id stringlengths 36 36 | case_id int64 128 13.6k | language stringclasses 2
values | system_prompt stringclasses 1
value | question stringlengths 105 16k | tags dict | rubrics listlengths 11 37 |
|---|---|---|---|---|---|---|
af865a52-51d3-4d3e-b170-d8d249e57f95 | 8,156 | global | You are an orthodontist seeing a 14-year-old male whose chief complaint is protrusive anterior teeth, progressively worsening over the past five years.
Family history: both parents have essentially normal facial profiles, while the grandmother exhibits a similar convex facial pattern. The family acknowledges that this facial pattern exists in the family; however, because the parents appear normal, they believe the problem is not hereditary. They also report that the patient’s facial profile appeared normal during the primary dentition, with protrusion gradually becoming evident during the mixed dentition.
The family reports having read online that some apparently similar cases achieved good results without extractions, and they therefore explicitly request a non-extraction orthodontic plan and have high expectations for the final esthetic outcome.
Extraoral examination shows maxillary protrusion, mandibular retrusion, and mentalis muscle strain; an increased lower facial third; and an essentially symmetric face with visible periorbital dark circles. The patient has already undergone voice change and has facial hair stubble. Intraoral examination shows ~2 mm crowding in both the maxillary and mandibular arches. Both maxillary and mandibular incisors are proclined; there is a severe (Grade III) overjet with a normal overbite; and bilateral distal molar relationships. Cephalometric analysis shows SNA = 84°, SNB = 76°, SN–MP = 42°, U1–PP = 114°, L1–MP = 100°, and Y-axis angle = 75°.
Please provide treatment recommendations and explain the etiology and prognosis to the parents. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Dentistry"
]
} | [
{
"rubric_detail": "Diagnose skeletal Class II based on SNA and SNB (i.e., an elevated ANB indicating a skeletal Class II relationship).",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 6
},
{
"rubric_detail": "Based on SN–MP = 42°, conclude a high-angle pattern an... | |
68922ab6-13c7-422c-9e0c-2429a4fafd7b | 8,473 | global | The patient was diagnosed with chronic Hepatitis B during a physical examination 20 years ago but did not receive standardized treatment. About one year ago, without obvious precipitating factors, the patient experienced upper abdominal pain. The patient visited a local hospital where 'primary liver cancer' was suspected, and subsequently visited an oncology hospital where the diagnosis of 'primary liver cancer (consistent with hepatocellular carcinoma)' was confirmed. The patient received oral 'Lenvatinib' for 10 months and underwent Transarterial Chemoembolization (TACE) 8 times. Currently, the patient is on long-term oral targeted therapy with 'Regorafenib.' An upper abdominal MRI (plain scan plus contrast-enhanced) performed at our outpatient department indicated: 1. Post-treatment changes in a large mixed-signal multinodular lesion in the right hepatic lobe; most of the lesion shows no obvious enhancement. However, clumped/patchy enhancement is noted around a lesion at the lateral aspect of the hepatic dome, suggesting residual viable tumor in that area. 2. A quasi-round soft-tissue lesion with mixed signal intensity is seen filling the gallbladder fossa, appearing to be connected to the cystic duct; cholelithiasis cannot be excluded; please correlate with clinical history and relevant examinations. 3. Left renal cyst. Alpha-fetoprotein (AFP) measurement [2022-6-17 11:00:33]: AFP 1,920.000 ng/mL. Please provide a suitable treatment plan for this patient along with the rationale. | {
"time_sensitivity": {
"day": "17",
"time_sensitivity": "Strongly time-sensitive",
"year_month": "2022-06"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Hepatobiliary and Pancreatic Surgery"
]
} | [
{
"rubric_detail": "Suggests performing a whole-body PET-CT or a contrast-enhanced CT covering the chest, whole abdomen, and pelvis to complete a comprehensive restaging evaluation.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 5
},
{
"rubric_detail": "Lists Chi... | |
82664b2b-6471-4f66-a496-e35a67a18d40 | 8,610 | global | Case information:
A 42-year-old woman was brought to the emergency department for “nausea and vomiting with confusion for 2 hours.” Her family reports a history of “depression,” long-term use of multiple medications (details unknown), and suicidal ideation 6 months ago.
On arrival: T 38.5°C, P 115/min, R 28/min, BP 110/70 mmHg. She is agitated and restless, with facial flushing. Pupils are ~5 mm bilaterally with sluggish light reflexes. Skin is dry with anhidrosis. Lung auscultation is unremarkable. Abdomen is soft and non-tender, with markedly decreased bowel sounds. Limb muscle tone is increased; deep tendon reflexes are hyperactive bilaterally; Babinski sign is negative.
Ancillary tests: Arterial blood gas shows pH 7.32, PaCO2 30 mmHg, PaO2 95 mmHg, HCO3− 16 mmol/L, lactate 3.2 mmol/L. CBC: WBC 12.5×10^9/L, neutrophils 82%. ECG: sinus tachycardia; QRS duration 115 ms.
The emergency physician initially suspects “severe pneumonia with infectious encephalopathy,” and immediately initiates physical cooling, empiric ceftriaxone, and rapid infusion of large-volume normal saline. Subsequently, the patient develops paroxysmal generalized convulsions; repeat blood gas shows pH 7.20.
Please answer the following:
1. For the patient’s current convulsive seizures and acidosis, provide the preferred pharmacologic intervention and the specific pharmacologic rationale.
2. During maintenance of hemodynamic stability, if the patient’s blood pressure decreases further, how should vasoactive agents be selected? Critically appraise the specifics of normal-saline use in this case.
3. If the pupils constrict from 5 mm to 2 mm and the respiratory rate decreases (10/min), the family suspects concomitant “opioid use.” Evaluate the risks of diagnostic administration of naloxone at this time.
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Emergency and Critical Care Medicine"
]
} | [
{
"rubric_detail": "For seizures and acidosis, the first-line pharmacologic intervention is intravenous bolus administration of high-concentration sodium bicarbonate (NaHCO3).",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 10
},
{
"rubric_detail": "The therapeuti... | |
f003d40a-1190-409d-841e-84da045d24cc | 8,660 | global | Patient: Male, 58 years old. Admitted due to "right upper quadrant abdominal distension and pain accompanied by weight loss and yellowing of the skin and sclera for 2 months." History of chronic hepatitis B for 20 years without regular antiviral treatment; history of long-term alcohol consumption. Physical Examination: Moderate jaundice of the skin and sclera; liver palpable 3cm below the costal margin, hard texture, irregular edge, non-tender. Laboratory Findings: Blood count showed mild anemia; Liver Function: ALT 120 U/L, AST 185 U/L, TBil 85 μmol/L, DBil 70 μmol/L, ALB 32 g/L; Hepatitis B serology indicated positive HBsAg, HBeAb, and HBcAb; HBV-DNA 5.6×10⁴ IU/mL. Tumor Markers: AFP 1250 ng/mL, CEA 35 ng/mL, CA19-9 480 U/mL. Contrast-enhanced CT of the upper abdomen: An irregular mass approximately 6.5cm × 5.8cm in the right hepatic lobe, showing significant heterogeneous enhancement in the arterial phase and washout in the portal venous and delayed phases, presenting a typical "wash-in and wash-out" pattern; additionally, a weakly enhancing lesion approximately 2cm was observed in the left hepatic lobe with indistinct boundaries and mild dilation of the distal intrahepatic bile ducts; several enlarged lymph nodes were visible at the porta hepatis. The patient underwent a needle biopsy of the right lobe mass at an outside hospital, with the pathology report indicating "moderately to poorly differentiated hepatocellular carcinoma." Current Status: General condition fair, Child-Pugh Grade B (8 points), ECOG Performance Status 1.
Based on the case information above, answer the following questions:
1. Diagnosis and Diagnostic Basis: What is the diagnosis and the rationale?
2. Differential Diagnosis: Which diseases need to be differentiated and why?
3. Further Investigations: What further investigations are needed to clarify the diagnosis and formulate a treatment plan?
4. Next Treatment Plan: Based on your comprehensive judgment, formulate the next treatment plan. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Hepatobiliary and Pancreatic Surgery"
]
} | [
{
"rubric_detail": "The diagnosis section indicates that a diagnosis of pure hepatocellular carcinoma (HCC) is incomplete or contradictory, and the possibility of combined hepatocellular-cholangiocarcinoma (cHCC-CCA) or synchronous double primary malignancies must be considered.",
"rubric_number": 1,
"r... | |
a4119dbd-d5aa-4b1f-a215-d2f1b7285165 | 8,684 | global | Patient Li XX, female, 67 years old, was admitted due to chest pain persisting for 6 hours. Post-admission electrocardiogram (ECG) indicated ST-segment elevation in leads II, III, and aVF. Emergency cardiac biomarker panel revealed: LDH 205 U/L, CK 288 U/L, CK-MB 57 U/L, and cardiac troponin I (cTnI): 5.04 ng/mL. The patient has a 10-year history of hypertension, with maximum blood pressure reaching 210/118 mmHg. She is on long-term oral medication comprising Levamlodipine Besylate Tablets (5 mg/day) and Valsartan (80 mg/day). She reported acceptable blood pressure control; blood pressure measured upon admission was 138/89 mmHg. The patient denied a history of diabetes. She has a history of gastric ulcer and experienced gastric ulcer bleeding 2 years ago, which was cured after administration of acid suppressants and gastric mucosal protective agents. Physical examination upon admission showed an acutely ill appearance and the patient was alert. Auscultation revealed a heart rate of 98 beats/min, regular rhythm, no split heart sounds, and no pathologic murmurs auscultated over the valvular areas. A few moist crackles were audible at both lung bases. Based on the patient's condition, please provide emergency and subsequent treatment plans, and complete disclosure of the condition and physician–patient counseling. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Cardiovascular Medicine"
]
} | [
{
"rubric_detail": "The model did not explicitly recommend a pharmacological loading dose comprising chewing 300 mg of Aspirin Enteric-coated Tablets combined with oral administration of 600 mg of Clopidogrel Bisulfate Tablets.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weigh... | |
bb0a8654-2760-4fa0-9fa6-0e047c0d8d71 | 8,710 | global | A 28-year-old woman was admitted to the emergency department due to "severe colicky abdominal pain involving the entire abdomen accompanied by vomiting and limb weakness for 12 hours." She had experienced two similar episodes in the past, both triggered by "dieting for weight loss" or the "premenstrual period." An exploratory laparotomy had previously shown no abnormalities, and she was diagnosed with "intestinal functional disorder."
Physical examination: T 37.4°C, P 118/min, R 22/min, BP 165/105 mmHg. She was alert but in extreme distress, crying out and moaning. Pupils were equal and round bilaterally, with intact light reflexes. The abdomen was soft and non-distended, with mild diffuse tenderness on light palpation, but no focal tenderness, rebound tenderness, or guarding; bowel sounds were decreased. Neurologic examination: muscle strength in all four limbs was grade 3/5, tendon reflexes were diminished, and pathological reflexes were negative.
Laboratory tests: complete blood count and amylase were normal; serum sodium 126 mmol/L, serum potassium 3.4 mmol/L. Urinalysis showed protein (-) and occult blood (-), but the family reported that during the last two episodes the urine darkened after being left in sunlight, appearing dark red. ECG showed sinus tachycardia. Abdominal plain radiography revealed no free subdiaphragmatic air and no signs of intestinal obstruction.
The emergency physician initially suspected "hypokalemic periodic paralysis," but after potassium supplementation and symptomatic treatment, the patient's abdominal pain worsened further, and she developed psychiatric symptoms such as incoherent speech and hallucinations, followed by generalized tonic–clonic seizures.
Please answer the following questions:
1. The patient developed respiratory muscle weakness (with a decrease in PaO2) and severe hyponatremia (122 mmol/L). If endotracheal intubation and mechanical ventilation are planned at this time, list the contraindications for selecting induction agents and justify how to balance "fluid restriction" versus "maintenance of effective circulating volume" in this condition.
2. For assessment of neurologic impairment in this patient, in addition to proximal limb weakness and encephalopathic features, identify neurologic manifestations that are highly likely to be overlooked in clinical practice, and explain how these manifestations differ in prognostic weighting.
3. Assume that at 48 hours after admission, the abdominal pain is relieved, but the patient suddenly develops severe back pain and sensory abnormalities in both lower limbs, followed by a sharp decrease in urine output. Laboratory tests show mildly elevated creatine kinase (CK), urine occult blood (+) but no red blood cells on microscopy. Derive the underlying pathophysiological mechanism of this new symptom cluster, and explain why urinary alkalinization therapy may pose risks at this time. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Neurology"
]
} | [
{
"rubric_detail": "Barbiturates (e.g., thiopental sodium) are explicitly listed as absolute contraindications for anesthetic induction.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 10
},
{
"rubric_detail": "Omission of: \"Etomidate, by inhibiting 11β-hydroxyla... | |
669ccd28-509f-4e5b-a3c6-f4cc7d8930cf | 9,022 | global | A 56-year-old male patient was admitted to the ICU via the Emergency Department due to 'sudden onset of confusion accompanied by hematemesis for 2 hours.' The patient has a 15-year history of chronic hepatitis B without regular antiviral therapy; liver cirrhosis (compensated stage) was diagnosed 5 years ago; he has a smoking history of 30 years. Physical examination: T 37.2℃, P 128 bpm, R 26 breaths/min, BP 85/50 mmHg. The patient was in a deep coma, presented with moderate jaundice of the skin and sclera, several spider angiomas on the anterior chest, abdominal distension, and positive shifting dullness. Laboratory tests showed: HGB 65 g/L, WBC 12.0×10⁹/L, PLT 45×10⁹/L; Total Bilirubin 58 μmol/L, Albumin 26 g/L, Prothrombin Time Activity (PTA) 42%; AFP 850 ng/mL. Emergency gastroscopy revealed Esophageal Variceal Bleeding (EVB), for which sclerotherapy was performed. Vital signs are currently stabilizing under rapid fluid resuscitation and vasopressin support. On the second day post-ICU admission, a repeat contrast-enhanced abdominal CT showed: A solitary space-occupying lesion approximately 4.2 cm in diameter in the right hepatic lobe, exhibiting significant heterogeneous enhancement in the arterial phase and washout in the portal venous and delayed phases, consistent with a 'wash-in and wash-out' pattern; a filling defect was observed in the main portal vein trunk with complete distal flow obstruction, accompanied by extensive abdominal collateral circulation. The patient's consciousness has shifted to semicoma; blood gas analysis indicates mild respiratory acidosis complicated by metabolic alkalosis. Based on the "EASL Clinical Practice Guidelines: Management of Hepatocellular Carcinoma (2025)," please answer the following questions:
1. According to the guidelines, what is the most appropriate anti-tumor treatment regimen for this patient currently? Please explain your reasoning.
2. Regarding the filling defect in the main portal vein trunk shown on CT, is a needle biopsy or additional imaging required to clarify its nature before formulating a specific follow-up treatment plan? Please provide the basis for your answer.
3. Please analyze the impact of the patient's change in consciousness on tumor staging assessment and prognosis. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Hepatobiliary and Pancreatic Surgery"
]
} | [
{
"rubric_detail": "Explicitly states that the patient does not present any indications for active anti-tumor treatment (including systemic therapy)",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 10
},
{
"rubric_detail": "The response fails to mention evaluation ... | |
f223b123-621c-466f-b9fc-8e0cbe2785bd | 9,061 | global | You are an orthodontist. You have received a 10-year-old female patient whose parents' chief complaint is dental misalignment and "protrusive maxillary incisors" (buck teeth), which have gradually worsened over the past 2 years. There is no family history of similar facial features.
Upon taking the medical history, it was found that the patient has a habit of nocturnal mouth breathing. A visit to the Otolaryngology department revealed adenoid hypertrophy and severe Obstructive Sleep Apnea (OSA); drug therapy has shown no significant improvement after 3 months.
Extraoral examination reveals a convex profile, maxillary protrusion, mandibular retrusion, and a long lower facial third. Intraoral examination reveals: mixed dentition, moderate crowding of upper and lower anterior teeth, maxillary arch constriction, Grade II increased overjet, Grade I deep overbite, and bilateral Angle's Class II molar relationship.
Cephalometric analysis shows a distinct concavity on the lower border of the C2 vertebral body, while the lower borders of C3 and C4 are flat. Measurements indicate SNA=80°, SNB=74°, SN-MP=32°, U1-PP=120°, and L1-MP=90°.
After researching online and consulting other clinics, the family has presented the following demands:
1. Non-extraction treatment only; they claim extraction will cause teeth to become spaced, mobile, and prone to loss later in life, affecting eating;
2. No adenoidectomy, as they believe it will affect immunity;
3. Request to wear silicone-based appliances, strictly for night use only, so as not to affect daytime study.
Please provide professional treatment recommendations based on the above information and incorporating the latest clinical guidelines or expert consensus from 2024-2025. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Dentistry"
]
} | [
{
"rubric_detail": "Diagnose Angle Class II malocclusion based on the distal molar relationship.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 5
},
{
"rubric_detail": "Diagnose skeletal Class II malocclusion based on SNA, SNB, and ANB values.",
"rubric_numbe... | |
d9a3a37b-2fde-46f3-90c6-48a6d2215322 | 9,126 | global | Topic: An Anomalous Case of "Fulminant Myocarditis"
Role Setting: You are a Clinical Instructor in the Cardiac Care Unit (CCU).
Case Background: The patient, a 29-year-old female, was admitted to the emergency department due to "fever and generalized myalgia for 3 days, followed by shortness of breath and chest tightness for 6 hours."
History of Present Illness: Three days ago, the patient developed low-grade fever, fatigue, and muscle soreness in the thighs without apparent cause. Six hours ago, she experienced sudden dyspnea. Emergency ECG showed sinus tachycardia (130 bpm) and diffuse ST-T changes. Cardiac biomarkers were significantly elevated: cTnI 15.6 ng/mL (reference <0.03), CK 18,500 U/L, and CK-MB 420 U/L. NT-proBNP was 4500 pg/mL. Echocardiography (Echo) revealed diffuse hypokinesis of the left ventricular wall with an LVEF of 35%. The preliminary diagnosis was "Acute Fulminant Myocarditis and Cardiogenic Shock."
Turning Point: After admission, ECMO (Extracorporeal Membrane Oxygenation) support was initiated, but the physician noted several discrepancies:
1. Although the patient's CK (Creatine Kinase) is extremely high, the CK-MB/CK ratio is only 2.2%, far below the 5%-20% typically seen in myocardial injury.
2. The patient presents with dark-colored urine (occult blood +++, yet microscopy shows only 0-2 RBCs/HPF).
3. Despite the low LVEF, the cardiac chambers are not enlarged, and the patient exhibits symmetrical proximal limb weakness with hyporeflexia.
4. Upon reviewing the history, the patient took Oseltamivir and certain self-prescribed herbal medicines for a "severe cold" one week prior to onset and had engaged in high-intensity fitness training.
Questions: What is the most likely clinical diagnosis for this patient? What is the preferred laboratory test (specific antibody) for confirmation? Regarding treatment, beyond life support, what is the most critical direction for pharmacological intervention? | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Emergency and Critical Care Medicine"
]
} | [
{
"rubric_detail": "Explicitly state that the most likely diagnosis is \"Immune-Mediated Necrotizing Myopathy (IMNM).\"\n",
"rubric_number": 1,
"rubric_tag": "Instructions Following",
"rubric_weight": 10
},
{
"rubric_detail": "Explicitly state that confirmation requires testing for \"Anti-SR... | |
2b54a7d1-2d11-45ff-985e-5ce390ec0e1c | 9,238 | global | An 81-year-old female patient presented with a gastric mass. A submucosal tumor of approximately 15mm in the antrum of the stomach was found on a routine physical examination. She was asymptomatic at that time and was followed up. One year later, a follow-up gastroscopy revealed that the tumor had grown to 20mm, with a central depression on its surface, accompanied by anemia. Endoscopic ultrasound (EUS) showed that the lesion originated from the muscularis mucosae of the gastric wall, presenting as a homogeneous hypoechoic area with an intact muscularis propria, measuring approximately 14.2 x 8 mm. CT scan showed no lymph node enlargement or distant metastasis.
Questions:
1. Based on lesion progression and imaging characteristics, what are the first differential diagnoses you would consider? What is the gold standard for diagnosis?
2. Given the size and morphological characteristics of this lesion, what is the best biopsy method for obtaining preoperative pathology? Explain your reasoning.
3. If the biopsy pathology indicates "spindle cell proliferation, SMA(+), Desmin(-), c-KIT(-), CD34(-), S100(-)", what type of tumor is it diagnosed as?
4. Considering the tumor's location near the pylorus and its nature, what is the preferred surgical approach? Please explain the clinical basis for choosing this surgical procedure. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Gastrointestinal Surgery"
]
} | [
{
"rubric_detail": "List the differential diagnoses that should include GIST (gastrointestinal stromal tumor) and PF (plexiform fibromyxoma).",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 10
},
{
"rubric_detail": "Clearly states that the gold standard for diagn... | |
9fe8853f-42c5-41d4-8622-79e5b6a9a753 | 9,257 | global | Female patient, 60 years old, admitted on February 19, 2016, due to "recurrent upper abdominal distension and pain for over 2 years, aggravated for over 1 month." Over the past 2 years, the patient developed upper abdominal distension and pain without obvious triggers, which became more pronounced after eating or walking. She sought diagnosis and treatment at outside hospitals multiple times, was diagnosed with "gastritis," and symptoms were slightly alleviated after symptomatic supportive treatment. Over the past month, the aforementioned symptoms worsened, accompanied by nausea and vomiting (vomitus consisted of gastric contents), acid reflux, a burning sensation in the chest, fatigue and anorexia, without hemoptysis, hematemesis, or hematochezia. This was accompanied by chest tightness, palpitations, lightheadedness, and dizziness, as well as lumbar and lower extremity pain, which was tolerable; there was no fever. She has a history of hypertension for over 10 years, takes antihypertensive medication regularly, and blood pressure control is fair. Physical examination: Pulse 79 bpm, regular rhythm; Blood Pressure 147/73 mmHg (1 mmHg = 0.133 kPa); no edema in bilateral lower extremities, skin temperature and color are normal, muscle strength is normal, and mobility is preserved; pulsation in bilateral femoral arteries, popliteal arteries, and dorsalis pedis arteries is weakened; left Ankle-Brachial Index (ABI) is 0.93, right ABI is 0.88. Abdominal CT Angiography (CTA) showed: mural thrombus formation in the lower segment of the abdominal aorta with moderate-to-severe stenosis, calcification in the middle and lower segments of the abdominal aorta, no obvious stenosis in bilateral renal arteries, establishment of collateral circulation, dilation of the inferior mesenteric artery, and suboptimal visualization of mesenteric branch arteries. Please read the case and provide: 1. Diagnosis; 2. Diagnostic Basis; 3. Further Investigations; 4. Treatment Plan. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Gastrointestinal Surgery"
]
} | [
{
"rubric_detail": "The diagnostic conclusion fails to explicitly identify the patient as suffering from juxtarenal abdominal aortic occlusion.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": -10
},
{
"rubric_detail": "Explicitly provides a diagnosis of chronic me... | |
ec20a6b0-7320-454e-8398-8f382a89efd2 | 9,287 | global | Ms. Li, 32 years old, presented with amenorrhea for 9 weeks, with no embryonic cardiac activity detected on ultrasound. A review of her medical history reveals 3 spontaneous abortions within the last 3 years: the 1st was a biochemical pregnancy at 6 weeks, the 2nd involved an empty gestational sac at 9 weeks, and the current instance is the 3rd. She is extremely anxious and requests a comprehensive examination to clarify the cause. Question: According to the "2025 Chinese Expert Consensus on Clinical Practice of Etiology-Graded Screening for Recurrent Spontaneous Abortion," can Ms. Li's condition be diagnosed as Recurrent Spontaneous Abortion (RSA)? Please elaborate on the diagnostic criteria and the underlying clinical rationale. Assuming you plan to initiate etiology-graded screening for Ms. Li, based on this tiered screening concept, list the main areas (at least four) that should be included in the primary (Level 1) screening to be performed first, and briefly explain the rationale. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Obstetrics and Gynecology"
]
} | [
{
"rubric_detail": "Explicitly determine that Ms. Li's condition meets the diagnostic criteria for Recurrent Spontaneous Abortion (RSA).",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 8
},
{
"rubric_detail": "The model fails to correctly define Recurrent Spontane... | |
d19a66bd-6552-4d0f-9574-6128f4f7ff05 | 9,309 | global | I am using HEK-293T cell samples to perform Western Blot (WB) detection of the target protein Nrf2 (approximately 100 kDa). Across multiple experiments, I have frequently observed an absence of signal or extremely weak signal, whereas the internal control protein β-actin (approximately 42 kDa) on the same gel shows clear bands. The experimental conditions are as follows: 1.5 mm thick, 15-well, 7.5% SDS-PAGE gel; Nitrocellulose (NC) membrane; wet transfer at 100 V constant voltage for 100 minutes; blocking with 5% non-fat milk at room temperature for one hour; primary antibody (1:1000) incubation on a shaker at 4°C overnight; HRP-conjugated secondary antibody against the host species of the primary antibody incubated at room temperature for one hour; and imaging using enhanced chemiluminescence (ECL). Without changing the cell line type, SDS-PAGE gel specifications, electrophoresis, transfer conditions, blocking conditions, or the primary antibody and its incubation parameters, please analyze the possible reasons for the absent/weak Nrf2 signal and provide corresponding experimental protocol recommendations. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Basic Medicine",
"Molecular Biology"
]
} | [
{
"rubric_detail": "The model iteratively repeats the experimental parameters provided in the user input, resulting in content redundancy.",
"rubric_number": 1,
"rubric_tag": "Structure and Formatting",
"rubric_weight": -5
},
{
"rubric_detail": "The layout is disorganized, lacking clear subh... | |
c437a033-7f62-473c-810d-35ed79d60df6 | 9,462 | global | A 52-year-old female patient was admitted due to "fever and joint pain accompanied by rash for 2 weeks, exacerbated for 3 days." Two weeks prior, the patient developed a fever without an obvious precipitating factor, with body temperature fluctuating between 38.5-39.8°C, accompanied by symmetric swelling and pain in the wrists and knees, as well as a non-pruritic erythematous rash on the cheeks, which worsened after sun exposure. In the last 3 days, she experienced exertional dyspnea and orthopnea. The patient reported a history of recurrent oral ulcers but did not seek medical attention. She has a 5-year history of hypertension, controlled with amlodipine; there is no known history of renal disease or hepatitis. Upon admission, physical examination revealed T 39.1°C, BP 145/90 mmHg; the patient was alert. A malar rash (butterfly rash) was observed on the face. Fine crackles were audible at both lung bases. The cardiac silhouette was enlarged with leftward and inferior displacement, and a grade 2/6 systolic murmur was heard at the apex. The abdomen was non-tender. Moderate pitting edema was present in both lower extremities. Ancillary investigations showed: CBC revealed WBC 3.2×10⁹/L, Hb 82 g/L, PLT 85×10⁹/L. Urinalysis showed protein (+++), 5–8 granular casts/HPF; 24-hour urine protein quantification was 3.8 g. Blood biochemistry indicated Albumin 28 g/L, estimated Glomerular Filtration Rate (eGFR) 58 mL/min/1.73m², ALT 85 U/L, AST 92 U/L, total bilirubin normal. Immunological tests showed ANA 1:320 (speckled pattern), anti-dsDNA antibody positive (1:80), anti-Sm antibody negative, Complement C3 0.48 g/L, C4 0.09 g/L. ESR was 98 mm/h, C-reactive protein (CRP) 42 mg/L, and Procalcitonin (PCT) 0.8 ng/mL. Echocardiography showed increased left ventricular end-diastolic internal diameter (LVEDD) accompanied by mild mitral regurgitation. Chest CT indicated small bilateral pleural effusions accompanied by thickening of pulmonary interstitial markings. Please answer:
1. What is the most likely preliminary diagnosis for this patient? List at least three diagnostic bases.
2. Which diseases need to be prioritized for differential diagnosis? List two major diseases and explain the key differentiation points.
3. What is the most urgent clinical problem currently requiring management? What immediate measures should be taken?
4. To clarify disease activity and guide treatment, which two key laboratory tests need to be urgently completed in addition to those already performed?
5. Based on the above situation, propose an initial treatment regimen, which must cover specific drug choices for immunosuppressive therapy and complication control. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Medical Laboratory Science"
]
} | [
{
"rubric_detail": "Explicitly identifies the patient's most likely preliminary diagnosis as Systemic Lupus Erythematosus (SLE).",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 10
},
{
"rubric_detail": "Diagnostic basis mentions specific mucocutaneous symptoms suc... | |
308de99f-a853-45a6-be11-67be5b113333 | 9,582 | global | Patient: Male, 46 years old. Admitted to the ICU via the emergency department due to "fever, progressive dyspnea accompanied by dry cough for 2 weeks, exacerbated for 2 days." The patient underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT) for acute myeloid leukemia (AML) 18 months ago. Admission physical examination: T 38.4°C, P 118 bpm, RR 28/min, BP 105/65 mmHg. The patient was conscious but lethargic; chest auscultation revealed diminished breath sounds in both lungs, without obvious wheezes or crackles; cutaneous sclerosis and oral ulcers were visible. Blood gas analysis (nasal cannula oxygen at 5 L/min): pH 7.42, PaO2 62 mmHg, PaCO2 32 mmHg. Bedside chest X-ray showed increased radiolucency in both lungs without obvious infiltrates.
The preliminary emergency diagnosis was "severe pneumonia, Type 1 respiratory failure," and empirical broad-spectrum antibiotic and antifungal therapy was initiated. Further investigations were completed: Chest High-Resolution CT (HRCT) demonstrated a diffuse mosaic attenuation pattern in both lungs, with significant air trapping on expiratory scans; Pulmonary Function Tests (PFT) showed FEV1 at 38% of predicted value, FEV1/FVC at 0.55, significantly elevated RV/TLC, and mildly reduced diffusing capacity (DLCO). Laboratory tests indicated negative Cytomegalovirus (CMV) DNA and negative Galactomannan (GM) test. The patient still presents with significant shortness of breath. Please answer the following questions based on the 2024 "ERS/EBMT clinical practice guideline on treatment of pulmonary chronic graft-versus-host disease in adults":
1. What is the current core diagnosis for this patient? In addition to the administration of systemic corticosteroids, should Extracorporeal Photopheresis (ECP) or Rituximab be immediately combined to enhance efficacy? Please explain the rationale.
2. When formulating the "FAM regimen" (Fluticasone + Azithromycin + Montelukast) for this patient, considering the current respiratory distress, can the dosing frequency of Azithromycin be increased (e.g., once daily) to exert its anti-inflammatory effects? Furthermore, is long-term prophylactic use of Azithromycin recommended for this type of post-transplant patient?
3. After 2 weeks of treatment with sufficient doses of corticosteroids, if the patient's symptoms of shortness of breath improve but chest HRCT still shows significant mosaic attenuation, can the treatment be judged ineffective based on "lack of radiological improvement," necessitating maintenance of the original steroid dose or dose escalation? | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Respiratory Medicine"
]
} | [
{
"rubric_detail": "Explicitly identifies the patient's core diagnosis as Bronchiolitis Obliterans Syndrome (BOS), a manifestation of chronic Graft-versus-Host Disease (cGVHD) after allo-HSCT",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 8
},
{
"rubric_detail": ... | |
7bcf6aef-2235-45cd-8b02-02e8d9a00a39 | 9,769 | global | I harvested a mouse spleen and mechanically dissociated it to generate a single-cell suspension. I want to use flow cytometry to stain and assess activation of regulatory T cells (Tregs). My current staining panel is: CD3, CD8, Foxp3, and CD44. By flow cytometry, the proportion of Tregs is 0.05%.
Please help me analyze the possible reasons, and design a complete Treg staining scheme, including (i) the flow-cytometry staining workflow and (ii) the antibody panel to be used.
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Basic Biomedical Sciences",
"Immunology"
]
} | [
{
"rubric_detail": "Identifies improper gating strategy as a possible cause of an abnormally low Treg frequency in flow-cytometry results.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 5
},
{
"rubric_detail": "Argues that Foxp3 antibody inactivation or fluoroph... | |
85a7c05e-2235-4d0c-ba8c-a2cca33ab401 | 9,854 | global | Chief complaint: Elevated blood glucose for over 20 years; poor appetite for 4 days.
History of present illness: More than 20 years ago, a routine health check revealed fasting plasma glucose (FPG) of 10 mmol/L. The patient had no polydipsia, polyphagia, polyuria, or weight loss. He visited our outpatient clinic and was considered to have “diabetes mellitus.” He subsequently received regular oral glucose-lowering therapy with acarbose 100 mg TID, metformin (Glucophage) 500 mg TID, and repaglinide 1 mg TID. His preprandial glucose was monitored at 5–7 mmol/L and postprandial glucose at 9–11 mmol/L.
Nine months ago, without an obvious trigger, he developed numbness in the distal extremities and a sensation of swelling in both feet. Self-monitored glucose showed fasting 8–10 mmol/L and postprandial 11–13 mmol/L, but his regimen was not adjusted.
Two months ago, fasting glucose was 10.9 mmol/L and postprandial glucose 12.5 mmol/L. Repeat testing showed HbA1c 7.9%, urine glucose 2+, and urine ketones negative. Because glycemic control was suboptimal, his outpatient regimen was adjusted to empagliflozin 10 mg QD, pioglitazone 30 mg QD, and acarbose (Baytangping) 50 mg TID. Glucose monitoring showed fasting 10–11 mmol/L and postprandial 11–14 mmol/L, and the patient reported improvement in limb numbness.
Half a month ago, he was hospitalized in our department. Based on glucose monitoring, the current regimen was adjusted to liraglutide 1.2 mg subcutaneously, combined with acarbose 50 mg TID, empagliflozin 10 mg QD, and metformin extended-release 1.5 g QD. At present, blood glucose is controlled with fasting <7 mmol/L and 2-hour postprandial glucose fluctuating at 8–10 mmol/L.
Four days ago, the patient developed poor appetite and reluctance to eat, accompanied by constipation. He had no palpitations or diaphoresis, no polydipsia or polyuria, and no dizziness, headache, or disturbance of consciousness. He took probiotics and senna on his own to assist defecation with poor effect.
Three days ago, he developed palpitations and fatigue with nausea and dry heaving. He ate irregularly and consumed large amounts of sugary chocolate and lactobacillus beverages. Palpitations gradually improved, but poor appetite and fatigue did not significantly improve. With assistance from family, he had one bowel movement; afterward, he gradually developed fecal incontinence, with intermittent passage of stool during flatus.
Two days ago, he developed fatigue and somnolence, was unable to sit up independently, and developed choking/coughing when drinking water. Nocturia increased (once per hour), with sticky urine. He intermittently consumed sugary beverages but did not eat normal food. Self-measured fasting glucose was 10 mmol/L.
One day ago, he developed dry mouth and polydipsia, followed by progressive deep, labored breathing. He became agitated, had slurred speech, then became increasingly somnolent with impaired consciousness. He was brought to our emergency department by ambulance (120). On arrival, he was stuporous; random blood glucose was 18.7 mmol/L ↑. Arterial blood gas showed metabolic acidosis. Urinalysis showed urine glucose 4+ and urine ketones 3+. β-hydroxybutyrate was elevated. The diagnosis of diabetic ketoacidosis (DKA) was considered clear. After sufficient ketone-lowering treatment, acidosis still could not be corrected. He was transferred to our department for further evaluation and treatment.
Since onset, the patient has been stuporous, with poor mental status. Sleep is acceptable. He has an indwelling urinary catheter. Bowel movements are 2–3 times/day. Over the past 9 months, his weight has decreased by a total of 10 kg. During the course, there has been no joint pain or swelling; no low-grade afternoon fever or night sweats; no cough or sputum; no abdominal distension, diarrhea, or constipation. Mood and appetite had been acceptable, but sleep was poor due to increased nocturia.
Past medical history: Hypertension for more than 30 years, maximum 150/90 mmHg. Currently taking irbesartan/hydrochlorothiazide 1 tablet QD and metoprolol succinate extended-release 1 tablet QD. Usual blood pressure is controlled at 130/80 mmHg. Denies food and drug allergies.
Physical examination: T 37.0°C, P 127/min, R 35/min, BP 122/78 mmHg; nasal cannula oxygen 1 L/min, SaO2 96–98%. Stuporous with deep, labored breathing. A small amount of moist rales could be heard on inspiration in both lower lungs; no pleural friction rub. Regular heart rhythm; no murmurs; no pericardial friction rub. Abdomen flat; no abdominal wall varices; soft; no tenderness or rebound; no palpable masses. Liver and spleen not palpable; Murphy sign negative; no renal percussion pain; no shifting dullness. Normal bowel sounds (4/min). No edema in both lower limbs.
Laboratory tests:
(Day 1) Arterial blood gas: pH 6.985, PCO2 12.9 mmHg ↑, PO2 141.7 mmHg, sodium 127.1 mmol/L, potassium 3.57 mmol/L, lactate 2.46 mmol/L ↑, glucose 17.6 ↑, SaO2 98%.
(Day 3) Arterial blood gas: pH 7.383, PCO2 17.5 mmHg ↓, PO2 85.2 mmHg, HCO3- 10.2 mmol/L ↓, BE -12.5 mmol/L ↓, anion gap (AG) 16.8 mmol/L ↑.
(Day 4) Arterial blood gas: calcium 1.51 mmol/L ↑, sodium 145 mmol/L, potassium 3.4 mmol/L ↓, lactate 0.8 mmol/L, pH 7.27 ↓, PCO2 15.4 mmHg, PO2 134 mmHg ↑, actual bicarbonate 6.9 mmol/L ↓, standard base excess -19.1 mmol/L ↓, oxygen saturation 98.6%.
(Day 1) Urine glucose 4+, urine ketones 3+, β-hydroxybutyrate 7450 μmol/L.
(Day 3) Urine glucose 4+, urine ketones 3+, β-hydroxybutyrate 4503 μmol/L.
(Day 7) Urine glucose 4+, urine ketones 2+, β-hydroxybutyrate 343 μmol/L.
(Day 8) Urine glucose 4+, urine ketones 2+, β-hydroxybutyrate 5772 μmol/L.
Biochemistry panel 1: ALT 12 U/L, prealbumin 31.1 g/L ↓, AST 16 U/L, total CO2 20.4 mmol/L ↓, potassium 4 mmol/L, sodium 138 mmol/L, chloride 107 mmol/L, calcium 2.25 mmol/L, glucose 10.7 mmol/L ↑, creatinine (enzymatic method) 47 μmol/L ↓, amylase 72 U/L.
Urine microalbumin/creatinine ratio 65.3 mg/g·Cr ↑.
Guideline requirement: Your plan must follow the 2024 Chinese Guidelines for the Prevention and Treatment of Diabetes.
You need to answer:
1) What is the patient's diagnosis?
2) The diagnosis of DKA is clear; however, after full treatment, the metabolic acidosis still cannot be corrected. How should this be managed?
3) Why are the blood and urine ketone bodies difficult to correct, and how should this be managed?
4) What types of glucose-lowering drugs can be used at present? Provide a specific regimen: Which class(es) of newer agents (e.g., SGLT2 inhibitors, GLP-1 receptor agonists) would you choose? Please provide the specific drug names, starting doses, titration targets, and rationale (must explain cardiovascular and renal benefits). | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Endocrinology and Metabolic Diseases"
]
} | [
{
"rubric_detail": "The diagnostic conclusion explicitly includes type 2 diabetes mellitus and diabetic ketoacidosis (DKA).",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 10
},
{
"rubric_detail": "The diagnostic conclusion includes diabetic peripheral neuropathy.... | |
4e906852-19f1-4380-9fc8-7f39af4ad3ca | 9,890 | global | Patient Profile
Patient: 45-year-old male. BMI 16.5 kg/m² (severe malnutrition), altered mental status (GCS 13), blood pressure 85/50 mmHg (on dopamine infusion).
Core Diagnosis:
Severe Pulmonary Tuberculosis (Type III, critical): Extensive bilateral cavitary destruction, complicated by septic shock.
Severe Acute Respiratory Distress Syndrome (ARDS): PaO₂/FiO₂ = 95 mmHg, currently under endotracheal intubation and mechanical ventilation.
High Risk of Drug-Induced Liver Injury (DILI): History of chronic alcohol consumption; admission ALT 125 U/L (3 times the upper limit of normal), Total Bilirubin 38 μmol/L.
Suspected Invasive Pulmonary Aspergillosis (IPA): Sputum culture positive for Aspergillus species, 1,3-β-D-glucan (G test) positive.
Current Medication (Transferred from external facility): Rifampicin 0.45g QD (via nasogastric tube), Isoniazid 0.3g QD (via nasogastric tube), Pyrazinamide 1.5g QD (via nasogastric tube), Ethambutol 0.75g QD (via nasogastric tube); Voriconazole 200mg BID (via nasogastric tube).
Guiding Principles
Strictly adhere to the "Expert Consensus on the Diagnosis and Treatment of Severe Pulmonary Tuberculosis" (2025 Edition).
Requirement: Comprehensive Diagnosis and Treatment Plan
1. Formulate a comprehensive pharmacotherapy regimen and provide specific protocol details.
2. Risk management and monitoring plan. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Respiratory Medicine"
]
} | [
{
"rubric_detail": "Did not suggest the immediate discontinuation of the three first-line anti-tuberculosis drugs: Isoniazid, Rifampicin, and Pyrazinamide.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": -8
},
{
"rubric_detail": "Pointed out that the reason for d... | |
31fe657a-50a8-46c8-8186-f6b8da611584 | 9,921 | global | The patient is a 59-year-old male diagnosed with right lung neuroendocrine carcinoma with brain metastases for over one year. His history includes first-line treatment with the "Adebrelimab + EP regimen," followed by maintenance therapy with "Adebrelimab + Etoposide." During maintenance therapy, he underwent radiotherapy for brain metastases. Subsequently, the patient presented due to new liver metastases and was enrolled in a clinical drug study, receiving one cycle of the "QLC5508 + QL1706 + Carboplatin" regimen. One week after treatment, current outpatient examination results indicate (abnormal values): Complete blood count (CBC): White blood cell (WBC) count 0.67×10^9/L, Platelet count 14×10^9/L; Procalcitonin (PCT) 1.17 ng/mL; Stool routine indicated fecal occult blood positive; Coagulation panel indicated Plasma Fibrinogen 6.86 g/L, plasma D-dimer 3.32 mg/L, Fibrin/fibrinogen degradation products (FDP) 11.24 μg/mL; C-reactive protein (CRP) 250.18 mg/L; Urinalysis indicated Urine Occult Blood +, Protein +, Nitrite +, Urobilinogen, Specific Gravity ≥1.030, urine microalbumin 0.15 g/L; Liver Function: Serum Total Bilirubin 37.7 μmol/L, Serum Direct Bilirubin 37.0 μmol/L. Questions: 1. What is the primary diagnostic consideration? 2. What differential diagnoses need to be considered? 3. What are the considered etiologies for these diagnoses? 4. What are the next steps for treatment and management, precautions during this period, and key points for communication with the patient and their family? | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Oncology"
]
} | [
{
"rubric_detail": "The preliminary diagnosis explicitly indicates Grade IV myelosuppression, specifically including suppression of leukocytes, neutrophils, and platelets.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 10
},
{
"rubric_detail": "Preliminarily iden... | |
5cc4e65d-8984-4352-8dc4-f707c9da5eb1 | 9,952 | global | Patient Profile: 51-year-old female, premenopausal, no family history of malignancy. ECOG Performance Status 0.
Core Diagnosis: Left triple-negative breast cancer (TNBC) (cT3N1M0, Stage IIIA). Core needle biopsy pathology: Invasive carcinoma of no special type (NST). Immunohistochemistry: ER (-), PR (-), HER2 (0). Ki-67 index: 70%.
Key Biomarkers:
PD-L1 Testing: PD-L1 expression positive in tumor-infiltrating immune cells (IC ≥1%).
BRCA1/2 Gene Testing: No pathogenic germline mutations detected.
Treatment History: Neoadjuvant Therapy: Received 8 cycles of "nab-paclitaxel + carboplatin + pembrolizumab" regimen. During treatment, developed Grade 2 peripheral neuropathy and Grade 1 immune-related hypothyroidism (well-controlled with levothyroxine supplementation).
Surgical Treatment: Underwent "left modified radical mastectomy + axillary lymph node dissection" after completing neoadjuvant therapy.
Postoperative Pathology: No residual invasive carcinoma cells observed in the primary breast lesion; only a small amount of ductal carcinoma in situ component found. Axillary lymph nodes (0/18) negative for metastasis. Assessment: ypTis ypN0, achieving pathological complete response (pCR).
Guiding Principles: Your decision must strictly adhere to the recommendations of the "Guidelines of Chinese Society of Clinical Oncology (CSCO) for Breast Cancer Diagnosis and Treatment (2025 Edition)" regarding "Adjuvant Therapy after Neoadjuvant Therapy for Triple-Negative Breast Cancer" and "Management of Immune Checkpoint Inhibitor-Related Toxicities."
Please Answer: 1) Adjuvant Treatment Decision: What is the postoperative adjuvant treatment regimen? 2) Management of Neoadjuvant-Related Toxicity During Postoperative Rehabilitation: How should the Grade 2 peripheral neuropathy that occurred during neoadjuvant therapy be managed during the postoperative rehabilitation period? What is the follow-up plan during adjuvant therapy for the established immune-related hypothyroidism? 3) Recurrence Risk Assessment and Long-Term Monitoring: Despite achieving pCR, what baseline high-risk factors does this patient have that suggest a need for close follow-up? In the long-term follow-up plan, apart from routine imaging examinations, which potential late toxicities related to prior treatments should be given special attention? | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Healthcare and Medicine",
"Clinical Medicine",
"Oncology"
]
} | [
{
"rubric_detail": "Explicitly state that since the patient achieved pCR, no additional postoperative adjuvant chemotherapy is required.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 8
},
{
"rubric_detail": "Recommend continuing pembrolizumab for postoperative a... | |
9a22b80c-9d00-488b-9e1e-7f9579efe2c2 | 10,086 | cn | 患者，68 岁，女性，因“多关节疼痛进行性加重、乏力伴食欲下降 3 个月，体检发现肾功能异常”由外院转入。患者近 1 年双膝疼痛明显加重，行走距离显著缩短，夜间疼痛影响睡眠，自述晨起关节僵硬明显，双手小关节反复肿胀、疼痛。骨科门诊影像学评估提示双膝关节结构性破坏明显，认为符合手术指征，拟在进一步完善评估后于 6–8 周内择期行全膝关节置换术（TKA）。术前常规检查发现肾功能异常并合并贫血，骨科建议住院进一步评估，由肾内科牵头开展多学科联合决策。沟通过程中患者多次强调“目前最影响生活的是无法行走，只要能把手术做了，其他问题可以暂时放一放”，对肾功能长期预后及透析相关风险理解有限，家属亦更关注近期疼痛缓解与功能恢复情况。
既往史方面，患者与家属对疾病诊断及用药情况表述不完全一致，外院电子病历无法调取。患者自述十余年前开始出现对称性小关节疼痛及晨僵，随后逐渐累及膝关节，长期服用“每周一次的免疫调节药物”及“每日一片激素类药物”，疼痛加重时自行购买止痛药服用，具体药名及剂量不详，否认近期使用造影剂。家属补充近半年患者乏力加重、食欲下降，体重较前下降约 3 kg，间断出现夜间出汗、心慌等情况。患者自述多年血糖控制不佳，长期夜间注射基础胰岛素，并口服 1–2 种降糖药物（其中至少一种为促胰岛素分泌类），近半年家属发现其夜间偶有意识模糊、出汗发冷等表现，但并非每次测量血糖，患者本人对低血糖症状感知迟钝。患者既往有血压升高史多年，长期口服钙通道阻滞剂控制，出现下肢肿胀时会自行加用利尿剂，但服用时间及剂量不规律。肾脏方面，患者否认肉眼血尿及肾绞痛史，仅称“这些年体检时医生提过肾功能不好，但一直未系统就诊肾内科”，既往 1 年内肾功能客观记录无法获取，是否被明确告知慢性肾脏病及其基线肌酐水平不清楚，近半年主观感觉尿量较前略有减少，但无明确少尿或无尿史。
入院查体：体温 36.8℃，脉搏 92 次/分，呼吸 18 次/分，入院血压 148/86 mmHg，皮肤黏膜轻度苍白，未见明显下肢凹陷性水肿，心肺腹查体未见明显异常，双膝关节活动受限，小关节触痛明显。住院期间血压呈明显昼夜反转趋势，白天多次测量在 140–155/80–95 mmHg，夜间监测及家庭记录中多次出现收缩压 <100 mmHg。入院体重 58 kg（半年前约 61 kg），尿量记录不完整，仅主诉夜间起夜 1–2 次、尿色偏深，24 小时出入量未严格留取。
实验室检查显示肾功能呈多时间点轻度波动：入院第 1、3、5 天血肌酐分别为 2.42、2.51、2.47 mg/dL，尿素氮 18.9 mmol/L；血钠 137 mmol/L，血钾 5.1 mmol/L，校正后血钙略低，血磷 1.55 mmol/L；碳酸氢根 18.2–19.6 mmol/L，动脉血气示 pH 7.34、PaCO₂ 34 mmHg、BE −4 mmol/L，乳酸正常。血红蛋白 92–100 g/L，呈正细胞正色素性贫血，白细胞计数略高、中性粒细胞比例升高，血小板偏高，白蛋白 33 g/L，总蛋白偏低；CRP 62 mg/L，ESR 85 mm/h，PCT 0.18 ng/mL。尿常规示蛋白（±~+）、红细胞 1–4/HPF，尿沉渣未见畸形红细胞或明确管型；随机 UPCR 0.85 g/g，UACR 412 mg/g 降至 278 mg/g，24 小时尿蛋白约 0.9 g（留取质量不确定）。免疫学检查仅提示类风湿因子及抗 CCP 抗体阳性，其余免疫谱、补体、免疫固定电泳未完善。肾脏超声示双肾体积略小、皮质回声轻至中度增强，未见梗阻。患者目前携带药物包括氨氯地平、间断使用利尿剂、每周一次免疫调节药物、糖皮质激素 7.5 mg/d、基础胰岛素、至少一种促胰岛素分泌类口服降糖药、钙剂及活性维生素 D，未规律使用 ACEI/ARB，未使用 SGLT2 抑制剂或 GLP-1 受体激动剂，不能完全排除 NSAIDs 暴露。
KDIGO 于 2024 年发布了《Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease》，该指南更新了 CKD 风险分层、评估和管理策略，强调基于 eGFR 与白蛋白尿分级进行风险评估，并推荐在多数慢性肾脏病患者中使用证据支持的药物干预以延缓肾功能进展与降低心血管风险，其中包括将 SGLT2 抑制剂作为有肾脏获益证据的药物类别之一，同时提出 RAAS 抑制作为蛋白尿患者血压与肾脏保护的重要策略，并强调肾毒性药物管理及急性肾损伤预防的实践性建议。American Diabetes Association 发布的《Standards of Care in Diabetes — 2025》包含针对慢性肾脏病及心肾风险管理的推荐内容，其中指出在 2 型糖尿病患者合并 CKD 时应考虑使用具有心肾保护证据的药物（如 SGLT2 抑制剂）以降低 CKD 进展与心血管事件风险，同时强调围手术期血糖管理应以避免低血糖和血糖波动为核心目标。
目前患者合并多重风险因素（高血压、血糖控制不佳、蛋白尿、炎症状态、昼夜血压异常及可能的肾功能波动），术前需明确肾功能异常性质、围手术期风险评估，并制定多学科决策方案。
作答要求：
1.结合现有资料，在以下三种判断中选择最符合当前阶段的诊断框架并说明理由：
（1）慢性肾脏病进展为主
（2）慢性肾脏病基础上的急性肾损伤（AKI on CKD）
（3）肾功能异常性质尚未明确，需暂缓任何可能改变肾血流动力学的干预
2.在肾功能长期进展风险、围手术期急性肾损伤风险及炎症/代谢控制不足对手术结局影响三者中，判定当前 6–8 周时间窗内的首要风险约束条件，并说明依据。
3.针对 ACEI/ARB 及 SGLT2 抑制剂，分别明确是否应在术前启动、推迟至术后启动或当前阶段不应启动，并说明主要风险考量。
4.指出当前阶段治疗中应优先“做减法”的方向，并说明被刻意延后的治疗目标及其合理性。
5.提出围手术期肾脏管理的最低安全底线，并说明在何种情况下应建议延期手术。
6.结合现行指南与专家共识，说明本例中未完全遵循部分推荐的原因。
7.模拟一次简要的患者及家属沟通，解释当前决策取舍的核心逻辑。
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"肾内科"
]
} | [
{
"rubric_detail": "模型应在全文中始终坚持“慢性肾脏病基础上的急性肾损伤（AKI on CKD）”作为唯一诊断框架进行论证，诊断锚点前后一致，所有风险判断与干预取舍均围绕该框架展开，论据与结论逻辑自洽，未混杂其他诊断框架的核心判断或并行叙事。",
"rubric_number": 1,
"rubric_tag": "指令遵循",
"rubric_weight": 8
},
{
"rubric_detail": "需明确指出，仅凭 Scr 多时间点稳定不足以支持“单纯 CKD 自然进展”。",
"rubric_number": 2,
"rubr... | |
e71191ec-40f7-4156-b68d-b70754672fc4 | 10,144 | cn | 患者李某，男，37岁， 1 h前因车祸致伤头部，具体受伤经过不详，患者伤后意识不清，频繁呕吐，由家属陪同120送至我院急诊。
家属诉既往胃溃疡病史，长期口服奥美拉唑治疗。否认高血压、糖尿病、心脏病病史。否认输血史，否认食物药物过敏史，否认肝炎结核等传染病史；按时预防接种。
体格检查：体温36.5℃，心率71次/分，呼吸频率15次/分，血压112/61 mmHg，指脉氧：99%。发育正常，营养良好，昏迷，呼之不应，急性面容，平车推入病房。全身及局部淋巴结无肿大，颈部强直，颈动脉搏动正常，气管居中。呼吸音正常，双肺未闻及干湿性啰音。心率73次/分，心律齐，未闻及心脏杂音。腹部外形正常，腹壁柔软，腹部无压痛，腹部无反跳痛。四肢外观正常。
专科检查：昏迷，GCS评分6（E1V1M4）分，双瞳不等大，右2.5 mm，左3.0 mm，对光反应欠灵敏，颈稍抵抗，四肢肌力检查不合作，指甲床压迫可回撤，肌张力不高，双侧生理反射存在，病理征未引出。
急诊CT示：右侧额颞枕部及左侧额颞部硬膜下血肿，右侧颞部局部硬膜外血肿；蛛网膜下腔出血，左侧额叶及双侧顶叶脑挫伤，脑组织肿胀；右侧颞骨骨折，右侧乳突骨折，右侧颞部皮下血肿，副鼻窦腔内出血可能。患者神志昏迷，二便失禁，频繁呕吐。
遵循《成人及儿童创伤性脑损伤急性期神经外科治疗：法国神经外科学会2025年指南》（Neurosurgical management of the acute phase of adult and pediatric traumatic brain injury: 2025 guidelines of the French Society of Neurosurgery）给出：1.诊断、诊断依据以及进一步检查；2.鉴别诊断；3.治疗原则及治疗措施。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"神经外科"
]
} | [
{
"rubric_detail": "诊断明确列出关键诊断:重型颅脑损伤",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "诊断内容完整涵盖急性硬膜下血肿（ASDH）、硬膜外血肿（EDH）及创伤性蛛网膜下腔出血（tSAH）",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{
"rubric_detail": "诊断中需要包含：胃溃疡... | |
b6502878-bfac-4be7-9851-d7364dd2ed3c | 10,185 | cn | 现病史与体格检查：患者，男，58岁，因“咯血伴呼吸困难2天，尿量减少12小时”由急诊科收住入ICU。患者2周前曾有“感冒”病史，随后出现乏力、肌肉酸痛及间断发热。体检：体温 38.2℃，脉搏 112次/分，呼吸 28次/分，血压 145/95mmHg。神志清，消瘦貌，双肺底可闻及湿啰音。双下肢轻度凹陷性水肿。急诊胸部CT示：双肺弥漫性磨玻璃影及斑片状浸润影，以中下肺野为主。辅助检查：血常规：WBC 12.8×109/L，Hb 85g/L。尿常规：尿蛋白(++)，红细胞满视野/HP，可见红细胞管型。生化：血肌酐（SCr）由3天前的 110μmol/L 急剧升至 420μmol/L。免疫学指标：p-ANCA（MPO抗体）强阳性，c-ANCA阴性，抗GBM抗体阴性，补体C3、C4正常。患者入科后呼吸困难加重，SpO2 下降至 88%（鼻导管吸氧 5L/min），复查胸片示肺部浸润影迅速扩大。请根据《KDIGO 2024 Clinical Practice Guideline for the Management of Antineutrophil Cytoplasmic Antibody (ANCA)–Associated Vasculitis》指南，回答以下问题：
1.该患者计划采用利妥昔单抗（RTX）联合糖皮质激素进行诱导缓解。请根据指南，给出该患者在前两周内具体的糖皮质激素减量建议，并说明除了免疫抑制剂，还应添加哪种预防用药？
2.该患者是否具备进行血浆置换（PLEX）的指征？请说明依据。
3.假设该患者在接受标准诱导方案治疗4周后，复查 p-ANCA 滴度仍维持在较高水平，但临床症状（咯血消失、尿量增加、SCr 下降）明显好转。此时 ANCA 滴度的持续阳性是否应作为加强免疫抑制强度的依据？针对此类“血清学不一致性”现象，临床决策逻辑是什么？说明理由。
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"肾内科"
]
} | [
{
"rubric_detail": "回复中应包含甲泼尼龙静脉冲击治疗（如500-1000mg/d），并给出后续口服糖皮质激素的具体减量计划（如提及PEXIVAS减量方案或具体的起始剂量）",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 7
},
{
"rubric_detail": "明确指出第2周需要快速减量，并提及第15天（或2周结束时）剂量应减至 30 mg/d",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_wei... | |
c91c56f9-e432-484a-aaeb-867c7143d4bd | 2,860 | cn | CAR-T细胞疗法中，CAR-T细胞的体外制备一直是一个难题。目前的主流制备方法是使用慢病毒感染法，即通过工程化慢病毒感染目标T细胞，将其在体外改造为表达CAR结构的CAR-T细胞。某学生在通过慢病毒感染T细胞的实验中，在通过CD3/CD28磁珠和IL-2细胞因子激活T细胞后，使用1×10e8 TU/ml滴度的慢病毒，以MOI为10的条件下感染T细胞，发现T细胞的感染效率极低，CAR表达阳性的T细胞比例低于10%。请帮助该学生提升T细胞感染效率，从T细胞状态、感染条件和慢病毒质量这三个方面进行论述。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"制药与生物技术",
"基因与细胞治疗 (CGT)"
]
} | [
{
"rubric_detail": "明确给出病毒滴度的定义，详细说明病毒滴度至少分为感染滴度和物理滴度两种，",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 10
},
{
"rubric_detail": "必须说明通过T细胞与慢病毒共孵育开始时，使用800~1200xg的条件，32摄氏度离心30~90min可以显著提高慢病毒的感染效率",
"rubric_number": 2,
"rubric_tag": "观点分析",
"rubric_weight": 8
},
... | |
908f40e1-2d85-4e57-9320-cfc6fc450037 | 3,596 | cn | 病例：
患者，女，72 岁。主诉：“腹痛、发热伴呕吐 5 天，加重 1 天”。5 天前出现右下腹持续性疼痛，伴恶心、呕吐、食欲差，2 天前出现发热（最高 38.9℃），自行口服抗生素无效。近 24 小时腹痛明显加重，出现腹胀、肛门停止排气排便。既往史：2 型糖尿病 20 年，胰岛素治疗，HbA1c 8.9%。类风湿关节炎 18 年，长期口服甲氨蝶呤 12.5 mg/周 + 泼尼松 7.5 mg/d。冠心病，3 年前置入支架，长期服用阿司匹林。慢性肾功能不全（CKD 3a 期）。查体：
T 38.5℃，HR 112 次/分，BP 96/58 mmHg。腹部膨隆，右下腹压痛明显，反跳痛（+），肌紧张（+），肠鸣音减弱。
实验室检查：WBC 18.6 ×10⁹/L（N 89%），CRP 186 mg/L，PCT 8.2 ng/mL，Hb 102 g/L，ALB 28 g/L，Cr 136 μmol/L，乳酸 3.8 mmol/L。影像学检查（增强 CT）回盲部肠壁明显增厚，局部肠壁分层消失，阑尾显示不清，右下腹见 6.5 ×5.0 cm 含气液平面包裹性积液，周围肠系膜脂肪条索模糊，少量游离气体，未见明确肿瘤占位。
请回答以下问题：
1.请结合增强 CT 结果，概括本例回盲部病变的主要影像学特征，并说明其对病情严重程度判断的意义。
2.患者有长期类风湿关节炎并使用免疫抑制药物，这一背景对其临床表现解读和治疗决策有何影响？
3.在当前病情基础上，是否存在继续强化抗生素、暂缓手术处理的空间？请说明理由；如需干预，应优先采取何种方式？
4.若行急诊手术探查，回盲部区域可能遇到哪些病理情况？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"胃肠外科"
]
} | [
{
"rubric_detail": "明确否定暂缓手术的空间，指出抗生素无法修补穿孔或逆转坏死，且脓肿难以渗透",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 7
},
{
"rubric_detail": "指出增强CT中回盲部肠壁分层结构消失提示肠壁血供受损，存在缺血或坏死的高度可能",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 6
},
{
"rubric_detail": "指出游... | |
578de37e-4cff-4436-8c44-d2cdc176d598 | 4,623 | cn | ChIP‑qPCR 富集信号弱、重复性差
在做转录因子 ChIP‑qPCR 时：
阳性靶点位点在第一次实验中富集约 5–8 fold（相对 IgG 对照），第二次仅 1.5–2 fold；
阴性对照位点富集始终接近 1；
Input DNA 质量和浓度在两次实验中相近，qPCR 标准曲线表现良好。
问题：请提出 4–5 个最可能与“免疫沉淀步骤”本身相关的原因，并针对每一条设计验证与优化方案（如：交联条件、裂解/剪切、抗体质量与用量、洗涤强度、珠子饱和性等），要求明确：如何通过对照设置和 readout 指标判断某一环节是主要问题来源。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"基础医学",
"病理生理学"
]
} | [
{
"rubric_detail": "模型提出了 4-5 个与免疫沉淀步骤相关的具体原因（交联条件不当、染色质片段化程度、抗体效价/批次差异、洗涤缓冲液严谨度、磁珠结合载量、非特异性结合等）。",
"rubric_number": 1,
"rubric_tag": "指令遵循",
"rubric_weight": 7
},
{
"rubric_detail": "模型针对每一个提出的原因，都包含了具体的验证方案（如通过设置不同条件的对照组进行验证）和优化策略（如调整实验参数、更换试剂等）。例如，针对抗体问题，验证方案可包括抗体滴定，优化方案可包括更换为ChIP级别认证的抗体。... | |
7b7fe40e-e5d7-4cc0-887b-3c1d216bee06 | 4,803 | cn | 患者男性，52岁，因“右上腹隐痛2月，加重1周”入院。既往有乙肝病史20余年，未规范抗病毒治疗。有长期饮酒史。入院查体：慢性肝病面容，皮肤巩膜轻度黄染，腹部膨隆，移动性浊音阳性。辅助检查：肝功能Child-Pugh B级（8分），CT示：肝右叶巨块型肝癌（最大径10cm），门静脉右支癌栓形成，左肝外叶见2个卫星灶（直径约1.5cm、2.0cm），少量腹水。甲胎蛋白（AFP）>1200 ng/mL。ECOG评分1分。请结合该病例，回答以下问题：1.该患者目前最主要的治疗矛盾是什么，阐述治疗决策的核心思路与优先顺序。2.请为患者设计一个初步的、具有逻辑顺序的综合治疗方案，并详细说明每一步选择的具体理由和预期目标。3.假设患者在初步治疗后，肝功能降至Child-Pugh C级，但原发灶及癌栓未见明显缩小，AFP持续升高。此时治疗策略应如何调整？调整的核心依据是什么？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"肝胆胰外科"
]
} | [
{
"rubric_detail": "准确识别核心矛盾：明确指出“高肿瘤负荷（巨块原发灶+门静脉癌栓+卫星灶）与有限且不稳定的肝功能储备（Child-Pugh B级伴腹水）之间的尖锐冲突”是限制所有治疗决策的根本矛盾。",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "确立正确的治疗优先级：清晰阐述“保肝支持（控制腹水、改善一般情况）→病因治疗（立即启动强效抗病毒）→抗肿瘤治疗”的不可动摇的先后顺序。",
"rubric_number": 2,
... | |
cd123b23-75a5-4619-8b9e-c77c7f5d9672 | 5,217 | cn | Western Blot 目标条带缺失但出现强烈非特异条带
在检测某膜受体蛋白（预期分子量约 140 kDa）时：
使用商业单克隆抗体 A，在 3 个不同细胞系中：
细胞系 1（高表达阳性对照）：在 ~140 kDa 处有清晰条带，并有一个 ~70 kDa 的额外强条带；
细胞系 2（中等表达）：140 kDa 条带较弱，但 70 kDa 条带非常强；
细胞系 3（CRISPR 敲除该基因的克隆）：140 kDa 条带完全消失，但 70 kDa 条带仍然强烈存在；
更换另一家公司的多克隆抗体 B，同样条件下：
140 kDa 条带在细胞系 1、2 中均可见，在 KO 细胞中消失；
70 kDa 条带明显减弱或消失。
问题：请列出 3–4 个导致“单克隆抗体 A 识别到明显非特异条带，而真正目标条带在部分细胞中减弱甚至掩盖”的可能原因，并分别设计验证/排除方案：你会增加哪些对照（如 KO 细胞、过表达 Flag‑tag 质粒、蛋白酶抑制剂对照等），如何利用不同表位抗体、IP‑MS、去糖基化/还原条件调整来确认 140 kDa 条带是真正目标，70 kDa 条带的来源是什么。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"基础医学",
"病理生理学"
]
} | [
{
"rubric_detail": "回答指出可能原因之一是单克隆抗体A存在非特异性交叉反应（Off-target），识别了无关的70 kDa蛋白",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 7
},
{
"rubric_detail": "回答基于KO细胞中140 kDa消失但70 kDa保留的现象，逻辑推导得出70 kDa条带极有可能源自非目标基因产物",
"rubric_number": 2,
"rubric_tag": "观点分析",
"rubric_weight":... | |
c6b234bb-2142-4b26-993d-a0c2984a3943 | 5,259 | cn | 病例信息：
患者，男，65岁，主诉“吞咽困难伴胸痛3个月，近1个月进食哽咽感明显，不能进固体食物”入院。患者有吸烟史40年（每日20支），饮酒史30年，既往有慢性支气管炎病史，否认高血压、糖尿病及心脏病史。3个月前无明显诱因出现吞咽困难，初为固体食物，后逐渐发展至半流质，伴进食后胸骨后疼痛，体重下降8kg。入院查体：消瘦，浅表淋巴结未触及肿大，双肺呼吸音粗，未闻及干湿啰音，心腹查体无异常。辅助检查：血常规正常，肿瘤标志物CEA 8.2ng/ml、CYFRA21-1 12.5ng/ml升高；上消化道造影示食管中下段长约8cm不规则狭窄，黏膜破坏中断；胸部增强CT示食管中下段管壁不规则增厚（最大厚度18mm），管腔明显狭窄，纵隔多发淋巴结肿大（最大短径1.5cm），未见明确肺内转移灶；PET-CT示食管中下段高代谢病灶（SUVmax 14.5），伴纵隔及腹腔淋巴结高代谢；胃镜活检病理示中下段食管鳞状细胞癌（中分化）；肺功能检查中度通气功能障碍（FEV1 1.8L，占预计值62%）；心脏彩超EF 55%，无明显瓣膜病变。
入院后多学科会诊（MDT）讨论临床分期为cT3N2M0（III期），患者一般情况尚可（ECOG 1分），但合并中度COPD，手术风险较高。最终决定先行新辅助放化疗（卡铂+紫杉醇同步放疗45Gy），治疗后复查CT示肿瘤明显缩小（厚度减至8mm），淋巴结缩小，再次MDT评估后行右胸入路食管癌根治术（Ivor-Lewis术式），术中清扫纵隔及腹腔淋巴结共32枚，病理示ypT2N1M0（残余肿瘤约10%，TRG 2级）。
请回答以下问题：
1.患者合并中度COPD，在新辅助放化疗前是否适合直接手术？若肺功能进一步下降至FEV1<50%预计值，应如何调整治疗策略？
2.对于该患者，为何选择“卡铂+紫杉醇同步放疗45Gy”作为新辅助方案？请从病理类型、疗效证据、以及该患者特定的合并症三个维度，分析该方案选择的合理性，并重点说明在制定放疗计划时的注意事项。
3.患者在新辅助治疗后复查CT示肿瘤明显缩小，再次MDT评估后决定行根治性手术。请分别阐述支持手术的的依据和反对手术的理由。
4.患者行Ivor-Lewis术后第5天，突然出现高热（39.5℃）、呼吸急促、心率增快，左侧胸痛。床旁胸片示左侧胸腔积液较前增多，并可见液气平，皮下气肿明显。首先考虑的诊断是什么？请列出需要立即鉴别的至少两个最危重的并发症，并说明为明确诊断和指导治疗，在接下来短时间内必须完成的、最具决定性的检查或操作是什么？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"心血管外科/胸外科"
]
} | [
{
"rubric_detail": "回答指出患者因合并中度COPD且处于III期，直接手术风险高且非最优策略，应先行新辅助治疗",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 7
},
{
"rubric_detail": "明确指出当肺功能下降至FEV1<50%时，治疗策略转变为根治性放化疗",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 7
},
{
"rubric_detail": ... | |
4bb63011-2170-4483-b171-2c74d2bf6102 | 5,555 | cn | 病例信息：
患者，女性，45岁，主诉“发现颈前肿块2个月，伴声音嘶哑1个月”。2个月前无意中触及颈前无痛性肿块，逐渐增大，近1个月出现声音嘶哑，无吞咽困难、呼吸困难，无怕热多汗、心悸等症状。既往体健，无放射线暴露史，家族中无甲状腺癌病史。查体：颈前右侧可触及一约4cm×3cm肿块，质硬、表面不光滑、边界不清，随吞咽活动差，左侧甲状腺未触及异常；无颈部淋巴结肿大。间接喉镜检查：右侧声带固定于正中位。甲状腺功能正常，Tg 85 ng/ml（正常<55），TgAb、TPOAb阴性。颈部超声：右侧甲状腺叶内4.2cm低回声结节，形态不规则、边界不清、纵横比>1，内见粗大钙化及丰富血流信号，TI-RADS 5类；左侧甲状腺正常；未见明显肿大淋巴结。细针穿刺细胞学（FNA）：Bethesda VI类（乳头状甲状腺癌）。胸部CT未见肺转移。术前纤维喉镜确认右侧声带麻痹。
请回答以下问题：
1.针对该患者，请制定具体的手术方案，并详细阐述每一步决策的病理生理学及肿瘤学依据。
2.术中探查发现右侧喉返神经被肿瘤完全包裹，无法肉眼分离。鉴于患者术前已存在右侧声带麻痹，此时最优的神经处理方案是什么？
3.患者接受了手术治疗。术后第3天，血清甲状腺球蛋白（Tg）检测值为5 ng/ml（未服用左甲状腺素片）。请分析这一结果的可能临床意义，并规划下一步诊疗步骤。
4.该患者术前FNA诊断为乳头状癌，但若术后石蜡病理报告提示为“伴有胸腺样分化的癌（CASTLE）”，请问诊断思路应如何调整？后续治疗策略会有何根本性改变？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"甲乳外科"
]
} | [
{
"rubric_detail": "明确将本例患者肿瘤分期判定为T4a期",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 10
},
{
"rubric_detail": "阐述了进行全甲状腺切除的理由之一是为术后放射性碘（RAI）治疗做准备及便于Tg监测",
"rubric_number": 2,
"rubric_tag": "观点分析",
"rubric_weight": 7
},
{
"rubric_detail": "模型错误地建议使用‘剃刀技术’保留神... | |
06be9028-f633-4737-98f3-b523421b1276 | 5,766 | cn | 在进行人类肝细胞癌样本石蜡切片的免疫组织化学染谷氨酰胺合成酶（GS）时，我发现仅有部分切片上染出了正常的GS阳性信号，而GS作为HCC的标志性marker之一，一般而言在HCC中广泛表达。已知所有样本的IHC染色均是同一批次、同一组内完成的，请你帮忙分析其中可能的原因。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"基础医学",
"病理学"
]
} | [
{
"rubric_detail": "指出肿瘤异质性是导致部分切片未染出GS阳性信号的生物学原因，（包括分化程度差异和分子分型差异）",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 5
},
{
"rubric_detail": "提及GS在肝细胞癌中通常呈弥漫性表达，但并非所有病例均有表达，低分化亚型和非β-catenin激活型的肝细胞癌可能存在GS表达减弱或缺失的情况",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_we... | |
81e7a86e-6dfc-4a5b-8fdc-281924e24a45 | 6,111 | cn | 70岁女性，近2月阴道出现异常分泌物，伴异味，无阴道出血，伴下腹不适。患者就诊于当地某医院，行B超提示：宫腔线分离5mm。患者于当地医院住院，入院当天出现咳嗽，行胸部CT示：双下肺肺炎。遂给予莫西沙星静滴3天后，于静脉麻醉下行宫腔镜检查，镜下见：宫腔积脓，冲洗宫腔后行诊刮术。术后1小时患者出现寒战，体温升高至38.6℃，血氧饱和度90%，心率100次/分。请考虑患者发热的原因及需要完善的相关检验检查。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"妇产科学"
]
} | [
{
"rubric_detail": "首要诊断识别出患者可能出现脓毒症（Sepsis）或菌血症，甚至处于感染性休克早期",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 5
},
{
"rubric_detail": "指出根据《宫腔积脓诊治中国专家共识2023年版》，宫腔积脓时子宫内膜呈急性炎症改变，诊断性刮宫可能引发菌血症或败血症等全身感染，加重病情，不推荐常规进行。",
"rubric_number": 2,
"rubric_tag": "观点分析",
"rubric_wei... | |
b9616065-9034-471b-8410-d53f231f1b5a | 6,178 | cn | 54岁女性患者，既往有类风湿关节炎病史8年，长期服用甲氨蝶呤15mg/周+羟氯喹200mg bid治疗，1周前出现发热症状，体温高达38.8、有干咳，伴进行性呼吸困难，入院完善胸部CT示双肺磨玻璃影。血常规：白细胞4.2×10⁹/L，淋巴细胞0.8×10⁹/L，CRP 65mg/L；新冠核酸阴性，痰培养结果显示无致病菌生长，自身抗体谱（抗核抗体、抗ENA）较半年前无明显变化。
问题：请明确该患者肺部病变最可能的病因，说明鉴别诊断要点，给出针对性治疗方案及停药/换药的具体依据，同时列出治疗期间需监测的关键指标及预警阈值。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"风湿免疫科"
]
} | [
{
"rubric_detail": "回答中明确指出：该患者最可能的诊断为长期服用免疫抑制剂后导致的肺孢子菌肺炎（PJP/PCP）",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 9
},
{
"rubric_detail": "回答中指出：诊断依据中提及该患者实验室检查淋巴细胞减少是发生PJP的独立危险因素",
"rubric_number": 2,
"rubric_tag": "观点分析",
"rubric_weight": 7
},
{
"rubric_de... | |
8ab658c4-f8c5-4533-9025-1dbcc2dad0ae | 6,342 | cn | 在进行临床试验设计时，我们通常需要精心设计采血点。对于司普奇拜单抗这个药物，说明书适应症是特异性皮炎，考虑到司普奇拜单抗是白介素4α受体抑制剂，以及此受体近年来在肿瘤领域被深入研究。我们计划联合司普奇拜和PD1/PDL1抑制剂来进行针对淋巴瘤患者的二期单臂临床试验。请你设计针PK与PD的稀疏采样采血点。最好以表格形式进行呈现。（司普奇拜SC，频率Q3W;PD1/PDL1抑制剂为IV，频率Q3W） | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"制药与生物技术",
"生物药 (大分子)"
]
} | [
{
"rubric_detail": "纳武利尤单抗（ICI）的采样点包含输注结束后15分钟内的输液结束点",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "依据司普奇拜说明书，C1 Day4被设定为最早达峰时间点",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{
"rubric_detail": "第一周期的采样点包含了Day4、... | |
1135b8c9-60eb-4cd1-abfa-3d11bd522bb8 | 6,817 | cn | 你是一名主治医师。你需要为一名复杂的骨质疏松症合并肾功能不全的患者指定一个诊疗方案。
患者核心诉求：患者既往长期腰背部疼痛，由于合并肾功能不全，希望控制疾病发展同时避免肾功能受损。
病人关键信息：女性，69岁，主诉“腰背部疼痛5个月，加重伴乏力2周”
现病史：腰背部疼痛5个月，加重伴乏力2周。无发热。患者自发病以来体重、食欲、睡眠无明显变化。
既往史：高血压病史15年，慢性肾功能不全4年。
个人史：否认烟酒史。否认外伤史、手术史。否认药物过敏史。
体格检查：脊柱胸腰段存在压痛，双下肢轻度水肿，四肢肌力正常，未触及明显包块。
辅助检查：肌酐280umol/L，肾小球滤过率eGFR≈25mL/min/1.73m2。甲状旁腺激素（PTH）=396pg/mL。血磷=2.1mmol/L，血钙=1.98mmol/L。
影像学检查：骨密度T值=-2.6，X线可见锥体边缘出现硬化表现。
指导原则：你的诊疗方案必须遵循原发性骨质疏松症诊疗指南（2022年）和中国慢性肾脏病矿物质和骨异常诊治指南概要（2019年）的诊疗原则。
你需要回答：
1.基于原发性骨质疏松症诊疗指南（2022年）和中国慢性肾脏病矿物质和骨异常诊治指南概要（2019年）诊疗原则，你将如何用药及处理，以缓解症状、延缓病情发展？
2.提供具体方案细节：
治疗骨质疏松：如何用药可以控制骨质疏松，同事避免肾功能受损？
控制肾功能不全：怎样治疗肾功不全的同时控制并发症的进展？
预防并发症：如何避免其他并发症的发生？
生活方式干预：有哪些生活方式干预可以控制病情发展？
3.风险管理与监测：
开始治疗的前三个月你需要制定一个详细的监测计划（血生化指标与肾功能等）。
如果患者出现其他的并发症，你的应对预案是什么？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"骨科"
]
} | [
{
"rubric_detail": "应该确定治疗的先后顺序：优先控制肾功能不全合并矿物质与骨异常（CKD-MBD），在CKD-MBD相关指标（如钙、磷、PTH）得到控制后再治疗骨质疏松",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 10
},
{
"rubric_detail": "补钙方案指出需在血磷控制在1.8mmol/L以下后，再开展补钙治疗，服用碳酸钙600mg bid",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubr... | |
1d156a89-d475-4c7a-8f19-ffc4a8514323 | 6,944 | cn | 一个遗传学研究团队收集了一个呈现 “早发性多系统神经发育障碍伴特殊面容” 的散发病例（先证者）。患者父母表型正常，无家族史。初步的染色体微阵列分析（CMA）和常见综合征的靶向基因检测均为阴性。团队决定对先证者及其父母（核心家系）进行家系全外显子组测序（Trio-WES），以期发现致病基因。现Trio-WES已完成，平均测序深度>100X，覆盖度>98%。初步生物信息学流程（比对、变异检出、注释）已得到包含约5-7万个变异位点的初始数据集。请设计一个逐步 “过滤” 变异以缩小候选基因范围的具体流程。并说明每一步的筛选标准和生物学/遗传学依据。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"基础医学",
"分子生物学"
]
} | [
{
"rubric_detail": "鉴于先证者散发且父母表型正常的背景，回答需将新发显性（De novo Dominant）列为最高优先级的遗传模式",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 10
},
{
"rubric_detail": "分析中需包含对X连锁隐性遗传模式的考量，指出若先证者为男性，致病变异可能源自母亲携带",
"rubric_number": 2,
"rubric_tag": "观点分析",
"rubric_weight": 10
},
{
... | |
de587f91-b1b2-4ec5-aa58-e48b2c9e5fb9 | 7,240 | cn | 一名55岁男性糖尿病患者，患病10年，血糖控制较差，HbA1c为8.5%。患者未出现明显视力下降，但在定期眼底检查中，发现双眼有微血管改变，左眼视网膜呈现多处微血管瘤和轻度出血斑，右眼则有少量渗出和微血管瘤。患者近期出现夜间视物模糊和低光环境下视力不清。请分析该患者的病情并根据眼底检查结果提供相应的治疗建议。你认为该患者属于哪一临床分期？该如何处理？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"眼科"
]
} | [
{
"rubric_detail": "右眼的临床分期被明确判定为中度非增殖性糖尿病视网膜病变（NPDR）",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{
"rubric_detail": "左眼的临床分期被明确判定为中度非增殖性糖尿病视网膜病变（NPDR）",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{
"rubric_detail": "分期依据中指出了虽然存在... | |
673490a8-a490-4809-8a7c-f2950685c331 | 7,459 | cn | 不同区域（如肿瘤中心、边缘、浸润前沿）的细胞组成、空间排布及其与癌细胞的相互作用，是导致治疗效果不佳和复发的关键因素。空间组学技术（如空间转录组学或空间基因组学）为研究这些问题提供了强有力的工具。
请选择一种你熟悉的空间组学技术（如空间转录组学的 Visium 技术），并结合 HCC 研究的具体场景，回答以下问题，不超过800字：
实验设计与数据分析：为了研究 HCC 的空间异质性，你会如何设计一个具体的实验方案？在数据分析层面，你需要重点关注哪些生物信息学工具或方法来解决空间坐标与基因表达数据的整合问题？
科学问题与应用价值：利用该技术，你期望能回答 HCC 研究中的哪些关键科学问题？该技术在指导 HCC 的精准治疗或预后评估方面有何潜在的应用价值？
挑战与展望：你认为该空间组学技术在研究 HCC 微环境时还面临哪些主要挑战？未来可以从哪些方向进行技术改进或方法创新？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"基础医学",
"医学遗传学"
]
} | [
{
"rubric_detail": "明确选择了一种具体的空间组学技术（如Visium）作为回答的基础技术手段",
"rubric_number": 1,
"rubric_tag": "指令遵循",
"rubric_weight": 5
},
{
"rubric_detail": "样本处理步骤具体描述了制备冰冻切片（如10μm）及在芯片上进行固定、透化和mRNA捕获的过程",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detai... | |
44847f8f-e10a-493b-a867-e505808f510f | 7,947 | cn | 病例信息：
患者，女，38岁。因“反复多发性骨痛伴肌无力2年余，加重伴体重减轻6个月”就诊。2年来患者无明显诱因出现全身多处骨痛，以腰背部、四肢为主，呈进行性加重，伴肌肉无力、行走困难，近6个月体重减轻约10kg。既往有反复肾结石病史3年，曾多次发作右侧肾绞痛，经体外碎石及对症治疗后缓解。否认颈部放射史及类似疾病家族史。
体格检查：身高较既往缩短约3cm，脊柱后凸畸形，四肢近端肌力Ⅳ级，腰椎、髋关节及双侧膝关节叩痛阳性，无明显红肿。实验室检查：血钙3.25mmol/L（参考值2.10～2.60mmol/L），血磷0.65mmol/L（参考值0.80～1.45mmol/L），碱性磷酸酶820U/L（参考值40～150U/L），血肌酐、尿素氮正常，24h尿钙680mg（参考值100～300mg）。甲状旁腺激素（PTH）测定显著升高（具体数值待报）。双能X线骨密度测定：腰椎（L1～L4）T值-3.8，提示重度骨质疏松。颈部超声：右下甲状腺后方可见一2.5cm×1.8cm×1.5cm低回声肿块，边界清晰；Tc-99m-MIBI甲状旁腺显像：右下区放射性浓聚灶，延迟相仍显影增浓。全身骨扫描：多发性骨代谢活跃区，右股骨颈可见囊性透光区伴病理性骨折征象。
请回答以下问题：
1.在拟定手术方案前，除了考虑常见的甲状旁腺腺瘤，你认为必须排除哪种疾病？请结合临床证据，列举支持与反对该恶性诊断的理由，并说明如果术中发现肿块与周围组织粘连，你的手术策略将如何转变？
2.该患者在成功切除甲状旁腺病灶后的 24-72 小时内，最可能出现的致死性电解质紊乱是什么？请详细解释其病理生理机制，并给出针对该患者的预防性补钙补镁的具体临床建议。
3.患者主诉“肌无力、行走困难”，体检发现四肢近端肌力Ⅳ级。除了已知的电解质紊乱导致神经肌肉兴奋性改变外，请分析 PHPT 导致的慢性高钙血症对患者消化系统和神经精神系统可能造成的隐匿性损伤，并说明这些损伤是否会在手术切除腺瘤后立即得到缓解。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"甲乳外科"
]
} | [
{
"rubric_detail": "明确指出在拟定手术方案前必须排除的疾病是甲状旁腺癌（PC）",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "列举不支持恶性诊断的证据时，指出长期重度PHPT本身可引起代谢亢进、厌食导致消瘦",
"rubric_number": 2,
"rubric_tag": "观点分析",
"rubric_weight": 10
},
{
"rubric_detail": "针对术中发现粘... | |
653c82d5-3dfa-44f7-b570-ca9ae59aa715 | 8,083 | cn | 患者小李今年50岁，自诉近一年来自觉牙齿隐痛不适、松动，牙龈肿大伴有出血症状，近三日来发热，右侧后牙区疼痛，夜间加重无法入眠，自行服用“甲硝唑”未见缓解，现张口不适，右侧面部有肿胀感。询问既往史，小李有“高血压”十余年，自行服用降压药，血压稳定，否认其他全身系统性疾病。口内检查：口腔卫生不良，下前牙区牙龈充血水肿、增生，牙石Ⅱ°-Ⅲ°，12、11、21、22、31、32、41、42 松动度Ⅱ°，余牙松动度轻微到Ⅰ°；36 伸长，远中邻面颈部及深龋入髓，无探痛，叩痛（+），松动度Ⅰ°，颊侧牙龈探及瘘管溢脓；47 伸长，远中牙体有缺损，探痛（++），叩痛（+），松动度Ⅱ°；48 水平阻生，远中龈瓣覆盖，龈瓣边缘充血水肿，46-48 颊侧前庭沟变浅，未及明显波动感。 口外检查：右下颌角区略肿，皮温稍高，未见发红，轻度压痛，无波动感，张口度约两指半。请问该患者的主诉诊断可能是什么？如需确诊，还需要哪些补充检查？以及根据口内外检查，患者还有哪些其他问题？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"口腔医学"
]
} | [
{
"rubric_detail": "主诉诊断明确指出了48冠周炎",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "主诉诊断中包含了咬肌间隙感染的可能性",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 7
},
{
"rubric_detail": "确诊检查建议中包含了血常规化验",
"rubric_number": 3,
... | |
b625b3c1-a92d-4234-911a-dfab5072dd51 | 8,156 | cn | 你是一名正畸医生，接诊了一位14岁的男性患者。主诉前牙前突，近五年来逐渐加重。
家族史：其父母面型基本正常，祖母存在类似凸面型特征。家属虽承认家族中存在相应面型，但因父母面型正常，故认为该问题应该非遗传因素所致。并提及患者乳牙列期间面型正常，替牙期间前突逐渐显现。
家属表示曾通过网络渠道了解到部分类似病例未行拔牙矫治亦取得良好效果，因此明确要求进行不拔牙矫正方案，并对最终美学效果抱有较高期望。
口外检查显示患者上颌前凸、下颌后缩、颏部肌肉紧张；面下1/3长；正面基本对称，可见黑眼圈。患者已经变声，有胡茬。口内检查可见：上牙列及下牙列拥挤度均为2mm。上下前牙唇倾，前牙深覆盖III度，覆合正常。双侧磨牙远中关系。头影测量显示：SNA=84度，SNB=76度，SN-MP=42度，U1-PP=114度，L1-MP=100度，y轴角=75度。
请你提供治疗建议，就病因及预后对家长作出解释。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"口腔医学"
]
} | [
{
"rubric_detail": "根据sna和snb得出骨性II类诊断",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 6
},
{
"rubric_detail": "依据SN-MP=42度，得出高角或垂直生长型",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 6
},
{
"rubric_detail": "建议前往耳鼻喉科排查鼻炎、腺样体或扁桃体肥大等呼吸道问题",
"ru... | |
86b11c02-b600-44ff-9806-176a723cdddf | 8,473 | cn | 患者于20年前体检时确诊为慢性乙型病毒性肝炎，未予规范治疗。1年前余无明显诱因出现上腹部疼痛，就诊于当地医院，怀疑“原发性肝癌”，遂就诊于肿瘤医院，确诊“原发性肝癌”，给予口服“仑伐替尼”10月及TACE治疗8次。现长期口服靶向药物"瑞戈非尼"治疗。我院门诊行上腹部磁共振平扫加增强示:1、肝右叶较大混杂信号多结节病灶治疗后改变,大部病灶未见明显强化，肝顶外侧病灶周围团片状强化,提示该病灶周围肿瘤组织复活。2、胆囊窝处类圆形软组织信号影混杂信号影充填,似见其与胆囊管相连,胆囊结石可能,请结合临床病史及相关检查。3、左肾囊肿。甲胎蛋白测定(AFP)[2022-6-1711:00:33]:甲胎蛋白1920.000ng/mL。请你对该病人给出合适的治疗方案并给出依据？ | {
"time_sensitivity": {
"day": "17",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "2022-06"
},
"topics": [
"医疗健康",
"临床医学",
"肝胆胰外科"
]
} | [
{
"rubric_detail": "建议进行全身PET-CT或涵盖胸部、全腹部、盆腔的增强CT检查以完成全面再分期评估",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 5
},
{
"rubric_detail": "列出了Child-Pugh分级或ICG-15分钟滞留率作为肝功能储备评估的具体指标",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 5
},
{
"rubric_detail... | |
3107f221-d3cc-4401-b0e1-0b2fe36264f4 | 8,610 | cn | 病例信息：
患者，女性，42岁，因“恶心、呕吐伴意识模糊2小时”被送至急诊。家属诉患者既往有“抑郁症”病史，长期服用多种药物（具体不详），半年前曾有自杀倾向。入院查体：T 38.5°C，P 115次/分，R 28次/分，BP 110/70 mmHg。患者表现为躁动不安，面部潮红，双侧瞳孔直径约5mm，对光反射迟钝。皮肤干燥、无汗。肺部听诊（-），腹部平软，肠鸣音极度减弱。四肢肌张力增高，双侧腱反射亢进，Babinski征（-）。
辅助检查：血气分析示 pH 7.32，PaCO2 30 mmHg，PaO2 95 mmHg，HCO3− 16 mmol/L，乳酸 3.2 mmol/L。血常规：WBC 12.5×109/L，N 82%。心电图示：窦性心动过速，QRS波群时限 115ms。急诊医生初步怀疑为“重症肺炎伴感染性脑病”，立即予以物理降温、经验性头孢曲松抗感染及大量生理盐水快速补液。随后，患者出现阵发性全身抽搐，血气复查示 pH 7.20。
请回答以下问题：
1.针对该患者目前的抽搐发作及酸中毒状态，请给出首选的药物干预方案及具体的药理学依据。
2.在维持循环稳定的过程中，若患者血压进一步下降，应如何选择血管活性药物？请评价生理盐水在此病例中的使用细节。
3.若患者瞳孔由5mm缩小至2mm，且出现了呼吸频率减慢（10次/分）。家属怀疑其还服用了“阿片类药物”。请评价在此时诊断性应用纳洛酮的风险。
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"急诊与危重症"
]
} | [
{
"rubric_detail": "针对抽搐和酸中毒，首选药物方案为静脉推注高浓度碳酸氢钠（NaHCO3）",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "碳酸氢钠治疗的目标是将血浆pH值维持在7.45-7.55之间,QRS波时限(＜100 ms)",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 4
},
{
"rubric_detail... | |
eb90ce6e-8a53-4fc4-8b71-4fc2f6913cdc | 8,660 | cn | 患者男性，58岁，因“右上腹胀痛伴消瘦、皮肤巩膜黄染2月”入院。有慢性乙型肝炎病史20年，未规律抗病毒治疗，有长期饮酒史。查体：皮肤巩膜中度黄染，肝肋下3cm可及，质硬，边缘不规则，无压痛。实验室检查：血常规示轻度贫血；肝功能：ALT 120 U/L，AST 185 U/L，TBil 85 μmol/L，DBil 70 μmol/L，ALB 32 g/L；乙肝两对半示HBsAg、HBeAb、HBcAb阳性，HBV-DNA 5.6×10⁴ IU/mL；肿瘤标志物：AFP 1250 ng/mL，CEA 35 ng/mL，CA19-9 480 U/mL。上腹部增强CT显示：肝右叶可见一大小约6.5cm×5.8cm的不规则肿块，动脉期明显不均匀强化，门脉期及延迟期强化减退，呈“快进快出”典型表现；同时，在肝左叶内另见一个约2cm的弱强化病灶，边界不清，远端肝内胆管轻度扩张；肝门区可见数枚肿大淋巴结。患者曾于外院行肝右叶肿块穿刺活检，病理报告为“中-低分化肝细胞癌”。目前患者一般情况尚可，Child-Pugh评分B级（8分），ECOG评分1分。
结合以上病例信息，回答以下问题：
1.诊断与诊断依据是什么？
2.鉴别诊断：需要与哪些疾病进行鉴别？为什么？
3.进一步检查：为明确诊断和制定治疗方案，需要什么进一步检查？
4.下一步治疗方案：请根据你的综合判断，制定下一步治疗方案。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"肝胆胰外科"
]
} | [
{
"rubric_detail": "诊断部分指出单纯的肝细胞癌（HCC）诊断不完整或存在矛盾，需考虑混合型肝细胞-胆管癌（cHCC-CCA）或双原发癌的可能性",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "依据中提及AFP显著升高且右叶病灶呈“快进快出”典型表现，支持HCC成分的存在",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{... | |
4c394bc9-4f72-4b9d-b5ec-7b26968c8d68 | 8,684 | cn | 患者李xx，女，67岁，因胸痛6小时入院。入院后心电图提示II、III、AVF导联ST段抬高。急诊心肌酶检查提示：LDH 205U/L，CK 288U/L，CKMB 57U/L，肌钙蛋白I（cTnI）：5.04ng/ml。患者既往高血压10年，最高达210/118mmHg，长期口服苯磺酸左氨氯地平片（5mg/日）及缬沙坦（80mg/日），自诉血压控制尚可，入院后测血压138/89mmHg。否认糖尿病史。既往胃溃疡病史，2年前曾发生胃溃疡出血，服用抑酸、保护胃黏膜等药物后治愈。入院后查体：急性面容，神志清。听诊心率98次/分，律齐，未闻及心音分裂，各瓣膜听诊区未闻及病理性杂音。双肺底可闻及少许湿性啰音。现针对该患者，请给出紧急和后续治疗方案，并完成病情告知和医患沟通。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"心血管内科"
]
} | [
{
"rubric_detail": "模型没有明确推荐以阿司匹林肠溶片300mg嚼服联合硫酸氢氯吡格雷片600mg口服进行药物负荷",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": -10
},
{
"rubric_detail": "模型给出的诊断应包括心功能评级，明确为Killip分级（2级）",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 3
},
{
"rubric_detail": ... | |
fe491b1f-b37b-4f37-8e93-509ebcd000e9 | 8,710 | cn | 患者，女性，28岁，因“全腹剧烈绞痛伴呕吐、四肢无力12小时”急诊入院。患者既往有类似发作史两次，均在“减肥节食”或“月经前期”诱发，曾行剖腹探查术未见异常，诊断为“肠功能紊乱”。查体：T 37.4°C，P 118次/分，R 22次/分，BP 165/105 mmHg。神志清楚，表情极其痛苦，呼叫呻吟；双侧瞳孔等大等圆，对光反射存在；腹部平软，全腹轻压痛，但无固定压痛点，无反跳痛及肌紧张，肠鸣音减弱。神经系统检查：四肢肌力3级，腱反射减弱，病理征阴性。
实验室检查：血常规及淀粉酶正常；血钠126 mmol/L，血钾3.4 mmol/L；尿常规示尿蛋白（-），隐血（-），但家属反映患者近两次尿液在放置阳光下观察后，颜色似乎有所加深，呈暗红色。心电图示窦性心动过速。腹部平片未见膈下游离气体及肠梗阻征象。
急诊接诊医师初步怀疑为“低钾性周期性麻痹”，但在补钾及对症处理后，患者腹痛进一步加重，并出现胡言乱语、幻觉等精神症状，随后发生全身强直-阵挛性抽搐。
请回答以下问题：
1.该患者出现呼吸肌力弱（PaO2下降）并伴有严重的低钠血症（122 mmol/L）。若此时计划行气管插管机械通气，请列出麻醉诱导药物的选择禁忌，并论证在这种状态下如何平衡“限制液体入量”与“维持循环容积”？
2.对该患者进行神经系统受损评估，除了近端肢体无力和脑病症状外，请指出哪些极易被临床忽视的神经受累表现，并说明这些表现对预后判断的权重差异。
3.假定患者在入院第48小时，腹痛缓解，但突然出现剧烈的背部疼痛及双下肢感觉异常，随后尿量锐减。实验室检查示肌酸激酶（CK）轻度升高，尿隐血（+）但镜检红细胞（-）。请推导这一系列新发症状的底层病理生理机制，并说明为什么碱化尿液疗法在此时存在隐患？
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"神经内科"
]
} | [
{
"rubric_detail": "巴比妥类药物（如硫喷妥钠）被明确列为麻醉诱导的绝对禁忌药物",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "遗漏了“依托咪酯因抑制11β-羟化酶干扰皮质醇合成，应被认定为禁忌药物”",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": -20
},
{
"rubric_detail": "未识别出氯胺酮在本例... | |
7cc331b2-297b-4311-ba03-a5ed0a27996b | 9,022 | cn | 患者男性，56岁，因“突发神志模糊伴呕吐鲜血2小时”由急诊科送入ICU。患者既往有慢性乙型肝炎病史15年，未规律抗病毒治疗；5年前发现肝硬化（代偿期）；吸烟史30年。查体：T 37.2℃，P 128次/分，R 26次/分，BP 85/50 mmHg。深昏迷，皮肤巩膜中度黄染，前胸可见数枚蜘蛛痣，腹部膨隆，移动性浊音（+）。实验室检查示：HGB 65g/L，WBC 12.0×109/L，PLT 45×109/L；总胆红素 58μmol/L，白蛋白 26g/L，凝血酶原活动度（PTA） 42%；AFP 850ng/mL。急诊胃镜示食管静脉曲张破裂出血（EVB），已行硬化剂治疗，目前生命体征在快速补液及血管加压素维持下趋于稳定。入ICU后第2天，复查腹部增强CT示：肝右叶可见一直径约4.2cm的孤立占位性病变，动脉期呈明显不均质强化，门静脉期及延迟期强化减弱，呈“快进快出”模式；门静脉主干内见充盈缺损，远端血流完全受阻，并伴有广泛的腹腔侧支循环。患者目前神志转为浅昏迷，血气分析提示轻度呼吸性酸中毒合并代谢性碱中毒。请根据2025《EASL Clinical Practice Guidelines on the management of hepatocellular carcinoma》，回答以下问题：
1.根据指南，该患者目前最适宜的抗肿瘤治疗方案是什么？请阐述理由。
2.针对CT显示的门静脉主干充盈缺损，在制定后续治疗计划前，是否需要进行穿刺活检或额外的影像学检查以明确其性质？请给出依据。
3.请分析患者神志变化对肿瘤分期评估及预后的影响。
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"肝胆胰外科"
]
} | [
{
"rubric_detail": "明确指出该患者不具备任何积极抗肿瘤治疗（包括系统治疗）的指征",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "回复中未提及肝移植评估。",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": -8
},
{
"rubric_detail": "依据患者腹水、黄疸、凝血功能及神志状况，判定其肝功能分级为Child... | |
81bf36b9-d2b6-40e6-9f4e-870fa0212b31 | 9,061 | cn | 你是一名口腔正畸医生，接诊了一名10岁的女性患儿，其家长主诉是牙齿不整齐和龅牙，近2年逐渐加重。家族中未见类似面容。
询问病史后得知患儿有夜间口呼吸习惯，于耳鼻喉科就诊发现腺样体肥大，重度阻塞性睡眠呼吸暂停，药物治疗3个月未见明显改善。
口外检查可见侧貌凸，上颌前突，下颌后缩，面下1/3长。口内检查可见：混合牙列，上下前牙中度拥挤不齐，上牙弓狭窄，前牙II度深覆盖，I度深覆合，双侧磨牙远中关系。
头影测量可见C2锥体下缘出现凹陷，C3及C4椎体下缘平坦，SNA=80度，SNB=74度，SN-MP=32度，U1-PP=120°，L1-MP=90°。
经家属在网上了解及其他诊所就诊，提出以下诉求：
1、不可以拔牙矫正，否则以后牙齿会稀疏和松动，容易脱落，影响吃饭；
2、不可以进行腺样体手术，会影响免疫力；
3、要求佩戴硅胶类矫治器，只能晚上佩戴，不影响白天学习。
请你基于以上信息，结合2024年-2025年最新的临床指南或专家共识，给出专业的治疗建议。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"口腔医学"
]
} | [
{
"rubric_detail": "根据磨牙远中关系，诊断为安氏Ⅱ类错颌畸形",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 5
},
{
"rubric_detail": "依据SNA、SNB及ANB数值，诊断为骨性II类错颌",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 5
},
{
"rubric_detail": "根据颈椎椎体形态，得出发育处于CS2期，正值生长发育高峰期前",... | |
611c260e-93ef-4391-bbdd-0beda5f267de | 9,126 | cn | 题目：不合常理的“爆发性心肌炎”
身份设定： 你是心内科ICU（CCU）的带教老师。
病例背景： 患者，女性，29岁，因“发热、全身肌肉酸痛3天，气促、胸闷6小时”急诊入院。 现病史： 患者3天前无诱因出现低热、乏力及大腿肌肉酸痛。6小时前突发呼吸困难。急诊查心电图示：窦性心动过速（130次/分），广泛ST-T改变。心肌酶谱显著升高：cTnI 15.6ng/ml（参考值<0.03），CK 18,500U/L，CK-MB 420U/L。NT-proBNP 4500pg/ml。超声心动图（UCG）示：左室壁弥漫性运动减弱，LVEF 35%。初步诊断为“急性爆发性心肌炎、心源性休克”。 转折点： 入院后予以ECMO（体外膜肺氧合）支持，但医生发现几个疑点：
1. 患者虽然CK（肌酸激酶）极高，但CK-MB/CK比值仅为2.2%，远低于心肌损伤常见的5%-20%。
2. 患者出现肉眼深色尿（潜血+++，但镜检红细胞仅0-2个/HP）。
3. 尽管LVEF低下，但心腔并未扩大，且患者伴有对称性的近端肢体无力，腱反射减弱。
4. 追问病史，患者发病前1周曾因“重症感冒”服用过奥司他韦和某种自服草药，并曾进行过高强度健身。
请问： 该患者最可能的临床诊断是什么？为了确诊，首选的实验室检查（特异性抗体）是什么？在治疗上，除了生命支持，最关键的药物干预方向是什么？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"急诊与危重症"
]
} | [
{
"rubric_detail": "明确指出最可能诊断为“免疫介导坏死性肌病（IMNM）”。\n",
"rubric_number": 1,
"rubric_tag": "指令遵循",
"rubric_weight": 10
},
{
"rubric_detail": "明确指出确诊需检测“抗SRP抗体”。\t",
"rubric_number": 2,
"rubric_tag": "指令遵循",
"rubric_weight": 8
},
{
"rubric_detail": "提出治疗需使用“IVIG（静脉注射免疫球蛋白）”或“利... | |
dcfde4cd-fcb9-4390-94ea-3b8016158250 | 9,238 | cn | 一位81岁女性患者，既往体检发现胃窦部有一约15mm的黏膜下肿瘤，当时无症状，予以随访。1年后复查胃镜，发现肿瘤增大至20mm，且表面出现中心凹陷，伴有贫血。超声内镜（EUS）显示病变起源于胃壁黏膜肌层，呈均匀低回声，固有肌层完整，大小约14.2 x 8 mm。CT检查未见淋巴结肿大或远处转移。
问题：
1、基于病变进展及影像学特征，你首先考虑的鉴别诊断有哪些？确诊的金标准是什么？
2、针对该病变的大小和形态特征，获取术前病理的最佳活检方式是什么？并说明理由。
3、若活检病理提示“梭形细胞增生，SMA(+)，Desmin(-)，c-KIT(-)，CD34(-)，S100(-)”，确诊为何种肿瘤？
4、考虑到肿瘤位置靠近幽门及性质，首选的手术方式是什么？请阐述选择该术式的临床依据。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"胃肠外科"
]
} | [
{
"rubric_detail": "列举出鉴别诊断需包括GIST（胃肠道间质瘤）及PF（丛状纤维黏液瘤）。",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 10
},
{
"rubric_detail": "明确指出确诊的金标准是组织病理学及免疫组化。",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 6
},
{
"rubric_detail": "推荐针对凹陷进行咬取活检",
"... | |
dd646f83-7a44-4e24-8240-f626624fa179 | 9,257 | cn | 患者女，60岁，因"反复上腹部胀痛2年余，加重1个月余"于2016年2月19日入院。患者近2年来无明显诱因出现上腹部胀痛，进食或行走后明显，多次在外院诊治，诊断为"胃炎"，给予对症支持治疗后症状可稍缓解。近1个月来，上述症状加重伴恶心、呕吐，呕吐物为胃内容物，伴反酸、胸部烧灼感，乏力、乏味，无咯血、出血及血便，伴胸闷、心慌、头昏、头晕，伴腰部及下肢疼痛，可耐受，无发热。既往高血压史10余年，规律服用降压药，血压控制尚可。查体：脉搏79次/min，律齐；血压147/73 mmHg(1 mmHg＝0.133 kPa)；双下肢无水肿，皮温皮色可，肌力正常，活动可；双侧股动脉、腘动脉、足背动脉搏动减弱；左侧踝肱指数(ABI )为0.93、右侧ABI为0.88。腹部CT血管造影(CTA)示：腹主动脉下段附壁血栓形成并中重度狭窄，腹主动脉中下段钙化，双侧肾动脉未见明显狭窄，侧支循环建立，肠系膜下动脉扩张，肠系膜分支动脉显影欠佳。请阅读题目并给出：1.诊断；2.诊断依据；3.进一步检查；4.治疗方案。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"胃肠外科"
]
} | [
{
"rubric_detail": "诊断结论中未明确指出患者患有近肾腹主动脉闭塞症",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": -10
},
{
"rubric_detail": "明确给出慢性肠系膜缺血诊断",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 5
},
{
"rubric_detail": "明确给出下肢动脉粥样硬化性闭塞症诊断",
"rubric_number"... | |
f6d9a7e6-6d20-4f89-9937-1c9ba7836e73 | 9,287 | cn | 李女士，32岁，因“停经9周，超声未见胎心”前来就诊。病史回顾显示，她近3年内共有3次自然流产史：第1次为孕6周的生化妊娠，第2次为孕9周的空孕囊，本次为第3次。她非常焦虑，希望进行全面的检查以明确原因。问题：根据2025年复发性流产病因分级筛查临床实践中国专家共识，李女士的情况是否可诊断为“复发性流产（RSA）”？请阐述诊断标准及其背后的临床考量。假设你计划为李女士启动病因筛查，请基于病因分级筛查的理念，列出应首先进行的一级筛查可能包含的主要方面（至少四个方面），并简要说明理由。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"妇产科学"
]
} | [
{
"rubric_detail": "明确判定李女士的情况符合复发性流产（RSA）的诊断标准。",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{
"rubric_detail": "模型未正确定义复发性流产（RSA），或未指出其包含生化妊娠、发生在妊娠28周前等关键要素。",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": -5
},
{
"rubric_detail": "导致生化... | |
d97af248-9a73-4a5b-8e9b-a406004cb5b2 | 9,309 | cn | 我在使用HEK-293T细胞样本对目标蛋白Nrf2(约100 kDa)进行WB检测时，多次实验发现经常会出现无信号或信号极弱的情况。而同一块胶上的内参蛋白β-actin（约42 kDa）条带清晰可见。已知我采用的是1.5 mm厚的15孔7.5%浓度的SDS-PAGE胶，NC膜，湿转法100V恒压转膜100分钟，5%脱脂奶粉室温封闭一小时，一抗1：1000四度摇床孵育过夜，采用一抗对应种属的HRP二抗，室温孵育一小时，并使用化学发光法成像。在不更换细胞系种类、SDS-PAGE胶、电泳、转膜、封闭条件及一抗及其孵育条件的情况下，请分析Nrf2无信号/信号弱的可能原因，并给出相应的实验方案建议。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"基础医学",
"分子生物学"
]
} | [
{
"rubric_detail": "模型多次复述了用户输入中已提供的实验条件参数，导致内容冗余。",
"rubric_number": 1,
"rubric_tag": "行文结构和格式",
"rubric_weight": -5
},
{
"rubric_detail": "排版混乱，缺乏清晰的小标题或列表结构，导致阅读困难",
"rubric_number": 2,
"rubric_tag": "行文结构和格式",
"rubric_weight": -5
},
{
"rubric_detail": "模型应指出Nrf2蛋白具有半衰... | |
d99d37b8-14d6-4df3-ada7-f5b3721747cb | 9,462 | cn | 一名52岁女性患者，因“发热、关节痛伴皮疹2周，加重3天”入院，患者2周前无明显诱因出现发热，体温波动在38.5-39.8℃，伴有双手腕、膝关节对称性肿痛，同时面颊部出现无明显瘙痒的红色皮疹，日晒后加重，近3天出现活动后气短和夜间不能平卧，患者自述有反复口腔溃疡史但未就医，既往有高血压病史5年服用氨氯地平控制可，无明确肾脏病或肝炎病史，入院查体T 39.1℃，BP 145/90mmHg，神清，面部蝶形红斑，双肺底可闻及细湿啰音，心界向左下扩大，心尖区闻及2/6级收缩期杂音，腹部无压痛，双下肢中度凹陷性水肿，辅助检查示血常规WBC 3.2×10⁹/L，Hb 82g/L，PLT 85×10⁹/L，尿常规示蛋白（+++），颗粒管型5-8个/HP，24小时尿蛋白定量3.8g，血生化示白蛋白28g/L，肌酐清除率估算值（eGFR）为58 mL/min/1.73m²，ALT 85U/L，AST 92U/L，总胆红素正常，免疫学检查示ANA 1:320（颗粒型），抗dsDNA抗体阳性（1:80），抗Sm抗体阴性，补体C3 0.48g/L，C4 0.09g/L，血沉（ESR）98mm/h，C反应蛋白（CRP）42mg/L，降钙素原（PCT）0.8ng/mL，超声心动图示左心室舒张末期内径增大伴轻度二尖瓣反流，肺部CT提示双侧少量胸腔积液伴肺间质纹理增粗，请回答：
1.该患者最可能的初步诊断是什么？列出至少三个诊断依据；
2.需要优先与哪些疾病进行鉴别诊断？列出两个主要鉴别疾病并说明鉴别要点；
3.当前最紧急需要处理的临床问题是什么？应即刻采取什么措施；
4.为明确疾病活动度及指导治疗，除已查项目外还需紧急完善哪两项关键实验室检查；
5.请根据上述情况拟定初始治疗方案，需涵盖免疫抑制治疗和控制并发症的具体药物选择。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"医学检验"
]
} | [
{
"rubric_detail": "明确指出患者最可能的初步诊断为系统性红斑狼疮（SLE）",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "诊断依据中提及了蝶形红斑、光过敏或口腔溃疡等具体的皮肤黏膜症状",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 5
},
{
"rubric_detail": "鉴别诊断的疾病列表中包含感染性心内膜炎... | |
f0597e81-d2ba-4069-a6de-8f86d29964e4 | 9,582 | cn | 患者，男，46岁。因“发热、进行性呼吸困难伴干咳2周，加重2天”由急诊收入ICU。患者于18个月前因急性髓系白血病（AML）接受了异基因造血干细胞移植（allo-HSCT）。入室查体：T 38.4°C，P 118次/分，R 28次/分，BP 105/65 mmHg。神志清楚，精神萎靡，胸部听诊双肺呼吸音减弱，未闻及明显干湿啰音，可见皮肤硬化表现及口腔溃疡。血气分析（鼻导管吸氧5L/min）：pH 7.42，PaO2 62 mmHg，PaCO2 32 mmHg。床旁胸片显示双肺透亮度增加，未见明显渗出影。
急诊初步拟诊“重症肺炎、I型呼吸衰竭”，并给予经验性广谱抗生素及抗真菌治疗。完善进一步检查：胸部高分辨率CT（HRCT）示双肺弥漫性马赛克灌注征，呼气相扫描可见明显的空气潴留；肺功能检查（PFT）示 FEV1 为预测值的 38%，FEV1/FVC 为 0.55，且 RV/TLC 明显升高，弥散功能（DLCO）轻度下降。实验室检查提示巨细胞病毒（CMV）DNA阴性，半乳甘露聚糖（GM）试验阴性。患者目前仍有明显气促。请根据2024《ERS/EBMT clinical practice guideline on treatment of pulmonary chronic graft-versus-host disease in adults》指南，回答以下问题：
1.该患者目前的核心诊断是什么？除了应用糖皮质激素外，是否应立即联用体外光化学疗法（ECP）或利妥昔单抗以强化疗效？请说明理由。
2.在为该患者制定“FAM方案”（氟替卡松+阿奇霉素+蒙脱司特）时，考虑到患者目前的呼吸窘迫状态，能否增加阿奇霉素的给药频率（如每日一次）以发挥其抗炎作用？此外，对于这类移植后患者，是否推荐长期预防性使用阿奇霉素？
3.在应用足量糖皮质激素治疗 2 周后，若患者气促症状有所好转，但胸部 HRCT 仍显示明显的马赛克灌注征，此时是否可以因为“影像学未改善”而判定治疗无效，并维持原激素剂量或加量？
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"呼吸内科"
]
} | [
{
"rubric_detail": "明确指出患者的核心诊断为异基因造血干细胞移植后慢性移植物抗宿主病（cGVHD）表现出的闭塞性细支气管炎综合征（BOS）",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{
"rubric_detail": "根据患者肺功能FEV1数值判定其病情严重程度为重度（Severe）",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"ru... | |
ba4bb671-0fcc-4f6d-bb37-ea12aab8e5d8 | 9,769 | cn | 我取了小鼠脾脏，研磨制成单细胞悬液，我想用于流式染色检测调节性T细胞的活化，我使用的染色方案是：CD3，CD8，Foxp3，CD44，流式染色发现调节性T细胞的比例为0.05%，请帮我分析原因，并帮我设计完整的调节性T细胞染色方案：包含流式染色的实验步骤和染色使用的抗体方案 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"基础医学",
"免疫学"
]
} | [
{
"rubric_detail": "指出流式细胞术结果中调节性T细胞比例过低可能源于圈门策略设置不当",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": 5
},
{
"rubric_detail": "分析认为Foxp3抗体失活或荧光基团淬灭是导致检测比例异常的潜在原因",
"rubric_number": 2,
"rubric_tag": "观点分析",
"rubric_weight": 7
},
{
"rubric_detail": "明确指出Foxp3蛋白属... | |
12ec26fa-84c0-4639-b5c5-9e00c62dca0c | 9,854 | cn | 主诉：发现血糖升高20余年，纳差4天
患者20余年前体检发现空腹血糖10mmol/L，无多饮、多食、多尿、无体重减轻，就诊于我院门诊，考虑“糖尿病”，后规律口服阿卡波糖100mgTID、格华止500mgTID、瑞格列奈1mgTID降糖治疗，监测血糖餐前5～7mmol/L，餐后9-11mmol/L。9个月前无明显诱因出现四肢肢体末端麻木感，双足肿胀感，自测空腹血糖8～10mmol/L，餐后11-13mmol/L，未调整降糖方案。2个月前测空腹血糖10.9mmol/L，餐后血糖12.5mmol/L，复查糖化血红蛋白7.9%，尿糖 2+，尿酮体 -，血糖控制欠佳于门诊调整为恩格列净10mgQD、吡格列酮30mgQD、拜唐苹50mgTID降糖治疗，监测空腹血糖10-11mmol/L，餐后血糖11-14mmol/L，自觉四肢麻木感较前好转。半月前于我科住院治疗，根据血糖监测情况调整调整目前降糖方案为利拉鲁肽1.2mg皮下注射，联合拜唐苹(阿卡波糖片)50mg TID、欧唐静(恩格列净片)10mg QD、二甲双胍缓释片1.5g QD降糖治疗，目前血糖控制在空腹＜7mmol/L，餐后2h血糖波动在8-10mmol/L。4天前患者出现纳差，不想进食，伴排便困难，无心悸、大汗，无多饮、多尿，无头晕、头痛、意识障碍等，后自行口服益生菌及番泻叶辅助通便，效果欠佳；3天前患者出现心悸、乏力伴恶心、干呕，未规律进食，自行食用大量含糖巧克力及乳酸菌饮料，心悸逐渐好转，但患者纳差、乏力等症状未见明显缓解。经家人辅助排便1次，后逐渐出现排大便不受控制，间断随排气排出大便；2天前患者出现乏力、嗜睡，无法自行坐起，并出现饮水呛咳，夜尿次数增多（1h/次），伴尿液粘腻，间断进食含糖饮料，未进食正常食物，自测空腹血糖10mmol/L。1天前患者出现口干、多饮，后逐渐出现深大呼吸，烦躁，说话口齿不清，逐渐出现嗜睡，意识不清，遂经120至我院急诊，来院时昏睡状态，测随机血糖 18.7(mmol/L)↑，完善血气示代谢性酸中毒，尿常规示尿糖 4+，尿酮体 3+。β-羟基丁酸升高。考虑“糖尿病酮症酸中毒”诊断明确，经充分消酮治疗后，酸中毒仍未能纠正。遂为进一步诊治就诊我科，自发病以来，患者昏睡状态，精神欠佳，睡眠可，尿管留置状态，大便2-3次/日，近9个月体重共下降10公斤。病程中，无关节疼痛、肿胀；无午后低热、盗汗；无咳嗽、咳痰；无腹胀、腹泻、便秘等，精神、饮食尚可，因夜尿增多睡眠差。
既往史：高血压病史30余年，最高150/90mmHg，现口服厄贝沙坦氢氯噻嗪片1片QD、倍他乐克缓释片1片QD降压治疗，平素血压控制在130/80mmHg。否认食物、药物过敏史。
体格检查：T 37.0℃、P 127次／分、R 35次／分、Bp 122／78mmHg；鼻导管吸氧1L/min，SaO2 96-98%，昏睡，深大呼吸；双下肺吸气相可闻及少许湿性啰音，无胸膜摩擦音；心律齐，各瓣膜听诊区未闻及杂音，无心包摩擦音；腹平坦，无腹壁静脉曲张，腹部柔软，无压痛、反跳痛，腹部无包块。肝脾脏未触及，Murphy氏征阴性，肾脏无叩击痛，无移动性浊音。肠鸣音正常，4次/分。双下肢无水肿。
化验检查：
（第 1 日）动脉血气分析：PH 6.985，PCO2 12.9(mmHg)↑，PO2 141.7(mmHg)，钠 127.1(mmol/L)，钾 3.57(mmol/L)，乳酸 2.46(mmol/L)↑，葡萄糖 17.6↑，SaO2 98%；
（第 3 日）动脉血气分析：PH 7.383，PCO2 17.5(mmHg)↓，PO2 85.2(mmHg)，HCO3- 10.2(mmol/L)↓，BE -12.5(mmol/L)↓，AG16.8(mmol/L)↑；
（第 4 日）动脉血气分析：钙 1.51(mmol/L)↑，钠 145(mmol/L)，钾 3.4(mmol/L)↓，乳酸 0.8(mmol/L)，酸碱度 7.27↓，二氧化碳分压 15.4(mmHg) ，氧分压 134(mmHg)↑，实际碳酸氢根离子浓度 6.9(mmol/L)↓，标准碱剩余 -19.1(mmol/L)↓，血氧饱和度 98.6(%)；
（第 1 日）尿糖结果为 4+，尿酮体结果为 3+，β- 羟基丁酸数值为 7450μmol/L；
（第 3 日）尿糖结果为 4+，尿酮体结果为 3+，β- 羟基丁酸数值为 4503μmol/L；
（第 7 日）尿糖结果为 4+，尿酮体结果为 2+，β- 羟基丁酸数值为 343μmol/L；
（第 8 日）尿糖结果为 4+，尿酮体结果为 2+，β- 羟基丁酸数值为 5772μmol/L；
生化组合1：ALT 12(U/L)，快速白蛋白 31.1(g/L)↓，AST 16(U/L)，快速总二氧化碳 20.4(mmol/L)↓，快速钾 4(mmol/L)，快速钠 138(mmol/L)，快速氯 107(mmol/L)，快速钙 2.25(mmol/L)，快速葡萄糖 10.7(mmol/L)↑，快速肌酐（酶法） 47(umol/L)↓，快速淀粉酶 72(U/L)；
尿微量白蛋白/肌酐 65.3(mg/g.cr)↑；
指导原则：你的方案必须遵循中国糖尿病防治指南（2024版）
你需要回答：
该患者的诊断？
考虑患者糖尿病酮症酸中毒诊断明确，经充分治疗后，酸中毒仍未能纠正，如何处理？
患者的血、尿酮体为何难以纠正？如何处理？
患者目前可应用哪种类型降糖药物？提供具体方案细节：你会选择哪一类（或几类）新药（如SGLT2i, GLP-1RA）？请给出具体药品名称、起始剂量、滴定目标和选择理由（必须阐明其心肾获益）。 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"内分泌与代谢病"
]
} | [
{
"rubric_detail": "诊断结论中明确包含2型糖尿病、糖尿病酮症酸中毒（DKA）",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "诊断结论中包含糖尿病周围神经病变",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{
"rubric_detail": "诊断结论中包含糖尿病肾病（或早期糖尿病肾病）",
"rub... | |
8eb9fe93-8198-491c-a0ae-2d59b62b635a | 9,890 | cn | 患者基本情况
患者：45岁，男性。BMI 16.5 kg/m²（重度营养不良），神志模糊（GCS 13分），血压 85/50 mmHg（多巴胺维持中）。
核心诊断：
重症肺结核（III型 危重症型）：双肺广泛空洞破坏，合并脓毒性休克。
重度急性呼吸窘迫综合征（ARDS）：PaO₂/FiO₂ = 95 mmHg，目前气管插管机械通气中。
药物性肝损伤（DILI）高风险：既往有长期饮酒史，入院查 ALT 125 U/L（3倍正常值上限），总胆红素 38 μmol/L。
疑似侵袭性肺曲霉病：痰培养提示曲霉菌属阳性，G试验阳性。
当前用药（外院带入）：利福平 0.45g QD（鼻饲）、异烟肼 0.3g QD（鼻饲）、吡嗪酰胺 1.5g QD（鼻饲）、乙胺丁醇 0.75g QD（鼻饲）；伏立康唑 200mg BID（鼻饲）。
指导原则
完全遵循《重症肺结核诊断和治疗专家共识》（2025版）。
你需要回答：综合诊疗方案
1. 制定综合药物治疗方案并提供具体方案细节
2. 风险管理与监测计划 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"呼吸内科"
]
} | [
{
"rubric_detail": "未建议立即停用异烟肼、利福平和吡嗪酰胺这三种一线抗结核药物",
"rubric_number": 1,
"rubric_tag": "观点分析",
"rubric_weight": -8
},
{
"rubric_detail": "指出停用异烟肼、利福平和吡嗪酰胺这三种一线抗结核药物的原因包括患者ALT已达到正常值上限的3倍，符合肝损伤停药标准",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 7
},
{
"rubric_d... | |
ce8ed8a0-8312-4464-ac08-cd33095eb019 | 9,921 | cn | 患者为59岁男性，确诊右肺神经内分泌癌并脑转移1年余，既往一线治疗予“阿得贝利单抗联合EP方案”治疗后行“阿得贝利单抗联合依托泊苷”维持治疗，维持治疗期间行脑部转移病灶放疗，随后患者因出现肝脏新发转移病灶来诊，后续入组临床药物研究，给予“QLC5508+QL1706+卡铂”方案治疗一周期，用药后一周，此次来院门诊行相关检查结果提示(异常值)：血常规 白细胞计数0.67×10∧9/L，血小板计数14×10∧9/L，PCT 1.17ng/ml，粪便常规提示潜血阳性，凝血六项结果提示血浆纤维蛋白原6.86g/L，血浆D-二聚体3.32mg/L，纤维蛋白降解产物（FDP）11.24 ug/ml，CRP 250.18mg/L，尿常规提示尿潜血+，蛋白质+，亚硝酸盐+，尿胆原，比重≥1.030，微白蛋白 0.15g/L，肝功能 血清总胆红素 37.7 umol/L，血清直接胆红素 37.0 umol/L。请问1.患者先考虑诊断是什么 2.需要考虑哪些鉴别诊断 3.导致这些诊断的病因考虑有哪些？4. 下一步给予的治疗处置以及期间需要注意的事项和与患者及家属的沟通要点 | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"肿瘤学"
]
} | [
{
"rubric_detail": "初步诊断明确指出了IV度骨髓抑制，具体包含白细胞、中性粒细胞及血小板的抑制",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 10
},
{
"rubric_detail": "初步明确诊断肝功能异常",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 3
},
{
"rubric_detail": "诊断结论中涵盖了肺神经内分泌癌伴脑转移及肝转移的基础病情"... | |
2008063e-3dd5-4b76-831f-f06ef4e7d739 | 9,952 | cn | 患者基本情况：51岁，绝经前女性，无肿瘤家族史。ECOG评分0分。
核心诊断：左乳三阴性乳腺癌（cT3N1M0，IIIA期）。空心针穿刺活检病理：浸润性导管癌，非特殊类型。免疫组化：ER（-），PR（-），HER2（0）。Ki-67指数：70%。
关键生物标志物：
PD-L1检测：肿瘤浸润免疫细胞阳性（≥1%）。
BRCA1/2基因检测：未发现致病性胚系突变。
治疗经过：新辅助治疗：接受8周期“白蛋白紫杉醇+卡铂+帕博利珠单抗”方案治疗。治疗期间出现2级周围神经病变及1级免疫相关性甲状腺功能减退（已补充左甲状腺素控制良好）。
手术治疗：完成新辅助治疗后行“左乳癌改良根治术+腋窝淋巴结清扫术”。
术后病理：乳腺原发灶内未见残留浸润性癌细胞，仅见少量导管原位癌成分。腋窝淋巴结（0/18枚）未见癌转移。评估：ypTis ypN0，达到pCR。
指导原则：您的决策需严格遵循《中国临床肿瘤学会（CSCO）乳腺癌诊疗指南（2025年版）》中关于“三阴性乳腺癌新辅助治疗后辅助治疗”及“免疫检查点抑制剂相关毒性管理”的推荐。
请回答：1）辅助治疗决策：术后辅助治疗方案？2）新辅助期间毒性管理：患者新辅助期间出现的2级周围神经病变，在术后康复期应如何管理？对于已发生的免疫性甲减，在辅助治疗期间的随访计划是什么？3）复发风险评估与长期监测：尽管达到pCR，该患者仍有哪些基线高危因素提示需要密切随访？长期随访计划中，除常规影像学检查外，应特别关注哪些与既往治疗相关的潜在晚期毒性？ | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"医疗健康",
"临床医学",
"肿瘤学"
]
} | [
{
"rubric_detail": "明确指出由于患者达到pCR，术后无需追加辅助化疗",
"rubric_number": 1,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{
"rubric_detail": "建议术后继续使用帕博利珠单抗进行辅助治疗满1年",
"rubric_number": 2,
"rubric_tag": "事实信息",
"rubric_weight": 8
},
{
"rubric_detail": "依据患者初始分期cT3N1判定即使达到pCR仍需进行放疗",
... | |
1dbd3e38-1c81-4cf1-94eb-d1d24f9a2d49 | 10,181 | global | A high-speed stamping production line at an automotive parts factory uses a PROFINET industrial communication system. The main equipment includes: one Siemens S7-1500 controller; eight KUKA robots (controlling die open/close and part handling); and four Keyence vision inspection cameras (real-time measurement of stamped part dimensions). These devices are connected via three Hirschmann industrial switches into a distributed network, using standard unshielded Category 5 Ethernet cables, with a maximum cable run of about 80 meters. Three 200-kilowatt stamping presses are situated around the line, generating strong electromagnetic interference (EMI) during operation.
Recently, the line has encountered issues: when the presses run at high speed (60 strokes per minute), robot response slows from the original 5 milliseconds to over 25 milliseconds, and the vision cameras lose inspection data 3 to 5 times per hour (causing defects to go undetected). However, when the presses run at low speed (30 strokes per minute), communications are normal. The factory mandates no large-scale retrofit and no shutdown; the problem must be solved at minimal cost on the existing hardware, with communication response stabilized within 10 milliseconds and a data loss rate not exceeding 0.01%.
Please analyze root causes and provide a step-by-step diagnostic workflow and concrete optimization plan from four core perspectives: PROFINET protocol characteristics, industrial network topology/connection methods, EMI mitigation design, and hardware configuration parameters. Include detailed operational points for segmenting switches by area via VLAN-based network partitioning, rectifying cabling, and adjusting communication protocol parameters. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "Accurately identify that the protocol issue is operation in Real Time (RT) rather than the more interference-resilient Isochronous Real Time (IRT), resulting in data errors and retransmissions.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 10
},
... | |
6c34d48e-cc4e-4193-be63-a1094f541fe8 | 10,298 | global | In order to tap into new business growth areas, a provincial operator plans to carry out a trial deployment of Rel-18 5G-Advanced NR-DC technology in the live network. This trial will use the FR2 high-frequency band as the primary coverage band, with the core objective of fully supporting MR-DC scenarios. In combination with the planned introduction of high-definition VR/AR and high-throughput data services, several key technical requirements are proposed as follows:
First, in FR2-band UE mobility scenarios, the interruption latency must be controlled within 10 ms, and the signaling overhead must be reduced by more than 40% compared with the Rel-17 version. This is the fundamental prerequisite for assuring the service experience of low-latency services such as high-definition VR/AR. Second, the propagation characteristics of the FR2 band result in relatively frequent SCG changes. Preliminary statistics on the live network show that, on average, one change occurs every 30 seconds, and technical optimization is required to avoid additional latency incurred by frequent network reconfiguration. Third, in conditional handover (CHO) scenarios, it is not sufficient to focus only on the channel quality of a single cell; it is necessary to ensure the stability of both the PCell and the PSCell, with the ultimate objective of achieving a UE throughput gain of more than 25%. Finally, the UE side must support the storage of at least 8 CHO-related configurations and must be fully compatible with the Rel-17 CPAC/CPC procedures, so as to ensure smooth access for existing UEs and avoid additional modification costs on the UE side.
Based on the standardization achievements of 3GPP Rel-18 in mobility enhancement, and in view of the actual requirements of the current live network, the following key technical issues need to be addressed:
1. For the core requirement of low-latency mobility in the FR2 band, which technical solution should be selected as the main approach? A detailed description is required of the key content of the UE pre-configuration and the methods for acquiring Early TA—here both reliability and low latency must be considered. In addition, what are the key fields in the handover command? If the UE has already obtained a valid TA value through autonomous measurement, which handover type should be used in this case? How should the grant for the first uplink transmission be selected? Finally, it is necessary to analyze the fundamental reasons why this solution can reduce latency compared with the traditional Rel-17 handover.
2. For scenarios with frequent SCG changes, how should the optimization solution be designed? First, the technical option must be clearly defined, followed by the core execution procedure and configuration update mechanism. A specific scenario needs to be considered here: if the UE first accesses candidate PSCell1 via the CPC procedure, and within 10 seconds candidate PSCell2 meets the access conditions, how should the UE perform the access? Is it necessary for the network side to re-deliver configuration? At the same time, the update procedure of the SN Counter in the security mechanism needs to be elaborated in detail.
3. To achieve the throughput improvement target in CHO scenarios, what configuration structure should be adopted for CHO? Which network element determines the execution conditions for the PCell and for the PSCell, respectively? Which triggering events are supported for each? Suppose there is a candidate PCell that meets the execution conditions, but among its three associated candidate PSCells only PSCell3 meets the condEventA4 threshold requirement, while the other two do not. How should the UE proceed in this case? If, at the same time, the conditions of the traditional Rel-17 CHO are also met, which handover type should ultimately be triggered? What key information needs to be reported to the network?
4. The live network requires UEs to support storage of 8 CHO-related configurations. Suppose a given UE currently stores configurations consisting of 3 CHO configurations with candidate SCG, 2 Rel-17 CHO configurations, and 3 CPA configurations. What is the storage compatibility mechanism for these different types of configurations in the UE? If, in one CHO configuration with candidate SCG, only the PCell meets the execution conditions while the PSCell does not, how should the UE handle this? In addition, if the network side needs to add one new CPC configuration, how should this be done without exceeding the UE’s storage limit?
5. The trial network is planned to evolve subsequently to support inter-CU LTM handover functionality. Please design a smooth evolution方案 from Rel-18 to Rel-19, focusing on clearly identifying the key enhancement points at three levels: interfaces, measurements, and functions. At the same time, a differentiated scheduling mechanism on the network side for Rel-18 and Rel-19 UEs needs to be formulated, with detailed explanation from three dimensions: LTM trigger mechanisms, measurement configuration, and handover procedures. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "The model enumerates the Early TA acquisition methods as primarily UE autonomous measurement, with PDCCH order–triggered RACH procedure as a fallback.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 5
},
{
"rubric_detail": "The model analyzes t... | |
2b4583f1-f332-43c6-999e-9166e6d2c6e5 | 10,308 | global | Title: Review the Fatal Bug in This LLaMA W8A8 Quantized Operator
Problem Description:
I am an architect responsible for inference engine optimization. Recently, in order to run LLaMA-7B on an edge device (NVIDIA Orin), I asked an intern to hand-write a custom W8A8 (INT8 weights, INT8 activations) matrix multiplication (GEMM) CUDA kernel.
The goal was to replace cuBLAS and reduce binary size with an extremely minimal implementation. However, the submitted code produces completely garbled outputs (perplexity explodes), and it is even slower than FP16.
Below is the intern’s quantization description and the core CUDA code snippet (simplified):
1. Quantization Scheme:
Both weights and activations use Per-Tensor Symmetric Quantization.
Formula: Q = clip(round(X / scale), -127, 127), where scale = max(abs(X)) / 127.
2. CUDA Kernel (C++) Snippet:
```cpp
__global__ void w8a8_matmul_kernel(const int8_t* A, const int8_t* B, float* C,
float scale_a, float scale_b, int N, int K) {
// A: M x K (Row Major)
// B: K x N (Column Major, transposed to optimize reads)
// C: M x N
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
if (row < N && col < N) {
// accumulator
int8_t sum = 0;
for (int k = 0; k < K; ++k) {
// naive dot product
int8_t a_val = A[row * K + k];
int8_t b_val = B[col * K + k]; // B is column-major, so we do this
// multiply-accumulate
sum += a_val * b_val;
}
// dequantize and write to global memory
C[row * N + col] = (float)sum * scale_a * scale_b;
}
}
```
As the Tech Lead, identify at least three fatal errors in the above approach that cause either catastrophic accuracy degradation or poor performance. Explain, from first principles, why these design choices are fundamentally flawed, and then provide the correct remediation direction tailored to the architectural characteristics of LLaMA.
Requirements:
- Do not provide generic code optimization advice (e.g., "add comments"); focus only on hard-core mathematical computation and CUDA hardware mechanisms.
- You must clearly explain why the intern’s quantization strategy does not work for a model like LLaMA.
- You must point out the severe mathematical fallacy in the code regarding data type handling. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Machine Learning",
"Machine Learning"
]
} | [
{
"rubric_detail": "The answer should compute an arithmetic intensity of approximately 1 Op/Byte (or 2 Ops / 2 Bytes), or explicitly state that the kernel falls into the memory-bound region of the Roofline model and is limited by global memory bandwidth.",
"rubric_number": 1,
"rubric_tag": "Analytical R... | |
364cfadc-3764-4ffd-a2c2-2688ae800950 | 10,447 | global | I am a data development engineer and have recently been responsible for maintaining a user data pipeline. In this pipeline, user registration data is written to MongoDB (the `users` collection). The `created_at` field is provided by the frontend in the format "2026-01-06 10:30:00" (without any timezone information), and the backend converts it into a Date object using `new Date(str)` before storing it.
The backend server runs in the UTC-5 timezone. Every day at 06:00 UTC, an ETL job automatically synchronizes data from MongoDB into the Impala `dim_users` table. The partition field is defined as `dt = DATE(created_at)`, and users with `status = 'deleted'` are excluded from synchronization. User behavior events are written into the `user_events` index in Elasticsearch, where the `timestamp` field stores a Unix timestamp in milliseconds, and the `user_id` field stores `MongoDB _id.toString()`.
Now, the product manager reports that the data for January 6 does not match across systems: BI (Impala) shows 1,247 users, MongoDB shows 1,302 users, and Elasticsearch shows 1,180 users.
I have conducted some preliminary analysis and found the following facts: about 90% of users are in the UTC-5 timezone and are active between 09:00 and 22:00 local time; registrations between 00:00 and 05:00 account for approximately 3% of the total; about 8% of newly registered users have no behavior events on the same day; MongoDB `_id` is of type ObjectId; and on January 6, 23 users were soft-deleted.
Can you help me write a discrepancy analysis report for the product manager? I would like you to explain the reasons for the data discrepancies across different databases separately, and also point out any other potential issues that may still exist. The report should also include remediation plans, with the requirement that after the fixes, queries for the same day return consistent results across all three data sources. Do not ask follow-up questions; answer directly. | {
"time_sensitivity": {
"day": "6",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "2026-01"
},
"topics": [
"Industry",
"Databases and Data Engineering",
"Databases and Data Engineering"
]
} | [
{
"rubric_detail": "The report explicitly states that the number of soft-deleted users is 23.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 7
},
{
"rubric_detail": "Based on MongoDB’s total user count of 1,302, the answer correctly calculates that approximately ... | |
deabcd1e-64ae-4659-82ac-646b517cdfc2 | 10,631 | global | Given a non-empty integer array `nums`, where each element can be any integer, and the array may contain one or multiple elements, fully decompose and regroup every digit of every number in the array, and concatenate them to form the smallest possible integer, subject to all the following rules:
[1] Every digit of every number in the array must be used exactly once—no more and no less. For example, -123 is decomposed into [-1, 2, 3], 0 is decomposed into [0], and 44 is decomposed into [4, 4].
[2] For the decomposition of each number, the negative sign of a negative number can only be placed immediately before the most significant digit. For example, -78 can only be decomposed into [-7, 8].
[3] The concatenated integer must not have a leading zero. For example, the result cannot be 012. If all digits are 0, the final result is 0.
[4] The concatenated integer must be valid. If it cannot be formed according to the requirements, return the reason directly. What constitutes an impossible case is left for you to determine.
If it can be formed, return the smallest integer found as a string.
Note: Optimize for the best possible complexity.
Requirements:
First, describe your approach in natural language, covering all cases, and provide the time and space complexity.
Then, provide a Python code example that follows coding conventions and uses paragraph comments only.
Finally, provide test cases that fully cover all types of scenarios. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Backend Development",
"Backend Development"
]
} | [
{
"rubric_detail": "The code section uses line-level comments (# comments), violating the requirement that only paragraph comments are allowed.",
"rubric_number": 1,
"rubric_tag": "Structure and Formatting",
"rubric_weight": -10
},
{
"rubric_detail": "The answer is organized in the order of:... | |
c68fc03a-3fdc-4cca-824f-f14db3730027 | 10,704 | global | I am a graduate student in the Department of Road and Bridge Engineering, currently participating in professional practice to design a concrete mix proportion for a project. While learning concrete mix design methods, my supervisor explained the specific surface area method. However, preliminary tests indicated issues with the mix proportion designed using this method; the state of the prepared concrete was relatively poor (flowability, water retention, and cohesiveness did not meet construction requirements). Preliminary analysis suggests that this method is too outdated to adapt to the rapid development of concrete technology. Please help me analyze the specific reasons for the failure of this method and the resulting significant errors. What errors will occur? What are the reasons?
My supervisor believes the reasons for the method's failure may lie in changes across the following three aspects:
1. Differences in the components and content of concrete in different periods;
2. Continuous expansion of concrete application fields and advancements in construction technology;
3. Improvements in concrete workability, mechanical properties, and durability.
Please answer two questions based on the hints provided by the supervisor:
1. What errors will the old method produce (specifically referring to the mix proportion and the state of the initially mixed concrete)?
2. The underlying reasons (in conjunction with the supervisor's hints).
regarding the logic of the answer, please first explain the specific surface area method and its principles, then explain the errors, followed by the reasons, and finally recommend other effective methods for designing concrete mix proportions. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Civil Engineering",
"Civil Engineering"
]
} | [
{
"rubric_detail": "The answer explicitly identifies the specific surface area values of modern cement and explains that cement fineness has changed, increasing from less than 300 m²/kg in the past to the current 330~350 m²/kg (for 42.5 cement) or exceeding 380 m²/kg (for 52.5 cement).",
"rubric_number": 1,... | |
0d785b81-fc88-438c-964b-e4c8256f9f42 | 10,724 | global | I am a graduate student at Beijing Institute of Technology. My current research focuses on solid electrolytes for sodium-ion batteries, mainly the sodium superionic solid electrolyte NZSP. The core issues to address are low ionic conductivity and the wettability between the electrolyte and the metal electrode. I intend to design an experimental scheme. My initial idea is to replace NHSP with NZSP for surface modification experiments based on the following reference; however, due to laboratory limitations, I cannot use screen printing. Our lab only has ball milling and heating equipment.
My questions are: 1) Please analyze the feasibility of this substitution and the relevant principles; 2) Design a reasonable scheme based on the available equipment, using solid-state sintering to prepare NZSP, and include the necessary parameters.
Reference: NiO powder and NHSP powder were ball-milled with ethanol as the dispersant in a mass ratio of 3:7 for 24 h. The mixture was blown dry and ground into powder, then the mixed powder was combined with the organic carrier in a mass ratio of 3:7; the organic carrier consisted of terpineol and ethyl cellulose at a mass ratio of 9:1. The mixed slurry was stirred on a magnetic stirrer for 48 h. The mixed slurry was coated onto the NHSP electrolyte surface by screen printing, and then the electrolyte was sintered at high temperature at 1200 °C for 3 h with a heating rate of 3 °C/min. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Chemical Engineering and Materials",
"Chemical Engineering and Materials"
]
} | [
{
"rubric_detail": "Both NZSP and NHSP electrolytes belong to the NASICON-type (sodium superionic conductor) crystal structure.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 8
},
{
"rubric_detail": "The microstructure of NZSP consists of PO4/SiO4 tetrahedra and ... | |
8276aec4-036f-459b-8770-2f15f693edd2 | 10,767 | global | Graph Neural Networks (GNNs) are a class of machine learning methods that take graph structure into account. One of the most classic algorithms is the Graph Convolutional Network (GCN). This GitHub repository (https://github.com/iDC-NEU/iDC-MlSys_interview) contains an unoptimized GCN implementation written in C++. I am currently training it in a CPU–GPU heterogeneous environment, and I need you to perform performance optimizations by reviewing the code in that repository. Please note that you only need to propose optimization ideas; you do NOT need to write concrete code.
Your tasks:
1. Step 1: Provide general optimizations that are useful for both CPU and GPU.
2. Step 2: Provide CPU-side optimizations tailored to Intel CPU characteristics.
3. Step 3: Provide performance optimizations tailored to NVIDIA A-series GPUs.
4. Step 4: Provide optimizations for distributed settings.
Please follow these instructions:
1. Reiterating: you only need to propose optimization ideas; you do NOT need to write concrete code.
2. You must optimize under all four scenarios above.
3. Do not attempt to use mature external machine learning libraries; you may only use solutions achievable with basic built-in libraries.
4. After the optimizations, provide a theoretical performance analysis.
The core code is as follows; you may access the webpage to obtain the full code.
#include <stdio.h>
#include <vector>
#include <fstream>
#include <sstream>
#include <math.h>
#include <string.h>
#include <omp.h>
#include <iostream>
#include <iomanip>
#include <chrono>
using namespace std;
typedef std::chrono::time_point<std::chrono::steady_clock> TimePoint;
int v_num = 0;
int e_num = 0;
int F0 = 0, F1 = 0, F2 = 0;
vector<vector<int>> edge_index;
vector<vector<float>> edge_val;
vector<int> degree;
vector<int> raw_graph;
float *X0, *W1, *W2, *X1, *X1_inter, *X2, *X2_inter;
void readGraph(char *fname)
{
ifstream infile(fname);
int source;
int end;
infile >> v_num >> e_num;
// raw_graph.resize(e_num * 2);
while (!infile.eof())
{
infile >> source >> end;
if (infile.peek() == EOF)
break;
raw_graph.push_back(source);
raw_graph.push_back(end);
}
}
void raw_graph_to_AdjacencyList()
{
int src;
int dst;
edge_index.resize(v_num);
edge_val.resize(v_num);
degree.resize(v_num, 0);
for (int i = 0; i < raw_graph.size() / 2; i++)
{
src = raw_graph[2*i];
dst = raw_graph[2*i + 1];
edge_index[dst].push_back(src);
degree[src]++;
}
}
void edgeNormalization()
{
for (int i = 0; i < v_num; i++)
{
for (int j = 0; j < edge_index[i].size(); j++)
{
float val = 1 / sqrt(degree[i]) / sqrt(degree[edge_index[i][j]]);
edge_val[i].push_back(val);
}
}
}
void readFloat(char *fname, float *&dst, int num)
{
dst = (float *)malloc(num * sizeof(float));
FILE *fp = fopen(fname, "rb");
fread(dst, num * sizeof(float), 1, fp);
fclose(fp);
}
void initFloat(float *&dst, int num)
{
dst = (float *)malloc(num * sizeof(float));
memset(dst, 0, num * sizeof(float));
}
void XW(int in_dim, int out_dim, float *in_X, float *out_X, float *W)
{
float(*tmp_in_X)[in_dim] = (float(*)[in_dim])in_X;
float(*tmp_out_X)[out_dim] = (float(*)[out_dim])out_X;
float(*tmp_W)[out_dim] = (float(*)[out_dim])W;
for (int i = 0; i < v_num; i++)
{
for (int j = 0; j < out_dim; j++)
{
for (int k = 0; k < in_dim; k++)
{
tmp_out_X[i][j] += tmp_in_X[i][k] * tmp_W[k][j];
}
}
}
}
void AX(int dim, float *in_X, float *out_X)
{
float(*tmp_in_X)[dim] = (float(*)[dim])in_X;
float(*tmp_out_X)[dim] = (float(*)[dim])out_X;
for (int i = 0; i < v_num; i++)
{
vector<int> &nlist = edge_index[i];
for (int j = 0; j < nlist.size(); j++)
{
int nbr = nlist[j];
for (int k = 0; k < dim; k++)
{
tmp_out_X[i][k] += tmp_in_X[nbr][k] * edge_val[i][j];
}
}
}
}
void ReLU(int dim, float *X)
{
for (int i = 0; i < v_num * dim; i++)
if (X[i] < 0)
X[i] = 0;
}
void LogSoftmax(int dim, float *X)
{
float(*tmp_X)[dim] = (float(*)[dim])X;
for (int i = 0; i < v_num; i++)
{
float max = tmp_X[i][0];
for (int j = 1; j < dim; j++)
{
if (tmp_X[i][j] > max)
max = tmp_X[i][j];
}
float sum = 0;
for (int j = 0; j < dim; j++)
{
sum += exp(tmp_X[i][j] - max);
}
sum = log(sum);
for (int j = 0; j < dim; j++)
{
tmp_X[i][j] = tmp_X[i][j] - max - sum;
}
}
}
float MaxRowSum(float *X, int dim)
{
float(*tmp_X)[dim] = (float(*)[dim])X;
float max = -__FLT_MAX__;
for (int i = 0; i < v_num; i++)
{
float sum = 0;
for (int j = 0; j < dim; j++)
{
sum += tmp_X[i][j];
}
if (sum > max)
max = sum;
}
return max;
}
void freeFloats()
{
free(X0);
free(W1);
free(W2);
free(X1);
free(X2);
free(X1_inter);
free(X2_inter);
}
void somePreprocessing()
{
//The graph will be transformed into adjacency list ,you can use other data structure such as CSR
raw_graph_to_AdjacencyList();
}
int main(int argc, char **argv)
{
// Do NOT count the time of reading files, malloc, and memset
F0 = atoi(argv[1]);
F1 = atoi(argv[2]);
F2 = atoi(argv[3]);
readGraph(argv[4]);
readFloat(argv[5], X0, v_num * F0);
readFloat(argv[6], W1, F0 * F1);
readFloat(argv[7], W2, F1 * F2);
initFloat(X1, v_num * F1);
initFloat(X1_inter, v_num * F1);
initFloat(X2, v_num * F2);
initFloat(X2_inter, v_num * F2);
// Time point at the start of the computation
TimePoint start = chrono::steady_clock::now();
// Preprocessing time should be included
TimePoint prepross_start = chrono::steady_clock::now();
somePreprocessing();
TimePoint prepross_end = chrono::steady_clock::now();
chrono::duration<double> prepross_ = prepross_end - prepross_start;
double prepross_time = prepross_.count() * 1e3;
printf("prepross_time: %.8lf\n", prepross_time);
TimePoint edgeNorm_start = chrono::steady_clock::now();
edgeNormalization();
TimePoint edgeNorm_end = chrono::steady_clock::now();
chrono::duration<double> edgeNorm_ = edgeNorm_end - edgeNorm_start;
double edgeNorm_time = edgeNorm_.count() * 1e3;
printf("edgeNorm_time: %.8lf\n", edgeNorm_time);
// printf("Layer1 XW\n");
TimePoint XW1_start = chrono::steady_clock::now();
XW(F0, F1, X0, X1_inter, W1);
TimePoint XW1_end = chrono::steady_clock::now();
chrono::duration<double> XW1_ = XW1_end - XW1_start;
double XW1_time = XW1_.count() * 1e3;
printf("XW1_time: %.8lf\n", XW1_time);
// printf("Layer1 AX\n");
TimePoint AX1_start = chrono::steady_clock::now();
AX(F1, X1_inter, X1);
TimePoint AX1_end = chrono::steady_clock::now();
chrono::duration<double> AX1_ = AX1_end - AX1_start;
double AX1_time = AX1_.count() * 1e3;
printf("AX1_time: %.8lf\n", AX1_time);
// printf("Layer1 ReLU\n");
TimePoint ReLU_start = chrono::steady_clock::now();
ReLU(F1, X1);
TimePoint ReLU_end = chrono::steady_clock::now();
chrono::duration<double> ReLU_ = ReLU_end - ReLU_start;
double ReLU_time = ReLU_.count() * 1e3;
printf("ReLU_time: %.8lf\n", ReLU_time);
// printf("Layer2 XW\n");
TimePoint XW2_start = chrono::steady_clock::now();
XW(F1, F2, X1, X2_inter, W2);
TimePoint XW2_end = chrono::steady_clock::now();
chrono::duration<double> XW2_ = XW2_end - XW2_start;
double XW2_time = XW2_.count() * 1e3;
printf("XW2_time: %.8lf\n", XW2_time);
// printf("Layer2 AX\n");
TimePoint AX2_start = chrono::steady_clock::now();
AX(F2, X2_inter, X2);
TimePoint AX2_end = chrono::steady_clock::now();
chrono::duration<double> AX2_ = AX2_end - AX2_start;
double AX2_time = AX2_.count() * 1e3;
printf("AX2_time: %.8lf\n", AX2_time);
// printf("Layer2 LogSoftmax\n");
TimePoint LogSoftmax_start = chrono::steady_clock::now();
LogSoftmax(F2, X2);
TimePoint LogSoftmax_end = chrono::steady_clock::now();
chrono::duration<double> LogSoftmax_ = LogSoftmax_end - LogSoftmax_start;
double LogSoftmax_time = LogSoftmax_.count() * 1e3;
printf("LogSoftmax_time: %.8lf\n", LogSoftmax_time);
// You need to compute the max row sum for result verification
TimePoint max_sum_start = chrono::steady_clock::now();
float max_sum = MaxRowSum(X2, F2);
TimePoint max_sum_end = chrono::steady_clock::now();
chrono::duration<double> max_sum_ = max_sum_end - max_sum_start;
double max_sum_time = max_sum_.count() * 1e3;
printf("max_sum_time: %.8lf\n", max_sum_time);
// Time point at the end of the computation
TimePoint end = chrono::steady_clock::now();
chrono::duration<double> l_durationSec = end - start;
double l_timeMs = l_durationSec.count() * 1e3;
// Finally, the max row sum and the computing time
// should be print to the terminal in the following format
printf("%.8f\n", max_sum);
printf("total time: %.8lf\n\n", l_timeMs);
// Remember to free your allocated memory
freeFloats();
}
Do not ask follow-up questions; answer directly. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Machine Learning",
"Machine Learning"
]
} | [
{
"rubric_detail": "The model suggests converting the graph storage structure from an adjacency list or adjacency matrix to CSR (Compressed Sparse Row) or CSC format.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 4
},
{
"rubric_detail": "The model analyzes two b... | |
d6357459-83e7-4bb6-8cbd-d2ff97c46a2f | 10,838 | global | For a residential project in Sichuan Province, the above-ground portion consists of Class II high-rise residential buildings, and the basement is a single underground level, with the first basement level (B1) serving as a motor-vehicle garage and equipment rooms. Where the basement motor-vehicle garage is divided into multiple fire units within the same fire compartment, how should the number of evacuation doors provided in the fire partition walls between these units be determined, and how should their egress direction be defined? According to the Technical Standard for Distributed Charging Facilities for Electric Vehicles (GB/T 51313-2018), Clause 6.1.5(4): "When intercommunicating doors need to be provided in fire partition walls, fire doors with a fire resistance rating of not less than Class B shall be used," which explicitly addresses interconnecting doors. However, because a single fire compartment may be subdivided into several fire units and some fire units do not contain evacuation stairwells, it is necessary to provide connecting doors in the fire partition walls of a fire unit leading to adjacent fire units in order to reach safety exits. In this situation, how should the evacuation doors on the fire partition walls of the fire units be configured, and how should the egress direction be determined? Please provide an answer with detailed reasoning. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Industry",
"Architectural Design",
"Architectural Design"
]
} | [
{
"rubric_detail": "Cite Item 4 of Article 7.1.1 of the \"Points for Technical Review of Fire Protection Design of Housing Construction Projects in Sichuan Province\" (2025 Edition) as the primary basis:\n\"The area of each charging vehicle fire unit in the basement shall not exceed 1000 m². Each fire unit shal... | |
44b07f0a-d6c2-4b74-bfdd-2c7b5a87e1c7 | 10,854 | global | Assume you are a researcher working on agricultural robotics and are designing a robotic manipulator capable of operating efficiently in greenhouse tomato pollination and harvesting tasks. However, you encounter difficulties during path planning for the manipulator:
1. Joint-space planning methods (such as RRT, RRT*, and their variants) are efficient at exploring high-dimensional spaces, but they perform poorly in narrow environments, exhibiting weak obstacle-avoidance capability and unstable paths.
2. Cartesian-space planning can achieve precise obstacle avoidance, but inverse kinematics solving often falls into singularities or produces unreachable solutions, especially in scenes with flexible obstacles (such as tomato leaves), resulting in a very high planning failure rate.
You are now asked to write a complete research proposal whose goal is to enable the robotic arm to achieve highly reachable and highly feasible path planning for target flowers or fruits in complex greenhouse environments.
The proposal must include the following components:
1. Specific modeling approaches;
2. Feasible path planning strategies;
3. A complete, reproducible pipeline and experimental design. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Systems / Embedded / 3D Rendering",
"Systems / Embedded / 3D Rendering"
]
} | [
{
"rubric_detail": "Explicitly proposes a Relaxed-IK inverse kinematics strategy.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 6
},
{
"rubric_detail": "The proposal clearly distinguishes task targets (e.g., tomato fruits, flowers) from environmental obstacles (... | |
ee809a60-d4e2-4514-a3b5-175eb591f21e | 10,904 | global | ```js
const logs = [];
const log = (msg) => logs.push(msg);
const buffer = new Proxy(
{ val: 0 },
{
set(target, prop, value) {
log(`B:Set:${value}`);
target[prop] = value;
return true;
},
}
);
const scheduler = {
then: (resolve) => {
log("Sched:Then");
Promise.resolve().then(() => {
log("Sched:Internal");
queueMicrotask(() => {
log("Sched:Resolve");
resolve("Go");
});
});
},
};
async function* streamProcessor(name) {
log(`P:${name}:Start`);
const signal = await scheduler;
log(`P:${name}:Signal:${signal}`);
let current = buffer.val;
yield current;
buffer.val = current + 10;
log(`P:${name}:End`);
}
log("Global:Init");
const procA = streamProcessor("A");
const p1 = procA.next();
Promise.resolve()
.then(() => {
log("Inter:1");
buffer.val = 50;
return "Inter:Result";
})
.then((res) => {
log(`Inter:2:${res}`);
});
const procB = streamProcessor("B");
const p2 = procB.next();
log("Global:End");
// Final output is observed externally
setTimeout(() => console.log(logs), 0);
```
Read the code above and answer the following questions:
1. Write out the complete sequence of `logs`.
2. During the execution lifecycle of the current script, will `P:A:End` be printed? Explain why.
3. After `p1` finishes resolving, what is the exact value of the internal `value` property? Analyze whether this value is affected by `Inter:1`.
4. Explain why `Inter:2:Inter:Result` is printed before the first `Sched:Resolve`. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Frontend Development",
"Frontend Development"
]
} | [
{
"rubric_detail": "Correctly identifies that the object being awaited (`scheduler`) is not a native Promise but a Thenable object, and that its `then` method invocation is wrapped into a microtask rather than being executed synchronously.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
... | |
fd1f36d1-c29a-4077-91f4-b0d23cb38f5b | 10,915 | global | The binary-to-ternary switching of organic electrochemical transistors has always been a relatively complex engineering task. Studies have found that this switching can also be achieved by using near-infrared light. Please elaborate in detail how near-infrared light can be utilized, via the light–ion–electron coupling pathway, to ingeniously induce ions in an electrochemical transistor to give rise to a negative differential transconductance phenomenon, and how binary-to-ternary switching is realized based on this principle.
1. Describe the physical mechanisms involved in this process, the key materials, and the control methods.
2. Describe the future application prospects of this light-controlled reconfigurability for information processing.
3. Describe, in stages, the specific process of the light-induced redox reactions, and explain why this phenomenon can only be observed under near-infrared illumination and in the presence of the specified electrolyte. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Semiconductors",
"Semiconductors"
]
} | [
{
"rubric_detail": "The stage of cooperative doping by ions and photogenerated holes involves the migration of I− ions dissolved in the electrolyte into the polymer channel.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 10
},
{
"rubric_detail": "The increase of ... | |
fad912f4-b576-4cd0-b659-9530ee97ade2 | 10,919 | global | There is a modeling process for a mechanical part as follows:
I. Process of generating volume
Create an isosceles trapezoid, referred to as the initial trapezoid.
Its lower base has a length of 90mm, and its upper base has a length of 30mm. Each leg forms an angle of 45 degrees with the lower base. Extrude this trapezoid by 10mm in the direction normal to its plane.
In the plane of this trapezoid, the lower base of the trapezoid and an edge of length 15mm, located outside the initial trapezoid, form a rectangle.
Extrude this rectangle by 68mm in the same direction as the previous trapezoid extrusion to form a rectangular block e.
The face of rectangular block e with the largest area that does not contact the initial trapezoid is designated as plane E.
The upper base of the initial trapezoid and an edge of length 15mm located outside the initial trapezoid form a rectangle, also lying in the plane of the initial trapezoid.
Extrude this rectangle by 34mm in the same direction as the above two extrusions to form rectangular block f.
In the solid generated solely by the overall extrusion of the isosceles trapezoid, there is a plane containing the two longest edges of this solid; this plane is designated as plane A.
Create a new plane B at a distance of 5mm from plane A.
In the solid formed by extruding the isosceles trapezoid, the face with the smallest area is designated as plane C.
The distance from plane B to plane C is greater than the distance from plane A to plane C.
On plane B there is a rectangle of length 126mm and width 24mm, and two semicircles.
The diameter edges of the two semicircles coincide with the two short sides of the rectangle.
The rectangle and the two semicircles on plane B are taken together and extruded in the direction perpendicular to the above three extrusion directions, until they reach plane E.
The line connecting the centers of the two semicircles is parallel to the lower base of the initial trapezoid, and this line is at a distance of 34mm from the plane of the initial trapezoid.
The centers of the two semicircles are symmetric with respect to a plane that passes through the midpoint of the lower base of the initial trapezoid and is perpendicular to the plane of the initial trapezoid.
II. Process of removing volume
On rectangular block f, the face with the largest area that does not contact the initial trapezoid is designated as face F.
Among the faces of rectangular block f that are parallel to the initial trapezoid, the one farthest from the initial trapezoid is designated as face G.
At the midpoint of the intersection line between face F and face G, create a point. Using this point as the center, draw on face F a circle with a radius of 16mm.
Extrude this circle by 6mm in both directions normal to its plane, and remove all the volume swept by the extrusion.
The face of rectangular block f that is parallel to face F is designated as face H.
Using the midpoint of the intersection line between faces H and G as the center, draw on face H a circle with a radius of 8mm.
Extrude this circle by 9mm in both directions normal to its plane, and remove all the volume swept by the extrusion.
At each of the only two circle centers on plane B, draw on plane B a circle with a diameter of 12mm.
Extrude each circle by 10mm in both directions normal to its plane, and remove all the volume swept by the extrusion.
Compute the theoretical volume of this part.
At present, this part is still in a state where all curved surfaces and holes are absent. Curved surfaces, holes (drilling), and surface roughness must be machined.
After final machining, every face of the part shall be assigned a non-negative integer number, starting from 1.
The material of the part is 45 steel.
Only purely mechanical fixtures may be used, with no other auxiliary materials. At least three pairs of parallel clamping faces shall be used.
For the finished part, the surface-roughness requirement for all faces parallel to plane B and for all curved surfaces is Ra0.8.
Design a machining process plan, clearly specifying the clamping position and the cutting tools used at each operation. Present the sequence of operations in tabular form.
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Machinery and Automation",
"Machinery and Automation"
]
} | [
{
"rubric_detail": "The theoretical volume of the final finished part obtained by the model is 132684.424mm³ (a very small error is allowed, but the result must be close to the reference value).",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 10
},
{
"rubric_deta... | |
54246069-1446-41a1-8d17-89a0e5c52dc0 | 11,071 | global | I am conducting research on dissimilar metal resistance spot welding (RSW), utilizing aluminum alloy and low alloy steel as the study materials. The objective is to investigate the evolution of internal mechanisms and the nugget formation process during resistance spot welding. The experimental conditions are as follows: the thicknesses of the aluminum alloy and low alloy steel are 1.5 mm and 1 mm, respectively; the low alloy steel sheet is positioned on top, with the aluminum alloy sheet at the bottom, arranged in a lap configuration. The upper electrode cap has a diameter of 6 mm, while the lower electrode cap has a diameter of 16 mm. The equipment employed is an MFDC resistance spot welder. Please analyze the temporal evolution of the internal temperature of the welded joint, the nugget formation process, and its shape and location when welding is performed under appropriate welding parameters. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Materials",
"Materials"
]
} | [
{
"rubric_detail": "During the initial stage of welding, the region of high current density on the low alloy steel side shifts from the electrode-to-steel contact edge to the center of the steel sheet.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 10
},
{
"rubr... | |
f0bc2660-fdb2-4e05-9766-e8db285d52e2 | 11,913 | global | In Chengdu, the ground floor of a detached residence features a south-facing open courtyard measuring 4 square meters (2 m × 2 m) adjacent to the living room. The owner plans to enclose this space to convert it into a sunroom with basic natural ventilation; all requisite planning permissions and property management approvals have been obtained. Based on climate adaptability requirements specific to the Chengdu region and appropriate building envelope system selection, please provide a scientific estimate of the reasonable range of direct construction and installation costs for this sunroom. In addition, explain the applicable technical standards, material performance specifications, and the cost rationale employed. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Strongly time-sensitive",
"year_month": "NA"
},
"topics": [
"Industry",
"Architectural Design",
"Architectural Design"
]
} | [
{
"rubric_detail": "The response cites specific climatic parameters for the Chengdu region, such as annual average sunshine duration of 1,000–1,400 hours or an annual average humidity exceeding 70%.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 8
},
{
"rubric_de... | |
58a83321-05c2-4d66-86d0-1fbca0dc4741 | 11,917 | global | An existing residential unit in Shanghai is located on the 5th floor. A square exterior window is set on its south façade, with a clear area of 2.0 m² (window width approximately 1.41 m, height approximately 1.41 m). The window sill height is 0.6 m above the interior finished floor level. The room exhibits a pronounced overheating problem from summer afternoons to evenings; measured indoor operative temperatures frequently exceed 30℃, impairing thermal comfort. The external façade of the building follows a uniform community style, and the property management imposes strict control on the material, colour and projection depth of any additional components:
The shading device shall not project more than 300 mm beyond the plane of the exterior wall;
High-reflectance or mirror-finish materials shall not be used;
Adjustable or passive low-maintenance constructions shall be given priority;
The existing window frame structure shall not be damaged, nor shall the function of the window as a fire-fighting and rescue opening be impaired.
Taking into account the characteristics of Shanghai’s hot-summer/cold-winter climate zone, solar radiation patterns, and the orientation, height and usage scenario of this window, propose one or more shading optimisation schemes that are technically sound, economically feasible and compliant with the management constraints, and describe in detail the design principles, key parameters (such as shading panel inclination angle, projection depth, material properties, etc.) and the expected improvement in the thermal environment. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Architectural Design",
"Architectural design"
]
} | [
{
"rubric_detail": "The answer explicitly identifies Shanghai as belonging to the hot-summer/cold-winter climate zone and provides corresponding parameters: summer daily peak solar radiation can reach 800–900 W/m².",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 8
},
... | |
5e785915-8448-461e-b663-9a8c9c777c4b | 11,975 | global | Sodium metal batteries are currently a hot research topic, and studies have found that the mixed-solvation electrolyte strategy may be beneficial for improving the performance of sodium metal batteries. Please answer:
1. What is the core design concept of mixed-solvation electrolytes, and explain the respective roles and synergistic mechanisms of strong solvents and weak solvents in the mixed system.
2. How can this technology simultaneously address the two major challenges of dendrite growth and interfacial stability.
3. Compared with conventional single-solvent systems, what advantages does the mixed-solvation strategy exhibit in terms of electrochemical performance, and in what aspects is its universality reflected. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Chemical Engineering and Materials",
"Chemical Engineering and Materials"
]
} | [
{
"rubric_detail": "The core design concept of mixed-solvation electrolytes for sodium batteries is clearly defined as achieving a balance between bulk-phase ion transport and electrode interfacial stability through the rational ratio of strong and weak solvents.",
"rubric_number": 1,
"rubric_tag": "Fac... | |
89055e11-d0a5-4e7b-8d15-e1002f4cae54 | 1,238 | global | Background: You are a physical-layer systems engineer at a leading telecommunications equipment manufacturer. You are responsible for optimizing a 5G macro-cell gNB deployment in an Urban Dense area. The environment features high-rise buildings, uneven user distribution, and extensive reflections and blockages—i.e., a typical mixed scenario combining non-line-of-sight (NLOS) propagation and high mobility.
Challenge: To improve cell-edge throughput and overall spectral efficiency in inter-cell interference (ICI)-limited regions, the network planning team proposes introducing dynamic TDD (Time Division Duplexing) in the time domain and CSI (Channel State Information)-based beamforming optimization in the spatial domain. Based on your understanding of the 5G NR physical-layer specifications in 3GPP Release 15/16, design and justify a coordinated uplink/downlink dynamic resource allocation scheme (for URLLC and/or eMBB). Your response should address:
- Dynamic TDD configuration strategy: Explain in detail how dynamic TDD enables flexible UL/DL scheduling, and the specific mechanisms by which it addresses UL/DL load imbalance and mitigates inter-cell interference in urban dense deployments (e.g., DL-to-UL cross-link interference).
- Beamforming and CSI feedback: Explain how Type II CSI (e.g., aperiodic / semi-persistent CSI-RS) can be used to track the channel with high accuracy, and design a physical-layer operational workflow that jointly maximizes beamforming gain and suppresses interference.
- Latency and reliability analysis: Quantitatively analyze (or provide a rigorous qualitative argument for) the impact of the joint scheme on key URLLC KPIs—ultra-low latency (e.g., <1 ms) and ultra-high reliability (e.g., BLER ≤ 0.001%)—and the corresponding optimization measures. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "Signaling details for dynamic-TDD CLI coordination: the answer must accurately state which DCI format (e.g., DCI 2_0) carries the Slot Format Indicator (SFI), and explicitly note that SFI configures Flexible symbols at symbol-level granularity.",
"rubric_number": 1,
"rubric_tag": "An... | |
71f76252-1db0-41f8-93bf-338a89f17341 | 1,246 | global | You are a wireless network optimization expert. On February 3rd, in the Hospital South Gate Building 1, Cell -2, the 'no call drop' voice call proportion is 97.6%, which is abnormal; the 'smooth playback' short video service proportion is 97.17%, which is abnormal. The KPI status is as follows:
1) Number of 5G call drops = 10
2) Call drop rate = 2.4%
3) RTT downlink latency (ms) = 380 ms
Detailed cell-level KPIs have been extracted and are provided to you. Please perform a detailed analysis of where the problems lie and how to optimize them. The optimization recommendations must include specific optimization measures. For parameter settings, a detailed parameter configuration procedure and parameter setting script generation process must be provided. The detailed situation is as follows:
1. Coverage-related KPI results:
(1) Weak coverage ratio (RSRP <= -110 ratio) = 0.59%
(2) Total timing advance (tadv) sampling points = 116048
(3) Overshooting coverage sampling points = 413
(4) Overshooting coverage ratio = 0.36%
(5) Near-coverage sampling points = 23533
(6) Near-coverage ratio = 20.28% (reasonable range 0–20%)
2. Interference-related KPI results:
(1) Average interference-plus-noise power per PRB (dBm) = -95 dBm.
(2) Hourly interference-plus-noise power per PRB (dBm) = -96 dBm (busiest hour within 24 hours), 5G traffic (5G uplink traffic + 5G downlink traffic) = 77.34 Gb, occurring at 15:00.
(3) Hourly interference-plus-noise power per PRB (dBm) = -110 dBm (least busy hour within 24 hours), 5G traffic (5G uplink traffic + 5G downlink traffic) = 0.92 Gb, occurring at 04:00.
(4) Uplink interference type = None
3. Capacity-related KPI results:
(1) Uplink PRB utilization = 87%, occurring at 18:00, abnormal (maximum value over the 24 hours network-wide)
(2) Downlink PRB utilization = 93%, occurring at 17:00, abnormal (maximum value over the 24 hours network-wide)
(3) ARFCN = 384000
(4) Average number of 5G users = 140
(5) 5G traffic (5G uplink traffic + 5G downlink traffic) = 708.48 Gb
(6) China Unicom total traffic (Unicom uplink traffic + Unicom downlink traffic) = 287.86 Gb
4. Handover-related KPI results:
(1) 5G intra-system handover success rate = 98.82%
(2) 5G intra-system handover success rate_Unicom users = 98.97%
(3) 5G inter-system handover success rate = 99.35%
(4) 5G inter-system handover success rate_Unicom users = 99.4%
(5) Intra-frequency handover success rate = 98.93%
(6) Intra-frequency handover success rate_Unicom users = 99.14%
(7) Inter-frequency handover success rate = 97.34%
(8) Inter-frequency handover success rate_Unicom users = 96.71%
(9) Intra-frequency handover outgoing request count (times) = 214311
(10) Intra-frequency handover outgoing request count_Unicom users (times) = 78085
(11) Intra-frequency handover outgoing success count (times) = 212022
(12) Intra-frequency handover outgoing success count_Unicom users (times) = 77411
(13) Inter-frequency handover outgoing request count (times) = 16413
(14) Inter-frequency handover outgoing request count_Unicom users (times) = 5595
(15) Inter-frequency handover outgoing success count (times) = 15977
(16) Inter-frequency handover outgoing success count_Unicom users (times) = 5411
5. Cell engineering parameter results:
(1) Site height = 15.0 m
(2) Mechanical downtilt = 5.0 degrees, electrical downtilt = 0.0 degrees, azimuth = 180.0 degrees
(3) Cell bandwidth = 100 MHz | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Weakly time-sensitive",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "Capacity issue analysis: PRB utilization exceeding reasonable thresholds leads to resource congestion, scheduling delay, and packet loss.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 8
},
{
"rubric_detail": "Interference control optimizatio... | |
6b4ea30a-e9f1-4a30-a3bc-c6c006354ade | 1,378 | global | You are responsible for urban 5G NSA network optimization at a provincial capital carrier's network optimization center. Business District A is a local high-end commercial area which has received a large volume of user complaints over three consecutive months stating that "the phone displays 5G, but the network speed is slower than 4G." Complaints are concentrated during the evening peak hours (18:00–21:00) and throughout weekends.
The basic wireless network conditions for this area are known as follows:
**Coverage Structure:** The business district is covered by 3 macro sites + several indoor distributed antenna systems (DAS). The macro sites utilize a networking scheme of LTE 1800 MHz (20 MHz) + LTE 2100 MHz (15 MHz) + NR n78 (60 MHz). 5G employs the NSA architecture (EN-DC), with gNB and eNB co-sited.
**Services and Terminals:** The 5G terminal penetration rate in Business District A is > 75%. Services are dominated by video, short video, and cloud office applications. The ARPU is significantly higher than the network-wide average.
**Typical Busy Hour Performance:**
- LTE 1800/2100 cell downlink PRB utilization remains consistently between 85%–95%; average user downlink speed is approximately 8–12 Mbps.
- Within the same coverage area, the NR n78 cell downlink PRB utilization is only 20%–35%; NR traffic share is about 8%.
- Terminal-side MDT/DT data shows: In outdoor areas of the business district, the proportion of grids with NR RSRP > -95 dBm and NR SINR > 10 dB exceeds 70%; in core indoor areas, NR RSRP ranges from -100 to -105 dBm, with SINR mostly between 5–10 dB.
**Typical Signaling and Configuration:**
- In the NSA configuration, the B1 event threshold for LTE → NR EN-DC is configured as: NR_RSRP > -110 dBm, TTT = 320 ms, Hysteresis = 3 dB.
- There is a large overlap in coverage between LTE and NR; LTE downtilt is slightly insufficient, and some macro sites exhibit obvious overshooting.
- The core network side has not restricted access privileges for 5G users, but the operator previously configured 5G priority quite "conservatively" due to concerns about 5G coverage instability.
- Monitoring data also indicates: During the time a large number of 5G terminals stay in Business District A, over 80% of the duration is primarily carried by LTE for data traffic, with NR bearers only briefly activated when users are near windows or in outdoor plazas.
**Problem:**
Please assume the role of a frontline wireless optimization engineer and conduct a systematic analysis revolving around the following three dimensions:
1. **Coverage and Interference Dimension:** Combined with the given RSRP/SINR distributions, determine whether the current 5G coverage constitutes the primary bottleneck. What are the potential issues in the LTE and NR coverage relationship?
2. **Capacity and Scheduling Dimension:** Combined with LTE/NR PRB utilization and NR traffic proportion, deduce the root-cause chain of capacity/bearer issues leading to "having 5G capability but not using 5G" and "5G experience being inferior to 4G."
3. **NSA Parameters and Multi-RAT Coordination Dimension:** Based on configurations such as B1 threshold, TTT, and hysteresis, analyze the impact of the current EN-DC strategy on 5G traffic offloading; point out at least 3 key parameter/strategy issues that may lead to 5G resources being "underutilized."
Based on the above analysis, please propose at least three categories of actionable optimization schemes (e.g., parameter optimization, site type/location and antenna adjustment, spectrum and bearer strategy, etc.), and for each category explain:
- Key adjustment items and their reasonable value ranges or adjustment directions from an engineering perspective;
- Expected benefits and potential side effects or risks;
- Key KPIs/testing methods used to verify optimization effects and acceptance standards. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "The model analyzes the problem from three dimensions: \"Coverage/Interference\", \"Capacity/Bearer\", and \"NSA Parameters/Multi-RAT Coordination\".",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 4
},
{
"rubric_detail": "Explicitly points out... | |
6129a42f-a16c-4a28-8912-c60332e70406 | 1,381 | global | An operator requires the deployment of a 5G SA network in an urban area. Recently, a surge of user complaints was received from a high-end commercial building (8 floors total: 2 underground levels for parking and equipment rooms, 6 above-ground levels for retail, dining, and office areas; total gross floor area approximately 120,000 m²). The reported issues are as follows: 1. Weak 5G signal in the B1 parking area; most zones fail to access the 5G network, and only specific corners can connect with throughput below 1 Mbps. 2. A sharp decline in 5G throughput in the dining areas on floors 3-4 during peak dining hours (12:00-14:00, 18:00-20:00), with slow page loading and video buffering, whereas off-peak throughput is basically normal (approx. 300-500 Mbps). 3. Frequent handovers in parts of the office area, with occasional call drops during voice calls. Within 500 meters of this commercial complex, three macro base stations are deployed: Station A (Band n78, 3.5 GHz, transmit power 46 dBm), Station B (Band n41, 2.6 GHz, transmit power 45 dBm), and Station C (Band n79, 4.9 GHz, transmit power 47 dBm). Inside the building, 12 distributed pico base stations (Band n78, 3.5 GHz, transmit power 30 dBm) are sparsely deployed. Assuming you are a 5G network optimization engineer for this operator, analyze the causes of the three aforementioned issues based on 3GPP 5G network deployment standards. Formulate targeted optimization schemes (specifying optimization steps, technologies and techniques to be employed, and recommendations for adjusting critical parameters), and outline the risks to be avoided during the optimization process along with corresponding countermeasures. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "Accurately identify the three core causes of weak signals on the first basement level (high-frequency penetration loss, insufficient picocell coverage, and metal shielding/blockage in the building).",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 6
... | |
9c2672f2-430f-44cc-823b-2784f3a84a2b | 1,394 | global | You are a senior expert in a metropolitan metro communication network. Recently, Metro Line 2, Line 4, and the control centers of both lines have reported composite communication faults. The phenomena are complex and interrelated, posing a potential risk to operational safety. The faults are concentrated during morning and evening peaks, but some anomalies also manifest differently during off-peak periods.
Fault details and multidimensional data:
I. Transmission network indicators
(1) Line 2 (main ring) performance degradation:
Peak periods: An alarm of VC-12 path signal loss (TU-LOP) is concentrated in the segment between Zhongshan Park Station and Century Avenue Station. The regenerator section bit error rate (RS-BER) in this segment deteriorates from the idle background level of 1.0E-8 to 1.2E-5, exceeding the 1.0E-6 threshold. Bit error performance event analysis reports show that the bit error type is mainly burst errors (Burst Error).
Abnormalities in all-day monitoring: Historical performance data from the network management system (NMS) reveal that the optical path in this segment experiences a high frequency of transient loss of optical power (Transient Loss of Light) events, each with a duration of less than 1 ms, which do not trigger traditional LOS alarms. The occurrence frequency of these events has surged from several times per day one week ago to several times per second at present.
(2) Line 4 (protection ring) pressure-sensitive degradation:
Peak periods: Received optical power (Rx Power) degrades from the baseline of -12 dBm to -22 dBm, accompanied by a surge of approximately 1,500 Ethernet port cyclic redundancy check (CRC) errors per hour.
Contradictory phenomenon: During automated end-to-end performance tests executed at 3:00 a.m. in off-peak business hours, both optical power and bit error rate indicators are completely normal. However, when using the same test script but applying simulated peak traffic load on the link, the optical power degradation and CRC error phenomena can be immediately and stably reproduced.
(3) Delay jitter on control center interconnection channels:
Communication channels between control centers and stations, carried on the Line 2 and Line 4 transmission rings, experience network-layer delay jitter (jitter) of up to ±50 ms during peak periods, which seriously deviates from the normal value (should be < ±5 ms).
II. Service-layer manifestations
(1) Video surveillance system: During peak periods, the average packet loss rate of video streams ranges between 8% and 15%, with severe picture stuttering. In-depth protocol analysis reveals abnormally high-frequency retransmissions of streaming protocol signaling (such as RTSP TEARDOWN) for some cameras during peak periods, indicating that instability in the transport layer has induced frequent reconstruction of TCP/UDP session layers.
(2) TETRA trunked radio system: The voice channel assignment failure rate reaches 6.3% during peak periods (KPI threshold < 1%). Signaling trace analysis locates the key cause: The main reason for failure is not insufficient radio air-interface resources, but the loss or severe delay of periodic link detection packets (such as BFD or Keepalive) between the base station controller (TSC) and the core network switch (DXT). This leads to control-plane misjudgment of peer failures and consequently refusal to allocate traffic channels.
(3) CBTC train control system data backhaul: The signaling system reports that, during the same period, heartbeat packets between the train-to-ground communication wireless access points (APs) of the CBTC network and ground servers experience occasional timeouts during peak periods. Although this has not triggered system protection switching, it has been recorded as a top-level potential risk event.
III. Environment, history, and changes
(1) External environmental risks: In addition to the known municipal construction near Zhongshan Park Station on Line 2, there has also been third-party pipe jacking construction near Sports Center Station on Line 4 one week ago. The two construction contractors are different, and there is an overlapping risk zone between the construction drawings and the metro optical cable routes.
(2) Legacy network configuration issues: Historical operation logs show that, due to an optical cable break one year ago, the westbound and eastbound fiber definitions of the Line 2 MSP ring were temporarily adjusted to restore services quickly. Post-event verification records are incomplete, and there is a potential long-term inconsistency between the logically configured primary route and the physically optimal topology route.
(3) Recent changes and configurations: Three days ago, a line protection switching test of the Line 2 transmission ring was performed, after which the system was not restored to the original primary route in accordance with procedures. Line 4 is undergoing a station Wi‑Fi 6 upgrade; some temporarily connected Ethernet switches have enabled flow control, and the access ports have not been configured with bandwidth rate limiting (rate-limit).
(4) Power and environment: The communication equipment cabinets at Zhongshan Park Station report abnormal temperature rise alarms. UPS logs at this station show several recent short commercial power interruptions of less than 10 ms, during which the equipment was supported by battery power.
IV. Resources and constraints
(1) The daily time window (track possession) available for construction and testing is only 3 hours.
(2) The number of high-precision instruments available for accurately locating transient interruptions (such as optical power meters/OTDRs capable of capturing µs-level events) is limited, and deployment points must be planned scientifically.
(3) Operational safety regulations: Any test operation that may interrupt critical production services such as TETRA or CBTC must be submitted for approval 48 hours in advance and must be accompanied by a certified emergency rollback plan that can achieve instantaneous service restoration.
As a senior expert, systematically complete the following tasks:
(1) Construct a comprehensive fault hypothesis: Propose a unified root-cause hypothesis. This hypothesis must be able to explain, simultaneously and coherently, the spatiotemporal differential characteristics of the transmission-layer manifestations on Line 2 and Line 4 (for example, why the problem on Line 4 appears only under traffic stress).
(2) Explain the differentiated failure modes exhibited by the three different service systems of video, TETRA, and CBTC (packet loss, signaling timeout, heartbeat delay).
(3) Design a precise localization and verification scheme: How can a highly efficient test plan be designed, using limited high-precision instrument resources, to capture and quantitatively prove the transient physical phenomena (such as transient optical interruptions) that trigger the faults?
(4) Under the premise of no network outage and no interruption to critical services, how can it be verified whether the temporary configuration adjustments made one year ago have caused a deviation between the current logical primary route and the physically optimal route, and what the practical impact of this deviation is on MSP protection switching logic?
(5) Formulate phased handling and optimization strategies:
Emergency mitigation phase: Propose a configuration adjustment scheme that can be implemented before the next morning peak, with the lowest risk, in order to give priority to ensuring the stability of TETRA and CBTC services.
Long-term phase: Plan a remediation engineering scheme spanning multiple track possession windows. For each step, specify the operational content, verification methods, and rollback procedures.
(6) System optimization phase: Propose long-term improvement recommendations for network architecture, monitoring capabilities, and O&M processes to enhance network resilience and prevent recurrence of similar complex faults.
(7) Finally, draft an expert report for submission to management: The report shall present the above analyses, schemes, and strategies in a clear and rigorous structure, and accurately assess the technical risk levels, handling priorities, and required resource support, to assist management decision-making. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "Propose a unified root-cause hypothesis: recent independent municipal pipe jacking construction at two locations has caused physical micro-damage to metro optical cables, with vibration-sensitive and temperature/load-sensitive characteristics. During business peak periods, this damage is cas... | |
d6344516-e4f6-42b3-a2a6-f1329ed16dbf | 161 | global | The transfer of plasmon-generated hot carriers in metal/semiconductor heterojunctions has long faced severe energy dissipation. Recent studies have identified an ultrafast non-thermalized electron transfer pathway at the Au/GaN interface. Please address the following: 1. What is ultrafast non-thermalized electron transfer, and how does it differ from conventional hot carrier transfer? 2. How is the non-thermalized nature of electron transfer demonstrated, and what specific characteristics must be observed? 3. How does optical polarization modulation influence electron transfer efficiency and energy distribution? 4. What are the implications of this method for the design of hot carrier devices? | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Semiconductors",
"Semiconductors"
]
} | [
{
"rubric_detail": "Definition of non-thermalized electron transfer: An ultrafast process wherein electrons are injected directly into the semiconductor without undergoing prior thermalization.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 10
},
{
"rubric_detai... | |
dcc3dbb7-0cbb-4f75-ae06-0efbb8987ad0 | 1,650 | global | In an urban HetNet hotspot environment (e.g., a commercial district) utilizing an LTE Band 7 (2.6 GHz) macro cell as the anchor (MCG) and a dense overlay of NR Band n78 (3.5 GHz) small cells as the Secondary Cell Group (SCG), the network faces severe downlink interference. Specifically, at the NR cell edge, low RSRP/RSRQ levels result in reduced SCG addition/change success rates and degraded user throughput.
Design and explain a comprehensive interference management and coordination framework for this scenario, with emphasis on:
- Technical Selection: Identify and justify specific 3GPP-standardized features (e.g., ICIC/eICIC, CoMP, TPC, Rate Matching, Beamforming) most appropriate for this HetNet deployment.
- Coordination Mechanism: Detail how inter-node coordination (via X2/Xn interfaces) mitigates NR cell-edge interference and specify the resulting improvements in key network KPIs. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "Proposes that simultaneous UL transmissions on LTE Band 7 and NR n78 may cause out-of-band emissions exceeding limits due to harmonics or intermodulation products, and explains corresponding UE-side interference management mechanisms such as A-MPR (Additional Maximum Power Reduction).",
... | |
54a18a27-264b-42c7-9762-c030dc97bfe1 | 1,678 | global | Design a 1-to-8 unequal power divider with the following requirements: Operating frequency: 9.3–9.5 GHz. The theoretical distribution (split) losses from Output Port 1 to Output Port 8 are -5.4 dB, -6.0 dB, -7.1 dB, -8.8 dB, -11.3 dB, -14.6 dB, -18.8 dB, and -22.7 dB, respectively. For each branch, the insertion loss excluding the theoretical split loss must be ≤ 1.2 dB. The VSWR at the common port must be ≤ 1.3, and the VSWR at each output port must be ≤ 1.3. The isolation between any two output ports must be ≥ 20 dB. Across branches, the amplitude error must be ≤ 0.5 dB and the phase error must be ≤ 5°.
Output requirements: The common port and the output ports shall be placed on opposite ends of the enclosure; the center-to-center spacing between adjacent output ports shall be 100 mm. With low insertion loss as the primary design objective, propose both a preferred and an alternative implementation approach (e.g., stripline, microstrip, substrate integrated waveguide, suspended stripline, metallic waveguide, etc.). For the preferred and alternative implementations, provide the corresponding topology (e.g., Wilkinson, Gysel, T-junction, etc.). For each stage of both schemes, provide the length, width, transmission-line characteristic impedance, and isolation resistor values. Taking the center point of the common port as the origin, provide the coordinates of the center point of each output port for both schemes. If any requirement cannot be met, explicitly state which item(s) cannot be satisfied and provide necessary recommendations. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "For the preferred scheme, the selected implementation is a low-loss suspended microstripline approach.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 10
},
{
"rubric_detail": "Either the preferred or the alternative scheme adopts a substrate ... | |
36d1050a-72a1-4210-94c8-cd654bc25132 | 1,749 | global | Technological Breakthrough in Blind Adaptive Processing of LFM Radar Signals in Complex Electromagnetic Environments
I. Project Background and Challenges
You are developing a new generation long-range surveillance radar system. Its core mission is to achieve reliable detection and tracking of high-dynamic, low-observability targets over a wide area. The system intends to use a mature LFM waveform regime (12 MHz bandwidth, 110 μs pulse width, 1.5 GHz carrier frequency) as a foundation to ensure sufficient detection range and range resolution. However, according to the latest intelligence assessments and battlefield environment simulations, this system will face unprecedented severe challenges in future deployments. We anticipate that the signal propagation path will no longer be an ideal free space, but rather replete with 3 to 5 dynamically changing strong clutter paths. These paths will introduce significant and rapidly changing time delays (distributed between 0.1-2 μs), attenuation (signal intensity may drop to 30% of the original intensity), and complex Doppler effects (±2 kHz) caused by target or clutter micro-motion. Even more problematic is that the channel consistency is very short, potentially undergoing significant changes within dozens of pulse repetition intervals (approximately 50-100 PRIs). Simultaneously, you must assume the adversary will deploy advanced Electronic Countermeasures (ECM). This includes "Deception Jamming" capable of precisely mimicking your signal's frequency modulation rate (the difference in FM slope from our real signal may be as low as 5%), and "Smart Noise Jamming" capable of rapidly tracking our signal spectrum for blocking. To make matters worse, this technological breakthrough must be based on an existing, finalized hardware platform. The digital backend of this platform is equipped with only a single 16-bit fixed-point DSP, and its onboard memory can buffer a maximum of 20 pulse cycles of raw sampling data. The front-end 12-bit ADC has a Total Harmonic Distortion (THD) of approximately -60 dB, and the phase noise performance of the local oscillator (-80 dBc/Hz @ 1 kHz offset) is not top-tier. These "inherent hardware deficiencies" will directly constrain the upper limit of algorithmic performance and implementation complexity.
II. Core Technological Breakthrough Objectives
To address the aforementioned challenges, the team needs to design and verify a set of blind signal processing algorithms capable of stable operation under these constraints. Usually, the specific breakthrough objectives are decomposed as follows:
1. Blind Perception and Separation of Dynamic Channels and Threat Environments
The primary task is to "dissect" the received mixed signals without any a priori information, depicting the full picture of the channel and threats in real-time.
Robust Decoupling of Channel Parameters: A theoretical problem that has long plagued you is the intrinsic coupling effect of time delay and Doppler in LFM signals—within a single pulse, a minute time delay is sufficient to generate an equivalent frequency shift much larger than the target's true Doppler. Your solution must fundamentally break this ambiguity, utilizing those precious 20 pulse buffers to simultaneously provide precise estimates of time delay, attenuation, and Doppler for all paths before the channel changes. The required final accuracy metrics are: Time delay estimation Root Mean Square Error (RMSE) below 0.05 μs, and Doppler estimation RMSE below 50 Hz.
Micro-Fingerprint Identification of True and False Targets: When real target echoes coexist with high-fidelity deception jamming (e.g., at a -5 dB Signal-to-Interference Ratio), traditional pulse compression will completely fail. A deeper identification mechanism is required. Can you excavate the higher-order "micro-features" in the LFM signal phase structure that are ignored by traditional second-order analysis? Please design a method to utilize these features to stamp unique "fingerprints" on true and false targets, and provide a quantifiable confidence assessment to judge the reliability of the separation results. At the same time, you must analyze how that non-ideal ADC will distort these fine phase features and assess the potential impact on identification performance.
2. Modeling and Adaptive Compensation of Endogenous Hardware Defects
If an algorithm cannot run stably on our 16-bit fixed-point platform, it has no engineering value. Therefore, the solution design must be closely integrated with hardware implementation.
Systemic Damage Assessment of Pulse Compression Performance: How will the local oscillator's phase noise and the ADC's quantization errors jointly "poison" the pulse compression performance? You need a theoretical model capable of quantitatively predicting the deterioration of the Peak Sidelobe Ratio (PSLR), which must directly correlate with hardware parameters such as phase noise power spectrum and quantization bits, rather than simple simulation fitting. This model will be the theoretical cornerstone of the entire compensation strategy.
Adaptive Compensation and Convergence Guarantee in Fixed-Point Environments: The core challenge lies in designing a compensation algorithm that can be implemented with 16-bit fixed-point precision, aiming to restore the deteriorated PSLR to better than -30 dB. However, any iteration-based compensation algorithm (such as adaptive filtering) risks error accumulation and divergence in fixed-point arithmetic. Your solution must theoretically demonstrate how the algorithm ensures convergence rather than collapse under finite word length. Does the rounding error introduced by fixed-point arithmetic imply the existence of a performance compensation lower bound that can never be breached?
III. Deliverables and Evaluation Points
Please submit a detailed solution in the form of a technical report (approximately 800-1000 words). The evaluation of the report will focus on the following aspects, rather than just a description of the algorithmic flow:
Depth of Insight into Core Physical/Mathematical Problems: e.g., Explanation of the essential nature of LFM signal parameter coupling, and why your decoupling algorithm holds theoretically.
Balance of Innovation and Feasibility: What is the theoretical limit of high-order phase analysis? To what extent can your method approach this limit under low Signal-to-Noise Ratio (SNR)?
Integration of Systemic Thinking and Engineering Practice: How to theoretically resolve the contradiction between "compensation precision" and "fixed-point arithmetic error"? Is there a clear understanding of the numerical stability and performance boundaries of the algorithm on restricted hardware? | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "The answer points out that the power spectral density of the local oscillator phase noise at 1kHz offset is -80 dBc/Hz.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 6
},
{
"rubric_detail": "The answer calculates the integrated phase noise po... | |
6267d153-72b8-45ef-81a5-d88db387096c | 1,750 | global | Analyze the 4G/5G NSA network quality in a large mixed-use commercial complex in the city center. The complex includes a shopping mall, cinema, dining, a live streaming base, and office buildings. Complaints are concentrated during weekend evening peak hours (19:00–22:00): users report that during short video live streaming and e-commerce live streaming within the mall, the uplink rate is unstable, video quality frequently automatically degrades to 480p or lower, and prolonged "buffering" occurs intermittently. Meanwhile, the experience for ordinary web browsing and short video viewing is generally normal.
The key live network information is as follows (statistics for the core area of the commercial district):
Coverage and Radio Quality
* LTE B3/B1 indoor distribution systems fully cover the building; RSRP is mostly between -80 and -90 dBm.
* NR n78 is covered by rooftop 64T64R AAUs; indoor NR RSRP is approximately -95 to -105 dBm, and SS-SINR is in the 3–10 dB range.
* There are essentially no continuous blind spots in the commercial district, but point-like areas with NR RSRP below -110 dBm exist at floor corners and in deep indoor areas.
Load and Bearer
* During weekend evening peak hours, LTE Downlink (DL) PRB utilization is 55%–70%, and Uplink (UL) PRB utilization is approximately 60%.
* NR DL PRB utilization is 40%–55%, while UL PRB utilization is 85%–95%, with UL BLER consistently ranging from 20%–30%.
* Terminal measurements show DL throughput generally at 150–300 Mbps, but UL throughput is often only 2–5 Mbps with significant fluctuations.
Terminal and Measurement Characteristics (Typical Live Streaming App Users)
* Most are 5G terminals using NSA architecture; terminals support EN-DC capabilities.
* Terminal logs indicate that during live streaming, the device frequently approaches the uplink power limit, with PHR ≈ 0 dB.
* The SINR of the uplink PUSCH mostly hovers between 0–3 dB, indicating obvious signs of uplink interference and "uplink coverage limitation."
Supplementary Information
* There are multiple 5G sites from other operators surrounding the commercial district, making it a high-density area with multi-RAT coexistence.
* The local marketing department is highly focused on the short video live streaming business, regarding "no lag in live streaming" and "stable video quality" as core experience indicators.
* The live network uniformly adopts a TDD ratio of DL:UL = 7:3, and no differentiated uplink enhancement configuration has been implemented for this commercial district.
Problem Requirements:
Based on the above live network information, analyze the main causes of "live streaming lag and unstable uplink rates" from the following three perspectives, and provide a clear causal chain:
1. Uplink Coverage and Interference (including uplink link budget, terminal transmission power limits, PUSCH SINR, UL BLER, etc.).
2. Spectrum and TDD Frame Structure (impact of DL/UL ratio, special subframe configuration, etc., on uplink capacity).
3. NSA Architecture and Bearer Strategy (e.g., whether LTE uplink is fully utilized, whether the uplink traffic split is reasonable, etc.).
Based on identifying the primary contradictions, design a comprehensive and implementable optimization plan that includes at least:
1. Uplink Parameter and Scheduling Strategy Optimization (e.g., uplink power control parameters, TDD ratio adjustment, scheduling strategies for high-priority live streaming users), providing the direction of adjustment and reasonable ranges for key parameters.
2. Coverage and Site/Cell Type Optimization Strategy (e.g., NR beam/downtilt/power optimization, indoor small cell densification, whether to introduce NR low/mid-frequency bands, etc.), explaining how to improve uplink link quality.
3. NSA Bearer and Service Strategy Optimization (e.g., how to utilize LTE uplink capabilities, bearer strategy adjustments for specific Apps or QoS).
Design an effectiveness/performance verification and acceptance plan, explaining:
1. Which Wireless Side and Service Side KPIs to focus on (at least 5 items), and the expected reasonable range or magnitude of improvement.
2. How to verify the improvement of "live streaming video stability and uplink rate" using means such as DT/Indoor Walk Tests, MDT, and live streaming scenario benchmarking.
3. When implementing the above optimizations, what potential side effects need to be focused on (e.g., impact on other services, increased neighbor cell interference, etc.), and how to set up monitoring and rollback strategies. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "Explicitly state that 1080p live streaming requires an uplink rate of approximately ≥4 Mbps with relative stability, and use this to explain why the current network experience is inevitably unstable.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 9
... | |
d46c9edd-b2e7-41f0-83a9-faf219653650 | 1,924 | global | You are an electrical engineer responsible for upgrading an intelligent warehouse management system. You are currently designing the charging module and charging strategy for electric forklifts in an automotive parts factory.
Current factory status:
(1) There are 24 electric forklifts, all using 48 V / 400 Ah lithium iron phosphate (LiFePO₄) battery modules.
(2) The production line operates three shifts per day, 8 hours per shift. Each forklift works continuously for an average of 5–6 hours per shift; the remaining time is spent waiting for loading/unloading.
(3) Under continuous heavy-load operation, each forklift battery takes about 4 hours to discharge from 100% to 20% SOC.
(4) There are 8 fixed DC chargers. Each charger has a maximum output power of 15 kW, supports CC–CV (constant-current/constant-voltage) charging, and communicates with the battery BMS over a CAN bus.
(5) Factory requirements: During peak production, no more than 1/3 of the forklifts may be taken out of service for charging at the same time; battery capacity fade should be minimized as much as possible over 3 years; the charging module must provide protections such as over-temperature, over-voltage, over-current, and insulation-fault protection, and it must be able to log key data.
Based on the above information, design and explain how the forklift charging module works. Your answer must include at least:
(1) Charging decision logic and process: Explain how the charging module uses SOC, voltage, current, temperature, etc. reported by the BMS to decide when to start charging, when to switch from the constant-current to the constant-voltage stage, and when to deem charging complete and stop automatically.
(2) Charging strategy and power allocation: Given the configuration of “8 chargers + 24 forklifts,” provide a scheduling strategy for peak and off-peak periods: which forklifts to charge and when; when multiple forklifts are connected simultaneously, how the charging module allocates power, queues, or limits current to balance charging speed and battery life. Provide at least two example schedules for typical operating conditions (e.g., low-load night shift / peak daytime operation).
(3) Safety and exception handling: Describe how the charging module should respond to: excessively high or low battery temperature; abnormal voltage rise or sudden current change during charging; loss of BMS communication or an obvious SOC estimation anomaly. Specify which key data fields must be recorded for subsequent O&M and health assessment.
(4) Brief rationale: From the perspectives of battery life, production rhythm, and equipment utilization, explain the advantages of your design and its potential trade-offs. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "The answer explicitly states the energy of the 48 V / 400 Ah battery and converts it to kWh; the value falls within a reasonable range of 18–20 kWh (e.g., “about 19 kWh”), with units.",
"rubric_number": 1,
"rubric_tag": "Instructions Following",
"rubric_weight": 2
},
{
"r... | |
b0cc7823-86a6-4a3e-acdd-0d20af89806e | 4,039 | global | You are an expert in machine learning, and your current research focuses on underwater image enhancement. You have designed an encoder–decoder architecture and trained the model using Mean Squared Error (MSE) as the loss function. During training, you observe that the MSE on the training set steadily decreases, and the MSE on the validation set also decreases accordingly. However, the subjective visual quality on the test set is poor: the enhanced images appear overly smooth and lack fine details. Moreover, the PSNR and SSIM metrics are significantly lower than those of state-of-the-art (SOTA) models. Based on the characteristics of the task and the properties of the loss function, analyze the reasons that may have led to this phenomenon. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Machine Learning",
"Machine Learning"
]
} | [
{
"rubric_detail": "Provide an in-depth analysis of the model and clearly point out the fundamental tendency of the MSE loss to drive the network toward predicting the conditional mean of all possible solutions (i.e., the mean solution).",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"r... | |
bba510cb-38c5-4c70-88e3-14780a0491c6 | 4,164 | global | I am the owner of a recommendation system at an internet company. My team is responsible for a large-scale recommender system, whose core model is a deep-learning-based CTR prediction model used to rank items in the home feed.
In the first quarter of 2025, we upgraded the model from the legacy Model A to Model B. Model B incorporates richer user behavior sequence features and a more complex network architecture. On the same offline validation set, Model B outperforms Model A with an AUC improvement of 0.015 and a significantly lower log loss. However, after a two-week A/B test, Model B shows a 2.1% decrease in online CTR compared to Model A, along with a decline in average user dwell time and an increase in user complaints.
Additional information:
1. User assignment in the A/B test is done via user_id hash bucketing, but the new model introduces real-time user features that depend on user behavior within the last 5 minutes.
2. During the online experiment, there was a change in the push-notification strategy, which the PM believes should have minimal impact on CTR.
3. According to the logging system, the request failure rate of the new model is 0.3% higher than that of the old model. Failed requests fall back to a rule-based ranking strategy.
4. Offline evaluation is conducted via historical log replay, without any counterfactual correction.
Your tasks:
1. Can we directly conclude, based on the above evidence, that Model B is inferior to Model A?
2. Systematically enumerate at least four classes of mechanisms that could lead to the phenomenon of 'good offline performance but poor online performance'. Your analysis must cover statistical, system-level, and causal perspectives.
3. Identify at least three non-negligible flaws in the current A/B experiment design.
4. Propose one practical and implementable improvement to the experimental or analytical setup.
5. Clearly specify under what evidential conditions you would support taking Model B offline. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Machine Learning",
"Machine Learning"
]
} | [
{
"rubric_detail": "The answer states that it is not possible to directly conclude that Model B is worse than Model A.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 5
},
{
"rubric_detail": "The analysis points out that the 0.3% request failure rate is not rando... | |
f0bfdae8-df07-4c23-8ac0-08abcd0329be | 5,166 | global | Scenario Description:
You are a recommendation algorithm architect at a large e-commerce platform (similar to Taobao or Amazon). The team is refactoring the recall layer (Match Stage) of the "You May Also Like" system, with the goal of efficiently retrieving a Top-1000 candidate set of items that a user may be interested in from a catalog containing hundreds of millions of items.
An intern is responsible for developing the core two-tower recall model (Two-Tower DSSM). He confidently submits an experimental report claiming that the new model achieves an AUC of 0.99 and trains extremely fast. He believes that deploying this model online will significantly improve recall coverage.
Code Snippet (Simplified):
```python
import pandas as pd
import numpy as np
import tensorflow as tf
from tensorflow.keras import layers, Model
# 1. Data Preparation
# log_data: [user_id, item_id, label=1 (click)]
# Only positive samples (click logs)
pos_data = pd.read_csv("click_logs.csv")
all_item_ids = list(set(pos_data['item_id'].values))
# 2. Negative Sampling (Global Random Negative Sampling)
# Strategy: for each positive sample, randomly select 3 items from the catalog as negatives (label=0)
def get_random_negatives(pos_df, ratio=3):
neg_list = []
for _, row in pos_df.iterrows():
for _ in range(ratio):
rand_item = np.random.choice(all_item_ids) # global random
neg_list.append([row['user_id'], rand_item, 0])
return pd.DataFrame(neg_list, columns=['user_id', 'item_id', 'label'])
neg_data = get_random_negatives(pos_data)
train_data = pd.concat([pos_data, neg_data]).sample(frac=1) # shuffle
# 3. Model Construction (Standard Two-Tower DSSM)
user_input = layers.Input(shape=(1,), name='user_id')
item_input = layers.Input(shape=(1,), name='item_id')
# User Tower
user_emb = layers.Embedding(input_dim=100000, output_dim=64)(user_input)
user_vec = layers.Dense(32, activation='relu')(layers.Flatten()(user_emb))
# Item Tower
item_emb = layers.Embedding(input_dim=500000, output_dim=64)(item_input)
item_vec = layers.Dense(32, activation='relu')(layers.Flatten()(item_emb))
# Dot Product + Sigmoid (Pointwise)
dot_product = layers.Dot(axes=1)([user_vec, item_vec])
output = layers.Dense(1, activation='sigmoid')(dot_product)
model = Model(inputs=[user_input, item_input], outputs=output)
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['AUC'])
# 4. Training
model.fit(
[train_data['user_id'], train_data['item_id']],
train_data['label'],
batch_size=1024, epochs=5
)
# 5. Results
# Train AUC: 0.992, Test AUC: 0.988
```
Your Task:
As the Tech Lead, identify at least three critical flaws in this code that lead to an artificially inflated AUC but extremely poor online performance (low Recall). Explain why "random negative sampling" is a trap in e-commerce recall systems, and propose a corrected solution that includes either hard negative mining or an in-batch softmax approach. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Machine Learning",
"Machine Learning"
]
} | [
{
"rubric_detail": "Clearly points out that the inflated AUC of 0.99 is caused by overly simple negative samples (easy negatives), such that the model only learns coarse-grained category-level distinctions.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 10
},
{
... | |
0defb49c-e4f5-451b-9821-807d77e8c8b3 | 5,430 | global | The communication base station RRU (Remote Radio Unit) is deployed in the South China region. During the summer period from June to August, the RRU occasionally experiences disconnection from the DU (Distributed Unit). Analysis of the log files uploaded by the RRU and DU reveals that the specific alarm is caused by the RRU losing communication with the optical module. No related alarms occur in other seasons, and the RRU functions normally.
Based on the location of the client's base station, the timing of the alarm occurrence, and the specific content of the alarm, please provide an analytical framework for the RRU alarm and identify possible causes. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "The analytical framework encompasses the investigation of meteorological conditions, such as temperature differentials, rainfall, humidity, or thunderstorms.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 10
},
{
"rubric_detail": "Advises ver... | |
591d5f51-ed05-4c50-8abd-7a79c1333497 | 5,545 | global | Following the launch of Huawei Mate60, user-equipment (UE) capabilities have increased substantially compared with three years ago. As a result, the UE capability field featureSet ID may exceed 32, crossing an assumed boundary and triggering failures in Task No. 67. The main controller board then repeatedly reboots; the reboot process causes service interruption and degrades stability indicators by roughly an order of magnitude. In Liaoning, Henan, and Guizhou, the TDD releases exhibited 349 such occurrences.
With the anticipated large-scale onboarding of Mate60 devices, the issue may further intensify. Please analyze the plausible causes of the fault, considering deviations in protocol interpretation, solution/architecture design, and code implementation. Then, from multiple perspectives—including requirements analysis, the design team, and the test & delivery team—propose corrective and preventive measures. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "The response cites relevant content from 3GPP specifications regarding the definition of UE Capability or the FeatureSet ID range (e.g., TS 38.331).",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 6
},
{
"rubric_detail": "The model points out ... | |
64b0f439-36d8-4fa1-8e81-81d37447cccf | 5,768 | global | A government–enterprise leased line customer reports that their 1000M bandwidth service delivered over GPON experiences severe web page response latency and frequent video conferencing freezes every day between 14:00 and 16:00. However, when a single-thread Speedtest is performed, the downstream rate exceeds 900 Mbps.
Current network environment and measured indicators:
1. Topology:
OLT (MA5800) -> Optical splitter (1:64) -> ONU
2. Optical path indicators:
ONU receive optical power: -24.5dBm; OLT-side receive optical power: -21.0dBm.
3. ONU status:
`display ont info` shows the ONT state is Up.
`display ont optical-info` shows the upstream transmit optical power is 2.5dBm.
`display ont error-statistics` shows that the BIP error counter increases slowly but continuously during the affected time window.
4. Bandwidth configuration:
DBA profile type is Type 4 (maximum bandwidth 1000M); the service flow uses priority 5.
5. User-side observations:
Wireshark packet captures taken by the user show that the stuttering is accompanied by a large number of TCP Retransmissions and high one-way jitter.
Your tasks are:
1. Fault localization:
Analyze why the user experiences service stuttering even though the speed test result meets the bandwidth specification, and determine the most probable root cause based on the provided indicators.
2. In-depth analysis:
Explain how the specific optical power levels and BIP error counts are correlated with service performance.
Explain why a single-thread download speed test can pass while the user experience of interactive services is extremely poor.
3. Optimization recommendations:
Propose concrete troubleshooting and remediation schemes, including physical-layer adjustment suggestions and OLT-side parameter inspection commands or script logic. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "Qualitative analysis of optical power critical points:\nThe fault analysis explicitly points out that the ONU receive optical power of -24.5dBm is close to the sensitivity threshold of the optical module.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight":... | |
550f71ad-94fe-40a0-9688-6acad415e987 | 8,614 | global | 【Task Background】
Our company is attempting to pilot a semantic-based low-altitude video downlink/telemetry system within the 5G-Advanced live network (5G-A). This system abandons traditional H.265 encoding/codec in favor of 'Deep Joint Source-Channel Coding (Deep JSCC)' technology. By utilizing an edge-side teacher model to extract 'Pragmatic Features' from the UAV perspective, it transmits only the semantic vectors of key targets, theoretically achieving equivalent visual understanding at extremely low bandwidths (reduced to 1/10th of the original).
【Emergent Crisis】
During a large-scale access test involving 300 UAVs, the system did not exhibit the anticipated improvement in smoothness. Instead, two catastrophic issues erupted:
Semantic 'Hallucination' and Obstacle Avoidance Failure: When the drone swarm passed through a construction zone containing extensive scaffolding and dust screens, the semantic encoder misidentified the complex metallic mesh features as a 'cloud/fog background' and applied smoothing (denoising). This caused the onboard obstacle avoidance algorithm to lose real physical obstacle boundaries, nearly resulting in a collective collision.
Protocol Stack 'Negative Gain' Latency: Although the data volume transmitted at the physical layer was significantly reduced, the end-to-end latency (from camera acquisition to ground station parsing) spiked from 30ms to 120ms. Monitoring revealed that the bottleneck was not in the air interface, but due to severe processing conflicts between semantic vectors and the control logic of the existing PDCP/RLC layer protocols.
【Fault Environment and Constraints】
Computational Resources Conflict: The onboard NPU utilization for running the JSCC encoder is 85%; consequent entropy-weight fluctuations in input images trigger frequent DVFS (dynamic voltage and frequency scaling) of the NPU.
Feedback Mechanism: The system employs 'Semantic Automatic Repeat Request (S-HARQ),' but existing RLC Status Reports cannot comprehend the importance grading of semantic features, causing critical obstacle avoidance vectors to be queued behind background vectors for retransmission.
Hardware Constraints: The semantic extraction model is floating-point, but the onboard NIC driver layer enforces Non-uniform Quantization for semantic features.
【Your Task】
Acting as the Chief Expert in 6G pre-research, please submit a deep closed-loop plan containing root cause deduction, architectural algorithm reconstruction, and pragmatic calibration to address the safety risks caused by semantic hallucination and the protocol stack latency explosion caused by architectural mismatch. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "Identify Objective Misalignment in the Loss Function: Point out that JSCC targeting MSE/PSNR will smooth out high-frequency obstacle boundaries.",
"rubric_number": 1,
"rubric_tag": "Analytical Reasoning",
"rubric_weight": 8
},
{
"rubric_detail": "Propose 'Semantic-Native ... | |
302703db-b1c9-43e1-9684-c524139d6545 | 9,591 | global | During R&D, performance verification revealed that the uplink sensitivity was 1–2 dB worse than the 3GPP requirement. Upon environmental inspection, it was confirmed that all device connections were secure, and there were no adjacent-band carrier emissions from nearby RRUs. Please analyze potential causes and provide corresponding solutions based on the RRU uplink/downlink structure, the uplink sensitivity test procedure, and software configuration. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "The response identifies specific hardware causes for insufficient receive chain (RX chain) gain, including low gain in the Low Noise Amplifier (LNA) or excessive insertion loss in the filter.",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 10
},
{
... | |
025bf5b1-99d0-4d08-872e-5c4c7a77c5dd | 9,682 | global | You are a backend engineer for an e-commerce application. When a user opens a product detail page, the system invokes a core API to return the aggregated data for that page. This aggregation is assembled from four categories of information. The first category is the product’s base information, such as title, images, and description. This category updates infrequently—typically only a small number of products change per day—and the business allows it to be delayed by up to one hour before being reflected to users. The second category is regional pricing, because different regions may have different pricing or promotional price adjustments. This category updates at a moderate frequency, and the business allows it to be delayed by up to five minutes. The third category is user-specific discounts, such as membership benefits, coupons, and personalization strategies. Only about 30% of requests require this category, and it must strictly prevent cross-user leakage; i.e., it is absolutely forbidden to display User A’s discount to User B. The fourth category is inventory, which changes frequently, but the business allows it to be delayed by at most ten seconds.
To improve performance, the system uses a two-tier cache. The first tier is an in-process memory cache on the application servers. Each application instance has its own cache space; it is fast to access, but capacity is limited and it is cleared on application restart. The second tier is a centralized cache cluster—Redis cluster—which can store more data but is constrained by network overhead and overall capacity. The system uses a conventional cache-aside pattern: on each request it checks the cache first; if there is a hit it returns immediately; if there is a miss it queries the origin, assembles the result, and writes it back to the cache.
The current approach is to cache the final aggregated full-page result directly in the second-tier cache. The cache key naming includes region, product ID, and user ID. For the same region and product, different users produce different cache entries. This full-page cache has a fixed TTL of 60 seconds, and the TTL is not randomized in any way.
Online metrics over the last seven days are as follows. Peak request rate is approximately 50,000 QPS; off-peak is approximately 20,000 QPS. Second-tier cache overall hit rate is 52%, while first-tier cache hit rate is only 8%. Median end-to-end latency is about 45 ms, and tail latencies are already elevated; therefore, your proposal must ensure that the slowest requests do not become slower. Redis cluster memory utilization stays at a sustained high watermark: ~92% on average and ~97% at peak, with persistent evictions. The number of cache entries in Redis is approximately 180 million.
The application sampled miss reasons and found: ~35% of misses are due to expiration, and for the same product and region there are bursts of many simultaneous expirations in a short period; ~25% are due to missing keys, most noticeably within the first 15 minutes after deployment; ~20% are due to evictions; ~15% are due to excessively fragmented parameter combinations, manifested as a single product being accessed by many different users in a short period, thereby producing many distinct cache entries. The remaining miss reasons are relatively minor, such as occasional network timeouts.
The hottest 1% of products account for ~60% of traffic, but the user dimension is highly dispersed; for a single product, it is possible to have tens of thousands of distinct users within ten minutes.
Your goal is to increase the second-tier cache hit rate from 52% to 80% or higher without adding any new infrastructure, and only by adjusting existing Redis configuration, cache key naming, cache split granularity, expiration policy, origin-fetch strategy, and application-side logic—while ensuring that the slowest-request latency does not increase. You must strictly satisfy correctness constraints: discount information must not be mixed across users. You must also satisfy staleness constraints: inventory may be delayed by at most 10 seconds, price by at most 5 minutes, and product base information by at most 1 hour. Your answer must be presented in plain text and must not rely on running code or real performance testing; the reviewer should be able to judge correctness and reasonableness from the text alone.
Please output a structured plan that includes at least the following. Part 1: Identify the three main causes of the low hit rate, and you must reason using the provided metrics. Part 2: Provide a phased transformation plan from minimal changes to larger changes; for each phase, state what you will change, why, which miss types you expect to improve, what risks may arise, and how you will monitor and accept/verify. Part 3: Provide the recommended cache split and key-naming strategy, and explicitly clarify which information should be shared cache and which must be isolated per user. Part 4: Explain how you will handle the problem where many requests simultaneously encounter cache expiration and stampede to the origin, and how you will handle cold start after deployment. Part 5: Explain how you will, while meeting correctness and staleness constraints, ensure the plan both improves hit rate and does not worsen tail latency. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Backend Development",
"Backend Development"
]
} | [
{
"rubric_detail": "Explicitly identifies that the first key reason for the low hit rate is the user-dimension cache-key design, which leads to low reuse and a cardinality explosion. The analysis mentions the region–product–user cache-key design and ties it to the provided data (180 million keys; tens of thousa... | |
e2487a94-a128-4b67-9ed9-3fb056e28d5b | 9,705 | global | An intelligent production line of an automotive parts manufacturing enterprise adopts a Siemens S7-1500 PLC as the main controller, and connects 28 distributed I/O modules (ET 200SP), 12 servo drives (Sinamics V90 PN), 8 barcode scanners (with Profinet interface), and 4 industrial robots (KUKA KR C4, Profinet device) via the Profinet IO protocol. The following problems occur during line operation, and there is no third-party O&M team support, so the on-site engineer must resolve them independently:
The production line intermittently generates a “Profinet IO communication timeout” alarm (approximately 3–5 times per day). When the alarm is triggered, some IO devices (random) go offline. After the PLC is restarted, communication is temporarily restored, but the failure reoccurs frequently;
The production line data acquisition system (based on an edge gateway reading data from the PLC via Modbus TCP) suffers from data packet loss (about 5%) and acquisition latency (peaks up to 800 ms), which cannot meet the MES system requirements of “acquisition latency ≤100 ms, packet loss rate ≤0.1%”;
The on-site Profinet network topology is a “star + daisy-chain hybrid”. The core switch is a Siemens SCALANCE XC208. Some remote IO devices are cascaded via SCALANCE XB005 switches. There is no network management software; troubleshooting can only be performed through the PLC diagnostic interface, switch port LEDs, and a laptop computer (with Wireshark/PRONETA installed).
Known basic on-site information
PLC firmware version V2.9, Profinet IO controller communication cycle configured to 10 ms;
The Device Name, IP address, and MAC address of all Profinet IO devices have been configured in the PLC, but no port binding (topology binding) has been implemented;
The Modbus TCP communication port between the edge gateway and the PLC is 502, the acquisition frequency is 100 ms per cycle, and the amount of data acquired per cycle is approximately 1200 bytes;
There are strong electromagnetic interference sources on site, such as high-frequency motors (VFD-driven) and welding robots;
Network cabling is Category 5e unshielded cable, with some cables laid along power cable trays. The maximum transmission distance is approximately 85 meters;
All equipment is configured for “single-point grounding”, but some remote switches are not connected to the grounding system.
I. Fault Localization
Analyze the core causes of Profinet communication timeouts (at least 5 categories, to be explained in conjunction with the on-site scenario);
Design a step-by-step troubleshooting procedure (from “non-intrusive inspection” to “targeted verification”), specifying the tools, methods, and decision criteria for each step;
For “random IO device disconnection”, explain how to use PRONETA/Wireshark to locate the faulty node, and specify the key capture indicators and diagnostic parameters.
II. System Optimization
For the Profinet network, propose optimization schemes at the hardware/topology/configuration levels (to resolve electromagnetic interference, cascading risk, and communication cycle matching issues);
Design an optimized Modbus TCP data acquisition scheme (balancing latency and packet loss rate), and describe the communication parameter adjustments, data segmentation strategy, and exception reconnection mechanism;
Propose a practical “communication fault early warning” scheme (based on native diagnostic functions of the PLC/switch, without adding new hardware), and define the early warning thresholds and trigger logic.
III. Engineering Implementation
Describe the implementation strategy for performing optimization and retrofit without interrupting production line operation (phased and zoned operation methods);
Formulate acceptance criteria after the retrofit (quantitative indicators such as acceptance thresholds for the number of communication timeouts, acquisition latency, and packet loss rate);
Propose a long-term O&M scheme (weekly/monthly inspection items, dimensions for data review, and fault contingency plans). | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "When analyzing the causes of Profinet communication timeouts, it is necessary to clearly point out that “unshielded cables laid in the same tray as power cables” leading to electromagnetic interference is the primary core cause, and to explain the mechanism by which this induces CRC errors a... | |
1fb6bbf5-394d-49c7-ae64-bc374b0fcc3b | 9,706 | global | A battery assembly workshop adopts an architecture comprising PLC controller + industrial robot + distributed Input/Output (IO) modules. The core communication utilizes the Profinet IO Industrial Ethernet protocol (including an IRT real-time communication channel with priority level 3), establishing a ring network topology via industrial switches. In parallel, it connects to four temperature controllers (used for battery module preheating with a data sampling frequency of 1 Hz) via a Modbus TCP communication gateway. Following the addition of three cell stacking production lines, the following malfunctions have occurred:
1. When the industrial robot performs continuous gripping and stacking actions, the latency ranges from 0.4 to 0.7 seconds (process standards require ≤50 milliseconds). This latency phenomenon is concentrated within 10 seconds of the startup or shutdown of the medium-frequency induction heating furnace (operating frequency 3–8 kHz, electromagnetic radiation intensity ≤40 V/m);
2. The temperature controllers experience packet loss 3–5 times per hour (involving data register addresses 40001–40008, with a single transmission data frame length of 64 bytes), resulting in mold temperature fluctuations of ±3°C (process allowance ±1°C), triggering the PLC controller’s alarm function;
3. The Digital Input (DI) channels of the distributed IO modules experience spurious triggering; this phenomenon coincides with the operating cycle of the stamping equipment (electromagnetic pulse peak generated during startup or shutdown ≤2 kV/m).
Known Constraints:
1. The workshop’s single-day production capacity must be ≥2000 battery modules. Single equipment downtime for troubleshooting must be ≤20 minutes. Replacement of existing hardware such as the PLC controller, industrial switches, communication gateways, and temperature controllers is prohibited;
2. Current Profinet protocol configuration: Real-time communication cycle is 2 milliseconds; non-real-time data (e.g., equipment status reporting, operation log transmission) occupies 35% of network bandwidth; VLAN segmentation not configured; 20% of network bandwidth is reserved for the IRT real-time channel;
3. Modbus TCP communication gateway configuration: Data transmission timeout threshold is 500 milliseconds; maximum TCP connection limit is 8; data retransmission mechanisms are disabled;
4. Workshop cabling status: Profinet communication cables are laid parallel to the power cables of the medium-frequency induction heating furnace (separation distance 0.3 meters, without metal protective conduits); Modbus TCP communication uses unshielded Cat 5e cables (cable length approx. 80 meters);
5. Historical troubleshooting records: The Profinet communication cables have been replaced and industrial switch ports cleaned, but the issues persisted.
Drawing upon industrial communication principles, Electromagnetic Compatibility (EMC) design, and network optimization technologies, please address the following:
1. Analyze the core causes of the Profinet real-time channel latency, Modbus TCP packet loss, and IO module signal false triggering (must associate with hardware characteristics, cabling construction defects, and parameter configuration);
2. Design a troubleshooting workflow adapted to the "short downtime" requirement (specify the content, tools required, and time consumption for each shutdown, with total downtime ≤60 minutes);
3. Provide a comprehensive optimization proposal that does not involve hardware replacement (including communication protocol parameter adjustment, EMC anti-interference retrofitting, network bandwidth allocation optimization, and signal filtering configuration), ensuring that after optimization: robot action latency is ≤50 milliseconds, temperature controller packet loss rate is ≤0.1%, and IO module signal false triggering rate is 0, verified by 48 hours of continuous operation without failure. | {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "The model accurately identifies the causes of Profinet latency (Electromagnetic coupling interference + IRT bandwidth/priority configuration defects + Ring network synchronization jitter).",
"rubric_number": 1,
"rubric_tag": "Factual Information",
"rubric_weight": 10
},
{
... | |
56cc66ac-2bde-4ce0-9c9e-8c816026020c | 9,804 | global | In an intelligent-manufacturing line-upgrade project for the body-in-white welding shop of a joint-venture automotive plant, the core welding stations adopt a Profinet IO + industrial Ethernet ring architecture. The system includes an S7-1500 PLC (controller/master), 20 IO-Link slave stations (welding-gun positioning sensors and clamping-cylinder solenoid valves), 8 servo drives (Siemens V90 PN), 4 vision-inspection cameras (Basler acA2440 with PN interface), and integration with the shop-floor MES system (via OPC UA).
Key technical requirements:
- Real-time performance: Profinet IO cyclic communication period ≤ 1 ms; servo position-command response latency ≤ 500 μs.
- Availability: Industrial Ethernet ring MTBF ≥ 100,000 hours; single-point failures shall not interrupt production-line operation.
- Synchronization: Line-wide device clock synchronization based on IEEE 1588 PTP v2, with synchronization accuracy ≤ 100 ns.
- Data exchange: No packet loss in exchanges of takt time, device fault codes, and welding process parameters between PLC and MES; data refresh rate ≤ 100 ms.
During commissioning, the following issues occur:
Issue 1: Under full-load operation, some remote IO-Link slaves intermittently report “communication timeout” alarms (1–2 occurrences every 2 hours), and servo drives report “position-loop following error exceeds limit.” After rebooting the switch, operation recovers briefly.
Issue 2: Measured IEEE 1588 PTP synchronization accuracy is only 300 ns, failing to meet the 100 ns requirement.
Issue 3: When the PLC pushes welding process parameters to MES, frames are intermittently lost (approximately 0.5% packet loss), and the MES displays “jumps” in process parameters.
Requirements:
- For “intermittent communication timeouts on remote IO-Link slaves + servo following error limit exceeded,” analyze the core root causes (at least three categories) and provide practical troubleshooting steps and corrective actions (must incorporate Profinet communication mechanisms and industrial Ethernet ring characteristics).
- Analyze key factors (at least four categories) causing IEEE 1588 PTP synchronization accuracy to fall short, and provide industrially feasible optimization measures (explicitly covering hardware, software, and topology-level actions).
- For OPC UA packet loss between PLC and MES, design an end-to-end “fault localization + permanent remediation” workflow covering communication-layer (Ethernet), protocol-layer (OPC UA), and application-layer (data-exchange logic) analyses.
- Based on the line requirements, supplement a redundancy switchover design for the industrial Ethernet ring, specifying redundancy protocol selection (e.g., MRP/HSR/PRP), switchover time targets, hardware configuration requirements, and explaining how the mechanism ensures “single-point failures do not interrupt line operation.”
| {
"time_sensitivity": {
"day": "NA",
"time_sensitivity": "Time-agnostic",
"year_month": "NA"
},
"topics": [
"Industry",
"Telecommunications",
"Telecommunications"
]
} | [
{
"rubric_detail": "When defining troubleshooting steps, it must explicitly require checking all relevant industrial Ethernet switch port error counters (e.g., CRC, FCS, Alignment Errors) and treat them as key evidence to collect for physical- or link-layer issues.",
"rubric_number": 1,
"rubric_tag": "F... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.