Question: I am currently researching the use of traditional Chinese medicine to make health supplements for the treatment of hyperuricemia. Please search for some relevant papers for me as a theoretical basis

Answer: Hyperuricemia research progress in model construction and traditional Chinese medicine interventions

Answer: Traditional Chinese herbal medicine plays a role in the liver, kidney, and intestine to ameliorate hyperuricemia according to experimental studies

Answer: Research Progress on the Homologous Effects of Cichorium glandulosum Boiss. et Huet on Medicine and Food: A Review

Answer: Herbal medicine in andrology

Answer: Overview of the pharmacokinetics and pharmacodynamics of URAT1 inhibitors for the treatment of hyperuricemia and gout

Answer: Uric acid-lowering activity and mechanisms of Chinese medicines with medicine-food homology: a systematic study

Answer: The anti-hyperuricemia potential of bioactive natural products and extracts derived from traditional Chinese medicines: A review and perspective

Answer: Advances in Traditional Chinese Medicine for the treatment of hyperuricemia and associated diseases: pathogenesis, mechanisms, and future directions

Answer: Research progress on the prevention and treatment of hyperuricemia by medicinal and edible plants and its bioactive components

Answer: Houttuynia cordata traditional extract regulates uric acid transporter and reduces xanthine oxidase activity in hyperuricemic mice

Answer: Puerarin-rich compound Puerariae lobatae formulas alleviate hyperuricemia in mice by enhancing renal and intestinal function through regulating gut microbiota

Answer: The Efficacy and Mechanism of Chinese Herbal Medicines in Lowering Serum Uric Acid Levels: A Systematic Review

Answer: Traditional Chinese herbs and natural products in hyperuricemia-induced chronic kidney disease

Answer: Network Pharmacology Combined with Experimental Validation to Investigate the Mechanism of the Anti-Hyperuricemia Action of Portulaca oleracea Extract

Answer: Chinese Sumac (Rhus chinensis Mill.) Fruits Prevent Hyperuricemia and Uric Acid Nephropathy in Mice Fed a High-Purine Yeast Diet

Answer: Functional Food Potential of Chrysanthemum morifolium, Perilla frutescens, and Sophora japonica in Managing Hyperuricemia through Dual Enzyme Inhibition

Answer: Identification of inhibitors from a functional food-based plant Perillae Folium against hyperuricemia via metabolomics profiling, network pharmacology and all-atom molecular dynamics simulations

Answer: Identifying mechanisms underlying the amelioration effect of Chrysanthemum morifolium Ramat. 'Boju' extract on hyperuricemia using biochemical characterization and UPLC-ESI-QTOF/MS-based metabolomics

Answer: Hypouricemic Effects of Chrysanthemum indicum L. and Cornus officinalis on Hyperuricemia-Induced HepG2 Cells, Renal Cells, and Mice

Answer: Kidney tea ameliorates hyperuricemia in mice via altering gut microbiota and restoring metabolic profile

Answer: DKB114, A Mixture of Chrysanthemum Indicum Linne Flower and Cinnamomum Cassia (L.) J. Presl Bark Extracts, Improves Hyperuricemia through Inhibition of Xanthine Oxidase Activity and Increasing Urine Excretion

Answer: Anti-hyperuricemia effect of Clerodendranthus spicatus: a molecular biology study combined with metabolomics

Answer: Administered chrysanthemum flower oil attenuates hyperuricemia: mechanism of action as revealed by DNA microarray analysis

Answer: Cichorium intybus L. promotes intestinal uric acid excretion by modulating ABCG2 in experimental hyperuricemia

Answer: Anti-Hyperuricemic Effects of Extracts from Chaenomeles speciosa (Sweet) Nakai Fruits on Hyperuricemic Rats

Answer: Effects of Macroporous Resin Extract of Dendrobium officinale Leaves in Rats with Hyperuricemia Induced by Fructose and Potassium Oxonate

Answer: Chicory ameliorates hyperuricemia via modulating gut microbiota and alleviating LPS/TLR4 axis in quail

Answer: Hypouricaemic and nephroprotective effects of Poria cocos in hyperuricemic mice by up-regulating ATP-binding cassette super-family G member 2

Answer: [Effect of Chinese herb chicory extract on expression of renal transporter Glut9 in rats with hyperuricemia]

Answer: Integrating metabolomics with network pharmacology to reveal the mechanism of Poria cocos in hyperuricemia treatment

Answer: Green tea polyphenols decreases uric acid level through xanthine oxidase and renal urate transporters in hyperuricemic mice

Answer: Molecular mechanistic insight into the anti-hyperuricemic effect of Eucommia ulmoides in mice and rats

Answer: Anti-hyperuricemic and nephroprotective effects of extracts from Chaenomeles sinensis (Thouin) Koehne in hyperuricemic mice

Answer: Ganoderma lucidum polysaccharide peptide alleviates hyperuricemia by regulating adenosine deaminase and urate transporters

Answer: Saengmaeksan, a traditional herbal formulation consisting of Panax ginseng, ameliorates hyperuricemia by inhibiting xanthine oxidase activity and enhancing urate excretion in rats

Answer: Korean Red Ginseng Ameliorates the Level of Serum Uric Acid via Downregulating URAT1 and Upregulating OAT1 and OAT3

Answer: Traditional Chinese medicine in the treatment of patients with hyperuricemia: A randomized placebo-controlled double-blinded clinical trial

Answer: The Effects of Ginsenosides and Anserine on the Up-Regulation of Renal Aquaporins 1-4 in Hyperuricemic Mice

Answer: Actions of water extract from Cordyceps militaris in hyperuricemic mice induced by potassium oxonate combined with hypoxanthine

Answer: Cordycepin, a Characteristic Bioactive Constituent in Cordyceps militaris, Ameliorates Hyperuricemia through URAT1 in Hyperuricemic Mice

Answer: Hypouricemic actions of exopolysaccharide produced by Cordyceps militaris in potassium oxonate-induced hyperuricemic mice

Answer: Multi-omics analysis reveals therapeutic effects of Bacillus subtilis-fermented Astragalus membranaceus in hyperuricemia via modulation of gut microbiota

Answer: The inhibitory effect of Astragalus flavone extract on hyperuricemia and its underlying molecular mechanism by targeting JNK/AP-1/NLRP3/IL-1β signaling pathway

Answer: Nuciferine restores potassium oxonate-induced hyperuricemia and kidney inflammation in mice

Answer: 1H NMR and UHPLC/Q-Orbitrap-MS-Based Metabolomics Combined with 16S rRNA Gut Microbiota Analysis Revealed the Potential Regulation Mechanism of Nuciferine in Hyperuricemia Rats

Answer: Baicalein alleviates hyperuricemia by promoting uric acid excretion and inhibiting xanthine oxidase

Answer: Baicalein decreases uric acid and prevents hyperuricemic nephropathy in mice

Answer: Apigenin ameliorates hyperuricemic nephropathy by inhibiting URAT1 and GLUT9 and relieving renal fibrosis via the Wnt/β-catenin pathway

Answer: Isorhamnetin, the xanthine oxidase inhibitor from Sophora japonica, ameliorates uric acid levels and renal function in hyperuricemic mice

Answer: Effect of Berberine on Hyperuricemia and Kidney Injury: A Network Pharmacology Analysis and Experimental Validation in a Mouse Model

Answer: Berberine Attenuates Hyperuricemia by Regulating Urate Transporters and Gut Microbiota

Answer: Berberine Regulates the Metabolism of Uric Acid and Modulates Intestinal Flora in Hyperuricemia Rats Model

Answer: NMR-Based Metabonomic Study Reveals Intervention Effects of Polydatin on Potassium Oxonate-Induced Hyperuricemia in Rats

Answer: Polydatin attenuates potassium oxonate-induced hyperuricemia and kidney inflammation by inhibiting NF-κB/NLRP3 inflammasome activation via the AMPK/SIRT1 pathway

Answer: [Anti-hyperuricemia effect and mechanism of polydatin in mice]

Answer: Protective effects of cortex fraxini coumarines against oxonate-induced hyperuricemia and renal dysfunction in mice

Answer: Research on the pharmacodynamics and mechanism of Fraxini Cortex on hyperuricemia based on the regulation of URAT1 and GLUT9

Answer: Comparative pharmacokinetic study of the main components of cortex fraxini after oral administration in normal and hyperuricemic rats

Answer: Anti-hyperuricemic and nephroprotective effects of Smilax china L

Answer: Study on the correlation between constituents detected in serum from Rhizoma Smilacis Glabrae and the reduction of uric acid levels in hyperuricemia

Answer: Effects of Smilaxchinoside A and Smilaxchinoside C, two steroidal glycosides from Smilax riparia, on hyperuricemia in a mouse model

Answer: Effects of Smilax China L. extracts on Hyperuricemia chicken model via inhibiting xanthine oxidase activity

Answer: The dual actions of Sanmiao wan as a hypouricemic agent: down-regulation of hepatic XOD and renal mURAT1 in hyperuricemic mice

Answer: Simiao pill ameliorates urate underexcretion and renal dysfunction in hyperuricemic mice

Answer: Anti-hyperuricemic and nephroprotective effects of Modified Simiao Decoction in hyperuricemic mice

Answer: Serum Metabolic Profiling Analysis of Gout Patients Treated with Traditional Chinese Medicine Tongfengtai Granules Based on Gas Chromatography-Mass Spectrometry

Answer: Traditional Uighur Medicine Karapxa decoction, inhibits liver xanthine oxidase and reduces serum uric acid concentrations in hyperuricemic mice and scavenges free radicals in vitro

Answer: Inhibition of xanthine oxidase by some Chinese medicinal plants used to treat gout

Answer: Simiao pills alleviates renal injury associated with hyperuricemia: A multi-omics analysis

Answer: Phyllanthi Fructus ameliorates hyperuricemia and kidney injure via inhibiting uric acid synthesis, modulating urate transporters, and alleviating inflammation

Answer: Ilex cornuta leaves extracts ameliorate hyperuricemia by modulating uric acid transporters

Answer: Effects and Mechanisms of Dendrobium officinalis Six Nostrum for Treatment of Hyperuricemia with Hyperlipidemia

Answer: Fufang Zhenzhu Tiaozhi capsule ameliorates hyperuricemic nephropathy by inhibition of PI3K/AKT/NF-κB pathway

Answer: Hypouricemic Effects of Ganoderma applanatum in Hyperuricemia Mice through OAT1 and GLUT9

Answer: Chinese Herbal Formulas Si-Wu-Tang and Er-Miao-San Synergistically Ameliorated Hyperuricemia and Renal Impairment in Rats Induced by Adenine and Potassium Oxonate

Answer: Ameliorative effect and mechanism of Yi‐Suan‐Cha against hyperuricemia in rats

Answer: The molecular insight into the antihyperuricemic and renoprotective effect of Shuang Qi gout capsule in mice

Answer: Chimonanthus nitens Oliv. leaves flavonoids alleviate hyperuricemia by regulating uric acid metabolism and intestinal homeostasis in mice

Answer: Data mining-guided alleviation of hyperuricemia by Paeonia veitchii Lynch through inhibition of xanthine oxidase and regulation of renal urate transporters

Answer: “Kidney Tea” and Its Bioactive Secondary Metabolites for Treatment of Gout

Answer: Sanghuangporus vaninii ethanol extract alleviates hyperuricemic renal injury by regulating the uric acid transporters and inhibiting HK-2 apoptosis

Answer: Ameliorative effect of cheqianzi decoction on hyperuricemia and kidney injury and underlying mechanism in rats

Answer: Wuling San Based on Network Pharmacology and in vivo Evidence Against Hyperuricemia via Improving Oxidative Stress and Inhibiting Inflammation

Answer: Total glucosides of herbaceous peony (Paeonia lactiflora Pall.) flower attenuate adenine- and ethambutol-induced hyperuricaemia in rats

Answer: The renoprotective anti-hyperuricemia effect of Cornus officinalis extract in hyperuricemia rats based on network pharmacology and multiple omics

Medicine and Life Sciences


Question: Please help me find papers on aberration correction methods that include point spread function simulations and real-machine experiments with lens-based displayed systems. The method should be to pre-apply an algorithm on the image source to account for the effects of aberrations. The papers should be released before Nov. 2025 and after Jan. 2020.

Answer: Optical aberration analysis of light field displays: a calibration approach for enhanced performance

Answer: Light field displays with computational vision correction for astigmatism and high-order aberrations with real-time implementation

Answer: Optical aberrations correction in postprocessing using imaging simulation

Answer: Image edge smoothing method for light-field displays based on joint design of optical structure and elemental images

Answer: Correcting optical aberration via depth-aware point spread functions

Answer: Aberration correction based on a pre-correction convolutional neural network for light-field displays

Answer: End-to-end optimization of a diffractive optical element and aberration correction for integral imaging

Answer: Dual convolutional neural network for aberration pre-correction and image quality enhancement in integral imaging display

Answer: Regional selection-based pre-correction of lens aberrations for light-field displays

Answer: Display performance optimization method for light field displays based on a neural network

Answer: Optical Aberration Correction in Postprocessing using Imaging Simulation

Answer: Aberration pre-correction for a simple optical system of HMDs

Answer: Real-Time Computational Visual Aberration Correcting Display Through High-Contrast Inverse Blurring

Answer: Ring deconvolution microscopy: exploiting symmetry for efficient spatially varying aberration correction

Answer: Wavefront Coding for Accommodation-Invariant Near-Eye Displays

Answer: Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy

Answer: Aberration Modeling in Deep Learning for Volumetric Reconstruction of Light‐Field Microscopy

Answer: Near-real-time diagnosis of electron optical phase aberrations in scanning transmission electron microscopy using an artificial neural network

Answer: Non-stationary correction of optical aberrations

Answer: Wavefront aberration correction for integral imaging with the pre-filtering function array

Answer: Depth of field expansion method for integral imaging based on diffractive optical element and CNN

Engineering and Technology

Optics and Electronic Information Technology


Question: Please help me find papers on aberration pre-correction methods for integral imaging displays that published on a journal under the Optica Group.

Answer: Aberration correction based on a pre-correction convolutional neural network for light-field displays

Answer: End-to-end optimization of a diffractive optical element and aberration correction for integral imaging

Answer: Dual convolutional neural network for aberration pre-correction and image quality enhancement in integral imaging display

Answer: Wavefront aberration correction for integral imaging with the pre-filtering function array

Answer: Depth of field expansion method for integral imaging based on diffractive optical element and CNN

Engineering and Technology


Question: Please find clinical trial research papers published between 2020 and 2024 that investigate the combination therapy of an immune checkpoint inhibitor (specifically targeting PD-1 or PD-L1) with platinum-based chemotherapy as the first-line treatment for advanced non-small cell lung cancer (NSCLC) in patients who are negative for EGFR mutations and ALK rearrangements. The studies must report overall survival (OS) as a primary endpoint and include the incidence of treatment-related grade 3 or higher adverse events as a key safety outcome.

Answer: Cemiplimab plus chemotherapy versus chemotherapy alone in non-small cell lung cancer: a randomized, controlled, double-blind phase 3 trial

Answer: First-line nivolumab plus ipilimumab combined with two cycles of chemotherapy in patients with non-small-cell lung cancer (CheckMate 9LA): an international, randomised, open-label, phase 3 trial

Answer: Pemetrexed plus platinum with or without pembrolizumab in patients with previously untreated metastatic nonsquamous NSCLC: protocol-specified final analysis from KEYNOTE-189

Answer: Cemiplimab Plus Chemotherapy Versus Chemotherapy Alone in Advanced NSCLC: 2-Year Follow-Up From the Phase 3 EMPOWER-Lung 3 Part 2 Trial

Answer: Durvalumab With or Without Tremelimumab in Combination With Chemotherapy as First-Line Therapy for Metastatic Non-Small-Cell Lung Cancer: The Phase III POSEIDON Study

Answer: First-line nivolumab plus ipilimumab with two cycles of chemotherapy versus chemotherapy alone (four cycles) in advanced non-small-cell lung cancer: CheckMate 9LA 2-year update

Answer: Pembrolizumab Plus Chemotherapy in Squamous Non-Small-Cell Lung Cancer: 5-Year Update of the Phase III KEYNOTE-407 Study

Answer: Final overall survival data of sintilimab plus pemetrexed and platinum as First-Line treatment for locally advanced or metastatic nonsquamous NSCLC in the Phase 3 ORIENT-11 study

Answer: Interim survival analysis of the randomized phase III GEMSTONE-302 trial: sugemalimab or placebo plus chemotherapy as first-line treatment for metastatic NSCLC

Medicine and Life Sciences


Question: Please help me find recent methodological papers (reviews or comparative studies are not wanted) that propose a novel deep learning model for automated detection and classification of microcalcification clusters in full-field digital mammography (FFDM) images. The proposed model should be based on a transformer architecture (e.g., Vision Transformer or its variants) but must not be a standard convolutional neural network (CNN) like ResNet or DenseNet. The paper must include validation on at least one publicly available mammography dataset (such as CBIS-DDSM, INbreast, or OMI-DB) and report both sensitivity and specificity metrics.

Answer: Efficacy of the PD-1 inhibitor penpulimab in combination with chemotherapy for advanced lung squamous cell carcinoma: insights from a phase III multicenter study

Answer: A global phase 3 study of serplulimab plus chemotherapy as first-line treatment for advanced squamous non-small-cell lung cancer (ASTRUM-004)

Medicine and Life Sciences


Question: Please help me locate papers on machine learning-assisted design of gas separation polymer membranes. These papers should include permeability datasets for CO2 O2, N2 and CH4, with simulations conducted using molecular dynamics modeling. The research methodology should employ machine learning regression prediction and inverse molecular design.

Answer: Automated Artificial-intelligence Inverse Design of Polymer Membranes for CO2 Capture and Separation

Answer: Discovery of Innovative Polymers for Next-Generation Gas-Separation Membranes using Interpretable Machine Learning

Answer: Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning

Answer: Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning

Answer: Machine learning and molecular design algorithm assisted discovery of gas separation membranes exceeding the CO2/CH4 and CO2/N2 upper bounds

Answer: Machine learning enables interpretable discovery of innovative polymers for gas separation membranes

Answer: AI powered, automated discovery of polymer membranes for carbon capture

Answer: Accelerate Polymer Membrane Discovery for CO2 Separation with Graph-Based Generative Model and Molecular Dynamics Simulation

Answer: Machine learning prediction on the fractional free volume of polymer membranes

Answer: Accelerating Discovery of Polyimides with Intrinsic Microporosity for Membrane‐Based Gas Separation: Synergizing Physics‐Informed Performance Metrics and Active Learning

Answer: Creation of Polymer Datasets with Targeted Backbones for Screening of High-Performance Membranes for Gas Separation

Answer: Combining Interpretable Machine Learning and Molecular Simulation to Advance the Discovery of COF-Based Membranes for Acid Gas Separation

Answer: Machine Learning-Guided Discovery of Polymer Membranes for CO2 Separation

Answer: Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation

Answer: Can machine learning methods guide gas separation membranes fabrication?

Answer: Designing exceptional gas-separation polymer membranes using machine learning

Answer: Machine learning aided evaluation and design based on polymer membrane materials

Answer: Polymer genome–based prediction of gas permeabilities in polymers

Answer: Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders

Answer: Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning

Engineering and Technology


Question: I am designing polymer membranes for carbon capture, but there is a trade-off between gas permeability and selectivity. I have tried adjusting the chemical structure of the polymer backbone, but found that increasing permeability often leads to decreased selectivity, and vice versa. The cycle of experimental synthesis and testing is lengthy, making it difficult to systematically explore the vast chemical space. I wonder if there exists a GNN model that could help me predict

Answer: Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning

Answer: Machine Learning-Guided Discovery of Polymer Membranes for CO2 Separation

Answer: Designing exceptional gas-separation polymer membranes using machine learning

Answer: Machine learning enables interpretable discovery of innovative polymers for gas separation membranes

Answer: Machine learning-guided discovery of polymer membranes for CO2 separation with genetic algorithm

Answer: Machine learning and molecular design algorithm assisted discovery of gas separation membranes exceeding the CO2/CH4 and CO2/N2 upper bounds

Answer: Imputation of missing gas permeability data for polymer membranes using machine learning

Answer: AI powered, automated discovery of polymer membranes for carbon capture

Answer: Machine learning-based discovery of molecular descriptors that control polymer gas permeation

Answer: Polymer Informatics at Scale with Multitask Graph Neural Networks

Answer: Polymer genome–based prediction of gas permeabilities in polymers

Answer: Improved artificial neural networks (ANNs) for predicting the gas separation performance of polyimides

Answer: Neural networks for the prediction of polymer permeability to gases

Answer: Graph Diffusion Transformers for Multi-Conditional Molecular Generation

Answer: POINT^2: A Polymer Informatics Training and Testing Database

Answer: Accelerating Discovery of Polyimides with Intrinsic Microporosity for Membrane‐Based Gas Separation: Synergizing Physics‐Informed Performance Metrics and Active Learning

Answer: Machine Learning‐Guided Design and Synthesis of Eco‐Friendly Poly(ethylene oxide) Membranes for High‐Efficacy CO2/N2 Separation

Answer: Transcend the boundaries: Machine learning for designing polymeric membrane materials for gas separation

Answer: Exploring SMILES and BigSMILES: Toward Efficient and Scalable Polymer Representations for Machine Learning

Answer: Polymer informatics at-scale with multitask graph neural networks

Answer: Can machine learning methods guide gas separation membranes fabrication?

Answer: Machine learning for membrane design and discovery

Answer: Recent Progress of Artificial Intelligence Application in Polymer Materials

Answer: polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics

Answer: Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation

Answer: Machine learning in gas separation membrane developing: Ready for prime time

Answer: Machine Learning in Membrane Design: From Property Prediction to AI-Guided Optimization

Answer: Polymer Informatics with Multi-Task Learning

Answer: Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes

Engineering and Technology


Question: Find papers published before 2025-11-01 that use NLP/LLM methods to infer comparative clinical trial outcomes from randomized controlled trial (RCT) text for an Intervention–Comparator–Outcome prompt. The paper must predict the direction of effect (significantly increased / significantly decreased / no significant difference) and optionally extract the supporting evidence sentence. It must report quantitative results on the standard Evidence Inference benchmark split (accuracy or macro-F1 for direction; and F1 if evidence extraction is evaluated), and include at least one transformer-based model (BERT/RoBERTa/Longformer/T5/instruction-tuned LLM) compared against a non-transformer baseline (e.g., logistic regression, CNN/LSTM, or rule-based).

Answer: Inferring Which Medical Treatments Work from Reports of Clinical Trials

Answer: Evidence Inference 2.0: More Data, Better Models

Medicine and Life Sciences


Question: Find peer-reviewed papers published before 2025-11-1 that learn an offline reinforcement-learning treatment policy for adult sepsis or septic shock in the ICU using retrospective EHR data, where the action space includes BOTH intravenous fluid resuscitation AND vasopressor dosing. The study must use MIMIC-III and/or MIMIC-IV and report an off-policy evaluation method together with an estimated mortality-related outcome compared with the observed clinician policy. Exclude papers that only do sepsis prediction/early warning, papers that optimize fluids-only or vasopressors-only, and papers that rely solely on a synthetic simulator without evaluation on real MIMIC patient trajectories.

Answer: Offline Safe Reinforcement Learning for Sepsis Treatment: Tackling Variable-Length Episodes with Sparse Rewards

Answer: Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records

Answer: The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

Answer: Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning

Answer: A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis

Answer: Optimizing sepsis treatment strategies via a reinforcement learning model

Answer: Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

Answer: The treatment of sepsis: an episodic memory-assisted deep reinforcement learning approach

Answer: Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis

Answer: Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution

Medicine and Life Sciences


Question: I am designing a clinical study and want to use large language models (LLMs) to reduce the cost and time of clinical trial recruitment. Please find papers published on or before 2025-10-31 that use an LLM to pre-screen patients for clinical trial eligibility (patient-to-trial matching or criterion-level eligibility classification) using real EHR patient data AND trial text. The study must validate the AI output against a gold standard (manual chart review or clinician screening decisions), report quantitative performance metrics AND at least one workflow metric (e.g., screening time saved, screening yield, or cost). Exclude papers that only extract/normalize eligibility criteria without using any patient data.

Answer: Manual vs AI-Assisted Prescreening for Trial Eligibility Using Large Language Models—A Randomized Clinical Trial

Answer: Retrieval Augmented Generation Enabled Generative Pre-Trained Transformer 4 (GPT-4) Performance for Clinical Trial Screening

Answer: A Proof-of-Concept Large Language Model Application to Support Clinical Trial Screening in Surgical Oncology

Answer: Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline

Answer: Distilling Large Language Models for Matching Patients to Clinical Trials

Answer: Learning to match patients to clinical trials using large language models

Medicine and Life Sciences


Question: Find papers published in either (1) the Journal of the American Medical Informatics Association (JAMIA) or (2) the Journal of Biomedical Informatics (JBI), published on or before 2025-10-31, that use transformer-based NLP or large language models to  structure/normalize clinical trial eligibility criteria and/or match patients or EHR cohorts to clinical trials (trial retrieval / patient-trial matching). The paper must use trial text from ClinicalTrials.gov or real trial protocols and include a quantitative evaluation. Exclude editorials, perspectives, or reviews without an evaluated model.

Answer: Learning to match patients to clinical trials using large language models

Answer: Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation

Answer: Distilling large language models for matching patients to clinical trials

Answer: AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models

Answer: Effective matching of patients to clinical trials using entity extraction and neural re-ranking

Answer: Combining human and machine intelligence for clinical trial eligibility querying

Answer: Structural analysis and intelligent classification of clinical trial eligibility criteria based on deep learning and medical text mining

Medicine and Life Sciences


Question: Find papers published on or before 2025-10-31 that generate privacy-preserving synthetic EHR time series using deep generative models such as diffusion models or GANs, evaluated on public ICU datasets. The paper must validate the synthetic data with  at least one downstream clinical prediction task, at least one privacy-risk assessment, and at least one fidelity metric that reflects temporal/joint structure (not only marginal distributions). Prefer studies that release code or provide enough implementation details to reproduce.

Answer: Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models

Answer: EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records

Answer: Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

Answer: Enabling Granular Subgroup Level Model Evaluations by Generating Synthetic Medical Time Series

Answer: TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation

Medicine and Life Sciences


Question: Find peer-reviewed papers published on or before 2025-10-31 that train DIFFERENTIALLY PRIVATE generative models to generate synthetic structured health records (EHR/claims/registries). The paper must quantify the privacy–utility trade-off: it should report a formal DP budget (epsilon, delta) and evaluate both privacy risk (e.g., membership inference / attribute inference / disclosure risk) AND downstream utility (e.g., classification/regression performance, TSTR) on healthcare data. Exclude papers that rely only on k-anonymity/de-identification without a DP-trained generative model, and exclude papers that evaluate only statistical similarity without any downstream task utility.

Answer: Synthetic data for privacy-preserving clinical risk prediction

Answer: Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy

Answer: Privacy-Preserving Data Synthesis via Differentially Private Normalizing Flows with Application to Electronic Health Records Data

Answer: Effective and Privacy preserving Tabular Data Synthesizing

Answer: Differentially Private Generative Adversarial Network

Answer: DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs

Medicine and Life Sciences


Question: Please help me find papers on AI-assisted academic writing outcomes in graduate education that include quantitative empirical studies  focus on research writing quality, productivity, or learning outcomes. The studies should involve generative artificial intelligence or large language models applied to graduate or doctoral student writing tasks. The time range should be published before November 1, 2025.

Answer: Generative AI's Impact on Graduate Student Writing Productivity and Quality

Answer: GenAI as scholarly ally: patterns, pedagogy, and policies in graduate writing research

Answer: Graduate Students' ChatGPT Experience and Perspectives during Thesis Writing

Answer: ChatGPT-3.5 as writing assistance in students’ essays

Answer: Exploring ChatGPT-4 as an Academic Assistant in Thesis Development: A Case Study on Postgraduate Higher Education

Answer: The use  of  ChatGPT  to  improve  scientific  article  productivity  of postgraduate students

Other


Question: I’m researching graduate academic writing and trying to evaluate whether generative AI tools genuinely improve writing quality and research productivity, but I’m struggling to design studies with clear baselines and credible outcome measures. Recommend empirical papers that propose rigorous evaluation frameworks or study designs for assessing AI-assisted writing in graduate education, while avoiding purely perception-based or self-reported outcomes.The time range should be published before November 1, 2025.

Answer: Dimensions of Generative AI Evaluation Design

Answer: ChatGPT as an automated writing evaluation tool: how students perceive it and how it affects their writing

Answer: When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI

Answer: Graduate students’ use of ChatGPT for academic text revision: Behavioral, cognitive, and affective engagement

Answer: Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models

Answer: ChatGPT as Linguistic Equalizer? Quantifying LLM-Driven Lexical Shifts in Academic Writing

Answer: Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing

Answer: Human-AI collaboration patterns in AI-assisted academic writing

Answer: Integrating AI and Human Feedback to Optimize Interdisciplinary Proposal Writing in Science Graduate Students

Answer: Application of Artificial Intelligence powered digital writing assistant in higher education: randomized controlled trial

Other


Question: Could you help me find papers on PFKFB3 in breast cancer and PFKFB3 as a target that were published in the last 5 years?

Answer: Hyperglycemia induces PFKFB3 overexpression and promotes malignant phenotype of breast cancer through RAS/MAPK activation

Answer: Positive regulation of PFKFB3 by PIM2 promotes glycolysis and paclitaxel resistance in breast cancer

Answer: PELP1/SRC-3-dependent regulation of metabolic PFKFB kinases drives therapy resistant ER+ breast cancer

Answer: The Role of PFKFB3 In the Tumor Microenvironment and Its Therapeutic Potential

Answer: Role of PFKFB3 and PFKFB4 in Cancer: Genetic Basis, Impact on Disease Development/Progression, and Potential as Therapeutic Targets

Answer: PFKFB3 regulates breast cancer tumorigenesis and Fulvestrant sensitivity by affecting ERα stability

Answer: Combination of 3PO analog PFK15 and siPFKL efficiently suppresses the migration, colony formation ability, and PFK-1 activity of triple-negative breast cancers by reducing the glycolysis

Answer: The potential radiosensitization target PFKFB3 is related to response to radiotherapy in SweBCG91RT: a randomized clinical trial with long-term follow-up

Answer: A miR-34a-guided, tRNAiMet-derived, piR_019752-like fragment (tRiMetF31) suppresses migration and angiogenesis of breast cancer cells via targeting PFKFB3

Answer: Nuances of PFKFB3 Signaling in Breast Cancer

Answer: Treatment against glucose-dependent cancers through metabolic PFKFB3 targeting of glycolytic flux

Answer: GATA3/MiR-199a-3p Suppresses Glycometabolism in Breast Cancer by Inhibiting PFKFB3 Expression

Answer: Genomic Deletion of PFKFB3 Decreases In Vivo Tumorigenesis

Answer: Ginsenoside Rg3 overcomes tamoxifen resistance through inhibiting glycolysis in breast cancer cells

Answer: PKM2 dictates the poised chromatin state of PFKFB3 promoter to enhance breast cancer progression

Answer: Knockdown of circ_0102273 inhibits the proliferation, metastasis and glycolysis of breast cancer through miR-1236-3p/PFKFB3 axis

Medicine and Life Sciences


Question: Could you help check whether there are any papers that use PFK15 for cancer treatment but not for other diseases?

Answer: Targeting 6-phosphofructo-2-kinase (PFKFB3) as a therapeutic strategy against cancer

Answer: PFK15, a small molecule inhibitor of PFKFB3, induces cell cycle arrest, apoptosis and inhibits invasion in gastric cancer

Answer: PFK15, a PFKFB3 antagonist, inhibits autophagy and proliferation in rhabdomyosarcoma cells

Answer: Combination of 3PO analog PFK15 and siPFKL efficiently suppresses the migration, colony formation ability, and PFK-1 activity of triple-negative breast cancers by reducing the glycolysis

Answer: Role of PFKFB3 and PFKFB4 in cancer: genetic basis, impact on disease development/progression, and potential as therapeutic targets

Answer: The potential utility of PFKFB3 as a therapeutic target

Answer: Treatment against glucose-dependent cancers through metabolic PFKFB3 targeting of glycolytic flux

Answer: The molecular basis of targeting PFKFB3 as a therapeutic strategy against cancer

Answer: Inhibition of glycolytic activator PFKFB3 suppresses tumor growth and induces tumor vessel normalization in hepatocellular carcinoma

Answer: The synergistic effect of PFK15 with metformin exerts anti-myeloma activity via PFKFB3

Answer: Metabolic reprogramming by dual-targeting biomimetic nanoparticles for enhanced tumor chemo-immunotherapy

Answer: Blockage of glycolysis by targeting PFKFB3 suppresses tumor growth and metastasis in head and neck squamous cell carcinoma

Answer: PFKFB3 blockade inhibits hepatocellular carcinoma growth by impairing DNA repair through AKT

Answer: Inhibition of Glycolysis Suppresses Cell Proliferation and Tumor Progression In Vivo: Perspectives for Chronotherapy

Answer: Acetylation accumulates PFKFB3 in cytoplasm to promote glycolysis and protects cells from cisplatin-induced apoptosis

Answer: Metabolic regulation of calcium pumps in pancreatic cancer: role of phosphofructokinase-fructose-bisphosphatase-3 (PFKFB3)

Answer: PFKFB3 Inhibition Attenuates Oxaliplatin-Induced Autophagy and Enhances Its Cytotoxicity in Colon Cancer Cells

Answer: AICAR enhances the cytotoxicity of PFKFB3 inhibitor in an AMPK signaling-independent manner in colorectal cancer cells

Answer: Inhibition of Growth by Combined Treatment with Inhibitors of Lactate Dehydrogenase and either Phenformin or Inhibitors of 6-Phosphofructo-2-kinase/Fructose-2, 6-bisphosphatase 3

Answer: Expression of PFKFB3 and Ki67 in lung adenocarcinomas and targeting PFKFB3 as a therapeutic strategy

Answer: Targeting the reprogrammed metabolism in H3.3K27M pediatric high-grade gliomas

Answer: Targeting MCT1 and PFKFB3 provokes synthetic lethality in small cell lung cancer

Answer: PFKFB3-Mediated Pro-Glycolytic Shift in Hepatocellular Carcinoma Proliferation

Answer: Rescue of dendritic cells from glycolysis inhibition improves cancer immunotherapy in mice

Answer: ALK fusion promotes metabolic reprogramming of cancer cells by transcriptionally upregulating PFKFB3

Answer: Metabolic Reprogramming of Cancer Cells and Therapeutics Targeting Cancer Metabolism

Answer: IL-37 inhibits glycolysis of lung adenocarcinoma by inhibiting the expression of PFKFB3

Answer: Yiqi Yangjing recipe stimulates apoptosis while suppressing the energy metabolism via under-expression of PFKFB3 in A549 cells

Answer: Blockage of glycolysis by targeting PFKFB3 suppresses the development of infantile hemangioma

Answer: A Potential Oncogenic Role for PFKFB3 Overexpression in Gastric Cancer Progression

Answer: Necroptosis pathway blockage attenuates PFKFB3 inhibitor-induced cell viability loss and genome instability in colorectal cancer cells

Answer: Smart Biomimetic Nanocomposites Mediate Mitochondrial Outcome through Aerobic Glycolysis Reprogramming: A Promising Treatment for Lymphoma

Answer: mTOR up-regulation of PFKFB3 is essential for acute myeloid leukemia cell survival

Medicine and Life Sciences


Question: Please provide papers published by Airbus or Boeing that global methods and technologies for aircraft test flight safety risk assessment. The papers should be released before the end of 2025.

Answer: “达尔文”项目成功开展飞行试验

Answer: 基于BP神经网络的试飞训练安全性量化模型

Answer: 基于FMEA分析的试飞安全管理模式的构建与探索

Engineering and Technology


Question: I am building a vertical-domain maintenance model multi-agent system covering OEM R&D, design, test flight, and customer airline operation data, but data governance and data sharing issues are causing inefficiencies in cross-task coordination and collaboration among agents. Can you recommend methods and technologies used by advanced OEMs like Boeing and Airbus?

Answer: Novel roll effector based on zero-mass-flux dual synthetic jets and its flight test

Answer: Virtual flight test techniques to predict a blendedwing-body aircraft in-flight departure characteristics

Engineering and Technology


Question: I want to build a model to evaluate the process quality of a power battery development project. Can you recommend papers regarding development project quality evaluation and quality promotion, it must be related to research and development instead of manufacturing. The papers should be released not earlier than year 2022.

Answer: UNDERSTANDING QUALITY FACTORS IN R&D ACTIVITIES: A NEW MODEL FOR QUALITY MANAGEMENT

Answer: Quality management practices to direct and control the accomplishment of project objectives in R&D units

Answer: Prioritization of R&D Project Evaluation Criteria Using Pythagorean Fuzzy AHP Method

Answer: Performance Measurement in R&D Projects: Relevance of Indicators Based on US and German Experts

Answer: Design for Six Sigma in the Product Development Process Under a Sustainability Point of View: A Real-Life Case Study

Answer: Management of R&D projects in the early phases of the project life cycle – empirical research

Answer: Knowledge production and commercialization from R&D: the pharmaceutical sector

Answer: Challenges and Potentials in Evaluating Early-Stage Deep Technology

Other


Question: could you find papers which focuses on quality management not for production, but rather for power battery R&D projects, specifically seeking studies that establish targeted assessment models whose core frameworks are applicable and transferable to similar R&D contexts and are intrinsically linked to R&D verification, and does not rely on concepts, data, or methodologies from production or manufacturing quality management.

Answer: Product-requirement-model to approach the identification of uncertainties in battery systems development

Answer: Handling Complexity in Virtual Battery Development with a Simplified Systems Modeling Approach

Answer: Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batteries

Answer: A framework for Li-ion battery prognosis based on hybrid Bayesian physics-informed neural networks

Answer: The Battery Component Readiness Level (BC-RL) framework: A technology-specific development framework

Answer: Designing physical systems through a model-based synthesis approach. Example of a Li-ion battery for electrical vehicles

Answer: Development of a virtual quality gate concept based on high-potential tests for lithium-ion battery cell manufacturing (manufacturing QC focus; excluded from core results)

Answer: A Review of the Research on the Quality Evaluation Method for the Entire Process of Equipment Development Projects

Answer: Modified Stage-Gate Regimes in New Product Development

Answer: Development of an R&D process model for enhancing the quality of R&D: comparison with CMMI, ISO and EIRMA

Answer: Development of a Quality Assurance Framework for Research and Development

Answer: Assessment of quality and maturity level of R&D

Other


Question: Please provide papers published by the affiliated hospital of Qingdao University that about ENO1 or alpha enolase？The papers should be released before the end of 2025.

Answer: Tumor-intrinsic ENO1 inhibition promotes antitumor immune response and facilitates the efficacy of anti-PD-L1 immunotherapy in bladder cancer

Answer: N6-Methyladenosine enhances the translation of ENO1 to promote the progression of bladder cancer by inhibiting PCNA ubiquitination

Answer: 基于系统药理学和分子对接探讨浙贝母-瓜蒌配伍调控慢性阻塞性肺病并发心脏衰竭的作用机制 (The mechanism of Fritillariae Thunbergii Bulbus–Trichosanthis Fructu pairing in regulating heart failure complicated by chronic obstructive pulmonary disease based on systems pharmacology and molecular docking)

Answer: Ag85B-ENO146-82 therapeutic vaccines enhance anti-tumor immunity by inducing CD8+ T cells and remodeling tumor microenvironment

Medicine and Life Sciences


Question: Please provide papers that about the function of ENO1 in promoting antitumor immunity, rather than inhibiting antitumor immunity. The papers should be released before the end of 2025.

Answer: ENO1 promotes antitumor immunity by destabilizing PD-L1 in NSCLC

Answer: O-GlcNAcylation of enolase 1 serves as a dual regulator of aerobic glycolysis and immune evasion in colorectal cancer

Answer: Phosphorylated alpha-enolase induces autoantibodies in HLA-DR8 pancreatic cancer patients and triggers HLA-DR8 restricted T-cell activation

Medicine and Life Sciences


Question: Please find papers published before 2025-11-01 in top-tier peer-reviewed venues that mitigate spurious correlations (e.g., language priors / annotation artifacts / shortcut cues) in Visual Question Answering (VQA). The paper must propose an explicit debiasing/causal/counterfactual/invariant-learning mitigation method (not scaling-only or prompt-only), evaluate on at least ONE bias-sensitive or prior-breaking VQA benchmark/split (e.g., VQA-CP, GQA-OOD, or any explicitly bias-controlled VQA split) and also report results on at least ONE standard in-distribution VQA benchmark, and include a clearly defined OOD/generalization or group-robust evaluation; exclude survey-only papers, unimodal-only papers, and analysis-only work without a mitigation algorithm.

Answer: Counterfactual VQA: A Cause-Effect Look at Language Bias

Answer: RUBi: Reducing Unimodal Biases in Visual Question Answering

Answer: Overcoming Language Priors in Visual Question Answering with Adversarial Regularization

Answer: Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Answer: Counterfactual Samples Synthesizing for Robust Visual Question Answering

Answer: Greedy Gradient Ensemble for Robust Visual Question Answering

Answer: MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering

Answer: Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering

Answer: Unshuffling Data for Improved Generalization in Visual Question Answering

Answer: Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies

Answer: Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Answer: Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

Answer: Learning what makes a difference from counterfactual examples and gradient supervision

Answer: Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder

Answer: Overcoming language priors in vqa via decomposed linguistic representations

Answer: Self-Critical Reasoning for Robust Visual Question Answering

Answer: Generative Bias for Robust Visual Question Answering

Answer: Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning

Answer: A Multi-modal Debiasing Model with Dynamical Constraint for Robust Visual Question Answering

Answer: A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect

Answer: Enhancing robust VQA via contrastive and self-supervised learning

Answer: Simple contrastive learning in a self-supervised manner for robust visual question answering

Answer: A Negative Case Analysis of Visual Grounding Methods for VQA

Answer: SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering

Answer: Towards Deconfounded Visual Question Answering via Dual-causal Intervention

Answer: Efficient Counterfactual Debiasing for Visual Question Answering

Answer: Debiasing Multimodal Models via Causal Information Minimization

Answer: Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering

Answer: GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering

Answer: Contrastive Visual-Question-Caption Counterfactuals on Biased Samples for Visual Question Answering

Answer: Reducing Vision-Answer Biases for Multiple-Choice VQA

Answer: Combating Visual Question Answering Hallucinations Via Robust Multi-Space Co-Debias Learning

Answer: Debiasing Medical Visual Question Answering via Counterfactual Training

Answer: Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering

Answer: Transformer-Empowered Invariant Grounding for Video Question Answering

Answer: Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning

Answer: LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering

Answer: Bias Mitigation Label and Aware Context for Debiased Visual Question Answering

Answer: Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Answer: Knowledge Proxy Intervention for Deconfounded Video Question Answering

Answer: Test-Time Model Adaptation for Visual Question Answering with Debiased Self-Supervisions

Answer: Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Answer: Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

Answer: Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision

Answer: NExT-OOD: Overcoming Dual Multiple-choice VQA Biases

Answer: Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective

Artificial Intelligence and Computing


Question: Please find papers published before 2025-11-01 in top-tier peer-reviewed venues that leverage the integration of game theory and intelligent agents to address multimodal alignment problems (e.g., vision-language alignment, cross-modal semantic consistency, multi-modality representation matching). The papers must propose an explicit game-theoretic agent-based algorithmic framework (not scaling-only or prompt-only strategies) to optimize multimodal alignment performance. They should evaluate on at least one multimodal alignment-specific benchmark (e.g., MS-COCO Captioning, Flickr30k Entailment, ALIGN Benchmark) and also report results on at least one general multimodal understanding benchmark (e.g., VQA v2, GLUE-V, NLVR2). Additionally, the papers must include a clearly defined evaluation of cross-domain generalization or alignment robustness across diverse multimodal scenarios. Exclude survey-only papers, unimodal-only studies, and analysis-only work without a concrete mitigation/optimization algorithm.

Answer: Large-Scale Adversarial Training for Vision-and-Language Representation Learning

Answer: GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning

Answer: Balancing Multimodal Training Through Game-Theoretic Regularization

Artificial Intelligence and Computing


Question: Could you help me find academic papers that use explainable machine learning methods with satellite remote sensing images as the data source?

Answer: Post-Fire Burned Area Detection Using Machine Learning and Burn Severity Classification with Spectral Indices in İzmir: A SHAP-Driven XAI Approach

Answer: SHAP-Based Interpretable Object Detection Method for Satellite Imagery

Answer: Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery

Answer: Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP

Answer: Integration of LIME with segmentation techniques for SVM classification in Sentinel-2 imagery

Answer: Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data

Answer: Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI

Answer: Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing

Answer: On the Effectiveness of Methods and Metrics for Explainable AI in Remote Sensing Image Scene Classification

Answer: Example-based explainable AI and its application for remote sensing image classification

Answer: Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach Using Google Earth Engine

Answer: Global-scale explainable AI assessment for OBIA-based classification using Deep Learning and Machine Learning methods

Answer: Feature Attributation Methods for Multivariate Time-Series Explainability in Remote Sensing

Answer: Application of Remote Sensing and Explainable Artificial Intelligence (XAI) for Wildfire Occurrence Mapping in the Mountainous Region of Southwest China

Answer: Time-Series MODIS-Based Remote Sensing and Explainable Machine Learning for Assessing Grassland Resilience in Arid Regions

Answer: Interpretable Machine Learning and Remote Sensing Data Reveal Soil Biogeochemistry Patterns in Agricultural Systems

Answer: Transformer-based land use and land cover classification with explainability using satellite imagery

Answer: Interpretable Deep Learning Framework for Land Use & Land Cover Classification in Remote Sensing using SHAP

Fundamental Sciences


Question: Could you help me find academic papers presenting global datasets with a complete data repository that can be used as data sources for carbon sink research?

Answer: Global carbon flux dataset generated by fusing remote sensing and multiple flux networks observation

Answer: A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system

Answer: Global terrestrial carbon fluxes of 1999–2019 estimated by upscaling eddy covariance data with a random forest

Answer: Revised and updated geospatial monitoring of 21st century forest carbon fluxes

Answer: A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT)

Answer: An update to the Surface Ocean CO2 Atlas (SOCAT version 2)

Answer: A uniform, quality controlled Surface Ocean CO2 Atlas (SOCAT)

Answer: Surface Ocean CO2 Atlas (SOCAT) gridded data products

Answer: A full-coverage satellite-based global atmospheric CO2 dataset at 0.05° resolution from 2015 to 2021 for exploring global carbon dynamics

Answer: VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing

Answer: Updated climatological mean ΔfCO2 and net sea–air CO2 flux over the global open ocean regions

Answer: The annual update GLODAPv2.2023: the global interior ocean biogeochemical data product

Answer: GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product

Answer: An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2021

Fundamental Sciences


Question: I'm trying to develop a point-of-care biosensor for detecting viral RNA in resource-limited settings, but conventional CRISPR-based methods require complex temperature control and have limited multiplexing capability. Are there papers that use Argonaute (Ago) proteins for biosensing that offer room-temperature operation and the ability to detect multiple targets simultaneously?

Answer: Multiplexed food-borne pathogen detection using an argonaute-mediated digital sensor based on a magnetic-bead-assisted imaging transcoding system

Answer: Argonaute-integrated isothermal amplification for rapid, portable, multiplex detection of SARS-CoV-2 and influenza viruses

Answer: RT-RPA-PfAgo System: A Rapid, Sensitive, and Specific Multiplex Detection Method for Rice-Infecting Viruses

Answer: ANCA: artificial nucleic acid circuit with argonaute protein for one-step isothermal detection of antibiotic-resistant bacteria

Answer: One-pot virus detection based on isothermal amplification coupled with temperature-activated argonaute

Answer: Multiplex Digital Nucleic Acid Analysis by a LAMP–Argonaute Coupling Assay via a Parallel Droplet Fusion SlipChip

Answer: MIRA /Pf Ago-Mediated Biosensor for Multiplex Human Enteroviruses Virus Typing Detection on HFMD

Answer: Portable, single nucleotide polymorphism-specific duplex assay for virus surveillance in wastewater

Answer: Programmable mesophilic argonaute-triggered SERS biosensor promotes amplification-free and multiplexed nucleic acid detection

Answer: Programmable Clostridium perfringens Argonaute-Based, One-Pot Assay for the Multiplex Detection of miRNAs

Answer: Multiplexed Pathogenic Bacteria Detection via a Two-Dimensional Encoded Fluorescent Microsphere System

Answer: Mesophilic Argonaute-Mediated Polydisperse Droplet Biosensor for Amplification-Free, One-Pot, and Multiplexed Nucleic Acid Detection Using Deep Learning

Answer: A digital platform for One-Pot signal enhanced foodborne pathogen detection based on mesophilic argonaute-driven polydisperse microdroplet reactors and machine learning

Answer: Ultra‐Fast Single‐Nucleotide‐Variation Detection Enabled by Argonaute‐Mediated Transistor Platform

Answer: A handheld isothermal fluorescence detector for duplex visualization of aquatic pathogens via enhanced one-pot LAMP-PfAgo assay

Answer: Argonaute-based dual lateral flow test for SARS-CoV-2 and influenza a virus

Answer: Pyrococcus furiosus Argonaute coupled with modified ligase chain reaction for detection of SARS-CoV-2 and HPV

Answer: Pyrococcus furiosus Argonaute-mediated nucleic acid detection

Answer: A rapid, accurate, scalable, and portable testing system for COVID-19 diagnosis

Answer: Prokaryotic Argonaute-based multiplexed detection assays for food safety: Recent advances and perspectives

Answer: Advancements in Pathogen Detection: Argonaute-Based Nucleic Acid Detection Technology

Answer: Temperature-Modulation Categorization of Argonaute-Based Bioreactions Coupled with Amplification Methods for Nucleic Acid Detection

Answer: Prokaryotic Argonautes for in vivo biotechnology and molecular diagnostics

Answer: CADLAB: A Contamination-Free, Argonaute-Enhanced, Dual Detection of Plant Viruses via Lateral Flow Assay Biosensors system

Answer: PfAgo-Based Zika Virus Detection

Answer: Argonaute-Coupled Rolling Circle Amplification Enables the Rapid and Sensitive Detection of 8-Oxoguanine-Modified miRNA

Answer: Argonaute-Based Nucleic Acid Detection Technology: Advantages, Current Status, Challenges, and Perspectives

Answer: CRISPR/Cas and Argonaute-Based Biosensors for Pathogen Detection

Answer: Pyrococcus furiosus Argonaute with isothermal amplification for fast and ultra-sensitive diagnosis of acute hepatopancreatic necrosis disease in shrimp

Answer: Clostridium butyricum Argonaute-powered programmable platform using a magnetic nanoparticle tetrahedral DNA encoding system for the ultrasensitive and multiplexed detection of non-nucleic acid targets

Answer: CRISPR/Cas and Argonaute-powered lateral flow assay for pathogens detection

Answer: A New Frontier in Point-of-Care Viral Diagnostics

Answer: Enzyme-Assisted Endogenous Guide DNA Generation-Mediated Pyrococcus furiosus Argonaute for Alicyclobacillus acidoterrestris Detection

Answer: Argonaute-DNAzyme tandem biosensing for highly sensitive and simultaneous dual-gene detection of methicillin-resistant Staphylococcus aureus

Answer: Comparison of CRISPR/Cas and Argonaute for nucleic acid tests

Answer: Combination of ultrashort PCR and Pyrococcus furiosus Argonaute for DNA detection

Medicine and Life Sciences


Question: Could you help me find research papers on Argonaute-based fluorecence biosensors that were published in the journal Analytical Chemistry (ACS Publications) between 2022 and November 2025?

Answer: Label-Free Fluorescence Biosensor Constructed Based on Pyrococcus furiosus Argonaute System and Programmable DNAzyme for Sensitive Detection of Foodborne Pathogen

Answer: Real-Time Fluorescence Aptasensor Based on Programmable Switch-Coupled Exponential Amplification Transduction for Ultrasensitive and Specific Vibrio parahemolyticus Determination

Answer: Mesophilic Argonaute-Mediated Polydisperse Droplet Biosensor for Amplification-Free, One-Pot, and Multiplexed Nucleic Acid Detection Using Deep Learning

Answer: Deep Learning-Assisted Fluorescence Single-Particle Detection of Fumonisin B1 Powered by Entropy-Driven Catalysis and Argonaute

Answer: Multiplex Digital Nucleic Acid Analysis by a LAMP–Argonaute Coupling Assay via a Parallel Droplet Fusion SlipChip

Answer: Rapid and Sensitive Genotyping of SARS-CoV-2 Key Mutation L452R with an RPA-PfAgo Method

Answer: Programmable Analysis of MicroRNAs by Thermus thermophilus Argonaute-Assisted Exponential Isothermal Amplification for Multiplex Detection (TEAM)

Answer: Programmable Clostridium perfringens Argonaute-Based, One-Pot Assay for the Multiplex Detection of miRNAs

Answer: Binding Activity of Prokaryotic Argonaute for Background-Suppressed Exponential Isothermal Amplification

Answer: Thermus thermophilus Argonaute-Based Isothermal Amplification Assay for Ultrasensitive and Specific RNA Detection

Answer: Synchronous Dual-Cycle Amplification System Based on Programmable Ago-DNA Polymerase for Detecting Tumor-Related MicroRNAs

Answer: Pyrococcus furiosus Argonaute-Based Fluorometric Biosensor for One-Tube Detection of Cancer-Associated Single Nucleotide Polymorphisms in MicroRNAs

Medicine and Life Sciences


Question: Find clinical studies investigating non-standard or salvage chemotherapy regimens (such as taxanes, irinotecan, VAC, or immunotherapy) specifically for Large Cell Neuroendocrine Carcinoma (LCNEC) of the uterine cervix. Please strictly exclude the following: Papers focusing solely on the efficacy of standard first-line Platinum/Etoposide (EP) combinations. General reviews that do not report specific patient outcomes (survival or response rates). Studies on Small Cell Carcinoma (SCCC) that do not analyze LCNEC separately. The goal is to identify treatment options for refractory or recurrent cases.

Answer: Paclitaxel and carboplatin for large cell neuroendocrine carcinoma of the uterine cervix

Answer: Association of nivolumab and niraparib in the management of neuroendocrine cancer of the cervix

Answer: Neuroendocrine Carcinoma of Uterine Cervix: Stereotactic Radiotherapy for Brain Metastasis and Stereotactic Body Radiotherapy for Renal and Pancreatic Metastases

Answer: Ipilimumab and nivolumab for recurrent neuroendocrine cervical carcinoma

Medicine and Life Sciences


Question: Conduct a literature review on the recent contributions of Professor Ng Lai Guan (affiliated with Singapore Immunology Network or Shanghai Immune Therapy Institute) to the field of single-cell immunology. Please retrieve a list of his key research papers published specifically between 2022 and 2024.

Answer: Deterministic reprogramming of neutrophils within tumors

Answer: Timing and location dictate monocyte fate and their transition to tumor-associated macrophages

Answer: Cellular and transcriptional dynamics of human neutrophils at steady state and upon stress

Answer: Cebp1 and Cebpβ transcriptional axis controls eosinophilopoiesis in zebrafish

Answer: Differential contributions of fetal mononuclear phagocytes to Zika virus neuroinvasion versus neuroprotection during congenital infection

Answer: Dendritic cell type 3 arises from Ly6C+ monocyte-dendritic cell progenitors

Answer: iPS-cell-derived microglia promote brain organoid maturation via cholesterol transfer

Answer: Behavioural immune landscapes of inflammation

Medicine and Life Sciences


Question: Could you help me find research papers (not review articles) on strigolactones (SLs) regulating plant salt tolerance, specifically those conducting experiments with the synthetic analog GR24?

Answer: Positive regulatory role of strigolactone in plant responses to drought and salt stress

Answer: Synthetic strigolactone (rac-GR24) alleviates the photosynthetic inhibition and oxidative damage in alfalfa (Medicago sativa L.) under salt stress

Answer: Strigolactone-Mediated Mitigation of Negative Effects of Salinity Stress in Solanum lycopersicum through Reducing the Oxidative Damage

Answer: Strigolactone-mediated amelioration of salinity stress in bread wheat: Insights from phytochemical and ion channels related genes expression analyses

Answer: Strigolactone Alleviates the Adverse Effects of Salt Stress on Seed Germination in Cucumber by Enhancing Antioxidant Capacity

Answer: Effects of strigolactone on photosynthetic and physiological characteristics in salt-stressed rice seedlings

Answer: Strigolactones Improve Plant Growth, Photosynthesis, and Alleviate Oxidative Stress under Salinity in Rapeseed (Brassica napus L.) by Regulating Gene Expression

Answer: Role of abscisic acid in strigolactone-induced salt stress tolerance in arbuscular mycorrhizal Sesbania cannabina seedlings

Answer: GR24-mediated enhancement of salt tolerance and roles of H2O2 and Ca2+ in regulating this enhancement in cucumber

Answer: Ameliorative effects of SL on tolerance to salt stress on pepper (Capsicum annuum L.) plants

Answer: Physiological and transcriptome characterization provides new insights into mitigation of NaCl stress by strigolactone GR24 in Lycium ruthenicum Murr

Answer: Strigolactone Alleviates NaCl Stress by Regulating Antioxidant Capacity and Hormone Levels in Rice (Oryza sativa L.) Seedlings

Answer: Regulation of Exogenous Strigolactone on Storage Substance Metabolism and Endogenous Hormone Levels in the Early Germination Stage of Rice Seeds Under Salt Stress

Answer: Exogenous strigolactones enhance salinity tolerance in cotton (Gossypium hirsutum L.) seedlings

Answer: Resilient mechanism of strigolactone (GR24) in regulating morphological and biochemical status of maize under salt stress

Answer: Strigolactone-Mediated Trehalose Enhances Salt Resistance in Tomato Seedlings

Answer: Strigolactone (GR24) Application Positively Regulates Photosynthetic Attributes, Stress-Related Metabolites and Antioxidant Enzymatic Activities of Ornamental Sunflower (Helianthus annuus cv. Vincent’s Choice) under Salinity Stress

Answer: Influence of strigolactone (GR24) as a seed treatment on growth, gas exchange and chlorophyll fluorescence of wheat under saline conditions

Answer: Sowing Methods and Strigolactones Alleviate Damage to the Photosynthetic System of Rice Seedlings Under Salt Stress by Enhancing Antioxidant Capacity

Answer: The Coupling Effects of PGPR Inoculation and Foliar Spraying of Strigolactone in Mitigating the Negative Effect of Salt Stress in Wheat Plants: Insights from Phytochemical, Growth, and Yield Attributes

Answer: Strigolactones are involved in hydrogen sulfide-enhanced salt tolerance in tomato seedlings

Answer: Modulations Induced by Seed Priming of Strigolactone (GR24) in Morpho-Physiological and Biochemical Attributes of Ajwain (Trachyspermum ammi L.) Under Salt Stress

Other

Plant Stress Physiology and Molecular Biology


Question: I am currently writing a review on the mechanisms by which strigolactones (SLs) regulate plant salt tolerance. However, I have not found relevant papers focusing on the physiological mechanisms underlying SL-mediated salt tolerance. Could you recommend some papers that illustrate how SLs regulate the physiological mechanisms of plant salt tolerance?

Answer: Positive regulatory role of strigolactone in plant responses to drought and salt stress

Answer: The role of strigolactone in alleviating salinity stress in chili pepper

Answer: Strigolactone-mediated amelioration of salinity stress in bread wheat: Insights from phytochemical and ion channels related genes expression analyses

Answer: Strigolactone-Mediated Mitigation of Negative Effects of Salinity Stress in Solanum lycopersicum through Reducing the Oxidative Damage

Answer: Strigolactone Alleviates the Adverse Effects of Salt Stress on Seed Germination in Cucumber by Enhancing Antioxidant Capacity

Answer: Strigolactone could enhances gas-exchange through augmented antioxidant defense system in Salvia nemorosa L. plants subjected to saline conditions stress

Answer: Strigolactones Improve Plant Growth, Photosynthesis, and Alleviate Oxidative Stress under Salinity in Rapeseed (Brassica napus L.) by Regulating Gene Expression

Answer: Exogenous strigolactones alleviate the photosynthetic inhibition and oxidative damage of cucumber seedlings under salt stress

Answer: Strigolactones enhance physiological and biochemical responses to salinity stress in tomato

Answer: Strigolactone is involved in nitric oxide-enhanced the salt resistance in tomato seedlings

Answer: Effects of strigolactone on photosynthetic and physiological characteristics in salt-stressed rice seedlings

Answer: Enhancing salinity tolerance in wheat: the role of synthetic Strigolactone (GR24) in modulating antioxidant enzyme activities, ion channels, and related gene expression in stress responses

Answer: Strigolactone Alleviates NaCl Stress by Regulating Antioxidant Capacity and Hormone Levels in Rice (Oryza sativa L.) Seedlings

Answer: Regulation of Exogenous Strigolactone on Storage Substance Metabolism and Endogenous Hormone Levels in the Early Germination Stage of Rice Seeds Under Salt Stress

Answer: Strigolactone alleviates the salinity-alkalinity stress of Malus hupehensis seedlings

Answer: Strigolactone-Mediated Trehalose Enhances Salt Resistance in Tomato Seedlings

Answer: Strigolactones, ROS and ABA Regulate Systemic Salt-Tolerance Priming Signals Between Dodder-Connected Tobacco Plants

Answer: Arbuscular mycorrhizal symbiosis influences strigolactone production under salinity and alleviates salt stress in lettuce plants

Answer: SLs signal transduction gene CsMAX2 of cucumber positively regulated to salt, drought and ABA stress in Arabidopsis thaliana L.

Answer: Strigolactone (GR24) Application Positively Regulates Photosynthetic Attributes, Stress-Related Metabolites and Antioxidant Enzymatic Activities of Ornamental Sunflower (Helianthus annuus cv. Vincent’s Choice) under Salinity Stress

Answer: Strigolactone (GR24) Induced Salinity Tolerance in Sunflower (Helianthus annuus L.) by Ameliorating Morpho-Physiological and Biochemical Attributes Under In Vitro Conditions

Answer: Interactions between Brassinosteroids and Strigolactones in Alleviating Salt Stress in Maize

Answer: The Coupling Effects of PGPR Inoculation and Foliar Spraying of Strigolactone in Mitigating the Negative Effect of Salt Stress in Wheat Plants: Insights from Phytochemical, Growth, and Yield Attributes

Answer: Mechanisms of Strigolactone-Regulated Abiotic Stress Responses in Plants

Answer: Osmotic stress represses strigolactone biosynthesis in Lotus japonicus roots: exploring the interaction between strigolactones and ABA under abiotic stress

Answer: Physiological and transcriptome characterization provides new insights into mitigation of NaCl stress by strigolactone GR24 in Lycium ruthenicum Murr.

Answer: Sowing Methods and Strigolactones Alleviate Damage to the Photosynthetic System of Rice Seedlings Under Salt Stress by Enhancing Antioxidant Capacity

Answer: Resilient mechanism of strigolactone (GR24) in regulating morphological and biochemical status of maize under salt stress

Answer: Effects of GR24 and 24-eBL on the growth of wheat ( Triticum aestivum L.) seedlings grown under salt stress

Answer: Strigolactones, ROS and ABA Regulate Systemic Salt‐Tolerance Priming Signals Between Dodder‐Connected Tobacco Plants

Answer: Phytohormone Strigolactone: Involvement in Guard Cell Signaling and Abiotic Stress Tolerance in Plants

Answer: Strigolactones in Plants: From Development to Abiotic Stress Management

Answer: Contribution of strigolactone in plant physiology, hormonal interaction and abiotic stresses

Answer: Strigolactone as a potential target for improving abiotic stress tolerance in horticultural crops

Answer: Strigolactones as promising biomolecule for oxidative stress management: A comprehensive review

Answer: Crucial roles of trehalose and 5-azacytidine in alleviating salt stress in tomato: Both synergistically and independently

Answer: Deciphering the Role of Phytohormones and Osmolytes in Plant Tolerance Against Salt Stress: Implications, Possible Cross-Talk, and Prospects

Answer: Understanding the potential of root microbiome influencing salt‐tolerance in plants and mechanisms involved at the transcriptional and translational level

Answer: The strigolactone pathway plays a crucial role in integrating metabolic and nutritional signals in plants

Answer: Interpreting the Genetic Symphony: Strigolactones and Their Regulatory Effect on Plant Growth and Development

Answer: Trehalose alleviates salt tolerance by improving photosynthetic performance and maintaining mineral ion homeostasis in tomato plants

Answer: The strigolactones-mediated DNA demethylation activates the phosphoinositide pathway in response to salt stress

Answer: Exogenous strigolactones enhance salinity tolerance in cotton (Gossypium hirsutum L.) seedlings

Other


Question: I'm working on the rational design of nitrogen-doped carbon dots and I'm hitting a wall with reproducibility and wavelength control. My goal is to move beyond empirical "trial-and-error" synthesis. Can you find me recent papers (published in the last 3 years) that specifically investigate the correlation between the molecular structure of nitrogen precursors and the resulting photoluminescence (PL) mechanism of N-CDs? I'm particularly interested in studies that use a combination of experimental characterization (like XPS, FTIR, NMR) and computational simulations (like DFT) to identify the specific nitrogen-containing fluorophores or emissive states responsible for the PL.

Answer: Photoluminescence mechanism of red emissive carbon dots from a diaminobenzoic acid isomer

Answer: Graphitic nitrogen induced identical fluorescent emission of carbon dots for scalable anti-counterfeiting applications

Answer: Controlling the optoelectronic properties of nitrogen-doped carbon quantum dots using biomass-derived precursors in a continuous flow system

Answer: Engineering Nitrogen‐Doped Carbon Quantum Dots: Tailoring Optical and Chemical Properties through Selection of Nitrogen Precursors

Answer: Unravelling Chemical Heterogeneity and Dual Emission Pathways in Graphene Quantum Dots via Single-Particle Infrared Spectroscopy

Answer: Chemical modification with m -phenylenediamine on the purified carbon nano dots for remarkable enhancement of quantum yields and red-shift of fluorescent emission

Answer: Tunable dual photoluminescence from synthesized urea-based carbon quantum dots: A DFT based simulation on structural insights

Answer: Precise Regulation Strategy for Fluorescence Wavelength of Aggregation‐Induced Emission Carbon Dots

Answer: Impact of nitrogen doping on the polarization properties of carbon quantum dots

Answer: Application of surface nitrogen-doped graphene quantum dots in the sensing of ferric ions and glutathione: Spectroscopic investigations and DFT calculations

Medicine and Life Sciences


Question: I am looking for research on carbon dot-based materials for photocatalysis. My interest is specifically in CO2 reduction, but not in hydrogen evolution from water splitting. Could you find papers where the study demonstrates and quantifies the specific products of CO2 reduction, such as methane (CH4), carbon monoxide (CO), or formic acid (HCOOH)? Please exclude papers that only mention "pollutant degradation" without focusing on a specific chemical transformation.

Answer: Integrating carbon quantum dots with oxygen vacancy modified nickel-based metal organic frameworks for photocatalytic CO2 reduction to CH4 with approximately 100 % selectivity

Answer: Enhanced CH4 selectivity in CO2 photocatalytic reduction over carbon quantum dots decorated and oxygen doping g-C3N4

Answer: Harnessing Vis–NIR broad spectrum for photocatalytic CO2 reduction over carbon quantum dots-decorated ultrathin Bi2WO6 nanosheets

Answer: Graphene quantum dot-sensitized Zn-MOFs for efficient visible-light-driven carbon dioxide reduction

Answer: ZnO1−x/carbon dots composite hollow spheres: Facile aerosol synthesis and superior CO2 photoreduction under UV, visible and near-infrared irradiation

Answer: In Situ Encapsulation of Graphene Quantum Dots in Highly Stable Porphyrin Metal-Organic Frameworks for Efficient Photocatalytic CO2 Reduction

Answer: Engineering CQDs/Bi2WO6 heterostructure for efficient photocatalytic CO2 reduction and degradation dye via S-scheme charge transfer

Answer: Solar-powered CO2 marvel: ultrahigh graphene quantum dots covalently coupled with PhS unleash effective photocatalysis for valuable chemical transformation

Answer: Unique hole-accepting carbon-dots promoting selective carbon dioxide reduction nearly 100% to methanol by pure water

Answer: Engineering Dual‐Defective 0D/2D VN‐CNQDs/VBi‐Bi4O5Br2 S‐Scheme Heterostructure for Boosting CO2 Photoreduction in Air

Answer: Efficient visible and NIR light-driven photocatalytic CO2 reduction over defect-engineered ZnO/carbon dot hybrid and mechanistic insights

Answer: Efficient Hole Trapping in Carbon Dot/Oxygen‐Modified Carbon Nitride Heterojunction Photocatalysts for Enhanced Methanol Production from CO 2 under Neutral Conditions

Answer: Preparation of Iron‐Doped Carbon Dots and Their Application in Photocatalytic Reduction of Carbon Dioxide

Answer: Covalent Organic Framework Hosting Metalloporphyrin‐Based Carbon Dots for Visible‐Light‐Driven Selective CO 2 Reduction

Answer: Enhanced Z-scheme ZnS/NH 2− MIL-125(Ti) photocatalysts with biomass-derived carbon quantum dots for CO 2 reduction

Medicine and Life Sciences


Question: Could you help me find the research related to oral evidence-based medicine that is affiliated with Sichuan University?

Answer: A study on the correlation between oral health status and cognitive impairment in elderly population

Answer: Efficacy of dexmedetomidine for controlled hypotension in orthognathic surgery: a systematic review

Answer: Prognosis of intentional replantation for periapical periodontitis teeth: a systematic review and meta-analysis

Answer: The impact of surgery-first approach on the oral health-related quality of life: a systematic review and meta-analysis

Answer: Effectiveness, efficiency and adverse effects of using direct or indirect bonding technique in orthodontic patients: a systematic review and meta-analysis

Answer: Effect of conventional combined orthodontic-surgical treatment on oral health-related quality of life: A systematic review and meta-analysis

Answer: Effectiveness of remineralizing agents in the prevention and reversal of orthodontically induced white spot lesions: a systematic review and network meta-analysis

Answer: Efficacy of laser adjuvant therapy in the management of post-operative endodontic pain: A systematic review and meta-analysis

Answer: Clinical efficacy of curcumin versus chlorhexidine as an adjunct to scaling and root planing for the treatment of periodontitis: A systematic review and meta-analysis

Answer: The effect of supportive care in preventing peri-implant diseases and implant loss: A systematic review and meta-analysis

Answer: Long-term clinical performance of flapless implant surgery compared to the conventional approach with flap elevation: A systematic review and meta-analysis

Answer: Periodontal health status in cirrhotic patients: a systematic review and meta-analysis

Answer: Impact of oral health literacy on oral health behaviors and outcomes among the older adults: a scoping review

Answer: Systematic review of risk factors of postoperative dysphagia in patients with oral cancer

Answer: Application of platelet-rich fibrin on mandibular third molar extraction: systematic review and Meta-analysis

Answer: Evaluation of hyperbaric oxygen therapy for the osteoradionecrosis of the jaws: Meta-analysis

Answer: Influence of different types of rapid maxillary expansion on root resorption: a systematic review

Answer: Meta-analysis of condylar changes produced by a Twin-block appliance in Class Ⅱ malocclusion

Answer: Meta-analysis of the condylar position changes produced by functional appliances in class Ⅱ malocclusion

Answer: Single-photon emission computed tomography for the diagnosis of mandibular invasion caused by oral cancers: a systematic review and Meta-analysis

Answer: Meta-analysis of prevalence and filling rate of dental caries in preschool children in China

Answer: Evidence of Cochrane Systematic Reviews on the Treatment of Temporomandibular Disorders

Answer: Orthodontic maximum anchorages in malocclusion treatment: A systematic review and network meta-analysis

Answer: Association Between Recurrent Aphthous Ulcers and Oral Biodiversity: A Systematic Review and Meta-Analysis

Answer: Reporting Quality of Adverse Events in Temporomandibular Disorders Treatment: A Systematic Review

Answer: Effectiveness of remineralising agents in prevention and treatment of orthodontically induced white spot lesions: a protocol for a systematic review incorporating network meta-analysis

Answer: Periodontal treatment for cardiovascular risk factors: a systematic review

Answer: Safety and Effectiveness of Tinidazole Buccal Tablet on Periodontitis and Pericoronitis: A Prospective Randomized Controlled Trial

Answer: Efficacy and safety of traditional Chinese medicine for erosive oral lichen planus: a protocol for systematic review and meta analysis

Answer: Evaluating an early childhood caries prevention strategy: a study protocol for a stepped-wedge cluster randomised controlled trial

Answer: Survey methods contributing to the difference of dentin hypersensitivity prevalence among publications between 1998 and 2022: a research-on-research study

Answer: Application of dental chairside evidence-based medicine for the treatment temporomandibular osteoarthritis

Medicine and Life Sciences


Question: I am conducting research on the clinical application of surgical robots in the treatment of oral squamous cell carcinoma, but I have encountered bottlenecks in the application of primary tumor resection. My objective is to exclude studies focusing on the application of robotic surgery in cervical lymph node dissection. Could you help me find papers published in the past five years that specifically investigate the application of robotic surgery in the primary tumor resection of oral squamous cell carcinoma? I am particularly interested in case-control studies and randomized controlled trials that demonstrate the superiority of robotic surgery by comparing it with conventional surgical treatments.

Answer: Transoral robotic surgery in oral tongue cancer patients with trismus: a retrospective evaluation of feasibility and surgical outcomes

Answer: Clinical Characteristics and Treatment Outcomes of Oral Cancers Using Transoral Robotic Surgery in an Endemic Region

Medicine and Life Sciences


Question: Could you help me find empirical studies on Federated Learning for multi-hospital collaborative training of medical imaging AI models, published in Nature Medicine, Nature Communications, or IEEE Transactions on Medical Imaging between 2023 and October 2025?

Answer: An international study presenting a federated learning AI platform for pediatric brain tumors

Answer: Addressing data heterogeneity in distributed medical imaging with heterosync learning

Answer: Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Answer: Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer

Answer: Decentralized federated learning through proxy model sharing

Answer: Achieving flexible fairness metrics in federated medical imaging

Answer: Federated Learning of Generative Image Priors for MRI Reconstruction

Medicine and Life Sciences


Question: I am developing an AI model to predict county-level cardiovascular disease burden in a low-resource country by integrating local clinic records, satellite air quality data, and mobile network statistics. However, health officials are skeptical of the model's complex "black-box" predictions and refuse to use them for resource allocation without clear reasoning. Can you recommend papers that introduce methods for making such multi-modal, geospatial AI models for public health burden estimation interpretable to non-technical decision-makers?

Answer: An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro

Answer: Explainable machine learning models to analyse maternal health

Answer: Socioeconomic and Behavioral Drivers of Geographic Disparities in U.S. Cardiovascular Mortality: A Machine Learning Analysis

Answer: Machine learning identifies environmental drivers of pulmonary tuberculosis in Xinjiang a typical arid region of China

Answer: Deciphering the climate-malaria nexus: A machine learning approach in rural southeastern Tanzania

Answer: High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S

Answer: Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects

Answer: Visualizing Type 2 Diabetes Prevalence: Localizing Model Feature Impacts

Answer: Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study

Answer: Opioid Overdose Death Prediction Using Machine Learning and Risk Factor Analysis Using SHAP Values for US Counties

Answer: Machine learning based suicide prediction and development of suicide vulnerability index for US counties

Answer: Decoding Urban-health Nexus: Interpretable Machine Learning Illuminates Cancer Prevalence based on Intertwined City Features

Answer: HEALTH-ML: A Machine Learning Framework for Equity-Driven Public Health Outcome Prediction

Answer: Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models

Medicine and Life Sciences


Question: Regarding the current IGBT devices, where AlN ceramic plates are used as substrates, and there is a problem of low bonding strength between the AlN substrate and the copper layer during the metalization process, I would like to ask if there are any studies in this direction that can enhance the bonding strength? The literature should be published from January 1, 2023 to November 1, 2025.

Answer: Fabrication of AlN/Cu composite structure via laser surface metallization assisted direct bonding technology

Answer: Exploring Novel Substrate Designs and Circuit Fabrication Techniques for Advanced Power Electronics Packaging

Answer: Comprehensive influences of manufacturing process integrated with thermal cycling test loading on mechanical responses of power module

Answer: Impact of bonding methods and surface finishes on terminal-substrate reliability in EV power modules

Answer: Effect of interfacial structure on peel strength between Cu and AlN bonded with a Mg–Ti co-deposited film

Answer: Bonding mechanism between the AlN ceramic matrix and the copper-based metal cladding layer

Answer: Interface stress analysis and bonding strengthening exploration of metal layer on the laser-activated copper-clad AlN

Answer: Design of Cu/Zr Alloy Interface for Enhanced Thermal Fatigue Performance in Electronic Packaging

Answer: Mechanical and heat transfer properties of AlN/Cu joints based on nanosecond laser-induced metallization

Answer: Effect of fabrication conditions on Cu film formation on Al2O3 and AlN substrates by friction stirring

Answer: Effect of Sn element on the interfacial reinforced AlN/Cu joint brazed by Ag–Cu–Ti–(Snx) filler

Answer: Microstructure and mechanical properties of AlN and Cu joint using SnAgTi solder metal

Answer: The impact of TiC particle addition to Ag–Cu-Ti filler material on the microstructure and mechanical properties of AlN ceramic/Cu brazed joints

Answer: Microstructure and mechanical properties of high-quality AlN/Cu joints brazed by a novel AgCuTi + AlCoCrFeNi2.1 composite brazing alloy

Answer: Effect of Ni foam on the microstructure and properties of AlN ceramic/Cu brazed joint

Answer: Constructing a heterogeneous interlayer in relieving the residual stresses for the AlN/Cu brazed joint used in IGBT

Answer: Laser Applications in Ceramic and Metal Joining: A Review

Answer: Heat-resistant durability of AMB substrates for SiC power devices: AlN and Si3N4, which one is thermally strong?

Answer: Cu patterns with high adhesion strength and fine resolution directly fabricated on ceramic boards by ultrafast laser modification assisted metallization

Answer: The design of nano-porous photocatalytic intermediate layer to fabricate the copper layer on AlN ceramic with high bonding strength through the interlocking microstructure.

Engineering and Technology


Question: High-entropy alloy coatings, due to their multiple alloy properties, are widely applied in various fields. Currently, it is necessary to prepare high-entropy alloy coatings on cutting tools, with the main components including aluminum, tungsten, and molybdenum. The coating is required to have higher hardness and better high-temperature stability. The publication time of the paper should be from January 2023 to October 2025.

Answer: High-temperature tribological properties of tungsten carbide reinforced high-entropy-alloy composite coating by laser cladding

Answer: Study on the wear mechanism of high-entropy alloy coated tools and grain evolution in micro-cutting of TC4 titanium alloy

Answer: High-Speed Milling of Heat-Resistant Alloys with Tools with High-Entropy Wear-Resistant Coatings

Answer: Improvement of high temperature wear resistance of laser-cladding high-entropy alloy coatings: A review

Answer: Exploring microstructural, interfacial, mechanical, and wear properties of AlSi7Mg0. 3 composites with TiMOVWCr high-entropy alloy powder

Answer: Recent Advances in High-Temperature Properties of High-Entropy Alloys

Answer: High-Entropy Alloy Films

Answer: Analysis of Technologies for Applying High-Entropy Coatings by Physical Deposition Method

Answer: Quo Vadis: AlCr-Based Coatings in Industrial Applications

Answer: High-temperature oxidation behavior of laser-cladded refractory Al0.75NbNi0.1Mo0.1Cr0.5Si0.1Wx high-entropy coatings

Engineering and Technology


Question: Could you help me retrieve papers on grounding grid corrosion diagnosis published in electrical engineering journals in the past two years? I’ll attach the previous checklist; please revise and polish it to fit this topic.

Answer: Research on the diagnosis method of grounding grid conductor integrity based on blind source separation algorithm and grey relational analysis

Answer: Evaluation of grounding grid corrosion extent based on laser-induced breakdown spectroscopy (LIBS) combined with machine learning

Answer: On-Site Electrochemical Detection of Corrosion in Substation Grounding System

Engineering and Technology


Question: I am currently addressing the issue of multi-algorithm citation comparison for underdetermined systems of equations, but I lack sufficient relevant research papers. Please help me find academic papers on the applications of metaheuristic algorithms in the field of underdetermined systems of equations, published before November 2025, with a preference for novel algorithms. The search directions are not restricted to any specific areas.

Answer: Solving systems of nonlinear equations with real world problems using an advanced hybrid algorithm

Answer: A Solution Method for Non-Linear Underdetermined Equation Systems in Grounding Grid Corrosion Diagnosis Based on an Enhanced Hippopotamus Optimization Algorithm

Answer: A novel multiobjective optimization algorithm for sparse signal reconstruction

Answer: Sparse signal reconstruction by swarm intelligence algorithms

Answer: Cuckoo Search Based Backcalculation Algorithm for Estimating Layer Properties of Full-Depth Flexible Pavements

Artificial Intelligence and Computing


Question: I'm currently writing a review paper on reinforcement learning for fault diagnosis, but due to the specific nature of the fault diagnosis task, I can't determine whether reinforcement learning is directly applied to the fault diagnosis task itself. Could you recommend some papers that demonstrate how reinforcement learning directly determines the fault category?

Answer: Intelligent Fault Diagnosis for Planetary Gearbox Using Time-Frequency Representation and Deep Reinforcement Learning

Answer: Fault Diagnosis of Rotating Machinery Based on Deep Reinforcement Learning and Reciprocal of Smoothness Index

Answer: Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach

Answer: A new intelligent fault diagnosis framework for rotating machinery based on deep transfer reinforcement learning

Answer: A deep reinforcement transfer convolutional neural network for rolling bearing fault diagnosis

Answer: A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis

Answer: A deep reinforcement learning-based intelligent fault diagnosis framework for rolling bearings under imbalanced datasets

Answer: A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis

Answer: A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation

Answer: An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning

Answer: Research on intelligent fault diagnosis for railway point machines using deep reinforcement learning

Answer: A reinforcement double deep Q-network with prioritised experience replay for rolling bearing fault diagnosis

Answer: Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method

Answer: A Reinforcement Learning System for Fault Detection and Diagnosis in Mechatronic Systems

Answer: A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis

Answer: Environment adaptive deep reinforcement learning for intelligent fault diagnosis

Answer: Deep reinforcement learning for class imbalance fault diagnosis of equipment in nuclear power plants

Answer: Development of deep reinforcement learning-based fault diagnosis method for rotating machinery in nuclear power plants

Artificial Intelligence and Computing


Question: Could you please find any papers that use reinforcement learning methods for remaining lifetime prediction? Reinforcement learning is not used as an optimization technique to improve the remaining lifetime prediction model, but rather to directly perform the remaining lifetime prediction task. The input to reinforcement learning is not network parameter weights, but sequence data.

Answer: A Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Reinforcement Learning

Answer: Health Indicator Construction Based on Multisensors for Intelligent Remaining Useful Life Prediction: A Reinforcement Learning Approach

Answer: A soft actor-critic reinforcement learning-based method for remaining useful life prediction

Answer: Method for remaining useful life prediction of rolling bearings based on deep reinforcement learning

Answer: Remaining Useful Life Estimation in Prognostics Using Deep Reinforcement Learning

Answer: A ResNet-Based Deep Reinforcement Learning Framework Using Soft Actor-Critic for Remaining Useful Life Prediction of Rolling Bearings

Answer: Remaining Useful Life Prediction of Power MOSFETs Based on Deep Reinforcement Learning

Answer: A Generative Reinforcement Learning Framework for Predictive Analytics

Answer: A Deep Reinforcement Learning Approach for Early Classification of Time Series

Artificial Intelligence and Computing


Question: Please identify papers published in MICCAI, IEEE TMI, or CVPR (between 2023 and 2024) that utilize Federated Learning for medical image analysis. The papers must specifically address the Non-IID (Heterogeneous data) problem using Prototype Learning or Contrastive Learning techniques.

Answer: FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification

Answer: Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning

Answer: FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-aware Aggregation

Answer: FACMIC: Federated Adaptative CLIP Model for Medical Image Classification

Answer: FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity

Medicine and Life Sciences


Question: I want to adapt the Segment Anything Model (SAM) for medical image segmentation (e.g., CT/MRI) specifically under weakly-supervised settings (using points or bounding boxes as sparse prompts). I am looking for papers published in 2023 or 2024 that propose adapter modules or fine-tuning strategies to improve SAM's performance on medical data without full-model retraining. (before Nov).

Answer: Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Answer: 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation

Answer: MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation

Answer: Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models

Answer: NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation

Answer: Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation

Medicine and Life Sciences