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Introduction. Depressive disorder is one of the most widespread forms of mental disorders which lead to a significant public health concern, such as disability, suicide, and so on. Its etiology remains vague but it is believed that depressive disorder is a multifactorial disease which is induced by the interaction of social, psychological, and biological factors. Thus, there is no clear and definite pathological theory could illustrate its mechanism independently until now, involving genetics, neuroimaging, neuroinflammation, neuroendocrine, and others. Comprehensive assessment to patients with depression is the starting point for a right diagnosis. History-taking of physical condition is as important as psychiatric interview and rational usage of scales would be beneficial for screening. There are many kinds of therapeutic measures for depressive patients nowadays, including general intervention, pharmacotherapy, psychotherapy, and physical therapy. For now, anti-depressants used in clinical practice is almost monoamine-based drugs while much more progress have been made in developing new antidepressant medications, like prototypical N-methyl-D-aspartate (NMDA) receptor antagonists, opioid agonists, gamma-aminobutyric acid (GABAA) receptors, and psychedelics. Once these novel drugs are proved to be practicable, it will create a historical evolution in the field of psychiatry. In addition, we advocate that measurement-based care (MBC) should run through the whole duration of treatment and goals of MBC in every stage are different. As brain projects in many countries are conducting in inspiring ways, we believe that our understanding about depressive disorder, of course, and other neuropsychiatric disorders will be better in the future.
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1
Effects of different nose types on class II treatments for female patients. BACKGROUND: The aim of this study was to evaluate the effect of different nose types on the perception of facial aesthetics following camouflage treatment and orthognathic surgery for skeletal class II female patients.METHODS: A pre-treatment profile photograph of a skeletal class II adult patient was selected from the department archive. Two constructed photographs were created to represent orthognathic surgery and camouflage treatments with the aid of computer software. A total of 18 constructed images was composed using three profiles (pre-treatment, post-camouflage, and post-orthognathic surgery) and six nose types. These photographs were shown to the three groups (orthodontists, plastic surgeons, and lay people), and they were asked to assign an attractiveness score to each photo ranging from 0 to 100, with 0 indicating the least attractive and 100 indicating the most attractive.RESULTS: For the convex nose profiles, anterior movement of the mandible obtained by orthognathic surgery did not result in a significant change in the scores given by the lay people. When surgical or camouflage treatment was not implemented and, instead, just rhinoplasty was performed for these profiles, there was a significant increase in the aesthetic scores given by all groups. For the straight nose profiles, orthognathic surgery increased the attractiveness scores given by all groups. Furthermore, for all the profiles, extraction treatment did not affect the aesthetic scores given by any of the groups (P > 0.05).CONCLUSIONS: The lay people perceived that having a convex-bridged nose was a bigger problem than having a retrognathic profile. Overall, in terms of skeletal and dental orthodontic treatments, nose shape should be considered during the treatment planning process.
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2
"[Effect of moxibustion pretreatment at different time on ovarian function in rats with dimini-shed (...TRUNCATED)
[0.01568666845560074,-0.0010146672138944268,0.048772525042295456,-0.029181314632296562,0.03863441571(...TRUNCATED)
3
"[Effect of electroacupuncture or moxibustion of \"Tianshu\" (ST25) on intragastric pressure in rats(...TRUNCATED)
[0.01820872537791729,-0.0011805096874013543,0.0551697202026844,-0.02473125420510769,0.02812840417027(...TRUNCATED)
4
"[Analysis on the distribution of pressure- and heat-sensitive acupoints in patients with allergic r(...TRUNCATED)
[0.007746332325041294,0.0015052916714921594,0.024761201813817024,-0.04113336279988289,0.009268537163(...TRUNCATED)
5
"[Effect of \"Buqi Yixue\" needling on neurological function and nerve conduction velocity in patien(...TRUNCATED)
[-0.011755507439374924,0.00040982893551699817,0.031665123999118805,-0.03044200874865055,0.0202493723(...TRUNCATED)
6
"[Influence of different courses of electroacupuncture treatment on compliance and therapeutic outco(...TRUNCATED)
[-0.00735328858718276,0.001292701344937086,0.08541902154684067,-0.026458406820893288,0.0118861375376(...TRUNCATED)
7
"[Effect of \"Yinqi Guiyuan\" needling on primary insomnia]. OBJECTIVE: To observe the clinical effe(...TRUNCATED)
[-0.008207892999053001,-0.021251972764730453,0.06293853372335434,-0.021251972764730453,0.04659086093(...TRUNCATED)
8
"[A modified device for transcutaneous electrical auricular concha stimulation in rats]. In the pres(...TRUNCATED)
[0.021226773038506508,0.005475696176290512,0.05813702195882797,-0.0027716485783457756,-0.00067601189(...TRUNCATED)
9
"Experimental transmission of infectious spleen and kidney necrosis virus (ISKNV) from freshwater or(...TRUNCATED)
[-0.007093527819961309,0.013695425353944302,0.007550042122602463,-0.028233645483851433,0.03469507768(...TRUNCATED)
End of preview. Expand in Data Studio

BioASQ-BEIR Vector Database Dataset (3072d, 1M)

Generated embeddings dataset for vector database training and evaluation.

Dataset Summary

This dataset contains 1,000,000 text samples with vector embeddings (3072 dimensions) generated from the BioASQ-BEIR dataset using Qwen/Qwen3-Embedding-8B.

Dataset Structure

  • Base dataset: 1,000,000 samples with embeddings
  • Embedding dimension: 3072

Repository Structure

parquet/

  • base.parquet - Main dataset with text and embeddings

Usage

from datasets import load_dataset

dataset = load_dataset("maknee/bioasq_bier_3072_1m")
base_data = dataset["train"]

import numpy as np
embeddings = np.array(base_data["embedding"])
texts = base_data["text"]

Dataset Information

  • Source: BioASQ-BEIR
  • Size: 1,000,000 samples
  • Dimension: 3072
  • Format: Parquet

Citation

@dataset{huggingface_embeddings_maknee_bioasq_bier_3072_1m,
  title={BioASQ-BEIR Vector Database Embeddings Dataset},
  author={Henry Zhu},
  year={2026},
  url={https://huggingface.co/datasets/maknee/bioasq_bier_3072_1m}
}

License

MIT License.

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