Min Song
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View article: Role and mechanism of botanical drugs and their metabolites in osteoporosis: new strategies for clinical application
Role and mechanism of botanical drugs and their metabolites in osteoporosis: new strategies for clinical application Open
Osteoporosis, the most prevalent bone disease worldwide, is characterized by reduced bone mineral density and microarchitectural deterioration. Current pharmacological agents for osteoporosis management include bisphosphonates, calcitonin,…
View article: Landscape of Physical Activity and Quality of Life Research in Breast Cancer Survivors: Topic Modeling Analysis
Landscape of Physical Activity and Quality of Life Research in Breast Cancer Survivors: Topic Modeling Analysis Open
Background/Objectives: Physical activity (PA) is widely recognized as a beneficial approach to improving the health-related quality of life (HRQoL) of breast cancer survivors. This study explored key research topics and emerging trends in …
View article: PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science
PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science Open
Papers, patents, and clinical trials are essential scientific resources in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored in disparate databases with varying management standards and…
View article: Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot Open
Goal-oriented chatbots are essential for automating user tasks, such as booking flights or making restaurant reservations. A key component of these systems is Dialogue State Tracking (DST), which interprets user intent and maintains the di…
View article: PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science
PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science Open
Papers, patents, and clinical trials are essential scientific resources in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored in disparate databases with varying management standards and…
View article: Mechanism of Yi-Qi-Bu-Shen Recipe for the Treatment of Diabetic Nephropathy Complicated with Cognitive Dysfunction Based on Network Pharmacology and Experimental Validation
Mechanism of Yi-Qi-Bu-Shen Recipe for the Treatment of Diabetic Nephropathy Complicated with Cognitive Dysfunction Based on Network Pharmacology and Experimental Validation Open
YQBS exerts anti-inflammatory effects on DN with CD through TLR4/NF-κB pathway. This study provides a biological basis for the scientific usage of YQBS in inflammation diseases and supplies experimental evidence for future traditional Chin…
View article: CAT: Contrastive Adapter Training for Personalized Image Generation
CAT: Contrastive Adapter Training for Personalized Image Generation Open
The emergence of various adapters, including Low-Rank Adaptation (LoRA) applied from the field of natural language processing, has allowed diffusion models to personalize image generation at a low cost. However, due to the various challeng…
View article: Editorial: Text mining-based mental health research
Editorial: Text mining-based mental health research Open
EDITORIAL article Front. Res. Metr. Anal., 22 March 2024Sec. Text-Mining and Literature-Based Discovery Volume 9 - 2024 | https://doi.org/10.3389/frma.2024.1388691
View article: Using Explainable <scp>AI</scp> to Understand Team Formation and Team Impact
Using Explainable <span>AI</span> to Understand Team Formation and Team Impact Open
The citation of scientific papers is considered a simple and direct indicator of papers' impact. This paper predicts papers' citations through team‐related variables, team composition, and team structure. Team composition includes team siz…
View article: A Generative <scp>Drug–Drug</scp> Interaction Triplets Extraction Framework Based on Large Language Models
A Generative <span>Drug–Drug</span> Interaction Triplets Extraction Framework Based on Large Language Models Open
Drug–Drug Interaction (DDI) may affect the activity and efficacy of drugs, potentially leading to diminished therapeutic effect or even serious side effects. Therefore, automatic recognition of drug entities and relations involved in DDI i…
View article: An automatic hypothesis generation for plausible linkage between xanthium and diabetes
An automatic hypothesis generation for plausible linkage between xanthium and diabetes Open
There has been a significant increase in text mining implementation for biomedical literature in recent years. Previous studies introduced the implementation of text mining and literature-based discovery to generate hypotheses of potential…
View article: Study on complications of osteoporosis based on network pharmacology
Study on complications of osteoporosis based on network pharmacology Open
Osteoporosis is a serious threat to human life. Guben Zenggu Granule is an empirical prescription for clinical treatment of osteoporosis. MC3T3-E1 cells are mouse osteogenic precursor cells with osteogenic differentiation, and are classic …
View article: Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning
Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning Open
Background Extracting metastatic information from previous radiologic-text reports is important, however, laborious annotations have limited the usability of these texts. We developed a deep-learning model for extracting primary lung cance…
View article: MLM-based Typographical Error Correction of Unstructured Medical Texts for Named Entity Recognition
MLM-based Typographical Error Correction of Unstructured Medical Texts for Named Entity Recognition Open
Background Unstructured texts in the medical fields such as Electronic Health Records contain an enormous amount of valuable information for research, but it is difficult to extract and structure important information because of frequent t…
View article: How to promote student participation and improve online teaching
How to promote student participation and improve online teaching Open
By analysing the shortcomings of online teaching, this paper explores how to improve students’ participation and online teaching quality by improving information-based teaching equipment, teaching environment, teachers’ correct guidance, i…
View article: Pandemics are catalysts of scientific novelty: Evidence from <scp>COVID</scp>‐19
Pandemics are catalysts of scientific novelty: Evidence from <span>COVID</span>‐19 Open
Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First‐time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of res…
View article: Critical Discourse Analysis of Chinese English News Reports from the Perspective of Ecolinguistics
Critical Discourse Analysis of Chinese English News Reports from the Perspective of Ecolinguistics Open
This study makes a Critical Discourse Analysis of the ecological and non-ecological features of Chinese English news reports and holds that news reports ultimately serves the interest groups it represents and cannot get rid of its ideologi…
View article: Toward a Coronavirus Knowledge Graph
Toward a Coronavirus Knowledge Graph Open
This study builds a coronavirus knowledge graph (KG) by merging two information sources. The first source is Analytical Graph (AG), which integrates more than 20 different public datasets related to drug discovery. The second source is COR…
View article: An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation
An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation Open
Background In the analysis of electronic health records, proper labeling of outcomes is mandatory. To obtain proper information from radiologic reports, several studies were conducted to classify radiologic reports using deep learning. How…
View article: An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation (Preprint)
An Attention Model With Transfer Embeddings to Classify Pneumonia-Related Bilingual Imaging Reports: Algorithm Development and Validation (Preprint) Open
BACKGROUND In the analysis of electronic health records, proper labeling of outcomes is mandatory. To obtain proper information from radiologic reports, several studies were conducted to classify radiologic reports using deep learning. Ho…
View article: Pandemics are catalysts of scientific novelty: Evidence from COVID-19
Pandemics are catalysts of scientific novelty: Evidence from COVID-19 Open
Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of res…
View article: Are we there yet? Analyzing scientific research related to COVID-19 drug repurposing
Are we there yet? Analyzing scientific research related to COVID-19 drug repurposing Open
Drug repurposing may be a pivotal means of fulfilling urgent needs for treatment of the novel coronavirus disease 2019 (COVID-19), but current studies on drug repurposing for COVID-19 seem to show a lack of consensus in their drug candidat…