A5101596824- Machine Learning in Healthcare
- Impact of Technology on Adolescents
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare and Education
- Digital Mental Health Interventions
- Bacterial Identification and Susceptibility Testing
- Image Retrieval and Classification Techniques
- Polymer composites and self-healing
- Advanced Image and Video Retrieval Techniques
- Magnetism in coordination complexes
- Characterization and Applications of Magnetic Nanoparticles
- Evolutionary Game Theory and Cooperation
- Mental Health via Writing
- Fuel Cells and Related Materials
- Advanced Condensed Matter Physics
- Polydiacetylene-based materials and applications
- Polyoxometalates: Synthesis and Applications
- Hydrogels: synthesis, properties, applications
- Polymer Surface Interaction Studies
- Graphene and Nanomaterials Applications
- Transactional Analysis in Psychotherapy
- Multimodal Machine Learning Applications
- Building materials and conservation
- Technology Use by Older Adults
- Social Media in Health Education
Xinyang Normal University
2023-2025
East China Normal University
2024
Shanghai Artificial Intelligence Laboratory
2024
Hainan General Hospital
2021
Hainan Medical University
2021
Chinese Academy of Medical Sciences & Peking Union Medical College
2021
Northwest University
2010-2020
Ministry of Education of the People's Republic of China
2017-2020
China XD Group (China)
2019
Anshan Normal University
2012
The emergence of various medical large language models (LLMs) in the domain has highlighted need for unified evaluation standards, as manual LLMs proves to be time-consuming and labor-intensive. To address this issue, we introduce MedBench, a comprehensive benchmark Chinese domain, comprising 40,041 questions sourced from authentic examination exercises reports diverse branches medicine. In particular, is composed four key components: Medical Licensing Examination, Resident Standardization...
Although Internet has become the main way of access to health and medical information for most young people today, it might not be case with older people. The elderly that have difficulty using rely largely on their family members obtain evaluate online information. purpose this study is investigate students' proxy seeking behavior members, look into how they search, evaluate, even apply from Internet. paper going explore influencing factors students as well concerns difficulties encounter...
Metal ions play critical roles in wide range of biochemical and physiological processes, but they can cause toxicity if excessive ingestion or misregulation. Chelating agents offer an efficient mean for metal intoxication therapeutics diseases. Studies on ion-chelator interactions are important understanding the reaction mechanism developing new specific chelator drugs. However, it remains a significant challenge to detect at molecular level. Here, we report label-free nanopore sensing...
<title>Abstract</title> <bold>Background:</bold>The rapid expansion of social media has given rise to a myriad challenges among college students facing psychological distress. An abundance fragmented and repetitive information, often referred as information overload, inundates users on platforms. This inundation presents significant hurdles for experiencing distress when acquiring processing information. study investigates the associative mechanisms between overload in context avoidance...
Abstract Background The utilization of short videos by individuals often leads to the emergence information exchange behavior. Previous studies have shown that certain students with psychological disorders exhibit addictive tendencies towards video-related software. Therefore, it is essential address psychology and behavior college while engaging videos. This study aims explore mechanism video interaction among disorders. Methods We conducted semi-structured interviews 30 afflicted in a...
Remote Sensing Large Multi-Modal Models (RSLMMs) are developing rapidly and showcase significant capabilities in remote sensing imagery (RSI) comprehension. However, due to the limitations of existing datasets, RSLMMs have shortcomings understanding rich semantic relations among objects complex scenes. To unlock RSLMMs' comprehension ability, we propose a large-scale instruction tuning dataset FIT-RS, containing 1,800,851 samples. FIT-RS covers common interpretation tasks innovatively...
The synthesis of antiferromagnets (AFMs) has attracted extensive attention in the area magnetic devices, such as spintronics and memory devices. Following our initial work on employment homo-valent diruthenium(iii,iii) paddle wheel species with high spin states (S = 2) building blocks active components for construction molecule-based materials, reaction mixed-valent diruthenium(ii,iii) phosphates Ru2(H2PO4)2(H1.5PO4)2(H2O)2·2H2O (1) H2O2, Cu2+ ACl (A K, Rb Cs) aqueous solution led to...
<title>Abstract</title> Background The potential category analysis method was used to explore the categories of adolescents' cognitive impairment in Internet use, and differences influencing factors adolescents with different characteristics use each scale were analyzed. Method Potential classify disordered multiple classification logistic regression analyze effects various on categories. Result Adolescents' can be divided into four types, among which 19.61% are avoidance self-satisfaction...
Having a large number of timely donations during the early stages COVID-19 breakout would normally be considered rare. Donation is special public goods game with zero yield for donors, and it has characteristics prisoners’ dilemma. This paper discusses why in occurred. Based on idea that donation strategy adopted by players interconnection account their understanding environment, donation-related populations are placed social networks inter-correlation structures population described...
Scene graph generation (SGG) in satellite imagery (SAI) benefits promoting intelligent understanding of geospatial scenarios from perception to cognition. In SAI, objects exhibit great variations scales and aspect ratios, there exist rich relationships between (even spatially disjoint objects), which makes it necessary holistically conduct SGG large-size very-high-resolution (VHR) SAI. However, the lack datasets with VHR SAI has constrained advancement Due complexity mining triplets...
With the proliferation of Large Language Models (LLMs) in diverse domains, there is a particular need for unified evaluation standards clinical medical scenarios, where models to be examined very thoroughly. We present CliMedBench, comprehensive benchmark with 14 expert-guided core scenarios specifically designed assess ability LLMs across 7 pivot dimensions. It comprises 33,735 questions derived from real-world reports top-tier tertiary hospitals and authentic examination exercises. The...
Multi-spectral information of remote sensing offers a variety spatial and temporal scales vegetation indexes for the surface environmental earth. Normalized index (NDVI), which is known as best instruction factor vegetation, most widely used now. Information capacity based on multi-dimensional histogram an evaluation model grayscale digital image quality. Its size connected with meaningful gray level image. While NDVI corresponds to space complexity regional land cover. This paper studied...