A5049982592- Misinformation and Its Impacts
- Vaccine Coverage and Hesitancy
- Topic Modeling
- Machine Learning in Healthcare
- COVID-19 epidemiological studies
- COVID-19 and Mental Health
- SARS-CoV-2 and COVID-19 Research
- Data-Driven Disease Surveillance
- Biomedical Text Mining and Ontologies
- Artificial Intelligence in Healthcare
- Physics of Superconductivity and Magnetism
- VLSI and FPGA Design Techniques
- Invertebrate Immune Response Mechanisms
- Low-power high-performance VLSI design
- Natural Language Processing Techniques
- Hate Speech and Cyberbullying Detection
- 2D Materials and Applications
- Mental Health via Writing
- Topological Materials and Phenomena
- Interpreting and Communication in Healthcare
- Healthcare Systems and Public Health
- Infectious Diseases and Tuberculosis
- Reproductive biology and impacts on aquatic species
- Domain Adaptation and Few-Shot Learning
- Organic Light-Emitting Diodes Research
Yale University
2022-2025
Soochow University
2025
Fudan University
2020-2024
Peking University
2020-2024
Nanjing University of Posts and Telecommunications
2024
National Laboratory of Solid State Microstructures
2024
American Health Network
2023
Institute of Electrical and Electronics Engineers
2023
Antea Group (France)
2023
Huazhong University of Science and Technology
2020
Understanding public behavioral responses to the coronavirus disease (COVID-19) epidemic and accompanying infodemic is crucial controlling epidemic.The aim of this study was assess real-time awareness COVID-19 across 12 selected countries.Internet surveillance used collect data from general rumors (China: Baidu; worldwide: Google Trends) behavior Ali Index; Shopping). These indices measured daily number searches or purchases were compared with numbers cases. The trend comparisons countries...
Summary Background Using social media surveillance data, this study aimed to assess public attention, risk perception, emotion, and behavioural response the COVID-19 outbreak in real time. Methods We collected data from most popular medias: Sina Weibo, Baidu search engine, Ali e-commerce marketplace, 1 Dec 2019 15 Feb 2020. Weibo post counts searches were used generate indices assessing attention. Public intention actual adoption of recommended protection measures or panic buying triggered...
<title>Abstract</title> Recent advancements in large language models (LLMs) such as ChatGPT and LLaMA have hinted at their potential to revolutionize medical applications, yet application clinical settings often reveals limitations due a lack of specialized training on medical-specific data. In response this challenge, study introduces Me-LLaMA, novel LLM family that includes foundation – Me-LLaMA 13/70B, along with chat-enhanced versions 13/70B-chat, developed through continual pre-training...
Background: Using social media surveillance data, this study aimed to assess public attention and awareness, risk perception, emotion, behavioural response the COVID-19 outbreak in real time.Methods: We collected data from three most popular platforms China: Sina Weibo (microblog), Baidu search engine, Ali e-commerce marketplace, beginning of outbreak, 1 Dec 2019, 15 Feb 2020. Quantitative including post counts, Hot Search ranking, searches were used generate indices assessing awareness....
Serial functional status assessments are critical to heart failure (HF) management but often described narratively in documentation, limiting their use quality improvement or patient selection for clinical trials.
Abstract Circularly polarized luminescent (CPL) materials have garnered tremendous attention owing to their expanded optical properties beyond emission wavelength and intensity. Among these, the emerging circularly organic ultralong room‐temperature phosphorescence (CP‐OURTP) materialsdemonstrating elegant distinct features are of significant importance for extended lifetime, which represent a novel frontier in research with promising scientific technological applications across diverse...
In China, the shortage of doctors leads to stressful clinical work and increasing turnover. Medical students undergoing postgraduate specialty training will be country's medical workforce in coming decades, but are also subject high workloads academic pressure. This may have significant implications for burnout career choice regret. Despite importance regret, status relationship these aspects Chinese neurology postgraduates largely unexplored, associated factors remain unknown. study...
Massive community-wide testing has become the cornerstone of management strategies for COVID-19 pandemic.This study was a comparative analysis between United Kingdom and China, which aimed to assess public attitudes uptake regarding testing, with focus on factors hesitancy, including effectiveness, access, risk perception, communication.We collected manually coded 3856 UK tweets 9299 Chinese Sina Weibo posts mentioning from June 1 July 15, 2020. Adapted World Health Organization's 3C Model...
Background COVID-19 cases resurged worldwide in the second half of 2020. Not much is known about changes public responses to containment measures from initial outbreak resurgence. Monitoring crucial inform policy prepare for Objective This study aimed assess and compare during resurgence China. Methods We curated all COVID-19–related posts Sina Weibo (China’s version Twitter) Beijing, With a Python script, we constructed subsets focusing on 3 measures: lockdown, test-trace-isolate strategy,...
The effectiveness of public health intervention, such as vaccination and social distancing, relies on support adherence. Social media has emerged a critical platform for understanding fostering engagement with interventions. However, the lack real-time surveillance issues leveraging data, particularly during emergencies, leads to delayed responses suboptimal policy adjustments. To address this gap, we developed PH-LLM (Public Health Large Language Models Infoveillance)-a novel suite large...
Recent advancements in large language models (LLMs) show significant potential medical applications but are hindered by limited specialized knowledge. We present Me-LLaMA, a family of open-source LLMs integrating extensive domain-specific knowledge with robust instruction-following capabilities. Me-LLaMA is developed through continual pretraining and instruction tuning LLaMA2 using diverse biomedical clinical data sources (e.g., literature notes). evaluated on six text analysis tasks 12...
1T'-TaTe2 exhibits an intriguing first-order structural phase transition at around 170 K. Understanding the electronic properties is a crucial way to comprehend origin of transition. We performed combined optical and ultrafast pump-probe study on compound across temperature. The leads abrupt changes both spectra relaxation dynamics. measurements revealed sudden reconstruction band structure. elaborate that first order can not be attributed conventional density-wave type instability. Our work...
An ongoing monitoring of national and subnational trajectory COVID-19 vaccine hesitancy could offer support in designing tailored policies on improving uptake.We aim to track the temporal spatial distribution confidence expressed Twitter during entire pandemic period major English-speaking countries.We collected 5,257,385 English-language tweets regarding vaccination between January 1, 2020, June 30, 2022, 6 countries-the United States, Kingdom, Australia, New Zealand, Canada, Ireland....
Objective To assess spatiotemporal trends in, and determinants of, the acceptance of coronavirus disease 2019 (COVID-19) vaccination globally, as expressed on social media platform X (formerly Twitter).Methods We collected over 13 million posts regarding COVID-19 made between November 2020 March 2022 in 90 languages.Multilingual deep learning XLM-RoBERTa models annotated all using an annotation framework after being finetuned 8125 manually annotated, English-language posts.The results were...
Nonlinear responses of superconductors to intense terahertz radiation has been an active research frontier. Using pump-terahertz probe spectroscopy, we investigate the c-axis nonlinear optical response a high-temperature superconducting cuprate. After excitation by single-cycle pump pulse, reflectivity pulse oscillates as pump-probe delay is varied. Interestingly, oscillatory central frequency scales linearly with frequency, fact widely overlooked in experiments. By theoretically solving...
The ultrafast manipulation of quantum material has led to many novel and significant discoveries. Among them, the light-induced transient superconductivity in cuprates achieved by melting competing stripe orders represents a highly appealing accomplishment. However, recent investigations have shown that notion photoinduced remains topic controversy, its elucidation solely through <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"...
ABSTRACT Introduction Serial functional status assessments are critical to heart failure (HF) management but often described narratively in documentation, limiting their use quality improvement or patient selection for clinical trials. We developed and validated a deep learning-based natural language processing (NLP) strategy extract from unstructured notes. Methods identified 26,577 HF patients across outpatient services at Yale New Haven Hospital (YNHH), Greenwich (GH), Northeast Medical...
The ridgetail white prawn, Exopalaemon carinicauda, has advantages in its rapid growth and strong environmental adaptability, it is a good species for the biological research of crustaceans. To explore function pcna gene ovarian development crustaceans, we cloned (Ec-pcna) from E. carinicauda. open reading frame 786 bp, encodes total 261 aa. A PCNA/RFC (replication factor C) domain exists at 208–254 aa, according to phylogenetic analysis, amino acid sequence Ec-pcna highest similarity with...
Abstract Background This study developed deep learning models to monitor global intention and confidence of Covid-19 vaccination in real time. Methods We collected 6.73 million English tweets regarding globally from January 2020 February 2021. Fine-tuned Transformer-based were used classify time as they relate confidence. Temporal spatial trends performed map the prevalence confidence, public engagement on social media was analyzed. Findings Globally, proportion indicating intent accept...
<sec> <title>BACKGROUND</title> Understanding public behavioral responses to the coronavirus disease (COVID-19) epidemic and accompanying infodemic is crucial controlling epidemic. </sec> <title>OBJECTIVE</title> The aim of this study was assess real-time awareness COVID-19 across 12 selected countries. <title>METHODS</title> Internet surveillance used collect data from general rumors (China: Baidu; worldwide: Google Trends) behavior Ali Index; Shopping). These indices measured daily number...
ABSTRACT Background COVID-19 vaccination has faced a range of challenges from supply-side barriers such as insufficient vaccine supply and negative information environment demand-side centring on public acceptance confidence in vaccines. This study assessed global spatiotemporal trends demand- to uptake using COVID-19-related social media data explored the country-level determinants acceptance. Methods We accessed total 13,093,406 tweets sent between November 2020 March 2022 about 90...