A5031099164- Domain Adaptation and Few-Shot Learning
- Privacy-Preserving Technologies in Data
- HIV Research and Treatment
- HIV/AIDS Research and Interventions
- HIV-related health complications and treatments
- Mental Health Research Topics
- Cardiovascular Health and Disease Prevention
- Adolescent Sexual and Reproductive Health
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Tryptophan and brain disorders
- Behavioral Health and Interventions
- Food Security and Health in Diverse Populations
- COVID-19 diagnosis using AI
- Air Quality and Health Impacts
- EEG and Brain-Computer Interfaces
- Antioxidants, Aging, Portulaca oleracea
- Cardiovascular Disease and Adiposity
- Sex work and related issues
- Decision-Making and Behavioral Economics
- Stochastic Gradient Optimization Techniques
- Artificial Intelligence in Healthcare and Education
- Fluorine in Organic Chemistry
- Cardiac Health and Mental Health
- HIV, Drug Use, Sexual Risk
- Dementia and Cognitive Impairment Research
Northwestern Polytechnical University
2022-2023
Beijing Institute of Big Data Research
2023
Ministry of Industry and Information Technology
2022
Duke University
2019-2021
University of Florida
1998-2020
Shanghai Tenth People's Hospital
2019
Florida College
2019
Chinese Center For Disease Control and Prevention
2014
Shanxi Medical University
2012
Tobacco use is one of the greatest public health problems worldwide and hazards cigarette smoking to call for better recognition behaviors guide evidence-based policy. Protection motivation theory (PMT) provides a conceptual framework investigate tobacco use. Evidence from diverse sources implies that dynamics behavior may be quantum in nature, consisting an intuition analytical process, challenging traditional linear continuous approach. In this study, we used cusp catastrophe, nonlinear...
The effect of the Keep Moving toward Healthy Heart and Brain (KM2H2) program at 6-month post intervention has been assessed. purpose this study is to evaluate KM2H2 30-month intervention. A total 450 senior hypertensive patients from 12 community health centers were randomized by center either receive plus standard care (6 centers, n = 232) or only 218). Data for outcome measures analyzed. New cases stroke heart attack verified with medical records; levels physical activity assessed using...
ABSTRACT Introduction The complex relationships among HIV knowledge, condom‐use skills, self‐efficacy, peer influence and intention to use condoms have been rigorously investigated. However, studies guided by a linear behavior change model often explain only limited amount of variances. This study aims advance our understanding the through nonlinear quantum paradigm. Methods Data (n = 1970, 40.61% male, mean age 16.94 ± 0.74) from behavioral intervention program high school students in...
Objective To evaluate the impact of harm reduction programs on HIV and syphilis infection related risk behaviors among female sex workers (FSWs) in a drug trafficking city Southwest China. Design Before after program study. Methods Two cross-sectional surveys were conducted FSWs before launched Xichang city, Sichuan province. The first second 2004 2010, respectively. Temporal changes odds HIV, syphilis, behavioral factors assessed by multivariable logistic regression while controlling for...
Evidence regarding the association between HIV viral load (VL) and hypertension is inconsistent. In this study, we investigated relationship using viremia copy-years (VCY), a cumulative measure of plasma burden.Data were analyzed for 686 PLWH in Florida Cohort Study, who had at least five years VL data before baseline. extracted from Enhanced HIV/AIDS Reporting System (eHARS) used to define peak (pVL), recent (rVL), undetectable (uVL: rVL<50copies/mL). A five-year VCY (log10 copy × years/mL)...
This paper proposes a representation learning model to identify task-state fMRIs for knowledge-concept recognition, which has the potential human cognitive expression system. The traditional CNN-LSTM is usually employed learn deep features from fMRIs, where CNN aims at extracting spatial structure and LSTM accounts temporal structure. However, manifold smoothness of latent caused by fMRI sequence often ignored, leading unsteady data representation. In this paper, we as hidden Markov chain...
Increased body mass index (BMI) and HIV are each associated with hypertension. This study tested interactions between BMI detectable plasma viral load (pVL) on hypertension among 659 persons living (PLWH). All participants were categorized into four subgroups based (<25 ≥25 kg/m
Exploration of the real-time relationship between substance use and delay discounting may reveal potential mechanisms driving high-risk behaviors. We conducted an ecological momentary assessment (EMA) study to investigate effects on in a sample people who stimulants (HIV+: 30; HIV-: 34). Participants completed multiple EMAs throughout day for 28 days. The collected data (time since last level intoxication). Delay was assessed using brief Monetary Choice Questionnaire (MCQ). Analyses were...
Federated learning (FL) allows a large number of clients to improve their respective models through training shared global model. However, passing the same model is not conducive few and leads loss localization information. In practical, there are often some prior information that can be between clients. Our study takes into account use such calculate personalized for each client, resulting in an enhanced federated framework, dubbed PerFL short, advantage available client features with other...
Objective: Growing evidence indicated the significance of exercise on prevention cardiovascular diseases. However, effect walking activity hypertensive mediated organ damage (HMOD) remains unclear.Design and method: 2830 community-dwelling residents (age>65 years) in northern Shanghai were recruited from June 2014 to 2018. Weekly (low-intensity activity) was evaluated by standard questionnaire based International Physical Activity Questionnaires-short form, including how many days spent at...
This paper studies the problem of developing contrastive learning into privacy-protected federated (FL), which is to achieve more data samples for model training. The existing methods usually encourage global and local models in FL be same one, often ignoring heterogeneity clients. In this paper, we proposed a method personalized improve performance each client's task, by representation simultaneously. Our novel framework that borrows scheme (CL), where one CL branch while other divided...
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