A5024527740- Mobile Crowdsensing and Crowdsourcing
- Evacuation and Crowd Dynamics
- Human Mobility and Location-Based Analysis
- Hepatitis B Virus Studies
- Hepatitis C virus research
- Viral Infections and Vectors
- Indoor and Outdoor Localization Technologies
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- UAV Applications and Optimization
- Machine Learning in Healthcare
- Animal Disease Management and Epidemiology
- Liver Disease Diagnosis and Treatment
- Distributed Control Multi-Agent Systems
- T-cell and Retrovirus Studies
- Viral Infections and Outbreaks Research
- Reinforcement Learning in Robotics
- Healthcare and Venom Research
- Fungal Infections and Studies
- Vector-borne infectious diseases
- Cancer Risks and Factors
- Diagnosis and treatment of tuberculosis
- Streptococcal Infections and Treatments
- Plant-based Medicinal Research
- Vector-Borne Animal Diseases
Fuzhou University
2019-2024
Chengdu University of Technology
2022
Shaoxing People's Hospital
2017-2021
Zhejiang University
2020-2021
Centers for Disease Control and Prevention
2012-2014
Shaoxing University
2004-2014
Chinese Center For Disease Control and Prevention
2012-2013
Center for Disease Control
2013
Anhui Medical University
2012
Guangdong Medical College
2012
Severity prediction of COVID-19 remains one the major clinical challenges for ongoing pandemic. Here, we have recruited a 144 patient cohort, resulting in data matrix containing 3,065 readings 124 types measurements over 52 days. A machine learning model was established to predict disease progression based on cohort consisting training, validation, and internal test sets. panel eleven routine factors constructed classifier severity prediction, achieving accuracy 98% discovery set. Validation...
Background: In February 2009, a high school student was diagnosed with sputum-smear positive pulmonary tuberculosis (TB). One year later, 2 other students in the same grade developed TB.Methods: We used tuberculin skin testing (TST), chest radiography, sputum smear, and symptomatology for case identification. defined latent TB infection (LTBI) as TST induration of 15 mm or larger, probable radiograph indicative plus productive cough/hemoptysis at least weeks confirmed more smears 1 smear...
ABSTRACT Severity prediction of COVID-19 remains one the major clinical challenges for ongoing pandemic. Here, we have recruited a 144 patient cohort consisting training, validation, and internal test sets, longitudinally recorded 124 routine laboratory parameters, built machine learning model to predict disease progression based on measurements from first 12 days since onset when no became severe. A panel 11 factors, including oxygenation index, basophil counts, aspartate aminotransferase,...
This study aimed to assess the likelihood of an outbreak or epidemic emerging infectious diseases (EIDs) in Shaoxing city, China, and its resulting impact provide decision makers with quantitative, directive results. Factors related risk EIDs were selected through meeting experts arranged a hierarchical structure. These evaluation factors also weighted allow use point system for evaluation. As result, 14 comprising 3-layer hierarchy generated. The riskiest top 10 HIV/AIDS (consistency index...
Mobile Crowdsensing (MCS) is a sensing paradigm that enables large-scale smart city applications, such as environmental and traffic monitoring. However, traditional MCS often suffers from performance degradation due to the limited spatiotemporal coverage of collected data. In this context, Sparse has been proposed, which utilizes data inference algorithms recover full sparse by users. existing approaches overlook fractures, where no observed either for subarea across all time slots (temporal...
Sparse mobile crowdsensing (MCS) is a cost-effective data collection paradigm that aims to recruit users collect from part of sensing subareas and infer the rest. In more realistic scenario, participate in real-time along way. For missing inference, significance collected different often varies over time. However, since users' trajectories are uncertain, recruiting who can cover important spatio-temporal presents challenge. Additionally, how segment budget wisely during recruitment another...
Nucleus(t)ide analogs (NAs), containing Lamivudine (LMV), adefovir dipivoxil (ADV), endeavor (ETV), telbivudine (LdT), and tenofovir (TDF) are widely used for the treatment of chronic hepatitis B (CHB), but long term anti-Hepatitis virus (HBV) therapy with NAs may give rise to emergence drug-resistant viral mutants.This study aimed find identify some new resistance mutations HBV from patients accepted anti-HBV therapy.The reverse transcriptase (RT) coding region was PCR-amplified using DNA...
Chronic hepatitis B virus (CHB) infection is a major cause of cirrhosis and hepatocellular carcinoma. Nucleoside analogs (NAs) are popularly used to treat chronic (HBV) infections; however, the anti-HBV effect attenuated by drug-resistant viral mutations selected during long-term antiviral therapy. The timely analysis drug-resistance essential in order adjust treatment regimes. In this study, T1699C substitution was introduced into x gene pHBV1.3 generate an additional XhoI site, termed...
Efficiently obtaining the up-to-date information in disaster-stricken area is key to successful disaster response. Unmanned aerial vehicles (UAVs), workers and cars can collaborate accomplish sensing tasks, such as life detection task areas. In this paper, we explicitly address route planning for a group of agents, including UAVs, workers, cars, with goal maximizing completion rate. propose MARL-based heterogeneous multi-agent algorithm called MANF-RL-RP. The has made targeted designs terms...
Sparse crowdsensing collects data from a subset of the sensing area and infers for unsensed areas, reducing collection costs. Previous works have primarily focused on independently collecting inferring single types data. However, real-world scenarios often involve multiple that can complement each other by providing missing spatiotemporal distribution information. In this paper, we fully consider both intra-data correlations among same type inter-data different types, enabling collaborative...
Objective To understand the prevalence of negative life events and its association with depressive, anxiety symptoms dissatisfaction school among middle students in Shaoxing, to provide scientific evidence for further interventions. Methods A total number 3 197 (including 1 134 urban 2 063 town adolescents) were recruited from schools their average age was (13.73±1.03) years. The Multidimensional Life Events Rating Questionnaire Middle School Students (MLERQ), Depression Self-rating...
Hepatitis B virus (HBV) is a persistent pathogen that causes acute and chronic necroinflammatory liver disease attributable to ~1 million deaths per year. In the present study, conventional murine model was introduced based on hydrodynamic injection of engineered replication‑competent HBV DNA into tail veins C57BL/6 mice. previous nine in‑frame ATG (start) codons in S open reading frame (S1‑S9) were analyzed. The highly conserved S5 mutated ACG by T378C, which led substitution sM75T...
The online judgment system tests whether the source code can pass problem's test cases in programming contests. Users only need to click submit button on front-end page, and will return judge results after a certain period. Although there are many systems for contests, few teaching adopting microservice architecture. This paper aims design implement an teaching. system's adopts Vue Element-Ui framework, back-end architecture development. On one hand, using improve students' ability teachers'...
Efficiently obtaining the up-to-date information in disaster-stricken area is key to successful disaster response. Unmanned aerial vehicles (UAVs), workers and cars can collaborate accomplish sensing tasks, such as data collection, areas. In this paper, we explicitly address route planning for a group of agents, including UAVs, workers, cars, with goal maximizing task completion rate. We propose MANF-RL-RP, heterogeneous multi-agent algorithm that incorporates several efficient designs,...