A5084784478- Face and Expression Recognition
- COVID-19 and Mental Health
- Hydrological Forecasting Using AI
- Emotion and Mood Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- COVID-19 diagnosis using AI
- Oral Health Pathology and Treatment
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Child and Adolescent Psychosocial and Emotional Development
- Advanced Vision and Imaging
- Handwritten Text Recognition Techniques
- Optical measurement and interference techniques
- Stock Market Forecasting Methods
- Radiomics and Machine Learning in Medical Imaging
- Image Processing Techniques and Applications
- Reservoir Engineering and Simulation Methods
- Digital Media Forensic Detection
- Salivary Gland Disorders and Functions
- Fire Detection and Safety Systems
- Genomic variations and chromosomal abnormalities
- Medical Research and Treatments
- Advanced Malware Detection Techniques
- Digital Mental Health Interventions
Zhongnan University of Economics and Law
2024-2025
Wenzhou Medical University
2025
Ruian People's Hospital
2025
Huazhong University of Science and Technology
2006-2024
Icahn School of Medicine at Mount Sinai
2024
Adelaide Institute for Sleep Health
2023
Flinders University
2023
Xi’an Jiaotong-Liverpool University
2023
Sichuan University
2010-2022
Chinese Academy of Medical Sciences & Peking Union Medical College
2016-2022
Outbreak in Hubei Province, ChinaAs the coronavirus disease 2019 (COVID-19) epidemic progressed Wuhan, province, China, Chinese government ordered a nationwide school closure.More than 180 million students China were restricted to their homes (http:// www.chinanews.com/sh/2020/02-17/9094648.shtml).The COVID-19 infection has become global pandemic.As of April 9, 2020, caused 188 countrywide closures around world and affected 1 576 021 818 learners...
In this paper, we focus on exploring the robustness of 3D object detection in point clouds, which has been rarely discussed existing approaches. We observe two crucial phenomena: 1) accuracy hard objects, e.g., Pedestrians, is unsatisfactory, 2) when adding additional noise points, performance approaches decreases rapidly. To alleviate these problems, a novel TANet introduced mainly contains Triple Attention (TA) module, and Coarse-to-Fine Regression (CFR) module. By considering...
新型冠状病毒肺炎死亡尸体系统解剖大体观察报告.摘要：.法医病理学；尸体解剖；冠状病毒；新型冠状病毒肺炎.
Abstract Prelithiation technology is widely considered a feasible route to raise the energy density and elongate cycle life of lithium‐ion batteries. The principle prelithiation introduce extra active Li ions in battery so that lithium loss during first charge long‐term cycling can be compensated. Such an effect does not need change major electrode material or structure compatible with majority current production lines. At this stage, various methods have been reported, some which are...
Background: The coronavirus disease 2019 (COVID-19) has become a worldwide pandemic since mid-December 2019, which greatly challenge public medical systems. With limited resources, it is natural strategy, while adopted, to access the severity of patients then determine treatment priority. However, our work observes fact that condition many mild outpatients quickly worsens in short time, i.e. deteriorate into severe/critical cases. Hence, been crucial early identify those cases and give...
Abstract As COVID-19 is highly infectious, many patients can simultaneously flood into hospitals for diagnosis and treatment, which has greatly challenged public medical systems. Treatment priority often determined by the symptom severity based on first assessment. However, clinical observation suggests that some with mild symptoms may quickly deteriorate. Hence, it crucial to identify patient early deterioration optimize treatment strategy. To this end, we develop an early-warning system...
BackgroundUnder the COVID-19 pandemic, nurses are mainstay in fight against pandemic.PurposeTo evaluate potential impact of pandemic on nurses' professional identity.MethodSelf-report questionnaires were distributed online. Data collected compared with available norms. Multivariate logistic regression analyses employed to calculate OR frontline vs. nonfrontline nurses.FindingsThe mean total score scale was 121.12 out 150. Both and scores five dimensions significantly higher than Frontline...
Abstract Background A temporal network of generalized anxiety disorder (GAD) symptoms could provide valuable understanding the occurrence and maintenance GAD. We aim to obtain an exploratory conceptualization GAD identify central symptom. Methods sample participants ( n = 115) with elevated GAD-7 scores (Generalized Anxiety Disorder 7-Item Questionnaire [GAD-7] ≥ 10) participated in online daily diary study which they reported their based on DSM-5 diagnostic criteria (eight total) for 50...
As the coronavirus disease 2019 (COVID-19) pandemic progressed globally, school closures and home quarantine may cause an increase in problematic Internet use among students universities. Such a traumatic stress event also contribute to development of posttraumatic disorder (PTSD), depressive, anxiety symptoms. This study aimed evaluate prevalence PTSD, symptoms as well predictive role above-mentioned psychological problems university students.
Background Emergency and intensive care unit nurses are the main workforce fighting against COVID-19. Their professional identity may affect whether they can actively participate be competent in tasks during pandemic. Objective To examine level of changes Chinese emergency as COVID-19 pandemic builds. Methods A cross-sectional survey composed Professional Identity Scale for Nurses plus 2 open-ended questions was administered to through an online questionnaire. Results had a medium identity....
Exposures to heavy metals has been linked many developmental disorders. However, few studies have investigated the effects of exposure and co-exposure on dyslexia, especially with regard dyslexics in China.To investigate association between urine metal concentrations dyslexia a case-control study among children China.A was conducted Tongji Reading Environment Dyslexia (READ) research program. A total 228 controls were matched gender, age (within one year), grade. The 21 measured by an...
Facial expression recognition (FER) plays an important role in cognitive psychology research. In FER studies, deep convolutional neural networks (CNNs) and attention mechanisms have shown great advantages over traditional techniques. Although many attention-based CNN models been developed, most of them are proposed to deal with grayscale images. For color images, these network usually take their versions as the input or convert data by first hidden layer. Furthermore, modules focus on only...
Salinity management in estuarine systems is crucial for developing effective water-management strategies to maintain compliance and understand the impact of salt intrusion on water quality availability. Understanding temporal spatial variations salinity a keystone salinity-management practices. Process-based numerical models have been traditionally used estimate environments. Advances data-driven (e.g., deep learning models) make them efficient alternatives process-based models. However,...
Facial expression recognition (FER) is an essential subject of computer vision and human-computer interaction. It has been reported that many factors are closely related to the FER performance such as pose, facial muscle variations, ignored color information in images. In this study, we propose a quaternion capsule neural network (Q-CapsNet) with region attention mechanism for The proposed Q-CapsNet end-to-end deep learning framework, which adopts concept theory Capsule Neural Network...
Green innovation is an important starting point for implementing new developmental concepts and promoting high-quality development in the modern era. We construct integrated analysis framework based on environment–resource–subject configuration. Using 30 provinces regions China as example, we employ dynamic qualitative comparative method to study configuration path of multi-factor interactions affecting green ecosystem. The results indicate that (1) single factors are not necessary...
COVID-19 remains a significant global public health challenge. While nucleic acid tests, antigen and CT imaging provide high accuracy, they face inefficiencies limited accessibility, making rapid convenient testing difficult. Recent studies have explored detection using acoustic signals, such as cough breathing sounds. However, most existing approaches focus solely on audio classification, often leading to suboptimal accuracy while neglecting valuable prior information, clinical symptoms. To...
Water resources management in estuarine environments for water supply and environmental protection typically requires estimates of salinity various flow operational conditions. This study develops applies two novel deep learning (DL) models, a residual long short-term memory (Res-LSTM) network, gated recurrent unit (Res-GRU) model, estimating the spatial temporal variations salinity. Four other machine (ML) previously developed reported, consisting multi-layer perceptron (MLP), network...