A5073165185- Material Dynamics and Properties
- Ethics and Social Impacts of AI
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Phase Equilibria and Thermodynamics
- Acute Myocardial Infarction Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Coronary Interventions and Diagnostics
- Cardiovascular Function and Risk Factors
- Face recognition and analysis
- Spectroscopy and Quantum Chemical Studies
- Generative Adversarial Networks and Image Synthesis
- Liver Disease Diagnosis and Treatment
- Atmospheric aerosols and clouds
- Erythropoietin and Anemia Treatment
- Genetics and Neurodevelopmental Disorders
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Heart Failure Treatment and Management
- Antiplatelet Therapy and Cardiovascular Diseases
- Nonlinear Dynamics and Pattern Formation
- Atmospheric chemistry and aerosols
- Advanced Thermodynamics and Statistical Mechanics
- Theoretical and Computational Physics
- Microtubule and mitosis dynamics
China-Japan Friendship Hospital
2022-2025
Peking University
2022-2025
Chongqing University
2024
Harbin Institute of Technology
2021-2024
Wuhan University of Technology
2024
Brandeis University
2020-2023
Model Animal Research Center
2020
Nanjing University
2020
Ministry of Industry and Information Technology
2019
Beihang University
2019
Background Heart failure (HF) guidelines recommend routine testing for iron deficiency (ID) and, those with ID, intravenous if the left ventricular ejection fraction is <50%. Guideline adherence to these recommendations by cardiologists in China unknown. Methods and results An independent academic web-based survey was designed distributed via social networks across China. Overall, 1342 (median age 34 years, IQR 30–39, 51% women) from all provinces of completed this survey. More than half...
Fair clustering aims to hide sensitive attributes during data partition by balancing the distribution of protected subgroups in each cluster. Existing work attempts address this problem reducing it a classical balanced with constraint on proportion input space. However, space may limit performance, and so far only low-dimensional datasets have been considered. In light these limitations, paper, we propose Deep Clustering (DFC) learn fair clustering-favorable representations for...
Background Coronary microvascular dysfunction (CMD) is a pathophysiological feature of diabetic heart disease. However, whether sodium-glucose cotransporter 2 (SGLT2) inhibitors protect the cardiovascular system by alleviating CMD not known. Objective We observed protective effects empagliflozin (EMPA) on CMD. Materials and methods The mice were randomly divided into db/db group + EMPA group, db/m served as controls. At 8 weeks age, was given 10 mg/(kg⋅d) gavage for weeks. Body weight,...
Abstract Predicting structures accurately for natural protein sequences by DeepMind’s AlphaFold is certainly one of the greatest breakthroughs in biology twenty-first century. For designed or engineered sequences, which can be unstable, predicting stabilities together with their essential since unstable will not function properly. We found that experimentally measured stability changes point mutations correlate poorly confidence scores produced AlphaFold. However, predicted using features...
In this paper, we present a two-stream multi-task network for fashion recognition. This task is challenging as clothing always contain multiple attributes, which need to be predicted simultaneously real-time industrial systems. To handle these challenges, formulate recognition into learning problem, including landmark detection, category and attribute classifications, solve it with the proposed deep convolutional neural network. We design two knowledge sharing strategies enable information...
In this paper, we focus on the fairness issues regarding unsupervised outlier detection. Traditional algorithms, without a specific design for algorithmic fairness, could implicitly encode and propagate statistical bias in data raise societal concerns. To correct such unfairness deliver fair set of potential candidates, propose Deep Clustering based Fair Outlier Detection (DCFOD) that learns good representation utility maximization while enforcing learnable to be subgroup-invariant sensitive...
We aimed to investigate the effect of triglyceride glucose (TyG) index on association between diabetes and cardiovascular disease (CVD).Data from 6,114 individuals were extracted analyzed China Health Retirement Longitudinal Survey (CHARLS) 2011 2018. Logistic regression analyses conducted assess relationship CVD across various TyG groups. The statistical method subgroup analysis was used determine correlation for each group by sex, history hypertension dyslipidemia, smoking,...
We aimed to investigate the association between triglyceride glucose index and cardiovascular disease (CVD) development in Chinese middle-aged elderly population using China Health Retirement Longitudinal Study dataset 2011-2018.Basic characteristics of participants, including sociodemographic information, health conditions, were acquired. Logistic regression analyses restricted cubic spline conducted future CVD risks. Subgroup performed evaluate potential interaction.Seven hundred...
Being able to track an anonymous object, a model-free tracker is comprehensively applicable regardless of the target type. However, designing such generalized framework challenged by lack object-oriented prior information. As one solution, real-time object tracking approach designed in this work relying on Convolutional Neural Networks (CNNs). To overcome object-centric information scarcity, both appearance and motion features are deeply integrated proposed AMNet, which end-to-end offline...
The question of 'what is the structure water?' has been regarded as one major scientific conundrums in condensed-matter physics due to complex phase behavior and condensed supercooled water. Great effort made so far using both theoretical analysis based on various mathematical models computer simulations such molecular dynamics first-principle. However, these simulation studies often do not have strong evidences support. In this study, a cooperative domain model formulated describe dynamic...
Abstract Heart failure (HF) is a major global healthcare problem leading to substantial deterioration of prognosis. The current clinical guidelines in HF have begun emphasize the importance traditional Chinese medicine (TCM). TCM has been utilized practice for over 2000 years and capable treating variety pathogenic issues. This review summarizes classification, pathophysiology, treatment from three perspectives: Western medicine, TCM, integrated (ITCWM). Emphasizing most recent evidence,...
Abstract Water displays numerous anomalously thermodynamic behaviors. However, the working principles behind these anomalies are not well understood, and liquid-liquid phase transition (LLPT) is often regarded as potential reason. In this study, we developed an entropy trap model to characterize LLPT in dual-amorphous water, i.e. having both low-density high-density liquid water. From Adam-Gibbs free-volume theory, behaviors of water have been described using proposed model, which...
<title>Abstract</title> <italic>Background:</italic> Heart failure (HF) is a prevalent global health issue with increasing incidence due to aging populations and advancements in treatment. The Cardiometabolic Index (CMI), new marker combining waist-to-height ratio the triglycerides-to-HDL cholesterol ratio, has shown promise predicting cardiovascular risks. However, relationship between CMI HF remains unclear, warranting further investigation. This study aims examine association better...
Ice-templating technology has recently attracted extensive attention to achieve programed structure-property relationships in porous soft matter scaffolds. However, there is a huge gap existed between theoretical understanding and practical applications of nucleation kinetics growth ice crystals supercooled water. This paper establishes model crystal water, for designing ice-templating scaffolds with programmable relationship. A phase transition was firstly formulated characterize...
Patent lifespan is commonly used as a quantitative measure in patent assessments. holders maintain exclusive rights by paying significant maintenance fees, suggesting strong correlation between patent’s and its business potential or economic value. Therefore, accurately forecasting the duration of great significance. This study introduces highly effective method that combines LightGBM, sophisticated machine learning algorithm, with customized loss function derived from Focal Loss. The...
ST-segment elevation myocardial infarction (STEMI) with high thrombus burden is associated a poor prognosis. Manual aspiration thrombectomy reduces coronary vessel distal embolisation, improves microvascular perfusion and cardiovascular deaths, but it promotes more strokes transient ischaemic attacks in the subgroup burden. Intrathrombus thrombolysis (ie, local delivery of thrombolytics into thrombus) recently proposed treatment approach that theoretically volume risk dysfunction. However,...
Face alignment has been extensively researched in computer vision while remaining a challenging task. Direct face based on convolutional neural networks (CNN) without relying cascaded regression recently emerged and achieved promising performance. In this paper, we propose multi-scale aggregation network (MAN) for direct by aggregating features from intermediate layers of CNN. Specifically, MAN adopts new architecture to aggregate at all scales different semantic levels, which establishes...
An in-depth understanding of liquid-liquid phase transition (LLPT) in condensed water will gain insight into anomalous behaviors dual-amorphous water. Despite numerous experimental, molecular simulation, and theoretical studies, it is yet to achieve a widely accepted consensus with convinced evidence the matter physics for two-state In this work, model proposed based on Avrami equation, commonly used describe first-order transitions, elucidate complex homogeneous inhomogeneous condensation...
With the fast development of algorithmic governance, fairness has become a compulsory property for machine learning models to suppress unintentional discrimination. In this paper, we focus on pre-processing aspect achieving fairness, and propose data reweighing approach that only adjusts weight samples in training phase. Different from most previous methods which usually assign uniform each (sub)group, granularly model influence sample with regard fairness-related quantity predictive...