Shiwei Zhu

Robustness Analysis of USmorph. II. Optimizing Feature Extraction, Dimensionality Reduction, and Clustering for Unsupervised Galaxy Morphology Classification

Guanwen Fang, Xiaolei Yin, Yirui Zheng, Zesen Lin et autres

Abstract We conduct a systematic robustness analysis of the unsupervised machine learning module within the hybrid framework USmorph . This module automatically discovers morphological structures from large-scale galaxy images, forming the foundation of the complete classification workflow. We evaluate five pretrained models …

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Dual-coding contrastive learning based on ConvNeXt and ViT models for morphological classification of galaxies in COSMOS-Web

Shiwei Zhu, Guanwen Fang, Chi-Chun Zhou, Jie Song et autres

In our previous works, we proposed a machine learning framework named \texttt{USmorph} for efficiently classifying galaxy morphology. In this study, we propose a self-supervised method called contrastive learning to upgrade the unsupervised machine learning (UML) part of the \texttt{USmorph} framework, aiming to …

Robustness Analysis of USmorph. I. Generalization Efficiency of Unsupervised Strategies and Supervised Learning in Galaxy Morphological Classification

Shiwei Zhu, Guanwen Fang, Yao Dai, Chi-Chun Zhou et autres

Abstract We conduct a systematic robustness analysis of the hybrid machine learning framework USmorph , which integrates unsupervised and supervised learning for galaxy morphological classification. Although USmorph has already been applied to nearly 100,000 I -band galaxy images in the COSMOS field …

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Visual analysis of application of functional electrical stimulation in rehabilitation therapy field

Mengmin Li, Zeyu Chen, Shiwei Zhu, Mingjun Zhang

Functional electrical stimulation (FES), as an important technology in the field of rehabilitation therapy, plays a key role in the recovery of motor function and improvement of the quality of life of patients with neurological diseases. In order to explore the application …

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Dual-coding Contrastive Learning Based on the ConvNeXt and ViT Models for Morphological Classification of Galaxies in COSMOS-Web

Shiwei Zhu, Guanwen Fang, Chi-Chun Zhou, Jie Song et autres

Abstract In our previous works, we proposed a machine learning framework named USmorph for efficiently classifying galaxy morphology. In this study, we propose a self-supervised method called contrastive learning to upgrade the unsupervised machine learning (UML) part of the USmorph framework, aiming …

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Enhancing atrial fibrillation detection in PPG analysis with sparse labels through contrastive learning

Qihan Hu, Daomiao Wang, Shiwei Zhu

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BPS2025 - Cryo-ET visualization of a massive antimicrobial human defense complex against infection

Shiwei Zhu, John D. MacMicking

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Topic Identification and Content Analysis of Functional Electrical Stimulation in Rehabilitation Based on BERTopic Model

Ping Fan Yang, Shiwei Zhu, Yanqing Zhao, Zeyu Chen et autres

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SYNCHRONIZATION OF EVENT-DRIVEN MANAGEMENT DURING DATA COLLECTION

Valeriy O. Kuzminykh, Oleksandr Kоval, Yevhen V. Havrylko, Beibei Xu et autres

The article considers an approach to implementing the architecture of a microservice system for processing large volumes of data based on the event-oriented approach to managing the sequence of using individual microservices. This becomes especially important when processing large volumes of data …

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Role of urinary trace elements in diabetic kidney disease: a cross-sectional analysis

Tianrui Gao, Jia Lv, Lizhen Lu, Lijuan Guo et autres

INTRODUCTION: The balance of trace elements plays an important role in diabetic kidney disease (DKD) patients. However, studies on the differences in urinary trace elements across different DKD stages are scarce. This study aimed to explore the associations between nine essential trace …

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Dendritic cell mineralocorticoid receptor controls blood pressure by regulating T helper 17 differentiation: role of the Plcβ1/4–Stat5–NF-κB pathway

Yongli Wang, Hong Ping Zhu, Yi-Tong Pan, Da Shang et autres

BACKGROUND AND AIMS: Dendritic cells (DCs) are closely related to blood pressure (BP) regulation. Mineralocorticoid receptor (MR) is an important drug target for antihypertensive treatment. However, the role of DC MR in the pathogenesis of hypertension has not been fully elucidated. This …

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The Gut Microbiota Mediates the Protective Effects of Spironolactone on Myocardial Infarction

Lu Li, Jianyong Sun, Yulin Li, Shiwei Zhu et autres

Myocardial infarction (MI) is a type of cardiovascular disease that influences millions of human beings worldwide and has a great rate of mortality and morbidity. Spironolactone has been used as a critical drug for the treatment of cardiac failure and it ameliorates …

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