Yi Zou

Association between social jet lag and estimated 10-year cardiovascular risk: a population-based study of data from the National Health and Nutrition Examination Survey

Liangguo Chen, Boqun Shi, Chu Fan, Yi Zou et autres

This cross-sectional study investigates the association between social jet lag (SJL), a measurement of chronotype misalignment between workdays and free days, and estimated 10-year cardiovascular risk based on the National Health and Nutrition Examination Survey (2017–2020 cycle). SJL was measured as the …

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SIRT2 Delays Vulnerable Plaque Progression by Modulating Vascular Smooth Muscle Cell Senescence

Leli Zhang, Pengrong Guo, Yue Wang, Zhenbai Qin et autres

The rupture of vulnerable plaques (VPs) serves as the pathophysiological foundation for the occurrence of acute coronary syndrome (ACS). The senescence of vascular smooth muscle cells (VSMCs) is pivotal in the formation and even rupture of VPs. Although previous studies have demonstrated …

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Genomic and phenotypic characterization of two novel human-derived Limosilactobacillus reuteri strains with unique probiotic traits

Lijuan Yang, Hongyu Zhan, Xiaoyu Wu, Aoqi Wang et autres

Background Limosilactobacillus reuteri is recognized for its diverse host-beneficial functions, though these are highly strain-specific. This study aimed to genomically and functionally characterize two novel L. reuteri isolates to assess their potential for specific health-associated applications. Methods We isolated and genomically sequenced …

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Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive Care IV (MIMIC-IV) Database

Boqun Shi, Shuo Pang, Yue Wang, Shen Wang et autres

BACKGROUND: Accurate mortality risk prediction is crucial for effective cardiovascular risk management. Recent advancements in artificial intelligence (AI) have demonstrated potential in this specific medical field. Qwen-2 and Llama-3 are high-performance, open-source large language models (LLMs) available online. An artificial neural network …

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Research on Control of Winch Type Heave Compensation System Based on Speed Prediction of SVR

Tibing Xiao, Yi Zou, Qiang Zhou

Taking the energy-saving winch-type heave compensation system suitable for actual working conditions as the application object, a practical method for predicting the heave motion speed of a floating platform is studied. With the goal of improving the compensation accuracy of the compensation …

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Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive Care IV (MIMIC-IV) Database (Preprint)

Boqun Shi, Shuo Pang, Yue Wang, Shen Wang et autres

BACKGROUND Accurate mortality risk prediction is crucial for effective cardiovascular risk management. Recent advancements in artificial intelligence (AI) have demonstrated potential in this specific medical field. Qwen-2 and Llama-3 are high-performance, open-source large language models (LLMs) available online. An artificial neural network …

Gut Microbiota‐Derived 3‐Hydroxybutyrate Blocks GPR43‐Mediated IL6 Signaling to Ameliorate Radiation Proctopathy

Zhenhuang Ge, Chun Chen, Junyi Chen, Zhou Jiang et autres

Radiation proctopathy (RP) is a common complication of radiotherapy for pelvic malignancies with high incidence. RP accompanies by microbial dysbiosis. However, how the gut microbiota affects the disease remains unclear. Here, metabolomics reveals that the fecal and serous concentrations of microbiota-derived 3-hydroxybutyrate …

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A high-fat diet promotes cancer progression by inducing gut microbiota–mediated leucine production and PMN-MDSC differentiation

Jiewen Chen, Xiyuan Liu, Yi Zou, Junli Gong et autres

A high-fat diet (HFD) is a high-risk factor for the malignant progression of cancers through the disruption of the intestinal microbiota. However, the role of the HFD-related gut microbiota in cancer development remains unclear. This study found that obesity and obesity-related gut …

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Study of Boolean networks via matrices of support

Yangjiang Wei, Yi Zou

In this paper, we investigate the dynamics of Boolean networks by using their matrices of support. We derive properties about the transients, fixed points, and limit cycles. We also study the graph properties of the phase spaces of Boolean networks, and show …

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Predicting recurrence in osteosarcoma via a quantitative histological image classifier derived from tumour nuclear morphological features

Zhan Wang, Haoda Lu, Yan Wu, Shihong Ren et autres

Abstract Recurrence is the key factor affecting the prognosis of osteosarcoma. Currently, there is a lack of clinically useful tools to predict osteosarcoma recurrence. The application of pathological images for artificial intelligence‐assisted accurate prediction of tumour outcomes is increasing. Thus, the present …

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Translational selenium nanotherapeutics counter-acts multiple risk factors to improve surgery-induced cognitive impairment

Xiaosheng Liang, Ting Liu, Linpeng Li, Jieli Li et autres

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“Half-wet-half-dry”: an innovation in undergraduate laboratory classes to generate transgenic mouse models using CRISPR/Cas9 and computer simulation

Linpeng Li, Chao Song, Ma Yi, Yi Zou

Animal models are widely used in laboratory practicals in biomedical disciplines. However, experiments involving animal work are usually time-and-labor consuming. It is also costly to run an animal lab and the animal caring/holding request special training. Here we present a laboratory course …

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