Výsledky vyhledávání

Akademický článek

Clinical characteristics of patients with puerperal schizophrenia

Autor: Lu Xiaohua, Li Haijing, Kuang Qijie, Yi Wenying, Xia Yu, Zhou Nyunan, Zheng Yingjun, She Shenglin

Publikováno v: Sichuan jingshen weisheng, Vol 37, Iss 1, Pp 52-56 (2024)

BackgroundWomen may develop severe symptoms of stress disorder following childbirth， which may be exposed to a risk of developing mental health problems， and even lead to the recurrence of the illness in female patients with schizophrenia， whil

Externí odkaz: https://doaj.org/article/f464d7e5ce0340e1ad39e8be7f9c595b

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Akademický článek

Research on Social Media, Short Video, Digitization and International Communication of Chinese Culture

Autor: Lu Xiaohua, Ba Ningrui

Publikováno v: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)

Social media have become a pivotal platform for countries to engage in international discourse in the context of globalization and integration. In this study, a six-degree communication model is utilized to construct the online communication body of

Externí odkaz: https://doaj.org/article/080c1ad01d2e498cae506de3718afd9f

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Akademický článek

Protective mechanism of soy extracted isoflavones genistein against apoptosis using network pharmacology

Autor: LU Xiaohua, JIN Guifang, YU Hehan, YANG Hong

Publikováno v: Journal of Holistic Integrative Pharmacy, Vol 2, Iss 3, Pp 221-232 (2021)

Objective: This study aimed to predict the action targets of genistein (GEN) in apoptosis using network pharmacology and to explore their potential multitarget and multipathway mechanisms. Additionally, a key Alzheimer’s disease signal pathway, whi

Externí odkaz: https://doaj.org/article/3117bf9098974446b193984507391d49

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Report

A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs

Autor: Lu, Xiaohua, Yang, Leshanshui

In this paper, we explore different approaches to anomaly detection on dynamic knowledge graphs, specifically in a Micro-services environment for Kubernetes applications. Our approach explores three dynamic knowledge graph representations: sequential

Externí odkaz: http://arxiv.org/abs/2408.06121

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Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction

Autor: Lu, Xiaohua, Xie, Liangxu, Xu, Lei, Mao, Rongzhi, Chang, Shan, Xu, Xiaojun

Accurately predicting molecular properties is a challenging but essential task in drug discovery. Recently, many mono-modal deep learning methods have been successfully applied to molecular property prediction. However, the inherent limitation of mon

Externí odkaz: http://arxiv.org/abs/2312.17495

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