检索结果-南通市图书馆

Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks

在线全文

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 638-648页

作者： xiaoting Du Lei Zou Maiying zhong the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China IEEE the College of Information Science and Technology Donghua UniversityShanghai 201620 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China

The present study addresses the problem of fault estimation for a specific class of nonlinear time-varying complex networks,utilizing an unknown-input-observer approach within the framework of dynamic event-triggered mechanism(DETM).In order to optimize communication resource utilization,the DETM is employed to determine whether the current measurement data should be transmitted to the estimator or *** guarantee a satisfactory estimation performance for the fault signal,an unknown-input-observer-based estimator is constructed to decouple the estimation error dynamics from the influence of fault *** aim of this paper is to find the suitable estimator parameters under the effects of DETM such that both the state estimates and fault estimates are confined within two sets of closed ellipsoid *** techniques of recursive matrix inequality are applied to derive sufficient conditions for the existence of the desired estimator,ensuring that the specified performance requirements are met under certain ***,the estimator gains are derived by minimizing the ellipsoid domain in the sense of trace and a recursive estimator parameter design algorithm is then ***,a numerical example is conducted to demonstrate the effectiveness of the designed estimator.

关键词： Dynamic event-triggered mechanism(DETM) fault estimation nonlinear time-varying complex networks set-member-ship filtering unknown input observer

Explainable machine learning in materials science

在线全文

学校读者我要写书评

暂无评论

npj Computational Materials 2022年第1期8卷 1951-1969页

作者： xiaoting zhong Brian Gallagher Shusen Liu Bhavya Kailkhura Anna Hiszpanski T.Yong-Jin Han Materials Science Division Lawrence Livermore National LaboratoryLivermoreCAUSA Center for Applied Scientific Computing Lawrence Livermore National LaboratoryLivermoreCAUSA

Machine learning models are increasingly used in materials studies because of their exceptional ***,the most accurate machine learning models are usually difficult to *** to this problem lie in explainable artificial intelligence(XAI),an emerging research field that addresses the explainability of complicated machine learning models like deep neural networks(DNNs).This article attempts to provide an entry point to XAI for materials *** are defined to clarify what explain means in the context of materials *** works are reviewed to show how XAI helps materials science *** and opportunities are also discussed.

关键词： explain learning plain

Application of zebrafish in the study of the gut microbiome

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Animal Models and Experimental Medicine 2022年第4期5卷 323-336页

作者： xiaoting zhong Jinglin Li Furong Lu Jingjing Zhang Lianxian Guo Dongguan Key Laboratory of Environmental Medicine School of Public HealthGuangdong Medical UniversityDongguanChina Affiliated Hospital of Guangdong Medical University&Key Laboratory of Zebrafish Model for Development and Disease Guangdong Medical UniversityZhanjiangChina The Marine Biomedical Research Institute of Guangdong Zhanjiang ZhanjiangChina Dongguan Innovation Institute Guangdong Medical UniversityDongguanChina

Zebrafish(D anio rerio)have attracted much attention over the past decade as a reliable model for gut microbiome *** to their low cost,strong genetic and development coherence,efficient preparation of germ-f ree(GF)larvae,availability in high-t hroughput chemical screening,and fitness for intravital imaging in vivo,zebrafish have been extensively used to investigate microbiome-h ost interactions and evaluate the toxicity of environmental *** this review,the advantages and disadvantages of zebrafish for studying the role of the gut microbiome compared with warm-b looded animal models are first ***,the roles of zebrafish gut microbiome on host development,metabolic pathways,gut-b rain axis,and immune disorders and responses are ***,their applications for the toxicological assessment of aquatic environmental pollutants and exploration of the molecular mechanism of pathogen infections are *** highlight the great potential of the zebrafish model for developing probiotics for xenobiotic detoxification,resistance against bacterial infection,and disease prevention and ***,the zebrafish model promises a brighter future for gut microbiome research.

关键词： gut microbiome host physiology probiotic treatment toxicological assessment zebrafish

A study of real-world micrograph data quality and machine learning model robustness

在线全文

学校读者我要写书评

暂无评论

npj Computational Materials 2021年第1期7卷 1463-1473页

作者： xiaoting zhong Brian Gallagher Keenan Eves Emily Robertson T.Nathan Mundhenk T.Yong-Jin Han Materials Science Division Lawrence Livermore National LaboratoryLivermoreCAUSA Center for Applied Scientific Computing Lawrence Livermore National LaboratoryLivermoreCAUSA Defense Technologies Engineering Division Lawrence Livermore National LaboratoryLivermoreCAUSA Computational Engineering Division Lawrence Livermore National LaboratoryLivermoreCAUSA

Machine-learning(ML)techniques hold the potential of enabling efficient quantitative micrograph analysis,but the robustness of ML models with respect to real-world micrograph quality variations has not been carefully *** collected thousands of scanning electron microscopy(SEM)micrographs for molecular solid materials,in which image pixel intensities vary due to both the microstructure content and microscope instrument *** then built ML models to predict the ultimate compressive strength(UCS)of consolidated molecular solids,by encoding micrographs with different image feature descriptors and training a random forest regressor,and by training an end-to-end deep-learning(DL)*** show that instrument-induced pixel intensity signals can affect ML model predictions in a consistently negative *** a remedy,we explored intensity normalization *** is seen that intensity normalization helps to improve micrograph data quality and ML model robustness,but microscope-induced intensity variations can be difficult to eliminate.

关键词： instrument image eliminate

Frequency and risk factors of psychological distress among individuals with epilepsy before and during the outbreak of the SARS-CoV-2 Omicron variant in China:an online questionnaire survey

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Epileptologica 2024年第1期7卷 36-43页

作者： xiaoting Hao Qi Zhang Chenxi zhong Enzhi Li Yingqi Jiang Jiajun Xu Yuanyuan Li Dong Zhou Bo Yan Department of Neurology West China HospitalSichuan University No37 Guoxue AlleyChengduSichuan Province610000China Department of Psychiatry and Mental Health West China HospitalSichuan University/West China School of Clinical MedicineSichuan UniversityChengdu610000China Department of Neurology Chengdu Shangjin Nanfu HospitalChengdu611730China West China School of Nursing Sichuan University Chengdu610000China Department of Clinical Research Management West China HospitalSichuan UniversityChengdu610000China

Background The COVID-19 pandemic substantially increases the risk of severe psychological distress among people with epilepsy(PWE),especially those with monthly household income12 should consult a psychiatrist,especially during major *** study was aimed to compare the frequency of psychological distress among Chinese PWE before and during the outbreak of the SARS-CoV-2 Omicron variant,and to identify risk factors for such *** In this prospective study,we collected sociodemographic data of PWE aged>14 years,who were treated at our center during December 1 to 15,*** participants completed the 6-item Kessler Psychological Distress Scale before the outbreak and again during the *** visitors who were unrelated to those patients during the outbreak were included as a *** logistic regression analysis was performed to identify risk factors of severe psychological distress and its *** Of the 223 PWE,127 were tested positive for SARS-CoV-2,while 174 of 218 controls were positive for *** neurological symptoms were similar between PWE and controls with *** average Kessler score of PWE was significantly higher during the outbreak than before it(9.93±3.98 vs.8.52±0.23,P<0.001).The average score of controls during the outbreak(5.146±0.35,P<0.001)was significantly lower than that of the *** identified three independent predictors for severe psychological distress in PWE during the outbreak,i.e.,monthly household income<5000 RMB(OR=0.252,95%CI 0.064–0.998,P=0.048),severe psychological distress before the outbreak(OR=0.067,95%CI 0.026–0.174,P<0.001),and seizure onset within 30 days before the assessment during the outbreak(OR=0.356,95%CI 0.157–0.805,P=0.013).Of the three predictors,the last one was also an independent predictor for exacerbation of psychological distress during the outbreak(OR=0.302,95%CI 0.123–0.741,P

关键词： Epilepsy Neurological symptoms Psychological distress COVID-19 pandemic

Crystal structure graph neural networks for high-performance superconducting critical temperature prediction

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China Materials 2024年第10期67卷 3253-3261页

作者： Jingzi Zhang Chengquan zhong xiaoting Lu Jiakai Liu Kailong Hu Xi Lin School of Materials Science and Engineering Harbin Institute of TechnologyShenzhen 518055China Blockchain Development and Research Institute Harbin Institute of TechnologyShenzhen 518055China School of Computer Science and Technology Harbin Institute of TechnologyShenzhen 518055China State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001China Laboratory of Environmental Sciences and Technology Xinjiang Technical Institute of Physics&ChemistryChinese Academy of SciencesUrumqi 830011China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Sunrise(Xiamen)Photovoltaic Industry Co. Ltd.Xiamen 361006China

The utilization of machine learning methods to predict the superconducting critical temperature(T_(c))traditionally necessitates manually constructing elemental features,which challenges both the provision of meaningful chemical insights and the accuracy of *** this work,we introduced crystal structure graph neural networks to extract structure-based features for T_(c)*** results indicated that these structure-based models outperformed all previously reported models,achieving an impressive coefficient of determination(R^(2))of 0.962 and a root mean square error(RMSE)of 6.192 *** the existing Inorganic Crystal Structure Database(ICSD),our model successfully identified 76 potential high-temperature superconducting compounds with T_(c)≥77 *** these,Tl_(5)Ba_(6)Ca_(6)Cu_(9)O_(29)and TlYBa_(2)Cu_(2)O_(7)exhibit remarkably high T_(c)values of 108.4 and 101.8 K,*** work provides a perspective on the structure-property relationship for reliable T_(c)prediction.

关键词： superconductors superconducting critical temperature crystal graph network crystal structural features

在线全文

学校读者我要写书评

暂无评论

明中后期官方“正文体”奏议及行政运作

古代文学理论研究 2020年第1期 440-459页

作者：仲晓婷浙江农林大学文法学院

随着明代科举制度的成熟,以依经按传、纯正典雅为重要特征的科举文体逐渐定型;而与此同时,科举作文"奇诡"的问题也日益突显。嘉靖始,最高统治阶层从政教层面提出"正文体"的要求;万历时,进一步加大釐正力度,并将之纳入行政运作。然而,文... 详细信息

随着明代科举制度的成熟,以依经按传、纯正典雅为重要特征的科举文体逐渐定型;而与此同时,科举作文"奇诡"的问题也日益突显。嘉靖始,最高统治阶层从政教层面提出"正文体"的要求;万历时,进一步加大釐正力度,并将之纳入行政运作。然而,文体大坏的问题愈演愈烈,积弊难返。究其原因,表面上看来是因为"正文体"政令执行不力;推详而深论之,"正文体"忽视了文学通变求新、适时自化的自身规定性,其屡"正"少功有其客观必然性。"正文体"不只是文学自身的单项事件,更是政制与文学之间性的典型个案,其文学意味颇可研味。

关键词：科举文奏议正文体行政运作文学间性

在线全文

学校读者我要写书评

暂无评论

从医患纠纷视角剖析医院管理制度建设

中国卫生标准管理 2020年第19期11卷 31-33页

作者：钟小婷深圳市盐田区人民医院医政科广东深圳518081

自医疗体系创立以来医患纠纷便一直是各级医疗体系发展中的一项重要议题,特别是近年来随着全媒体社会模式的不断发展,使得社会大众对各类医患纠纷事件信息获取速度及关注度均呈现明显上升趋势,不断对现有医患服务体系的发展、完善造成冲... 详细信息

自医疗体系创立以来医患纠纷便一直是各级医疗体系发展中的一项重要议题,特别是近年来随着全媒体社会模式的不断发展,使得社会大众对各类医患纠纷事件信息获取速度及关注度均呈现明显上升趋势,不断对现有医患服务体系的发展、完善造成冲击,限制当今医疗体系建设,但医患纠纷的发生所更多体现则是现今各级医疗体系建设中所存在的各类管理制度问题,故需以管理制度建设为主要方式,以实现对现代医患纠纷发生率的有效降低。因此,文章将对医患纠纷影响下医院管理制度建设发展相关研究文献内容作以探讨总结,以期为各级医疗体系管理制度的变革建设提供实践性理论依据。

关键词：医患纠纷医院建设管理制度改革发展医患关系医院管理

静灵口服液辅治癫痫共患儿童注意缺陷多动障碍临床效果及对DAT、DRD2基因表达的影响

在线全文

学校读者我要写书评

暂无评论

临床合理用药杂志 2022年第34期15卷 28-31页

作者：钟晓婷福建省龙岩市第二医院 364000

目的观察静灵口服液辅治癫痫共患儿童注意缺陷多动障碍患儿的临床效果及对多巴胺转运体(DAT)、多巴胺D2受体(DRD2)基因表达的影响。方法选取2020年1—12月福建省龙岩市第二医院收治的癫痫共患儿童注意缺陷多动障碍患儿100例为研究对象,... 详细信息

目的观察静灵口服液辅治癫痫共患儿童注意缺陷多动障碍患儿的临床效果及对多巴胺转运体(DAT)、多巴胺D2受体(DRD2)基因表达的影响。方法选取2020年1—12月福建省龙岩市第二医院收治的癫痫共患儿童注意缺陷多动障碍患儿100例为研究对象,依据随机抽签法分为研究组和对照组,每组50例。对照组予以盐酸硫必利片与盐酸哌甲酯片治疗,研究组在此基础上予以静灵口服液治疗,2组均连续治疗4个月。比较2组患儿治疗效果,治疗前后DAT mRNA、DRD2 mRNA基因表达,治疗后癫痫发作次数及不良反应。结果研究组治疗总有效率为96.00%,高于对照组的84.00%(χ^(2)=4.000,P=0.046);治疗4个月后,研究组DAT mRNA、DRD2 mRNA水平较治疗前降低,且低于对照组(P均<0.01);研究组治疗后3、6、9、12个月癫痫发作次数均少于对照组,差异有统计学意义(P<0.01);研究组不良反应总发生率为4.00%,低于对照组的16.00%(χ^(2)=4.000,P=0.046)。结论癫痫共患儿童注意缺陷多动障碍患儿加用静灵口服液治疗的效果显著,提升治疗总有效率,改善患者DAT mRNA、DRD2 mRNA基因表达,减少癫痫发作次数,降低不良反应发生率,利于病症好转以及恢复,值得推广应用。

关键词：癫痫儿童注意缺陷多动障碍静灵口服液治疗效果 DAT DRD2