检索结果-南通市图书馆

Role of CD36 in central nervous system diseases

在线全文

学校读者我要写书评

暂无评论

Neural Regeneration Research 2024年第3期19卷 512-518页

作者： Min Feng Qiang Zhou Huimin Xie Chang Liu mengru Zheng Shuyu Zhang Songlin Zhou Jian zhao School of Health Science and Engineering University of Shanghai for Science and TechnologyShanghaiChina Department of Orthopedic Oncology Second Affiliated Hospital of Naval Medical UniversityShanghaiChina Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology ProductsJiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury RepairCo-Innovation Center of NeuroregenerationNantong UniversityNantongJiangsu ProvinceChina Department of Stomatology Affiliated Hospital of Nantong UniversityNantongJiangsu ProvinceChina Medical College of Nantong University NantongJiangsu ProvinceChina

CD36 is a highly glycosylated integral membrane protein that belongs to the scavenger receptor class B family and regulates the pathological progress of metabolic diseases.CD36 was recently found to be widely expressed in various cell types in the nervous system,including endothelial cells,pericytes,astrocytes,and microglia.CD36 mediates a number of regulatory processes,such as endothelial dysfunction,oxidative stress,mitochondrial dysfunction,and inflammatory responses,which are involved in many central nervous system diseases,such as stroke,Alzheimer’s disease,Parkinson’s disease,and spinal cord injury.CD36 antagonists can suppress CD36 expression or prevent CD36 binding to its ligand,thereby achieving inhibition of CD36-mediated pathways or functions.Here,we reviewed the mechanisms of action of CD36 antagonists,such as Salvianolic acid B,tanshinone IIA,curcumin,sulfosuccinimidyl oleate,antioxidants,and small-molecule compounds.Moreover,we predicted the structures of binding sites between CD36 and antagonists.These sites can provide targets for more efficient and safer CD36 antagonists for the treatment of central nervous system diseases.

关键词： animal experiments antagonists CD36 antagonist central nervous system diseases clinical trial curcumin microRNA salvianolic acid B small-molecule drugs sulfosuccinimidyl oleate

A New Result on Regular Designs under Baseline Parameterization

在线全文

学校读者我要写书评

暂无评论

Open Journal of Applied Sciences 2024年第2期14卷 441-449页

作者： mengru Qin Yuna zhao School of Mathematiccs and Statistics Shandong Normal University Jinan China

The study on designs for the baseline parameterization has aroused attention in recent years. This paper focuses on two-level regular designs for the baseline parameterization. A general result on the relationship bet... 详细信息

关键词： Baseline Parameterization K-Aberration Regular Design Word Length Pattern

A Deep Neural Networks Based on Multi-task Learning and Its Application

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

A Deep Neural Networks Based on Multi-task Learning and Its ...

A fault diagnosis based on LSSVM and Bayesian probability for wind turbines

第40届中国控制会议

作者： mengru zhao Yuxian Zhang Likui Qiao Deyuan Sun School of Artificial Intelligence Shenyang University of Technology School of Electrical Engineering Shenyang University of Technology Neusoft Medical System Co. Ltd.

With the development of machine learning,the deep neural network has achieved excellent performance.However,the learning of deep neural network often needs a large number of data and the independent learning of a single task tends to ignore the information from other tasks,resulting in redundant training and the cost of learning resources.In order to solve these problems,we introduce the deep neural network based on multi-task learning model.We introduce the structure of the multi-tasking learning model in detail,and use demographic information to prove the effectiveness of the model.Finally deep neural network based on multi-task learning framework is adapted to builds a normal behavior model for wind turbine generator in which each subspace of operating condition are taken as a task.The operating data comes from Liaoning wind farm in northeast China are used to verify the proposed method.The results indicate the subspace division of different operating condition benefits to improve the accuracy of normal behavior model of wind turbine generator,and multi-task learning is suitable to deal with the integrate subspace model.

关键词： Multi-task learning Deep neural networks Wind turbine generator Normal behavior model Demographic prediction

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

A fault diagnosis based on LSSVM and Bayesian probability fo...

媒体负面报道与公司财务困境预警——基于文本分析和机器学习

第三十九届中国控制会议

作者： Yuxian Zhang Shuqing Yan Xiaoyi Qian mengru zhao School of Electrical Engineering Shenyang University of Technology

The wind turbine is affected by complex and changeable load and bad working environment, which leads to the randomness and uncertainty of the fault, so it is difficult to diagnose the fault accurately. To solve this problem, a fault diagnosis method based on LSSVM and Bayesian probability is proposed. Firstly, three inferences of Bayesian evidence framework are used to train LSSVM model and optimize parameters to improve the accuracy of fault diagnosis. Then, combined with Bayesian formula, the posterior probability of fault classification results is calculated, and the maintenance sequence of wind turbine is obtained. Finally, the proposed method is applied to the benchmark model of the 5-MW offshore wind turbine of the National Renewable Energy Laboratory（NERL）, and compared with the traditional LSSVM and PSO-LSSVM methods. The results show that the proposed fault classification model has better classification accuracy, combined with Bayesian formula can accurately calculate the probability of fault occurrence and give the fault ranking results.

关键词： wind turbines fault diagnosis LSSVM Bayesian evidence framework probability output

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

财经论丛 2023年第9期 80-90页

作者：孙洁李能飞赵梦茹天津财经大学会计学院天津300222

本文运用文本挖掘和自然语言处理技术,对2011—2021年沪深A股上市公司的媒体负面报道进行文本分析,构建了媒体负面报道数量、报道标题/内容文本语调和情感倾向三个维度的变量。基于概念漂移视角,采用集成分类器XGBoost构建了公司财务困... 详细信息

本文运用文本挖掘和自然语言处理技术,对2011—2021年沪深A股上市公司的媒体负面报道进行文本分析,构建了媒体负面报道数量、报道标题/内容文本语调和情感倾向三个维度的变量。基于概念漂移视角,采用集成分类器XGBoost构建了公司财务困境动态预警模型。实证结果表明:在公司特征变量的基础上,融入媒体负面报道变量后,财务困境动态预警模型的总体分类性能增强,模型的第一类错误率明显降低。考虑稀有事件偏差和内生性后,媒体负面报道数量、文本语调和情感倾向与公司是否发生财务困境仍然显著相关。本文的研究结论表明媒体负面报道包含公司财务困境预警的增量信息,媒体负面报道在公司财务困境预警过程中发挥了重要的外部公司治理作用。

关键词：媒体负面报道财务困境预警概念漂移文本分析机器学习

我国农村互助养老的优势及长效运行机制:一个文献综述

在线全文

学校读者我要写书评

暂无评论

老龄科学研究 2022年第7期10卷 40-52页

作者：赵梦茹河南大学哲学与公共管理学院河南开封475000

自河北肥乡的互助幸福院发展壮大以来,互助养老吸引了社会各界的关注,并成为了学者们讨论研究的话题。从互助养老的概念界定、优势分析、面临困境,以及长效运行机制构建等方面,对学界关于中国农村互助养老的研究成果进行全面的回顾和评... 详细信息

自河北肥乡的互助幸福院发展壮大以来,互助养老吸引了社会各界的关注,并成为了学者们讨论研究的话题。从互助养老的概念界定、优势分析、面临困境,以及长效运行机制构建等方面,对学界关于中国农村互助养老的研究成果进行全面的回顾和评述。研究发现,已有研究在研究内容和研究视域方面还存在不足。下一步建议:把互助养老放在中国农村语境下,注重其实践形式和发展能力,同时加强相关理论研究;以制度环境为切入点,探讨互助养老政策制度建设,重视对不同地区的异质性老年人互助养老情况的研究,逐渐形成一套完整的研究体系。

关键词：农村互助养老肥乡互助幸福院

在线全文

学校读者我要写书评

暂无评论

浅析话剧《铁流东进》扩声系统的设计

演艺科技 2023年第2期 56-61页

作者：赵梦如中国国家话剧院北京100055

基于观众区良好声音覆盖、声音来自舞台画面、观众获得沉浸式听感的声音艺术设计理念,提出了话剧《铁流东进》的扩声系统结构及扬声器布局的解决方案,并通过基准点扬声器、系统设置等技术手段实现所需要的音响效果。

关键词：话剧扩声系统扬声器系统基准点扬声器

S-Detect联合SWE及ACR TI-RADS对甲状腺结节的诊断价值

在线全文

学校读者我要写书评

暂无评论

中国医学影像学杂志 2023年第9期31卷 910-914,931页

作者：赵雯婷杨晓徐杰魏杰赵梦茹安徽医科大学附属合肥医院/合肥市第二人民医院超声科安徽合肥230011

目的比较单独应用S-Detect、剪切波弹性成像(SWE)、甲状腺影像报告和数据系统(ACR TI-RADS)及三者联合应用诊断甲状腺结节的效能。资料与方法回顾性选取2020年11月—2021年12月在合肥市第二人民医院行甲状腺常规超声同时行SWE和S-Detect... 详细信息

目的比较单独应用S-Detect、剪切波弹性成像(SWE)、甲状腺影像报告和数据系统(ACR TI-RADS)及三者联合应用诊断甲状腺结节的效能。资料与方法回顾性选取2020年11月—2021年12月在合肥市第二人民医院行甲状腺常规超声同时行SWE和S-Detect的77例患者共98个结节,以病理结果为“金标准”,绘制S-Detect、SWE、ACR TI-RADS分级单独诊断和三者联合诊断的受试者工作特征曲线,比较各方法单独使用和联合使用的诊断效能。结果98个甲状腺结节中恶性结节55个(52.47%),良性结节43个(47.53%),S-Detect、SWE、ACR TI-RADS分级单独诊断与三者联合诊断甲状腺恶性结节的敏感度、特异度、准确度分别为89.09%、67.44%、79.59%,83.64%、74.42%、79.59%,69.09%、90.70%、78.57%,90.91%、88.37%、89.80%。联合诊断与单独应用ACR TI-RADS分级诊断的敏感度、S-Detect诊断的特异度比较,差异有统计学意义(P均<0.05);联合诊断后曲线下面积较单独诊断增高至0.956,与三者单独诊断的曲线下面积比较,差异均有统计学意义(P均<0.001);联合诊断Kappa系数为0.793,高于三者单独诊断。结论S-Detect、SWE、ACR TI-RADS分级三者联合应用可以提高对甲状腺结节良恶性的诊断效能,有效弥补S-Detect特异度较低、ACR TI-RADS分级敏感度较低的不足。

关键词：甲状腺结节超声检查剪切波弹性成像人工智能

Q对称熵损失下Weibull分布尺度参数的Bayes估计

在线全文

学校读者我要写书评

暂无评论

枣庄学院学报 2023年第2期40卷 21-27页

作者：赵孟茹周菊玲新疆师范大学数学科学学院新疆乌鲁木齐830017

在Q对称熵损失函数下,对参数的先验分布选取伽玛分布,研究Weibull分布尺度参数的Bayes估计问题。利用随机模拟,验证Weibull分布在Q对称熵损失函数下参数Bayes估计的合理性,在重复模拟下比较极大似然估计和两个Bayes估计的均方误差。结... 详细信息

在Q对称熵损失函数下,对参数的先验分布选取伽玛分布,研究Weibull分布尺度参数的Bayes估计问题。利用随机模拟,验证Weibull分布在Q对称熵损失函数下参数Bayes估计的合理性,在重复模拟下比较极大似然估计和两个Bayes估计的均方误差。结果显示,参数的Bayes估计效果更为理想,最后实例表明参数估计效果与随机模拟结论一致。

关键词：威布尔分布 Q对称熵损失 Bayes估计多层Bayes估计