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Longitudinal assessment of peripheral organ metabolism and the gut microbiota in an APP/PS1 transgenic mouse model of Alzheimer’s disease

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Neural Regeneration Research 2025年第10期20卷 2982-2997页

作者： Hongli Li Jianhua Huang Di Zhao Lemei Zhu Zheyu Zhang min yi Weijun Peng Department of Integrated Traditional Chinese&Western Medicine The Second Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina National Clinical Research Center for Metabolic Diseases ChangshaHunan ProvinceChina Hunan Academy of Chinese Medicine ChangshaHunan ProvinceChina Academician Workstation Changsha Medical UniversityChangshaHunan ProvinceChina

Alzheimer’s disease not only affects the brain,but also induces metabolic dysfunction in peripheral organs and alters the gut *** aim of this study was to investigate systemic changes that occur in Alzheimer’s disease,in particular the association between changes in peripheral organ metabolism,changes in gut microbial composition,and Alzheimer’s disease *** do this,we analyzed peripheral organ metabolism and the gut microbiota in amyloid precursor protein-presenilin 1(APP/PS1)transgenic and control mice at 3,6,9,and 12 months of ***-month-old APP/PS1 mice exhibited cognitive impairment,Alzheimer’s disease-related brain changes,distinctive metabolic disturbances in peripheral organs and fecal samples(as detected by untargeted metabolomics sequencing),and substantial changes in gut microbial composition compared with younger APP/PS1 ***,a strong correlation emerged between the gut microbiota and kidney metabolism in APP/PS1 *** findings suggest that alterations in peripheral organ metabolism and the gut microbiota are closely related to Alzheimer’s disease development,indicating potential new directions for therapeutic strategies.

关键词： Alzheimer’s disease APP/PS1 mice brain-kidney axis gut microbiota heart-brain axis liver-brain axis lung-brain axis microbiota-gut-brain axis peripheral organ metabolism spleen-brain axis

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北师大版初中数学新教材的特色及变化分析

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教学与管理 2025年第1期 44-48页

作者：常海斌宁依敏首都师范大学教育学院北京100048 华东师范大学数学科学学院上海200241

深刻理解和准确解读教材是有效使用教材的前提。北师大版初中数学新教材遵循“教育本位”的教材编写理念,在章首语、栏目设置、问题解决、习题设计和素材选取上各具特色;教材整体采用跨领域混编、螺旋式上升和小结整合式的编写模式,着... 详细信息

深刻理解和准确解读教材是有效使用教材的前提。北师大版初中数学新教材遵循“教育本位”的教材编写理念,在章首语、栏目设置、问题解决、习题设计和素材选取上各具特色;教材整体采用跨领域混编、螺旋式上升和小结整合式的编写模式,着重凸显课程内容的结构化和认知过程的进阶性;四个学习领域以“研究对象”的形式进行内容整合,具有重视代数推理、重构统计量的组合形式以及对综合与实践领域进行主题迭代和核心创变等变化。

关键词：初中数学新教材教材编写特色北师大版教材新教材变化分析

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Semi-Supervised Classification of Data Streams by BIRCH Ensemble and Local Structure Mapping

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Journal of Computer Science & Technology 2020年第2期35卷 295-304页

作者： yi-min Wen Shuai Liu Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin 541004China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic TechnologyGuilin 541004China School of Computer Science and Information Security Guilin University of Electronic TechnologyGuilin 541004China

Many researchers have applied clustering to handle semi-supervised classification of data streams with concept ***,the generalization ability for each specific concept cannot be steadily improved,and the concept drift detection method without considering the local structural information of data cannot accurately detect concept *** paper proposes to solve these problems by BIRCH(Balanced Iterative Reducing and Clustering Using Hierarchies)ensemble and local structure *** local structure mapping strategy is utilized to compute local similarity around each sample and combined with semi-supervised Bayesian method to perform concept *** a recurrent concept is detected,a historical BIRCH ensemble classifier is selected to be incrementally updated;otherwise a new BIRCH ensemble classifier is constructed and added into the classifier *** extensive experiments on several synthetic and real datasets demonstrate the advantage of the proposed algorithm.

关键词： semi-supervised classification clustering data stream concept drift

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Phase-Field Simulation of Sintering Process:A Review

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1165-1204页

作者： ming Xue min yi State Key Laboratory ofMechanics and Control forAerospace Structures&Institute for Frontier Science&Key Laboratory for Intelligent Nano Materials and Devices of ministry of Education&College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics(NUAA)Nanjing210016China

Sintering,a well-established technique in powder metallurgy,plays a critical role in the processing of high melting point materials.A comprehensive understanding of structural changes during the sintering process is essential for effective product *** phase-field method stands out for its unique ability to simulate these structural *** its widespread application,there is a notable absence of literature reviews focused on its usage in sintering ***,this paper addresses this gap by reviewing the latest advancements in phase-field sintering models,covering approaches based on energy,grand potential,and entropy *** characteristics of various models are extensively discussed,with a specific emphasis on energy-based models incorporating considerations such as interface energy anisotropy,tensor-form diffusion mechanisms,and various forms of rigid particle motion during ***,the paper offers a concise summary of phase-field sintering models that integrate with other physical fields,including stress/strain fields,viscous flow,temperature field,and external electric *** conclusion,the paper provides a succinct overview of the entire content and delineates potential avenues for future research.

关键词： Phase-field model review sintering additive manufacturing

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基于TCN-Bi-GRU和交叉注意Transformer的多模态情感识别

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陕西科技大学学报 2025年第1期43卷 161-168页

作者：李嘉华陈景霞白义民陕西科技大学电子信息与人工智能学院陕西西安710021

多模态语音情感识别是近年来在自然语言处理和机器学习领域备受关注的研究方向之一,不同模态的数据存在异构性和不一致性,将不同模态信息有效地融合起来并学习到高效的表示形式是一个挑战.为此,本文提出了一种新的基于时序信息建模和交... 详细信息

多模态语音情感识别是近年来在自然语言处理和机器学习领域备受关注的研究方向之一,不同模态的数据存在异构性和不一致性,将不同模态信息有效地融合起来并学习到高效的表示形式是一个挑战.为此,本文提出了一种新的基于时序信息建模和交叉注意力的多模态语音情感识别模型.首先采用时间卷积网络(Time Convolutional Network,TCN)提取语音、文本和视频数据的深层时序特征,使用双向门控递归单元(Bidirectional Gated Recurrent Unit,Bi-GRU)捕捉序列数据的上下文信息,提高模型对序列数据的理解能力.然后基于交叉注意力机制和Transformer构建多模态融合网络,用于挖掘并捕获音频、文本和视觉特征之间交互的情感信息.此外,在训练过程中引入弹性网络正则化(Elastic Net Regularization)防止模型过拟合,最后完成情感识别任务.在IEMOCAP数据集上,针对快乐、悲伤、愤怒和中性四类情感的分类实验中,准确率分别为87.6%、84.1%、87.5%、71.5%,F1值分别为85.1%、84.3%、87.4%、71.4%.加权平均精度为80.75%,未加权平均精度为82.80%.结果表明,所提方法实现了较好的分类性能.

关键词：语音识别多模态情感识别时间卷积网络交叉注意力机制弹性网络

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Crack Fault Classification for Planetary Gearbox Based on Feature Selection Technique and K-means Clustering Method

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Chinese Journal of Mechanical Engineering 2018年第1期31卷 242-252页

作者： Li-ming Wang yi-min Shao State Key Laboratory of Mechanical Transmission Chongqing University

During the condition monitoring of a planetary gearbox, features are extracted from raw data for a fault ***, different features have different sensitivity for identifying different fault types, and thus, the selection of a sensitive feature subset from an entire feature set and retaining as much of the class discriminatory information as possible has a directly effect on the accuracy of the classification results. In this paper, an improved hybrid feature selection technique(IHFST) that combines a distance evaluation technique(DET), Pearson’s correlation analysis, and an ad hoc technique is proposed. In IHFST, a temporary feature subset without irrelevant features is first selected according to the distance evaluation criterion of DET, and the Pearson’s correlation analysis and ad hoc technique are then employed to find and remove redundant features in the temporary feature subset, respectively, and hence,a sensitive feature subset without irrelevant or redundant features is selected from the entire feature set. Further, the k-means clustering method is applied to classify the different kinds of health conditions. The effectiveness of the proposed method was validated through several experiments carried out on a planetary gearbox with incipient cracks seeded in the tooth root of the sun gear, planet gear, and ring gear. The results show that the proposed method can successfully distinguish the different health conditions of a planetary gearbox, and achieves a better classification performance than other methods. This study proposes a sensitive feature subset selection method that achieves an obvious improvement in terms of the accuracy of the fault classification.

关键词： Planetary gearbox Gear crack Feature selection technique K-means classification

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文旅数字化发展的理论与实践研究——以四川为例

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四川旅游学院学报 2025年第1期 52-58页

作者：何小东易敏任啸成都大学四川成都610044 西南民族大学四川成都610041 四川省旅游投资集团四川成都610147

四川省高度关注文旅产业数字化转型,积极探索“数字+文旅”发展路径,各级政府相继出台系列文件,助力数字文旅发展。文章以四川省数字文旅资金投入情况、数字化项目建设情况、文旅重点行业数字化建设情况等为基础,分析四川数字文旅发展... 详细信息

四川省高度关注文旅产业数字化转型,积极探索“数字+文旅”发展路径,各级政府相继出台系列文件,助力数字文旅发展。文章以四川省数字文旅资金投入情况、数字化项目建设情况、文旅重点行业数字化建设情况等为基础,分析四川数字文旅发展现存问题,探索数字文旅发展路径,并围绕管理、市场、产品等方面提出四川数字文旅发展建议,以期推动四川省数字文旅融合高质量发展,并为其他地区数字文旅发展提供相关借鉴。

关键词：数字文旅高质量发展四川

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The glial scar in spinal cord injury and repair

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Neuroscience Bulletin 2013年第4期29卷 421-435页

作者： yi-min Yuan Cheng He Institute of Neuroscience and Key Laboratory of Molecular Neurobiology of the ministry of Education Neuroscience Research Center of Changzheng Hospital Second Military Medical University

Glial scarring following severe tissue damage and inflammation after spinal cord injury （SCI） is due to an extreme, uncontrolled form of reactive astrogliosis that typically occurs around the injury site. The scarring process includes the misalignment of activated astrocytes and the deposition of inhibitory chondroitin sulfate proteoglycans. Here, we first discuss recent developments in the molecular and cellular features of glial scar formation, with special focus on the potential cellular origin of scar-forming cells and the molecular mechanisms underlying glial scar formation after SCI. Second, we discuss the role of glial scar formation in the regulation of axonal regeneration and the cascades of neuro-inflammation. Last, we summarize the physical and pharmacological approaches targeting the modulation of glial scarring to better understand the role of glial scar formation in the repair of SCI.

关键词： glial scar spinal cord injury axonal regeneration astrocyte activation reactive astrogliosis neuro-inflammation

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Nonexistence and Longtime Behaviors of Solutions to a Class of Nonlinear Degenerate Parabolic Equations Not in Divergence Form

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Acta Mathematicae Applicatae Sinica 2016年第2期32卷 327-332页

作者： Yu-dong SUN yi-min SHI min WU School of Science Guizhou Minzu University Department of Applied Mathematics Northwestern Polytechnical University

In this paper, we study the nonexistence and longtime behavior of weak solution for the degenerate parabolic equation σtun=umdiv（｜▽um｜p-2▽um）＋γ｜▽um｜p＋βun with zero boundary condition. Blow-up time is der... 详细信息

关键词： nonexistence nonlinear degenerate parabolic equations weak solution blow-up

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Biological Eagle-eye Inspired Target Detection for Unmanned Aerial Vehicles Equipped with a Manipulator

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Machine Intelligence Research 2023年第5期20卷 741-752页

作者： yi-min Deng Si-Yuan Wang School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

Inspired by eagle eye mechanisms,the structure and information processing characteristics of the eagle′s visual system are used for the target capture task of an unmanned aerial vehicle(UAV)with a mechanical *** this paper,a novel eagle-eye inspired multi-camera sensor and a saliency detection method are proposed.A combined camera system is built by simulating the double fovea structure on the eagle retina.A saliency target detection method based on the eagle midbrain inhibition mechanism is proposed by measuring the static saliency information and dynamic ***,salient targets can be accurately detected through the collaborative work between different cameras of the proposed multi-camera *** results show that the eagle-eye inspired visual system is able to continuously detect targets in outdoor scenes and that the proposed algorithm has a strong inhibitory effect on moving background interference.

关键词： Unmanned aerial vehicle(UAV) eagle eye multi-camera sensor target detection saliency detection

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