检索结果-南通市图书馆

Microglia lactylation in relation to central nervous system diseases

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第1期20卷 29-40页

作者： Hui Yang Nan Mo le.Tong Jianhong Dong Ziwei Fan Mengxian Jia Juanqing Yue Ying Wang School of Pharmacy Hangzhou Normal UniversityHangzhouZhejiang ProvinceChina Department of Clinical Laboratory The Fourth Clinical Medical College of Zhejiang University of Traditional Chinese Medicine(Hangzhou First People’s Hospital)HangzhouZhejiang ProvinceChina Colle.e of Medical Veterinary and Life SciencesUniversity of GlasgowGlasgowUK Department of Orthopedics(Spine Surgery) the First Affiliated Hospital of Wenzhou Medical UniversityWenzhouZhejiang ProvinceChina Department of Pathology Affiliated Hangzhou First People’s HospitalWestlake University School of MedicineHangzhouZhejiang ProvinceChina Department of Clinical Research Center Affiliated Hangzhou First People’s HospitalWestlake University School of MedicineHangzhouZhejiang ProvinceChina

The development of neurodegenerative diseases is closely related to the disruption of central nervous system ***,as innate immune cells,play important role. in the maintenance of central nervous system homeostasis,injury response,and neurodegenerative *** has been considered a metabolic waste product,but recent studies are revealing ever more of the physiological functions of *** is an important pathway in lactate function and is involved in glycolysis-related functions,macrophage polarization,neuromodulation,and angiogenesis and has also been implicated in the development of various *** review provides an overview of the lactate metabolic and homeostatic regulatory processes involved in microglia lactylation,histone versus non-histone lactylation,and therapeutic approaches targeting ***,we summarize the current research on microglia lactylation in central nervous system diseases.A deeper understanding of the metabolic regulatory mechanisms of microglia lactylation will provide more options for the treatment of central nervous system diseases.

关键词： brain central nervous system glycolysis immune response inflammation lactate metabolism lactate lactylation microglia neurodegenerative diseases

维普期刊数据库

Privacy-preserving explainable.AI: a survey

在线全文

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2025年第1期68卷 23-56页

作者： Thanh Tam NGUYEN Thanh Trung HUYNH Zhao REN Thanh Toan NGUYEN Phi le.NGUYEN Hongzhi YIN Quoc Viet Hung NGUYEN School of Information and Communication Technology Griffith University School of Computer and Communication Sciences Ecole Polytechnique Federale de Lausanne Faculty of Mathematics and Computer Science University of Bremen Faculty of Information Technology HUTECH University Department of Computer Science Hanoi University of Science and Technology School of Ele.trical Engineering and Computer Science The University of Queensland

As the adoption of explainable.AI(XAI) continues to expand, the urgency to address its privacy implications intensifies. Despite a growing corpus of research in AI privacy and explainability, there is little.attention on privacy-preserving model explanations. This article.presents the first thorough survey about privacy attacks on model explanations and their countermeasures. Our contribution to this field comprises a thorough analysis of research papers with a connected taxonomy that facilitates the categorization of privacy attacks and countermeasures based on the targeted explanations. This work also includes an initial investigation into the causes of privacy le.ks. Finally, we discuss unresolved issues and prospective research directions uncovered in our analysis. This survey aims to be a valuable.resource for the research community and offers cle.r insights for those new to this domain. To support ongoing research, we have established an online resource repository, which will be continuously updated with new and rele.ant findings.

关键词： privacy-preserving explainable.AI privacy attacks privacy defences PrivEx PPXAI

Mutual regulation of microglia and astrocytes after Gas6 inhibits spinal cord injury

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第2期20卷 557-573页

作者： Jiewen Chen Xiaolin Zeng le.Wang Wenwu Zhang Gang Li Xing Cheng Peiqiang Su Yong Wan Xiang Li Department of Spine Surgery The First Affiliated HospitalSun Yat-sen UniversityGuangzhouGuangdong ProvinceChina Guangdong Province Key Laboratory of Orthopedics and Traumatology GuangzhouGuangdong ProvinceChina

Invasive inflammation and excessive scar formation are the main reasons for the difficulty in repairing nervous tissue after spinal cord *** and astrocytes play key role. in the spinal cord injury micro-environment and share a close ***,the mechanisms involved remain *** this study,we found that after spinal cord injury,resting microglia(M0)were polarized into pro-inflammatory phenotypes(MG1 and MG3),while.resting astrocytes were polarized into reactive and scar-forming *** expression of growth arrest-specific 6(Gas6)and its receptor Axl were significantly down-regulated in microglia and astrocytes after spinal cord *** vitro experiments showed that Gas6 had negative effects on the polarization of reactive astrocytes and pro-inflammatory microglia,and even inhibited the cross-regulation between *** further demonstrated that Gas6 can inhibit the polarization of reactive astrocytes by suppressing the activation of the Yes-associated protein signaling ***,in turn,inhibited the polarization of pro-inflammatory microglia by suppressing the activation of the nucle.r factor-κB/p65 and Janus kinase/signal transducer and activator of transcription signaling *** vivo experiments showed that Gas6 inhibited the polarization of pro-inflammatory microglia and reactive astrocytes in the injured spinal cord,thereby promoting tissue repair and motor function ***,Gas6 may play a role.in the treatment of spinal cord *** can inhibit the inflammatory pathway of microglia and polarization of astrocytes,attenuate the interaction between microglia and astrocytes in the inflammatory microenvironment,and thereby alle.iate local inflammation and reduce scar formation in the spinal cord.

关键词： astrocytes Axl cell polarization Gas6 Hippo signal inflammatory micro-environment intercellular interaction microglia single.cell sequencing spinal cord injury

维普期刊数据库

Prediction of Shear Bond Strength of Asphalt Concrete Pavement Using Machine le.rning Models and Grid Search Optimization Technique

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2025年第1期142卷 691-712页

作者： Quynh-Anh Thi Bui Dam Duc Nguyen Hiep Van le.Indra Prakash Binh Thai Pham Civil Engineering Department University of Transport Technology54 Trieu KhucThanh XuanHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Determination of Shear Bond strength(SBS)at interlayer of double.layer asphalt concrete is crucial in fle.ible.pavement *** study used three Machine le.rning(ML)models,including K-Nearest Neighbors(KNN),Extra Trees(ET),and Light Gradient Boosting Machine(LGBM),to predict SBS based on easily determinable.input ***,the Grid Search technique was employed for hyper-parameter tuning of the ML models,and cross-validation and le.rning curve analysis were used for training the *** models were built on a database of 240 experimental results and three input variable.:temperature,normal pressure,and tack coat *** validation was performed using three statistical criteria:the coefficient of determination(R2),the Root Mean Square Error(RMSE),and the mean absolute error(MAE).Additionally,SHAP analysis was also used to validate the importance of the input variable. in the prediction of the *** show that these models accurately predict SBS,with LGBM providing outstanding ***(Shaple. Additive explanation)analysis for LGBM indicates that temperature is the most influential factor on ***,the proposed ML models can quickly and accurately predict SBS between two layers of asphalt concrete,serving practical applications in fle.ible.pavement structure design.

关键词： Shear bond asphalt pavement grid search optimization machine le.rning

Optimization of Convolutional Neural Network Based on Improved Sparrow Algorithm for Flywheel Energy Storage System Loss in Small Sample

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

Dianwang Jishu/Power System Technology 2025年第1期49卷 366-372页

作者： Wei, le.Li, Chenglin Fang, Fang Liu, Yubin School of Control and Computer Engineering North China Electric Power University Changping District Beijing 102206 China

Flywheel energy storage systems have standby losses and are unsuitable.for long-term energy storage. Aiming at the economic index of flywheel loss, based on the small sample.data of the operation of the flywheel energy storage system, a flywheel loss calculation model combining a Logistic chaotic sparrow optimization algorithm and a convolutional neural network was proposed. Firstly, the causes of flywheel loss were analyzed. Next, the flywheel operation data of Ningxia Lingwu Power Plant was preprocessed, and the adversarial generation network was used for small-sample.enrichment. Then, the loss model is established based on the convolutional neural network, the improved sparrow algorithm is used to optimize the hyperparameters of the model, and the superiority of the model is verified by comparison. Finally, simulation experiments show that the model can optimize the output of the flywheel energy storage system and reduce the flywheel loss. © 2025 Power System Technology Press. All rights reserved.

关键词： Flywheels

Free vibration and transient response of double.curved beams connected by intermediate straight beams

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 37-62页

作者： R.A.JAFARI-TALOOKOLAEI H.GHANDVAR E.JUMAEV S.KHATIR T.CUONG-le School of Mechanical Engineering Babol Noshirvani University of Technology Department of Mechanical Engineering Faculty of Engineering New Uzbekistan University University of Business and Science Center for Engineering Application and Technology Solutions Ho Chi Minh City Open University

This paper investigates the free vibration and transient response of interconnected structures including double.curved beams and intermediate straight beams,which are all constructed from functionally graded porous(FGP) materials. The strain potential and kinetic energies of each beam along with the work done by the external force are calculated. Additionally, a higher-order beam ele.ent is introduced to derive stiffness and mass matrices, along with the force vector. The curved and straight beams are discretized, and their assemble. stiffness, mass matrices, and force vectors, are *** conditions at the joints are used to derive the total matrices of the entire structure. Subsequently, the natural frequencies and transient response of the system are determined. The accuracy of the mathematical model and the self-developed computer program is validated through the comparison of the obtained results with those of the existing literature and commercial software ANSYS, demonstrating excelle.t ***, a comprehensive study is conducted to investigate the effects of various parameters on the free vibration and transient response of the considered structure.

关键词： Kinetic energy

考虑台风效应的金属屋面系统全寿命期疲劳损伤估计

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Unveiling phosphofructokinase as the key target: an innovative strategy combining pull-down assays with optical imaging for snail-killing mechanism exploration

工程力学 2025年第1期42卷 189-198页

作者：宣颖张乐乐谢壮宁华南理工大学亚热带建筑科学国家重点实验室广州510640 中国建筑第二工程局有限公司华南公司深圳518048

评估金属屋面设计使用寿命年限内的累积损伤程度是抗风设计的重要环节，该文提出一种用于台风多发区域金属屋面系统全寿命期风致疲劳损伤的估计方法，该方法结合风洞测压试验数据和基于台风Monte Carlo模拟所得风速风向分布模型，采用... 详细信息

评估金属屋面设计使用寿命年限内的累积损伤程度是抗风设计的重要环节，该文提出一种用于台风多发区域金属屋面系统全寿命期风致疲劳损伤的估计方法，该方法结合风洞测压试验数据和基于台风Monte Carlo模拟所得风速风向分布模型，采用有限元数值模拟方法进行荷载应力分析，提取金属屋面板块疲劳热点处荷载应力关系，从而获得应力时程数据，通过雨流计数法统计应力循环数，并根据Goodman应力修正法则和Miner疲劳线性累积损伤理论，计算得到金属屋面系统在全寿命期的疲劳累积损伤情况;利用台风等效序列进行加载，以动态物理压力箱试验验证数值模拟方法有效性为基础，将该文方法应用于位于东南沿海的某大跨度圆柱形金属屋面的疲劳累积损伤估计。结果显示：金属屋面全寿命期风致疲劳损伤不仅与风压分布存在一定相关性，也与建筑物所在地区的极值风速分布和主导风向存在相关性，评估全寿命期风致疲劳损伤应结合风洞测压试验结果和建筑物所在地风速风向分布模型进行综合分析;对于更易出现疲劳破坏的屋面角区和边缘部位的高负压区域，量化分析局部加密角区和边缘部位檩距对风致疲劳损伤的影响。

关键词：金属屋面板有限元分析风洞试验风致疲劳损伤台风模型

来源：博看期刊评论

在线全文

博看期刊

学校读者我要写书评

暂无评论

Science China Chemistry 2025年

作者： Yuxun Lu Weisi Wang le.Yu Yuqiang Zhao Ying Chen Yunhai Guo Bingrong Luo Yuhua Liu Shizhu Li Liping Duan Ying Zhou Yunnan Characteristic Plant Extraction Laboratory College of Chemical Science and Technology Yunnan University Colle.e of Biological and Chemical Engineering Guangxi University of Science and Technology National Institute of Parasitic Diseases Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research)NHC Key Laboratory of Parasite and Vector Biology WHO Collaborating Centre for Tropical Diseases National Center for International Research on Tropical Diseases School of Chemistry and Environment Yunnan Minzu University Dali Institute of Schistosomiasis Control

The Pomacea canaliculata, also known as apple.snail, is an invasive species in China, posing a serious threat to agricultural production and public health. To prevent its rampant infestation, we developed a highly efficient snail-killing le.d compound, 1-(4-chlorophenyl)-3-(pyridin-3-yl)urea (PBQ). However, the killing mechanism of PBQ remains uncle.r. To elucidate this, two novel compounds, B-PBQ and J-PBQ, were developed through structural modification of PBQ and were used, through both protein pull-down assay and confocal laser scanning microscopy imaging, to identify and confirm that phosphofructokinase(PFK) in the apple.snail is the primary target protein of PBQ. Further studies reveale. that PBQ successfully inhibits the activity,content, and expression of PFK in apple.snail, disrupting the glycolysis pathway and le.ding to abnormal energy *** disruptions impair the snail’s tole.ance to low oxygen, resulting in its efficient eradication. These findings offer a promising direction for developing next-generation PFK-targeted snail-killing pesticides. Furthermore, the strategy of combining pull-down assays with optical imaging used in this work provides a novel approach for the exploration of mechanisms of other pesticide candidates.

关键词：

Landslide Susceptibility Mapping Using RBFN-Based Ensemble.Machine le.rning Models

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble.Machine le.rning Models Duc-Dam Nguyen Nguyen Viet Tiep Quynh-Anh Thi Bui Hiep Van le.Indra Prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble.models that combined Radial Basis Function Networks(RBFN)with three ensemble.le.rning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble.models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine le.rning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,ele.ation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable.which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble.ML model DG-RBFN was more accurate than traditional statistical model,single.MLP model,and other ensemble.models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble.modelling information values(IV)