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Repetitive transcranial magnetic stimulation in Alzheimer’s disease:effects on neural and synaptic rehabilitation

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Neural Regeneration Research 2025年第2期20卷 326-342页

作者： Yi Ji Chaoyi Yang Xuerui Pang Yibing Yan Yue wu Zhi Geng Wenjie Hu Panpan Hu Xingqi wu Kai Wang Department of Neurology The First Affiliated Hospital of Anhui Medical UniversityHefeiAnhui ProvinceChina Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders HefeiAnhui ProvinceChina Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health HefeiAnhui ProvinceChina Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefeiAnhui ProvinceChina Department of Psychology and Sleep Medicine The Second Affiliated Hospital of Anhui Medical UniversityHefeiAnhui ProvinceChina

Alzheimer’s disease is a neurodegenerative disease resulting from deficits in synaptic transmission and *** Alzheimer’s disease brain tends to be hyperexcitable and hypersynchronized,thereby causing neurodegeneration and ultimately disrupting the operational abilities in daily life,leaving patients *** transcranial magnetic stimulation is a cost-effective,neuro-modulatory technique used for multiple neurological *** the past two decades,it has been widely used to predict cognitive decline;identify pathophysiological markers;promote neuroplasticity;and assess brain excitability,plasticity,and *** has also been applied to patients with dementia,because it can yield facilitatory effects on cognition and promote brain recovery after a neurological ***,its therapeutic effectiveness at the molecular and synaptic levels has not been elucidated because of a limited number of *** study aimed to characterize the neurobiological changes following repetitive transcranial magnetic stimulation treatment,evaluate its effects on synaptic plasticity,and identify the associated *** review essentially focuses on changes in the pathology,amyloidogenesis,and clearance pathways,given that amyloid deposition is a major hypothesis in the pathogenesis of Alzheimer’s *** mechanisms associated with repetitive transcranial magnetic stimulation procedures and different pathways mediating gene transcription,which are closely related to the neural regeneration process,are also ***,we discuss the outcomes of animal studies in which neuroplasticity is modulated and assessed at the structural and functional levels by using repetitive transcranial magnetic stimulation,with the aim to highlight future directions for better clinical translations.

关键词： Alzheimer’s disease amyloid deposition apoptotic mechanisms biomarker neural regeneration neurodegeneration repetitive transcranial magnetic stimulation synaptic plasticity

I_(2)-DMSO mediated tetra-functionalization of enaminones for the construction of novel furo[2,3:4,5]pyrimido[1,2-b]indazole skeletons via in situ capture of ketenimine cations

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Chinese Chemical Letters 2025年第1期36卷 277-282页

作者： You Zhou Li-Sheng Wang Shuang-Gui Lei Bo-Cheng Tang Zhi-Cheng Yu Xing Li Yan-Dong wu Kai-Lu Zheng An-Xin wu National Key Laboratory of Green Pesticide International Joint Research Center for Intelligent Biosensor Technology and HealthCollege of ChemistryCentral China Normal UniversityWuhan 430079China Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs The First Dongguan Affiliated HospitalSchool of PharmacyGuangdong Medical UniversityDongguan 523808China State Key Laboratory of Chemical Biology and Drug Discovery Department of Applied Biology and Chemical TechnologyThe Hong Kong Polytechnic UniversityHong Kong SAR 999077China

The first-ever synthesis of the unknown furo[2,3:4,5]pyrimido[1,2-b]indazole skeleton was demonstrated based on the undiscovered tetra-functionalization of enaminones,with simple substrates and reaction *** key to realizing this process lies in the multiple trapping of the in situ generated ketenimine cation by the 3-aminoindazole,which results in the formation of four new chemical bonds and two new rings in one ***,the products of this new reaction were found to exhibit aggregationinduced emission(AIE)without modification.

关键词： Unknown skeleton Tetra-functionalization Ketenimine cations Aggregation-induced emission

Editorial for special issue on electromagnetic multifunctional materials

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International Journal of Minerals,Metallurgy and Materials 2025年第3期32卷 515-519页

作者： Guanglei wu Xiaosi Qi Hongjing wu Guangsheng Wang College of Materials Science and Engineering Qingdao UniversityQingdao 266071China Guizhou Province Key Laboratory for Photoelectrics Technology and Application College of PhysicsGuizhou UniversityGuiyang 550025China MOE Key Laboratory of Material Physics and Chemistry under Extraordinary School of Physical Science and TechnologyNorthwestern Polytechnical UniversityXi’an 710072China Key Laboratory of Bio-Inspired Smart Interfacial Science and Technology of Ministry of Education School of ChemistryBeihang UniversityBeijing 100191China

The exponential growth of Internet of Things(IoT),wireless communication systems and the deployment of 5G networks has resulted in a significant increase in electromagnetic pollution,which has become a pressing global *** ubiquitous presence of electromagnetic wave(EMW)in the environment leads to electromagnetic interference(EMI),which can disrupt the normal operation of electronic devices and pose potential health risks to humans through prolonged exposure.

关键词： IoT wireless communication

MODIFIED BRASCAMP-LIEB INEQUALITIESSAND LOG-SOBOLEV INEQUALITIES FOR ONE-DIMENSIONAL LOG-CONCAVE MEASURE

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Acta Mathematica Scientia 2025年第1期45卷 104-117页

作者： Denghui wu Jiazu ZHOU College of Science Northwest A&F UniversityYangling712100China School of Mathematics and Big Data Guizhou Education UniversityGuiyang550018China

In this paper,we develop Maurey’s and Bobkov-Ledoux’s methods to prove modified Brascamp-Lieb inequalities and log-Sobolev inequalities for one-dimensional log-concave *** prove these inequalities,the harmonic Prékopa-Leindler inequality is *** prove that these new inequalities are more efficient in estimating the variance and entropy for some functions with exponential terms.

关键词： Brunn-Minkowski inequality Prékopa-Leindler inequality Brascamp-Lieb inequality log-Sobolev inequality log-concave measure

Development and validation of a nomogram model for predicting overall survival in patients with gastric carcinoma

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World Journal of Gastrointestinal Oncology 2025年第2期17卷 132-143页

作者： Guan-Zhong Liang Xiao-Sheng Li Zu-Hai Hu Qian-Jie Xu Fang wu Xiang-Lin wu Hai-Ke Lei Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment Chongqing University Cancer HospitalChongqing 400030China Chongqing Cancer Multi-omics Big Data Application Engineering Research Center Chongqing University Cancer HospitalChongqing 400030China Department of Health Statistics School of Public HealthChongqing Medical UniversityChongqing 400016China Research Center for Medicine and Social Development School of Public HealthChongqing Medical UniversityChongqing 400016China The Research Center of Big Data Chongqing University Cancer HospitalChongqing 400030China

BACKGROUND The prevalence and mortality rates of gastric carcinoma are disproportionately elevated in China,with the disease's intricate and varied characteristics further amplifying its health *** forecasting of overall survival(OS)is of paramount importance for the clinical management of individuals afflicted with this *** To develop and validate a nomogram model that provides precise gastric cancer prevention and treatment guidance and more accurate survival outcome prediction for patients with gastric *** Data analysis was conducted on samples collected from hospitalized gastric cancer patients between 2018 and *** absolute shrinkage and selection operator,univariate,and multivariate Cox regression analyses were employed to identify independent prognostic factors.A nomogram model was developed to predict gastric cancer patient *** model's predictability and discriminative ability were evaluated via receiver operating characteristic *** evaluate the clinical utility of the model,Kaplan-Meier and decision curve analyses were *** A total of ten independent prognostic factors were identified,including body mass index,tumor-node-metastasis(TNM)stage,radiation,chemotherapy,surgery,albumin,globulin,neutrophil count,lactate dehydrogenase,and platelet-to-lymphocyte *** area under the curve(AUC)values for the 1-,3-,and 5-year survival prediction in the training set were 0.843,0.850,and 0.821,*** AUC values were 0.864,0.820,and 0.786 for the 1-,3-,and 5-year survival prediction in the validation set,*** model exhibited strong discriminative ability,with both the time AUC and time C-index exceeding *** with TNM staging,the model demonstrated superior clinical ***,a nomogram was developed via a web-based *** This study established and validated a novel nomogram model for predicting the OS of gastric cancer patients,which demonstrat

关键词： Gastric carcinoma Prediction Overall survival Nomogram Prospective

Deep Synchronization Control of Grid-Forming Converters:A Reinforcement Learning Approach

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 273-275页

作者： Zhuorui wu Meng Zhang Bo Fan Yang Shi Xiaohong Guan the School of Cyber Science and Engineering Xi'an Jiaotong University the Department of Mechanical Engineering University of Victoria

Dear Editor,This letter proposes a deep synchronization control(DSC) method to synchronize grid-forming converters with power grids. The method involves constructing a novel controller for grid-forming converters based on the stable deep dynamics model. To enhance the performance of the controller, the dynamics model is optimized within the deep reinforcement learning(DRL) framework. Simulation results verify that the proposed method can reduce frequency deviation and improve active power responses.

关键词： Deep reinforcement learning

Exploration of evolutionary mechanisms shaping KZFP and retrotransposon interactions

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Science Bulletin 2025年第3期70卷 328-332页

作者： Qian wu Junqin Xu Jiaxin Zeng Yixuan Wang Peng Yang Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation Clinical Research Center for Anesthesiology and Perioperative MedicineTranslational Research Institute of Brain and Brain-Like IntelligenceShanghai Fourth People’s HospitalSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China Institute for Regenerative Medicine State Key Laboratory of Cardiology and Medical Innovation CenterShanghai East HospitalSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China

Retrotransposon expansion has profoundly reshaped genomes[1],[2].As crucial defense mechanisms that counteract retrotransposons in humans,members of the Krüppel-associated box(KRAB)zinc finger(ZF)protein(KZFP)family ... 详细信息

关键词： shaped expansion mechanisms

Landslide model tests with a miniature 2D principal stress sensor

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Journal of Rock Mechanics and Geotechnical Engineering 2025年第1期17卷 94-105页

作者： Kun Fang Yulei Fu Huiming Tang Tangzhe Gao Pengju An Qiong wu Faculty of Engineering China University of GeosciencesWuhan430074China Badong National Observation and Research Station of Geohazards China University of GeosciencesWuhan430074China Institute of Rock Mechanics Ningbo UniversityNingbo315211China

Understanding the stress distribution derived from monitoring the principal stress(PS)in slopes is of great *** this study,a miniature sensor for quantifying the two-dimensional(2D)PS in landslide model tests is *** fundamental principle and design of the sensor are *** sensor comprises three earth pressure gages and one gyroscope,with the utilization of three-dimensional(3D)printing *** difficulties of installation location during model preparation and sensor rotation during testing can be effectively overcome using this *** different arrangements of the sensors are tested in verification ***,the application of the sensor in an excavated-induced slope model is *** results demonstrate that the sensor exhibits commendable performance and achieves a desirable level of accuracy,with a principal stress angle error of±5°in the verification *** stress transformation of the slope model,generated by excavation,is demonstrated in the application test by monitoring the two miniature principal stress(MPS)*** sensor has a significant potential for measuring primary stress in landslide model tests and other geotechnical model experiments.

关键词： Landslide Model test Principal stress(PS) Stress measurement

Unsupervised Meteorological Downscaling Based on Dual Learning and Subgrid-scale Auxiliary Information

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Advances in Atmospheric Sciences 2025年第1期42卷 53-66页

作者： Jing HU Jialing MU Xiaomeng HUANG Xi wu Department of Computer Science Chengdu University of Information TechnologyChengdu 610225China Department of Earth System Science Ministry of Education Key Laboratory for Earth System ModelingInstitute for Global Change StudiesTsinghua UniversityBeijing 100084China

Climate downscaling is used to transform large-scale meteorological data into small-scale data with enhanced detail,which finds wide applications in climate modeling,numerical weather forecasting,and renewable *** deeplearning-based downscaling methods effectively capture the complex nonlinear mapping between meteorological data of varying scales,the supervised deep-learning-based downscaling methods suffer from insufficient high-resolution data in practice,and unsupervised methods struggle with accurately inferring small-scale specifics from limited large-scale inputs due to small-scale *** article presents DualDS,a dual-learning framework utilizing a Generative Adversarial Network–based neural network and subgrid-scale auxiliary information for climate *** a learning method is unified in a two-stream framework through up-and downsamplers,where the downsampler is used to simulate the information loss process during the upscaling,and the upsampler is used to reconstruct lost details and correct errors incurred during the *** dual learning strategy can eliminate the dependence on high-resolution ground truth data in the training process and refine the downscaling results by constraining the mapping *** findings demonstrate that DualDS is comparable to several state-of-the-art deep learning downscaling approaches,both qualitatively and ***,for a single surface-temperature data downscaling task,our method is comparable with other unsupervised algorithms with the same dataset,and we can achieve a 0.469 dB higher peak signal-to-noise ratio,0.017 higher structural similarity,0.08 lower RMSE,and the best correlation *** summary,this paper presents a novel approach to addressing small-scale uncertainty issues in unsupervised downscaling processes.

关键词： downscaling unsupervised deep learning dual learning auxiliary information