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利用探针跳跃式扫描离子电导显微镜技术揭示结直肠癌单细胞层面对H_(2)O_(2)良性应激的动态响应

Science Bulletin 2024年第12期69卷 1909-1919页

作者：王东 Emily Woodcock 杨羲 Hiromi Nishikawa Elena v.Sviderskaya Masanobu Oshima Christopher Edwards 张彦军 Yuri Korchev WPI Nano Life Science Institute(WPI-Nano LSI) Kanazawa UniversityKanazawa 920-1192Japan Department of Medicine Imperial College LondonLondon W120NNUnited Kingdom Cell Biology Research Centre Molecular and Clinical Sciences Research InstituteSt George’sUniversity of LondonLondon SW170REUnited Kingdom

Colorectal cancer(CRC),a widespread malignancy,is closely associated with tumor microenvironmental hydrogen peroxide(H_(2)O_(2))*** clinical trials targeting H_(2)O_(2)for cancer treatment have revealed its paradoxical role as a promoter of cancer *** the dynamics of cancer cell H_(2)O_(2)eustress at the single–cell level is *** this study,non–contact hopping probe mode scanning ion conductance microscopy(HPICM)with high-sensitive Pt–functionalized nanoelectrodes was employed to measure dynamic extracellular to intracellular H_(2)O_(2)gradients in individual colorectal cancer Caco–*** explored the relationship between cellular mechanical properties and H_(2)O_(2)*** to 0.1 or 1 mmol/L H_(2)O_(2)eustress increased the extracellular to intracellular H_(2)O_(2)gradient from 0.3 to 1.91 or 3.04,***,cellular F–actin–dependent stiffness increased at 0.1 mmol/L but decreased at 1 mmol/L H_(2)O_(2)*** H_(2)O_(2)–induced stiffness modulated AKT activation positively and glutathione peroxidase 2(GPX2)expression *** findings unveil the failure of some H_(2)O_(2)-targeted therapies due to their ineffectiveness in generating H_(2)O_(2),which instead acts eustress to promote cancer cell *** research also reveals the complex interplay between physical properties and biochemical signaling in cancer cells'antioxidant defense,illuminating the exploitation of H_(2)O_(2)eustress for survival at the single–cell *** GPX and/or catalase(CAT)enhances the cytotoxic activity of H_(2)O_(2)eustress against CRC cells,which holds significant promise for developing innovative therapies targeting cancer and other H_(2)O_(2)-related inflammatory diseases.

关键词： SPM Nanoprobe Nanobiology SECM ROS Stiffness

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MicroRNAs as potential biomarkers for diagnosis of attention deficit hyperactivity disorder

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Neural Regeneration Research 2024年第3期19卷 557-562页

作者： Bridget Martinez Philip v.Peplow Department of Pharmacology University of Nevada-RenoRenoUSA Department of Medicine University of Nevada-RenoRenoUSA Department of Anatomy University of OtagoDunedinNew Zealand

Inappropriate levels of hyperactivity,impulsivity,and inattention characterize attention deficit hyperactivity disorder,a common childhood-onset neuropsychiatric *** cognitive function and learning ability of children with attention deficit hyperactivity disorder are affected,and these symptoms may persist to adulthood if they are not *** diagnosis of attention deficit hyperactivity disorder is only based on symptoms and objective tests for attention deficit hyperactivity disorder are *** for attention deficit hyperactivity disorder in children include medications,behavior therapy,counseling,and education services which can relieve many of the symptoms of attention deficit hyperactivity disorder but cannot cure *** is a need for a molecular biomarker to distinguish attention deficit hyperactivity disorder from healthy subjects and other neurological conditions,which would allow for an earlier and more accurate diagnosis and appropriate treatment to be *** expression of microRNAs is connected to brain development and disease and could provide novel biomarkers for the diagnosis and prognosis of attention deficit hyperactivity *** recent studies reviewed had performed microRNA profiling in whole blood,white blood cells,blood plasma,and blood serum of children with attention deficit hyperactivity disorder.A large number of microRNAs were dysregulated when compared to healthy controls and with some overlap between individual *** the studies that had included a validation set of patients and controls,potential candidate biomarkers for attention deficit hyperactivity disorder in children could be miR-140-3p,let-7g-5p,-30e-5p,-223-3p,-142-5p,-486-5p,-151a-3p,-151a-5p,and-126-5p in total white blood cells,and miR-4516,-6090,-4763-3p,-4281,-4466,-101-3p,-130a-3p,-138-5p,-195-5p,and-106b-5p in blood *** studies are warranted with children and adults with attention deficit hyperactivity disorder,and

关键词： adults attention deficit hyperactivity disorder biomarkers blood plasma blood serum children microRNA total white blood cells whole blood

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Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol

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Tsinghua Science and Technology 2024年第4期29卷 985-1001页

作者： N.Meenakshi Sultan Ahmad A.v.Prabu j.Nageswara Rao Nashwan Adnan Othman Hikmat A.M.Abdeljaber R.Sekar jabeen Nazeer SRM Institute of Science and Technology KattankulathurChennai 603203India Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj 11942Saudi Arabia University Center for Research and Development(UCRD) Department of Computer Science and EngineeringChandigarh UniversityGharuanMohali 140413India Department of ECE Koneru Lakshmaiah Education FoundationVaddeswaramGuntur 522502India Department of Computer Science and Engineering Lakireddy Balireddy College of Engineering(A)NTR District 521230India Department of Computer Engineering College of EngineeringKnowledge UniversityErbil 44001Iraq Department of Computer Science Faculty of Information TechnologyApplied Science Private UniversityAmman 11937Jordan Department of Electronics and Communication Engineering(ECE) School of EngineeringPresidency UniversityBangalore 834001India

The Wireless Sensor Network(WSN)is a network that is constructed in regions that are inaccessible to human *** widespread deployment of wireless micro sensors will make it possible to conduct accurate environmental monitoring for a use in both civil and military *** make use of these data to monitor and keep track of the physical data of the surrounding environment in order to ensure the sustainability of the *** data have to be picked up by the sensor,and then sent to the sink node where they may be *** nodes of the WSNs are powered by batteries,therefore they eventually run out of *** energy restriction has an effect on the network life span and environmental *** objective of this study is to further improve the Engroove Leach(EL)protocol’s energy efficiency so that the network can operate for a very long time while consuming the least amount of *** lifespan of WSNs is being extended often using clustering and routing *** Meta Inspired Hawks Fragment Optimization(MIHFO)system,which is based on passive clustering,is used in this study to do *** cluster head is chosen based on the nodes’residual energy,distance to neighbors,distance to base station,node degree,and node *** on distance,residual energy,and node degree,an algorithm known as Heuristic Wing Antfly Optimization(HWAFO)selects the optimum path between the cluster head and Base Station(BS).They examine the number of nodes that are active,their energy consumption,and the number of data packets that the BS *** overall experimentation is carried out under the MATLAB *** the analysis,it has been discovered that the suggested approach yields noticeably superior outcomes in terms of throughput,packet delivery and drop ratio,and average energy consumption.

关键词： wireless sensor networks energy efficient engroove leach protocol meta inspired Hawks fragment optimization heuristic wing antfly optimization

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Cluster Analysis of the Roma-BZCAT Blazars

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Research in Astronomy and Astrophysics 2024年第5期24卷 117-139页

作者： Dmitry O.Kudryavtsev Yulia v.Sotnikova vladislav A.Stolyarov Timur v.Mufakharov valery v.vlasyuk Margarita L.Khabibullina Alexander G.Mikhailov Yulia v.Cherepkova Special Astrophysical Observatory of the Russian Academy of Sciences Nizhny Arkhyz 369167Russia Astrophysics Group Cavendish LaboratoryUniversity of CambridgeCambridge CB3 OHEUK Kazan Federal University 18 Kremlyovskaya StKazan 420008Russia

Based on the collected multiwavelength data, namely in the radio(NvSS, FIRST, RATAN-600), IR(WISE),optical(Pan-STARRS), Uv(GALEX), and X-ray(ROSAT, Swift-XRT) ranges, we have performed a cluster analysis for the blazars of the Roma-BZCAT catalog. Using two machine learning methods, namely a combination of PCA with k-means clustering and Kohonen's self-organizing maps(SOMs), we have constructed an independent classification of the blazars(five classes) and compared the classes with the known Roma-BZCAT classification(FSRQs, BL Lacs, galaxy-dominated BL Lacs, and blazars of an uncertain type) as well as with the high synchrotron peaked(HSP) blazars from the 3HSP catalog and blazars from the TevCat catalog. The obtained groups demonstrate concordance with the BL Lac/FSRQ classification along with a continuous character of the change in the properties. The group of HSP blazars stands out against the overall distribution. We examine the characteristics of the five groups and demonstrate distinctions in their spectral energy distribution shapes. The effectiveness of the clustering technique for objective analysis of multiparametric arrays of experimental data is demonstrated.

关键词： methods data analysis-galaxies active-(galaxies:)BL Lacertae objects general

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越南铁路及机车车辆的现状及展望

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铁道标准设计 2024年

作者：樊子暄丁军君 CHIEN v T 吕涵李芾西南交通大学机械工程学院交通与运输大学机械工程学院

随着“一带一路”倡议的不断推进，中国与东南亚国家在铁路技术方面的联系越发密切。本文对越南铁路线路和机车车辆的技术指标、面临的挑战进行了介绍和思考。历经140余年的发展，越南铁路形成了以七条干线为主，总长约3?200?km的铁路... 详细信息

随着“一带一路”倡议的不断推进，中国与东南亚国家在铁路技术方面的联系越发密切。本文对越南铁路线路和机车车辆的技术指标、面临的挑战进行了介绍和思考。历经140余年的发展，越南铁路形成了以七条干线为主，总长约3?200?km的铁路网，其中共有2?500?km米轨线路、500?km准轨线路及200?km混合轨线路。目前共有383?辆机车以及6?094?辆各式车辆，其中机车大部分依靠进口，少量为本土生产，车辆绝大部分为本土生产。越南铁路技术标准与中国铁路标准相近，铁路系统较为完善，但由于长久以来缺乏足够重视及专业维护，导致越南铁路普遍存在钢轨磨损严重、线路条件较差、曲线过多、轮对磨耗严重等问题，制约了越南铁路的发展。越南交通部最新的发展规划中将有2?400?000?亿越南盾的新铁路项目，包括对2?440?km既有铁路线路的维护及新规划的9?条线路建设，将使越南铁路产生巨大变化。中越铁路连接已有百年历史，有良好的合作基础，在“一带一路”迅速发展的当下，应充分关注中越铁路轨距不同、运营环境不同等问题，进一步加强中越双方在铁路技术、机车车辆、铁路标准方面的合作，为中越铁路的建设与发展提供强而有力的支持。

关键词：越南铁路米轨铁路机车车辆线路条件线路标准发展规划

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Physics of porous materials under extreme laser-generated conditions

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Matter and Radiation at Extremes 2024年第3期9卷 1-3页

作者： v.T.Tikhonchuk S.Weber Extreme Light Infrastructure ERIC ELI Beamlines Facility25241 DolníBrezanyCzech Republic CELIA University of Bordeaux33405 TalenceFrance

Porous materials offer unique possibilities for the production of plasmas with controlled density profiles for experiments on laser–matter *** are of growing relevance to many applications,such as inertial confinement fusion,fundamental research,and secondary *** the processes of transformation of a porous solid into a plasma is of fundamental interest and is needed for producing materials with desired properties.

关键词： interaction. properties. porous

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Intelligent Energy Utilization Analysis Using IUA-SMD Model Based Optimization Technique for Smart Metering Data

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journal of Harbin Institute of Technology(New Series) 2024年第1期31卷 90-98页

作者： K.Rama Devi v.Srinivasan G.Clara Barathi Priyadharshini j.Gokulapriya Department of Information Technology Panimalar Engineering CollegeChennaiTamil Nadu 600029India Department of Computer Applications Dayananda Sagar College of EngineeringBengaluru 560078KarnatakaIndia Department of Computer Appliations Karpagam Academy of Higher EducationCoimbatoreTamil Nadu 641021India Department of Computer Science Rathinam College of Arts and ScienceCoimbatoreTamil Nadu 641021India

Smart metering has gained considerable attention as a research focus due to its reliability and energy-efficient nature compared to traditional electromechanical metering systems. Existing methods primarily focus on data management,rather than emphasizing efficiency. Accurate prediction of electricity consumption is crucial for enabling intelligent grid operations,including resource planning and demandsupply balancing. Smart metering solutions offer users the benefits of effectively interpreting their energy utilization and optimizing costs. Motivated by this,this paper presents an Intelligent Energy Utilization Analysis using Smart Metering Data(IUA-SMD)model to determine energy consumption patterns. The proposed IUA-SMD model comprises three major processes:data Pre-processing,feature extraction,and classification,with parameter optimization. We employ the extreme learning machine(ELM)based classification approach within the IUA-SMD model to derive optimal energy utilization labels. Additionally,we apply the shell game optimization(SGO)algorithm to enhance the classification efficiency of the ELM by optimizing its parameters. The effectiveness of the IUA-SMD model is evaluated using an extensive dataset of smart metering data,and the results are analyzed in terms of accuracy and mean square error(MSE). The proposed model demonstrates superior performance,achieving a maximum accuracy of65.917% and a minimum MSE of0.096. These results highlight the potential of the IUA-SMD model for enabling efficient energy utilization through intelligent analysis of smart metering data.

关键词： electricity consumption predictive model data analytics smart metering machine learning

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Unsupervised intrusion detection system for in-vehicle communication networks

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journal of Safety Science and Resilience 2024年第2期5卷 119-129页

作者： Kabilan N vinayakumar Ravi v Sowmya Center for Computational Engineering and Networking(CEN) Amrita School of Artificial InteligenceAmrita Vishwa VidyapeethamCoimbatoreIndia Center for Artificial Intlligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia

In-vehicle communication has been optimized day to day to keep updated of the *** area network(CAN)is used as a standard communication method because of its efficient and reliable ***,CAN is prone to several network level attacks because of its lack in security *** methods have been introduced to incorporate this in *** proposed an unsupervised method of intrusion detection for in-vehicle communication networks by combining the optimal feature extracting ability of autoencoders and more precise clustering using fuzzy C-means(FCM).The proposed method is light weight and requires less computation *** performed an extensive experiment and achieved an accuracy of 75.51%with the ML35o in-vehicle intrusion *** experimental result,the proposed method also works better for other intrusion detection problems like wireless intrusion detection datasets such as WNS-DS with accuracy of 84.05%and network intrusion detection datasets such as KDDCup with accuracy 60.63%,UNSW_NB15 with accuracy 73.62%and Information Security Center of Excellence(Iscx)with accuracy 74.83%.Overall,the proposed method outperforms the existing methods and avoids labeled datasets when training an in-vehicle intrusion detection *** results of the experiment of our proposed method performed on various intru-sion detection datasets indicate that the proposed approach is generalized and robust in detecting intrusions and can be effectively deployed in real time to monitor CAN traffic in vehicles and proactively alert during attacks.

关键词： Controlarea network Intrusiondetection Unsupervised learning Autoencoders Fuzzy C-means

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Traumatic brain injury treatment using a rodent model of homelessness

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Neural Regeneration Research 2024年第9期19卷 1873-1874页

作者： Molly Monsour Cesar v.Borlongan University of South Florida Morsani College of Medicine TampaFLUSA Center of Excellence for Aging and Brain Repair Department of Neurosurgery and Brain RepairUniversity of South Florida Morsani College of MedicineTampaFLUSA

Introduction:Traumatic brain injury(TBI)is a common diagnosis among veterans secondary to combat *** is also rampant among those experiencing homelessness,possibly due to veterans making up 12.3%of the homeless population(Tsai and Rosenheck,2015),or due to the high risk of violence or trauma among those experiencing *** is up to 10×more prevalent among those experiencing homelessness(Stubbs et al.,2020;Dell et al.,2021).

关键词： diagnosis TBI less

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Going straight for the gut:gut-brain axis pathology and treatment of Parkinson's disease

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Neural Regeneration Research 2024年第10期19卷 2111-2112页

作者： Dominique Ebedes Cesar v.Borlongan University of South Florida Morsani College of Medicine TampaFLUSA Center of Excellence for Aging and Brain Repair Department of Neurosurgery and Brain RepairUniversity of South Florida Morsani College of MedicineTampaFLUSA

This perspective focuses on the recent literature regarding the role of the gut-brain axis(GBA) in fecal microbiota transplantation(FMT) and stem cell therapy(SCT) in Parkinson's disease(PD).PD is the second most common neurodegenerative disease in the United States,yet therapies remain *** research suggests that the GBA may play a role in the pathogenesis of *** FMT as well as SCT offer promising new avenues for PD *** bing the interactions between FMT and SCT with the GBA may reveal novel therapeutics for PD.

关键词： straight pathology pathogenesis

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