检索结果-南通市图书馆

Neuroscience Bulletin 2024年第7期40卷 905-920页

作者： Xingyu He Vince D.Calhoun Yuhui Du School of Computer and Information Technology Shanxi UniversityTaiyuan 030006China Tri-Institutional center for Translational Research in Neuroimaging and Data Science Georgia State UniversityGeorgia Institute of TechnologyEmory UniversityAtlanta 30303USA

Functional networks(FNs)hold significant promise in understanding brain *** component analysis(ICA)has been applied in estimating FNs from functional magnetic resonance imaging(fMRI).However,determining an optimal model order for ICA remains challenging,leading to criticism about the reliability of FN ***,we propose a SMART(splitting-merging assisted reliable)ICA method that automatically extracts reliable FNs by clustering independent components(ICs)obtained from multi-model-order ICA using a simplified graph while providing linkages among FNs deduced from different-model *** extend SMART ICA to multi-subject fMRI analysis,validating its effectiveness using simulated and real fMRI *** on simulated data,the method accurately estimates both group-common and group-unique components and demonstrates robustness to *** two age-matched cohorts of resting fMRI data comprising 1,950 healthy subjects,the resulting reliable group-level FNs are greatly similar between the two cohorts,and interestingly the subject-specific FNs show progressive changes while age ***,both small-scale and large-scale brain FN templates are provided as benchmarks for future *** together,SMART ICA can automatically obtain reliable FNs in analyzing multi-subject fMRI data,while also providing linkages between different FNs.

关键词： Independent component analysis Functional magnetic resonance imaging-Brain functional networks Clustering Multi-model-order

Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

National Science Review 2024年第2期11卷 231-263页

作者： Kyung Rok Pyun Kangkyu Kwon Myung Jin Yoo Kyun Kyu Kim Dohyeon Gong Woon-Hong Yeo Seungyong Han Seung Hwan Ko Department of Mechanical Engineering Seoul National University IEN center for Human-Centric Interfaces and Engineering Institute for Electronics and NanotechnologyGeorgia Institute of Technology School of Electrical and Computer Engineering Georgia Institute of Technology Department of Chemical Engineering Stanford University Department of Mechanical Engineering Ajou University George W.Woodruff School of Mechanical Engineering Georgia Institute of Technology Institute of Advanced Machinery and Design(SNU-IAMD) Seoul National University

Soft electromechanical sensors have led to a new paradigm of electronic devices for novel motion-based wearable applications in our daily lives. However, the vast amount of random and unidentified signals generated by complex body motions has hindered the precise recognition and practical application of this technology. Recent advancements in artificial-intelligence technology have enabled significant strides in extracting features from massive and intricate data sets, thereby presenting a breakthrough in utilizing wearable sensors for practical applications. Beyond traditional machine-learning techniques for classifying simple gestures, advanced machine-learning algorithms have been developed to handle more complex and nuanced motion-based tasks with restricted training data sets. Machine-learning techniques have improved the ability to perceive, and thus machine-learned wearable soft sensors have enabled accurate and rapid human-gesture recognition, providing real-time feedback to users. This forms a crucial component of future wearable electronics, contributing to a robust human–machine interface. In this review, we provide a comprehensive summary covering materials, structures and machine-learning algorithms for hand-gesture recognition and possible practical applications through machine-learned wearable electromechanical sensors.

关键词： wearable sensor soft electronics artificial intelligence machine learning human–machine interfaces gesture recognition

Cost-effective synthesis of giant molecule acceptors(GMAs)for stable polymer solar cells

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Science China Chemistry 2024年第4期67卷 1041-1043页

作者： Antonio Facchetti Department of Chemistry and the Materials Research center Northwestern University2145 Sheridan Road60208 EvanstonIllinoisUSA School of Materials Science and Engineering Georgia Institute of Technology771 Ferst Drive30332 AtlantaGeorgiaUSA

Polymer solar cells(PSCs)have emerged as a disruptive energy technology due to simple device architecture,earthabundant elemental composition,lightweight nature,and inherent mechanical flexibility[1,2].Via a strategic acceptordonor-acceptor(A-D-A)design of small-molecule acceptors(SMAs),device power conversion efficiency(PCE)has now increased>19%.

关键词： acceptor synthesis donor

Transfer learning-based encoder-decoder model with visual explanations for infrastructure crack segmentation:New open database and comprehensive evaluation

在线全文

学校读者我要写书评

暂无评论

Underground Space 2024年第4期17卷 60-81页

作者： Fangyu Liu Wenqi Ding Yafei Qiao Linbing Wang Illinois center for Transporation Department of Civil and Environmental EngineeringUniversity of Illinois Urbana-ChampaignIllinois 61801USA Department of Geotechnical Engineering College of Civil EngineeringTongji UniversityShanghai 200092China Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education Tongji UniversityShanghai 200092China School of Environmental CivilAgricultural and Mechanical EngineeringUniversity of GeorgiaGeorgia 30602USA

Contemporary demands necessitate the swift and accurate detection of cracks in critical infrastructures,including tunnels and *** study proposed a transfer learning-based encoder-decoder method with visual explanations for infrastructure crack ***,a vast dataset containing 7089 images was developed,comprising diverse conditions—simple and complex crack patterns as well as clean and rough ***,leveraging transfer learning,an encoder-decoder model with visual explanations was formulated,utilizing varied pre-trained convolutional neural network(CNN)as the *** explanations were achieved through gradient-weighted class activation mapping(Grad-CAM)to interpret the CNN segmentation ***,accuracy,complexity(computation and model),and memory usage assessed CNN feasibility in practical *** performance was gauged via prediction and visual *** investigation encompassed hyperparameters,data augmentation,deep learning from scratch *** learning,segmentation model architectures,segmentation model encoders,and encoder pre-training *** underscored transfer learning’s potency in enhancing CNN accuracy for crack segmentation,surpassing deep learning from ***,encoder classification accuracy bore no significant correlation with CNN segmentation *** all tested models,UNet-EfficientNet_B7 excelled in crack segmentation,harmonizing accuracy,complexity,memory usage,prediction,and visual explanation.

关键词： Crack segmentation Transfer learning Visual explanation Infrastructure Database

Mutual information oriented deep skill chaining for multi‐agent reinforcement learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

CAAI Transactions on Intelligence Technology 2024年第4期9卷 1014-1030页

作者： Zaipeng Xie Cheng Ji Chentai Qiao WenZhan Song Zewen Li Yufeng Zhang Yujing Zhang Key Laboratory of Water Big Data Technology of Ministry of Water Resources Hohai UniversityNanjingChina College of Computer and Information Hohai UniversityNanjingChina center for Cyber‐Physical Systems University of GeorgiaAthensGeorgiaUSA Information Networking Institute Carnegie Mellon UniversityPittsburghPennsylvaniaUSA Department of Electrical and Systems Engineering University of PennsylvaniaPhiladelphiaPennsylvaniaUSA

Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual ***,in high‐dimensional continuous spaces,the non‐stationary environment can provide outdated experiences that hinder convergence,resulting in ineffective training performance for multi‐agent *** tackle this issue,a novel reinforcement learning scheme,Mutual Information Oriented Deep Skill Chaining(MioDSC),is proposed that generates an optimised cooperative policy by incorporating intrinsic rewards based on mutual information to improve exploration *** rewards encourage agents to diversify their learning process by engaging in actions that increase the mutual information between their actions and the environment *** addition,MioDSC can generate cooperative policies using the options framework,allowing agents to learn and reuse complex action sequences and accelerating the convergence speed of multi‐agent *** was evaluated in the multi‐agent particle environment and the StarCraft multi‐agent challenge at varying difficulty *** experimental results demonstrate that MioDSC outperforms state‐of‐the‐art methods and is robust across various multi‐agent system tasks with high stability.

关键词： artificial intelligence techniques decision making intelligent multi‐agent systems

The function of doping nitrogen on removing fluoride with decomposing La-MOF-NH_2:Density functional theory calculation and experiments

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2024年第1期135卷 118-129页

作者： Hongguo Zhang KuilinWan Jia Yan Qian Li Yufang Guo Lei Huang Samuel Raj Babu Arulmani Jian Luo School of Environmental Science and Engineering Guangzhou UniversityGuangzhou 510006China Guangzhou university-Linkoping university Research center on Urban Sustainable Development Guangzhou UniversityGuangzhou 510006China School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlantaGA 30332USA

Fluoride is an important pollutant in wastewater,and adsorption is an effective way to remove *** nitrogen plays an important role in adsorbent materials,computational models were developed to understand the changes in work function resulting from nitrogen ***-N-C-800℃,was prepared by pyrolyzing La-MOF-NH_(2)to verify the influence on the performance of removing fluoride by *** and electrochemical performance tests were performed to characterize La-N-C-800℃.Adsorption kinetics,adsorption thermodynamics,initial concentrations,pH,and ions competition were investigated using La-N-C-800℃for fluoride *** addition,density functional theory was applied to evaluate the function of *** nitrogen atoms were added,the density of states,partial density of states,populations,and different orbits of charge were calculated to discover deep *** strengthened the carbon structure and La_(2)O_(3)structure to remove *** addition,nitrogen can also act as an adsorption site in the carbon *** results provide design ideas for improving the performance of adsorbent materials by doping elements.

关键词： Capacitive deionization Fluoride La-MOFs Doping nitrogen

Advances in Wireless,Batteryless,Implantable Electronics for Real‑Time,Continuous Physiological Monitoring

在线全文

学校读者我要写书评

暂无评论

Nano-Micro Letters 2024年第3期16卷 254-302页

作者： Hyeonseok Kim Bruno Rigo Gabriella Wong Yoon Jae Lee Woon‑Hong Yeo IEN center for Wearable Intelligent Systems and Healthcare Georgia Institute of TechnologyAtlantaGA 30332USA George W.Woodruff School of Mechanical Engineering Georgia Institute of TechnologyAtlantaGA 30332USA School of Electrical and Computer Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Wallace H.Coulter Department of Biomedical Engineering Georgia Tech and Emory University School of MedicineAtlantaGA 30332USA Parker H.Petit Institute for Bioengineering and Biosciences Institute for MaterialsInstitute for Robotics and Intelligent MachinesGeorgia Institute of TechnologyAtlantaGA 30332USA

This review summarizes recent progress in developing wireless,batteryless,fully implantable biomedical devices for real-time continuous physiological signal monitoring,focusing on advancing human health *** considerations,such as biological constraints,energy sourcing,and wireless communication,are discussed in achieving the desired performance of the devices and enhanced interface with human *** addition,we review the recent achievements in materials used for developing implantable systems,emphasizing their importance in achieving multi-functionalities,biocompatibility,and *** wireless,batteryless devices offer minimally invasive device insertion to the body,enabling portable health monitoring and advanced disease ***,we summarize the most recent practical applications of advanced implantable devices for human health care,highlighting their potential for immediate commercialization and clinical uses.

关键词： Implantable electronics Biomedical systems Batteryless devices Wireless electronics Physiological signal monitoring

Plasmonic quantum dots modulated nano-mineral toward photothermal reduction of CO_(2)coupled with biomass conversion

在线全文

学校读者我要写书评

暂无评论

Nano Research 2024年第6期17卷 5061-5072页

作者： Guangbiao Cao Haoran Xing Haoguan Gui Chao Yao Yinjuan Chen Yongsheng Chen Xiazhang Li National-local Joint Engineering Research center of Biomass Refining and High-quality Utilization Changzhou UniversityChangzhou 213164China School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlantaGA 30332-0373USA

Simultaneous conversion of CO_(2)and biomass into value-added chemicals through solar-driven catalysis holds tremendous importance for fostering a sustainable circular ***,plasmonic Bi quantum dots were immobilized on phosphoric acid modified attapulgite(P-ATP)nanorod using an in-situ reduction-deposition method,and were employed for photocatalytic reduction of CO_(2)coupled with oxidation of biomass-derived benzyl *** revealed that Bi atoms successfully integrated into the basal structure of P-ATP,forming chemically coordinated Bi-O-Si bonds that served as efficient transportation channels for *** incorporation of high-density monodispersed Bi quantum dots induced a surface plasmon resonance(SPR)effect,expanding the light absorption range into the near-infrared *** a consequence,the photo-thermal transformation was significantly accelerated,leading to enhanced reaction ***,50%Bi/P-ATP nanocomposite exhibited the highest plasmon-mediated photocatalytic CH4 generation(115.7μmol·g^(−1)·h^(−1))and CO generation(44.9μmol·g^(−1)·h^(−1)),along with remarkable benzaldehyde generation rate of 79.5μmol·g^(−1)·h^(−1)in the photo-redox coupling system under solar light *** hydrogen protons released from the oxidation of benzyl alcohol facilitated the incorporation of more hydrogen protons into CO_(2)to form key CH_(3)O−*** work demonstrates the synergistic solar-driven valorization of CO_(2)and biomass using natural mineral based catalyst.

关键词： photothermal catalysis clay mineral plasmon CO_(2)reduction biomass conversion

Stripping of aggregate from mortar in waste concrete heated by microwave:Mechanisms of differential-temperature stress and vapor expansion pressure

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 538-558页

作者： Yanping Sheng Xiao Huan Peizhen Hu Liangliang Li Ahmed Abdulakeem Zhoujing Ye Linbing Wang Yanping Yin School of Materials Science and Engineering Chang'an UniversityXi'an 710064China Engineering Research center of Transportation Materials Ministry of EducationChang'an UniversityXi'an 710064China National center for Materials Service Safety University of Science and Technology BeijingBeijing 100083China School of Environmental CivilAgricultural and Mechanical EngineeringCollege of EngineeringUniversity of GeorgiaAthensGA 30602USA

Microwave heating,which is used for pre-treatment of concrete before it is comminuted,stands as a strong candidate for selective liberation of multiphase materials like *** paper is concerned with the selective liberation of concrete's raw constituents(particularly aggregate)for recycling by considering the water content of concrete as a parameter of microwave heating for the first *** deterioration law of the concrete's performance was characterized by the variation in the splitting tensile strength and relative dynamic modulus after heating by microwave at different water ***,tests were conducted to evaluate the performance of the interface transition zone(ITZ)between aggregate and mortar as well as to investigate the reasons for the stripping behavior of aggregate-mortar,which included the interface tensile strength test,temperature measurement,and porosity *** deterioration law of splitting tensile strength and relative dynamic modulus revealed that the performance of concrete was subject to different degrees of damage depending on the water ***,experimental results showed that interface bonding strength between aggregate and mortar was dramatically impaired,and a large temperature difference was generated between the aggregate and mortar during microwave ***,the permeable pores increased considerably even when the specimens were *** the presence of water,the intactness of ITZ between aggregate and mortar was destroyed by microwave heating,and its performance was significantly lowered,which led to the occurrence of stripping behavior between aggregate and *** was reaffirmed by the microstructure presented by scanning electron ***,the newly developed microwave pretreatment improved by providing appropriate water contents for concrete corresponding to different strength grades is a promising method for recycling aggregate from waste concrete.

关键词： Waste concrete Recycled aggregate Microwave heating Stripping behavior Differential-temperature stress Vapor expansion pressure

Why and how to use the SeqCode

在线全文

学校读者我要写书评

暂无评论

mLife 2024年第1期3卷 1-13页

作者： Wiliam B.Whitman Maria Chuvochina Brian P.Hedlund Konstantinos T.Konstantinidis Marike Palmer Luis M.Rodriguez-R lain Sutcliffe Fengping Wang Deparment of Microbioogy University of GeorgiaAthensGeorgiaUAA Schoolof Chemistry and Molecular Biosciences Australian CentreforEogenomicsThe Universty of QueenslandSt LuciaAustralia university of Nevada Las Vegas Las VegasNevadaUSA Schol of Civil and Environmental Engineering and School of Biological SciencesGeorgia Institute of TechnologyAtlantaGeorgiaUSA Department of Microbiology University of ManitobaWinnipegManitobaCanada School of Life Sciences University of Nevada Las VegasLas VegasNevadaUSA Department of Microbiology and Digital Science center(DiSC) University of InnsbruckInnsbruckAustria Faculty of Health&Life Sciences Northumbria UniversityNewcastle upon TyneUK School of Oceanography International Center for Deep Life InvestigationShanghai Jiao Tong UniversityShanghaiChina

The SeqCode,formally called the Code of Nomenclature of Prokaryotes Described from Sequence Data,is a new code of nomenclature in which genome sequences are the nomenclatural types for the names of prokaryotic *** similar to the International Code of Nomenclature of Prokaryotes(ICNP)in structure and rules of priority,it does not require the deposition of type strains in international culture ***,it allows for the formation of permanent names for uncultured prokaryotes whose nearly complete genome sequences have been obtained directly from environmental DNA as well as other prokaryotes that cannot be deposited in culture *** the diversity of uncultured prokaryotes greatly exceeds that of readily culturable prokaryotes,the SeqCode is the only code suitable for naming the majority of prokaryotic *** start date of the SeqCode was January 1,2022,and the online Registry(https://***)was created to ensure valid publication of *** SeqCode recognizes all names validly published under the ICNP before *** that date,names validly published under the SeqCode compete with ICNP names for *** a result,species can have only one name,either from the SeqCode or ICNP,enabling effective communication and the creation of unified taxonomies of uncultured and cultured *** SeqCode is administered by the SeqCode Committee,which is comprised of the SeqCode Community and elected administrative *** with an interest in the systematics of prokaryotes is encouraged to join the SeqCode Community and participate in the development of this resource.

关键词： genome sequences metagenome-assembled genomes nomenclature SeqCode