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Optically driven intelligent computing with ZnO memristor

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Fundamental Research 2024年第1期4卷 158-166页

作者： Jing Yang Lingxiang Hu Liufeng Shen Jingrui Wang Peihong Cheng Huanming Lu Fei Zhuge Zhizhen Ye Ningbo Institute of Materials Technology and Engineering Chinese Academy of SciencesNingbo 315201China center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100029China center for Excellence in Brain Science and intelligence Technology Chinese Academy of SciencesShanghai 200072China Institute of Wenzhou Zhejiang UniversityWenzhou 325006China State Key Laboratory of Silicon Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China

Artificial vision is crucial for most artificial intelligence *** artificial visual systems have been facing challenges in terms of real-time information processing due to the physical separation of sensors,memories,and processors,which results in the production of a large amount of redundant data as well as the data conversion and transfer between these three components consuming most of the time and *** optoelectronic memristors with the ability to realize integrated sensing-computing-memory(ISCM)are key candidates for solving such challenges and therefore attract increasing *** present,the memristive ISCM devices can only perform primary-level computing with external light signals due to the fact that only monotonic increase of memconductance upon light irradiation is achieved in most of these ***,we propose an all-optically controlled memristive ISCM device based on a simple structure of Au/ZnO/Pt with the ZnO thin film sputtered at pure Ar *** device can perform advanced computing tasks such as nonvolatile neuromorphic computing and complete Boolean logic functions only by light irradiation,owing to its ability to reversibly tune the memconductance with ***,the device shows excellent operation stability ascribed to a purely electronic memconductance tuning ***,this study is an important step towards the next generation of artificial visual systems.

关键词： Memristor All-optically controlling ZnO thin filmArtificial vision Nonvolatile neuromorphic computing logic-in-memory

Presurgical structural imaging and clinical outcome in combined bed nucleus of the stria terminalis-nucleus accumbens deep brain stimulation for treatment-resistant depression

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General Psychiatry 2024年第3期37卷 412-421页

作者： Fengting Wang Lulin Dai Tao Wang Yingying Zhang Yuhan Wang Yijie Zhao Yixin Pan Liuguan Bian Dianyou Li Shikun Zhan Yijie Lai Valerie Voon Bomin Sun Department of Neurosurgery Shanghai Jiao Tong University Medical School Affiliated Ruijin HospitalShanghaiChina Department of Psychiatry Zhejiang University School of Medicine Sir Run Run Shaw HospitalHangzhouChina Fudan University Institute of Science and Technology for Brain-inspired intelligence ShanghaiChina Clinical Research center for Mental Disorders Shanghai Pudong New Area Mental Health CenterShanghaiChina Department of Psychiatry University of CambridgeCambridgeUK

Background Structural imaging holds great potential for precise targeting and stimulation for deep brain stimulation(DBS).The anatomical information it provides may serve as potential biomarkers for predicting the efficacy of DBS in treatment-resistant depression(TRD).Aims The primary aim is to identify preoperative imaging biomarkers that correlate with the efficacy of DBS in patients with *** Preoperative imaging parameters were estimated and correlated with the 6-month clinical outcome of patients with TRD receiving combined bed nucleus of the stria terminalis(BNST)-nucleus accumbens(NAc)*** matter(WM)properties were extracted and compared between the response/non-response and remission/non-remission *** connectome was constructed and analysed using graph *** of the volume of activated tissue(VAT)to the main modulating tracts were also estimated to evaluate the *** Differences in fibre bundle properties of tracts,including superior thalamic radiation and reticulospinal tract,were observed between the remission and nonremission *** of the centre of the VAT to tracts connecting the ventral tegmental area and the anterior limb of internal capsule on the left side varied between the remission and non-remission groups(p=0.010,t=3.07).The normalised clustering coefficient(γ)and the small-world property(σ)in graph analysis correlated with the symptom improvement after the correction of *** Presurgical structural alterations in WM tracts connecting the frontal area with subcortical regions,as well as the distance of the VAT to the modulating tracts,may influence the clinical outcome of BNST-NAc *** findings provide potential imaging biomarkers for the DBS treatment for patients with TRD.

关键词： stimulation alterations treatment

The Application of Extended Reality in Treating Children with Autism Spectrum Disorder

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Neuroscience Bulletin 2024年第8期40卷 1189-1204页

作者： Weijia Zhao Song Xu Yanan Zhang Dandan Li Chunyan Zhu Kai Wang First Clinical Medical College Anhui Medical UniversityHefei 230032China School of Biomedical Engineering Anhui Medical UniversityHefei 230032China School of Mental Health and Psychological Sciences Anhui Medical UniversityChinaHefei 230032China Research center for Translational Medicine The Second Hospital of Anhui Medical UniversityHefei 230000China Department of Neurology The First Affiliated Hospital of Anhui Medical UniversityHefei 230032China Collaborative Innovation center of Neuropsychiatric Disorders and Mental Health Hefei 230032China Institute of Artificial intelligence Hefei Comprehensive National Science CenterHefei 230088China Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders Hefei 230032China

Autism Spectrum Disorder(ASD)is a common neurodevelopmental disorder in children,characterized by social interaction,communication difficulties,and repetitive and stereotyped *** intervention methods have limitations,such as requiring long treatment periods and needing to be more convenient to *** Reality(XR)technology offers a virtual environment to enhance children's social,communication,and self-regulation *** paper compares XR theoretical models,application examples,and intervention *** study reveals that XR intervention therapy is mainly based on cognitive rehabilitation,teaching,and social-emotional learning *** utilizes algorithms,models,artificial intelligence(AI),eye-tracking,and other technologies for interaction,achieving diverse intervention *** showed effective improvement in competency barriers using XR-based multimodal interactive ***,Mixed Reality(MR)technology still requires further *** research should explore multimsodal interaction technologies combining XR and AI,optimize models,prioritize the development of MR intervention scenarios,and sustain an optimal intervention level.

关键词： Autism spectrum disorde Extended reality Multimodal interaction technologies Intervention model Treatment effectiveness evaluation

The Immense Impact of Reverse Edges on Large Hierarchical Networks

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Engineering 2024年第5期36卷 240-249页

作者： Haosen Cao Bin-Bin Hu Xiaoyu Mo Duxin Chen Jianxi Gao Ye Yuan Guanrong Chen Tamás Vicsek Xiaohong Guan Hai-Tao Zhang MOE Engineering Research center of Autonomous Intelligent Unmanned Systems State Key Laboratory of Intelligent Manufacturing Equipment and TechnologySchool of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Jiangsu Key Laboratory of Networked Collective intelligence School of MathematicsSoutheast UniversityNanjing 210096China Department of Computer Science Rensselaer Polytechnic InstituteTroyNY 12180USA Department of Electronic Engineering City University of Hong KongHong Kong 999077China Department of Biological Physics Eötvös UniversityBudapest 1117Hungary MOE Key Laboratory for Intelligent Networks and Network Security School of Automation Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China

Hierarchical networks are frequently encountered in animal groups,gene networks,and artificial engineering systems such as multiple robots,unmanned vehicle systems,smart grids,wind farm networks,and so *** structure of a large directed hierarchical network is often strongly influenced by reverse edges from lower-to higher-level nodes,such as lagging birds’howl in a flock or the opinions of lowerlevel individuals feeding back to higher-level ones in a social *** study reveals that,for most large-scale real hierarchical networks,the majority of the reverse edges do not affect the synchronization process of the entire network;the synchronization process is influenced only by a small part of these reverse edges along specific *** surprisingly,a single effective reverse edge can slow down the synchronization of a huge hierarchical network by over 60%.The effect of such edges depends not on the network size but only on the average in-degree of the involved *** overwhelming majority of active reverse edges turn out to have some kind of“bunching”effect on the information flows of hierarchical networks,which slows down synchronization *** finding refines the current understanding of the role of reverse edges in many natural,social,and engineering hierarchical networks,which might be beneficial for precisely tuning the synchronization rhythms of these *** study also proposes an effective way to attack a hierarchical network by adding a malicious reverse edge to it and provides some guidance for protecting a network by screening out the specific small proportion of vulnerable nodes.

关键词： Synchronizability Large hierarchical networks Reverse edges Information flows Complex networks

In silico off-target profiling for enhanced drug safety assessment

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Acta Pharmaceutica Sinica B 2024年第7期14卷 2927-2941页

作者： Jin Liu Yike Gui Jingxin Rao Jingjing Sun Gang Wang Qun Ren Ning Qu Buying Niu Zhiyi Chene Xia Sheng Yitian Wang Mingyue Zheng Xutong Li College of Pharmaceutical Sciences Zhejiang UniversityHangzhou 310058China Drug Discovery and Design center State Key Laboratory of Drug ResearchShanghai Institute of Materia Medica Chinese Academy of SciencesShanghai 201203China University of Chinese Academy of Sciences Beijing 100049China Nanjing University of Chinese Medicine Nanjing 210023China School of Pharmaceutical Science and Technology Hangzhou Institute for Advanced StudyHangzhou 330106China

Ensuring drug safety in the early stages of drug development is crucial to avoid costly failures in subsequent ***,the economic burden associated with detecting drug off-targets and potential side effects through in vitro safety screening and animal testing is *** off-target interactions,along with the adverse drug reactions they induce,are significant factors affecting drug *** assess the liability of candidate drugs,we developed an artificial intelligence model for the precise prediction of compound off-target interactions,leveraging multi-task graph neural *** outcomes of off-target predictions can serve as representations for compounds,enabling the differentiation of drugs under various ATC codes and the classification of compound ***,the predicted off-target profiles are employed in adverse drug reaction(ADR)enrichment analysis,facilitating the inference of potential ADRs for a *** the withdrawn drug Pergolide as an example,we elucidate the mechanisms underlying ADRs at the target level,contributing to the exploration of the potential clinical relevance of newly predicted off-target ***,our work facilitates the early assessment of compound safety/toxicity based on off-target identification,deduces potential ADRs of drugs,and ultimately promotes the secure development of drugs.

关键词： Drug safety Off-target prediction Adverse drug reactions Toxicity Molecular representation Artificial intelligence

Geyser Inspired Algorithm:A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization

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Journal of Bionic Engineering 2024年第1期21卷 374-408页

作者： Mojtaba Ghasemi Mohsen Zare Amir Zahedi Mohammad-Amin Akbari Seyedali Mirjalili Laith Abualigah Department of Electronics and Electrical Engineering Shiraz University of TechnologyShirazIran Department of Electrical Engineering Faculty of EngineeringJahrom UniversityJahromFrasIran Department of Electrical and Computer Engineering Tarbiat Modares UniversityTehranIran Department of Electrical and Computer Engineering University ofCyprusNicosiaCyprus Centre for Artificial intelligence Research and Optimisation Torrens University AustraliaBrisbaneQLD 4006Australia University Research and Innovation center Obuda University1034 BudapestHungary Department of Electrical and Computer Engineering Lebanese American UniversityByblos 13-5053Lebanon Hourani center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman 19328Jordan MEU Research Unit Middle East UniversityAmman 11831Jordan Applied Science Research center Applied Science Private UniversityAmman 11931Jordan

Over the past years,many efforts have been accomplished to achieve fast and accurate meta-heuristic algorithms to optimize a variety of real-world *** study presents a new optimization method based on an unusual geological phenomenon in nature,named Geyser inspired Algorithm(GEA).The mathematical modeling of this geological phenomenon is carried out to have a better understanding of the optimization *** efficiency and accuracy of GEA are verified using statistical examination and convergence rate comparison on numerous CEC 2005,CEC 2014,CEC 2017,and real-parameter benchmark ***,GEA has been applied to several real-parameter engineering optimization problems to evaluate its *** addition,to demonstrate the applicability and robustness of GEA,a comprehensive investigation is performed for a fair comparison with other standard optimization *** results demonstrate that GEA is noticeably prosperous in reaching the optimal solutions with a high convergence rate in comparison with other well-known nature-inspired algorithms,including ABC,BBO,PSO,and *** that the source code of the GEA is publicly available at https://***/projects/gea.

关键词： Nature-inspired algorithms Real-world and engineering optimization Mathematical modeling Geyser algorithm(GEA)

Improvement in Tol2 transposon for efficient large-cargo capacity transgene applications in cultured cells and zebrafish(Danio rerio)

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Zoological Research 2024年第3期45卷 567-574页

作者： Peng-Cheng Wang Hao Deng Rang Xu Jiu-Lin Du Rongkun Tao Department of Pediatric Cardiology Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghai 200092China Institute of Neuroscience State Key Laboratory of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China Medical School Kunming University of Science and TechnologyKunmingYunnan 650500China Scientific Research center Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghai 200092China University of Chinese Academy of Sciences Beijing 100049China School of Life Science and Technology ShanghaiTech UniversityShanghai 200031China

Most viruses and transposons serve as effective carriers for the introduction of foreign DNA up to 11 kb into vertebrate ***,their activity markedly diminishes with payloads exceeding 11 *** the payload capacity of transposons could facilitate more sophisticated cargo designs,improving the regulation of expression and minimizing mutagenic risks associated with molecular therapeutics,metabolic engineering,and transgenic animal *** this study,we improved the Tol2 transposon by increasing protein expression levels using a translational enhancer(QBI SP163,ST)and enhanced the nuclear targeting ability using the nuclear localization protein H2B(SHT).The modified Tol2 and ST transposon efficiently integrated large DNA cargos into human cell cultures(H1299),comparable to the well-established super PiggyBac ***,mRNA from ST and SHT showed a significant increase in transgene delivery efficiency of large DNA payloads(8 kb,14 kb,and 24 kb)into zebrafish(Danio rerio).This study presents a modified Tol2 transposon as an enhanced nonviral vector for the delivery of large DNA payloads in transgenic applications.

关键词： Zebrafish Tol2 transposase Transgene Large payload Synthetic biology

Performance Limits and Advancements in Single 2D Transition Metal Dichalcogenide Transistor

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Nano-Micro Letters 2024年第12期16卷 134-188页

作者： Jing Chen Ming-Yuan Sun Zhen-Hua Wang Zheng Zhang Kai Zhang Shuai Wang Yu Zhang Xiaoming Wu Tian-Ling Ren Hong Liu Lin Han Institute of Marine Science and Technology Shandong UniversityQingdao 266237ShandongPeople’s Republic of China School of Integrated Circuits and Beijing National Research center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing 100084People’s Republic of China BNRist Tsinghua UniversityBeijing 100084People’s Republic of China State Key Laboratory of Crystal Materials Shandong UniversityJinan 250100ShandongPeople’s Republic of China Shenzhen Research Institute of Shandong University Shenzhen 518057People’s Republic of China Shandong Engineering Research center of Biomarker and Artificial intelligence Application Jinan 250100People’s Republic of China

Two-dimensional(2D)transition metal dichalcogenides(TMDs)allow for atomic-scale manipulation,challenging the conventional limitations of semiconductor *** capability may overcome the short-channel effect,sparking significant advancements in electronic devices that utilize 2D *** the dimension and performance limits of transistors based on 2D TMDs has gained substantial *** review provides a comprehensive investigation into these limits of the single 2D-TMD *** delves into the impacts of miniaturization,including the reduction of channel length,gate length,source/drain contact length,and dielectric thickness on transistor operation and *** addition,this review provides a detailed analysis of performance parameters such as source/drain contact resistance,subthreshold swing,hysteresis loop,carrier mobility,on/off ratio,and the development of p-type and single logic *** review details the two logical expressions of the single 2D-TMD logic transistor,including current and *** also emphasizes the role of 2D TMD-based transistors as memory devices,focusing on enhancing memory operation speed,endurance,data retention,and extinction ratio,as well as reducing energy consumption in memory devices functioning as artificial *** review demonstrates the two calculating methods for dynamic energy consumption of 2D synaptic *** review not only summarizes the current state of the art in this field but also highlights potential future research directions and *** underscores the anticipated challenges,opportunities,and potential solutions in navigating the dimension and performance boundaries of 2D transistors.

关键词： Two-dimensional transistors Dimension limits Performance limits Memory devices Artificial synapses

Oxidation behavior of Ni-based superalloy GH4738 under tensile stress

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Rare Metals 2024年第8期43卷 3913-3920页

作者： Ji-Chong Hu Hai-Liang Huang Chong-Chong Wu Xiao-Yu Sun Jie Wang Yan-Hong Yang Jing-Long Qu Liang Jiang Jin-He Dou Yang Chen Institute for Advanced Studies in Precision Materials Yantai UniversityYantai 264005China Department of Management and Engineering Linkoping University58183LinkopingSweden Shi-Changxu Innovation center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang110016China Gaona Aero Material Co. LtdBeijing 100081China College of Artificial intelligence and Big Data Shandong First Medical University and Shandong Academy of Medical SciencesJinan250117China

Revealing the oxidation behavior of superalloys is crucial for optimizing material properties and extending service *** study investigated the oxidation behavior of superalloy GH4738 under stress states at 850℃.High-throughput specimens were fabricated to withstand different stresses at the same *** oxidation s amples were analyzed using the mass gain method to obtain oxidation kinetic *** results show that the external stress below 200 MPa could improve the oxidation resistance of the *** tensile stress increasing,the oxide layer becomes thinner,denser and more complete,while internal oxidation *** tensile stress alters the structure of the external oxide layer from a two-layer to a threelayer *** Cr_(2)O_(3) oxide layer inhibits the outward diffusion of Ti,leading to Ti enrichment at the oxide-matrix interface and altering the oxidation mechanism of GH4738.

关键词： Ni-based Superalloy Oxidation behavior Tensile stress Oxide layer