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PDMATLAB2D: A Peridynamics MATLAB Two-dimensional Code

Journal of Peridynamics and Nonlocal Modeling 2024年第1期6卷 149-205页

作者： Seleson, Pablo Pasetto, Marco John, Yohan Trageser, Jeremy Reeve, Samuel Temple Computer Science and Mathematics Division Oak Ridge National Laboratory P.O. Box 2008 MS-6013 Oak Ridge 37831-6013 TN United States Department of Mechanical and Aerospace Engineering University of California San Diego 9500 Gilman Drive La Jolla 92093 CA United States George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology 801 Ferst Dr Atlanta 30332 GA United States Center for Control Dynamical Systems and Computation University of California at Santa Barbara Harold Frank Hall Room 5119 Santa Barbara 93106 CA United States Engineering Sciences Center Sandia National Laboratories P.O. Box 5800 MS-1322 Albuquerque 87185-1322 NM United States Computational Sciences and Engineering Division Oak Ridge National Laboratory P.O. Box 2008 MS-6085 Oak Ridge 37831-6085 TN United States

PDMATLAB2D is a meshfree peridynamics implementation in MATLAB suitable for simulation of two-dimensional fracture problems. The purpose of this code is twofold. First, it provides an entry-level peridynamics computational tool for educational and training purposes. Second, it serves as an accessible and easily modifiable computational tool for peridynamics researchers who would like to adapt the code for a multitude of peridynamics simulation scenarios. The current version of the code implements a bond-based brittle elastic peridynamic model and a critical stretch criterion for bond breaking. However, the code is designed to be extendable for other peridynamic models and computational features. In this paper, we provide an overview of the code structure and functions with illustrative examples. Due to the integrated computation and postprocessing MATLAB capabilities, PDMATLAB2D can serve as an effective testbed for testing new constitutive models and advanced numerical features for peridynamics computations. © UT-Battelle, LLC, under exclusive licence to Springer Nature Switzerland AG 2024. corrected publication 2024.

关键词： Fracture Meshfree Peridynamics Two-dimensional

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The altered network complexity of resting-state functional brain activity in schizophrenia and bipolar disorder patients

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Brain science Advances 2023年第2期9卷 78-94页

作者： Yan Niu Nan Zhang Mengni Zhou Lan Yang Jie Sun Xueting Cheng Yanan Li Lefan Guo Jie Xiang Bin Wang College of Information and Computer Taiyuan University of TechnologyTaiyuan 030024ShanxiChina Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama UniversityOkayamaJapan Research Center for Medical Artificial Intelligence Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055GuangzhouChina

Schizophrenia(SZ)and bipolar disorder(BD)are two of themost frequent mental *** disorders exhibit similarpsychotic symptoms,making diagnosis challenging and leadingto ***,the network complexity changes drivingspontaneous brain activity in SZ and BD patients are still *** entropy(FE)is a novel way of measuring the dispersion(or spread)of functional connectivities inside the *** FE wasutilized in this study to examine the network complexity of the resting-state fMRI data of SZ and BD patients at three levels,including global,modules,and *** three levels,the FE of SZand BD patients was considerably lower than that of normal control(NC).At the intra-module level,the FE of SZ was substantially higher than that of BD in the cingulo-opercular ***,a strong negative association between FE and clinical measureswas discovered in patient ***,we classified using theFE features and attained an accuracy of 66.7%(BD *** ***)and an accuracy of 75.0%(SZ ***).These findings proposed that network connectivity’s complexity analyses using FE can provideimportant insights for the diagnosis of mental illness.

关键词： functional entropy network complexity schizophrenia bipolar disorder resting-state fMRI

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Optimal Participation of Virtual Power Plants in the Electricity Market Considering Multi-Energy systems

Optimal Participation of Virtual Power Plants in the Electri...

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International Conference on Smart Energy systems and Technologies (SEST)

作者： Mohammad Sadegh Javadi Gerardo J. Osório André S. Parente João P.S. Catalão Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Portucalense University Infante D. Henrique (UPT) / REMIT Porto Portugal Faculty of Engineering University of Porto Porto Portugal Research Center for Systems and Technologies (SYSTEC) Advanced Production and Intelligent Systems Associate Laboratory (ARISE) Faculty of Engineering University of Porto Porto Portugal

The growth and modernization of the power system are the keys to enabling economic progress. The deregulation, added to the new emerging production technologies, conversion, and storage, triggered a change in the way of managing the power system worldwide. This work analyses the optimal dispatch of a virtual power plant (VPP) with active participation in the electricity market, considering multi-energy systems. The objective is to minimize the total operating cost of the power plant. The power plant is fed by two external networks: electrical and natural gas. The VPP is composed of energy production, conversion, and storage technologies, also considering the integration of a wind turbine and a set of electric vehicles (EVs). In addition to the Grid-to-Vehicle (G2V) charging, the advantage of Vehicle-to-Grid (V2G) technology is also verified, which allows the injection of power into the grid through the vehicles and Vehicle-to-Load (V2L) technology, enabling EVs to contribute to the satisfaction of the electrical load, reducing the costs, showing the advantages as well of EVs' integration in the VPP under analysis.

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Adhesive-less bonding of incompatible thermosetting materials

RSC Applied Polymers

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RSC Applied Polymers 2024年第1期3卷 247-256页

作者： Khairkkar, Shhyam Pansare, Amol V. Pansare, Shubham V. Chhatre, Shraddha Y. Sakamoto, Junji Barbezat, Michel Terrasi, Giovanni P. Patil, Vishwanath R. Nagarkar, Amit A. Naito, Masanobu Data-Driven Polymer Design Group Research and Services Division of Materials Data and Integrated System (MaDIS) National Institute for Materials Science (NIMS) 1-2-1 Sengen Ibaraki Tsukuba 305-0047 Japan Composites Group Mechanical Systems Engineering Swiss Federal Laboratories for Materials Science and Technology-Empa ETH Domain Dübendorf 8600 Switzerland Department of Chemistry University of Mumbai Santacruz (E) Mumbai 400098 India National Chemical Laboratory (NCL) Dr Homi Bhabha Road Pune 411008 India Advanced Material Technology Center Technology Division Panasonic Holdings Corporation 1006 Kadoma Kadoma City Osaka 571-8508 Japan Datacule Inc. 529 Main St. Boston 02129 MA United States

We show that dynamic covalent exchange at the interface of two thermosetting polymers results in strong bonding between the materials via creation of a new material at the interface. Thus, polymers of significantly different polarities can be bonded without the use of adhesives. We also show that such dynamic covalent exchange is not only limited to the interface but also penetrates into the bulk material (ca. 20 microns), thereby creating a strong bond. The creation of a new material at the interface was confirmed by Energy Dispersive X-ray (EDX) elemental mapping as well as a new glass transition temperature at the interface. Using this phenomenon, we show that hydrophobic, compliant polymers can also be used as adhesives for polar, stiff materials. We also show that such dynamic exchange also takes place in the presence of fillers like nano-silica. Lastly, using this technique, we demonstrate the adhesive-less fabrication of layered materials where each layer has vastly different polarities and mechanical properties, thereby tuning the failures modes of the resulting composite material. © 2025 RSC.

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Design Considerations for Electric Traction Power systems

Design Considerations for Electric Traction Power Systems

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IEEE Transportation Electrification Conference and Expo (ITEC)

作者： Anindita Golder Jigyesh Sharma Kushan Tharuka Tarlochan Sidhu Sheldon S. Williamson Department of Electrical and Computer Engineering Advanced Storage Systems and Electric Transportation (ASSET) Laboratory Ontario Tech-Automotive Center of Excellence (ACE) Faculty of Engineering and Applied Science Smart Transportation Electrification and Energy Research (STEER) Group Ontario Tech University Oshawa ON Canada

There is growing interest in e-mobility which is not only limited to electric vehicles but also mass transit systems, heavy duty vehicles, off-road vehicles and so on. With the intense focus on sustainability and achieving net zero emissions, most transit systems will be electrified. The impact of mass transit electrification on the existing power system needs a thorough and detailed analysis. Also, the upgrade from fuel powered transit systems to electric transit systems needs to be done with minimal changes to the existing power network and maximum utilization of available resources in the transit system. Therefore, the study of electric transit systems, its impact on the power system and challenges that can arise from electrifying railways are presented in this paper.

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Recent Advancements in Vehicle to Vehicle Charging

Recent Advancements in Vehicle to Vehicle Charging

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International Conference on Power Electronics and Drive systems (PEDS)

作者： Anindita Golder Kushan Tharuka Lulbadda Tarlochan Sidhu Sheldon S. Williamson Department of Electrical and Computer Engineering Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory Ontario Tech-Automotive Center of Excellence (ACE) Faculty of Engineering and Applied Science Ontario Tech University Oshawa ON Canada

More and more electric vehicles and charging stations are penetrating into the power system today which introduce new challenges. As a result, the concept of vehicle to vehicle charging (V2V) is gaining interest. Therefore, it is important to understand the concept of V2V charging. In this paper, some of the recent developments in the area of vehicle to vehicle (V2V) charging are explored.

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Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery

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IEEE Access 2025年 13卷 103880-103897页

作者： Ching-Chun Chang Kai Gao Shuying Xu Anastasia Kordoni Christopher Leckie Isao Echizen Information and Society Research Division National Institute of Informatics Tokyo Japan Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan Department of Psychology Lancaster University Lancaster U.K. Department of Computing and Information Systems University of Melbourne Melbourne VIC Australia Graduate School of Information Science and Technology University of Tokyo Tokyo Japan School of Multidisciplinary Sciences Graduate University for Advanced Studies (SOKENDAI) Kanagawa Japan

Neural backdoors represent insidious cybersecurity loopholes that render learning machinery vulnerable to unauthorised manipulations, potentially enabling the weaponisation of artificial intelligence with catastrophic consequences. A backdoor attack involves the clandestine infiltration of a trigger during the learning process, metaphorically analogous to hypnopaedia, where ideas are implanted into a subject’s subconscious mind under the state of hypnosis or unconsciousness. When activated by a sensory stimulus, the trigger evokes a conditioned reflex that directs a machine to mount a predetermined response. In this study, we propose a cybernetic framework for constant surveillance of backdoor threats, driven by the dynamic nature of untrustworthy data sources. We develop a self-aware unlearning mechanism to autonomously detach a machine’s behaviour from the backdoor trigger. Through reverse engineering and statistical inference, we detect deceptive patterns and estimate the likelihood of backdoor infection. We employ model inversion to elicit artificial mental imagery, using stochastic processes to disrupt optimisation pathways and avoid convergent but potentially flawed patterns. This is followed by hypothesis analysis, which estimates the likelihood of each potentially malicious pattern as the true trigger and infers the probability of infection. The primary objective of this study is to maintain a stable state of equilibrium between knowledge fidelity and backdoor vulnerability.

关键词： Data models Soft sensors Vehicle dynamics Reverse engineering Predictive models Optimization Cyberspace Cybernetics Weapons Trojan horses

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Prediction Method of Truck Travel Time in Open Pit Mines Based on LSTM Model

Prediction Method of Truck Travel Time in Open Pit Mines Bas...

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第42届中国控制会议

作者： Mengting Ao Changhe Li Shengxiang Yang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Computer Science and Informatics De Montfort University

Aiming at the prediction of truck travel time in open pit mines,we established a prediction model based on long short-term memory(LSTM).This model fully accounts for 11 factors,including the nature of trucks,weather,road conditions,and driver's behaviors,as well as the influence of neighbor road segments in the route on the current predicted road *** experiment shows that the error of the LSTM prediction model is significantly reduced compared with S VR and BP *** addition,the maximum absolute mean error under different conditions is less than 12 seconds.

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Musculoskeletal organoids: An emerging toolkit for establishing personalized models of musculoskeletal disorders and developing regenerative therapies

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Acta Biomaterialia 2025年 200卷 158-186页

作者： Liu, Yuwei Zhou, Zhilong Lu, Gang Zhang, Xin Shi, Dongquan Tong, Liping Chen, Di Tuan, Rocky S. Li, Zhong Alan Department of Orthopedics The First Affiliated Hospital Zhejiang University School of Medicine Hangzhou310003 China Department of Biomedical Engineering The Chinese University of Hong Kong Hong Kong Institute for Tissue Engineering and Regenerative Medicine School of Biomedical Sciences The Chinese University of Hong Kong Hong Kong Center for Neuromusculoskeletal Restorative Medicine Hong Kong Science Park Hong Kong Institute of Sports Medicine Beijing Key Laboratory of Sports Injuries Peking University Third Hospital Beijing 100191 China Division of Sports Medicine and Adult Reconstructive Surgery Department of Orthopedic Surgery Nanjing Drum Tower Hospital The Affiliated Hospital of Nanjing University Medical School Nanjing210008 China Research Center for Computer-aided Drug Discovery Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Department of Pharmacology Faculty of Pharmaceutical Sciences Shenzhen University of Advanced Technology Shenzhen518000 China Peter Hung Pain Research Institute Faculty of Medicine The Chinese University of Hong Kong Shatin New Territories Hong Kong Department of Sports Medicine The First Affiliated Hospital of Shenzhen University Shenzhen Second People's Hospital Guangdong Shenzhen518035 China

Musculoskeletal (MSK) conditions are the primary cause of physical disability globally. These disorders are physically and mentally debilitating and severely impact the patients’ quality of life. As the median age of the world's population increases, there has been an intensifying urgency of developing efficacious therapies for various orthopaedic conditions. Furthermore, the highly heterogeneous nature of MSK conditions calls for a personalized approach to studying disease mechanisms and developing regenerative treatments. Organoids have emerged as an advanced approach to generating functional tissue/organ mimics in vitro, which hold promise in MSK regeneration, disease modeling, and therapeutic development. Herein, we review the preparation, characterization, and application of various MSK organoids. We highlight the potential of patient-specific organoids in the development of personalized medicine and discuss the challenges and opportunities in the future development of MSK organoids. Statement of significance: Despite decades of research, translation of MSK research into clinical applications remains limited, partially attributed to our inadequate understanding of disease mechanisms. To advance therapeutic development, there are critical needs for MSK disease models with higher clinical relevance and predictive power. Additionally, engineered constructs that closely mimic the structural and functional features of native MSK tissues are highly desirable. MSK organoids have emerged as a promising approach to meet the above requirements. To unleash the full potential of MSK organoids necessitates a comprehensive understanding of their categories, construction, development, functions, applications, and challenges. This review aims to fulfill this crucial need, aiming to accelerate the clinical translation of MSK organoid platforms to benefit millions of patients afflicted with MSK conditions. © 2025 The Authors

关键词： Theranostics

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Stability and dynamics of massive vortices in two-component Bose-Einstein condensates

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Physical Review E 2025年第3期111卷 034216-034216页

作者： J. D'Ambroise W. Wang C. Ticknor R. Carretero-González P. G. Kevrekidis Department of Mathematics Computer & Information Science State University of New York (SUNY) College at Old Westbury Westbury New York 11568 USA College of Physics Sichuan University Chengdu 610065 China Theoretical Division Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Nonlinear Dynamical Systems Group Computational Sciences Research Center and Department of Mathematics and Statistics San Diego State University San Diego California 92182-7720 USA Department of Mathematics and Statistics University of Massachusetts Amherst Massachusetts 01003-4515 USA

The study of structures involving vortices in one component and bright solitary waves in another has a time-honored history in two-component atomic Bose-Einstein condensates. In the present work, we revisit this topic, extending considerations well past the near-integrable regime of nearly equal scattering lengths. Instead, we focus on stationary states and spectral stability of such structures for large values of the intercomponent interaction coefficient. We find that the state can manifest dynamical instabilities for suitable parameter values. We also explore a phenomenological, yet quantitatively accurate upon suitable tuning, particle model which, also in line with earlier works, offers the potential of accurately following the associated stability and dynamical features. Finally, we probe the dynamics of the unstable vortex-bright structure, observing an unprecedented, to our knowledge, instability scenario in which the oscillatory instability leads to a patch of vorticity that harbors and eventually ejects multiple vortex-bright structures.

关键词： Vortex flow

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