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arXiv 2025年

作者： Hwang, Chi-Chuan Su, Cheng-Fang Hong, Yi-Ang Department of Engineering Science National Cheng Kung University Tainan City701 Taiwan Department of Applied Mathematics National Yang Ming Chiao Tung University Hsinchu City30010 Taiwan Undergraduate Degree Program of Systems Engineering and Technology National Yang Ming Chiao Tung University Hsinchu City30010 Taiwan Chung Cheng Institute of Technology National Defense University Taoyuan City33551 Taiwan

Quantum computing offers new opportunities for addressing complex classification tasks in biomedical applications. This study investigates two quantum machine learning models-the Quantum Support Vector Machine (QSVM) and the Variational Quantum Classifier (VQC)-in the context of B-cell epitope prediction, a key step in modern vaccine design. QSVM builds upon the classical SVM framework by using quantum circuits to encode nonlinear kernel computations, while VQC replaces the entire classification pipeline with trainable quantum circuits optimized variationally. A benchmark dataset from the Immune Epitope Database (IEDB) is used for model evaluation. Each epitope is represented by 10 physicochemical features, and dimensionality reduction via Principal Component Analysis (PCA) is applied to assess model performance across different feature spaces. We also examine the effect of sample size on prediction outcomes. Experimental results show that QSVM performs well under limited data conditions, while VQC achieves higher accuracy in larger datasets. These findings highlight the potential of quantum-enhanced models for bioinformatics tasks, particularly in supporting efficient and scalable epitope-based vaccine development. Copyright © 2025, The Authors. All rights reserved.

关键词： Epitopes

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Highly Dispersed PtPdCu Nanoparticles for Oxygen Reduction Catalytic Performance and Electronic State

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Journal of Physical Chemistry C 2025年第20期129卷 9302-9313页

作者： Wang, Pengfei Chae, Sangwoo Deng, Zhuoya Liu, Yuanyuan Zhu, Zhunda Sawada, Yasuyuki Saito, Nagahiro Department of Chemical Systems Engineering Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Nagoya 464-8603 Japan Institute of Innovation for Future Society Nagoya University Furo-cho Chikusa-ku Nagoya 464-8603 Japan Department of International Collaborative Program in Sustainable Materials and Technology Industries Between Nagoya University Chulalongkorn University Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Nagoya 464-8603 Japan Conjoint Research Laboratory Nagoya University Shinshu University Furo-cho Chikusa-ku Nagoya 464-8603 Japan

In this study, we aimed to synthesize a ternary PtPdCu nanoalloy catalyst supported on commercially available carbon black. A one-step solvothermal method with the addition of urea was adopted to obtain alloy nanoparticles of uniform size. Results showed that the adsorption and desorption of oxygen intermediates were improved in Pt₄₈Pd₃₂Cu₂₀ nanoparticles, and the overpotential was greatly reduced. In addition, the RDE test demonstrated a mass activity of 917 mA mg-1 Pt + Pd, which is approximately five times higher than the mass activity of commercial Pt/C (197 mA mg-1 Pt). Furthermore, the accelerated stress test showed that PtPdCu exhibited superior stability compared with commercial Pt/C. In the H₂-O₂ fuel cell, the maximum power output was 887 mW cm^-2, with low Pt and Pd loading (13 wt % PtPd/C) on the cathode. X-ray photoelectron spectroscopy (XPS) analysis revealed that the introduction of Pd causes the center of the Pt valence band to shift to an appropriate position, thereby weakening the adsorption of oxygen-containing intermediates throughout the PtPdCu alloy and improving the catalytic performance. © 2025 American Chemical Society.

关键词： Electrolytic reduction

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Correction: Materials laboratories of the future for alloys, amorphous, and composite materials (MRS Bulletin, (2025), 50, 2, (190-207), 10.1557/s43577-024-00846-y)

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MRS Bulletin 2025年 1-2页

作者： Banerjee, Sarbajit Meng, Y. Shirley Minor, Andrew M. Zhang, Minghao Zaluzec, Nestor J. Chan, Maria K.Y. Seidler, Gerald McComb, David W. Agar, Joshua Mukherjee, Partha P. Melot, Brent Chapman, Karena Guiton, Beth S. Klie, Robert F. McCue, Ian D. Voyles, Paul M. Robertson, Ian Li, Ling Chi, Miaofang Destino, Joel F. Devaraj, Arun Marquis, Emmanuelle A. Segre, Carlo U. Liu, Huinan H. Yang, Judith C. Momeni, Kasra Misra, Amit Abdolrahim, Niaz Medvedeva, Julia E. Cai, Wenjun Sehirlioglu, Alp Dizbay-Onat, Melike Mehta, Apurva Graham-Brady, Lori Maruyama, Benji Rajan, Krishna Warner, Jamie H. Taheri, Mitra L. Kalinin, Sergei V. Reeja-Jayan, B. Schwarz, Udo D. Simon, Sindee L. Brown, Craig M. Department of Chemistry and Department of Materials Science & Engineering Texas A & M University College Station United States Pritzker School of Molecular Engineering The University of Chicago Chicago United States Department of Materials Science & Engineering University of California Berkeley Berkeley United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory Berkeley United States Center for Nanoscale Materials Argonne National Laboratory Lemont United States Department of Physics University of Washington Seattle United States Department of Materials Science & Engineering The Ohio State University Columbus United States Department of Mechanical Engineering and Mechanics Drexel University Philadelphia United States School of Mechanical Engineering Purdue University West Lafayette United States Department of Chemistry University of Southern California Los Angeles United States Department of Chemistry Stony Brook University The State University of New York Stony Brook United States Department of Chemistry University of Kentucky Lexington United States Department of Physics University of Illinois at Chicago Chicago United States Department of Materials Science & Engineering Northwestern University Evanston Bangladesh Department of Materials Science & Engineering University of Wisconsin–Madison Madison United States Department of Materials Science and Engineering University of Pennsylvania Philadelphia United States Department of Mechanical Engineering and Materials Science Duke University Durham United States Department of Chemistry Creighton University Omaha United States Physical and Computational Sciences Directorate Pacific Northwest National Laboratory Richland United States Department of Materials Science & Engineering University of Michigan–Ann Arbor Ann Arbor United States Department of Physics Illinois Institute of Technology Chicago United States Department of Bioengineering and the Mater

This article was updated to correct Minghao Zhang’s affiliation from "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA" to "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA;Argonne National Laboratory, Lemont, USA." Argonne National Laboratory was left off the original publication. © The Author(s) 2025.

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Tribological Behaviors and Statistical Experimental Design of Sintered and Age-Hardened Aluminum–Copper Based Composites

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Lubricants 2025年第4期13卷 172-172页

作者： Popescu, Ileana Nicoleta Alhalaili, Badriyah Anghelina, Florina Violeta Nicolicescu, Claudiu Vidu, Ruxandra Faculty of Materials Engineering and Mechanics Valahia University of Targoviste Targoviste130004 Romania Valahia University of Targoviste Targoviste130004 Romania American Romanian Academy of Arts and Sciences Citrus HeightsCA95611 United States Nanotechnology and Advanced Materials Program Kuwait Institute for Scientific Research P.O. Box 24885 Safat 13109 Kuwait Department of Engineering and Management of the Technological Systems Faculty of Mechanics University of Craiova Drobeta-Turnu Severin220037 Romania Faculty of Materials Science and Engineering National University of Science and Technology POLITEHNICA Bucharest Bucharest060042 Romania

This paper reports on the influence of various processing parameters and different SiCp proportions on the outcome of mechanical, tribological, microstructural, and microcompositional investigations of Al-Cu based composites used as potential brake friction materials for eco-friendly vehicle parts. The composites were obtained by powder metallurgy, and then the sintered composite was treated at 515 ± 5 °C/6 h, quenched in water, and artificially aged at different temperatures and times. The microstructural and microcompositional investigations of the composites were made using an environmental scanning electron microscopy (ESEM), energy-dispersive X-ray spectroscopy (EDS). After analyzing the microstructures in correlation with the results of the hardness tests, the optimal proportion of SiCp and optimal heat treatment parameters were determined. The composite samples with the best properties were chosen for tribological investigation. The friction and wear tests of samples were made under dry sliding conditions using a "pin on disc" machine, at a contact pressure of 0.35 to 1.15 MPa, 2 to 4.5 m/s relative speed, and the prediction of tribological behavior was made using a linear factorial design approach. © 2025 by the authors.

关键词： Sintering

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Supply Chain Sustainability in Disruption: SC Intelligence, Customer Knowledge Transfer, and the Mediating Role of IS/IT

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IEEE engineering Management Review 2025年

作者： Ratna, Silvia Saide, Saide Rater, Salya Svyazhanovna, Baizakova Saule Herzavina, Herzavina Faculty of Information Technology Department of Informatics Engineering and Department of Information Systems Banjarmasin Indonesia State Islamic University of Sultan Syarif Kasim Riau Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau Department of Information Systems Faculty of Science and Technology Indonesia PRO Knowledge Indonesia Pekanbaru Indonesia Universitas Pahlawan Tuanku Tambusai Indonesia Lembaga Enreach UIN Suska Riau Indonesia Politeknik Aceh Selatan Department of Informatics Engineering Aceh Indonesia Information Communication Technologies Robotics in Arkalyk Pedagogical Institute Master of Natural Sciences Educational Program for the Informatics Computer Science Kazakhstan Universitas Pahlawan Tuanku Tambusai Department of Informatics Engineering Indonesia National Taiwan University of Science and Technology Taiwan

Knowledge resource and information system/technology (IS/IT) capability have been considered to improve firm performance, however there is still a gap regarding the sustainability of supply chain to face and recover from disruption (e.g., COVID-19). Questionnaire-based surveys was adopted and received feedback from sixty (160) Indonesian companies or about 28.07% of response rate. © 1973-2011 IEEE.

关键词： customer knowledge transfer disruption information system/technology (IS/IT) responding knowledge management resource-based view (RBV) Supply chain (SC) sustainability supply chain knowledge transfer

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A PERSONAL-COMPUTER SOFTWARE PACKAGE FOR POWER engineering-EDUCATION

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IEEE TRANSACTIONS ON POWER systems 1988年第4期3卷 1864-1871页

作者： GLOVER, JD Power Systems Program Department of Electrical and Computer Engineering Northeastern University Boston MA USA

The author describes a personal-computer software package recently incorporated in the power engineering program at Northeastern University. The package includes a set of computer programs which can be utilized to support classroom instruction and student design projects. The programs cover matrix operations, symmetrical components, line constant, steady-state operation of transmission lines, power flow (100 buses), symmetrical short circuits (100 buses), short circuits (100 buses), transmission-line transients, and transient stability. The computer programs, the way they are utilized, and initial student reaction are discussed. It is concluded that the availability of the power system analysis and design software package has extended classroom capabilities and enhanced student interest in power engineering courses. The reaction of students to the software has been positive, and it has allowed them to work on more difficult and realistic problems and make it an innovative tool in the learning process.< >

关键词： Microcomputers Software packages Power engineering Power system transients Power engineering computing Transmission line matrix methods Circuits Power system stability Power system analysis computing Packaging

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Collaborative management for decarbonizing canada’s multi-regional electric power systems by 2050: A factorial non-deterministic multi-stage bi-level programming model

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Energy Conversion and Management 2025年 339卷

作者： Lijun Lin Guohe Huang Bin Luo Yanyan Liu Nan Wang Environmental Systems Engineering Program University of Regina Regina Saskatchewan S4S 0A2 Canada

Multi-regional electric power systems (MEPS) management involves hierarchical decision-making, multi-dimensional uncertainties, and inter-regional interactions. Conventional deterministic single-level MEPS models struggle to balance trade-offs across multiple objectives and/or criteria at different decision levels and manage uncertainties. To support the low-carbon transition of Canadian MEPS (2031–2050), a factorial non-deterministic multi-stage bi-level programming model (FNDMSBP) is developed, with dual objectives of minimizing GHG emissions at the upper level and system costs at the lower level. By 2050, approximately 80 % of Canada’s electricity will come from non-fossil fuels, with new capacity driven by wind, carbon capture and storage (CCS), and small modular reactor technologies tailored to varying electricity demands. Average annual GHG emissions will decrease to [22.95, 24.87] Mt CO 2 eq., cutting emissions by over half from 2020 levels. Emission intensity will drop from [0.071, 0.075] to 0.013 kg/kWh, with clean power utilization rising from 0.014 to [0.024, 0.025] MWh/C$. Natural gas and uranium remain essential fuels, contributing over 87 % of energy consumption and 20 % of system costs, with sensitivity analysis highlighting natural gas prices’ significant effects on costs and emissions. Compared to single-level models, FNDMSBP demonstrates its superiority in balancing environmental and economic goals, achieving a GHG reduction of [45.06, 46.87]% with a modest cost increase of [3.56, 3.60]%. This is achieved by prioritizing emission mitigation in high-emission regions such as Alberta and Saskatchewan, while advancing natural gas-CCS and wind energy. This study will help decision-makers analyze interactions and tradeoffs between environmental and economic development under uncertainty, supporting collaborative and sustainable MEPS management.

关键词： Risk perception

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Drivetrain simulation using variational autoencoders

arXiv

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arXiv 2025年

作者： Sharma, Pallavi Urrea-Quintero, Jorge-Humberto Bogdan, Bogdan Ciotec, Adrian-Dumitru Vasilie, Laura Wessels, Henning Skull, Matteo Porsche Engineering Etzelstraße 1 Bietigheim-Bissingen74321 Germany Graduate Program Computational Sciences in Engineering Technische Universität Braunschweig Braunschweig Germany Fraunhofer Institute for Energy Economics and Energy System Technology Joseph-Beuys-Straße 8 Kassel34117 Germany Institute of Applied Mechanics Division Data-Driven Modeling of Mechanical Systems Technische Universität Braunschweig Pockelsstraße 3 Braunschweig38106 Germany

This work proposes variational autoencoders (VAEs) to predict a vehicle’s jerk from a given torque demand, addressing the limitations of sparse real-world datasets. Specifically, we implement unconditional and conditional VAEs to generate jerk signals that integrate features from different drivetrain scenarios. The VAEs are trained on experimental data collected from two variants of a fully electric SUV, which differ in maximum torque delivery and drivetrain configuration. New meaningful jerk signals are generated within an engineering context through the interpretation of the VAE’s latent space. A performance comparison with baseline physics-based and hybrid models confirms the effectiveness of the VAEs. We show that VAEs bypass the need for exhaustive manual system parametrization while maintaining physical plausibility by conditioning data generation on specific inputs. © 2025, CC BY.

关键词： Signal encoding

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Testing the Inference Accuracy of Accelerator-Friendly Approximate Phylogeny Tracking

Testing the Inference Accuracy of Accelerator-Friendly Appro...

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Computational Intelligence in Artificial Life and Cooperative Intelligent systems (ALIFE-CIS), IEEE Symposium on

作者： Matthew Andres Moreno Anika Ranjan Emily Dolson Luis Zaman Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor United States Center for the Study of Complex Systems University of Michigan Ann Arbor United States Michigan Institute for Data and AI in Society University of Michigan Ann Arbor United States Undergraduate Research Opportunities Program University of Michigan Ann Arbor United States Department of Computer Science and Engineering Michigan State University East Lansing United States Program in Ecology Evolution and Behavior Michigan State University East Lansing United States

ISBN: (数字)9798331508371

ISBN: (纸本)9798331508388

Computer simulations are an important tool for studying the mechanics of biological evolution. In particular, agent-based approaches provide an opportunity to collect high-quality records of ancestry relationships. Such phylogenies can provide insight into evolutionary dynamics within these simulations. Previous work generally tracks lineages directly, yielding an exact phylogenetic record of evolutionary history. However, challenges exist in scaling direct ancestrytracking approaches to highly-distributed, many-processor evolution in silico. An alternative approach is to estimate phylogenetic history via noncoding annotations on digital genomes, akin to how bioinformaticians build phylogenies by assessing genetic similarities between organisms. Recent work has extended this “hereditary stratigraphy” approach to support powerful hardware accelerator platforms, such as the Cerebras Wafer-Scale Engine. Although these second-generation “surface”-based hereditary stratigraphy algorithms have demonstrated order-ofmagnitude speedups over first-generation “column”-based algorithms, it remains unknown how they impact the accuracy of reconstructed phylogenies. To address this question, we assessed reconstruction accuracy under alternative configurations across a matrix of evolutionary conditions varying in selection pressure, spatial structure, and ecological dynamics. Encouragingly, we find that the second-generation approaches provide higher reconstruction quality across most surveyed conditions.

关键词： Surface reconstruction Accuracy Annotations Heuristic algorithms Computational modeling Biological system modeling Stratigraphy Phylogeny History Bars

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A Secure NFC Cardless Cash Withdrawal System 5th

A Secure NFC Cardless Cash Withdrawal System

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5th International Conference on Financial Technology, ICFT 2024

作者： Hwang, Min-Shiang Lin, Cheng-Ying Chang, Chun-Hsien Yang, Cheng-Ying Department of Computer Science and Information Engineering Asia University Taichung Taiwan Fintech and Blockchain Research Center Asia University Taichung Taiwan The Ph.D. Program in Artificial intelligence Asia University Taichung Taiwan Department of Management Information Systems National Chung Hsing University Taichung Taiwan Department of Computer Science University of Taipei Taipei Taiwan

ISBN: (纸本)9789819638109

As IoT technology grows, several different payment methods are available now. NFC (Near Field Communication) as a short-range communication technology has been applied in many fields, such as contactless payment and electronic tickets. ATM (Auto Teller Machine) also benefits from NFC technology as one way of cardless cash withdrawal. However, there are many security problems, and convenience problems exist. In security, certain kinds of attacks, such as man-in-the-middle, replay, and brute-force attacks, must be considered. These attacks may influence user privacy. Furthermore, considering user experience, existing methods may not make users feel enough convenience when using. To enhance security and user experience, we proposed a secure NFC cardless cash withdrawal system using time stamps and nonce to reduce the risk of attack and design more effortless operations for users to enhance user experience. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Automatic teller machines

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