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arXiv 2020年

作者： Zhong, Xiaoxiong Wang, Xinghan Yang, Yuanyuan Qin, Yang Ma, Xiaoke Yang, Tingting Peng Cheng Laboratory Shenzhen518000 China Graduate School at Shenzhen Tsinghua University Shenzhen518055 China Department of Electrical and Computer Engineering Stony Brook University Stony BrookNY11794 United States Shenzhen518055 China School of Computer Science and Technology Xidian University Xi’an Shaanxi710071 China School of Electrical Engineering and Intelligentization Dongguan University of Technology Dongguan523000 China

We consider the problem of intelligent and efficient task allocation mechanism in large-scale mobile edge computing (MEC), which can reduce delay and energy consumption in a parallel and distributed optimization. In this paper, we study the joint optimization model to consider cooperative task management mechanism among mobile terminals (MT), macro cell base station (MBS), and multiple small cell base station (SBS) for large-scale MEC applications. We propose a parallel multi-block Alternating Direction Method of Multipliers (ADMM) based method to model both requirements of low delay and low energy consumption in the MEC system which formulates the task allocation under those requirements as a nonlinear 0-1 integer programming problem. To solve the optimization problem, we develop an efficient combination of conjugate gradient, Newton and linear search techniques based algorithm with Logarithmic Smoothing (for global variables updating) and the Cyclic Block coordinate Gradient Projection (CBGP, for local variables updating) methods, which can guarantee convergence and reduce computational complexity with a good scalability. Numerical results demonstrate the effectiveness of the proposed mechanism and it can effectively reduce delay and energy consumption for a large-scale MEC system. Copyright © 2020, The Authors. All rights reserved.

关键词： Mobile edge computing

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A Matching Based Escape Routing Algorithm With Variable Design Rules and Multiple Constraints

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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年

作者： Chen, Chuandong Lin, Disi Liu, Qinghai He, Huan Lin, Zhifeng Liu, Genggeng Chen, Jianli Chang, Yao-Wen Fuzhou University Department of Microelectronics Fuzhou350108 China Fuzhou University Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China Center for Applied Mathematics of Fujian Province Center for Discrete Mathematics Fuzhou350108 China Hangzhou Huawei Enterprises Telecommunication Technologies Co. Ltd Hangzhou310000 China Fuzhou University Center for Discrete Mathematics and Theoretical Computer Science Fuzhou350108 China Fuzhou University College of Computer and Data Science Fuzhou350108 China Fudan University School of Microelectronics Shanghai200433 China National Taiwan University Department of Electrical Engineering Graduate Institute of Electronics Engineering Taipei106 Taiwan

Escape routing is a critical problem in PCB routing, and its quality dramatically affects the cost of the PCB design. Unlike the traditional escape routing that works mainly for the BGA with unique line width and space, this paper presents a high-performance escape routing algorithm to handle problems with variable design rules and multiple constraints. We first propose a novel obstacle-avoiding method to project pins to the boundary and construct a channel projection graph combined with a channel merging technique to handle complex irregular packages. We then construct a bi-projection graph and propose a matching-based hierarchical sequencing algorithm to consider manual constraints. We perform global routing for each pin/differential pair by congestion-avoiding path initializing and rip-up and reroute path optimizing. Finally, a length-aware detail routing algorithm is developed to optimize the line length while ensuring the differential pair constraints. The experimental results on industrial PCB instances show that our algorithm can achieve 100% routability without violating the design rules and constraints, while two state-of-the-art PCB routers, FreeRouting and Allegro, cannot complete escape routing. © 1982-2012 IEEE.

关键词： Printed circuit design

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Quantum Circuits for Exact Unitary t-Designs and Applications to Higher-Order Randomized Benchmarking

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PRX Quantum 2021年第3期2卷 030339-030339页

作者： Yoshifumi Nakata Da Zhao Takayuki Okuda Eiichi Bannai Yasunari Suzuki Shiro Tamiya Kentaro Heya Zhiguang Yan Kun Zuo Shuhei Tamate Yutaka Tabuchi Yasunobu Nakamura Photon Science Center Graduate School of Engineering The University of Tokyo Bunkyo-ku Tokyo 113–8656 Japan JST PRESTO 4–1–8 Honcho Kawaguchi Saitama 332–0012 Japan School of Mathematical Sciences Shanghai Jiao Tong University Shanghai 400240 China Department of Mathematics Hiroshima University 1-3-1 Kagamiyama Higashihiroshima 739-8562 Japan Faculty of Mathematics Kyushu University (emeritus) Fukuoka 819-0385 Japan Mathematics Division National Center for Theoretical Sciences National Taiwan University Taipei 10617 Taiwan NTT Computer and Data Science Laboratories NTT Corporation Musashino 180-8585 Japan Department of Applied Physics Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bynkyo-ku Tokyo 113-8656 Japan Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Meguro-ku Tokyo 153-8904 Japan RIKEN Center for Quantum Computing (RQC) Wako Saitama 351-0198 Japan

A unitary t-design is a powerful tool in quantum information science and fundamental physics. Despite its usefulness, only approximate implementations were known for general t. In this paper, we provide quantum circuits that generate exact unitary t-designs for any t on an arbitrary number of qubits. Our construction is inductive and is of practical use in small systems. We then introduce a tth-order generalization of randomized benchmarking (t-RB) as an application of exact 2t-designs. We particularly study the 2-RB in detail and show that it reveals self-adjointness of quantum noise, a metric related to the feasibility of quantum error correction (QEC). We numerically demonstrate that the 2-RB in one- and two-qubit systems is feasible, and experimentally characterize background noise of a superconducting qubit by the 2-RB. It is shown from the experiment that interactions with adjacent qubits induce the noise that may result in an obstacle toward a realization of QEC.

关键词： Quantum algorithms Quantum benchmarking Quantum gates Quantum protocols

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Binding energy of 3ΛH and 4ΛH via image analyses of nuclear emulsions using deep-learning

arXiv

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arXiv 2025年

作者： Kasagi, Ayumi Saito, Takehiko R. Drozd, Vasyl Ekawa, Hiroyuki Escrig, Samuel Gao, Yiming He, Yan Liu, Enqiang Muneem, Abdul Nakagawa, Manami Nakazawa, Kazuma Rappold, Christophe Saito, Nami Taki, Masato Tanaka, Yoshiki K. Wang, He Yanai, Ayari Yoshida, Junya Yoshimoto, Masahiro Graduate School of Artificial Intelligence and Science Rikkyo University 3-34-1 Nishi Ikebukuro Toshima-ku Tokyo171-8501 Japan High Energy Nuclear Physics Laboratory Cluster for Pioneering Research RIKEN 2-1 Hirosawa Wako Saitama351-0198 Japan GSI Helmholtz Centre for Heavy Ion Research Planckstrasse 1 DarmstadtD-64291 Germany Department of Physics Saitama University Saitama338-8570 Japan Energy and Sustainability Research Institute Groningen University of Groningen Groningen Netherlands Instituto de Estructura de la Materia CSIC Madrid Spain Institute of Modern Physics Chinese Academy of Sciences 509 Nanchang Road Gansu Province Lanzhou730000 China University of Chinese Academy of Sciences Beijing100049 China School of Nuclear Science and Technology Lanzhou University 222 South Tianshui Road Gansu Province Lanzhou730000 China Department of Mathematics Physics and Computer Science Faculty of Science Japan Women’s University Mejirodai 2-8-1 Bunkyo-ku Tokyo112-8681 Japan Faculty of Education Gifu University 1-1 Yanagido Gifu501-1193 Japan University of Fukui 1-3-33 Kanawa Tsuruga Fukui914-0055 Japan International Center for Synchrotron Radiation Innovation Smart Tohoku University Sendai980-8577 Japan RIKEN Nishina Center RIKEN 2-1 Hirosawa Wako Saitama351-0198 Japan

Subatomic systems are pivotal for understanding fundamental baryonic interactions, as they provide direct access to quark-level degrees of freedom. In particular, the inclusion of a strange quark introduces strangeness as a new dimension, offering a powerful tool for exploring nuclear forces. The hypertriton, the lightest three-body hypernuclear system, provides an ideal testing ground for investigating baryonic interactions and quark behaviour involving up, down, and strange quarks. However, experimental measurements of its lifetime and binding energy, key indicators of baryonic interactions, exhibit significant deviations in results obtained from energetic collisions of heavy-ion beams. Identifying alternative pathways for precisely measuring the hypertriton’s binding energy and lifetime is thus crucial for advancing experimental and theoretical nuclear physics. Herein, we present an experimental study on the binding energies of 3ΛH(hypertriton) and 4ΛH, performed through the analysis of photographic nuclear emulsions using state-of-the-art technologies. By incorporating deep-learning techniques, we uncovered systematic uncertainties in conventional nuclear emulsion analysis and established a refined calibration protocol for accurately determining binding energies. Our results are independent of those obtained from heavy-ion collision experiments, thereby offering a complementary measurement and opening new avenues for investigating few-body hypernuclei interactions. © 2025, CC BY-NC-ND.

关键词： Heavy ions

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Anomaly Detection in Climate Data Using Stacked and Densely Connected Long Short-Term Memory Model

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Journal of computers (Taiwan) 2020年第4期31卷 42-53页

作者： Saleh Abbas, Bahtiar Wahyono, Teguh Heryadi, Yaya Soeparno, Haryono Doctor of Computer Science Binus Graduate Program Bina Nusantara University Jakarta Indonesia Faculty of Information Technology Satya Wacana Christian University Salatiga Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Department of Industrial Engineering Bina Nusantara University Jakarta Indonesia

Climate anomalies are considered as an important factor closely related to many disasters causing many human losses, such as airline crash, wildfires, drought and flooding in many areas. Many researchers have projected that the rising global temperature will increase the draught, especially in the mid-latitude areas. Taking those problems into account, studies on anomaly detection in climate are crucial. While climate prediction aims to analyze and model regular pattern of climate, climate anomaly studies aim to model climate deviation from its previous general patterns. Long Short Term Memory (LSTM) is a method employed in this research because it has been proven to work effectively in several anomaly detection studies, especially for data with similar characteristics. This paper presents empirical results of using Basic LSTM, Densely Connected (DC) LSTM, and Stacked-DC LSTM models to detect temperature anomaly as a manifestation of climate change in Semarang City. The results show that Stacked DC LSTM produced higher accuracy in detecting anomaly than the other two methods. © 2020 computer Society of the Republic of China. All rights reserved.

关键词： Long short-term memory

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Proximity perception in human-centered robotics: A survey on sensing systems and applications

arXiv

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arXiv 2021年

作者： Navarro, Stefan Escaida Mühlbacher-Karrer, Stephan Alagi, Hosam Zangl, Hubert Koyama, Keisuke Hein, Björn Duriez, Christian Smith, Joshua R. Inria Lille-Nord Europe France JOANNEUM RESEARCH ROBOTICS Institute for Robotics and Mechatronics Klagenfurt Austria Karlsruhe Germany Karlsruhe Institute of Technology IAR - IPR Karlsruhe Germany University of Applied Sciences Karlsruhe Germany Alpen-Adria-Universität Klagenfurt Institute of Smart System Technologies Sensors and Actuators Klagenfurt Austria Osaka University Department of Systems Innovation Graduate School of Engineering Science Osaka Japan University of Washington Allen School of Computer Science and Engineering Department of Electrical Engineering Seattle United States

—Proximity perception is a technology that has the potential to play an essential role in the future of robotics. It can fulfill the promise of safe, robust, and autonomous systems in industry and everyday life, alongside humans, as well as in remote locations in space and underwater. In this survey paper, we cover the developments of this field from the early days up to the present, with a focus on human-centered robotics. Here, proximity sensors are typically deployed in two scenarios: first, on the exterior of manipulator arms to support safety and interaction functionality, and second, on the inside of grippers or hands to support grasping and exploration. Starting from this observation, we propose a categorization for the approaches found in the literature. To provide a basis for understanding these approaches, we devote effort to present the technologies and different measuring principles that were developed over the years, also providing a summary in form of a table. Then, we show the diversity of applications that have been presented in the literature. Finally, we give an overview of the most important trends that will shape the future of this domain. © 2021, CC BY.

关键词： Surveys

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computer-aided drug discovery of a dual-target inhibitor for ovarian cancer: therapeutic intervention targeting CDK1/TTK signaling pathway and structural insights in the NCI-60

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computers in biology and medicine 2025年 193卷 110445页

作者： Sung-Ling Tang Maryam Rachmawati Sumitra Yu-Cheng Kuo Han-Lin Hsu Muhamad Ansar Sheng-Liang Huang Shih-Yu Lee Hong-Jaan Wang Bashir Lawal Alexander T H Wu Lung-Ching Chen Hsu-Shan Huang School of Pharmacy National Defense Medical Center Taipei 11490 Taiwan. PhD Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan. Department of Pharmacology School of Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan School of Post-Baccalaureate Chinese Medicine College of Chinese Medicine China Medical University Taichung 40604 Taiwan. Graduate Institute of Clinical Medicine Taipei Medical University Taipei 11031 Taiwan Division of Pulmonary Medicine Department of Internal Medicine Wanfang Hospital Taipei Medical University Taipei 11031 Taiwan. Ph.D. Program in the Clinical Drug Development of Herbal Medicine Taipei Medical University Taipei 110301 Taiwan. Graduate Institute of Aerospace and Undersea Medicine National Defense Medical Center Taipei 11490 Taiwan. UPMC Hillman Cancer Center University of Pittsburgh Pittsburgh PA USA. Ph.D. Program of Translational Medicine College of Science and Technology Taipei Medical University Taipei 11031 Taiwan. Division of Cardiology Department of Internal Medicine Shin Kong Wu Ho-Su Memorial Hospital Taipei 11101 Taiwan. School of Pharmacy National Defense Medical Center Taipei 11490 Taiwan Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan Ph.D. Program in Biotechnology Research and Development College of Pharmacy Taipei Medical University Taipei 11031 Taiwan. Electronic address: huanghs99@tmu.edu.tw.

Ovarian cancer remains the third most prevalent and deadliest gynecologic malignancy worldwide, with most patients eventually developing resistance to platinum-based chemotherapy. This highlights a critical unmet need for innovative multitargeted therapies to address current treatment challenges. In this study, we identified 35 differentially expressed genes (DEGs) through integrated analysis of four GEO ovarian cancer datasets, with validation using TCGA data. Gene Ontology (GO) and KEGG enrichment analyses highlighted key tumor-associated pathways, and protein-protein interaction (PPI) network modeling prioritized CDK1 and TTK as high-value therapeutic targets. We evaluated the association between molecular genomic features and drug responses across the NCI-60 ovarian cancer cell line panel (IGROV1, OVCAR-3, OVCAR-4, OVCAR-5, OVCAR-8, NCI/ADR-RES, and SK-OV-3), using a series of salicylanilide-derived compounds and four FDA-approved drugs (cabozantinib, paclitaxel, rapamycin, and niclosamide) from the NCI Developmental Therapeutics program (DTP). Among these, NSC765690 (MCC22) emerged as the most promising candidate. It demonstrated potent antiproliferative activity, high target selectivity, and strong binding affinity to both CDK1 and TTK. Multi-omics integration, combined with AI-driven network modeling, further elucidated NSC765690's mechanism of action and its relevance to ovarian cancer pathogenesis. Additionally, ADMET and pharmacokinetic profiling confirmed its favorable drug-like properties and low predicted toxicity. Collectively, these findings establish NSC765690 as a potent dual-target inhibitor and exemplify a rational, data-driven drug discovery pipeline for overcoming chemotherapy resistance in ovarian cancer.

关键词： Dual-target small molecule inhibitor Machine learning Molecular docking Molecular dynamics simulations NCI-60 panel Ovarian cancer

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Corrigendum to "Extracellular vesicles from human adipose-derived stem cell spheroids: Characterization and therapeutic implications in diabetic wound healing" [Mater. Today Bio Volume 29, December 2024, 101333](S2590006424003946)(10.1016/***.2024.101333)

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Materials Today Bio 2025年

作者： Quiñones, Edgar Daniel Wang, Mu-Hui Liu, Kuan-Ting Lu, Ting-Yu Lan, Guan-Yu Lin, Yu-Ting Chen, Yu-Liang Shen, Tang-Long Wu, Pei-Hsun Hsiao, Yu-Sheng Chuang, Er-Yuan Yu, Jiashing Cheng, Nai-Chen Taiwan International Graduate Program Sustainable Chemical Science & Technology Academia Sinica Institute of Chemistry Taipei115 Taiwan Department of Surgery National Taiwan University Hospital and College of Medicine Taipei100 Taiwan Department of Chemical Engineering National Taiwan University Taipei10617 Taiwan Program in Materials Science and Engineering University of California San Diego CA92093 United States Department of Plant Pathology & Microbiology National Taiwan University Taiwan Johns Hopkins Institute for NanoBioTechnology John Hopkins University Baltimore MD21218 United States Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei106 Taiwan School of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Research Center for Developmental Biology and Regenerative Medicine National Taiwan University Taipei Taiwan

The authors regret that the selected Figure 2A, depicting cell sheets and spheroids, was previously published in Stem Cell Research & Therapy (2022;13:276. https://***/10.1186/s13287-022-02948-3). This duplication was an unintentional oversight, as the image was included solely for illustrative purposes and does not contribute to any quantitative analysis. We sincerely apologize for this mistake and propose the following corrections: 1. Replacing Figure 2A with a new image as below that does not overlap with our previously published work.2. Including a correction statement clarifying that the image serves only an illustrative function and does not affect the study's quantitative ***, we have identified an error in Section 3.3 of the text, where "SEM" should be corrected to "TEM." We appreciate your consideration of these revisions and apologize for any confusion caused. The authors would like to apologize for any inconvenience caused. Your sincerely, Jiashing Yu and Nai-Chen Cheng Fixed Figure 2A[Figure presented] © 2025 The Author(s)

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Synthesis and biological evaluation of C-4 substituted phenoxazine-bearing hydroxamic acids with potent class II histone deacetylase inhibitory activities

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Journal of enzyme inhibition and medicinal chemistry 2023年第1期38卷 2212326页

作者： Jung-Chun Chu Hui-Ju Tseng Sung-Bau Lee Kai-Cheng Hsu Ling-Wei Hsin Ru-Hao Liang Tony Eight Lin Nain-Chu Gao Liang-Chieh Chen Wan-Hsun Lu Andrew H-J Wang Wei-Jan Huang Ph.D. Program in Drug Discovery and Development Industry College of Pharmacy Taipei Medical University Taipei Taiwan. School of Pharmacy Taipei Medical University Taipei Taiwan. Department of Pharmacology and Pharmaceutical Sciences School of Pharmacy University of Southern California Los Angeles California United States. Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan. Ph.D. Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan. TMU Research Center for Drug Discovery Taipei Medical University Taipei Taiwan. School of Pharmacy College of Medicine National Taiwan University Taipei Taiwan. Graduate Institute of Pharmacognosy College of Pharmacy Taipei Medical University Taipei Taiwan. The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan.

Class II histone deacetylases (HDACs) are considered as potential targets to treat Alzheimer's disease (AD). Previously, C-3 substituted phenothiazine-containing compounds with class II HDAC-inhibiting activities was found to promote neurite outgrowth. This study replaced phenothiazine moiety with phenoxazine that contains many C-3 and C-4 substituents. Some resulting compounds bearing the C-4 substituent on a phenoxazine ring displayed potent class II HDAC inhibitory activities. Structure-activity relationship (SAR) of these compounds that inhibited HDAC isoenzymes was disclosed. Molecular modelling analysis demonstrates that the potent activities of C-4 substituted compounds probably arise from π-π stacked interactions between these compounds and class IIa HDAC enzymes. One of these, compound exhibited the most potent class II HDAC inhibition (IC= 3-870 nM). Notably, it protected neuron cells from HO-induced neuron damage at sub-μM concentrations, but with no significant cytotoxicity. These findings show that compound is a lead compound for further development of anti-neurodegenerative agents.

关键词： Histone deacetylase (HDAC) neuron cells phenoxazine structure-activity relationship (SAR)

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Competitive Landscape and Industry Prospects of Techniques in the Intersection of computer science and Genomics: An Analysis Based on Patent Data

Competitive Landscape and Industry Prospects of Techniques i...

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2019第二届算法、计算和人工智能国际会议

作者： Juan HE Hongying ZHANG Lin Qiao Tsinghua Shenzhen International Graduate School Tsinghua University Department of Computer Science and Technology Tsinghua University

computer technology represented by artificial intelligence and big data has begun to combine with genetic technology, and has gradually played an increasingly important role in the fields of gene sequencing, disease diagnosis, and drug development. The intersection of computer science and genomics brings new opportunities for technological innovation in the medical field. In this context, this paper analyzes the published patents in the intersection of computer science and genomics, focusing on the comprehensive competitiveness of countries/regions, the R&D capability of major patent applicants, the content of patented technology and the industrial application of these technologies. Based on the above research, this paper points out China's competitive landscape and industry prospects in this field, and then puts forward relevant suggestions.

关键词： computer science Genomics Artificial Intelligence Patent Competiveness

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