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A I I E Transactions 2024年第2期56卷

作者： Pengcheng Dong Yang Liu Qingchun Meng Guodong Yu a School of Management Shandong University Jinan China b Department of Civil and Environmental Engineering and the Department of Industrial Systems Engineering and Management National University of Singapore Singapore

We consider a reliable network design where the facility location and road ban decisions are jointly optimized to minimize the total expected costs and risks against uncertain exogenous arc-dependent failures and customers’ endogenous interactions. We formulate endogenous customers’ choices by incorporating an expressive measure, Cumulative prospect theory, into the widely used multinomial logit model. Additionally, we use a well-known downside measure, Conditional value-at-risk, for the designer to control integrated risks from exogenous arc failures and endogenous customers’ choices. Accordingly, a mixed-integer trilinear program is developed. To solve the model, we first transform it into a class of mixed-integer linear programs based on the separable structure. Then, a customized branch-and-Benders-cut algorithm is proposed to solve these mixed-integer linear programs. We devise a set of novel valid inequalities based on the endogenous transition of choice probability to strengthen the weak relaxation of the master problem. Moreover, by aggregating the grouping and dual iterations shrinking techniques for solving sub-problems, the branch-and-Benders-cut algorithm can converge within 30 seconds and the whole problem can be solved within 15 minutes for a network with 90 nodes and 149 road segments. Some managerial insights for balancing risk and cost are finally extracted.

关键词： Network design endogenous interactions mixed-integer trilinear program branch-and-Benders-cut

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Improving Land Cover Segmentation Using Multispectral Dataset

Improving Land Cover Segmentation Using Multispectral Datase...

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International Conference on Informatics and Computing (ICIC)

作者： Herlawati Herlawati Rahmadya Trias Handayanto Yaya Heryadi Edi Abdurachman Haryono Soeparno Edy Irwansyah Eka Miranda Informatics Universitas Bhayangkara Jakarta Raya Jakarta Indonesia Computer Engineering Universitas Islam 45 Bekasi Indonesia Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Trisakti Institute of Transportation and Logistic Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia

Computer vision has been used in many areas such as medical, transportation, military, geography, etc. The fast development of sensor devices inside camera and satellite provides not only red-greed-blue (RGB) images but also multispectral dataset with some channels including RGB, infrared, short-wave, and thermal wave. Most of the dataset is panchromatic (black and white) and RGB, for example Google Map and other satellite-based map applications. This study examines the effects of multispectral dataset for semantic segmentation of land cover. The comparison between RGB with band 2 to band 7 of Landsat 8 Satellite shows an improvement of accuracy from 90.283 to 94.473 for U-Net and from 91.76 to 95.183 for DeepLabV3+. In addition, this research also compares two well-known semantic segmentation methods, namely U-Net and DeepLabV3+, that shown that DeepLabV3+ outperformed U-Net regarding to speed and accuracy. Testing was conducted in the Karawang Regency area, West Java, Indonesia.

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Specific pupylation as IDEntity reporter(SPIDER)for the identification of protein-biomolecule interactions

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Science China(Life Sciences) 2023年第8期66卷 1869-1887页

作者： He-Wei Jiang Hong Chen Yun-Xiao Zheng Xue-Ning Wang Qingfeng Meng Jin Xie Jiong Zhang ChangSheng Zhang Zhao-Wei Xu Zi-Qing Chen Lei Wang Wei-Sha Kong Kuan Zhou Ming-Liang Ma Hai-Nan Zhang Shu-Juan Guo Jun-Biao Xue Jing-Li Hou Zhe-Yi Liu Wen-Xue Niu Fang-Jun Wang Tao Wang Wei Li Rui-Na Wang Yong-Jun Dang Daniel MCzajkowsky JianFeng Pei Jia-Jia Dong Sheng-Ce Tao Shanghai Center for Systems Biomedicine Key Laboratory of Systems Biomedicine(Ministry of Education)Shanghai Jiao Tong UniversityShanghai 200240China Center for Quantitative Biology Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijing 100871China Inflammation and Immune Mediated Diseases Laboratory of Anhui Province School of PharmacyAnhui Medical UniversityHefei 230032China Key Laboratory of Organofluorine Chemistry Center for Excellence in Molecular SynthesisShanghai Institute of Organic ChemistryUniversity of the Chinese Academy of SciencesChinese Academy of SciencesShanghai 200240China College of Chemistry and Molecular Engineering Peking UniversityBeijing 100871China Key Laboratory of Gastrointestinal Cancer(Fujian Medical University) Ministry of EducationFuzhou 350122China Department of Molecular Biology Princeton UniversityNew Jersey 08540USA Instrumental Analysis Center Shanghai Jiao Tong UniversityShanghai 200240China CAS Key Laboratory of Separation Sciences for Analytical Chemistry Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Institute of Systems Biology Shenzhen Bay LaboratoryPeking University Shenzhen Graduate SchoolShenzhen 518055China Department of Medicinal Chemistry School of PharmacyChina Pharmaceutical UniversityNanjing 211198China Key Laboratory of Metabolism and Molecular Medicine the Ministry of EducationDepartment of Biochemistry and Molecular BiologySchool of Basic Medical SciencesFudan UniversityShanghai 200240China Center for Novel Target and Therapeutic Intervention Chongqing Medical UniversityChongqing 400016China School of Biomedical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Protein-biomolecule interactions play pivotal roles in almost all biological *** a biomolecule of interest,the identification of the interacting protein(s)is *** this need,although many assays are available,highly robust and reliable methods are always *** combining a substrate-based proximity labeling activity from the pupylation pathway of Mycobacterium tuberculosis and the streptavidin(SA)-biotin system,we developed the Specific Pupylation as IDEntity Reporter(SPIDER)method for identifying protein-biomolecule *** SPIDER,we validated the interactions between the known binding proteins of protein,DNA,RNA,and small *** successfully applied SPIDER to construct the global protein interactome for m^(6)A and m RNA,identified a variety of uncharacterized m^(6)A binding proteins,and validated SRSF7 as a potential m^(6)A *** globally identified the binding proteins for lenalidomide and Cob ***,we identified SARS-CoV-2-specific receptors on the cell ***,SPIDER is powerful and highly accessible for the study of proteinbiomolecule interactions.

关键词： proximity labeling protein-biomolecule interaction proteomics pupylation

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An Analysis Method for Metric-Level Switching in Beat Tracking

arXiv

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arXiv 2022年

作者： Chiu, Ching-Yu Müller, Meinard Davies, Matthew E.P. Su, Alvin Wen-Yu Yang, Yi-Hsuan Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University Academia Sinica Taiwan International Audio Laboratories Erlangen Germany Department of Informatics Engineering Centre for Informatics and Systems The University of Coimbra University of Coimbra Portugal Department of CSIE National Cheng Kung University Taiwan Taiwan AI Labs Taiwan

For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model. The model may first tap to the correct tempo, but then may fail to adapt to a tempo change, or switch between several incorrect but perceptually plausible ones (e.g., half- or double-tempo). Existing evaluation metrics for beat tracking do not reflect such behaviors, as they typically assume a fixed relationship between the reference beats and estimated beats. In this paper, we propose a new performance analysis method, called annotation coverage ratio (ACR), that accounts for a variety of possible metric-level switching behaviors of beat trackers. The idea is to derive sequences of modified reference beats of all metrical levels for every two consecutive reference beats, and compare every sequence of modified reference beats to the subsequences of estimated beats. We show via experiments on three datasets of different genres the usefulness of ACR when being utilized alongside existing metrics, and discuss the new insights that can be gained. © 2022, CC BY.

关键词： Taps

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A Unified View of Allostery.

arXiv

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arXiv 2024年

作者： Rouviere, Eric Rivoire, Olivier Ranganathan, Rama Center for Physics of Evolving Systems Department of Biochemistry & Molecular Biology University of Chicago ChicagoIL60637 United States Graduate Program in Biophysical Sciences University of Chicago ChicagoIL60637 United States Gulliver ESPCI Paris CNRS Université PSL Paris75005 France The Pritzker School for Molecular Engineering University of Chicago ChicagoIL60637 United States

Allostery is a fundamental property of proteins that represents the functional coupling between distantly located sites. In different manifestations, this property underlies signal transduction, gene expression, and regulation-elementary reactions in networks comprising cellular information and metabolic processing systems. In this work, we present a reduced theoretical model for allostery that encompasses the many diverse mechanisms described in past work. What emerges is a basic classification of different forms of allostery into two groups : those that couple distant sites through soft normal modes within a single state, and those that possess multiple states, with effective interactions between sites emerging only upon transitioning between these states. This work serves to unify the extensive past theoretical work on the phenomenology and machinery of allostery in proteins. Copyright © 2024, The Authors. All rights reserved.

关键词： Gene expression regulation

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Towards understanding structure–property relations in materials with interpretable deep learning

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npj Computational Materials 2023年第1期9卷 157-168页

作者： Tien-Sinh Vu Minh-Quyet Ha Duong-Nguyen Nguyen Viet-Cuong Nguyen Yukihiro Abe Truyen Tran Huan Tran Hiori Kino Takashi Miyake Koji Tsuda Hieu-Chi Dam Japan Advanced Institute of Science and Technology NomiIshikawaJapan HPC SYSTEMS Inc. MinatoTokyoJapan Applied Artificial Intelligence Institute Deakin UniversityGeelongVICAustralia School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGAUSA Research and Services Division of Materials Data and Integrated System National Institute for Materials ScienceTsukubaIbarakiJapan Research Center for Computational Design of Advanced Functional Materials National Institute of Advanced Industrial Science and TechnologyTsukubaIbarakiJapan Department of Computational Biology and Medical Sciences Graduate School of Frontier SciencesUniversity of TokyoKashiwa-shiChiba-kenJapan International Center for Synchrotron Radiation Innovation Smart(SRIS) Tohoku UniversityAoba-kuSendaiJapan

Deep learning(DL)models currently employed in materials research exhibit certain limitations in delivering meaningful information for interpreting predictions and comprehending the relationships between structure and material *** address these limitations,we propose an interpretable DL architecture that incorporates the attention mechanism to predict material properties and gain insights into their structure–property *** proposed architecture is evaluated using two well-known datasets(the QM9 and the Materials Project datasets),and three in-house-developed computational materials ***–test–split validations confirm that the models derived using the proposed DL architecture exhibit strong predictive capabilities,which are comparable to those of current state-of-the-art ***,comparative validations,based on first-principles calculations,indicate that the degree of attention of the atoms’local structures to the representation of the material structure is critical when interpreting structure–property relationships with respect to physical *** properties encompass molecular orbital energies and the formation energies of *** proposed architecture shows great potential in accelerating material design by predicting material properties and explicitly identifying crucial features within the corresponding structures.

关键词： properties property structure

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Fabrication of translucent graded dental crown using zirconia-yttrium multi-slurry tape casting 3D printer

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Journal of the Mechanical Behavior of Biomedical Materials 2024年 152卷 106406页

作者： Romario, Yulius Shan Bhat, Chinmai Ramezani, Maziar Pasang, Tim Chen, Zhangwei Jiang, Cho-Pei Graduate Institute of Manufacturing Technology National Taipei University of Technology 1 Sec. 3 Zhongxiao E. Rd. Taipei10608 Taiwan High-value Biomaterials Research and Commercialization Center National Taipei University of Technology 1 Sec. 3 Zhongxiao E. Rd. Taipei10608 Taiwan Department of Mechanical Engineering Auckland University of Technology Auckland1010 New Zealand Department of Engineering Design Manufacturing and Management Systems Western Michigan University KalamazooMI4900-5200 United States Additive Manufacturing Institute Shenzhen University Shenzhen518060 China Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robotics College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China Department of Mechanical Engineering National Taipei University of Technology 1 Sec. 3 Zhongxiao E. Rd. Taipei10608 Taiwan

This paper aims to fabricate functionally graded dental crown using a multi-slurry tape casting additive manufacturing technology. The different luminescence of the dental crown was obtained with different composition of zirconia and yttria. Zirconia with tunable mechanical properties and translucency are obtained by adding 3, 3.5, 4, 4.5, and 5 mol% of yttrium oxide to zirconia powder. After obtaining the printable slurry with maximum solid loading, the green bodies are prepared using the in-house built high-speed multi-ceramic tape casting technology. They are later sintered with two-stage sintering method. After the successful fabrication, the mechanical properties and translucency of the specimens were evaluated with Vickers hardness, three-point bending and translucency parameter tests. Finally, an FGM tooth crown with five photocurable slurries is proposed to demonstrate the translucent gradient effect of sintered part. The solid loading of 80% zirconia and 20% resin delivered samples without any surface cracks. The shrinkage ratio analysis showed that the sintered sample dimension was reduced by 20%, 20%, and 23% along X, Y, and Z directions. The samples fabricated with 3% yttrium oxide to zirconia delivered excellent hardness (1687 HV) and flexural strength (650.6 MPa). However, the relative luminescence increased with increasing the yttrium oxide for 3–5 mol%. With the optimized process parameters, the proposed dental crown is fabricated and analyzed for their shrinkage ratio, mechanical, and translucency properties. The study proposes the potential of fabricating customized dental crown with gradient translucent appearance. © 2024

关键词： Zirconia

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Optimization of used nuclear fuel shipments

Optimization of used nuclear fuel shipments

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2016 Industrial and systems engineering Research Conference, ISERC 2016

作者： Alaimo, Richard Cole, William Ervin, Justin Tannous, Hanna Wong, Kevin Lim, Churlzu Bader, Sven Department of Systems Engineering and Engineering Management University of North Carolina at Charlotte CharlotteNC28223 United States AREVA CharlotteNC28262 United States

Nuclear energy has been and still is an important source of energy for citizens all around the globe. However, once nuclear energy is deemed to have been used to its maximum potential, it leaves a byproduct known as spent nuclear fuel that must be stored in wet and dry storage to cool off since the material is extremely warm. This process has been going on for decades and it has gotten to the point where there is too much nuclear material in storage in the United States, and it is time to move it all to a central repository facility for final disposal or recycling. In this study, we consider a shipment and transportation plan for 12 nuclear facilities in the United States that have been decommissioned and currently contain spent nuclear fuel in dry storage. This study is involved with data mining from GIS software that measure multiple railroad routes and estimating costs for transporting the spent fuel. Once this data is acquired, we formulate the problem as a mixed integer program that provides an optimal plan, which includes shipment sequencing, resource allocation, and number of resources to purchase, while minimizing the total cost of moving spent fuel. © 2016 Proceedings of the 2016 Industrial and systems engineering Research Conference, ISERC 2016. All rights reserved.

关键词： Digital storage

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Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

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npj Flexible Electronics 2020年第1期4卷 243-254页

作者： Zixuan Zhang Tianyiyi He Minglu Zhu Zhongda Sun Qiongfeng Shi Jianxiong Zhu Bowei Dong Mehmet Rasit Yuce Chengkuo Lee Department of Electrical&Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore Centre for Intelligent Sensors and MEMS(CISM) National University of Singapore4 Engineering Drive 3Singapore 117576Singapore Hybrid Integrated Flexible Electronic Systems(HIFES) 5 Engineering Drive 1Singapore 117608Singapore Smart Systems Institute National University of Singapore3 Research LinkSingapore 117602Singapore National University of Singapore Suzhou Research Institute(NUSRI) Suzhou Industrial Park215123 SuzhouChina Department of Electrical and Computer Systems Engineering Monash UniversityMelbourneVIC 3800Australia NUS Graduate School for Integrative Science and Engineering(NGS) National University of SingaporeSingapore 119077Singapore

The era of artificial intelligence and internet of things is rapidly developed by recent advances in wearable *** reveals sensory information in daily life containing personal information,regarding identification and *** wearable electronics of gait analysis are mainly limited by high fabrication cost,operation energy consumption,or inferior analysis methods,which barely involve machine learning or implement nonoptimal models that require massive datasets for ***,we developed low-cost triboelectric intelligent socks for harvesting waste energy from low-frequency body motions to transmit wireless sensory *** sock equipped with self-powered functionality also can be used as wearable sensors to deliver information,regarding the identity,health status,and activity of the *** further address the issue of ineffective analysis methods,an optimized deep learning model with an end-to-end structure on the socks signals for the gait analysis is proposed,which produces a 93.54%identification accuracy of 13 participants and detects five different human activities with 96.67%*** practical application,we map the physical signals collected through the socks in the virtual space to establish a digital human system for sports monitoring,healthcare,identification,and future smart home applications.

关键词： Deep smart IoT

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Assessing alternatives of including social robots in urban transport using fuzzy trigonometric operators based decision-making model

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Technological Forecasting and Social Change 2023年第1期194卷

作者： Deveci, Muhammet Pamucar, Dragan Gokasar, Ilgin Zaidan, Bilal Bahaa Martinez, Luis Pedrycz, Witold Department of Industrial Engineering Turkish Naval Academy National Defence University Istanbul Tuzla34940 Turkey Royal School of Mines Imperial College London LondonSW7 2AZ United Kingdom Department of Operations Research and Statistics Faculty of Organizational Sciences University of Belgrade Belgrade11000 Serbia Department of Civil Engineering Bogazici University Istanbul Bebek34342 Turkey International Graduate School of Artificial Intelligence College of Management National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliu City64002 Taiwan Department of Computer Sciences University of Jaén Jaén23071 Spain Department of Electrical and Computer Engineering Faculty of Engineering University of Alberta 9211 116 Street NW EdmontonABT6G 1H9 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Faculty of Engineering and Natural Sciences Department of Computer Engineering Istinye University Sariyer/Istanbul Turkey College of Engineering Yuan Ze University Taiwan

Current trends point to a not-too-distant future with qualitatively advanced interactions between humans and social robots. It is critical to consider the possibility of forming meaningful social relationships with robots when defining the future of human-robot interactions, as well as studying how these interactions will evolve to the point where humans are unable to distinguish between humans and robots in urban transportation. In this study, the advantages of using social robots in urban transportation are prioritized by using a multi-criteria decision-making tool, which consists of two consecutive stages, namely: i) a novel fuzzy sine trigonometry based on the logarithmic method of additive weights (fuzzy ST-LMAW) that is proposed to calculate the criteria weights;ii) a nonlinear fuzzy Aczel-Alsina function based the weighted aggregate sum product assessment (fuzzy ALWAS-WASPAS) that is developed to select and rank the alternatives. The proposed model enables flexible nonlinear processing of complex and uncertain information encountered in real applications. A case study is developed to rank three alternatives with twelve sub-criteria grouped into four aspects using the proposed method. The results show that the most advantageous alternative is to replace people with social robots as safety drivers in level four autonomous vehicles due to their possible impact on transportation. © 2023 The Authors

关键词： Human robot interaction

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