检索结果-内蒙古大学图书馆

SSRN 2022年

作者： Li, Wangliang Gupta, Rohit Zhang, Le Liu, Hongtao Zhang, Zhikai Hou, Jiayi You, Siming Ok, Yong Sik James Watt School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom Nanoengineered Systems Laboratory UCL Mechanical Engineering University College London LondonWC1E 7JE United Kingdom Wellcome EPSRC Centre for Interventional and Surgical Sciences University College London LondonW1W 7TS United Kingdom Department of Resources and Environment School of Agriculture and Biology Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China Institute of Geographic Science and Natural Resources Research Chinese Academy of Sciences Beijing100101 China CAS Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China School of Water Resources and Environment Hebei GEO University Hebei Shijiazhuang050031 China Korea Biochar Research Center APRU Sustainable Waste Management Program Division of Environmental Science and Ecological Engineering Korea University Seoul02841 Korea Republic of

Anaerobic digestion (AD) is a traditional process to achieve energy recovery from a variety of organic waste streams. However, the AD performance in terms of biogas production and process stability relies on the cooperation of the functional microbial communities and the operating parameters. The latest progress in machine learning for AD processes including optimization, parametric prediction, perturbation detection, and long-term monitoring were critically reviewed. The explainable data-driven models including black-box machine learning (ML) models and nature-inspired optimization techniques were compared, while summarizing their applications. The review also highlighted the challenges, perspectives, and opportunities for future research of applying ML for AD processes. © 2022, The Authors. All rights reserved.

关键词： Optimization

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Behavioral and game-theoretic security investments in interdependent systems modeled by attack graphs

arXiv

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arXiv 2020年

作者： Abdallah, Mustafa Naghizadeh, Parinaz Hota, Ashish R. Cason, Timothy Bagchi, Saurabh Sundaram, Shreyas School of Electrical and Computer Engineering Purdue University West Lafayette IN47907 United States Integrated Systems Engineering Department Electrical and Computer Engineering Department Ohio State University United States Kharagpur India Krannert School of Management Purdue University

We consider a system consisting of multiple interdependent assets, and a set of defenders, each responsible for securing a subset of the assets against an attacker. The interdependencies between the assets are captured by an attack graph, where an edge from one asset to another indicates that if the former asset is compromised, an attack can be launched on the latter asset. Each edge has an associated probability of successful attack, which can be reduced via security investments by the defenders. In such scenarios, we investigate the security investments that arise under certain features of human decision-making that have been identified in behavioral economics. In particular, humans have been shown to perceive probabilities in a nonlinear manner, typically overweighting low probabilities and underweighting high probabilities. We show that suboptimal investments can arise under such weighting in certain network topologies. We also show that pure strategy Nash equilibria exist in settings with multiple (behavioral) defenders, and study the inefficiency of the equilibrium investments by behavioral defenders compared to a centralized socially optimal solution. Copyright © 2020, The Authors. All rights reserved.

关键词： Investments

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Competitive ratios for online multi-capacity ridesharing

arXiv

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arXiv 2020年

作者： Lowalekar, Meghna Varakantham, Pradeep Jaillet, Patrick School of Information Systems Singapore Management University Singapore Department of Electrical Engineering and Computer Science Massachussets Institute of Technology United States

In multi-capacity ridesharing, multiple requests (e.g., customers, food items, parcels) with different origin and destination pairs travel in one resource. In recent years, online multi-capacity ridesharing services (i.e., where assignments are made online) like Uber-pool, foodpanda, and on-demand shuttles have become hugely popular in transportation, food delivery, logistics and other domains. This is because multi-capacity ridesharing services benefit all parties involved – the customers (due to lower costs), the drivers (due to higher revenues) and the matching platforms (due to higher revenues per vehicle/resource). Most importantly these services can also help reduce carbon emissions (due to fewer vehicles on roads). Online multi-capacity ridesharing is extremely challenging as the underlying matching graph is no longer bipartite (as in the unit-capacity case) but a tripartite graph with resources (e.g., taxis, cars), requests and request groups (combinations of requests that can travel together). The desired matching between resources and request groups is constrained by the edges between requests and request groups in this tripartite graph (i.e., a request can be part of at most one request group in the final assignment). While there have been myopic heuristic approaches employed for solving the online multi-capacity ridesharing problem, they do not provide any guarantees on the solution quality. To that end, this paper presents the first approach with bounds on the competitive ratio for online multi-capacity ridesharing (when resources rejoin the system at their initial location/depot after serving a group of requests). The competitive ratio is: (i) 0.31767 for capacity 2;and (ii) γ for any general capacity κ, where γ is a solution to the equation γ = (1 − γ)κ+1 Copyright © 2020, The Authors. All rights reserved.

关键词： Heuristic methods

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MatchMesh: Knowledge-based 3D Point Cloud Meshing Using Divide-and-conquer Deformation

MatchMesh: Knowledge-based 3D Point Cloud Meshing Using Divi...

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2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020

作者： Tang, Ying Sun, Shengtao Wu, Ben Department of Electrical and Computer Engineering Rowan University GlassboroNJ08028 United States State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Institute of Smart Education Qingdao Academy of Intelligent Industries Qingdao China

ISBN: (纸本)9781728168531

The reconstruction of surface mesh from point cloud is compute-intensive but also very important step in the remanufacturing and personalization industries. With more 3D scanners providing lower cost and higher resolution, further detailed point clouds can be gathered without so much effort as before. In manufacturing, there are databases which contain the origin 3D design models of the products. How to utilize the design model data for swift production of related products remains a problem for remanufacturing and customization. In order to develop a knowledge-based way of handling this problem, editing or deforming an existing mesh to match the target is an effective way of easing the workload. In this paper, we introduce a divide-and -conquer process which segments the depth scan data and then find the best match in the database as its source of deformation. The segmentation is performed on 3D point level using global features extracted by 3D CNN. After that we find best match to our knowledge with the same features to acquire a fast meshing of the target object by deforming the existing parts from the match. The deformation of parts are being done sequentially. For further performance improvement, we present a deformation training method employing transfer learning on segment editing process. © 2020 IEEE.

关键词： Image reconstruction

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Retraction notice to “Enhancing smart grid integrated renewable distributed generation capacities: Implications for sustainable energy transformation” [Sustain. Energy Technol. Assess. 66 (2024) 103793]

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Sustainable Energy Technologies and Assessments 2025年 79卷

作者： Qusay Hassan Chou-Yi Hsu Kamilia MOUNICH Sameer Algburi Marek Jaszczur Ahmad A. Telba Patrik Viktor Emad Mahrous Awwad Muhammad Ahsan Bashar Mahmood Ali Ali Khudhair Al-Jiboory Sadiq N. Henedy Aws Zuhair Sameen Maha Barakat Department of Mechanical Engineering University of Diyala Diyala Iraq Thunderbird School of Global Management Arizona State University Tempe Campus Phoenix Arizona 85004 USA Hassan 2 University of Casablanca higher school of technology of Casablanca LIPE Morocco College of Engineering Al-Kitab University Kirkuk 36015 Iraq Faculty of Energy and Fuels AGH University of Science and Technology Krakow Poland Department of Electrical Engineering College of Engineering King Saud University Riyadh 11421 Saudi Arabia Keleti Károly Faculty of Business and Management Obuda ́ University Budapest Hungary Department of Measurements and Control Systems Silesian University of Technology Gliwice 44-100 Poland Department of Construction Engineering and Project Management College of Engineering Alnoor University 41012 Mosul Iraq Mazaya University College Iraq College of Medical Techniques Al-Farahidi University Baghdad Iraq Business Administration Department Al-Turath University College Baghdad Iraq

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mTor limits autophagy to facilitate cell volume expansion and rapid wound repair in Drosophila embryos

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Developmental Cell 2025年第10期60卷 1400-1410.e3页

作者： Scepanovic, Gordana Balaghi, Negar Rothenberg, Katheryn E. Fernandez-Gonzalez, Rodrigo Department of Cell and Systems Biology University of Toronto Toronto M5S 3G5 ON Canada Ted Rogers Centre for Heart Research University of Toronto Toronto M5G 1M1 ON Canada Institute of Biomedical Engineering University of Toronto Toronto M5S 3G9 ON Canada Developmental and Stem Cell Biology Program The Hospital for Sick Children Toronto M5G 1X8 ON Canada

Embryonic wounds repair rapidly, with no inflammation or scarring. Embryonic wound healing is driven by collective cell movements facilitated by the increase in the volume of the cells adjacent to the wound. The mechanistic target of rapamycin (mTor) complex 1 (TORC1) is associated with cell growth. We found that disrupting TORC1 signaling in Drosophila embryos prevented cell volume increases and slowed down wound repair. Catabolic processes, such as autophagy, can inhibit cell growth. Five-dimensional microscopy demonstrated that the number of autophagosomes decreased during wound repair, suggesting that autophagy must be tightly regulated for rapid wound healing. mTor inhibition increased autophagy, and activating autophagy prevented cell volume expansion and slowed down wound closure. Finally, reducing autophagy in embryos with disrupted TORC1 signaling rescued cell volume changes and rapid wound repair. Together, our results show that TORC1 activation upon wounding negatively regulates autophagy, allowing cells to increase their volumes to facilitate rapid wound healing. © 2024 Elsevier Inc.

关键词： cell volume collective cell movement Drosophila embryo epithelial morphogenesis image analysis quantitative microscopy wound healing

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Implementation of evaluating edible oil quality by acceptance sampling plan with multiple independent characteristics

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Journal of Quality 2018年第1期25卷 29-37页

作者： Wu, Mei-Fang Chen, Cheng-Shih Cheng, Feng-Tsung Department of Industrial Engineering and Systems Management Feng Chia University Taiwan

The issue of food safety in modern life has become a worldwide concern, especially since edible oil is essential for the human body and many types of food processing. To control the raw material quality adequately, an incoming quality control plan is very critical. Further, the consumer should have an appropriate acceptance sampling plan to evaluate the outgoing quality of oil products. When 100% inspection is not possible, a good acceptance sampling plan utilizing random samples with reasonable size can protect the producer and consumer. The information extracted from samples can be used to estimate the product’s quality. In this paper, the process capability index CTpu is used to deal with the problem of product acceptance determination for a product with multiple independent characteristics. An illustration example based on peanut oil with specifications of benzopyrene and various polycyclic aromatic hydrocarbon (PAHs) is presented. © 2018, Chinese Society for Quality. All rights reserved.

关键词： Polycyclic aromatic hydrocarbons

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Coronavirus and sports leagues: Obtaining a fair ranking when the season cannot resume

arXiv

引用

arXiv 2020年

作者： Csató, László Laboratory on Engineering and Management Intelligence Research Group of Operations Research and Decision Systems Department of Operations Research and Actuarial Sciences Budapest Hungary

Many sports leagues are played in a tightly scheduled round-robin format, leaving a limited time window to postpone matches. If the season cannot resume due to an external shock such as the coronavirus pandemic in 2020, the ranking of the teams becomes non-trivial: it is necessary to account for schedule imbalances and possibly for the different number of matches played. First in the literature, we identify a set of desired axioms for ranking in these incomplete tournaments. It is verified that the generalised row sum, a parametric family of scoring rules, satisfies all of them. In particular, the well-established least squares method maximizes the influence of the strength of opponents on the ranking. Our approach is applied for six major premier European soccer competitions, where the rankings are found to be robust concerning the weight of adjustment for the strength of the opponents. Some methodologically simpler alternative policies are also *** Codes 15A06, 91B14 Copyright © 2020, The Authors. All rights reserved.

关键词： Sports

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Crevice Corrosion Degrades Metaphyseal Sleeves Following Total Knee Arthroplasty: A Retrieval Study

引用

The Journal of Arthroplasty 2025年

作者： Shabnam Aslani Michael A. Kurtz Christopher E. Pelt Joshua P. Rainey Michael J. Archibeck Jeremy M. Gililland William A. Sutton James A. Smith Jeremy L. Gilbert Steven M. Kurtz Implant Research Core School of Biomedical Engineering Science and Health Systems Drexel University Philadelphia PA USA Department of Orthopaedic Surgery University of Utah Salt Lake City UT USA Clemson-MUSC Bioengineering Program Clemson University Charleston SC USA

Background Surgeons use metaphyseal sleeves in revision total knee arthroplasty (TKA) to compensate for bone loss and improve stability. However, a clinical case series documented corrosion on these devices and associated the subsequent metal release with adverse local tissue reactions. In this study, we investigated corrosion at the mixed-alloy, metaphyseal sleeve-implant interface. We asked: (1) How common is corrosion? (2) Does more damage occur at the femoral cobalt chrome alloy (CoCrMo) taper? (3) What damage modes occur? Methods We analyzed 17 femoral and 15 tibial implant-sleeve components following revision surgery. First, corrosion was classified using the Goldberg score and quantified using the axial corrosion (ΔC max ) on CoCrMo implants. Then, moderately and severely corroded devices were imaged using scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS). Differences in corrosion on CoCrMo tibial and femoral implants were assessed using nonparametric statistics. Results We observed corrosion on 82% of femoral adapters, 100% of femoral sleeves, 73% of tibial trays, and 86% of tibial sleeves. On CoCrMo femoral adapters, we measured more axial corrosion than on CoCrMo tibial trays ( P = 0.04). The predominant damage modes on femoral adapters included pitting, etching, and oxide debris. On titanium alloy femoral sleeves, we documented a burnishing effect, revealing the underlying microstructure. Conclusion Our findings indicate that mechanically assisted crevice corrosion (MACC) promotes metaphyseal implant degradation. Should surgeons encounter patients who have metaphyseal sleeves and unexplained pain or suspected metal release, consider measuring metal concentrations after rigorous rule out of competing diagnoses.

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Compounding effects of climate change and WUI expansion quadruple the likelihood of extreme-impact wildfires in California

npj Natural Hazards

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npj Natural Hazards 2025年第1期2卷 1-8页

作者： Mukesh Kumar Amir AghaKouchak Mojtaba Sadegh John T. Abatzoglou Los Alamos National Laboratory Los Alamos NM USA Department of Civil and Environmental Engineering University of California Irvine CA USA Department of Earth System Science University of California Irvine CA USA United Nations University Institute for Water Environment and Health Hamilton ON Canada Department of Civil Engineering Boise State University Boise ID USA Management of Complex Systems Department University of California Merced CA USA

Previous research has examined individual factors contributing to wildfire risk, but the compounding effects of these factors remain underexplored. Here, we introduce the “Integrated Human-centric Wildfire Risk Index (IHWRI)” to quantify the compounding effects of fire-weather intensification and anthropogenic factors—including ignitions and human settlement into wildland—on wildfire risk. While climatic trends increased the frequency of high-risk fire-weather by 2.5-fold, the combination of this trend with wildland-urban interface expansion led to a 4.1-fold increase in the frequency of conditions conducive to extreme-impact wildfires from 1990 to 2022 across California. More than three-quarters of extreme-impact wildfires—defined as the top 20 largest, most destructive, or deadliest events on record—originated within 1 km from the wildland-urban interface. The deadliest and most destructive wildfires—90% of which were human-caused—primarily occurred in the fall, while the largest wildfires—56% of which were human-caused—mostly took place in the summer. By integrating human activity and climate change impacts, we provide a holistic understanding of human-centric wildfire risk, crucial for policy development.

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