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An Application Review of Artificial Intelligence in Prevention and Cure of COVID-19 Pandemic

computers, Materials & Continua 2020年第10期65卷 743-760页

作者： Peipeng Yu Zhihua Xia Jianwei Fei Sunil Kumar Jha Engineering Research Center of Digital Forensics Ministry of EducationSchool of Computer and SoftwareJiangsu Engineering Center of Network MonitoringJiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment TechnologyNanjing University of Information Science&TechnologyNanjing210044China IT Fundamentals and Education Technologies Applications University of Information Technology and Management in RzeszowRzeszow Voivodeship100031Poland

Coronaviruses are a well-known family of viruses that can infect humans or ***,the new coronavirus(COVID-19)has spread *** countries in the world are working hard to control the coronavirus ***,many countries are faced with a lack of medical equipment and an insufficient number of medical personnel because of the limitations of the medical system,which leads to the mass spread of *** a powerful tool,artificial intelligence(AI)has been successfully applied to solve various complex problems ranging from big data analysis to computer *** the process of epidemic control,many algorithms are proposed to solve problems in various fields of medical treatment,which is able to reduce the workload of the medical *** to excellent learning ability,AI has played an important role in drug development,epidemic forecast,and clinical *** research provides a comprehensive overview of relevant research on AI during the outbreak and helps to develop new and more powerful methods to deal with the current pandemic.

关键词： Artificial intelligence COVID-19 medical applications clinical diagnosis

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Threat-Based Declassification and Endorsement for Mobile Computing

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Chinese Journal of Electronics 2019年第5期28卷 1041-1052页

作者： YIN Lihua GUO Yunchuan ZHANG Huibing HUANG Wenting FANG Binxing Cyberspace Institute of Advanced Technology Guangzhou University The State Key Laboratory of Information Security Institute of Information Engineering CAS Guangxi Key Lab of Trusted Software Guilin University of Electronic Technology The National Computer Network Emergency Response Technical Team/Coordination Center of China

Declassification and endorsement can efficiently improve the usability of mobile ***, both declassify and endorse operations in practice are often ad-hoc and nondeterministic, thus, being insecure. From a new perspective of threat assessments,we propose the Threat-based typed security π-calculus(πTBTS) to model declassification and endorsement in mobile computing. Intuitively, when relaxing confidentiality policies and/or integrity policies, we respectively assess threats brought by performing these two relaxes. If these threats are acceptable, the declassification and/or endorsement operations are permitted; Otherwise, they are denied. The proposed assessments have explicit security conditions, results and less open parameters,so our approach solves the problem of the ad-hoc and nondeterministic semantics and builds a bridge between threat assessments and declassification/endorsement.

关键词： Declassification Endorsement Threat assessment Mobile computing π-Calculus

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Conditional Generative Modeling for Amorphous Multi-Element Materials

arXiv

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arXiv 2025年

作者： Li, Honglin Liu, Chuhao Guo, Yongfeng Luo, Xiaoshan Chen, Yijie Liu, Guangsheng Li, Yu Wang, Ruoyu Wang, Zhenyu Wu, Jianzhuo Ma, Cheng Xie, Zhuohang Lv, Jian Ding, Yufei Zhang, Huabin Luo, Jian Zhong, Zhicheng Li, Mufan Wang, Yanchao Li, Wan-Lu Key Laboratory of Material Simulation Methods and Software Ministry of Education College of Physics Jilin University Changchun China Aiiso Yufeng Li Family Department of Chemical and Nano Engineering University of California La Jolla San DiegoCA United States Institute of Molecular Engineering Plus College of Chemistry Fuzhou University Fuzhou China College of Chemistry and Molecular Engineering Peking University Beijing China School of Physics Nankai University Tianjin China Institute of Modern Physics Fudan University Shanghai China Program in Materials Science and Engineering University of California La Jolla San DiegoCA United States School of Artificial Intelligence and Data Science University of Science and Technology of China Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou215123 China International Center of Future Science Jilin University Changchun China Department of Computer Science and Engineering University of California La Jolla San DiegoCA United States Center for Renewable Energy and Storage Technologies Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia Suzhou Lab Suzhou215123 China

Amorphous multi-element materials offer unprecedented tunability in composition and properties, yet their rational design remains challenging due to the lack of predictive structure-property relationships and the vast configurational space. Traditional modeling struggles to capture the intricate short-range order that dictates their stability and functionality. We here introduce ApolloX, a pioneering predictive framework for amorphous multi-element materials, establishing a new paradigm by integrating physics-informed generative modeling with particle swarm optimization, using chemical short-range order as an explicit constraint. By systematically navigating the disordered energy landscape, ApolloX enables the targeted design of thermodynamically stable amorphous configurations. It accurately predicts atomic-scale arrangements, including composition-driven metal clustering and amorphization trends, which are well-validated by experiments, while also guiding synthesis by leveraging sluggish diffusion to control elemental distribution and disorder. The resulting structural evolution, governed by composition, directly impacts catalytic performance, leading to improved activity and stability with increasing amorphization. This predictive-experimental synergy transforms the discovery of amorphous materials, unlocking new frontiers in catalysis, energy storage, and functional disordered systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Amorphization

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Toward a Way to Benchmark Multilevel Inverter Topologies Based on Level to Components Ratio

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Canadian Journal of Electrical and computer engineering 2019年第2期42卷 78-92页

作者： Sheir, Ahmed Orabi, Mohamed Youssef, Mohamed Z. Ahmed, Mahrous Department of Electrical Computer and Software Engineering Power Electronics and Drives Applications Lab School of Engineering and Applied Science University of Ontario Institute of Technology OshawaONL1H 1K7 Canada Department of Electrical Engineering Aswan Power Electronics Applications Research Center Faculty of Engineering Aswan81542 Egypt

This paper introduces a generalized platform for the design selection of multilevel inverters (MLIs) topologies for any industry, especially in low-and medium-power applications. This platform is novel as it combines the component count and stress in any MLI in a normalized unique score. Each MLI topology is designed to match specific criteria to meet a specific application, which introduces diversified sets of merits and demerits in each case. Therefore, choosing a suitable MLI topology for the specific application is rather a difficult, time-consuming, and complex process. Moreover, the comparison can only be conducted between MLI topologies that fall under the same category. This paper introduces a comprehensive study to propose a new benchmark (BM) which can be used to compare MLI topologies regardless of their constructions or oriented applications. Each MLI topology gets a BM score based on comparative factors that evaluate its components quantitatively and qualitatively. Thus, comparing different types of MLI topologies is a simple process of comparing their calculated BM scores leading to better well-informed choice. First, the proposed BM-derived forms are discussed. Then, the proposed methodology is illustrated by applying to various types of MLI topologies including conventional and recently introduced ones. © 2003-2010 IEEE Canada.

关键词： Topology

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Cr atom lithography grating and wavelet-based phase demodulation self-mixing interferometer for traceable nanoscale displacement metrology

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Optics and Laser technology 2025年 189卷

作者： Chang, Zhikun Song, Song Han, Xiaoling Zhang, Haoran Wei, Yuchen Xiao, Guangxu Deng, Xiao Xue, Dongbai He, Chunling Xie, Yuying Cheng, Xinbin Li, Tongbao Tongji University Shanghai200092 China Institute of Precision Optical Engineering Tongji University Shanghai200092 China MOE Key Laboratory of Advanced Micro-Structured Materials Tongji University Shanghai200092 China Shanghai Frontiers Science Center of Digital Optics Tongji University Shanghai200092 China Shanghai Professional Technical Service Platform for Full-Spectrum and High-Performance Optical Thin Film Devices and Applications Tongji University Shanghai200092 China School of Physics Science and Engineering Tongji University Shanghai200092 China School of Computer Science and Technology Zhejiang University of Water Resources and Electric Power Hangzhou310018 China

High-precision nanoscale displacement measurements are crucial in semiconductor manufacturing, nanotechnology, and ultra-precision machining. The Laser Self-Mixing Grating Interferometer (SMGI) has gained widespread adoption due to its compact design, low cost, and high precision. However, its precision has been constrained by limitations in grating performance and phase resolution methods. In this study, we propose a novel SMGI system incorporating a chromium (Cr) atom lithography grating with a high line density of 4700 lines/mm, achieving picometer-level pitch accuracy. This advancement significantly enhances measurement precision. Furthermore, we introduce a Continuous Wavelet & Hilbert Transform (CWHT) algorithm to improve robustness in direction discrimination and phase resolution. Experimental results demonstrate that the system achieves an expanded uncertainty (k = 2) of 7.8 nm within a 20 μm range. This proposed system offers a compact (optical path dimensions: 49 mm × 49 mm × 20 mm), traceable, and high-precision displacement measurement solution for ultra-precision manufacturing, while also introducing an innovative signal processing approach for self-mixing interferometry. These advancements could advance nanoscale displacement measurement technology and may provide a practical solution for high-precision industrial applications. © 2025 Elsevier Ltd

关键词： Interferometry

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A Robust Watermarking Scheme Based on ROI and IWT for Remote Consultation of COVID-19

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computers, Materials & Continua 2020年第9期64卷 1435-1452页

作者： Xiaorui Zhang Wenfang Zhang Wei Sun Tong Xu Sunil Kumar Jha Jiangsu Engineering Center of Network Monitoring Engineering Research Center of Digital ForensicsMinistry of EducationSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China IT Fundamentals and Education Technologies Applications University of Information Technology and Management in RzeszowRzeszow100031Poland

In the current dire situation of the corona virus COVID-19,remote consultations were proposed to avoid cross-infection and regional differences in medical ***,the safety of digital medical imaging in remote consultations has also attracted more and more attention from the medical *** ensure the integrity and security of medical images,this paper proposes a robust watermarking algorithm to authenticate and recover from the distorted medical images based on regions of interest(ROI)and integer wavelet transform(IWT).First,the medical image is divided into two different parts,regions of interest and non-interest *** the integrity of ROI is verified using the hash algorithm,and the recovery data of the ROI region is calculated at the same ***,binary images with the basic information of patients are processed by logistic chaotic map encryption,and then the synthetic watermark is embedded in the medical carrier image using IWT *** performance of the proposed algorithm is tested by the simulation experiments based on the MATLAB program in CT images of the *** results show that the algorithm can precisely locate the distorted areas of an image and recover the original ROI on the basis of verifying image *** maximum peak signal to noise ratio(PSNR)value of 51.24 has been achieved,which proves that the watermark is invisible and has strong robustness against noise,compression,and filtering attacks.

关键词： Digital watermarking logistic hash algorithm ROI IWT

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Application of a knowledge based expert system to space shuttle main propulsion propellant loading 33rd

Application of a knowledge based expert system to space shut...

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33rd Joint Propulsion Conference and Exhibit, 1997

作者： Fineberg, Larry H. Beil, Robert Engle, James Lane, J. Randy Orbiter Main Propulsion Engineering Boeing North American Inc. Kennedy Space Center FL United States Main Propulsion Systems Engineering National Aeronautics and Space Administration Kennedy Space Center FL United States Advanced Software and Technology Applications Boeing North American Inc Kennedy Space Center FL United States Software Systems Engineering Advanced Software and Technology Applications Boeing North American Inc Kennedy Space Center FL United States

The need to apply a knowledge based artificial intelligence system is driven by the complexity of the space shuttle propellant loading process and by the need to evaluate the hardware's performance;both tasks are man-power intensive and difficult to program using standard techniques. The Propulsion Advisory Tool (PAT) identifies both actual and potential system failures and provides pertinent data required for anomaly resolution. The knowledge base is coded using a natural language interface and is developed based on existing requirements documents and knowledge captured from experts working in the propulsion arena. The development and implementation of the PAT knowledge base applies a hybrid methodology utilizing commercial off-the-shelf tools and custom computer code. Each "real" hardware component is modeled by a virtual object that is defined within the knowledge base architecture. These objects have characteristics that correspond directly to the real component. The conclusions required to establish component/system status are based upon several levels of knowledge. Specific electrical circuits have been modeled within the G2 knowledge base to show "live" wires along with active objects that represent the various talkbacks within the circuit. Thus, the systems engineer can directly relate the data provided by the computer with the paperbased circuit drawings. The PAT kn owledge based expert system continues to be an essential part of Boeing North American's Integrated Health Management philosophy. © 1997, American Institute of Aeronautics and Astronautics, Inc.

关键词： Systems engineering

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Distributed Truss Computation in Dynamic Graphs

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Tsinghua Science and technology 2023年第5期28卷 873-887页

作者： Ziwei Mo Qi Luo Dongxiao Yu Hao Sheng Jiguo Yu Xiuzhen Cheng School of Computer Science and Technology Shandong UniversityQingdao 266200China State Key Laboratory of Software Development Environment School of Computer Science and Engineering and the Beijing Advanced Innovation Center for Big Data and Brain ComputingBeihang UniversityBeijing 100191China Big Data Institute Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353China

Large-scale graphs usually exhibit global sparsity with local cohesiveness,and mining the representative cohesive subgraphs is a fundamental problem in graph *** k-truss is one of the most commonly studied cohesive subgraphs,in which each edge is formed in at least k 2 triangles.A critical issue in mining a k-truss lies in the computation of the trussness of each edge,which is the maximum value of k that an edge can be in a *** works mostly focus on truss computation in static graphs by sequential ***,the graphs are constantly changing dynamically in the real *** study distributed truss computation in dynamic graphs in this *** particular,we compute the trussness of edges based on the local nature of the k-truss in a synchronized node-centric distributed *** decomposing the trussness of edges by relying only on local topological information is possible with the proposed distributed decomposition ***,the distributed maintenance algorithm only needs to update a small amount of dynamic information to complete the *** experiments have been conducted to show the scalability and efficiency of the proposed algorithm.

关键词： distributed algorithm dynamic graph graph mining cohesive subgraph k-truss

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Fix the Tests: Augmenting LLMs to Repair Test Cases with Static Collector and Neural Reranker 35

Fix the Tests: Augmenting LLMs to Repair Test Cases with Sta...

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35th IEEE International Symposium on software Reliability engineering, ISSRE 2024

作者： Liu, Jun Yan, Jiwei Xie, Yuanyuan Yan, Jun Zhang, Jian State Key Laboratory of Computer Science Institute of Software China Chinese Academy of Sciences Technology Center of Software Engineering Institute of Software China China UCAS School of Intelligent Science and Technology Hangzhou Institute for Advanced Study China

ISBN: (纸本)9798350353884

During software evolution, it is advocated that test code should co-evolve with production code. In real development scenarios, test updating may lag behind production code changing, which may cause compilation failure or bring other troubles. Existing techniques based on pre-trained language models can be directly adopted to repair obsolete tests caused by such unsynchronized code changes, especially syntactic-related ones. However, the lack of task-oriented contextual information affects the repair accuracy on large-scale projects. Starting from an obsolete test, the key challenging task is precisely identifying and constructing Test-Repair-Oriented Contexts (TROCtxs) from the whole repository within a limited token *** this paper, we propose Synter (SYNtactic-breaking- changes-induced TEst Repair), a novel approach based on LLMs to automatically repair obsolete test cases via precise and concise TROCtxs construction. Inspired by developers' programming practices, we design three types of TROCtx: class context, usage context, and environment context. Given an obsolete test case to repair, Synter firstly collects the related code information for each type of TROCtx through static analysis techniques automatically. Then, it generates reranking queries to identify the most relevant TROCtxs, which will be taken as the repair-required key contexts and be input to the large language model for the final test *** evaluate the effectiveness of Synter, we construct a benchmark dataset that contains a set of obsolete tests caused by syntactic breaking changes. The experimental results show that Synter outperforms baseline approaches both on textual- and intent-matching metrics. With the augmentation of constructed TROCtxs, hallucinations are reduced by 57.1%. © 2024 IEEE.

关键词： Syntactics

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Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction

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Big Data Mining and Analytics 2024年第3期7卷 828-842页

作者： Jin Liu Xu Tian Hanhe Lin Hong-Dong Li Yi Pan Hunan Provincial Key Lab on Bioinformatics School of Computer Science and EngineeringCentral South UniversityChangsha 410083China Xinjiang Engineering Research Center of Big Data and Intelligent Software School of SoftwareXinjiang UniversityUrumqi 830091China School of Science and Engineering University of DundeeDundeeDD14HNUK Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Accurately diagnosing Alzheimer's disease is essential for improving elderly ***,accurate prediction of the mini-mental state examination score also can measure cognition impairment and track the progression of Alzheimer's ***,most of the existing methods perform Alzheimer's disease diagnosis and mini-mental state examination score prediction separately and ignore the relation between these two *** address this challenging problem,we propose a novel multi-task learning method,which uses feature interaction to explore the relationship between Alzheimer's disease diagnosis and minimental state examination score *** our proposed method,features from each task branch are firstly decoupled into candidate and non-candidate parts for ***,we propose feature sharing module to obtain shared features from candidate features and return shared features to task branches,which can promote the learning of each *** validate the effectiveness of our proposed method on multiple *** Alzheimer's disease neuroimaging initiative 1 dataset,the accuracy in diagnosis task and the root mean squared error in prediction task of our proposed method is 87.86%and 2.5,*** results show that our proposed method outperforms most state-of-the-art *** proposed method enables accurate Alzheimer's disease diagnosis and mini-mental state examination score ***,it can be used as a reference for the clinical diagnosis of Alzheimer's disease,and can also help doctors and patients track disease progression in a timely manner.

关键词： multi-task learning Alzheimer's disease diagnosis mini-mental state examination score prediction

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