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A multi-agent collaboration scheme for energy-efficient task scheduling in a 3D UAV-MEC space

Frontiers of Information Technology & Electronic Engineering 2024年第6期25卷 824-838页

作者： Yang LI Ziling WEI Jinshu SU Baokang ZHAO College of Computer National University of Defense TechnologyChangsha 410073China Academy of Military sciences Beijing 100091China

Multi-access edge computing(MEC)presents computing services at the edge of networks to address the enormous processing requirements of intelligent *** to the maneuverability of unmanned aerial vehicles(UAVs),they can be used as temporal aerial edge nodes for providing edge services to ground users in ***,MEC environment is usually dynamic and *** is a challenge for multiple UAVs to select appropriate service ***,most of existing works study UAV-MEC with the assumption that the flight heights of UAVs are fixed;i.e.,the flying is considered to occur with reference to a two-dimensional plane,which neglects the importance of the *** this paper,with consideration of the co-channel interference,an optimization problem of energy efficiency is investigated to maximize the number of fulfilled tasks,where multiple UAVs in a threedimensional space collaboratively fulfill the task computation of ground *** the formulated problem,we try to obtain the optimal flight and sub-channel selection strategies for UAVs and schedule strategies for *** on the multi-agent deep deterministic policy gradient(MADDPG)algorithm,we propose a curiosity-driven and twin-networks-structured MADDPG(CTMADDPG)algorithm to solve the formulated *** uses the inner reward to facilitate the state exploration of agents,avoiding convergence at the sub-optimal ***,we adopt the twin critic networks for update stabilization to reduce the probability of Q value *** simulation results show that CTMADDPG is outstanding in maximizing the energy efficiency of the whole system and outperforms the other benchmarks.

关键词： Multi-access edge computing Multi-agent reinforcement learning Unmanned aerial vehicles Task scheduling

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Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning

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Science China(Information sciences) 2024年第3期67卷 225-245页

作者： Xuanhan ZHOU Jun XIONG Haitao ZHAO Xiaoran LIU Baoquan REN Xiaochen ZHANG Jibo WEI Hao YIN College of Electronic Science and Technology National University of Defense Technology Systems Engineering Institute Academy of Military Sciences PLA

Unmanned aerial vehicles(UAVs) are recognized as effective means for delivering emergency communication services when terrestrial infrastructures are unavailable. This paper investigates a multiUAV-assisted communication system, where we jointly optimize UAVs’ trajectories, user association, and ground users(GUs)’ transmit power to maximize a defined fairness-weighted throughput metric. Owing to the dynamic nature of UAVs, this problem has to be solved in real time. However, the problem’s non-convex and combinatorial attributes pose challenges for conventional optimization-based algorithms, particularly in scenarios without central controllers. To address this issue, we propose a multi-agent deep reinforcement learning(MADRL) approach to provide distributed and online solutions. In contrast to previous MADRLbased methods considering only UAV agents, we model UAVs and GUs as heterogeneous agents sharing a common objective. Specifically, UAVs are tasked with optimizing their trajectories, while GUs are responsible for selecting a UAV for association and determining a transmit power level. To learn policies for these heterogeneous agents, we design a heterogeneous coordinated QMIX(HC-QMIX) algorithm to train local Q-networks in a centralized manner. With these well-trained local Q-networks, UAVs and GUs can make individual decisions based on their local observations. Extensive simulation results demonstrate that the proposed algorithm outperforms state-of-the-art benchmarks in terms of total throughput and system fairness.

关键词： unmanned aerial vehicle (UAV) trajectory design resource allocation multi-agent deep reinforcement learning (MADRL) heterogeneous agents

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Supportive care needs of women with gynecologic cancer and factors affecting in Turkiye: a cross sectional study

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Nursing Communications 2024年第7期8卷 1-7页

作者： Ebru Var Evşen Nazik Department of Quality Adana City HospitalAdana 4522Turkiye Department of Obstetrics and Gynecologic Nursing Faculty of Health SciencesÇukurova UniversityAdana 01330Turkiye

Background:Identifying and managing patients'supportive care needs is an essential component of health *** cancer patients'needs are multidimensional and it is important to identify these *** study was conducted to assess supportive care needs of women with gynecologic cancer and affecting ***:This cross-sectional study consisted of 98 women with gynecologic *** data of the study was gathered using“Personal Information Form”and the“James Supportive Care Screening”.Results:The most frequently reported unmet needs of gynecologic cancer patients were emotional issues,including uncertainty(87.6%),fears(85.7%),feeling down(86.7%),worry(87.6%),loss of interest in usual activities(73.3%)and physical symptoms including fatigue/lack of energy(81.9%),weakness(81.9%),lack of appetite(76.2%).The most frequently reported social/practical problems was transportation problems(50%).The mean scores for JSCS was 29.72±*** were a statistically significant difference was found only between family type,stage of the disease,and time of diagnosis,and the total mean scores of the JSCS(pservices to address the identified unmet needs should be provided.

关键词： gynecologic cancer unmet needs supportive care nursing

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New roles of research data infrastructure in research paradigm evolution

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Journal of Data and Information Science 2024年第2期9卷 104-119页

作者： Yizhan Li Lu Dong Xiaoxiao Fan Ren Wei Shijie Guo Wenzhen Ma Zexia Li National Library Science Chinese Academy of SciencesBeijing 100190China Department of Information Resources Management School of Economics and ManagementUniversity of Chinese Academy of SciencesBeijing100190China Bureau of Facility Support and Budget Chinese Academy of SciencesBeijing 100864China

Research data infrastructures form the cornerstone in both cyber and physical spaces,driving the progression of the data-intensive scientific research *** opinion paper presents an overview of global research data infrastructure,drawing insights from national roadmaps and strategic documents related to research data *** emphasizes the pivotal role of research data infrastructures by delineating four new missions aimed at positioning them at the core of the current scientific research and communication *** four new missions of research data infrastructures are:(1)as a pioneer,to transcend the disciplinary border and address complex,cutting-edge scientific and social challenges with problem-and data-oriented insights;(2)as an architect,to establish a digital,intelligent,flexible research and knowledge services environment;(3)as a platform,to foster the high-end academic communication;(4)as a coordinator,to balance scientific openness with ethics needs.

关键词： Research data infrastructure Landscape Data-centric Problem-oriented

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Participatory Forest Management and Gender Inclusiveness within the Community Forest Management Groups of Bhutan

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Journal of Geoscience and Environment Protection 2024年第4期12卷 12-30页

作者： Norbu Zangmo Takuya Hiroshima Spencer Sibanda Jigme Dorji Department of Global Agricultural sciences Graduate School of Agricultural and Life Sciences The University of Tokyo Tokyo Japan Forest Monitoring and Evaluation Section Forest Monitoring and Information Division Department of Forests and Park Services Ministry of Energy and Natural Resources Thimphu Bhutan Department of Information and Computer sciences Graduate School of Science and Engineering Saitama University Saitama Japan Project Management Unit Department of Tourism Thimphu Bhutan

Community forest management groups (CFMGs) in Bhutan exhibit participatory forest management practices that recognize the importance of community’s collective participation in the management of natural forest resources. This approach involves the community in the stewardship of designated forest areas and resources to ensure sustainable livelihoods and realization of forest conservation objectives. The increase of CFMGs in the country has been successful. However, research on the extent of gender-inclusive participation in CFMGs is either insufficient or missing vis-à-vis the allocation of decision-making power. Therefore, this study analyzes the factors influencing gender participation in CFMGs and their integration into decision-making processes. Primary data were collected from 12 study sites spanning 4 regions, complemented by secondary data from the Forest Department. Regression models were used to identify factors significantly influencing CFMG member participation in decision-making. The empirical results of this study reveal that gender is a significant factor influencing participation in CFMG decision-making. The study concludes that there is insufficient participation of women members in decision-making processes. Therefore, consideration of gender should be included in the development phase of the CFMG policy in addition to promoting awareness of inequity between gender and the promotion of leadership roles for women in CFMGs.

关键词： Decision-Making Face-to-Face Interview Regression Analysis Women

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The COVID-19 pandemic and Alzheimer’s disease: mutual risks and mechanisms

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Translational Neurodegeneration 2022年第1期11卷 343-360页

作者： Feng Chen Yanting Chen Yongxiang Wang Qiongwei Ke Lili Cui Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases Department of NeurologyAffiliated Hospital of Guangdong Medical Univer-sityZhanjiangChina Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of sciences&Yunnan Province Kunming Institute of Zoology Chinese Academy of sciences KunmingYunnanChina.

Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2), is a life-threatening disease, especially in elderly individuals and those with comorbidities. The predominant clinical manifestation of COVID-19 is respiratory dysfunction, while neurological presentations are increasingly being recognized. SARS-CoV-2 invades host cells primarily via attachment of the spike protein to the angiotensin-converting enzyme 2 (ACE2) receptor expressed on cell membranes. Patients with Alzheimer’s disease (AD) are more susceptible to SARS-CoV-2 infection and prone to severe clinical outcomes. Recent studies have revealed some common risk fac-tors for AD and COVID-19. An understanding of the association between COVID-19 and AD and the potential related mechanisms may lead to the development of novel approaches to treating both diseases. In the present review, we first summarize the mechanisms by which SARS-CoV-2 invades the central nervous system (CNS) and then discuss the associations and potential shared key factors between COVID-19 and AD, with a focus on the ACE2 receptor, apolipo-protein E (APOE) genotype, age, and neuroinflammation.

关键词： SARS-CoV-2 COVID-19 Alzheimer’s disease ACE2 APOE Age Neuroinflammation

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Weber Law Based Approach for Multi-Class Image Forgery Detection

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Computers, Materials & Continua 2024年第1期78卷 145-166页

作者： Arslan Akram Javed Rashid Arfan Jaffar Fahima Hajjej Waseem Iqbal Nadeem Sarwar Department of Computer Science Superior UniversityLahore54000Pakistan Information Technology services University of OkaraOkara56300Pakistan Departmet of Computer Science MLC LabOkara56300Pakistan Department of CS&SE International Islamic UniversityIslamabad44000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Software Engineering Superior UniversityLahore54000Pakistan Department of Computer Science Bahria UniversityLahore CampusLahore54600Pakistan

Today’s forensic science introduces a new research area for digital image analysis formultimedia ***,Image authentication issues have been raised due to the wide use of image manipulation software to obtain an illegitimate benefit or createmisleading publicity by using tempered *** forgery detectionmethods can classify only one of the most widely used Copy-Move and splicing ***,an image can contain one or more types of *** study has proposed a hybridmethod for classifying Copy-Move and splicing images using texture information of images in the spatial ***,images are divided into equal blocks to get scale-invariant *** law has been used for getting texture features,and finally,XGBOOST is used to classify both Copy-Move and splicing *** proposed method classified three types of forgeries,i.e.,splicing,Copy-Move,and ***(CASIA 2.0,MICCF200)and RCMFD datasets are used for training and *** average,the proposed method achieved 97.3% accuracy on benchmarked datasets and 98.3% on RCMFD datasets by applying 10-fold cross-validation,which is far better than existing methods.

关键词： Copy-Move and splicing non-overlapping block division texture features weber law spatial domain xgboost

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A Review on the Recent Trends of Image Steganography for VANET Applications

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Computers, Materials & Continua 2024年第3期78卷 2865-2892页

作者： Arshiya S.Ansari Department of Information Technology College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

Image steganography is a technique of concealing confidential information within an image without dramatically changing its outside *** vehicular ad hoc networks(VANETs),which enable vehicles to communicate with one another and with roadside infrastructure to enhance safety and traffic flow provide a range of value-added services,as they are an essential component of modern smart transportation *** steganography has been suggested by many authors for secure,reliable message transfer between terminal/hope to terminal/hope and also to secure it from attack for privacy *** paper aims to determine whether using steganography is possible to improve data security and secrecy in VANET applications and to analyze effective steganography techniques for incorporating data into images while minimizing visual quality *** to simulations in literature and real-world studies,Image steganography proved to be an effectivemethod for secure communication on VANETs,even in difficult network *** this research,we also explore a variety of steganography approaches for vehicular ad-hoc network transportation systems like vector embedding,statistics,spatial domain(SD),transform domain(TD),distortion,masking,and *** study possibly shall help researchers to improve vehicle networks’ability to communicate securely and lay the door for innovative steganography methods.

关键词： Steganography image steganography image steganography techniques information exchange data embedding and extracting vehicular ad hoc network(VANET) transportation system

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FOXP3 protects conventional human T cells from premature restimulation-induced cell death

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Cellular & Molecular Immunology 2021年第1期18卷 194-205页

作者： Kelsey Voss Camille Lake Christopher R.Luthers Nathaniel M.Lott Batsukh Dorjbal Swadhinya Arjunaraja Bradly M.Bauman Anthony R.Soltis Gauthaman Sukumar Clifton LDalgard Andrew L.Snow Department of Pharmacology&Molecular Therapeutics Uniformed Services University of the Health SciencesBethesdaMD 20817USA The American Genome Center(TAGC) Collaborative Health Initiative Research ProgramUniformed Services University of the Health SciencesBethesdaMDUSA Department of Anatomy Physiology&GeneticsUniformed Services University of the Health SciencesBethesdaMDUSA

The adaptive immune response relies on specific apoptotic programs to maintain *** effector T cell(Tcon)expansion is constrained by both forkhead box P3(FOXP3)^(+)-regulatory T cells(Tregs)and restimulation-induced cell death(RICD),a proprlocidal apoptosis pathway triggered by repeated stimulation through the T-cell receptor(TCR).Constitutive FOXP3 expression protects Tregs from RICD by suppressing SLAM-associated protein(SAP),a key adaptor protein that amplifies TCR signaling *** role of transient FOXP3 induction in activated human CD4 and CD8 Tcons remains unresolved,but its expression is inversely correlated with acquired RICD ***,we describe a novel role for FOXP3 In protecting human Tcons from premature RICD during *** FOXP3-mediated protection from RICD in Tregs,FOXP3 protects Tcons through a distinct mechanism requiring de novo transcription that does not require SAP *** profiling and functional analyses of expanding Tcons revealed that FOXP3 enhances expression of the SLAM family receptor CD48,which in turn sustains basal autophagy and suppresses pro-apoptotic p53 *** CD48 and FOXP3 expression reduced p53 accumulation upon TCR ***,silencing FOXP3 expression or blocking CD48 decreased the mitochondrial membrane potential in expanding Tcons with a concomitant reduction in basal *** findings suggest that FOXP3 governs a distinct transcriptional program in early-stage effector Tcons that maintains RICD resistance via CD48-dependent protective autophagy and p53 suppression.

关键词： conventional T cells RICD FOXP3 autophagy CD48

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Hybrid Approach for Cost Efficient Application Placement in Fog-Cloud Computing Environments

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Computers, Materials & Continua 2024年第6期79卷 4127-4148页

作者： Abdulelah Alwabel Chinmaya Kumar Swain Department of Computer sciences College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Science and Engineering Institute of Management and Information TechnologyCuttackBPUTOdishaIndia

Fog computing has recently developed as a new paradigm with the aim of addressing time-sensitive applications better than with cloud computing by placing and processing tasks in close proximity to the data ***,the majority of the fog nodes in this environment are geographically scattered with resources that are limited in terms of capabilities compared to cloud nodes,thus making the application placement problem more complex than that in cloud *** approach for cost-efficient application placement in fog-cloud computing environments that combines the benefits of both fog and cloud computing to optimize the placement of applications and services while minimizing *** approach is particularly relevant in scenarios where latency,resource constraints,and cost considerations are crucial factors for the deployment of *** this study,we propose a hybrid approach that combines a genetic algorithm(GA)with the Flamingo Search Algorithm(FSA)to place application modules while minimizing *** consider four cost-types for application deployment:Computation,communication,energy consumption,and *** proposed hybrid approach is called GA-FSA and is designed to place the application modules considering the deadline of the application and deploy them appropriately to fog or cloud nodes to curtail the overall cost of the *** extensive simulation is conducted to assess the performance of the proposed approach compared to other state-of-the-art *** results demonstrate that GA-FSA approach is superior to the other approaches with respect to task guarantee ratio(TGR)and total cost.

关键词： Placement mechanism application module placement fog computing cloud computing genetic algorithm flamingo search algorithm

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