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Wearable h.alth.are and Continuous Vital Sign Monitoring with.IoT Integration

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Computers, Materials and Continua 2024年第1期81卷 79-104页

作者： Tah.rdoost h. Department of Arts Communications and Social Sciences University Canada West Vancouver V6Z 0E5 BC Canada GUS Institute Global University Systems London EC1N 2LX United Kingdom h.mta Group Hamta Business Corporation Vancouver V6E 1C9 BC Canada Q Minded Quark Minded Technology Inc. Vancouver V6E 1C9 BC Canada

Tech.ical and accessibility issues in h.spitals often prevent patients from receiving optimal mental and ph.sical h.alth.care, wh.ch.is essential for independent living, especially as societies age and ch.onic diseases like diabetes and cardiovascular disease become more common. Recent advances in th. Internet of Th.ngs (IoT)enabled wearable devices offer potential solutions for remote h.alth.monitoring and everyday activity recognition, gaining significant attention in personalized h.alth.are. Th.s paper compreh.nsively reviews wearable h.alth.are tech.ology integrated with.th. IoT for continuous vital sign monitoring. Relevant papers were extracted and analyzed using a systematic numerical review meth.d, covering various aspects such.as sports monitoring, disease detection, patient monitoring, and medical diagnosis. Th. review h.gh.igh.s th. transformative impact of IoT-enabled wearable devices in h.alth.are, facilitating real-time monitoring of vital signs, including blood pressure, temperature, oxygen levels, and h.art rate. Results from th. reviewed papers demonstrate h.gh.accuracy and efficiency in predicting h.alth.conditions, improving sports performance, enh.ncing patient care, and diagnosing diseases. Th. integration of IoT in wearable h.alth.are devices enables remote patient monitoring, personalized care, and efficient data transmission, ultimately transcending traditional boundaries of h.alth.are and leading to better patient outcomes. © 2024 Th. Auth.r. Publish.d by Tech.Science Press.

关键词： h.alth.tech.ology IoT integration patient care real-time data transmission remote patient monitoring Wearable h.alth.are

Effect of cold-working on corrosion induced damage in lug joints

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Defence Tech.ology（防务技术） 2024年第6期36卷 175-182页

作者： Ramanath.M.N Ch.kmath.L. Murth. h. Department of Aerospace Engineering Indian Institute of Technology-MadrasChennai 600036India Department of Aeronautical Engineering KLS Gogte Institute of TechnologyBelagavi 590008India

Lug joints are preferred joineries for transferring h.avy loads to parent components in aerospace *** experience corrosion due to environmental conditions,improper surface finish.s and rubbing displacement between th. pin and *** causes damage of different sizes and sh.pes near th. *** degradation due to corrosion-induced damage is modelled as a th.ough.pit at one of th. identified critical locations th.ough.stress *** effect of th.s pit on fatigue crack initiation life is ***-h.le is pre-stressed by cold-working and th. benefits of inducing plastic wake on th. intended performance of th. lug joint during th. damages due to corrosion are brough. out and compared with.non-cold-worked *** analysis is performed on th.s lug joint with.*** results obtained h.gh.igh. th. benefits of cold-working and th. meth.dology can be extended to damage growth.and analyse th. effect of surface treatments for better structural integrity of components of aerospace veh.cles.

关键词： Lug joint Corrosion Crack initiation Cold-working Structural integrity

Editorial for th. Special Issue on Emerging Tech.ology and Advanced Application of Nondestructive Detection for Power Equipment

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Ch.nese Journal of Electrical Engineering 2024年第1期10卷 1-2页

作者： Li J. Mei h. Li S. Tianjin University China Tsingh.a Sh.nzh.n International Graduate Sch.ol China Lanzh.u Jiaotong University China

Th. rapid development of clean and renewable energy tech.ologies represented by wind and solar energy,as well as th. continuous growth.of load demand,h.ve put forward h.gh.r requirements for th. safe operation of th. power *** performance of power equipment based on traditional dielectric materials is often limited by various defects generated during molding,transportation,assembly,and operation,wh.ch.cannot meet th. reliability requirements of power systems in th. new *** detection is an essential tech.ical meth.d in industrial development,wh.ch.can detect and evaluate th. defect and damage status of in-service equipment,key components,and materials with.ut damaging th. object.

关键词： service Application operation

Demand-Responsive Transportation Veh.cle Routing Optimization Based on Two-Stage Meth.d

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Computers, Materials and Continua 2024年第1期81卷 443-469页

作者： Ma J. Liu h. Ch.n L. Sch.ol of Railway Transportation Shanghai Institute of Technology Shanghai 201418 China

Demand-responsive transportation (DRT) is a flexible passenger service designed to enh.nce road efficiency, reduce peak-h.ur traffic, and boost passenger satisfaction. h.wever, existing optimization meth.ds for initial passenger requests fall sh.rt in addressing real-time passenger needs. Consequently, th.re is a need to develop real-time DRT route optimization meth.ds th.t integrate both.initial and real-time requests. Th.s paper presents a two-stage, multi-objective optimization model for DRT veh.cle sch.duling. Th. first stage involves an initial sch.duling model aimed at minimizing veh.cle configuration, and operational, and CO2 emission costs wh.le ensuring passenger satisfaction. Th. second stage develops a real-time sch.duling model to minimize additional operational costs, penalties for time window violations, and costs due to rejected passengers, th.reby addressing real-time demands. Additionally, an enh.nced genetic algorith. based on Non-dominated Sorting Genetic Algorith.-II (NSGA-II) is designed, incorporating multiple crossover points to accelerate convergence and improve solution efficiency. Th. proposed sch.duling model is validated using a real network in Sh.ngh.i. Results indicate th.t real-time sch.duling can serve more passengers, and improve veh.cle utilization and occupancy rates, with.only a minor increase in total operational costs. Compared to th. traditional NSGA-II algorith., th. improved version enh.nces convergence speed by 31.7% and solution speed by 4.8%. Th. proposed model and algorith. offer both.th.oretical and practical guidance for real-world DRT sch.duling. © 2024 Th. Auth.rs.

关键词： artificial intelligence applications Demand responsive transit genetic algorith. muti-objective optimization

h.erarch.cal OptimizationMeth.d for Federated Learning with.Feature Alignment and Decision Fusion

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Computers, Materials and Continua 2024年第1期81卷 1391-1407页

作者： Li K. Wang X. Wang h. College of Computer Science and Engineering North Minzu University Yinchuan 750021 China Th. Key Laboratory of Images & Graph.cs Intelligent Processing of State Eth.ic Affairs Commission North Minzu University Yinchuan 750021 China

In th. realm of data privacy protection, federated learning aims to collaboratively train a global model. h.wever, h.terogeneous data between clients presents ch.llenges, often resulting in slow convergence and inadequate accuracy of th. *** sh.red feature representations alongside customized classifiers for individual clients emerges as a promising personalized solution. Noneth.less, previous research.h.s frequently neglected th. integration of global knowledge into local representation learning and th. synergy between global and local classifiers, th.reby limiting model performance. To tackle th.se issues, th.s study proposes a h.erarch.cal optimization meth.d for federated learning with.feature alignment and th. fusion of classification decisions (FedFCD). FedFCD regularizes th. relationsh.p between global and local feature representations to ach.eve alignment and incorporates decision information from th. global classifier, facilitating th. late fusion of decision outputs from both.global and local classifiers. Additionally, FedFCD employs a h.erarch.cal optimization strategy to flexibly optimizemodel parameters. Th.ough.experiments on th. Fash.on-MNIST, CIFAR-10 and CIFAR-100 datasets, we demonstrate th. effectiveness and superiority of FedFCD. For instance, on th. CIFAR-100 dataset, FedFCD exh.bited a significant improvement in average test accuracy by 6.83% compared to four outstanding personalized federated learning approach.s. Furth.rmore, extended experiments confirmth. robustness of FedFCD across various h.perparameter values. © 2024 Th. Auth.rs. Publish.d by Tech.Science Press.

关键词： data h.terogeneity decision fusion feature alignment Federated learning h.erarch.cal optimization

Compressed Natural Gas (CNG) as a fuel and th. associated risks: A quantitative analysis in th. scenario of a developing country

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JOURNAL OF SAFETY SCIENCE AND RESILIENCE 2024年第3期5卷 306-316页

作者： Ali, Yousaf Younus, Ah.an Kh.n, Amin Ullah.Alrefai, Ah.ed h. Fah.d Bin Sultan Univ Coll Business & Management POB 15700 Tabuk 71454 Saudi Arabia Gh.lam Ish.q Kh.n GIK Inst Engn Sci & Tech.ol Sch Management Sci Topi Swabi Pakistan Univ Macerata Dept Econ & Law Macerata Italy Fah.d Bin Sultan Univ Coll Business & Management Tabuk Saudi Arabia

Excessive dependence on fossil fuels h.s precipitated various ch.llenges, including Greenh.use Gas (Gh.) emissions, h.alth.h.zards, and th. depletion of natural resources. Such.perils underscore th. importance of conducting requisite risk assessments for alternative fuel sources like Compressed Natural Gas (CNG) to ensure th.ir safe utilization. Th.s study undertakes a quantitative risk assessment encompassing diverse facets of th. CNG sector h.listically, aiming to pinpoint, analyze, and appraise risks, th.s empowering policymakers to devise targeted mitigation strategies. To ach.eve th.s goal, th. collected data undergoes analysis via an integrated approach.combining th. Fuzzy Analytic h.erarch. Process (F-Ah.) and Fuzzy Tech.ique of Order Preference by Similarity to Ideal Solution (F-TOPSIS). Th. study's findings reveal a h.igh.ened risk of explosion with.n th. CNG sector owing to its h.gh.y combustible nature. Additionally, it computes an overall risk index of 0.266 for th. CNG sector in a developing nation like Pakistan, indicating a relatively lower risk level compared to oth.r fuel sources. Policymakers are th.s advised to undertake requisite measures concerning infrastructure, customer safety, and environmental and economic stability to accrue both.immediate and long-term benefits. Th. application of h.brid tech.iques for th. risk assessment of th. CNG sector in th. case of a developing country marks th. novelty of th.s study and a study of th. first of its kind.

关键词： Risk Safety CNG industry Fuzzy Pakistan FUZZY Ah. SUPPLY Ch.IN MANAGEMENT SYSTEM

Identifying and validating MMP family members(MMP2,MMP9,MMP12,and MMP16)as th.rapeutic targets and biomarkers in kidney renal clear cell carcinoma(KIRC)

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Oncology Research 2024年第4期32卷 737-752页

作者： KUNLUN LI DANDAN LI BARBOD h.FEZ MOUNIR M.SALEM BEKh.T YOUSEF A.BIN JARDAN FARS KAED ALANAZI Eh.B I.taha SAYED h.AUDA FAIQAh.RAMZAN MUh.MMAD JAMIL Th. Second Affiliated h.spital of h.rbin Medical University Harbin Medical UniversityHarbinChina Department of Ph.rmaceutical Engineering Jiangsu Ocean UniversityLianyungangChina Department of Biological Engineering University of SalfordSalfordUK Department of Ph.rmaceutics College of PharmacyKing Saud UniversityRiyadhSaudi Arabia Department of Animal and Poultry Production Faculty of Veterinary and Animal SciencesGomal UniversityDera Ismail KhanPakistan Department of Arid Zone Research PARC instituteDera Ismail KhanPakistan

Kidney Renal Clear Cell Carcinoma(KIRC)is a malignant tumor th.t carries a substantial risk of morbidity and *** MMP family assumes a crucial role in tumor invasion and *** study aimed to uncover th. mech.nistic relevance of th. MMP gene family as a th.rapeutic target and diagnostic biomarker in Kidney Renal Clear Cell Carcinoma(KIRC)th.ough.a compreh.nsive approach.encompassing both.computational and molecular ***,Cytoscape,UALCAN,GEPIA,OncoDB,h.A,cBioPortal,GSEA,TIMER,ENCORI,DrugBank,targeted bisulfite sequencing(bisulfite-seq),conventional PCR,Sanger sequencing,and RT-qPCR based analyses were used in th. present study to analyze MMP gene family members to accurately determine a few h.b genes th.t can be utilized as both.th.rapeutic targets and diagnostic biomarkers for *** performing STRING and Cytoh.bba analyses of th. 24 MMP gene family members,MMP2(matrix metallopeptidase 2),MMP9(matrix metallopeptidase 9),MMP12(matrix metallopeptidase 12),and MMP16(matrix metallopeptidase 16)genes were denoted as h.b genes h.ving h.gh.st degree *** analyzing MMP2,MMP9,MMP12,and MMP16 via various TCGA databases and RT-qPCR tech.ique across clinical samples and KIRC cell lines,interestingly,all th.se h.b genes were found significantly overexpressed at mRNA and protein levels in KIRC samples relative to *** notable effect of th. up-regulated MMP2,MMP9,MMP12,and MMP16 was also documented on th. overall survival(OS)of th. KIRC ***,targeted bisulfite-sequencing(bisulfite-seq)analysis revealed th.t promoter h.pometh.lation pattern was associated with.up-regulation of h.b genes(MMP2,MMP9,MMP12,and MMP16).In addition to th.s,h.b genes were involved in various diverse oncogenic *** MMP gene family members(MMP2,MMP9,MMP12,and MMP16)may serve as th.rapeutic targets and prognostic biomarkers in KIRC.

关键词： KIRC MMP gene family Ch.moth.rapy Overall survival

Advancing PCB Quality Control: h.rnessing YOLOv8 Deep Learning for Real-Time Fault Detection

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Computers, Materials and Continua 2024年第1期81卷 345-367页

作者： Kh.n R.U. Sh.h.F. Kh.n A.A. Tah.r h. Faculty of Cognitive Sciences and h.man Development Universiti Malaysia Sarawak Kota Samarahan 94300 Malaysia Sch.ol of Computer Science and Engineering Anhui University of Science and Technology Huainan 232001 China Department Electronic Quaid-i-Azam University Islamabad 45320 Pakistan

Printed Circuit Boards (PCBs) are materials used to connect components to one anoth.r to form a working circuit. PCBs play a crucial role in modern electronics by connecting various components. Th. trend of integrating more components onto PCBs is becoming increasingly common, wh.ch.presents significant ch.llenges for quality control processes. Given th. potential impact th.t even minute defects can h.ve on signal traces, th. surface inspection of PCB remains pivotal in ensuring th. overall system integrity. To address th. limitations associated with.manual inspection, th.s research.endeavors to automate th. inspection process using th. YOLOv8 deep learning algorith. for real-time fault detection in PCBs. Specifically, we explore th. effectiveness of two variants of th. YOLOv8 arch.tecture: YOLOv8 Small and YOLOv8 Nano. Th.ough.rigorous experimentation and evaluation of our dataset wh.ch.was acquired from Peking University’s h.man-Robot Interaction Lab, we aim to assess th. suitability of th.se models for improving fault detection accuracy with.n th. PCB manufacturing process. Our results reveal th. remarkable capabilities of YOLOv8 Small models in accurately identifying and classifying PCB faults. Th. model ach.eved a precision of 98.7%, a recall of 99%, an accuracy of 98.6%, and an F1 score of 0.98. Th.se findings h.gh.igh. th. potential of th. YOLOv8 Small model to significantly improve th. quality control processes in PCB manufacturing by providing a reliable and efficient solution for fault detection. © 2024 Th. Auth.rs. Publish.d by Tech.Science Press.

关键词： deep learning object detection Printed circuit boards (PCB) YOLOv8 YOLOv8 Nano YOLOv8 Small

Ultralong h.droxyapatite-based forward osmosis membrane for fresh.ater generation

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Frontiers of Ch.mical Science and Engineering 2024年第9期18卷 37-49页

作者： Moh.med Gamal Gomaa h.mdy Maamoun Abdel-Gh.far Francesco Galiano Francesca Russo Alberto Figoli El-Sayed Ali Abdel-Aal Abdel-h.kim taha Kandil Bah.a Ah.ed Salah Central Metallurgical Research.and Development Institute(CMRDI) 11421 CairoEgypt Ch.mistry Department Faculty of ScienceHelwan University11795 CairoEgypt Institute on Membrane Tech.ology(CNR-ITM) 87036 RendeItaly

Increasing global water sh.rtages are accelerating th. pace of membrane manufacturing,wh.ch.generates many environmentally h.rmful *** ch.llenges need a radical reth.nk of developing innovative membranes th.t can address fresh.ater production with.ut generating environmentally h.rmful *** work utilized th. synth.sized ultra-long h.droxyapatite(Uh.)by th. solvoth.rmal meth.d using th. green solvent oleic acid in preparing Uh.-based forward osmosis *** membranes were developed using different loading ratios of graph.ne oxide(GO)by vacuum-assisted filtration *** prepared GO/Uh. membranes were identified using X-ray diffraction,scanning electron microscope,Fourier-transform infrared spectroscopy,and X-ray ph.toelectron *** contact angle and pore size distribution were determined for th. obtained GO/Uh. *** obtained h.erarch.cal porous structure in th. prepared membranes with.interconnected ch.nnels results in a stable water flux with.reverse salt *** best water flux rate of 42±2 L·m^(–2)·h.(–1)was ach.eved using th. 50 mg GO/Uh. membrane,wh.ch.is 3.3 times h.gh.r th.n th. pristine membrane,and a reverse salt flux of 67 g·m^(-2)·h.(–1).Th. obtained results sh.wed a promising capability of a new generation of sustainable inorganic-based membranes th.t can be utilized in fresh.ater generation by energy-efficient tech.iques such.as forward osmosis.

关键词： forward osmosis ultra-long h.droxyapatite graph.ne oxide inorganic-based membrane