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IoT Task Offloading in Edge Computing Using Non-Cooperative Game Theory for Healthcare Systems

Computer Modeling in Engineering & Sciences 2024年第5期139卷 1487-1503页

作者： Dinesh Mavaluru Chettupally Anil Carie Ahmed I.Alutaibi Satish Anamalamudi Bayapa Reddy Narapureddy Murali Krishna Enduri md Ezaz Ahmed School of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Computer Engineering SRM University APGunturIndia College of Computer and Information Sciences Majmaah UniversityAl Majma’ahSaudi Arabia Department of Public Health College of Applied Medical SciencesKing Khalid UniversityAbhaSaudi Arabia

In this paper,we present a comprehensive system model for Industrial Internet of Things(IIoT)networks empowered by Non-Orthogonal Multiple Access(NOMA)and Mobile Edge Computing(MEC)*** network comprises essential components such as base stations,edge servers,and numerous IIoT devices characterized by limited energy and computing *** central challenge addressed is the optimization of resource allocation and task distribution while adhering to stringent queueing delay constraints and minimizing overall energy *** system operates in discrete time slots and employs a quasi-static approach,with a specific focus on the complexities of task partitioning and the management of constrained resources within the IIoT *** study makes valuable contributions to the field by enhancing the understanding of resourceefficient management and task allocation,particularly relevant in real-time industrial *** results indicate that our proposed algorithmsignificantly outperforms existing approaches,reducing queue backlog by 45.32% and 17.25% compared to SMRA and ACRA while achieving a 27.31% and 74.12% improvement in Qn ***,the algorithmeffectively balances complexity and network performance,as demonstratedwhen reducing the number of devices in each group(Ng)from 200 to 50,resulting in a 97.21% reduction in complexity with only a 7.35% increase in energy *** research offers a practical solution for optimizing IIoT networks in real-time industrial settings.

关键词： Internet of Things edge computing offloading NOMA

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Simulation and Modelling of Water Injection for Reservoir Pressure Maintenance

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Computers, Materials & Continua 2022年第9期72卷 5761-5776页

作者： Rishi Dewan Adarsh Kumar Mohammad khalid Imam Rahmani Surbhi Bhatia md Ezaz Ahmed Department of Physics University of Petroleum&Energy StudiesDehradun 248007UttarakhandIndia Department of Computer Science University of Petroleum&Energy StudiesDehradun 248007UttarakhandIndia College of Computing and Informatics Saudi Electronic UniversityRiyadh 11673Saudi Arabia Department of Information Systems College of Computer Science and Information TechnologyKing Faisal UniversityAl Hasa 36362Saudi Arabia

Water injection has shown to be one of the most successful,efficient,and cost-effective reservoir management *** re-injecting treated and filtered water into reservoirs,this approach can help maintain reservoir pressure,increase hydrocarbon output,and reduce the environmental *** goal of this project is to create a water injection model utilizing Eclipse reservoir simulation software to better understand water injection methods for reservoir pressure maintenance.A basic reservoir model is utilized in this *** simulation designs,the reservoir length,breadth,and thickness may be changed to different *** water-oil contact was discovered at 7000 feet,and the reservoir pressure was recorded at 3000 pounds per square inch at a depth of 6900 *** aquifer chosen was of the Fetkovich type and was linked to the reservoir in the j+*** porosity was estimated to be varied,ranging from 9%to 16%.The residual oil saturation was set to 25%and the irreducible water saturation was set at 20%.The vertical permeability was set at 50 md as a *** Volume Temperature(PVT)data was used to estimate the gas and water characteristics.

关键词： Eclipse water injection reservoir modeling simulation oil saturation

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Assessment of ecological risk for heavy metals in surface sediment of an urban river in a developing country

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International Journal of Sediment Research 2023年第6期38卷 834-846页

作者： md Saiful Islam md Humayun Kabir Mir Mohammad Ali md Towhidul Islam Asfia Niger md Humayun Kabir Zulhilmi Ismail Sujat Ahmed khalid A.Ibrahim Abubakr M.Idris Department of Soil Science Patuakhali Science and Technology University Department of Environmental Science and Resource Management Mawlana Bhashani Science and Technology University Department of Aquaculture Sher-e-Bangla Agricultural University Department of Soil Science Bangabandhu Sheikh Mujibur Rahman Agricultural University Centre for River and Coastal Engineering(CRCE) Universiti Teknologi Malaysia(UTM) Department of Water & Environmental Engineering Faculty of Civil EngineeringUniversiti Teknologi Malaysia(UTM) Environment Center for People & Environ(CPE) Department of Biology College of ScienceKing Khalid University Center for Environment and Tourism Studies and Research King Khalid University Department of Chemistry College of ScienceKing Khalid University Research Center for Advanced Materials Science(RCAMS) King Khalid University

The speed of increasing threats to the riverine water resources makes it more critical to protect the health of Old Brahmaputra River *** current study was done to investigate the concentrations,distributions,sources,and ecological risk of heavy metals in surface sediment from the Old Brahmaputra River,*** were collected from seven sites and analyzed with an inductively coupled plasma-mass spectrometer(ICP-MS).The results showed that mean concentrations(mg/kg) of heavy metals were in the order of nickel(Ni)(44.69)> chromium(Cr)(30.16)> lead(Pb)(19.31)>copper(Cu)(17.84)> cadmium(Cd)(3.94)> arsenic(As)(2.73).The contamination factor(CF),pollution load index(PLI),enrichment factor(EF),and geo-accumulation index(Igeo) indicated low to moderate *** unit analysis revealed that the studied metals from all stations posed low *** sediment of the study river was uncontaminated to moderately contaminated,posing a minimal ecological ***,Cr,Ni,and Pb originated from anthropogenic sources rather than geogenic sources,and caused the severity of *** this regard,pollutant-based intensive monitoring of heavy metals and holistic ecological risk assessments are required to maintain a sound and healthy aquatic environment in the river.

关键词： Heavy metals Sediment quality Ecological risk Old Brahmaputra river Source identification

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Automatic Real-Time Medical Mask Detection Using Deep Learning to Fight COVID-19

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Computer Systems Science & Engineering 2022年第9期42卷 1181-1198页

作者： Mohammad khalid Imam Rahmani Fahmina Taranum Reshma Nikhat md.Rashid Farooqi Mohammed Arshad Khan College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Computer Science and Engineering Department Muffakham Jah College of Engineering and TechnologyOsmania UniversityHyderabadTelanganaIndia Department of Commerce and Business Management Maulana Azad National Urdu UniversityHyderabadTelanganaIndia Department of Accountancy College of Administrative and Financial SciencesSaudi Electronic UniversityRiyadSaudi Arabia

The COVID-19 pandemic is a virus that has disastrous effects onhuman lives globally;still spreading like wildfire causing huge losses to humanityand economies. There is a need to follow few constraints like social distancingnorms, personal hygiene, and masking up to effectively control the virus *** proposal is to detect the face frame and confirm the faces are properly covered with masks. By applying the concepts of Deep learning, the results obtainedfor mask detection are found to be effective. The system is trained using4500 images to accurately judge and justify its accuracy. The aim is to developan algorithm to automatically detect a mask, but the approach does not facilitatethe percentage of improper usage. Accuracy levels are as low as 50% if the maskis improperly covered and an alert is raised for improper placement. It can be usedat traffic places and social gatherings for the prevention of virus transmission. Itworks by first locating the region of interest by creating a frame boundary, thenfacial points are picked up to detect and concentrate on specific features. Thetraining on the input images is performed using different epochs until the artificialface mask detection dataset is created. The system is implemented using TensorFlow with OpenCV and Python using a Jupyter Notebook simulation environment. The training dataset used is collected from a set of diverse open-sourcedatasets with filtered images available at Kaggle Medical Mask Dataset by Mikolaj Witkowski, Kera, and Prajna Bhandary. To simulate MobilNetV2 classifier isused to load and pre-process the image dataset for building a fully connectedhead. The objective is to assess the accuracy of the identification, measuringthe efficiency and effectiveness of algorithms for precision, recall, and F1 score.

关键词： COVID-19 pandemic convolution neural network deep learning face detection facemask detection global health machine learning

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Nigella sativa oil alleviates doxorubicin-induced cardiomyopathy and neurobehavioral changes in mice:In vivo and in-silico study

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Asian Pacific Journal of Tropical Biomedicine 2022年第7期12卷 312-322页

作者： md Jamir Anwar Sattam Khulaif Alenezi Faizul Azam Danish Mahmood Faisal Imam khalid Saad Alharbi Department of Pharmacology and Toxicology Unaizah College of PharmacyQassim UniversityAl-QassimSaudi Arabia Department of Pharmaceutical Chemistry&Pharmacognosy Unaizah College of PharmacyQassim UniversityAl-QassimSaudi Arabia Department of Pharmacology and Toxicology College of PharmacyKing Saud UniversityRiyadhSaudi Arabia Department of Pharmacology College of PharmacyJouf UniversitySakakahSaudi Arabia

Objective:To investigate the effect of Nigella sativa oil on cardiomyopathy and neurobehavioral changes induced by doxorubicin in ***:Swiss strain of albino female mice were divided into 6 groups of 5 animals in each:GroupⅠ(control group),groupⅡ(doxorubicin,10 mg/kg,i.v.),groupⅢ,Ⅳ,andⅤ(Nigella sativa oil;1.5,3,and 6 mL/kg,respectively),groupⅥ(Nigella sativa oil per se;6 mL/kg,p.o.).The duration of treatment was 15 d(10 days’pre-treatment and 5 days’post-treatment)and doxorubicin was administered on day 11th of the treatment *** Nigella sativa oil treatment,neurobehavioral tests,cardiac hypertrophy tests,and biochemical tests in serum and tissues were *** tests included assessment of anxiety-like behavior in the elevated plus maze,spontaneous alternation behavior in the cross maze,and depression-like behavior in modified forced swim *** tests included serum lactate dehydrogenase and creatinine kinase-MB,malondialdehyde and reduced glutathione in ***,molecular docking was used to estimate the affinity of the phytoconstituents of Nigella sativa oil with histone ***:Nigella sativa oil treatment significantly(P<0.001)restored doxorubicin-induced neurobehavioral changes,decreased lactate dehydrogenase and creatinine kinase-MB in the plasma,malondialdehyde contents in tissues,and increased reduced glutathione ***,no significant alteration was observed in Nigella sativa oil per se group as compared to the *** docking showed that Nigella sativa oil components had appreciable binding affinitiy with the protein cavities of HDAC1 and ***:The result shows that Nigella sativa oil exerts anxiolytic,antidepressant,and memory-enhancing effects in addition to cardioprotective effect against doxorubicin-induced cardiomyopathy in *** modulatory effect of Nigella sativa oil on oxidative stress could contribute to the cardioprotective effect and associated neuro

关键词： Nigella sativa oil Doxorubicin Cardiomyopathy Neurobehavioral changes Lactate dehydrogenase Creatinine kinase-MB Malondialdehyde Reduced glutathione Mice HDAC docking

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Measurement and correlation of solubility of diosmin in four pure solvents and β-cyclodextrin solution at 298.15K to 333.15K

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Chinese Journal of Chemical Engineering 2015年第5期23卷 812-815页

作者： md khalid Anwer Faiyaz Shakeel Department of Pharmaceutics College of Pharmacy Salman Bin Abdulaziz University Center of Excellence in Biotechnology Research King Saud University Department of Pharmaceutics College of Pharmacy King Saud University

The aim of present study was to measure and correlate the solubility of poorly water-soluble flavonoid diosmin in water, ethanol, isopropyl alcohol(IPA), polyethylene glycol-400(PEG-400) and β-cyclodextrin(β-CD) aqueous solution(0.02 mol·L-1). The solubility of diosmin was measured using the shake flask method from(298.15 to333.15) K at atmospheric pressure. The experimental solubilities of diosmin were regressed by the modified Apelblat model with a relative deviation in the range of 0.048% to 5.940%. The correlation coefficients were observed in the range of 0.9957 to 0.9995. The solubility of diosmin was found to be increased with temperature in all sample matrices investigated. The mole fraction solubility of diosmin was found to be higher in β-CD aqueous solution and PEG-400 as compared to water, ethanol and IPA. Based on solubility data of present study, diosmin was considered as practically insoluble in water, insoluble in ethanol & IPA and soluble in PEG-400 and β-CD aqueous solution.

关键词：溶解度数据水溶液环糊精测量 PEG-400 聚乙二醇-400 溶剂摩尔分数

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Global geoepidemiology of gastrointestinal surgery rates in Crohn’s disease

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World Journal of Gastrointestinal Surgery 2024年第6期16卷 1835-1844页

作者： Simcha Weissman Muhammad Aziz Ayrton Bangolo Vignesh K Nagesh Htat Aung Midhun Mathew Lino Garcia Shiva A Chandar Praveena Karamthoti Harinder Bawa Aseel Alshimari Yabets Kejela Nazish Mehdi Chrishanti A Joseph Athri Kodali Rohan Kumar Priya Goyal Sanya Satheesha Fnu Nivedita Nicole Tesoro Tanni Sethi Gurpreet Singh Areej Belal Alina Intisar Hirra khalid Samuel Cornwell Suchith B Suresh Kareem Ahmed Karabo K Marole Om P Anand Rahat B Reshi Tej I Mehta Sameh Elias Joseph D Feuerstein Department of Medicine Hackensack Meridian Health Palisades Medical CenterNorth BergenNJ 07047United States Division of Gastroenterology and Hepatology University of Toledo Medical CenterToledoOH 43614United States Department of Medicine University of WashingtonSeattleWA 98195United States Department of Radiology Johns Hopkins University HospitalBaltimoreMD 21218United States Division of Gastroenterology Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMA 02215United States

BACKGROUND Data regarding the worldwide gastrointestinal surgery rates in patients with Crohn’s disease(CD)remains *** To systematically review the global variation in the rates of surgery in *** A comprehensive search analysis was performed using multiple electronic databases from inception through July 1,2020,to identify all full text,randomized controlled trials and cohort studies pertaining to gastrointestinal surgery rates in adult patients with *** included continent based demographic data,CD surgery rates over time,as well as the geoepidemiologic variation in CD surgery *** analyses were conducted using *** Twenty-three studies spanning four continents were *** median proportion of persons with CD who underwent gastrointestinal surgery in studies from North America,Europe,Asia,and Oceania were 30%(range:1.7%-62.0%),40%(range:0.6%-74.0%),17%(range:16.0%-43.0%),and 38%*** clear association was found regarding the proportion of patients undergoing gastrointestinal surgery over time in North America(R^(2)=0.035)and Europe(R^(2)=0.100).A moderate,negative association was seen regarding the proportion of patients undergoing gastrointestinal surgery over time(R^(2)=0.520)in *** There appears to be significant inter-continental variation regarding surgery rates in *** evidencebased guidelines accounting for the geographic differences in managing patients with CD is ***,as a paucity of data on surgery rates in CD exists outside the North American and European continents,future studies,particularly in less studied locales,are warranted.

关键词： Gastrointestinal surgery Crohn’s disease Geoepidemiology Inflammatory bowel disease Prevalence

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Zinc enhances the cell adhesion,migration,and self-renewal potential of human umbilical cord derived mesenchymal stem cells

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World Journal of Stem Cells 2023年第7期15卷 751-767页

作者： Iqra Sahibdad Shumaila khalid G Rasul Chaudhry Asmat Salim Sumreen Begum Irfan Khan Dr.Panjwani Center for Molecular Medicine and Drug Research International Center for Chemical and Biological SciencesUniversity of KarachiKarachi 75270SindhPakistan Department of Biological Sciences Oakland UniversityRochesterMI 48309United States Stem Cell Research Laboratory(SCRL) Sindh Institute of Urology and Transplantation(SIUT)Karachi 74200SindhPakistan

BACKGROUND Zinc(Zn)is the second most abundant trace element after Fe,present in the human *** is frequently reported in association with cell growth and proliferation,and its deficiency is considered to be a major disease contributing *** To determine the effect of Zn on in vitro growth and proliferation of human umbilical cord(hUC)-derived mesenchymal stem cells(MSCs).METHODS hUC-MSCs were isolated from human umbilical cord tissue and characterized based on immunocytochemistry,immunophenotyping,and tri-lineage *** impact of Zn on cytotoxicity and proliferation was determined by MTT and Alamar blue *** determine the effect of Zn on population doubling time(PDT),hUC-MSCs were cultured in media with and without Zn for several *** in vitro scratch assay was performed to analyze the effect of Zn on the wound healing and migration capability of hUC-MSCs.A cell adhesion assay was used to test the surface adhesiveness of *** analysis of genes involved in the cell cycle,proliferation,migration,and selfrenewal of hUC-MSCs was performed by quantitative real-time polymerase chain *** protein expression of Lin28,a pluripotency marker,was analyzed by *** Zn at lower concentrations enhanced the rate of proliferation but at higher concentrations(>100μM),showed concentration dependent cytotoxicity in ***-MSCs treated with Zn exhibited a significantly greater healing and migration rate compared to untreated *** also increased the cell adhesion rate,and colony forming efficiency(CFE).In addition,Zn upregulated the expression of genes involved in the cell cycle(CDC20,CDK1,CCNA2,CDCA2),proliferation(transforming growth factorβ1,GDF5,hypoxia-inducible factor 1α),migration(CXCR4,VCAM1,VEGF-A),and self-renewal(OCT4,SOX2,NANOG)of *** of Lin28 protein was significantly increased in cells treated with *** Our findings suggest that zinc enhances the proliferat

关键词： Human umbilical cord Mesenchymal stem cells Zinc Cell proliferation In vitro expansion

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Drought Tolerance in Mung Bean is Associated with the Genotypic Divergence, Regulation of Proline, Photosynthetic Pigment and Water Relation

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Phyton-International Journal of Experimental Botany 2023年第3期92卷 955-981页

作者： Mohammad Rafiqul Islam Mohd Mostofa Kamal Mohammad Faruk Hossain Jamil Hossain Mohammad Golam Azam Mst Masuma Akhter MKamrul Hasan Ibrahim Al-Ashkar khalid FAlmutairi Ayman EL Sabagh md Atikur Rahman Muhammad Aamir Iqbal Mohammad Sohidul Islam Agronomy Division Regional Agricultural Research StationBangladesh Agricultural Research Institute(BARI)Pabna6600Bangladesh Chief Research Scientist New Edge MicrobialsLtd.Albury2641Australia Horticulture Research Centre Regional Agricultural Research StationBangladesh Agricultural Research Institute(BARI)Pabna6600Bangladesh Pulses Research Centre BARIPabna6600Bangladesh Agronomy Division Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh Department of Agronomy Hajee Mohammad Danesh Science and Technology UniversityDinajpur5200Bangladesh Department of Plant Production College of Food and AgricultureKing Saud UniversityRiyadh11451Saudi Arabia Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikh33156Egypt Grassland and Forage Division National Institute of Animal ScienceRural Development AdministrationCheonan31000Korea Department of Agronomy Faculty of AgricultureUniversity of Poonch RawalakotRawalakot12350Pakistan Department of Genetics and Plant Breeding Faculty of AgricultureBangladesh Agricultural UniversityMymensingh2202Bangladesh

Drought is one of the critical conditions for the growth and productivity of many crops including mung bean(Vigna radiata ***).Screening of genotypes for variations is one of the suitable strategies for evaluating crop adaptability and global food *** this context,the study investigated the physiological and biochemical responses of four drought tolerant(BARI Mung-8,BMX-08010-2,BMX-010015,BMX-08009-7),and four drought sensitive(BARI Mung-1,BARI Mung-3,BU Mung-4,BMX-05001)mung bean genotypes under wellwatered(WW)and water deficit(WD)*** WW treatment maintained sufficient soil moisture(22%±0.5%,i.e.,30%deficit of available water)by regularly supplying ***,the WD treatment was maintained throughout the growing period,and water was applied when the wilting symptom *** drought tolerant(DT)genotypes BARI Mung-8,BMX-08010-2,BMX-010015,BMX-08009-7 showed a high level of proline accumulation(2.52–5.99 mg g^(−1) FW),photosynthetic pigment(total chlorophyll 2.96–3.27 mg g^(−1) FW at flowering stage,and 1.62–2.38 mg g^(−1) FW at pod developing stage),plant water relation attributes including relative water content(RWC)(82%–84%),water retention capacity(WRC)(12–14)as well as lower water saturation deficit(WSD)(19%–23%),and water uptake capacity(WUC)(2.58–2.89)under WD condition,which provided consequently higher relative seed *** indicate that the tolerant genotypes gained better physiobiochemical attributes and adaptability in response to drought ***,the genotype BMX-08010-2 showed superiority in terms of those physio-biochemical traits,susceptibility index(SSI)and stress tolerance index(STI)to other *** on the physiological and biochemical responses,the BMX-08010-2 was found to be a suitable genotype for sustaining yield under drought stress,and subsequently,it could be recommended for crop improvement through hybridization *** addition,the identified traits can be used as markers to ide

关键词： Mung bean drought proline chlorophyll water status stress tolerance

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Machine Learning-Enabled Power Scheduling in IoT-Based Smart Cities

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Computers, Materials & Continua 2021年第5期67卷 2449-2462页

作者： Nabeela Awan Salman Khan Mohammad khalid Imam Rahmani Muhammad Tahir Nur Alam md Ryan Alturki Ihsan Ullah Department of Computer Science Government Girls Degree College MardanKPK23200Pakistan Department of Electrical Energy System UETPeshawar25000Pakistan Department of Computer Science College of Computing and InformaticsSaudi Electronic UniversityKSA Department of Smart Computing Kyungdong UniversityGlobal CampusGosung24764South Korea Department of Information Sciences College of Computer and Information SystemsUmm Al-Qura UniversityMakkahSaudi Arabia Robotics Engineering Daegu Gyeongbuk Institute of Science and TechnologySouth Korea

Recent advancements in hardware and communication technologies have enabled worldwide interconnection using the internet of things(IoT).The IoT is the backbone of smart city applications such as smart grids and green energy *** smart cities,the IoT devices are used for linking power,price,energy,and demand information for smart homes and home energy management(HEM)in the smart *** complex smart gridconnected systems,power scheduling and secure dispatch of information are the main research *** challenges can be resolved through various machine learning techniques and data *** this paper,we have proposed a particle swarm optimization based machine learning algorithm known as a collaborative execute-before-after dependency-based requirement,for the smart *** proposed collaborative execute-before-after dependencybased requirement algorithm works in two phases,analysis and assessment of the requirements of end-users and power distribution *** the rst phases,a xed load is adjusted over a period of 24 h,and in the second phase,a randomly produced population load for 90 days is evaluated using particle swarm *** simulation results demonstrate that the proposed algorithm performed better in terms of percentage cost reduction,peak to average ratio,and power variance mean ratio than particle swarm optimization and inclined block rate.

关键词： PSO IBR machine learning IoT smart cities CDBR

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