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Hyper-Convergence Storage Framework for EcoCloud Correlates

Computers, Materials & Continua 2022年第1期70卷 1573-1584页

作者： Nadia Tabassum Tahir Alyas muhammad hamid muhammad Saleem Saadia Malik Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia

Cloud computing is an emerging domain that is capturing global users from all walks of life—the corporate sector,government sector,and social arena as well.Various cloud providers have offered multiple services and facilities to this audience and the number of providers is increasing very swiftly.This enormous pace is generating the requirement of a comprehensive ecosystem that shall provide a seamless and customized user environment not only to enhance the user experience but also to improve security,availability,accessibility,and latency.Emerging technology is providing robust solutions to many of our problems,the cloud platform is one of them.It is worth mentioning that these solutions are also amplifying the complexity and need of sustenance of these rapid solutions.As with cloud computing,new entrants as cloud service providers,resellers,tech-support,hardware manufacturers,and software developers appear on a daily basis.These actors playing their role in the growth and sustenance of the cloud ecosystem.Our objective is to use convergence for cloud services,software-defined networks,network function virtualization for infrastructure,cognition for pattern development,and knowledge repository.In order to gear up these processes,machine learning to induce intelligence to maintain ecosystem growth,to monitor performance,and to become able to make decisions for the sustenance of the ecosystem.Workloads may be programmed to“superficially”imitate most business applications and create large numbers using lightweight workload generators that merely stress the storage.In today’s current IT environment,when many enterprises use the cloud to service some of their application demands,a different performance testing technique that assesses more than the storage is necessary.Compute and storage are merged into a single building block with HCI(Hyper-converged infrastructure),resulting in a huge pool of compute and storage resources when clustered with other building blocks.The novelty of thiswork to design and test cloud sto

关键词： Virtual cloud software define network network function virtualization hyper-convergence virtualization

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Load Balancing Framework for Cross-Region Tasks in Cloud Computing

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Computers, Materials & Continua 2022年第1期70卷 1479-1490页

作者： Jaleel Nazir muhammad Waseem Iqbal Tahir Alyas muhammad hamid muhammad Saleem Saadia Malik Nadia Tabassum Department of Software Engineering The Superior CollegeLahorePakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Virtual University of PakistanLahore54000Pakistan

Load balancing is a technique for identifying overloaded and underloaded nodes and balancing the load between them.To maximize various performance parameters in cloud computing,researchers suggested various load balancing approaches.To store and access data and services provided by the different service providers through the network over different regions,cloud computing is one of the latest technology systems for both end-users and service providers.The volume of data is increasing due to the pandemic and a significant increase in usage of the internet has also been experienced.Users of the cloud are looking for services that are intelligent,and,can balance the traffic load by service providers,resulting in seamless and uninterrupted services.Different types of algorithms and techniques are available that can manage the load balancing in the cloud services.In this paper,a newly proposed method for load balancing in cloud computing at the database level is introduced.The database cloud services are frequently employed by companies of all sizes,for application development and business process.Load balancing for distributed applications can be used to maintain an efficient task scheduling process that also meets the user requirements and improves resource utilization.Load balancing is the process of distributing the load on various nodes to ensure that no single node is overloaded.To avoid the nodes from being overloaded,the load balancer divides an equal amount of computing time to all nodes.The results of two different scenarios showed the cross-region traffic management and significant growth in revenue of restaurants by using load balancer decisions on application traffic gateways.

关键词： Load balancing performance database region virtualization

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QoS Based Cloud Security Evaluation Using Neuro Fuzzy Model

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Computers, Materials & Continua 2022年第1期70卷 1127-1140页

作者： Nadia Tabassum Tahir Alyas muhammad hamid muhammad Saleem Saadia Malik Syeda Binish Zahra Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer science University of veterinary and animal sciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia

Cloud systems are tools and software for cloud computing that are deployed on the Internet or a cloud computing network,and users can use them at any time.After assessing and choosing cloud providers,however,customers confront the variety and difficulty of quality of service(QoS).To increase customer retention and engagement success rates,it is critical to research and develops an accurate and objective evaluation model.Cloud is the emerging environment for distributed services at various layers.Due to the benefits of this environment,globally cloud is being taken as a standard environment for individuals as well as for the corporate sector as it reduces capital expenditure and provides secure,accessible,and manageable services to all stakeholders but Cloud computing has security challenges,including vulnerability for clients and association acknowledgment,that delay the rapid adoption of computing models.Allocation of resources in the Cloud is difficult because resources provide numerous measures of quality of service.In this paper,the proposed resource allocation approach is based on attribute QoS Scoring that takes into account parameters the reputation of the asset,task completion time,task completion ratio,and resource loading.This article is focused on the cloud service’s security,cloud reliability,and could performance.In this paper,the machine learning algorithm neuro-fuzzy has been used to address the cloud security issues to measure the parameter security and privacy,trust issues.The findings reveal that the ANFIS-dependent parameters are primarily designed to discern anomalies in cloud security and features output normally yields better results and guarantees data consistency and computational power.

关键词： Cloud computing performance quality of service machine learning neuro-fuzzy

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Recognizing Breast Cancer Using Edge-Weighted Texture Features of Histopathology Images

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Computers, Materials & Continua 2023年第10期77卷 1081-1101页

作者： Arslan Akram Javed Rashid Fahima Hajjej Sobia Yaqoob muhammad hamid Asma Arshad Nadeem Sarwar Department of Computer Science and Information Technology Superior UniversityLahore54000Pakistan MLC Lab Maharban HouseHouse#209Zafar ColonyOkara56300Pakistan Information Technology Services University of OkaraOkara56300Pakistan Department of CS&SE International Islamic UniversityIslamabad44000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science University of OkaraOkara56300Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahorePunjab54000Pakistan School of Biochemistry and Biotechnology University of the PunjabLahore54000Pakistan Department of Computer Science Bahria UniversityLahore CampusLahore54600Pakistan

Around one in eight women will be diagnosed with breast cancer at some time.Improved patient outcomes necessitate both early detection and an accurate diagnosis.Histological images are routinely utilized in the process of diagnosing breast cancer.Methods proposed in recent research only focus on classifying breast cancer on specific magnification levels.No study has focused on using a combined dataset with multiple magnification levels to classify breast cancer.A strategy for detecting breast cancer is provided in the context of this investigation.Histopathology image texture data is used with the wavelet transform in this technique.The proposed method comprises converting histopathological images from Red Green Blue(RGB)to Chrominance of Blue and Chrominance of Red(YCBCR),utilizing a wavelet transform to extract texture information,and classifying the images with Extreme Gradient Boosting(XGBOOST).Furthermore,SMOTE has been used for resampling as the dataset has imbalanced samples.The suggested method is evaluated using 10-fold cross-validation and achieves an accuracy of 99.27%on the BreakHis 1.040X dataset,98.95%on the BreakHis 1.0100X dataset,98.92%on the BreakHis 1.0200X dataset,98.78%on the BreakHis 1.0400X dataset,and 98.80%on the combined dataset.The findings of this study imply that improved breast cancer detection rates and patient outcomes can be achieved by combining wavelet transformation with textural signals to detect breast cancer in histopathology images.

关键词： Benign and malignant color conversion wavelet domain texture features xgboost

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Exploration of uniform heat flux on the flow and heat transportation of ferrofluids along a smooth plate： Comparative investigation

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International Journal of Biomathematics 2018年第4期11卷 57-75页

作者： muhammad Usman muhammad hamid Syed Tauseef Mohyud Din Asif Waheed Wei Wang School of Mathematical Sciences Peking University Beijing 100871 P. R. China Department of Mathematics Faculty of Sciences HITEC University Taxila Cantt Pakistan Department of Mathematics COMSATS Institute of Information Technology Attock Pakistan

The paper is devoted to a new extension in Gegenbauer wavelet method (GWM) to investigate the transfer of heat and MHD boundary-layer flow of ferrofluids beside a flat plate with velocity slip. A homogenous model study is conducted in which we assumed the heat transfer and forced convective flow of ferrofluids along a flat plate with a uniform wall heat flux. In the direction of transverse to plate, a magnetic field is imposed. Three various magnetic nanoparticle types including Mn–ZnFe 2 O 4 , CoFe 2 O 4 , Fe 3 O 4 are incorporated inside the base fluid. Two types of base fluids (water and kerosene) with bad thermal conductivity as compared to nanoparticles of solid magnetic have been assumed. The mathematical model is tackled via modified Gegenbauer wavelet method (MGWM). A simulation is accomplished for individual ferrofluid mixture by assuming the prevailing impacts of uniform and slip heat fluxes. The variation of heat transfers and skin friction were also observed at the surface of the plate and we analyzed the better heat transfer for every mixture. Kerosene-based magnetite (Fe 3 O 4 ) delivers the better rate of heat transfer at wall due to its association with the kerosene-based Mn–Zn and cobalt ferrites. The slip velocity and magnetic field effects on the temperature, dimensionless velocity, rate of heat transfer and skin friction are examined for various magnetic nanoparticles inside the kerosene oil and water. We observed that the primary influence of magnetic field reduces the dimensionless surface temperature and accelerates the dimensionless velocity as compared to the hydrodynamic case, thus enhancing the rate of heat transfer and skin friction ferrofluids. Moreover, a detailed evaluation of outcomes obtained by MGWM, already published work and numerical RK-4 were found to be in excellent agreement. The error and convergence analysis are presented. Comparison of results, graphical plots, error and convergence analysis reveal the appropriateness of proposed method. The proposed algorithm can be ext

关键词：热流动光滑交通水动力学表面温度数学模型集中分析热转移

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Bit Rate Reduction in Cloud Gaming Using Object Detection Technique

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Computers, Materials & Continua 2021年第9期68卷 3653-3669页

作者： Daniyal Baig Tahir Alyas muhammad hamid muhammad Saleem Saadia Malik Nadia Tabassum Natash Ali Mian Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Virtual University of PakistanLahore54000Pakistan School of Computer and Information Technology Beaconhouse National University Lahore53700Pakistan

The past two decades witnessed a broad-increase in web technology and on-line gaming.Enhancing the broadband confinements is viewed as one of the most significant variables that prompted new gaming technology.The immense utilization of web applications and games additionally prompted growth in the handled devices and moving the limited gaming experience from user devices to online cloud servers.As internet capabilities are enhanced new ways of gaming are being used to improve the gaming experience.In cloud-based video gaming,game engines are hosted in cloud gaming data centers,and compressed gaming scenes are rendered to the players over the internet with updated controls.In such systems,the task of transferring games and video compression imposes huge computational complexity is required on cloud servers.The basic problems in cloud gaming in particular are high encoding time,latency,and low frame rates which require a new methodology for a better solution.To improve the bandwidth issue in cloud games,the compression of video sequences requires an alternative mechanism to improve gaming adaption without input delay.In this paper,the proposed improved methodology is used for automatic unnecessary scene detection,scene removing and bit rate reduction using an adaptive algorithm for object detection in a game scene.As a result,simulations showed without much impact on the players’quality experience,the selective object encoding method and object adaption technique decrease the network latency issue,reduce the game streaming bitrate at a remarkable scale on different games.The proposed algorithm was evaluated for three video game scenes.In this paper,achieved 14.6%decrease in encoding and 45.6%decrease in bit rate for the first video game scene.

关键词： Video encoding object detection bit rate reduction game video motion estimation computational complexity

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Interleukin-1 receptor antagonist:From synthesis to therapeutic applications

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BIOCELL 2023年第4期47卷 809-823页

作者： KANWAL REHMAN AMMARA AFZAAL muhammad SAJID hamid AKASH muhammad IMRAN MOHAMMED A.ASSIRI Department of Pharmacy The Women UniversityMultan60000Pakistan Department of Pharmaceutical Chemistry Government College UniversityFaisalabad38000Pakistan Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityAbha62413Saudi Arabia Department of Chemistry Faculty of ScienceKing Khalid UniversityAbha62413Saudi Arabia

The cytokine channel’s mechanism for self-regulation involves the application of antagonistic cytokines that are synthesized to connect to the receptors and release soluble cytokine receptors.The very first receptor antagonist of cytokine that was naturally present was interleukin-1 receptor antagonist(IL-1Ra).The IL-1Ra protein forms are disinfected from supernatants of cultured monocytes on stacked IgG.The family of IL-1 consists of IL-1α,IL-1βand IL-1Ra.Human monocytes regulate the production of IL-Ra.IL-Ra takes part in normal physiological functions by using specific antibodies,and acts as an anti-inflammatory agent.IL-Ra is synthesized in the tissues during the period of active disease and can be systematically measured and/or estimated.Maintenance of the levels of IL-Ra and IL-1 is the main factor for host resistance in patients during diseased conditions,as IL-Ra acts as an inherent regulator of various inflammatory responses.In this article,we focuse on how IL-Ra is synthesized and performs its functions once the inflammatory responses are activated.

关键词： IL-Ra Synthesis Therapeutic applications Functions of IL-1Ra

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Biochemical association between the prevalence of genetic polymorphism and myocardial infarction

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BIOCELL 2023年第3期47卷 473-484页

作者： MOMINA SHAHID KANWAL REHMAN muhammad SAJID hamid AKASH SHALEEM SUHAIL SUMBAL RASHEED muhammad IMRAN MOHAMMED AASSIRI Department of Pharmaceutical Chemistry Government College UniversityFaisalabad38000Pakistan Department of Pharmacy The Women UniversityMultan60000Pakistan Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityAbha62413Saudi Arabia Department of Chemistry Faculty of ScienceKing Khalid UniversityAbha62413Saudi Arabia

Genetic polymorphism has a vital role in the pathogenesis and development of myocardial infarction(MI).Single nucleotide polymorphism at any one of the amino acid sequences can result in a diseased state.A single gene can exhibit genetic polymorphism at more than one position giving rise to different variants.Genetic polymorphism of angiotensinogen(AGT)M235T,AGT T174M,and angiotensin-1-converting enzyme(ACE)I/D,endothelial nitric oxide synthase(eNOS),and methylenetetrahydrofolate reductase(MTHFR)can be a risk factor for MI.However,it is important to study the prevalence of genetic polymorphisms of these genes among different populations.MI is influenced by genetic polymorphism of various genes,including AGT,ACE,eNOS,MTHFR,etc.However,the association of genetic polymorphism of these genes varies among different populations,but different ethnic groups could show contradictory results.These genes have shown a positive association with risks of MI in some populations,whereas the results have not been consistent with every ethnic group.In this article,we have summarized the genetic variations in the aforementioned genes and their association with MI.

关键词： Endothelial nitric oxide synthase Methylenetetrahydrofolate reductase AGT M235T AGT T174M

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Unusual presentation of gastric cancer during treatment of hairy cell leukemia:Exploring the etiological basis of this rare phenomenon

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Cancer Pathogenesis and Therapy 2023年第2期1卷 146-148页

作者： Shahan Tariq muhammad Ammar Bin hamid Nazia Rahman Lindsey Oleary Kristine Wong Aasim Sehbai Department of Hematology/Oncology Regional Medical Center(RMC)AnnistonAL36207USA Department of Internal Medicine University of South Dakota Sanford School of MedicineSioux FallsSD57069USA Alabama College of Osteopathic Medicine DothanAL36303USA

Hairy cell leukemia(HCL)is a rare B-cell lymphoproliferative disorder.Patients typically present with cytopenia and splenomegaly.We describe the case of a 78-year-old patient with refractory HCL who acutely developed a cystic lesion on the back while receiving moxetumomab pasudotox therapy.Biopsy of the lesion revealed the presence of adenocarcinoma,which prompted a detailed evaluation resulting in a diagnosis of stage IV gastric cancer.Nevertheless,to establish any association between moxetumomab pasudotox therapy and secondary cancer development,a satisfactory number of studies need to be conducted.

关键词： Cystic lesion Gastric cancer Hairy cell leukemia

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Comparative analysis of the effectiveness of abiraterone before and after docetaxel in patients with metastatic castration-resistant prostate cancer

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World Journal of Clinical Oncology 2015年第4期6卷 64-72页

作者： Raji Shameem muhammad Saad hamid Kevin Y Xu Shenhong Wu Department of Hematology/Oncology Fox Chase Cancer Center Department of Internal Medicine Detroit Medical Center/Wayne State University Department of Medical Education Icahn School of Medicine at Mount Sinai Division of Hematology/Oncology Department of MedicineStony Brook University School of Medicine Northport VA Medical Center

AIM: To study the efficacy and safety of abiraterone in patients with and without prior chemotherapy.METHODS: The databases including Pub Med and abstracts presented at the American Society of Clinical Oncology meetings up to April 2014 were systematically searched. Eligible studies included randomized controlled trials(RCTs) in which abiraterone plus prednisone was compared to placebo plus prednisone in metastatic castration-resistant prostate cancer(CRPC) patients. The summary incidence, relative risk, hazard ratio and 95%CI were calculated using random or fixed-effects models. Heterogeneity test was performed to test between-study differences in efficacy and toxicity.RESULTS: A total of two phase III RCTs were included in our analysis, with metastatic CPRC patients before(n = 1088) and after chemotherapy(n = 1195). Prior chemotherapy did not significantly alter the effect of abiraterone on overall survival(P = 0.92) and prostatespecific antigen(PSA) progression-free survival(P = 0.13), but reduced its effect on radiographic-prog-ression-free survival(P = 0.04), objective response rate(P < 0.001), and PSA response rate(P < 0.001). Prior chemotherapy significantly increased the specific risk of fluid retention and edema(P < 0.001) and hypokalemia(P < 0.001), but decreased the risk of all-grade hypertension(P < 0.001) attributable to abiraterone. There was no significant difference of cardiac disorders associated with abiraterone between the two settings(P = 0.58). CONCLUSION: Prior chemotherapy may reduce the effectiveness of abiraterone in patients with metastatic CRPC.

关键词： Abiraterone Docetaxel Metastatic castration-resistant prostate cancer Chemotherapy-naïve Pre-chemotherapy Post-chemotherapy

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