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An Optimal Algorithm for Resource Allocation in D2D Communication

Computers, Materials & Continua 2023年第4期75卷 531-546页

作者： Shahad Alyousif Mohammed Dauwed Rafal Nader Mohammed Hasan Ali mustafa musa jabar Ahmed Alkhayyat Research Centre University of MashreqBaghdadIraq College of Engineering Department of Electrical&Electronic EngineeringGulf UniversityAlmasnadKingdom of Bahrain Medical Instrumentation Techniques Engineering Dijlah University CollegeBaghdadIraq Department of Pharmacy Al-Mustaqbal University CollegeHilla51001Iraq Computer Techniques Engineering Department Faculty of Information TechnologyImam Ja’afar Al-Sadiq UniversityNajaf10023Iraq Department of Medical Instruments Engineering Techniques Al-Turath University CollegeBaghdad10021Iraq Department of Medical Instruments Engineering Techniques Al-Farahidi UniversityBaghdad10021Iraq College of Technical Engineering The Islamic UniversityNajafIraq

The number of mobile devices accessing wireless networks isskyrocketing due to the rapid advancement of sensors and wireless communicationtechnology. In the upcoming years, it is anticipated that mobile datatraffic would rise even more. The development of a new cellular networkparadigm is being driven by the Internet of Things, smart homes, and moresophisticated applications with greater data rates and latency *** are being used up quickly due to the steady growth of smartphonedevices andmultimedia apps. Computation offloading to either several distantclouds or close mobile devices has consistently improved the performance ofmobile devices. The computation latency can also be decreased by offloadingcomputing duties to edge servers with a specific level of computing ***-to-device (D2D) collaboration can assist in processing small-scaleactivities that are time-sensitive in order to further reduce task delays. The taskoffloading performance is drastically reduced due to the variation of differentperformance capabilities of edge nodes. Therefore, this paper addressed thisproblem and proposed a new method for D2D communication. In thismethod, the time delay is reduced by enabling the edge nodes to exchangedata samples. Simulation results show that the proposed algorithm has betterperformance than traditional algorithm.

关键词： D2D communication resource allocation latency optimization

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Hematological picture of pediatric Sudanese patients with visceral leishmaniasis and prediction of leishmania donovani parasite load

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World Journal of Clinical Cases 2024年第30期12卷 6374-6382页

作者： Zeinab Ibrahim Ahmed Elnoor Omaima Abdelmajeed Alamin mustafa Thuraya Gasim Shima Algam Mohamed musa Abdelrahman Hamza Abdelmoneim Islamia Ibrahim Ahmed Omer Hiba Awadelkareem Osman Fadl Department of Pathology Faculty of MedicineOmdurman Ahilia UniversityOmdurmanKhartoumSudan Mohammed Alamin Hamid Pediatric Hospital Omdurman KhartoumSudan Department of Hematology and Blood Transfusion Medicine Federal Ministry of HealthKhartoumSudan Department of Pediatrics Faculty of MedicineOmdurman Islamic UniversityOmdurmanKhartoumSudan Tropical Diseases Teaching Hospital OmdurmanKhartoumSudan Faculty of Medicine Al-Neelain UniversityKhartoumSudan Faculty of Medicine Omdurman Islamic UniversityOmdurmanKhartoumSudan Department of Pediatrics Faculty of MedicineUniversity of Science and TechnologyKhartoumSudan Department of Hematology Faculty of Medical Laboratory SciencesAl-Neelain UniversityKhartoumSudan

BACKGROUND Visceral leishmaniasis(VL)is a systemic protozoan infection caused by Leishmania donovani(***)and transmitted by sand flies,causing macrophage invasion in the liver,spleen,and bone *** of VL is currently based on clinical signs,symptoms,and specific in-vitro markers and bone marrow ***,VL's specific hematological and bone marrow manifestation in Sudanese pediatric patients is not well *** To examine the blood and bone marrow characteristics in pediatric patients from Sudan who have *** This is a retrospective hospital-based study with a sample of 107 consecutive Sudanese pediatric *** data focused on hematological and bone marrow *** included only the completed records of the pediatric patients with VL in the Tropical Disease Teaching Hospital in Khartoum,Sudan from the period of 2016 to *** The majority of pediatric patients included in this study are below 5-years-old(n=59,55.2%).Moreover,anemia,thrombocytopenia,and leukopenia were among the prevalent characteristics in the population under *** further analyze the data,we developed a machine learning model using boosted forest algorithms to predict *** parasites load,with a mean accuracy of 0.88 for the training dataset and an accuracy of 0.46,0.50,and 0.74 for mild,moderate,and severe *** parasite load in the validation *** This study shows that the most common bone marrow change among Sudanese VL children was increased chronic inflammatory cells(n=88,82.2%)with present macrophage hemophagocytes(n=103,96.3%).While anemia and thrombocytopenia were the most common hematological *** results will hopefully lead to an early diagnosis and hence better management for Sudanese pediatric patients with suspected VL.

关键词： Machine learning Bone marrow Hematological changes Tropical diseases Leishmania donovani Visceral leishmaniasis

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An Efficient Method for Heat Recovery Process and Temperature Optimization

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Computers, Materials & Continua 2023年第4期75卷 1017-1031页

作者： Basim Kareem Naser Mohammed Dauwed Ahmed Alkhayyat mustafa musa Jaber Shahad Alyousif Mohammed Hasan Ali Dentistry Department Al-Mustaqbal University CollegeHilla51001Iraq Medical Instrumentation Techniques Engineering Dijlah University CollegeBaghdad00964Iraq College of Technical Engineering The Islamic UniversityNajaf54001Iraq Department of Medical Instruments Engineering Techniques Al-Turath University CollegeBaghdad10021Iraq Department of Medical Instruments Engineering Techniques Al-Farahidi UniversityBaghdad10021Iraq Research Centre University of MashreqBaghdad11001Iraq College of Engineering Department of Electrical&Electronic EngineeringGulf UniversityAlmasnad4363Kingdom of Bahrain Computer Techniques Engineering Department Faculty of Information TechnologyImam Ja’afarAl-Sadiq UniversityNajaf10023Iraq

Flue gas heat loss accounts for a significant component of theoverall heat loss for coal-fired boilers in power plants. The flue gas absorbsmore heat as the exhaust gas temperature rises, which reduces boiler efficiencyand raises coal consumption. Additionally, if the exhaust gas temperatureis too high, a lot of water must be used to cool the flue gas for the wetflue gas desulfurization system to function well, which has an impact onthe power plant’s ability to operate profitably. It is consequently vital totake steps to lower exhaust gas temperatures in order to increase boilerefficiency and decrease the amount of coal and water used. Desulfurizationperformance may be enhanced and water use can be decreased by reasonableflue gas characteristics at the entry. This study analyzed the unit’s energyconsumption, investment, and coal savings while proposing four couplingstrategies for regulating flue gas temperature and waste heat recovery. Agraded flue gas conditioning and waste heat recovery plan was presentedunder the condition of ensuring high desulfurization efficiency, along withthe notion of minimizing energy loss owing to energy inflow temperaturedifference. Numerical results show that the proposed methods improved thesystem performance and reduced the water consumption and regulated theboiler temperature.

关键词： Heat exchange system boiler energy optimization temperature control

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Medical Image Analysis Using Deep Learning and Distribution Pattern Matching Algorithm

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Computers, Materials & Continua 2022年第8期72卷 2175-2190页

作者： mustafa musa Jaber Salman Yussof Amer S.Elameer Leong Yeng Weng Sura Khalil Abd Anand Nayyar Institute of Informatics and Computing in Energy Universiti Tenaga NasionalMalaysia Department of Computer Science Dijlah University CollageBaghdad10021Iraq Biomedical Informatics College University of Information Technology and CommunicationsBaghdadIraq Faculty of Information Technology Duy Tan UniversityDa Nang550000Viet Nam Graduate School Duy Tan UniversityDa Nang550000Viet Nam Department of Computer Science Al-turath University CollegeBaghdadIraq

Artificial intelligence plays an essential role in the medical and health *** convolution networks offer valuable services and help create automated systems to perform medical image ***,convolution networks examine medical images effectively;such systems require high computational complexity when recognizing the same disease-affected ***,an optimized deep convolution network is utilized for analyzing disease-affected regions in this *** disease-relatedmedical images are selected and examined pixel by pixel;this analysis uses the gray wolf optimized deep learning *** method identifies affected pixels by the gray wolf hunting *** convolution network uses an automatic learning function that predicts the disease affected by previous imaging *** optimized algorithm-based selected regions are further examined using the distribution pattern-matching *** pattern-matching process recognizes the disease effectively,and the system’s efficiency is evaluated using theMATLAB implementation *** process ensures high accuracy of up to 99.02%to 99.37%and reduces computational complexity.

关键词： Artificial intelligence medical field gray wolf-optimized deep convolution networks distribution pattern-matching rule

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Effects of astaxanthin on antioxidant parameters in ARPE-19 cells on oxidative stress model

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International Journal of Ophthalmology(English edition) 2019年第6期12卷 930-935页

作者： Yigit musa Günes Alime Uguz Cihangir Yalcin Tok Ozlem Tok Levent Oz Ahmi Naziroglu mustafa Department of Ophthalmology Süleyman Demirel University Research and Education HospitalCünür-Isparta 32200Turkey Department of Biophysics Faculty of MedicineSüleyman Demirel University Research and Education HospitalCünür-Isparta 32200Turkey

AIM: To observe the protective effect of astaxanthin(AST) against hydroquinone(HQ) mediated cell death in the apoptotic cascade and evaluate intracellular Ca2+ release, caspase-3, and-9 activation, reactive oxygen species(ROS) production in ARPE-19 ***: We cultured ARPE-19 cells in special mediums and performed MTT tests to determine protective effect of AST, before exposing the cells to HQ in an incubator. We analyzed intracellular Ca2+ release experiments, mitochondrial membrane depolarization, glutathione(GSH), glutathione peroxidase(GSH-Px) and ROS experiments, and apoptosis ***: ROS production ranges depend on the amount of cell death. We computed the correlation between ROS ranges and cell death by 20,70-dichlorofluorescein fluorescence, and Ca2+ levels by Fura-2-AM. HQ-induced cell death found out to rise ranges of caspase-3 and-9, and mitochondrial depolarization. These three steps were delayed by AST ***: ARPE-19 cells are avoided from HQinduced ROS production and caspase-3 and-9 activation by AST. AST may limit the range of caspase synthesis, Ca2+ release and excess production of ROS with antiapoptotic effect. This study proposes a new therapeutic approach for the treatment of age-related macular degeneration.

关键词： apoptosis ARPE-19 cell astaxanthin oxidative stress

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Integration of Fog Computing for Health Record Management Using Blockchain Technology

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Computers, Materials & Continua 2022年第5期71卷 4135-4149页

作者： Mesfer AI Duhayyim Fahd N.Al-Wesabi Radwa Marzouk Abdalla Ibrahim Abdalla musa Noha Negm Anwer mustafa Hilal Manar Ahmed Hamza Mohammed Rizwanullah Department of Natural and Applied Sciences College of Community AflajPrince Sattam Bin Abdulaziz UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia&Faculty of Computer and ITSana’a UniversityYemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia&Department of MathematicsFaculty of ScienceCairo UniversityGiza12613Egypt Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Science King Khaled UniversityKSA&Faculty of ScienceDepartment of Mathematics and Computer ScienceMenoufia UniversityEgypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia

Internet of Medical Things (IoMT) is a breakthrough technologyin the transfer of medical data via a communication system. Wearable sensordevices collect patient data and transfer them through mobile internet, thatis, the IoMT. Recently, the shift in paradigm from manual data storage toelectronic health recording on fog, edge, and cloud computing has been *** advanced computing technologies have facilitated medical services withminimum cost and available conditions. However, the IoMT raises a highconcern on network security and patient data privacy in the health caresystem. The main issue is the transmission of health data with high security inthe fog computing model. In today’s market, the best solution is blockchaintechnology. This technology provides high-end security and authenticationin storing and transferring data. In this research, a blockchain-based fogcomputing model is proposed for the IoMT. The proposed technique embedsa block chain with the yet another consensus (YAC) protocol building securityinfrastructure into fog computing for storing and transferring IoMT data inthe network. YAC is a consensus protocol that authenticates the input datain the block chain. In this scenario, the patients and their family membersare allowed to access the data. The empirical outcome of the proposedtechnique indicates high reliability and security against dangerous *** major advantages of using the blockchain model are high transparency,good traceability, and high processing speed. The technique also exhibitshigh reliability and efficiency in accessing data with secure transmission. Theproposed technique achieves 95% reliability in transferring a large number offiles up to 10,000.

关键词： Fog computing IoMT block chain YAC security IoT consensus protocol

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核mRNA转运相关蛋白SWT1的初步晶体学研究

核mRNA转运相关蛋白SWT1的初步晶体学研究

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作者： mustafa Abbakar musa Adam 中国科学技术大学

学位级别：硕士

真核生物的基因表达是一个多步骤的过程,包括转录起始、延伸和终止,mRNA加工和包装成一个成熟的mRNP,最后是mRNP运输到细胞质中,在细胞质中由核糖体翻译成蛋白质。在真核生物中,尽管有部分RNA分子在细胞核中发挥作用,大部分成熟的RNA还... 详细信息

真核生物的基因表达是一个多步骤的过程,包括转录起始、延伸和终止,mRNA加工和包装成一个成熟的mRNP,最后是mRNP运输到细胞质中,在细胞质中由核糖体翻译成蛋白质。在真核生物中,尽管有部分RNA分子在细胞核中发挥作用,大部分成熟的RNA还是必须由细胞核中经由核孔被运送到细胞质。值得注意的是,参与蛋白质合成的所有类型的RNA均需要被转运至细胞质中。mRNA出核转运过程包括转录、加工、通过核孔复合物的易位,并翻译成蛋白质。保守的TREX复合物介导了转录和mRNA出核这两个步骤。而新发现的细胞核蛋白SWT1(synthetically lethal with TREX)则能与TREX复合物一起在基因表达中发挥功能。SWT1中包含PIN结构域并具有核酸内切酶活性,是一个重要的转录相关蛋白质。SWT1可与核内mRNP共转录组装质量控制因子共同发挥作用,也可以通过与核篮组件MLP1、Nup60和ESC1与核孔复合物发生相互作用。为了阐明SWT1蛋白在转录过程中所发挥的功能及其作用机理,我们对酿酒酵母的SWT1进行了基因克隆、重组表达、纯化及初步晶体学分析。目前,我们得到了一套3.0A分辨率的SWT1晶体衍射数据,但未能通过分子置换的方法解出结构。后续硒代甲硫氨酸衍生晶体的优化工作正在进行中。

关键词： mRNA export Swt1 preliminary crystallographic study mRNP

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Hybrid Deep Learning Enabled Load Prediction for Energy Storage Systems

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Computers, Materials & Continua 2023年第5期75卷 3359-3374页

作者： Firas Abedi Hayder M.A.Ghanimi Mohammed A.M.Sadeeq Ahmed Alkhayyat Zahraa H.Kareem Sarmad Nozad Mahmood Ali Hashim Abbas Ali S.Abosinnee Waleed Khaild Al-Azzawi mustafa musa Jaber Mohammed Dauwed Department of Mathematics College of EducationAl-Zahraa University for WomenKarbalaIraq Biomedical Engineering Department College of EngineeringUniversity of Warith Al-AnbiyaaKarbalaIraq ITM Department Technical College of AdministrationDuhok Polytechnic UniversityDuhokIraq College of Technical Engineering The Islamic UniversityNajafIraq Department of Medical Instrumentation Techniques Engineering Al-Mustaqbal University CollegeHillah51001Iraq Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkuk36013Iraq College of Information Technology Imam Ja’afar Al-Sadiq UniversityAl-Muthanna66002Iraq Altoosi University College NajafIraq Department of Medical Instruments Engineering Techniques Al-Farahidi UniversityBagdadIraq Department of Medical Instruments Engineering Techniques Al-Turath University CollegeBaghdad10021Iraq Department of Medical Instruments Engineering Techniques Al-Farahidi UniversityBaghdad10021Iraq Department of Medical Instrumentations Techniques Engineering Dijlah University CollegeBaghdadIraq

Recent economic growth and development have considerably raised energy consumption over the *** load prediction approaches become essential for effective planning,decision-making,and contract evaluation of the power *** order to achieve effective forecasting outcomes with minimumcomputation time,this study develops an improved whale optimization with deep learning enabled load prediction(IWO-DLELP)scheme for energy storage systems(ESS)in smart grid *** major intention of the IWO-DLELP technique is to effectually forecast the electric load in SG environment for designing proficient *** proposed IWO-DLELP model initially undergoes pre-processing in two stages namely min-max normalization and feature ***,partition clustering approach is applied for the decomposition of data into distinct clusters with respect to distance and objective ***,IWO with bidirectional gated recurrent unit(BiGRU)model is applied for the prediction of load and the hyperparameters are tuned by the use of IWO *** experiment analysis reported the enhanced results of the IWO-DLELP model over the recent methods interms of distinct evaluation measures.

关键词： Load forecasting smart grid energy storage system electricity load forecasting artificial intelligence clustering

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Predicting of Land Surface Temperature Distribution in Freetown City, Sierra Leone by Using Polynomial Curve Fitting Model

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Journal of Geographic Information System 2020年第5期12卷 531-544页

作者： Elhadi K. mustafa Guoxiang Liu Abubakr Hassan Mohamed A. Damos musa Tarawally Department of Surveying and Geo-Informatics Faculty of Geosciences and Environmental Engineering Southwest Jiaotong University Chengdu China School of Resources and Environment University of Electronic Science and Technology of China Chengdu China

Global warming has attracted much concern about the worldwide organization, civil society groups, researchers, and so forth because the worldwide surface temperature has been expanding. This investigation intends to assess and compare the ability of a combination of land cover indices to predict the future distribution of land surface temperatures in Freetown using the Polynomial model analysis. Landsat satellite images of 1988, 1998, 2000, 2010, and 2018 of the Freetown Metropolitan zone were utilized for analysis. The investigation had adopted two land covers indices, Modification of normalized difference water index and Urban Index (UI) (e.g., MNDWI and UI) and applied a multi regression equation for forecasting the future LST. The stimulation results propose that the development will be accompanied by surface temperature increases, especially in Freetown’s western urban area. The temperature prevailing in the west of the metropolitan area may increase in the city somewhere in the range from 1988 to 2018. Additionally, the results of the LST prediction show that the model is perfect. Our discoveries can be represented as a helpful device for policymakers and community awareness by giving a scientific basis for sustainable urban planning and management.

关键词： Global Warming Land Surface Temperature Polynomial Curve Fitting Land Cover Indices

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Gross and Microscopic Lesions of the Ovaries of Camels from Abattoirs in Eastern Province of Kingdom of Saudi Arabia

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Open Journal of Pathology 2022年第1期12卷 1-11页

作者： Adel I. Al-Afaleq Abdel Gadir musa Homeida Seif Eldawla mustafa Barakat Mohamed Salim Moqbel College of Public Health Imam Abdulrahman Bin Faisal University Dammam KSA Department of Biology College of Science Imam Abdulrahman Bin Faisal University Dammam KSA Department of Anatomy College of Veterinary Medicine King Faisal University Al-Ahsa KSA Department of Pathology College of Veterinary Medicine King Faisal University Al-Ahsa KSA

In the present investigation, gross and microscopic lesions of the ovaries were studied in two hundred and ten (210) adult non-pregnant she-camels. Fresh samples of ovaries were collected from she-camels at the point of slaughter in Al-Ahsa abattoir, Eastern region of Kingdom of Saudi Arabia. These samples were subjected to histopathological studies and stained by routine Hematoxylin and Eosin stain. Grossly, of the 210 ovarian tissues examined, 30 (14.28%) had ovarian lesions of one type or another, whereas 180 (85.71%) camels were apparently healthy. Only 6 (2.85%) ovaries showed unilateral ovarian hypoplasia, whereas 4 (1.9%) showed bilateral ovarian hypoplasia. Cystic ovaries were observed in a total of 13 of the collected samples of ovaries, of these 8 (3.8%) were diagnosed as follicular cystic ovaries, while 5 (2.38%) were luteal cystic ovaries. Ovarian abscess appeared in only one sample of the collected ovaries. While ovarian tumors were observed in a total of 6 of the collected samples distributed as, two fibromas, three dermoid cysts, and only one hemangioma. The present study indicates that follicular cysts, luteal cysts and ovarian hypoplasia were the most common ovarian disorders in non-pregnant she-camels in Al-Ahsa region of the Eastern Province of Kingdom of Saudi Arabia.

关键词： Dromedary Camel Ovarian Lesions Saudi Arabia

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