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Outcome of Renal Transplantation at Ahmed Gasim Cardiac and Renal Transplant Centre in Sudan-2014

Open Journal of Nephrology 2023年第1期13卷 39-56页

作者： Luai Mohmmed Bashir Mohmmed Manar Bushra mohammed abdalla Sundos Hamza Fadul Modawey Alaaedeen Mohamed Ali Mansoor Mohamed Mohamed Hamedalneel Yousif Ali Department of Surgery Sudan Medical Specialist Board Khartoum Sudan Department of Surgery Alnaw Teaching Hospital khartoum Sudan Sudan Medical Specialist Board Khartoum Sudan

Background: Although not life-saving procedures like liver or heart transplantation, renal transplantation is the preferred treatment for many patients with end-stage renal disease because it improves patients’ quality of life, while other forms of renal replacement therapy (RRT) such as haemodialysis (HDX) shown to regain only 10% of the patient’s renal function [1]. Transplantation releases patients from the dietary and fluid restrictions and the physical constraints imposed by other forms of (RRT), patients become able to return to their normal activities. Patient’s 5-year survival is higher post transplant. Patients and methods: This is Descriptive, retro-prospective, cross sectional analytic and multicentre study done in Ahmed Gasim Cardiac and Renal Transplant Centre including 105 patients. After meeting the Inclusion Criteria and exclusion Criteria, then cases were selected and written in constructed questionnaire. The aim of the study was to evaluate the outcome of renal transplantation in Sudan. Results: 105 cases were used with male predominate and ratio male to female ratio 3:1, the main age of presentation between 31 - 45 years, most of the patients discharge uneventful with good outcome. During one-year follow-up following renal transplantation. Patient survival 95.2 % graft survival 82.4%. Overall morbidity shows 70.5%. Conclusion: this study showed that the one-year patient survival of 95.2%. Actuarial one-year graft survival of 92.4%. Renal transplantation complications can be reduced by meticulous preoperative workup including good cardiovascular assessment, tissue mismatch and BMI good postoperative follow up for early detection of graft rejection and long-term complications and finally patient education.

关键词： Kidney Transplant Patient Survival Graft Survival Graft Rejection

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The Role of Electrocardiogram DETERMINE Score in Prediction of Coronary Artery Disease Severity

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World Journal of Cardiovascular Diseases 2024年第9期14卷 567-580页

作者： Ismail N. El-Sokkary Essam Ahmed Khalil mohammed Wael Badawi Ibrahim K. Gamil Shousha abdalla A. Elsebaey Mohamed Kamal Rehan Mahmoud Ibrahim Elshamy Yasser Ahmed Sadek Department of Cardiovascular & Thoracic Surgery Faculty of Medicine Al-Azhar University Cairo Egypt Department of Cardiology Al-Azhar University Cairo Egypt Department of Internal Medicine Beni-Sueif University Beni Suef Egypt Department of Radiology Al-Azhar University Cairo Egypt Department of Cardiology Helwan University Cairo Egypt

Background: A major cause of mortality and disability on a global scale is myocardial infarction (MI). These days, the most reliable way to detect and measure MI is via cardiovascular magnetic resonance imaging (CMR). Aims and Objectives: To evaluate the effectiveness of the Electrocardiogram DETERMINE Score in predicting the severity of coronary artery disease (CAD) in patients who have experienced an Acute Myocardial Infarction (AMI) & to assess improvements in left ventricular function at 6 months following coronary artery bypass grafting (CABG). Subjects and Methods: This Observational cohort study was done at the Cardiology and Radiology department and cardiac surgery department, Al-Azhar university hospitals and Helwan University hospital. The study involved 700 cases who patients diagnosed with Acute Myocardial Infarction and fulfilled specific criteria for selection. Result: There was highly statistically significant relation between Myocardial infarction size and ECG Marker Score as mean infarct size elevated When the number of ECG markers increased. There was a highly statistically significant relation between myocardial infarct segments, myocardial infarction size and improvement of cardiac function 6 months post-CABG. Conclusion: The study found that larger myocardial infarctions corresponded with higher DETERMINE Scores. It concluded that an ECG-based score better estimates infarct size than LVEF alone. Additionally, there was a significant statistical correlation between the size and segmentation of myocardial infarction and better cardiac function six months after CABG.

关键词： Electrocardiogram DETERMINE Score Coronary Artery Disease Outcome Acute Myocardial Infarction Coronary Artery Bypass Grafting

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Sports Prediction Model through Cloud Computing and Big Data Based on Artificial Intelligence Method

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Journal of Intelligent Learning Systems and Applications 2024年第2期16卷 53-79页

作者： Aws I. Abu Eid Achraf Ben Miled Ahlem Fatnassi Majid A. Nawaz Ashraf F. A. Mahmoud Faroug A. abdalla Chams Jabnoun Aida Dhibi Firas M. Allan mohammed Ahmed Elhossiny Salem Belhaj Imen Ben Mohamed Faculty of Computing Studies Arab Open University Amman Jordan Computer Science Department Science College Northern Border University Arar Kingdom of Saudi Arabia Artificial Intelligence and Data Engineering Laboratory LR21ES23 Faculty of Sciences of Bizerte University of Carthage Tunis Tunisia Applied College Northern Border University Arar Kingdom of Saudi Arabia Faculty of Specific Education Mansoura University Mansoura Egypt

This article delves into the intricate relationship between big data, cloud computing, and artificial intelligence, shedding light on their fundamental attributes and interdependence. It explores the seamless amalgamation of AI methodologies within cloud computing and big data analytics, encompassing the development of a cloud computing framework built on the robust foundation of the Hadoop platform, enriched by AI learning algorithms. Additionally, it examines the creation of a predictive model empowered by tailored artificial intelligence techniques. Rigorous simulations are conducted to extract valuable insights, facilitating method evaluation and performance assessment, all within the dynamic Hadoop environment, thereby reaffirming the precision of the proposed approach. The results and analysis section reveals compelling findings derived from comprehensive simulations within the Hadoop environment. These outcomes demonstrate the efficacy of the Sport AI Model (SAIM) framework in enhancing the accuracy of sports-related outcome predictions. Through meticulous mathematical analyses and performance assessments, integrating AI with big data emerges as a powerful tool for optimizing decision-making in sports. The discussion section extends the implications of these results, highlighting the potential for SAIM to revolutionize sports forecasting, strategic planning, and performance optimization for players and coaches. The combination of big data, cloud computing, and AI offers a promising avenue for future advancements in sports analytics. This research underscores the synergy between these technologies and paves the way for innovative approaches to sports-related decision-making and performance enhancement.

关键词： Artificial Intelligence Machine Learning Spark Apache Big Data SAIM

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Effect of Diabetes Self-Management Education on Glycaemic Control in Sudanese Adults with Type 2 Diabetes

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Journal of Biosciences and Medicines 2024年第3期12卷 316-327页

作者： Sahar Moawia Balla Elnour Tayseer Abdelmotalib Ahmed Taha Haiam abdalla Wadatalla Ziryab Zainelabdin Mohamed Elmahdi Marwah Isam Abdulmajeed mohammedahmed Rowa Abdelmonem Sidig Hamadto Nahla Yousif Osman mohammed Saeed Omnia Mubarak Saad abdallah Sulafa Abdelbagi Mustafa Ahmed Hanady Abdelhameed Ahmed Mohamed Sarah Khalil Fathi Khalil Family Medicine Health Gates Primary Care Riyadh SAU Family Medicine Dhaman Health Assurance Hospitals Company Kuwait KWT Family Medicine First Health Cluster Riyadh SAU Emergency Department Sheikh Khalifa Medical City Abudahbi ARE Family Medicine University of Medical Sciences and Technology Khartoum SDN Family Medicine Sudan Medical Specialization Board-Sudan Khartoum SDN Family Medicine Ultra Care Home Care Company Riyadh SAU Medicine Department Health Gates Primary Care Riyadh SAU Family Medicine Mouwasat Hospital Madinah SAU

Research Background: The high prevalence of diabetes in Sudan, estimated at 16%, highlights the importance of effective health education in diabetes management. Diabetes self-management education has been identified as a crucial tool in enhancing the knowledge, attitudes, and abilities necessary for self-management among individuals with diabetes. Aim: To assess the impact of diabetes self-management education on medication adherence and glycemic control in Sudanese adults with type 2 diabetes before and 3 months after the DSME intervention. Method: The study was conducted in Sudan between September 2022 and March 2023, it was an interventional, one-group, pre- and post-test study that aimed to assess the impact of diabetes self-management education (DSME) on medication adherence and diabetes control in Sudanese adults with type 2 diabetes. The research was conducted in primary health care centers in six cities in Sudan and involved 244 participants. The data entry and statistical analysis were conducted using the Statistical Package for Social Sciences version 27.0. A paired t test was used for analysis. Results: The study included 244 participants, 67% of whom were males. The age mean ± SD was 48.6 ± 9.3 years, and 85.3% of participants were married. Age at onset of diabetes mean ± SD was 40.60 ± 7.81 years;44.6% had diabetes for less than 5 years;and 84.1% had a positive family history of diabetes mellitus. The levels of poor, low, and partial adherence to medication decreased by 8.2%, 4%, and 20.6%, respectively, after the intervention. The levels of good and high medication regime adherence increased by 13% and 19.8%, respectively;BMI decreased by 1.1 ± 0.73 kg/m2 (p = 0.005). The fasting blood sugar decreased by 69 ± 32.9 mg/dl (p = 0.049), and the glycated hemoglobin decreased by 1.21 ± 0.28% (p = 0.001). Conclusions: The findings of this study reinforce the importance of patient education in improving glycemic control and enhancing self-management

关键词： Sudan Adherence Intervention Education Self-Management Diabetes

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Effect of smart sprinkler irrigation utilization on water use efficiency for wheat crops in arid regions

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International Journal of Agricultural and Biological Engineering 2014年第1期7卷 26-35页

作者： Hussein mohammed Al-Ghobari Mohamed Said abdalla El Marazky Department of Agricultural Engineering College of Food and Agriculture Sciences King Saud UniversityRiyadh 11451Kingdom of Saudi Arabia

The smart irrigation system(SIS)developed in this research is a valuable tool for scheduling irrigation and quantifying water required by *** was implemented and tested under sprinkler irrigation system to irrigate wheat crops(YecoraRojo).Results obtained from this system were compared with the control irrigation system(CIS),whose scheduling method was based on data from an automatic weather *** indicated significant savings in applied water using the *** addition,the use of the SIS conserved 12%of irrigation water compared to CIS and obtained an economical *** water use efficiency(WUE)under SIS had generally higher values(1.64 kg/m^(3))compared to CIS(1.46 kg/m^(3)).Hence,the application of SIS technology provides significant advantages on WUE and irrigation water use efficiency(IWUE).Relatively high WUE and IWUE were found for the irrigation treatment(80%of evapotranspiration under SIS).Results showed that the irrigation requirements of wheat increased(100%of ETc under CIS)with increasing evapotranspiration(ETc)but excessive irrigation could decrease WUE and *** results indicated that extreme irrigation might not produce higher yield or optimal economic benefit,thus,suitable irrigation schedules by using SIS must be established and extendable to other agricultural crops.

关键词： smart irrigation system(SIS) sprinkler irrigation scheduling water use efficiency arid region evapotranspiration grain yield

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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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Association of Blastocystis hominis with colorectal cancer:A systematic review of in vitro and in vivo evidences

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World Journal of Gastrointestinal Oncology 2022年第3期14卷 734-745页

作者： Vinoth Kumarasamy Wahib mohammed Atroosh Deepa Anbazhagan Mona Mohamed Ibrahim abdalla Meram Azzani Department of Microbiology and Parasitology Faculty of MedicineBioscience and NursingMAHSA UniversityJenjarom 42610SelangorMalaysia Department of Preclinical Sciences Faculty of Medicine and Health SciencesUniversiti Tunku Abdul RahmanKajang 43000SelangorMalaysia Department of Parasitology Faculty of MedicineUniversiti MalayaKuala Lumpur 50603Wilayah PersekutuanMalaysia Department of Microbiology and Parasitology Faculty of Medicine and Health SciencesUniversity of AdenAden 00Yemen Human Biology Department International Medical UniversityBukit Jalil 57000Kuala LumpurMalaysia Department of Community Medicine Faculty of MedicineBioscience and NursingMAHSA UniversityJenjarom 42610SelangorMalaysia

BACKGROUND Recently,there have been several findings that showed intestinal colonisation of Blastocystis hominis(Blastocystis)as a risk factor to the worsening of colorectal cancer(CRC).However,studies have shown controversial results in the pathogenicity of *** To review systematically the evidence available on the association between CRC and Blastocystis and the prevalence of Blastocystis in CRC patients and to investigate cytopathic and immunological effects of Blastocystis in in vitro and in vivo *** PRISMA guidelines were utilised in conducting this systematic *** articles published before February 2,2020 were ***,Science Direct,Scopus and Google scholar databases were *** searching was carried out to find articles missed during the online *** Out of 12 studies selected for this systematic review,seven studies confirmed the prevalence of Blastocystis and found it to be between 2%-28%in CRC patients,whereby subtype 1 and subtype 3 were predominantly seen.A total of four studies employing in vitro human colorectal carcinoma cell line study models showed significant cytopathic and immunological effects of *** addition,one in vivo experimental animal model study showed that there was a significant effect of infection with Blastocystis on exacerbation of colorectal *** Blastocystis is a commonly identified microorganism in CRC *** studies have provided supportive data that Blastocystis could exacerbate existing CRC via alteration in host immune response and increased oxidative *** studies of CRC and Blastocystis should attempt to determine the various stages of CRC that are most likely to be associated with Blastocystis and its relationship with other intestinal bacteria.

关键词： Blastocystis hominis Colorectal cancer Cytopathic effect Immunological effect

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Exposure to herbicides reduces larval sensitivity to insecticides in Spodoptera litura (Lepidoptera: Noctuidae)

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Insect Science 2019年第4期26卷 711-720页

作者： Shi-Wei Liu mohammed Esmail abdalla Elzaki Christian Staehelin Zhi-Hui Ma Zhong Qin Rui-Long Wang Guangdong Engineering Research Center for Modern Eco-agriculture and Circular Agriculture Guangzhou China Key Laboratory of Agro-Environment in the Tropics Ministry of Agriculture South China Agricultural University Guangzhou China College of Crop Science Fujian Agriculture and Forestry University Fuzhou China State Key Laboratory of Biocontrol and Guangdong Key Laboratory of Plant Resources School of Life Sciences Sun Yat-sen University East Campus Guangzhou China

Herbicides and insecticides are widely used in modern agriculture. It has been reported in various studies that application of insecticides can increase tolerance of herbivorous insects to insecticides. However, limited information exists on susceptibility to insecticides when insects are exposed to herbicides. This study was conducted to investigate the potential impact of the herbicides trifluralin and 2-methyl-4-chlorophenoxyacetic acid sodium salt (MCPA-Na) on the susceptibility of the nocturnal moth Spodoptera litura to the insecticides X-cyhalothrin, phoxim and bifenthrin. We found that larvae exposed to trifluralin or MCPA-Na became significantly less susceptible to both insecticides than nonexposed control larvae. Herbicide-treated larvae did not show altered growth under the used test conditions. However, heads of herbicide-treated larvae showed increased expression of the acetylcholinesterase genes SI Ace I and SI Ace 2. Moreover, the fat body and midgut of herbicide-treated larvae displayed elevated expression of detoxification genes (the carboxylesterase gene SI CarE;the glutathione S-transferase genes SlGSTe2 and SlGSTe3\ the cytochrome P450 monooxygenase genes CYP6B48, CYP9A40 and CYP321B1). The CYP6B48 gene exhibited highest inducibility. In conclusion, the data of this study suggest that exposure of S. litura larvae to herbicides may stimulate detoxification mechanisms that compromise the efficacy of insecticides.

关键词： herbicides insecticides insecticide detoxification insecticide susceptibility Spodoptera litura

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Age and Gender Classification Using Backpropagation and Bagging Algorithms

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Computers, Materials & Continua 2023年第2期74卷 3045-3062页

作者： Ammar Almomani mohammed Alweshah Waleed Alomoush Mohammad Alauthman Aseel Jabai Anwar Abbass Ghufran Hamad Meral abdalla Brij B.Gupta Research and Innovation Department Skyline University CollegeP.O.Box 1797SharjahUAE IT-department-Al-Huson University College Al-Balqa Applied UniversityP.O.Box 50IrbidJordan Prince Abdullah Ben Ghazi Faculty of Information and Communication Technology Al-Balqa Applied UniversityAl-SaltJordan School of Information Technology Skyline University CollegeSharjah P.O.Box 1797United Arab Emirates Department of Information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan Department of Computer Science and Information Engineering Asia UniversityTaizhongTaiwan Department of Computer Science King Abdulaziz UniversityJeddahSaudi Arabia

Voice classification is important in creating more intelligent systems that help with student exams,identifying criminals,and security *** main aim of the research is to develop a system able to predicate and classify gender,age,and ***,a newsystem calledClassifyingVoice Gender,Age,and Accent(CVGAA)is *** and bagging algorithms are designed to improve voice recognition systems that incorporate sensory voice features such as rhythm-based features used to train the device to distinguish between the two gender *** has high precision compared to other algorithms used in this problem,as the adaptive backpropagation algorithm had an accuracy of 98%and the Bagging algorithm had an accuracy of 98.10%in the gender identification *** has the best accuracy among all algorithms,with 55.39%accuracy in the voice common dataset and age classification and accent accuracy in a speech accent of 78.94%.

关键词： Classify voice gender accent age bagging algorithms back propagation algorithms AI classifiers

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Deep Reinforcement Learning Enabled Smart City Recycling Waste Object Classification

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Computers, Materials & Continua 2022年第6期71卷 5699-5715页

作者： Mesfer Al Duhayyim Taiseer abdalla Elfadil Eisa Fahd NAl-Wesabi Abdelzahir Abdelmaboud Manar Ahmed Hamza Abu Sarwar Zamani mohammed Rizwanullah Radwa Marzouk Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Information Systems-Girls Section King Khalid UniversityMahayil62529Saudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Information Systems King Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of Mathematics Faculty of ScienceCairo UniversityGiza12613Egypt Corresponding Author:Manar Ahmed Hamza.Email:ma.hamza@psau.edu.sa

The Smart City concept revolves around gathering real time data from citizen,personal vehicle,public transports,building,and other urban infrastructures like power grid and waste disposal *** understandings obtained from the data can assist municipal authorities handle assets and services *** the same time,the massive increase in environmental pollution and degradation leads to ecological imbalance is a hot research ***,the progressive development of smart cities over the globe requires the design of intelligent waste management systems to properly categorize the waste depending upon the nature of *** of the commonly available wastes are paper,paper boxes,food,glass,*** order to classify the waste objects,computer vision based solutions are cost effective to separate out the waste from the huge dump of garbage and *** to the recent developments of deep learning(DL)and deep reinforcement learning(DRL),waste object classification becomes possible by the identification and detection of *** this aspect,this paper designs an intelligence DRL based recycling waste object detection and classification(IDRL-RWODC)model for smart *** goal of the IDRLRWODC technique is to detect and classify waste objects using the DL and DRL *** IDRL-RWODC technique encompasses a twostage process namely Mask Regional Convolutional Neural Network(Mask RCNN)based object detection and DRL based object *** addition,DenseNet model is applied as a baseline model for the Mask RCNN model,and a deep Q-learning network(DQLN)is employed as a ***,a dragonfly algorithm(DFA)based hyperparameter optimizer is derived for improving the efficiency of the DenseNet *** order to ensure the enhanced waste classification performance of the IDRL-RWODC technique,a series of simulations take place on benchmark dataset and the experimental results pointed out the better performance over the recent techniques

关键词： Smart cities deep reinforcement learning computer vision image classification object detection waste management

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