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Prediction of Acute Renal Failure in Dengue Fever Patients

Open Journal of Urology 2022年第2期12卷 99-106页

作者： salwa abd almoneim mohammed ali mohammed Omer Abaker Gibreel Nazik Sir El Khatim Bakhit Suliman ali Khider ali mohammed Bakri Yousif Mohamed Nour Department of Clinical Chemistry Eastern Sudan College of Medical Science and Technology Port Sudan Sudan Department of Clinical Chemistry Faculty of Medical Laboratory Sciences University of Gezira Wad Medani Sudan Department of Hematology and Immunohematology Port Sudan Ahlia College Port Sudan Sudan Department of Microbiology Eastern Sudan College of Medical Science and Technology Port Sudan Sudan

Background: Dengue virus (DENV) infection is caused by an arboviral strain and is transmitted by the mosquito Aedes aegypti which is found in Sudan especially Red Sea and Kassala states in the east. The disease is known to cause renal disturbances and a thorough understanding of that will potentially help in the prediction, diagnosis and treatment of the disease. Methods: This study is a prospective observational cross sectional study conducted in the Eastern Sudan College of Medical Science and Technology and Port Sudan Teaching Hospital. 200 confirmed Dengue virus infected patients along with 200 healthy appearing adults (control) were enrolled for the study. Statistical analysis was carried out after the collection of patients’ demographic, clinical, and investigational data including serum urea and creatinine values. Ethical approval was obtained from the ministry of health, Red Sea state and informed written consent was obtained from each participant. Results: The highest incidence of DENV infection was observed in individuals of the middle age group (29%). Elevated blood urea levels were detected in 10 (5%) patients while elevated creatinine levels were seen in 17 (8.5%) patients. Although fallen within reference ranges found in the literature, mean blood urea and creatinine values differed significantly between patients and controls and between different categories of the disease. Mean blood urea concentration showed a statistically significant difference between the control (22.3 mg/dl) and the test (28.4 mg/dl) (P value Conclusion: We strongly conclude that renal involvement is not uncommon in Dengue fever and that blood urea and creatinine evaluation should be considered in the counseling of DENV infection patients. Patients need to be subjected to necessary laboratory investigations associated with acute kidney injury to decrease the rate of morbidity and mortality associated with the disease.

关键词： Dengue Virus Acute Kidney Injury Hemorrhagic Fever Shock Syndrome Eastern Sudan

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Significance of Serum Electrolyte Pattern in an Eastern Sudanese Dengue Fever Patients Population

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Open Journal of Medical Microbiology 2022年第1期12卷 1-10页

作者： salwa abd almoneim mohammed ali mohammed Omer Abaker Gibreel Nazik Sir El Khatim Bakhit Suliman ali Khider ali mohammed Bakri Yousif Mohamed Nour Department of Clinical Chemistry Eastern Sudan College of Medical Science and Technology Port Sudan Sudan Department of Clinical Chemistry Faculty of Medical Laboratory Sciences University of Gezira Wad Medani Sudan Department of Hematology and immunohematology Port Sudan Ahlia College Port Sudan Sudan Department of Microbiology Eastern Sudan College of Medical Science and Technology Port Sudan Sudan

Background: Dengue virus (DENV) infection is caused by an arboviral strain and is transmitted by the mosquito Aedes Egyties which is found in Sudan especially Red Sea and Kassala states in the east. In the year 2020 there was a significant outbreak in the both states. The disease is known to cause renal and electrolyte disturbances and a thorough understanding of that which will potentially help in the prediction, diagnosis and treatment of the disease. Methods: This study is a prospective observational cross sectional study conducted in the Eastern Sudan College of Medical Science and Technology and Port Sudan Teaching Hospital. 200 confirmed Dengue virus infection patients along with 200 healthy appearing adults (as a control) were enrolled for the study. Statistical analysis was carried out after the collection of patients’ demographic, clinical, and investigational data including electrolyte values. Results: The highest incidence of DENV infection was observed in individuals of the middle age group (29%). Although fallen within reference ranges found in the literature, mean serum electrolyte values differed significantly between patients and controls and between different categories of the disease. For our patients, hyponatraemia was seen in 43.5%, hypokalaemia in 37%, hypocalcaemia in 30%, hypophosphataemia in 12% and low magnesium concentrations in 13%. Mean serum sodium concentration differed in the control (138.2 mmol/l) from in the test (132.5 mmol/l) (P. value 0.02). Similarly, mean serum potassium in the control (3.97 mmol/l) differed significantly (P. value 0.01) from test (3.30 mmol/l). Mean calcium and phosphorus (8.80 and 3.50 mg/dl) in the control were also differed from test (8.51 and 3.30), (P. values 0.02 and 0.004, respectively). In contrast, serum magnesium (mg/dl) in the control group (1.96) showed no significant difference from that of test group (1.90) (P. value 0.08). The biochemical parameters studied were neither affected by age nor by gen

关键词： Dengue Virus Hemorrhagic Fever Dengue Shock Syndrome Electrolytes Eastern Sudan

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Development of a Novel Noise Reduction Algorithm for Smart Checkout RFID System in Retail Stores

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Computers, Materials & Continua 2024年第7期80卷 1277-1304页

作者： Shazielya Shamsul mohammed A.H.ali salwa Hanim abdul-Rashid Atef M.Ghaleb Fahad M.Alqahtani Department of Mechanical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Centre for Sustainable and Smart Manufacturing(CSSM) Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Industrial Engineering College of EngineeringAlfaisal UniversityRiyadh11533Saudi Arabia Department of Industrial Engineering College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia

This paper presents a smart checkout system designed to mitigate the issues of noise and errors present in the existing barcode and RFID-based systems used at retail stores’checkout *** is achieved by integrating a novel AI algorithm,called Improved Laser Simulator Logic(ILSL)into the RFID *** enhanced RFID system was able to improve the accuracy of item identification,reduce noise interference,and streamline the overall checkout *** potential of the systemfor noise detection and elimination was initially investigated through a simulation study usingMATLAB and ILSL ***,it was deployed in a small-scale environment to validate its real-world *** show that RFID with the proposed new algorithm ILSL and AI basket is capable of accurately detecting the related itemswhile eliminating noise originating fromunrelated objects,achieving an accuracy rate of 88%.

关键词： Smart checkout system RFID technology improved laser simulator logic(ILSL) reduce noise checkout process

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The impact of foot reflexology on fatigue and sleep quality in school-aged children undergoing hemodialysis

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Journal of Integrative Nursing 2024年第2期6卷 76-82页

作者： Amal Hashem MOHAMED Mostafa SHABAN Huda Hamdy mohammed Randa Mohamed ABOBAKER Salman Hamdan ALSAQRI Rania abd-Elnaby mohammed ALLAM Faculty of Nursing Minia UniversityMinyaEgypt College of Nursing Jouf UniversitySakakaSaudi Arabia Faculty of Nursing Cairo UniversityGizaEgypt Northern College of Nursing ARARSaudi Arabia College of Nursing University of HailHailSaudi Arabia

Objective:This study aimed to evaluate the effects of foot reflexology on fatigue and sleep quality in school-aged children receiving ***:A quasi-experimental pretest-posttest design was *** children of ages 6-12 undergoing in-center hemodialysis were *** Pittsburgh Sleep Quality Index(PSQI)and Inventory of Fatigue Symptom(IFS)scales were administered at *** then received 30 min of foot reflexology massage before hemodialysis sessions 3 days per week for 12 *** administration of the sleep and fatigue scales occurred after the intervention ***:Reflexology massage led to significant improvements in sleep quality components,including duration(0%-30%normal sleepers),efficiency(0%-50%>85%),latency(50%-0%>60 min),disturbances,and daytime *** mean PSQI score decreased from 18.2 to 9.7(Pality in children on hemodialysis,warranting integration into routine care.

关键词： Fatigue hemodialysis massage pediatric reflexology sleep

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A Low Complexity ML-Based Methods for Malware Classification

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Computers, Materials & Continua 2024年第9期80卷 4833-4857页

作者： Mahmoud E.Farfoura Ahmad Alkhatib Deema mohammed Alsekait Mohammad Alshinwan Sahar A.El-Rahman Didi Rosiyadi Diaa Salama abd Elminaam Cybersecurity Department Al-Zaytoonah University of JordanAmman11733Jordan Department of Computer Science and Information Technology Applied CollegePrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Faculty of Information Technology Applied Science Private UniversityAmman11931Jordan Computer Systems Program-Electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairo11629Egypt Research Center for Artificial Intelligence and Cybersecurity Electronics and Informatics OrganizationNational Research and Innovation Agency(BRIN)KST Samaun SamadikunBandung40135Republic of Indonesia Jadara Research Center Jadara UniversityIrbid21110Jordan MEU Research Unit Middle East UniversityAmman11831Jordan

The article describes a new method for malware classification,based on a Machine Learning(ML)model architecture specifically designed for malware detection,enabling real-time and accurate malware *** an innovative feature dimensionality reduction technique called the Interpolation-based Feature Dimensionality Reduction Technique(IFDRT),the authors have significantly reduced the feature space while retaining critical information necessary for malware *** technique optimizes the model’s performance and reduces computational *** proposed method is demonstrated by applying it to the BODMAS malware dataset,which contains 57,293 malware samples and 77,142 benign samples,each with a 2381-feature *** the IFDRT method,the dataset is transformed,reducing the number of features while maintaining essential data for accurate *** evaluation results show outstanding performance,with an F1 score of 0.984 and a high accuracy of 98.5%using only two reduced *** demonstrates the method’s ability to classify malware samples accurately while minimizing processing *** method allows for improving computational efficiency by reducing the feature space,which decreases the memory and time requirements for training and *** new method’s effectiveness is confirmed by the calculations,which indicate significant improvements in malware classification accuracy and *** research results enhance existing malware detection techniques and can be applied in various cybersecurity applications,including real-timemalware detection on resource-constrained *** and scientific contribution lie in the development of the IFDRT method,which provides a robust and efficient solution for feature reduction in ML-based malware classification,paving the way for more effective and scalable cybersecurity measures.

关键词： Malware detection ML-based models dimensionality reduction feature engineering

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A Comparative Analysis on Surgical Outcomes and Complications of Endoscopic and Open Vein Harvesting Techniques

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Open Journal of Thoracic Surgery 2024年第2期14卷 29-39页

作者： mohammed Fawzy Eltaweel Ismail N. El-Sokkary Ahmed Alherazi Mohamed Wael Badawi mohammed G. abdellatif Bahaa A. Elkhonezy Ibrahim K. Gamil Haytham Mohamed abd El Moaty Sarra Sadmi Mahmoud Khalil Department of Cardiothoracic Surgery Faculty of Medicine Menoufia University Shibin El Kom Egypt Department of Cardiovascular & Thoracic Surgery Faculty of Medicine Al-Azhar University Cairo Egypt Department of Cardiothoracic Surgery Faculty of Medicine Alexandria University Alexandria Egypt Faculty of Medicine University of Algiers Algiers Algeria Department of Cardiac Surgery Sabah Al-Ahmed Cardiac Center Al-Amiri Hospital Kuwait City Kuwait

Objective: The great saphenous vein (GSV) is commonly used as a conduit for grafting during CABG surgery, and open GSV harvesting (OVH), commonly used with long incision to expose the vein. However, endoscopic vein harvesting (EVH) is an alternative approach, utilizing specialized instruments and small incisions to harvest the vein. Methods: A retrospective analysis was conducted on a cohort of patients who underwent Coronary artery bypass graft (CABG) requiring great saphenous vein (GSV) harvesting which was done by EVH or OVH procedures. Demographic variables, including age and gender, were assessed for both groups. Intraoperative variables such as the number of grafts, cardiopulmonary bypass time, X clamp time, and type of procedure were analyzed. Postoperative variables, including infection and bleeding rates, were also evaluated. Results: The study included 30 patients each undergoing Coronary artery bypass graft (CABG) with need of great saphenous vein harvesting which was done by EVH and OVH. Demographic variables were well-matched between the two groups in terms of age, while a significant difference in gender distribution was observed. Obesity and smoking were more prevalent in the OVH group, and EVH was associated with a higher mean number of grafts compared to OVH. Conversion to an open technique occurred in a portion of the EVH cases, and infection rates did not significantly differ between the EVH and OVH groups. However, the incidence of postoperative bleeding was significantly higher in the EVH group. Conclusion: This study provides valuable insights into the demographic, intraoperative, and postoperative variables associated with EVH and OVH techniques. EVH demonstrated advantages in terms of reduced infection rates compared to OVH. However, the higher incidence of postoperative bleeding associated with EVH raises concerns about potential risks.

关键词： Endoscopic Vein Harvesting (EVH) Open Vein Harvesting (OVH) Coronary Artery Bypass Grafting (CABG) Great Saphenous Vein (GSV) Surgical Outcomes

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Sum Rate Maximization-based Fair Power Allocation in Downlink NOMA Networks

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Computers, Materials & Continua 2022年第6期71卷 5099-5116页

作者： mohammed abd-Elnaby Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Non-orthogonal multiple access(NOMA)has been seen as a promising technology for 5G *** performance optimization of NOMA systems depends on both power allocation(PA)and user pairing(UP).Most existing researches provide sub-optimal solutions with high computational complexity for PA problem and mainly focuses onmaximizing the sum rate(capacity)without considering the fairness ***,the joint optimization of PA and UP needs an exhaustive *** main contribution of this paper is the proposing of a novel capacity maximizationbased fair power allocation(CMFPA)with low-complexity in downlink *** investigation and analysis of the joint impact of signal to noise ratio(SNR)per subcarrier and the channel gains of the paired users on the performance of NOMA in terms of the capacity and the user fairness is ***,a closed-form equation for the power allocation coefficient of CMFPA as a function of SNR,and the channel gains of the paired users is *** addition,to jointly optimizeUP and PAinNOMA systems an efficient low-complexity UP(ELCUP)method is proposed to be incorporated with the proposed CMFPA to compromise the proposed joint resource allocation(JRA).Simulation results demonstrate that the proposed CMFPA can improve the capacity and fairness performance of existing UP methods,such as conventional UP,and random UP ***,the simulation results show that the proposed JRA significantly outperforms the existing schemes and gives a near-optimal performance.

关键词： 5G NOMA UP PA capacity fairness

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Capacity and Fairness Maximization-Based Resource Allocation for Downlink NOMA Networks

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Computers, Materials & Continua 2021年第10期69卷 521-537页

作者： mohammed abd-Elnaby Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Non-orthogonal multiple access(NOMA)is one of the leading technologies for 5G *** pairing(UP)and power allocation(PA)are the key controlling mechanisms for the optimization of the performance of NOMA *** paper presents a novel UP and PA(UPPA)technique for capacity and fairness maximization in NOMA called(CFM-UPPA).The impact of the power allocation coefficient and the ratio between the channel gains of the paired users on the sum-rate capacity and the fairness in NOMA is firstly ***,based on this investigation,the PA and UP algorithms of the CFM-UPPA technique are *** power allocation coefficient of the proposed PA is formulated as an exponentially decaying function of the ratio between the channel gains of the paired users to maximize the capacity and the fairness,and its maximum value is adjusted to guarantee the successive interference cancellation(SIC)*** proposed UP is based on selecting the user that has the highest channel gain per subcarrier as the strong user to maximize the capacity and selecting the user that has the closest lower channel gain to the strong user’s channel gain as the weak user to improve the fairness and *** performance evaluation of the proposed CFM-UPPA technique in terms of capacity,fairness,and outage probability demonstrates that its performance significantly outperforms that of the orthogonal multiple access(OMA)system and that of the NOMA system with random ***,the simulation results demonstrate the efficiency of the proposed PA in improving the performance of other UP algorithms,such as the random UP algorithm.

关键词： 5G non-orthogonal multiple access user pairing power allocation capacity fairness

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Agrobacterium-Mediated Transformation of Rice: Constraints and Possible Solutions

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Rice science 2019年第3期26卷 133-146页

作者： Sulaiman mohammed Azman abd SAMAD Zaidah RAHMAT Department of Biotechnology and Medical Engineering Faculty of Biosciences and Medical Engineering Universiti Teknologi Malaysia Department of Biological Sciences Faculty of Science Gombe State University

Genetic transformation of rice(Oryza sativa L.) by introducing beneficial traits is now a central research instrument in plant physiology and a practical tool for plant improvement. Many approaches are verified for stable introduction of foreign genes into the plant genome. The review examined the different constraints that limit the success of rice genetic transformation via Agrobacterium-mediated approach and suggested possible solutions. Explant identification, gene transfer technique and construct to tailor the integration, transgene expression without collateral to genetic damage and transformant selection are among the technical challenges affecting the rice transformation. Despite the contests, Agrobacteriummediated transformation system has been a better option for producing transgenic rice varieties because of its exact T-DNA processing and simple integration of low copy-number transgene. This information is necessary for improving the transformation system for recalcitrant rice varieties.

关键词： rice Agrobacterium-mediated transformation tissue culture gene transfer T-DNA integration

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Analysis of BrainMRI: AI-Assisted Healthcare Framework for the Smart Cities

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Intelligent Automation & Soft Computing 2023年第2期35卷 1843-1856页

作者： Walid El-Shafai Randa ali Ahmed Sedik Taha El-Sayed Taha mohammed abd-Elnaby Fathi E.abd El-Samie Department Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Department of ROBOTICS and Intelligent Machines Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The use of intelligent machines to work and react like humans is vital in emerging smart ***-aided analysis of complex and huge MRI(Mag-netic Resonance Imaging)scans is very important in healthcare *** AI(Artiﬁcial Intelligence)driven healthcare applications,tumor detection is one of the contemporary researchﬁelds that have become attractive to *** are several modalities of imaging performed on the brain for the pur-pose of tumor *** paper offers a deep learning approach for detecting brain tumors from MR(Magnetic Resonance)images based on changes in the division of the training and testing data and the structure of the CNN(Convolu-tional Neural Network)*** proposed approach is carried out on a brain tumor dataset from the National Centre of Image-Guided Therapy,including about 4700 MRI images of ten brain tumor cases with both normal and abnormal *** dataset is divided into test,and train subsets with a ratio of the training set to the validation set of 70:*** main contribution of this paper is introdu-cing an optimum deep learning structure of CNN *** simulation results are obtained for 50 epochs in the training *** simulation results reveal that the optimum CNN architecture consists of four layers.

关键词： Healthcare smart cities clinical automation CNN machine learning brain tumor medical diagnosis

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