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Recurrent Transient Ischemic Attacks Revealing Cerebral Amyloid Angiopathy: A Comprehensive Case

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World Journal of Neuroscience 2024年第1期14卷 33-36页

作者： Kenza Khelfaoui Tredano Houyam Tibar Kaoutar El Alaoui Taoussi Wafae Regragui Abdeljalil El Quessar ali Benomar Neurology and Interventional Neuroradiology Department Cheikh Zaied International Hospital International University Abulcasis of Health Sciences Rabat Morocco Neurology and Neurogenetics Department Specialties Hospital Ibn Sina University Hospital Mohammed 5 University Rabat Morocco

This case report investigates the manifestation of cerebral amyloid angiopathy (CAA) through recurrent Transient Ischemic Attacks (TIAs) in an 82-year-old patient. Despite initial diagnostic complexities, cerebral angiography-MRI revealed features indicative of CAA. Symptomatic treatment resulted in improvement, but the patient later developed a fatal hematoma. The discussion navigates the intricate therapeutic landscape of repetitive TIAs in the elderly with cardiovascular risk factors, emphasizing the pivotal role of cerebral MRI and meticulous bleeding risk management. The conclusion stresses the importance of incorporating SWI sequences, specifically when suspecting a cardioembolic TIA, as a diagnostic measure to explore and exclude CAA in the differential diagnosis. This case report provides valuable insights into these challenges, highlighting the need to consider CAA in relevant cases.

关键词： Cerebral Amyloid Angiopathy Transient Ischemic Attacks Recurrent Hemiparesis Susceptibility-Weighted Imaging Cardioembolic Origin Bleeding Risk Management Differential Diagnosis

A critical review of self-diverting acid treatments applied to carbonate oil and gas reservoirs

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Petroleum Science 2023年第2期20卷 922-950页

作者： mohammed Al-Shargabi Shadfar Davoodi David A.Wood Mohsen ali Valeriy S.Rukavishnikov Konstantin M.Minaev School of Earth Sciences&Engineering Tomsk Polytechnic UniversityLenin AvenueTomskRussia DWA Energy Limited LincolnUnited Kingdom Oil and Gas Fields Development and Operation Department Samara State Technical UniversityMolodogvardeyskaya StreetPerakSamaraRussia

Carbonate reservoirs generally achieved relatively low primary resource recovery *** is therefore often necessary to clean those reservoirs up and/or stimulate them post drilling and later in their production life.A common and basic carbonate reservoir cleanup technique to remove contaminating material from the wellbore is *** efficiency of acid treatments is determined by many factors,including:the type and quantity of the acid used;the number of repeated treatments performed,heterogeneity of the reservoir,water cut of the reservoir fluids,and presence of idle zones and ***-treatment production performance of such reservoirs frequently does not meet design *** is therefore much scope to improve acidizing technologies and treatment designs to make them more reliable and *** review considers acid treatment technologies applied to carbonate reservoirs at the laboratory scale and in field-scale *** range of acid treatment techniques commonly applied are *** between specific acid treatments,such as foamed acids,acid emulsions,gelled and thickened acid systems,targeted acid treatments,and acid hydraulic fracturing are described in terms of the positive and negative influences they have on carbonate oil production rates and *** to improve acid treatment techniques are identified,particularly those involving the deployment of nanoparticles(NPs).Due consideration is also given to the potential environmental impacts associated with carbonate reservoir acid *** are made regarding the future research required to overcome the remaining challenges pertaining to acid treatment applications.

关键词： Enhanced and improved resource recovery Hydraulic fracturing Nanofluids Viscoelastic surfactants Self-diverting acid Hydrophobic emulsions Gels

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

Disaster Collaborative Exercises for Healthcare Teamwork in a Saudi Context

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International Journal of Disaster Risk Science 2023年第2期14卷 183-193页

作者： mohammed ali Salem Sultan Amir Khorram-Manesh Jarle Lφwe Sφrensen Johan Berlin Eric Carlstrōm Model of Care Healthcare TransformationRegional Health DirectorateNajran66255Saudi Arabia Institute of Health and Care Sciences Sahlgrenska AcademyGothenburg University40530GothenburgSweden Institute of Clinical Sciences Sahlgrenska AcademyGothenburg University40530GothenburgSweden Gothenburg Emergency Medicine Research Group(GEMREG) Sahlgrenska Academy41345GothenburgSweden USN School of Business University of South-Eastern Norway3199BorreNorway Department of Social and Behavioural Studies University West46186TrolhättanSweden

This study aimed to evaluate the development of healthcare teamwork during and after the collaboration tabletop exercises,through observation and interview *** and maturity theoretical models were employed to explain the collaborative challenges in teams that may suffer from unequally distributed power,hierarchies,and *** three-level collaboration tabletop exercises and the Command and control,Safety,Communication,Assessment,Treatment,Triage,Transport(CSCATTT)instrument,100 healthcare workers were observed during each step in the implementation of the CSCATTT instrument using two simulated *** results show a lack of integration and team maturity among participants in the first scenario,leading to the delayed start of the activity,task distribution,and decision *** shortcomings were improved in the second ***-depth interviews with 20 participants in the second phase of the study revealed improved knowledge and practical skills,self-confidence,and ability in team building within trans-professional groups in the second scenario,which in concordance with the integration theory,was due to the attempts made in the first ***,there was an improvement in the team’s maturity,which in concordance with the maturity theory,was due to the knowledge and practical skills during scenario *** results indicate the importance of continuous tabletop training,and the use of CSCATTT as a collaborative instrument,to promote the development of collaboration and to test the concept of preparedness.

关键词： Collaboration exercises Disaster education Emergency management Healthcare personnel training Saudi Arabia Teamwork

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

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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

Fuzzy-HLSTM(Hierarchical Long Short-Term Memory)for Agricultural Based Information Mining

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Computers, Materials & Continua 2023年第2期74卷 2397-2413页

作者： Ahmed Abdu Alattab mohammed Eid Ibrahim Reyazur Rashid Irshad Anwar ali Yahya Amin A.Al-Awady Department of Computer Science College of Science and ArtsSharurahNajran UniversityNajranSaudi Arabia Department of Computer Science College of Computer Science&Information SystemsNajran UniversityNajranSaudi Arabia Computer Skills Department Deanship of Preparatory YearNajran UniversityNajranSaudi Arabia

This research proposes a machine learning approach using fuzzy logic to build an information retrieval system for the next crop *** case-based reasoning systems,case representation is critical,and thus,researchers have thoroughly investigated textual,attribute-value pair,and ontological *** big databases result in slow case retrieval,this research suggests a fast case retrieval strategy based on an associated representation,so that,cases are interrelated in both either similar or dissimilar *** soon as a new case is recorded,it is compared to prior data to find a relative *** proposed method is worked on the number of cases and retrieval accuracy between the related case representation and conventional *** Long Short-Term Memory(HLSTM)is used to evaluate the efficiency,similarity of the models,and fuzzy rules are applied to predict the environmental condition and soil quality during a particular time of the *** on the results,the proposed approaches allows for rapid case retrieval with high accuracy.

关键词： Machine learning agriculture IoT HLSTM fuzzy rules

Application of the Deep Convolutional Neural Network for the Classification of Auto Immune Diseases

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Computers, Materials & Continua 2023年第10期77卷 647-664页

作者： Fayaz Muhammad Jahangir Khan Asad Ullah Fasee Ullah Razaullah Khan Inayat Khan mohammed ElAffendi Gauhar ali Department of Computer Science and Information Technology Sarhad University of Science and Information TechnologyPeshawar25000Pakistan Department of Computer Science University of Engineering and TechnologyMardan23200Pakistan EIAS Data Science and Blockchain Lab College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia

IIF(Indirect Immune Florescence)has gained much attention recently due to its importance in medical *** primary purpose of this work is to highlight a step-by-step methodology for detecting autoimmune *** use of IIF for detecting autoimmune diseases is widespread in different medical *** 80 different types of autoimmune diseases have existed in various body *** IIF has been used for image classification in both ways,manually and by using the Computer-Aided Detection(CAD)*** data scientists conducted various research works using an automatic CAD system with low *** diseases in the human body can be detected with the help of Transfer Learning(TL),an advanced Convolutional Neural Network(CNN)*** baseline paper applied the manual classification to the MIVIA dataset of Human Epithelial cells(HEP)type II cells and the Sub Class Discriminant(SDA)analysis technique used to detect autoimmune *** technique yielded an accuracy of up to 90.03%,which was not reliable for detecting autoimmune disease in the mitotic cells of the *** the current research,the work has been performed on the MIVIA data set of HEP type II cells by using four well-known models of *** augmentation and normalization have been applied to the dataset to overcome the problem of overfitting and are also used to improve the performance of TL *** models are named Inception V3,Dens Net 121,VGG-16,and Mobile Net,and their performance can be calculated through parameters of the confusion matrix(accuracy,precision,recall,and F1 measures).The results show that the accuracy value of VGG-16 is 78.00%,Inception V3 is 92.00%,Dense Net 121 is 95.00%,and Mobile Net shows 88.00%accuracy,***,DenseNet-121 shows the highest performance with suitable analysis of autoimmune *** overall performance highlighted that TL is a suitable and enhanced technique compared to its ***,the proposed technique is used

关键词： Indirect immune fluorescence computer-aided diagnosis transfer learning confusion matrix

Efficient Data Compression of ECG Signal Based on Modified Discrete Cosine Transform

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Computers, Materials & Continua 2022年第6期71卷 4391-4408页

作者： Ashraf Mohamed ali Hassan mohammed S.Alzaidi Sherif S.M.Ghoneim Waleed El Nahal Electronics and Communications Engineering Department Faculty of EngineeringSinai UniversityArishCO 45511Egypt Department of Electrical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Faculty of Technology and Education Suez UniversitySuez43527Egypt Electronics and Communications Engineering Department Faculty of EngineeringMSA UniversityCO 12585Egypt

This paper introduced an efficient compression technique that uses the compressive sensing(CS)method to obtain and recover sparse electrocardiography(ECG)*** recovery of the signal can be achieved by using sampling rates lower than the Nyquist frequency.A novel analysis was proposed in this *** apply CS on ECG signal,the first step is to generate a sparse signal,which can be obtained using Modified Discrete Cosine Transform(MDCT)on the given *** transformation is a promising key for other transformations used in this search domain and can be considered as the main contribution of this paper.A small number of wavelet components can describe the ECG signal as related work to obtain a sparse *** technique for ECGsignal compression,which is a novel area of research,is *** signals are introduced randomly between any successive beats of the ***-BIH database can be represented as the experimental database in this domain of ***-BIH database consists of various ECG signals involving a patient and standard ECG *** can be considered as the simulation tool used in this *** proposed method’s uniqueness was inspired by the compression ratio(CR)and achieved by *** performance measurement of the recovered signal was done by calculating the percentage root mean difference(PRD),mean square error(MSE),and peak signal to noise ratio(PSNR)besides the calculation of ***,the simulation results indicated that this work is one of the most important works in ECG signal compression.

关键词： Compressive sensing sparse beats of hearts compression ratio percentage root mean difference

Dipper Throated Optimization Algorithm for Unconstrained Function and Feature Selection

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Computers, Materials & Continua 2022年第7期72卷 1465-1481页

作者： ali E.Takieldeen El-Sayed M.El-kenawy mohammed Hadwan Rokaia M.Zaki Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaizYemen Intelligent Analytics Group(IAG) College of ComputerQassim UniversityBuraydahSaudi Arabia Higher Institute of Engineering and Technology KafrelsheikhEgypt Department of Electrical Engineering Shoubra Faculty of EngineeringBenha UniversityEgypt

Dipper throated optimization(DTO)algorithm is a novel with a very efficient metaheuristic inspired by the dipper throated *** has its unique hunting technique by performing rapid bowing *** show the efficiency of the proposed algorithm,DTO is tested and compared to the algorithms of Particle Swarm Optimization(PSO),Whale Optimization Algorithm(WOA),Grey Wolf Optimizer(GWO),and Genetic Algorithm(GA)based on the seven unimodal benchmark ***,ANOVA and Wilcoxon rank-sum tests are performed to confirm the effectiveness of the DTO compared to other optimization ***,to demonstrate the proposed algorithm’s suitability for solving complex realworld issues,DTO is used to solve the feature selection *** strategy of using DTOs as feature selection is evaluated using commonly used data sets from the University of California at Irvine(UCI)*** findings indicate that the DTO outperforms all other algorithms in addressing feature selection issues,demonstrating the proposed algorithm’s capabilities to solve complex real-world situations.

关键词： Metaheuristic optimization swarmoptimization feature selection function optimization