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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2795-2823页

作者： Naif alotaibi A.S.al-Moisheer Ibrahim Elbatal mohammed Elgarhy Ehab M.almetwally Department of Mathematics and Statistics Faculty of ScienceImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Mathematics College of ScienceJouf UniversityP.O.Box 848Sakaka72351Saudi Arabia Mathematics and Computer Science Department Faculty of ScienceBeni-Suef UniversityBeni-Suef62521Egypt Department of Basic Sciences Higher Institute of Administrative SciencesBelbeisEgypt Faculty of Business Administration Delta University for Science and TechnologyGamasa11152Egypt

This article introduces a novel variant of the generalized linear exponential(GLE)distribution,known as the sine generalized linear exponential(SGLE)*** SGLE distribution utilizes the sine transformation to enhance its *** updated distribution is very adaptable and may be efficiently used in the modeling of survival data and dependability *** suggested model incorporates a hazard rate function(HRF)that may display a rising,J-shaped,or bathtub form,depending on its unique *** model includes many well-known lifespan distributions as separate *** suggested model is accompanied with a range of statistical *** model parameters are examined using the techniques of maximum likelihood and Bayesian estimation using progressively censored *** order to evaluate the effectiveness of these techniques,we provide a set of simulated data for testing *** relevance of the newly presented model is shown via two real-world dataset applications,highlighting its superiority over other respected similar models.

关键词： Sine G family generalized linear failure rate progressively censored data moments maximum likelihood estimation Bayesian estimation simulation

AMachine Learning Approach to Cyberbullying Detection in Arabic Tweets

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Computers, Materials & Continua 2024年第7期80卷 1033-1054页

作者： Dhiaa Musleh Atta Rahman mohammed Abbas alkherallah Menhal Kamel al-Bohassan Mustafa mohammed alawami Hayder ali alsebaa Jawad ali alnemer Ghazi Fayez al-Mutairi May Issa aldossary Dalal A.aldowaihi Fahd alhaidari Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Information Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Networks and Communications College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

With the rapid growth of internet usage,a new situation has been created that enables practicing *** has increased over the past decade,and it has the same adverse effects as face-to-face bullying,like anger,sadness,anxiety,and *** the anonymity people get on the internet,they tend to bemore aggressive and express their emotions freely without considering the effects,which can be a reason for the increase in cyberbullying and it is the main motive behind the current *** study presents a thorough background of cyberbullying and the techniques used to collect,preprocess,and analyze the ***,a comprehensive review of the literature has been conducted to figure out research gaps and effective techniques and practices in cyberbullying detection in various languages,and it was deduced that there is significant room for improvement in the Arabic *** a result,the current study focuses on the investigation of shortlisted machine learning algorithms in natural language processing(NLP)for the classification of Arabic datasets duly collected from Twitter(also known as X).In this regard,support vector machine(SVM),Naive Bayes(NB),Random Forest(RF),Logistic regression(LR),Bootstrap aggregating(Bagging),Gradient Boosting(GBoost),Light Gradient Boosting Machine(LightGBM),Adaptive Boosting(AdaBoost),and eXtreme Gradient Boosting(XGBoost)were shortlisted and investigated due to their effectiveness in the similar ***,the scheme was evaluated by well-known performance measures like accuracy,precision,Recall,and ***,XGBoost exhibited the best performance with 89.95%accuracy,which is promising compared to the state-of-the-art.

关键词： Supervised machine learning ensemble learning cyberbullying Arabic tweets NLP

Integrating petrophysical data into efficient iterative cluster analysis for electrofacies identification in clastic reservoirs

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Energy Geoscience

Energy Geoscience 2024年第4期5卷 291-305页

作者： mohammed A.Abbas Watheq J.al-Mudhafar Aqsa Anees David A.Wood Basrah Oil Company BasrahIraq Institute of International Rivers and Eco-Security Yunnan UniversityKunming650500China Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental ScienceYunnan UniversityKunming650500China DWA Energy Limited LincolnUK

Efficient iterative unsupervised machine learning involving probabilistic clustering analysis with the expectation-maximization(EM)clustering algorithm is applied to categorize reservoir facies by exploiting latent and observable well-log variables from a clastic reservoir in the Majnoon oilfield,southern *** observable well-log variables consist of conventional open-hole,well-log data and the computer-processed interpretation of gamma rays,bulk density,neutron porosity,compressional sonic,deep resistivity,shale volume,total porosity,and water saturation,from three wells located in the Nahr Umr *** latent variables include shale volume and water *** EM algorithm efficiently characterizes electrofacies through iterative machine learning to identify the local maximum likelihood estimates(MLE)of the observable and latent variables in the studied *** optimized EM model developed successfully predicts the core-derived facies classification in two of the studied *** EM model clusters the data into three distinctive reservoir electrofacies(F1,F2,and F3).F1 represents a gas-bearing electrofacies with low shale volume(Vsh)and water saturation(Sw)and high porosity and permeability values identifying it as an attractive reservoir *** results of the EM model are validated using nuclear magnetic resonance(NMR)data from the third studied well for which no cores were *** NMR results confirm the effectiveness and accuracy of the EM model in predicting *** utilization of the EM algorithm for electrofacies classification/cluster analysis is ***,the clusters it establishes are less rigidly constrained than those derived from the more commonly used K-means clustering *** EM methodology developed generates dependable electrofacies estimates in the studied reservoir intervals where core samples are not ***,once calibrated with core data in some wells,the model is suitable for

关键词： Cluster analysis Electrofacies classification Expectation-maximization(EM)algorithm Clastic reservoir Maximum likelihood estimate(MLE)

Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model

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Geoscience Frontiers 2024年第3期15卷 67-84页

作者： Rami al-Ruzouq Abdallah Shanableh Ratiranjan Jena mohammed Barakat A.Gibril Nezar Atalla Hammouri Fouad Lamghari GIS&Remote Sensing Center Research Institute of Sciences and EngineeringUniversity of SharjahSharjah 27272United Arab Emirates Civil and Environmental Engineering Department University of SharjahSharjah 27272United Arab Emirates Department of Earth and Environmental Sciences Prince El-Hassan bin Talal Faculty for Natural Resources&EnvironmentThe Hashemite UniversityZarqaJordan Fujairah Research Centre Fujairah CityAl Hilal TowerAl Hilal CityFujairahUnited Arab Emirates

Flash floods(FFs)are amongst the most devastating hazards in arid regions in response to climate change and can cause the loss of agricultural land,human lives and *** of the major challenges is the high-intensity rainfall events affecting low-lying areas that are vulnerable to *** works in this field have been conducted using ensemble machine learning models and geohydrological ***,the current advancement of eXtreme deep learning,which is named eXtreme deep factorisation machine(xDeepFM),for FF susceptibility mapping(FSM)is lacking in the *** current study introduces a new model and employs a previously unapplied approach to enhance FSM for capturing the severity of *** proposed approach has three main objectives:(i)During-and after-flood effects are assessed through flood detection techniques using Sentinel-1 data.(ii)Flood inventory is updated using remote sensing-based *** derived flood effects are implemented in the next step.(iii)An FSM map is generated using an xDeepFM ***,this study aims to apply xDeepFM to estimate susceptible areas using 13 factors in the emirates of Fujairah,*** performance metrics show a recall of 0.9488),an F1-score of 0.9107),precision of(0.8756)and an overall accuracy of 90.41%.The accuracy of the applied xDeepFM model is compared with that of traditional machine learning models,specifically the deep neural network(78%),support vector machine(85.4%)and random forest(88.75%).Random forest achieves high accuracy,which is due to its strong performance that depends on factors contribution,dataset size and quality,and available computational ***,the xDeepFM model works efficiently for complicated prediction problems having high non-collinearity and huge *** obtained map denotes that the narrow basins,lowland coastal areas and riverbank areas up to 5 km(Fujairah)are highly prone to FF,whilst the alluvial plains in al Dhaid and hilly regio

关键词： Flood susceptibility mapping eXtreme Deep Factorisation Machine Sentinel-1 Remote sensing

Posture Detection of Heart Disease Using Multi-Head Attention Vision Hybrid(MHAVH)Model

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Computers, Materials & Continua 2024年第5期79卷 2673-2696页

作者： Hina Naz Zuping Zhang mohammed al-Habib Fuad A.Awwad Emad A.A.Ismail Zaid ali Khan School of Computer Science and Engineering Central South UniversityChangsha410003China Department of Quantitative analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia Electrical and Computer Engineering University of VictoriaVictoriaV9A1B8Canada

Cardiovascular disease is the leading cause of death *** disease causes loss of heart muscles and is also responsible for the death of heart cells,sometimes damaging their functionality.A person’s life may depend on receiving timely assistance as soon as ***,minimizing the death ratio can be achieved by early detection of heart attack(HA)*** the United States alone,an estimated 610,000 people die fromheart attacks each year,accounting for one in every four ***,by identifying and reporting heart attack symptoms early on,it is possible to reduce damage and save many lives *** objective is to devise an algorithm aimed at helping individuals,particularly elderly individuals living independently,to safeguard their *** address these challenges,we employ deep learning *** have utilized a vision transformer(ViT)to address this ***,it has a significant overhead cost due to its memory consumption and computational complexity because of scaling dot-product ***,since transformer performance typically relies on large-scale or adequate data,adapting ViT for smaller datasets is more *** response,we propose a three-in-one steam model,theMulti-Head Attention Vision Hybrid(MHAVH).Thismodel integrates a real-time posture recognition framework to identify chest pain postures indicative of heart attacks using transfer learning techniques,such as ResNet-50 and VGG-16,renowned for their robust feature extraction *** incorporatingmultiple heads into the vision transformer to generate additional metrics and enhance heart-detection capabilities,we leverage a 2019 posture-based dataset comprising RGB images,a novel creation by the author that marks the first dataset tailored for posture-based heart attack *** the limited online data availability,we segmented this dataset into gender categories(male and female)and conducted testing on both segmented and original dat

关键词： Image analysis posture of heart attack(PHA)detection hybrid features VGG-16 ResNet-50 vision transformer advance multi-head attention layer

EECLP: AWireless Sensor Networks Energy Efficient Cross-Layer Protocol

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Computers, Materials & Continua 2024年第8期80卷 2611-2631页

作者： mohammed Kaddi mohammed Omari Moamen alnatoor LDDI Laboratory University of AdrarAdrar01000Algeria Computer Science and Engineering Department School of EngineeringAmerican University of Ras Al KhaimahRas Al Khaimah72603United Arab Emirates

Recent advancements in wireless communications have allowed the birth of novel wireless sensor networks(WSN).A sensor network comprises several micro-sensors deployed randomly in an area of interest.A micro-sensor is provided with an energy resource to supply electricity to all of its ***,the disposed energy resource is limited and battery replacement is generally *** this restriction,the sensors must conserve energy to prolong their *** energy conservation strategies for WSNs have been presented in the literature,from the application to the physical *** of these solutions focus only on optimizing a single layer in terms of energy *** this research,a novel cross-layer technique for WSNs’effective energy usage is *** most energy consumption factors exist in the Medium Access Control(MAC)layer and network layer,our EECLP protocol(Energy Efficient Cross-Layer Protocol for Wireless Sensor Networks)integrates these two layers to satisfy energy efficiency *** gain access to the transmission channel,we implement a communication regime at the MAC layer based on CSMA/CA(Carrier Sense Multiple Access/Collision Avoidance)***,depending on the activity and a standby period,we employ the RTS/CTS(Request to Send/Clear to Send)method to prevent collisions and resolve hidden node concerns by utilizing the network allocation vector(NAV)to calculate the transmission *** a greedy strategy,we establish chains amongst cluster members to mitigate the issue of high energy consumption in routing *** objective function was utilized to determine the optimal cross-chain path based on the distances to the base station(BS)and residual energy(RE).The simulation,testing,and comparison of the proposed protocol to peer protocols have shown superior outcomes and a prolonged network *** the suggested protocol,the network lifetime increases by 10%compared to FAMACO(Fuzzy and Ant Col

关键词： WSN energy consumption MAC layer network layer EECLP energy-efficient lifespan

Impact of auditory stimulation nursing protocol on auditory response in cerebrovascular stroke patients

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Journal of Integrative Nursing 2024年第2期6卷 111-116页

作者： mohammed ElSayed ZAKY Hanan Ahmed al SEBAEE Nagat El Morsy IBRAHIEM Heba Ahmed mohammed Mohammad Edrees MOHAMMAD Department of Medical Surgical Nursing Faculty of NursingCairo UniversityCairoEgypt Department of Neurology Faculty of MedicineCairo UniversityCairoEgypt

Objectives:The objective of the study was to explore the impact of auditory stimulation protocol on auditory response in cerebrovascular stroke(CVS)*** and Methods:A pre-posttest nonequivalent control group quasi-experimental study was conducted at al Mainal Hospital at al Kars Einy Hospital,Cairo University,among 60 CVS patients,and the sample was randomly assigned through a coin to allocate subjects to study or control group(30 for each group).Auditory stimulation techniques were applied three times per week for the study group for two consecutive *** in the control group received only routine hospital care during the study *** Glasgow Coma Scale(GCS)score for assessing the neurological function and level of arousal and the auditory subscale score of Western Neuro Sensory Stimulation Profile(WNSSP)for assessing auditory response were recorded and compared between the two groups before and after the ***:There were statistically significant differences between the study group and the control group regarding third reading of GCS score(11.5±0.3 vs.10.6±0.9,t=4.676,P=0.000).The scores of all auditory subscales of WNSSP in the study groups increased after implementing the auditory stimulation protocol(Pals with CVS.

关键词： Auditory stimulation techniques hearing response nursing management stroke

Smartphone-Based Wi-Fi Analysis for Bus Passenger Counting

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Computers, Materials & Continua 2024年第4期79卷 875-907页

作者： mohammed alatiyyah Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

In the contemporary era of technological advancement,smartphones have become an indispensable part of individuals’daily lives,exerting a pervasive *** paper presents an innovative approach to passenger countingonbuses throughthe analysis ofWi-Fi signals emanating frompassengers’mobile *** study seeks to scrutinize the reliability of digital Wi-Fi environments in predicting bus occupancy levels,thereby addressing a crucial aspect of public *** proposed system comprises three crucial elements:Signal capture,data filtration,and the calculation and estimation of passenger *** pivotal findings reveal that the system demonstrates commendable accuracy in estimating passenger counts undermoderate-crowding conditions,with an average deviation of 20%from the ground truth and an accuracy rate ranging from 90%to 100%.This underscores its efficacy in scenarios characterized by moderate levels of ***,in densely crowded conditions,the system exhibits a tendency to overestimate passenger numbers,occasionally doubling the actual *** acknowledging the need for further research to enhance accuracy in crowded conditions,this study presents a pioneering avenue to address a significant concern in public *** implications of the findings are poised to contribute substantially to the enhancement of bus operations and service quality.

关键词： Public transportation digital environment passenger estimation signal capturing Wi-Fi

Fecal calprotectin in pediatric gastrointestinal diseases:Pros and cons

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World Journal of Clinical Pediatrics 2024年第2期13卷 198-220页

作者： mohammed al-Beltagi Nermin Kamal Saeed Adel Salah Bediwy Reem Elbeltagi Department of Pediatric Faculty of MedicineTanta UniversityTanta 31511AlghrabiaEgypt Department of Pediatrics University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671ManamaBahrain Department of Pediatrics University Medical CenterDr.Sulaiman Al Habib Medical GroupBahrainManama 26671ManamaBahrain Medical Microbiology Section Department of PathologySalmaniya Medical ComplexMinistry of HealthKingdom of BahrainManama 12ManamaBahrain Medical Microbiology Section Department of PathologyIrish Royal College of SurgeonBahrainBusaiteen 15503MuharraqBahrain Department of Pulmonology Faculty of MedicineTanta UniversityTanta 31527AlghrabiaEgypt Department of Pulmonology University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671ManamaBahrain Department of Pulmonology University Medical CenterKing Abdulla Medical CityDr.Sulaiman Al Habib Medical GroupManama 26671ManamaBahrain Department of Medicine The Royal College of Surgeons in Ireland-BahrainBusiateen 15503MuharraqBahrain

BACKGROUND Fecal calprotectin is a valuable biomarker for assessing intestinal inflammation in pediatric gastrointestinal ***,its role,pros,and cons in various conditions must be comprehensively *** To explore the role of fecal calprotectin in pediatric gastrointestinal diseases,including its advantages and *** A comprehensive search was conducted on PubMed,PubMed Central,Google Scholar,and other scientific research engines until February 24,*** review included 88 research articles,56 review articles,six metaanalyses,two systematic reviews,two consensus papers,and two letters to the *** Fecal calprotectin is a non-invasive marker for detecting intestinal inflammation and monitoring disease activity in pediatric conditions such as functional gastrointestinal disorders,inflammatory bowel disease,coeliac disease,coronavirus disease 2019-induced gastrointestinal disorders,gastroenteritis,and cystic fibrosis-associated intestinal ***,its lack of specificity and susceptibility to various confounding factors pose challenges in *** these limitations,fecal calprotectin offers significant advantages in diagnosing,monitoring,and managing pediatric gastrointestinal *** Fecal calprotectin holds promise as a valuable tool in pediatric gastroenterology,offering insights into disease activity,treatment response,and *** protocols and guidelines are needed to optimize its clinical utility and mitigate interpretation *** research is warranted to address the identified limitations and enhance our understanding of fecal calprotectin in pediatric gastrointestinal diseases.

关键词： Fecal calprotectin Pediatric gastrointestinal diseases Functional gastrointestinal disorders Inflammatory bowel disease Coeliac disease COVID-19-induced gastrointestinal disorders Infectious gastroenteritis Cystic fibrosis

Metabolomic changes in children with autism

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World Journal of Clinical Pediatrics 2024年第2期13卷 171-197页

作者： mohammed al-Beltagi Nermin Kamal Saeed Adel Salah Bediwy Reem Elbeltagi Department of Pediatric Faculty of MedicineTanta UniversityTanta 31511AlghrabiaEgypt Department of Pediatric University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671Bahrain Department of Pediatric University Medical CenterDr.Sulaiman Al Habib Medical GroupManamaBahrainManama 26671Bahrain Medical Microbiology Section Department of PathologySalmaniya Medical ComplexMinistry of HealthKingdom of BahrainManama 12Bahrain Medical Microbiology Section Department of PathologyIrish Royal College of SurgeonBahrainBusaiteen 15503MuharraqBahrain Department of Pulmonology Faculty of MedicineTanta UniversityTanta 31527AlghrabiaEgypt Department of Chest Disease University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671Bahrain Department of Chest Disease University Medical CenterDr.Sulaiman Al Habib Medical GroupManamaManama 26671Bahrain Department of Medicine The Royal College of Surgeons in Ireland-BahrainBusiateen 15503MuharraqBahrain

BACKGROUND Autism spectrum disorder(ASD)is a neurodevelopmental condition characterized by deficits in social communication and repetitive *** profiling has emerged as a valuable tool for understanding the underlying metabolic dysregulations associated with *** To comprehensively explore metabolomic changes in children with ASD,integrating findings from various research articles,reviews,systematic reviews,meta-analyses,case reports,editorials,and a book *** A systematic search was conducted in electronic databases,including PubMed,PubMed Central,Cochrane Library,Embase,Web of Science,CINAHL,Scopus,LISA,and NLM catalog up until January *** criteria encompassed research articles(83),review articles(145),meta-analyses(6),systematic reviews(6),case reports(2),editorials(2),and a book chapter(1)related to metabolomic changes in children with *** criteria were applied to ensure the relevance and quality of included *** The systematic review identified specific metabolites and metabolic pathways showing consistent differences in children with ASD compared to typically developing *** metabolic biomarkers may serve as objective measures to support clinical assessments,improve diagnostic accuracy,and inform personalized treatment *** profiling also offers insights into the metabolic alterations associated with comorbid conditions commonly observed in individuals with *** Integration of metabolomic changes in children with ASD holds promise for enhancing diagnostic accuracy,guiding personalized treatment approaches,monitoring treatment response,and improving *** research is needed to validate findings,establish standardized protocols,and overcome technical challenges in metabolomic *** advancing our understanding of metabolic dysregulations in ASD,clinicians can improve the lives of affected individuals and their families.

关键词： Autism spectrum disorder Metabolic dysregulations Metabolomic changes Children Mitochondrial dysfunction Oxidative stress Amino acids