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Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

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Computer modeling in Engineering & Sciences 2024年第10期141卷 525-543页

作者： mohamed Abdel-mongy mudassir Iqbal m.Farag Ahmed.m.Yosri fahad alsharari Saif Eldeen A.S.Yousef Department of Civil Engineering College of EngineeringJouf UniversitySakaka72388Saudi Arabia Department of Civil Engineering University of Engineering and TechnologyPeshawar54890Pakistan Civil Engineering Department Faculty of EngineeringAl-Azhar UniversityCairo11884Egypt Civil Engineering Department Faculty of EngineeringAswan UniversityAswan81528Egypt

alkali-activated materials/geopolymer(AAms),due to their low carbon emission content,have been the focus of recent studies on ecological *** terms of performance,fly ash and slag are preferredmaterials for precursors for developing a one-part ***,determining the optimum content of the input parameters to obtain adequate performance is quite challenging and scarcely ***,in this study,machine learning methods such as artificial neural networks(ANN)and gene expression programming(GEP)models were developed usingmATLAB and GeneXprotools,respectively,for the prediction of compressive strength under variable input materials and content for fly ash and slag-based one-part *** database for this study contains 171 points extracted from literature with input parameters:fly ash concentration,slag content,calcium hydroxide content,sodium oxide dose,water binder ratio,and curing *** performance of the two models was evaluated under various statistical indices,namely correlation coefficient(R),mean absolute error(mAE),and rootmean square error(RmSE).In terms of the strength prediction efficacy of a one-part geopolymer,ANN outperformed *** and parametric analysis were also performed to identify the significant contributor to *** to a sensitivity analysis,the activator and slag contents had the most effects on the compressive strength at 28 *** water binder ratio was shown to be directly connected to activator percentage,slag percentage,and calcium hydroxide percentage and inversely related to compressive strength at 28 days and curing temperature.

关键词： Artificial intelligence techniques one-part geopolymer artificial neural network gene expression modelling sustainable construction polymers

Exploring the genetic control of sweat gland characteristics in beef cattle for enhanced heat tolerance

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Journal of Animal Science and Biotechnology 2024年第5期15卷 1820-1831页

作者： Aakilah S.Hernandez Gabriel A.Zayas Eduardo E.Rodriguez Kaitlyn m.Sarlo Davila fahad Rafiq Andrea N.Nunez Cristiane Goncalves Titto Raluca G.mateescu Department of Animal Science North Carolina State UniversityRaleighNCUSA Department of Animal Sciences University of FloridaGainesvilleFLUSA. Ruminant Diseases and Immunology Research Unit National Animal Disease CentersUnited States Department of Agriculture1920 Dayton AvenueAmesIA 50010USA. Department of Animal Science Iowa StateAmesIAUSA School of Animal Sciences and Food Engineering University of Sao PauloAv Duque de Caxias Norte 225PirassunungaSao Paulo 13635‑900Brazil

Background Thermal stress in subtropical regions is a major limiting factor in beef cattle production systems with around$369 million being lost annually due to reduced *** stress causes numerous physiological and behavioral disturbances including reduced feed intake and decreased production *** utilize various physiological mechanisms such as sweating to regulate internal *** in these traits can help identify genetic variants that control sweat gland properties and subsequently allow for genetic selection of cattle with greater *** This study used 2,401 Brangus cattle from two commercial ranches in *** phenotypes that contribute to an animal's ability to manage heat stress were calculated from skin biopsies and included sweat gland area,sweat gland depth,and sweat gland *** animals were genotyped with the Bovine GGP F250K,and BLUPF90 software was used to estimate genetic parameters and for Genome Wide Association *** Sweat gland phenotypes heritability ranged from 0.17 to 0.42 indicating a moderate amount of the phenotypic variation is due to genetics,allowing producers the ability to select for favorable sweat gland properties.A weighted single-step GWAS using sliding 10 kb windows identified multiple quantitative trait loci(QTLs)explaining a significant amount of genetic *** located on BTA7 and BTA12 explained over 1.0%of genetic variance and overlap the ADGRV1 and CCDC168 genes,*** variants identified in this study are implicated in processes related to immune function and cellular proliferation which could be relevant to heat *** of Origin alleles(BOA)were predicted using local ancestry in admixed populations(LAmP-LD),allowing for identification of markers'origin from either Brahman or Angus ancestry.A BOA GWAS was performed to identify regions inherited from particular ancestral breeds that might have a significant impact on sweat gland pheno

关键词： GWAS Heritability Skin Thermotolerance

Potential Benefits and Obstacles of the Use of Internet of Things in Saudi Universities: Empirical Study

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Advances in Internet of Things 2024年第1期14卷 1-20页

作者： Najmah Adel Fallatah fahad mahmoud Ghabban Omair Ameerbakhsh Ibrahim alfadli Wael Ghazy alheadary Salem Sulaiman alatawi Ashwaq Hasen al-Shehri College of Computer Science and Engineering Taibah University Madinah Saudi Arabia ministry of Education in al-madinah al-munawwarah Region Madinah Saudi Arabia

Internet of Things (IoT) among of all the technology revolutions has been considered the next evolution of the internet. IoT has become a far more popular area in the computing world. IoT combined a huge number of things (devices) that can be connected through the internet. The purpose: this paper aims to explore the concept of the Internet of Things (IoT) generally and outline the main definitions of IoT. The paper also aims to examine and discuss the obstacles and potential benefits of IoT in Saudi universities. methodology: the researchers reviewed the previous literature and focused on several databases to use the recent studies and research related to the IoT. Then, the researchers also used quantitative methodology to examine the factors affecting the obstacles and potential benefits of IoT. The data were collected by using a questionnaire distributed online among academic staff and a total of 150 participants completed the survey. Finding: the result of this study reveals there are twelve factors that affect the potential benefits of using IoT such as reducing human errors, increasing business income and worker’s productivity. It also shows the eighteen factors which affect obstacles the IoT use, for example sensors’ cost, data privacy, and data security. These factors have the most influence on using IoT in Saudi universities.

关键词： Internet of Things (IoT) m2m Factors Obstacles Potential Benefits Universities

mental health status among COVID-19 patients survivors of critical illness in Saudi Arabia:A 6-month follow-up questionnaire study

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World Journal of Clinical Cases 2024年第15期12卷 2560-2567页

作者： Abdullah m alhammad Namareq F aldardeer Abdulaziz alqahtani mohammad H aljawadi Bushra alnefaie Raghad alonazi mansour almuqbil Abdulrahman alsaadon Rakan m alqahtani Rashid alballaa Bader alshehri mohammed I alarifi fahad D alosaimi Department of Clinical Pharmacy College of PharmacyKing Saud UniversityRiyadh 12372Saudi Arabia Department of Pharmacy Services King Faisal Specialist Hospital and Research CentreJeddah 21499Saudi Arabia Corporate Department of Pharmacy Services King Saud University Medical CityRiyadh 12372Saudi Arabia College of Pharmacy King Saud UniversityRiyadh 12372Saudi Arabia Department of Critical Care medicine College of MedicineKing Saud UniversityRiyadh 12372Saudi Arabia Department of Psychiatry College of MedicineKing Saud UniversityRiyadh 12372Saudi Arabia

BACKGROUND Psychological assessment after intensive care unit(ICU)discharge is increasingly used to assess patients'cognitive and psychological ***,few studies have examined those who recovered from coronavirus disease 2019(COVID-19).There is a paucity of data from the middle East assessing the post-ICU discharge mental health status of patients who had *** To evaluate anxiety and depression among patients who had severe *** This is a prospective single-center follow-up questionnaire-based study of adults who were admitted to the ICU or under ICU consultation for>24 h for *** patients were contacted via *** patient’s anxiety and depression six months after ICU discharge were assessed using the Hospital Anxiety and Depression Scale(HADS).The primary outcome was the mean HADS *** secondary outcomes were risk factors of anxiety and/or *** Patients who were admitted to the ICU because of COVID-19 were screened(n=518).Of these,48 completed the *** mean age was 56.3±17.2 *** patients(62.5%)were *** main comorbidities were endocrine(n=24,50%)and cardiovascular(n=21,43.8%)*** mean overall HADS score for anxiety and depression at 6 months post-ICU discharge was 11.4(SD±8.5).A HADS score of>7 for anxiety and depression was detected in 15 patients(30%)and 18 patients(36%),*** from the multivariable ordered logistic regression demonstrated that vasopressor use was associated with the development of anxiety and depression[odds ratio(OR)39.06,95% confidence interval:1.309-1165.8;Pmonths after ICU discharge,30% of patients who had COVID-19 demonstrated a HADS score that confirmed anxiety and *** compare the psychological status of patients following an ICU admission(with vs without COVID-19),further studies are warranted.

关键词： COVID-19 Critically ill Anxiety Depression HADS Saudi Arabia

Adherence to Advisory Committee on Immunization Practices in diabetes mellitus patients in Saudi Arabia:A multicenter retrospective study

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World Journal of Diabetes 2024年第3期15卷 440-454页

作者： Saleh fahad alqifari Aya K Esmail Dalal m alarifi Ghalya Y alsuliman maram m alhati may R mutlaq mohammed aldhaeefi Shaden A alshuaibi Palanisamy Amirthalingam Abrar Abdallah Afaf S Wasel Heba R Hamad Shoroq alamin Tasneem H Atia Tariq alqahtani Department of Pharmacy Practice University of TabukTabuk 71491Saudi Arabia Department of Clinical Sciences Sulaiman Alrajhi UniversityQassim 52726Saudi Arabia Department of Family medicine International Medical CenterJeddah 23214Saudi Arabia Clinical and Administrative Pharmacy Sciences College of PharmacyHoward UniversityWashingtonDC 20059United States Department of Pharmacology King Saud Bin Abdulaziz University for Health SciencesKing Abdullah International Medical Research CenterRiyadh 11481Saudi Arabia

BACKGROUND Patients with diabetes mellitus(Dm)are predisposed to an increased risk of infection signifying the importance of vaccination to protect against its potentially severe *** Centers for Disease Control and Prevention/Advisory Committee on Immunization Practices(CDC/ACIP)issued immunization recommendations to protect this patient *** To assess the adherence of patients with Dm to the CDC/ACIP immunization recommendations in Saudi Arabia and to identify the factors associated with the vaccine adherence *** An observational retrospective study conducted in 2023 was used to collect data on the vaccination records from 13 diabetes care centers in Saudi Arabia with 1000 eligible patients in phase I with data collected through chart review and 709 patients in phase II through online *** Among participants,10.01%(n=71)had never received any vaccine,while 85.89%(n=609)received at least one dose of the coronavirus disease 2019(COVID-19)vaccine,and 34.83%(n=247)had received the annual influenza *** 2.96%(n=21),2.11%(n=15),and 1.12%(n=8)received herpes zoster,tetanus,diphtheria,and pertussis(Tdap),and human papillomavirus(HPV)vaccines,*** patients with Dm in Saudi Arabia,the rate of vaccination for annual influenza and COVID-19 vaccines was higher compared to other vaccinations such as herpes zoster,Tdap,pneumococcal,and *** such as vaccine recommendations provided by family physicians or specialists,site of care,income level,Dm-related hospitalization history,residency site,hemoglobin A1c(HbA1c)level,and health sector type can significantly influence the vaccination rate in patients with *** non-vaccinated patients with Dm,the most reported barriers were lack of knowledge and fear of side *** signifies the need for large-scale research in this area to identify additional factors that might facilitate adherence to CDC/ACIP vaccine recommendations in patients with *** In S

关键词： Diabetes mellitus Vaccine recommendation COVID-19 vaccine Influenza vaccine Pneumococcal vaccine Immunization Retrospective study

Numerical modeling and Technico-Economic Analysis of a Hybrid Energy Production System for Self-Consumption: Case of Rural Area in the Comoros

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Journal of Power and Energy Engineering 2024年第5期12卷 24-59页

作者： fahad maoulida mohamed Aboudou Kassim Rabah Djedjig Ahmed Ihlal mohammed El Ganaoui LERmAB Laboratory of Studies and Research on Wood Material IUT of Longwy University of Lorraine Cosnes-et-Romain Longwy France LEmA Energy and Applied Mechanics Laboratory Faculty of Sciences and Techniques University of Comoros Moroni Comoros IREmIS Institute University of Mayotte Mayotte France LmER Laboratory of Materials and Renewable Faculty of Sciences University Ibn Zohr BP Agadir Morocco

This study aims to provide electricity to a remote village in the Union of Comoros that has been affected by energy problems for over 40 years. The study uses a 50 kW diesel generator, a 10 kW wind turbine, 1500 kW photovoltaic solar panels, a converter, and storage batteries as the proposed sources. The main objective of this study is to conduct a detailed analysis and optimization of a hybrid diesel and renewable energy system to meet the electricity demand of a remote area village of 800 to 1500 inhabitants located in the north of Ngazidja Island in Comoros. The study uses the Hybrid Optimization model for Electric Renewable (HOmER) Pro to conduct simulations and optimize the analysis using meteorological data from Comoros. The results show that hybrid combination is more profitable in terms of margin on economic cost with a less expensive investment. With a diesel cost of $1/L, an average wind speed of 5.09 m/s and a solar irradiation value of 6.14 kWh/m2/day, the system works well with a proportion of renewable energy production of 99.44% with an emission quantity of 1311.407 kg/year. 99.2% of the production comes from renewable sources with an estimated energy surplus of 2,125,344 kWh/year with the cost of electricity (COE) estimated at $0.18/kWh, presenting a cost-effective alternative compared to current market rates. These results present better optimization of the used hybrid energy system, satisfying energy demand and reducing the environmental impact.

关键词： Hybrid System Rural Area Electrification Comoros Techno-Economic Analysis PV-Wind-Diesel-Battery meteorological Data HOmER Energy Pro

Extracellular vesicles as tools and targets in therapy for diseases

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Signal Transduction and Targeted Therapy 2024年第3期9卷 872-912页

作者： mudasir A.Kumar Sadaf K.Baba Hana Q.Sadida Sara al.marzooqi Jayakumar Jerobin Faisal H.altemani Naseh algehainy mohammad A.alanazi Abdul-Badi Abou-Samra Rakesh Kumar Ammira S.al-Shabeeb Akil muzafar A.macha Rashid mir Ajaz A.Bhat Watson-Crick Centre for molecular medicine Islamic University of Science and TechnologyAwantiporaKashmir 192122India Department of Human Genetics-Precision medicine in Diabetes Obesity and Cancer ProgramSidra MedicineDohaQatar Qatar metabolic Institute Academic Health SystemHamad Medical CorporationDohaQatar Department of medical Laboratory Technology Prince Fahad Bin Sultan Chair for Biomedical ResearchFaculty of Applied Medical SciencesUniversity of TabukTabukSaudi Arabia School of Biotechnology Shri Mata Vaishno Devi UniversityKatraIndia

Extracellular vesicles(EVs)are nano-sized,membranous structures secreted into the extracellular *** exhibit diverse sizes,contents,and surface markers and are ubiquitously released from cells under normal and pathological *** serum is a rich source of these EVs,though their isolation from serum proteins and non-EV lipid particles poses *** vesicles transport various cellular components such as proteins,mRNAs,miRNAs,DNA,and lipids across distances,influencing numerous physiological and pathological events,including those within the tumor microenvironment(TmE).Their pivotal roles in cellular communication make EVs promising candidates for therapeutic agents,drug delivery systems,and disease *** in cancer diagnostics,EV detection can pave the way for early identification and offers potential as diagnostic ***,various EV subtypes are emerging as targeted drug delivery tools,highlighting their potential clinical *** need for non-invasive biomarkers to monitor biological processes for diagnostic and therapeutic purposes remains *** into the unique composition of EVs could unlock advanced diagnostic and therapeutic avenues in the *** this review,we discuss in detail the roles of EVs across various conditions,including cancers(encompassing head and neck,lung,gastric,breast,and hepatocellular carcinoma),neurodegenerative disorders,diabetes,viral infections,autoimmune and renal diseases,emphasizing the potential advancements in molecular diagnostics and drug delivery.

关键词： diseases sized sizes

Effects of a low-radiotoxicity uranium salt(uranyl acetate) on biochemical and hematological parameters of the catfish,Clarias gariepinus

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Chinese Journal of Oceanology and Limnology 2016年第1期34卷 109-117页

作者： Khalid.A.al-GHANIm Zubair AHmAD Hmoud F.al-Kahem al-BalAWI fahad al-m.sned Shahid mABOOB El-Amin m.SULImAN Department of Zoology College of ScienceP.O.Box 2455King Saud University

Specimens of Clarias gariepinus were treated with lethal(70,75,80,85,90,and 95 mg/L) and sub-lethal concentrations(8,12 and 16 mg/L) of uranyl acetate,a low-radiotoxicity uranium salt. The LC 50 value was registered as 81.45 mg/L. The protein and glycogen concentrations in liver and muscles were decreased in the fish exposed to sub-lethal concentrations. The red blood cell(RBC) and white blood cell(WBC) counts,haemoglobin(Hb) concentration and haematocrit(Hct) values were decreased. Different blood indices like mean corpuscular volume(mCV),mean corpuscular haemoglobin(mCH) and mean corpuscular haemoglobin concentration(mCHC) were negatively affected. Level of plasma glucose was elevated whereas protein was decreased. The level of calcium concentration(Ca) was declined in the blood of exposed fish whereas magnesium(mg) remains unchanged. The activity level of glutamic-oxaloacetic transaminase(GOT) and glutamic-pyruvic transaminase(GPT) was elevated in exposed fish. These effects were more pronounced in the last period of exposure and in higher concentrations. Results of the present study indicate that uranyl acetate has adverse effects on C larias gariepinus and causes changes in the biochemical and hematological parameters of the fish.

关键词： Clarias gariepinus uranyl acetate sub-lethal concentration biochemical and haematological parameters

Detection of Different Stages of alzheimer’s Disease Using CNN Classifier

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Computers, materials & Continua 2023年第9期76卷 3933-3948页

作者： S m Hasan mahmud md mamun ali mohammad Fahim Shahriar fahad Ahmed al-Zahrani Kawsar Ahmed Dip Nandi Francis m.Bui Department of Computer Science American International University-Bangladesh(AIUB)Dhaka1229Bangladesh Centre for Advanced machine Learning and Applications(CAmLAs) DhakaBangladesh Department of Software Engineering Daffodil International UniversityDhakaBangladesh Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia Department of ECE University of SaskatchewanSaskatoonSK S7N5A9Canada Group of Biophotomatiχ Department of ICTMBSTUSantoshTangail1902Bangladesh

alzheimer’s disease(AD)is a neurodevelopmental impairment that results in a person’s behavior,thinking,and memory *** common symptoms ofADare losingmemory and early *** addition to these,there are several serious impacts ***,the impact ofADcanbemitigatedby early-stagedetection though it cannot be cured ***-stage detection is the most challenging task for controlling and mitigating the impact of *** study proposes a predictive model to detect AD in the initial phase based on machine learning and a deep learning approach to address the *** build a predictive model,open-source data was collected where five stages of images of AD were available as Cognitive Normal(CN),Early mild Cognitive Impairment(EmCI),mild Cognitive Impairment(mCI),Late mild Cognitive Impairment(LmCI),and *** stage of AD is considered as a class,and then the dataset was divided into three parts binary class,three class,and five *** this research,we applied different preprocessing steps with augmentation techniques to efficiently *** integrates a random oversampling technique to handle the imbalance problem from target classes,mitigating the model overfitting and *** three machine learning classifiers,such as random forest(RF),K-Nearest neighbor(KNN),and support vector machine(SVm),and two deep learning methods,such as convolutional neuronal network(CNN)and artificial neural network(ANN)were applied on these *** analyzing the performance of the used models and the datasets,it is found that CNN with binary class outperformed 88.20%*** result of the study indicates that the model is highly potential to detect AD in the initial phase.

关键词： alzheimer’s disease early detection convolutional neural network data augmentation random oversampling machine learning