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Machine Learning Prediction Models of Optimal Time for Aortic Valve Replacement in Asymptomatic Patients

Intelligent Automation & Soft Computing 2023年第7期37卷 455-470页

作者： salah alzghoul Othman Smadi Ali Al Bataineh Mamon Hatmal Ahmad Alamm Biomedical Engineering Department The Hashemite UniversityZarqaJordan Department of Electrical and Computer Engineering Norwich UniversityNorthfieldVermont05663USA Department of Biochemistry and Molecular Biology The Hashemite UniversityZarqaJordan National Centre for Big Data Science and Artificial Intelligence AmmanJordan

Currently,the decision of aortic valve replacement surgery time for asymptomatic patients with moderate-to-severe aortic stenosis(AS)is made by healthcare professionals based on the patient’s clinical biometric records.A delay in surgical aortic valve replacement(SAVR)can potentially affect patients’quality of *** using ML algorithms,this study aims to predict the optimal SAVR timing and determine the enhancement in moderate-to-severe AS patient survival following *** study represents a novel approach that has the potential to improve decision-making and,ultimately,improve patient *** analyze data from 176 patients with moderate-to-severe aortic stenosis who had undergone or were indicated for *** divide the data into two groups:those who died within the first year after SAVR and those who survived for more than one year or were still alive at the last *** then use six different ML algorithms,Support Vector Machine(SVM),Classification and Regression Tree(C and R tree),Generalized Linear(GL),Chi-Square Automatic Interaction Detector(CHAID),Artificial Neural Net-work(ANN),and Linear Regression(LR),to generate predictions for the best timing for *** results showed that the SVM algorithm is the best model for predicting the optimal timing for SAVR and for predicting the post-surgery survival *** optimizing the timing of SAVR surgery using the SVM algorithm,we observed a significant improvement in the survival period after *** study demonstrates that ML algorithms generate reliable models for predicting the optimal timing of SAVR in asymptomatic patients with moderate-to-severe AS.

关键词： Aortic stenosis aortic valve replacement machine learning survival period enhancement artificial intelligence in cardiology

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Optimised CNN Architectures for Handwritten Arabic Character Recognition

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Computers, Materials & Continua 2024年第6期79卷 4905-4924页

作者： salah Alghyaline Department of Computer Science TheWorld Islamic Sciences and Education UniversityAmman1101-11947Jordan

Handwritten character recognition is considered challenging compared with machine-printed characters due to the different human writing *** is morphologically rich,and its characters have a high *** Arabic language includes 28 *** character has up to four shapes according to its location in the word(at the beginning,middle,end,and isolated).This paper proposed 12 CNN architectures for recognizing handwritten Arabic *** proposed architectures were derived from the popular CNN architectures,such as VGG,ResNet,and Inception,to make them applicable to recognizing character-size *** experimental results on three well-known datasets showed that the proposed architectures significantly enhanced the recognition rate compared to the baseline *** experiments showed that data augmentation improved the models’accuracies on all tested *** proposed model outperformed most of the existing *** best achieved results were 93.05%,98.30%,and 96.88%on the HIJJA,AHCD,and AIA9K datasets.

关键词： Optical character recognition(OCR) handwritten arabic characters deep learning

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A Comprehensive Analysis of the Thermo-Chemical Properties of Sudanese Biomass for Sustainable Applications

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Journal of Renewable Materials 2024年第4期12卷 721-736页

作者： Wadah Mohammed Zeinab Osman salah Elarabi Bertrand Charrier Institute of Analytical Sciences and Physical-Chemistry for the Environment and Materials-Xylomat University of Pau and the Adour RegionE2S UPPACNRSIPREM-UMR 5254Mont de Marsan40004France Institute of Engineering Research and Materials Technology(IERMT) National Center for Research(NCR)Ministry of Higher Education and Scientific ResearchKhartoum11111Sudan Faculty of Industries Engineering and Technology University of GeziraGezira State21111Sudan

The chemical composition and thermal properties of natural fibers are the most critical variables that determine the overall properties of the fibers and influence their processing and use in different sustainable applications,such as their conversion into bioenergy and *** thermal and mechanical properties can be estimated by evaluating the content of cellulose,lignin,and other extractives in the *** this research work,the chemical composition and thermal properties of three fibers,namely bagasse,kenaf bast fibers,and cotton stalks,were evaluated to assess their potential utilization in producing biocomposites and bioenergy *** chemical composition analysis followed the Technical Association of the Pulp and Paper Industry Standards(TAPPI)*** total phenol content was quantified using the Folin-Ciocalteu method,while Fourier Transform Infrared Spectroscopy(FTIR)was employed to assess the light absorption by the *** evaluate thermal stability and higher heating values,Thermogravimetric Analysis(TGA),Differential Scanning Calorimetry(DSC),and bomb calorimetry were *** chemical analysis revealed that bagasse contained 50.6%cellulose and 21.6%lignin,kenaf bast fibers had 58.5%cellulose and 10%lignin,and cotton stalks exhibited 40.3%cellulose and 21.3%*** FTIR curves demonstrated a notable similarity among the *** TGA analysis showed degradation temperatures of 321°C for bagasse,354°C for kenaf bast fibers,and 289°C for cotton *** DSC analysis revealed glass transition temperatures of 81°C for bagasse,66.3°C for cotton stalks,and 64.5°C for kenaf bast *** higher heating values were measured as 17.3,16.6 and 17.1 MJ/kg for bagasse,kenaf bast fibers,and cotton stalks,*** three fibers have a high potential for biocomposites and bioenergy material manufacturing.

关键词： Bagasse kenaf bast fibers cotton stalks TGA DSC FTIR

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Comparison between seismic analysis of twisting and regular 52-story towers considering soil-structure interaction

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Earthquake Engineering and Engineering Vibration 2024年第3期23卷 663-675页

作者： Mohamed Naguib Abouelsaad Mohammed Shaaban salah El Bagalaty Mohamed E.El Madawy Structural Engineering Department Faculty of EngineeringMansura UniversityMansoura 35511Egypt Faculty of Engineering Delta University for Science and TechnologyGamasa 35712Egypt

A dynamic analysis of both twisting and regular towers is carried out to determine the results of considering soil-structure interaction(SSI)on high-rise *** addition,the difference between the seismic performance of using twisting towers over regular ones is *** twisting tower is a simulation of the Evolution Tower(Moscow).The towers’skeletons consist of RC elements and rest on a reinforced concrete piled-raft *** soil model is considered as multi-layered with the same soil properties as the zone chosen for the analysis(New Mansoura City,Egypt).The only difference between both towers is their shape in *** whole system is modelled and analyzed in a single step as one full 3D model,which is known as the direct approach in *** analyses are carried out using finite-element software(Midas GTS NX).Dynamic output responses due to three records of seismic loads are proposed and presented in some *** on the results,it is concluded that SSI has a considerable effect on the dynamic response of tall buildings mainly because of the foundation flexibility,as it leads to lengthening the vibration period,increasing the story drift and the base shear for both cases.

关键词： soil-structure interaction seismic analysis twisting towers base shear story drift finite element method Midas GTS NX

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Modeling the dynamical behavior of the interaction of T-cells and human immunodeficiency virus with saturated incidence

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Communications in Theoretical Physics 2024年第3期76卷 1-14页

作者： salah Boulaaras Rashid Jan Amin Khan Ali Allahem Imtiaz Ahmad Salma Bahramand Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia Institute of Energy Infrastructure(IEI) Department of Civil EngineeringCollege of EngineeringUniversiti Tenaga Nasional(UNITEN)Putrajaya CampusJalan IKRAM-UNITEN43000 KajangSelangorMalaysia Department of Mathematics University of SwabiSwabi 23561Pakistan Department of Mathematics College of SciencesQassim UniversitySaudi Arabia Institute of Informatics and Computing in Energy(IICE) Universiti Tenaga NasionalKajangSelangorMalaysia Department of Political Science Bacha Khan University CharsaddaCharsadda 24420KPK Pakistan

In the last forty years,the rise of HIV has undoubtedly become a major concern in the field of public health,imposing significant economic burdens on affected ***,it becomes imperative to undertake comprehensive investigations into the mechanisms governing the dissemination of HIV within the human *** this work,we have devised a mathematical model that elucidates the intricate interplay between CD4^(+)T-cells and viruses of HIV,employing the principles of fractional *** production rate of CD4^(+)T-cells,like other immune cells depends on certain factors such as age,health status,and the presence of infections or ***,we incorporate a variable source term in the dynamics of HIV infection with a saturated incidence rate to enhance the precision of our *** introduce the fundamental concepts of fractional operators as a means of scrutinizing the proposed HIV *** facilitate a deeper understanding of our system,we present an iterative scheme that elucidates the trajectories of the solution pathways of the *** show the time series analysis of our model through numerical findings to conceptualize and understand the key factors of the *** addition to this,we present the phase portrait and the oscillatory behavior of the system with the variation of different input *** information can be utilized to predict the long-term behavior of the system,including whether it will converge to a steady state or exhibit periodic or chaotic oscillations.

关键词： HIV infection fractional-calculus dynamics of HIV iterative scheme dynamical behaviour mathematical model fractional derivatives

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Exploring public perception and willingness to pay for a renewable source of energy: evidence from an emerging economy of renewable-energy development

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CLEAN ENERGY 2024年第2期8卷 177-188页

作者： Bashir, Mohammed J. K. Abdelhak, Senadjki salah, Wael A. Abuhelwa, Mai Cent Queensland Univ Sch Engn & Technol 120 Spencer St Melbourne Qld 3000 Australia Univ Tunku Abdul Rahman Fac Business & Finance Kampar Perak Malaysia Palestine Tech Univ Kadoorie Coll Engn & Technol Dept Elect Engn POB 7 Yafa St Tulkarm Palestine Univ Missouri Dept Elect Engn & Comp Sci Columbia MO 65211 USA

The study focuses on the transition from conventional energy sources to sustainable renewable energy (RE) in Palestine, particularly in the West Bank and Gaza Strip. The research aims to understand the relationship between key factors and residents' willingness to invest in the RE sector, with a specific focus on the impact of education. Using the unified theory of acceptance and use of technology, the study analyzes data from 400 residents through a questionnaire and employs ordinary least-squares regression analysis with Eviews 12. The key findings indicate that residents' inclination to invest in RE is significantly influenced by factors such as resource availability, knowledge level and power outages. Moreover, the study suggests that educated residents are more likely to invest in RE when factors such as knowledge, effort expectation, enabling conditions and resource availability are relatively high. The conclusion emphasizes the importance of policymakers' allocating sufficient funds to research and development to promote technological innovation in RE sources, thereby enhancing the population's energy efficiency. The study focuses on the transition from conventional energy to sustainable renewable energy in Palestine, particularly in the West Bank and Gaza Strip, to understand the relationship between key factors and residents' willingness to invest in the RE sector, with a specific focus on the impact of education. Graphical Abstract

关键词： renewable energy technology energy security public perceptions sustainable development UNIFIED THEORY RURAL-AREAS TECHNOLOGY ACCEPTANCE DETERMINANTS INTENTION RELIABILITY SERVICES SYSTEM ERRORS

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Efficient processed carbon Soot@MoS2 hybrid Bi-functional electrode for dye-sensitized solar cell and asymmetric supercapacitor devices

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Nano Materials Science 2024年第4期6卷 484-494页

作者： B.Arjun Kumar Gopal Ramalingam salah Addin Burhan Al Omari Zhumabay Bakenov Sambasivam Sangaraju Sangarapani Sudhakar Quantum Material Research Lab (QMRL) Department of Nanoscience and TechnologyAlagappa University Department of Mechanical and Aerospace Engineering United Arab Emirates University Department of Chemical and Materials Engineering Nazarbayev University National Water and Energy Center United Arab Emirates University Department of Physics Alagappa University

A feasible approach to rectify the world's energy demand using sustainable development of adequate energy generation and storage technologies in a single *** this respect,we made a holistic approach with a bifunctional electrode material to perform effectively in energy generation and storage ***2nanosheets were produced by the eco-friendly method and reduced graphene oxide is used to prepared by carbon soot which is derived from castor *** prepared soot and rGO were combined with MoS2nanosheets using a simple sonication *** as-prepared sample was introduced in the supercapacitor and DSSC *** combination MoS2@rGO provides an enhanced conversion efficiency of 11.81%and the reproducibility of DSSC is also ***,MoS2@rGO is used to fabricate an asymmetric supercapacitor to investigate its real-time *** device produced the maximum power density （1666.6 mW/kg） and energy density （25.69 mWh/Kg） at 1 A/*** asymmetric supercapacitor device holds a cyclic stability of 81.4%for 5000 cycles and it powered up an LED device for 4 min.

关键词： Carbon soot Solar cells Supercapacitors MoS 2 DSSC

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Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow

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工程与科学中的计算机建模(英文) 2024年第1期138卷 1-41页

作者： Baydaa Abdul Kareem salah L.Zubaidi Nadhir Al-Ansari Yousif Raad Muhsen Department of Civil Engineering University of MaysanMaysan57000Iraq Department of Civil Engineering Wasit UniversityWasit52001Iraq College of Engineering University ofWarith Al-AnbiyaaKarbala56001Iraq Department of Civil Environmental and Natural Resources Engineering Lulea University of TechnologyLulea97187Sweden Department of Computer Science Faculty of Computer Science and Information TechnologyUniversiti Putra MalaysiaSerdang43400Malaysia

Forecasting river flow is crucial for optimal planning,management,and sustainability using freshwater *** machine learning(ML)approaches have been enhanced to improve streamflow *** techniques have been viewed as a viable method for enhancing the accuracy of univariate streamflow estimation when compared to standalone *** researchers have also emphasised using hybrid models to improve forecast ***,this paper conducts an updated literature review of applications of hybrid models in estimating streamflow over the last five years,summarising data preprocessing,univariate machine learning modelling strategy,advantages and disadvantages of standalone ML techniques,hybrid models,and performance *** study focuses on two types of hybrid models:parameter optimisation-based hybrid models(OBH)and hybridisation of parameter optimisation-based and preprocessing-based hybridmodels(HOPH).Overall,this research supports the idea thatmeta-heuristic approaches precisely improveML ***’s also one of the first efforts to comprehensively examine the efficiency of various meta-heuristic approaches(classified into four primary classes)hybridised with ML *** study revealed that previous research applied swarm,evolutionary,physics,and hybrid metaheuristics with 77%,61%,12%,and 12%,***,there is still room for improving OBH and HOPH models by examining different data pre-processing techniques and metaheuristic algorithms.

关键词： Univariate streamflow machine learning hybrid model data pre-processing performance metrics

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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

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The future of competitive advantage in Oman: Integrating green product innovation, Al, and intellectual capital in business strategies

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International Journal of Innovation Studies 2024年第2期8卷 154-171页

作者： Fadi Abdelfattah Mohammed salah Khalid Dahleez Riyad Darwazeh Hussam Al Halbusi Modern College of Business and Science(MCBS) MuscatOman Dean College of Business Administration A'Sharqiyah UniversityIbraOman Head of Accounting Department Business SchoolAl-Ahliya Amman UniversityAmmanJordan Management Department Ahmed Bin Mohammed Military College(ABMMC)DohaQatar

This study delves into the dynamics of green product innovation,artificial intelligence(Al)adaption,and intellectual capital,investigating their impact on the competitiveness of firms in *** emphasizes the crucial role of government intervention and R&D investments in this *** on the responses of 214 top managers in Oman,the research employs structural equation modeling to analyze the intricate relationships between these *** findings underscore a significant positive correlation between green innovation,Al implementation,and intellectual capital,with government involvement and R&D investments as vital *** study provides a novel perspective on the synergy of technology,innovation,and intellectual capital in developing *** offers essential insights for business leaders,policymakers,and scholars,highlighting the necessity of integrating advanced technologies and sustainable practices in business strategies to achieve competitive *** research adds to the existing body of knowledge on innovation and *** offers practical implications for enhancing firm performance in Oman and similar emerging markets.

关键词： Green product innovation R&D investments AI adoption Intellectual capital Government involvement Knowledge-driven culture Oman

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