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Modeling a General Equation for Pool Boiling Heat Transfer

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Advances in Chemical Engineering and Science 2013年第4期3卷 294-303页

作者： mohammed salah hameed Abdul Rahman Khan A. A. Mahdi Chemical Engineering Department Higher Colleges of Technology Abu Dhabi United Arab Emirates

It is recognized that the nucleate pool boiling data available in literature are mainly related to four known correlations, each differs from the other by a varying magnitude of constant coefficients, depending on restrictive experimental conditions. The present work is concerned in developing an empirically generalized correlation, which covers the entire range of nucleate boiling with a minimum possible deviation from experimental data. The least squares multiple regression technique is used to evaluate the best coefficient value used in the correlations. An empirical correlation that fits a broader scope of available data has been developed by a non-linear solution technique leading to the following equation: where the coefficients R1 and R3 both represent the effect of surface-liquid combination. They are assessed independently for the used surface material and liquid.

关键词： Pool Boiling Nucleate Boiling Linear and Non-Linear Technique Methods Heat Transfer

An End-to-End Transformer-Based Automatic Speech Recognition for Qur’an Reciters

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Computers, Materials & Continua 2023年第2期74卷 3471-3487页

作者： mohammed Hadwan Hamzah A.Alsayadi salah AL-Hagree Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaiz6803Yemen Computer Science Department Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Computer Science Department Faculty of SciencesIbb UniversityYemen Department of Computer Sciences&Information Ibb UniversityYemen

The attention-based encoder-decoder technique,known as the trans-former,is used to enhance the performance of end-to-end automatic speech recognition(ASR).This research focuses on applying ASR end-toend transformer-based models for the Arabic language,as the researchers’community pays little attention to *** Muslims Holy Qur’an book is written using Arabic diacritized *** this paper,an end-to-end transformer model to building a robust Qur’an *** is *** acoustic model was built using the transformer-based model as deep learning by the PyTorch framework.A multi-head attention mechanism is utilized to represent the encoder and decoder in the acoustic *** filter bank is used for feature *** build a language model(LM),the Recurrent Neural Network(RNN)and Long short-term memory(LSTM)were used to train an n-gram word-based *** a part of this research,a new dataset of Qur’an verses and their associated transcripts were collected and processed for training and evaluating the proposed model,consisting of 10 h *** recitations performed by 60 *** experimental results showed that the proposed end-to-end transformer-based model achieved a significant low character error rate(CER)of 1.98%and a word error rate(WER)of 6.16%.We have achieved state-of-the-art end-to-end transformer-based recognition for Qur’an reciters.

关键词： Attention-based encoder-decoder recurrent neural network long short-term memory qur’an reciters recognition diacritized arabic text

Effective participation of wind turbines in frequency control of a two-area power system using coot optimization

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Protection and Control of Modern Power Systems 2023年第1期8卷 230-244页

作者： Mahmoud Hussain El-Bahay mohammed Elsayed Lotfy Mohamed A.El-hameed Electrical Power and Machines Department Faculty of EngineeringZagazig UniversityZagazig 44519Egypt ECEN Department Faculty of EngineeringA’Sharqiyah University400 IbraOman

In this paper,load frequency control is performed for a two-area power system incorporating a high penetration of renewable energy sources.A droop controller for a type 3 wind turbine is used to extract the stored kinetic energy from the rotating masses during sudden load *** auxiliary storage controller is applied to achieve effec-tive frequency *** coot optimization algorithm(COA)is applied to allocate the optimum parameters of the fractional-order proportional integral derivative(FOPID),droop and auxiliary storage *** fitness function is represented by the summation of integral square deviations in tie line power,and Areas 1 and 2 frequency *** robustness of the COA is proven by comparing the results with benchmarked optimizers including:atomic orbital search,honey badger algorithm,water cycle algorithm and particle swarm *** assessment is confirmed in the following four scenarios:(i)optimization while including PID controllers;(ii)optimization while including FOPID controllers;(iii)validation of COA results under various load disturbances;and(iv)validation of the proposed controllers under varying weather conditions.

关键词： Coot optimizer FOPID Load frequency control Photovoltaic Variable speed wind turbine

AN ASYMPTOTIC BEHAVIOR AND A POSTERIORI ERROR ESTIMATES FOR THE GENERALIZED SCHWARTZ METHOD OF ADVECTION-DIFFUSION EQUATION

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Acta Mathematica Scientia 2018年第4期38卷 1227-1244页

作者： salah BOULAARAS mohammed Said TOUATI BRAHIM Smail BOUZENADA Abderrahmane ZARAI Department of Mathematics College of Sciences and Arts Al-Ras Qassim University Kingdom of Saudi Arabia Laboratory of Fundamental and Applied Mathematics of Oran (LMFAO) University of Oran 1 Ahmed Benbella Oran Algeria Department of Mathematics and Computer Science Larbi Tebessi University 12002 Tebessa Algeria

In this paper, a posteriori error estimates for the generalized Schwartz method with Dirichlet boundary conditions on the interfaces for advection-diffusion equation with second order boundary value problems are proved by using the Euler time scheme combined with Galerkin spatial method. Furthermore, an asymptotic behavior in Sobolev norm is de- duced using Benssoussau-Lions＇ algorithm. Finally, the results of some numerical experiments are presented to support the theory.

关键词： a posteriori error estimates GODDM advection-diffusion Galerkin method Benssoussan-Lions' algorithm

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

Diabetes-inducing effects of bronchial asthma

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World Journal of Diabetes 2025年第1期16卷 121-139页

作者： mohammed Al-Beltagi Adel salah Bediwy Nermin Kamal Saeed Hosameldin A Bediwy Reem Elbeltagi Department of Pediatric Faculty of MedicineTanta UniversityTanta 31511AlghrabiaEgypt Department of Pediatric University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671ManamaBahrain Department of Pulmonology Faculty of MedicineTanta UniversityTanta 31527AlghrabiaEgypt Department of Pulmonology University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671ManamaBahrain Medical Microbiology Section Department of PathologySalmaniya Medical ComplexMinistry of HealthKingdom of BahrainManama 26671ManamaBahrain Medical Microbiology Section Department of PathologyIrish Royal College of SurgeonBusaiteen 15503MuharraqBahrain Faculty of Medicine Tanta UniversityTanta 31527AlgharbiaEgypt Department of Medicine The Royal College of Surgeons in Ireland-BahrainBusiateen 15503MuharraqBahrain

BACKGROUND The relationship between diabetes mellitus(DM)and asthma is complex and can impact disease *** To explore the bidirectional influences between the two conditions on clinical outcomes and disease *** We systematically reviewed the literature on the relationship between DM and asthma,focusing on their impacts,mechanisms,and therapeutic *** studies were assessed,which investigated the effect of glycemic control on asthma outcomes,lung function,and *** study highlighted the role of specific diabetes medications in managing *** The results showed that poor glycemic control in diabetes can exacerbate asthma,increase hospitalizations,and reduce lung ***,severe asthma,especially in obese individuals,can complicate diabetes management and make glycemic control more *** diabetes-associated mechanisms,such as inflammation,microangiopathy,and oxidative stress,can exacerbate asthma and decrease lung *** diabetes medications exhibit anti-inflammatory effects that show promise in mitigating asthma *** The complex interrelationship between diabetes and asthma suggests bidirectional influences that affect disease course and *** and microvascular complications associated with diabetes may worsen asthma outcomes,while asthma severity,especially in obese individuals,complicates diabetes ***,the current research has limitations,and more diverse longitudinal studies are required to establish causal relationships and identify effective treatment strategies for individuals with both conditions.

关键词： Diabetes mellitus Bronchial asthma Glycemic control Lung function Asthma exacerbation Disease interaction Microangiopathy

Cutaneous leishmaniasis in Al Hassa, Saudi Arabia: Epidemiological trends from 2000 to 2010

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Asian Pacific Journal of Tropical Medicine 2013年第8期6卷 667-672页

作者： Tarek Tawfik Amin Hamdan Ibrahim Al-mohammed Feroze Kaliyadan Balghonaim salah mohammed King Faisal University Cairo University Vector Control Unit Preventive Medicine Department Local Health Directorate Al Hofuf Ministry of Health

Objective: To study epidemiological trends related to cutaneous leishmaniasis (CL) in Al Hassa, an endemic area in Saudi Arabia. Methods: This retrospective study included the spatial/ temporal analysis of the reported cases of CL using the available surveillance database for the disease at the regional Vector Control Unit, from 2000 to 2010. Results: The incidence of CL was declining at a stable rate especially during the last 3 years of the study (2008-2010). An interesting finding was the percentage of expatriates affected was increasing over the last 10 years compared to that of the Saudis. Conclusions: A definite declining trend in the incidence of CL was observed in Al Hassa. Further studies are warranted to assess whether special public health measures are needed for better control of CL in expatriate populations in Saudi Arabia.

关键词： Cutaneous leishmaniasis Epidemiology Saudi Arabia

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

Industrial Food Quality Analysis Using New k-Nearest-Neighbour methods

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Computers, Materials & Continua 2021年第5期67卷 2681-2694页

作者： Omar Fetitah Ibrahim M.Almanjahie mohammed Kadi Attouch salah Khardani Laboratory of Statistics and Stochastic Processes University of Djillali LiabesSidi Bel Abbes22000Algeria Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia Facultédes sciences de Tunis Laboratoire des Réseaux Intelligents et NanotechnologieTunisTunisia

The problem of predicting continuous scalar outcomes from functional predictors has received high levels of interest in recent years in many fields,especially in the food *** k-nearest neighbor(k-NN)method of Near-Infrared Reflectance(NIR)analysis is practical,relatively easy to implement,and becoming one of the most popular methods for conducting food quality based on NIR *** k-NN is often named k nearest neighbor classifier when it is used for classifying categorical variables,while it is called k-nearest neighbor regression when it is applied for predicting noncategorical *** objective of this paper is to use the functional Near-Infrared Reflectance(NIR)spectroscopy approach to predict some chemical components with some modern statistical models based on the kernel and k-Nearest Neighbour *** this paper,three NIR spectroscopy datasets are used as examples,namely Cookie dough,sugar,and tecator ***,we propose three models for this kind of data which are Functional Nonparametric Regression,Functional Robust Regression,and Functional Relative Error Regression,with both kernel and k-NN approaches to compare between *** experimental result shows the higher efficiency of k-NN predictor over the kernel *** predictive power of the k-NN method was compared with that of the kernel method,and several real data sets were used to determine the predictive power of both methods.

关键词： Functional data analysis classical regression robust regression relative error regression kernel method k-NN method near-infrared spectroscopy