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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

Exponentiated Generalized Inverse Flexible Weibull Distribution:Bayesian and Non-Bayesian Estimation Under Complete and TypeⅡCensored Samples with Applications

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Communications in mathematics and Statistics 2022年第3期10卷 413-434页

作者： m.El-morshedy m.S.Eliwa A.El-Gohary ehab m.almetwally R.EL-Desokey Department of mathematics College of Science and Humanities in Al-KharjPrince Sattam Bin Abdulaziz UniversityAl-Kharj 11942Saudi Arabia Department of mathematics Faculty of ScienceMansoura UniversityMansoura 35516Egypt Faculty of Business Administration Delta University of Science and TechnologyMansouraEgypt Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza 12613Egypt

In this paper,a new 4-parameter exponentiated generalized inverse flexible Weibull distribution is *** of its statistical properties are *** aim of this paper is to estimate the model parameters via several approaches,namely,maximum likelihood,maximum product spacing and *** to Bayesian approach,several techniques are used to get the Bayesian estimators,namely,standard error function,Linex loss function and entropy loss *** estimation herein is based on complete and censored *** Chain monte Carlo simulation is used to discuss the behavior of the estimators for each ***,two real data sets are analyzed to obtain the flexibility of the proposed model.

关键词： Weibull distribution Hazard rate function maximum likelihood estimation maximum product spacing estimation Bayesian estimation Censored samples Simulation

Kumaraswamy Inverted Topp–Leone Distribution with Applications to COVID-19 Data

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Computers, materials & Continua 2021年第7期68卷 337-358页

作者： Amal S.Hassan ehab m.almetwally Gamal m.Ibrahim Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza12613Egypt Faculty of Business Administration Delta University of Science and TechnologyMansoura35511Egypt High Institute for management Sciences Belqas35511Egypt

In this paper, an attempt is made to discover the distributionof COVID-19 spread in different countries such as;Saudi Arabia, Italy,Argentina and Angola by specifying an optimal statistical distribution for analyzing the mortality rate of COVID-19. A new generalization of the recentlyinverted Topp Leone distribution, called Kumaraswamy inverted Topp–Leonedistribution, is proposed by combining the Kumaraswamy-G family and theinverted Topp–Leone distribution. We initially provide a linear representationof its density function. We give some of its structure properties, such as quantile function, median, moments, incomplete moments, Lorenz and Bonferronicurves, entropies measures and stress-strength reliability. Then, Bayesian andmaximum likelihood estimators for parameters of the Kumaraswamy invertedTopp–Leone distribution under Type-II censored sample are *** estimator is regarded using symmetric and asymmetric loss functions. As analytical solution is too hard, behaviours of estimates have beendone viz monte Carlo simulation study and some reasonable comparisonshave been presented. The outcomes of the simulation study confirmed theefficiencies of obtained estimates as well as yielded the superiority of Bayesianestimate under adequate priors compared to the maximum likelihood *** to COVID-19 in some countries showed that the new distributionis more appropriate than some other competitive models.

关键词： Kumaraswamy-G family maximum likelihood Bayesian method COVID-19 moments quantile function stress-strength reliability

Product Spacing of Stress–Strength under Progressive Hybrid Censored for Exponentiated-Gumbel Distribution

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Computers, materials & Continua 2021年第3期66卷 2973-2995页

作者： R.Alshenawy mohamed A.H.Sabry ehab m.almetwally Hisham m.Elomngy Department of mathematics and Statistics King Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Applied Statistics and Insurance Mansoura UniversityMansoura35516Egypt Department of mathematical Statistics Cairo UniversityCairo12613Egypt Department of Statistics Delta University for Science and TechnologyMansoura11152Egypt

maximum product spacing for stress–strength model based on progressive Type-II hybrid censored samples with different cases has been *** paper deals with estimation of the stress strength reliability model R=P(Ymbel distribution random variables with different shape parameters but having the same scale *** stress–strength reliability model is estimated under progressive Type-II hybrid censoring *** progressive Type-II hybrid censoring schemes were used,Case I:A sample size of stress is the equal sample size of strength,and same time of hybrid censoring,the product of spacing function under progressive Type-II hybrid censoring *** II:The sample size of stress is a different sample size of strength,in which the life-testing experiment with a progressive censoring scheme is terminated at a random time T 2 e0;*** maximum likelihood estimation and maximum product spacing estimation methods under progressive Type-II hybrid censored samples for the stress strength model have been discussed.A comparison study with classical methods as the maximum likelihood estimation method is ***,to compare the performance of various cases,markov chain monte Carlo simulation is conducted by using iterative procedures as Newton Raphson or conjugate-gradient ***,two real datasets are analyzed for illustrative purposes,first data for the breaking strengths of jute fiber,and the second data for the waiting times before the service of the customers of two banks.

关键词： Exponentiated Gumbel distribution stress-strength model progressive Type-II hybrid censoring maximum product spacing maximum likelihood

Assessing the Performance of Some Ranked Set Sampling Designs Using Hybrid Approach

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Computers, materials & Continua 2021年第9期68卷 3737-3753页

作者： mohamed.A.H.Sabry ehab m.almetwally Hisham m.Almongy Gamal m.Ibrahim Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza12613Egypt Faculty of Business Administration Delta University of Science and TechnologyMansoura35511Egypt Department of Statistics Delta University for Science and TechnologyMansouraEgypt High Institute for management Sciences Belqas35511Egypt

In this paper,a joint analysis consisting of goodness-of-fit tests and markov chain monte Carlo simulations are used to assess the performance of some ranked set sampling *** markov chain monte Carlo simulations are conducted when Bayesian methods with Jeffery’s priors of the unknown parameters of Weibull distribution are used,while the goodness of fit analysis is conducted when the likelihood estimators are used and the corresponding empirical distributions are *** ranked set sampling designs considered in this research are the usual ranked set sampling,extreme ranked set sampling,median ranked set sampling,and neoteric ranked set sampling *** intensive monte Carlo simulation study is conducted using Lindley’s approximation algorithm to compute the different designs’-based *** study showed that the dependent design“neoteric ranked set sampling design”is superior to other ranked set designs and the total relative efficiency is higher than the other designs’total relative efficiency.

关键词： Goodness of fit ranked set sampling Weibull distribution Bayesian estimation Lindley’s approximation neoteric ranked set sampling design

Thermal performance of domed roof in air-conditioned spaces

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Energy and Built Environment 2024年第2期5卷 270-287页

作者： Ibrahim Reda Raouf N.Abdelmessih mohamed Steit ehab m.mina mechanical Power Engineering Faculty of EngineeringAin Shams University1 El-Sarayat St.Cairo 11517Egypt Architectural Engineering Faculty of EngineeringAin Shams UniversityCairoEgypt

Due to their thermal performance,domed roofs are one of the passive solutions that affect energy consumption in *** thermal performance of domed roofs has been investigated in many naturally ventilated ***,few studies have discussed their performance in conditioned ***,this study introduces a computational comparison between domed and flat roofs to investigate their impact on thermal comfort inside a conditioned *** an earlier stage,field measurements were carried out inside a Bahraini mosque to acquire its indoor air conditions during the summer period of 2021,in addition to validating the computational *** findings of this study confirm that,under mechanical cooling conditions,the flat roof offers a lower indoor temperature than the domed roof by 0.4℃and 0.1℃for open and closed doors,***,the air velocity is lower by approximately 0.01 m/s for both door *** overall PmV values of the flat roof are also lower by 0.07 and 0.01,while the PPD values are lower by 0.20,and 0.34 for open and closed doors,*** on these small differences,it can be concluded that the thermal performance of both roofing systems behaves equally in conditioned ***,the air patterns are substantially different,the overall thermal performance is *** similarity drives building designers to rethink the thermal performance of the domed roofs in air-conditioned spaces with such a hot climate,regardless of their aesthetic and acoustical behaviour.

关键词： Thermal comfort Computational fluid dynamics(CFD) Predicted mean vote(PmV)and predicted percentage dissatisfied(PPD) Domed roof Flat roof

Identifying and validating mmP family members(mmP2,mmP9,mmP12,and mmP16)as therapeutic targets and biomarkers in kidney renal clear cell carcinoma(KIRC)

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Oncology Research 2024年第4期32卷 737-752页

作者： KUNLUN LI DANDAN LI BARBOD HAFEZ mOUNIR m.SALEm BEKHIT YOUSEF A.BIN JARDAN FARS KAED ALANAZI ehab I.TAHA SAYED H.AUDA FAIQAH RAmZAN mUHAmmAD JAmIL The Second Affiliated Hospital of Harbin medical University Harbin Medical UniversityHarbinChina Department of Pharmaceutical Engineering Jiangsu Ocean UniversityLianyungangChina Department of Biological Engineering University of SalfordSalfordUK Department of Pharmaceutics College of PharmacyKing Saud UniversityRiyadhSaudi Arabia Department of Animal and Poultry Production Faculty of Veterinary and Animal SciencesGomal UniversityDera Ismail KhanPakistan Department of Arid Zone Research PARC instituteDera Ismail KhanPakistan

Kidney Renal Clear Cell Carcinoma(KIRC)is a malignant tumor that carries a substantial risk of morbidity and *** mmP family assumes a crucial role in tumor invasion and *** study aimed to uncover the mechanistic relevance of the mmP gene family as a therapeutic target and diagnostic biomarker in Kidney Renal Clear Cell Carcinoma(KIRC)through a comprehensive approach encompassing both computational and molecular ***,Cytoscape,UALCAN,GEPIA,OncoDB,HPA,cBioPortal,GSEA,TImER,ENCORI,DrugBank,targeted bisulfite sequencing(bisulfite-seq),conventional PCR,Sanger sequencing,and RT-qPCR based analyses were used in the present study to analyze mmP gene family members to accurately determine a few hub genes that can be utilized as both therapeutic targets and diagnostic biomarkers for *** performing STRING and Cytohubba analyses of the 24 mmP gene family members,mmP2(matrix metallopeptidase 2),mmP9(matrix metallopeptidase 9),mmP12(matrix metallopeptidase 12),and mmP16(matrix metallopeptidase 16)genes were denoted as hub genes having highest degree *** analyzing mmP2,mmP9,mmP12,and mmP16 via various TCGA databases and RT-qPCR technique across clinical samples and KIRC cell lines,interestingly,all these hub genes were found significantly overexpressed at mRNA and protein levels in KIRC samples relative to *** notable effect of the up-regulated mmP2,mmP9,mmP12,and mmP16 was also documented on the overall survival(OS)of the KIRC ***,targeted bisulfite-sequencing(bisulfite-seq)analysis revealed that promoter hypomethylation pattern was associated with up-regulation of hub genes(mmP2,mmP9,mmP12,and mmP16).In addition to this,hub genes were involved in various diverse oncogenic *** mmP gene family members(mmP2,mmP9,mmP12,and mmP16)may serve as therapeutic targets and prognostic biomarkers in KIRC.

关键词： KIRC mmP gene family Chemotherapy Overall survival

Combining ability of Egyptian cotton(Gossypium barbadense L.)reveals genetic potential for improved yield and fiber quality

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Journal of Cotton Research 2024年第2期7卷 109-122页

作者： Abdelghany Ahmed m. El-Banna Aly A.A. Lamlom Sobhi F El-Sorady Gawhara A. Salama ehab A.A. Ren Honglei Shaibu Abdulwahab S. Yehia Waleed m.B. Crop Science Department Faculty of AgricultureDamanhour UniversityDamanhour 22516Egypt Plant Production Department Faculty of Agriculture Saba BashaAlexandria UniversityAlexandria 21531Egypt Agricultural Botany Department Faculty of Agriculture Saba BashaAlexandria UniversityAlexandria 21531Egypt Heilongjiang Academy of Agricultural Sciences Soybean Research InstituteHarbin 150086China Department of Agronomy Bayero University KanoKano 700001Nigeria Cotton Breeding Department Cotton Research InstituteAgriculture Research CenterGizaEgypt

Background As the most widely cultivated fiber crop,cotton production depends on hybridization to unlock the yield potential of current varieties.A deep understanding of genetic dissection is crucial for the cultivation of enhanced hybrid plants with desired traits,such as high yield and fine fiber *** this study,the general combining ability(GCA)and specific combining ability(SCA)of yield and fiber quality of nine cotton parents(six lines and three testers)and eighteen F1 crosses produced using a line×tester mating design were *** The results revealed significant effects of genotypes,parents,crosses,and interactions between parents and crosses for most of the studied ***,the effects of both additive and non-additive gene actions played a notably significant role in the inheritance of most of the yield and fiber quality *** F1 hybrids of(Giza 90×Aust)×Giza 86,Uzbekistan 1×Giza 97,and Giza 96×Giza 97 demonstrated superior performance due to their favorable integration of high yield attributes and premium fiber quality *** analysis revealed that lint yield has the highest positive direct effect on seed cotton yield,while lint percentage showed the highest negative direct effect on seed cotton *** component analysis identified specific parents and hybrids associated with higher cotton yield,fiber quality,and other agronomic *** This study provides insights into identifying potential single-and three-way cross hybrids with superior cotton yield and fiber quality characteristics,laying a foundation for future research on improving fiber quality in cotton.

关键词： Gossypium barbadense L. Combining ability Seed cotton yield Fiber quality Cluster analysis Path analysis

Bayesian Analysis in Partially Accelerated Life Tests for Weighted Lomax Distribution

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Computers, materials & Continua 2021年第9期68卷 2859-2875页

作者： Rashad Bantan Amal S.Hassan ehab almetwally m.Elgarhy Farrukh Jamal Christophe Chesneau mahmoud Elsehetry Deanship of Scientific Research King Abdulaziz UniversityJeddah21589Kingdom of Saudi Arabia Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza12613Egypt Faculty of Business Administration Delta University of Science and TechnologyMansoura11152Egypt The Higher Institute of Commercial Sciences Al Mahalla Al Kubra31951AlgarbiaEgypt Department of Statistics The Islamia University of BahawalpurPunjab 63100Pakistan Department of mathematics LMNOUniversity of CaenCaen14032France Deanship of Information Technology King Abdulaziz UniversityJeddah21589Kingdom of Saudi Arabia

Accelerated life testing has been widely used in product life testing experiments because it can quickly provide information on the lifetime distributions by testing products or materials at higher than basic conditional levels of stress,such as pressure,temperature,vibration,voltage,or load to induce early *** this paper,a step stress partially accelerated life test(SSPALT)is regarded under the progressive type-II censored data with random *** removals from the test are considered to have the binomial *** life times of the testing items are assumed to follow lengthbiased weighted Lomax *** maximum likelihood method is used for estimating the model parameters of length-biased weighted *** asymptotic confidence interval estimates of the model parameters are evaluated using the Fisher information *** Bayesian estimators cannot be obtained in the explicit form,so the markov chain monte Carlo method is employed to address this problem,which ensures both obtaining the Bayesian estimates as well as constructing the credible interval of the involved *** precision of the Bayesian estimates and the maximum likelihood estimates are compared by *** addition,to compare the performance of the considered confidence intervals for different parameter values and sample *** Bootstrap confidence intervals give more accurate results than the approximate confidence intervals since the lengths of the former are less than the lengths of latter,for different sample sizes,observed failures,and censoring schemes,in most ***,the percentile Bootstrap confidence intervals give more accurate results than Bootstrap-t since the lengths of the former are less than the lengths of latter for different sample sizes,observed failures,and censoring schemes,in most *** performance comparison is conducted by the experiments with real data.

关键词： Partially accelerated life testing progressive type-II censoring length-biased weighted Lomax Bayesian and bootstrap confidence intervals

Optimized Deep Learning model for Colorectal Cancer Detection and Classification model

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Computers, materials & Continua 2022年第6期71卷 5751-5764页

作者： mahmoud Ragab Khalid Eljaaly maha Farouk SSabir ehab Bahaudien Ashary S.m.Abo-Dahab E.m.Khalil Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Center of Artificial Intelligence for Precision medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Department of mathematics Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Department of Pharmacy Practice Faculty of PharmacyKing Abdulaziz UniversityJeddah21589Saudi Arabia Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Electrical and Computer Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Computer Science Department Faculty of Computers and InformationLuxor University85951Egypt mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt Department of mathematics Faculty of ScienceTaif UniversityTaif21944Saudi Arabia

The recent developments in biological and information technologies have resulted in the generation of massive quantities of data it speeds up the process of knowledge discovery from biological *** to the advancements of medical imaging in healthcare decision making,significant attention has been paid by the computer vision and deep learning(DL)*** the same time,the detection and classification of colorectal cancer(CC)become essential to reduce the severity of the disease at an earlier *** existing methods are commonly based on the combination of textual features to examine the classifier results or machine learning(mL)to recognize the existence of *** this aspect,this study focuses on the design of intelligent DL based CC detection and classification(IDL-CCDC)model for bioinformatics *** proposed IDL-CCDC technique aims to detect and classify different classes of *** addition,the IDLCCDC technique involves fuzzy filtering technique for noise removal ***,water wave optimization(WWO)based EfficientNet model is employed for feature extraction ***,chaotic glowworm swarm optimization(CGSO)based variational auto encoder(VAE)is applied for the classification of CC into benign or *** design of WWO and CGSO algorithms helps to increase the overall classification *** performance validation of the IDL-CCDC technique takes place using benchmark Warwick-QU dataset and the results portrayed the supremacy of the IDL-CCDC technique over the recent approaches with the maximum accuracy of 0.969.

关键词： Colorectal cancer deep learning medical imaging bioinformatics metaheuristics parameter tuning