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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

LATS1 Promotes B-ALL Tumorigenesis by Regulating YAP1 Phosphorylation and Subcellular Localization

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Current Medical Science 2024年第1期44卷 81-92页

作者： Feng ZHANG mohammed Awal Issah Hai-ying FU Hua-rong ZHOU Ting-bo LIU Jian-zhen SHEN Fujian Provincial Key Laboratory on Hematology Fujian Medical Center of HematologyFujian Institute of HematologyClinical Research Center for Hematological Malignancies of Fujian ProvinceFujian Medical University Union HospitalFuzhou 350001China Tamale Technical University Faculty of Allied Health and Pharmaceutical SciencesDepartment of Medical Laboratory TechnologyTamale NS-011-2000Ghana Department of Hematology The Third Affiliated People's Hospital of Fujian University of Traditional Chinese MedicineThe Third People's Hospital of Fujian ProvinceFuzhou 350122China

Objective YAP1 plays a dual role as an oncogene and tumor suppressor gene in several tumors;differentiating between these roles may depend on the YAP1 phosphorylation *** specific function of YAP1 in B cell acute lymphoblastic leukemia(B-ALL),however,is currently ***,in the present study,the role of YAP1 in B-ALL was investigated using relevant cell lines and patient *** The effects of shRNA-mediated knockdown on YAP1 and LATS1 levels in the NALM6 and MOLT-4 cell lines were examined using Western blotting,quantitative real-time polymerase chain reaction,flow cytometry,immunostaining,and nude mouse subcutaneous tumorigenesis *** expression levels of Hippo pathway-related molecules before and after verteporfin(VP)treatment were compared using RNA-Seq to identify significant Hippo pathway-related genes in NALM6 *** Patients with ALL showing high YAP1 expression and low YAP1-Ser127 phosphorylation levels had worse prognoses than those with low YAP1 protein expression and high YAP1-Ser127 phosphorylation ***1-Ser127 phosphorylation levels were lower in NALM6 cells than in MOLT-4 and control cells;YAP1 was distributed in the nuclei in NALM6 *** of YAP1 inhibited MOLT-4 and NALM6 cell proliferation and arrested the NALM6 cell cycle in the G0/G1 *** and after VP treatment,the expression of the upstream gene LATS1 was upregulated;its overexpression promoted YAP1-Ser127 ***,YAP1 was distributed in the *** LATS1 may downregulate YAP1-Ser127 phosphorylation and maintain B-ALL cell function;thus,VP,which targets this axis,may serve as a new therapeutic method for improving the outcomes for B-ALL patients.

关键词： acute lymphoblastic leukemia large tumor suppressor kinase 1 phosphorylation RNA-Seq Yesl-associated protein

Fine-Tuning Cyber Security Defenses: Evaluating Supervised Machine Learning Classifiers for Windows Malware Detection

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Computers, Materials & Continua 2024年第8期80卷 2917-2939页

作者： Islam Zada mohammed Naif Alatawi Syed Muhammad Saqlain Abdullah Alshahrani Adel Alshamran Kanwal Imran Hessa Alfraihi Department of Software Engineering International Islamic UniversityIslamabad25000Pakistan Information Technology Department Faculty of Computers and Information TechnologyUniversity of TabukTabuk71491Saudi Arabia Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Computer Science University of PeshawarPeshawar25121Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Malware attacks on Windows machines pose significant cybersecurity threats,necessitating effective detection and prevention *** machine learning classifiers have emerged as promising tools for malware ***,there remains a need for comprehensive studies that compare the performance of different classifiers specifically for Windows malware *** this gap can provide valuable insights for enhancing cybersecurity *** numerous studies have explored malware detection using machine learning techniques,there is a lack of systematic comparison of supervised classifiers for Windows malware *** the relative effectiveness of these classifiers can inform the selection of optimal detection methods and improve overall security *** study aims to bridge the research gap by conducting a comparative analysis of supervised machine learning classifiers for detecting malware on Windows *** objectives include Investigating the performance of various classifiers,such as Gaussian Naïve Bayes,K Nearest Neighbors(KNN),Stochastic Gradient Descent Classifier(SGDC),and Decision Tree,in detecting Windows *** the accuracy,efficiency,and suitability of each classifier for real-world malware detection *** the strengths and limitations of different classifiers to provide insights for cybersecurity practitioners and *** recommendations for selecting the most effective classifier for Windows malware detection based on empirical *** study employs a structured methodology consisting of several phases:exploratory data analysis,data preprocessing,model training,and *** data analysis involves understanding the dataset’s characteristics and identifying preprocessing *** preprocessing includes cleaning,feature encoding,dimensionality reduction,and optimization to prepare the data for *** training utilizes various

关键词： Security and privacy challenges in the context of requirements engineering supervisedmachine learning malware detection windows systems comparative analysis Gaussian Naive Bayes K Nearest Neighbors Stochastic Gradient Descent Classifier Decision Tree

Study the Effect of Thickness on the Performance of PM6:Y6 Organic Solar Using SCAPS Simulation

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Advances in Materials Physics and Chemistry 2024年第4期14卷 55-65页

作者： Nagwa Ibrahim mohammed Ibrahim Amnah mohammed Elharbi Abdulrahman Albadri Department of Physics Science College Qassim University Buraydah Saudi Arabia Department of Physics Science College Al Baha University Baha Saudi Arabia Microelectronics and Semiconductors Institute King Abdulaziz City for Science and Technology Riyadh Saudi Arabia

In this study, organic solar cells (OSCs) with an active layer, a blend of polymer of non-fullerene (Nfa) Y6 as an acceptor, and donor PBDB-T-2F as donor were simulated through the one-dimensional solar capacitance simulator (SCAPS-1D) software to examine the performance of this type of organic polymer thin-film solar cell by varying the thickness of the active layer. PFN-Br interfacial layer entrenched in OPV devices gives overall enhanced open-circuit voltage, short-circuit current density and fill factor thus improving device performance. PEDOT: PSS is an electro-conductive polymer solution that has been extensively utilized in solar cell devices as a hole transport layer (HTL) due to its strong hole affinity, good thermal and mechanical stability, high work function, and high transparency in the visible range. The structure of the organic solar cell is ITO/PEDOT: PSS/BTP-4F: PBDB-T-2F/PFN-Br/Ag. Firstly, the active layer thickness was optimized to 100 nm;after that, the active-layer thickness was varied up to 900 nm. The results of these simulations demonstrated that the active layer thickness improves efficiency significantly up to 500 nm, then it decreased with increasing the thickness of the active layer from 600 nm, also notice that the short circuit current and the fill factor decrease with increasing the active layer from 600 nm, while the open voltage circuit increased with increasing the thickness of the active layer. The optimum thickness is 500 nm.

关键词： Organic Solar Cells PEDOT:PSS BTP-4F (Y6) PBDB-T-2F (PM6) PFN-Br SCAPS 1D

Copernicrinus zamorae *** ***.,the oldest thiolliericrinid crinoid(Crinoidea,Echinodermata) from the Bajocian strata of Algeria,Africa

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Journal of Palaeogeography 2024年第2期13卷 237-251页

作者： Bartosz J.Pιachno Madani Benyoucef fayc al Mekki mohammed Adaci Imad Bouchemla Sreepat Jain Marcin Krajewski Mariusz A.Salamon faculty of Biology Institute of BotanyJagiellonian University in KrakowGronostajowa Street 930-387 KrakowPoland Laboratoire de Géomatique Ecologie et EnvironnementMustapha Stambouli University of MascaraDZ-29000 MascaraAlgeria Abou Bekr Belkaid University of Tlemcen TlemcenAlgeria Department of Geological Sciences Faculty of Biological and Agricultural SciencesMouloud Mammeri University of Tizi-OuzouTizi-OuzouAlgeria Adama Science and Technology University School of Applied Natural SciencesDepartment of Applied GeologyP.O.Box 1888AdamaEthiopia faculty of Geology Geophysics and Environmental ProtectionAGH University of Science and TechnologyAl.A.Mickiewicza 30PL-30-059KrakowPoland faculty of Natural Sciences University of Silesia in KatowiceBedzinska Street 60PL-41-200 SosnowiecPoland

The thiolliericrinids(Thiolliericrinidae) are comatulids(Comatulida),which retained their stalks as ***,we report a centrodorsal from the Bajocian strata(Middle Jurassic) of the Djebel Kérdacha area,northwestern Algeria(Africa).It is the first thiolliericrinid report from outside of Europe and also the oldest representative of the Thiolliericrinidae whose first occurrence is from the *** crinoid is assigned to Copernicrinus zamorae *** *** reported new taxon shows strong similarities with the stemless ‘true’comatulids,Solanocrinites;the only difference is the presence of a facet to the stem in *** closest comparable thiolliericrinid to Copernicrinus is the Oxfordian Thiolliericrinus,interpreted as a descendant of the *** origin and overview of all thiolliericrinid representatives are also discussed herein.

关键词： Thiolliericrinidae Crinoids Coral facies Bajocian Jurassic Algeria Southern Tethys margin

A gated recurrent unit model to predict Poisson’s ratio using deep learning

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 123-135页

作者： fahd Saeed Alakbari Mysara Eissa Mohyaldinn mohammed Abdalla Ayoub Ibnelwaleed A.Hussein Ali Samer Muhsan Syahrir Ridha Abdullah Abduljabbar Salih Petroleum Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Institute of Hydrocarbon Recovery Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Gas Processing Center College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Department of Chemical Engineering College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Mechanical Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia

Static Poisson’s ratio(vs)is crucial for determining geomechanical properties in petroleum applications,namely sand *** models have been used to predict vs;however,the published models were limited to specific data ranges with an average absolute percentage relative error(AAPRE)of more than 10%.The published gated recurrent unit(GRU)models do not consider trend analysis to show physical *** this study,we aim to develop a GRU model using trend analysis and three inputs for predicting n s based on a broad range of data,n s(value of 0.1627-0.4492),bulk formation density(RHOB)(0.315-2.994 g/mL),compressional time(DTc)(44.43-186.9 μs/ft),and shear time(DTs)(72.9-341.2μ s/ft).The GRU model was evaluated using different approaches,including statistical error *** GRU model showed the proper trends,and the model data ranges were wider than previous *** GRU model has the largest correlation coefficient(R)of 0.967 and the lowest AAPRE,average percent relative error(APRE),root mean square error(RMSE),and standard deviation(SD)of 3.228%,1.054%,4.389,and 0.013,respectively,compared to other *** GRU model has a high accuracy for the different datasets:training,validation,testing,and the whole datasets with R and AAPRE values were 0.981 and 2.601%,0.966 and 3.274%,0.967 and 3.228%,and 0.977 and 2.861%,*** group error analyses of all inputs show that the GRU model has less than 5% AAPRE for all input ranges,which is superior to other models that have different AAPRE values of more than 10% at various ranges of inputs.

关键词： Static Poisson’s ratio Deep learning Gated recurrent unit(GRU) Sand control Trend analysis Geomechanical properties

Preimplantation genetic testing for embryos predisposed to hereditary cancer:Possibilities and challenges

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Cancer Pathogenesis and Therapy 2024年第1期2卷 1-14页

作者： mohammed H.Albujja Maher Al-Ghedan Lakshmidevi Dakshnamoorthy Josep Pla Victori Department of Forensic Sciences Naif Arab University for Security SciencesRiyadh 11452Saudi Arabia Genetics Laboratory Thuriah Medical CenterRiyadh 11523Saudi Arabia Department of Genetic Counselling VI-RMA GlobalValencia 46004Spain

Preimplantation genetic testing(PGT),which was developed as an alternative to prenatal genetic testing,allows couples to avoid pregnancies with abnormal chromosomes and the subsequent termination of the affected *** used for early onset monogenic conditions,PGT is now used to prevent various types of inherited cancer conditions based on the development of PGT technology,assisted reproductive techniques(ARTs),and in vitro fertilization(IVF).This review provides insights into the potential benefits and challenges associated with the application of PGT for hereditary cancer and provides an overview of the existing literature on this test,with a particular focus on the current challenges related to laws,ethics,counseling,and ***,this review predicts the future potential applications of this *** PGT may be utilized to predict and prevent hereditary cancer,each case should be comprehensively *** motives of couples must be assessed to prevent the misuse of this technique for eugenic purposes,and non-pathogenic phenotypes must be carefully *** cases that require this technology should also be carefully considered based on legal and ethical *** may be the preferred treatment for hereditary cancer cases;however,such cases require careful case-by-case ***,this study concludes that multidisciplinary counseling and support for patients and their families are essential to ensure that PGT is a viable option that meets all legal and ethical concerns.

关键词： Preimplantation genetic testing Hereditary cancer Late-onset diseases Ethics Legal restrictions

循环分层解耦卷积和最大滤波的三维脑肿瘤图像分割

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天津大学学报（自然科学与工程技术版） 2024年第3期57卷 223-233页

作者：李锵李瑞璇刘恒忻关欣 mohammed Jajere Adamu 天津大学微电子学院天津300072

由于脑肿瘤的大小和形状呈不规则状态,从三维磁共振图像中自动分割脑肿瘤是一项具有挑战性的任务.而目前的方法存在两个问题:基于3D建模的方法参数量较大难以训练而且全局或远距离上、下文信息的关联性不足;模型忽略局部区域细节特征使... 详细信息

由于脑肿瘤的大小和形状呈不规则状态,从三维磁共振图像中自动分割脑肿瘤是一项具有挑战性的任务.而目前的方法存在两个问题:基于3D建模的方法参数量较大难以训练而且全局或远距离上、下文信息的关联性不足;模型忽略局部区域细节特征使得分割结果边界模糊.为解决上述问题,本文提出了循环分层解耦卷积和最大滤波(recurrent hierarchical-decoupled convolution and maximum filtering,RHMF)的轻量网络实现三维脑肿瘤图像分割.该网络在特征提取阶段提出循环分层解耦卷积取代标准卷积,减少参数利用多时域的反馈信息建立全局上、下文信息关联.引入改进的多尺度策略对不同尺度下的多层次特征进行提取融合,提高网络的目标识别能力.在定位阶段做局部域细节处理,提出了最大滤波模块激活目标区域像素实现特征图的像素级定位,增强目标区域像素与其他区域像素的区别,进一步细化分割,解决边界模糊问题.在BraTS2020数据集上的实验结果表明,RHMF-Net在增强肿瘤区、整体肿瘤区和核心肿瘤区的平均Dice系数值分别为77.23%、90.01%和83.10%,参数量为0.42×106.

关键词：脑肿瘤分割循环卷积轻量级注意力机制多尺度

Silicon quantum dots-based fluorescent sensor for the detection of cobalt with high sensitivity and selectivity

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Chinese Chemical Letters 2024年第1期35卷 451-455页

作者： Ebtihaj mohammed Sullam Khalid mohammed Adam Juanjuan Liu Hongli Chen Jianxi Xiao State Key Laboratory of Applied Organic Chemistry College of Chemistry and Chemical EngineeringLanzhou UniversityLanzhou 730000China Department of Chemistry Faculty of EducationUniversity of KordofanEl Obeid 51111Sudan

Fluorescent silicon quantum dots(Si QDs)were hydrothermally synthesized from a mixture of 3(2-aminoethylamino)propyl(dimethoxymethylsilane)(AEAPDMMS)and poly(vinylpyrrolidine)(PVP).The resulting Si QDs exhibited good water solubility and high *** the optimized conditions,the probe revealed an excellent linear fluorescence quenching effect on Co2+ranging from 1μmol/L to 120μmol/L with a limit of detection of 0.37μmol/L(based on 3 s/k).The quenching mechanism was studied,showing that static quenching(SQE)causes the main ***,the test paper based on Si QDs was prepared,which is cost-effective,high sensitivity,good selectivity,easy to use and show excellent anti-interference *** method was applied to analyze the content of Co2+in environmental water samples with satisfying results.

关键词： Silicon quantum dots Fluorescence Poly(vinylpyrrolidine) Test paper Cobalt detection

Traffic Control Based on Integrated Kalman Filtering and Adaptive Quantized Q-Learning Framework for Internet of Vehicles

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2103-2127页

作者： Othman S.Al-Heety Zahriladha Zakaria Ahmed Abu-Khadrah Mahamod Ismail Sarmad Nozad Mahmood mohammed Mudhafar Shakir Hussein Alsariera faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaysia College of Computing&Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Electrical Electronic and System EngineeringUniversiti Kebangsaan MalaysiaUKM BangiSelangorMalaysia Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkukIraq faculty of Engineering and Electronic Engineering Universiti Tun Hussein Onn Malaysia(UTHM)Batu PahatMalaysia 6Research Center DepartmentThe University of MashreqBaghdadIraq

Intelligent traffic control requires accurate estimation of the road states and incorporation of adaptive or dynamically adjusted intelligent algorithms for making the *** this article,these issues are handled by proposing a novel framework for traffic control using vehicular communications and Internet of Things *** framework integrates Kalman filtering and *** smoothing Kalman filtering,our data fusion Kalman filter incorporates a process-aware model which makes it superior in terms of the prediction *** traditional Q-learning,our Q-learning algorithm enables adaptive state quantization by changing the threshold of separating low traffic from high traffic on the road according to the maximum number of vehicles in the junction *** evaluation,the model has been simulated on a single intersection consisting of four roads:east,west,north,and south.A comparison of the developed adaptive quantized Q-learning(AQQL)framework with state-of-the-art and greedy approaches shows the superiority of AQQL with an improvement percentage in terms of the released number of vehicles of AQQL is 5%over the greedy approach and 340%over the state-of-the-art ***,AQQL provides an effective traffic control that can be applied in today’s intelligent traffic system.

关键词： Q-learning intelligent transportation system(ITS) traffic control vehicular communication kalman filtering smart city Internet of Things