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Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

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Computers, Materials & Continua 2024年第3期78卷 4379-4397页

作者： Qazi Mazhar ul Haq fahim.arif Khursheed Aurangzeb Noor ul Ain Javed Ali Khan Saddaf Rubab Muhammad Shahid Anwar Department of Computer Science and Engineering and International Bachelor’s Program in Informatics Yuan Ze UniversityZhongliTaoyuan320315Taiwan Department of Computer Science National University of PakistanRawalpindiPunjab46000Pakistan Department of Computer Software Engineering MCSNational University of Sciences and TechnologyIslamabad44000Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Department of Computer Science School of PhysicsEngineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Department of AI and Software Gachon UniversitySeongnam-SI13120South Korea

Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty *** are exploring machine learning to predict software bugs,but a more precise and general approach is *** bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning ***,these studies are not generalized and efficient when extended to other ***,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification *** methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a *** National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were *** reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.

关键词： Natural language processing software bug prediction transfer learning ensemble learning feature selection

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A review on edge analytics:Issues,challenges,opportunities,promises,future directions,and applications

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Digital Communications and Networks 2024年第3期10卷 783-804页

作者： Sabuzima Nayak Ripon Patgiri Lilapati Waikhom arif Ahmed National Institute of Technology Silchar India Ericsson Sweden

Edge technology aims to bring cloud resources(specifically,the computation,storage,and network)to the closed proximity of the edge devices,i.e.,smart devices where the data are produced and *** computing and application in edge devices lead to emerging of two new concepts in edge technology:edge computing and edge *** analytics uses some techniques or algorithms to analyse the data generated by the edge *** the emerging of edge analytics,the edge devices have become a complete ***,edge analytics is unable to provide full support to the analytic *** edge devices cannot execute advanced and sophisticated analytic algorithms following various constraints such as limited power supply,small memory size,limited resources,*** article aims to provide a detailed discussion on edge *** key contributions of the paper are as follows-a clear explanation to distinguish between the three concepts of edge technology:edge devices,edge computing,and edge analytics,along with their *** addition,the article discusses the implementation of edge analytics to solve many problems and applications in various areas such as retail,agriculture,industry,and ***,the research papers of the state-of-the-art edge analytics are rigorously reviewed in this article to explore the existing issues,emerging challenges,research opportunities and their directions,and applications.

关键词： Edge analytics Edge computing Edge devices Big data Sensor Artificial intelligence Machine learning Smart technology Healthcare

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A Hybrid SIR-Fuzzy Model for Epidemic Dynamics:A Numerical Study

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 3417-3434页

作者： Muhammad Shoaib arif Kamaleldin Abodayeh Yasir Nawaz Department of Mathematics and Sciences College of Humanities and SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Mathematics Air UniversityIslamabad44000Pakistan

This study focuses on the urgent requirement for improved accuracy in diseasemodeling by introducing a newcomputational framework called the Hybrid SIR-Fuzzy *** integrating the traditional Susceptible-Infectious-Recovered(SIR)modelwith fuzzy logic,ourmethod effectively addresses the complex nature of epidemic dynamics by accurately accounting for uncertainties and imprecisions in both data and model *** main aim of this research is to provide a model for disease transmission using fuzzy theory,which can successfully address uncertainty in mathematical *** main emphasis is on the imprecise transmission rate parameter,utilizing a three-part description of its membership *** enhances the representation of disease processes with greater complexity and tackles the difficulties related to quantifying uncertainty in mathematical *** investigate equilibrium points for three separate scenarios and perform a comprehensive sensitivity analysis,providing insight into the complex correlation betweenmodel parameters and epidemic *** order to facilitate a quantitative analysis of the fuzzy model,we propose the implementation of a resilient numerical *** convergence study of the scheme demonstrates its trustworthiness,providing a conditionally positive solution,which represents a significant improvement compared to current forward Euler *** numerical findings demonstrate themodel’s effectiveness in accurately representing the dynamics of disease ***,when the mortality coefficient rises,both the susceptible and infected populations decrease,highlighting the model’s sensitivity to important epidemiological ***,there is a direct relationship between higher Holling type rate values and a decrease in the number of individuals who are infected,as well as an increase in the number of susceptible *** correlation offers a significant understanding of how many elements affect the con

关键词： Fuzzy-based model sensitivity equilibriumpoints proposed numerical scheme convergence and stability analysis

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Highly selective adsorption of rhenium by amyloid-like protein material

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Science China(Technological Sciences) 2024年第5期67卷 1417-1430页

作者： MUHAMMAD arif YANG QingMin KANWAL Aisha ZHAO Jian NAWAZ Mohsan REN Hao YANG Peng Key Laboratory of Applied Surface and Colloid Chemistry Ministry of Education Xi’an Key Laboratory of Polymeric Soft Matter International Joint Research Center on Functional Fiber and Soft Smart TextileSchool of Chemistry and Chemical EngineeringShaanxi Normal UniversityXi’an710119China School of Chemistry and Chemical Engineering Northwestern Polytechnical UniversityXi’an710072China

Rhenium separation from molybdenum in molybdenite minerals and waste leachate has become an emerging *** this challenge,we prepared a set of protein-based alkylamine/alkylammonium salts complexes as extractants for selective uptake of rhenium from molybdenum,where the protein component turned into the insoluble amyloid-like structure when its internal disulfide bonds were reduced,namely phase-transition *** them,the phase-transited lysozyme and methyletrioctyleammonium chloride complex(PTL-N263)exhibited the most efficient adsorption at the alkaline condition for the electrostatic interaction between negatively charged metal ions with positively charged center(R_(4)N^(+))in N263,where negatively charged protein residues hindered the ion exchange of Cl^(-)in N263 for larger size Mo species(Mo_(7)O_(24)^(6-))than smaller size Re species(ReO^(4-)).The adsorption follows the Freundlich model and pseudo-second-order kinetics,which exhibits toplevel adsorption performance with a maximum adsorption capacity of 124 mg/g and a separation factor(β_(Re/Mo))of 2.78×10^(3)for *** adsorption capacity per unit area(57.2 mg/(g m^(2)))is 1.6–41 times higher than previously reported adsorbents,and the cost for adsorbing 1 g of Re(VII)is$1.07,indicating its industrial *** adsorption strategy can be applied to separating Re from Mo in binary solutions and industrial wastewater with other competing ions.

关键词： amyloid phase-transited lysozyme selective adsorption rhenium waste leachate solution

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Construction of a Computational Scheme for the Fuzzy HIV/AIDS Epidemic Model with a Nonlinear Saturated Incidence Rate

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1405-1425页

This work aimed to construct an epidemic model with fuzzy *** the classical epidemic model doesnot elaborate on the successful interaction of susceptible and infective people,the constructed fuzzy epidemicmodel discusses the more detailed versions of the interactions between infective and susceptible ***-generation matrix approach is employed to find the reproduction number of a deterministic *** analysis and local stability analysis of the systemare also *** solving the fuzzy epidemic model,a numerical scheme is constructed which consists of three time *** numerical scheme has an advantage overthe existing forward Euler scheme for determining the conditions of getting the positive *** establishedscheme also has an advantage over existing non-standard finite difference methods in terms of order of *** stability of the scheme for the considered fuzzy model is also *** the plotted results,it can beobserved that susceptible people decay by rising interaction parameters.

关键词： Epidemic model fuzzy rate parameters next generation matrix local stability proposed numerical scheme

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Holomorphic Connections and Problems of Lifts

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Chinese Annals of Mathematics,Series B 2024年第5期45卷 677-684页

作者： arif SALIMOV Narmina GURBANOVA Department of Algebra and Geometry Baku State University

Considering the bundle of 2-jets as a realization of the holomorphic manifold over 3-dimensional nilpotent algebra, the authors introduce a new class of lifts of connections in the bundle of 2-jets which is a generali... 详细信息

关键词： 53C07 53C15 Bundle of 2-jets Deformed lift Holomorphic functions Pure connection

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Optimizing Optical Fiber Faults Detection:A Comparative Analysis of Advanced Machine Learning Approaches

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Computers, Materials & Continua 2024年第5期79卷 2697-2721页

作者： Kamlesh Kumar Soothar Yuanxiang Chen arif Hussain Magsi Cong Hu Hussain Shah School of Electronics Engineering Beijing University of Posts and TelecommunicationsBeijing100876China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an710071China State Key Laboratory ofNetworking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China

Efficient optical network management poses significant importance in backhaul and access network communicationfor preventing service disruptions and ensuring Quality of Service(QoS)*** emerging faultsin optical networks introduce challenges that can jeopardize the network with a variety of *** existingliterature witnessed various partial or inadequate *** the other hand,Machine Learning(ML)hasrevolutionized as a promising technique for fault detection and *** traditional fault managementsystems,this research has three-fold ***,this research leverages the ML and Deep Learning(DL)multi-classification system and evaluates their accuracy in detecting six distinct fault types,including fiber cut,fibereavesdropping,splicing,bad connector,bending,and PC ***,this paper assesses the classificationdelay of each classification ***,this work proposes a fiber optics fault prevention algorithm thatdetermines to mitigate the faults *** work utilized a publicly available fiber optics dataset namedOTDR_Data and applied different ML classifiers,such as Gaussian Naive Bayes(GNB),Logistic Regression(LR),Support Vector Machine(SVM),K-Nearest Neighbor(KNN),Random Forest(RF),and Decision Tree(DT).Moreover,Ensemble Learning(EL)techniques are applied to evaluate the accuracy of various *** addition,this work evaluated the performance of DL-based Convolutional Neural Network and Long-Short Term Memory(CNN-LSTM)hybrid *** findings reveal that the CNN-LSTM hybrid technique achieved the highestaccuracy of 99%with a delay of 360 *** the other hand,EL techniques improved the accuracy in detecting fiberoptic ***,this research comprehensively assesses accuracy and delay metrics for various classifiers andproposes the most efficient attack detection system in fiber optics.

关键词： Fiber optics fault detection multiclassification machine learning ensemble learning

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Effects of arbuscular mycorrhizal fungi on carbon assimilation and ecological stoichiometry of maize under combined abiotic stresses

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Journal of Plant Ecology 2024年第2期17卷 74-88页

作者： Qiong Ran Songlin Zhang Muhammad arif Xueting Yin Shanshan Chen Guangqian Ren School of Management Chongqing University of TechnologyChongqing 400054China Key Laboratory of Reservoir Aquatic Environment Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China Key Laboratory of Eco-environments in Three Gorges Reservoir Region(Ministry of Education) State Cultivation Base of Eco-agriculture for Southwest Mountainous LandSchool of Life SciencesSouthwest UniversityChongqing 400715China Institute of Environment and Ecology Academy of Environmental Health and Ecological SecuritySchool of the Environment and Safety EngineeringJiangsu UniversityZhenjiang 212013China

Arbuscular mycorrhizal fungi(AMF)enhance plant tolerance to abiotic stresses like salinity and improve crop ***,their effects are variable,and the underlying cause of such variation remains largely *** study aimed to assess how drought modifed the effect of AMF on plant resistance to high calcium-saline stress.A pot experiment was performed to examine how AMF inoculation affects the growth,photosynthetic activity,nutrient uptake and carbon(C),nitrogen(N)and phosphorus(P)stoichiometric ratio(C:N:P)of maize under high calcium stress and contrasting water *** results showed that high calcium stress signifcantly reduced mycorrhizal colonization,biomass accumulation,C assimilation rate and C:N stoichiometric ratio in plant ***,the adverse effects of calcium stress on photosynthesis were exacerbated under *** inoculation profoundly alleviated such reductions under drought and saline ***,it barely affected maize performance when subjected to calcium stress under well-watered ***,watering changed AMF impact on nutrient allocation in plant *** well-watered conditions,AMF stimulated P accumulation in roots and plant growth,but did not induce leaf P accumulation proportional to C and N,resulting in increased leaf C:P and N:P ratios under high calcium *** contrast,AMF decreased N content and the N:P ratio in leaves under ***,AMF inoculation improved maize resistance to calcium-salt stress through enhanced photosynthesis and modulation of nutrient stoichiometry,particularly under water defcit *** results highlighted the regulatory role of AMF in carbon assimilation and nutrient homeostasis under compound stresses,and provide signifcant guidance on the improvement of crop yield in saline and arid regions.

关键词： arbuscular mycorrhizal fungi compound abiotic stresses C:N:P stoichiometry induced systemic resistance calcium-salt stress

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Unveiling the Nexus the link between water quality index and phthalic acid ester concentrations in Tigris River

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Emerging Contaminants 2024年第1期10卷 108-116页

作者： Shaymaa arif Shukur Fikrat M.Hassan Saad Sabah Fakhry Department of Biology College of Science for WomenUniversity of BaghdadIraq Ministry of Science and Technology/Food Contamination Research Center Iraq

Monitoring water quality in an aquatic system is a crucial objective in pursuing sustainable development,despite the challenges posed by water scarcity and the impact of climate *** objective of the present study was to examine the water quality of the Tigris River along its course from the point of entry into Baghdad city to its exit,particularly in the presence of Phthalic Acid Esters(PAEs).In both dry and wet seasons and from five sites of the river,nine environmental factors(Turbidity,Total dissolved solids,pH,dissolved oxygen,Chloride,nitrate,phosphate,sulfate,and Biological oxygen demand)and three PAEs(di-n-butyl phthalate(DBP),di-isononyl phthalate(DiNP),and di-2-ethyl hexyl phthalate(DEHP))were *** revealed that the river has high levels of turbidity and Total dissolved solids,slightly alkaline,and well-aerated(dissolved oxygen>7 mg/L).Chloride,nitrate,phosphate,and sulfate values varied between seasons,as high values were recorded in the wet *** oxygen demand levels were higher during the dry *** highest value of total PAEs(2.20μg/L)was observed during the dry season,and the lowest value was in the wet season(1.16μg/L).The HQ results revealed that the river was ranked as a moderate risk *** the water quality index and environmental risk index classified the water quality as a poor category,with a high-risk score in the study sites within Baghdad ***,despite the acceptable limit of PAEs in the river's water(<3μg/L),its presence is an early alarm to withdraw attention to its environmental *** findings highlight the need for appropriate measures to control and remove pollutants to ensure a safe and healthy water supply in the Tigris River.

关键词： Phthalic acid esters di-n-butyl phthalate(DBP) di-isononyl phthalate(DiNP) di-2-ethyl hexyl phthalate(DEHP) Environmental risk index Tigris River Water pollution

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Deferred revascularization in diabetic patient according to combined invasive functional and intravascular imaging data:A case report

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World Journal of Clinical Cases 2024年第13期12卷 2269-2274页

作者： arif Al Nooryani Wael Aboushokka Branko Beleslin Biljana Nedeljkovic-Beleslin Department of Cardiology Al Qassimi HospitalSharjah 1234United Arab Emirates Department of Cardiology Medical FacultyUniversity of BelgradeBelgrade 11000Serbia Institute of Endocrinology Diabetes and Metabolic DisordersUniveristy Clinical Center of SerbiaBelgrade 11000Serbia Department of Internal Medicine/Endocrinology Medical facultyUniversity of BelgradeBelgrade 11000Serbia

BACKGROUND Invasive functional evaluation by fractional flow reserve(FFR)is considered as a gold standard for the evaluation of intermediate coronary ***,in patients with diabetes due to accelerated progression of atherosclerosis the outcome may be worse even in the presence of negative functional *** SUMMARY We present a case of 55-year-old male diabetic patient who was admitted for chest *** coronary angiography disclosed 2 intermediate stenoses of the obtuse marginal branch with no evidence of restenosis on previously implanted *** undergone invasive functional testing of intermediate lesion with preserved FFR(0.88),low coronary flow reserve(1.2)and very high index of microvascular resistance(84).Due to discrepancy in invasive functional parameters,intravascular imaging with optical coherence tomography showed fibrotic stenoses without signs of thin-sup *** of the preserved FFR and no signs of vulnerable plaque,the interventional procedure was deferred and the patient continued with optimal *** Combined functional and anatomic imaging of intermediate coronary stenosis in diabetic patients represent comprehensive contemporary decision pathway in the management of the patients.

关键词： Fractional flow reserve Coronary flow reserve Index of microvascular resistance Optical coherence tomography Intermediate coronary stenosis Case report

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