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

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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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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Cytokine landscapes of pregnancy:mapping gestational immune phases

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Gynecology and Obstetrics Clinical Medicine 2024年第1期4卷 56-64页

作者： Sulagna Dutta Pallav Sengupta Fong Fong Liew Basic Medical sciences department College of MedicineAjman UniversityAjmanUAE department of Biomedical sciences Gulf Medical UniversityAjmanUAE department of Preclinical sciences Faculty of DentistryMAHSA UniversityKuala LumpurMalaysia

Background Synchronised physiological adaptations occur during pregnancy to achieve systemic,immune and neuroendocrine equilibrium in the mother's body,allowing semiallogenic fetal *** text Depending on the cytokine profile alterations occurring through pregnancy,the latter can be divided into three distinct *** the first immunological phase of pregnancy,proinflammatory cytokines promote inflammatory reactions needed for *** the second phase,a possible change from proinflammatory to anti-inflammatory cytokines creates a symbiosis between maternal and fetal components,ensuring fetal *** the third phase,inflammatory and cytolytic cytokines operate again to reinforce an inflammatory environment for *** article offers a detailed account of immune adaptations during pregnancy and highlights the distinctive cytokine profiles that mark each *** By providing a simplified depiction of pregnancy phases based on cytokine profiles,the article aims to inspire more research in reproductive immunology and improve the management of pregnancy-related inflammation and infection.

关键词： pregnancy mother alterations

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A Study on the Transmission Dynamics of the Omicron Variant of COVID-19 Using Nonlinear Mathematical Models

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Computer Modeling in Engineering & sciences 2024年第6期139卷 2265-2287页

作者： S.Dickson S.Padmasekaran Pushpendra Kumar Kottakkaran Sooppy Nisar Hamidreza Marasi department of mathematics Periyar UniversitySalemTamilnadu636011India Faculty of Engineering and Natural sciences Istanbul Okan UniversityIstanbulTurkey department of mathematics College of Science and Humanities in AlkharjPrince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia department of Applied mathematics Faculty of MathematicsStatistics and Computer ScienceUniversity of TabrizTabrizIran

This research examines the transmission dynamics of the Omicron variant of COVID-19 using SEIQIcRVW and SQIRV models,considering the delay in converting susceptible individuals into infected *** significant delays eventually resulted in the pandemic’s *** ensure the safety of the host population,this concept integrates quarantine and the COVID-19 *** investigate the stability of the proposed *** fundamental reproduction number influences stability *** to our findings,asymptomatic cases considerably impact the prevalence of Omicron infection in the *** real data of the Omicron variant from Chennai,Tamil Nadu,India,is used to validate the outputs.

关键词： Omicron local stability reproduction number steady states global stability

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Physical properties and maximum allowable mass-radius relation of complexity-free compact stellar objects within modified f(R,T)gravity formalism

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Chinese Physics C 2024年第7期48卷 273-288页

作者： M.K.Jasim S.K.Maurya Abdelghani Errehymy Ali Khalid Jassim Kottakkaran Sooppy Nisar Abdel-Haleem Abdel-Aty department of Mathematical and Physical sciences College of Arts and SciencesUniversity of NizwaNizwa 616Sultanate of Oman Astrophysics Research Centre School of MathematicsStatistics and Computer ScienceUniversity of KwaZulu-NatalPrivate Bag X54001Durban 4000South Africa Electrical Engineering department College of EngineeringMustansiriyah UniversityBaghdadIraq department of mathematics College of Science and Humanities in AlkharjPrince Sattam bin Abdulaziz UniversityAl KharjSaudi Arabia department of Physics College of SciencesUniversity of BishaP.O.Box 344Bisha 61922Saudi Arabia

This paper investigates the physical properties and predicted radii of compact stars generated by the Tolman-IV complexity-free model within the background of modified gravity theory,particularly the f(R,T)-gravity theory,under complexity formalism for a spherically symmetric spacetime proposed by ***[Phys Rev D 97:044010,2018].By solving the resulting set of differential equations,we obtain the explicit forms of the energy-momentum(EM)tensor components,including the density,radial pressure,and tangential *** influence of the parameterχon various physical properties of the star is thoroughly *** model undergoes a series of rigorous tests to determine its physical *** findings indicate that the model exhibits regularity,stability,and a surface with vanishing *** boundary of this surface is determined by carefully selecting the parameter *** complexity method employed in f(R,T)gravity offers an interesting approach for developing astrophysical models that are consistent with observable events as demonstrated by recent *** this regard,we use observational data from the GW190814 event,detected by the LIGO and Virgo observatories,to investigate the validity of the Tolman-IV model in f(R,T)*** analysis includes comparing the model's predictions with the observed characteristics of the compact object involved in the *** addition,data from two-millisecond pulsars,PSR J1614-2230 and PSR J0952-0607,are incorporated to further constrain the theoretical ***,we present a diagram depicting the relationship between the total mass and radius of the compact object candidates for different values ofχ.

关键词： complexity modified gravity compact Stars

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A New Scheme of the ARA Transform for Solving Fractional-Order Waves-Like Equations Involving Variable Coefficients

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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 761-791页

作者： Yu-Ming Chu Sobia Sultana Shazia Karim Saima Rashid Mohammed Shaaf Alharthi department of mathematics Huzhou UniversityHuzhou313000China department of mathematics Imam Mohammad Ibn Saud Islamic UniversityRiyadh11461Saudi Arabia department of Basic sciences and humanities UET LahoreFaisalabad Campus54800Pakistan department of mathematics Government College UniversityFaisalabad38000Pakistan department of mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

The goal of this research is to develop a new,simplified analytical method known as the ARA-residue power series method for obtaining exact-approximate solutions employing Caputo type fractional partial differential equations(PDEs)with variable ***-transform is a robust and highly flexible generalization that unifies several existing *** key concept behind this method is to create approximate series outcomes by implementing the ARA-transform and Taylor’s *** process of finding approximations for dynamical fractional-order PDEs is challenging,but the ARA-residual power series technique magnifies this challenge by articulating the solution in a series pattern and then determining the series coefficients by employing the residual component and the limit at infinity *** approach is effective and useful for solving a massive class of fractional-order *** appealing implementations are taken into consideration to demonstrate the effectiveness of the projected technique in creating solitary series findings for the governing equations with variable ***,several visualizations are drawn for different fractional-order *** that,the estimated findings by the proposed technique are in close agreement with the exact ***,statistical analyses further validate the efficacy,dependability and steady interconnectivity of the suggested ARA-residue power series approach.

关键词： ARA-transform Caputo fractional derivative residue-power seriesmethod analytical solutions statistical analysis

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A NovelMethod for Determining Tourism Carrying Capacity in a Decision-Making Context Using q−Rung Orthopair Fuzzy Hypersoft Environment

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Computer Modeling in Engineering & sciences 2024年第2期138卷 1951-1979页

作者： Salma Khan Muhammad Gulistan NasreenKausar Seifedine Kadry Jungeun Kim department of mathematics and Statistics Hazara UniversityMansehra21120Pakistan department of mathematics Faculty of Arts and SciencesYildiz Technical UniversityEsenlerIstanbul34210Turkey department of Applied Data Science Noroff University CollegeKristiansand4612Norway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman346United Arab Emirates department of Electrical and Computer Engineering Lebanese American UniversityP.O.Box 13-5053ByblosLebanon department of Software and CMPSI Konju National UniversityCheonan31080Korea

Tourism is a popular activity that allows individuals to escape their daily routines and explore new destinations for various reasons,including leisure,pleasure,or business.A recent study has proposed a unique mathematical concept called a q−Rung orthopair fuzzy hypersoft set(q−ROFHS)to enhance the formal representation of human thought processes and evaluate tourism carrying *** approach can capture the imprecision and ambiguity often present in human *** the advanced mathematical tools in this field,the study has also incorporated the Einstein aggregation operator and score function into the q−ROFHS values to supportmultiattribute decision-making *** implementing this technique,effective plans can be developed for social and economic development while avoiding detrimental effects such as overcrowding or environmental damage caused by tourism.A case study of selected tourism carrying capacity will demonstrate the proposed methodology.

关键词： q−Rung orthopair fuzzy hypersoft set decision-making tourism carrying capacity aggregation operator

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Role of flexible sensors for the electrochemical detection of organophosphate-based chemical warfare agents

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International Journal of Smart and Nano Materials 2024年第3期15卷 502-533页

作者： Aman Dubey Aamir Ahmed Rakesh Singh Anoop Singh Ashok K.Sundramoorthy Sandeep Arya department of Physics University of JammuJammuJammu and KashmirIndia department of humanities and sciences Guru Nanak Institutions Technical CampusHyderabadIndia Centre for Global Health Research Saveetha Medical College and HospitalsSaveetha Institute of Medical and Technical SciencesChennaiTamil NaduIndia department of Prosthodontics Saveetha Dental College and HospitalsSaveetha Institute of Medical and Technical SciencesChennaiTamil NaduIndia

This review article comprehensively explores the electrochemi-cal detection of organophosphate-based agents,including war-fare agents,pesticides,and *** provides an in-depth analysis of their molecular structures,emphasizing the inherent toxicity and environmental risks posed by these *** review highlights the significant role of flexible sensors in facilitating the electrochemical detection of organophosphate-based agents,offering insights into their design,development,and application in detection ***,the article critically evaluates the challenges encountered in this field,such as sensor sensitivity and sample complexity,and discusses potential solutions to address these ***,it outlines the future scope and opportunities for advancement in electrochemical detection technologies,includ-ing the integration of novel materials and the exploration of innovative detection *** synthesizing current research findings and identifying future research directions,this review contributes to the ongoing discourse on the detection and mitigation of organophosphate-based agents’risks to human health and the environment.

关键词： Chemical warfare agents electrochemical detection flexible nanosensors organophosphates pesticides

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Novelty of Different Distance Approach for Multi-Criteria Decision-Making Challenges Using q-Rung Vague Sets

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Computer Modeling in Engineering & sciences 2024年第6期139卷 3353-3385页

作者： Murugan Palanikumar Nasreen Kausar Dragan Pamucar Seifedine Kadry Chomyong Kim Yunyoung Nam Saveetha School of Engineering Saveetha Institute of Medical and Technical SciencesChennai602105India department of mathematics Faculty of Arts and ScienceYildiz Technical UniversityEsenlerIstanbul34220Turkey department of Operations Research and Statistics Faculty of Organizational SciencesUniversity of BelgradeBelgrade11000Serbia college of Engineering Yuan Ze UniversityTaoyuan City320315TaiwanChina department of Applied Data Science Noroff University CollegeKristiansand4612Norway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman346United Arab Emirates department of Electrical and Computer Engineering Lebanese American UniversityByblos1102-2801Lebanon ICT Convergence Research Center Soonchunhyang UniversityAsan31538South Korea department of Computer Science and Engineering Soonchunhyang UniversityAsan31538South Korea

In this article,multiple attribute decision-making problems are solved using the vague normal set(VNS).It is possible to generalize the vague set(VS)and q-rung fuzzy set(FS)into the q-rung vague set(VS).A log q-rung normal vague weighted averaging(log q-rung NVWA),a log q-rung normal vague weighted geometric(log q-rung NVWG),a log generalized q-rung normal vague weighted averaging(log Gq-rung NVWA),and a log generalized q-rungnormal vagueweightedgeometric(logGq-rungNVWG)operator are discussed in this *** is provided of the scoring function,accuracy function and operational laws of the log q-rung *** algorithms underlying these functions are also described.A numerical example is provided to extend the Euclidean distance and the Humming ***,idempotency,boundedness,commutativity,and monotonicity of the log q-rung VS are examined as they facilitate recognizing the optimal alternative more quickly and help clarify *** chose five anemia patients with four types of symptoms including seizures,emotional shock or hysteria,brain cause,and high fever,who had either retrograde amnesia,anterograde amnesia,transient global amnesia,post-traumatic amnesia,or infantile *** numbers q are used to express the results of the *** demonstrate the effectiveness and accuracy of the models we are investigating,we compare several existing models with those that have been developed.

关键词： Vague set aggregating operators euclidean distance hamming distance decision making

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Robust Machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-Ray Images

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Computer Modeling in Engineering & sciences 2024年第2期138卷 1981-2004页

作者： Shaik Mahaboob Basha Victor Hugo Cde Albuquerque Samia Allaoua Chelloug Mohamed Abd Elaziz Shaik Hashmitha Mohisin Suhail Parvaze Pathan department of Electronics and Communication Engineering N.B.K.R.Institute of Science&TechnologyVidyanagarAndhra Pradesh524413India department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil Information Technology department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia department of mathematics Faculty of ScienceZagazig UniversityZagazig44519Egypt Faculty of Computer Science and Engineering Galala UniversitySuez435611Egypt Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates department of Electrical and Computer Engineering Lebanese American UniversityByblos13-5053Lebanon department of Avionics Indian Institute of Space Science and TechnologyThiruvananthapuramKerala695547India department of Veterinary Clinical sciences University of MinnesotaSt.PaulMinnesota55108USA

Manual investigation of chest radiography(CXR)images by physicians is crucial for effective decision-making in COVID-19 ***,the high demand during the pandemic necessitates auxiliary help through image analysis and machine learning *** study presents a multi-threshold-based segmentation technique to probe high pixel intensity regions in CXR images of various pathologies,including normal *** information is extracted using gray co-occurrence matrix(GLCM)-based features,while vessel-like features are obtained using Frangi,Sato,and Meijering *** learning models employing Decision Tree(DT)and RandomForest(RF)approaches are designed to categorize CXR images into common lung infections,lung opacity(LO),COVID-19,and viral pneumonia(VP).The results demonstrate that the fusion of texture and vesselbased features provides an effective ML model for aiding *** ML model validation using performance measures,including an accuracy of approximately 91.8%with an RF-based classifier,supports the usefulness of the feature set and classifier model in categorizing the four different ***,the study investigates the importance of the devised features in identifying the underlying pathology and incorporates histogrambased *** analysis reveals varying natural pixel distributions in CXR images belonging to the normal,COVID-19,LO,and VP groups,motivating the incorporation of additional features such as mean,standard deviation,skewness,and percentile based on the filtered ***,the study achieves a considerable improvement in categorizing COVID-19 from LO,with a true positive rate of 97%,further substantiating the effectiveness of the methodology implemented.

关键词： Chest radiography(CXR)image COVID-19 classifier machine learning random forest texture analysis

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