This research examines the numerical study of a two-dimensional magnetohydrodynamic flow of nanofluid with copper nanoparticles across a stretched sheet. Active control and passive control are the two forms of conditions that are applied to the molar concentration distribution. The surface concentration is regarded as constant under the active control condition, indicating that there is a mass flow on the surface of the sheet. The shooting approach is used to solve the current mathematical model. The precision of the current model is substantiated by matching the current findings with those that have been published. According to the results, a higher magnetic factor improves the temperature and micro-rotation profiles while decreasing the velocity profile. The velocity distribution is improved and the micro-rotation profiles are decreased with a larger micropolar factor. For active and control nanoparticles, a higher Brownian motion factor improves the temperature profiles while decreasing the concentration profiles. For both active and controlled nanoparticles, a higher thermophoresis factor improves thermal and concentration distributions. Skin friction is improved by higher values of the magnetic, stretching, and micropolar parameters and decreased by higher values of the slip factor. A larger heat source and thermal Biot number increase heat transfer rate, but higher thermophoresis and Brownian motion components decrease it.
{"title":"Active and passive control of radiative MHD water-based copper nanofluid flow over a stretching surface","authors":"Humaira Yasmin , Rawan Bossly , Fuad S. Alduais , Afrah Al-Bossly , Anwar Saeed","doi":"10.1016/j.jrras.2025.101363","DOIUrl":"10.1016/j.jrras.2025.101363","url":null,"abstract":"<div><div>This research examines the numerical study of a two-dimensional magnetohydrodynamic flow of nanofluid with copper nanoparticles across a stretched sheet. Active control and passive control are the two forms of conditions that are applied to the molar concentration distribution. The surface concentration is regarded as constant under the active control condition, indicating that there is a mass flow on the surface of the sheet. The shooting approach is used to solve the current mathematical model. The precision of the current model is substantiated by matching the current findings with those that have been published. According to the results, a higher magnetic factor improves the temperature and micro-rotation profiles while decreasing the velocity profile. The velocity distribution is improved and the micro-rotation profiles are decreased with a larger micropolar factor. For active and control nanoparticles, a higher Brownian motion factor improves the temperature profiles while decreasing the concentration profiles. For both active and controlled nanoparticles, a higher thermophoresis factor improves thermal and concentration distributions. Skin friction is improved by higher values of the magnetic, stretching, and micropolar parameters and decreased by higher values of the slip factor. A larger heat source and thermal Biot number increase heat transfer rate, but higher thermophoresis and Brownian motion components decrease it.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101363"},"PeriodicalIF":1.7,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-24DOI: 10.1016/j.jrras.2025.101378
Ahmed M. Galal , Faiza Benabdallah , Dyana Aziz Bayz , Dennis Ling Chuan Ching , Abid Ali Memon , Munawar Abbas , Ilyas Khan , Yahia Said
Analyze the influence of thermal radiation on the flow of a trihybrid nanofluid across a disk using local thermal non-equilibrium effects. In the present study, the consequence of gyrotactic microorganisms and porous media are examined. The impact of Marangoni convection and convective conditions are examined in connection with mass and heat transport phenomena. utilizing a simple scientific model, the current study examines the characteristics of temperature transmission utilizing the local thermal equilibrium condition (LTNC) and the local non-equilibrium condition (LTEC). The LTNE classical approach generates two different fundamental thermal gradients for the solid and liquid phases. By increasing thermal conductivity and stability in challenging environments, this model can maximize thermal management in cooling and heat transfer technologies, such as microreactors and electronic devices. The model aids biomedical engineers in comprehending the behavior of microorganisms in complex fluid systems and has potential uses in the development of biosensors. The model can also be used in environmental engineering to study pollution dispersion and energy systems to increase heat exchanger efficiency. The derived equations are numerically resolved using the bvp4c method. Furthermore, it has been discovered that an increase in the interphase heat transmission factor improves the rate of heat transmission in both the solid and liquid states.
{"title":"Effect of thermal radiation on Marangoni convective flow of ternary hybrid nanofluid with bioconvection and local thermal non-equilibrium effects","authors":"Ahmed M. Galal , Faiza Benabdallah , Dyana Aziz Bayz , Dennis Ling Chuan Ching , Abid Ali Memon , Munawar Abbas , Ilyas Khan , Yahia Said","doi":"10.1016/j.jrras.2025.101378","DOIUrl":"10.1016/j.jrras.2025.101378","url":null,"abstract":"<div><div>Analyze the influence of thermal radiation on the flow of a trihybrid nanofluid across a disk using local thermal non-equilibrium effects. In the present study, the consequence of gyrotactic microorganisms and porous media are examined. The impact of Marangoni convection and convective conditions are examined in connection with mass and heat transport phenomena. utilizing a simple scientific model, the current study examines the characteristics of temperature transmission utilizing the local thermal equilibrium condition (LTNC) and the local non-equilibrium condition (LTEC). The LTNE classical approach generates two different fundamental thermal gradients for the solid and liquid phases. By increasing thermal conductivity and stability in challenging environments, this model can maximize thermal management in cooling and heat transfer technologies, such as microreactors and electronic devices. The model aids biomedical engineers in comprehending the behavior of microorganisms in complex fluid systems and has potential uses in the development of biosensors. The model can also be used in environmental engineering to study pollution dispersion and energy systems to increase heat exchanger efficiency. The derived equations are numerically resolved using the bvp4c method. Furthermore, it has been discovered that an increase in the interphase heat transmission factor improves the rate of heat transmission in both the solid and liquid states.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101378"},"PeriodicalIF":1.7,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-22DOI: 10.1016/j.jrras.2025.101368
Walaa Gamaleldin , Osama Attayyib , Linda Mohaisen , Nadir Omer , Ruixing Ming
This paper proposes a hybrid Convolutional Neural Network (CNN) and Linear Discriminant Analysis (LDA) model that combines a deep convolutional neural network and linear discriminant analysis to investigate anti-selection risk in insurance markets. The model enhances risk assessments using extensive data from insurance companies' big data sources and advanced machine learning algorithms. This improves the detection of anti-selection tendencies and enhances overall risk management techniques. After the final convolution layer, we add a Linear Discriminant Analysis layer to the backbone model Convolutional Neural Network. The Linear Discriminant Analysis layer allows the model to gather features, minimizing variation within each class and maximizing separation between different classes. After the Linear Discriminant Analysis layer, we append a fresh, fully connected (FC) layer with softmax activation and made comprehensive adjustments. We employ both Convolutional Neural Network and Linear Discriminant Analysis models to extract features and perform classification. The hybrid Convolutional Neural Network (CNN) and Linear Discriminant Analysis (LDA) model demonstrate superior reliability, with a test accuracy score of 97.4%, surpassing the classification accuracy of the Convolutional Neural Network and Linear Discriminant Analysis models with 90.2% and 91.3%, respectively.
{"title":"Developing a hybrid model based on Convolutional Neural Network (CNN) and Linear Discriminant Analysis (LDA) for investigating anti-selection risk in insurance","authors":"Walaa Gamaleldin , Osama Attayyib , Linda Mohaisen , Nadir Omer , Ruixing Ming","doi":"10.1016/j.jrras.2025.101368","DOIUrl":"10.1016/j.jrras.2025.101368","url":null,"abstract":"<div><div>This paper proposes a hybrid Convolutional Neural Network (CNN) and Linear Discriminant Analysis (LDA) model that combines a deep convolutional neural network and linear discriminant analysis to investigate anti-selection risk in insurance markets. The model enhances risk assessments using extensive data from insurance companies' big data sources and advanced machine learning algorithms. This improves the detection of anti-selection tendencies and enhances overall risk management techniques. After the final convolution layer, we add a Linear Discriminant Analysis layer to the backbone model Convolutional Neural Network. The Linear Discriminant Analysis layer allows the model to gather features, minimizing variation within each class and maximizing separation between different classes. After the Linear Discriminant Analysis layer, we append a fresh, fully connected (FC) layer with softmax activation and made comprehensive adjustments. We employ both Convolutional Neural Network and Linear Discriminant Analysis models to extract features and perform classification. The hybrid Convolutional Neural Network (CNN) and Linear Discriminant Analysis (LDA) model demonstrate superior reliability, with a test accuracy score of 97.4%, surpassing the classification accuracy of the Convolutional Neural Network and Linear Discriminant Analysis models with 90.2% and 91.3%, respectively.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101368"},"PeriodicalIF":1.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-20DOI: 10.1016/j.jrras.2025.101341
Syed Arshad Abas , Hakeem Ullah , Mehreen Fiza , Aasim Ullah Jan , Ali Akgül , A.S. Hendy , Samira Elaissi , Ibrahim Mahariq , Ilyas Khan
The flow confined between bounded surfaces is referred to as internal flow. This flow between two disks has numerous advantages, including, food processing, gas turbine rotors, air purification and rotatory machinery. The thermal conductivity and heat transfer properties of nanoparticles make them highly valuable in various engineering and industrial fields. Both disks rotate with an angular velocity at the lower disk and at the upper disk. The hybrid nanofluid is formed by mixing copper and silver nanoparticles with Kerosene oil, enhancing its thermal conductivity. A constant magnetic field of intensity is applied parallel to axis. Furthermore, innovative effects of Soret and Dufour numbers, thermophysical features of hybrid nanofluid, viscous dissipation, and joule heating are taken, and a new model for heat transport is achieved. The leading equations are transformed into dimensionless forms using suitable transformations. The homotopy analysis method (HAM) is employed to obtain the solution of these transformed ordinary differential equations (ODEs). The non-dimensional physical parameters like magnetic field, stretching parameters of upper and lower disks, Soret and Dufour numbers, chemical reaction parameter, Eckert number, rotation parameter and Schmidt number that influence the velocities, temperature, and concentration distributions are presented through graphs and discussed briefly. Increasing the magnetic and upper disk stretching parameters, the axial velocity drops, but the lower stretching factor escalates the axial velocity. Sherwood number is escalated by expanding Schmidt number and chemical reaction parameters, while dropped against Soret number. The temperature profile declines with the snowballing in the Dufour parameter. The conclusions demonstrate that the effect of the magnetic parameter improved skin friction by 5.2%. The effect of the magnetic parameter on skin friction at the lower disk is 3.4% better than nanofluid. The Nusselt number at both disks escalates against the radiation parameter by 5.2% (Lower disk) and 6%, (Upper disk).
{"title":"Effects of Joule heating on MHD flow of hybrid nanofluid between rotating disks","authors":"Syed Arshad Abas , Hakeem Ullah , Mehreen Fiza , Aasim Ullah Jan , Ali Akgül , A.S. Hendy , Samira Elaissi , Ibrahim Mahariq , Ilyas Khan","doi":"10.1016/j.jrras.2025.101341","DOIUrl":"10.1016/j.jrras.2025.101341","url":null,"abstract":"<div><div>The flow confined between bounded surfaces is referred to as internal flow. This flow between two disks has numerous advantages, including, food processing, gas turbine rotors, air purification and rotatory machinery. The thermal conductivity and heat transfer properties of nanoparticles make them highly valuable in various engineering and industrial fields. Both disks rotate with an angular velocity <span><math><mrow><msub><mi>Ω</mi><mn>1</mn></msub></mrow></math></span> at the lower disk and <span><math><mrow><msub><mi>Ω</mi><mn>2</mn></msub></mrow></math></span> at the upper disk. The hybrid nanofluid is formed by mixing copper and silver nanoparticles with Kerosene oil, enhancing its thermal conductivity. A constant magnetic field of intensity <span><math><mrow><msub><mi>B</mi><mn>0</mn></msub></mrow></math></span> is applied parallel to <span><math><mrow><mi>z</mi><mo>−</mo></mrow></math></span> axis. Furthermore, innovative effects of Soret and Dufour numbers, thermophysical features of hybrid nanofluid, viscous dissipation, and joule heating are taken, and a new model for heat transport is achieved. The leading equations are transformed into dimensionless forms using suitable transformations. The homotopy analysis method (HAM) is employed to obtain the solution of these transformed ordinary differential equations (ODEs). The non-dimensional physical parameters like magnetic field, stretching parameters of upper and lower disks, Soret and Dufour numbers, chemical reaction parameter, Eckert number, rotation parameter and Schmidt number that influence the velocities, temperature, and concentration distributions are presented through graphs and discussed briefly. Increasing the magnetic and upper disk stretching parameters, the axial velocity drops, but the lower stretching factor escalates the axial velocity. Sherwood number is escalated by expanding Schmidt number and chemical reaction parameters, while dropped against Soret number. The temperature profile declines with the snowballing in the Dufour parameter. The conclusions demonstrate that the effect of the magnetic parameter improved skin friction by 5.2%. The effect of the magnetic parameter on skin friction at the lower disk is 3.4% better than nanofluid. The Nusselt number at both disks escalates against the radiation parameter by 5.2% (Lower disk) and 6%, (Upper disk).</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101341"},"PeriodicalIF":1.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-20DOI: 10.1016/j.jrras.2025.101376
Zhengwei Wang , Ruibin Jing , Rui Zhang
Objective
Taking marathon running as an example, this study discusses the influence of track and field on college students' cardiac autonomic nervous system by combining medical influence analysis technology, so as to provide more scientific, reasonable and healthy exercise guidance for college students and provide reference for solving the problem of adolescent physical decline and sub-health.
Methods
Among the three universities in C city, 42 college students are recruited as volunteers. Through random drawing, volunteers are randomly divided into 3 groups of 14 people each, designated as the Athletics Group (T), Aerobic Group (A), and Blank Group (B). Exercise intervention is conducted on the T and A, with a unified intervention time of 2 months. After warming up for 5 min, the T begins a formal 30 min long run, followed by a 5-min stretch. After warming up for 5 min, the A follows the coach to do High-Intensity Interval Training (HIIT) aerobic exercise for 28 min, and then undergo 5 min of stretching. The B does not receive any exercise intervention. The changes in cardiac autonomic nervous system of volunteers before and after exercise are analyzed using Polar tables and heart rate transport belts. Before exercise intervention, medical imaging techniques echocardiography (ECG) and electrocardiogram were used to evaluate the heart structure and function of volunteers. After exercise intervention, medical imaging technology was used to evaluate the changes of cardiac autonomic nervous system again.
Results
Before exercise, the three groups were no difference in various Heart Rate Variability (HRV) indicators (P > 0.05). During exercise, there were changes in various HRV indicators in the T and A compared with before exercise (P < 0.05). After exercise, there were significant changes in the HRV indicators for T and A (P < 0.05), and the HRV indicators of T showed more significant changes compared with A (P < 0.05). Before and after the experiment, there were no changes in HRV, weight, and BMI index of B (P > 0.05). The HRV, weight, and BMI of volunteers in T and A were improved (P < 0.05). Compared with A, the improvement effect of T was more significant (P < 0.05). Compared with the control group, the experimental group has significantly improved all clinical parameters and imaging findings.
Conclusion
Compared with HIIT aerobic exercise, athletics can more effectively improve the autonomic nervous system function of college students, thereby enhancing their physical fitness.
{"title":"The impact of sports activities on the cardiac autonomic nervous system changes in college students and medical imaging analysis","authors":"Zhengwei Wang , Ruibin Jing , Rui Zhang","doi":"10.1016/j.jrras.2025.101376","DOIUrl":"10.1016/j.jrras.2025.101376","url":null,"abstract":"<div><h3>Objective</h3><div>Taking marathon running as an example, this study discusses the influence of track and field on college students' cardiac autonomic nervous system by combining medical influence analysis technology, so as to provide more scientific, reasonable and healthy exercise guidance for college students and provide reference for solving the problem of adolescent physical decline and sub-health.</div></div><div><h3>Methods</h3><div>Among the three universities in C city, 42 college students are recruited as volunteers. Through random drawing, volunteers are randomly divided into 3 groups of 14 people each, designated as the Athletics Group (T), Aerobic Group (A), and Blank Group (B). Exercise intervention is conducted on the T and A, with a unified intervention time of 2 months. After warming up for 5 min, the T begins a formal 30 min long run, followed by a 5-min stretch. After warming up for 5 min, the A follows the coach to do High-Intensity Interval Training (HIIT) aerobic exercise for 28 min, and then undergo 5 min of stretching. The B does not receive any exercise intervention. The changes in cardiac autonomic nervous system of volunteers before and after exercise are analyzed using Polar tables and heart rate transport belts. Before exercise intervention, medical imaging techniques echocardiography (ECG) and electrocardiogram were used to evaluate the heart structure and function of volunteers. After exercise intervention, medical imaging technology was used to evaluate the changes of cardiac autonomic nervous system again.</div></div><div><h3>Results</h3><div>Before exercise, the three groups were no difference in various Heart Rate Variability (HRV) indicators (<em>P</em> > 0.05). During exercise, there were changes in various HRV indicators in the T and A compared with before exercise (<em>P</em> < 0.05). After exercise, there were significant changes in the HRV indicators for T and A (<em>P</em> < 0.05), and the HRV indicators of T showed more significant changes compared with A (<em>P</em> < 0.05). Before and after the experiment, there were no changes in HRV, weight, and BMI index of B (<em>P</em> > 0.05). The HRV, weight, and BMI of volunteers in T and A were improved (<em>P</em> < 0.05). Compared with A, the improvement effect of T was more significant (<em>P</em> < 0.05). Compared with the control group, the experimental group has significantly improved all clinical parameters and imaging findings.</div></div><div><h3>Conclusion</h3><div>Compared with HIIT aerobic exercise, athletics can more effectively improve the autonomic nervous system function of college students, thereby enhancing their physical fitness.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101376"},"PeriodicalIF":1.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-20DOI: 10.1016/j.jrras.2025.101369
Munawar Abbas , A.H. Alzahrani , Hawzhen Fateh M. Ameen , Nahid Fatima , Aboulbaba Eladeb , Humaira Kanwal , Y. Khan , Lioua Kolsi , Maawiya Ould Sidi , Ahmed M. Galal
The current study investigates the Darcy-Forchheimer flow of Synovial fluid over a heated disk with Marangoni convection, thermal radiation and heat source incorporating two viscosity models with magnetohydrodynamic effect. The areas around synovial joints contain synovial fluid, a viscoelastic fluid. Reduced friction during motion between the articular cartilages of synovial joints is the main purpose of synovial fluid. This study holds significant uses in the field of biomedical engineering and industrial processes. In the medical realm, this model could aid in understanding the heat and mass transfer dynamics within joints, potentially offering insights into conditions like arthritis. In industrial processes, the model could be used to optimize heat exchangers involving complex fluid mixtures with chemical reactions, enhancing energy efficiency. The resultant partial differential equation is highly nonlinear, coupled, and complex, and are converted into ordinary differential equations with the use of a suitable transformation. The shooting technique is used to solve the transformed ordinary differential equations numerically (Bvp4c). Higher surface tension gradients develop by rises in the Marangoni convection parameter, and this improves the mass and heat transmission inside the fluid by making the induced flow more effective. These characteristics spread more evenly across the fluid as the temperature and concentration profiles drop. A greater Weissenberg number also results in a slower fluid velocity. Examining the impact of different parameters on joint friction allows one to investigate the nature of the lubricant in fluids.
{"title":"Thermal radiation effect on Darcy-forchheimer flow of synovial fluid over heated disk: Applications of thermal engineering via two viscosity models","authors":"Munawar Abbas , A.H. Alzahrani , Hawzhen Fateh M. Ameen , Nahid Fatima , Aboulbaba Eladeb , Humaira Kanwal , Y. Khan , Lioua Kolsi , Maawiya Ould Sidi , Ahmed M. Galal","doi":"10.1016/j.jrras.2025.101369","DOIUrl":"10.1016/j.jrras.2025.101369","url":null,"abstract":"<div><div>The current study investigates the Darcy-Forchheimer flow of Synovial fluid over a heated disk with Marangoni convection, thermal radiation and heat source incorporating two viscosity models with magnetohydrodynamic effect. The areas around synovial joints contain synovial fluid, a viscoelastic fluid. Reduced friction during motion between the articular cartilages of synovial joints is the main purpose of synovial fluid. This study holds significant uses in the field of biomedical engineering and industrial processes. In the medical realm, this model could aid in understanding the heat and mass transfer dynamics within joints, potentially offering insights into conditions like arthritis. In industrial processes, the model could be used to optimize heat exchangers involving complex fluid mixtures with chemical reactions, enhancing energy efficiency. The resultant partial differential equation is highly nonlinear, coupled, and complex, and are converted into ordinary differential equations with the use of a suitable transformation. The shooting technique is used to solve the transformed ordinary differential equations numerically (Bvp4c). Higher surface tension gradients develop by rises in the Marangoni convection parameter, and this improves the mass and heat transmission inside the fluid by making the induced flow more effective. These characteristics spread more evenly across the fluid as the temperature and concentration profiles drop. A greater Weissenberg number also results in a slower fluid velocity. Examining the impact of different parameters on joint friction allows one to investigate the nature of the lubricant in fluids.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101369"},"PeriodicalIF":1.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-19DOI: 10.1016/j.jrras.2025.101365
Arpita Sannagoudra , Hanumagowda B. N , Girish Sharma , S.V.K. Varma , Ahmed Ahmed Ibrahim , Mohammed A. El-Meligy , Jagadish V. Tawade , Hawzhen Fateh M. Ameen , Nadia Batool
This research aims to conduct a computational investigation of heat and mass transfer processes in a magnetohydrodynamic flow over a mobile permeable vertical porous plate using a hybrid nanofluid composed of , including the effects of radiation. The constitutive equations are modified and solved computationally using the method. The findings are presented for various parameters, including magnetic field strength, suction/blowing effects, Schmidt number, radiation, nanofluid concentration, Reynolds number, buoyancy ratio, chemical reaction rate, and Prandtl number, which influence flow characteristics, mass transfer, and heat transfer. The improvement in heat transfer efficiency due to thermal radiation indicates its potential practical use in solar panels and water heating systems. Such a kind of system has the potential to help alleviate discomfort and inflammation through thermal therapy, design heating systems, and construct infrared sensing devices, thermal protection systems, and heat shields.
{"title":"Electromagnetic free convective flow of a radiative, chemically reactive hybrid nanofluid over a moving vertical surface: With effects of porous medium","authors":"Arpita Sannagoudra , Hanumagowda B. N , Girish Sharma , S.V.K. Varma , Ahmed Ahmed Ibrahim , Mohammed A. El-Meligy , Jagadish V. Tawade , Hawzhen Fateh M. Ameen , Nadia Batool","doi":"10.1016/j.jrras.2025.101365","DOIUrl":"10.1016/j.jrras.2025.101365","url":null,"abstract":"<div><div>This research aims to conduct a computational investigation of heat and mass transfer processes in a magnetohydrodynamic flow over a mobile permeable vertical porous plate using a hybrid nanofluid composed of <span><math><mrow><mi>T</mi><mi>i</mi><msub><mi>O</mi><mn>2</mn></msub><mo>−</mo><mi>C</mi><mi>u</mi><mo>/</mo><mi>w</mi><mi>a</mi><mi>t</mi><mi>e</mi><mi>r</mi></mrow></math></span>, including the effects of radiation. The constitutive equations are modified and solved computationally using the <span><math><mrow><mi>b</mi><mi>v</mi><mi>p</mi><mn>4</mn><mi>c</mi></mrow></math></span> method. The findings are presented for various parameters, including magnetic field strength, suction/blowing effects, Schmidt number, radiation, nanofluid concentration, Reynolds number, buoyancy ratio, chemical reaction rate, and Prandtl number, which influence flow characteristics, mass transfer, and heat transfer. The improvement in heat transfer efficiency due to thermal radiation indicates its potential practical use in solar panels and water heating systems. Such a kind of system has the potential to help alleviate discomfort and inflammation through thermal therapy, design heating systems, and construct infrared sensing devices, thermal protection systems, and heat shields.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101365"},"PeriodicalIF":1.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates numerically the flow of water and ethylene glycol-based nanofluids across a spinning sphere surface. The nanofluid flow at a stagnation point across a gyrating sphere is considered to be laminar, time-dependent, and incompressible. When examining the nanofluid flow, thermal radiation and thermal slip are taken into account. PDEs are used to formulate the problem, and similarity variables are used to convert them into ODEs. MATLAB software is utilized to evaluate the modified ODEs by a numerical method known as bvp4c. The acquired results display that higher values of acceleration factor enhanced the velocity profile along x-axis and declined the velocity profile along z-axis and temperature profiles. The accelerated values of mixed convection factor enhanced the velocity profile along x-axis while retarded velocity characteristics along z-axis and temperature profiles. The greater values of thermal radiation and thermal slip factors have reduced the temperature distribution. The greater velocity and temperature profiles are observed for water-based nanofluid flow when matched with ethylene glycol-based nanofluid flow. The ethylene glycol-based nanofluids flows have higher skin friction coefficients and rate of heat transference than those of water-based nanofluids flows. To validate the method used in this, a comparative analysis of current results with established work has carried out. An excellent promise among the present and published data-set is determined that authenticates current results.
{"title":"Numerical analysis of mixed convective stagnation point flow of a nanofluid over a rotating sphere with thermal radiation and slip effects","authors":"Fahad Maqbul Alamrani , Mounirah Areshi , Anwar Saeed , Gabriella Bognár","doi":"10.1016/j.jrras.2025.101367","DOIUrl":"10.1016/j.jrras.2025.101367","url":null,"abstract":"<div><div>This study investigates numerically the flow of water and ethylene glycol-based nanofluids across a spinning sphere surface. The nanofluid flow at a stagnation point across a gyrating sphere is considered to be laminar, time-dependent, and incompressible. When examining the nanofluid flow, thermal radiation and thermal slip are taken into account. PDEs are used to formulate the problem, and similarity variables are used to convert them into ODEs. MATLAB software is utilized to evaluate the modified ODEs by a numerical method known as bvp4c. The acquired results display that higher values of acceleration factor enhanced the velocity profile along <em>x-axis</em> and declined the velocity profile along <em>z-axis</em> and temperature profiles. The accelerated values of mixed convection factor enhanced the velocity profile along <em>x-axis</em> while retarded velocity characteristics along <em>z-</em>axis and temperature profiles. The greater values of thermal radiation and thermal slip factors have reduced the temperature distribution. The greater velocity and temperature profiles are observed for water-based nanofluid flow when matched with ethylene glycol-based nanofluid flow. The ethylene glycol-based nanofluids flows have higher skin friction coefficients and rate of heat transference than those of water-based nanofluids flows. To validate the method used in this, a comparative analysis of current results with established work has carried out. An excellent promise among the present and published data-set is determined that authenticates current results.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101367"},"PeriodicalIF":1.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-18DOI: 10.1016/j.jrras.2025.101364
Husam Eldin Sadig , Mustafa Kamal , Masood ur Rehman , Maryam Ibrahim Habadi , Dalia Kamal Alnagar , M. Yusuf , Mohammed Omar Musa Mohammed , Ohud A. Alqasem , M.A. Meraou
This study addresses the critical need for predictive models that balance high accuracy with computational efficiency, a requirement essential for timely and effective public health responses to COVID-19 outbreaks. We evaluate the performance of two advanced machine learning models, LightGBM and XGBoost, in predicting COVID-19 case trends across five Saudi cities. Using time-series data, we analyze key metrics such as RMSE, MAE, MAPE, R2, and computation time to assess each model's suitability for real-time applications. The findings highlight XGBoost's superior performance in computational speed, being up to three times faster than LightGBM in certain cases, making it ideal for rapid decision-making scenarios. Meanwhile, LightGBM demonstrates competitive accuracy and exceptional scalability, positioning it as a reliable tool for managing large datasets. These insights underscore the importance of time complexity as a critical factor in predictive modeling, enabling public health organizations to allocate resources efficiently, implement containment strategies promptly, and develop agile responses to future pandemics.
{"title":"Advanced time complexity analysis for real-time COVID-19 prediction in Saudi Arabia using LightGBM and XGBoost","authors":"Husam Eldin Sadig , Mustafa Kamal , Masood ur Rehman , Maryam Ibrahim Habadi , Dalia Kamal Alnagar , M. Yusuf , Mohammed Omar Musa Mohammed , Ohud A. Alqasem , M.A. Meraou","doi":"10.1016/j.jrras.2025.101364","DOIUrl":"10.1016/j.jrras.2025.101364","url":null,"abstract":"<div><div>This study addresses the critical need for predictive models that balance high accuracy with computational efficiency, a requirement essential for timely and effective public health responses to COVID-19 outbreaks. We evaluate the performance of two advanced machine learning models, LightGBM and XGBoost, in predicting COVID-19 case trends across five Saudi cities. Using time-series data, we analyze key metrics such as RMSE, MAE, MAPE, R<sup>2</sup>, and computation time to assess each model's suitability for real-time applications. The findings highlight XGBoost's superior performance in computational speed, being up to three times faster than LightGBM in certain cases, making it ideal for rapid decision-making scenarios. Meanwhile, LightGBM demonstrates competitive accuracy and exceptional scalability, positioning it as a reliable tool for managing large datasets. These insights underscore the importance of time complexity as a critical factor in predictive modeling, enabling public health organizations to allocate resources efficiently, implement containment strategies promptly, and develop agile responses to future pandemics.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101364"},"PeriodicalIF":1.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-17DOI: 10.1016/j.jrras.2025.101340
Amal S. Hassan , Elsayed A. Elsherpieny , Ahmed M. Felifel , Mohamed Kayid , Oluwafemi Samson Balogun , Subhankar Dutta
In reliability analysis and quality control, evaluating the lifetime performance index () of products is critical for ensuring quality standards and optimal performance. This study introduces a comprehensive framework for assessing the lifetime performance index of products following a Burr III distribution. The analysis utilizes generalized order statistics (GOS), with a particular emphasis on two key censoring schemes, namely, the progressive Type-II censoring (PTIIC) and progressive first-failure censoring (PFFC). We develop maximum likelihood estimators and Bayesian estimators, under both informative and non-informative priors, leveraging symmetric squared error and asymmetric loss functions. Simulation studies are conducted to examine the bias, root mean squared error, and other performance metrics across various censoring schemes. Additionally, the practical applicability of the proposed methods is demonstrated through real-world radiotherapy data analysis.
The results reveal that incorporating informative priors significantly improves estimation accuracy in the used samples under PTIIC and PFFC schemes. Furthermore, the proposed methodology enhances the precision of lifetime performance index estimation, especially for products with high reliability demands. This work offers practitioners in the fields of reliability engineering and quality control valuable insights through the provision of robust estimation frameworks for censored reliability data. Our findings is added to the literature by proving the efficacy of Burr III modeling with GOS and its advanced censoring schemes, laying the groundwork for future researchers in statistical inference for reliability analysis.
{"title":"Evaluating the lifetime performance index of Burr III products using generalized order statistics with modeling to radiotherapy data","authors":"Amal S. Hassan , Elsayed A. Elsherpieny , Ahmed M. Felifel , Mohamed Kayid , Oluwafemi Samson Balogun , Subhankar Dutta","doi":"10.1016/j.jrras.2025.101340","DOIUrl":"10.1016/j.jrras.2025.101340","url":null,"abstract":"<div><div>In reliability analysis and quality control, evaluating the lifetime performance index (<span><math><msub><mrow><mi>C</mi></mrow><mrow><mi>L</mi></mrow></msub></math></span>) of products is critical for ensuring quality standards and optimal performance. This study introduces a comprehensive framework for assessing the lifetime performance index <span><math><msub><mrow><mi>C</mi></mrow><mrow><mi>L</mi></mrow></msub></math></span> of products following a Burr III distribution. The analysis utilizes generalized order statistics (GOS), with a particular emphasis on two key censoring schemes, namely, the progressive Type-II censoring (PTIIC) and progressive first-failure censoring (PFFC). We develop maximum likelihood estimators and Bayesian estimators, under both informative and non-informative priors, leveraging symmetric squared error and asymmetric loss functions. Simulation studies are conducted to examine the bias, root mean squared error, and other performance metrics across various censoring schemes. Additionally, the practical applicability of the proposed methods is demonstrated through real-world radiotherapy data analysis.</div><div>The results reveal that incorporating informative priors significantly improves estimation accuracy in the used samples under PTIIC and PFFC schemes. Furthermore, the proposed methodology enhances the precision of lifetime performance index estimation, especially for products with high reliability demands. This work offers practitioners in the fields of reliability engineering and quality control valuable insights through the provision of robust estimation frameworks for censored reliability data. Our findings is added to the literature by proving the efficacy of Burr III modeling with GOS and its advanced censoring schemes, laying the groundwork for future researchers in statistical inference for reliability analysis.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101340"},"PeriodicalIF":1.7,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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