Pub Date : 2025-02-13DOI: 10.1016/j.jrras.2025.101334
A.H. Alzahrani , Nahid Fatima , Nidhal Becheikh , Talib K. Ibrahim , Munawar Abbas , Muhammad Shafique , Maawiya Ould Sidi , Y. Khan , Boutheyna Belhaj Bettaieb , Ahmed M. Galal
In this study, the Hamilton–Crosser thermal conductivity model is used to analyze the effects of Marangoni convection on the 3D radiative flow of a trihybrid nanofluid across a rotating disk using the Cattaneo-Christove heat flux model. A trihybrid nanofluid consisting of , , and silicone oil as the improper liquid is used. One of its primary applications is to improve the efficiency of cooling systems, heat exchangers, and energy harvesting tools in solar panels, electronic components, and nuclear reactors. Furthermore, by optimizing fluid-based cooling in high-performance systems, the model maximizes thermal conductivity and minimizes entropy generation to generate energy-efficient designs for microfluidic devices, vehicles, and airplanes. It also applies to processes in chemical engineering like catalytic reactors and heat control in advanced material processing. The bvp4c method is apply to resolve the governing ordinary differential equations numerically. The main consequences of the significant emerging factors against included sectors are explored through the employment of graphic representations. The higher the Marangoni convection parameter, the higher the rates of mass and heat transmission and the skin friction.
{"title":"Optimizing radiative flow of trihybrid nanofluid with autocatalytic chemical reaction using Cattaneo-Christove heat flux model for industrial heat transfer applications","authors":"A.H. Alzahrani , Nahid Fatima , Nidhal Becheikh , Talib K. Ibrahim , Munawar Abbas , Muhammad Shafique , Maawiya Ould Sidi , Y. Khan , Boutheyna Belhaj Bettaieb , Ahmed M. Galal","doi":"10.1016/j.jrras.2025.101334","DOIUrl":"10.1016/j.jrras.2025.101334","url":null,"abstract":"<div><div>In this study, the Hamilton–Crosser thermal conductivity model is used to analyze the effects of Marangoni convection on the 3D radiative flow of a trihybrid nanofluid across a rotating disk using the Cattaneo-Christove heat flux model. A trihybrid nanofluid consisting of <span><math><mrow><mi>Z</mi><mi>r</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>, <span><math><mrow><mi>S</mi><mi>i</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>, <span><math><mrow><mi>M</mi><mi>o</mi><msub><mi>S</mi><mn>2</mn></msub></mrow></math></span> and silicone oil as the improper liquid is used. One of its primary applications is to improve the efficiency of cooling systems, heat exchangers, and energy harvesting tools in solar panels, electronic components, and nuclear reactors. Furthermore, by optimizing fluid-based cooling in high-performance systems, the model maximizes thermal conductivity and minimizes entropy generation to generate energy-efficient designs for microfluidic devices, vehicles, and airplanes. It also applies to processes in chemical engineering like catalytic reactors and heat control in advanced material processing. The bvp4c method is apply to resolve the governing ordinary differential equations numerically. The main consequences of the significant emerging factors against included sectors are explored through the employment of graphic representations. The higher the Marangoni convection parameter, the higher the rates of mass and heat transmission and the skin friction.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101334"},"PeriodicalIF":1.7,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402633","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 : 2025-02-13DOI: 10.1016/j.jrras.2025.101353
Mohamed Yousef , Abbas Omer , Rowaidah Abdullah Alamoudi , Mowada Alharbi , Banan Aljehani , Zainab Felemban , Sara Albadri , Abubaker Y. Elamin , Almoiz Mohamed , Hanady Elyas Osman
Objective
This study aimed to evaluate awareness, usage, and perceptions of mobile applications among radiological science students and highlight their potential as educational tools.
Materials and methods
This cross-sectional study was conducted among radiological science students. A structured, self-administered questionnaire was distributed to level 1 to 3 students. The questionnaire included five sections: accessibility and usage of medical apps, perceptions of usability, comparison with traditional tools, impact on learning and skills, and preferences for app costs and integration. A total of 156 students were invited and 112 responses were included in the final analysis. Sociodemographic data and survey responses were summarized using descriptive statistics.
Results
Most students expressed interest in using medical apps 100 (89.3%), with a large proportion using them for learning 89 (79.5%). Around 72 (96%) found medical apps user-friendly and effective in improving confidence 68 (90.7%) and practical skills 73 (97.3%). The majority believed apps could replace textbooks 49 (65.3%) and found them more effective than traditional tools 39 (52%). Despite these benefits, institutional advocacy was limited, with recommendations coming primarily from 45 peers (40.2%). Most participants, 103 (92%), supported integrating the apps into the curriculum to enhance learning outcomes.
Conclusion
Mobile applications are indispensable tools in radiology education, potentially improving students’ confidence, skills, and learning experience. However, limited institutional support and concerns about content reliability remain challenges. To maximize their impact, it is important to provide structured integration of mobile apps into educational frameworks and access to validated resources.
{"title":"From awareness to integration: Mobile applications as tools in radiology education","authors":"Mohamed Yousef , Abbas Omer , Rowaidah Abdullah Alamoudi , Mowada Alharbi , Banan Aljehani , Zainab Felemban , Sara Albadri , Abubaker Y. Elamin , Almoiz Mohamed , Hanady Elyas Osman","doi":"10.1016/j.jrras.2025.101353","DOIUrl":"10.1016/j.jrras.2025.101353","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to evaluate awareness, usage, and perceptions of mobile applications among radiological science students and highlight their potential as educational tools.</div></div><div><h3>Materials and methods</h3><div>This cross-sectional study was conducted among radiological science students. A structured, self-administered questionnaire was distributed to level 1 to 3 students. The questionnaire included five sections: accessibility and usage of medical apps, perceptions of usability, comparison with traditional tools, impact on learning and skills, and preferences for app costs and integration. A total of 156 students were invited and 112 responses were included in the final analysis. Sociodemographic data and survey responses were summarized using descriptive statistics.</div></div><div><h3>Results</h3><div>Most students expressed interest in using medical apps 100 (89.3%), with a large proportion using them for learning 89 (79.5%). Around 72 (96%) found medical apps user-friendly and effective in improving confidence 68 (90.7%) and practical skills 73 (97.3%). The majority believed apps could replace textbooks 49 (65.3%) and found them more effective than traditional tools 39 (52%). Despite these benefits, institutional advocacy was limited, with recommendations coming primarily from 45 peers (40.2%). Most participants, 103 (92%), supported integrating the apps into the curriculum to enhance learning outcomes.</div></div><div><h3>Conclusion</h3><div>Mobile applications are indispensable tools in radiology education, potentially improving students’ confidence, skills, and learning experience. However, limited institutional support and concerns about content reliability remain challenges. To maximize their impact, it is important to provide structured integration of mobile apps into educational frameworks and access to validated resources.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101353"},"PeriodicalIF":1.7,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402634","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 : 2025-02-12DOI: 10.1016/j.jrras.2025.101344
Masood Khan , Mudassar Qamar , Muhammad Shan , Muhammad Yasir
Hybrid nanofluids are used in several industrial fields, such as solar power systems, electronics cooling, heat exchangers, aviation industry, medical devices and advanced manufacturing. Hybrid nanofluids provide a versatile solution for enhancing the thermo-physical possessions of the fluid for industrial applications. In this report, steady electrically conductive hybrid nanofluid flow is examined under the role of linear radiation, mixed convection, Joule heating, viscous dissipation, and uniform heat source/sink over a porous shrinking surface. This study aims to boost thermal transportation to meet the requirements of the manufacturing and engineering industries. The modeling process generates PDEs, converted into ODEs through suitable alteration. MATLAB bvp4c built in function are used to solve these ODEs numerically. The considered physical characteristics like suction/injection, volume fraction, shrinking parameter, inclination angle, magnetic field, curvature parameter, buoyancy, thermal radiation, Eckert number and uniform heat source/sink effects on flow, energy, friction drag and thermal transportation rate profiles are reviewed using plots. An important outcome of the proposed investigation is that the heat conveyance rate of a hybrid nanofluid is enhanced with an increment of volume fraction and curvature effects. Moreover, magnetic strength reduced the fluid motion and enhance the thermal distribution for stable branch solution. Thermal boundary regime is also boost with the impacts of Radiation and Eckert number parameters.
{"title":"Thermally mixed convection flow of radiated hybrid nanofluids with Ohmic dissipation and Newtonian heating","authors":"Masood Khan , Mudassar Qamar , Muhammad Shan , Muhammad Yasir","doi":"10.1016/j.jrras.2025.101344","DOIUrl":"10.1016/j.jrras.2025.101344","url":null,"abstract":"<div><div>Hybrid nanofluids are used in several industrial fields, such as solar power systems, electronics cooling, heat exchangers, aviation industry, medical devices and advanced manufacturing. Hybrid nanofluids provide a versatile solution for enhancing the thermo-physical possessions of the fluid for industrial applications. In this report, steady electrically conductive hybrid nanofluid flow is examined under the role of linear radiation, mixed convection, Joule heating, viscous dissipation, and uniform heat source/sink over a porous shrinking surface. This study aims to boost thermal transportation to meet the requirements of the manufacturing and engineering industries. The modeling process generates PDEs, converted into ODEs through suitable alteration. MATLAB bvp4c built in function are used to solve these ODEs numerically. The considered physical characteristics like suction/injection, volume fraction, shrinking parameter, inclination angle, magnetic field, curvature parameter, buoyancy, thermal radiation, Eckert number and uniform heat source/sink effects on flow, energy, friction drag and thermal transportation rate profiles are reviewed using plots. An important outcome of the proposed investigation is that the heat conveyance rate of a hybrid nanofluid is enhanced with an increment of volume fraction and curvature effects. Moreover, magnetic strength reduced the fluid motion and enhance the thermal distribution for stable branch solution. Thermal boundary regime is also boost with the impacts of Radiation and Eckert number parameters.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101344"},"PeriodicalIF":1.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143394650","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 : 2025-02-12DOI: 10.1016/j.jrras.2025.101339
Ahmed M. Gemeay , Sule Omeiza Bashiru , Laxmi Prasad Sapkota , Mohamed Kayid , Subhankar Dutta , Shahid Mohammad
This study proposes the power type II Topp-Leone half logistic (P) distribution, an extension of the type II Topp-Leone half logistic () distribution, achieved through the power transformation technique. The P distribution enhances the flexibility and applicability of the original model, making it suitable for a wider range of real-world datasets exhibiting complex features such as skewness, heavy tails, and high variability. Key features of the proposed distribution include a flexible unimodal and right-skewed probability density function, an explicit quantile function, and a versatile hazard rate function that accommodates both increasing and decreasing patterns. Several important properties of the P distribution are derived, including central moments, incomplete moments, conditional moments, probability-weighted moments, entropy measures, and order statistics. The parameters of the P distribution were estimated using 16 classical methods, supported by a simulation study to assess the performance of these estimators. Real-world applications to biomedical and environmental datasets demonstrate that the P distribution outperforms several existing models, establishing it as a powerful tool for modeling complex data in diverse fields.
{"title":"A new power transformed distribution with applications to radiotherapy and environmental datasets","authors":"Ahmed M. Gemeay , Sule Omeiza Bashiru , Laxmi Prasad Sapkota , Mohamed Kayid , Subhankar Dutta , Shahid Mohammad","doi":"10.1016/j.jrras.2025.101339","DOIUrl":"10.1016/j.jrras.2025.101339","url":null,"abstract":"<div><div>This study proposes the power type II Topp-Leone half logistic (P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span>) distribution, an extension of the type II Topp-Leone half logistic (<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span>) distribution, achieved through the power transformation technique. The P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span> distribution enhances the flexibility and applicability of the original model, making it suitable for a wider range of real-world datasets exhibiting complex features such as skewness, heavy tails, and high variability. Key features of the proposed distribution include a flexible unimodal and right-skewed probability density function, an explicit quantile function, and a versatile hazard rate function that accommodates both increasing and decreasing patterns. Several important properties of the P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span> distribution are derived, including central moments, incomplete moments, conditional moments, probability-weighted moments, entropy measures, and order statistics. The parameters of the P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span> distribution were estimated using 16 classical methods, supported by a simulation study to assess the performance of these estimators. Real-world applications to biomedical and environmental datasets demonstrate that the P<span><math><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>I</mi><mi>I</mi></mrow></msub><mi>T</mi><mi>L</mi><mi>H</mi><mi>L</mi></mrow></math></span> distribution outperforms several existing models, establishing it as a powerful tool for modeling complex data in diverse fields.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101339"},"PeriodicalIF":1.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387022","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 : 2025-02-12DOI: 10.1016/j.jrras.2025.101331
Muhammad Abdul Basit , Muhammad Mohsin Bashir , Muhammad Imran , Madeeha Tahir , Aiedh Mrisi Alharthi , Dennis Ling Chuan Ching , Ilyas Khan
This research explores the groundbreaking integration of nanoparticles with microorganisms, leveraging their wedge-shaped configuration for enhanced functionality. To model this phenomenon mathematically, a framework of partial differential equations, coupled with boundary conditions, has been formulated. The system of linked nonlinear ordinary differential equations reduced to the nonlinear partial differential equations by the implementation of appropriate transformations. Then this model is numerically solved using the bvp4c built-in tool of MATLAB. A comprehensive computational analysis evaluates the effects of critical control parameters on temperature, velocity, nanofluid concentration, and microorganism density profiles. Furthermore, the study reveals that higher values of parameters such as Eckert number and Radiation, while an opposite pattern is observed for the Prandtl number. Furthermore, it is concluded that the concentration of nanoparticles is increased by increasing the Schmidt number, thermophoresis, and chemical reaction parameter. The bioconvection process induced by the microorganism density, creating a pronounced microorganism concentration near the wedge surface. The acquired results have various applications in the domains of thermal engineering, seismology, and mechanical engineering. The domain of used parameters is fixed as, for generating the optimal results.
{"title":"Analysis of efficient partial differential equations model for nano-fluid flow through wedge involving minimal energy and thermal radiation","authors":"Muhammad Abdul Basit , Muhammad Mohsin Bashir , Muhammad Imran , Madeeha Tahir , Aiedh Mrisi Alharthi , Dennis Ling Chuan Ching , Ilyas Khan","doi":"10.1016/j.jrras.2025.101331","DOIUrl":"10.1016/j.jrras.2025.101331","url":null,"abstract":"<div><div>This research explores the groundbreaking integration of nanoparticles with microorganisms, leveraging their wedge-shaped configuration for enhanced functionality. To model this phenomenon mathematically, a framework of partial differential equations, coupled with boundary conditions, has been formulated. The system of linked nonlinear ordinary differential equations reduced to the nonlinear partial differential equations by the implementation of appropriate transformations. Then this model is numerically solved using the bvp4c built-in tool of MATLAB. A comprehensive computational analysis evaluates the effects of critical control parameters on temperature, velocity, nanofluid concentration, and microorganism density profiles. Furthermore, the study reveals that higher values of parameters such as Eckert number and Radiation, while an opposite pattern is observed for the Prandtl number. Furthermore, it is concluded that the concentration of nanoparticles is increased by increasing the Schmidt number, thermophoresis, and chemical reaction parameter. The bioconvection process induced by the microorganism density, creating a pronounced microorganism concentration near the wedge surface. The acquired results have various applications in the domains of thermal engineering, seismology, and mechanical engineering. The domain of used parameters is fixed as, <span><math><mn>0.1</mn><mo><</mo><mi>M</mi><mspace></mspace><mo><</mo><mn>0.7</mn><mo>,</mo><mspace></mspace><mn>0.1</mn><mo><</mo><mi>R</mi><mi>b</mi><mo><</mo><mn>2</mn><mo>.</mo><mn>4</mn><mo>,</mo><mspace></mspace><mn>0</mn><mo>.</mo><mn>1</mn><mo><</mo><mi>R</mi><mi>d</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>4</mn><mo>,</mo><mspace></mspace><mn>0</mn><mo>.</mo><mn>1</mn><mo><</mo><mi>Q</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>4</mn><mo>,</mo><mspace></mspace><mn>0</mn><mo>.</mo><mn>5</mn><mo><</mo><mi>P</mi><mi>r</mi><mo><</mo><mn>0</mn><mo>.</mo><mn>8</mn><mo>,</mo><mspace></mspace><mn>0</mn><mo>.</mo><mn>1</mn><mo><</mo><mi>E</mi><mi>c</mi><mo><</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>,</mo><mspace></mspace><mn>0</mn><mo>.</mo><mn>1</mn><mo><</mo><mi>Ω</mi><mo><</mo><mn>4</mn><mo>.</mo><mn>5</mn><mo>,</mo><mspace></mspace><mi>a</mi><mi>n</mi><mi>d</mi><mspace></mspace><mn>0</mn><mo>.</mo><mn>1</mn><mo><</mo><mi>P</mi><mi>e</mi><mo><</mo><mn>3</mn><mo>.</mo><mn>0</mn></math></span> for generating the optimal results.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101331"},"PeriodicalIF":1.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387021","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 : 2025-02-12DOI: 10.1016/j.jrras.2025.101338
Nalivela Nagi Reddy , B. Shankar Goud
This study looks at the influence of suction on MHD heat and mass transmission flows through porous media across an exponentially stretched sheet. Similarity variables enable nonlinear ODEs from nonlinear PDEs. The Keller-Box method solves these equations numerically. The influence of dimensionless factors on the concentration, thermal, and velocity is graphically explored. The friction factor, Nusselt, and Sherwood numbers are also examined and tabulated for various flow factors. The major outcomes are enhancing the temperature gradient with an increase of Brownian motion and Thermophoresis parameters also heat transfer rate increases with Prandtl number. In support of the present investigation, the computational results were cross-referenced with previously published research in the field and found to be in strong agreement. The fields of biomedicine, medical sciences, and a variety of industrial processes are among the possible uses of this technology.
{"title":"Slip effects on MHD heat and mass transfer flow through porous medium over an exponentially stretching sheet in existence of suction","authors":"Nalivela Nagi Reddy , B. Shankar Goud","doi":"10.1016/j.jrras.2025.101338","DOIUrl":"10.1016/j.jrras.2025.101338","url":null,"abstract":"<div><div>This study looks at the influence of suction on MHD heat and mass transmission flows through porous media across an exponentially stretched sheet. Similarity variables enable nonlinear ODEs from nonlinear PDEs. The Keller-Box method solves these equations numerically. The influence of dimensionless factors on the concentration, thermal, and velocity is graphically explored. The friction factor, Nusselt, and Sherwood numbers are also examined and tabulated for various flow factors. The major outcomes are enhancing the temperature gradient with an increase of Brownian motion and Thermophoresis parameters also heat transfer rate increases with Prandtl number. In support of the present investigation, the computational results were cross-referenced with previously published research in the field and found to be in strong agreement. The fields of biomedicine, medical sciences, and a variety of industrial processes are among the possible uses of this technology.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101338"},"PeriodicalIF":1.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143394649","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 : 2025-02-12DOI: 10.1016/j.jrras.2025.101337
S. Karthik , D. Iranian , Ilyas Khan , Sultan Alshehery , Muhammad Sabaoon Khan
This study investigates the influence of thermal radiation and chemical reaction parameters on the stability and behavior of Powell-Eyring fluid flow, focusing on dual stratification, multiple slip conditions, and electro-magneto-hydrodynamics (EMHD) under the effect of a magnetic field. Thermal radiation and chemical reactions significantly impact transport phenomena, altering temperature and concentration profiles within the stratified fluid layers. Dual stratification introduces variations in temperature and concentration, while multiple slip conditions at fluid-solid interfaces affect the flow and heat transfer properties. Additionally, EMHD, driven by the coupling of electric and magnetic fields with the fluid, reveals unique fluid behaviours crucial for stability and flow control. The research enhances our understanding of fluid dynamics by examining interactions between layered structures, fluid-solid interfaces, and EMHD forces. The study employs similarity transformations to reduce complex partial differential equations (PDEs) to ordinary differential equations (ODEs). Numerical simulations, conducted using MATLAB's bvp4c solver, offer detailed insights into the effects of key parameters on fluid dynamics. Results, presented through graphs and tables, highlight the impact of the Sherwood number, friction factor, and Nusselt number on mass and heat transfer properties. The investigation includes the analysis of fluid flow and heat transfer near a stretched sheet with an absorptive layer, incorporating suction, radiation, and chemical reactions alongside the influence of magnetic fields and slip conditions on EMHD. These findings are directly applicable to advanced technologies in polymer processing, microfluidics, and thermal management systems, where precise manipulation of fluid behavior through electromagnetic forces and thermal effects is critical.
{"title":"Dual-layer stratification of powell eyring fluid in EMHD flow with thermal radiation and chemical reaction","authors":"S. Karthik , D. Iranian , Ilyas Khan , Sultan Alshehery , Muhammad Sabaoon Khan","doi":"10.1016/j.jrras.2025.101337","DOIUrl":"10.1016/j.jrras.2025.101337","url":null,"abstract":"<div><div>This study investigates the influence of thermal radiation and chemical reaction parameters on the stability and behavior of Powell-Eyring fluid flow, focusing on dual stratification, multiple slip conditions, and electro-magneto-hydrodynamics (EMHD) under the effect of a magnetic field. Thermal radiation and chemical reactions significantly impact transport phenomena, altering temperature and concentration profiles within the stratified fluid layers. Dual stratification introduces variations in temperature and concentration, while multiple slip conditions at fluid-solid interfaces affect the flow and heat transfer properties. Additionally, EMHD, driven by the coupling of electric and magnetic fields with the fluid, reveals unique fluid behaviours crucial for stability and flow control. The research enhances our understanding of fluid dynamics by examining interactions between layered structures, fluid-solid interfaces, and EMHD forces. The study employs similarity transformations to reduce complex partial differential equations (PDEs) to ordinary differential equations (ODEs). Numerical simulations, conducted using MATLAB's bvp4c solver, offer detailed insights into the effects of key parameters on fluid dynamics. Results, presented through graphs and tables, highlight the impact of the Sherwood number, friction factor, and Nusselt number on mass and heat transfer properties. The investigation includes the analysis of fluid flow and heat transfer near a stretched sheet with an absorptive layer, incorporating suction, radiation, and chemical reactions alongside the influence of magnetic fields and slip conditions on EMHD. These findings are directly applicable to advanced technologies in polymer processing, microfluidics, and thermal management systems, where precise manipulation of fluid behavior through electromagnetic forces and thermal effects is critical.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101337"},"PeriodicalIF":1.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387020","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 : 2025-02-10DOI: 10.1016/j.jrras.2025.101336
S.S. Zafar , A. Zaib , Farhan Ali , M. Faizan , Umair Khan , El-Sayed M. Sherif , Ioan Pop
An investigation has been discovered to explore the mixed convective Carreau fluid flow comprising gyrotactic microorganisms and the Darcy Forchheimer effect over a Riga sheet. The Cattaneo-Christov dual diffusive has been examined to accurately represent the thermal and concentration dynamics, providing a detailed description of energy and concentration equations. The analysis of nanoparticles involves the examination of both passive control (where there is no mass movement) and active control (where there is mass movement), taking into account the influence of Brownian motion, thermophoresis, and thermal radiation. An alter transmission is applied to transmute the constitution equation into a model equation. The converted equations are then solved numerically using the Keller box method. The study presents and analyzes data on velocity, temperature, concentration, microorganism dispersion, and key engineering parameters like drag coefficient, Nusselt number, Sherwood number, and motile density. The results are visually represented using graphs and tables. It has been noted that when the Schmidt number and solutal relaxation parameter increase, the concentration profile reduces for both active and passive control of nanoparticles. Moreover, increased values of the fluid parameter and Hartmann number result in heightened fluid velocity. A comparison of the current research with the formerly obtained results is given showing an excellent agreement.
{"title":"Dynamics of active and passive control on bioconvection Carreau nanofluid with thermal radiation and Cattaneo-Christov double-diffusion effects","authors":"S.S. Zafar , A. Zaib , Farhan Ali , M. Faizan , Umair Khan , El-Sayed M. Sherif , Ioan Pop","doi":"10.1016/j.jrras.2025.101336","DOIUrl":"10.1016/j.jrras.2025.101336","url":null,"abstract":"<div><div>An investigation has been discovered to explore the mixed convective Carreau fluid flow comprising gyrotactic microorganisms and the Darcy Forchheimer effect over a Riga sheet. The Cattaneo-Christov dual diffusive has been examined to accurately represent the thermal and concentration dynamics, providing a detailed description of energy and concentration equations. The analysis of nanoparticles involves the examination of both passive control (where there is no mass movement) and active control (where there is mass movement), taking into account the influence of Brownian motion, thermophoresis, and thermal radiation. An alter transmission is applied to transmute the constitution equation into a model equation. The converted equations are then solved numerically using the Keller box method. The study presents and analyzes data on velocity, temperature, concentration, microorganism dispersion, and key engineering parameters like drag coefficient, Nusselt number, Sherwood number, and motile density. The results are visually represented using graphs and tables. It has been noted that when the Schmidt number and solutal relaxation parameter increase, the concentration profile reduces for both active and passive control of nanoparticles. Moreover, increased values of the fluid parameter and Hartmann number result in heightened fluid velocity. A comparison of the current research with the formerly obtained results is given showing an excellent agreement.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101336"},"PeriodicalIF":1.7,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377008","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}
Purpose To investigate the correlation between hepatic fat fraction (HFF) assessed by using dual-energy computed tomography (CT) and the volume and density of epicardial adipose tissue (EAT) in patients with non-alcoholic fatty liver disease (NAFLD). Methods From August 2019 to February 2021, 215 patients with NAFLD diagnosed by non-enhanced CT who underwent dual-energy coronary computed tomographic angiography were enrolled in this study. Patients were divided into two groups based on the median EAT volume and density, respectively, and the differences between the two groups were compared. Multivariate analysis was performed to determine the independent correlation between the HFF and EAT. The patients were further cross-grouped according to median EAT volume and density, and the differences among the four subgroups were compared. The influence of HFF on EAT in each subgroup was explored using multivariate analysis. Results Higher EAT volume and density were associated with an increased HFF (P < 0.001). Multivariate analysis indicated that HFF was an independent risk factor for EAT volume (odds ratio [OR] = 1.24, P < 0.001) and density (OR = 1.09, P = 0.015). In the subgroup analysis, the highest HFF was observed in the group with above-median EAT volume and density (P < 0.001). After adjusting for confounding variables, the results showed that the OR value of HFF was highest in the group with above-median EAT volume and density (OR = 1.43, P < 0.001), compared with the group with below-median EAT volume and density. Conclusions As a new imaging parameter for quantifying liver fat, HFF was independently correlated with both the volume and density of EAT.
{"title":"The correlation between hepatic fat fraction on dual-energy CT and epicardial adipose tissue in patients with non-alcoholic fatty liver disease","authors":"Rui Zhan, Yuhao Chen, Yue Gu, Yajie Chen, Kaixuan Ren, Tianxiang Zhou","doi":"10.1016/j.jrras.2025.101325","DOIUrl":"10.1016/j.jrras.2025.101325","url":null,"abstract":"<div><div><strong>Purpose</strong> To investigate the correlation between hepatic fat fraction (HFF) assessed by using dual-energy computed tomography (CT) and the volume and density of epicardial adipose tissue (EAT) in patients with non-alcoholic fatty liver disease (NAFLD). <strong>Methods</strong> From August 2019 to February 2021, 215 patients with NAFLD diagnosed by non-enhanced CT who underwent dual-energy coronary computed tomographic angiography were enrolled in this study. Patients were divided into two groups based on the median EAT volume and density, respectively, and the differences between the two groups were compared. Multivariate analysis was performed to determine the independent correlation between the HFF and EAT. The patients were further cross-grouped according to median EAT volume and density, and the differences among the four subgroups were compared. The influence of HFF on EAT in each subgroup was explored using multivariate analysis. <strong>Results</strong> Higher EAT volume and density were associated with an increased HFF (<em>P</em> < 0.001). Multivariate analysis indicated that HFF was an independent risk factor for EAT volume (odds ratio [OR] = 1.24, <em>P</em> < 0.001) and density (OR = 1.09, <em>P</em> = 0.015). In the subgroup analysis, the highest HFF was observed in the group with above-median EAT volume and density (<em>P</em> < 0.001). After adjusting for confounding variables, the results showed that the OR value of HFF was highest in the group with above-median EAT volume and density (OR = 1.43, <em>P</em> < 0.001), compared with the group with below-median EAT volume and density. <strong>Conclusions</strong> As a new imaging parameter for quantifying liver fat, HFF was independently correlated with both the volume and density of EAT.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101325"},"PeriodicalIF":1.7,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377010","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 : 2025-02-09DOI: 10.1016/j.jrras.2025.101342
Mohamed F. Abd El-Aal , Mansour Shrahili , Mohamed Kayid , Oluwafemi Samson Balogun
Purpose
This paper explores the factors influencing bilateral trade between Egypt and BRICS by employing classic econometric techniques and machine learning methods, specifically Poisson Newton-Raphson, gradient boosting (GB), and random forest (RF).
Design/methodology/
The investigation utilizes traditional econometric analysis (Poisson Newton-Raphson) to explore the correlation between trade volume and various factors. Machine learning algorithms (GB and RF) also rank significant independent variables affecting the dependent variable (trade volume). The study leverages diverse factors, including population size, industry value added, GDP per capita, gross fixed capital formation, geographical distance, GDP growth, and global GDP expansion.
Findings
The Poisson Newton-Raphson analysis shows an inverse correlation between trade volume and several factors, including the population size, industry value added, GDP per capita of BRICS nations, Egypt's gross fixed capital formation, and geographical distance. In contrast, positive correlations exist with Egypt's GDP per capita, industry value added, BRICS gross fixed capital formation, GDP growth, and overall global GDP expansion. The analysis also highlights the most significant factors in machine learning outcomes, identifying BRICS GDP size, global GDP size, and the distance between countries as the top influences.
Research implications
The findings underscore the significance of fundamental variables in the basic gravity model, emphasizing the crucial role of global GDP size as the second most influential contributor. Furthermore, the study highlights the importance of productive sectors in shaping local outputs, providing insights into trade relationships' competitive or complementary nature. These implications contribute to a comprehensive understanding of the multifaceted determinants shaping trade flows between Egypt and BRICS nations.
{"title":"Determinants of bilateral trade between Egypt and BRICS: Gravity model with traditional econometrics and machine learning algorithms","authors":"Mohamed F. Abd El-Aal , Mansour Shrahili , Mohamed Kayid , Oluwafemi Samson Balogun","doi":"10.1016/j.jrras.2025.101342","DOIUrl":"10.1016/j.jrras.2025.101342","url":null,"abstract":"<div><h3>Purpose</h3><div>This paper explores the factors influencing bilateral trade between Egypt and BRICS by employing classic econometric techniques and machine learning methods, specifically Poisson Newton-Raphson, gradient boosting (GB), and random forest (RF).</div></div><div><h3>Design/methodology/</h3><div><strong>The</strong> investigation utilizes traditional econometric analysis (Poisson Newton-Raphson) to explore the correlation between trade volume and various factors. Machine learning algorithms (GB and RF) also rank significant independent variables affecting the dependent variable (trade volume). The study leverages diverse factors, including population size, industry value added, GDP per capita, gross fixed capital formation, geographical distance, GDP growth, and global GDP expansion.</div></div><div><h3>Findings</h3><div>The Poisson Newton-Raphson analysis shows an inverse correlation between trade volume and several factors, including the population size, industry value added, GDP per capita of BRICS nations, Egypt's gross fixed capital formation, and geographical distance. In contrast, positive correlations exist with Egypt's GDP per capita, industry value added, BRICS gross fixed capital formation, GDP growth, and overall global GDP expansion. The analysis also highlights the most significant factors in machine learning outcomes, identifying BRICS GDP size, global GDP size, and the distance between countries as the top influences.</div></div><div><h3>Research implications</h3><div><strong>The</strong> findings underscore the significance of fundamental variables in the basic gravity model, emphasizing the crucial role of global GDP size as the second most influential contributor. Furthermore, the study highlights the importance of productive sectors in shaping local outputs, providing insights into trade relationships' competitive or complementary nature. These implications contribute to a comprehensive understanding of the multifaceted determinants shaping trade flows between Egypt and BRICS nations<strong>.</strong></div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101342"},"PeriodicalIF":1.7,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372196","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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