Pub Date : 2025-02-09DOI: 10.1016/j.jrras.2025.101329
Tao Wang , Zhen Wang , Lei Xu
Purpose
The URT-Linac 506C integrates a diagnostic helical CT scanner into a linear accelerator, enabling the use of CT scanning data for radiation therapy planning. This innovative design facilitates online adaptive radiotherapy. This study aims to report the findings of a two-year quality control program assessing the physical stability and reliability of this advanced radiation treatment unit.
Methods
Absolute dose, flatness, and symmetry of 6 MV photon beams were analyzed using SPSS 23.0 from October 2022 to June 2024 to evaluate the stability of the dose output of the linear accelerator. The relative dose values are measured weekly for the same nasopharyngeal carcinoma patient, and the pass rates for criteria of 3% and 3 mm are evaluated.
Results
The absorbed dose was within 102%. The flatness of the 10 cm × 10 cm field was within 105%, the symmetry was within 102%, the flatness of the 20 cm × 20 cm field was within 103%, and the symmetry was within 102%. The long-term patient dose verification results ranging between 99.6% and 100%.
Conclusion
The URT-Linac 506C linear accelerator demonstrates high-dose stability. Routine quality assurance ensures the accuracy and reliability of the equipment, which is crucial for precise treatment delivery.
{"title":"Analysis of the CT-linear accelerator output stability","authors":"Tao Wang , Zhen Wang , Lei Xu","doi":"10.1016/j.jrras.2025.101329","DOIUrl":"10.1016/j.jrras.2025.101329","url":null,"abstract":"<div><h3>Purpose</h3><div>The URT-Linac 506C integrates a diagnostic helical CT scanner into a linear accelerator, enabling the use of CT scanning data for radiation therapy planning. This innovative design facilitates online adaptive radiotherapy. This study aims to report the findings of a two-year quality control program assessing the physical stability and reliability of this advanced radiation treatment unit.</div></div><div><h3>Methods</h3><div>Absolute dose, flatness, and symmetry of 6 MV photon beams were analyzed using SPSS 23.0 from October 2022 to June 2024 to evaluate the stability of the dose output of the linear accelerator. The relative dose values are measured weekly for the same nasopharyngeal carcinoma patient, and the pass rates for criteria of 3% and 3 mm are evaluated.</div></div><div><h3>Results</h3><div>The absorbed dose was within 102%. The flatness of the 10 cm × 10 cm field was within 105%, the symmetry was within 102%, the flatness of the 20 cm × 20 cm field was within 103%, and the symmetry was within 102%. The long-term patient dose verification results ranging between 99.6% and 100%.</div></div><div><h3>Conclusion</h3><div>The URT-Linac 506C linear accelerator demonstrates high-dose stability. Routine quality assurance ensures the accuracy and reliability of the equipment, which is crucial for precise treatment delivery.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101329"},"PeriodicalIF":1.7,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372039","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 : 2025-02-08DOI: 10.1016/j.jrras.2025.101319
Bin Li , Zhili Guo , Xiaowen Liang , Chenke Kuang , Mingjie Li , Meng Du , Zhiyi Chen
Low-intensity pulsed ultrasound (LIPUS) can repair damaged tissues via its biological effects on stem cells. Previous studies have shown that endometrial stem cells (EnSCs) can enhance the regeneration of damaged and promote uterine repair in mice with intrauterine adhesions (IUAs). However, whether low-intensity pulsed ultrasound combined with microbubbles (MBs) can promote the repair of IUA by EnSCs remains unclear. We established a mouse model of IUA in vivo via chemical injury method, and showed that the combination treatment improved the uterine structure of IUA, leading to endometrial thickening, an increased number of endometrial glands, decreased fibrosis, and microvascular hyperplasia; moreover, the expression level of vascular endothelial-related molecules (e.g., vascular endothelial growth factor, CD31) in the endometrium and CD44 molecules in the endothelial cells was increased, which ultimately improved the pregnancy outcome of IUA mice. To further validate the efficacy of the combined treatment of LIPUS and MBs, we demonstrated that the proliferative activity of EnSCs in the combined treatment group was increased by the in vitro CCK8 assay. Similarly, electron microscopy revealed that the number of lysosomes and ribosomes increased significantly, revealing that the combination treatment promoted the proliferation of EnSCs. The combination of LIPUS and MBs promotes endometrial injury repair, which may be related to its ability to promote the proliferation of EnSCs.
{"title":"Low-intensity pulsed ultrasound combined with microbubbles enhances stem cell-based therapy for endometrial injury and intrauterine adhesion","authors":"Bin Li , Zhili Guo , Xiaowen Liang , Chenke Kuang , Mingjie Li , Meng Du , Zhiyi Chen","doi":"10.1016/j.jrras.2025.101319","DOIUrl":"10.1016/j.jrras.2025.101319","url":null,"abstract":"<div><div>Low-intensity pulsed ultrasound (LIPUS) can repair damaged tissues via its biological effects on stem cells. Previous studies have shown that endometrial stem cells (EnSCs) can enhance the regeneration of damaged and promote uterine repair in mice with intrauterine adhesions (IUAs). However, whether low-intensity pulsed ultrasound combined with microbubbles (MBs) can promote the repair of IUA by EnSCs remains unclear. We established a mouse model of IUA <em>in vivo</em> via chemical injury method, and showed that the combination treatment improved the uterine structure of IUA, leading to endometrial thickening, an increased number of endometrial glands, decreased fibrosis, and microvascular hyperplasia; moreover, the expression level of vascular endothelial-related molecules (e.g., vascular endothelial growth factor, CD31) in the endometrium and CD44 molecules in the endothelial cells was increased, which ultimately improved the pregnancy outcome of IUA mice. To further validate the efficacy of the combined treatment of LIPUS and MBs, we demonstrated that the proliferative activity of EnSCs in the combined treatment group was increased by the <em>in vitro</em> CCK8 assay. Similarly, electron microscopy revealed that the number of lysosomes and ribosomes increased significantly, revealing that the combination treatment promoted the proliferation of EnSCs. The combination of LIPUS and MBs promotes endometrial injury repair, which may be related to its ability to promote the proliferation of EnSCs.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101319"},"PeriodicalIF":1.7,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350093","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 : 2025-02-08DOI: 10.1016/j.jrras.2025.101300
Mostafa Mohamed Okasha , Munawar Abbas , Hawzhen Fateh M. Ameen , Faisal Salah , Ansar Abbas , Ilyas Khan , Maawiya Ould Sidi , Wajdi Rajhi , Ahmed M. Galal
The present work describes the Dufour and Soret effects on radiative flow of Casson tetra hybrid nanofluid over sheet with Stephan blowing, nanoparticles, and porous medium. A tetra hybrid nanofluid is utilized, which comprises fluid sodium alginate and nanoparticles of iron oxide , copper titanium oxide and cobalt ferrite . This model is crucial for determining how to improve the thermal performance of these nanofluids, which are used in high-efficiency cooling systems, electronic cooling technologies, and heat exchangers. Although the Soret-Dufour effects help us better understand the relationship between diffusion and temperature in these complex fluids, the incorporation of Stephan blowing mechanisms facilitates accurate modeling of mass transfer and phase change phenomena. Equations of ordinary differential are converted from the partial differential equations. The updated equations are resolved using both the Bvp4c method and the shooting strategy. As the Stefan blowing parameter rises, the velocity profile and the rates of mass and heat transfer rise, but the concentration and temperature profiles fall.
{"title":"Applications of Casson tetra hybrid nanofluid in industrial cooling systems: An investigation of radiative flow and Stephan blowing impacts","authors":"Mostafa Mohamed Okasha , Munawar Abbas , Hawzhen Fateh M. Ameen , Faisal Salah , Ansar Abbas , Ilyas Khan , Maawiya Ould Sidi , Wajdi Rajhi , Ahmed M. Galal","doi":"10.1016/j.jrras.2025.101300","DOIUrl":"10.1016/j.jrras.2025.101300","url":null,"abstract":"<div><div>The present work describes the Dufour and Soret effects on radiative flow of Casson tetra hybrid nanofluid over sheet with Stephan blowing, nanoparticles, and porous medium. A tetra hybrid nanofluid is utilized, which comprises fluid sodium alginate and nanoparticles of iron oxide <span><math><mrow><mo>(</mo><mrow><mi>F</mi><msub><mi>e</mi><mn>3</mn></msub><msub><mi>O</mi><mn>4</mn></msub></mrow><mo>)</mo></mrow></math></span>, copper <span><math><mrow><mrow><mo>(</mo><mrow><mi>C</mi><mi>u</mi></mrow><mo>)</mo></mrow><mtext>,</mtext></mrow></math></span> titanium oxide <span><math><mrow><mo>(</mo><mrow><mtext>Ti</mtext><msub><mi>O</mi><mrow><mn>2</mn><mo>,</mo></mrow></msub></mrow><mo>)</mo></mrow></math></span> and cobalt ferrite <span><math><mrow><mo>(</mo><mrow><mi>C</mi><mi>o</mi><mi>F</mi><msub><mi>e</mi><mn>2</mn></msub><msub><mi>O</mi><mn>4</mn></msub></mrow><mo>)</mo></mrow></math></span>. This model is crucial for determining how to improve the thermal performance of these nanofluids, which are used in high-efficiency cooling systems, electronic cooling technologies, and heat exchangers. Although the Soret-Dufour effects help us better understand the relationship between diffusion and temperature in these complex fluids, the incorporation of Stephan blowing mechanisms facilitates accurate modeling of mass transfer and phase change phenomena. Equations of ordinary differential are converted from the partial differential equations. The updated equations are resolved using both the Bvp4c method and the shooting strategy. As the Stefan blowing parameter rises, the velocity profile and the rates of mass and heat transfer rise, but the concentration and temperature profiles fall.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101300"},"PeriodicalIF":1.7,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350095","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 : 2025-02-08DOI: 10.1016/j.jrras.2025.101335
Humaira Yasmin , Rawan Bossly , Fuad S. Alduais , Afrah Al-Bossly , Muhammad Arif
In this study, we investigate the magnetohydrodynamic irreversibility generation that arises in weakly conducting dissipative Casson fluid flow due to the moving Riga plate in an electro-magnetohydrodynamic actuator. The consequences of Joule heating, chemical reaction, heat source, wall suction, and thermal radiation are also assessed in the fluid flow system. The electromagnetic properties of the Riga plate are studied by including the Grinberg term in the momentum equation. The fluid flow mechanism is expressed through the system of PDEs. The modeled PDEs are converted to a set of ODEs, by using the similarity substitution. The solutions are obtained numerically by using the bvp4c approach. It is found that the influence of the wall suction factor remarkably increases the thermodynamic irreversibility and heat transmission rate adjacent to the plate surface, while an opposite effect is observed as the strength of the magnetic field rises. The rising impact of Hartmann and Prandtl number reduces the temperature of the fluid. While the influence of Eckert number and thermal radiation boosts the temperature of Casson fluid. The concentration distribution has declined with growth in Schmidt number, Brownian motion, and chemically reactive factors. A comparative analysis is carried out to match current results with established data. A fine agreement is found amongst all the results that validates the accuracy and reliability of the solutions.
{"title":"Novel physical applications of thermal radiation within the dissipative EMHD Casson fluid flow past a horizontal Riga plate","authors":"Humaira Yasmin , Rawan Bossly , Fuad S. Alduais , Afrah Al-Bossly , Muhammad Arif","doi":"10.1016/j.jrras.2025.101335","DOIUrl":"10.1016/j.jrras.2025.101335","url":null,"abstract":"<div><div>In this study, we investigate the magnetohydrodynamic irreversibility generation that arises in weakly conducting dissipative Casson fluid flow due to the moving Riga plate in an electro-magnetohydrodynamic actuator. The consequences of Joule heating, chemical reaction, heat source, wall suction, and thermal radiation are also assessed in the fluid flow system. The electromagnetic properties of the Riga plate are studied by including the Grinberg term in the momentum equation. The fluid flow mechanism is expressed through the system of PDEs. The modeled PDEs are converted to a set of ODEs, by using the similarity substitution. The solutions are obtained numerically by using the bvp4c approach. It is found that the influence of the wall suction factor remarkably increases the thermodynamic irreversibility and heat transmission rate adjacent to the plate surface, while an opposite effect is observed as the strength of the magnetic field rises. The rising impact of Hartmann and Prandtl number reduces the temperature of the fluid. While the influence of Eckert number and thermal radiation boosts the temperature of Casson fluid. The concentration distribution has declined with growth in Schmidt number, Brownian motion, and chemically reactive factors. A comparative analysis is carried out to match current results with established data. A fine agreement is found amongst all the results that validates the accuracy and reliability of the solutions.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101335"},"PeriodicalIF":1.7,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350489","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 : 2025-02-06DOI: 10.1016/j.jrras.2025.101326
M. Faraz, Jang Min Park
In this article, the behavior of Maxwell nanofluid flow over a stretchable cylinder is investigated. The nanofluid under study is synthesized by integrating single-walled carbon nanotubes and multi-walled carbon nanotubes into sodium alginate as the base fluid. The effects of thermal radiation, external magnetic field, and viscous dissipation on the fluid flow are considered to enhance the heat transfer efficiency. The governing set of partial differential equations is modeled and subsequently transformed into a set of ordinary differential equations using appropriate similarity transformations. The resulting equations are solved numerically using the Runge-Kutta-Fehlberg method in conjunction with the shooting procedure. Graphical simulations are utilized to illustrate the influence of various key parameters on the relevant physical quantities. The temperature profiles amplify with a rise in the Eckert number, curvature, and radiation parameters but decline with increasing nanoparticle concentration, while engineering metrics, including the skin friction coefficient and local Nusselt number, are analyzed and tabulated to evaluate the performance characteristics of the nanofluid system. The skin friction coefficient increases with higher curvature, magnetic field strength, Maxwell fluid parameters, and nanoparticle concentration, while the Nusselt number decreases with rising Eckert number, nanoparticle concentration, and Maxwell fluid parameters.
{"title":"Thermal and MHD behavior of CNT Maxwell nanofluid over a stretchable cylinder","authors":"M. Faraz, Jang Min Park","doi":"10.1016/j.jrras.2025.101326","DOIUrl":"10.1016/j.jrras.2025.101326","url":null,"abstract":"<div><div>In this article, the behavior of Maxwell nanofluid flow over a stretchable cylinder is investigated. The nanofluid under study is synthesized by integrating single-walled carbon nanotubes and multi-walled carbon nanotubes into sodium alginate as the base fluid. The effects of thermal radiation, external magnetic field, and viscous dissipation on the fluid flow are considered to enhance the heat transfer efficiency. The governing set of partial differential equations is modeled and subsequently transformed into a set of ordinary differential equations using appropriate similarity transformations. The resulting equations are solved numerically using the Runge-Kutta-Fehlberg method in conjunction with the shooting procedure. Graphical simulations are utilized to illustrate the influence of various key parameters on the relevant physical quantities. The temperature profiles amplify with a rise in the Eckert number, curvature, and radiation parameters but decline with increasing nanoparticle concentration, while engineering metrics, including the skin friction coefficient and local Nusselt number, are analyzed and tabulated to evaluate the performance characteristics of the nanofluid system. The skin friction coefficient increases with higher curvature, magnetic field strength, Maxwell fluid parameters, and nanoparticle concentration, while the Nusselt number decreases with rising Eckert number, nanoparticle concentration, and Maxwell fluid parameters.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101326"},"PeriodicalIF":1.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143351591","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 : 2025-02-06DOI: 10.1016/j.jrras.2025.101324
Ahmed M.T. Abd El-Bar , Haseeb Athar , Mohamed Kayid , R.M. Sayed , Oluwafemi Samson Balogun , Ahmed M. Felifel
The Cosine-Sine (CS) distribution with constrained support was recently introduced by Abd El-Bar et al., (2021). This model may exhibit increased and bathtub-shaped hazard rates. This model presents the distribution of dual generalized order statistics and characterization findings using truncated moments. We also provide many traditional methods for calculating the CS estimator. Furthermore, we have analyzed the behavior of the CS model parameter using randomly generated data sets and these estimation techniques. Ultimately, we use two distinct datasets about physics and radiation to demonstrate the relevance of the CS distribution in data modeling. The novel model demonstrates an acceptable match relative to other established models in the current research literature. This illustrates the potential of the CS distribution as a powerful instrument in data analysis in the domain of physics and radiation.
{"title":"The cosine-sine model: Dual generalized order statistics, characterization, and estimation methods with applications to physics and radiation","authors":"Ahmed M.T. Abd El-Bar , Haseeb Athar , Mohamed Kayid , R.M. Sayed , Oluwafemi Samson Balogun , Ahmed M. Felifel","doi":"10.1016/j.jrras.2025.101324","DOIUrl":"10.1016/j.jrras.2025.101324","url":null,"abstract":"<div><div>The Cosine-Sine (CS) distribution with constrained support was recently introduced by Abd El-Bar et al., (2021). This model may exhibit increased and bathtub-shaped hazard rates. This model presents the distribution of dual generalized order statistics and characterization findings using truncated moments. We also provide many traditional methods for calculating the CS estimator. Furthermore, we have analyzed the behavior of the CS model parameter using randomly generated data sets and these estimation techniques. Ultimately, we use two distinct datasets about physics and radiation to demonstrate the relevance of the CS distribution in data modeling. The novel model demonstrates an acceptable match relative to other established models in the current research literature. This illustrates the potential of the CS distribution as a powerful instrument in data analysis in the domain of physics and radiation.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101324"},"PeriodicalIF":1.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143282546","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 : 2025-02-06DOI: 10.1016/j.jrras.2025.101332
Yingji Li , Yanshu Jia , Weiwei Zhou , Qiang Li
To solve the current problem of large-scale and multi-modal medical data storage and management, this study proposes a medical big data storage and management method that integrates lightweight image classification models. This method innovatively combines lightweight neural networks and attention mechanisms to construct an image classification model, while also building a medical big data storage system and designing corresponding retrieval management schemes. The results showed that the proposed model had accuracies of 0.973 and 0.975, recall rates of 0.95 and 0.953, and mean average precision values of 0.93 and 0.95 on the chest and stomach electronic computed tomography datasets. The write efficiency and query efficiency of the proposed system have been improved by 20.01 and 2.5 times, respectively, with a data compression rate of 53.1%. The hit rate of the proposed solution has increased by 46.7%, while data access and retrieval latency have been reduced by 55.1% and 30.8%. Research has shown that this method significantly improves image classification prediction accuracy, data storage capacity, and data retrieval access efficiency. Research methods can provide storage and management support for multi-modal medical big data, thereby promoting the development of intelligent medical services towards higher quality.
{"title":"Method for storing and managing medical big data by integrating lightweight image classification models","authors":"Yingji Li , Yanshu Jia , Weiwei Zhou , Qiang Li","doi":"10.1016/j.jrras.2025.101332","DOIUrl":"10.1016/j.jrras.2025.101332","url":null,"abstract":"<div><div>To solve the current problem of large-scale and multi-modal medical data storage and management, this study proposes a medical big data storage and management method that integrates lightweight image classification models. This method innovatively combines lightweight neural networks and attention mechanisms to construct an image classification model, while also building a medical big data storage system and designing corresponding retrieval management schemes. The results showed that the proposed model had accuracies of 0.973 and 0.975, recall rates of 0.95 and 0.953, and mean average precision values of 0.93 and 0.95 on the chest and stomach electronic computed tomography datasets. The write efficiency and query efficiency of the proposed system have been improved by 20.01 and 2.5 times, respectively, with a data compression rate of 53.1%. The hit rate of the proposed solution has increased by 46.7%, while data access and retrieval latency have been reduced by 55.1% and 30.8%. Research has shown that this method significantly improves image classification prediction accuracy, data storage capacity, and data retrieval access efficiency. Research methods can provide storage and management support for multi-modal medical big data, thereby promoting the development of intelligent medical services towards higher quality.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101332"},"PeriodicalIF":1.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143282547","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 : 2025-02-05DOI: 10.1016/j.jrras.2025.101315
Ahmed M. Galal , Munawar Abbas , A. H. Alzahrani , Hawzhen Fateh M. Ameen , Y. Khan
This paper examines the influence of Stefan blowing on the Darcy-Forchheimer 2D flow of a trihybrid liquid by taking into account local thermal non-equilibrium conditions and thermophoretic particle deposition in the manifestation of nanoparticles. The present study inspects the properties of heat transmission without local thermal equilibrium conditions using a simple mathematical model. The local thermal non-equilibrium classical generates two dissimilar necessary thermal gradients for the liquid and solid phases. A trihybrid nanofluid consisting of , , and propylene glycol ( as the base fluid is used. This model is crucial for optimizing thermal management systems in complex technical attributes where efficient heat dissipation is crucial, such as microelectronic cooling. It also aids in enhancing the efficiency of solar thermal systems by raising heat transfer rates. The analytical method known as Homotopy analysis method is used to obtain the numerical outcomes of the governing equations. The flow distribution, mass transfer rate, and heat transmission rate all rise as the Stefan blowing factor rises, whereas the solutal and thermal fields of the liquid and solid phases decline. Increasing the Stefan blowing parameter value from 0.1 to 0.7 results in a 7.21% increase in the liquid phase heat transfer values of the trihybrid nanofluid.
{"title":"Local thermal non-equilibrium effects on radiative ternary hybrid nanofluid with thermophoresis and Stefan Blowing impacts: Yamada-Ota and Xue model","authors":"Ahmed M. Galal , Munawar Abbas , A. H. Alzahrani , Hawzhen Fateh M. Ameen , Y. Khan","doi":"10.1016/j.jrras.2025.101315","DOIUrl":"10.1016/j.jrras.2025.101315","url":null,"abstract":"<div><div>This paper examines the influence of Stefan blowing on the Darcy-Forchheimer 2D flow of a trihybrid liquid by taking into account local thermal non-equilibrium conditions and thermophoretic particle deposition in the manifestation of nanoparticles. The present study inspects the properties of heat transmission without local thermal equilibrium conditions using a simple mathematical model. The local thermal non-equilibrium classical generates two dissimilar necessary thermal gradients for the liquid and solid phases. A trihybrid nanofluid consisting of <span><math><mrow><mi>T</mi><mi>i</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>, <span><math><mrow><mi>A</mi><mi>A</mi><mn>7072</mn></mrow></math></span>, <span><math><mrow><mi>A</mi><mi>A</mi><mn>7075</mn></mrow></math></span> and propylene glycol (<span><math><mrow><mrow><msub><mrow><msub><mi>C</mi><mn>3</mn></msub><mi>H</mi></mrow><mn>8</mn></msub><msub><mi>O</mi><mn>2</mn></msub></mrow><mo>)</mo></mrow></math></span> as the base fluid is used. This model is crucial for optimizing thermal management systems in complex technical attributes where efficient heat dissipation is crucial, such as microelectronic cooling. It also aids in enhancing the efficiency of solar thermal systems by raising heat transfer rates. The analytical method known as Homotopy analysis method is used to obtain the numerical outcomes of the governing equations. The flow distribution, mass transfer rate, and heat transmission rate all rise as the Stefan blowing factor rises, whereas the solutal and thermal fields of the liquid and solid phases decline. Increasing the Stefan blowing parameter value from 0.1 to 0.7 results in a 7.21% increase in the liquid phase heat transfer values of the trihybrid nanofluid.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 1","pages":"Article 101315"},"PeriodicalIF":1.7,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094982","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 : 2025-02-05DOI: 10.1016/j.jrras.2025.101292
Mohamed Kezzar , Ilyas Khan , Gopinath Mandal , Ali Ahmed Alqahtani , Nassima Sotehi , Mohamed R. Sari , Ismail Tabet , Muhammad Sabaoon Khan
This study investigates the 3D flow characteristics of a tetra hybrid nanofluid across a stretching sheet, taking into account thermal radiation, shape factors (sphere, column, and lamina), and the effects of a Casson base liquid (blood). Four nanoparticles are considered: ZrO₂, MoS₂, MWCNTs, and UO₂. Nonlinear ODEs are derived from the governing nonlinear PDEs using similarity transformations. The model's performance is evaluated through both numerical and analytical solutions, with the analytical solution constructed using the Adomian Decomposition Method (ADM) and the numerical solution with the help of the Explicit Runge-Kutta Technique (ERKM). The effects of key parameters across velocity, temperature profiles, Nusselt numbers and skin friction, is illustrated. Results for specific cases are compared between the numerical and analytical approaches. Columns, spheres, and lamina are examples of the nanoparticle shapes used in the investigation. Overall, 11.78% and 1.83% improvement can be observed in Skin friction and Nusselt number for considering ZrO2-MoS2-MWCNTs-UO2/Blood Casson tetra-hybrid nanofluid than normal blood fluid. Skin friction is improved by 4.90%, but the Nusselt number is reduced by 2.03% for the Casson fluid parameter. Lamina-typed nanoparticles admit minimum, sphere-typed nanoparticles admit maximum skin friction, whereas reverse effects are found in local Nusselt numbers. Hence, this study benefits medicine, specifically cancer treatment, tissue repair, and drug delivery systems.
{"title":"Impact of solar thermal radiation and shape factors on 3D flow of Casson tetra hybrid nanofluid","authors":"Mohamed Kezzar , Ilyas Khan , Gopinath Mandal , Ali Ahmed Alqahtani , Nassima Sotehi , Mohamed R. Sari , Ismail Tabet , Muhammad Sabaoon Khan","doi":"10.1016/j.jrras.2025.101292","DOIUrl":"10.1016/j.jrras.2025.101292","url":null,"abstract":"<div><div>This study investigates the 3D flow characteristics of a tetra hybrid nanofluid across a stretching sheet, taking into account thermal radiation, shape factors (sphere, column, and lamina), and the effects of a Casson base liquid (blood). Four nanoparticles are considered: ZrO₂, MoS₂, MWCNTs, and UO₂. Nonlinear ODEs are derived from the governing nonlinear PDEs using similarity transformations. The model's performance is evaluated through both numerical and analytical solutions, with the analytical solution constructed using the Adomian Decomposition Method (ADM) and the numerical solution with the help of the Explicit Runge-Kutta Technique (ERKM). The effects of key parameters across velocity, temperature profiles, Nusselt numbers and skin friction, is illustrated. Results for specific cases are compared between the numerical and analytical approaches. Columns, spheres, and lamina are examples of the nanoparticle shapes used in the investigation. Overall, 11.78% and 1.83% improvement can be observed in Skin friction and Nusselt number for considering ZrO<sub>2</sub>-MoS<sub>2</sub>-MWCNTs-UO<sub>2</sub>/Blood Casson tetra-hybrid nanofluid than normal blood fluid. Skin friction is improved by 4.90%, but the Nusselt number is reduced by 2.03% for the Casson fluid parameter. Lamina-typed nanoparticles admit minimum, sphere-typed nanoparticles admit maximum skin friction, whereas reverse effects are found in local Nusselt numbers. Hence, this study benefits medicine, specifically cancer treatment, tissue repair, and drug delivery systems.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101292"},"PeriodicalIF":1.7,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143855","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}
Numerous radiobiological models have been developed to evaluate the cell-killing effects in radiotherapy. However, many commonly adopted models face limitations, such as reduced accuracy in predicting the effects of specific radiation types or in complex biological conditions. Lea's target model was chosen for this study due to its established mathematical foundation and its ability to model cell survival in response to high-dose radiation scenarios, making it a suitable framework for clinical applications.
Methods
This study applies Lea's target theory to model the relative biological effectiveness (RBE) and calculate the cell survival fraction for radiation therapy. A MATLAB standalone application, featuring a graphical user interface, was developed to enable easy input of parameters such as tumor target volume, the number of targets, and the number of hits. The application is designed for practical use, allowing clinicians and researchers to simulate and analyze survival fractions efficiently.
Results
Results demonstrate a mathematical relationship where an increase in the number of hits (n) (the number of times a cell target is hit by radiation particles) leads to a proportional increase in cell survival fraction. Specifically, under standard parameters of a 1 cm³ cell volume (V) and 5 targets (N), higher values of n show a marked improvement in survival predictions. Simulations revealed that varying n while holding other parameters constant results in a predictable survival fraction curve, emphasizing the sensitivity of survival to hit probability.
Conclusions
The successful development of a simulator using Lea's target model provides an accurate and efficient tool for predicting cell survival fractions in radiation therapy. This represents a significant step forward in improving both treatment planning and patient outcome prediction. The tool's ability to account for key parameters of radiation interaction offers clinicians a valuable resource for refining therapeutic strategies.
{"title":"Designing a simulator for implementing Lea's target radiobiological model in cancer treatment","authors":"Radhey Lal , Rajiv Kumar Singh , Fidele Maniraguha","doi":"10.1016/j.jrras.2025.101327","DOIUrl":"10.1016/j.jrras.2025.101327","url":null,"abstract":"<div><h3>Background</h3><div>Numerous radiobiological models have been developed to evaluate the cell-killing effects in radiotherapy. However, many commonly adopted models face limitations, such as reduced accuracy in predicting the effects of specific radiation types or in complex biological conditions. Lea's target model was chosen for this study due to its established mathematical foundation and its ability to model cell survival in response to high-dose radiation scenarios, making it a suitable framework for clinical applications.</div></div><div><h3>Methods</h3><div>This study applies Lea's target theory to model the relative biological effectiveness (RBE) and calculate the cell survival fraction for radiation therapy. A MATLAB standalone application, featuring a graphical user interface, was developed to enable easy input of parameters such as tumor target volume, the number of targets, and the number of hits. The application is designed for practical use, allowing clinicians and researchers to simulate and analyze survival fractions efficiently.</div></div><div><h3>Results</h3><div>Results demonstrate a mathematical relationship where an increase in the number of hits (n) (the number of times a cell target is hit by radiation particles) leads to a proportional increase in cell survival fraction. Specifically, under standard parameters of a 1 cm³ cell volume (V) and 5 targets (N), higher values of n show a marked improvement in survival predictions. Simulations revealed that varying n while holding other parameters constant results in a predictable survival fraction curve, emphasizing the sensitivity of survival to hit probability.</div></div><div><h3>Conclusions</h3><div>The successful development of a simulator using Lea's target model provides an accurate and efficient tool for predicting cell survival fractions in radiation therapy. This represents a significant step forward in improving both treatment planning and patient outcome prediction. The tool's ability to account for key parameters of radiation interaction offers clinicians a valuable resource for refining therapeutic strategies.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 1","pages":"Article 101327"},"PeriodicalIF":1.7,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095026","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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