Journal of Radiation Research and Applied Sciences最新文献

{"title":"On estimating the finite population mean using improved estimators in adaptive cluster sampling design","authors":"Rohan Mishra ,&nbsp;Diaa S. Metwally ,&nbsp;Rajesh Singh ,&nbsp;Nitesh Kumar Adichwal","doi":"10.1016/j.jrras.2025.101593","DOIUrl":"10.1016/j.jrras.2025.101593","url":null,"abstract":"<div><div>This article introduces a generalized class of estimators tailored for estimating the finite population mean within the framework of Adaptive Cluster Sampling (ACS) design. The proposed class is designed to encompass numerous existing estimators as its particular cases while also introducing several new novel estimators. It should be noted that the existing estimators which are presented in Section 3 are members of the proposed log type generalized class <span><math><mrow><msub><mi>T</mi><mi>g</mi></msub></mrow></math></span>. From the proposed log type generalized class <span><math><mrow><msub><mi>T</mi><mi>g</mi></msub></mrow></math></span>, four new log type estimators are developed. We derive the expressions for bias and mean square error (MSE) up to the first order of approximation. Through simulation studies and a real data application, we compare the performance of the new estimators derived from this proposed class with existing ones, demonstrating that the newly developed estimators outperform their existing counterparts. For the better understanding of the performances of our suggested class of estimators, we present the numerical results graphically.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101593"},"PeriodicalIF":1.7,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The modified sign test under indeterminacy with application to COVID-19 data","authors":"Qamer Abbas ,&nbsp;L.S. Diab ,&nbsp;Safar M. Alghamdi ,&nbsp;Farrukh Jamal","doi":"10.1016/j.jrras.2025.101583","DOIUrl":"10.1016/j.jrras.2025.101583","url":null,"abstract":"<div><div>The sign test is a non-parametric method for assessing median differences in paired observations, especially when parametric assumptions (e.g., normality for paired t-tests) are violated. However, its conventional form is limited to exact categorical data (binary/ordinal) and cannot handle interval-valued data (measurements expressed as ranges), restricting its use in cases of imprecise, vague, or indeterminate observations. To address this gap, we propose a modified neutrosophic sign test that incorporates indeterminacy, enabling analysis of interval-valued data for both one-sample and two-sample hypothesis testing under uncertainty. We validate its efficacy through two real-world case studies: (1) assessing COVID-19 reproduction rates to evaluate transmission dynamics and (2) analyzing daily ICU occupancy trends for COVID-19-positive patients in Pakistan. These applications highlight its adaptability in public health scenarios with data variability. Results confirm that the neutrosophic sign test effectively resolves nonparametric decision-making problems involving interval data, providing robust statistical insights in fields like engineering, biological sciences, and public health—where indeterminate data are common. By accommodating imprecision, this approach enhances the traditional sign test's versatility, making it a practical tool for modern statistical analysis in complex, uncertain environments.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101583"},"PeriodicalIF":1.7,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning estimation of heat and mass transfer attributes of thermal radiative Williamson nanofluid flow via nonlinear stretchable surface","authors":"Syed M. Hussain ,&nbsp;Dilawar Nawaz ,&nbsp;Bushra Attique ,&nbsp;Muhammad Haroon ,&nbsp;Wasim Jamshed ,&nbsp;Kamel Guedri ,&nbsp;Basim M. Makhdoum ,&nbsp;Abdulrazak H. Almaliki","doi":"10.1016/j.jrras.2025.101581","DOIUrl":"10.1016/j.jrras.2025.101581","url":null,"abstract":"<div><div>Nanomaterials exhibit remarkable thermal properties and have promising utilization in areas such as thermal energy transmission, biopharmaceuticals, the food industry, solar power generation and electric cooling systems. The significant applications of nanoparticles inspired the development of a mathematical model to analyze mass and heat transfer in magnetically influenced Williamson nanoliquid flow across an exponentially extendable surface by incorporating physical factors of Brownian motion and thermophoresis effects along with Arrhenius activation energy and convective boundary constraints. The fundamental equations describing the mathematical structure are designed in the sense of a highly nonlinear coupled partial differential setup. A set of similar variables is utilized to transmute the differential setup into a non-dimensional ordinary system. The attained ODEs are resolved with the implementation of a shooting algorithm in conjunction with the RK-4 technique. Afterwards, a machine learning algorithm based on the backpropagated Leven-berg Marquardt paradigm is also utilized to forecast the numerical outcomes of the quantities of engineering. The impact of relevant flow factors on the associated flow distributions and the quantities of engineering interest are presented via graphical and tabular format. The numerical outcomes signify that momentum distribution dominates by inducing mono nanoparticles as compared to hybrid particles. Enhancement in thermal distribution is perceived by intensifying Brownian motion and thermophoresis effects, whereas contrary aspects are observed for associated flux. In addition, the trained ANN models shows that the best validation performance of Model-A is 1.15e-5 that happens at 565 epochs, while the best validation performance for Model-B is 3.38e-5 at 641 epochs. Small estimations guarantee that model training completed properly. Nusselt number elevates by 29 % for mono and 25 % for hybrid nanoliquid flow when <span><math><mrow><mo>(</mo><mrow><mi>R</mi><mi>d</mi></mrow><mo>)</mo></mrow></math></span> varies from 0.2 to 0.6, while depreciates up to 1.5 % by elevating <span><math><mrow><mrow><mo>(</mo><mrow><mi>N</mi><mi>t</mi></mrow><mo>)</mo></mrow><mtext>.</mtext></mrow></math></span></div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101581"},"PeriodicalIF":1.7,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the impact of thermal radiation, induced magnetic force, and convective boundary condition on MHD nanofluid flows","authors":"G. Venkata Ramana Reddy ,&nbsp;Charankumar Ganteda ,&nbsp;Maria Naseem ,&nbsp;Muhammad Amer Qureshi ,&nbsp;Wasim Jamshed ,&nbsp;Mohamed R. Eid ,&nbsp;Syed M. Hussain ,&nbsp;Abdulrazak H. Almaliki","doi":"10.1016/j.jrras.2025.101572","DOIUrl":"10.1016/j.jrras.2025.101572","url":null,"abstract":"<div><div>A numerical model is developed to investigate the heat and mass transfer characteristics of a two-dimensional Maxwell nanofluid flow over an expanding/shrinking surface under the influence of thermal radiation and an induced magnetized force. The governing nonlinear differential equations, which account for magnetohydrodynamic (MHD) effects and viscoelastic fluid behavior, are solved numerically using the Runge-Kutta-Fehlberg (RKF45) method. The study aims to obtain detailed profiles for velocity, temperature, and concentration distributions under varying physical parameters.</div><div>The results indicate that the Deborah number significantly enhances the flow velocity due to the elastic nature of the Maxwell fluid. An increase in the magnetic parameter (M) leads to a suppression of the velocity field as a result of the Lorentz force while simultaneously strengthening the induced magnetic field. The thermal radiation parameter (Nr) positively impacts the temperature distribution, thereby increasing the thermal boundary layer thickness. Furthermore, the Lewis number (<em>Le</em>) is found to reduce concentration levels, indicating dominant thermal over mass diffusivity.</div><div>Overall, the study provides new insights into the coupled effects of magnetic induction, radiative heat transfer, and fluid elasticity on nanofluid transport behaviour, which has practical implications in material processing, energy systems, and biomedical engineering applications.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101572"},"PeriodicalIF":1.7,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient energy utilization in LTE networks with intelligent handover mechanisms","authors":"Umar Danjuma Maiwada ,&nbsp;Gaber Sallam Salem Abdalla ,&nbsp;Narinderjit Singh Sawaran Singh ,&nbsp;Anas A. Salameh","doi":"10.1016/j.jrras.2025.101599","DOIUrl":"10.1016/j.jrras.2025.101599","url":null,"abstract":"<div><div>As mobile data traffic surges and the number of connected devices rises, energy efficiency has become a critical concern in Long-Term Evolution (LTE) networks. Traditional handover algorithms in LTE systems prioritize metrics such as signal strength and load balancing, often overlooking the impact on energy consumption. This study addresses that gap by proposing an intelligent, data-driven handover optimization framework designed to reduce energy usage in heterogeneous LTE environments. The core objective is to enhance network sustainability without significantly compromising Quality of Service (QoS). To achieve this, we introduce a machine learning-based handover decision mechanism that integrates user behavior prediction and workload balancing. Thus, analyzing both user mobility patterns and network conditions, the proposed system identifies optimal timing and target cells for handovers. This proactive strategy minimizes unnecessary signaling and handover attempts, which are common sources of energy waste in traditional approaches. The framework includes a Mobility Load Balancing (MLB) algorithm that extends beyond conventional metrics, incorporating energy-awareness as a key factor in decision-making. Simulations demonstrate that our intelligent handover mechanism delivers substantial energy savings while maintaining service quality at acceptable levels. Specifically, it outperforms standard LTE handover methods by significantly reducing redundant handovers and base station power usage. This research not only contributes to the theoretical understanding of energy-efficient radio network (RN) management but also provides a practical solution for telecom operators aiming to deploy greener LTE infrastructures. Also, leveraging machine learning techniques, the proposed model supports more sustainable operations and helps networks better manage the increasing data demands of the Internet of Things (IoT) era. In summary, our work introduces a novel, intelligent approach to LTE handover management that aligns energy efficiency with service performance. The findings suggest that intelligent, predictive algorithms can play a pivotal role in creating more sustainable and cost-effective wireless networks.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101599"},"PeriodicalIF":1.7,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143931372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DE-UNeXt: Dual encoder UNeXt for intracranial hemorrhage segmentation on a novel HBU CH dataset","authors":"Jun Wang ,&nbsp;Tiegang Jia ,&nbsp;Lei Liu ,&nbsp;Shuai Wang ,&nbsp;Zhaoqi Wang ,&nbsp;Shanshan Chu","doi":"10.1016/j.jrras.2025.101551","DOIUrl":"10.1016/j.jrras.2025.101551","url":null,"abstract":"<div><h3>Objective:</h3><div>Intracranial hemorrhage(ICH) is one of the highly fatal diseases. Clinically, CT scans are key for doctors to assess the extent of hemorrhage and develop treatment plans. However, there are currently few publicly available pixel-level ICH datasets, which limits the improvement of CT image segmentation performance for intracranial hemorrhage. To address this problem, this paper proposes a new intracranial hemorrhage image dataset, HBU CH, which aims to provide rich, diverse, and realistic intracranial hemorrhage cases. Meanwhile, an end-to-end intracranial hemorrhage segmentation network, DE-UNeXt, is proposed to improve the segmentation accuracy of the lesion parts.</div></div><div><h3>Methods:</h3><div>First, a Dual Encoder Structure (DE) is proposed, where both the original image and its inverted counterpart are input into two parallel encoders. This approach captures object features from two complementary perspectives, enabling the learning of a richer feature representation. Next, a Dual Feature Compensation (DFC) Module is proposed, which combines traditional convolutional methods with contextual Transformers to process and fuse the features extracted from the DE structure in parallel. The DFC module accounts for both local spatial information and global semantic context, thereby enhancing segmentation accuracy and refining lesion boundaries.</div></div><div><h3>Results:</h3><div>Experiments conducted on the proposed HBU CH dataset, as well as two widely used datasets – BCIHM and BHSD – demonstrate that the proposed DE-UNeXt, built on a lightweight network, outperforms the baseline method. Specifically, the Intersection over Union (IoU) and F1 score of DE-UNeXt show improvements of approximately 3.06% and 2.01%, respectively. The code and dataset are available at <span><span>https://github.com/davidsmithwj/DE-UNeXt</span><svg><path></path></svg></span> for further research.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101551"},"PeriodicalIF":1.7,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shape features in magnetized hybrid nanofluid subject to thermal radiation, viscous dissipation and chemical effects: Insight to nanoparticles morphology","authors":"Rejab Hajlaoui ,&nbsp;Sami Ullah Khan ,&nbsp;Badr M. Alshammari ,&nbsp;Mohamed Mahdi Boudabous ,&nbsp;Mohamed Turki ,&nbsp;Chemseddine Maatki ,&nbsp;Mohammed Naceur Borjini ,&nbsp;Lioua Kolsi","doi":"10.1016/j.jrras.2025.101574","DOIUrl":"10.1016/j.jrras.2025.101574","url":null,"abstract":"<div><div>The hybrid nanomaterials are advanced working fluids that offer enhanced thermal impact due to combination of multiple nanoparticles. Owing to improved thermal features, the hybrid nanofluids are assumed to be ideal for enhancing the heat transfer phenomenon in various thermal systems, solar energy, cooling processes, heat exchangers and nuclear systems. Current study explores the thermal management of magnetized hybrid nanofluid with applications of non-classical Fourier approach. A uniform decomposition of titanium dioxide (TiO₂) and silicon dioxide (SiO₂) nanoparticles with human blood base fluid has been assumed. The improvement of heat transfer is further analyzed by contributing the nonlinear thermal radiation and viscous dissipation effects. The concentration of nanofluid with applications of chemical reaction features is accounted. The mathematical model is developed by following famous Tiwari and Das model. The flow is subject to porous stretched surface subject to realistic engineering, industrial and biomedical engineering. The dimensionless form of problem is retained with implication of scaling parameters. The resultant system is solved numerically via the shooting method coupled with the Runge-Kutta technique, ensuring high accuracy and computational efficiency. Physical insight of key parameters has been examined graphically. The results show that consideration of nonlinear thermal radiation as well as viscous dissipation substantially enhances the transport phenomenon. The change in chemical reaction parameter reduces the concentration phenomenon. Furthermore, the combined impact of magnetohydrodynamics (MHD) and surface permeability alter the flow dynamics, offering valuable insights for optimizing processes in advanced thermal management systems and petroleum engineering.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101574"},"PeriodicalIF":1.7,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Altered brain functional connectivity in paroxysmal atrial fibrillation: Insights from resting-state fMRI","authors":"Dayang Huang,&nbsp;Dechun Yin,&nbsp;Xiufen Qu","doi":"10.1016/j.jrras.2025.101603","DOIUrl":"10.1016/j.jrras.2025.101603","url":null,"abstract":"<div><h3>Background</h3><div>Paroxysmal atrial fibrillation (PAF), an episodic form of irregular heart rhythm, is associated with changes in brain connectivity, particularly in regions involved in auto-nomic regulation. This study aimed to examine whole-brain functional connectivity (FC) in PAF patients compared to healthy controls (HCs) using resting-state functional MRI (rs-fMRI).</div></div><div><h3>Methods</h3><div>Twenty PAF patients and 19 age and gender matched HCs underwent rs-fMRI scans. The whole-brain voxel-wise FC analysis was conducted based on regions of interest defined by the Automated Anatomical Labeling 3 (AAL3) atlas. Seed regions showing significant group differences were refined into subregions to further define the altered function network.</div></div><div><h3>Results</h3><div>PAF patients exhibited altered FC in several brain regions, including the left posterior orbitofrontal cortex, the left hippocampus, multiple hypothalamic nuclei, left insula, left inferior frontal gyrus opercular part, left fusiform, right globus pallidus and left ventral tegmental area. Moreover, altered FC was observed in the left ventral anterior insula and the left anterior hippocampus with enhanced connectivity in limbic regions linked to autonomic dysregulation.</div></div><div><h3>Conclusions</h3><div>These findings reveal that PAF is associated with significant alterations in the neural networks that regulate emotional processing, sensory integration, and autonomic control.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101603"},"PeriodicalIF":1.7,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessmentof saudi radiologist performance in reading screening mammography","authors":"Salman M. Albeshan ,&nbsp;Areej Alofi ,&nbsp;Sultan F. Alhujaili ,&nbsp;Abdulaziz S. Alshabibi ,&nbsp;Basel Qenam ,&nbsp;Meaad M. Almusined ,&nbsp;Abdulmajeed Alotabibi ,&nbsp;Nuha A. Khoumais","doi":"10.1016/j.jrras.2025.101568","DOIUrl":"10.1016/j.jrras.2025.101568","url":null,"abstract":"<div><h3>Aim</h3><div>To evaluate the diagnostic performance of Saudi radiologists in interpreting screening mammograms.</div></div><div><h3>Methods</h3><div>A total of 72 readers participated, including 33 Saudis and 39 non-Saudis. Participants interpreted 30 mammograms (15 normal and 15 abnormal) using the DetectedX online platform. For each participant, key performance metrics were collected, including sensitivity, specificity, and lesion sensitivity. In addition, lesion detection performance was assessed with the Jackknife Free-Response Receiver Operating Characteristics (JAFROC) Figure of Merit (FOM). The analysis explored the relationship between performance metrics and key reader characteristics.</div></div><div><h3>Results</h3><div>Non-Saudi radiologists demonstrated significantly higher JAFROC scores (median = 0.53 vs. 0.43, <em>p</em> = 0.043) and specificity (median = 0.80 vs. 0.55, <em>p</em> &lt; 0.001) compared to Saudi radiologists. However, Saudi radiologists showed higher sensitivity (median = 0.80 vs. 0.60, <em>p</em> = 0.024). In the JAFROC model, nationality was a significant predictor, with non-Saudis scoring higher than Saudis (R² = 10.2 %, <em>p</em> = 0.04), whereas in the sensitivity model, Saudis outperformed non-Saudis (R² = 7.4 %, <em>p</em> = 0.02). Lesion sensitivity was predicted by position (R² = 15.2 %), while the specificity model explained the highest variance (R² = 44.7 %) based on both position and nationality.</div></div><div><h3>Conclusion</h3><div>While Saudi radiologists showed strong abilities in detecting breast cancer, their lower specificity highlights the need for improving diagnostic accuracy to reduce false positives. To enhance overall diagnostic accuracy in breast cancer screening, it is essential to implement targeted professional development programs focusing on balancing sensitivity and specificity.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101568"},"PeriodicalIF":1.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing thermal transport for magnetized radiating flow of ternary nanomaterial: Thermodynamics second law analysis","authors":"Hassan Ali Ghazwani","doi":"10.1016/j.jrras.2025.101576","DOIUrl":"10.1016/j.jrras.2025.101576","url":null,"abstract":"<div><div>Nanomaterial flows have gained considerable attention of numerous engineers and scientists now a days. It is due to significant utilization in tremendous real-life applications like nuclear reactor cooling, microelectronics, crack-resistance paint, engine cooling, heat exchangers, thermal power plants, enhance-oil recovery, transparent sunscreen, thermal transport, architecture etc. In view of such important applications, entropy optimized magnetohydrodynamic radiative flow of nanomaterial is organized. Porous space is discussed by Darcy-Forchheimer relation. Ternary hybrid nanomaterial is the hybridization of three types of nanoparticles (TiO₂, SiO₂ and MoS₄) in base liquid (blood). Flow model is developed to discuss the thermal transport characteristics of ternary hybrid (TiO₂ +SiO₂ +MoS₄/blood), hybrid (TiO₂+SiO₂/blood) and (TiO₂/blood) nanomaterial. Thermal relation comprises Ohmic heating, dissipation, radiation and heat generation. Significance feature of entropy rate is addressed. Related equations of proposed model are reduced into non-dimensional expressions. Dimensionless expressions are numerically solved by utilizing ND-solve method. Comparative study for velocity, coefficient of skin friction, temperature, Nusselt number and entropy rate for three considered nanomaterials is presented. It is noted that velocity intensifies with higher curvature variable while it decays for larger magnetic field. An increasing trend of drag force is noted for higher magnetic field and curvature variable. Higher radiation variable results in temperature enhancement. Entropy rate enhances against magnetic field. An enhancement in Nusselt number is detected for higher magnetic parameter. Augmentation in heat transport rate occurs for radiation. It is observed that frictional force is higher for ternary hybrid nanofluid (TiO₂ +SiO₂ +MoS₄ blood) when compared with hybrid nanofluid (TiO₂ +SiO₂ blood) and nanofluid (TiO₂ blood). Here one can find that temperature and energy transport rate for ternary hybrid nanofluid (TiO₂ +SiO₂ +MoS₄/blood) is more dominant than hybrid nanofluid (TiO₂ +SiO₂/blood) and nanofluid (TiO₂/blood).</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101576"},"PeriodicalIF":1.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}