Journal of Radiation Research and Applied Sciences最新文献_第8页

Comparative effect of ostrich, olive, and Omega-3 oils in the prevention of liver damage due to ionizing radiation in rats

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-24 DOI: 10.1016/j.jrras.2025.101321

Ozlem Elmas , Havva Hande Keser Sahin , Berrak Guven , Ghada ALMisned , Hesham M.H. Zakaly , H.O. Tekin , Antoaneta Ene

The objective of this study was to assess the potential advantageous impact of ostrich oil, olive oil, and omega-3 oil in mitigating the oxidative stress and hepatic tissue damage induced by ionizing radiation in rats. A total of sixty-four female Wistar albino rats were categorized into eight distinct groups, namely: (1) control, (2) irradiation, (3) ostrich oil, (4) ostrich oil combined with irradiation, (5) olive oil, (6) olive oil combined with irradiation, (7) omega-3, and (8) omega-3 combined with irradiation. Omega-3 oil treatment resulted in decreased levels of tissue total oxidant status (TOS) in both healthy and irradiated animals. The study revealed that the rats subjected to radiation and administered with ostrich oil and omega-3 exhibited the lowest levels of tissue total antioxidant status (TAS). The group that was exposed to radiation exhibited significant levels of lymphocyte infiltration, 70% of the samples displaying this characteristic. Additionally, 40% of the samples exhibited ballooning degeneration at the most severe levels, while 60% displayed necrotic changes at a severe level. The animals that were administered omega-3 oil exhibited the least amount of lymphocyte infiltration, ballooning degeneration, and necrotic changes among the groups that were exposed to radiation. The administration of ostrich oil, olive oil, and omega-3 oil at a concentration of 1 mL/kg before exposure to radiation resulted in a reduction of TOS and the restoration of liver morphology. The results of the study indicate that the administration of olive oil to animals resulted in the highest levels of antioxidant activity in irradiated rats. Additionally, rats that received omega-3 oil exhibited the lowest levels of lymphocyte infiltration, ballooning degeneration, and necrosis in liver tissue sections.

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引用次数: 0

YOLOv11-based multi-task learning for enhanced bone fracture detection and classification in X-ray images

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-24 DOI: 10.1016/j.jrras.2025.101309

Wanmian Wei , Yan Huang , Junchi Zheng , Yuanyong Rao , Yongping Wei , Xingyue Tan , Haiyang OuYang

Objective

This study presents a multi-task learning framework based on the YOLOv11 architecture to improve both fracture detection and localization. The goal is to provide an efficient solution for clinical applications.

Materials and methods

We used a large dataset of X-ray images, including both fracture and non-fracture cases from the upper and lower extremities. The dataset was divided into three parts: training (70%), validation (15%), and test (15%). The training set had 10,966 cases (5778 normal, 5188 with fractures), while the validation and test sets each contained 2350 cases (1238 normal, 1112 with fractures). A multi-task learning model based on YOLOv11 was trained for fracture classification and localization. We applied data augmentation to prevent overfitting and improve generalization. Model performance was evaluated using two metrics: mean Average Precision (mAP) and Intersection over Union (IoU), with comparisons made to Faster R-CNN and SSD models. Training was done with a learning rate of 0.001 and a batch size of 16, using the Adam optimizer for better convergence. We also benchmarked the YOLOv11 model against Faster R-CNN and SSD to assess performance using mAP and IoU scores at different thresholds.

Results

The YOLOv11 model achieved excellent results, with a mean Average Precision (mAP) of 96.8% at an IoU threshold of 0.5 and an IoU of 92.5%. These results were better than Faster R-CNN (mAP: 87.5%, IoU: 85.23%) and SSD (mAP: 82.9%, IoU: 80.12%), showing that YOLOv11 outperformed these models in fracture detection and localization. This improvement highlights the model's strength and efficiency for real-time use.

Conclusions

The YOLOv11-based multi-task learning framework significantly outperforms traditional methods, offering high accuracy and real-time fracture localization. This model shows great potential for clinical use, improving diagnostic accuracy, increasing productivity, and streamlining the workflow for radiologists.

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引用次数: 0

Exploring radiative and viscous dissipation effects on magnetized hybrid nanofluid (SiO2-TiO2/Ethylene glycol) for thermal performance enhancement

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-23 DOI: 10.1016/j.jrras.2025.101307

Manzoor Ishaq , Sami Ullah Khan , Adnan , Nermeen Abdullah , Mohammed A. Tashkandi , Lioua Kolsi

The effective thermal management of various engineering processes an energy applications identify the importance of advanced thermal fluids. This investigation aims to present the improve thermal results subject to magnetized flow of viscoelastic hybrid nanofluid, incorporating the decussations of titanium dioxide (TiO₂) and silicon dioxide (SiO₂) nanoparticles due to stretched porous surface. The ethylene glycol (C₂H₆O₂) is used for base fluid. The study includes the novel thermal features like thermal radiation, internal heat generation and viscous dissipation. Furthermore, suction effects are also contributed to analyze the problem. The extension in energy equation is suggested by attributing the Cattaneo-Christov (CC) heat flux law. The problem is expressed in dimensionless form for which shooting scheme is implemented for solution task. Comparative thermal measurements are performed between the mono nanomaterials (SiO₂/C₂H₆O₂) and hybrid nanofluid (SiO₂-TiO2/C₂H₆O₂), highlighting the improved thermal capabilities of hybrid system with magnetized constraints. The simulated results convey impressive improvement in the heat transfer rates subject to hybrid nanofluid as compared to mono-nanofluid, particularly in presence of peak magnetic intensities and porous media configurations. The heat transfer enhances due to Eckert number and suction parameter. The claimed observations contribute to the improvement of next generation tailored for significance in the advanced cooling processes, industrial heat exchangers and energy systems.

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引用次数: 0

Model development for thermodynamical analysis of convectively heated radiative and magnetized flow of ferromagnetic nanoparticles with oxytactic moment of microorganisms

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-22 DOI: 10.1016/j.jrras.2024.101270

Iftikhar Hussain , Waqar Azeem Khan , Muhammad Tabrez , Mehboob Ali , Taseer Muhammad

With the advancements in the field of nanotechnology the research on innovative type of fluid termed as nanofluids took attention of investigators because of its remarkable properties and usages in science as well as engineering. Since there are wide range of applications of nanofluids in different fields of life so this topic got much attention of researchers. A special feature of these fluids is environmental friendliness. Some prominent applications of nanofluid are found in the field of solar systems for improvement in efficiencies, industrial manufacturing procedures, thermal engineering along with cooling mechanisms like coolants in engines etc. Basic purpose of recent research is communication of magnetic effects in two dimensional Eyring Powell fluid models with the consideration of wide range of bioconvection as well nanofluid applications. The important properties of important physical parameters mainly Prandtl number, Magnetic interaction parameter, Eckert number, thermophoretic and Brownian motion parameter, while convectively heated surface with thermal gradient is also under consideration. The non-linear systems of PDEs are then converted into coupled nonlinear ODEs by use of appropriate similarity variables. It is observed that velocity of Eyring Powell fluid declined for increment in magnetic parameter, while temperature gradient increased with escalation in Eckert number. The density of motile microorganisms shown dwindling behavior for augmentation in estimation of Peclet number and Biot number.

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引用次数: 0

Local diagnostic reference levels for paediatric CT examinations at a large university hospital in Saudi Arabia

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-21 DOI: 10.1016/j.jrras.2025.101304

Khalid Alsafi

This study aimed to establish local diagnostic reference levels (LDRLs) for standard paediatric computed tomography (CT) examinations in a large teaching hospital in Jeddah, Saudi Arabia, and to compare them with the literature. We analysed data from 1199 paediatric patients who underwent head, chest, and abdomen–pelvis CT examinations between 2021 and 2023. Dose data were extracted from digital imaging and communications in medicine using DoseWatch software. The patients were categorized into four age groups. LDRLs were determined as the 75th percentile of the volume CT dose index (CTDIvol) and dose–length product (DLP) distribution from hospital data. The values for each age group were compared with the corresponding European and UK diagnostic reference levels (DRLs). For all age groups, CTDIvol DRL values for head, chest and abdomen–pelvis CT varied from 11.9 to 31.9, 0.88–2.8 mGy and 1.3–7.2 mGy, respectively. The DRL values (mGy.cm) ranged from 196.3 to 577.1, 25.6 to 111.8 and 106.8 to 347.0 for head, chest and abdomen–pelvis CT, respectively. The established CTDI LDRLs were comparable to the European DRLs for head CT examinations and to or lower than the European DRLs for body CT examinations. DLP LDRLs were higher than the European DRLs for head CT examinations and lower for body CT examinations. The results of this study are expected to aid dose optimization.

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引用次数: 0

Identification of depressing tweets using natural language processing and machine learning: Application of grey relational grades

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-20 DOI: 10.1016/j.jrras.2025.101299

Wusat Ullah , Patrícia Oliveira-Silva , Muhammad Nawaz , Rana Muhammad Zulqarnain , Imran Siddique , Mohammed Sallah

Depression is a global public health concern that affects millions of people worldwide. Social media platforms, where individuals connect and share personal data, have emerged as potential sources for mental health detection. This study explored the use of computational models to identify individuals with depression based on Twitter posts. We retrieved and cleaned 1.6 million tweets using Natural Language Processing (NLP) techniques for feature extraction. The Grey Relational Grade (GRG) technique was applied to investigate the association between likes and shares of Twitter posts. Furthermore, the significant values of GRG in both cases, when data is limited and when data is large, represent that GRG provides better results at large data sets. The equal distribution and selection approach (EDSA) can extract a small sample to describe the large data set and apply the GRG technique. Subsequently, we applied various machine learning models to classify user tweets into "stressed" or "not stressed" categories. These models achieved promising results, demonstrating high accuracy, precision, recall, and F1-score. Specifically, Logistic Regression, Support Vector Machine, XGBoost Classifier, and Random Forest Classifier yielded accuracies of 96, 95, 96, and 97%, respectively. These findings suggest the potential of social media data and computational models for mental health detection, thus opening avenues for further research and development.

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引用次数: 0

Radiation effects on thermo-bioconvection flow of trihybrid nanofluid through an inclined rotating disk with applications of the Cattaneo-Christov flux model

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-19 DOI: 10.1016/j.jrras.2025.101293

Ahmed M. Galal , Abdelkader Mabrouk , Saba Liaqat , Rzgar Farooq Rashid , Munawar Abbas , Dennis Ling Chuan Ching , Maawiya Ould Sidi , Abdullah A. Faqihi , Abid Ali Memon , Ilyas Khan

This research examines the significance of radiation on thermo-bioconvection flow of ternary hybrid nanofluid flowing over an inclined rotating disk with Oxytactic microbe. By considering more of the Cattaneo-Christov flux model, and slip flow, the current work has been improved. Rather of relying on the conventional Fourier and Fick laws, the Cattaneo-Christov double-diffusion model takes into account relaxation durations for both heat and concentration. It can improve the efficiency of energy systems by being used in sophisticated cooling systems for rotating machines. In applications like nanotechnology, biomedical engineering, and microfluidic devices, where heat and mass diffusion lag effects are crucial, the use of the Cattaneo-Christov flux model guarantees precise predictions. Furthermore, by studying trihybrid nanofluids in thermo-bioconvection flows, the model can help design effective energy harvesting systems, enhance medicine administration systems, and streamline environmental management and sustainable engineering procedures.

{COF e_{2} O}_{4},

T i O_{2}

and

{A l_{2} O}_{3}

nanoparticles are combined with water (

H_{2} O)

, which serves as the base fluid. Appropriately adapted governing equations have been numerically solved using the Bvp4c method. The tri-hybrid nanofluid's radial and tangential flow are slowed down by adjusting factors such as the applied magnetic field and velocity slip coefficient, according to a study of recent research. The radial and tangential velocities of the trihybrid and hybrid nanofluids are reduced by the Darcy-Forchheimer parameters. The oxytactic microbial field significantly decline as the Lewis number rises.

{"title":"Radiation effects on thermo-bioconvection flow of trihybrid nanofluid through an inclined rotating disk with applications of the Cattaneo-Christov flux model","authors":"Ahmed M. Galal , Abdelkader Mabrouk , Saba Liaqat , Rzgar Farooq Rashid , Munawar Abbas , Dennis Ling Chuan Ching , Maawiya Ould Sidi , Abdullah A. Faqihi , Abid Ali Memon , Ilyas Khan","doi":"10.1016/j.jrras.2025.101293","DOIUrl":"10.1016/j.jrras.2025.101293","url":null,"abstract":"<div><div>This research examines the significance of radiation on thermo-bioconvection flow of ternary hybrid nanofluid flowing over an inclined rotating disk with Oxytactic microbe. By considering more of the Cattaneo-Christov flux model, and slip flow, the current work has been improved. Rather of relying on the conventional Fourier and Fick laws, the Cattaneo-Christov double-diffusion model takes into account relaxation durations for both heat and concentration. It can improve the efficiency of energy systems by being used in sophisticated cooling systems for rotating machines. In applications like nanotechnology, biomedical engineering, and microfluidic devices, where heat and mass diffusion lag effects are crucial, the use of the Cattaneo-Christov flux model guarantees precise predictions. Furthermore, by studying trihybrid nanofluids in thermo-bioconvection flows, the model can help design effective energy harvesting systems, enhance medicine administration systems, and streamline environmental management and sustainable engineering procedures. <span><math><mrow><msub><mrow><mtext>COF</mtext><msub><mi>e</mi><mn>2</mn></msub><mi>O</mi></mrow><mn>4</mn></msub><mtext>,</mtext></mrow></math></span> <span><math><mrow><mi>T</mi><mi>i</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> and <span><math><mrow><msub><mrow><mi>A</mi><msub><mi>l</mi><mn>2</mn></msub><mi>O</mi></mrow><mn>3</mn></msub></mrow></math></span> nanoparticles are combined with water (<span><math><mrow><mrow><msub><mi>H</mi><mn>2</mn></msub><mi>O</mi></mrow><mo>)</mo></mrow></math></span>, which serves as the base fluid. Appropriately adapted governing equations have been numerically solved using the Bvp4c method. The tri-hybrid nanofluid's radial and tangential flow are slowed down by adjusting factors such as the applied magnetic field and velocity slip coefficient, according to a study of recent research. The radial and tangential velocities of the trihybrid and hybrid nanofluids are reduced by the Darcy-Forchheimer parameters. The oxytactic microbial field significantly decline as the Lewis number rises.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 1","pages":"Article 101293"},"PeriodicalIF":1.7,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104399","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}

引用次数: 0

Advancements in remote healthcare monitoring: A comprehensive system for improved health management

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-19 DOI: 10.1016/j.jrras.2025.101310

Ahmed Elhadad, Alanazi Rayan

The research focuses on improving the prediction of heart illness using ECG sensor data by applying sophisticated machine-learning algorithms. Preprocessing of ECG signals is important for extracting the cardiac waveform and improving the data quality. In this regard, baseline drift and low-frequency noise have been removed by applying a Gaussian filter. This preprocessing enables a better investigation of the components of the ECG, including the T-wave, QRS complex, and P-wave. In predicting cardiac disease, we use two variants of neural networks: Multilayer Perceptron and Gated Recurrent Units. The MLP is one variant of feedforward artificial neural networks that process pre-processed ECG data through a many-layered network. ReLU activation functions introduce non-linearity and map raw data into higher-dimensional representations that capture the essential properties. GRU is a variant of the RNN that reduces the problem of the vanishing gradient, which affects conventional RNNs. Therefore, it uses update and reset gates to better handle sequential data like ECG data. From our findings, GRU could perform better than MLP in most performance parameters, such as accuracy, precision, recall, F1 score, and AUC-ROC. The superior performance of GRU is attributed to the fact that it can decode complex temporal patterns related to heart disease and evaluate ECG sequences very effectively. Hence, the GRU-MLP model is more appropriate for this application since it gives higher accuracy and reliable predictions about heart disease. The suggested methodology attains the maximum level of accuracy at 99.5%. This work propels the field of medical diagnostics by showing the utility of complex neural network topologies in enhancing the predictive power and facilitating the early detection and treatment of heart disease.

{"title":"Advancements in remote healthcare monitoring: A comprehensive system for improved health management","authors":"Ahmed Elhadad, Alanazi Rayan","doi":"10.1016/j.jrras.2025.101310","DOIUrl":"10.1016/j.jrras.2025.101310","url":null,"abstract":"<div><div>The research focuses on improving the prediction of heart illness using ECG sensor data by applying sophisticated machine-learning algorithms. Preprocessing of ECG signals is important for extracting the cardiac waveform and improving the data quality. In this regard, baseline drift and low-frequency noise have been removed by applying a Gaussian filter. This preprocessing enables a better investigation of the components of the ECG, including the T-wave, QRS complex, and P-wave. In predicting cardiac disease, we use two variants of neural networks: Multilayer Perceptron and Gated Recurrent Units. The MLP is one variant of feedforward artificial neural networks that process pre-processed ECG data through a many-layered network. ReLU activation functions introduce non-linearity and map raw data into higher-dimensional representations that capture the essential properties. GRU is a variant of the RNN that reduces the problem of the vanishing gradient, which affects conventional RNNs. Therefore, it uses update and reset gates to better handle sequential data like ECG data. From our findings, GRU could perform better than MLP in most performance parameters, such as accuracy, precision, recall, F1 score, and AUC-ROC. The superior performance of GRU is attributed to the fact that it can decode complex temporal patterns related to heart disease and evaluate ECG sequences very effectively. Hence, the GRU-MLP model is more appropriate for this application since it gives higher accuracy and reliable predictions about heart disease. The suggested methodology attains the maximum level of accuracy at 99.5%. This work propels the field of medical diagnostics by showing the utility of complex neural network topologies in enhancing the predictive power and facilitating the early detection and treatment of heart disease.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 1","pages":"Article 101310"},"PeriodicalIF":1.7,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095647","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}

引用次数: 0

Bio-convection in tri-hybrid nanofluid flow with Arrhenius activation energy: Incorporating the Cattaneo-Christov heat flux model

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-17 DOI: 10.1016/j.jrras.2025.101296

Muhammad Jawad , Zhuojia Fu , Hamid Khan , Mehboob Ali , Waqar Azeem Khan , A. Abu-Jrai , Taseer Muhammad

The recent study is related to Cattaneo-Christov model of Electromagnetohydrodynamic (EMHD) tri-hybrid nanofluid flow in the occurrence of gyrotactic microorganisms, heat source/sink, Arrhenius activation energy, chemical reaction, natural convection, and thermal radiation on two dissimilar geometries i.e., wedge and cone. The tri-hybrid nanofluid flow with Electromagnetohydrodynamic (EMHD) has many uses in industrial and engineering fields. Most medicinal and organic uses require a study into the insight process in nanofluid consisting of microorganism suspension. The system of partial differential equations is changed into a set of ordinary differential equations by using similarity transformation. The semi-analytical technique HAM is used to attain the solution to the problem. The influence of substantial constraints on temperature, velocity, motile density microorganisms, and concentration, are displayed through graphs. Velocity of tri-hybrid nanofluid (THNF) is increased for rising in electric parameter. Results show that the velocity of THNF rises by approximately 8.5% with a rise in the electric parameter

E_{1}

= 0.1 → 0.4. The temperature profile rises by approximately 10% with a rise in the magnetic parameter

M

= 0.5 → 2.0 and by about 7% for an upsurge in the electric parameter

E_{1}

= 0.1 → 0.4. The concentration profile reduces by approximately 9% with a rise in the Arrhenius activation parameter

E_{2}

= 0.2 → 0.8. The motile microorganism density diminishes by nearly 11% for growing Peclet number

P_{e}

= 0.3 → 1.0 and by 8% with a greater bio-convection Lewis number

L_{b}

= 0.5 → 0.8. The numerical outcomes of local density number, Nusselt number, Sherwood number, and skin friction are shown in the tables. The addition of silver, copper and aluminum oxide increases the thermal physical behavior of the base fluid considerably.

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引用次数: 0

Analysis of tiny inflexible suspended particles and solar thermal radiation aspects during the wavy flows of magneto-Cross nanofluid

IF 1.7 4区综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES

Journal of Radiation Research and Applied Sciences

Pub Date : 2025-01-15 DOI: 10.1016/j.jrras.2025.101297

Saleem Javed, Latif Ahmad

The periodic wavy motion of the generalized materials in the presence of spinning tiny inflexible suspended particles has a wide range of practical applications, i.e., the typical motion of lubricants, paints, blood, anisotropic fluids polymeric, etc. These fluids are the main examples of micro-polar materials. However, this work is a constructive approach for maximizing the heat transfer rate during the periodic motion of Cross liquid in combination with micropolar fluid. Furthermore, the same practical problem is formulated with solar thermal radiation, Brownian motion, thermophoretic force, Lorentz force, and gravity force. All the leading factors are examined for their significant inclusion while observing the novel behavior of the materials. The mathematical equations are then modeled in terms of dimensionless ordinary differential equations (ODEs). In particular, the material's speed, temperature, resistive forces, concentrations as well as flow of heat and mass transfer rates are graphically visualized. Vertical velocity components are uplifted for higher variations in the vortex viscosity factor as well as an opposite trend is noticed in the behavior of horizontal components of velocity. The findings highlight that higher vortex viscosity increases the vertical velocity components while reducing horizontal velocity, indicating directional flow influences. Thermal radiation and Brownian motion both elevate the temperature of the material during motion. Additionally, a higher vortex viscosity enhances resistive forces in the wavy flow, while an increase in the Weissenberg number reduces these forces. Brownian motion reduces the heat transfer rate, whereas the nanoparticle volume fraction shows the opposite behavior. The accuracy and authenticity of the approximated results are validated by providing a good agreement with the previous works and with the results obtained in the Richardson extrapolation.

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引用次数: 0