Journal of Radiation Research and Applied Sciences最新文献

{"title":"Chemically reactive flow of Williamson nanofluid with nonlinear thermal radiation over an exponentially stretching/shrinking surface","authors":"M.S. Abbas ,&nbsp;M. Qamar ,&nbsp;M. Khan ,&nbsp;S.M. Hussain","doi":"10.1016/j.jrras.2025.101630","DOIUrl":"10.1016/j.jrras.2025.101630","url":null,"abstract":"<div><div>This study explore the numerical investigation of Darcy-Forchheimer model with Williamson nanofluid via an exponentially penetrable shrinking surface under the influence of both first and second-degree coefficient for velocity, chemical species, thermal radiation, and variable thermal conductivity. Classical transformations are used to form nonlinear PDEs into a new form of nonlinear ODEs and the resultant system is then resolved through the utilization of the bvp4c function built into MATLAB software. The concurrent impacts of the physical factors on flow, thermal distribution, mass curve, and engineering quantities were examined graphically, tabularly and histrogram analysis. The most notable findings of the current article are the existence of dual solutions for Williamson nanofluids. The outcomes show that Williamson nanofluid factors have positive impacts on the shear stress profile for both solution branches. The variations in Eckert number, radiation and variable thermal factors do not affect the critical point, which remains constant at <span><math><mrow><msub><mi>χ</mi><mrow><mi>c</mi><mi>i</mi></mrow></msub><mrow><mo>(</mo><mrow><mo>=</mo><mo>−</mo><mn>0.6081</mn></mrow><mo>)</mo></mrow><mtext>.</mtext></mrow></math></span> Moreover, a delay in the boundary layer separation can be observed for the first-order velocity slip factor, which reduces the shear stress. In contrast, boundary layer separation accelerates by the second-order velocity slip factor and improves skin friction. These discoveries over a shrinking surface consisting of multiple solution flow dynamics have shown to be useful insight in real-world scenarios.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101630"},"PeriodicalIF":1.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090215","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":"Assessment of radon concentrations and associated health risks via surface and groundwater consumption in the Utmah, Yemen","authors":"Murad Al Mugahed ,&nbsp;Saqr Algahmi ,&nbsp;F. Yehya ,&nbsp;Adnan Alnehia","doi":"10.1016/j.jrras.2025.101639","DOIUrl":"10.1016/j.jrras.2025.101639","url":null,"abstract":"<div><div>Radon, a naturally occurring radioactive gas, poses health risks through water consumption. In seismically active regions like Utmah, Yemen, geological factors may elevate radon levels in water, requiring monitoring. This study analyzed radon concentrations in groundwater and surface water used for drinking, domestic purposes, and irrigation in Utmah Nature Reserve, Dhamar Governorate, Yemen. Thirty-four water samples were collected: 14 surface water samples (depth &lt;15 m) and 20 groundwater samples (depth 110–320 m) from Al-Azraa and Tahayjer. Radon and radium were measured using CR-39 nuclear track detectors. Results showed surface water radon levels ranged from 0.09 ± 0.03 to 0.25 ± 0.03 Bq/L (average 0.17 ± 0.04 Bq/L), while groundwater levels were higher: 0.20 ± 0.03 to 0.52 ± 0.09 Bq/L (average 0.34 ± 0.06 Bq/L), well below the international safety standard of 11.1 Bq/L set by the U.S. Environmental Protection Agency (EPA). Annual radiation exposure from surface water (inhalation/ingestion) ranged from 0.23 ± 0.08 to 0.64 ± 0.08 μSv/year (average 0.43 μSv/year). Groundwater exposure was higher: 0.50 ± 0.08 to 1.33 ± 0.23 μSv/year (average 0.86–0.87 μSv/year), still below the World Health Organization (WHO) limit (100 μSv/year). The analysis revealed that depth plays a role in radon distribution, with variations observed between surface and groundwater samples. This is likely influenced by geological characteristics or seismic activity in the area. The findings suggest that water sources in the studied locations do not pose significant radiological health risks due to radon exposure. This research highlights the urgent need for ongoing radon monitoring, especially in seismically active regions. The study provides valuable insights into the potential health impacts of radon in drinking water, contributing to improved international health and safety practices.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101639"},"PeriodicalIF":1.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098938","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":"OVGGNet: Optimized deep learning for lesion segmentation of medical images using color features","authors":"Ali Jaber Almalki","doi":"10.1016/j.jrras.2025.101592","DOIUrl":"10.1016/j.jrras.2025.101592","url":null,"abstract":"<div><div>Medical image segmentation is a challenging task in image processing, automatic segmentation needs expert suggestions and clinical practices such as treatment planning, disease diagnosis and disease progression. The primary problems in inaccurate lesion segmentation are variation of lesion conditions, lesion irregularity and presence of similarity between lesion regions. To avoid these problems, the Optimized Deep Learning model named as OVGGNet is proposed for the accurate lesion segmentation of medical images. Different data sources are used to collect different kinds of medical images that are preprocessed to enhance contrast of the medical images. The contrast enhanced images are predicted from this preprocessed stage, and then the Dilated dense VGG19 (DDVGG19) model is employed to extract global and local features from the enhanced images. In the feature extraction stage, the Shi Tomasi Corner detector is applied for shape identification and the linear dimensionality reduction approach is applied for undesired information removal. The Optimized Color Feature (OCF) operation is included at the final lesion segmentation tasks to carry out the different kinds of segmented output. Finally, the mapped images are predicted by fusing original and segmented images and its visual representations are provided in the experimental validation. The numerical and graphical validations are conducted to find the optimal performances during lesion segmentation of medical images. The significant performance measures such as segmentation accuracy and Dice Similarity Coefficient index (DSC) achieved performances of 98.81 % and 96.4 % respectively. The comparative analysis provided that the proposed model attained a better performance rather than existing approaches.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101592"},"PeriodicalIF":1.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090214","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":"Ultrasonography of IgG4 related diseases involving multiple systems: a five-year follow-up case report","authors":"Min Wang ,&nbsp;Deli Meng ,&nbsp;Lingling Xing ,&nbsp;Fei Xu ,&nbsp;Fengfeng Ding ,&nbsp;Yanglieguang Lou","doi":"10.1016/j.jrras.2025.101629","DOIUrl":"10.1016/j.jrras.2025.101629","url":null,"abstract":"<div><div>IgG4-related disease (IgG4-RD), a chronic fibrosing systemic disease, is usually misdiagnosed as a tumor due to its mass-like lesions. This case reports a patient diagnosed with IgG4-RD in 2019, characterized by elevated serum IgG4, impaired liver/kidney function, decreased complement, interstitial lung changes, bile duct narrowing, enlarged kidneys, and swollen submandibular/thyroid glands. The patient initially achieved remission with glucocorticoid therapy, but after 5 years, in 2024, the patient's condition worsened, and PET/CT showed a pancreatic mass and enlarged lymph nodes. Ultrasound-guided biopsy confirmed the patient had IgG4-related autoimmune pancreatitis, not cancer. This case illustrates the critical role of ultrasound imaging in disease detection and treatment monitoring of IgG4-RD during long-term follow-up.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101629"},"PeriodicalIF":1.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099004","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":"Khellin a promising natural compound for alleviation of diabetic nephropathy: Evidence from in-silico, in-vitro and in-vivo studies","authors":"Abdelnaser A. Badawy ,&nbsp;Heba I. Ghamry ,&nbsp;Naglaa Mokhtar ,&nbsp;Ahmed H. Sulaiman ,&nbsp;Elryah I. Ali ,&nbsp;Hasnaa Ali Ebrahim ,&nbsp;Mamdouh Eldesoqui ,&nbsp;Mohammed A. El-Magd","doi":"10.1016/j.jrras.2025.101590","DOIUrl":"10.1016/j.jrras.2025.101590","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to evaluate the potential impacts of Khellin (Khe) therapeutic potential in streptozotocin (STZ)-induced diabetic nephropathy (DN) using integrated in silico, in vitro, and in vivo approaches.</div></div><div><h3>Methods</h3><div>In silico studies were conducted to assess whether Khe could target DN-associated proteins. In vitro, the MTT assay assessed Khe's impact on normal kidney HK-2 cells. In vivo, male Sprague Dawley rats (n = 30) were randomly divided into six groups: normal control (Cnt), low (Khe-L, 50 mg/kg), and high (Khe-H, 100 mg/kg) dose Khe, DN, DN + Khe-L, and DN + Khe-H. Renal function markers, oxidative stress parameters, inflammatory cytokines, and apoptotic genes were evaluated. Histopathological examination of kidney tissues was also performed.</div></div><div><h3>Results</h3><div>Khe showed variable binding affinities and interaction patterns in a molecular docking study against seven proteins (TNFα, TGFβ1, ETS1, TIMP2, MAPK14, PI3K, and KIM1) involved in DN pathogenesis. In vitro, Khe improved the survival of high glucose (HG) treated HK-2 cells and inhibited the activation of MAPK14, PI3K, caspase 3, and TNFα induced by HG. Khe-treated rats (DN + Khe-L, and DN + Khe-H) exhibited significantly 1) decreased serum levels of creatinine, urea, and retinol-binding protein (RBP), 2) declined urinary proteins levels, 3) reduced renal levels of MDA, 4) increased activities of the antioxidant enzymes (SOD, CAT, GPx), 5) downregulated renal expression of <em>TNFα, TGFβ1, ETS1, TIMP2, KIM1, MAPK14, PI3K,</em> and <em>Bax</em>, and 6) upregulated expression of <em>Bcl2</em> compared to the DN group. These biochemical and molecular results were corroborated by histopathological examination, which showed that the groups treated with Khe had much better kidney tissue integrity. The effectiveness of the treatment depended on the dosage.</div></div><div><h3>Conclusion</h3><div>Khe exhibited therapeutic effects in DN, potentially mediated by its antioxidant, anti-apoptotic, and anti-inflammatory mechanisms. These findings underscore Khe's promise as an adjunctive therapy for DN.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101590"},"PeriodicalIF":1.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084662","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":"Thermo-solutal convective flow of nanofluid with Marangoni convection: An artificial neural network study considering thermophoresis and thermal radiation effects","authors":"Mouloud Aoudia ,&nbsp;Munawar Abbas ,&nbsp;Ibtehal Alazman ,&nbsp;Ilyas Khan","doi":"10.1016/j.jrras.2025.101612","DOIUrl":"10.1016/j.jrras.2025.101612","url":null,"abstract":"<div><div>A neural network backpropagation approach combined with the AI-integrated Levenberg-Marquardt algorithm provides a comprehensive analysis of the thermal radiation on thermos-solutal Marangoni convective flow of nanofluid with thermophoresis influenced by Lorentz force effects. In order to explain mass and heat transmission and fluid flow, non-linear, coupled PDE (partial differential equations) are transformed into ODE (ordinary differential equations) with similarity scaling. The Bvp4c method is then used to resolve these equations numerically. The suggested model has important uses in many industrial and technical processes where mass transfer and heat are important factors. It is used in sophisticated material processing, cooling systems, and microfluidic devices where accurate thermal control is crucial. The research holds special significance for cooling mechanisms based on nanotechnology, including nuclear reactor safety and semiconductor chip cooling. Furthermore, the model's incorporation of Marangoni convection, thermophoresis, and thermal radiation effects renders it applicable to solar energy harvesting, biomedical engineering, and aerospace technology, all of which depend on effective heat dissipation and fluid stability. The concentration profile decreases as increase the thermophoretic parameter rise.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101612"},"PeriodicalIF":1.7,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070671","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 role of cell junctions in radiation-induced injury to normal tissue","authors":"Lin Ma ,&nbsp;Ge Xu ,&nbsp;Xiaoran Shi ,&nbsp;Jiahui Wu ,&nbsp;Yanhe Li ,&nbsp;Xiu Zhao ,&nbsp;Qi Liu","doi":"10.1016/j.jrras.2025.101616","DOIUrl":"10.1016/j.jrras.2025.101616","url":null,"abstract":"<div><div>Normal tissue faces the risk of ionizing radiation (IR) exposure during radiological examination or radiotherapy, and growing evidence indicates an elevated risk of radiation-induced normal tissue dysfunction via disrupted cell junctions. However, the mechanisms underlying this type of damage are not well understood. IR may induce tissue inflammation, but there is a paucity of evidence to support this theory. In this review, we summarize the literature to illustrate the role of cell junctions in radiation-induced normal tissue injury. Targeting cell junction proteins after IR may lead to new methods of normal tissue protection during radiotherapy or radiological examination.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101616"},"PeriodicalIF":1.7,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072671","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":"Advances in bioconvection of Casson nanofluids over a stretching sheet: Influence of thermal radiation and activation energy","authors":"Farkhanda Afzal ,&nbsp;Tahir Kamran ,&nbsp;Muhammad Bilal Riaz","doi":"10.1016/j.jrras.2025.101598","DOIUrl":"10.1016/j.jrras.2025.101598","url":null,"abstract":"<div><h3>Background</h3><div>Nanofluids possess enhanced thermal properties, making them highly effective in improving heat transfer performance within thermal systems. Owing to their distinctive thermophysical characteristics, nanofluids have attracted considerable interest across various engineering applications.</div></div><div><h3>Purpose</h3><div>This study investigates the magnetohydrodynamic (MHD) flow of Casson nanofluids over a stretching sheet, accounting for the effects of thermal radiation, activation energy, bioconvection, and motile microorganisms. The roles of Brownian motion and thermophoresis in heat and mass transfer are also analyzed.</div></div><div><h3>Method</h3><div><em>ology</em>: The governing nonlinear partial differential equations (PDEs) are reduced to a system of nonlinear ordinary differential equations (ODEs) through similarity transformations. These equations, along with the corresponding boundary conditions, are numerically solved using the bvp4c solver in MATLAB.</div></div><div><h3>Results</h3><div>The analysis demonstrates that an increase in the Brownian motion parameter promotes thermal energy diffusion, whereas a higher Lewis number inhibits mass transfer. The Casson fluid parameter reduces the velocity boundary layer thickness, resulting in a 12.4 % rise in shear stress. Additionally, a higher Prandtl number leads to a 21.7 % decrease in thermal boundary layer thickness, thereby enhancing heat dissipation. The thermophoretic parameter exerts a pronounced effect on nanoparticle concentration, yielding a 15.3 % increase in concentration gradients. These results offer valuable insights into optimizing heat and mass transfer in nanofluid-based thermal systems.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101598"},"PeriodicalIF":1.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069641","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":"Effect of ultrasound-guided needle knife combined with platelet-rich plasma infusion on lumbar muscle strain and prognostic evaluation","authors":"Binbin Zhao ,&nbsp;Hongli Jia ,&nbsp;Subing Zhang ,&nbsp;Yuzi Yang ,&nbsp;Bing Li ,&nbsp;Pei Shi ,&nbsp;Gongxi Fang","doi":"10.1016/j.jrras.2025.101562","DOIUrl":"10.1016/j.jrras.2025.101562","url":null,"abstract":"<div><div>The study evaluated the effectiveness of ultrasound-guided needle knife (UGNK) combined with platelet-rich plasma (PRP) infusion in treating chronic lumbar muscle strain (CLMS). Ninety-two patients with CLMS treated from January 2023 to January 2024 were randomly divided into a control group (CG, n = 46, simple local injection) and an observation group (OG, n = 46, UGNK with PRP infusion). The study compared treatment outcomes, lumbar range of motion, ultrasound findings, pain levels, lumbar function, serum inflammatory factors, and quality of life (QOL) before and after treatment. The effective rate in the OG (97.83 %) was significantly higher than in the CG (78.26 %, P &lt; 0.05). After treatment, the OG showed a reduced lumbar range of motion, smaller hypoechoic areas, and lower pain scores (Present Pain Intensity [PPI], Visual Analog Scale [VAS], and Pain Rating Index [PRI]) compared to the CG (P &lt; 0.05). The OG also had higher Japanese Orthopaedic Association (JOA) scores and lower Oswestry Disability Index (ODI) scores, indicating improved lumbar function (P &lt; 0.05). Serum levels of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and C-reactive protein (CRP) were lower in the OG, demonstrating reduced inflammation (P &lt; 0.05). Additionally, QOL scores in the physiology, social relations, psychology, and environment domains were higher in the OG (P &lt; 0.05). In conclusion, UGNK combined with PRP infusion effectively improves clinical symptoms, lumbar function, pain relief, inflammation reduction, and QOL in CLMS patients, suggesting a promising therapeutic approach.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101562"},"PeriodicalIF":1.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069640","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":"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}