Electromagnetic Biology and Medicine最新文献

{"title":"Review of the biological effects due to high-power microwaves exposure.","authors":"Anning Gao, Guofu Dong, Changzhen Wang","doi":"10.1080/15368378.2025.2547806","DOIUrl":"10.1080/15368378.2025.2547806","url":null,"abstract":"<p><p>High power microwaves (HPMs), characterized by frequencies spanning from 1 GHz to 300 GHz and peak power exceeding 100 MW, have numerous applications but also pose considerable health hazards. This review discusses the biological effects of HPMs on various human and animal cells, tissues, organs, and systems. Notably, HPMs can damage brain structures, particularly the hippocampus, causing oxidative stress and DNA damage, which in turn contribute to cognitive impairment. The immune system is subject to dual effects from HPMs, exhibiting both stimulatory and suppressive immune responses contingent on the specifics of exposure details. In the reproductive system, HPMs are observe to diminish male fertility by interfering with spermatogenesis and semen quality, although antioxidants may mitigate these effects. Furthermore, HPMs may exacerbate skin conditions, such as atopic dermatitis, and potentially accelerate the onset of skin cancer. With regard to cardiovascular health, these effects are usually transient, mainly affecting blood pressure and heart rate, but ultimately not impairing them. Furthermore, HPMs in agricultural production, sterilization and other beneficial effects have been found. This review provides valuable references for the investigation of the biological effects and the underlying mechanisms of HPM, as well as for the revision of related standards and guidelines.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"581-600"},"PeriodicalIF":1.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144977265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network.","authors":"Rajesh Kumar Thangavel, Antony Allwyn Sundarraj, Jayabrabu Ramakrishnan, Krishnasamy Balasubramanian","doi":"10.1080/15368378.2024.2401540","DOIUrl":"10.1080/15368378.2024.2401540","url":null,"abstract":"<p><p>Brain tumors can cause difficulties in normal brain function and are capable of developing in various regions of the brain. Malignant tumours can develop quickly, pass through neighboring tissues, and extend to further brain regions or the central nervous system. In contrast, healthy tumors typically develop slowly and do not invade surrounding tissues. Individuals frequently struggle with sensory abnormalities, motor deficiencies affecting coordination, and cognitive impairments affecting memory and focus. In this research, Utilizing Phase-aware Composite Deep Neural Network Optimized with Coati Optimized Algorithm for Brain Tumor Identification Based on Magnetic resonance imaging (PACDNN-COA-BTI-MRI) is proposed. First, input images are taken from the brain tumour Dataset. To execute this, the input image is pre-processed using Multivariate Fast Iterative Filtering (MFIF) and it reduces the occurrence of over-fitting from the collected dataset; then feature extraction using Self-Supervised Nonlinear Transform (SSNT) to extract essential features like model, shape, and intensity. Then, the proposed PACDNN-COA-BTI-MRI is implemented in Matlab and the performance metrics Recall, Accuracy, F1-Score, Precision Specificity and ROC are analysed. Performance of the PACDNN-COA-BTI-MRI approach attains 16.7%, 20.6% and 30.5% higher accuracy; 19.9%, 22.2% and 30.1% higher recall and 16.7%, 21.9% and 30.8% higher precision when analysed through existing techniques brain tumor identification using MRI-Based Deep Learning Approach for Efficient Classification of Brain Tumor (MRI-DLA-ECBT), MRI-Based Brain Tumor Detection using Convolutional Deep Learning Methods and Chosen Machine Learning Techniques (MRI-BTD-CDMLT) and MRI-Based Brain Tumor Image Detection using CNN-Based Deep Learning Method (MRI-BTID-CNN) methods, respectively.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"119-136"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143015699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peristaltic flow of electromagnetic tri-hybrid Carreau nanofluid using backpropagated Levenberg-Marquardt technique: an entropy generation analysis in blood cells.","authors":"Arshad Riaz, Muhammad Naeem Aslam, Mahreen Ali Awan, Muhammad Waheed Aslam, Sami Ullah Khan, Safia Akram, Emad E Mahmoud","doi":"10.1080/15368378.2025.2469699","DOIUrl":"10.1080/15368378.2025.2469699","url":null,"abstract":"<p><p>The present research concentrates on examining entropy generation during the flow phenomenon of a three-dimensional peristaltic motion of a magnetized tri-hybrid nanofluid within a curved rectangular duct using a machine learning technique called backpropagated Levenberg-Marquardt (BLMT). The Carreau constitutive model is used for base liquid (blood). To obtain the most accurate solutions for the governing equations, an analytical tool called the Homotopy Perturbation Method (HPM) is utilized along with a machine learning methodology ANN-BLMT method on MatLab. The data of HPM and machine learning are also compared to assess how the framework of partial differential equations (PDEs) occurring in the problem can be improved. It shows the highest correlations between output and prediction of ANN-BLMT method. The convergence analysis reveals that for two scenarios, velocity exhibits the best validation performance values around <math><mn>7.3117</mn><mo>×</mo><mrow><msup><mn>10</mn><mrow><mo>-</mo><mn>11</mn></mrow></msup></mrow></math> and <math><mn>1.0082</mn><mo>×</mo><mrow><msup><mn>10</mn><mrow><mo>-</mo><mn>10</mn></mrow></msup></mrow></math>. A detailed comparison between blood and nanofluid has been presented graphically to enhance the benefits of ternary hybrid nanoparticles in a simple base fluid. It is also found that the velocity of the blood can be slowed by the curvature increase and because of the increment of tri-hybrid nanoparticles in pure blood. It is also noted that the rate of heat transfer for ternary hybrid nanofluids is greater than that of a simple blood. Research findings have obvious implications for comprehending and enhancing peristaltic dynamics in biological processes such as the intestinal tract.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"193-211"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-based prediction of flow dynamics of blood blended with gold and maghemite nanoparticles in an electromagnetic microchannel under abruptly changes in pressure gradient.","authors":"Poly Karmakar, Sukanya Das, Sanatan Das","doi":"10.1080/15368378.2025.2501733","DOIUrl":"10.1080/15368378.2025.2501733","url":null,"abstract":"<p><p>In cardiovascular research, electromagnetic fields (EMFs) induced by Riga plates are applied to study and potentially manipulate blood flow dynamics, offering insights for therapies against arterial plaque deposition and for understanding varied blood flow behaviors. This research focuses on predicting the flow patterns of blood infused with gold and maghemite nanoparticles (gold-maghemite/blood) inside an EM microchannel under these electromagnetic influences and abruptly change in pressure gradient. The study models these flows by considering radiation heat emission and Darcy drag forces within porous media. Mathematical representation involves time-variant partial differential equations, resolved through Laplace transform (LT) to yield compact-form expressions for the model variables. The outcomes, including shear stress (SS) and rate of heat transfer (RHT) across the microchannel, are analyzed and displayed graphically, highlighting the effects of modified Hartmann number and electrode width on these parameters. Hybrid nano-blood (HNB) and nano-blood (NB) exhibit distinct thermal characteristics, with HNB transferring more heat within the blood flow. These study implements a cutting-edge AI-powered approach for high-fidelity evaluation of critical flow parameters, achieving unprecedented prediction accuracy. Validation results confirm the algorithm's excellence, with SS predictions reaching 99.552% (testing) and 97.019% (cross-validation) accuracy, while RHT predictions show 100% testing accuracy and 97.987% cross-validation reliability. This convergence of nanotechnology with advanced machine learning paves the way for transformative clinical applications that could redefine standards of care in surgical oncology, interventional cardiology, and therapeutic radiology. This model underpins potential applications such as controlled drug release and magnetic fluid hyperthermia, enhancing procedures like cardiopulmonary bypass, vascular surgery, and diagnostic imaging.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"294-324"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144038815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genotoxic and histopathological effects of 6 GHz radiofrequency electromagnetic radiation on rat liver tissue.","authors":"Nermin Seda Ilgaz, Yasin Karamazı, Mustafa Emre, Tuğba Toyran, Özdem Karaoğlan, Toygar Emre, Meltem Dönmez Kutlu, Hale Öksüz Üçkayabaşı, Çağatay Aydın, M Bertan Yılmaz","doi":"10.1080/15368378.2025.2534381","DOIUrl":"10.1080/15368378.2025.2534381","url":null,"abstract":"<p><p>In this study, the genotoxic and histopathological effects of 6 GHz (0.065 W/kg) Radiofrequency-Electromagnetic Radiation (RF-EMR) on rat liver tissue were investigated. Sham (control) and Radiofrequency Radiation (RFR) groups were formed with 10 adult male rats in each group. Rats in the sham group received no treatment. Rats in the RFR group were exposed to 6 GHz RF-EMR for 4 h/day for 42 days. Immediately after the completion of the exposure, the rats in both groups were sacrificed and liver tissues were removed. Comet Test was performed to determine the genotoxic effect in the samples. Masson Trichrome and Hematoxylin Eosin staining methods were applied histopathologically. According to the Comet Analysis results, the genetic damage index (GDI) and damaged cell percentage (DCP) of the RFR group were higher than the sham group, but this difference was not statistically significant (<i>p</i> > 0.05). In histopathologic examinations, portal inflammation, single cell necrosis, vascularity and congestion were more prominent in the RFR group compared to the sham group. In our study, it was shown that 6 GHz RF-EMR can cause histopathologic and DNA level changes in rat liver tissue. As a result of the literature review, no prior studies have specifically examined the genotoxic and histopathological effects of 6 GHz RF-EMR. This makes our study important as it addresses the biological impacts of the 6 GHz frequency band.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"472-483"},"PeriodicalIF":1.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144683504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vascular mechanoreceptor magnetic activation, hemodynamic evidence and potential clinical outcomes.","authors":"Juraj Gmitrov","doi":"10.1080/15368378.2025.2468248","DOIUrl":"10.1080/15368378.2025.2468248","url":null,"abstract":"<p><p>There is sufficient proof that static magnetic fields (SMFs) of different parameters have a significant effect on the cardiovascular system. The sometimes contradictory, opposite-directional nature of SMF's hemodynamic effect generates uncertainty; therefore, an explanation of the underlying mechanisms is required. Following SMF selective carotid baroreceptors or microvascular net exposure, both high and low blood pressure (BP)/vascular tone starting conditions showed a return to normal. Beyond the previous descriptions of SMF's simple hemodynamic results, the current study aims to clarify the physiology of the SMF BP/vascular tone normalizing effects. The examination of available literature and hemodynamic tracings provided strong evidence that mechanoreceptor magnetic activation is concealed behind SMF vascular tone adjustment (increasing or decreasing as needed), filling in the knowledge gap regarding SMF opposite directional vascular tone normalizing outcomes. It has been proposed that cytoskeletal actin filament rearrangement, mechanically-gated Ca²⁺ influx, and nitric oxide (NO) activity may strengthen SMF's vascular mechanoreceptor sensing/regulation ability, modifying BP and vascular tone features in a hemodynamic normalizing pattern. It is suggested that baro/mechanoreceptor magnetic activation physiology is a unique mechanism of the magneto-cardiovascular interaction with substantial potential for cardiovascular protection.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"228-249"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating PEMF vagus nerve stimulation through neck application: A randomized placebo study with volunteers.","authors":"I Jerman, M Škafar, J Pihir, M Senica","doi":"10.1080/15368378.2025.2462649","DOIUrl":"10.1080/15368378.2025.2462649","url":null,"abstract":"<p><p>This study investigates the effects of pulsed electromagnetic field (PEMF) therapy on vagus nerve stimulation through non-invasive neck applications. Exploring the efficacy of PEMF across different frequencies (6 hz, 16 hz, and 32 hz), this double-blind placebo-controlled trial included 485 volunteers to assess its impact on autonomic nervous system functions, particularly targeting sleep disturbances and anxiety. Results demonstrated significant improvements in sleep quality and reduction in anxiety levels, especially notable at 16 hz. These findings suggest that PEMF therapy, by modulating autonomic activity, offers a beneficial non-pharmacological treatment option for related disorders.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"173-186"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and performance evaluation of magnetic hyperthermia instrument with embedded PI control.","authors":"Mou Chatterjee, Sandip Pal","doi":"10.1080/15368378.2025.2524547","DOIUrl":"10.1080/15368378.2025.2524547","url":null,"abstract":"<p><p>Hyperthermia is a non-invasive localized heating technique that has proven to be an efficient cancer treatment method. Hyperthermia therapy needs precise temperature control to ensure delivery of the proper thermal dose, causing minimum damage to the neighboring healthy tissues. This work reports the indigenous development of a custom-designed hyperthermia instrument. An advanced RISC machine (ARM)-based embedded closed-loop proportional-integral (PI) controller is developed for controlling the temperature. As per the applied methodology, the DC bias of a Mazzilli oscillator-based half-bridge inverter is controlled through the controller. The PI controller reads the hyperthermia system temperature using an infrared (IR) radiation thermometer and generates an analog output accordingly. This, in turn, changes the amplitude of the alternating magnetic field (AMF), thus controlling the temperature of the magnetic nanoparticles (MNPs). Its potential has been explored for <i>in vitro</i> hyperthermia studies. <i>In vitro</i> experiments have been carried out successfully with the custom-designed heater and controller assembly utilizing commercial non-invasive temperature measurement with a standard deviation of about 0.3°C and overshoot within the hyperthermia temperature range (3°C). The developed system has also obtained a satisfactory value of specific absorption rate (SAR). This paper infers the feasibility of the indigenously developed circuit and the related controller for hyperthermia therapy and preclinical studies. This system can be used for clinical applications with suitable customizations.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"434-448"},"PeriodicalIF":1.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144530897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized node-level capsule graph neural network for subject-independent emotion recognition from EEG signals.","authors":"G Kiruthiga, Ashwinth Janarthanan, P D Mahendhiran","doi":"10.1080/15368378.2025.2541792","DOIUrl":"10.1080/15368378.2025.2541792","url":null,"abstract":"<p><p>Subject-independent emotion detection using EEG (Electroencephalography) using Vibrational Mode Decomposition and deep learning is made possible by the scarcity of labelled EEG datasets encompassing a variety of emotions. Labelled EEG data collection over a wide range of emotional states from a broad and varied population is challenging and resource-intensive. As a result, models trained on small or biased datasets may fail to generalize well to unknown individuals or emotional states, resulting in lower accuracy and robustness in real-world applications. A Node-Level Capsule Graph Neural Network (NCGNN) is then used to correctly recognize emotions like calm, happy, sad, and furious based on the features that have been collected. Generally speaking, the NCGNN classifier does not provide optimization techniques for adjusting parameters to ensure precise emotion recognition. Hence, propose to utilize the Piranha Foraging Optimization Algorithm (PFOA) to enhance Node-Level Capsule Graph Neural Network, accurately categorize the emotion level. Then, the proposed NLCGNN-SIER-EEG is excluded in Python and the performance metrics like Recall, Accuracy, Precision, Specificity, F1 score and RoC. In the end, the performance of NLCGNN-SIER-EEG technique provides 19.57%, 24.37% and 34.15% high accuracy, 22.12%, 26.82% and 28.52% higher Precision and 23.26%, 28.17% and 29.43% higher recall while compared with existing like Subject-independent emotion recognition based on EEG data using VMD and deep learning (SIER-EEG-VMD-DL), Emotion recognition system based on two-level ensemble of deep-convolutional neural network models (ERS-TLE-DCNN), and human emotion recognition based on EEG data using principal component analysis and artificial neural networks (EEH-HER-ANN), respectively.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"504-519"},"PeriodicalIF":1.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145016588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neuro-computational simulation of blood flow loaded with gold and maghemite nanoparticles inside an electromagnetic microchannel under rapid and unexpected change in pressure gradient.","authors":"Poly Karmakar, Sukanya Das, Sayan Das, Sanatan Das","doi":"10.1080/15368378.2025.2453923","DOIUrl":"10.1080/15368378.2025.2453923","url":null,"abstract":"<p><p>In cardiovascular research, electromagnetic fields generated by Riga plates are utilized to study or manipulate blood flow dynamics, which is particularly crucial in developing treatments for conditions such as arterial plaque deposition and understanding blood behavior under varied flow conditions. This research predicts the flow patterns of blood enhanced with gold and maghemite nanoparticles (gold-maghemite/blood) in an electromagnetic microchannel influenced by Riga plates with a temperature gradient that decays exponentially, under sudden changes in pressure gradient. The flow modeling includes key physical influences like radiation heat emission and Darcy drag forces in porous media, with the flow mathematically represented through unsteady partial differential equations solved using the Laplace transform (LT) method. Results, including shear stress (SS) and rate of heat transfer (RHT), are graphically detailed, demonstrating changes in blood velocity profile with modifications in the Hartmann number and the width of electrodes, and differences in temperature and RHT between hybrid nano-blood (HNB) and nano-blood (NB). The key results indicate an increase in blood velocity distribution with higher modified Hartmann number, and a decrease with wider electrodes. Temperature is elevated in both hybrid nano-blood (HNB) and nano-blood (NB). Notably, HNB with gold and maghemite enhances heat transmission in the flow. Furthermore, an artificial intelligence-driven methodology employing an artificial neural network (ANN) has been incorporated to facilitate rapid and precise evaluations of SS and RHT, demonstrating remarkable predictive accuracy. The proposed algorithm exhibits outstanding accuracy, achieving 99.998% on the testing dataset and 96.843% during cross-validation for predicting SS, and 100% on the testing dataset, and 95.008% during cross-validation for predicting RHT. The implementation of nanotechnology with artificial intelligence promises new tools for doctors and surgeons, potentially transforming patient care in fields such as oncology, cardiology, and radiology. This model also facilitates the generation of precise electromagnetic fields to guide drug-loaded magnetic nanoparticles for applications in targeted drug delivery, hyperthermia treatment, MRI contrast enhancement, blood flow monitoring, cancer treatment, and controlled drug release.</p>","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":" ","pages":"137-172"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143061303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}