Jove-Journal of Visualized Experiments最新文献

{"title":"Using Solution NMR to Characterize Biomolecular Condensates Under Biphasic Conditions.","authors":"Mihajlo Novakovic, Johannes Schmoll, Leonidas Emmanouilidis, Frédéric H T Allain","doi":"10.3791/70530","DOIUrl":"https://doi.org/10.3791/70530","url":null,"abstract":"<p><p>Biomolecular condensates formed through liquid-liquid phase separation (LLPS) organize the intracellular environment and regulate diverse biochemical processes. Despite their importance, probing condensate composition, exchange dynamics, and internal organization remains challenging, particularly without external tags. Nuclear magnetic resonance (NMR) spectroscopy can provide a unique label-free window into these mesoscale assemblies, capturing both molecular motion and environmental heterogeneity. Two complementary NMR methodologies enable a comprehensive characterization of condensates directly within their biphasic state. For condensates which are dynamic enough to be observable by NMR, the diffusion-exchange approach, REstricted DIffusion of INvisible speciEs abbreviated as REDIFINE, utilizes the diffusion contrast with chemical exchange to quantify the fraction of molecules partitioned between condensed and dilute phases, determine droplet size and interface permeability, and extract molecular exchange rates across the phase boundary. For more rigid condensates that are NMR invisible, the water-detected semi-solid magnetization-transfer method, CONdensate DEtectioN by SEmi-solid Magnetization Transfer, or in short CONDENSE-MT, exploits the relaxation contrast and proton exchange between condensed biomolecules and dilute phase solvent to monitor condensates onto the bulk water protons, providing access to relative partitioning, molecular tumbling rates, hydration dynamics, and bound-water content. Together, these approaches deliver a multidimensional, quantitative view of condensate structure and dynamics under near-native biphasic conditions without fluorescent or detection tags. Their integration expands the NMR toolbox for studying biomolecular phase separation and establishes a foundation for connecting condensate physicochemical properties with their biological function and pathological misregulation.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844591","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":"Chromatin Accessibility Profiling in Whole Caenorhabditis elegans L4 Larvae.","authors":"Jaqueline Hersch-González, Nallely Cano Domínguez, Victor Julian Valdes","doi":"10.3791/69791","DOIUrl":"https://doi.org/10.3791/69791","url":null,"abstract":"<p><p>Chromatin accessibility plays essential roles in transcription, DNA repair, and chromosome segregation. Hyper-accessible regions usually correlate with active promoters and enhancers, facilitating transcription factor binding and regulatory activity. The assay for transposase-accessible chromatin using sequencing (ATAC-seq) enables genome-wide profiling of chromatin accessibility with very few cells. However, its implementation in Caenorhabditis elegans is limited by the nematode's rich collagen cuticle that complicates cell dissociation. Here, we present an optimized protocol for performing ATAC-seq in whole worms at the L4 stage. The procedure begins with synchronized cultures and involves cuticle disruption, enzymatic dissociation, and cell-suspension preparation. Permeabilized nuclei are then subjected to Tn5 transposition, followed by polymerase chain reaction (PCR) amplification and purification of next-generation sequencing (NGS)-ready libraries. This protocol requires 30 µL of worm pellet, can be completed in one day, and generates 5,000-9,000 accessibility peaks in the Bristol N2 reference strain. This streamlined workflow can be adapted to other developmental stages or FACS-purified cell populations. By reducing technical barriers to ATAC-seq in C. elegans, this method expands opportunities to study genome-wide chromatin accessibility in response to genetic and environmental perturbations in a whole-organism context.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844789","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":"Combined Weighted Feature Correlation Approach for Enhanced EEG-Based Emotion Recognition Across Diverse Datasets.","authors":"Sonu Kumar Jha, Somaraju Suvvari, Mukesh Kumar, Deepak Kumar Singh, Sheelesh Kumar Sharma","doi":"10.3791/69073","DOIUrl":"https://doi.org/10.3791/69073","url":null,"abstract":"<p><p>Emotion recognition using EEG Signals is an active area of research in affective computing and neuroscience, aiding scientists into their quest to understand the brain processes involved in emotions. In contrast to the existing works which focused on linear EEG features, the present work concentrates on non-linear features in order to better characterize the finer changes of emotional responding. Inspired by this, in current paper, proposed method is called Combined Weighted Feature Correlation (CWFC) to investigate the effect of non-linear components on the performance of emotion detection. As a first step, the EEG data is collected and pre-processed using bandpass filters to separate the frequency bands such as beta, alpha, gamma, delta, and theta. To detect intricate emotional patterns, features extraction is performed by Independent Component Analysis (ICA), DWT (Discrete Wavelet Transform) and FFT (Fast Fourier Transform). These features can be built as combined features into the CWFCC model to improve its power as well as its overall predictive accuracy. Then apply a Random Forest classifier to see how significant are these combined features. Proposed work integrates GAN data augmentation after optimal feature selection (with an emphasis on LSTM). On the DEAP dataset, this augmentation results in astonishing 88% valence accuracy and 86% arousal accuracy, which improves the recognition accuracy of emotion remarkably. Proposed model achieved valence and arousal accuracy of 62% and 65%, respectively, on the early DEAP without GAN data augmentation. Moreover, this model can distinguish between SEED dataset during Neutral emotional states, Negative, and Positive with an average accuracy of 89%. The proposed paper proclaims the superior performance of CWFC model with GAN based data augmentation on EEG for emotion recognition over different datasets through in-depth analysis and comparative study.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844845","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":"An Optimized Protocol for Candida albicans Infection in Schmidtea mediterranea to Study Fungal Pathogenesis and Host Defense.","authors":"Nora M Shamoon, Beryl N Arinda, Simriya Sandhu, Deepika Gunasekaran, Néstor J Oviedo, Clarissa J Nobile","doi":"10.3791/70500","DOIUrl":"https://doi.org/10.3791/70500","url":null,"abstract":"<p><p>Candida albicans is a common opportunistic fungal pathogen that asymptomatically colonizes most humans. Although typically a benign commensal, dysbiosis caused by antibiotic use, immune dysfunction, or epithelial barrier disruption can trigger fungal overgrowth and infection, ranging from superficial mucosal disease to life-threatening systemic candidiasis. New preclinical infection models are needed to dissect C. albicans pathogenesis in vivo across distinct infection stages and with different measurable host outcomes. The planarian Schmidtea mediterranea was previously established as an invertebrate host for studying host-pathogen interactions during C. albicans infection. S. mediterranea relies entirely on conserved innate immune mechanisms capable of overcoming infection with pathogenic microorganisms, including bacteria and fungi. Planarians' remarkable regenerative capacity and accessible stem cell populations make this organism a tractable model to analyze early immune responses, tissue repair, and pathogen clearance in vivo. This model supports simultaneous analysis of fungal virulence and host transcriptional responses, providing valuable insights into infection dynamics. Here, an updated protocol with detailed modifications, standardized procedures, and optimized steps for infecting S. mediterranea with C. albicans has been presented, designed to enhance reproducibility and enable systematic studies of fungal pathogenesis and host defense.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844754","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":"Laser Capture Microdissection of Paraformaldehyde-Fixed Mouse Liver Tissue for RNA Analysis.","authors":"Wei-Lan Zeng, Ming-Ming Zhang, Wei-Jie Zeng, Yan Wang","doi":"10.3791/69814","DOIUrl":"https://doi.org/10.3791/69814","url":null,"abstract":"<p><p>Laser capture microdissection (LCM) provides spatial access to specific cell populations within complex tissues through in situ visualization and isolation. To enable transcriptomic analysis of histologically defined regions in fixed tissue, a detailed LCM protocol is presented for RNA extraction from paraformaldehyde (PFA)-fixed, Optimal Cutting Temperature (OCT) compound-embedded mouse liver sections. The protocol details the identification and collection of microscale samples (approximately 1,000 cells) through a workflow encompassing tissue fixation, sucrose dehydration, OCT embedding, cryosectioning, hematoxylin staining, and laser-capture of targeted histological areas. Using this method, a high-purity RNA (A260/A280: 1.9-2.1) was obtained. The RNA integrity number (RIN) was 6.7 ± 0.9, reflecting the expected fragmentation associated with PFA fixation. However, quantitative PCR for β-actin yielded Ct values of 17-19, and RNA sequencing performed using fragmentation-optimized library preparation generated high-quality reads, with >90% of bases meeting Q20 and Q30 thresholds, confirming that the RNA is suitable for sensitive downstream analyses. Therefore, this protocol enables spatially resolved, targeted gene expression analysis by providing RNA of defined purity and integrity from specific histological regions of PFA-fixed liver tissue.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844899","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":"Systematic Meta-Analysis of Impact of Glaucoma, Keratoconus, and Clinical Factors on High-Risk Corneal Transplantation Outcomes.","authors":"Li Li, Fei Luo, Wenying Wang","doi":"10.3791/70177","DOIUrl":"https://doi.org/10.3791/70177","url":null,"abstract":"<p><p>High-risk corneal transplantation in patients with glaucoma, keratoconus, or prior graft failures is frequently associated with suboptimal outcomes. Although individual determinants such as age, gender, diabetes, and intraocular pressure (IOP) are recognized risk factors, their collective impact on graft survival has not been systematically quantified. This meta-analysis aims to clarify the role of glaucoma, keratoconus, and key clinical factors in shaping the prognosis of high-risk corneal transplantation. A systematic search of PubMed, Cochrane, Embase, and Web of Science databases was conducted to identify studies on high-risk corneal transplantation involving glaucoma and keratoconus. Data from 11 observational studies (10,558 cases) were analyzed. Across the included studies, transplant success was generally defined as graft survival with preserved corneal clarity. Subgroup analyses were performed to evaluate the impact of demographic and clinical determinants on transplant success. Glaucoma was found to significantly impact transplant success, with an odds ratio (OR) of 1.43 (95% CI [1.26, 1.63], p < 0.001), while keratoconus also represented a risk factor (OR = 1.22, 95% CI [1.13, 1.31], p < 0.001). Subgroup analysis for glaucoma patients indicated that younger age (<60 years), female gender, absence of diabetes, and preoperative IOP ≤25 mmHg were favorable factors for transplant success. In keratoconus patients, those under 30 years old and female had better transplant outcomes. Sensitivity analysis confirmed the robustness of these results, and minimal publication bias was observed. This study demonstrates that advanced age, male gender, diabetes, and elevated preoperative IOP significantly compromise the success of high-risk corneal transplantation. These findings provide robust evidence to guide patient selection, preoperative optimization, and surgical decision-making in high-risk populations. Incorporating these determinants into clinical practice may enhance graft survival and visual outcomes, while informing the development of tailored management strategies and future clinical guidelines.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147845042","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":"Assessing the Metabolic Activity of Whole Regenerating Zebrafish Ventricles Ex Vivo Using an Extracellular Flux Assay.","authors":"Konstantinos Lekkos, Rita Alonaizan, John Walsby-Tickle, James S O McCullagh, Lisa C Heather, Mathilda T M Mommersteeg","doi":"10.3791/70459","DOIUrl":"https://doi.org/10.3791/70459","url":null,"abstract":"<p><p>The ability of zebrafish to regenerate their hearts throughout adulthood is partially attributed to metabolic adaptations. Although it has been hypothesized that the fish heart relies significantly on glycolysis, recent studies have uncovered a more complex metabolic profile in which oxidative metabolism arises as an essential component of cardiomyocyte redifferentiation and successful late-stage heart regeneration. In 2025, we adapted a high-throughput method to assess the metabolic profile of whole zebrafish ventricles ex vivo, utilizing the Seahorse assay (extracellular flux assay). This method allows for rapid, real-time assessment of basal and maximal oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) using the XF Mito Stress test on the Seahorse XFe24 analyzer. In this article, we describe a detailed protocol for performing extracellular flux analysis on whole zebrafish ventricles. The ability to quantify the OCR and ECAR in live whole hearts ex vivo will provide the opportunity to elucidate cardiac metabolism at critical timepoints during development, disease progression, and regeneration.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844793","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":"Detecting Inter-Individual Contamination and Mismatches in Multiomics Next-Generation Sequencing Data.","authors":"Zachary Whitfield, Przemyslaw Kiljan, Monika Krzyzanowska, Daniel Marbach, Vincent Lavergne, Roland Schmucki, Thomas Lorber, Ana Teixeira, Anna Rautanen, Annegret Fischer, Iryna Dekhtiarenko, Franziska Braun, Nicolas Staedler, Guillemette Duchateau-Nguyen, Moritz Gilsdorf, Jehad Charo, Lena Voith von Voithenberg","doi":"10.3791/69428","DOIUrl":"https://doi.org/10.3791/69428","url":null,"abstract":"<p><p>High-throughput processing of patient biosamples by next-generation sequencing and the comparison of molecular data with patient-level and sample-level clinical data require precise tracking and matching of sample identifiers throughout the biospecimen chain of custody and are critical to enabling robust interpretation of biomarker trial results. In addition to tracing individual steps in the sample and data processing workflows, bioinformatics solutions can be used to confirm that samples originate from the same patient. Here, the use of a bioinformatics workflow to identify matched samples originating from the same individual is showcased. The analysis workflow is suitable for any two or more pairs of NGS datasets to be compared and verified for patient sample origin. A scoring algorithm based on genome-wide comparisons of samples enables the user to determine whether two samples stem from the same individual. Specifically, single-nucleotide polymorphisms (SNPs) within selected linkage disequilibrium blocks are used to identify and compare samples. Threshold combinations for permissive and stringent selection of matched and mismatched samples were identified. The utility of this protocol was demonstrated through its application to the quality control and validation of clinical tumor tissue and blood samples, encompassing multiple omics modalities from over 2,000 patients.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844827","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":"A Novel Dual-Modal Deep Learning Approach for Real-Time Removal of Hepatic Fluorescence in Indocyanine Green-Guided Laparoscopic Cholecystectomy.","authors":"Bozheng Lin, Hu Zhou, Lu Ping, Ruohan Cui, Yangfang Liu, Jiayi Li, Yalei Wang, Chihua Fang, Xianlin Han, Surong Hua","doi":"10.3791/68488","DOIUrl":"https://doi.org/10.3791/68488","url":null,"abstract":"<p><p>Indocyanine green-guided laparoscopic cholecystectomy (ICGLC) improves biliary visualization but is often hindered by hepatic fluorescence contamination, which interferes with anatomical structures. This study aims to develop and evaluate a novel dual-modal deep learning framework to automatically detect and remove hepatic fluorescence contamination in real-time during ICGLC procedures. A dataset of 33,123 dual-modality surgical frames was constructed from 48 patients who underwent elective ICGLC. Fluorescence and white-light images were fused and annotated. Several deep learning models were compared, and a DeepLabV3-based mid-fusion network was selected. Morphological post-processing and phased training strategies were implemented to enhance segmentation accuracy and generalizability. The proposed model achieved a Dice coefficient of 0.838 and recall of 0.863 on the final test set. In subjective evaluations, 10 senior surgeons consistently rated the AI-processed videos as clearer, with markedly improved bile duct visualization and reduced visual fatigue. The model demonstrated real-time performance at 0.018 seconds per frame. This study presents the first real-time AI solution for hepatic fluorescence removal in ICGLC. The dual-modal deep learning model significantly enhances visual clarity, offering potential to improve surgical safety, operational efficiency, and training effectiveness. Future prospective studies are warranted to assess the clinical impact on operative outcomes.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844805","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":"Correlation between Cardiac Electrophysiological Indicators and Lipid Parameters in Coronary Heart Disease with Arrhythmia and Heart Failure.","authors":"Xin Huang, Qiuyue Chen","doi":"10.3791/70072","DOIUrl":"https://doi.org/10.3791/70072","url":null,"abstract":"<p><p>This study assessed the relationship between cardiac electrophysiological indicators and blood lipid parameters in patients with coronary artery disease complicated by arrhythmia and evaluated their combined influence on the development of heart failure. A cohort of 240 patients admitted to the Cardiac Center of The First Affiliated Hospital of Xiamen University between April 2023 and April 2025 was screened; 80 met the inclusion criteria and were included in the analysis. Participants were categorized according to the occurrence of heart failure. Clinical characteristics, including lipid profiles (triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and total cholesterol), were analyzed alongside echocardiographic parameters, including left ventricular ejection fraction (LVEF) and carotid intima-media thickness (CIMT). Statistical analyses included correlation testing, multivariable logistic regression, and receiver operating characteristic (ROC) curve analysis. Impaired cardiac function, increased CIMT, and abnormal lipid concentrations were significantly associated with heart failure risk. QTc interval showed positive correlations with LDL-C (r = 0.342, P < 0.01) and triglycerides (r = 0.366, P < 0.01), whereas HDL-C showed inverse correlations with electrocardiographic parameters. In multivariable logistic regression analysis, prolonged QTc interval (OR = 1.08, 95% CI: 1.02-1.15), widened QRS duration (OR = 1.05, 95% CI: 1.01-1.11), elevated LDL-C (OR = 1.74, 95% CI: 1.12-2.63), increased triglycerides (OR = 1.62, 95% CI: 1.05-2.48), reduced HDL-C (OR = 0.68, 95% CI: 0.50-0.91), and decreased LVEF (OR = 0.89, 95% CI: 0.83-0.94) were independent predictors of heart failure. ROC analysis confirmed the predictive value of multiple risk factors, with AUCs ranging from 0.68 to 0.75. HDL-C had the highest predictive accuracy individually (AUC = 0.75), while QTc interval and LVEF also demonstrated strong discrimination (AUC = 0.73).</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 230","pages":""},"PeriodicalIF":1.2,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844840","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}