Michael Geissler, Helene Berndt, Ella Herberger, Konrad Wilms, Roger Dumke
{"title":"Methodic aspects of influenza and respiratory syncytial virus detection in raw wastewater and presence in treatment plants in southeastern Germany.","authors":"Michael Geissler, Helene Berndt, Ella Herberger, Konrad Wilms, Roger Dumke","doi":"10.1038/s41598-025-13998-x","DOIUrl":"https://doi.org/10.1038/s41598-025-13998-x","url":null,"abstract":"<p><p>During the COVID-19 pandemic, wastewater-based epidemiology (WBE) has been developed as an additional tool to follow epidemiological trends in the catchment area of treatment plants. Meanwhile, further viral agents of respiratory infections were included in monitoring programs. However, differences in sample processing may impair the results comparison among studies. With identical virus strains, we investigated different concentration methods, RNA isolation kits and primer/probe combinations for detection of influenza virus (IV) A/B and respiratory syncytial virus (RSV) A/B. For procedure optimization, virus enrichment and RNA extraction methods were found to be of relevance. Conversely, the detection step was identified to have a relatively low influence. Using standardized protocols, 24 h composite samples from eight wastewater treatment plants (WWTP) in southeast Germany (2x/week) were analyzed (January 2024 to December 2024) for IVA/B and RSV-A/B. The following rates of virus-positive samples were determined: 20.5% (IVA including 2.2% H1N1pdm09), 4.5% (IVB), 32.6% (RSV-A) and 2.4% (RSV-B). IV and RSV detections showed a matching trend when compared to reported cases. This study contributes to a better understanding of factors influencing the detection of IV and RSV in wastewater as well as in the epidemiological significance of virus monitoring in WWTPs.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"28194"},"PeriodicalIF":3.9,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144765403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yani Xue, Thomas Schincariol, Thomas Chadefaux, Derek Groen
{"title":"Using machine learning to forecast conflict events for use in forced migration models.","authors":"Yani Xue, Thomas Schincariol, Thomas Chadefaux, Derek Groen","doi":"10.1038/s41598-025-11812-2","DOIUrl":"https://doi.org/10.1038/s41598-025-11812-2","url":null,"abstract":"<p><p>Forecasting the movement of populations during conflict outbreaks remains a significant challenge in contemporary humanitarian efforts. Accurate predictions of displacement patterns are crucial for improving the delivery of aid to refugees and other forcibly displaced individuals. Over the past decade, generalized modeling approaches have demonstrated their ability to effectively predict such movements, provided that accurate estimations of conflict dynamics during the forecasting period are available. However, deriving precise conflict forecasts remains difficult, as many existing methods for conflict prediction are overly coarse in their spatial and temporal resolution, rendering them inadequate for integration with displacement models. In this paper, we propose a hybrid methodology to enhance the accuracy of conflict-driven population displacement forecasts by combining machine learning-based conflict prediction with agent-based modeling (ABM). Our approach uses a coupled model that combines a Random Forest classifier for conflict forecasting with the Flee ABM-a model of the movements of refugees and internally displaced persons (IDPs). The coupled model is validated using case studies from historical conflicts in Mali, Burundi, South Sudan, and the Central African Republic. Our results demonstrate comparable predictive accuracy over traditional methods without the need for manual conflict estimations in advance, thus reducing the effort and expertise needed for humanitarian professionals to provide urgent displacement forecasts.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"28202"},"PeriodicalIF":3.9,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144765504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tianqi Wu, Richard A. Stein, Te-Yu Kao, Benjamin Brown, Hassane S. Mchaourab
{"title":"Modeling protein conformational ensembles by guiding AlphaFold2 with Double Electron Electron Resonance (DEER) distance distributions","authors":"Tianqi Wu, Richard A. Stein, Te-Yu Kao, Benjamin Brown, Hassane S. Mchaourab","doi":"10.1038/s41467-025-62582-4","DOIUrl":"https://doi.org/10.1038/s41467-025-62582-4","url":null,"abstract":"<p>We describe a modified version of AlphaFold2 that incorporates experimental distance distributions into the network architecture for protein structure prediction. Harnessing the OpenFold platform, we fine-tune AlphaFold2 on structurally dissimilar proteins to explicitly model distance distributions between spin labels determined from Double Electron-Electron Resonance (DEER) spectroscopy. We benchmark the performance of the modified AlphaFold2, refer to as DEERFold, in switching the predicted conformations of a set of membrane transporters using experimental DEER distance distributions. Guided by sparse sets of simulated distance distributions, we showcase the generality of DEERFold in predicting conformational ensembles on a large benchmark set of water soluble and membrane proteins. We find that the intrinsic performance of AlphaFold2 substantially reduces the number of required distributions and the accuracy of their widths needed to drive conformational selection thereby increasing the experimental throughput. The blueprint of DEERFold can be generalized to other experimental methods where distance constraints can be represented by distributions.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"37 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144763158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hiba Haidar, Anaïs Bellon, Karen Sleiman, Mélanie Hocine, Nicolas Rama, Nicolas Gadot, Darren R. Carpizo, Patrick Mehlen, Fanny Mann
{"title":"Neural function of Netrin-1 in precancerous lesions of the pancreas","authors":"Hiba Haidar, Anaïs Bellon, Karen Sleiman, Mélanie Hocine, Nicolas Rama, Nicolas Gadot, Darren R. Carpizo, Patrick Mehlen, Fanny Mann","doi":"10.1038/s41467-025-62299-4","DOIUrl":"https://doi.org/10.1038/s41467-025-62299-4","url":null,"abstract":"<p>The nervous system undergoes dynamic structural remodeling to infiltrate cancerous tumors, contributing to their growth and progression. Emerging evidence indicates that neuroplasticity initiates early, with nerve terminals detecting and responding to tissue changes even during precancerous stages. Notably, dense sympathetic axon sprouting has been observed around pancreatic intraepithelial neoplasia (PanIN), a common precursor lesion to pancreatic cancer. However, the molecular signals driving this early neuroplasticity and its functional consequences remain poorly understood. Here, we identify the axon guidance molecule Netrin-1 as a key factor secreted by pancreatic cells within precursor lesions of pancreatic cancer. Netrin-1 promotes sympathetic axon growth and branching through its receptor, Deleted in Colorectal Cancer (DCC). Inhibition of Netrin-1 disrupts sympathetic axon remodeling while accelerating PanIN formation and progression, driven by increased precancerous cell proliferation. Furthermore, human pancreatic tissue analysis corroborates Netrin-1 expression in precursor lesions. These findings suggest that Netrin-1-driven sympathetic neuroplasticity plays a protective role in the precancerous microenvironment by modulating local cellular dynamics, providing insights into early cancer progression.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"27 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144763431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sophie L. Chick, Peter Holmans, Darren Cameron, Detelina Grozeva, Rebecca Sims, Julie Williams, Nicholas J. Bray, Michael J. Owen, Michael C. O’Donovan, James T. R. Walters, Elliott Rees
{"title":"Whole-exome sequencing analysis identifies risk genes for schizophrenia","authors":"Sophie L. Chick, Peter Holmans, Darren Cameron, Detelina Grozeva, Rebecca Sims, Julie Williams, Nicholas J. Bray, Michael J. Owen, Michael C. O’Donovan, James T. R. Walters, Elliott Rees","doi":"10.1038/s41467-025-62429-y","DOIUrl":"https://doi.org/10.1038/s41467-025-62429-y","url":null,"abstract":"<p>Rare coding variants across many genes contribute to schizophrenia liability, but they have only been implicated in 12 genes at exome-wide levels of significance. To increase power for gene discovery, we analyse exome-sequencing data for rare coding variants in a new sample of 4650 schizophrenia cases and 5719 controls, and combine these with published sequencing data for a total of 28,898 cases, 103,041 controls and 3444 proband-parent trios. We identify associations for <i>STAG1</i> and <i>ZNF136</i> at exome-wide significance, genes that were previously implicated in schizophrenia by the SCHEMA study at a false discovery rate of 5%. We also find associations at a false discovery rate of 5% for six genes that did not pass this statistical threshold in the SCHEMA study (<i>SLC6A1</i>, <i>PCLO</i>, <i>ZMYND11</i>, <i>BSCL2</i>, <i>KLC1</i> and <i>CGREF1</i>). Among these genes, <i>SLC6A1</i> and <i>KLC1</i> are associated with damaging missense variants alone. <i>STAG1</i>, <i>SLC6A1</i>, <i>ZMYND11 and CGREF1</i> are also enriched for rare coding variants in other developmental and psychiatric disorders. Moreover, <i>STAG1</i> and <i>KLC1</i> have fine-mapped common variant signals in schizophrenia. These findings provide insights into the neurobiology of schizophrenia, including further evidence suggesting an aetiological role for disrupted chromatin organisation.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"11 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144763439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haonan Zhang, Youwen Tian, Xiang Liu, Ming Kuang, Nannan Zhang
{"title":"The electricity purchasing and selling strategy of load aggregators participating in China's dual-tier electricity market considering inter-provincial subsidies.","authors":"Haonan Zhang, Youwen Tian, Xiang Liu, Ming Kuang, Nannan Zhang","doi":"10.1038/s41598-025-13385-6","DOIUrl":"https://doi.org/10.1038/s41598-025-13385-6","url":null,"abstract":"<p><p>To promote the optimal allocation of electricity resources, this paper designs a trading framework for small and medium-sized adjustable electricity users to participate in China's dual-tier electricity market through load aggregators, proposes an inter-provincial transaction correction subsidy coefficient, and analyzes the purchase cost and risk at multiple time and space scales. Combining user demand response and preference behavior, a purchase and sale electricity decision-making model is constructed to achieve revenue maximization and risk control. The experimental results show that the spot purchase strategy proposed in this paper faces relatively low market risks. After applying the subsidy, the daily profit of the load aggregator increases by 145%; the inter-provincial purchase volume increases, and the resource allocation is optimized; the electricity charges of terminal users decrease, with a reduction range of 3.08-7.78 $/MWh. This indicates that the participation of small and medium-sized adjustable electricity users' loads in the dual-tier electricity market through load aggregators expands the trading scope, which is conducive to enhancing the efficiency and sustainable development of the electricity market.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"28227"},"PeriodicalIF":3.9,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144769059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tomasz Włodarczyk, Aaron Lun, Diana Wu, Minyi Shi, Xiaofen Ye, Shreya Menon, Shushan Toneyan, Kerstin Seidel, Liang Wang, Jenille Tan, Shang-Yang Chen, Timothy Keyes, Aleksander Chlebowski, Adrian Waddell, Wei Zhou, Yangmeng Wang, Qiuyue Yuan, Yu Guo, Liang-Fu Chen, Bence Daniel, Antonina Hafner, Meng He, Alejandro Chibly, Yuxin Liang, Zhana Duren, Ciara Metcalfe, Marc Hafner, Christian W. Siebel, M. Ryan Corces, Robert Yauch, Shiqi Xie, Xiaosai Yao
{"title":"Epiregulon: Single-cell transcription factor activity inference to predict drug response and drivers of cell states","authors":"Tomasz Włodarczyk, Aaron Lun, Diana Wu, Minyi Shi, Xiaofen Ye, Shreya Menon, Shushan Toneyan, Kerstin Seidel, Liang Wang, Jenille Tan, Shang-Yang Chen, Timothy Keyes, Aleksander Chlebowski, Adrian Waddell, Wei Zhou, Yangmeng Wang, Qiuyue Yuan, Yu Guo, Liang-Fu Chen, Bence Daniel, Antonina Hafner, Meng He, Alejandro Chibly, Yuxin Liang, Zhana Duren, Ciara Metcalfe, Marc Hafner, Christian W. Siebel, M. Ryan Corces, Robert Yauch, Shiqi Xie, Xiaosai Yao","doi":"10.1038/s41467-025-62252-5","DOIUrl":"https://doi.org/10.1038/s41467-025-62252-5","url":null,"abstract":"<p>Transcription factors (TFs) and transcriptional coregulators are emerging therapeutic targets. Gene regulatory networks (GRNs) can evaluate pharmacological agents and identify drivers of disease, but methods that rely solely on gene expression often neglect post-transcriptional modulation of TFs. We present <i>Epiregulon</i>, a method that constructs GRNs from single-cell ATAC-seq and RNA-seq data for accurate prediction of TF activity. This is achieved by considering the co-occurrence of TF expression and chromatin accessibility at TF binding sites in each cell. ChIP-seq data allows motif-agonistic activity inference of transcriptional coregulators or TF harboring neomorphic mutations. <i>Epiregulon</i> accurately predicted the effects of AR inhibition across different drug modalities including an AR antagonist and an AR degrader, delineated the mechanisms of a SMARCA4 degrader by identifying context-dependent interaction partners, and prioritized drivers of lineage reprogramming and tumorigenesis. By mapping gene regulation across various cellular contexts, <i>Epiregulon</i> can accelerate the discovery of therapeutics targeting transcriptional regulators.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"26 1","pages":"7118"},"PeriodicalIF":16.6,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144766048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Experimental study on basic mechanical properties of lightweight self-insulation concrete block masonry in Northeast cold region.","authors":"Bashir H Osman, Zhongfan Chen, Abu-Bakre A Elamin","doi":"10.1038/s41598-025-14346-9","DOIUrl":"https://doi.org/10.1038/s41598-025-14346-9","url":null,"abstract":"<p><p>In this paper, mechanical and thermal properties of block type are optimized to ensure a more reasonable stress distribution for the self-insulating block. Based on the mix - ratios provided by the standards and considering the technical conditions of the production process, 16 sets of orthogonal experiments are designed to investigate the effects of sand content, water-cement ratio, and the density of the concrete matrix material on the compressive strength of vibrated and pressed expanded clay concrete. Furthermore, basalt rock wool is used as an additive to improve the mix ratio to meet the material requirements of the optimal block type, then, a new composite self-insulating concrete block is developed. Through mechanical performance tests of the blocks, the effects of the vibration-pressing molding process and the composition of the expanded clay lightweight aggregate on the strength development of the new composite self-insulating concrete block are investigated. Additionally, a relationship formula is fitted to describe the development of compressive strength with age. The results showed that the design compressive strength values of the new block masonry are higher than the strength of the \"double-row or multi-row hollow lightweight aggregate concrete block masonry with a MU5.0 + Mb5.0 grade,\" making it suitable for use in two-story masonry load-bearing walls in rural buildings in the cold northeastern regions. Moreover, comparative analysis shows that the average compressive strength value provided by the standards for concrete block masonry is applicable to the new composite self-insulating concrete block masonry. The shear strength of the new block masonry along the mortar joint cross-section shows a significant increase compared to the shear strength values specified in the standards for ordinary concrete hollow block masonry. Finally, proposed equation is recommended to calculate the compressive stress-strain curve, which shows suitable results for the new block masonry.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"28261"},"PeriodicalIF":3.9,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144768961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Integrated electrodes for the nutrient removal from municipal wastewater using electrocoagulation technology.","authors":"Bilisa Bulti Emana, Tsehay Bulti Bulge","doi":"10.1038/s41598-025-07929-z","DOIUrl":"https://doi.org/10.1038/s41598-025-07929-z","url":null,"abstract":"<p><p>Inappropriate wastewater discharge from municipalities causes eutrophication, degraded water quality, and possible risks to the environment. The present study was conducted to determine the efficiency of the electrocoagulation (EC) using integrated electrodes (Al-Al, Fe-Fe and Al-Fe) for nutrient removal from municipal wastewater. In this experimental study, the effect of current density (20, 60, and 80 A/m<sup>2</sup>) and operating time (5, 60, and 90 min) with constant pH 7, electrode distance 0.2 cm, and voltage 30 V using aluminum and iron electrodes was investigated on removal efficiencies of nutrients such as Nitrate Nitrogen (NO<sub>3</sub><sup>-</sup> -N), Ammonia Nitrogen (NH<sub>3</sub> -N), and orthophosphate (PO<sub>4</sub><sup>3-</sup> -P). The experimental set mainly consists of a glass beaker of 2 L as a reactor to hold a sample of 1.5 L, a direct current power supply, and aluminum electrodes with dimensions of 6 cm × 8 cm × 0.6 cm (width, length, and thickness) with an active surface area of 48 cm2. The highest treatment efficiency occurred at an operating time of 90 min and 80 A/m<sup>2</sup> current density, which resulted in 95.59% nitrate nitrogen, 97.56% ammonia nitrogen, and 96.74% orthophosphate for the Al-Al electrode; 96.08% nitrate nitrogen, 98.54% ammonia nitrogen, and 97.78% orthophosphate for the Fe-Fe electrode; and 95.83% nitrate nitrogen, 98.05% ammonia nitrogen, and 97.31% orthophosphate for the Al-Fe electrode, respectively. This means that when current density increases and operating time increases, then the pollutant removal efficiency of electrocoagulation technology becomes high performance. The results showed that electrocoagulation technology using an iron electrode is an effective method for removing nutrients from municipal wastewater. The study findings contribute to an integrated electrode offering a viable route to more economical, sustainable and effective nitrogen removal from municipal wastewater, which would ultimately improve water quality and save the environment.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"28244"},"PeriodicalIF":3.9,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144768980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Introducing the kernel descent optimizer for variational quantum algorithms.","authors":"Lars Simon, Holger Eble, Manuel Radons","doi":"10.1038/s41598-025-08392-6","DOIUrl":"https://doi.org/10.1038/s41598-025-08392-6","url":null,"abstract":"<p><p>In recent years, variational quantum algorithms have garnered significant attention as a candidate approach for near-term quantum advantage using noisy intermediate-scale quantum (NISQ) devices. In this article we introduce kernel descent, a novel algorithm for minimizing the functions underlying variational quantum algorithms. We compare kernel descent to existing methods and carry out extensive experiments to demonstrate its effectiveness. In particular, we showcase scenarios in which kernel descent outperforms gradient descent and quantum analytic descent. The algorithm follows the well-established scheme of iteratively computing classical local approximations to the objective function and subsequently executing several classical optimization steps with respect to the former. Kernel descent sets itself apart with its employment of reproducing kernel Hilbert space techniques in the construction of the local approximations, which leads to the observed advantages.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"28247"},"PeriodicalIF":3.9,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144768981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}