{"title":"Investigation of the production and antifungal properties of nanocapsules containing chamomile essential oil.","authors":"Tianjiao Liu, Xinyao Qu, Mojiao Zhao, Dafang Zhang, Jianpeng Guo","doi":"10.1038/s41598-025-08802-9","DOIUrl":"https://doi.org/10.1038/s41598-025-08802-9","url":null,"abstract":"<p><p>Our study aims to investigate the production of nanocapsules containing chamomile essential oil and assess their antifungal properties. We have developed a technological process for producing nanocapsules, selected chamomile raw materials, extracted the essential oil, and conducted research on the antimicrobial activity of nanocapsules against four fungal cultures: Candida albicans CGMCC 2.538, Aspergillus fumigatus CGMCC 3.5925, Trichophyton rubrum CGMCC 3.3777 and Epidermophyton floccosum CGMCC 3.3722. Our research revealed significant antimicrobial activity of chamomile-containing nanocapsules against all tested fungi. The zones of fungal inhibition varied depending on the oil concentration and were statistically significant (P < 0.05). The obtained results hold practical significance for the development of antimicrobial agents based on plant oils in the treatment of fungal infections. Further research may focus on the molecular mechanisms of chamomile oil's action, clinical trials in humans, and the optimization of nanocapsule formulations. These steps may contribute to the development of more effective and targeted antimicrobial agents for combating fungal infections and improving patient health.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23981"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565180","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}
Anna Pryczynicz, Marcin Nizioł, Agnieszka Brzozowska, Justyna Dorf, Konrad Zaręba, Katarzyna Guzińska-Ustymowicz
{"title":"Evaluation of MCAM expression in correlation with clinicopathological parameters of gastric cancer.","authors":"Anna Pryczynicz, Marcin Nizioł, Agnieszka Brzozowska, Justyna Dorf, Konrad Zaręba, Katarzyna Guzińska-Ustymowicz","doi":"10.1038/s41598-025-08732-6","DOIUrl":"https://doi.org/10.1038/s41598-025-08732-6","url":null,"abstract":"<p><p>MCAM (Melanoma Cell Adhesion Molecule) is an adhesion protein belonging to the immunoglobulin superfamily, which was identified as a melanoma-specific protein. It is now clear that it can also be found in other types of neoplasms, e.g. in the carcinoma of the prostate, breast, ovary and stomach. MCAM plays a major pro-migratory role in the vascular system, promoting metastases. Therefore the study objective was to immunohistochemically evaluate MCAM expression in gastric cancer as well as to examine the correlation with chosen clinical-histopathological parameters. The study has shown that positive expression of MCAM was observed in cancer cells in 42.5% and in stromal cells in 33.3% of patients. The expression was more frequently seen in low desmoplasia tumors. The positive expression was also associated with higher grade of Helicobacter pylori infection. No correlation was noted with the overall survival rate. The expression of MCAM in stroma showed no correlation with clinical-histopathological parameters and patients' survival. The assessment of MCAM expression is not a useful marker to identify tumor stage nor it is a prognostic factor of gastric cancer. However, this protein may contribute to the process of desmoplastic stroma formation and be involved in the mechanism of inflammatory reaction.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23909"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565197","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":"Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis.","authors":"Yuxing Liu, Jintao Chen, Daifeng Yang, Chenming Liu, Chunhui Tang, Shanshan Cai, Yingxuan Huang","doi":"10.1038/s41598-025-10186-9","DOIUrl":"https://doi.org/10.1038/s41598-025-10186-9","url":null,"abstract":"<p><p>This study developed an immune-related long non-coding RNAs (lncRNAs)-based prognostic signature by integrating multi-omics data and machine learning algorithms to predict survival and therapeutic responses in breast cancer patients. Utilizing transcriptomic and gene expression data from TCGA and GEO databases, 72 immune-related lncRNAs were identified through weighted gene co-expression network analysis (WGCNA) and ImmuLncRNA algorithms. The model was further optimized using 101 combinations of 10 machine learning approaches, ultimately constructing an immune-related lncRNA signature(IRLS) scoring system comprising nine key lncRNAs. Validated across 17 independent cohorts, the model demonstrated that high-risk patients had significantly shorter overall survival (OS) (P < 0.05), with predictive performance surpassing 95 published models (P < 0.05). Additionally, the IRLS score predicted responses to paclitaxel chemotherapy, and the low-risk group exhibited higher immune cell infiltration (P < 0.05), showing significant negative correlations with CD8A, PD-L1, tumor mutational burden (TMB), and neoantigen load (NAL). In immune checkpoint inhibitor (ICI) treatment cohorts, low IRLS scores were associated with improved response rates to atezolizumab. Our findings suggest that the IRLS model serves as a novel biomarker for prognostic stratification and personalized therapeutic decision-making in breast cancer.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23863"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565209","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}
Faisal Javed, Arfa Waseem, G Mustafa, S K Maurya, Mansour Shrahili, Farruh Atamurotov, Mamo Abebe Ashebo
{"title":"Massless and massive scalar shell dynamics from rotating BTZ black holes with nonminimally coupled scalar fields.","authors":"Faisal Javed, Arfa Waseem, G Mustafa, S K Maurya, Mansour Shrahili, Farruh Atamurotov, Mamo Abebe Ashebo","doi":"10.1038/s41598-025-98383-4","DOIUrl":"https://doi.org/10.1038/s41598-025-98383-4","url":null,"abstract":"<p><p>This paper is devoted to presenting the dynamics of thin-shell composed of massive and massless scalar fields developed from (2+1)-dimensional rotating black holes with nonminimally coupled scalar fields. Furthermore, this structure opens up the possibility of investigating links between thin-shell dynamics and black hole physics. It is found that the nonminimally coupled scalar field affects the dynamics of the shell in the background of massive and massless scalar fields. For higher values of the non-minimally coupled scalar field, the effective potential for the choice of massless scalar field decreases as the shell radius increases, which yields the expansion of the shell. For a massive scalar field, the developed structure expresses both expansion and collapsing nature for different choices of physical parameters. Overall, the nonminimal coupling of a scalar field with a 2+1-dimensional revolving black hole affects the dynamical configurations of thin-shell. Results indicate that scalar hair critically influences shell dynamics, leading to distinct behaviors: massless scalar fields promote monotonic expansion, while massive scalar fields induce collapse. The findings highlight that the effective potential's characteristics dictate the shell's dynamic behavior, revealing that an increase in scalar field parameters enhances expansion rates, whereas integration constants exhibit an inverse relationship.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23862"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565211","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":"Extreme maldistribution of high field strength elements along subduction zones revealed by baddeleyite aggregates in serpentinite.","authors":"Hikaru Sawada, Ryosuke Oyanagi, Sota Niki, Takafumi Hirata, Kazuki Yoshida, Mitsuhiro Nagata, Atsushi Okamoto","doi":"10.1038/s41598-025-07698-9","DOIUrl":"https://doi.org/10.1038/s41598-025-07698-9","url":null,"abstract":"<p><p>Serpentinization along subducting plates induces mechanical mixing of diverse rocks and interaction with compositionally distinct fluids, which is often accompanied by the formation of rare mineral species. In this study, newly discovered baddeleyites in the Higuchi serpentinite body (HSB), Japan, are described. The HSB occurs as a 15 × 8 m outcrop surrounded by high-P/T metapelite, and baddeleyite was collected from only one serpentinite block. The baddeleyite appear as aggregates exhibiting angular or subrounded shapes with sizes of up to 2 mm in length. The aggregates are composed of acicular baddeleyite surrounded by porous zircon rims. Both the baddeleyite and the zircon yielded U-Pb ages of ca. 96 Ma, corresponding to the peak metamorphic age of the region. Within the aggregates, Th-enriched areas with sizes of less than 20 μm were observed. The baddeleyite aggregates show enrichment of light rare earth elements with positive Eu anomalies. Based on thermodynamic stability relationships, the baddeleyite aggregates are inferred to have originated as zircon megacrysts, which were mechanically incorporated into the ultramafic rock and subsequently metamorphosed during serpentinization. Subsequent metasomatism associated with carbonation and pervasive silicification led to the formation of the zircon rim and trace-elemental maldistribution. This study demonstrates significant high field strength elements (HFSE) heterogeneity on scales ranging from millimeters to micrometers within serpentinite along subduction zones.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23990"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565224","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}
Yingcong Ren, Song Qin, Ping Yuan, Qianxia Huang, Ma Huang, Yuanzhi Shi, Miao Chen
{"title":"Gata3 drives miR-21-5p transcription to mitigate hyperoxia-induced lung injury, independent of CpG Island methylation.","authors":"Yingcong Ren, Song Qin, Ping Yuan, Qianxia Huang, Ma Huang, Yuanzhi Shi, Miao Chen","doi":"10.1038/s41598-025-09039-2","DOIUrl":"https://doi.org/10.1038/s41598-025-09039-2","url":null,"abstract":"<p><p>microRNA-21-5p (miR-21-5p) plays a key anti-apoptotic role in hyperoxia-induced lung injury (HALI), but its regulatory mechanisms are not well understood. This study identified Gata3 as a novel upstream transcription factor that enhanced miR-21-5p expression. Bioinformatic analyses and GEO transcriptomic data revealed a positive correlation between Gata3 and miR-21-5p levels. Notably, the miR-21-5p promoter lacked a CpG island, indicating transcriptional regulation independent of methylation. Gata3 promoted miR-21-5p transcription, reduced apoptosis in alveolar epithelial cells and alleviating HALI. Furthermore, Gata3 overexpression failed to mitigate HALI in miR-21-5p knockout mice, highlighting the critical role of miR-21-5p in Gata3-mediated lung protection. This study uncovered a novel transcriptional mechanism for miRNA regulation, providing valuable insights into the pathogenesis of HALI.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23966"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565229","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}
Maryam Riyahi, Gholam-Mohammad Parsanasab, Mohammad Sabaeian
{"title":"Graphene patterning without plasma etching via SU-8 pattern peel-off.","authors":"Maryam Riyahi, Gholam-Mohammad Parsanasab, Mohammad Sabaeian","doi":"10.1038/s41598-025-08895-2","DOIUrl":"https://doi.org/10.1038/s41598-025-08895-2","url":null,"abstract":"<p><p>Although graphene has made its way into many areas of science and technology, proper tools for patterning graphene are not available to all researchers. Therefore, any new patterning method is useful. This research investigates the patterning of graphene layers on [Formula: see text] substrates via the use of an SU-8 photoresist to produce micrometer-sized components such as electrodes. The new method is based on the sufficient adhesion of graphene to SU-8 after SU-8 cross-linking. First, SU-8 photolithography in the inverse form of the final pattern is carried out on the graphene layer. Then, both the SU-8 pattern and the graphene part attached to it are simultaneously removed, resulting in the final graphene pattern. This method can also be extended in a way that is compatible with imprint lithography, as its framework is described in this paper. In this way, the non-crosslinked SU-8 in the inverse pattern is transferred to the graphene layer via a premade stamp. This latter approach could benefit from the complete elimination of SU-8 effects, especially SU-8 contamination, from the final graphene pattern, as well as the simplicity of replication for mass production.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23910"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565233","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}
Keilei Guo, Shengyong Chen, Zhen Hui, Feng Guo, Jun Xiang, Dong Li
{"title":"Physical activity and internalization problems in middle school students: the chain mediating role of rumination thinking and peer acceptance.","authors":"Keilei Guo, Shengyong Chen, Zhen Hui, Feng Guo, Jun Xiang, Dong Li","doi":"10.1038/s41598-025-09202-9","DOIUrl":"https://doi.org/10.1038/s41598-025-09202-9","url":null,"abstract":"<p><p>This study explores methods to improve internalizing problems in middle school students through physical exercise, aiming to construct a mediational model that includes physical exercise, Rumination, peer acceptance, and internalizing problems. The model examines the interactions and influence pathways among these variables to provide a more comprehensive understanding of the mechanism through which physical exercise impacts internalizing problems in middle school students. 671 junior high school students were surveyed by physical exercise scale, Rumination scale, peer acceptance scale and internalization question scale. SPSS26.0 was used to analyze the data, followed by descriptive analysis, reliability analysis, Pearson correlation analysis, Harman single factor test and Bootstrap analysis. (1) Physical exercise was negatively correlated with internalizing problems (r = - 0.286), but the direct path between physical exercise and internalizing problems was not statistically significant (β = - 0.060, p > 0.05, CI [- 0.137, 0.018]); (2) Physical exercise was significantly negatively correlated with Rumination (β = - 0.174, p < 0.001, CI [- 0.255, - 0.094]) and significantly positively correlated with peer acceptance (β = 0.357, p < 0.001, CI [0.286, 0.429]). Rumination was significantly negatively correlated with peer acceptance (β = - 0.128, p < 0.001, CI [- 0.199, - 0.056]) and significantly positively correlated with internalizing problems (β = 0.289, p < 0.001, CI [0.222, 0.356]); peer acceptance was significantly negatively correlated with internalizing problems (β = - 0.372, p < 0.001, CI [- 0.448, - 0.296]). (3) The total effect of the chain mediation model was - 0.251, and the direct effect of physical exercise and internalized problems was - 0.059,The total effect accounted for 23.51%, Rumination and Peer acceptance played a mediating role between physical exercise and internalized behavior problems, and the total indirect effect size was - 0.192, The total effect accounted for 76.49%. The mediating effect values of Rumination and Peer acceptance between physical exercise and internalized behavior problems were - 0.050 and - 0.133, accounting for 19.92% and 52.99%, respectively. The chain-mediated effect between Rumination and Peer acceptance between physical exercise and internalized behavior problems was - 0.008, and the chain-mediated effect accounted for 3.19%. Physical exercise is negatively correlated with internalization, Rumination is negatively correlated with peer acceptance; Rumination and peer acceptance, as mediating variables, not only play an independent mediating role between physical exercise and junior high school students' internalization problems, but also further strengthen their role in junior high school students' internalization problems through chain mediation. Although the effect value of chain mediation is small, it is worthy of attention, suggesting that there is a synergistic effect among the variables. ","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23976"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565260","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}
Agnieszka Ewa Krautz, Julia Volkening, Janik Raue, Christian Otte, Simon B Eickhoff, Eike Ahlers, Jörg Langner
{"title":"Prediction of suicide using web based voice recordings analyzed by artificial intelligence.","authors":"Agnieszka Ewa Krautz, Julia Volkening, Janik Raue, Christian Otte, Simon B Eickhoff, Eike Ahlers, Jörg Langner","doi":"10.1038/s41598-025-08639-2","DOIUrl":"https://doi.org/10.1038/s41598-025-08639-2","url":null,"abstract":"<p><p>The integration of machine learning (ML) and deep learning models in suicide risk assessment has advanced significantly in recent years. In this study, we utilized ML in a case-control design, we predicted completed suicides using publicly available, web-based, real-world voice data, and treating speech as a biomarker. Our model demonstrated high accuracy in distinguishing between individuals who died by suicide and carefully matched controls achieving an area under the curve (AUC) of 0.74. This improved to an AUC of 0.85 and an accuracy of 76% when analyzing the subset of individuals who died by suicide within 12 months of the audio recording. The best predictive performance was observed with the Multilayer perceptron model, particularly when using the all Bene, Q + U Bene, and Q + U Raw feature sets-highlighting the importance of combining structured and unstructured paralinguistic features. The findings highlight the critical temporal proximity of voice biomarkers to suicide risk. The model's robustness is further evidenced by its resilience to perturbations in the analytical pipeline. This is the first study to successfully predict actual suicidal behavior rather than surrogate markers, marking a major step forward in suicide prevention. By demonstrating that speech can serve as a non-invasive and objective biomarker for suicide risk, this research opens new avenues for diagnostic and prognostic applications.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23855"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565263","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}
P T Pranesh, Carmelin Durai Singh, Anand Sivanandam, Raman Muthusamy, Swati Sharma, Taha Alqahtani, Humood Al Shmrany, Daniel Ejim Uti
{"title":"Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach.","authors":"P T Pranesh, Carmelin Durai Singh, Anand Sivanandam, Raman Muthusamy, Swati Sharma, Taha Alqahtani, Humood Al Shmrany, Daniel Ejim Uti","doi":"10.1038/s41598-025-08718-4","DOIUrl":"https://doi.org/10.1038/s41598-025-08718-4","url":null,"abstract":"<p><p>Pediatric gastroenteritis is a major reason for sickness and death among children worldwide, especially in places where healthcare and clean sanitation are scarce. Conventional methods of diagnosis overlook possible risks and seasonal trends, which results in patients receiving treatment too late and more of them being hospitalized. The study sets out to create a new deep learning method that boosts the initial prediction, proper classification, and seasonal trends of pediatric gastroenteritis through the use of hybrid convolutions. The VDHNC model was formed by merging the strong feature learning of VGG16 with the efficient information sharing feature of DenseNet. To create the model, data about clinical, demographic, and environmental aspects of pediatric patients were used. The dataset was preprocessed by using imputation, normalization, managing outliers, and using SMOTE to balance classes. Further validation was performed by analyzing the model performance using one-way ANOVA and pairwise t-tests with several baselines such as SVM, Random Forest, and XGBoost. The VDHNC model was able to achieve a high accuracy of 97%, and was more precise, recalled more information, and reported a higher AUC-ROC score than any other model. The model was able to discover signs of seasonal gastroenteritis, which assisted in predicting future outbreaks. A statistical test proved that VDHNC was better than the other approaches with a p-value of less than 0.05. VDHNC proves reliable when it comes to early detection and assessment of risk in pediatric gastroenteritis cases. The solidness and ease of understanding in this model suggest it can be helpful for making real-time public health decisions and planning hospital resources.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"23912"},"PeriodicalIF":3.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144565287","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}