Scientific Reports最新文献

{"title":"Lymphocyte to monocyte ratio and lymphocyte to neutrophil ratio in neurosyphilis may affect the response to therapy and diagnostic efficacy.","authors":"Hongjing Guan, Xiaoyun Di, Mengqing Li, Nawei Yu, Rentian Cai, Chen Chen, Jingli Peng, Zihao Xia, Hongxia Wei","doi":"10.1038/s41598-025-94927-w","DOIUrl":"https://doi.org/10.1038/s41598-025-94927-w","url":null,"abstract":"<p><p>To investigate the effects of lymphocyte to monocyte ratio (LMR), lymphocyte to neutrophil ratio (LNR), and serum toluidine red unheated serum test (sero-TRUST) titers on the therapy response of HIV negative neurosyphilis (NS) patients after initial therapy. HIV negative NS patients who received initial therapy at the Second Hospital of Nanjing were selected as the research participants, and demographic data, as well as clinical and laboratory data, were collected through follow-up.Group the study population based on response to therapy status, with complete response to therapy as the endpoint of the study. Cox regression analysis of factors influencing response to therapy after initial therapy. Time-dependent ROC curve evaluation of LMR and LNR prediction ability. Among the 249 patients included in this study, 200 were in the response to therapy group and 49 were in the therapy non-response to therapy group. Cox regression analysis found that baseline blood LMR > 1.93, LNR > 0.3, and sero-TRUST titer > 1:16 can affect the response to therapy outcomes. However, there was no statistically significant difference between LMR and LNR with and without response in the therapy group. The time-dependent ROC curve shows that the AUC for evaluating response to therapy is moderately sensitive based on baseline sero-TRUST titers, or LNR after 3 months of therapy, sero-TRUST difference from baseline. Baseline blood LMR > 1.93 and sero-TRUST titers ≥ 1:16 may be important prognostic factors affecting response to therapy in HIV negative NS patients. Baseline sero-TRUST titer > 1:16, LNR increase > 0.12 or sero-TRUST titer decrease > 2-fold after 3 months of therapy can be used as auxiliary indicators to evaluate the occurrence of therapy response in patients.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11980"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812389","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":"Author Correction: Advanced predictive machine and deep learning models for round-ended CFST column.","authors":"Feng Shen, Ishan Jha, Haytham F Isleem, Walaa J K Almoghayer, Mohammad Khishe, Mohamed Kamel Elshaarawy","doi":"10.1038/s41598-025-95424-w","DOIUrl":"https://doi.org/10.1038/s41598-025-95424-w","url":null,"abstract":"","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12005"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812395","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":"MMAgentRec, a personalized multi-modal recommendation agent with large language model.","authors":"Xiaochen Xiao","doi":"10.1038/s41598-025-96458-w","DOIUrl":"https://doi.org/10.1038/s41598-025-96458-w","url":null,"abstract":"&lt;p&gt;&lt;p&gt;In multimodal recommendation, various data types, including text, images, and user dialogues, are utilized. However, it faces two primary challenges. Firstly, identifying user requirements is challenging due to their inherent complexity and diverse intentions. Secondly, the scarcity of high quality datasets and the unnaturalness of recommendation systems pose pressing issues. Especially interactive datasets,and datasets that can evaluate large models and human temporal interactions.In multimodal recommendation, users often face problems such as fragmented information and unclear needs. At the same time, data scarcity affects the accuracy and comprehensiveness of model evaluation and recommendation. This is a pain point in multimodal recommendation. Addressing these issues presents a significant opportunity for advancement. Combining multimodal backgrounds with large language models offers prospects for alleviating pain points. This integration enables systems to support a broader array of inputs, facilitating seamless dialogues and coherent responses. This article employs multimodal techniques, introducing cross-attention mechanisms, self-reflection mechanisms, along with multi-graph neural networks and residual networks. Multimodal techniques are responsible for handling data input problems. Cross-attention mechanisms are used to handle the combination of images and texts. Multi-graph neural networks and residual networks are used to build a recommendation system framework to improve the accuracy of recommendations. These are combined with an adapted large language model (LLM) using the reflection methodology,LLM takes advantage of its ease of communication with humans, proposing an autonomous decision-making and intelligent recommendation-capable multimodal system with self-reflective capabilities. The system includes a recommendation module that seeks advice from different domain experts based on user requirements. Through experimentation, our multimodal system has made significant strides in understanding user intent based on input keywords, demonstrating superiority over classic multimodal recommendation algorithms such as Blip2, clip. This indicates that our system can intelligently generate suggestions, meeting user requirements and enhancing user experience. Our approach provides novel perspectives for the development of multimodal recommendation systems, holding substantial practical application potential and promising to propel their evolution in the information technology domain. This indicates that our system can intelligently generate suggestions, meeting user requirements and enhancing user experience. Our approach provides novel perspectives for the development of multimodal recommendation systems, holding substantial practical application potential and promising to propel their evolution in the information technology domain. We conducted extensive evaluations to assess the effectiveness of our proposed model, including an ab","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12062"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812396","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":"Aerodynamic analysis and ANN-based optimization of NACA airfoils for enhanced UAV performance.","authors":"Sanan H Khan, Mohd Danish, Md Ayaz, Afsar Husain, Shamma Saeed, Shamma Abdulla, Shama Shaheen, Alia Saeed, Ahmed Thaher","doi":"10.1038/s41598-025-95848-4","DOIUrl":"https://doi.org/10.1038/s41598-025-95848-4","url":null,"abstract":"<p><p>The performance of unmanned aerial vehicles (UAVs) is strongly dependent on the design of their airfoils, particularly in applications necessitating high maneuverability, stability, and efficiency. This study analyzed three National Advisory Committee for Aeronautics (NACA) airfoil profiles: NACA 2412, NACA 4415, and NACA 0012, using a combination of computational fluid dynamics (CFD), XFOIL simulations, and a hybrid artificial neural network-genetic algorithm (ANN-GA) model. This study aimed to evaluate and optimize the aerodynamic performance of these airfoils under various flight conditions. Through CFD simulations and XFOIL analysis, we explored the lift, drag, and stall characteristics of each airfoil at different angles of attack and Reynolds numbers. The NACA 4415 airfoil consistently outperformed the others, achieving the highest lift-to-drag ratio ([Formula: see text]) and exhibiting favorable stall behavior. Thus, it is particularly well-suited for UAVs operating in challenging environments. Further, streamline and velocity profile analyses confirmed that NACA 4415 exhibited a smooth airflow and delayed flow separation, thereby contributing to its superior aerodynamic efficiency. Using the hybrid ANN-GA model, we optimized key parameters, such as the angle of attack and Reynolds number with optimal values of [Formula: see text] and 770,801, respectively, for maximum efficiency. Additionally, the ANN model demonstrated a high accuracy in predicting the aerodynamic performance, closely matching the results of the CFD simulations. Overall, this study highlighted the potential of combining computational techniques and machine- learning models to optimize UAV airfoil designs. These findings offer valuable insights for improving the efficiency and agility of UAVs, particularly in industries such as precision agriculture, infrastructure inspection, and environmental monitoring.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11998"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812244","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":"Exploring social influences and values in promoting sustainable food consumption using hybrid three stage methods.","authors":"Yanhong Wu, Jianqiang Yu","doi":"10.1038/s41598-025-89689-4","DOIUrl":"https://doi.org/10.1038/s41598-025-89689-4","url":null,"abstract":"<p><p>Although social media is widely recognized as necessary for promoting sustainable food consumption, the theoretical essence of its social influence has yet to be clarified. This research establishes a mutually beneficial model for sustainable food consumption, drawing on Social Influence Theory and Value Theory. The study collected data from an online survey of 15 experts in sustainable food and 311 consumers and analyzed it through a hybrid three-stage approach of fuzzy Delphi, PLS-SEM, and ANN. The results indicate that subjective norms, group norms, and social identity positively influence egoistic and altruistic values, promoting sustainable food consumption. In comparison, social identity has a more important impact on sustainable food consumption, followed by subjective norms and group norms. Usage and value barriers are the main obstacles to sustainable consumption in China, with value barriers moderating the relationship between altruistic value and sustainable food consumption. This study offers innovative approaches to leveraging information technology for achieving sustainable development goals. It holds substantial practical value for stakeholders, including food marketers, government policymakers, and social advocates, providing actionable insights into optimizing marketing strategies, implementing policy incentives, and promoting a culture of sustainable food consumption.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12067"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812245","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":"Photosynthetic performance and sucrose metabolism in superior and inferior rice grains with overlapping growth stages under water stress.","authors":"Xinpeng Wang, Hualong Liu, Huimiao Ma, Yuxiang Dang, Yiming Han, Can Zhang, Aixin Liu, Detang Zou, Jingguo Wang, Hongwei Zhao","doi":"10.1038/s41598-025-85598-8","DOIUrl":"https://doi.org/10.1038/s41598-025-85598-8","url":null,"abstract":"<p><p>Drought stress at jointing and booting stages of plant development directly affects plant growth and productivity in rice. Jointing and booting stages may overlap in high-latitude areas where water deficits occur. However, little is known about the effects of photosynthesis on grain sucrose metabolism and the differences of sucrose metabolism strategies between superior and inferior grains under different drought stress was unclear. In this study, rice plants were subjected to drought stress for 15 days at jointing-booting. Drought stress affected normal leaf growth, and decreased the leaf area index linearly. Short-term mild drought stress had positive effects on photosynthesis, but long-term drought stress reduced the transpiration rate, stomatal conductance, and intercellular CO₂ concentration. Stomatal conductance increased with drought stress duration but increased intercellular CO₂ concentration did not prevent decrease in net photosynthetic rate. Vacuolar invertase activity was important for panicle development (where its activity differed between superior and inferior grains), but not for rice grain filling. Vacuolar invertase activity of drought-sensitive rice varieties superior grains increased by 111.24%~118.46% under drought stress. Drought stress reduced sucrose-phosphate synthase activities in superior and inferior grains. SuSase activity of inferior grains affected sucrose content significantly.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11973"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812251","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":"An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis.","authors":"Hao Yan, Liangliang Shang, Wan Chen, Mengyao Jiang, Tianqi Lu, Fei Li","doi":"10.1038/s41598-025-94703-w","DOIUrl":"https://doi.org/10.1038/s41598-025-94703-w","url":null,"abstract":"<p><p>As a critical component of rotating machinery, the operating status of rolling bearings is not only related to significant economic interests but also has a far-reaching impact on social security. Hence, ensuring an effective diagnosis of faults in rolling bearings is paramount in maintaining operational integrity. This paper proposes an intelligent bearing fault diagnosis method that improves classification accuracy using a stacked denoising autoencoder (SDAE) and adaptive hierarchical hybrid kernel extreme learning machine (AHHKELM). First, a hybrid kernel extreme learning machine (HKELM) is initially constructed, leveraging SDAE's deep network architecture for automatic feature extraction. The hybrid kernel functions address the limitations of single kernel functions by effectively capturing both linear and nonlinear patterns in the data. Subsequently, the hierarchical hybrid kernel extreme learning machine (HHKELM) is refined through an enhanced Aquila Optimizer (AO) algorithm, which iteratively optimizes the kernel hyperparameter combination. The AO algorithm is further enhanced by incorporating chaos mapping, implementing a refined balanced search strategy, and fine-tuning parameter [Formula: see text], which collectively improve its ability to escape local optima and conduct global searches, thus strengthening the robustness of the model during parameter optimization. Experimental results on the CWRU , MFPT and JNU datasets demonstrate that stacked denoising autoencoder-adaptive hierarchical hybrid kernel extreme learning machine (SDAE-AHHKELM) has better fault classification accuracy, robustness, and generalization than KELM and other methods.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11990"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812266","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":"Spatiotemporal uncertainty guided non maximum suppression for video event detection.","authors":"Fengqian Pang, Chunyue Lei, Yunjian He, Hongfei Zhao, Zhiqiang Xing","doi":"10.1038/s41598-025-96188-z","DOIUrl":"https://doi.org/10.1038/s41598-025-96188-z","url":null,"abstract":"<p><p>In recent years, several research hotspots have emerged, including autonomous driving, intelligent surveillance, microscopic video analysis, and so on. Since detecting events in video streams is one of the core requirements for these applications, Video Event Detection (VED) has received increased interest in the field of computer vision. Existing methods have focused on introducing and designing novel deep network architectures to improve detection precision or broaden the VED's application to new tasks. However, uncertainty estimation for video event detection has not been thoroughly investigated, which may reduce decision-making mistakes in practical applications. Specifically, the assessment of uncertainty can alert decision-making systems and decision-makers when the detection results are unreliable. In this paper, we propose an end-to-end VED neural network that incorporates spatial and temporal uncertainty. Furthermore, the estimated spatial and temporal uncertainty is considered to guide and improve the procedure of Non-Maximum Suppression (NMS), termed Spatio-Temporal Uncertainty guided NMS (STU-NMS). Extensive experiments on J-HMDB-21, UCF101-24 and AVA datasets demonstrate integration of STU is superior than existing techniques without modeling uncertainty. Meanwhile, the experimental results also indicate that the proposed STU-NMS can further improve the detection performance on three above datasets.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12019"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812332","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":"Effects of transcranial electrical stimulation of the cerebellum, parietal cortex, anterior cingulate, and motor cortex on postural adaptation.","authors":"Nastaran Bahadorani, Roya Khanmohammadi","doi":"10.1038/s41598-025-92617-1","DOIUrl":"https://doi.org/10.1038/s41598-025-92617-1","url":null,"abstract":"<p><p>Several cortical regions, such as the cerebellum, posterior parietal cortex (PPC), anterior cingulate cortex (ACC), and primary motor cortex (M1), play critical roles in postural adaptation. However, studies examining the effects of transcranial direct current stimulation (tDCS) on postural adaptation in healthy individuals are limited and often yield inconsistent findings, making it challenging to draw definitive conclusions. Most research has focused on individual brain regions, leaving a gap in understanding how the cerebellum, PPC, ACC, and M1 differentially contribute to postural adaptation. Identifying the most effective brain regions for postural adaptation could optimize rehabilitation strategies for individuals with postural control impairments. Thus, this study compared the effects of tDCS over these specific brain regions on postural adaptation. This parallel, randomized, double-blinded, controlled trial involved 75 participants, divided into five groups: anodal stimulation of the PPC, cerebellum, M1, ACC, or a sham group. Each group received 20 min of direct current stimulation in a single session. Center of pressure (COP) displacement, path length, velocity, and standard deviation (SD) were measured across three trials in the anteroposterior (AP) direction during standing disturbed using vibrators attached to bilateral Achilles tendons. A repeated measure ANOVA was used to assess within-group effects, while one-way ANOVA compared between-group differences. Between-group analysis did not reveal statistically significant differences during both the vibration and post-vibration phases. Nonetheless, the within-group analysis revealed significant enhancements in postural adaptation for the PPC and cerebellum groups during the vibration phase. Specifically, the PPC group demonstrated significant reductions in COP displacement (P = 0.005), path length (P = 0.018), and SD of COP displacement (P = 0.045) across trials. Similarly, in the cerebellar group, significant improvements were noted in COP displacement (P = 0.044), velocity (P = 0.006), and phase plane (P = 0.016) across trials. In contrast, no significant changes were found in the M1, ACC, or sham groups during either the vibration or post-vibration phases. In conclusion, while intergroup comparisons were not significant, intra-group analysis revealed that PPC and cerebellar stimulation significantly enhanced postural adaptation. Incorporating tDCS over the PPC or cerebellum in postural training programs could improve postural control, potentially reducing fall risk in clinical populations such as older adults or individuals with neurological dysfunction.RCT registration: On the Iranian Registry of Clinical Trials (IRCT20220819055745N1). Registration date: 15/11/2022.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11966"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143811937","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":"Evaluation of novel and traditional anthropometric indices for predicting metabolic syndrome and its components: a cross-sectional study of the Nepali adult population.","authors":"Daya Ram Pokharel, Abhishek Maskey, Goma Kathayat, Binod Manandhar, Ramchandra Kafle, Krishna Das Manandhar","doi":"10.1038/s41598-025-86489-8","DOIUrl":"https://doi.org/10.1038/s41598-025-86489-8","url":null,"abstract":"<p><strong>Background: </strong>Various anthropometric indices have been proposed to assess central obesity and predict metabolic syndrome (MetS). However, their ability to predict MetS has not been evaluated in the Nepali adult population. This study compared the predictive potential of 12 novel and traditional anthropometric indices for MetS and its components among Nepali adults.</p><p><strong>Methods: </strong>This cross-sectional study, conducted between January 2022 and June 2023, involved 1,116 adult participants (424 females, 692 males) aged 30-86 years from Gandaki Province, Nepal. Twelve anthropometric indices were calculated from the primary anthropometric and metabolic parameters. MetS was defined according to the modified NCEP-ATP III criteria. Logistic regression models were used to assess the strength of associations between these indices and MetS. Receiver operating characteristic (ROC) curve analysis was used to determine the predictive potential of these indices for MetS and its components. AUC differences between various index pairs were also calculated.</p><p><strong>Results: </strong>The overall prevalence of MetS in our study participants was 52.7%. The VAI demonstrated the best performance in predicting MetS (AUC: 0.865 for females, 0.882 for males), followed by LAP (AUC: 0.848 for females, 0.866 for males). The WHR showed good performance (AUC: 0.749 for females, 0.722 for males). BMI, the well-known traditional measure of body adiposity, demonstrated lower predictive ability (AUC: 0.586 for females, 0.571 for males). The optimal cutoffs were as follows: VAI > 2.37 for females, > 1.71 for males; LAP > 37.21 for females, > 47.74 for males; WHR > 0.97 for females, > 0.98 for males; and BMI > 23.10 for females, > 23.90 for males. BAI exhibited the poorest diagnostic performance for MetS prediction in both sexes (AUC < 0.555). Both the VAI and LAP were strongly positively associated (p < 0.001) with increased odds of MetS in both females (OR: 16.03, 95% CI: 9.77-26.31) and males (OR: 24.88, 95% CI: 16.51-37.48).</p><p><strong>Conclusion: </strong>Among Nepali adults, the VAI and LAP outperform traditional anthropometric indices in predicting MetS and its components, suggesting their potential as effective screening tools for early detection. These findings contribute to the development of population-specific screening strategies for MetS in resource-limited settings such as Nepal, potentially enhancing early detection and prevention of cardiometabolic disorders.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12065"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812183","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}