Scientific Reports最新文献

{"title":"Environmental and energy analysis of chromium recovery from residual tanned leather using alkaline thermal hydrolysis.","authors":"Shima Shafiei Ahmadi, Mohammadali Maysami, Reza Abdi, Mahmoud Zarei, Stefan Dröge","doi":"10.1038/s41598-024-84726-0","DOIUrl":"https://doi.org/10.1038/s41598-024-84726-0","url":null,"abstract":"<p><p>The leather industry efficiently uses livestock byproducts but struggles with pollution, especially from chromium in waste. Innovations in chromium recovery can prevent contamination and offer economic benefits, aligning with circular economy principles. However, environmental assessments like life cycle assessment (LCA) are crucial for sustainability. This study evaluates the environmental and energy implications of chromium recovery from leather waste using LCA. Findings indicate that recovering 1 kg of chromium through thermal hydrolysis with an alkaline method results in $ 8.42E-02 resource damage, 4.28E-06 DALY to human health, and 1.60E-08 species year ecosystem damage, according to the ReCiPe method. Sodium hydroxide significantly contributes to environmental damage, highlighting the need for sustainable strategies. With a weighted impact of 201.04 mPt/kg, human health accounts for 62% of the burden, and resource depletion 34%. Recovered chromium reduces environmental damage by 95.65% overall compared to raw production, demonstrating substantial sustainability benefits. The energy assessment shows sodium hydroxide dominates consumption, using 98% of total demand, with 98% from non-renewable sources. Despite energy challenges, chromium recovery reduces environmental impact compared to crude production, promoting ecological resilience.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11202"},"PeriodicalIF":3.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764889","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":"Evaluating regulatory influences on coal mine accidents in China using a fuzzy multi-criteria decision-making approach.","authors":"Yifan Yin, Chengwu Li, Qiusheng Ye, Chengmin Wei, Mingjie Li","doi":"10.1038/s41598-024-83116-w","DOIUrl":"https://doi.org/10.1038/s41598-024-83116-w","url":null,"abstract":"<p><p>Amidst the global surge in industrialization, frequent coal mine safety incidents pose significant risks to miners' lives and environmental stability. This study employs Fuzzy Multi-Criteria Decision-Making (FMCDM) to quantitatively analyze regulatory factors affecting coal mine safety in China from 2012 to 2022, identifying key elements that influence accident risks and regional policy disparities. By integrating Structural Equation Modeling (SEM), Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL), and Gaussian Fuzzy Monte Carlo Analytic Network Process (GFMANP), a comprehensive risk assessment model is developed. This multifaceted approach addresses the limitations of traditional assessment methods, not only identifying the key regulatory factors impacting coal mine safety but also quantifying their influence and interrelationships. The findings reveal a strong correlation between design schemes and management systems (correlation coefficient 0.4931), emphasizing their interdependence and the importance of an integrated approach to safety management. In addition, the results show that technical documents and Southwest factors have the highest risk values (0.1506 and 0.2050, respectively), which provide a detailed risk assessment for different regions of China and are crucial for developing security strategies for different regions. Based on these findings, the recommendations include optimizing the synergy between design schemes and management systems, enhancing technical document management, and developing region-specific safety strategies to reduce the risks of coal mine accidents and improve safety management standards.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11204"},"PeriodicalIF":3.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764902","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":"Thermomechanical analyses and ANN modeling of novel epoxy adhesives with CSR particles and zinc oxide nanoparticles in structural bonding.","authors":"Seyyed Mohammad Mirmohammadi, Omid Moini Jazani, Ali Gharieh","doi":"10.1038/s41598-025-96270-6","DOIUrl":"https://doi.org/10.1038/s41598-025-96270-6","url":null,"abstract":"<p><p>Epoxy adhesives are widely used as structural adhesives distinguished by a significant degree of cross-linking, resulting in their brittle characteristics. Some specialized applications require improved thermal stability and adhesive strength. The incorporation of zinc oxide nanoparticles into a core-shell rubber (CSR) structure composed of poly(butyl acrylate-allyl methacrylate) core and poly(methyl methacrylate-glycidyl methacrylate) shell will enhance the adhesion, toughness, and thermal stability of epoxy adhesives. We synthesized CSR particles using a two-stage emulsion polymerization method, characterizing them through Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and differential scanning calorimetry (DSC) analyses. We synthesized epoxy adhesives with different CSR particles ratios (1.25, 2.5, and 3.75 phr) and zinc oxide nanoparticles (1, 2, and 5 phr) using mechanical stirring and ultrasonication (a two-step mixing process) to enhance dispersion. We cured the epoxy adhesive samples for 7 days for tensile tests and 2 days for lap shear tests at room temperature. We employed the tensile and lap shear tests to assess the mechanical properties of the samples. The samples underwent thermogravimetric analysis (TGA) to assess their thermal stability. We assessed the fracture surface of the optimum samples using field-emission scanning electron microscopy (FESEM). We utilized design-of-experiments (DOE) and artificial neural network (ANN) approaches to model the mechanical properties. The outcomes of FTIR, SEM, TEM and DCS analyses validated the successful synthesis of CSR particles. The tensile test findings on the dumbbell-shaped samples show a 51%, 30%, and 218% enhancement in tensile strength, modulus, and toughness for the samples containing 2.5 phr CSR particles and 2 phr zinc oxide nanoparticles, respectively. Furthermore, the lap shear tests revealed that the addition of 3.75 phr CSR particles and 5 phr zinc oxide nanoparticles increased the shear strength to 19.5 MPa. This is 127% higher than the pure epoxy. The TGA data indicated that both additions improved the thermal stability of the pure epoxy. Additionally, the predictions of shear strength, toughness, tensile modulus, and tensile strength by DOE and ANN were very close to the experimental results (R²_adj > 0.95 for DOE and MRE_ave < 3.2 for ANN).</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11201"},"PeriodicalIF":3.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764842","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 integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems.","authors":"Harleenpal Singh, Sobhit Saxena, Himanshu Sharma, Vikram Kumar Kamboj, Krishan Arora, Gyanendra Prasad Joshi, Woong Cho","doi":"10.1038/s41598-025-89458-3","DOIUrl":"https://doi.org/10.1038/s41598-025-89458-3","url":null,"abstract":"<p><p>This research article introduces a hybrid optimization algorithm, referred to as Grey Wolf Optimizer-Teaching Learning Based Optimization (GWO-TLBO), which extends the Grey Wolf Optimizer (GWO) by integrating it with Teaching-Learning-Based Optimization (TLBO). The benefit of GWO is that it explores potential solutions in a way similar to how grey wolves hunt, but the challenge with this approach comes during fine-tuning, where the algorithm settles too early on suboptimal results. This weakness can be compensated by integrating TLBO method into the algorithm to improve its search power of solutions as in teaches students how to learn and teachers are knowledge felicitator. GWO-TLBO algorithm was applied for several benchmark optimization problems to evaluate its effectiveness in simple to complex scenarios. It is also faster, more accurate and reliable when compare to other existing optimization algorithms. This novel approach achieves a balance between exploration and exploitation, demonstrating adaptability in identifying new solutions but also quickly zoom in on (near) global optima: this renders it a reliable choice for challenging optimization problems according to the analysis and results.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11205"},"PeriodicalIF":3.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764652","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":"Suitable habitat prediction and desertified landscape remediation potential of three medicinal Glycyrrhiza species in China.","authors":"Fanyan Ma, Xiang Huang, Zhenan Yang, Panxin Niu, Keyao Pang, Mei Wang, Guangming Chu","doi":"10.1038/s41598-025-91874-4","DOIUrl":"https://doi.org/10.1038/s41598-025-91874-4","url":null,"abstract":"<p><p>Glycyrrhiza uralensis, Glycyrrhiza glabra, and Glycyrrhiza inflata are significant medicinal plants in traditional Chinese medicine. They also contribute to ecological protection and restoration in the arid and semi-arid regions of Northwest China. This study employed the MaxEnt model to predict the potential habitats of these three species in China under climate change, and examined the relationship between their distribution and desert ecosystems. The results indicated that (1) G. uralensis has a broad distribution, primarily in Northeast, North, and Northwest China. Glycyrrhiza glabra and G. inflata are predominantly found in the northwest provinces. (2) Under current climate conditions, the distribution of the most suitable habitats for these species closely mirrors that of deserts. However, future climate change is expected to reduce the spatial range of all three species. (3) These three species are effective psammophytes, capable of thriving in desert margins and other highly suitable habitats on a large scale. This research offers a theoretical basis for the conservation of plant resources, the restoration and protection of desertified areas, and the advancement of deserticulture.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11198"},"PeriodicalIF":3.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764705","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":"Latent class analysis identifies risk groups to model the expected benefits of SARS-CoV-2 interventions among university students.","authors":"Callum R K Arnold, Nita Bharti, Cara Exten, Meg Small, Sreenidhi Srinivasan, Suresh V Kuchipudi, Vivek Kapur, Matthew J Ferrari","doi":"10.1038/s41598-025-95164-x","DOIUrl":"https://doi.org/10.1038/s41598-025-95164-x","url":null,"abstract":"<p><p>Non-pharmaceutical public health measures (PHMs) were central to pre-vaccination efforts to reduce Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) exposure risk; heterogeneity in adherence placed bounds on their potential effectiveness, and correlation in their adoption makes assessing the impact attributable to an individual PHM difficult. During the Fall 2020 semester, we used a longitudinal cohort design in a university student population to conduct a behavioral survey of intention to adhere to PHMs, paired with an IgG serosurvey to quantify SARS-CoV-2 exposure at the end of the semester. Using latent class analysis on behavioral survey responses, we identified three distinct groups among the 673 students with IgG samples: 256 (38.04%) students were in the most adherent group, intending to follow all guidelines, 306 (46.21%) in the moderately-adherent group, and 111 (15.75%) in the least-adherent group, rarely intending to follow any measure, with adherence negatively correlated with seropositivity of 25.4%, 32.2% and 37.7%, respectively. Moving all individuals in an SIR model into the most adherent group resulted in a 77-96% reduction in seroprevalence, dependent on assumed assortativity. The potential impact of increasing PHM adherence was limited by the substantial exposure risk in the large proportion of students already following all PHMs.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11199"},"PeriodicalIF":3.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764365","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":"Identification of mechanistic CKD biomarkers in a rat SNx kidney fibrosis model by transcriptomics and proteomics detectable in biofluids.","authors":"Karin Barnouin, Elisa Tonoli, Clare Coveney, John Atkinson, Margarida Sancho, Andrew Skelton, David J Boocock, Linghong Huang, Joseph Shephard, Timothy S Johnson, Elisabetta A M Verderio, Breda Twomey","doi":"10.1038/s41598-025-93894-6","DOIUrl":"https://doi.org/10.1038/s41598-025-93894-6","url":null,"abstract":"<p><p>The rat sub-total nephrectomy (SNx) is a functional model of general chronic kidney disease (CKD) where the main pathological driver is glomerular hypertension representative of several subtypes of CKD. Comprehensive transcriptomics and proteomics analyses on the SNx rats were performed to identify biomarkers in plasma or urine that correlate with kidney disease and functional kidney loss. Kidneys were subjected to collagen I and III staining for fibrosis scoring, SWATH-MS proteomics and bulk RNA-sequencing transcriptomics, with SWATH-MS also performed on plasma and urine. Differential expression analysis demonstrated significant dysregulation of genes and proteins involved in fibrosis, metabolism, and immune response in the SNx rats compared to controls. Gene ontology analysis of the intersecting genes and proteins from both studies demonstrated common biology between animal cohorts that reached the predefined kidney disease thresholds (serum creatinine > two-fold or proteinuria > three-fold increase over sham-operated). Thirteen significantly differential molecules were detected with consistent directional changes in both omics datasets. These molecules were detected independently in kidney (both RNA and protein) and urine (protein only), but not in plasma. Bioinformatics analysis enabled the identification of mechanistic CKD biomarkers including lumican and collagen alpha-1(III) chain, whose co-expression has previously been both implicated in fibrosis and detected in urine in CKD patients.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11200"},"PeriodicalIF":3.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765003","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":"Spatial multilevel analysis of individual, household, and community factors associated with COVID-19 vaccine hesitancy in the Dominican Republic.","authors":"Behzad Kiani, Benn Sartorius, Beatris Mario Martin, Angela Cadavid Restrepo, Helen J Mayfield, Cecilia Then Paulino, Petr Jarolim, Micheal De St Aubin, Ronald Skews Ramm, Devan Dumas, Salome Garnier, Marie Caroline Etienne, Farah Peña, Gabriela Abdalla, Adam Kucharski, William Duke, Margaret Baldwin, Bernarda Henríquez, Lucia de la Cruz, Eric J Nilles, Colleen L Lau","doi":"10.1038/s41598-025-94653-3","DOIUrl":"https://doi.org/10.1038/s41598-025-94653-3","url":null,"abstract":"<p><p>Vaccine hesitancy or refusal poses a significant public health challenge resulting in the resurgence of preventable diseases and undermining the effectiveness of national and global health initiatives. This study investigates multilevel determinants of COVID-19 vaccine hesitancy in the Dominican Republic (DR) shortly after the launch of the national COVID-19 vaccination campaign in February 2021. Participants aged 18 years and older were enrolled through a national multistage cluster survey conducted from June-October 2021. The Health Belief Model guided the selection of potential factors contributing to vaccine hesitancy. Hierarchical mixed-effect logistic regression models were used to examine individual, household, and community factors associated with vaccine hesitancy. COVID-19 vaccine hesitancy was observed in 12.6% (95% CI: 11.7-13.5%) of participants (n = 5,566), with spatial variations at the cluster level. Individual factors associated with lower odds of vaccine hesitancy included older age, higher education levels, mulatto ethnicity, and perceiving vaccination as crucial for health. In contrast, factors significantly associated with hesitancy included being born in the DR and concerns about COVID-19 vaccine side effects. For factors at the household level, differential trust in health information sources significantly influenced vaccine hesitancy, with certain sources correlating with increased hesitancy and others with reduced vaccine hesitancy. Better access to healthcare, as indicated by a higher number of hospitals per population, was paradoxically associated with increased vaccine hesitancy. Future strategies to reduce vaccine hesitancy in the DR might consider these multifaceted factors.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11203"},"PeriodicalIF":3.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765194","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":"Coactivation patterns reveal the abnormality of dynamic state transitions between different psychiatric disorders.","authors":"Lianjie Niu, Wenshi Li, Yongtao Bai, Keke Fang, Shaoqiang Han, Peng Liu, Jinrong Qu, Xianfu Sun","doi":"10.1038/s41598-025-88203-0","DOIUrl":"https://doi.org/10.1038/s41598-025-88203-0","url":null,"abstract":"<p><p>There is growing interest in utilizing dynamic methods to investigate psychiatric disorders, particularly the transient dynamic approaches. However, current research predominantly focuses on dynamic abnormalities within a single psychiatric disorder compared to healthy controls, without considering the shared and specific features across different psychiatric conditions. The dynamic abnormality across psychiatric disorders remains unclear. In this study, we employed Co-activation Pattern (CAP) method to investigate the transient configurations of brain activity across different psychiatric conditions, including schizophrenia (SZ, n = 37); bipolar I disorder (BD, n = 40); attention-deficit/hyperactivity disorder (ADHD, n = 37), and healthy controls (HC, n = 110). By conducting k-means clustering analysis, we identified 10 transient activation patterns. Our findings reveal that the specificity of psychiatric disorders is reflected in the transition probabilities between states, with distinct state transition patterns observed across different disorders. Notably, abnormal state transitions are concentrated in the core states (State 1 and State 2), highlighting the common dynamic abnormalities across psychiatric conditions. These core states involve the activation of the attention network and the sensorimotor network and show significant associations with the functional gradient. Furthermore, we found that abnormalities in state transitions are associated with cognitive behavior. Overall, this work provides a dynamic network perspective for understanding the shared and specific characteristic of psychiatric disorders.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11060"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765097","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 examination of the effectiveness of mindfulness-integrated cognitive behavior therapy on depression, anxiety, stress and sleep quality in Iranian women with breast cancer: a randomized controlled trial.","authors":"Mahboobeh Soleymani Moghadam, Aliakbar Parvizifard, Aliakbar Foroughi, Seyed Mojtaba Ahmadi, Negin Farshchian","doi":"10.1038/s41598-025-85745-1","DOIUrl":"https://doi.org/10.1038/s41598-025-85745-1","url":null,"abstract":"<p><p>Breast cancer causes numerous physical complications and mental stress that negatively impact patients' performance and quality of life. This study examined the effects of mindfulness-integrated cognitive behavior therapy (MICBT) on depression, anxiety, stress, and sleep quality in women with breast cancer. A clinical trial design with pre-tests and post-tests and a two-month follow-up were used in the current study. The target population was women with breast cancer, 30 of whom were selected through purposeful sampling. Then, 15 participants were placed in the intervention group and 15 in the control group with four random blocks. Those in the intervention group received mindfulness-integrated cognitive behavior therapy, while those in the control group received self-help (an educational book). Demographic questionnaires, the Depression, Anxiety, Stress Scale (DASS-21), and Pittsburgh Sleep Quality Index (PSQI) were used to collect data. Descriptive statistics such as frequency, mean and standard deviation, repeated measures ANOVA, and the Bonferroni test were used to analyze the data. The maximum alpha error level was considered 0.05 to test the hypotheses (p ≥ 0.05). The results showed the effectiveness of MICBT therapy on depression, anxiety, stress, and sleep quality (p < 0.05). The mean scores decreased in all variables, including from 15.47 ± 1.77 in the pre-test to 11.33 ± 4.25 in the post-test for depression, from 13.20 ± 2.60 in the pre-test to 8.67 ± 4.19 in the post-test for anxiety, from 19.73 ± 1.98 in the pre-test to 14.67 ± 2.69 in the post-test for stress and from 9.20 ± 1.74 in the pre-test to 5.07 ± 2.05 in the post-test for sleep quality. Based on the results of this study, it can be concluded that MICBT therapy is effective in reducing depression, anxiety, and stress and improving sleep quality in women with breast cancer. Therefore, it is recommended that affected women use psychological treatments such as MICBT in addition to medical treatments to deal with this stressful and challenging disease. MICBT can improve mood, offer a new cognitive and behavioral system, change patients' habits and thought patterns, and improve their lifestyle.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11041"},"PeriodicalIF":3.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765100","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}