PLoS ONE最新文献

{"title":"Mechanical properties and microstructure of pre-treated luffa fiber reinforced cement mortar.","authors":"Renqiang Yang, Zhengjun Guan, Lihua Zhang, Yong Shu","doi":"10.1371/journal.pone.0314213","DOIUrl":"https://doi.org/10.1371/journal.pone.0314213","url":null,"abstract":"<p><p>In this work, leveraging the enhanced wear resistance, toughness, and renewability of luffa fiber, pretreated luffa fiber was applied into cement mortar to investigate the impact of different fiber contents and sizes on mortar performance. Meanwhile, the fiber-mortar interface fusion and hydration products were systemically analysed by performing SEM-EDS (scanning electron microscopy-energy spectrum analysis) and CT (Computed Tomography) tomography measurements. From our analysis, it was demonstrated that pretreated luffa fibers could significantly enhance the strength, shrinkage resistance, and toughness of cement mortar. When the fiber content was 1% and the length was 1 cm, the 28-day compressive and flexural strengths of the cement mortar reached 57.63 MPa and 9.68 MPa, respectively, representing an increase of 10.81% and 9.47% compared to ordinary cement mortar. When the fiber content was 1%, with fiber lengths of 1 cm and 2 cm, the 56-day drying shrinkage rates of the cement mortar were 2.78% and 6.09%, respectively. This result corresponds to a reduction in shrinkage by factors of 7.17 and 3.27, respectively, compared to standard cement mortar. Additionally, with a fiber content of 1% and lengths ranging from 1 to 3 cm, the load-deflection behaviour of luffa fiber cement mortar was noticeably superior to that of conventional mortar. The SEM-EDS images revealed that cement mortar containing 1 cm fibers had a substantial presence of tinfoil-like C-S-H (hydrated calcium silicate) and needle-like AFt (ettringite) structures. In addition, better integration with the cement mortar compared to other fiber lengths was demonstrated. CT tomography showed that luffa fibers were concentrated in large amounts at the top and bottom of the test samples, with an increase in voids and fiber agglomeration as the fiber content increased. In summary, when the luffa fiber content was 1% and the fiber length was 1 cm, the mechanical performance of cement mortar could be effectively enhanced and fiber agglomeration can be mitigated, suggesting potential applications in building materials.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0314213"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Cost-effectiveness analysis of romosozumab for severe postmenopausal osteoporosis at very high risk of fracture in Mexico.","authors":"Juan Pablo Diaz Martinez, Therese Aubry de Maraumont, Elly Natty Sánchez, Luis Miguel Camacho Cordero, Eric Yeh","doi":"10.1371/journal.pone.0299673","DOIUrl":"https://doi.org/10.1371/journal.pone.0299673","url":null,"abstract":"<p><strong>Introduction: </strong>This study aims to assess the cost effectiveness of romosozumab versus teriparatide, both sequenced to denosumab, for the treatment of severe postmenopausal osteoporosis at very high risk of fractures in Mexican women.</p><p><strong>Methods: </strong>A Markov model was used to assess the relative cost effectiveness of 1 year of romosozumab versus 2 years of teriparatide, both sequenced to denosumab for a total treatment duration of 5 years. Outcomes for a cohort of women with a mean age of 74 years, a T-score ≤-2.5 and a previous fragility fracture were simulated over a lifetime horizon. The analysis was conducted from the perspective of the Mexican healthcare system and used a discount rate of 5% per annum. To inform relative fracture incidence, the bone mineral density (BMD) advantage of romosozumab over teriparatide was translated into relative risks of fracture, using relationships provided by a meta-regression of osteoporosis therapy trials. Outcomes were assessed in terms of lifetime costs (2023 Mexican pesos), quality-adjusted life years (QALYs) and life-years gained (LYs).</p><p><strong>Results: </strong>Base case results showed that, compared with teriparatide/ denosumab, romosozumab/ denosumab reduced costs by $51,363 MXN per patient and yielded 0.03 additional QALYs and 0.01 LYs. Scenario analyses and probabilistic sensitivity analyses confirmed that results are robust to uncertainty in model assumptions and inputs.</p><p><strong>Conclusions: </strong>Results show that romosozumab/ denosumab produces greater health benefits at a lower total cost than teriparatide/ denosumab.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0299673"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"YouTube as an information source in deep margin elevation: Reliability, accuracy and quality analysis.","authors":"Zeyneb Merve Ozdemir, Sevim Atılan Yavuz, Derya Gursel Surmelioglu","doi":"10.1371/journal.pone.0318568","DOIUrl":"https://doi.org/10.1371/journal.pone.0318568","url":null,"abstract":"<p><p>The objective of this research was to assess the accuracy, quality, content, and demographics of videos on YouTube concerning deep margin elevation (DME). Initially, 100 videos for each of the three keywords were analyzed. The content categories of these videos were diverse, encompassing educational materials, teaching techniques, advertisements, and other types of content. The evaluation of the videos was carried out based on the Global Quality Scale (GQS), the Journal of the American Medical Association (JAMA) benchmark, and the modified-DISCERN questionnaire (m-DISCERN). Non-distributed data were analyzed using the Kruskal Wallis test and the Spearman correlation coefficient. The JAMA score was 1 for four videos, 2-3 for 38, and 4 for 14 videos; the GQS score was 1-2 for 18 videos, 3 for 11 videos, and 4-5 for 27 videos; and the m-DISCERN score was < 3 for 39 videos, 3 for four videos, and > 3 for 13 (for a total of 56 videos). Statistically significant differences were observed only for the JAMA scores when comparing the video source groups (p = 0.001). There were significant positive correlations between the GQS and m-DISCERN and m-DISCERN and JAMA scores (p < 0.001 and p = 0.049, respectively). The findings indicated that YouTube videos related to DME generally exhibited high-quality content but only moderate accuracy and poor reliability.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0318568"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Does the social credit system construction reduce enterprises' overinvestment? quasi-natural experimental evidence from China.","authors":"Guozhen Zhang, Yurui Xia, Yiting Xie, Yuanxiang Dong","doi":"10.1371/journal.pone.0318328","DOIUrl":"https://doi.org/10.1371/journal.pone.0318328","url":null,"abstract":"<p><p>As an important part of improving the socialist market economic system, the social credit system focuses on the market's micro behavior, which emphasizes the credit self-discipline of enterprises in financial management and checks the orientation for enterprises' investment decisions. This study selected Shanghai and Shenzhen A-share listed companies for 2012-2023 as samples and used the pilot reform of China's social credit system as a quasi-natural experiment to test the impact and mechanisms of the construction of the social credit system on enterprises' overinvestment. The main findings show that the social credit system construction alleviates enterprises' overinvestment behaviors, realized by the inhibiting effect of internal controls, the reverse effect of risk monitoring, and the guiding effect of business environment optimization. Heterogeneity analyses illustrate that the social credit system construction has a more obvious inhibitory effect on overinvestment for enterprises that are less subject to financing constraints, have higher internet penetration, have better financial development levels, are eastern, non-manufacturing, and large-scale. The conclusions provide new perspectives and references for the government and enterprises to re-examine the economic effects of the social credit system construction, which can promote capital usage efficiency and guide enterprises toward rational management.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0318328"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Respiratory pathology in the mdx/utrn -/- mouse: A murine model for Duchenne Muscular Dystrophy (DMD).","authors":"Marán Y Hernández Rodríguez, Debolina D Biswas, Aoife D Slyne, Jane Lee, Evelyn Scarrow, Sarra M Abdelbarr, Heather Daniels, Ken D O'Halloran, Leonardo F Ferreira, Charles A Gersbach, Mai K ElMallah","doi":"10.1371/journal.pone.0316295","DOIUrl":"https://doi.org/10.1371/journal.pone.0316295","url":null,"abstract":"<p><p>Duchenne muscular dystrophy (DMD) is an X-linked devastating disease caused by a lack of dystrophin which results in progressive muscle weakness. As muscle weakness progresses, respiratory insufficiency and hypoventilation result in significant morbidity and mortality. The most studied DMD mouse model- the mdx mouse- has a milder respiratory phenotype compared to humans, likely due to compensatory overexpression of utrophin. mdx/utrn-/- mice lack both dystrophin and utrophin proteins. These mice have an early onset of muscular dystrophy, severe muscle weakness, and premature death, but the respiratory pathophysiology is unclear. The objective of this study is to characterize the respiratory pathophysiology and histopathology using whole body plethysmography to measure breathing and metabolism, diaphragm muscle functional analysis, histology, and immunohistochemistry. The mdx/utrn-/- mice have significant respiratory and metabolic deficits with respiratory insufficiency and hypoventilation when exposed to hypoxia and hypercarbia as early as 6 weeks of age. They also have significant diaphragmatic weakness and disrupted diaphragmatic structural pathology. The mdx/utrn-/- mice display respiratory dysfunction that mimics the DMD phenotype and therefore can provide a useful model to study the impact of novel therapies on respiratory function for DMD.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0316295"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Health-economic evaluation of the outpatient, inpatient, and public health sector in Germany: Insights from the first three COVID-19 waves.","authors":"Afschin Gandjour","doi":"10.1371/journal.pone.0314164","DOIUrl":"https://doi.org/10.1371/journal.pone.0314164","url":null,"abstract":"<p><strong>Aim: </strong>The aim of this study is to quantify the effectiveness and cost-effectiveness of the outpatient and inpatient sectors (specifically intensive care units, ICUs) and local health departments in managing the first three waves of the COVID-19 pandemic in Germany.</p><p><strong>Methods: </strong>The analysis is based on a modelling approach using secondary data. The effectiveness of each sector was measured by determining the reduction in the case fatality rate (CFR) of COVID-19 patients by May 7, 2021. A counterfactual scenario assuming the absence of each sector was used to quantify their effectiveness. Direct medical costs for each sector were calculated from a statutory health insurance perspective, utilizing reimbursement rates for both the inpatient and outpatient sectors. Incremental cost-effectiveness ratios (ICERs) were determined, representing the costs per death avoided.</p><p><strong>Results: </strong>The ICUs achieved the greatest reduction in the CFR of COVID-19 patients during the first three waves (1.9%). The outpatient sector followed with a reduction of 1.4%, and the local health departments contributed to a 0.3% decrease in the CFR. In terms of spending, ICUs had the highest expenditures among the sectors, resulting in an ICER of €59,055 per death avoided. On the other hand, local health departments were costlier but less effective than the outpatient sector. Results remained consistent across various input assumptions.</p><p><strong>Conclusion: </strong>During the first three waves of the COVID-19 pandemic in Germany, the inpatient sector (ICUs) made the largest contribution to preventing deaths while also incurring the highest costs.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0314164"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Health-related quality of life and its predictors among chronic kidney disease patients: A hospital-based cross-sectional study.","authors":"Tasmia Tasnim, Kazi Muhammad Rezaul Karim, Tanjina Rahman, Harun-Ur Rashid","doi":"10.1371/journal.pone.0319100","DOIUrl":"https://doi.org/10.1371/journal.pone.0319100","url":null,"abstract":"<p><p>Chronic kidney disease (CKD) has a significant impact on the health-related quality of life (HRQoL) of affected individuals due to its progressive and disabling nature. The aim of this study was to evaluate the HRQoL and its predictors among CKD patients. A cross-sectional study was carried out at kidney foundation Hospital and research Institute at Dhaka, Bangladesh. Kidney Disease Quality of Life (KDQoL™ -36) questionnaire were used to measure the HRQoL of CKD patients. The study also used kidney-targeted KDQoL-36 Summary Score (KSS). Socio-demographic and medical records were also collected. Descriptive statistics, and multiple linear regression were performed. Out of 430 patients, 77.9% were in moderate to advanced stage of CKD. Patients aged, occupation, income, co-morbidities such as diabetes or hypertension, medication used, and serum hemoglobin were found significantly (p <0.05) associated at different stages of CKD. The mean domain scores of physical component summary (PCS), mental component summary (MCS), burden of kidney disease (BKD), effect of kidney disease (EKD), symptoms and problems of kidney disease (SPKD) subscales were 37.19, 45.94, 31.49, 63.95, and 73.35, respectively. The KSS was 63.24. The stage of CKD has been documented as an important predictor of HRQoL of all subscales of KDQoL-36 as well as KSS. The older age group also showed a clear link with a lower HRQoL in all subscales of KDQoL-36, except SPKD. In multiple linear regression analysis, stage of CKD, patients age, employment status and use of medication were found significant predictors of KSS. Further, higher levels of education, being married, absence of diabetes and heart disease were all independent predictors of a higher MCS. Whereas retirement, low duration of CKD and the use of three or more drugs strongly linked to worse scores of PCS. By addressing the determinants of poor HRQoL, healthcare providers can tailor treatment plans to better meet the needs of these individuals and ultimately enhance their overall well-being.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0319100"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Association between wasting and inadequate breastfeeding practices among infants under six months in SNNPR and Somali regions of Ethiopia: A multilevel cross-sectional study.","authors":"Bethel Getachew, Yemane Berhane, Yadeta Dessie, Walelegn W Yallew, Hanna Y Berhane, Sunny S Kim","doi":"10.1371/journal.pone.0318323","DOIUrl":"https://doi.org/10.1371/journal.pone.0318323","url":null,"abstract":"<p><strong>Background: </strong>Wasting is a severe threat to children's survival and development. Attaining optimal breastfeeding practices for infants under six months of age remains a significant challenge in low-income countries. This study assessed the association between wasting and breastfeeding practices among infants under six months of age in the SNNPR and Somali regions of Ethiopia.</p><p><strong>Methods: </strong>The study used data from a large feasibility study conducted in the SNNPR and Somali regions of Ethiopia, from August-September 2021. This study involved 895 infants under six months of age with their mothers. The Poisson regression model with robust variance estimation was used to produce adjusted prevalence ratios (APRs) with 95% confidence intervals (CIs).</p><p><strong>Results: </strong>The prevalence of wasting was 16.5% (95% CI: 14.2, 19.2) among infants under six months of age. Non-exclusive breastfeeding (APR = 1.50; 95% CI:1.02, 2.21), delayed initiation of breastfeeding (APR = 1.52; CI:1.00, 2.30), being male infants (APR = 1.50; 95% CI:1.09, 2.07), and mothers who attained primary level (APR = 0.62; 95% CI: 0.40, 0.95) or secondary level education (APR = 0.30; 95% CI: 0.09, 0.99) were independently associated with wasting in the multivariable analysis.</p><p><strong>Conclusion: </strong>This study indicates a high prevalence of wasting among infants under six months of age. Non-exclusive breastfeeding and delayed initiation of breastfeeding were the modifiable factors significantly linked to infant wasting. Strengthening breastfeeding promotion and support may help reduce wasting in infants under six months.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0318323"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Interval combined prediction of mine tunnel's air volume considering multiple influencing factors.","authors":"Zhen Wang, Erkan Topal, Liangshan Shao, Chen Yang","doi":"10.1371/journal.pone.0318621","DOIUrl":"https://doi.org/10.1371/journal.pone.0318621","url":null,"abstract":"<p><p>Continuous monitoring and accurate measurement of required air volume in mine tunnels are crucial phenomena for mine safety However, air volume fluctuates and can become unstable which can lead to biased measurement in underground environment. In this paper, to accurately measure the mine tunnel air volume, the tunnel air volume, and related ventilation parameters are consistently monitored, and the real monitoring data is converted to interval numbers for representation. These interval numbers are then preprocessed using an Interval-type Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(In-CEEMDAN) to extract the essential features of the data. Then, the monitored data is processed using the phase space reconstruction technique to identify the most relevant influencing factors related to the air volume. The tunnel air volume and influencing factors are then input into different neural networks for air volume prediction. To further improve prediction accuracy, the predicted values of wind volume intervals from the single prediction method are transformed into triangular fuzzy numbers, and the generalized induced ordered weighted average operator is introduced for the combination of prediction results. The grey correlation method is selected as the optimization criterion, and the preference coefficients are used to transform the multi-objective optimization problem into a single-objective optimization problem. In order to reduce the prediction error, the L2 paradigm is combined with the gray correlation to construct a complete interval combination type air volume prediction model which considers multiple influencing factors. Finally, a sensitivity analysis was carried out to analyze the values of the preference coefficients in the model, and the final range of values was given. Experimental analysis using data from a coal mine in Inner Mongolia showed that the method could reduce Combined Weighted Mean Absolute Error(CWMAE) to a maximum of 5.0384, Combined Weighted Root of Mean Squares Error(CWRMSE) to 6.8889, and Combined Weighted Mean Absolute Percentage Error(CWMAPE) to 1.4756, which indicates that the method proposed in this study can effectively improve the prediction accuracy of the mine tunnel air volume.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0318621"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Nonlinear connectedness of conventional crypto-assets and sustainable crypto-assets with climate change: A complex systems modelling approach.","authors":"Mushtaq Hussain Khan, Shreya Macherla, Angesh Anupam","doi":"10.1371/journal.pone.0318647","DOIUrl":"https://doi.org/10.1371/journal.pone.0318647","url":null,"abstract":"<p><p>Earlier studies used classical time series models to forecast the nonlinear connectedness of conventional crypto-assets with CO2 emissions. For the first time, this study aims to provide a data-driven Nonlinear System Identification technique to study the nonlinear connectedness of crypto-assets with CO2 emissions. Using daily data from January 2, 2019, to March 31, 2023, we investigate the nonlinear connectedness among conventional crypto-assets, sustainable crypto-assets, and CO2 emissions based on our proposed model, Multiple Inputs Single Output (MISO) Nonlinear Autoregressive with Exogenous Inputs (NARX). Intriguingly, the forecasting accuracy of the proposed model improves with the inclusion of exogenous input variables (conventional and sustainable crypto-assets). Overall, our results reveal that conventional crypto-assets exhibit slightly stronger connectedness with CO2 emissions compared to sustainable crypto-assets. These findings suggest that, to some extent, sustainable crypto-assets provide a solution to the environmental issues related to CO2 emissions. However, further improvements in sustainable crypto-assets through technological advances are required to develop more energy-efficient decentralised finance consensus algorithms, with the aim of reshaping the cryptocurrency ecosystem into an environmentally sustainable market.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 2","pages":"e0318647"},"PeriodicalIF":2.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}