Environmental and Sustainability Indicators最新文献

{"title":"Evaluating sustainable energy security in China and Kazakhstan: A comprehensive data-driven approach","authors":"Walker Darke ,&nbsp;Marat Karatayev","doi":"10.1016/j.indic.2025.100624","DOIUrl":"10.1016/j.indic.2025.100624","url":null,"abstract":"<div><div>This study offers a detailed, data-driven analysis of sustainable energy security (SES) in China and Kazakhstan from 2005 to 2022, utilizing a novel framework based on five critical dimensions: availability, accessibility, affordability, acceptability, and develop-ability. The research integrates extensive socio-economic, energy, and environmental data to assess and compare the sustainable energy security (SES) trajectories of both nations against the backdrop of their unique geopolitical and economic contexts. Our findings reveal that while both countries have made significant strides towards enhancing their SES, they face distinct challenges. China, as a global powerhouse, has made notable advances in integrating sustainable practices within its energy sector, driven by comprehensive policy reforms and technological innovation. Kazakhstan's rich natural resources provide a robust base for energy security but require careful management to balance economic growth with environmental sustainability. This paper concludes with strategic recommendations for both countries to enhance their energy security while aligning with global sustainability goals. The comparative analysis not only underscores the importance of a tailored approach to SES but also contributes to the broader discourse on energy security in the era of renewable transformation.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100624"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementing sustainability frameworks at a product-level – Exploring the usability","authors":"Paule Bhérer-Breton ,&nbsp;Anna Woodhouse ,&nbsp;Bente Aspeholen Åby ,&nbsp;Hilke Bos-Brouwers ,&nbsp;Melanie Kok ,&nbsp;Hanne Fjerdingby Olsen","doi":"10.1016/j.indic.2025.100593","DOIUrl":"10.1016/j.indic.2025.100593","url":null,"abstract":"<div><div>Product-level assessments are for targeted and effective sustainability improvements both in downstream and upstream agrifood supply chains. Current frameworks for sustainability assessments often lack the integration of both social and environmental considerations for product-specific assessment. This study explores the usability of existing frameworks designed for both social and environmental assessments, with a focus on their application at the product level. Based on the development of usability criteria and applying a waterfall selection process, we identified two frameworks (Food System Sustainable framework and Sustainable Nutrition Security framework) for further analysis. To test against usability, both frameworks were applied towards a case study of seven food products produced in Norway: milk, greenhouse tomatoes, greenhouse cucumbers, wheat, beef, sheep and pork. The criteria included the following: data availability, data correctness, ease of use, transparency, effectiveness or relevance, and complexity of use. The selected frameworks provided a holistic and comprehensive approach to assessing social and environmental sustainability. However, their usability was limited due to lower data accuracy and a lack of user-friendliness for researchers, who were the primary target user group. The study revealed a trade-off: frameworks with higher usability tended to sacrifice depth and comprehensiveness in the information provided about food products. Both frameworks faced significant challenges in distinguishing social and ethical issues at the product level, largely due to data limitations. These findings underscore the need for the development of a purpose-built framework that accounts for these trade-offs, while enhancing usability, is essential to progress toward a more sustainable food supply chain.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100593"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the role of main energy transition policies upon renewable energy penetration in the EU: An assessment of energy productivity and low carbon economies","authors":"Gonzalo H. Soto ,&nbsp;Xuan-Hoa Nghiem ,&nbsp;Xavier Martinez-Cobas","doi":"10.1016/j.indic.2024.100573","DOIUrl":"10.1016/j.indic.2024.100573","url":null,"abstract":"<div><div>In this study, we examine the relationship between various variables related to the transition process toward green economies outlined in the European Green Deal guidelines among member countries of the European Union. The two primary variables of interest are energy productivity and low carbon economies between 2004 and 2022 upon renewable energy penetration. By employing fully modified ordinary least squares (FMOLS) and canonical cointegrating regression (CCR) estimation methods and dynamic ordinary least squares (DOLS) for robustness, we conclude that energy productivity discourages the use of renewable energy among European countries, having a negative effect on the utilization of said energy estimated at a decrease of renewable energy use by 0.24% for each 10% increase in energy productivity. On the other hand, the transition process toward less fossil fuel-dependent energy contributes to a greater utilization of renewable energy, with a 0.11% increase for each 10% increase in the use of renewable energy over fossil fuels. Within this analytical framework, we observe that the positive correlation between energy productivity and environmental sustainability does not stem from an uptick in renewable energy integration. Instead, it arises from a reduction in energy inputs within the broader productivity framework. Concurrently, the transition towards greener energy landscapes aims not merely to curtail overall energy consumption but to initiate a strategic process of substituting conventional fuel sources with renewable alternatives, thereby fostering environmental enhancement through energy source diversification.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100573"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term impacts of agricultural greenhouse expansion on albedo, land surface temperature, and vegetation: Evidence from a typical province in China","authors":"Fangxin Chen ,&nbsp;Cong Ou ,&nbsp;Yue Chen ,&nbsp;Xiaochuang Yao ,&nbsp;Bowen Niu ,&nbsp;Zhenbo Du","doi":"10.1016/j.indic.2024.100575","DOIUrl":"10.1016/j.indic.2024.100575","url":null,"abstract":"<div><div>The dramatic expansion of agricultural greenhouses (AGs) in China has raised concerns about its environmental impacts. But our knowledge in this area is still limited, especially the temporal and scale impacts of AGs. To fill this gap, we utilized multiple remote sensing data, time-series segmentation algorithm, and the Mann-Kendall test to analyze the spatiotemporal evolution patterns of AGs in Shandong Province, China from 2001 to 2018. We then explored the impact of AGs on albedo, land surface temperature (LST), and Enhanced vegetation index (EVI) from annual and seasonal analysis perspectives. Results indicated that the total area and number of patches of AGs in Shandong initially grew, then declined, and subsequently grew again. Smaller AGs areas showed lower spatial aggregation and survival rates. Additionally, this study found that AGs have a significant impact on the environment. Increased spatial concentration and longer durations of AGs were linked to more significant reductions in albedo and EVI, along with more pronounced increases in LST. In summer and spring, AGs significantly boosted LST, while in autumn and winter, they significantly reduced albedo. AGs play a crucial role in supporting crop growth during autumn and winter. Moreover, the paper proposed several sustainable AGs management strategies to address these challenges. This study provides observational evidence of the environmental impacts of AGs for promoting sustainable agriculture.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100575"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing financial development's moderating role on the investment-environmental quality nexus: Evidence from Australia using Autoregressive Distributed Lag approach","authors":"Ambepitiya Wijethunga Gamage Champa Nilanthi Wijethunga ,&nbsp;Mohammad Mafizur Rahman ,&nbsp;Tapan Sarker","doi":"10.1016/j.indic.2024.100568","DOIUrl":"10.1016/j.indic.2024.100568","url":null,"abstract":"<div><div>Understanding the impact channels of financial development on environmental quality is vital for achieving desired environmental targets. While the direct impact of financial development on environmental quality has been extensively addressed, its indirect channel through investment has not been broadly explored. Thus, how financial development moderates the impact of domestic investments and foreign direct investments on environment can be an important research agenda. Therefore, this research purposes to study whether financial development moderates the impact of investments on environmental quality in Australia for the period from 1980 to 2021 using the Autoregressive Distributed Lag (ARDL) model. The key findings emphasize that financial development degrades environmental quality in Australia. Moreover, foreign direct investments have a positive effect on environmental quality, confirming the validity of the Pollution Halo Hypothesis in Australia. In contrast, domestic investments worsen environmental quality. Additionally, financial development does not mitigate the harmful impact of domestic investments on environmental quality. However, financial development plays a neutral role in moderating the impact of foreign direct investments on environmental quality while moderating the impact of domestic investment-environmetal quality relationship. These empirical findings provide diverse policy implications for ensuring environmental quality in Australia by strategically supporting both foreign and domestic investments.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100568"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of future urban flood risk of Thailand's bangkok metropolis using geoprocessing and machine learning algorithm","authors":"Duangporn Garshasbi ,&nbsp;Jarunya Kitiphaisannon ,&nbsp;Tanaphoom Wongbumru ,&nbsp;Nawhath Thanwiset Thanvisitthpon","doi":"10.1016/j.indic.2024.100559","DOIUrl":"10.1016/j.indic.2024.100559","url":null,"abstract":"<div><div>Thailand's capital Bangkok is no stranger to floods and the disruption caused by repetitive flooding. Rapid urbanization, inadequate infrastructure, and climate change exacerbate the situation as urban flooding becomes increasingly more frequent and severe. The aim of this study is to assess future urban flood risk of Bangkok metropolitan at the district level for three future periods: 2033, 2043, and 2053. In the assessment of flood risk, the future values of six dynamic urban flood indicators are first projected using an integrative geoprocessing and random forest machine learning algorithm. The projected future indicator values are subsequently used to assess urban flood risk across Bangkok's 50 districts. The six dynamic indicators of urban flood risk are average monthly rainfall, wet days, vegetation cover, population density, flood waste, and anti-flood infrastructure. The findings indicate a steady increase in average monthly rainfall and wet days, highlighting the need for improved floodwater drainage systems and flood resilience. Ongoing urbanization and decreasing vegetation cover exacerbate flood risks. Densely populated areas remain highly susceptible to flooding, underscoring the significance of effective population and waste management strategies. This study also proposes three-timescale urban flood mitigation plans (10-, 20- and 30-year plans) to mitigate future urban flood risk, focusing on short-, medium-, and long-term measures. This research is the first to integrate geoprocessing with machine learning to enhance the prediction performance and accuracy of future urban flood risk projections.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100559"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing dynamic coastal vulnerability to climate hazards: A geospatial approach in Kakinada District, Andhra Pradesh, India","authors":"Ganni Satya Venkata Sai Aditya Bharadwaz ,&nbsp;Indrajit Pal ,&nbsp;Chitrini Mozumder ,&nbsp;Mokbul Morshed Ahmad","doi":"10.1016/j.indic.2025.100622","DOIUrl":"10.1016/j.indic.2025.100622","url":null,"abstract":"<div><div>This study assesses the dynamic coastal vulnerability of Kakinada district in India by integrating various geophysical and socioeconomic factors within a geospatial framework. The analysis examines data from 2001, 2011, and 2021, evaluating dynamic components like cyclone track density, tsunami surge, coastal erosion, temperature rainfall, population, land use/land cover, elevation, slope and drainage density, and transport network. The findings indicate that coastal residents are at high risk due to climate change and coastal hazards. The composite assessment of dynamic coastal vulnerability was estimated and mapped annually, revealing significant impacts across the district. In 2021, 91.17 km² of coastal tracts in Thallarevu, Kakinada Urban, Kakinada Rural, Kothapallei, and Thondangi were classified as very high vulnerability zones. An additional 239.98 km² was categorized as high vulnerability and 267.17 km² as moderate vulnerability. Overall, 598.32 km² out of 1647.68 km² exhibited moderate to very high vulnerability, highlighting the threats from coastal erosion and human encroachment. Significant coastal erosion was identified, with shoreline changes ranging from 604.35 to 1016.25 m over the past two decades, particularly in the southern district. Sea level rise was a critical factor, especially in Kajuluru and Thallarevu, and rapid population growth and urban development exacerbated vulnerability by reducing vegetation cover and increasing built-up areas. Thondangi and Kakinada urban were identified as the most vulnerable blocks, requiring urgent adaptation and mitigation strategies. The study recommends enhancing local services such as clean water, sanitation, primary healthcare, skill development, and flood shelters linked by efficient transportation networks could improve living standards and reduce vulnerability.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100622"},"PeriodicalIF":5.4,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Derivation of allometric equations and carbon content estimation in mangrove forests of Malaysia","authors":"Waseem Razzaq Khan ,&nbsp;Michele Giani ,&nbsp;Stanislao Bevilacqua ,&nbsp;Shoaib Ahmad Anees ,&nbsp;Kaleem Mehmood ,&nbsp;M. Nazre ,&nbsp;Abdul Aziz Bin Abdul Haddy ,&nbsp;Abang Norizan Bin Abang Median ,&nbsp;Japanie Bin Bujang ,&nbsp;Fatin-Norliyana Mohamad-Ismail ,&nbsp;Johar Mohamed ,&nbsp;Zaiton Samdin ,&nbsp;Rambod Abiri ,&nbsp;Tuan-Marina Tuan-Ibrahim ,&nbsp;Lydia-Suzieana Mohammad ,&nbsp;Hamid-Reza Naji ,&nbsp;Seemab Akram ,&nbsp;Hazandy Abdul-Hamid ,&nbsp;Timothy Dube","doi":"10.1016/j.indic.2025.100618","DOIUrl":"10.1016/j.indic.2025.100618","url":null,"abstract":"<div><div>Mangrove forests play a vital role in carbon sequestration and climate change mitigation, yet comprehensive data on their carbon storage capacity in Malaysia remain limited. This study investigated allometric relationships and carbon content in Malaysian mangrove forests, aiming to develop site species-specific allometric equations, determine carbon content in tree components, and assess total carbon stock. Research was conducted in four compartments of the Sg. Pulai Permanent Reserved Forest, representing a mixed-species mangrove stand. We measured 1403 trees across ten species, with <em>Rhizophora apiculata</em> identified as the dominant species. Using diameter at breast height (DBH) and tree height, we developed site species-specific allometric equations to estimate aboveground biomass. The total aboveground biomass ranged from 183.30 t ha⁻¹ to 187.06 t ha⁻¹ across the study area. We calculated the total carbon stock at 91.01 t C ha⁻¹, incorporating measurements from trees below 5 cm in diameter, dead and downed wood, and litter. An economic valuation of carbon storage was conducted using two approaches: the social cost of carbon method estimated a value of USD 4054.76 per hectare. In contrast, the market price approach yielded USD 1064.34 per hectare. This study provides essential data for improving biomass and carbon stock estimation methods in Malaysian mangrove ecosystems. Our findings highlight these forests' economic and ecological importance, supporting their integration into climate change mitigation strategies and informing sustainable management and conservation policies for mangrove forests in Malaysia and similar regions.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100618"},"PeriodicalIF":5.4,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143283596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of sustainable energy use in sugarcane production: A holistic model from planting to harvest and life cycle assessment","authors":"Molood Behnia ,&nbsp;Mohammad Ghahderijani ,&nbsp;Ali Kaab ,&nbsp;Marjan Behnia","doi":"10.1016/j.indic.2025.100617","DOIUrl":"10.1016/j.indic.2025.100617","url":null,"abstract":"<div><div>The study evaluates energy consumption in sugarcane production at the Salman Farsi Sugarcane Agro-Industrial Company in Khuzestan province, Iran, comparing plant cane and ratoon cycles. Plant cane show higher energy input (124,912.32 MJ ha^-1) and output (107,530.44 MJ ha^-1) than ratoon farms (80,317.81 MJ ha^-1 input and 87,586.68 MJ ha^-1 output). However, ratoon cycles are more energy efficient. To lessen energy use in plant cane, the research recommends strategies like minimizing machinery use, adopting reduced and no-tillage practices, and employing efficient irrigation and spraying methods. The environmental assessment reveals that plant cane have greater negative impacts on human health, ecosystems, and resources. Specifically, human health impacts are 3.69 DALY for planted systems versus 1.54 for ratoon systems, indicating greater health risks from initial plantings. Ecosystem impacts also show more local species loss in planted systems (6.25E-04 species.yr compared to 4.11E-04 for ratoon). Moreover, resource costs are higher for planted systems at 320.12 USD2013 of sugarcane, compared to 210.46 USD2013 for ratoon production. The analysis compares Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systems models for predicting energy outputs and environmental effects. Artificial Neural Network models excel in predicting impacts for planted sugarcane, whereas Adaptive Neuro-Fuzzy Inference Systems models are more accurate for ratoon production and are computationally more efficient. The findings emphasize the need for improved sustainability and efficiency in sugarcane production through better energy management and reduced environmental impacts.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100617"},"PeriodicalIF":5.4,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing an indicator system and assessing China's progress on climate change adaptation in 2010–2022 from dual-dimension","authors":"Yang Song ,&nbsp;Xiu Yang ,&nbsp;Huimin Li ,&nbsp;Mingyu Liu","doi":"10.1016/j.indic.2025.100613","DOIUrl":"10.1016/j.indic.2025.100613","url":null,"abstract":"<div><div>China, as one of the regions most severely impacted by climate change globally, has consistently prioritized the issue of climate change adaptation. The Chinese government has implemented a series of measures to adapt to climate change in alignment with national economic and social development plans, yielding positive outcomes. Based on relevant theories, practices, and domestic and international strategic arrangements, we have developed an assessment indicator system from dual-dimension, encompassing both the adaptive stage and the adaptive sector, to assess China's progress in adapting to climate change over the period from 2010 to 2022. This system encompasses indicators related to the impacts of climate change, work progress indicators, effectiveness indicators, among others. The preliminary assessment reveals that since 2010, the influence of climate risks on China has exhibited an upward trajectory. Notably, China has continuously advanced its efforts in promoting adaptation concepts; enhancing monitoring and early warning systems; implementing disaster prevention and mitigation strategies; addressing public health concerns; while significantly improving adaptive capacities within key areas such as agriculture, forestry ecosystems; water resources management; infrastructure development. These endeavors have resulted in substantial adaptation effects and enhanced resilience. Looking ahead, this study will track the progress of climate adaptation actions in China, deepen the analysis of the sensitivity and relevance of adaptation actions, and aim to propose quantitative scientific methods to provide decision support for climate adaptation strategies. Horizontal gap analysis with countries shows that China's climate risks are higher than the global average. China's adaptive capacity and effectiveness still lag behind the international advanced values in 4 areas: disaster prevention, agriculture, forestry and ecology, and freshwater and Marine. In the areas of public health and infrastructure, China has reached or even exceeded the international advanced level. Future research should address issues such as incorporating adaptation costs into the indicator system, establishing long-term monitoring mechanisms for dynamic adjustments, developing local-level indicators, and analyzing the sensitivity and correlation of adaptation actions to enhance the scientific support for climate change adaptation work.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100613"},"PeriodicalIF":5.4,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}