Applied GeographyPub Date : 2026-04-01Epub Date: 2026-02-12DOI: 10.1016/j.apgeog.2026.103941
Wenjie Zhang , Haoyun Shao , Ranhao Sun , Yuyu Zhou , Yuanjian Yang , Zunyi Xie , Botao Zhou
{"title":"Zone-specific vegetation dynamics and impact on surface urban heat island intensity in Chinese cities","authors":"Wenjie Zhang , Haoyun Shao , Ranhao Sun , Yuyu Zhou , Yuanjian Yang , Zunyi Xie , Botao Zhou","doi":"10.1016/j.apgeog.2026.103941","DOIUrl":"10.1016/j.apgeog.2026.103941","url":null,"abstract":"<div><div>Vegetation changes in urban and suburban zones significantly influenced surface urban heat island intensity (SUHII) through their cooling effects. However, traditional SUHII studies often relied on an oversimplified urban-suburban binary framework and failed to adequately reveal the distinct patterns of differences in vegetation changes and their thermal environmental responses between old and new urban areas. Based on Moderate Resolution Imaging Spectroradiometer (MODIS) data from 2000 to 2020, the Normalized Difference Vegetation Index (NDVI) was used to quantify vegetation change trends in 112 major cities in China, and the cooling effects were further calculated to assess the contribution of vegetation changes in different regions to SUHII. Our findings revealed that: (1) vegetation change rates showed an overall greening-browning-greening pattern in old, new, and suburban areas; (2) citywide SUHII increased by 0.07 °C/year but exhibited clear regional divergence, with old urban areas declining at a rate of 0.01 °C/year and new urban areas increasing at a rate of 0.06 °C/year; (3) vegetation changes in old, new, and suburban areas contributed −38.45%, 37.67%, and 23.88% to SUHII enhancement, respectively. This study comprehensively reveals the mechanisms by which zonal vegetation dynamics influence citywide SUHII, providing a scientific basis for targeted heat mitigation strategies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"189 ","pages":"Article 103941"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied GeographyPub Date : 2026-04-01Epub Date: 2026-02-19DOI: 10.1016/j.apgeog.2026.103945
Liuyi Song , Linsen Wang , Mei-Po Kwan , Yan Zhang
{"title":"Residential sentiments and spatial environments in urban villages: An X-minute community life circle analysis","authors":"Liuyi Song , Linsen Wang , Mei-Po Kwan , Yan Zhang","doi":"10.1016/j.apgeog.2026.103945","DOIUrl":"10.1016/j.apgeog.2026.103945","url":null,"abstract":"<div><div>Urban villages, a unique residential typology of China's rapid urbanization, and their residents' sentiments have become a prominent issue in the development and management of Shenzhen. While numerous studies have investigated the impact of the urban environment on residents' sentiments, most have focused on the general population and used administrative units, neglecting environmental impacts across spatial scales based on daily mobility. To address these research gaps, this study employed multi-source big data and a large language model to assess residents' sentiments and evaluate environmental features within 5-, 10-, and 15-min community life circles in the urban villages of Shenzhen. Hierarchical regression and ridge regression were used to explore the key environmental features affecting urban village residents' sentiments. The findings indicated that the sentiment scores of urban village residents were significantly lower than those of the general population, while low sentiment scores were concentrated in suburban areas. Further, the environmental variables within the 10-min community life circle had the greatest influence on sentiments for urban villagers. Specifically, subway stations and green spaces contributed positively to residents' sentiments, while industrial parks and building density/height had a negative impact. These findings advance urban research by integrating activity-space theory with big data analytics, deepening the understanding of how spatial environments shape marginalized groups' sentiments. The results also provide an empirical foundation for optimizing urban renewal policies to improve the quality of life and mental well-being of urban village residents through the development of more livable and healthier urban environments.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"189 ","pages":"Article 103945"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied GeographyPub Date : 2026-04-01Epub Date: 2026-02-20DOI: 10.1016/j.apgeog.2026.103944
Duo Yin , Yiqing Wang , Beibei Liu , Yi Yu
{"title":"Protected areas as contested contact zones: Leopards, livestock, and the politics of coexistence","authors":"Duo Yin , Yiqing Wang , Beibei Liu , Yi Yu","doi":"10.1016/j.apgeog.2026.103944","DOIUrl":"10.1016/j.apgeog.2026.103944","url":null,"abstract":"<div><div>The prevailing human-wildlife conflict paradigm inadequately captures the complex multi-species interactions within protected areas, as it disregards the agency of non-human actors and the insights of local knowledge. This study moves beyond this anthropocentric lens by reconceptualising the Tieqiaoshan Nature Reserve in Shanxi Province, China, as a dynamic multi-species contact zone. Rather than treating these dynamics as purely ecological, we show that spatial displacement and temporal adaptation constitute a politics of coexistence, through which non-human actors reconfigure governance authority, enforcement practices, and the limits of exclusionary conservation. Through a mixed-methods approach that triangulates two years of infrared camera data (15,351 detections) with in-depth ethnographic interviews, we reveal how free-ranging cattle, acting as a primary and quasi-autonomous ecological force, restructure wildlife communities. Our analysis reveals that free-ranging cattle drive a distinct spatial restructuring of wildlife, competitively displacing roedeer and facilitating habitat conditions for hares. In parallel, North China leopards undergo a significant behavioural adaptation, shifting towards nocturnality (temporal overlap <em>Δ</em> = 0.80). These quantitative patterns are prefigured and are eloquently explained by the villagers’ ecological knowledge, which recognises cattle as the key ecological agent and highlights the dynamics of interspecies interactions. The study advances both the theory and practice of more-than-human conservation through a multi-species spatiotemporal framework for mitigating conservation-livelihood tensions and a replicable methodology for integrating quantitative ecology with local knowledge.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"189 ","pages":"Article 103944"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied GeographyPub Date : 2026-04-01Epub Date: 2026-02-20DOI: 10.1016/j.apgeog.2026.103950
Xunhuan Li, Jessie P.H. Poon, Julie A. Silva, Le Wang
{"title":"Do China's energy poor left-behind regions benefit from solar photovoltaics?","authors":"Xunhuan Li, Jessie P.H. Poon, Julie A. Silva, Le Wang","doi":"10.1016/j.apgeog.2026.103950","DOIUrl":"10.1016/j.apgeog.2026.103950","url":null,"abstract":"<div><div>China has attempted to address “left-behind” regions' (LBRs) energy poverty by expanding solar photovoltaic (PV) installations in the regions. This paper examines the effect of solar PV on LBRs' energy poverty using nighttime light (NTL) as a measure of lighting and electrification. Spatial autoregressive regressions show that both LBR and non-LBR regions stand to gain from higher NTL associated with smaller scale, distributed PV installations. In contrast, large-scale utility PV, installed predominantly in the more arid western region, has a negative effect. The findings suggest that distributed PV is a viable solar system for alleviating energy poverty but the state's priority in utility PV competes with regional development goals that seek to address uneven development.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"189 ","pages":"Article 103950"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied GeographyPub Date : 2026-04-01Epub Date: 2026-02-06DOI: 10.1016/j.apgeog.2026.103926
Ming Yan , Cong Fu , Xiao Huang , Siqin Wang , Yuchen Li , Lambed Tatah , Rui Zhu , Yanqing Xu
{"title":"Unpacking asthma risks: A multi-level spatial analysis of social determinants of health in the U.S.","authors":"Ming Yan , Cong Fu , Xiao Huang , Siqin Wang , Yuchen Li , Lambed Tatah , Rui Zhu , Yanqing Xu","doi":"10.1016/j.apgeog.2026.103926","DOIUrl":"10.1016/j.apgeog.2026.103926","url":null,"abstract":"<div><div>A robust population health and healthcare security infrastructure is fundamental to fostering a prosperous and equitable society. When policymakers seek to reduce asthma burdens, analyzing the impact of social determinants of health on the U.S. population's asthma prevalence at a micro-geographic scale is indispensable. This research introduces a spatial framework at the census tract level to predict asthma prevalence, using county- and census tract–level demographic indicators collected from 2017 to 2020. We incorporate 48 unique factors associated with asthma risk and endeavor to generate highly accurate estimates across all U.S. census tracts while shedding light on the synergistic effects of these predictors. The results reveal that elevation and smoking rates within a census tract are especially influential, whereas county-level climate variables and political affiliation emerge as critical moderators of these nonlinear dynamics. Specifically, the distinct mountain climate of high-altitude areas is associated with lower predicted asthma prevalence. Although regions with higher smoking prevalence are generally associated with higher asthma prevalence, this positive association appears weaker in politically Republican-leaning regions. This study demonstrates the potential of theoretically informed models to predict and explain population health burdens, providing an effective way to create healthy cities.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"189 ","pages":"Article 103926"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146122685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied GeographyPub Date : 2026-04-01Epub Date: 2026-02-12DOI: 10.1016/j.apgeog.2026.103938
Yizhong Huan , Fei Wu , Xiaoyun Li , Jing Wang , Yiming Su , Yang Lan , Feng Kong , Jixi Gao , Wenwu Zhao , Lingqing Wang , Jian Hu , Wenjie Zhao , Yazhu Wang , Peter E. Holm , Zhaohui Feng , Siyu Wang , Yali Tong , Jörg Rinklebe , Riqi Zhang , Tao Liang , Guangjin Zhou
{"title":"Prioritizing climate action maximizes synergies among global environmental SDGs: A causal network analysis","authors":"Yizhong Huan , Fei Wu , Xiaoyun Li , Jing Wang , Yiming Su , Yang Lan , Feng Kong , Jixi Gao , Wenwu Zhao , Lingqing Wang , Jian Hu , Wenjie Zhao , Yazhu Wang , Peter E. Holm , Zhaohui Feng , Siyu Wang , Yali Tong , Jörg Rinklebe , Riqi Zhang , Tao Liang , Guangjin Zhou","doi":"10.1016/j.apgeog.2026.103938","DOIUrl":"10.1016/j.apgeog.2026.103938","url":null,"abstract":"<div><div>Environmental Sustainable Development Goals (SDGs) interact with each other and with socio-economic SDGs in complex ways, involving both positive and negative influences of varying strength. Understanding these interactions is critical for identifying transformative actions that reduce trade-offs, enhance synergies, and accelerate progress toward environmental sustainability. However, the causal interactions remain underexplored, and priorities for coordinated governance actions are still unclear. This study assessed the weighted and directed interactions of 40 environmental targets within the SDG system based on expert elicitation. By using complex network analysis, we systematically analyzed the causal network, focusing on node-level importance, macro-level causal structure, edge vulnerability under multiple scenarios, and latent linkages. Our findings indicate that prioritizing target 13.1 (strengthen capacity to climate-related hazards) could be highly effective. Coordinated action between climate adaptation and marine ecosystem conservation can accelerate overall environmental progress. Furthermore, causal links along multiple shortest paths serve as critical bridges that sustain network resilience; targeted interventions on these links can amplify synergies and reduce trade-offs. Out of 2107 latent causal links predicted, six strongest positive interactions, primarily related to climate policy and forest management, stand out as potential focal points for environmental governance. This study offers new valuable insights for global environmental sustainability governance and supports progress toward achieving the 2030 Agenda.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"189 ","pages":"Article 103938"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied GeographyPub Date : 2026-04-01Epub Date: 2026-02-23DOI: 10.1016/j.apgeog.2026.103939
Yang Yang , Haoying Han , Shuyang Li , Jiayi Fu , Xing Su , Chao Fan
{"title":"A multilevel regression model to explain disparities in residential cooling infrastructure across heat-threatened regions","authors":"Yang Yang , Haoying Han , Shuyang Li , Jiayi Fu , Xing Su , Chao Fan","doi":"10.1016/j.apgeog.2026.103939","DOIUrl":"10.1016/j.apgeog.2026.103939","url":null,"abstract":"<div><div>Residential Cooling Infrastructure (RCI) plays a crucial role in mitigating heat stress among residents. However, the unequal distribution of RCI remains a largely overlooked dimension of thermal inequality, and large-scale, fine-resolution assessments of the multilevel drivers of this disparity are still scarce. This study identifies significant disparities in RCI prevalence, affecting at least 2.32 million residents in the state of Texas, USA. The results of our multilevel analysis reveal that the proportion of the population with low educational attainment is the most powerful and consistent predictor of low RCI prevalence at both the census tract and county levels. In particular, areas with higher RCI prevalence report average earnings 1.6 times greater than those with lower prevalence. A one-standard-deviation increase in this variable raises the odds of low RCI prevalence by up to 198% at the census tract level. High Intraclass Correlation Coefficient (ICC) values (0.53–0.62) further demonstrate that RCI inequity is not simply a localized segregation phenomenon but a systemic challenge, with over half its variance rooted in county-level factors. These findings underscore the critical role of education in enabling individuals and communities to adopt and maintain adequate cooling infrastructure, supporting the formulation of public policies that promote educational advancement as a feasible strategy to enhance societal resilience to heat stress.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"189 ","pages":"Article 103939"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied GeographyPub Date : 2026-04-01Epub Date: 2026-02-26DOI: 10.1016/j.apgeog.2026.103958
Xinyue Cui , Zhihang Lai , Lanting Qiao , Qi Wang , Haimeng Liu , Qian Cao , Xiao Sun , Jianmin Qiao
{"title":"From structures to mechanisms: A network-based analysis of food provision service flow paths","authors":"Xinyue Cui , Zhihang Lai , Lanting Qiao , Qi Wang , Haimeng Liu , Qian Cao , Xiao Sun , Jianmin Qiao","doi":"10.1016/j.apgeog.2026.103958","DOIUrl":"10.1016/j.apgeog.2026.103958","url":null,"abstract":"<div><div>Food provision service (FPS) flows, which connect remote supply and demand areas, form complex spatial patterns that are critical yet inadequately understood for managing regional food systems. This study systematically identifies the typical spatial structures of FPS flows in China's Yellow River Basin from 2000 to 2020 and unravels their underlying formation mechanisms. We simulated inter-regional flow paths and intensity using an enhanced two-step floating catchment area model and a minimum-cost allocation approach. The resulting networks were then analyzed through topology metrics to classify distinct flow structures, whose driving mechanisms were interpreted by integrating eXtreme Gradient Boosting with SHapley Additive exPlanations. Results revealed a significant increase in the supply-demand ratio from 1.65 to 3.90, with flow intensity weakening post-2000 before recovering by 2020. Spatially, FPS flows were oriented from mid-downstream production zones toward upstream demand centers. We identified and characterized three archetypal structures: (1) Proximity-oriented flows, occurring in regions with limited production capacity that relied on nearby surplus areas, facilitated short-range transfers and enhanced local resilience, primarily driven by population density and transport accessibility; (2) Multi-source-oriented flows, developed in ecologically fragile areas, maintained system stability through diversified supply sources, reflecting constraints from terrain relief and climate; (3) Dominance-oriented flows, originating from highly productive and accessible zones, formed efficient yet vulnerable centralized networks, predominantly shaped by landscape concentration and topography. These structures elucidate fundamental organizational principles of FPS flows, and the proposed framework offers a systematic tool for developing targeted food security strategies within the basin and beyond.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"189 ","pages":"Article 103958"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Applied GeographyPub Date : 2026-03-01Epub Date: 2026-01-16DOI: 10.1016/j.apgeog.2026.103902
Zongnan Hu , Sol Maria Halleck Vega , Shijin Qu , Shougeng Hu
{"title":"Heterogeneous impacts of urban network centrality on economic growth: A county-level analysis in China","authors":"Zongnan Hu , Sol Maria Halleck Vega , Shijin Qu , Shougeng Hu","doi":"10.1016/j.apgeog.2026.103902","DOIUrl":"10.1016/j.apgeog.2026.103902","url":null,"abstract":"<div><div>Urban development in China has increasingly transitioned from isolated growth to cooperative, networked patterns, referred to as “urban networks”. This study investigates the impact of urban networks on economic growth at the county level, addressing the heterogeneity of network effects based on cities’ positions within these networks and accounting for the complex economic interactions among county-level administrative units nested within prefecture-level jurisdictions. The results reveal a highly centralized urban network structure, with most connections concentrated among core cities / peripheral cities linked to these cores. The economic effects of network participation are markedly uneven: cities in the top 10% of network centrality experience significant benefits, whereas others face challenges in achieving growth. To foster greater regional equity, governments should consider a strategy of differentiated urban development. The study proposes calibrating the distribution of incremental construction land quotas to offset disequilibria that may arise from urban network dynamics.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"188 ","pages":"Article 103902"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating urbanization dynamics and road infrastructure development in the African context: A case study of Moroccan territory","authors":"Rachida El-Bouayady , Hicham Bahi , Jerome Chenal , Soukaina Tayi , Salwa Bajja","doi":"10.1016/j.apgeog.2026.103916","DOIUrl":"10.1016/j.apgeog.2026.103916","url":null,"abstract":"<div><div>In the context of rapid urbanization, understanding how urban growth interacts with infrastructure development, particularly the expansion of road networks, is crucial for sustainable regional planning. Roads are central to supporting urban expansion and achieving the UN's Sustainable Development Goals, notably SDGs 9.1 and 11.2. Addressing a key gap in the literature, which often conceptualizes urbanization solely as population growth, this study constructs a composite index to capture its multidimensional aspects, including geographic, socio-economic, demographic, and infrastructural dimensions, across Moroccan provinces. Unlike most studies that view roads as a driver of urbanization, this research analyzes how urbanization shapes road network development over the 2008–2018 period through regression analysis. Results reveal that provinces with rapid land use change and high population density exhibit significantly higher road network densities. A 10 % increase in land use change is linked to a 4.2 % rise in road density, while a similar rise in population density corresponds to a 3.5 % increase. These results predominantly support the economic theory of urbanization, while the unequal distribution of road networks illustrates pronounced urban-bias effects. Conversely, regions characterized by higher unemployment and lower literacy rates experience infrastructure deficits. Overall, the findings underscore the need to align infrastructure investments with urban pressures to enhance connectivity and reduce spatial inequality. The study highlights marked regional disparities, emphasizing the importance of spatially targeted planning to foster equitable and sustainable urban development.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"188 ","pages":"Article 103916"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}