{"title":"Effectiveness of experiential practice on environmental awareness and pro-environmental behavior: evidence from junior high school students in Toride City, Japan","authors":"Shingo Fujii, Kiyokazu Ujiie, Takeshi Mizunoya","doi":"10.1007/s41685-026-00446-5","DOIUrl":"10.1007/s41685-026-00446-5","url":null,"abstract":"<div><p>This study verified the effects of “experiential practice” and “visualizing” carbon dioxide reduction on the transformation of junior high school students' environmental awareness and pro-environmental behavior (PEB). We sought to propose measures for sustaining high environmental awareness and choice of appropriate actions. Based on a specific case study from the “Toride City Sustainable Learning Project” in Toride City, Ibaraki Prefecture, the following 2 hypotheses were tested: (1) combining knowledge acquisition with experiential practice effectively sustains PEB, and (2) enhancing responsibility yields the greatest outcomes. A comparative analysis was conducted between School B (knowledge-focused classes) and School A (4 -week decarbonization training program with carbon dioxide [CO₂] calculations). Results showed that School A had action implementation rates that were 2.0–3.4 times higher than those of School B for electricity conservation, water conservation and food waste reduction. Regression analysis revealed that “awareness of responsibility” was a statistically significant factor in sustaining PEB. Text mining indicated that School A students linked daily actions to quantifiable CO₂ reductions, enabling them to perceive global challenges as “personal issues” and recognize their roles. These findings suggest that behavioral change in lower secondary students occurs when they move beyond knowledge acquisition by gaining fresh insights through “visualizing decarbonization” and developing a sense of ownership and responsibility. We propose environmental education programs that guide students from “knowledge” to “behavioral reinforcement” through continuous experiential practice, thereby fostering ownership and responsibility.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s41685-026-00446-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098496","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":"People and place research for people and place based policies: a study of professional well-being of alumni of North Kazakhstan with Generalized Q Analysis","authors":"Tomaz Ponce Dentinho, Alnur Valiev, Maira Valieva, Altyn Iskakova, Dinmukhammed Shaikin","doi":"10.1007/s41685-026-00443-8","DOIUrl":"10.1007/s41685-026-00443-8","url":null,"abstract":"<div><p>This study aimed to show why people and place-based policies should be grounded on people and place research, using Generalized Q Analysis, and shift the focus of the research from the features of observed entities on the study of entities associated with combined and evident features of people and places. For the present study “people and places” were recent alumni from the University of North Kazakhstan. The “people and place-based policies” were programs of English proficiency and international mobility provided by the University. The literature links regional development with human capital and professional wellbeing, as well as English proficiency and international mobility. First, to test this hypothesis we used a regression relating professional wellbeing of 1250 alumni with their places of origin, gender, marks, sector of employment, English proficiency and international mobility, but no major evidence was achieved. Then, to test people and places that have higher professional wellbeing, following a Generalized Q Analysis 1250 alumni from the University of North Kazakhstan were explained analyzed by 10 profiles. On the one hand, directly related with professional wellbeing and, on the other hand, clustered and related with professional wellbeing using differences and differences regression. Results indicated that people with English proficiency did not have higher professional well-being because English was not useful for existing follow-up studies and for more common employment. Alumni with professional wellbeing were male, self-employed, urban or rural that participated in student mobility activities most probably in a Russian speaking language environment. This clearer evidence justifies more attention to people and place-based approaches for people and place-based policies.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s41685-026-00443-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148926922","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":"Livelihood vulnerability of rice-cultivating households under climate variability in the Mekong Delta, Vietnam","authors":"Anh Phuong Nguyen, Takeshi Mizunoya","doi":"10.1007/s41685-026-00444-7","DOIUrl":"10.1007/s41685-026-00444-7","url":null,"abstract":"<div><p>Climate change has led to reduced yields, land loss and lower incomes among rice-cultivating households in the Mekong Delta (MD). However, large-scale, multi-year studies examining household vulnerability in this region remain limited. This study aimed to determine the vulnerability status of these households to climate stress between 2018 and 2022 and to evaluate the contributing factors. The adjusted livelihood vulnerability index (ALVI), which reflects recent advances in the understanding of climate change vulnerability, was used to assess vulnerability using data from the Vietnam Household Living Standards Survey for 2018, 2020 and 2022. The results showed that the ALVI of rice-cultivating households in the MD ranged from 0.412 to 0.422 between 2018 and 2022, indicating that these households were moderately vulnerable to the negative impacts of climate variability. The most vulnerable component was the natural component in 2018, which shifted to the financial component in 2022. Low crop diversity, substandard housing, low rice profitability, limited educational attainment among household heads, and insufficient institutional support were the main factors influencing the vulnerability of rice households in the MD. Additionally, rice-cultivating households in Ca Mau, Kien Giang and Ben Tre Provinces were the most vulnerable to climate variability, with ALVI ranging from 0.411 to 0.478 during the period 2018 to 2022. These findings provide valuable insights into climate vulnerability in the MD and imply targeted, issue-specific interventions for rice-farming households in the MD, particularly those in coastal areas. Such interventions can reduce vulnerability and provide a reference for policymakers developing effective adaptation strategies in the context of climate change.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s41685-026-00444-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148926237","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":"Determinants of green production behavior among Bangladeshi farmers in an era of commercial agriculture","authors":"Shovan Nasim Haider, Miloslava Chovancova","doi":"10.1007/s41685-026-00445-6","DOIUrl":"10.1007/s41685-026-00445-6","url":null,"abstract":"<div><p>Transitions to sustainable agriculture demand a nuanced understanding of the psychological, normative and contextual factors driving farmer adoption of environmentally responsible practices. This study integrated the Theory of Planned Behavior (TPB), Value-Belief-Norm (VBN) theory, and Diffusion of Innovations (DOI) theory to examine the determinants of Green Production Behavior (GPB) among 424 farmers in northwestern Bangladesh, using Partial Least Squares Structural Equation Modelling (PLS-SEM) with multi-group analysis to account for regional heterogeneity. The findings revealed that Knowledge and Perceived Behavioral Control are the primary drivers of GPB, with Knowledge channeling its influence through Perceived Behavioral Control (PBC) and positive attitudes. Contrary to theoretical expectations, Environmental Beliefs, Personal Norms and Subjective Norm were non-significant predictors, suggesting that moral and social motivations are superseded by pragmatic capability assessments in contexts of economic precarity and rapid commercialization. Commercial Orientation exhibited a dual role: a direct negative effect on GPB, but a positive moderating effect on the intention-behavior relationship, indicating that commercially empowered farmers are more effective at executing sustainable intentions. Measurement Invariance of Composites (MICOM) analysis confirmed full compositional invariance. The Multi-Group Analysis (MGA) revealed regional differences: Knowledge had a stronger effect on Attitude in Rangpur (β = 0.501) than in Rajshahi (β = 0.247), though the difference was not statistically significant. These findings challenge the universal applicability of VBN theory in developing economy contexts and advocate for capacity-building interventions over awareness-raising campaigns. The results contribute to regional science by demonstrating that behavioral determinants of GPB are embedded within spatially structured processes of market integration and infrastructure development.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148926236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Energy transition and ecological resilience in China: nonlinear distributional evidence from Quantile-on-Quantile and Kernel-Based Regularized Least Squares Models","authors":"Busra Agan Celik","doi":"10.1007/s41685-026-00442-9","DOIUrl":"10.1007/s41685-026-00442-9","url":null,"abstract":"<div><p>Understanding the regional dynamics of ecological resilience is central to achieving sustainable development in rapidly transforming economies. In the context of China’s ongoing energy transition, this study investigated the nonlinear and distributional effects of nuclear energy consumption, economic growth, technological innovation and environmental governance on ecological resilience, proxied by the Load Capacity Factor (LCF). By employing a Quantile-on-Quantile Regression (QQR) framework, complemented by conventional Quantile Regression (QR) and Kernel-Based Regularized Least Squares (KRLS), the analysis captured heterogeneous relationships across different states of both explanatory variables and ecological conditions. The findings revealed pronounced distributional asymmetries in the energy–environment nexus. Nuclear energy presented heterogeneous and regime-dependent effects, displaying both positive and negative impacts across quantile combinations, while positive effects became more prevalent under higher levels of nuclear energy deployment and ecological resilience. In contrast, economic growth exerted a persistent negative influence across the distributions. Technological innovation showed predominantly negative and transitional effects across ecological regimes. Environmental governance emerged as a key regional driver, with stronger positive effects observed at higher institutional quality levels. These findings underscore the importance of region-specific and governance-driven policy frameworks in strengthening ecological resilience and facilitating low-carbon energy transitions, while contributing to the regional science literature by offering distribution-sensitive insights into the energy–environment nexus with policy-relevant implications for achieving Sustainable Development Goals (SDG) 7, SDG 12 and SDG 13.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148782372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kathleen Mae Auxtero, Shubham Anil Gade, Marco Kemperman, Muhammad Yaseen, Malay Pramanik, Phantipa Plangklang, Long Hoang, Ly Quoc Dang, Spyridon Paparrizos, Uthpal Kumar, Avishek Datta, Sushil Kumar Himanshu
{"title":"Farmer intentions to continuously use mobile apps for agrometeorological and agronomic advisory services: technology continuance theory model analysis on user feedback in Vietnam and Thailand","authors":"Kathleen Mae Auxtero, Shubham Anil Gade, Marco Kemperman, Muhammad Yaseen, Malay Pramanik, Phantipa Plangklang, Long Hoang, Ly Quoc Dang, Spyridon Paparrizos, Uthpal Kumar, Avishek Datta, Sushil Kumar Himanshu","doi":"10.1007/s41685-026-00441-w","DOIUrl":"10.1007/s41685-026-00441-w","url":null,"abstract":"<div><p>This study examined user feedback from smallholder farmers in Nakhon Phanom, Thailand, and Can Tho, Vietnam, to identify factors that influence their intentions to continue using ClimaFarm, a mobile application providing agrometeorological forecasts and agronomic advisory services. Data were collected from 151 farmers with prior ClimaFarm usage and analyzed with an adapted Technology Continuance Theory framework and Partial Least Squares Structural Equation Modeling. The results revealed that continuance was significantly influenced by perceived usefulness (β = 0.261, <i>p</i> < 0.01), trust (β = 0.280, <i>p</i> < 0.01), satisfaction (β = 0.251, <i>p</i> < 0.05) and attitude (β = 0.247, <i>p</i> < 0.05), while household income showed a significant negative association (β = − 0.161, <i>p</i> < 0.05). Although most farmers remained active users, their reported challenges and reasons for discontinuing use included interface and language barriers, concerns about forecast accuracy and connectivity limitations, suggesting technological and usability barriers rather than a lack of perceived relevance of the advisory information. These findings contribute to post-adoption evaluation of digital agriculture initiatives. By quantitatively determining the factors influencing application usage and offering a relative comparison of their influence, these findings provide a pioneering empirical baseline for digital climate-smart agriculture solutions in Southeast Asia. Insights also offer a clear, evidence-based roadmap for designing and scaling digital advisory tools in climate-vulnerable regions.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Global shocks and food price dynamics in Bangladesh: application of interrupted time series analysis","authors":"Mohammad Chhiddikur Rahman, Mohammad Ariful Islam","doi":"10.1007/s41685-026-00439-4","DOIUrl":"10.1007/s41685-026-00439-4","url":null,"abstract":"<div><p>The COVID-19 lockdown and the subsequent Russia-Ukraine conflict deeply disrupted the economy of Bangladesh, especially agriculture. This study employed an interrupted time series analysis (ITSA) to examine how multiple policy shocks affect wholesale and retail prices, as well as price margins of major food commodities in Bangladesh. Using weekly price data, we analyzed the effects of lockdowns in 2020 and 2021, followed by the Russian invasion of Ukraine in 2022. Results showed heterogeneous price margin effects across commodities and intervention periods. While domestically produced items like rice, eggs, onions and potatoes remained relatively stable during the pandemic and the early stages of war, import-dependent commodities—including flour, maize, lentils (mosur) and edible oil—experienced significant price jumps. During lockdown, the increases in wholesale prices were well transmitted to the retail level. The coarse rice retail price rose by 49.9%, medium-grain by 38.8%, and fine-grain by 24.3%. Flour and maize saw hikes of 27.6% and 22.0%. Essential items like mosur, onion, edible oil, egg and potato rose up to 52.2%. In contrast, the Russia-Ukraine war had limited effects on self-sufficient goods (e.g., rice, onion, egg), but import-dependent items were hit hard: flour rose 36.8%, maize 25.5%, mosur 17.1%, and edible oil 31.2%. These trends underscore how domestic production shapes vulnerability to global shocks. In response, the Government of Bangladesh implemented welfare and incentive programs to mitigate the shocks. Overall, the 2021 lockdown was managed more efficiently than in 2020, allowing greater access to essential goods and services, transportation and other conveniences. Based on these insights, we recommend policies to strengthen supply chain resilience against future global crises. Furthermore, policies to enhance the supply chain responsiveness and resilience to future pandemics, global crisis and natural disasters are suggested, given the lessons learned from the COVID-19 lockdown and Russia-Ukraine war.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Eco-tourism potential zonation for sustainable tourism development in Jangal Mahal, Eastern India using GIS and machine learning","authors":"Samu Lohar, Somnath Rudra","doi":"10.1007/s41685-026-00437-6","DOIUrl":"10.1007/s41685-026-00437-6","url":null,"abstract":"<div><p>Uncontrolled mass tourism has led to severe environmental degradation such as waste generation, air and water pollution, loss of Biodiversity, overcrowding, noise, etc., particularly in developing countries like India. To address this, identifying suitable zones for sustainable eco-tourism is crucial so that the negative effects of mass tourism can be minimized by implementing eco-friendly practices rather than conventional tourism models. For this, the current study employed Remote Sensing (RS) and GIS-based machine learning models—Decision Tree (DT), Support Vector Machine (SVM), and Random Forest (RF)—to assess Eco-Tourism Potential Zones (ETPZ) in Jangal Mahal, West Bengal, India, using 14 conditioning parameters. The analysis identified 28 high-potential sites in Purulia, 14 in Jhargram, 11 in Bankura and 6 in Paschim Medinipur, emphasizing natural and cultural attractions. Key influencing factors included forest, geo-sites, waterbodies, elevation and rural areas. Model performance was validated using Receiver Operating Characteristic (ROC), Kappa coefficient and proximity test, with RF outperforming DT and SVM. A strategic framework is proposed following the United Nations World Tourism Organization’s (UNWTO) principles of sustainable tourism development to aid policymakers, tourism planners, and stakeholders in promoting sustainable tourism aligned with Sustainable Development Goals (SDGs) 8, 11, 12, 13, and 15.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148613642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Institutional perceptions of attractiveness in ayurvedic wellness tourism: evidence from Kerala","authors":"Aswathy Prasad, Dayana Das, K Vinodkumar","doi":"10.1007/s41685-026-00440-x","DOIUrl":"10.1007/s41685-026-00440-x","url":null,"abstract":"<div><p>Ayurveda-based wellness tourism has emerged as a key segment of global health travel, with Kerala positioned as the leading destination. Despite extensive policy support and accreditation frameworks, limited empirical research examines how Ayurveda tourism institutions perceive the factors that make destinations and service providers attractive to wellness tourists from a supply-side perspective. Addressing this gap, the present study examined the institutional perceptions of Ayurveda tourism providers in Kerala regarding attributes considered crucial for attracting both domestic and international wellness tourists. Using survey data from 50 Ayurveda tourism institutions across Kerala’s major tourism zones, we employed Exploratory Factor Analysis, supported by non-parametric tests (Mann–Whitney U and Kruskal–Wallis). Grounded in Push–Pull Theory and the Service Quality (SERVQUAL) framework, the analysis identifies two dominant dimensions of perceived institutional attractiveness. Wellness Infrastructure & Experience Design and Access, Promotion & Service Credibility, together explained 78.7% of total variance. Results indicated strong institutional consensus on the primacy of promotion, practitioner qualification and experiential infrastructure. Contrary to policy expectations, perceptions of attractiveness did not differ significantly across accreditation levels or geographic zones, suggesting that the existing certification scheme functions more as baseline quality assurances than as effective differentiation mechanisms. By foregrounding institutional perceptions rather than direct tourist evaluations, this study advances wellness tourism literature beyond tourist satisfaction narratives and offers evidence-based insights for policymakers and practitioners. The findings emphasize the need to recalibrate accreditation frameworks, strengthen promotional visibility, and prioritize integrated experience design to enhance Kerala’s global competitiveness in Ayurvedic wellness tourism.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148613591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Regional attractiveness and the geography of foreign direct investment in Mexico under global production shifts","authors":"Alejandra Trejo Nieto","doi":"10.1007/s41685-026-00435-8","DOIUrl":"10.1007/s41685-026-00435-8","url":null,"abstract":"<div><p>This study examined how territorial attractiveness shapes the geography of foreign direct investment (FDI) across Mexican states in a context of global production shifts, including reshoring and nearshoring dynamics. Using an Organisation for Economic Co-operation and Development (OECD)-based analytical framework and subnational data for 2015–2022, it evaluates the attractiveness dimensions that shape the spatial distribution of foreign direct investment (FDI). The analysis provided insights into the uneven geography of foreign investment in a country that has become a strategic destination amid North American supply chain realignment. While Mexico can benefit from reshoring dynamics, not all of its regions are equally positioned to gain from these global shifts. The results revealed sharp territorial contrasts: some regions were well positioned to capitalise on these opportunities, whereas others—especially those historically marginalised—remained behind. In conclusion, the study underscores both the potential and the limitations of international relocation as a tool for balanced regional development and calls for more deliberate strategies to promote inclusive territorial integration. This will contribute to debates on regional disparities, FDI geography, and the restructuring of global value chains in emerging economies.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"10 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148465187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}