作者机构：
[Long, Xiaojie; Tang, Hongjiu] Hunan Agr Univ, Coll Landscape Architecture & Art Design, Changsha, Peoples R China.;[Tang, Hongjiu] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou, Peoples R China.;[Liu, Zhaoyin] Hunan Agr Univ, Coll Resources & Environm, Changsha, Peoples R China.
摘要：
This study examines farmers' intentions towards pro-environmental behavior in a famous tourist village in China called Guanshan, whose ecological environment is polluted. By adopting the empirically validated norm activation model (NAM) of Schwartz and merging it with Vroom's expectancy theory, the current research aims to develop a refined framework for understanding the formation of and predicting changes in pro-environmental intention. Field surveys were conducted in Guanshan, which resulted in sample data consisting of 275 valid responses collected by the research team. We develop a refined model, including six latent variables and 24 observational items. The structural equation modeling results show that the final model enjoys a better predictive accuracy of pro-environmental intention than does the original NAM. The study also discovers that the motivational force of expectancy theory significantly influences pro-environmental intention, whose motivational force comes from the impact of valence and expectancy. The pro-environmental intentions of farmers are mainly affected by the environmental personal norm and by a certain degree of personal expectancy. The improvement of farmers' pro-environmental intention needs be promoted in two approaches: the cultivation of personal environmental protection norms and the guidance of producing a desired expectation for pro-environmental intention.
摘要：
Oil price forecasting is one of the most challenging issues since it is noisy, non-stationary, and chaotic. In this paper, we design a Bayesian Nonlinear Quantile method consisting of a Threshold Improved model and an Adaptive MCMC model to improve predicting performance. Specifically, the threshold improve model is introduced to solve the problems caused by the completely asymmetric distribution, and the Adaptive MCMC model is used to get the optimal threshold. Besides, the two-stage framework is applied to improve traditional methods' performance, including the Indirect GARCH model and Asymmetric Slope model. The experimental results show that our approach provides a promising alternative to oil price prediction, and the framework also improve the performance of the traditional methods. The contribution of this paper is to improve the accuracy of the oil price forecasting model, and the framework applies to other energy prices as well. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
关键词：
Investment;Renewable energy sources;Decision making;Fuzzy sets;Bibliographies;Licenses;Companies;Renewable energy investments;incomplete preferences;consensus group decision making;Pythagorean fuzzy sets;balanced scorecard;DEMATEL
摘要：
The aim of this study is to generate appropriate strategies to improve renewable energy investments. Within this framework, a novel model has also been proposed which includes three different stages. Firstly, incomplete preferences of the relation matrixes are calculated. For this purpose, 4 different decision makers evaluate the balanced scorecard-based criteria. In this stage, missing values are estimated by incomplete preferences to complete the relation matrixes. Additionally, the second stage includes the computing the fuzzy preferences by considering the consensus-based group decision-making (CGDM). The final stage is related to the calculation of the weights of the criteria by considering Pythagorean fuzzy decision-making trial and evaluation laboratory (DEMATEL) methodology. Hence, the main motivation of this study is to identify innovative strategies for the renewable energy investments with a novel multi-criteria decision-making (MCDM) model based on incomplete preferences, CGDM and Pythagorean fuzzy sets. The findings indicate that learning and growth is the most important balanced scorecard-based perspective to improve the performance of renewable energy investments. Additionally, the perspective of internal process is identified as another significant factor for this situation. The biggest problem in renewable energy projects is their high initial costs. Hence, technological developments reduce the production costs of renewable energy sources. Additionally, it is also possible to increase the amount of electricity from renewable energy sources owing to the innovative technologies. Thus, renewable energy investors should follow up-to-date technological developments so that it will be possible to reduce the cost of renewable energy investments.
关键词：
Cultural difference;Ensemble coding;In-group vs. out-group faces;Subjective similarity
摘要：
It is well established that ensemble coding is regulated by physical similarity and variance in a set of stimuli. For example, observers are more accurate at judging the mean size of objects in a set if the overall size variance in the set is small. However, sometimes similarity among set members can be purely subjective. For example, faces from another race tend to look more similar than faces from one’s own race. Very little is known about whether such subjective similarity also regulates ensemble coding in the same manner as objective similarity. To investigate this question, we had British and Chinese participants view sets of four faces that were of either own-race or other-race, own-gender or other-gender. After viewing each set the task was to judge whether a test face was presented in the set. Our results showed that, as demonstrated in prior research, participants often mistook a morphed set average to be a member of the set. Critically, this tendency to average a face set was not stronger for other-race faces. Hence contrary to objective similarity, subjectively perceived similarity in the other-race faces does not facilitate ensemble coding. The results in our British group also replicated de Fockert and Gautrey’s (Psychonomic Bulletin & Review 20 (3), 468-473, 2013) own-gender effect, where observers showed more averaging for own-gender faces. However, our Chinese subjects displayed the same level of averaging for both genders. This suggests a cultural difference in ensemble coding, where the own-gender bias may be overridden by a stronger tendency to employ ensemble coding in Chinese participants.
摘要：
BACKGROUND: Few studies exist on sibling bullying or even sibling aggression more generally in the past 30 years. Studies of sibling bullying have shown that sibling bullying may associate with depression, anxiety, self-harm, suicide ideation in early adulthood. Nevertheless, few studies have explored the relationship between sibling victimization types and the occurrence of psychosis, not to mention that psychotic-like experiences (PLEs) always occur before psychotic disorders. Therefore, the current study aims to examine the association between sibling bullying and PLEs among children age 11-16 years in China. METHOD: This is a cross-sectional study which included 3231 students from eight junior middle schools in three cities of Hunan Province, China. Frequency and types of sibling bullying was assessed with Sibling Bullying Questionnaire and PLEs was assessed with Community Assessment Psychic Experiences-42. RESULTS: The percentage of sibling bullying were 12.9% for victimization and 10.8% for perpetration. Sibling bullying plays as an independent influence factor for all subtypes of PLEs, and verbal victimization was the most important risk factor in developing different subtypes of PLEs followed by physical victimization and verbal perpetration. CONCLUSION: The current study found that sibling bullying is associated with PLEs. Intervention programs should be conducted to focus on those children and adolescents who are involved in multiple types of sibling victimization or perpetration.
关键词：
business model innovation;dynamic capability;supply chain business model;tea supply chain;user‐driven innovation
摘要：
This research explores how focal tea companies facilitate supply chain business model innovation (SCBMI) to meet consumer demands and achieve sustainable development. By applying a case study method and dynamic capability theory, we find that: (1) the end-user innovation-driven is the precondition for tea SCBMI; (2) the user-driven innovation leads to the change of the supply chain focal company dynamic capabilities and the tea supply chain network structure, and thus promote the tea SCBMI; (3) SCBMI will, in turn, enhance the focal company's dynamic capabilities and promote the change of tea supply chain network structure in order to meet the consumers' changing demands. Our research suggests that the supply chain should pay attention to the construction of dynamic capabilities and proactively manage supply chain network structure. Ultimately, the entire supply chain business model will continuously adapt to the external changes and achieve sustainable development in the long term.
作者机构：
[Xiao, Pengnan; Zhou, Yong; Li, Xigui] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[Xiao, Pengnan; Zhou, Yong; Li, Xigui] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Li, Xigui] Hunan Agr Univ, Coll Landscape Architecture & Art Design, Changsha 410128, Peoples R China.;[Xu, Jie] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430079, Peoples R China.;[Zhao, Chong] Wuhan Polytech Univ, Sch Chem & Environm Engn, Wuhan 430023, Peoples R China.
关键词：
heavy metals;agriculture land;bibliometric analysis;CiteSpace;VOSviewer;citation analysis;reference co-citation analysis
摘要：
A great amount of negative influence on human existence and environmental protection has been brought on by heavy metal pollution in agriculture soil. Thus, major awareness has been diverted to the evaluation of heavy metals (EHM) in agricultural land, which is used to improve the environment and ensure people's health. Based on 3759 publications collected from the Web of Science Core Collection(TM) (WoS), this paper's aim is to illustrate a comprehensive bibliometric run-through and visualization of the subject of EHM. Contingent on influential authors, top institutions, keywords are discussed in detail. Afterwards, the ruling publications and focal assemblage of EHM and leading publications are analyzed to discover the main research topics, according to citation analysis and reference co-citation analysis. The main motive of the paper is to assist research workers interested in the area of EHM determine the ongoing potential research opportunities and hotspots.
摘要：
Comprehensive evaluation of the sustainability of paddy ecosystems is key to success in paddy ecosystem management. In this research, we propose a novel quantitative method for sustainability evaluation based on the net value of ecosystem services, which consists of a new elasticity-based sustainability evaluation framework for agricultural ecosystems. The sustainability of ecosystems, evaluated through ecosystem elasticity, is reflected in seven measurable indicators within three domains: ecological, which includes the proportion of paddy area, per capita cultivated land area, and annual waste water discharge per capita; economic, which includes the agricultural economy level and urbanization rate; and social, which includes education of farmers and rural medical level. The evaluation approach we propose constitutes an important contribution to sustainability evaluation methodology. We apply the proposed approach to evaluate the sustainability of China?s paddy ecosystems. The results suggest that the overall paddy ecosystem elasticity in China was on the rise in 2009e2017, indicating the weakening of anti interference ability and stability of the paddy ecosystem and the deterioration of paddy ecosystem sustainability. Our results also reveal obvious sustainability imbalance in paddy ecosystems across different regions of China. These findings offer empirical evidence substantiating the urgent need for Chinese governmental initiatives to improve the sustainability of paddy ecosystems, particularly those in the Northeastern region. The findings also necessitate inter-regional collaborations, especially collaborations between adjacent paddy ecosystems, to institute cross-regional standards and policies pertaining to the sustainability of paddy ecosystems. The results from the evaluations of China?s paddy ecosystems may serve as a wake-up call for other countries to assess the sustainability of their own ecosystems using the approach we propose. The findings are also likely to raise the awareness of ecosystem sustainability and its evaluation, and promote global ecosystem sustainability research. ? 2021 Elsevier Ltd. All rights reserved.
关键词：
Adolescents;depressive symptoms;latent class analysis;Center for Epidemiologic Studies Depression Scale
摘要：
Although extensive literature has addressed depression among adolescents, few studies have emphasized the classification features of depressive symptoms in adolescents. To gain insight into the hierarchy and heterogeneity of depression in adolescents based on symptoms, 5086 adolescents completed the Chinese version of the Center for Epidemiological Studies Depression Scale (CES-D). Using Latent Class Analysis (LCA), we identified different subgroups of adolescents based on depressive symptoms. Multivariate logistic regression analysis was implemented to examine the relations between latent classes and demographic covariates. Four latent classes of individuals with depressive symptoms displaying a pattern of hierarchical organization were identified. The four classes were ordered by the degree of severity, ranging from the students reporting the highest number of depressive symptoms to the lowest number: "probable clinical depression", "subthreshold depression", "mild depression" and "low depression", accounting for 8.2%, 19.2%, 41.8% and 30.8% of total sample respectively. Further analyses revealed that compared to the "mild depression" class, the rest of three classes differed significantly across age groups and only child (vs. sibling) status. In conclusion, classifying the groups of adolescents based on features of depressive symptoms is potentially useful for understanding risk factors and developing tailored prevention and intervention programs for this age group.
摘要：
This paper investigates risk spillovers and hedge strategies between global crude oil markets and stock markets. In the paper, we propose a multivariate long memory and asymmetry GARCH framework that integrates state-dependent regime switching in the mean process with multivariate long memory and asymmetry GARCH in the variance process. Our results first show that there are linear risk spillovers running from the US stock markets to the WTI oil market in the short term. However, the linear risk spillover effect running from the oil market to the US stock market can only exist in the long term. In addition, there is a bidirectional linear risk spillover effect between the European stock markets and the Brent oil market in the short and long terms. Furthermore, there is no linear risk spillover effect between the Dubai oil market and the Chinese stock market. Second, the nonlinear risk spillovers running from the WTI oil market to the US stock market can be found in the tranquil regime. Moreover, there is also a nonlinear risk spillover effect running from the European stock markets to the Brent oil market in the tranquil regime. In addition, the nonlinear risk spillover effect running from the Brent oil markets to the European stock market can be found in the crisis regime. Furthermore, there is bidirectional nonlinear Granger causality between the Dubai crude oil market and the Chinese stock market in the tranquil regime. Finally, dynamic hedge effectiveness shows that the regime switching process combined with long memory and asymmetry behavior seems to be a plausible and feasible way to conduct hedge strategies between the global crude oil markets and stock markets.
通讯机构：
[Li, Xiaoma] H;Hunan Agr Univ, Coll Landscape Architecture & Art Design, Inst Educ, Hunan Prov Key Lab Landscape Ecol & Planning & De, Changsha 410128, Peoples R China.
关键词：
spatiotemporal change;pseudo-invariant feature;relative normalization;urban expansion;urban heat island
摘要：
The Landsat land surface temperature (LST) product is widely used to understand the impact of urbanization on surface temperature changes. However, directly comparing multi-temporal Landsat LST is challenging, as the observed LST might be strongly affected by climatic factors. This study validated the utility of the pseudo-invariant feature-based linear regression model (PIF-LRM) in normalizing multi-temporal Landsat LST to highlight the urbanization impact on temperature changes, based on five Landsat LST images during 2000–2018 in Changsha, China. Results showed that LST of PIFs between the reference and the target images was highly correlated, indicating high applicability of the PIF-LRM to relatively normalize LST. The PIF-LRM effectively removed the temporal variation of LST caused by climate factors and highlighted the impacts of urbanization caused land use and land cover changes. The PIF-LRM normalized LST showed stronger correlations with the time series of normalized difference of vegetation index (NDVI) than the observed LST and the LST normalized by the commonly used mean method (subtracting LST by the average, respectively for each image). The PIF-LRM uncovered the spatially heterogeneous responses of LST to urban expansion. For example, LST decreased in the urban center (the already developed regions) and increased in the urbanizing regions. PIF-LRM is highly recommended to normalize multi-temporal Landsat LST to understand the impact of urbanization on surface temperature changes from a temporal point of view.
作者机构：
[Mo, Ping; Zhao, Yunlin; Xu, Zhenggang; Fan, Li] Cent South Univ Forestry & Technol, Hunan Res Ctr Engn Technol Utilizat Environm & Re, Changsha 410004, Peoples R China.;[Yang, Guiyan; Fan, Li] Minist Agr & Rural Affairs, Key Lab Microbial Resources Collect & Preservat, Beijing 100081, Peoples R China.;[Zhao, Weiping] Hunan Agr Univ, Sch Business, Changsha 410128, Peoples R China.;[Xu, Zhenggang; Feng, Wendan; Yang, Guiyan] Northwest A&F Univ, Coll Forestry, Key Lab Natl Forestry & Grassland Adm Management, Xianyang 712100, Peoples R China.;[Mo, Ping] Hunan Univ Arts & Sci, Coll Life & Environm Sci, Changde 415000, Peoples R China.
通讯机构：
[Xu, Zhenggang] C;[Xu, Zhenggang] N;Cent South Univ Forestry & Technol, Hunan Res Ctr Engn Technol Utilizat Environm & Re, Changsha 410004, Peoples R China.;Northwest A&F Univ, Coll Forestry, Key Lab Natl Forestry & Grassland Adm Management, Xianyang 712100, Peoples R China.
关键词：
microbial diversity;bacterial community structure;illumina MiSeq sequencing;mining area soil
摘要：
Soil microorganisms play an important role in regulating a variety of ecological functions. In recent years, the research on ecological restoration after mining has made people more aware of the importance of microbial diversity to ecosystem restoration. The present study investigated the effect of ecological restoration on microbial community structure and its relationship with soil physicochemical properties in the Dabaoshan mining area, China. High throughput sequencing technology was used to analyze and compare the microbial community composition of three types of soil (undamaged area, unrestoration area, and ecological restoration area). The contents of organic carbon, total nitrogen, and total phosphorus were 2.38-12.97 g/kg, 0.39-1.62 g/kg, and 0.99-1.51 g/kg, respectively. In different soil states, undamaged area and ecological restoration area were significantly higher than those in unrestoration area. The results showed that the structure of soil microbial community was significantly correlated with soil physicochemical properties, and formations in the repaired and unrepaired soils were different. Operational Taxonomic Unit (OTU) cluster analysis and diversity index analysis showed that soil microbial community changed at phylum and genus levels. The results showed that at the phylum level, all soil samples contained Firmicutes, Proteobacteria, and actinobacteria. Firmicutes and Proteobacteria of the ecological restoration area (ER1, ER2) were the highest in relative abundance compared with other samples, accounting for more than 45%. Proteobacteria and Acidobacteria were the dominant phylum in the undamaged area (UD), accounting for 32.7% and 22.3%, respectively. It can be seen that soil restoration produced a new dominant population, and Proteobacteria showed an absolute competitive advantage in the mining soil.
关键词：
Knowledge chain management;multiagent technology;distributed artificial intelligence;enterprise knowledge chain management system model
摘要：
Based on the knowledge chain model, this paper focuses on the introduction of multiagent systems. Multiagent systems are also an effective solution for distributed artificial intelligence. Additionally, distributed artificial intelligence has promoted the development of multiple agents. We introduce multiagent technology in distributed artificial intelligence, propose a multiagent-based knowledge chain management system model, discuss the model architecture and the functions of each agent in the model, and study the communication between the agents in the model and collaboration mechanisms. From the perspective of supply chain knowledge and capabilities, the knowledge level among supply chain enterprises is discussed, and a collaborative knowledge chain management model between supply chain enterprises is constructed to provide guidance for achieving collaboration among supply chain enterprises.
作者机构：
[Liu, Min; Zhai, Hui] Kunming Univ Sci & Technol, Fac Architecture & City Planning, Kunming 650500, Yunnan, Peoples R China.;[Liu, Min] Southwest Forestry Univ, Coll Landscape Architecture & Hort Sci, Kunming 650224, Yunnan, Peoples R China.;[Li, Xiaoma] Hunan Agr Univ, Coll Landscape Architecture & Art Design, Changsha 410128, Peoples R China.;[Song, Ding] Kunming Univ Sci & Technol, Campus Greening Ctr, Kunming 650500, Yunnan, Peoples R China.
关键词：
urban public greenspace (UPGS);planning assessment;landscape metrics;plan implementation;monitoring
摘要：
Urban greenspace planning plays a crucial role in improving the quality of human settlements and the living standard of citizens. Urban public greenspace (UPGS) is an important part of urban greenspaces. Existing literature rarely includes a scientific evaluation of greenspace plans (including of UPGS) and plan implementation effects. To bridge this gap, this study evaluated and monitored the UPGS plan enacted in 2010 in Kunming, China. Object-based image classification and visual interpretation of satellite images and Google Earth imagery were used to quantify the different periods of UPGS implementation. Six indicators and monitoring at four classic sites were applied to explore the change at two scales (overall scale and district scale) for monitoring the UPGS plan execution. The results showed that UPGS structure greatly improved after plan implementation. However, UPGS provision per capita has not reached the level of greenspace planning and the connectivity was poor. Significant implementation inequalities existed in each district and implementation has lagged behind schedule. This study contributes to a better understanding of greenspace planning and urban planning in general, which can help improve future planning and planning decisions.
关键词：
pig farmers;epidemic coping behavior;African swine fever;epidemic prevention and control
摘要：
An animal epidemic is a big threat for economic development that may seriously disturb the breeding industry and people’s normal life. The most effective approach so far for epidemic control is biosecurity, zoning, culling animals exposed, and other relevant measures, which highly demands the cooperation of farmers in epidemic areas. However, an uncooperative phenomenon among individual farmers facing an epidemic has been recorded for a long time and includes unwilling to report the epidemic and selling infected pork. It is important to unravel the determinants of farmers’ coping behaviors during an animal epidemic outbreak and use corresponding strategies to reduce farmers’ inappropriate behaviors. Taking African Swine Fever (ASF) crisis as an example, this study aimed to reveal the determinants and underlying mechanism of pig farmers’ coping behaviors. We adopted qualitative interviews with 45 pig farmers across four endemically infected areas in Hunan provinces, and the data collected were subjected to a grounded theory analysis. Our results showed that emergency response, information sources, and information channels jointly affected pig farmers’ epidemic risk perception and their perception of coping behaviors. Meanwhile, both the characteristics of the government and pig farmers moderated this affect. Consequently, by processing information through either a heuristic or an analytical path, pig farmers’ behavioral intention was transformed into actual coping behaviors. Our study emphasizes the value of sufficient risk communication, proper compensation policies, and strong public trust in the government for improving the farmers’ participation in the epidemic response. Theoretical and practical implications to animal epidemic prevention and control are provided.
