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Teacher well-being is a prominent issue in policy and public debates. Those teachers working in private schools deserve concern given concerns about their working environment. Focus of this study: to learn about the level and main characteristics of teacher well-being in private schools and to explore the impact of working environment on their well-being. Methodology: The data were collected via an online questionnaire among 1161 language teachers at 58 China's private colleges in 22 provinces, and were quantitatively analyzed with SPSS 23.0. Findings: These teachers have an intermediate level of overall well-being. Performance evaluation, student academic foundation, and pressure of research work are the main negative impacting factors; while social support from leaders and colleagues, work autonomy, training and development opportunities, and appraisal feedback guide are key resources enhancing their well-being. Discussions: The impacting factors of working environment on teacher well-being in private schools are unique due to the special scenarios. Implications: The results of this study may apply to similar private schools, suggesting pertinent stakeholders to take targeted measures, to guarantee enough economic input into running school, and to put democratic and professional leadership into practice for promoting teacher well-being in the private education sector.

AbstractClimate may significantly affect human society. Few studies have focused on the temperature impact on residents' health, especially mental health status. This paper uses 98 423 observations in China to study the relationship between temperature and health, based on the China Family Panel Studies survey during 2010–16. We analyze the health effects of extreme hot and cold weather and compare the effects under different social demographic factors including gender, age, and income. We find that temperature and health status exhibit a nonlinear relationship. Women and low-income households are more likely to be impacted by extreme cold, whereas men, the elderly, and high-income households are more sensitive to extreme heat. Our results highlight the potential effects of extreme temperatures on physical and mental health and provide implications for future policy decisions to protect human health under a changing climate.

As governments promote greatly the Public Private Partnerships (PPPs) to develop the Public Rental Housing (PRH) projects, the effective and efficient operation performance measurement should be pivotal for ensuring the success and sustainable development of these projects. Thus, this paper investigated operation performance indicators (OPIs) and measured the performance level of PRH PPP projects by fuzzy-analytic hierarchy process (AHP) comprehensive evaluation (FACE) method. Four important aspects of PRH PPP projects related to the operation performance and an evaluation indicator system of 21 OPIs from these four aspects were developed, the weights of which were calculated by using the AHP method. Based on fuzzy mathematics and the expert evaluation method, all the OPIs were quantitatively graded according to five ranks of evaluation criteria. Membership functions, weights of OPIs, and maximum membership degree principle were utilized to establish a multi-level FACE model for operation performance measurement of PRH PPP projects. One PRH PPP project of Nanjing, Jiangsu Province in China was chosen as the case study. Evaluation results were derived from the proposed model, and they generally conform to the actual situation. This study provides an effective operation performance measurement framework for PRH PPPs projects.

As governments promote greatly the Public Private Partnerships (PPPs) to develop the Public Rental Housing (PRH) projects, the effective and efficient operation performance measurement should be pivotal for ensuring the success and sustainable development of these projects. Thus, this paper investigated operation performance indicators (OPIs) and measured the performance level of PRH PPP projects by fuzzy-analytic hierarchy process (AHP) comprehensive evaluation (FACE) method. Four important aspects of PRH PPP projects related to the operation performance and an evaluation indicator system of 21 OPIs from these four aspects were developed, the weights of which were calculated by using the AHP method. Based on fuzzy mathematics and the expert evaluation method, all the OPIs were quantitatively graded according to five ranks of evaluation criteria. Membership functions, weights of OPIs, and maximum membership degree principle were utilized to establish a multi-level FACE model for operation performance measurement of PRH PPP projects. One PRH PPP project of Nanjing, Jiangsu Province in China was chosen as the case study. Evaluation results were derived from the proposed model, and they generally conform to the actual situation. This study provides an effective operation performance measurement framework for PRH PPPs projects.

To resolve long-standing discrepancies in the relationships among genera within the ant subfamily Formicinae, a phylogenetic study of Chinese Formicine ants based on three mitochondria genes (Cyt b, COI, COII) was conducted. Phylogenetic trees obtained in the current study are consistent with several previously reported trees based on morphology, and specifically confirm and reinforce the classifications made by Bolton (1994). The tribes Lasiini, Formicini, Plagiolepidini and Camponotini are strongly supported, while Oecophyllini has moderate support despite being consistent across all analyses. We have also established that the genus Camponotus and Polyrhachis are indeed not monophyletic. Additionally, we found strong evidence for Polyrhachis paracamponota, as described by Wu and Wang in 1991, to be corrected as Camponotus based on molecular, morphological and behavioral data.

In order to reduce the effects of global warming, governments of leading economies started to provide various incentives for supporting the adoption of new energy vehicles (EVs). Albeit important, limited scholars tried to investigate the influential factors. Thus, this study aims to derive the factors influencing the adoption of (EVs). This research will use the decision making trial and evaluation laboratory (DEMATEL) as a research method to predict the factors being related to consumer intentions and behaviors. Taiwanese experts of EVs will be invited for providing opinions. Based on the empirical results, the subsidies for new EVs and the number of charging piles play the most dominant roles. The results can serve as a basis for predicting consumer acceptance of new EVs in the future.