Emotions are now considered critical elements of a successful education. In English as a Foreign Language context, there are many challenges for teachers to deal with. Hence, it is necessary to take their emotions into consideration. Despite many studies in this area, researching teachers’ positive mood, hope, and academic buoyancy has been left less attended. Trying to introduce this line, the present study reviewed the definitions, related concepts, theories, and previous studies done on these three variables in detail. It also (...) touched upon the origins of researching emotion in educational contexts describing different schools of psychology. Additionally, the study offered some practical implications for EFL teachers, students, policy-makers, teacher trainers, and researchers. Finally, it enumerated the existing gaps in this area and made a number of research suggestions for future research. (shrink)

While previous studies have examined the negative effects of work-related smartphone use after hours, little is known about whether and how it influences employees’ unhealthy sleep behavior. Drawing on the ego depletion theory, this study explored the effects of work-related smartphone use after hours on bedtime procrastination. To further uncover potential cross-cultural differences, a sample of 210 public employees from the United States and 205 public employees from China were used. Results via path analysis revealed that off-time work-related smartphone use (...) positively influenced bedtime procrastination via the mediating role of self-control depletion. These findings were consistent between the United States and Chinese sample; however, off-time work-related smartphone use after hours increased the likelihood of self-control depletion more strongly in the United States than in China. The implications of our findings for both theory and practice were discussed. (shrink)

As one of the basic manufacturing industries in China, injection molding industry is faced with the problems of low degree of informatization and intelligence, resulting in low production efficiency and high costs. It is urgent to integrate deeply with new generation of information technology to achieve transformation and upgrade. In this paper, an integrative industrial Internet architecture of “integration of intelligent equipment, intelligent production lines, intelligent workshops, intelligent factories, and intelligent formats” was described. The injection molding intelligent control system, the (...) production management, control platform based on the MES system, and other key technologies were researched. Also, the smart factory architecture based on digital twin was established, and the implementation method of the smart factory digital twin system was elaborated. The feasibility and effectiveness of the method had been verified through the industrial application, which provided the technical supports for the injection molding industrial Internet system. Finally, the intelligent manufacturing industrial Internet cloud platform for injection molding industry was prospected. (shrink)

In the current performance evaluation works of commercial banks, most of the researches only focus on the relationship between a single characteristic and performance and lack a comprehensive analysis of characteristics. On the other hand, they mainly focus on causal inference and lack systematic quantitative conclusions from the perspective of prediction. This paper is the first to comprehensively investigate the predictability of multidimensional features on commercial bank performance using boosting regression tree. The dimensionality in the financial-related fields is relatively high. (...) There are not only observable price data, financial fundamentals data, etc., but also many unobservable undisclosed data and undisclosed events; more sources of income cannot be explained by existing models. Aiming at the characteristics of commercial bank data, this paper proposes an adaptively reduced step size gradient boosting regression tree algorithm for bank performance evaluation. In this method, a random subsample sampling is performed before training each regression tree. The adaptive reduction step size is used to replace the reduction step size setting of the original algorithm, which overcomes the shortcomings of low accuracy and poor generalization ability of the existing regression decision tree model. Compared to the BIRCH algorithm for classification of existing data, our proposed gradient boosting regression tree algorithm with adaptively reduced step size obtains better classification results. This paper empirically uses data from rural banks in 30 provinces in China to classify the different characteristics of rural banks’ performance in order to better evaluate their performance. (shrink)

Teacher education students, as an important reserve in the field of education, their growth and development are related to the future of science, economy, sustainable development of education. Through participation in the educational practice of STEAM, which integrates science, technology, engineering, art, and mathematics is more beneficial for them to acquire 21st century skills like communication, collaboration, learning innovation and critical thinking. However, little has been seen about the use and effectiveness of short videos in STEAM education activities and how (...) they can be used to support and promote teacher education students STEAM learning performance and sustainable inquiry behaviors. Therefore, this study combines the framework of triadic reciprocity determinism theory and technology acceptance theory to propose six research hypotheses and develop a research model to explore the relationship between collaborative self-efficacy, perceived usefulness of short videos, perceived ease of use, STEAM learning performance and teacher education students’ sustainable inquiry behavior. To achieve the purpose of this study, this study used purposive sampling and invited teacher education students from five classes of preschool education at a university in Guangxi Zhuang Autonomous Region, China, to participate in this study. A total of 8 h of instructional guidance was provided over a four-week period, in which participants used short videos for collaborative group learning and independent inquiry and applied STEAM concepts to kindergarten science activities. Participants’ STEAM performance was measured and surveyed during the fourth week. The results of the study validation showed that teacher education students CS-E had a positive effect on the PU and PEOU of short videos; Teacher’s education students PEOU of short videos had a positive effect on usefulness; Teacher’s education students PU and PEOU of short videos had a positive effect on STEAM learning performance; Teacher’s education students’ STEAM learning performance had a positive effect on sustainable inquiry behavior. (shrink)

The whale optimization algorithm is a powerful swarm intelligence method which has been widely used in various fields such as parameter identification of solar cells and PV modules. In order to better balance the exploration and exploitation of WOA, we propose a novel modified WOA in which both the mutation strategy based on Levy flight and a local search mechanism of pattern search are introduced. On the one hand, Levy flight can make the algorithm get rid of the local optimum (...) and avoid stagnation; thus, it is able to prevent the algorithm from losing diversity and to increase the global search capability. On the other hand, pattern search, a direct search method, has not only high convergence rate but also good stability, which can boost the local optimization ability of the WOA. Therefore, the combination of these two mechanisms can greatly improve the capability of WOA to obtain the best solution. In addition, MWOA may be employed to estimate parameters in single diode model, double diode model, and PV modules and to identify unknown parameters of two different types of PV modules under diverse light irradiance and temperature conditions. The analytical results demonstrate the validity and the practicality of MWOA for estimating parameters of solar cells and PV modules. (shrink)

As a mixed-methods research in economics and psychology, this study aimed to analyze the influence from the intergenerational succession on the financialization level including asset financialization and revenue financialization, and further test the moderating effect of the heirs’ typical growing experience according to The Imprinting Theory, based on the 2009–2020 annual data of listed family enterprises of China. There were two key findings. First, the effect of Chinese family enterprises’ intergenerational succession on asset financialization was positively significant while the effect (...) on revenue financialization was not significant, indicating that the financialization behavior has not brought about effective financial profits. Second, among the heirs’ typical growing experiences, their parents’ entrepreneurial experience during their childhood, oversea study experience, and MBA education experience had the significantly positive moderating effects on the influence from intergeneration succession to asset financialization level of Chinese family enterprises, which was an important internal mechanism for the heirs to promote the financialization process of family enterprises. (shrink)

This paper addresses the adaptive asymptotic tracking control problem for nonlinear systems whose virtual control gains are unknown nonlinear functions of system states. Only in the first step, the Nussbaum gain technique is utilized to handle the uncertain virtual control gain. In the remaining steps, virtual control gains are dealt with by constructing novel control laws without the approximation of the uncertain nonlinear functions and external disturbances by neural networks or fuzzy logic. New adaptive laws are defined to compensate for (...) unknown virtual control gains, uncertain parameters, and external disturbances. Finally, an adaptive tracking controller is designed and applied to the control of a 3-order robot system, which guarantees the boundedness of all the signals in the closed-loop system and asymptotic stability of the tracking error. (shrink)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

The preschool education profession often faces many challenges and preschool teachers, as important members of the preschool education profession must respond to a variety of emergencies with young children, which also leads to high levels of job stress and can have a negative impact on their ongoing well-being. Past research has pointed out that a healthy lifestyle is one of the key factors in enhancing sustainable well-being in high-stress work situations and many studies have found that good leisure activity engagement (...) as a healthy lifestyle is associated with higher levels of well-being. However, the relationship between preschool teachers’ leisure engagement and sustainable well-being has been less explored. Therefore, this study proposed seven research hypotheses based on the engagement theory proposed by Fredricks et al. and developed a research model to explore the relationship between three types of leisure engagement, including behavioral, affective and cognitive, and preschool teachers’ job stress and sustainable well-being, using age as a control variable. This study used a cross-sectional web-based questionnaire with a convenience sample of 500 preschool teachers in China. The collected data were analyzed for reliability and validity, model fit testing and structural equation modeling for model validation after removing invalid data and incomplete responses. The results of the study showed that behavioral engagement was not related with either the job stress or sustainable well-being of preschool teachers; Emotional and cognitive engagement were negatively related to job stress but positively related to the sustainable well-being of preschool teachers; and Job stress was negatively related to the sustainable well-being of preschool teachers; Age is an effective control variable. From the above results, it is clear that not all three types of leisure engagement are effective in terms of reducing the work stress of preschool teachers. As well as being related to the sustainable well-being of preschool teachers emotional and cognitive engagement contributed more to sustainable well-being acquisition. (shrink)

本书是国家社会科学基金课题《唐末五代十国儒学研究》的研究成果，该课题以唐末五代十国时期的儒学为研究对象，把儒学范式的转变作为研究的中心问题，着重探讨了在唐宋社会变革的背景下，唐末五代十国时期儒学的范式 转变。本书通过考察唐末五代十国时期儒学核心概念、基本范畴的演进，寻绎出其在历史语境中“惟精惟微”的变化，提出如下观点：唐末五代十国儒学，是“唐宋变革”在学术形态上的重要表现，也是对这一时期社会巨变的思 想回应。唐末五代十国儒学是一种新范式的儒学，显示出由汉唐儒学向宋代儒学嬗变的过渡特点。.

Ben shu zhi zai yong zhe xue yan jiu de fang shi zheng ti lun shu fo xue ti xi. wei le shi pu tong da zhong neng chu kui wan zheng de fo jiao xi tong, zuo zhe fen bie cong fo jiao de ge di yu pai bie,zhe xue si xiang guan dian,si miao jian zhu yi ji fo jing shu ji lun zhu deng fang mian jin xing liao xiang jin de xu shu ji tao lun. shu (...) zhong chu le dui fo jiao wen hua zhi shi de zheng li yu chuan hang, hai hui jie he you zuo zhe zai de zhe xue ji Zhongguo wen hua ling yu zhong di yan jiu cheng guo. ben shu zun zhong zong jiao ben shen, zai xie zuo shou fa shang shi fen yan jin, fo jing ji xue zhe guan dian jie zhi yi yin yong xing shi lie chu, bing bu zuo ping lun ; dui zhuan men de shu yu hui dai you jiao zhu,jian suo shen zhi shi fan wen yuan wen de shuo ming, ke du xing qiang bing yi yu cha yue. (shrink)

[1] Xian Qin juan (shang) -- [2] Xian Qin juan (xia) -- [3] Qin Han juan -- [4] Wei Jin Nan Bei chao juan (shang) -- [5] Wei Jin Nan Bei chao juan (xia) -- [6] Sui Tang Wu dai juan (shang) -- [7] Sui Tang Wu dai juan (xia) -- [8] Song Liao Jin juan (shang) -- [9] Song Liao Jin juan (xia) -- [10] Yuan dai juan -- [11] Ming dai juan (shang) -- [12] Ming dai juan (zhong) (...) -- [13] Ming dai juan (xia) -- [14] Qing dai juan (shang) -- [15] Qing dai juan (zhong) -- [16] Qing dai juan (xia) -- [17] Jin dai juan (shang) -- [18] Jin dai juan (xia) -- [19] Suo yin juan. (shrink)

本书对当前我国企业信用系统的种种危机作了由浅入深的报道,首先介绍了黑心商家诚信丧失、引发食品信任危机,接着介绍了黑洞事件触目惊心,中国股市诚信难寻等内容。.

本书试图立足礼学的思想,以“知通统类”为核心,对旬子的人学思想作一系统的动态分析。.

本书以近代文明冲突为视角,通过对梁漱溟与陈序经这样两个思想极端对立的代表性人物的比较研究,对中国伦理社会的历史由来、内在特质、近代考验、未来可能等作了一番梳理,并对中国传统文化的出路等问题作了进一步的 认识和思考 --.

本书分四编,约40万字,收录了国内美学界数十位知名专家、学者的论文,涉及转型期中国美学理论建构和学科前景、当下美学的问题及其转机、文化资源利用与美学的策略等多方面内容,在多层面分析中国社会文化转型的现 实问题、多视角解读当下语境中中国美学理论课题与建构难点的基础上,围绕如何看待和解决转型期中国美学面临的困境与问题,提出了富有理论深度和学术建设性的意见,集中展示了当前中国美学界对“ 转型期中国美学问题”的思考策略和思考深度.

本书充分利用西周金文与传世文献史料，围绕宗教、伦理、政治互动的主线，对西周的孝友等血缘伦理思想，以及德、敬、肃、恭、勤、雍、和等政治伦理思想与善恶评价思想进行宏观与微观的深入探讨。在西周与古埃及的比较 研究中，彰显西周“伦理思维发达”这一重要特征，并以双方族群格局差异为切入点，深入探讨这一重要特征之成因。在西周与后世的比较视野下，围绕西周基本社会制度的伦理影响，深入探研西周的“德治”思想及其“层级推 衍治理”思想，从而揭示西周伦理政治思想的主要时代特征。.

本书以通俗白话的形式演绎深奥的哲学问题,对于哲学定义、古人与哲学、世界观、哲学的分支等论题进行论述。.

本书将佛学中一些大师们重点强调的智慧闪光点重新编创,内容包括:活一天就要有一天的意义、感情上的事不可太执着、该出手时便出手、生在红尘中便忙人间事等。.

This essay develops an inferential account of model explanation, based on Mauricio Suárez’s inferential conception of scientific representation and Alisa Bokulich’s counterfactual account of model explanation. It is suggested that the fact that a scientific model can explain is essentially linked to how a modeler uses an established model to make various inferences about the target system on the basis of results derived from the model. The inference practice is understood as a two-step activity, with the first step involving making (...) counterfactual statements about the model itself and the second step involving making hypothetical statements transferring over claims derived from the model onto the target. To illustrate how this two-step activity proceeds, an agent-based simulation model is discussed. (shrink)

Current work in language models (LMs) helps us speed up or even skip thinking by accelerating and automating cognitive work. But can LMs help us with critical thinking -- thinking in deeper, more reflective ways which challenge assumptions, clarify ideas, and engineer new concepts? We treat philosophy as a case study in critical thinking, and interview 21 professional philosophers about how they engage in critical thinking and on their experiences with LMs. We find that philosophers do not find LMs to (...) be useful because they lack a sense of selfhood (memory, beliefs, consistency) and initiative (curiosity, proactivity). We propose the selfhood-initiative model for critical thinking tools to characterize this gap. Using the model, we formulate three roles LMs could play as critical thinking tools: the Interlocutor, the Monitor, and the Respondent. We hope that our work inspires LM researchers to further develop LMs as critical thinking tools and philosophers and other 'critical thinkers' to imagine intellectually substantive uses of LMs. (shrink)

We empirically examine the impact of corporate social responsibility (CSR) on CEO compensation using a large sample of the US firms from 1996 to 2010. We develop and test two hypotheses, the overinvestment hypothesis based on agency theory and the conflict–resolution hypothesis based on stakeholder theory. We find that the lag of CSR adversely affects both total compensation and cash compensation, after controlling for various firm and board characteristics. Our estimates show that an interquartile increase in CSR is followed by (...) a 4.35% (2.78%) decrease in total (cash) compensation. We also find an inverse association between lagged employee relations and CEO compensation. Our results are robust to the correction for endogeneity using instrumental variable approach. Taken together, our results support the conflict–resolution hypothesis, but not the CSR overinvestment argument. (shrink)