Since motivation determines progress in the class, it has a significant role in the field of learning English as a foreign language, contributing to a successful learning process. Therefore, teachers need to motivate learners to achieve their learning goals and provide them with a meaningful learning process in stressful situations. Two factors are required to successfully overcome challenges in scholastic circumstances, such as academic buoyancy and social support. The former can be a significant element in a psycho-educational setting that helps (...) learners with academic difficulties and the latter is another term that is deemed as an important predictor of academic motivation even when considering perceived support from teachers and peers. The functions of academic buoyancy and social support factors in the process of learning and their association with students’ motivation have not been taken into account so far. As a result, this review has implications for scholars, theorists, and practitioners in quest of better investigating and addressing the roles of buoyancy and social support on students’ motivation. (shrink)

Lu Jia's New Discourses: A Political Manifesto from the Early Han Dynasty is a readable yet accurate translation by Paul R. Goldin and Elisa Levi Sabattini. Celebrated as "a man-of-service with a mouth [skilled] at persuasion", Lu Jia (c. 228-140 BCE) became one of the leading figures of the early Han dynasty, serving as a statesman and diplomat from the very beginning of the Han empire. This book is a translation of Lu Jia's New Discourses, which laid out the reasons (...) for rise and fall of empires. Challenged by the new Emperor to produce a book explaining why a realm that was conquered on horseback cannot also be ruled on horseback, Lu Jia produced New Discourses, to great acclaim. (shrink)

Scholars have generally agreed that correlative thinking represents a defining feature of traditional Chinese thought, and their discussions on this enduring mode of thinking have led to a better understanding of the Chinese intellectual and cultural tradition. Although scholars have seldom looked into the causes of the formation of early Chinese correlative thought, some of their discussions have provided inspiration for further investigation.A number of scholars have indicated that the concept of resonance was a fundamental factor in Chinese correlative thinking. (...) For example, both Hellmut Wilhelm and Joseph Needham asserted that, in correlative thinking, order, pattern, and symbolic correlation or.. (shrink)

本书分新书, 疏, 赋三部分, 收录了过秦, 宗首, 数宁, 藩强, 大都, 胎教, 论定制度兴礼乐疏, 旱云赋等.

The relationship between corporate social responsibility and corporate financial performance has long been a central and contentious debate in the literature. However, prior empirical studies provide indefinite conclusions. The purpose of this study is to review systematically and quantify the CSR–CFP link in a meta-analytic framework. Based on 119 effect sizes from 42 studies, this study estimates that the overall effect size of the CSR–CFP relationship is positive and significant, thus endorsing the argument that CSR does enhance financial performance. Furthermore, (...) this work sheds light on the causal relationship between CSR and CFP. Subsequent financial performance is associated with prior social responsibility, while the reverse direction is not supported. This finding supports the instrumental stakeholder theory. As predicted, the meta-analysis results indicate that the measurement strategies of the two key constructs of CSR and CFP explain some variations of the CSR–CFP relationship. Last, this study examines the moderating effect of the environmental context on the CSR–CFP link. This work proposes that CSR in the developed world, with a relatively mature institutional system and efficient market mechanism, will be more visible than CSR in the developing world. The results show that the CSR–CFP relationship is stronger for firms from advanced economies than for firms from developing economies. (shrink)

Easy of learning judgments occur before active learning begins, and it is a prediction of how difficult it will be to learn new material in future learning. This study compared the amplitude of event-related potential components and brain activation regions between high and low EOL judgments by adopting ERPs with a classical EOL judgment paradigm, aiming to confirm the ease-of-processing hypothesis. The results showed that the magnitudes of EOL judgments are affected by encoding fluency cues, and the judgment magnitude increases (...) with encoding fluency; low EOL judgments are associated with higher N400 amplitude at the left superior frontal gyrus and left middle frontal gyrus. High EOL judgments showed enlarged slow-wave potentials than low EOL judgments at the left medial temporal lobe, right ventromedial prefrontal cortex, and dorsolateral prefrontal cortex. Our results support the ease-of-processing hypothesis, particularly, by affirming that EOL judgments are affected by encoding fluency in two processing stages. N400 reflects the process of acquiring encoding fluency cues, while slow-wave indicates that individuals use encoding fluency cues for metacognitive monitoring. (shrink)

Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be articulated in several means that can be seen, like speech and facial expressions, written text, and gestures. Emotion recognition in a text document is fundamentally a content-based classification issue, including notions from natural language processing (NLP) and deep learning fields. Hence, in this study, deep learning assisted semantic text analysis (DLSTA) has been proposed for human emotion detection using big (...) data. Emotion detection from textual sources can be done utilizing notions of Natural Language Processing. Word embeddings are extensively utilized for several NLP tasks, like machine translation, sentiment analysis, and question answering. NLP techniques improve the performance of learning-based methods by incorporating the semantic and syntactic features of the text. The numerical outcomes demonstrate that the suggested method achieves an expressively superior quality of human emotion detection rate of 97.22% and the classification accuracy rate of 98.02% with different state-of-the-art methods and can be enhanced by other emotional word embeddings. (shrink)

The present study investigated the lasting effects of sickness presenteeism on well-being and innovative job performance in the demanding Chinese work context compounded with the precarities of the post-pandemic business environment. Adopting the conservation of resources theory perspective, especially its proposition of compensation of resources, we incorporated social resources at work as joint moderators in the presenteeism–outcomes relationship. We employed a panel design in which all variables were measured twice with 6 months in between. Data were obtained from 323 Chinese (...) employees working in diverse industries in Taiwan. We found that after controlling for the baseline level of well-being, presenteeism did not have a lasting effect on employees' exhaustion. However, presenteeism did have a negative lasting effect on employees' innovative behavior 6 months later. Moreover, we found a significant three-way interaction of presenteeism, supervisory support, and collegial support on employees' innovative job performance, after controlling for the baseline level of performance. Specifically, when working under illness, employees displayed the best innovative performance with high levels of both supervisory and collegial support, the worst performance with both support being low, and the intermediate when any one of the support being high. This can be taken as the preliminary evidence to support the COR proposition of resource caravans, showing that supervisory support and collegial support compensated for each other as critical resources in alleviating the impact of working under sickness on employees' innovative performance. Theoretical implications of the findings are discussed, taking into account the macro-cultural context of the East Asian Confucian societies. We also reflected on the managerial implications of the lasting damages of sickness presenteeism and benefits of mobilizing social resources on employees' well-being and performance. (shrink)

We examine enforcement action in China’s emerging markets by focusing on the agents that impose this action and the role played by supervisory boards. Using newly available databases, we find that supervisory boards play an active role when Chinese listed companies face enforcement action. Listed firms with larger supervisory boards are more likely to have more severe sanctions imposed upon them by the China Security Regulatory Commission, and listed companies that face more severe enforcement actions have more supervisory board meetings. (...) Our findings are of interest, as supervisory boards in China are generally perceived to be dysfunctional. This study contributes to the existing literature in three ways. First, we shed light on the effects of supervisory boards whose role in a fraud setting has not yet been examined. Second, the study has important policy implications for governance reform. Finally, our analyses provide the most up-to-date picture of fraud and governance issues in China’s ever-growing markets. (shrink)

En el siglo pasado el evento más destacado de la historia cubana fue la Revolución de 1959, movimiento social que fue especialmente influyente en la generación que participó en ella, y comenzaba a vivir la postrevolución. En los años ´50 del siglo pasado los cubanos sufrieron un trauma espiritual y físico difícil de superar. Los personajes de Regreso a Ítaca (2016) representan ese periodo, reflejan un micromundo de la situación general de la época. El regreso de España de uno de (...) los personajes provoca una reunión entre cinco amigos en una azotea de La Habana. La discusión entre ellos solo logra revivir la esperanza, al mismo tiempo que la desilusión de su pasado, presente y futuro. Como la obra se presenta bajo la estructura de guion, respeta las tres reglas del teatro, lo que favorece una mirada desde la interpretación teatral. Para este trabajo nos apoyaremos en una perspectiva sociológica y psicológica, a fin de comprender mejor la recreación que Padura y Cantet hacen de la situación general de ese periodo. Nuestro análisis busca mostrar que la intertextualidad entre la literatura y la historia permite entender tanto una época, como las vivencias humanas que tienen lugar en ella, de una manera más vívida. Padura no solo presenta un guion sobre el reencuentro entre cinco viejos amigos, sino que también manifiesta que todos se enfrentan a una reconsideración de las ilusiones perdidas, por y en la Revolución, de una manera dolorosa, pero al mismo tiempo humorística, cáustica e incluso alegre. (shrink)

Background: Ethical challenges are common in clinical nursing practice, and an infectious environment could put nurses under ethical challenges more easily, which may cause nurses to submit to negative emotions and psychological pressure, damaging their mental health. Purpose: To examine the ethical challenges encountered by nurses caring for patients with the novel coronavirus pneumonia (COVID-19) and to provide nurses with suggestions and support regarding promotion of their mental health. Research design and method: A qualitative study was carried out using a (...) qualitative content analysis. The participants were 18 nurses who agreed to attend an interview and describe their own experiences of providing care to COVID-19 patients in China. They were purposively sampled, and structured, in-depth interviews were performed. Data were iteratively collected and analyzed from February to March 2020. Ethical considerations: The proposal was approved by the Research Ethics Committee of the Second Hospital of Shandong University, China. Findings: The findings revealed three main themes and 10 categories. The themes were the following: (1) ethical challenges (people with COVID-19, inequality, professional ethics, and job competency); (2) coping styles (active control and planning, seeking support as well as catharsis, and staying focused); and (3) impacts on career (specialized nursing skills, scientific research ability, and management skills). Conclusion: Nurses faced ethical challenges on multiple fronts in caring for COVID-19 patients. The results may help nurses with more safety, ethics, and humanistic care in nursing practice. (shrink)

Sequences of individual words make up media reports. And sequences of media reports constitute the power of the news media to influence corporate practices. In this paper, we focus on the micro-foundations of news reports to elaborate how an atmosphere of negative news reports following an initial exposure of corporate pollution activity can help stop such activity through their impact on corporate managers. We extend our understanding of the corporate governance effect of news media by considering two new aspects of (...) reports—one, the proportion of words in negative reports relative to the total number of words in all reports; and two, the geographical origin of news media. We suggest that the more negative the media coverage, and the more local this coverage, the greater the impact on corporations. Our study of news media reports from more than 600 newspaper sources on disciplining pollution activities of listed Chinese firms from 2004 to 2012 provides strong support for our hypotheses. These findings have valuable implications for the handling of pollution issues in transitional economies via the power of news words. (shrink)

Background Moral distress, or the inability to carry out what one believes to be ethically appropriate because of constraints or barriers, is understudied in obstetrics and gynecology. We sought to characterize moral distress among Maternal-Fetal Medicine (MFM) fellows using a standardized survey. Methods We disseminated a national anonymized survey study of MFM fellows electronically regarding moral distress using a validated questionnaire with supplemental questions pertaining to specific challenges within MFM clinical care. Multivariable linear regression modeling was used to examine the (...) association between abortion restrictions, maternal mortality, and moral distress, controlling for demographic variables. Thematic analysis was performed for the free text responses elaborating upon moral distress and grouped by thematic elements. We hypothesized that training in states with more abortion restrictions and higher maternal mortality would be associated with higher moral distress scores. Results Among 245 total responses (61% response rate), 177 complete responses (44% complete response rate) were included for analysis. Most of our respondents identified as female (78.5%), White (71.8%), and training in urban programs (83.1%). 37.9% of respondents reported training in the Northeast, with the remainder of respondents evenly distributed across the United States. The mean score for the validated questions was 85.9 ± 48.8, with female gender identity associated with higher measures of moral distress on the validated portion of the questionnaire as compared to male gender identity (90.1 ± 49.2 vs. 70.4 ± 44.7, p < 0.05), whereas more advanced training was associated with higher measures of moral distress on the supplemental questions as compared to those less advanced in training (20.9 ± 11.8 vs. 28.5 ± 15.9 vs. 25.9 ± 15.6 for PGY-5 vs. PGY-6 vs. PGY-7 and PGY-8 combined, respectively, p < 0.05). After adjustment, higher measure of moral distress on the validated questionnaire was associated with training in states designated “Abortion restrictive” as compared to “Abortion most protective” (beta estimate 27.80 and p < 0.01). Of 34 free responses, 65% referred to limitations on abortion access and reproductive justice as causes of significant moral distress. Conclusion MFM fellows who identify as female reported higher measures of moral distress, as well as those training in states with more abortion restrictions. Among free text respondents, abortion restrictions underlie a significant proportion of moral distress. (shrink)

This study examines how the reference-point effect and sunk-cost fallacy interact with stakeholder theory and influence how investors evaluate corporate social performance. We propose that ex-ante (pre-IPO) corporate social performance influences ex-post (post-IPO) perceived riskiness and that this relationship is U-shaped. We also evaluate how CEO duality and company age moderate this U-shaped relationship. Using young and newly public entrepreneurial firms in China, and focusing on stock returns in the secondary market, empirical results and robustness tests provide strong support for (...) our hypotheses. (shrink)

Modal logic S5 is commonly viewed as an epistemic logic that captures the most basic properties of knowledge. Kripke proved a completeness theorem for the first-order modal logic S5 with respect to a possible worlds semantics. A multiagent version of the propositional S5 as well as a version of the propositional S5 that describes properties of distributed knowledge in multiagent systems has also been previously studied. This article proposes a version of S5-like epistemic logic of distributed knowledge with quantifiers ranging (...) over the set of agents, and proves its soundness and completeness with respect to a Kripke semantics. (shrink)

Although previous studies focus on the role of women in the boardroom and corporate response to natural disasters, none evaluate how women directors influence corporate philanthropic disaster response (CPDR). This study collects data on the philanthropic responses of privately owned Chinese firms to the Wenchuan earthquake of May 12, 2008, and the Yushu earthquake of April 14, 2010. We find that when at least three women serve on a board of directors (BOD), their companies’ responses to natural disasters are more (...) significant. Age diversity among women on BODs as well as good corporate profitability (e.g., high earnings per share) positively moderates the relationship between women on BODs and CPDR. (shrink)

While an increasing number of organizations have introduced artificial intelligence as an important facilitating tool for learning online, the application of artificial intelligence in e-learning has become a hot topic for research in recent years. Over the past few decades, the importance of online learning has also been a concern in many fields, such as technological education, STEAM, AR/VR apps, online learning, amongst others. To effectively explore research trends in this area, the current state of online learning should be understood. (...) Systematic bibliometric analysis can address this problem by providing information on publishing trends and their relevance in various topics. In this study, the literary application of artificial intelligence combined with online learning from 2010 to 2021 was analyzed. In total, 64 articles were collected to analyze the most productive countries, universities, authors, journals and publications in the field of artificial intelligence combined with online learning using VOSviewer through WOS data collection. In addition, the mapping of co-citation and co-occurrence was explored by analyzing a knowledge map. The main objective of this study is to provide an overview of the trends and pathways in artificial intelligence and online learning to help researchers understand global trends and future research directions. (shrink)

With the increasing attention to climate change, air pollution, and related public health issues, China’s new energy vehicles industry has developed rapidly. However, few studies investigated the evolution of interorganizational collaborative innovation networks in the sector domain of NEVs and the influence of different drivers on the establishment of innovation relationships. In this context, this paper uses the joint invention patent of Shenzhen, a low-carbon pilot city of China, to investigate the dynamics of network influencing factors. The social network analysis (...) shows that the scale of coinvention network of NEVs is constantly increasing, which is featured with diversified cooperative entities, and collaboration depth is also expanding. The empirical results from the Exponential Random Graph Model demonstrate that, with the deepening of collaborative innovation, technological upgrading caused by knowledge exchange makes organizations in the network more inclined to cognitive proximity and less dependent on geographical proximity. In addition, organizational proximity and triadic closure contribute positively to the collaborative network, with their relevance remaining nearly the same, while the impeding effect of cultural/language difference is slightly decreasing with time. (shrink)

Employee innovation is the cornerstone of the organization, and the motivation for employee innovative behavior largely depends on the leadership style of the leader. With the economic development of society, the traditional authoritative style of leadership can no longer adapt to the psychological characteristics of employees, who use new-era work concepts, techniques, and social rules (hereafter, new generation workers). Inclusive leadership is based on the concept of “fully inclusive and equitable” in traditional Chinese culture, and it can adapt to the (...) independent needs of new generation employees. At present, the research on the relationship between the traditional leadership style and employee innovative behavior is relatively extensive, but there is little research on the relationship between inclusive leadership style and employee innovative behavior, and this needs further exploration. This paper takes new generation employees as the sample and uses psychological capital as an intermediary variable to explore the influence of inclusive leadership style on the innovative behaviors of new generation employees. We found that inclusive leadership is significantly and positively related to new generation employees’ innovative behaviors. Theoretical and practical implications are discussed. (shrink)

Social media platforms have become an important tool for travel advertisement. This study constructs the bounded confidence model to build an improved cross-platform competitive travel advertising information dissemination model based on open and closed social media platforms. Moreover, this study examines the evolution process of group opinions in cross-platform information dissemination with simulation experiments. Results reveal that based on strong relationships, the closed social media platform opinion leaders better guide in competitive travel advertising and can bring more potential consumers to (...) follow. However, being an opinion leader on an open social media platform will not result in more consumer following. (shrink)

At present, integrated energy systems have received extensive attention, but there is no basic framework for stability analysis of coupled systems. The injection of a large amount of renewable energy also has a great impact on the stability of the system. This paper focuses on how to analyze the static stability of the coupling system with uncertainty, which mainly considers the uncertainty of wind power generation and photovoltaic power generation and also considers the influence of P2G technology on the whole (...) system. Firstly, this paper analyzes the principles of wind power generation and photovoltaic power generation and constructs the probability model of renewable energy power generation power. Then, the three-point estimation method is used to process the data, and the probability distribution of the unknown quantity is obtained by probabilistic power flow analysis. Finally, the probability distribution of each eigenvalue is obtained by analyzing the sensitivity of the characteristic roots to the voltage. Thus, the static stability of the system is judged. The applicability of proposed methodology is demonstrated by analyzing an integrated IEEE 14-bus power system and a Belgian 20-node gas system in this paper. (shrink)

Based on social exchange theory and attribution theory, this paper explores the role of affective commitment and organizational support in the relationship between career growth and the engagement of knowledge workers. The results show that career growth has a positive impact on knowledge workers’ organizational engagement; career goal progress and professional ability development promote job engagement; career growth has a positive effect on affective commitment, which in turn influences employee engagement; affective commitment plays a mediating role in the effect of (...) career growth on engagement; and perceived organizational support positively moderates the relationship between career growth and affective commitment. (shrink)

Using agency theory, this study empirically examined the relationship between board composition and corporate philanthropy. Generally, the ratio of insiders to outsiders, the percentage of insider stock ownership, and the proportion of female and minority board members were found to be positively and significantly associated with firms'' charitable contributions.

Abusive supervision negatively affects its direct victims. However, recent studies have begun to explore how abusive supervision affects third parties. We use the emotion-based process model of schadenfreude as a basis to suggest that third parties will experience schadenfreude and increase their work engagement as a response to peer abusive supervision. Furthermore, we suggest that the context of competitive goal interdependence facilitates the indirect relationship between PAS and third parties’ work engagement on schadenfreude. We use a mixed-method approach to test (...) our hypotheses. Data from an experimental study conducted by facial expression analysis technology and a multi‐wave field study generally support our hypotheses. Overall, our study extends PAS literature and meaningfully informs practitioners who aim to promote ethical workplace environments. (shrink)

Enterprise philanthropy is practiced in a very unique and rudimentary form in China. Based on a unique random survey data on 3837 Chinese private enterprises conducted in 31 provinces of China in 2006, I find the significant positive relationship between enterprise philanthropy donation and enterprise profitability, and the result supports the political and institutional power view of enterprise philanthropy in the latest development of China. Simply put, Chinese private enterprises carried out philanthropy activities to better protect property rights and nurture (...) political connections, which in turn, leads to better enterprise profitability. The␣result is even stronger in institutions weaker provinces. (shrink)

A speaker's manner of delivery of an utterance can affect a listener's pragmatic interpretation of the message. Disfluencies influence a listener's off-line assessment of whether the speaker is truthful or deceptive. Do listeners also form this assessment during the moment-by-moment processing of the linguistic message? Here we present two experiments that examined listeners’ judgments of whether a speaker was indicating the true location of the prize in a game during fluent and disfluent utterances. Participants’ eye and mouse movements were biased (...) toward the location named by the speaker during fluent utterances, whereas the opposite bias was observed during disfluent utterances. This difference emerged rapidly after the onset of the critical noun. Participants were similarly sensitive to disfluencies at the start of the utterance and in the middle. Our findings support recent research showing that listeners integrate pragmatic information alongside semantic content during the earliest moments of language processing. Unlike prior work which has focused on pragmatic effects in the interpretation of the literal message, here we highlight disfluency's role in guiding a listener to an alternative non-literal message. (shrink)

Facial expressions of emotion play an important role in human social interactions. However, posed expressions of emotion are not always the same as genuine feelings. Recent research has found that facial expressions are increasingly used as a tool for understanding social interactions instead of personal emotions. Therefore, the credibility assessment of facial expressions, namely, the discrimination of genuine (spontaneous) expressions from posed (deliberate/volitional/deceptive) ones, is a crucial yet challenging task in facial expression understanding. With recent advances in computer vision and (...) machine learning techniques, rapid progress has been made in recent years for automatic detection of genuine and posed facial expressions. This paper presents a general review of the relevant research, including several spontaneous vs. posed (SVP) facial expression databases and various computer vision based detection methods. In addition, a variety of factors that will influence the performance of SVP detection methods are discussed along with open issues and technical challenges in this nascent field. (shrink)

Volatility is widely used in different financial areas, and forecasting the volatility of financial assets can be valuable. In this paper, we use deep neural network and long short-term memory model to forecast the volatility of stock index. Most related research studies use distance loss function to train the machine learning models, and they gain two disadvantages. The first one is that they introduce errors when using estimated volatility to be the forecasting target, and the second one is that their (...) models cannot be compared to econometric models fairly. To solve these two problems, we further introduce a likelihood-based loss function to train the deep learning models and test all the models by the likelihood of the test sample. The results show that our deep learning models with likelihood-based loss function can forecast volatility more precisely than the econometric model and the deep learning models with distance loss function, and the LSTM model is the better one in the two deep learning models with likelihood-based loss function. (shrink)

Due to the complexity of the network structure, log analysis is usually necessary for the maintenance of network-based distributed systems since logs record rich information about the system behaviors. In recent years, numerous works have been proposed for log analysis; however, they ignore temporal relationships between logs. In this paper, we target on the problem of mining informative patterns from temporal log data. We propose an approach to discover sequential patterns from event sequences with temporal regularities. Discovered patterns are useful (...) for engineers to understand the behaviors of a network-based distributed system. To solve the well-known problem of pattern explosion, we resort to the minimum description length principle and take a step forward in summarizing the temporal relationships between adjacent events of a pattern. Experiments on real log datasets prove the efficiency and effectiveness of our method. (shrink)

Addiction is a significant issue in many aspects but no explanatory closure has been attained. The overemphasis on the brain disease paradigm upheld by the National Institute on Drug Abuse may run serious risks, and the present study intends to counteract this partiality. Drawing on Ludwik Fleck’s notion of thought collectives, this article offers a close reading of the works of sociologists Bingham Dai and Alfred R. Lindesmith vis-à-vis other coeval biomedical approaches. Individuals within the same thought collective, such as (...) Dai and Lindesmith, have different views although they share certain thought styles. As noted in this study, inter-collective communication is not typically antagonistic and may form some liaison under certain circumstances. These findings imply that communication among collectives may facilitate creative liaison, as suggested by Fleck. This study aims to enrich the understanding of addiction by coordinating biomedical and sociological sciences through minimizing, if not erasing, their intellectual antagonism and social distance. (shrink)