Given its non-invasive nature, there is increasing interest in the use of transcutaneous vagus nerve stimulation across basic, translational and clinical research. Contemporaneously, tVNS can be achieved by stimulating either the auricular branch or the cervical bundle of the vagus nerve, referred to as transcutaneous auricular vagus nerve stimulation and transcutaneous cervical VNS, respectively. In order to advance the field in a systematic manner, studies using these technologies need to adequately report sufficient methodological detail to enable comparison of results between (...) studies, replication of studies, as well as enhancing study participant safety. We systematically reviewed the existing tVNS literature to evaluate current reporting practices. Based on this review, and consensus among participating authors, we propose a set of minimal reporting items to guide future tVNS studies. The suggested items address specific technical aspects of the device and stimulation parameters. We also cover general recommendations including inclusion and exclusion criteria for participants, outcome parameters and the detailed reporting of side effects. Furthermore, we review strategies used to identify the optimal stimulation parameters for a given research setting and summarize ongoing developments in animal research with potential implications for the application of tVNS in humans. Finally, we discuss the potential of tVNS in future research as well as the associated challenges across several disciplines in research and clinical practice. (shrink)

Given its non-invasive nature, there is increasing interest in the use of transcutaneous vagus nerve stimulation across basic, translational and clinical research. Contemporaneously, tVNS can be achieved by stimulating either the auricular branch or the cervical bundle of the vagus nerve, referred to as transcutaneous auricular vagus nerve stimulation and transcutaneous cervical VNS, respectively. In order to advance the field in a systematic manner, studies using these technologies need to adequately report sufficient methodological detail to enable comparison of results between (...) studies, replication of studies, as well as enhancing study participant safety. We systematically reviewed the existing tVNS literature to evaluate current reporting practices. Based on this review, and consensus among participating authors, we propose a set of minimal reporting items to guide future tVNS studies. The suggested items address specific technical aspects of the device and stimulation parameters. We also cover general recommendations including inclusion and exclusion criteria for participants, outcome parameters and the detailed reporting of side effects. Furthermore, we review strategies used to identify the optimal stimulation parameters for a given research setting and summarize ongoing developments in animal research with potential implications for the application of tVNS in humans. Finally, we discuss the potential of tVNS in future research as well as the associated challenges across several disciplines in research and clinical practice. (shrink)

Language plays an essential role in social life, and especially in the life of our modern information society. Studies of language have long been a vital part of philosophical research in the West. In ancient Greek philosophy, Socrates investigated word meaning and Plato universals. Aristotle separated the essence of the matter from accidental factors, postulating that the essence of a thing determines our study of its concept. Closer to our own time, Francis Bacon proposed the concept of "Idols of the (...) market-place," which deals with mistakes caused by different interpretations of word meanings. Thomas Hobbes developed the theory of names and referents. John Locke created the ideational theory of meaning. John Stuart Mill proposed the theory of word meaning and extension. Franz Brentano created the theory of intentionality. To sum up, from Ancient Greece to modern times, language has always been the focus of attention for many philosophers. However, these philosophers never regarded their investigations as a necessary condition and a prerequisite of philosophical research. (shrink)

Human resource management (HRM) is underpinned by, and contributes to, the business ethics of the organization. Opportunities available to men and women as managers, and the role of managers more broadly, are critical in shaping business ethics in contemporary organizations. Research on women in management therefore provides an important lens through which to understand the institutional and cultural context of HR ethics as part of the business ethics of a country. To date, women in management in China remains an under-charted (...) topic of research in the HRM field. Extant research and recommendations on the improvement of the position of women in management in China focus primarily on women themselves from a traditional, gender norm angle, instead of challenging the political and patriarchal system or any institutionalized discriminatory practice. This is, in part, due to the absence in China of a critical feminism approach or feminist movement, as found in Western societies, and the continuing strong influence of the state and media in portraying women’s (stereotypical) image. There is significant room for research capacity building in scholarship on women in management research, for example, and through cross-fertilization of different disciplines and more rigorous research design and execution. This paper provides a critical analysis of extant literature on women in management and the ideologies underpinning it, and offers some suggestions for future research and conceptualization. (shrink)

全书共3卷。内容包括:殖民时期的神学和哲学、独立战争时期的哲学思想、19世纪上半叶的美国哲学、19世纪下半叶的美国哲学等.

本书包括词、语句以及语言分析、括称理论、意义理论、言语行为理论、语言和实在等内容。同时还介绍了英美语言哲学研究的历史和现状。.

shang bian. Laozi he Zhongguo gu dian dao xue -- xia bian. "Gongsun Longzi" he Zhongguo gu dian ming xue.

Rising negative emotions are like “time bombs” that impede productivity in the workplace. The present investigation provides an insight into the effects of defensive silence and defensive voice on counterproductive work behavior through knowledge hiding in the context of knowledge workers in Chinese academic institutions. Partial least square structural equation modeling was applied to the current samples. The study obtained conjecture the proposed mediating role of knowledge hiding between the negative working attitude and counterproductive work behavior, which is against the (...) organizational norms and performance. The result indicates that the positive relationships exist from defensive silence and defensive voice to counterproductive work behavior, mediated by knowledge hiding. This study links knowledge hiding literature and stimulus-organism-response to better explore the academic behavior in a knowledge setting. (shrink)

With the rapid development of technologies, online learning, especially email dialogue journaling, has been playing an increasingly important role in foreign language learning and teaching in recent years. While many studies have examined the effect of email learning on student learning performance, few have looked into students? attitudes towards email application and its impact on their learning outcomes. Positive user attitudes (high self?efficacy) have been considered critical factors that contribute to the subsequent and successful academic performance. By integrating email for (...) the reading learning process, this study developed an electronic?based peer collaborative environment to explore students? attitudes towards email application in reading classes. Specifically, the relationship between students? self?efficacy and their reading performance was examined. The results demonstrate that most students maintain positive attitudes towards the potential outcomes of email application on reading achievement. Furthermore, the feature of electronic discussion has a greater direct effect on the reading enhancement. Implications of certain designs of email tasks for an enhanced second language reading development are presented. (shrink)

This study examines the associations of constructivist beliefs and classroom climate on teachers' self-efficacy in instruction, classroom management, and student engagement among Australian secondary mathematics teachers. To do this, it uses the integrated model of teachers' self-efficacy with the concept of analysis of teaching tasks. The study uses structural equation modeling to analyze data from 495 mathematics teachers in the Teaching and Learning International Survey 2013. The results reveal the integrated model is a valid theoretical framework to explain Australian secondary (...) mathematics teachers' self-efficacy. Teachers' constructivist beliefs and classroom climate are positively and statistically significantly related to teachers' self-efficacy in instruction, classroom management and student engagement. In contrast, constructivist beliefs have no significant correlation with classroom climate. (shrink)

We investigate the role of social-media-triggered public pressure on corporate social responsibility that includes expectations of transparency and accountability on the firm’s part, and participative/evaluative inputs on the public’s part. Using the date when S&P 500 firms established corporate Twitter accounts, we investigate the impact of corporate social media exposure on CSR outcomes. Results from baseline regressions indicate that firms with Twitter accounts significantly outperform industry peers in CSR rating, after controlling for firm and industry characteristics. To test potential reverse (...) causality, we use a dynamic treatment effect model to explore within firm changes of CSR, and find that firms’ CSR rating improves in year one- and year two after establishing a Twitter account, while no difference emerged in similar comparisons with peers prior to the Twitter account establishment. Additionally, Granger causality tests results show that corporate Twitter presence improves CSR performance; it is also shown that CSR outcomes do not motivate corporations to establish a social media presence on Twitter. Finally, firms with more experience on Twitter, and those with more followers, tweets or Twitter accounts are associated with improved CSR outcomes. We draw on two theories and qualitative interviews with senior CSR executives to explain why social media influences CSR firm behaviors. (shrink)

Wang Fu "Hermit on" Governance in the Han thought the historical status of the decline of classical studies and the Metaphysics of gestation to be revealed, and its performance to three factors: First, as a social critique of its ideological thought Governance representative; the second is its focus Times change issues around the cart before the horse, its name, was of the various problems started; Third, Wang Fu Governance highlights the thinking of people in the rational spirit. By the demonstration (...) of classic in Two Han Dynasties and the pregnance of philosophy in Wei and Jin Dynasties, the historical significance of the nation management notion in WangFu '. (shrink)

Previous studies have shown that the motion intention recognition for lower limb prosthesis mainly focused on the identification of performed gait. However, the bionic prosthesis needs to know the next movement at the beginning of a new gait, especially in complex operation environments. In this paper, an upcoming locomotion prediction scheme via multilevel classifier fusion was proposed for the complex operation. At first, two motion states, including steady state and transient state, were defined. Steady-state recognition was backtracking of a completed (...) gait, which would be used as prior knowledge of motion prediction. In steady-state recognition, surface electromyographic and inertial sensors were fused to improve recognition accuracy; five typical locomotion modes were recognized by random forest classifier with over 97.8% accuracy. The transient state was defined as an observation period at the initial stage of upcoming movement, in which only the sEMG signal was recorded due to the limitation of sliding window length. LightGBM classifier was validated to outperform other methods in the accuracy and prediction time of transient-state recognition. Finally, a simplified HMM model based on prior knowledge and observation result was constructed to predict upcoming locomotion. The results indicated that the locomotion prediction was over 91% accuracy. The proposed scheme implements the locomotion prediction at the initial stage of each gait and provides critical information for the gait control of lower limb prosthesis. (shrink)

The Iowa Gambling Task (IGT) simulates uncertain gains and losses in real life situations and thus is a good measure of uncertain decision making. The role of working memory (WM) in IGT performance still remains unclear. The present study aimed to examine the effect of WM on IGT performance. Three groups of participants matched on gender ratio were randomly assigned to no WM load, low WM load, and high WM load conditions. Initially the three groups did not show significant difference (...) in WM capacity. They finished a modified version of IGT and then their implicit learning effect and explicit cognition on IGT were assessed. Results indicated a linear increasing trend of IGT performance among high WM load, low WM load and no WM load groups; participants in the no WM load and low WM load groups revealed implicit learning effect, while participants in the high WM load group did not; all participants showed explicit cognition on IGT to the same level. These results suggested that participants in the high WM load group showed good explicit cognition to IGT but showed poor performance. This pattern is similar to frontal patients. Further studies should be conducted to explore this issue. (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)

Probably nothing is more complicated, misunderstood, and thus damaged, in a way of speaking, than the viewpoint of "one divides into two" when criticism is being made of the various fallacies spread by Lin Biao and the "gang of four." Some people hold that Lin and the gang's activities to split the Party and their philosophy of making others suffer were related to this viewpoint and thus conclude that this viewpoint is one-sided. Others are of the opinion that this viewpoint (...) constitutes the philosophical base for the ultra-Left line. Such ideas circulate even among a part of the philosophy researchers. It is necessary to repudiate the gang's distorted and subjective explanation and application of the viewpoint "one divides into two"; so is the exposure of a certain simplistic tendency in our previous propaganda work. However, it is inappropriate to view the distortion and simplification as something inherent in the proposition that "one divides into two." After all, is such a proposition scientific or not? Should it be seen as a "mistake" or a "heresy" that ought to be taken out from Marxism-Leninism and Mao Zedong Thought? This, of course, is an issue of theoretical principle and must be clarified through discussion. (shrink)

AgeTech involves the use of emerging technologies to support the health, well-being and independent living of older adults. In this paper we focus on how AgeTech based on artificial intelligence (AI) may better support older adults to remain in their own living environment for longer, provide social connectedness, support wellbeing and mental health, and enable social participation. In order to assess and better understand the positive as well as negative outcomes of AI-based AgeTech, a critical analysis of ethical design, digital (...) equity, and policy pathways is required. A crucial question is how AI-based AgeTech may drive practical, equitable, and inclusive multilevel solutions to support healthy, active ageing. In our paper, we aim to show that a focus on equity is key for AI-based AgeTech if it is to realize its full potential. We propose that equity should not just be an extra benefit or minimum requirement, but the explicit aim of designing AI-based health tech. This means that social determinants that affect the use of or access to these technologies have to be addressed. We will explore how complexity management as a crucial element of AI-based AgeTech may potentially create and exacerbate social inequities by marginalising or ignoring social determinants. We identify bias, standardization, and access as main ethical issues in this context and subsequently, make recommendations as to how inequities that stem form AI-based AgeTech can be addressed. (shrink)