This study aims to explore the multiple mediating effects of political skills and entrepreneurial opportunity recognition between perceived entrepreneurship education and innovation. Structural equation is used to analyze data collected from 269 Chinese student entrepreneurs. Results showed that (1) There is a positive relationship between perceptions of entrepreneurship education and perceptions of innovation, (2) political skills and entrepreneurial opportunity recognition separately play a mediating role between perceived entrepreneurship education and innovation, and (3) political skills and entrepreneurial opportunity recognition play a (...) chain mediating effect between perceived entrepreneurship education and innovation. (shrink)

Based on a national survey of Chinese scientific personnel in 2008, this paper sheds new light on the relationship between social networks and scientific performance. In this study, we used position generator to measure scientists’ ego-centered social networks. The scientists’ performance was measured by multiple indexes, including recognitions from the academic, governmental, and market sectors. The findings show that size and composition of scientists’ social networks have significant effect on their scientific performance. The notions of “information communication mechanism” and “resource (...) acquisition mechanism” are introduced to explain how network composition affects scientific performance along multiple dimensions. The policy implications of the study are also discussed. (shrink)

The importance of data literacy and the need of raising and improving it through formal educational channel or public engagement has repeatedly been flagged up in each of the past Economic and Social Research Council-funded Data-Psst! Seminar I attended in 2014–2016. There is a real demand for action taking. I took advantage of the knowledge I learned from the Data-Psst seminars and devised a module teaching Level 5 undergraduate media students about critical issues in today’s data-centric digital society, including privacy (...) and surveillance. In this article, I share how the class activities were devised and carried out, and how guided engagement with the current debate in privacy and surveillance were realised. I also draw on relevant pedagogical theories to discuss my educational approaches, student performance, the challenges of the project, and evaluate and reflect upon the outcomes. This report from the field provides fresh first-hand information about the data ethics of the younger public who are practising media arts and their behaviours and attitudes towards privacy and surveillance. This article shall open up the discussion about the role educators play in enriching public engagement with critical thinking about Big Data. The lessons learned can also contextualise the pedagogical implication of the recent scholarly research on Big Data and privacy, and provide a framework for constructing future collaborative or creative projects. (shrink)

The epistemological version of structural realism, proposed by Cao Tianyu, has great influence in the philosophy of science. Syntheses has published a special volume discussing the topic. Cao criticizes anti-realism, as well as the epistemic and ontic versions of structural realism. From the concepts of structure, ontology, and construction, he analyzes the objectivity of scientific theories as having five aspects: construction, historicity, holism, revision, and revolution. This paper systematically analyzes and comments on Cao's structural realism. The author agrees with his (...) criticism of the under-determination thesis, is neutral to his argument against ontological discontinuity, and questions his universal language argument. (shrink)

We give a survey of the study of nonstandard models in recursion theory and reverse mathematics. We discuss the key notions and techniques in effective computability in nonstandard models. and their applications to problems concerning combinatorial principles in subsystems of second order arithmetic. Particular attention is given to principles related to Ramsey's Theorem for Pairs.

Using a sample of 11,357 firm-year observations from the Chinese stock market for the period of 2001–2011, we investigate whether and how religion can mitigate earnings management. Specifically, based on geographic-proximity-based religion variables, we provide strong and robust evidence to show that religion is significantly negatively associated with the extent of earnings management, suggesting that religion can serve as a set of social norms to mitigate corporate unethical behavior such as earnings management. Our findings also reveal that the negative association (...) between religion and earnings management is less pronounced for firms with closer distance to the regulatory centers than for their counterparts, implying the substitutive effects between religion and the distance to regulators on mitigating earnings management. The above results are robust to different measures of earnings management, various religion variables, and a variety of sensitivity tests. (shrink)

The self-reference effect refers to better memory for self-relevant than for other-relevant information. Generally, the SRE is found in conditions in which links between the stimuli and the self are forged in the encoding phase. To investigate the possibility that such conditions are not prerequisites for the SRE, this research developed two conditions by using two recognition tasks involving abstract geometric shapes. One was the cue-in-encoding condition in which self- and other-cues were presented to construct links with AGSs during the (...) encoding phase, and the other was the cue-in-retrieval condition in which self- and other-cues were presented to construct links with AGSs during the retrieval phase. The SRE was found in both conditions. The findings reveal that self-cues merely presented during the retrieval phase are sufficient to induce the SRE. Links between the stimuli and the self constructed during the encoding phase may not be necessary prerequisites for the SRE. (shrink)

Due to the frequent occurrence of ethical transgressions and unethical employee behaviors, there has lately been an increasing interest in the ethical foundations of contemporary organizations. However, large-scale comprehensive analyses of organizational ethics are still comparatively limited. Our study contributes to both management control and business ethics literature by empirically examining potential antecedents as well as resulting effects of ethical work climates on organizational-level outcomes. Based on a cross-sectional survey among 295 large- and medium-sized companies, we find that more informal (...) means of control constitute important elements of a broader organizational control context that are strongly related to the emergence of coherent ethical work climates with an increased awareness of ethical issues. Moreover, our results show that the relationship between ethical work climates and organizational performance can be considered as rather indirect as it is fully mediated by increased mutual trust among employees. Overall, our study thus supports the particular importance of ethical work climates and identifies appropriate means to encourage ethical conduct. (shrink)

This paper looks at transgender identities and the law in the context of marriage in common law jurisdictions. It particularly focuses on the nature and sources of authority over word meaning as well as the role of language and definition in classifying transgender individuals into a legal category. When it comes to the legal question of who may marry whom, and what the terms “man” and “woman” actually refer to, there is no statutory definition of the terms “man”, “woman”, “male” (...) and “female”. This has put the onus on judges, especially those who needed to decide whether a transgender person can marry in his/her affirmed sex, to interpret these terms. Two lines of cases in transgender jurisprudence are examined so as to have a close study of how the courts construed these terms and classified transgender people into a category. The first concerns United Kingdom cases, namely Corbett v Corbett, Bellinger v Bellinger and the Hong Kong case W v Registrar of Marriages, &. The second consists of Australian cases such as Secretary, Department of Social Security v State Rail Authority and Re Kevin. This paper discusses these issues by analyzing and comparing different cases in transgender jurisprudence as well as examining how these issues play out in contemporary Hong Kong. (shrink)

Gender differences in science and engineering have been studied in various countries. Most of these studies find that women are underrepresented in the S&E workforce and publish less than their male peers. The factors that contribute to gender differences in experience and performance in S&E careers can vary from one country to another, yet they remain underexplored. This paper is among the first to systematically compare gender differences in the publication productivity of academic scientists and engineers with doctoral degrees in (...) the U.S. and China. Findings from negative binomial regressions show that women publish less than their male counterparts in science but not in engineering in the U.S. In China, women do not differ from men in publication productivity in science but publish more than their male counterparts in engineering. In addition, we find that some background variables affect men’s and women’s publication productivity differently. The findings are analyzed in the context of the different cultures of the two fields and of the two countries. Limitations and policy implications are also discussed. (shrink)

Building on prior research in Confucianism and business, the current study examines the effects of Confucianism on consumer trust of government involvement with products and company brands. Based on three major ideas of Confucianism – meritocracy, loyalty to superior, and separation of responsibilities – it is expected that consumers under the influence of Confucianism would perceive products from government-involved enterprises to have more desirable attributes and show preference for their company brands. Findings from an empirical study in the Chinese automobile (...) market support the hypotheses. The results suggest that small firms doing business in China would especially benefit from some association with the government. These results also provide managerial implications for enterprises in other countries with a Confucian cultural background. (shrink)

In this study, we examined the effects of parental phubbing on learning burnout in elementary and secondary school students and its mechanism of action. A questionnaire method was applied to investigate parental phubbing, parent–child attachment, ego depletion, and learning burnout among 2090 elementary and secondary school students in Anhui Province, China. The results are as follows: Parental phubbing was significantly correlated with parent–child attachment, ego depletion, and learning burnout; Parental phubbing has an indirect impact on learning burnout in elementary and (...) secondary school students through three pathways: a separate mediating effect on parent–child attachment, a separate mediating effect on ego depletion, and a chain mediating effect on both. Parental phubbing is a risk factor for Learning Burnout, which can positively affect Learning Burnout in elementary and secondary school students. The findings of the study contribute to revealing the influence mechanism of parental phubbing on learning burnout in elementary and secondary school students. (shrink)

Despite intensive debates regarding action imitation and sentence imitation, few studies have examined their relationship. In this paper, we argue that the mechanism of action imitation is necessary and in some cases sufficient to describe sentence imitation. We first develop a framework for action imitation in which key ideas of Hurley’s shared circuits model are integrated with Wolpert et al.’s motor selection mechanism and its extensions. We then explain how this action-based framework clarifies sentence imitation without a language-specific faculty. Finally, (...) we discuss the empirical support for and philosophical significance of this perspective. (shrink)

Given that citizenship challenges the basis and workings of the basic institutions market, state, and civil society, organizational citizenship behaviors (OCBs) become an important moral tenet found in some codes of ethical principles. This study explores service-oriented OCBs and their determinants. Three dimensions of service-oriented OCBs (loyalty, service delivery, and participation) are hypothetically influenced by distributive justice, procedural justice, personal cooperativeness, and the need for social approval through the mediation of organizational commitment. The three dimensions of OCBs are hypothetically influenced (...) by personal cooperativeness, need for social approval, task interdependence, and outcome interdependence through the mediation of social network ties. The model is tested using data from contact employees at several financial holding companies in Taiwan. Test results reveal that the relationships between need for social approval and organizational commitment and those between task interdependence and social network ties are insignificant, whereas all other paths are significant. This study also provides managerial implications and limitations. (shrink)

It is widespread that the consumers browse relevant reviews for reference before purchasing the products when online shopping. Some stores or users may write deceptive reviews to mislead consumers into making risky purchase decisions. Existing methods of deceptive review detection did not consider the valid product review sets and classification probability of feature weights. In this research, we propose a deceptive review detection algorithm based on the target product identification and the calculation of the Metapath feature weight, noted as TM-DRD. (...) The review dataset of target product is modeled as a heterogeneous review information network with the feature nodes. The classification method of graph is used to detect the deceptive reviews, which can improve the efficiency and accuracy of deceptive review detection due to the sparsity, imbalance of deceptive reviews, and the absence of category probability of feature weight calculation. The TM-DRD algorithm we proposed is validated on the real review dataset Yelp and compared with the SpEagle, NFC, and NetSpam algorithm. The experiment results demonstrate that the TM-DRD algorithm performs better than the other method with regard to the accuracy and efficiency. (shrink)

By investigating the status quo of the swimming training market in a certain area, we can obtain information on the current development of the swimming training market in a certain area and study the laws of the development of the market so as to provide a theoretical basis for the development of the market. This paper designs an evaluation algorithm suitable for swimming training based on the improved AlexNet network. The algorithm model uses a 3 × 3 size convolution kernel (...) to extract features, and the pooling layer uses a nonoverlapping pooling strategy. In order to accelerate the network convergence, the model introduces batch normalization technology. The algorithm uses data augmentation technology to expand the data set, including rotation and random erasure, to a certain extent alleviating the problem of overfitting. The results of the study showed that there were no significant differences in fat, minerals, protein, body mass index, basal metabolic rate, and total energy expenditure in the body composition ratios of children in the convolutional neural network assessment group and the control group, while muscle and total body water were not significantly different. However, there are significant differences in fat-free body weight and muscle strength of various segments of the body, among which there are very significant differences in muscle strength of lower limbs in each segment of the body. There were no significant differences in minerals, body mass index, basal metabolic rate, total energy expenditure, and lower limb muscle strength in the body composition ratios of men and women in the convolutional neural network assessment group. There are significant differences in body weight, upper limb muscle strength, and trunk muscle strength. There were no significant differences in the proportions of body composition between men and women in the control group, except for fat and protein. (shrink)

Multilevel item response theory models are used widely in educational and psychological research. This type of modeling has two or more levels, including an item response theory model as the measurement part and a linear-regression model as the structural part, the aim being to investigate the relation between explanatory variables and latent variables. However, the linear-regression structural model focuses on the relation between explanatory variables and latent variables, which is only from the perspective of the average tendency. When we need (...) to explore the relationship between variables at various locations along the response distribution, quantile regression is more appropriate. To this end, a quantile-regression-type structural model named as the quantile MLIRT model is introduced under the MLIRT framework. The parameters of the proposed model are estimated using the Gibbs sampling algorithm, and comparison with the original MLIRT model is conducted via a simulation study. The results show that the parameters of the Q-MLIRT model could be recovered well under different quantiles. Finally, a subset of data from PISA 2018 is analyzed to illustrate the application of the proposed model. (shrink)

This paper investigates a composite learning prescribed performance control scheme for uncertain strict-feedback system. Firstly, a prescribed performance boundary condition is developed for the tracking error, and the original system is transformed into an equivalent one by using a transformation function. In order to ensure that the tracking error satisfies the PPB, a sufficient condition is given. Then, a control scheme of PPC combined with neural network and backstepping technique is proposed. However, the unknown functions cannot be guaranteed to estimate (...) accurately by this method. To solve this problem, predictive errors are defined by applying online recorded date and instantaneous date. Furthermore, novel composite learning laws are proposed to update NN weights based on a partial persistent excitation condition. Subsequently, the stability of the closed-loop system is guaranteed and all signals are kept bounded by using composite learning PPC method. Finally, simulation results verify the effectiveness of the proposed methods. (shrink)

Personnage central de la littérature mondiale, prix Nobel 2000, Gao Xingjian est également peintre, dramaturge, chorégraphe, cinéaste et photographe. En quête de l'art total, tel Leonardo, il développe avec une infinie rigueur la théorie de l'engagement du créateur dans le réel au delà de toute ingérence politique. Avec quelques-unes des grandes figures de la culture internationale il engage le débat sur l'éthique et l'esthétique au cours d'un mémorable colloque organisé à Marseille dans le cadre surréel d'une incroyable Année Gao. (...) Tous les textes de cet ouvrage de référence sont des jalons précieux pour qui veut discerner les grandes alternatives de l'histoire de l'art au croisement des siècles et des millénaires de l'histoire des hommes. (shrink)

The purpose of this paper is to explore job performance, mergers and acquisitions (M&A) from an ethical perceptive. A great number of studies have extensively discussed the link between M&A and performance; however, most focused on the financial functions and strategy selections. Although ethical issues emerge in the M&A process, it is a less studied area. This study adopted the structural equation modeling approach to empirically test our hypotheses. Based on 264 samples from financial companies, data analyses indicated that ethical (...) conduct in M&A is significantly correlated with employee job performance. Ensuring employment security and caring practices can significantly explain organizational commitment. Organizational commitment also plays a significant mediating role between a company’s ethical conduct and employee job performance. Managerial implications are also provided. (shrink)

With the increasing prevalence of Internet usage, Internet-Delivered Psychological Treatment (IDPT) has become a valuable tool to develop improved treatments of mental disorders. IDPT becomes complicated and labor intensive because of overlapping emotion in mental health. To create a usable learning application for IDPT requires diverse labeled datasets containing an adequate set of linguistic properties to extract word representations and segmentations of emotions. In medical applications, it is challenging to successfully refine such datasets since emotion-aware labeling is time consuming. Other (...) known issues include vocabulary sizes per class, data source, method of creation, and baseline for the human performance level. This paper focuses on the application of personalized mental health interventions using Natural Language Processing (NLP) and attention-based in-depth entropy active learning. The objective of this research is to increase the trainable instances using a semantic clustering mechanism. For this purpose, we propose a method based on synonym expansion by semantic vectors. Semantic vectors based on semantic information derived from the context in which it appears are clustered. The resulting similarity metrics help to select the subset of unlabeled text by using semantic information. The proposed method separates unlabeled text and includes it in the next active learning mechanism cycle. Our method updates model training by using the new training points. The cycle continues until it reaches an optimal solution, and it converts all the unlabeled text into the training set. Our in-depth experimental results show that the synonym expansion semantic vectors help enhance training accuracy while not harming the results. The bidirectional Long Short-Term Memory (LSTM) architecture with an attention mechanism achieved 0.85 Receiver Operating Characteristic (ROC curve) on the blind test set. The learned embedding is then used to visualize the activated word's contribution to each symptom and find the psychiatrist's qualitative agreement. Our method improves the detection rate of depression symptoms from online forum text using the unlabeled forum texts. (shrink)

Adopting fair value measurement may bring more earnings fluctuations and induce irrational psychology and radical financing behavior of managers. Based on behavioral corporate governance theory, using the sample of Chinese A-share nonfinancial listed companies during 2007–2017, this paper empirically examines the regulatory effect of fair value measurement, that is, whether fair value measurement affects the company's financing decisions when managers have irrational psychological characteristics, i.e., overconfidence. The study found that overconfident managers of the company that have fair value measurement assets (...) will be more aggressive for debt decisions, indicating that fair value measurement has a positively regulatory effect on overconfident managers. (shrink)

Drawing on justice theory and upper echelons perspective, this study develops and tests an integrative model linking justice to the implementation of IT-enabled supply chain information integration through the top management. Specifically, the study investigates the effects of the three facets of justice—distributive, procedural, and interactional justice—on the two dimensions of IeSCII, and examines the mediating influences of top management beliefs and top management participation in these relationships. Using structural equation modeling to analyze data collected from 190 firms in China, (...) the study documents that interactional justice positively affects both TMB and TMP, while procedural justice positively affects TMB in the IeSCII implementation process. In contrast, distributive justice is not significantly related to either TMB or TMP, but is positively associated with information sharing. The results also show that procedural justice positively affects TMB, which then positively affects TMP in IeSCII. Furthermore, the study finds significant mediating effects of TMB and TMP in the relationship between interactional justice and IeSCII. The theoretical and managerial implications of this study are discussed. (shrink)

分: 哲学与时代精神、现代自然科学与辩证唯物主义、马克思主义哲学与宗教等9个专题。.

本书主要是针对我国当前改革建设的实践,运用马克思主义的哲学原理,加以深入的论述,特别是关于改革与社会心理、人的本质和人的价值、思维方式的变革、宗教等问题的论述、有新意、有深度。.

The existing fuzzy rough set models all believe that the decision attribute divides the sample set into several “clear” decision classes, and this data processing method makes the model sensitive to noise information when conducting feature selection. To solve this problem, this paper proposes a robust fuzzy rough set model based on representative samples. Firstly, the fuzzy membership degree of the samples is defined to reflect its fuzziness and uncertainty, and RS-FRS model is constructed to reduce the influence of the (...) noise samples. RS-FRS model does not need to set parameters for the model in advance and can effectively reduce the complexity of the model and human intervention. On this basis, the related properties of RS-FRS model are studied, and the sample pair selection algorithm based on RS-FRS is used for feature selection. In this paper, RS-FRS is tested and analysed on the open 12 datasets. The experimental results show that RS-FRS model proposed can effectively select the most relevant features and has certain robustness to the noise information. The proposed model has a good applicability for data processing and can effectively improve the performance of feature selection. (shrink)

Carbon emission has negative externalities, which will cause severe natural and social problems. In recent years, more and more attention has been paid to carbon emission reduction issue both in academic and application fields. This paper aims to explore the impact of punitive carbon tax and incentive carbon emission reduction subsidy on economy and environment through the dynamic stochastic general equilibrium framework. The results show that both carbon tax and carbon emission reduction subsidy policies can help to reduce carbon emissions (...) and to improve environment quality. In addition, carbon emission reduction subsidy has a positive impact on economy, while carbon tax has the opposite impact. It follows that the incentive carbon emission reduction policy is more conducive to the coordinated development of economy and environment. This research can be a guideline for the government to formulate carbon emission abatement policies from the perspective of coordinated development. (shrink)

Accountability is a core element for groups and societies to operate efficiently. However, there have been confusing findings in previous studies on felt accountability, and few efforts have been made to clarify its complicated role. Drawing on self-determination theory, we developed an integrative model to examine the double-edged sword effect of felt accountability on work outcomes and individual wellbeing. We utilized a three-wave sample of 294 employees to test our hypotheses. The findings supported our hypotheses. Specifically, felt accountability is positively (...) related to both task performance and emotional exhaustion, and obsessive passion mediates the positive relationship between felt accountability and task performance, while work overload mediates the positive relationship between felt accountability and emotional exhaustion. This study integrates the positive and dark sides of felt accountability, provides new insights into its mechanism and expands the application of self-determination theory. (shrink)

This study aims to investigate the moderating effect of the board chair's role on the relationship between board human capital and firm performance. Board human capital has been regarded as a valuable asset that enhances firm performance. Especially, the board chair plays a crucial role in developing this high-echelon human capital. This study utilises a set of longitudinal data to examine 275 firms in Taiwan. The result indicates that board human capital is positively related to firm performance, and the individual (...) human capital of the board chair represents a moderating effect on the relationship between board human capital and performance. (shrink)

PurposeThe effect of sensorimotor stripping on neuroplasticity and motor imagery capacity is unknown, and the physiological mechanisms of post-amputation phantom limb pain (PLP) illness remain to be investigated.Materials and methodsIn this study, an electroencephalogram (EEG)-based event-related (de)synchronization (ERD/ERS) analysis was conducted using a bilateral lower limb motor imagery (MI) paradigm. The differences in the execution of motor imagery tasks between left lower limb amputations and healthy controls were explored, and a correlation analysis was calculated between level of phantom limb pain (...) and ERD/ERS.ResultsThe multiple frequency bands showed a significant ERD phenomenon when the healthy control group performed the motor imagery task, whereas amputees showed significant ERS phenomena in mu band. Phantom limb pain in amputees was negatively correlated with bilateral sensorimotor areas electrode powers.ConclusionSensorimotor abnormalities reduce neural activity in the sensorimotor cortex, while the motor imagination of the intact limb is diminished. In addition, phantom limb pain may lead to over-activation of sensorimotor areas, affecting bilateral sensorimotor area remodeling. (shrink)

To solve the financing problem of the food producers, we consider a two-echelon contract food supply chain composed of a family farm with capital constraints and a food processing enterprise. With no capital constraints as the benchmark model, we analyze optimal decisions of the family farm and the food processing enterprise in the case of bank financing with bank participation only and bank financing with “government, bank, and insurance” coparticipation. Then, we discuss how the risk of yield uncertainty influences the (...) optimal decisions and profits of the family farm and the food processing enterprise under different financing situation. Meanwhile, the reason why the government subsidizes agriculture is explored, and the policy of minimum purchase price of the food is initiated when the market price is too low. Finally, the numerical examples and sensitivity analysis are presented. The results show that the bank financing with “government, bank, and insurance” coparticipation improves the welfare of supply chain members more obviously than the bank financing with bank participation only; when the rice price is too low, the policy of minimum purchase price of food is initiated, which increases the revenue and the growing enthusiasm of the family farm; the profits of the family farm and the food processing enterprise will decrease as the risk of yield uncertainty increases in the case of bank financing, and the risk of yield uncertainty will be reduced for the family farm when bank financing with “government, bank, and insurance” coparticipation. (shrink)

The academic performance of teacher education students predicts their future career development and it is also a significant factor related to their future students’ academic performance. However, little is known about the associations between perceived classroom climate, student engagement and academic performance, especially for English-major teacher education students. This study was to examine English-major teacher education students’ academic performance in relation to perceived classroom climate, student engagement. The questionnaire consisted of the Emotional Classroom Climate Scale, the Utrecht Work Engagement Scale (...) – Student Form-3 Item, and the 5-item Academic Performance Scale. This study investigated 307 English-major teacher education students in Guangxi, China. Among them, 280 were females, and 27 were males, aged between 18 and 24. Results indicated that perceived classroom climate was positively associated with student engagement and academic performance among English-major teacher education students; their student engagement was positively associated with their academic performance, and student engagement partially mediated the relationship between perceived classroom climate and academic performance. The findings supported the motivational process of study demands-resources model and revealed that perceived classroom climate and student engagement were significant factors linked to academic performance, and practical suggestions were discussed. (shrink)