Workplace incivility is under investigation for the last three decades, and it holds a central position in organizational behavior literature. However, despite the extensive investigations in the past, there exists a missing link between workplace incivility and knowledge hiding in academia. This study aims to tap this missing link for which data were collected from the universities staff. Data were collected in two waves to reduce the common method biases. In the first wave, questions were asked from the respondents regarding (...) their demographic characteristics and exposure to workplace incivility. At this stage, 400 questionnaires were floated and 355 completely filled responses were received back, while in the second wave, those respondents were approached for data collection who have completely filled questionnaires in the first wave. The time interval between the two waves was 1 month. In the second wave, questions related to distrust and knowledge hiding behavior were asked from the respondents. At this stage, 323 questionnaires were received back out of which 290 were filled and these were considered for final data analysis. Collected data were analyzed by applying structural equation modeling through SmartPLS. Results indicated that employees tend to hide knowledge when they experience incivility at workplace. Moreover, they develop a sense of distrust in response to workplace incivility which further triggers them to hide knowledge. Limitations and future directions are also discussed. (shrink)

Theoretical studies suggest that, when determining the workplace safety level, CEOs face a trade-off between ex ante safety-improving expenditures and the expected losses due to ex post injury and illness occurrences. We examine whether firms with higher CEO inside debt holdings have safer workplaces. Using establishment-level employee workplace injury and illness data, we find that CEOs’ inside debt holdings are negatively associated with employee workplace injury and illness cases. This relationship is more pronounced if workers’ compensation premiums are more sensitive (...) to injury claims and for firms with more government business and less pronounced for firms with higher levels of secured debt. We provide some evidence that our main result stems from CEOs increasing safety investments. Our empirical results are shown to be robust under a batch of robustness tests and when considering potential endogeneity problems. Our findings suggest that CEOs with higher levels of inside debt holdings are more sensitive to wealth loss due to employee injury and illness, leading to a safer workplace. (shrink)

BackgroundTo investigate the factors related to approval after review by an Institutional Review Board, the structure equation model was used to analyze the latent variables ‘investigators’, ‘vulnerability’ and ‘review process’ for 221 proposals submitted to our IRB.MethodsThe vulnerability factor included vulnerable cases, and studies that involved drug tests and genetic analyses. The principal investigator factor included the license level of the PI and whether they belonged to our institution. The review factor included administration time, total review time, and revision frequency. (...) The revision frequency and total review time influenced the efficiency of review.ResultsThe latent variable of reviewing was the most important factor mediating the PIs and vulnerability to IRB review approval. The local PIs moderated with genetic study and revision frequency had an impact on the review process and mediated non-approval.ConclusionsBetter guidance of the investigators and reviewers might improve the efficiency with which IRBs function. (shrink)

There is a growing literature studying the ‘non-traditional’ type of international schools. However, a less explored and under-theorised area is the changing dynamics of the global-local interactions in the way these international schools are being redefined and shaped by local processes, regimes of control, and mechanisms. Drawing on empirical evidence from sixteen ‘non-traditional’ international schools in urban China, our paper contributes to the literature in three ways. Theoretically, we developed the notion of ‘reining in the international’ to draw analytic attention (...) to the state power and social agency in controlling and directing the global flows of international schooling. Empirically, our paper provides concrete evidence to show the disjuncture occurring when the global/international is interrupted and transformed by local/national conditions. Third, we argue that in the case of China, the local has taken charge as the ‘content supplier and negotiator’ in the global-local confluence of forms adopted by international schools. (shrink)

This study investigates the interaction between suppliers and fraudulent customer firms from the perspective of reputation damage and reputation recovery. Specifically, reputation damage from the regulatory penalty for corporate fraud induces the trust crisis and suppliers respond to fraudulent firms by reducing the trade credit supply. To repair a damaged reputation and rebuild the trust, fraudulent firms raise the ratio of prepayment to purchase volume when purchasing from small suppliers and increase the proportion of purchase from large suppliers in the (...) next year. Channel analysis shows that the declining trust is one of potential mechanisms to reduce the trade credit. Furthermore, the negative effect is more pronounced for fraudulent firms with non-related party suppliers, higher supplier concentration, less analyst coverage, and for fraudulent firms located in regions with less-developed financial environment. Additionally, supplier sanctions have a spillover effect on non-fraudulent customer firms in the same industry. The conclusions are robust to a series of checks, including PSM–DiD, firm and year fixed effect, the alternative measure for trade credit financing, the industry-year fixed effect and the consideration of the monetary policy and financial crisis. (shrink)

Polarization is pervasive in the current sociopolitical discourse. Polarization tends to increase cognitive inflexibility where people become less capable of updating their beliefs upon new information or switching between different ways of thinking. Cognitive inflexibility can in turn increase polarization. We propose that this positive feedback loop between polarization and cognitive inflexibility is a form of threat response that has benefited humans throughout their evolutionary history. This feedback loop, which can be driven by conflict mindset, group conformity, and simplification of (...) information, facilitates the formation of strong bonds within a group that are able to eliminate threats and increase individual fitness. Although cognitive inflexibility is conventionally seen as maladaptive, here we argue that cognitive inflexibility may be an adaptation under polarization. That is, in a highly polarized society most people only interact with members of their own social group, without having to confront perspectives from another group or interacting with out-group members. In this context, cognitive inflexibility creates rigid cognitive specialization, a set of cognitive traits that allow people to operate efficiently within their social circles but not outside of it. Although rigid cognitive specialization benefits individuals in the short term, it may lead to more polarization over the long run, and thus produce more conflict between groups. We call on future research to examine the link between cognitive inflexibility and rigid cognitive specialization. (shrink)

A large number of studies have investigated achievement goals and their related antecedents and consequences above elementary school level. However, few studies have implemented achievement goal assessment to investigate achievement goals and their relevance for preschoolers. In particular, no valid measurement has been developed for preschoolers’ self-reporting of their achievement goals. The main purposes of this study were twofold: To develop an innovative achievement goal measurement for preschoolers, and to investigate the best theoretical model for understanding preschoolers’ achievement goal across (...) gender. To examine the effectiveness and efficiency of the pictorial and pure text measurement format and approaches. A total of 364 preschoolers aged 5 years participated in self-report activity, and 32 preschool teachers obtained consent to rate 193 out of 364 preschoolers. Results showed: the developed achievement goal measurement was a valid tool for understanding preschoolers’ achievement goals and was equally suitable for boys and girls. The 6-factor achievement goal model was the best theoretical perspective for understanding preschoolers’ achievement goals for both boys and girls. The pictorial measurement format for preschoolers’ self-reporting of achievement goals was a more effective but less efficient way to investigate preschoolers’ achievement goals, while the opposite was the case for the pure text measurement format for teachers’ ratings. Implications for achievement goal literature and future research are discussed. (shrink)

Although fear and anxiety have gradually become a shared experience in the time of COVID-19, few studies have examined its content from historical, cultural, and phenomenological perspectives concerning the self-awareness and alterity. We discuss the development of the ubiquitous nature of Taijin-kyōfushō (TKS), a subtype of social anxiety disorder (SAD) originated and considered culturally-bound in the 1930s Japan involving fear of offending or displeasing other people. Considering the historical processes of disease classification, advances in cognitive neurosciences, and the need to (...) better understand the content of suffering, psychiatric nosology for SAD still appears controversial and requires further investigations. (shrink)

Although accumulating evidence suggests the COVID-19 pandemic is associated with costs in mental health, the development of students' mental health, including the change from their previous levels of depression and anxiety and the factors associated with this change, has not been well-studied. The present study investigates changes in students' anxiety and depression from before the pandemic to during the lockdown and identifies factors that are associated with these changes. 14,769 university students participated in a longitudinal study with two time points (...) with a 6-month interval. Students completed the Anxiety and Depression subscales of the Symptom Checklist 90 before the COVID-19 outbreak, and the Self-rating Anxiety Scale and Self-rating Depression Scale during the pandemic. The prevalence of anxiety and depression symptoms were 1.44 and 1.46% at Time 1, and 4.06 and 22.09% at Time 2, respectively, showing a 181.94% increase in anxiety and a 1413.01% increase in depression. Furthermore, the increases in anxiety and depression from pre-pandemic levels were associated with students' gender and the severity of the pandemic in the province where they resided. This study contributes to the gap in knowledge regarding changes in students' mental health in response to the pandemic and the role of local factors in these changes. Implications for gender and the Typhoon Eye effect are discussed. (shrink)

Music not only regulates mood but also promotes the development and maintenance of empathy and social understanding. Since empathy is crucial for well-being and indispensable in social life, it is necessary to develop strategies to improve empathy and prosocial behaviors. To fulfill this aim, researchers have extensively investigated the effect of intensive musical training on the development of empathy. Here, we first summarize evidence showing the powerful influence of musical training on the development of empathy and then discuss psychological mechanisms (...) responsible for those observations. The conclusions drawn from most previous studies were mainly based on behavioral measurements, while the neural basis of musical training in the development of the empathic brain is still unclear. Fortunately, brain imaging research has contributed greatly to our understanding of the neural underpinnings associated with musical training and its possible connection to the development of the empathic brain. One of the most distinctive signatures of musical training is structural and functional changes of multiple brain regions, and such changes might be related to some of the empathic behaviors observed in musically trained children. Therefore, intensive musical training in childhood may increase levels of empathy, and applied research is required to optimize the training strategy before implementing music education in empathy regulation. Moreover, future longitudinal studies are needed to better understand neural mechanisms underlying the causal effect of musical training on empathy development. These findings have important implications for understanding the development of the empathic brain and for improving prosocial behaviors. (shrink)

This study investigates the phonological development of Mandarin voiceless affricates produced by Mandarin-speaking children. Thirty-six monolingual Mandarin-speaking children and twelve adults participated in a speech production task. Auditory-based transcription analysis and acoustic analysis were utilized to quantify the relative order of affricate acquisition. Both methods yielded earlier acquisition of alveopalatal affricates at age three than retroflex and alveolar affricates, whereas they differed in the acquisition order of retroflex and alveolar affricates. The former revealed that both retroflex and alveolar affricates were (...) acquired at age five, regardless of aspiration, while the latter yielded earlier acquisition of retroflex than alveolar affricates. Possible reasons for the discrepancy are discussed in relation to the different nature of the two methods. Overall, the observed acquisition order of Mandarin voiceless affricates suggests that child speech development is a complex process, and is influenced by various factors including oromotor maturation and language-specific phoneme frequencies in the ambient language. (shrink)

We propose that human social learning is subject to a trade-off between the cost of performing a computation and the flexibility of its outputs. Viewing social learning through this lens sheds light on cases that seem to violate bifocal stance theory (BST) – such as high-fidelity imitation in instrumental action – and provides a mechanism by which causal insight can be bootstrapped from imitation of cultural practices.

China's Philosophical Studies: Rediscovery of Chinese Spiritual Essence collects essential research findings of China's philosophical studies conducted by the academics at East China Normal University (ECNU) in recent years. The book covers topics including thoughts in China's Spring and Autumn Period, Chinese virtue of trust, establishing morals, historical studies of Chinese philosophy, etc. This book is the fifth volume of the WSPC-ECNU Series on China. This Series showcases the significant contributions to scholarship in social sciences and humanities studies about China. (...) It is jointly launched by World Scientific Publishing, the most reputable English academic publisher in Asia, and ECNU, a top University in China with a long history of exchanges with the international academic community. (shrink)

Objective: Tangent Space Mapping using the geometric structure of the covariance matrices is an effective method to recognize multiclass motor imagery. Compared with the traditional CSP method, the Riemann geometric method based on TSM takes into account the nonlinear information contained in the covariance matrix, and can extract more abundant and effective features. Moreover, the method is an unsupervised operation, which can reduce the time of feature extraction. However, EEG features induced by MI mental activities of different subjects are not (...) the same, so selection of subject-specific discriminative EEG frequency components play a vital role in the recognition of multiclass MI. In order to solve the problem, a discriminative and multi-scale filter bank tangent space mapping algorithm is proposed in this article to design the subject-specific Filter Bank so as to effectively recognize multiclass MI tasks. Methods: On the 4-class BCI competition IV-2a dataset, first, a non-parametric method of multivariate analysis of variance based on the sum of squared distances is used to select discriminative frequency bands for a subject; next, a multi-scale FB is generated according to the range of these frequency bands, and then decompose multi-channel EEG of the subject into multiple sub-bands combined with several time windows. Then TSM algorithm is used to estimate Riemannian tangent space features in each sub-band and finally a liner Support Vector Machines is used for classification. Main Results: The analysis results show that the proposed discriminative FB enhances the multi-scale TSM algorithm, improves the classification accuracy and reduces the execution time during training and testing. On the 4-class BCI competition IV-2a dataset, the average session to session classification accuracy of nine subjects reached 77.33 ± 12.3%. When the training time and the test time are similar, the average classification accuracy is 2.56% higher than the latest TSM method based on multi-scale filter bank analysis technology. When the classification accuracy is similar, the training speed is increased by more than three times, and the test speed is increased two times more. Compared with Supervised Fisher Geodesic Minimum Distance to the Mean, another new variant based on Riemann geometry classifier, the average accuracy is 3.36% higher, we also compared with the latest Deep Learning method, and the average accuracy of 10-fold cross validation improved by 2.58%. Conclusion: Research shows that the proposed DMFBTSM algorithm can improve the classification accuracy of MI tasks. Significance: Compared with the MFBTSM algorithm, the algorithm proposed in this article is expected to select frequency bands with good separability for specific subject to improve the classification accuracy of multiclass MI tasks and reduce the feature dimension to reduce training time and testing time. (shrink)

In view of the poor recommendation performance of traditional resource collaborative filtering recommendation algorithms, this article proposes a collaborative filtering recommendation model based on deep learning for art and MOOC resources. This model first uses embedding vectors based on the context of metapaths for learning. Embedding vectors based on the context of metapaths aggregate different metapath information and different MOOCs may have different preferences for different metapaths. Secondly, to capture this preference drift, the model introduces an attention mechanism, which can (...) improve the interpretability of the recommendation results. Then, by introducing the Laplacian matrix into the prior distribution of the hidden factor feature matrix, the relational network information is effectively integrated into the model. Finally, compared with the traditional model using the scoring matrix, the model in this article using text word vectors effectively alleviates the impact of data sparsity and greatly improves the accuracy of prediction. After analyzing the experimental results, compared with other algorithms, the resource collaborative filtering recommendation model proposed in this article has achieved better recommendation results, with good stability and scalability. (shrink)

As the development trend of the future housing field, green housing is an effective way to reduce pollution, save energy, and promote industrial upgrading. At the same time, the green house is of great significance to change the development mode of the construction industry and promote the sustainable development of the social economy. This study proposes a comprehensive research model to examine the influencing mechanism of residents’ intention to purchase green buildings. The proposed model is empirically tested using data collected (...) from 1,338 urban residents in China. Based on logit, probit, and ivprobit models, factors such as personal characteristics, housing price, and the number of real estate ownership are selected to conduct empirical analysis and mechanism analysis on willingness that affects consumers’ purchase of green houses. The results show that housing assets significantly affect the willingness of householders to pay for green houses. The more houses they own, the higher their willingness to pay for a green house will be. Similarly, if the housing prices are higher, householders are more willing to buy a green house. The amount of housing assets will affect the willingness of householders to pay for green housing through the way of individual happiness. In terms of the characteristics of the householder, if the householder is more educated, unmarried, his willingness to buy a green house will be stronger, and owning housing assets may affect the individual happiness due to the housing wealth effect brought by rising housing prices. People with more housing assets are more likely to have the happiness brought by higher wealth, which may affect the purchase intention of householders. (shrink)

With the development of computer hardware and software, digital art is a new discipline. It uses computers and digital technology as tools to perform artistic expression. It can be expanded to various binary numerical codes with computers as the center and can also be refined to various categories of creation with computers. The research scope is set in the field of digital art, and all kinds of accidental factors of digital art creation based on the machine learning algorithm are mined (...) and analyzed for feature correlation. Based on the hidden association relationship of massive data, the study focuses on the implicit association mining of digital art features of data for the recommendation algorithm. The classification and continuous data feature attributes are introduced and discretized, and the binary representation of data features is extended to ensure the diversity of data feature attributes. In order to mine some correlation features in data, a heuristic feature mining method based on minimum support was studied to discover the frequency of correlation features and construct the optimal feature subset. Based on the frequent items of data features, this study observes the heuristic algorithm of digital art feature association mining based on minimum confidence and carries out feature matching based on digital art feature association mining under different situation modes. The validity of the proposed algorithm is verified by using the experimental data of health and medical situations in the machine learning library. (shrink)

To accurately evaluate and improve college students’ English writing ability, this article proposes a dynamic evaluation method of college English writing ability based on artificial intelligence technology. First, a dynamic evaluation model of college English writing ability is constructed. Second, the index system of English writing dynamic evaluation model is established. Based on this, the dynamic evaluation of college English writing ability is realized. The experimental results show that the design method in this paper can effectively realize the dynamic evaluation (...) of the writing process. After the application of the design method, the number of students interested in writing has increased by 37.8%, and the enthusiasm of students to participate in writing has been improved, with a view to providing some help to improve students’ English writing ability through this research. (shrink)

This study proposes a push notification system that combines digital real-time learning, roll-call, and feedback collection functions. With the gradually flourishing online real-time learning systems, this research further builds roll-call and feedback functions for students to enhance concentration and provide opinions. Additionally, the lecturers can do a roll call irregularly and randomly through the push notification function, avoiding students logging in but away from the keyboard. Lecturers can also send questions to a specific student or invite all students to answer; (...) the replies can show students' learning performance. The system will store each notification in a database and analyse messages automatically to record roll calls. Moreover, the system can record the time and intervals of student feedback, enabling lecturers to check students' attention and learning conditions. Currently, most online digital systems depend on the lecturer to be responsible for the entire system; taking a roll call and asking questions will consume the lecturer's teaching time and strength. The system developed in this article can do roll calls and feedback by push notifications, reducing lecturers' workload. Furthermore, the roll-call and automatic record functions can save the time of paperwork after a course. (shrink)

In this paper, the method of mutual information is used to study the economic dependence among the provinces in Chinaʼs Eastern Coastal Economic Belt from 2015 to 2020, and the core structure of the dependence is depicted. The results show that, first of all, there is a wide range of economic dependence among the provinces in the Eastern Coastal Economic Belt, and the dependence changes with the different states of economic development. Secondly, the phenomenon of geographical clustering is not obvious. (...) Most provinces maintain a strong economic dependence relationship with the economically developed provinces, and this dependence relationship is relatively stable, while the economically underdeveloped provinces are often on the edge of the dependence structure. Finally, the economically developed provinces maintain strong economic dependence with each other, such as Jiangsu, Shandong, and Zhejiang, and Beijing, Guangdong, and Shanghai. However, the former three provinces are more in the core position of this structure, that is, the other provinces maintain the stronger dependence relationship with these three provinces. (shrink)

Drawing on the conservation of resources theory, we examined the effect of leader-member exchange on the voice behavior via role breadth self-efficacy, and how the perceived overqualification moderates the relationship between LMX and voice behavior. We tested the theoretical model with data gathered from 407 individuals in China. The results revealed that LMX had an indirect effect on voice behavior through role breadth self-efficacy, and perceived overqualification moderated the positive association between LMX and role breadth self-efficacy. In addition, the mediating (...) effect of LMX on voice behavior through role breadth self-efficacy was stronger when the level of perceived overqualification was low and weaker when it was high. The findings have theoretical and practical implications for increasing employees’ voice behavior in organizations. (shrink)

Despite accumulated evidence from previous studies that green creativity is highly emphasized in various industries, limited research has been conducted in the context of public sectors. Drawing on the dynamic componential model of creativity and innovation in organizations, this paper aims to propose and sequentially test the relationship between green training and employees’ green creativity through green values and green intrinsic motivation. Based on the data collected in Chinese public sectors at two different time points, the results indicate that green (...) training is positively related to green creativity. Moreover, this relationship is sequentially mediated by green values and green intrinsic motivation. The results in our study advance the emergent literature on green human resource management in the public sector for the practical applications of training and creativity in terms of green management. (shrink)

Studies have shown that during social interaction a shared system underlies inferring one’s own mental state, and the mental states of others – processes often referred to as mentalization. However, no validated assessment has been developed to measure second order mentalization, or whether this capacity plays a significant role in social interaction. The current work presents a interactive mentalization theory, which divides these directional and second order aspects of mentalization, and investigates whether these constructs are measurable, stable, and meaningful in (...) social interactions. We developed a 20-item, self-report interactive mentalization questionnaire in order to assess the different sub-components of mentalization: self–self, self–other, and other–self mentalization. We then tested this scale on a large, online sample, and report convergent and discriminant validity in the form of correlations with other measures, as well as correlations with social deception behaviors in real online interaction with Mturk studies. These results validate the IMQ, and support the idea that these three factors can predict mentalization in social interaction. (shrink)

The widespread use of Internet technology has changed people’s traditional life mode and created a new market transaction mode, namely, e-commerce platform. The Internet of Things can carry out real-time monitoring and management of any product in e-commerce and not only can realize information sharing in commercial activities but also can play a greater role in the protection of personal and enterprise information security. In this context, the efficiency and low cost of information flow, cash flow, logistics, and human resources (...) among enterprises are particularly important. The Internet of Things technology is a means to effectively improve and optimize the operation mode of the supply chain. This paper analyzes the status of traditional supply chain management, which discusses the development of a supply chain management based on the Internet of Things technology. Finally, this paper analyzes how to realize the optimization strategy of e-commerce supply chain management based on the Internet of Things technology, which provides strong support for the informatization of e-commerce supply chain management. Through the application of the Internet of Things technology, small- and medium-sized enterprises can optimize the workflow and circulation links of the e-commerce supply chain management, enhance the matching level of product value and information transmission, improve the supply chain operation mechanism, and increase economic benefits. (shrink)

This paper chooses car travel and bus travel as the research objects, establishes a dual-mode equilibrium model based on the bottleneck model, and compares the travel characteristics of the no-toll and fine-toll schemes. We find that the fine-toll scheme can eliminate the queuing time at the bottleneck, but it also increases the congestion risk cost of bus travel. In order to eliminate the queuing time at the bottleneck and reduce the congestion risk cost of bus travel without increasing the car (...) travel cost and bus travel cost, we propose an optimization scheme of fine toll and bus departure quantity and analyze its travel characteristics theoretically. Through the numerical example, we calculate and analyze the equilibrium results of no-toll scheme, fine-toll scheme, and optimization scheme of fine toll and bus departure quantity. The results indicate that the optimization scheme of fine toll and bus departure quantity can help travelers to choose a reasonable travel mode and travel time to travel in the rush hour. (shrink)

Despite the amount of theorization on the forms and effects of participation, relatively little research directly examines what the concept of workplace participation entails in the minds of employees, and whether employees across cultures think positively when the concept of participation is activated in their mental representation. Three studies investigated the perceptions and preferences of full-time employees from the United States and China, cultures that might be expected to differ in their societal participation norm. Using a free association test and (...) text analyses, Study 1 demonstrated that Chinese and American employees differed in their construal of workplace participation, yet both culture groups associated positive valence to the concept of participation. Study 2 showed that employees’ preference for workplace participation is positively related to their perceptions of its outcomes on productivity, job satisfaction, and workplace conflict. Study 3 had employees interact with either a prototypically high or low participation work environment and tested whether clear cultural contrasts might occur. American employees expressed unambiguous endorsement and predicted positive outcomes of a high participation workplace, whereas Chinese employees expressed slightly higher endorsement to a low participation work environment and associated it with higher productivity. This research provides insights on how workplace participation is construed by employees from different cultures, especially from cultures where democratic participation is not the normative default. Different perspectives on workplace participation across cultures may inform practitioners of the goals and approaches when shaping a more participatory workplace and a more democratic society. (shrink)

This study was aimed at examining the impacts of the Sharing economy on the individual and community Quality of Life and wellbeing by looking at their associated influencing factors using Village Savings and Loans Associations as a model of sharing economy in Malawi. An online community-based cross-sectional study design was conducted from November 2020 through January 2021. In the survey, 402 Village Savings and Loans Associations members from the Mzuzu City area participated, recruited using snowball and respondent-driven sampling techniques. The (...) sample size was computed using a single population proportion using the Yamane formula. Descriptive statistics and ordinal logistic regression model techniques were also employed. Additionally, we used the Chi-Square test, two-way ANOVA, and Ordinal regression model to determine statistical associations between socioeconomic data and QOL and wellbeing variables with a 5% level of significance. On the aspect of community wellbeing, the findings of our study indicated that income provided members with options to live a better QOL and wellbeing within the community by either facilitating payment for better education, eating healthier foods, acquiring assets, etc. Further, the absence of discrimination provided a platform for voice, inclusion, and social trust, enhancing freedom of expression. We also found that education facilitated better earnings and knowledge of public health-related issues. As for the contribution to the sharing economy, our study has emphasized the role played by trust in enhancing sharing economy. We recommend and encourage people to join these VSLAs so as to improve their QOL and wellbeing. However, there is a need to replicate the study on a larger scale to validate our study findings for effective policy formulation and implementation geared to improving the overall quality of people’s lives. Based on these findings, we further recommend that authorities reinstate programs like National Strategy for Financial Inclusion 2016–2020 and Savings and Loan Groups Best Practice Guidelines 2016–2017 that could further enhance the future of VSLAs, which are vital for QOL and community wellbeing of the people in developing countries like Malawi. (shrink)

This paper studies various equivalent characterizations of left semisimple rings from the standpoint of reverse mathematics. We first show that \ is equivalent to the statement that any left module over a left semisimple ring is semisimple over \. We then study characterizations of left semisimple rings in terms of projective modules as well as injective modules, and obtain the following results: \ is equivalent to the statement that any left module over a left semisimple ring is projective over \; (...) \ is equivalent to the statement that any left module over a left semisimple ring is injective over \; \ proves the statement that if every cyclic left R-module is projective, then R is a left semisimple ring; \ proves the statement that if every cyclic left R-module is injective, then R is a left semisimple ring. (shrink)

This paper presents a new method to recognize human activities based on weighted classification for the features extracted by human body. Towards this end, new features depend on weight taken from image or video used in proposed descriptor. Human pose plays an important role in extracted features; then these features are used as the weight input with classifier. We use machine learning during two steps of training and testing images of standard dataset that can be used during benchmarking the system. (...) Unlike previous methods that need size or length of shapes mainly to represent the cues when machine learning is used to recognize human activities, accurate experimental results coming from appropriate segments of the human body proved the worthiness of proposed method. Twelve activities are used in challenging of availability comparison with dataset to demonstrate our method. The results show that we achieved 87.3% in training set, while in testing set, we achieved 94% in terms of precision. (shrink)

This study investigates the Proteus effect from the first-person perspective and during avatar embodiment in actual exercise. In addition to the immediate measurements of the Proteus effect, prolonged effects such as next-day perception and exercise-related outcomes are also explored. We theorized the Proteus effect as altered perceived self-concept and explored the association between virtual reality avatar manipulation and self-concept in the exercise context. While existing studies have mainly investigated the Proteus effect in a non-VR environment or after VR embodiment, we (...) aim to contribute to the literature by addressing this concern to explore how the Proteus effect works in actual VR exercise. Through a 2 × 2 between-subject experiment, the results partially support the Proteus effect. Regarding actual physical activity, embodying an avatar with a six pack during exercise creates fewer body movements. No significant effect was found for perceived exertion. We also explored the role of sex as a potential moderator in the association of the Proteus effect on exercise outcomes. The Proteus effect was supported by immediate and next-day self-efficacy for core-muscle exercise only among female participants. The between-subject design allowed us to probe how avatar manipulation of muscular body shape with a six pack as opposed to normal body shape influences participants’ self-concept and exercise outcomes, as limited VR studies have employed within-subject comparisons. This also contributes to the literature by providing an upward comparison as opposed to the previous downward comparison regarding body fitness. The overall results supported the Proteus effect in the context of core-muscle exercise when comparing normal and ideal body shape avatars. However, the Proteus effect as an altered self-concept and its effects on self-efficacy for exercise were supported among females but not males. Whereas the female participants who embodied avatars with a six pack associated themselves more with the muscular concept than other people, the male participants who embodied avatars with a six pack perceived themselves as more normal than others. Theoretical and practical implications are discussed. (shrink)

Although empowering leadership is central to employees, leaders, and organizations, few studies have examined follower behavior and its role in incentivizing leaders to engage in empowering leadership. We use an exploratory, sequential mixed methods approach to explore comprehensively the influence of employee characteristics (i.e., work performance and ethical behavior) and leader-perceived threats on empowering leadership. We conducted two studies—the first entailed in-depth interviews of 24 managers from different industries to identify (i) the primary employee factors that determine empowering leadership and (...) (ii) the types of leader-perceived threats. The five employee factors and three leader-perceived threats identified lay the groundwork for the quantitative research in the second study. We used leader–member exchange theory and social dominance theory in analyzing data from 357 pairs of employee–supervisor questionnaires. The analysis confirmed the importance of employee ethical behavior (versus work performance) in predicting empowering leadership, and the crucial role of leader trust in connecting employee ethical behavior and work performance with empowering leadership. Leader-perceived power threats negatively influence empowering leadership and mitigate the positive impact of leader trust on empowering leadership. Thus, this study extends the literature’s perspective about empowering leadership to include ethical concerns and leader–member interaction. (shrink)

The problem of rationalizing denominators for two types of fractions is discussed in the paper. By using the theory and algorithms of Gröbner bases, we first introduce a method to rationalize the denominators of fractions with square root and cube root, and then, for the denominators with higher radical of the general form, the problem of rationalizing denominators is converted into the related problem of finding the minimal polynomials. Some interesting results and an executable algorithm for rationalizing the denominator of (...) these type fractions are presented. Furthermore, an example is also established to illustrate the effectiveness of the algorithm. (shrink)

Translation has long been viewed as ‘code-switching’ either within or between languages. Hence, most translation discussions center on its linguistic and cultural aspects. However, the fundamental mechanism of ‘translation as interpretative semiosis’ has yet to be studied with appropriate rigor. Susan Petrilli (2008) has identified ‘iconicity’ as the key that enables translative semiosis. Nevertheless, as her model is restricted to a discussion of literary translation activity in verbal sign systems, a fundamental mechanism to explain translation as interpretative semiosis is still (...) needed. By analyzing the interactions between the source sign (the translated) and the target sign (the translatant) in the translating process, it can be discerned that Humberto Maturana’s notion of autopoiesis may provide some crucial insights into translative semiosis. By identifying the autopoietic nature of translation, that is, the interlocked structural coupling between the Translated and Translatant, translation is no longer the ‘one-to-one-correspondence’ between sign systems, but rather a recursive process of interpretation—an interpretive semiosis. Moreover, it is by this autopoietic, self-productive mechanism of translation that I would suggest translation becomes a recursive generation of new inter-connections between semiotics systems. (shrink)