ObjectiveTo explore the effect of independently developed transcranial pulsed current stimulation on alleviating athlete’s mental fatigue.MethodsA total of 60 college athletes were randomly divided into the active stimulation group and the sham stimulation group. Subjective questionnaires, behavior test, and functional near-infrared spectroscopy test were conducted before and after the experiment. Two-way ANOVA with repeated measures was used to compare the differences in mental fatigue indexes before and after the two experimental conditions.ResultsAfter 7 days of exercise training, there was a significant (...) difference in the main effect of the time factor in all indexes of the two groups. The scores of rated perceived exertion scale, positive and negative affect schedule, critical flicker frequency, and reaction time, in the tPCS treatment group, were better than those in the sham stimulation group. After 7 days of exercise training, all the subjects had different degrees of athlete’s mental fatigue; the subjects in the active stimulation group have a good evaluation of the tPCS developed by the research group without adverse actions.ConclusiontPCS intervention can improve emotional state, reduce the subjective evaluation of fatigue, improve behavioral levels such as attention and reaction time and increase cerebral prefrontal blood flow and oxygen supply. (shrink)

Science motivational beliefs are crucial for STEM (science, technology, engineering, and math) performance and persistence, but these beliefs typically decline during high school. We expanded the literature on adolescents’ science motivational beliefs by examining: 1) changes in motivational beliefs in three specific science subjects, 2) how gender, immigrant generation status, and perceived support from key social agents predicted differences in adolescents’ science motivational beliefs, and 3) these processes among Latino/as in the United States, whose underrepresentation in STEM is understudied. We (...) used hierarchical linear modeling to estimate the changes in 104 (40% female) Latino/a high school students’ physics, chemistry, and biology motivational beliefs from 9th to 11th grade. Subject-specific ability self-concept, interest, and utility were regressed on gender, immigrant generation status, and perceived science support while controlling for family income, parent education, and adolescents’ school. Adolescents’ utility declined from 9th to 11th grade whereas their interest remained stable for all three science subjects. Adolescents’ ability self-concept increased for biology, decreased for physics, but remained stable for chemistry. Gender differences in adolescents’ motivational beliefs at 9th grade only emerged for physics utility as well as physics and chemistry interest; yet, there were no gender differences in how adolescents’ science motivational beliefs changed over time. Contrary to expectations, immigrant generation status was not significantly associated with adolescents’ science motivational beliefs at 9th grade or in terms of how they changed over time. Adolescents who perceived higher science support generally had higher motivational beliefs in 9th grade, but did not differ on their rate of change. Our findings highlight the need to examine specific science subjects, and that typical gender differences in adolescents’ motivational beliefs discussed in the literature may not generalize to all racial and ethnic groups. (shrink)

Across the world, artificial intelligence (AI) technologies are being more widely employed in public sector decision-making and processes as a supposedly neutral and an efficient method for optimizing delivery of services. However, the deployment of these technologies has also prompted investigation into the potentially unanticipated consequences of their introduction, to both positive and negative ends. This paper chooses to focus specifically on the relationship between gender bias and AI, exploring claims of the neutrality of such technologies and how its understanding (...) of bias could influence policy and outcomes. Building on a rich seam of literature from both technological and sociological fields, this article constructs an original framework through which to analyse both the perpetuation and mitigation of gender biases, choosing to categorize AI technologies based on whether their input is text or images. Through the close analysis and pairing of four case studies, the paper thus unites two often disparate approaches to the investigation of bias in technology, revealing the large and varied potential for AI to echo and even amplify existing human bias, while acknowledging the important role AI itself can play in reducing or reversing these effects. The conclusion calls for further collaboration between scholars from the worlds of technology, gender studies and public policy in fully exploring algorithmic accountability as well as in accurately and transparently exploring the potential consequences of the introduction of AI technologies. (shrink)

What is feminist philosophy? A difficult question for feminist scholars in China. Women's studies in the Chinese mainland are characteristically policy‐oriented, geared to practical concerns and moral urgency. Empirical research projects engage many pressing social issues related to the changing situation of women in a rapid marketification of society and commercialization of culture since the post‐1978 reform movement. Here are some examples: migrant female workers and their working conditions in the urban centers; the impact of rural industrialization on women in (...) the countryside: discrimination against women in employment as well as in other aspects of social life; marriage and sexual relations. What follows in this article however, represents an effort to identify and categorize trends in emerging feminist theories. The main questions that might be seen as in one way or another philosophical are located in the historical context of the transformation of Chinese socialism. As we have only very limited access to publications in Hong Kong and Taiwan, to avoid mispresentation we regret that we cannot discuss the feminist work developed in these areas. (shrink)

As a way of human-computer interaction, game-based assessment is more suitable for young children because it is situational, interesting, and effective. National identity is an important factor affecting the overall development of young children and the future development of a country, which has attracted extensive attention from researchers. Nevertheless, the assessment of young children's national identity is still based on traditional evaluation, including questionnaires and interviews, which have the limitations of being inaccurate, dull, and time-consuming. To understand the characteristics of (...) children's national identity, it is necessary to use scientific and interactive assessment methods. The present study investigated whether the game-based assessment we developed specifically would be an appropriate tool to measure young children's national identity. The results show that the game-based assessment had good item discrimination. Exploratory factor analysis demonstrated the game covered three aspects: national cognition mastery, national emotion engagement, and national behavior tendency. The confirmatory factor analysis suggested that the model with three factors fit the data well. The internal consistency, the split-half reliability, and the test-retest reliability meet standards. Overall, the results indicated that this game can be successfully used to assess young children's national identity with acceptable validity and reliability. Our study provides strong evidence for the use of human-computer interaction in child measurement. These findings are the first to demonstrate the promise of game-based assessment in assessing children's national identity reliably and effectively. (shrink)

There is an important contemporary debate in moral responsibility about whether the following asymmetry thesis is true: moral responsibility for actions does not require alternative possibilities but moral responsibility for omissions does. In this paper, we do two things. First, we consider and reject a recent argument against the asymmetry thesis, contending that the argument fails because it rests on a false view about the metaphysics of omissions. Second, we develop and defend a new argument against the asymmetry thesis, one (...) that avoids the problem with the first argument by not resting on any assumptions about what omissions are metaphysically. (shrink)

The current situation in the manufacture and positioning of clay toys in Russia — a country with rich traditions of the existence of large and small crafts of this kind — is ambiguous, but has positive dynamics. The appeal to the activities of individual toy makers, both amateur and professional artists, provides the basis for understanding the current state of the craft. Of interest is the analysis of the search by craftsmen from different parts of the country for new artistic (...) solutions both in terms of the shape of products and their decoration, in conditions of following the principles of craftsmen of the past. Currently, there is a surge of interest in clay toys in the works of modern masters from Russian researchers. However, a comprehensive study of its existence in various villages and cities of Russia has not been conducted. This determines the need to establish "hotbeds" of craft development, identify the most prominent representatives, establish links between modern creative activity and the traditions of the past, as well as identify new things that artists offer in their activities. The study also includes those crafts that have emerged recently and are not the result of continuity, but have a rather distinctive form and use elements of the artistic language of other crafts. (shrink)

The current study proposes a moderated mediation model to explain the relationship between humble leadership and team innovation. Our hypothesis integrates social information processing theory with the existing literature on humble leadership. As a result, we theorize that when a humble individual leads a team, the team members are more likely to reconsider strategies, review events with self-awareness, share diverse information, and adapt to new ideas, which in turn promotes innovative team activities. Moreover, consistent with the research that emphasizes the (...) inclusion of team culture in exploring leader–innovation relationships, we investigate the moderating role of a team’s expertise diversity in the above positive, indirect relationship. We test our model by using both archival and survey data collected from 135 teams within 18 medium-to-large internet technology firms in China. The findings largely support our theoretical assertions, suggesting that humble leadership has important implications for team processes and innovation. (shrink)

As one of the important 21st-century skills, collaborative problem solving (CPS) has caught much attention in the assessment area. Two initiative approaches have been created: the human-to-human and human-to-agent modes. Between the two modes, the human-to-human interaction is much closer to the real-world situation and its process stream data can reveal more detailed information about the cognitive processes. In order to measure CPS ability effectively by this mode, how to extract indicators from the data and model it is crucial, while (...) the existing methods all have some disadvantages. In the present study, we proposed a new paradigm for extracting indicators and modeling the dyad data in the human-to-human mode. Specifically, both individual and group indicators were extracted from the data stream, which served as evidence for demonstrating CPS skills. In addition, a within-item multidimensional Rasch model was used to fit the dyad data. To test the validity of the paradigm, we developed five tasks following the asymmetric mechanism and integrated them into an online testing platform. Four hundred thirty-four students from China participated in the assessment and the online platform recorded their crucial actions with time stamps. The new paradigm was used to deal with the generated process stream data. Results showed that the model fitted well. The item parameter estimates and fitting indexes were acceptable, and students were well differentiated. In general, the new paradigm of extracting indicators and modeling the dyad data is feasible for improving the human-to-human assessment of CPS. Finally, the limitations of the current study and further research directions are discussed. (shrink)

In real life, multiple network public opinion emergencies may break out in a certain place at the same time. So, it is necessary to invite emergency decision experts in multiple fields for timely evaluating the comprehensive crisis of the online public opinion, and then limited emergency resources can be utilized to give priority to respond to the one with the highest crisis. Due to the complexity of network public opinion emergencies and the limited cognition of experts, most of the decision (...) problems for evaluating the network public opinion emergencies are highly uncertain. Also, prior to the selection of the highest crisis, it is preferable that experts reach a high degree of consensus among their assessments or opinions. To address such problems, this paper presents a novel adaptive consensus reaching model for multiattribute group decision making with probabilistic linguistic decision matrices. First, to quantify the difference between any two probabilistic linguistic term sets accurately and efficiently, we define a novel distance measure between PLTSs based on the Wasserstein metric. Then, by integrating the defined PLTSs-based Wasserstein distance measure into the classical CCSD method, we construct an optimization model for objectively determining attribute weights. Subsequently, we develop the individual cumulative consensus contribution measure and the group consensus measure, respectively, following which is to present an integrated consensus improving strategy that considers both weight-updating and assessment-adjusting. Finally, the feasibility and the applicability of the proposed approach are illustrated via a real evaluation of network public opinion emergencies. Through comparing with existing probabilistic linguistic MAGDM approaches, the proposed approach offers the advantages in terms of the accurate measurement of information difference and the integrated improvement of consensus efficiency. (shrink)

Career planning and career decision are important tasks for college students. The process may be affected by career stress, career exploration, and future work self, with some students facing career indecision. Combining both construction career and proactive motivation model, this study investigated the relationships between career stress, career exploration, future work self, career planning and career indecision among 1,012 Chinese college students using the Structure equation model to test the proposed mediation model. Results show that career stress negatively predicts career (...) planning, while career exploration positively predicts career planning. The mediating role of future work self has on career stress and career exploration's effects on both career planning and career indecision was verified. Moreover, the study also found future work self's positive effects on both career planning and career indecision in Chinese college students. Finally, the study's theoretical and practical significance and implications are discussed. (shrink)

New energy vehicle is an innovative means of transportation, and its development has been widely concerned all over the world. However, few studies investigate the purchase intention of new energy vehicles from the perspective of combining altruism and cultural factors. Based on the extended norm activation model, this study explores the influencing factors of NEVs’ purchasing intention and the moderating effects of “mianzi” and green peer influence. According to 302 valid questionnaires, the results indicated that the extended NAM model is (...) useful in predicting consumer purchasing behavior with an improved explanatory power in purchase intentions of NEVs from 15 to 26%. The awareness of consequences, the ascription of responsibility, and green self-identity have a positive impact on the personal norm. Personal norm and green self-identity are positively associated with purchase intention. “Mianzi” and green peer influence positively moderate the relationship between green self-identity and intention to purchase. The findings give new insights into the impact of cultural factors on purchasing NEVs and profound suggestions for policymakers and enterprises to promote the development of NEVs. (shrink)

In this paper, we present a case study of how well subject metadata (comprising headings from an international classification scheme) has been deployed in a national data catalogue, and how often data seekers use subject metadata when searching for data. Through an analysis of user search behaviour as recorded in search logs, we find evidence that users utilise the subject metadata for data discovery. Since approximately half of the records ingested by the catalogue did not include subject metadata at the (...) time of harvest, we experimented with automatic subject classification approaches in order to enrich these records and to provide additional support for user search and data discovery. Our results show that automatic methods work well for well represented categories of subject metadata, and these categories tend to have features that can distinguish themselves from the other categories. Our findings raise implications for data catalogue providers; they should invest more effort to enhance the quality of data records by providing an adequate description of these records for under-represented subject categories. (shrink)

The sampling-based motion planner is the mainstream method to solve the motion planning problem in high-dimensional space. In the process of exploring robot configuration space, this type of algorithm needs to perform collision query on a large number of samples, which greatly limits their planning efficiency. Therefore, this paper uses machine learning methods to establish a probabilistic model of the obstacle region in configuration space by learning a large number of labeled samples. Based on this, the high-dimensional samples’ rapid collision (...) query is realized. The influence of number of Gaussian components on the fitting accuracy is analyzed in detail, and a self-adaptive model training method based on Greedy expectation-maximization algorithm is proposed. At the same time, this method has the capability of online updating and can eliminate model fitting errors due to environmental changes. Finally, the model is combined with a variety of sampling-based motion planners and is validated in multiple sets of simulations and real world experiments. The results show that, compared with traditional methods, the proposed method has significantly improved the planning 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)

Venture capital syndication, an investment model, is gaining increasing attention. This paper uses a new perspective on knowledge transfer to explore the influence mechanism of knowledge heterogeneity in VCS on the innovation performance of entrepreneurial firms. We use firm-year panel data from the Shenzhen Stock Exchange for 2000–2017 and find that the knowledge heterogeneity of VCS includes, at least, management knowledge heterogeneity, investment knowledge heterogeneity, and technical knowledge heterogeneity. In particular, management knowledge heterogeneity and technical knowledge heterogeneity positively affect the (...) IP of entrepreneurial firms. We further find that the intellectual capital of entrepreneurial firms mediates these positive relationships. Moreover, the equity concentration of VCS positively moderates the relationship between knowledge heterogeneity and IP and negatively moderates the relationship between knowledge heterogeneity and IC. This paper provides a new theoretical explanation of the relationship between VCS and IP of entrepreneurial firms from a knowledge transfer perspective and explores the impact paths of this relationship. (shrink)

Research on the relationship between emotions and job performance is ubiquitous, yet few scholars have examined the combined effects of different emotions. Drawing on the broaden-and-build theory and conservation of resources theory, we propose that employees’ daily emotion fluctuations will affect their service performance in opposite directions. Furthermore, we propose these effects will be moderated by psychological [i.e., regulatory emotional self-efficacy ] and physiological characteristics of the employees. Based on the experience sampling method, data obtained from 187 frontline employees of (...) 35 bank branches over 18 consecutive days supports our hypotheses. (shrink)

Guiding core enterprises to participate in supply chain work safety governance is an innovative mode of work safety control, which has an important impact on improving the work safety level of small and medium-sized enterprises in the supply chain. Through in-depth interviews, the grounded theory is adopted to explore the driving factors of work safety management behaviors of core enterprise. It is found that the work safety management behavior of the core enterprise is driven by both internal and external factors. (...) External driving factors are the main category of institutional pressure composed of regulatory pressure, normative pressure, and cognitive pressure. Internal driving factors are divided into the main category of behavioral awareness and the behavioral capability of the core enterprises. The behavioral awareness is composed of responsibility sense, problem cognition and behavioral effect perception. The behavioral capability is composed of safety management strength and safety coordination capability. Institutional pressure, behavioral awareness, and behavioral capability all influence the work safety management behavior of core enterprise in supply chain significantly, but with different ways and paths. On this basis, the driving mechanism model of the above three main categories on the work safety management behavior in core enterprise supply chain is explored. The research can provide targeted policy ideas and implementation paths for the government to formulate effective guiding policies to promote the work safety management behavior of core enterprise. (shrink)

The international community has proposed a comprehensive strategy to prevent congenital abnormalities. And China, with a high incidence of congenital diseases, has implemented measures including prenatal screening and diagnosis to reduce the morbidity of congenital abnormalities. However, ethical challenges arise in the practice of prenatal screening and diagnosis among healthcare professionals. Five focus group discussions were conducted with twenty-four health professionals working in maternal and child health services in Hunan Province, China, to explore the ethical challenges they encountered in prenatal (...) testing decision-making and information disclosure practices, as well as their views on these challenges. Participants were selected through purposive sampling, ensuring maximum demographic diversity. Three main themes were identified: 1) balancing between information disclosure and privacy protection; 2) patient-oriented decision-making and tensions within family-oriented decision-making; 3) the disparity between the limited help clinical ethics committees (CECs) can provide and professionals’ need for CECs. Ethical norms for information disclosure and autonomous decision-making within prenatal screening and diagnostic institutions must be established. Utilizing CECs is crucial to guide professionals in delivering prenatal testing services while simultaneously focusing on targeted improvement of communication skills among these professionals. (shrink)

Celebrity influence plays a significant role in fostering the consumers’ impulse buying tendency and purchase intention. In the modern advertising era, the celebrity endorsement characteristics have driven the firms’ promotion campaigns, stimulating consumer purchasing behavior through celebrity branding. The study signifies the relationship between celebrity’s traits of trustworthiness, attractiveness, credibility, and expertise influence consumers’ impulse behavior. The data was collected from the 371 customers of the fast fashion industry by using the convenient-sampling technique. SMART-PLS was used for data analysis by (...) applying structural equation modeling. The study results show that celebrity trustworthiness, the attractiveness of a celebrity endorser, the credibility of a celebrity endorser, and celebrity expertise positively impact purchase intention and impulse buying tendency. Purchase intention plays a mediating role between independent and dependent variables. (shrink)

Chinese philosophy has its roots in religion, and has spread to the general Chinese public as a mixture of attitudes in life, cultural spirit, as well as religious practices. However, Chinese philosophy is not just a collection of wisdom on life or a religious discourse on how to lead a good life; it is also a form of philosophy. And yet its philosophical import has often been slighted in the Western philosophical world. Two hundred years ago, Hegel remarked that there (...) is no separation between philosophy and religion in the East: “That which we call Eastern Philosophy is more properly the religious mode of thought and the conception of the world belonging generally to the Orientals and approximates very closely to Philosophy.” (Hegel, Lectures on the History of Philosophy, Vol. 1) Under this conception, Hegel’s attitude with Chinese philosophy was completely dismissive. He described Confucius as “only a man who has a certain amount of practical and worldly wisdom — one with whom there is no speculative philosophy,” and “it would have been better had [his works] never been translated.” With Laozi’s conception of ‘dao,’ Hegel commented: “to the Chinese what is highest and the origin of things is nothing, emptiness, the altogether undetermined, the abstract universal,” and “if.. (shrink)

This article examines the interplay between homophobia and nationalism by analyzing online comments on the ruling of legalizing same-sex marriage in Taiwan. Drawing on methods from critical discourse analysis, I focus on the framing of this ruling by members from a Chinese antigay community online. I show that they frame this ruling as (1) in opposition to public opinion, (2) promoting ‘Westernization’ and ‘Independence’, (3) seeking immorality and self-destruction. I find that within these frames, they evoke nationalist discourses that represent (...) supporters of this ruling as the ‘Other’ who attempt to split with China, thereby associating LGBT equality movements in China with this political threat. I argue that these nationalist discourses are used in a way that reinforces and legitimizes discourses of homophobia. (shrink)

In this essay, I explore a metaphor in geometry for the debate between the unity and the disunity of science, namely, the possibility of putting a global coordinate system (or a chart) on a manifold. I explain why the former is a good metaphor that shows what it means (and takes in principle) for science to be unified. I then go through some of the existing literature on the unity/disunity debate and show how the metaphor sheds light on some of (...) the views and arguments. (shrink)