This paper reexamines the concept of filial piety from a specific perspective, asking how filial piety is performed by and observed on the body. I argue that in pre-Qin and Han Confucian texts, there was a strong anxiety over the potential hypocrisies of filial deeds; that is, the fact that filial piety could be abused and transformed to become a mere show intended for gaining fame and reputation. Because of this, early commentators felt the need to create methods and criteria (...) for evaluating filial piety. One important way to do this was to examine how filial piety was materialized through the ritual performance of the body. Filial piety was thus embodied and evaluated in terms of corporality. Ironically, this embodiment of filial piety had its own paradox as filial piety could become oversimplified as physical care of the parents and the ritual of xiao be reduced to a performance. (shrink)

Sequential recommendation algorithm can predict the next action of a user by modeling the user’s interaction sequence with an item. However, most sequential recommendation models only consider the absolute positions of items in the sequence, ignoring the time interval information between items, and cannot effectively mine user preference changes. In addition, existing models perform poorly on sparse data sets, which make a poor prediction effect for short sequences. To address the above problems, an improved sequential recommendation algorithm based on short-sequence (...) enhancement and temporal self-attention mechanism is proposed in this paper. In the proposed algorithm, a backward prediction model is trained first, to predict the prior items in the user sequence. Then, the reverse prediction model is used to generate a batch of pseudo-historical items before the initial items of the short sequence, to achieve the goal of enhancing the short sequence. Finally, the absolute position information and time interval information of the user sequence are modeled, and a time-aware self-attention model is adopted to predict the user’s next action and generate a recommendation list. Various experiments are conducted on two public data sets. The experimental results show that the method proposed in this paper has excellent performance on both dense and sparse data sets, and its effect is better than that of the state of the art. (shrink)

Motor imagery-based brain-computer interfaces have been studied without controlling subjects’ gaze fixation position previously. The effect of gaze fixation and covert attention on the behavioral performance of BCI is still unknown. This study designed a gaze fixation controlled experiment. Subjects were required to conduct a secondary task of gaze fixation when performing the primary task of motor imagination. Subjects’ performance was analyzed according to the relationship between motor imagery target and the gaze fixation position, resulting in three BCI control conditions, (...) i.e., congruent, incongruent, and center cross trials. A group of fourteen subjects was recruited. The average group performances of three different conditions did not show statistically significant differences in terms of BCI control accuracy, feedback duration, and trajectory length. Further analysis of gaze shift response time revealed a significantly shorter response time for congruent trials compared to incongruent trials. Meanwhile, the parietal occipital cortex also showed active neural activities for congruent and incongruent trials, and this was revealed by a contrast analysis of R-square values and lateralization index. However, the lateralization index computed from the parietal and occipital areas was not correlated with the BCI behavioral performance. Subjects’ BCI behavioral performance was not affected by the position of gaze fixation and covert attention. This indicated that motor imagery-based BCI could be used freely in robotic arm control without sacrificing performance. (shrink)

Students’ learning engagement is recognized as one of the main components of effective instruction and a necessary prerequisite for learning, but students’ learning engagement in flipped classroom poses some pedagogical challenges. This study aimed to promote students’ learning engagement via the flipped classroom approach. Design-based research was adopted in this study to conduct an experiment involving three iterations in a Modern Educational Technology course in a Chinese university. The participants included 36 third-year pre-service teacher undergraduates. Classroom observations and a learning (...) engagement questionnaire were used to measure the effectiveness of the flipped instruction in terms of students’ learning engagement. Data analysis applied descriptive statistics, ANOVA, and paired samples t tests. The results showed that after three rounds of iterative experiments, students’ learning engagement significantly improved. Several principles are provided as guidelines for instructors to implement flipped classroom approach to promote students’ learning engagement. (shrink)

Community detection is one of the key research directions in complex network studies. We propose a community detection algorithm based on a density peak clustering model and multiple attribute decision-making strategy, TOPSIS. First, the two-dimensional dataset, which is transformed from the network by taking the density and distance as the attributes of nodes, is clustered by using the DBSCAN algorithm, and outliers are determined and taken as the key nodes. Then, the initial community frameworks are formed and expanded by adding (...) the most similar node of the community as its new member. In this process, we use TOPSIS to cohesively integrate four kinds of similarities to calculate an index, and use it as a criterion to select the most similar node. Then, we allocate the nonkey nodes that are not covered in the expanded communities. Finally, some communities are merged to obtain a stable partition in two ways. This paper designs some experiments for the algorithm on some real networks and some synthetic networks, and the proposed method is compared with some popular algorithms. The experimental results testify for the effectiveness and show the accuracy of our algorithm. (shrink)

In this article I will argue that the feminist theoretical paradigm in approaching the issue of sexual difference should be adjusted. Feminism at present mainly relies on phenomenology of the other and pays much attention to the significant ambiguity of the human body. But I will explain that the phenomenological argument for the sexual asymmetry is invalid. All human beings with gender are bodily conditioned. Gender issues must be integrated into the universal human impulse of liberation which is based on (...) a self-understanding. The gendered self is culturally shaped. An intercultural comparative perspective can allow us to obtain a wider horizon to explore the relationship between a person’s sexually conditioned being and his self-understanding. In my discussion of gender and self, the contrast between China and the West is exemplary. Despite different self-understandings with regard to sex, the pursuit of freedom can be universally noticed. Notwithstanding the sexually embodied existence, human beings in both the West and East have generally theorized and practiced the spiritualization of self in metaphysics and religions. In order to make this point clear I take early Indian Buddhism as an example. My argumentation may seem intercultural and comparative, but fundamentally I am problem-oriented and point to the dimension beyond cultural comparison. (shrink)

Currently, there is an increasing trend in the organizations towards examining the artificial intelligence and nonartificial intelligence for the innovation and success of the new product, as well as getting the intentions of the upcoming researchers. Thus, the purpose of the ongoing study is to examine the role of artificial and nonartificial intelligence in the new product success along with the moderating role of new product innovation in the manufacturing organizations of China. The quantitative methods have been followed by the (...) study and gathered the responses from the respondents using questionnaires, and analysis has been conducted by using the smart-PLS. The results exposed that artificial intelligence and nonartificial intelligence have positive and significant nexus with the new product success. The outcomes also revealed that the new product innovation significantly moderated the links among the nonartificial intelligence and new product success, but it insignificantly moderated the links among the artificial intelligence and new product success in the manufacturing organizations of China. These findings have provided the guidelines to the manufacturing companies and their policies developing authorities that they should be developed and implement the suitable policies regarding the adoption of artificial intelligence and nonartificial intelligence that enhance the success of the new product, which ultimately enhances the success of the organization. (shrink)

本书从本体论和神学背景出发,将谢林哲学与现当代西方哲学联系起来。对“谢林哲学的转向”、“潜能学说”、“神话哲学”、“自由学说”等作了研究。.

Extant literature suggests that firms may gain legitimacy through imitation. But little known is about whom foreign multinational enterprises (MNEs) will imitate, given that they have multiple social referents: home-country peers and host-country industry competitors. Drawing upon category theory, we develop a dynamic imitation model and explicate how MNEs’ categorization process is affected by social activism, which causes the shift from self-categorization to categorical imperative. We investigate this model in the context of MNE philanthropy and propose that the social movement (...) may delegitimize MNEs’ original self-category and change their imitation target. Using a hand-collected dataset of MNEs’ philanthropic donation for the 2008 Sichuan Earthquake in China, we find that MNEs imitate their home-country peers first but shift to host-country industry competitors after an online social movement. This is because the online social movement delegitimizes MNEs as a category and suggests host-country industry peers as the new model for comparison. Further, we find that liability of foreignness impedes whereas firm reputation facilitates an MNE’s adaptation after the online social movement. Our paper contributes to the literatures on MNEs’ imitation behavior and CSR in emerging market. We also contribute to category theory by integrating self-categorization and categorical imperative and highlighting the role of social movements. (shrink)

本书介绍曾子的身世背景、曾子的生平、曾子的著作、曾子的思想、曾子与《孝经》的关系、《孝经》的思想内容、《孝经》的影响、历代对曾子的推崇。.

This is an exploratory paper of the ethical implications for genomic research and mental illness with specific reference to Singapore. Singapore has a unique context due to its social and political systems, and although it is a relatively small country, its population is religiously and culturally diverse. The issues that we identify here, therefore, will offer new perspectives and will also shed light on the existing literature on psychiatric genomics in society. We contextualise issues such as risk and stigma in (...) the identification and diagnosis of psychosis in the way they relate to Singaporean society, and use a current study as a case example. Genomic research has the potential to change significantly he practice of clinical medicine if, as expected, fast and inexpensive sequencing becomes a reality. It will likely also change how society thinks and acts in respect to multi-factorial diseases, conditions, traits, and syndromes that have a genetic component. Genomic research already raises a number of ethical concerns relating to the privacy of individuals, including the disclosure of research results and incidental findings, surreptitious tests, third party access to data, and the re-emergence of genetic determinism. These issues are potentially exacerbated when genomics - the study of whole genomes to understand complex illness and behavioural traits - is applied to psychiatric research, because of the stigma that is often attached to mental illness. In this paper, we discuss some of the issues that have arisen in the context of a study in Singapore that is currently investigating the genomics and biomarkers of psychosis. We argue that although a genomic study rarely creates data that is directly useful to the participant, it can have incidental benefits to the individual who is identified during the study as being at high risk of developing psychosis and its related states. Understanding these potential benefits requires us to examine the implications that this type of research may have on public understandings of genomic data and risk. (shrink)

The study aims to explore the psychology and behavior of employees in organizations in enterprise innovation. Based on the human resource management system, organizational psychological ownership, and other related theories, the transformational leaders and their advice behavior in start-ups are taken as the research object. The data obtained from the questionnaire as the research samples. Second, the influence and intermediary effect of employees’ organizational psychological ownership on colleagues, leaders, and the whole enterprise are discussed, and the corresponding conclusions are drawn. (...) The results show that the path coefficients of transformational leaders of start-up enterprises for employees’ advice to their superiors and their peers are 0.28 and 0.31, respectively, and p < 0.01. Therefore, transformational leadership has a positive impact on both elements. In the relationship between organizational psychological ownership and employee creativity, the r value is 0.34 and p < 0.01. This shows that organizational psychological ownership positively correlates with employees’ creativity. In addition, corporate support can mediate employees’ behavior and psychological ownership in the organization and has a positive correlation in support, identity, and care. Therefore, the impact of organization-employees relations on employees’ innovation behavior is discussed based on organizational psychology and culture, which can improve employees’ subjective initiative for work and provides ideas for the management and development of start-ups. (shrink)

With the rapid growth of various complex networks, link prediction has become increasingly important because it can discover the missing information and predict future interactions between nodes in a network. Recently, the CAR and CCLP indexes have been presented for link prediction by means of different triangle structure information. However, both indexes may lose the contributions of some shared neighbors. We propose in this work a new index to make up the weakness and then improve the accuracy of link prediction. (...) The proposed index focuses on a new triangle structure, i.e., the triangle formed by one seed node, one common neighbor, and one other node. It emphasizes the importance of these triangles but does not ignore the contribution of any common neighbor. In addition, the proposed index adopts the theory of resource allocation by penalizing large-degree neighbors. The results of comparison with CN, AA, RA, ADP, CAR, CAA, CRA, and CCLP on 12 real-world networks show that the proposed index outperforms the compared methods in terms of AUC and ranking score. (shrink)

This study reveals that increases in the global population command an augmented demand for products and services that calls for more effective ways of using existing natural resources and materials. The recent development of information and communication technologies, which had a great impact on many areas, also had a damaging effect on the environment and human health. Therefore, societies are moving toward a greener future by reducing the consumption of nonrenewable materials, raw materials, and resources while at the same time (...) decreasing energy pollution and consumption. Since information technology is considered a tool for solving ecological difficulties, the green Internet of things is playing a vital role in creating a sustainable home. Extensive data analysis is required to obtain a valuable overview of the large and diverse data generated by the G-IoT. The gathered information will facilitate forecasting, decision-making, and other activities related to smart urban services and then contribute to the incessant development of G-IoT technology. Therefore, even if sustainable and smart cities become an actuality, the G-IoT approach and the knowledge gained through big data analysis will make cities more sustainable, safer, and smarter. The goal of this article is to combine innovation in technological development with the main focus on resource sharing in creating cities that improve the quality of life while reducing pollution and realizing more efficient use of the raw materials. In the practice of big data science, it is always of interest to provide the best description of the data under consideration. Recent studies have pointed out the applicability of the statistical distributions in modeling data in applied sciences. In this article, we introduce a new family of statistical models to provide the best description of the life span of the wireless sensors network’s data. Based on the proposed approach, a special submodel called new exponent power-Weibull distribution is studied in detail. The applicability of the proposed model is shown by analyzing the life span of the wireless sensors network’s data. (shrink)

A sequent calculus S for the variety tqBa of all topological quasi-Boolean algebras is established. Using a construction of syntactic finite algebraic model, the finite model property of S is shown, and thus the decidability of S is obtained. We also introduce two non-distributive variants of topological quasi-Boolean algebras. For the variety TDM5 of all topological De Morgan lattices with the axiom 5, we establish a sequent calculus S5 and prove that the cut elimination holds for it. Consequently the decidability (...) of S5 is established. Furthermore, this proof-theoretic method is applied to some subvarieties of TDM5. (shrink)

This book examines the pedagogical encounters within children's ecological and socio-cultural historical contexts, and aspects of playful learning and development within these contexts. It addresses research and practices varying across learning contexts, providing easily adaptable exemplary practices leading to children's positive learning and development. The book offers a unified general cultural-historical theoretical model for exploring new contexts at different stages of children's learning and development. It suggests studying contexts as a source of development, as social situations of development. It analyzes (...) play, early learning and the transition from play to school learning. It also explores the role of teachers and parents in supporting the development of executive functions, digital literacy, creative inquiries, problem solving and creativity as necessary and important prerequisites of children's school academic achievements. This volume contributes to the discourse on how children's learning is shaped in the 21st century era. It equips educators and parents with new and effective methods of creating developing contexts in their daily practice and to fully utilize the developing potential of existing contexts. (shrink)

Integrating stakeholder agency theory with the instrumental corporate social responsibility (CSR) literature, this study explores how award-winning CEOs consider personal interests and balance competing stakeholder demands when they decide between external and internal CSR, or CSR focus. Using a difference-in-differences research design, we find that after winning a prestigious media award, CEOs engage in more external CSR, which is more visible to the public, and less internal CSR, which is less likely to attract public attention. We find that such an (...) influence on CSR focus is more salient for award-winning CEOs with lower stock ownership (i.e. a stronger self-serving motivation) than for CEOs with higher stock ownership. Furthermore, we explore the role of stakeholder salience in modifying award-winning CEOs’ decisions about CSR focus. When external stakeholder salience is higher (e.g. higher media coverage), award-winning CEOs' manipulation of CSR focus by increasing external CSR and decreasing internal CSR is more salient. However, such effects can be dampened when internal stakeholder salience is higher (e.g. higher human capital intensity). Our study contributes to the instrumental CSR literature by demonstrating the underlying processes and boundary conditions of how awards affect CEOs' balance of stakeholder salience. (shrink)

Dvaita rejoinder to Śrīnivāsācārya's Tattvamārtaṇḍa, 18th century Viśiṣṭādvaita polemic.

By incorporating the conservation of resource theory, this study examines how high-performance work practices (HPWPs) affect the employee's in-role performance (EIRP) and employee's task performance (ETP) during the coronavirus disease 2019 (COVID-19) pandemic. Furthermore, this study investigates how organization-based self-esteem (OBSE) and positive psychological capital (PPC) affect the relationship between HPWPs and outcomes of employees such as EIRP and ETP. A quantitative technique based on the survey method was used to gather the primary data of the investigation. Two hundred and (...) eleven bank employees working in different banks of Punjab and Pakistan participated in the survey process. The PROCESS-macro was used to test the relationship among the study constructs. Our results supported all the study hypotheses, however positive psychological capital did not moderate the indirect effect of high performance work practices on employee's task performance via organization based self-esteem. This study is the earliest of its kind that focuses on HPWPs and outcomes of employees amid the COVID-19 pandemic in a developing country like Pakistan. The findings of this study provide practical implications in the post and continuing pandemic situation for organizations to human resource management to redesign workforce strategies to increase their contribution and responses to realize organizational priorities. Although researchers have explored the topic in different sectors, scant studies have investigated the potential impact, barriers, and enabling mechanisms that function as a catalyst in HPWPs during the pandemic situation. (shrink)

Since March 14, 2020, Spanish citizens have been confined to their homes due to the impact of the COVID-19 pandemic. Participating in musical activities has been associated with reduced anxiety and increased subjective wellbeing. The aim of this study is to analyze how Spanish citizens used music during the lockdown period. We also study perceptions of the impact music has in everyday life, in particular examining the respondents’ insights into the effects of listening to music in situations of isolation. The (...) study was conducted using the MUSIVID19 questionnaire administered to a total of 1868 Spanish citizens. The results indicate that during lockdown, respondents perceived an increase in the time they devoted to musical activities such as listening, singing, dancing or playing an instrument. The participants also reported using music to cope with the lockdown, finding that it helped them to relax, escape, raise their mood or keep them company. The findings suggest an improvement in their perception of the value of music in personal and social wellbeing during the lockdown. However, the study reveals significant differences in the use and perceptions of music according to respondents’ personal situations. Age and feelings of vulnerability may lead to more conservative uses of musical practice and to more moderate perceptions of the positive values of music. (shrink)