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)

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)

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)

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)

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)

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)

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)

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。.

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。.

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)

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)

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)

Social-bots-mediated information manipulation is influencing the public opinion environment, and their role and behavior patterns in news proliferation are worth exploring. Based on the analysis of bots' posting frequency, influence, and retweeting relationship, we take the diffusion of The New York Times' coverage of Xinjiang issue on the overseas social platform Twitter as an example and employ the two-step flow model. It is found that in the role of second-step diffusion, unlike posting news indiscriminately in first-step diffusion, social bots are (...) more inclined to postcontroversial information in second-step diffusion; in terms of diffusion patterns, although social bots are more engaged in first-step diffusion than in second-step diffusion and can trigger human users to retweet, they are still inferior to humans in terms of influence. (shrink)

Aiming at the oscillation suppression of spacecraft with large flexible appendages, we propose a control strategy using H∞ control. The weighting functions are designed for the specific flexible modes of the spacecraft and the frequency of harmonic interference in its operating environment. Taking into account the structural uncertainty of systematic modeling and the comprehensive performance requirements of system bandwidth constraint and attitude stability, the H∞ comprehensive performance matrix is constructed. A space telescope with a large flexible solar array is presented (...) as an illustrative example, and a control design that meets the requirement for pointing accuracy is proposed. The simulation results show that the designed controller satisfies the requirements of attitude stability and high pointing accuracy and has effectively suppressed the disturbance of endemic frequency. The design scheme and selection method of the weight function shown in this paper can be a reference for the controller design for oscillation suppression of this type of spacecraft with flexible structures. (shrink)

ObjectiveTwo subregions of the dorsolateral prefrontal cortex have been identified as effective repetitive transcranial magnetic stimulation targets for the “anxiosomatic” and “dysphoric” symptoms, respectively. We aimed to develop a convenient approach to locate these targets on the scalp.Materials and methodsIn a discovery experiment, the two personalized targets were precisely identified on 24 subjects using a neuronavigation system. Then, a localized approach was developed based on individual scalp landmarks. This “landmark-based approach” was replicated and validated in an independent cohort. Reliability of (...) the approach was tested by calculating the correlation of both the inter-rater and intra-rater results. Validity was tested by comparing the mean distance between the personalized and landmark-based targets to the TMS spatial resolution. We further conducted a total of 24 sham rTMS sessions to estimate the misplacement between the coil center and target during a 10-min stimulation without neuronavigation.ResultsThe parameters of the “landmark-based approach” in the discovery experiment were replicated well in an independent cohort. Using discovery parameters, we successfully identified the symptom-specific targets in the independent cohort. Specifically, the mean distance between the personalized and landmark-based targets on the cortex was not significantly larger than 5 mm. However, the personalized and landmark-based targets distance exceeded 5 mm in more than 50% of subjects. During the 10-min sham rTMS session, the average coil misplacement was significantly larger than 5 mm.ConclusionThe “landmark-based approach” can conveniently and reliably locate the two symptom-specific targets at group level. However, the accuracy was highly varied at individual level and further improvement is needed. (shrink)

Previous research has extended the stress literature by exploring the relationship between family incivility and cyberbullying perpetration, yet relatively less attention has been paid to underlying psychological mechanisms between that relationship among university students. According to the Frustration-Aggression Theory, this study examined the relationships of family incivility, cyberbullying perpetration, negative emotions and neuroticism among Chinese university students. Data were collected from 814 university students. The results examined the mechanism through which family incivility was significantly related to cyberbullying perpetration through the (...) mediation of negative emotions, suggesting a strong link of stressful life events to online aggression. In addition, high levels of neuroticism moderated the relationship between family incivility and cyberbullying perpetration, as well as that between family incivility and negative emotions. The study revealed the chronic and potential impact of family incivility, underlined the interaction between stressful life events and online aggression, and put forward the intervention strategies of cyberbullying among university students. (shrink)

何定生是顧頡剛在廣州中山大學任教時的學生，早年即已有文章收錄於《古史辨》中，而享有古史辨學者的光環。一九四九年隨國民政府來臺，任教於臺大中文系。生前出版有《詩經今論》一書，收錄三篇《詩經》研究論文，為 臺灣學界所仰重。一九七○去世後，其弟子何寄澎、曾志雄整理遺稿，出版《定生論學集──詩經與孔學研究》，收錄四篇論著。《何定生著作集》即在此二書的基礎上，復廣泛蒐求其論著、書信與相關資料，編為二冊。第一冊 為《何定生著作集一：詩經、孔學及其他》，第二冊為《何定生著作集二：尚書與文法》，雖尚未能將何氏著作網羅殆盡，但已足將何氏學術的主要面向及研究精華充分展現出來。 何定生深受五四以來新文化運動的影響，繼承顧頡剛及古史辨的學風，將此學風在戰後的臺灣學界持續發皇。何定生的學問主要表現在《詩經》，強調復古解放的精神，他呼籲今日的《詩經》研究，應從清學的漢學壁壘中出來， 以復於原始的樂歌地位。他認為惟有站在《儀禮》的樂歌地位來讀《詩經》，從人性的同類意識來接觸人性，才有碰到詩人靈感的可能。.

本书收录的16篇文章分为两个部分:第一部分属于哲学伦理学部分,包括政治哲学、应用伦理,也涉及到宗教与形而上学;第二部分是社会史部分,解释近三千年中国社会历史方面的初步探讨。.