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)

Unrealistic therapeutic beliefs are very common—the majority of patient-subjects (up to 94%) enrol in phase 1 trials seeking and expecting significant medical benefit, even though the likelihood of such benefit has historically proven very low. The high prevalence of therapeutic misestimation and unrealistic optimism in particular has stimulated debate about whether unrealistic therapeutic beliefs in early-phase clinical trials preclude adequate informed consent. We seek here to help resolve this controversy by showing that a crucial determination of when such therapeutic beliefs (...) are ethically problematic turns on whether they are causally linked and instrumental to the motivation to participate in the trial. Thus, in practice, it is ethically incumbent on researchers to determine which understanding and beliefs lead to the participant’s primary motivation for enrolling, not to simply assess understanding, beliefs and motivations independently. We further contend that assessing patient-subjects’ appreciation as a component of informed consent—it is already an established component of decision-making capacity assessments—can help elucidate the link between understanding-beliefs and motivation; appreciation refers to an individual’s understanding of the personal significance of both the medical facts and the experience of trial participation. Therefore, we recommend that: (1) in addition to the usual question, ‘Why do you want to participate in this trial?’, all potential participants should be asked the question: ‘What are you giving up by participating in this trial?’ and (2) researchers should consider the settings in which it may be possible and practical to obtain ‘two-point consent’. (shrink)

In recent years, there has been an escalation in cases of cyber violence, which has had a chilling effect on users' behavior toward social media sites. This article explores the causes behind cyber violence and provides empirical data for developing means for effective prevention. Using elements of the stimulus–organism–response theory, we constructed a model of cyber-violence behavior. A closed-ended questionnaire was administered to collect data through an online survey, which results in 531 valid responses. A proposed model was tested using (...) partial least squares structural equation modeling using SmartPLS 3.0, v. Research findings show that information inequality is a strong external stimulus with a significant positive impact on digital distrust and negative emotion. However, the effects of information overload on digital distrust and the adverse effects of communication overload on negative emotions should not be ignored. Both digital distrust and negative emotions have significant positive impacts on cyber violence and cumulatively represent 11.5% changes in cyber violence. Furthermore, information overload, communication overload, information inequality, and digital distrust show a 27.1% change in negative emotions. This study also presents evidence for competitive mediation of digital distrust by information overload, information inequality, and cyber violence. The results of this study have implications for individual practitioners and scholars, for organizations, and at the governmental level regarding cyber-violence behavior. To test our hypotheses, we have constructed an empirical, multidimensional model, including the role of specific mediators in creating relationships. (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)

Psychological well-being is an important indicator of well-being and has been found to be associated with a multitude of positive life outcomes. Using data collected from 1,871 Chinese college students from September 23 to October 5, 2020, this study examined students' psychological well-being during the COVID-19 pandemic and investigated how resilience and pandemic-related environmental stress may affect psychological well-being. Results showed that resilience had strong positive effects on psychological well-being during the pandemic. Meanwhile, environmental stress had a moderate effect and (...) marginally reduced psychological well-being. The magnitudes of the estimates suggested that increasing resilience can effectively buffer the negative effect of environmental stress on psychological well-being. (shrink)

The mechanism of how the COVID-19 global pandemic has affected the entrepreneurial intentions of college students remains unknown. To investigate the impact of the entrepreneurial environment on entrepreneurial self-efficacy and entrepreneurial intentions in the post-pandemic era, 913 college students were invited to complete a questionnaire. The data were analyzed with structural equation models. The conclusions revealed by the questionnaire are as followed: college students have retained some entrepreneurial intention in the post-pandemic era; the factors influencing the entrepreneurial intention include sex, (...) family entrepreneurial history, major, and education background; and entrepreneurial self-efficacy can play a major role to mediate the impact caused by the post-pandemic entrepreneurial environment on entrepreneurial intentions. The research conclusions provide important insights to improve college students’ entrepreneurial intentions in the post-pandemic environment. (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)

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)

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)

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)

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)

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)

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。.

Up till now, China has not enacted any legal mechanisms governing certification or supervision for ethics committees. This article analyses deficiencies in the protection of subjects in clinical drug trials under China’s current laws and regulations; it emphasizes that investigators, as practitioners who have direct contact with subjects, play significant roles in protecting and safeguarding subjects’ rights and interests. The paper compares the status quo in China in this area to that of other countries and discusses ways China might enhance (...) the protection of rights and interests of trial subjects, such as enhancing the ethical awareness of investigators through training, improving laws and regulations, and strengthening the communication between investigators and ethics committees. (shrink)

It is commonplace to encounter nonstationary or heterogeneous data, of which the underlying generating process changes over time or across data sets. Such a distribution shift feature presents both challenges and opportunities for causal discovery. In this paper we develop a principled framework for causal discovery from such data, called Constraint-based causal Discovery from Nonstationary/heterogeneous Data, which addresses two important questions. First, we propose an enhanced constraint-based procedure to detect variables whose local mechanisms change and recover the skeleton of the (...) causal structure over observed variables. Second, we present a way to determine causal orientations by making use of independence changes in the data distribution implied by the underlying causal model, benefiting from information carried by changing distributions. Experimental results on various synthetic and real-world data sets are presented to demonstrate the efficacy of our methods. (shrink)

Twenty classes in ten schools with 627 sixth?grade students in five cities in Taiwan participated in this study. The research provides information on the performance differences among written computation, pictorial representation, symbolic representation and number sense. The results of One?way ANOVA analysis indicate that significant difference was found among WCT, PRT, SRT and NST tests, with F=536.327, p=0.000. The a posteriori comparisons show for each pair (WCT vs PRT, WCT vs SRT, WCT vs NST, PRT vs SRT and SRT vs (...) NST) significant difference at the 0.001 level (p=0.000), except for the pair comparison between PRT and NST. This implies that these Taiwanese students were highly skilled in written computation but their written skills were not equally transferred to use of non?computational paths that depended on symbolic representation, pictorial representation and number sense to solve similar problems. (shrink)

The reason for the emergence of consciousness of filial piety is that parental care could activate reciprocal filial piety. Parental care and filial piety are two supplementary phenomena caused by the same time consciousness. Phenomenology neglects consciousness of filial piety because it lacks the thinking that sees the fundamental “meaning of time” in the intersection of “past” and “future”. The consciousness of filial piety can only be really constituted by a human being’s personal experience. “Frustrations in personal life” and “breeding (...) of children for oneself” are two occasions for an adult to fight against the separating effect of individualized consciousness and regain awareness of filial piety. (shrink)

In the employment relationship, organizational factors are the main factors that affect employee behavior. Especially for knowledge-based workers, it is even more crucial for organizations to give enough attention to their individual needs. Based on Existence, Relatedness, and Growth theory, this study constructs a moderated mediating model to explore how the impact of the employee–organization relationship on work engagement and work well-being of knowledge-based employees. In this study, existence–relatedness–growth need satisfaction is used as a mediator and the perceived symbiotic relationship (...) is used as a moderator. Data collected from 791 knowledge-based employees in higher education institutions from more than 20 provinces and cities in China are used to test the model. The results show that EOR has significant positive effects on WE and WWB. Need satisfaction for relatedness partially mediates the effects of EOR on WE and WWB. Need satisfaction for growth mediates the effect of EOR on WE while the mediating role of need satisfaction for growth between EOR and WWB is unsupported. The mediating role of need satisfaction for the existence of EOR on both WE and WWB is unsupported. The perceived symbiotic relationship moderates the relationship between EOR and WE and WWB. The findings are of theoretical significance in expanding the research field of EOR and providing a basis for organizations to implement EOR strategies. (shrink)

One heated argument in recent years concerns whether requiring real names supervision on social media will inhibit users' participation in discoursing online speech. The current study explores the impact of identification, perceived anonymity, perceived risk, and information credibility on participating in discussions on moral/ethical violations event on social network sites (SNS) in China. In this study, we constructed a model based on the literature and tested it on a sample of 218 frequent SNS users. The results demonstrate the influence of (...) identification and perception of anonymity: although the relationship between the two factors is negative, both are conducive to participation in discussion on moral/ethical violation topics, and information credibility also has a positive impact. The results confirmed the significance of risk perception on comments posted about moral/ethical violation. Our results have reference value for identity management and internet governance. Policies regarding users’ real names on the internet need to take into account the reliability of the identity authentication mechanism, as well as netizens’ perceptions of privacy about their identity and the necessity of guaranteeing content and information reliability online. We also offer some suggestions for future research, with a special emphasis on applicability to different cultures, contexts, and social networking sites. (shrink)

本书集合了中德专家学者对启蒙思想的内涵、启蒙与宗教的关系的研究成果。收录了《启蒙的主体》、《宽容是人类独有的财富——启蒙时代的理性概念和普遍主义》、《中国，启蒙何用？》、《启蒙与宗教》、《千万不要跟我 们谈康德！》等研究论文。.

ObjectiveWhen regaining consciousness, patients who emerge from a minimally conscious state (EMCS) present with different levels of functional disability, which pose great challenges for treatment. This study investigated the frontoparietal activity in EMCS patients and its effects on functional disability.Materials and methodsIn this preliminary study, 12 EMCS patients and 12 healthy controls were recruited. We recorded a resting-state scalp electroencephalogram (EEG) for at least 5 min for each participant. Each patient was assessed using the disability rating scale (DRS) to determine (...) the level of functional disability. We analyzed the EEG power spectral density and sensor-level functional connectivity in relation to the patient’s functional disability.ResultsIn the frontoparietal region, EMCS patients demonstrated lower relative beta power (P < 0.01) and higher weighted phase lag index (wPLI) values in the theta (P < 0.01) and gamma (P < 0.01) bands than healthy controls. The frontoparietal theta wPLI values of EMCS patients were positively correlated with the DRS scores (rs = 0.629, P = 0.029). At the whole-brain level, EMCS patients only had higher wPLI values in the theta band (P < 0.01) than healthy controls. The whole-brain theta wPLI values of EMCS patients were also positively correlated with the DRS scores (rs = 0.650, P = 0.022). No significant difference in the power and connectivity between the frontoparietal region and the whole brain in EMCS patients was observed.ConclusionEMCS patients still experience neural dysfunction, especially in the frontoparietal region. However, the theta connectivity in the frontoparietal region did not increase specifically. At the level of the whole brain, the same shift could also be seen. Theta functional connectivity in the whole brain may underlie different levels of functional disability. (shrink)