Social network theory is an important paradigm of social structure research, which has been widely used in various fields of research. This paper reviews the development process and the latest progress of social network theory research and analyzes the research application of social network. In order to reveal the deep social structure, this paper analyzes the structure of social networks from three levels: microlevel, mesolevel, and macrolevel and reveals the origin, development, perfection, and latest achievements of complex network models. The (...) regular graph model, P1 model, P2 model, exponential random graph model, small-world network model, and scale-free network model are introduced. In the end, the research on the social network structure is reviewed, and social support network and social discussion network are introduced, which are two important contents of social network research. At present, the research on social networks has been widely used in coauthor networks, citation networks, mobile social networks, enterprise knowledge management, and individual happiness, but there are few research studies on multilevel structure, dynamic research, complex network research, whole network research, and discussion network research. This provides space for future research on social networks. (shrink)

Research on ethical leadership in organizations has been largely based on Western philosophical traditions and has tended to focus on Western corporate experiences. Insights gained from such studies may however not be universally applicable in other cultural contexts. This paper examines the normative grounds for an alternative Confucian virtue-based ethics of leadership in China. As with Western corporations, organizational practices in China are profoundly shaped by their own cultural history and philosophical outlook. The ethical norms guiding both the practice and (...) theory of leadership in China are underpinned by indigenous Chinese wisdoms imbued in their own traditions and China’s collective psyche. Focusing on three fundamental aspects of Confucian virtue ethics: _ren_ (仁 benevolence), _yi_ (义 righteousness) and _li_(礼 ritual propriety), this paper proposes that an ideal Confucian leader regards self-cultivation as a first priority; status and material gain, whilst important, are not the foremost concern. S/he exemplifies the virtuous role model, exudes moral charisma and influences others by shaping an organization’s ethical culture through the process of ritualization. The paper concludes by claiming that amplifying the explicit discourse around Confucian virtue ethics will help contribute to the development of better ethical leadership in China. (shrink)

: This is a study of the Confucian ideal of harmony and harmonization (he 和). First, through an investigation of the early development of he in ancient China, the meaning of this concept is explored. Second, a philosophical analysis of he and a discussion of the relation between harmony, sameness, and strife are offered. Also offered are reasons why this notion is so important to Confucian philosophy. Finally, on the basis of value pluralism, a case is made for the Confucian (...) approach of he to the politics of today's world culture. (shrink)

The Chinese Aesthetic Tradition touches on all areas of artistic activity, including poetry, painting, calligraphy, architecture, and the "art of living." Right government, the ideal human being, and the path to spiritual transcendence all come under the provenance of aesthetic thought. According to Li this was the case from early Confucian explanations of poetry as that which gives expression to intent, through Zhuangzi’s artistic depictions of the ideal personality who discerns the natural way of things and lives according to it, (...) to Chan Buddhist-inspired notions that nature and words can come together to yield insight and enlightenment. In this enduring and stimulating work, Li demonstrates conclusively the fundamental role of aesthetics in the development of the cultural and psychological structures in Chinese culture that define "humanity.". (shrink)

Translated, with a philosophical introduction.

We present a theoretical rationale and supporting studies revealing how unethical leader behavior fosters an unethical climate within workgroups that increases member turnover intentions and malfeasance. Drawing on the attraction–selection–attrition model of organizational behavior, we propose a selective attrition effect whereby unethical leader behavior results in the retention of group members who are more comfortable with dishonesty and, consequently, more likely to engage in unethical behavior toward their group. In two experiments, exposure to unethical leader behavior increased group members’ likelihood (...) of choosing to leave the group. Members who chose to remain in a group with an unethical leader were more likely than those who chose to leave to cheat their group in a subsequent task. A two time-period survey replicated these findings and identified psychological distress as the mechanism driving group members’ turnover intentions. This research extends our understanding of the complex relationships between unethical leadership and follower turnover intentions, psychological distress, and malfeasance. We contribute to the behavioral ethics literature by identifying a previously underappreciated form of selective attrition that produces internal costs to groups and organizations, independent of reputational consequences and whether the unethicality is publicized. (shrink)

Capitalist reforms usually drive outmigration of peasants to cities, while elders, children, and women responsible for their care are “left behind” in the countryside. The plight of these “left behind” populations is a major focus of recent agrarian studies in China. However, rural women are not merely passive victims of these transformations. Building on ethnographic research in Guangxi and Henan provinces from 2013 to 2017, and drawing on critical gender studies and feminist political ecology, I show how the food safety (...) crisis in China creates conditions for peasant women to increase control and income from organic food production, often establishing alternative food networks with the support of female scholars and NGO organizers. Thus, I shift focus of scholarship on rural women from “left behind” to leaders in struggles for justice and food sovereignty. (shrink)

Humans can learn complex functional relationships between variables from small amounts of data. In doing so, they draw on prior expectations about the form of these relationships. In three experiments, we show that people learn to adjust these expectations through experience, learning about the likely forms of the functions they will encounter. Previous work has used Gaussian processes—a statistical framework that extends Bayesian nonparametric approaches to regression—to model human function learning. We build on this work, modeling the process of learning (...) to learn functions as a form of hierarchical Bayesian inference about the Gaussian process hyperparameters. (shrink)

Previous studies argue that religious firms are more ethical and thus engage less in accrual earnings management. At odds with the ethical view, we use a sample of Chinese listed firms and show that firms in religious regions use more real earnings management. We postulate that besides ethics, religion also proxies for risk aversion, which motivates firms to substitute accrual earnings management with real earnings management. Consistent with this view, we show that the positive association between religiosity and real earnings (...) management is more pronounced for firms with lower litigation risk and for firms with less reputable auditors. In addition, we use a mediation model introduced by Baron and Kenny :1173–1182, 1986) to show that religiosity affects earnings management through the channel of risk aversion. We conclude that firms choose real earnings management over accrual-based earnings management because of risk aversion, rather than ethical reasons. (shrink)

In this paper, I provide policymakers, who rely on science to address their missions, with two arguments for improving science for social benefits. I argue for a refined concept of social robustness that can distinguish socially appropriate cases of political reliance on science from inappropriate ones. Both of the constituents are essential for evaluating the social suitability of science-relevant policy or action. Using four cases of population control, I show that socially inappropriate political reliance on science can make science epistemically (...) and socially harmful. Moreover, I argue that such an evaluation process should be supported by a political culture of mutual criticism within science and society. This demands freedom of expression and critical examination of science-relevant policy consequences in view of a sufficiently wide range of social value commitments. This paper suggests that the same considerations of social robustness and political culture of mutual criticism should be of general relevance for policymakers engaging in debates about science and values such as those regarding climate change. (shrink)

A set of sentential revision operations can be generated in a select-direct way within a new framework for belief change named descriptor revision firstly introduced in Hansson [8]. In this paper, we adopt another constructive approach to these operations, based on a relation \ on sentences named believability relation. Intuitively, \ means that the subject is at least as prone to believe or accept \ as to believe or accept \. We demonstrate that so called H-believability relations and basic believability (...) relations, the second of which the is axiomatically characterized with a set of weak postulates, are faithful alternative models for two typical select-direct sentential revision operations. Then we investigate additional postulates on believability relations that correlate with properties of the generated revision operations. Finally, we show that traditional AGM revision operations can be reconstructed from a strengthened variant of the basic believability relation and there is a close connection between this relation and the standard epistemic entrenchment relation. (shrink)

Objective wealth plays an important role in social interaction and economic decision making. Previous studies indicate that objective wealth of others may influence the way we participate in resources allocation. However, the effect of objective wealth on responses to fairness-related resource distribution is far from clear, as are the underlying neural processes. To address this issue, we dynamically manipulated proposers’ objective wealth and analyzed participants’ behavior as responders in a modified Ultimatum Game, during which event-related potentials were recorded. Behavioral results (...) showed that participants were prone to reject unfair proposals although that rejection would reduce their own benefit. Importantly, participants were more likely to accept unfair offers from proposers with low objective wealth than from proposers with high objective wealth, with a drastic increase in acceptance rates of unfair offers from 32.79 to 50.59%. Further electrophysiological results showed that there was significantly enhanced feedback-related negativity amplitude toward proposers with high objective wealth for unfair offers. Furthermore, the late frontal negativity amplitude was larger for all the conditions which are not high-fair, which might be the only option that did not elicit any ambiguity. These findings suggest a strong role of proposers’ objective wealth in modulating responders’ behavioral and neural responses to fairness. (shrink)

AimsA negative association between the lower level of psychological resilience and increased risk of compassion fatigue and higher Coronavirus disease 2019 stress has been revealed. However, bibliometric studies have not been performed to comprehensively investigate this topic. This study aimed to identify the status and trends in the CF and PR field from 2008 to 2021 and during the COVID-19 pandemic.MethodsWe identified relevant literature from the Web of Science Core Collection® database using “resilience” and “compassion fatigue” on September 30, 2021. (...) All search results were exported in plain text format for collaboration network analysis, reference-based co-citation analysis, analysis of journals, and keywords-based co-occurrence analysis, which were performed using Citespace® 5.8.R1.ResultsA total of 388 publications were identified finally, and there has been an increasing trend in the annual number of publications with light fluctuations. The analysis of journals and keywords indicated that nurses and social workers are the main research targets, and their mental problems are the main research topics. The turnover intention of health care providers has been a research focus, particularly during the COVID-19.ConclusionThe results of the present study help us understand the status of the CF and PR field and its recent developments. (shrink)

This paper argues that the value of openness to epistemic plurality and the value of social responsiveness are essential for epistemic agents such as scientists who are expected to carry out non-epistemic missions. My chief philosophical claim is that the two values should play a joint role in their communication about earthquake-related damages when their knowledge claims are advisory. That said, I try to defend a minimal normative account of science in the context of communication. I show that these epistemic (...) agents when acting as communicators may encounter various epistemic and practical uncertainties in making their knowledge claims. Using four vignettes, I show that the value of openness to epistemic plurality and the value of social responsiveness may best serve their epistemic and practical purposes across different contexts by reducing their epistemic and practical risks associated with the knowledge claims they communicated. The former may reduce the risks of prematurely excluding epistemic alternatives and is conducive to two types of epistemic plurality; the latter is supposed to reduce the risks of making self-defeating advisory claims and harmful wishful speaking by minimizing the values in tension that can be embedded in the social roles the epistemic agents play. (shrink)

Affect plays an important role in the consumer decision-making process and there is growing interest in the development of new technologies and computational approaches that can interpret and recognize the affects of consumers, with benefits for marketing described in relation to both academia and industry. From an interdisciplinary perspective, this paper aims to review past studies focused on electroencephalography (EEG)-based affective computing (AC) in marketing, which provides a promising avenue for studying the mechanisms underlying affective states and developing recognition computational (...) models to predict the psychological responses of customers. This review offers an introduction to EEG technology and an overview of EEG-based AC; provides a snapshot of the current state of the literature. It briefly presents the themes, challenges, and trends in studies of affect evaluation, recognition, and classification; and further proposes potential guidelines for researchers and marketers. (shrink)

The paper attends to the increasingly heated debate on the local, the global versus the glocal approaches in transcultural brand communication with an examination of how Disneyland performs emotional branding on social media across US to Hong Kong and Shanghai. Integrating insights from brand communication with linguistics, the present study develops a framework to examine how Disneyland builds emotional attachment of the public to the brand via brand personality appeals and use of interactional features. It is found that on a (...) global-local continuum, brand personality traits exhibit strong globalization propensity whereas interactional features demonstrate strong localization tendency in Hong Kong and Shanghai. Variations also exist in the means of emotional branding between Hong Kong and Shanghai. Finally, the paper provides an account for the differences between Hong Kong and Shanghai and concludes that neither the local approach nor the global approach but the glocal approach can tackle the challenge of transcultural brand communication and that future studies in this area should be oriented further to uncovering the global-local nexus in the process. (shrink)

Bowers et al. propose to use controlled behavioral experiments when evaluating deep neural networks as models of biological vision. We agree with the sentiment and draw parallels to the notion that “neuroscience needs behavior.” As a promising path forward, we suggest complementing image recognition tasks with increasingly realistic and well-controlled task environments that engage real-world object recognition behavior.

We give a survey of the study of nonstandard models in recursion theory and reverse mathematics. We discuss the key notions and techniques in effective computability in nonstandard models. and their applications to problems concerning combinatorial principles in subsystems of second order arithmetic. Particular attention is given to principles related to Ramsey's Theorem for Pairs.

In this paper, we study the estimation of motion direction prediction for fast motion and propose a threshold-based human target detection algorithm using motion vectors and other data as human target feature information. The motion vectors are partitioned into regions by normalization to form a motion vector field, which is then preprocessed, and then the human body target is detected through its motion vector region block-temporal correlation to detect the human body motion target. The experimental results show that the algorithm (...) is effective in detecting human motion targets in videos with the camera relatively stationary. The algorithm predicts the human body position in the reference frame of the current frame in the video by forward mapping the motion vector of the current frame, then uses the motion vector direction angle histogram as a matching feature, and combines it with a region matching strategy to track the human body target in the predicted region, thus realizing the human body target tracking effect. The algorithm is experimentally proven to effectively track human motion targets in videos with relatively static backgrounds. To address the problem of sample diversity and lack of quantity in a multitarget tracking environment, a generative model based on the conditional variational self-encoder conditional generation of adversarial networks is proposed, and the performance of the generative model is verified using pedestrian reidentification and other datasets, and the experimental results show that the method can take advantage of the advantages of both models to improve the quality of the generated results. (shrink)

Based on the assumption that the long-term value of a venture capital satisfies the algebraic Brownian motion, we develop a continuous-time exit model of venture capital under different exit modes, namely, initial public offering and mergers and acquisitions. The employee incentive problem is analyzed jointly with the exit decision of the firm in terms of the exit timing and the exit mode. Further, the problem of capital exit is considered from two perspectives, namely, optimal venture capital and social welfare maximization, (...) and the differences between these exit decisions are compared. Our model predicts that the timing of an IPO, the purpose of which is to maximize the utility of the capitalists, lags behind the exit timing, whose purpose is to maximize social welfare. Using a numerical analysis, this paper also proves that increasing the production efficiency, lowering the interest rates, and improving risk management can make the exit decision of venture capitalists converge with that of maximizing social welfare. (shrink)

This paper argues that Hans Blumenberg’s theory illuminates a novel interpretation of the phenomenological concept of the lifeworld—as a world sustained by myths and their receptions. This paper combines two central themes in Blumenberg’s philosophy: his interpretation of Edmund Husserl and his aesthetics, especially his theory of the novel and of myth. My claim to originality is to offer a mythology of the lifeworld with the help of one of Blumenberg’s less-known texts, “Wirklichkeitsbegriff und Wirkungspotential des Mythos.” In the first (...) part, I will examine a crucial aspect in Blumenberg’s reading of Husserl’s notion of the lifeworld, namely the unorthodox view that the lifeworld, as the foundation for sciences and their logos, itself has no need to resort to language. To put it mythically: the lifeworld is an expressionless state of naivety. To support this deconstructive reading, I will then turn to Blumenberg’s theory of the novel. As has been noticed by Blumenberg and his colleagues, the underlying meaning structure of the novel, or its “concept of reality,” has a typically modern character, and largely overlaps with the phenomenological idea of the world and lifeworld. However, in the second part, I will radicalize Blumenberg’s discussions about reality, and show that the novelistic reality can never fully supersede that of myth. Mythology has a persistent existence, and, in Blumenberg’s argument, the history of mythical reception reveals a perpetual movement of human struggle against terror. In this Blumenbergian philosophy of mythology, a new image of the lifeworld presents itself, a world made by the myth-telling humans, by their active and aesthetic use of words, instead of slumbers of naivety. (shrink)

As an industrial science, vaccinology is susceptible to changing social, economic and political frameworks. This article reconstructs the history of the birth of the Sabin strains-derived inactivated polio vaccine (sIPV) in China. The development of this nascent vaccine can be attributed first and foremost to the circulation of knowledge and technology in the global polio research network of the 1980s, before the privatization of vaccine manufacturing and the escalation of intellectual-property protections. Tracing correspondence between Jonas Salk and a Chinese scientist, (...) Jiang Shude, and his colleagues, we chart how institutional efforts in search of a profitable product and scientists’ motives in pursuing personal careers in the post-socialist reform era led to collaboration on many levels, centered around polio vaccines. In response to recent polio history research, we also emphasize the impact of multiple temporalities of polio dramaturgy on the vaccine manufacturer, as this article demonstrates how the confluence of shifting global polio eradication agendas and contingencies in complex vaccinology undertakings ironically helped to materialize the idea of the sIPV. Finally, stories of vaccines and scientists in China add compelling subplots to the global polio history, which reveals the need to reconsider the politicization of imported technology in broader socialist contexts.A letter dated ‘3 June 1986’ was mailed from Jonas Salk to Jiang Shude (姜述德). Jiang had been an unknown vaccinologist working at the Institute of Medical Biology (IMB) in Flower Red Cave in the Western Hills of Kunming, in south-western China. Salk had visited two years earlier to discuss the feasibility of the IMB's proposal to manufacture inactivated polio vaccine (IPV). The initial collaborative plan had come to a halt by the time Salk wrote the letter to Jiang; still, he kindly offered Jiang an opportunity to travel to Bilthoven and then Lyon to learn IPV-related technology with a generous $10,000 grant for his one-year stay in Europe.1. (shrink)

This study takes the mountainous villages in central Shandong as the research object, which becomes the entry point for studying the concepts of cultural landscape and revitalization. This study examines some villages with special cultural landscapes due to their unique physical space. Later, due to industrialization, they suffered a cultural crisis and then revitalized after restoration, and then reused it to generate value. It explores the interdependent relationship between the natural environment, people, and society in the mountainous area, including the (...) spatial production and value reuse of the village cultural landscape. Through this study, not only the theoretical connotation of concepts such as cultural landscape and spatial production is enriched, but also the intrinsic connection between the characteristics of village cultural landscape and revitalization is revealed. At the same time, the study also proposed new knowledge about value reuse and revitalization, that is, things in the past can not only retain their old value in the present but also generate new value. This study will further enrich the content of the theoretical research on cultural landscape and revitalization and help to understand the revitalized villages worldwide. (shrink)

Choice revision is a sort of non-prioritized multiple revision, in which the agent partially accepts the new information represented by a set of sentences. We investigate the construction of choice revision based on a new approach to belief change called descriptor revision. We prove that each of two variants of choice revision based on such construction is axiomatically characterized with a set of plausible postulates, assuming that the object language is finite. Furthermore, we introduce an alternative modelling for choice revision, (...) which is based on a type of relation on sets of sentences, named multiple believability relation. We show without assuming a finite language that choice revision constructed from such relations is axiomatically characterized with the same sets of postulates that we proposed for the choice revision based on descriptor revision, whenever the relations satisfy certain rationality conditions. (shrink)

As professional football stadiums continue to grow in popularity worldwide, fans are able to watch the game in closer proximity, but the design of professional football stadiums to shorten the distance between fans and the playing field also exacerbates the impact of the home advantage on the referee’s decision to call a penalty. Studies have confirmed the existence of the home advantage and found that experienced referees can reduce the impact of this interference, but the neural mechanisms behind this phenomenon (...) have not been adequately investigated. In this study, we designed a soccer referee decision making task based on a home field effect scenario in a real soccer game, and used event-related potentials to compare the decision making and EEG differences between individuals with different experience levels when faced with foul actions under spectator noise interference. The experiments showed that individuals with different experience levels triggered a significant ERN EEG component when performing the penalty decision task under the home field effect factor, suggesting that the interference of the home field effect may lead referees to correct their previous decision-making behavior patterns in the penalty decision and reduce unfavorable calls against the home team. In contrast, referees with officiating experience elicited smaller ERN amplitudes compared to other subjects, suggesting that experience factors may inhibit this tendency to change behavioral patterns. This study suggests that in response to the increasing trend of professional football stadiums, policy makers should place more emphasis on enhancing the experience level of referees in the training of referees to ensure the fairness of the game. (shrink)

Lithium-ion batteries have been widely used as energy storage systems and in electric vehicles due to their desirable balance of both energy and power densities as well as continual falling price. Accurate estimation of the state-of-charge of a battery pack is important in managing the health and safety of battery packs. This paper proposes a compact radial basis function neural model to estimate the state-of-charge of lithium battery packs. Firstly, a suitable input set strongly correlated with the package SOC is (...) identified from directly measured voltage, current, and temperature signals by a fast recursive algorithm. Secondly, a RBF neural model for battery pack SOC estimation is constructed using the FRA strategy to prune redundant hidden layer neurons. Then, the particle swarm optimization algorithm is used to optimize the kernel parameters. Finally, a conventional RBF neural network model, an improved RBF neural model using the two stage method, and a least squares support vector machine model are also used to estimate the battery SOC as a comparative study. Simulation results show that generalization error of SOC estimation using the novel RBF neural network model is less than half of that using other methods. Furthermore, the model training time is much less than the LSSVM method and the improved RBF neural model using the two-stage method. (shrink)