Continuous subgraph matching problem on dynamic graph has become a popular research topic in the field of graph analysis, which has a wide range of applications including information retrieval and community detection. Specifically, given a query graph q, an initial graph G 0, and a graph update stream △ G i, the problem of continuous subgraph matching is to sequentially conduct all possible isomorphic subgraphs covering △ G i of q on G i. Since knowledge graph is a directed labeled (...) multigraph having multiple edges between a pair of vertices, it brings new challenges for the problem focusing on dynamic knowledge graph. One challenge is that the multigraph characteristic of knowledge graph intensifies the complexity of candidate calculation, which is the combination of complex topological and attributed structures. Another challenge is that the isomorphic subgraphs covering a given region are conducted on a huge search space of seed candidates, which causes a lot of time consumption for searching the unpromising candidates. To address these challenges, a method of subgraph-indexed sequential subdivision is proposed to accelerating the continuous subgraph matching on dynamic knowledge graph. Firstly, a flow graph index is proposed to arrange the search space of seed candidates in topological knowledge graph and an adjacent index is designed to accelerate the identification of candidate activation states in attributed knowledge graph. Secondly, the sequential subdivision of flow graph index and the transition state model are employed to incrementally conduct subgraph matching and maintain the regional influence of changed candidates, respectively. Finally, extensive empirical studies on real and synthetic graphs demonstrate that our techniques outperform the state-of-the-art algorithms. (shrink)

Subgraph matching on a large graph has become a popular research topic in the field of graph analysis, which has a wide range of applications including question answering and community detection. However, traditional edge-cutting strategy destroys the structure of indivisible knowledge in a large RDF graph. On the premise of load-balancing on subgraph division, a dominance-partitioned strategy is proposed to divide a large RDF graph without compromising the knowledge structure. Firstly, a dominance-connected pattern graph is extracted from a pattern graph (...) to construct a dominance-partitioned pattern hypergraph, which divides a pattern graph as multiple fish-shaped pattern subgraphs. Secondly, a dominance-driven spectrum clustering strategy is used to gather the pattern subgraphs into multiple clusters. Thirdly, the dominance-partitioned subgraph matching algorithm is designed to conduct all isomorphic subgraphs on a cluster-partitioned RDF graph. Finally, experimental evaluation verifies that our strategy has higher time-efficiency of complex queries, and it has a better scalability on multiple machines and different data scales. (shrink)

BackgroundThe COVID-19 pandemic called for a new ethical climate in the designated hospitals and imposed challenges on care quality for anti-pandemic nurses. Less was known about whether hospital ethical climate and nurses’ ethical sensitivity were associated with care quality. This study examined the association between the perceived hospital ethical climate and self-evaluated quality of care for COVID-19 patients among anti-pandemic nurses, and explored the mediating role of ethical sensitivity in this relationship.MethodsA cross-sectional study was conducted through an online survey. A (...) total of 399 anti-pandemic nurses from ten designated hospitals in three provinces of China were recruited to fill out an online survey. Multiple linear regression analysis and a bootstrap test were used to examine the relationships between ethical climate, ethical sensitivity and care quality.ResultsNurses reported mean scores of 4.43 ± 0.577 (out of 5) for hospital ethical climate, 45.00 ± 7.085 (out of 54) for ethical sensitivity, and 5.35 ± 0.661 (out of 6) for self-evaluated care quality. After controlling for covariates, perceived hospital ethical climate was positively associated with self-evaluated care quality (direct effect = 0.710, 95% confidence interval [CI] 0.628, 0.792), and was partly mediated by ethical sensitivity (indirect effect = 0.078, 95% confidence interval [CI] 0.002, 0.145).ConclusionsChinese nurses who cared for COVID-19 patients perceived high levels of hospital ethical climate, ethical sensitivity, and self-evaluated care quality. Positive perceptions of hospital ethical climate were both directly associated with a higher level of self-evaluated care quality and indirectly associated, through the mediation effect of ethical sensitivity among anti-pandemic nurses. (shrink)

A survey study was conducted to look into the effect of Confucian ethics and the psychological foundations of morality on business managers' perspectives on corporate social responsibility (CSR). Using responses from 393 Chinese managers, we first conducted confirmatory factor analysis to assess the reliability and validity of the measurement model and then employed hierarchical regression to explore the relationships among Confucian ethics, moral foundations, and managers' shareholder value perspectives. The results indicate that both Confucian ethics and managers' moral foundations had (...) significant influence on shareholder value perspectives. In fact, moral foundations and Confucian ethics interacted and jointly affected managers' positions on the shareholder value model of corporate responsibility. This study demonstrates the importance of psychological foundations of morality to managers' CSR orientations and substantiates the persistent impact of Confucian ethics/cultural traditions on today' business practices. (shrink)

In the Groundwork, we find three distinct conceptions of freedom: (i) A negative conception of freedom, understood as a capacity for spontaneous action independent of alien causes; (ii) a positive conception of freedom, understood as the capacity of giving law to oneself; and (iii) a second positive conception, understood as the capacity to give laws that bind others as well as oneself. The dominant interpretation of Kant ignores this third conception of freedom and interprets the second conception as a capacity (...) for self-determination or self-governance, which is seen as the most basic and important Kantian conception of autonomy. In this paper, we will focus mainly on explaining the distinction between the second and third conceptions of autonomy and will defend the claim that the third conception is morally the most basic. We will also explain briefly why Kant thinks that having the capacity for citizenship is necessary for having the capacity for self-governance. (shrink)

Based on person-environment fit theory, this study examined the effects of empowering leadership on employee work engagement. We also investigated the mediating mechanism of person-job fit and person-group fit. In addition, we explored employee proactive personality's moderating role between empowering leadership and the above two kinds of fit, and then the set of indirect effects. Using a survey sample of 6179 employees from a technology company in China, we found that empowering leadership has a positively indirect influence on employees work (...) engagement though person-job fit and person-group fit. Further, moderated mediation analysis revealed proactive personality augmented empowering leadership direct effect on person-job fit and person-group fit and indirect effect on work engagement. Theoretical and practical implications were also discussed. (shrink)

The evolution of Euler diagrams is examined from Euler's original system through the modifications made by Venn and Peirce. It is shown that these modifications were motivated by an attempt to increase the expressivity of the diagrams, but that a side effect of these modifications was a loss of the visual clarity of Euler's original system. Euler's original system is reconstructed from a modern, logical point of view. Formal semantics and rules of inference are provided for this reconstruction of Euler's (...) system, and basic logical properties are proved. (shrink)

How and when do uncertain factors affect employees’ different types of proactive behavior? Building on the strength model of self-control, the present study examines the different effects of job insecurity on individual-oriented and organizational-oriented proactive behaviors, and the moderating role of future work self salience and socioeconomic status. Two-wave data collected from 227 employees in China were used to test our hypotheses. The results indicate that job insecurity is negatively associated with all the proactive behaviors. Moreover, the FWSS positively moderates (...) the above relationship, and the moderating role on individual-oriented proactive behavior is stronger than organizational-oriented proactive behavior. The SES negatively moderates the relationship between job insecurity and the two types of proactive behaviors. In addition, the FWSS and SES have a three-way interactive effect on the relationship between job insecurity and individual task proactive behavior. The practical implications of these results are discussed. (shrink)

The COVID-19 pandemic has had a profound psychological and behavioral impact on people around the world. Consumer purchase behaviors have thus changed greatly, and consumer services companies need to adjust their business models to adapt to this change. From the perspective of consumer psychology, this paper explores the impact of consumer purchase behavior changes over the course of the pandemic on the business model design of consumer services companies using a representative survey of 1,742 individuals. Our results show that changes (...) in consumer purchase behavior have a significant impact on the design of consumer services firms’ business models. Specifically, changes in consumers’ purchase object, motive, and timeframe are more likely to spark a novelty-centered business model design, whereas changes in purchase method tend to inspire an efficiency-centered one. Our findings provide a theoretical reference for consumer services companies in designing business models when faced with unexpected crises. (shrink)

Assumed benefits from improved reputation are often used as motives to drive corporate social responsibility (CSR) initiatives. Are improved cost efficiencies among these reputation benefits? Cost efficiencies and cost management have become more relevant as revenue streams dry up in these tough economic times. Can a good reputation aid these efforts to develop cost efficiencies specifically when managing labor costs? Prior research hypothesizes that good reputation can create labor productivity and efficiency benefits. The purpose of this study is to empirically (...) investigate reputation's relationship with labor efficiency, labor productivity, and labor cost. Using a sample of highly reputable firms from Fortune's America's Most Admired Companies list and a corresponding matched sample of firms, we find that reputation is associated with improved labor efficiency and labor productivity. However, we do not find a significant association between reputation and reduced labor costs. Our study contributes to current research hypothesizing and finding efficiency benefits associated with good reputation. Documenting these potential reputation benefits has important implications for CSR activities and initiatives. It supports recent work that incorporates reputation into a more developed model of the relationship between CSR and performance (Vilanova et al.: 2009, Journal of Business Ethics 87, 57-69). This work is useful to businesses and supports strategies focused on "doing well by doing good" and maintaining healthy reputations. (shrink)

To determine the role of physical self in body-involving consumption, we explore how body image influences purchasing intention toward hybrid products with body-involving features. In this study, we establish the dual nature of body image: specifically, body image influences intention to purchase via the perception of utilitarian value and symbolic value. Further, we find a competitive mediation in which positive body image (PBI) negatively influences purchase intention (direct effect), while PBI is positively related to purchase intention via utilitarian and symbolic (...) value (indirect effect). This indicates that without the mediation testing of the utilitarian-symbolic framework, the positive influence of body image will be “hidden.” Additionally, the mediated effect of symbolic value is moderated by personal innovativeness toward technology (PITT), suggesting that a consumer’s knowledge of wearables enhances the effect of body image. With the introduction of body image, this paper provides a more comprehensive model to analyze purchase intention with regard to digital products with body-involving features. (shrink)

False information is always produced after the outbreak of major emergencies. Taking this into consideration, this paper discusses the behavior of multiple parties in relation to false information dissemination after major emergencies. First, a game model is constructed, using relevant knowledge of evolutionary game theory, between three parties: regulatory institutions, opinion leaders, and ordinary Internet users. Second, the model equations are solved, and the evolutionary stability strategies of each game party under different circumstances are analyzed. Third, a numerical simulation is (...) applied to the evolutionary trends under different strategy combinations with varying parameters. The results show that the probability of each game party making ideal decisions is positively correlated with the degree of punishment imposed by regulatory institutions on opinion leaders who release false information, the reward provided by regulatory institutions on opinion leaders who release positive information, the degree of participation and satisfaction gained by Internet users in adopting positive information, the richness of authentic content released by opinion leaders, and the psychological identification of Internet users with opinion leaders. Meanwhile, the probability of each game party making ideal decisions is negatively correlated with investigation and evidence collection costs borne by opinion leaders who release positive information, the additional income for opinion leaders who have false information adopted by Internet users, the costs of Internet users’ time and energy when they adopt information released by opinion leaders, and the costs of independently judging the accuracy of information by Internet users. (shrink)

This paper examines the effect of corporate social responsibility on the number of bond covenants. We find that a high CSR score has a negative association with the number of bond covenants. Moreover, our results are more pronounced for firms with a high bid-ask spread and high agency costs. Our analysis highlights the effect of the good stakeholder relationship on the bond contracts.

As the development of artificial intelligence technology, the deep-learning -based Virtual Reality technology, and DL technology are applied in human-computer interaction, and their impacts on modern film and TV works production and audience psychology are analyzed. In film and TV production, audiences have a higher demand for the verisimilitude and immersion of the works, especially in film production. Based on this, a 2D image recognition system for human body motions and a 3D recognition system for human body motions based on (...) the convolutional neural network algorithm of DL are proposed, and an analysis framework is established. The proposed systems are simulated on practical and professional datasets, respectively. The results show that the algorithm's computing performance in 2D image recognition is 7–9 times higher than that of the Open Pose method. It runs at 44.3 ms in 3D motion recognition, significantly lower than the Open Pose method's 794.5 and 138.7 ms. Although the detection accuracy has dropped by 2.4%, it is more efficient and convenient without limitations of scenarios in practical applications. The AI-based VR and DL enriches and expands the role and application of computer graphics in film and TV production using HCI technology theoretically and practically. (shrink)

Moral injury is a significant issue for healthcare workers, often stemming from exposure to ethical dilemmas and distressing events. This study aims to explore the relationship between moral injury and healthcare workers’ career calling, using the job demands-resources model as a theoretical framework. The goal is to understand how moral injury affects healthcare workers’ sense of purpose and vocation and identify factors that may mitigate this impact. A cross-sectional survey was conducted with a sample of 506 Chinese healthcare workers. The (...) study used self-report questionnaires to assess moral injury, authentic self-expression, self-compassion, ethical leadership, and career calling. Path analysis was used to test the proposed mediating and moderating relationships within the job demands-resources model. Moral injury has a negative effect on healthcare workers’ career calling. This effect is mediated by authentic self-expression – the inability to openly discuss moral distress weakens the sense of purpose. Self-compassion and ethical leadership buffer against the negative impact of moral injury on career calling. This research contributes to the understanding of moral injury and career calling in healthcare workers, with practical implications for safeguarding healthcare professionals’ well-being and commitment to their vocation. (shrink)

This paper unravels an unprecedented interplay between board gender diversity (BGD) and corporate environmental, social, and governance (ESG) disputes among Chinese A-share-listed nonfinancial companies from 2017 to 2021. Framed within a knowledge-based and sensemaking perspective of institutional frameworks, the research not only illuminates the profound impact of internal (corporate governance ratings) and external (regional institutional development) institutional factors on this intricate relationship but also brings to light a paradigm-shifting revelation. The study employed a diverse set of empirical tests, ranging from (...) ordinary least squares regression to advanced methods such as the generalized method of moments, two-stage least squares, and propensity score matching, providing a nuanced and comprehensive analysis. The findings highlight the pivotal role of female directors in significantly mitigating ESG disputes. A mechanism analysis further uncovers that internal and external institutional quality are potent positive moderators in shaping the BGD–ESG dispute dynamic. This research has profound implications, providing valuable insights for stakeholders, policymakers, and scholars, offering a comprehensive understanding of how gender diversity fosters sustainability while unravelling the intricate tapestry of internal and external institutional dynamics that shape ESG outcomes. (shrink)

Employees in high-risk occupations are exposed to tremendous work acute stress or prolonged stress disorders that are likely to undermine the health and organizational effectiveness. Based on positive psychology, courage which refers to behavioral approach despite the experience of fear could buffer the negative effects on stress. However, there is little known about the mechanisms by which courage decreases the risk of stress. Motivational systems may play an underlying role in this process, as behavioral inhibition system is inhibited and behavioral (...) activation system is evoked by risk or threat. The current study aimed to examine the mediating effects of behavioral inhibition and activation on the relationship between courage and stress in the high-risk occupations. This study recruited 1,761 high-risk employees aged from 18 to 27 with a cluster sampling method who completed Courage Measure, the BIS/BAS Scales and the Psychological Stress Evaluation Test. The correlation and mediation analyses examined the inter-variable correlations as well as the underlying mechanism between courage and stress. The results support the hypothesis and reveal that the behavioral inhibition mediates the association between courage and stress. The behavioral activation of fun seeking mediates the association between courage and stress as well. These findings suggest that behavioral inhibition and activation of fun seeking play imperative mechanism underpinning the buffering effect of courage on stress. Other theoretical and applied implications for desensitizing stress in the high-risk occupations are discussed. (shrink)

In this article, we investigate the resource-based mechanism underlying the relationship between political skill and salespersons’ work outcomes. Specifically, we propose that political skill influences salespersons’ sales performance and job satisfaction through organizational resources and salesperson–customer guanxi, which serve as their internal and external resources. To examine our model, we collected data from 203 salespersons working at a large financial services institution in China. The findings reveal that both access to resources and build-up of s–c guanxi mediate the effect of (...) political skill on salespersons’ work outcomes. Moreover, access to resources and build-up of s–c guanxi interact to predict salespersons’ sales performance and job satisfaction. Implications and future research directions are discussed. (shrink)

This study investigated inverse preference effects in L2 structural priming of English relative clauses and their potential influences on subsequent learning of target structures. One hundred fourteen Chinese learners of English at a low-to-intermediate proficiency level participated in a structural priming experiment with a pretest-posttest design. The experimental group underwent a priming task in which they orally produced syntactic structures immediately after viewing English object or passive relative clauses as primes, whereas the control group only read sentences unrelated to English (...) relative clauses. A grammaticality judgment task and a sentence completion task were used to measure the inverse preference effect and its subsequent effects on L2 learning. The results showed the presence of structural priming and inverse preference effects in immediate production, which extended to subsequent learning of L2. In subsequent grammaticality judgments and production, L2 learners performed better with English object relative clauses than with English passive relative clauses in comparison with the pretest. The results are discussed in terms of the structural frequency in both L1 and L2 as well as the implicit learning mechanisms of structural priming. (shrink)

Transcranial magnetic stimulation, as a relatively new type of treatment, is a safe and non-invasive method for pain therapy. Here, we used CiteSpace software to visually analyze 440 studies concerning transcranial magnetic stimulation in pain research from 2010 to 2021, indexed by Web of Science, to clarify the research hotspots in different periods and characterize the process of discovery in this field. The United States ranked first in this field. Lefaucheur JP, Fregni F, and Andrade ACD made great contributions to (...) this field of study. The most prolific institution was University of São Paulo. The four main hot keywords were neuropathic pain, motor cortex, connectivity, and non-invasive brain stimulation. There were three main points that were generally accepted: definite analgesic effect of high-frequency rTMS of M1 contralateral to pain side in neuropathic pain; there are inconclusive recommendations regarding rTMS of the dorsolateral prefrontal cortex in fibromyalgia and neuropathic pain; there is low-quality evidence that single doses of high-frequency rTMS of the motor cortex may have short-term effects on chronic pain. This bibliometric analysis indicated that prospective, multi-center, large-sample, randomized controlled trials are still needed to further verify the effectiveness of various transcranial magnetic stimulation parameters in pain research. (shrink)

Previous studies provided evidence for a connection between language processing and language change. We add to these studies with an exploration of the influence of lexical-distributional properties of words in orthographic space, semantic space, and the mapping between orthographic and semantic space on the probability of lexical extinction. Through a binomial linear regression analysis, we investigated the probability of lexical extinction by the first decade of the twenty-first century (2000s) for words that existed in the first decade of the nineteenth-century (...) (1800s) in eight data sets for five languages: English, French, German, Italian, and Spanish. The binomial linear regression analysis revealed that words that are more similar in form to other words are less likely to disappear from a language. By contrast, words that are more similar in meaning to other words are more likely to become extinct. In addition, a more consistent mapping between form and meaning protects a word from lexical extinction. A nonlinear time-to-event analysis furthermore revealed that the position of a word in orthographic and semantic space continues to influence the probability of it disappearing from a language for at least 200 years. Effects of the lexical-distributional properties of words under investigation here have been reported in the language processing literature as well. The results reported here, therefore, fit well with a usage-based approach to language change, which holds that language change is at least to some extent connected to cognitive mechanisms in the human brain. (shrink)

With the development of sentiment analysis, studies have been gradually classified based on different researched candidates. Among them, aspect-based sentiment analysis plays an important role in subtle opinion mining for online reviews. It used to be treated as a group of pipeline tasks but has been proved to be analysed well in an end-to-end model recently. Due to less labelled resources, the need for cross-domain aspect-based sentiment analysis has started to get attention. However, challenges exist when seeking domain-invariant features and (...) keeping domain-dependent features to achieve domain adaptation within a fine-grained task. This paper utilizes the domain-dependent embeddings and designs the model CD-E2EABSA to achieve cross-domain aspect-based sentiment analysis in an end-to-end fashion. The proposed model utilizes the domain-dependent embeddings with a multitask learning strategy to capture both domain-invariant and domain-dependent knowledge. Various experiments are conducted and show the effectiveness of all components on two public datasets. Also, it is also proved that as a cross-domain model, CD-E2EABSA can perform better than most of the in-domain ABSA methods. (shrink)

The two mythical tales from the Samguk yusa, “Lady Suro” and “Monk Hyet’ong Defeats the Dragon” reveal the little-known evil character of the Korean dragons. The second story presents a particular scene of a confrontation between a hero and a malicious dragon; this story leads us to reflect on the question of the symbolism of evil embodied by the Dragon who has a vengeful character. The dragon symbol and its semantic variations were constructed specifically within the singular Korean context and (...) cannot be limited to Chinese Buddhist heritage. (shrink)

Recent years have witnessed rapidly increasing interests in developing quantum theoretical models of human cognition. Quantum mechanisms have been taken seriously to describe how the mind reasons and decides. Papers in this special issue report the newest results in the field. Here we discuss why the two levels of commitment, treating the human brain as a quantum computer and merely adopting abstract quantum probability principles to model human cognition, should be integrated. We speculate that quantum cognition models gain greater modeling (...) power due to a richer representation scheme. (shrink)

Loving-Kindness Meditation (LKM) is an efficient mental practice with a long history that has recently attracted interest in the fields of neuroscience, medicine and education. However, the neural characters and underlying mechanisms have not yet been fully illustrated, which has hindered its practical usefulness. This study aimed to investigate LKM from varied aspects and interactions between the brain, the heart, and psychological measurements. A Buddhist monk practitioner was recruited to complete one 10-min LKM practice, in between two 10-min resting tasks (...) (pre- and post-resting) per experimental run. Two sets of single-channel wearable EEG devices were used to collect EEG data (placed at Fz and Pz) and heart rate simultaneously. A self-report evaluation was conducted to repeatedly record the comprehensive performance of mind and body in each session. EEG data were preprossessed and analyzed by EEGlab. Further statistics were made by SPSS. Spectrum analysis showed a significant increase of theta power (Fz: t = −3.356; p = 0.002; Pz: t = −5.199; p < 0.001) and decrease of heart rate between pre- and post-resting tasks (t = 4.092, p < 0.001). The analysis showed a negative correlation between theta power and heart rate (Fz: r = −0.681, p < 0.001; Pz: r = −0.384, p = 0.008), and a positive correlation between theta power and the self-designed report score (Fz: r = 0.601, p < 0.001). These findings suggest that LKM is accompanied by significant neurophysiological changes, mainly an increase in slower frequencies, such as theta, and a decrease in heart rate. More importantly, subjective psychological assessments were also correlated with objective neurophysiological measurements in a long-term meditator participant. During LKM meditation, this connection was stronger. The results of this case report have promising implications for LKM practice in daily life. (shrink)

From the perspective of entrepreneurial team processes, this study examines the effect of dynamic team environment on entrepreneurial team innovation. Through applying the uncertainty reduction theory and group process theory, this study proposes the influence mechanism and boundary condition of the relationship between dynamic team environment on entrepreneurial team innovation. By analyzing a sample of 270 entrepreneurial teams in China, this study found that dynamic team environment could evoke entrepreneurial team innovation via triggering team members’ agreement seeking behavior and then (...) promoting team knowledge integration. In addition, team centralization of decision making can weaken the relationship between agreement seeking behavior and team knowledge integration. Our findings contribute to a better understanding of entrepreneurial teams’ reactions to dynamic environment and the multistep mechanism that transfers the impact of dynamic team environment to entrepreneurial team innovation through team members’ reactions and team interactions. (shrink)

The study compares the changes in the theory of Marxism that took place in Europe (in the form of neo-Marxism and its movements, in particular the Frankfurt School) and the Sinicized version of Marxism. The study also examines how Sinicized Marxism was reflected in the political discourse and political philosophy of modern China (People’s Republic of China) and is reflected in social policy in the country. Studying the influence of socio-economic changes and the history of the people on ideological changes (...) allows us to identify several principles of Sinicized Marxism, which on an ongoing basis determine social policy and foreign relations. This is, first, etatism and the dominance of state interests over private ones, which limits human rights and national self-determination, but preserves the integrity and stability of the state, which protects the interests of the people. (shrink)

IntroductionGlobally, 15% of adolescents give birth before turning 18, leading to considerable personal, social, and medical impacts on adolescents and to the general society.ObjectiveThis study aimed at exploring and comparing three psychological attributes between parents and teachers for the phenomena.Method672 teachers and 690 parents participated in the study.ResultsThe results indicated a significant mean difference between parents and teachers on empathy, attribution of blame, and feelings of responsibility. Except for attribution of blame, parents’ mean scores of other variables were higher than (...) that of teachers.DiscussionTeachers’ higher attribution of blame to pregnant adolescents and lower empathetic concern raises a prominent concern over students’ healthy environment at school.ConclusionUnderstanding social feelings about responsibilities over adolescents’ general health is very essential, especially for fighting against the problem of early pregnancy. (shrink)

This paper investigates whether local religious beliefs have a significant impact on the practice of earnings management. We extend the existing literature on the role of firm characteristics in mitigating earnings management by showing that local religious beliefs significantly impact the practice of earnings management. Specifically, exploring firms located in the U.S. counties that vary from 2000 through 2010, we document the negative relationship between religiosity and earnings management using multivariate regression analysis. Our results show that firms in counties with (...) strong religious social norms are less likely to engage in earnings management. Furthermore, we attempt to mitigate endogeneity concerns by employing a modified Difference-Differences model and Propensity score matching methods. We find that the negative effects of religion on earnings management still hold. Overall, these findings emphasize the empirical relevance of the association between the local social norms and earnings manipulations. (shrink)

This paper focuses on modeling and control of a class of serial variable stiffness actuators based on level mechanisms for robotic applications. A multi-input multi-output complex nonlinear dynamic model is derived to fully describe SVSAs and the relative degree of the model is determined accordingly. Due to nonlinearity, high coupling, and parametric uncertainty of SVSAs, a neural network-based adaptive control strategy based on feedback linearization is proposed to handle system uncertainties. The feasibility of the proposed approach for position and stiffness (...) tracking of SVSAs is verified by simulation results. (shrink)