Based on China’s mandatory requirement for listed firms to implement online voting in their annual general shareholder meetings, we investigate whether and how minority shareholders influence corporate environmental performance (CEP). We use the difference-in-difference approach and find that the implementation of online voting promotes minority shareholders’ participation in shareholder meetings, which, in turn, leads to improved CEP of listed firms. We discover that “local pollution” exposure and “the increasing awareness of listed firms’ environmental risks” are the main motives of minority (...) shareholders concerning listed firms’ environmental performance. Furthermore, we find that the minority shareholders improve CEP of listed firms through influencing groups with greater bargaining power. (shrink)

Link prediction, which aims to forecast potential or missing links in a complex network based on currently observed information, has drawn growing attention from researchers. To date, a host of similarity-based methods have been put forward. Usually, one method harbors the idea that one similarity measure is applicable to various networks, and thus has performance fluctuation on different networks. In this paper, we propose a novel method to solve this issue by regarding link prediction as a multiple-attribute decision-making problem. In (...) the proposed method, we consider RA, LP, and CAR indices as the multiattribute for node pairs. The technique for order performance by similarity to ideal solution is adopted to aggregate the multiattribute and rank node pairs. The proposed method is not limited to only one similarity measure, but takes separate measures into account, since different networks may have different topological structures. Experimental results on 10 real-world networks manifest that the proposed method is superior in comparison to state-of-the-art methods. (shrink)

Integrating power dependence and gender role theories, we investigate the interactive effects of followers’ gender and leaders’ Machiavellian orientation in predicting followers’ usage of upward influence tactics. Using a sample of 156 matched leader–follower dyads, we found that followers’ gender moderated the relationship between Time 1 leaders’ Machiavellian orientation and followers’ use of upward influence tactics at Time 2. Specifically, the relationship between Time 1 leaders’ Machiavellianism and Time 2 followers’ ingratiation was significant and positive for women followers and non-significant (...) for men followers, while the relationship between Time 1 leaders’ Machiavellianism and Time 2 followers’ assertiveness was significant and positive for men followers but non-significant for women followers. These results suggest that gender plays an important role in how followers react to Machiavellian leaders. The social and ethical implications of these findings are discussed. (shrink)

Recent studies reveal spontaneous implicit false-belief understanding in infancy. But is this early ability genuine theory-of-mind? Spontaneous tasks may allow early success by eliminating the selection-response bias thought to underlie later failure on standard tasks. However, using anticipatory eye gaze, we find the same bias in non-verbal tasks in both preschoolers and adults. We argue that the bias arises from theory-of-mind competence itself and takes the form of a rational prior to attribute one's own belief to others. Our discussion then (...) draws attention to a number of other inferential hallmarks of early belief-desire reasoning that together suggest it is the real deal. (shrink)

Purpose: The cognitive effects of total sleep deprivation on the brain remain poorly understood. Electroencephalography is a very useful tool for detecting spontaneous brain activity in the resting state. Quasi-stable electrical distributions, known as microstates, carry useful information about the dynamics of large-scale brain networks. In this study, microstate analysis was used to study changes in brain activity after 24 h of total sleep deprivation.Participants and Methods: Twenty-seven healthy volunteers were recruited and underwent EEG scans before and after 24 h (...) of TSD. Microstate analysis was applied, and six microstate classes were identified. Topographies and temporal parameters of the microstates were compared between the rested wakefulness and TSD conditions.Results: Microstate class A showed lower global explained variance, frequency of occurrence, and time coverage in TSD than RW, whereas microstate class D displayed higher GEV, frequency of occurrence, and time coverage in TSD compared to RW. Moreover, subjective sleepiness was significantly negatively correlated with the microstate parameters of class A and positively correlated with the microstate parameters of class D. Transition analysis revealed that class B exhibited a higher probability of transition than did classes D and F in TSD compared to RW.Conclusion: The observation suggests alterations of the dynamic brain-state properties of TSD in healthy young male subjects, which may serve as system-level neural underpinnings for cognitive declines in sleep-deprived subjects. (shrink)

Adopting a configurational perspective, this study explored the pathways for small and medium-sized enterprises to achieve high levels of radical innovation. On the basis of dynamic capabilities theory, six causal conditions for radical innovation were identified at both external and internal levels—that is, environmental turbulence and absorptive capacity. The results of a fuzzy-set qualitative comparative analysis of 82 Chinese SMEs identified four solutions for high radical innovation. The six causal conditions interacted interdependently and different combinations of these conditions were equally (...) effective pathways for SMEs to achieve radical innovation. Hence, SMEs could generate radical innovation through flexibly allocating resources and capabilities based on the environmental circumstances. By using the fsQCA method, this study contributes to the related literature with an investigation of the complex causal relationship between environmental turbulence, absorptive capacity, and SMEs’ radical innovation. The results resolve some prior contradictory findings and provide new insights for future research. Other theoretical contributions, practical implications, and directions for future research are also discussed. (shrink)

The brain-computer interface of steady-state visual evoked potential is one of the fundamental ways of human-computer communication. The main challenge is that there may be a nonlinear relationship between different SSVEP in other states. For improving the performance of SSVEP BCI, a novel CNN algorithm model is proposed in this study. Based on the discrete Fourier transform to calculate the signal's power spectral density, we perform zero-padding in the signal's time domain to improve its performance on the PSD and make (...) it more refined. In this way, the frequency point interval in the PSD of the SSVEP is consistent with the minimum gap between the stimulation frequency. Combining the nonlinear transformation capabilities of CNN in deep learning, a zero-padding frequency domain convolutional neural network model is proposed. Extensive experiments based on the SSVEP dataset validate the effectiveness of our method. The study verifies that the proposed ZPFDCNN method can improve the effectiveness of the SSVEP-based high-speed BCI ITR. It has massive potential in the application of BCI. (shrink)

This paper focuses on studying containment control problem with switching communication graphs of continuous-time heterogeneous multiagent systems where the control inputs are constrained in a nonconvex set. A nonlinear projection algorithm is proposed to address the problem. We discuss the stability and containment control of the system with switching topologies and nonconvex control input constraints under three different conditions. It is shown that all agents converge to the convex hull of the given leaders ultimately while staying in the nonconvex set (...) under the premise that at least one directed path from leaders to the agents exists in each bounded time interval. Finally, the validity of the results obtained in this paper is verified by simulation. (shrink)

The South-to-North Water Diversion Project consists of long-distance water delivery channels and a complicated geological environment along the way. To deal with the operation safety of the water conveyance channels in the middle route of the South-to-North Water Diversion Project, this study analyzes six failure modes: structural cracks, poor water delivery during ice periods, instability of canal slopes, material aging, abnormal leakage, and foundation defects. Based on FMEA, a multigranularity language evaluation method that can be converted into interval intuitionistic fuzzy (...) numbers is used to evaluate the severity, occurrence, and detection difficulty of the six failure modes. Interval intuitionistic fuzzy entropy is used to calculate the weights of the risk factors. Finally, a ranking model of each failure mode is built based on the TODIM method. The final ranking results show that the risk of abnormal leakage is the largest, and the risk of poor water delivery during ice periods is the smallest. The feasibility and validity of the calculation results are verified by comparing them with the ranking results of the traditional RPN and TOPSIS methods. The TODIM-FMEA risk assessment model offers a new solution to the problem of risk assessment for water transfer projects. (shrink)

A double delayed hybrid stochastic prey-predator bioeconomic system with Lévy jumps is established and analyzed, where commercial harvesting on prey and environmental stochasticity on population dynamics are considered. Two discrete time delays are utilized to represent the maturation delay of prey and gestation delay of predator, respectively. For a deterministic system, positivity of solutions and uniform persistence of system are discussed. Some sufficient conditions associated with double time delays are derived to discuss asymptotic stability of interior equilibrium. For a stochastic (...) system, existence and uniqueness of a global positive solution are studied. By using the invariant measure theory and singular boundary theory of diffusion process, existence of stochastic Hopf bifurcation and stochastic stability are investigated. By constructing appropriate Lyapunov functions, asymptotic dynamic behavior of the proposed hybrid stochastic system with double time delays and Lévy jumps is discussed. Numerical simulations are provided to show consistency with theoretical analysis. (shrink)

Ingratiation is a common strategy for subordinates to deal with their supervisors in eastern and western societies. Based on the theory of impression management, this study focuses on the impact of upward ingratiation outside the workplace on supervisor’s human resource decisions in the Chinese context and the mechanism behind this impact. The data were collected from 252 supervisor-subordinate dyads in four manufacturing firms. The results demonstrate the following: first, supervisors hold a more favorable view of upward ingratiation outside the workplace; (...) second, upward ingratiation outside the workplace has a positive effect on the supervisor’s chance of promotion and bonus allocation decisions, and leader-member exchange plays a mediation role in this influence; third, Zhongyong thinking moderates the relationship between LMX and supervisor’s chance of promotion and bonus allocation decisions; and finally, ZYT moderates the indirect effect of ingratiation behavior outside the workplace on supervisor’s chance of promotion and bonus allocation decisions through LMX, and the mediated relationship is weakened when a supervisor has a higher level of ZYT. This is one of the first empirical studies, which examines the validity of subordinate’s upward ingratiation outside the workplace from the perspective of supervisor’s ZYT. This study plays an important role in highlighting the effect of ZYT on the ingratiation behavior. (shrink)

I visited Professor Hintikka and discussed with him about ten times during my visit to Harvard University from 2000 to 2001. I can still vividly remember my first visit to him in his office and then Jaakko inviting me for lunch in the BU faculty club, including how I tried my best to ‘show’ my knowledge of Aristotle and Frege, with a hope that it was my first but not the last talk with him and how really excited I was (...) when he kindly said to me after lunch: “You are welcome to visit me again at the same time in two weeks”. In my view Hintikka was a brilliant philosopher and logician, and also a very kind and engaging person from and with whom one can constantly learn new ideas without limitations. (shrink)

I visited Professor Hintikka and discussed with him about ten times during my visit to Harvard University from 2000 to 2001. I can still vividly remember my first visit to him in his office and then Jaakko inviting me for lunch in the BU faculty club, including how I tried my best to ‘show’ my knowledge of Aristotle and Frege, with a hope that it was my first but not the last talk with him and how really excited I was (...) when he kindly said to me after lunch: “You are welcome to visit me again at the same time in two weeks”. In my view Hintikka was a brilliant philosopher and logician, and also a very kind and engaging person from and with whom one can constantly learn new ideas without limitations. (shrink)

Thirty-years research seemed to reveal that there is a U-shape development in children’s theory-of-mind abilities: infants have the competence to attribute false beliefs properly when measured by looking time and anticipatory eye gaze, while children younger than four systematically fail the standard false belief tasks measuring their voluntary responses. Why is it, and why does the infants’ implicit belief reasoning seem to be free from the inhibition and selection requirements? Are there really two systems, one explicit measured by verbal tasks (...) and one implicit shown in non-verbal context, involved in theory-of-mind reasoning? We investigated preschoolers’ and adults’ belief attribution with the anticipatory looking method, in both a low-demand and high-demand false-belief reasoning tasks. Subjects’ nonverbal performances turned out to be better in the low-demand condition: they showed strong bias to look at the locations congruent with the actor’s false belief. However, neither adults’ nor children’s eye gaze in the high-demand condition showed belief-congruent anticipations. Besides, adults’ predictions were better with verbal responses than with nonverbal anticipatory eye gaze. Together, these results suggested that there are dual systems involved in belief reasoning, and the two systems share similar property in terms of their sensitivity to the task demands. (shrink)

In user cluster analysis, users with the same or similar behavior characteristics are divided into the same group by iterative update clustering, and the core and larger user groups are detected. In this paper, we present the formulation and data mining of the correlation rules based on the clustering algorithm through the definition and procedure of the algorithm. In addition, based on the idea of the K-mode clustering algorithm, this paper proposes a clustering method combining related rules with multivalued discrete (...) features. In this paper, we construct a method to calculate the similarity between users using Jaccard distance and combine correlation rules with Jaccard distances to improve the similarity between users. Next, we propose a clustering method suitable for MDF. Finally, the basic K-mode algorithm is improved by the similarity measure method combining the correlation rule with the Jaccard distance and the cluster center update method which is the ARMDKM algorithm proposed in this paper. This method solves the problem that the MDF cannot be effectively processed in the traditional model and demonstrates its theoretical correctness. This experiment verifies the correctness of the new method by clustering purity, entropy, contour, and other indicators. (shrink)

As the answer to sustainability concerns, green economic growth has gradually attracted considerable attention. Notably, the optimization of the institutional environment contributes to green economic growth from the perspective of new institutional economics. However, few studies have systematically explained the connection between the institutional environment and green growth. In this study, the institutional environment was divided into three dimensions: governmental, legal, and cultural subenvironments. We adopted econometric models with the effect of every dimension on green growth and empirically analyzed with (...) the generalized method of moments, based on Chinese provincial panel data from the years 2000–2016. The results indicated that there was an inverted U-shaped relationship between China’s institutional environment and its green growth. That is, the institutional environment can initially promote China’s green growth but, if it is not changed, will eventually inhibit it. In addition, the analysis on the three dimensions of the institutional environment highlighted that the role of the cultural subenvironment in green growth is greater than those of the governmental and legal subenvironments. (shrink)

Objectives: Autism spectrum disorder (ASD) is a juvenile onset neurodevelopmental disorder with social impairment and stereotyped behavior as the main symptoms. Unaffected relatives may also exhibit similar ASD features due to genetic factors. Although previous studies have demonstrated atypical brain morphological features as well as task-state brain function abnormalities in unaffected parents with ASD children, it remains unclear the pattern of brain function in the resting state.Methods: A total of 42 unaffected parents of ASD children (pASD) and 39 age-, sex-, (...) and handedness-matched controls were enrolled. Multiple resting-state fMRI (rsfMRI) analyzing methods were applied, including amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), degree centrality (DC), and functional connectivity (FC), to reveal the functional abnormalities of unaffected parents in ASD-related brain regions. Spearman Rho correlation analysis between imaging metric values and the severity of ASD traits were evaluated as well.Results: ALFF, ReHo, and DC methods all revealed abnormal brain regions in the pASD group, such as the left medial orbitofrontal cortex (mOFC) and rectal gyrus (ROI-1), bilateral supplementary motor area (ROI-2), right caudate nucleus head and right amygdala/para-hippocampal gyrus (ROI-3). FC decreasing was observed between ROI-1 and right anterior cingulate cortex (ACC), ROI-2, and bilateral precuneus. FC enhancing was observed between ROI-3 and right anterior cerebellar lobe, left medial temporal gyrus, left superior temporal gyrus, left medial frontal gyrus, left precentral gyrus, right postcentral gyrus in pASD. In addition, ALFF values in ROI-1, DC values in ROI-3 were positively correlated with AQ scores in pASD (ρ1 = 0.298, P1 = 0.007; ρ2 = 0.220, P2 = 0.040), while FC values between ROI-1 and right ACC were negatively correlated with AQ scores (ρ3 = −0.334, P3 = 0.002).Conclusion: rsfMRI metrics could be used as biomarkers to reveal the underlying neurobiological feature of ASD for unaffected parents. (shrink)