教育部人文社会科学重点研究基地中山大学马克思主义哲学与中国现代化研究所基金资助。.

We study the mathematical properties of bilateral state-based modal logic (BSML), a modal logic employing state-based semantics (also known as team semantics), which has been used to account for free choice inferences and related linguistic phenomena. This logic extends classical modal logic with a nonemptiness atom which is true in a state if and only if the state is nonempty. We introduce two extensions of BSML and show that the extensions are expressively complete, and develop natural deduction axiomatizations for the (...) three logics. (shrink)

In the present study, we use a training design in two experiments to examine whether bilingual language switching facilitates two components of cognitive control, namely monitoring and inhibitory control. The results of Experiment 1 showed that training in language switching reduced mixing costs and the anti-saccade effect among bilinguals. In Experiment 2, the findings revealed a greater decrease of mixing costs and a smaller decrease of the anti-saccade effect from pre- to post-training for the language switching training group compared to (...) the L2 training group. Overall, the results suggest that extensive exercise in monitoring and inhibitory control among languages in an experimental setting may enhance the corresponding components of cognitive control. We discuss these findings in the context of the relationship between bilingual language control and executive control. (shrink)

This paper investigates the aperiodic sampled-data control for a chaotic system. Firstly, Takagi–Sugeno fuzzy models for the chaotic systems are established. The lower and upper bounds of the sampling period are taken into consideration. Then, the criteria for mean square exponential stability analysis and aperiodic sampled-data controller synthesis are provided by means of linear matrix inequalities. And the real sampling patterns can be fully captured by constructing suitable Lyapunov functions. Finally, an illustrative example shows that the proposed method is effective (...) to guarantee that the system’s states are stable with aperiodic sampled data. (shrink)

Social enterprises, as typical hybrid organisations, are embedded in a plural institutional environment in which some stakeholders regard achieving social goals as fundamental, while others see economic profit as the priority. A great challenge for social enterprises is dealing with the conflicts resulting from the diverse expectations of stakeholders. Based on the existing works on organisational legitimacy and the social business model, we propose a legitimacy-based social enterprise model composed of three main phases, namely, legitimacy proposition, legitimacy strategy planning, and (...) legitimacy strategy implementation. Our model is meant to serve as an effective legitimacy-building tool for social enterprises of various kinds. (shrink)

Constructive deviance describes acts that benefit the organization by deviating from outdated organizational norms. Despite emerging interest in this behavior, questions remain about why and how constructive deviance occurs. This paper integrates social learning and uncertainty reduction theories, and develops a multilevel model linking team-level ethical leadership to employee constructive deviance. Surveying 313 subordinates and 52 supervisors from 15 different companies in eastern China, we find that team-level ethical leadership has a positive impact on employee constructive deviance, and that both (...) psychological safety climate and employee moral self-efficacy partially mediate this relationship. In addition, we find a positive cross-level moderating effect of psychological safety climate. These findings contribute to understanding employees’ constructive deviance in the workplace, and provide valuable implications for managerial practices. (shrink)

A link prediction model for weighted networks based on Dempster–Shafer evidence theory and the influence of common neighbours is proposed in this paper. First, three types of future common neighbours and their topological structures are proposed. Second, the concepts of endpoint weight influence, link weight influence, and high-strength node influence are introduced. Then, the similarity based on the impacts of current common neighbours and FCNs is defined, respectively. Finally, the two similarity indices are fused by the DS evidence theory. This (...) model effectively integrates multisource information and completely exploits the influence of all CCNs and FCNs on similarity. Experiments are performed on 9 real and 40 simulation-weighted datasets, and these findings are compared with several classic algorithms. Results show that the proposed method has higher precision than other methods, which can achieve good performance in link prediction in weighted networks. (shrink)

As we journey into the fourth year of the COVID-19 pandemic, a majority of Americans express relief at a “return to normal,” experience pandemic fatigue, or embrace the idea of living with COVID-19 in much the same way we live with the seasonal flu. But transition to a new phase of life with SARS-CoV-2 does not diminish the importance of vaccination. The US Centers for Disease Control and the Food and Drug Administration recently recommended another round of booster dose for (...) persons age 5 and up, or an initial series for those not previously vaccinated, with an updated bivalent formula that protects against both the original virus strain and Omicron subvariants that are now the dominant source of infection. By most accounts most of the population has been or will become infected with SARS-CoV-2. Suboptimal uptake of the COVID-19 vaccines among the approximately 25 million adolescents in the United States is a significant obstacle to population coverage, public health, and the health and well-being of adolescents. A major cause of low adolescent uptake is parental vaccine hesitancy. This article discusses parental vaccine hesitancy and argues that permitting independent adolescent consent to COVID-19 vaccination should be an ethical and policy priority as we continue to confront the threat of Omicron and other variants of the coronavirus. We discuss the central role of the pediatric healthcare team in caring for adolescent patients who disagree with their parents about vaccination. (shrink)

Volume 1: A-F -- Volume 2: G-P-- Volume 3: Q-Z.

Before we investigate Mencius' art, should we not first define the term "art" [i-shu] and identify the essentials in Mencius' art?

The stock market is a chaotic, complex, and dynamic financial market. The prediction of future stock prices is a concern and controversial research issue for researchers. More and more analysis and prediction methods are proposed by researchers. We proposed a hybrid method for the prediction of future stock prices using LSTM and ensemble EMD in this paper. We use comprehensive EMD to decompose the complex original stock price time series into several subsequences which are smoother, more regular and stable than (...) the original time series. Then, we use the LSTM method to train and predict each subsequence. Finally, we obtained the prediction values of the original stock price time series by fused the prediction values of several subsequences. In the experiment, we selected five data to fully test the performance of the method. The comparison results with the other four prediction methods show that the predicted values show higher accuracy. The hybrid prediction method we proposed is effective and accurate in future stock price prediction. Hence, the hybrid prediction method has practical application and reference value. (shrink)

Introduction of human plasma protein genes into the mouse genome to produce transgenic mice furnishes an in vivo model for correlating chromosomal DNA sequences with developmental and tissue‐specific expression. The liver produces an array of plasma proteins that circulate throughout the body contributing to homeostasis. Non‐hepatic tissue sites of synthesis have been identified where a local provision of plasma proteins in needed. Analysis of expression of human plasma protein genes in ageing transgenic mice appears especialy promising in identifying DNA sequences (...) that respond to environmental adversities such as inflammatory factors, hormonal changes and metal toxicity. The results indicate that human genes encoding and controlling liver plasma proteins serve as useful models for studying genetic regulation in the background of development and ageing. (shrink)

The affect-as-information (AAI) model proposes that emotions influence the accessibility and value of information (Avramova & Inbar, Citation2013). Furthermore, according to the dual-process model of moral judgement, emotions and cognition influence moral judgement (Greene, Citation2007; Greene et al., Citation2001, Citation2008); however, there is no direct evidence of a causal chain to support this model’s proposition. By using a 3 (emotions: positive vs. neutral vs. negative) × 2 (primed rule: save lives vs. do not kill) between-participants design, we examined two hypotheses (...) in two experiments: supraliminal (Experiment 1) and subliminal (Experiment 2) priming. Our results partially supported the AAI model and confirmed that emotions and cognition independently influence moral judgement. Specifically, the positive emotions group made more utilitarian decisions after being primed with the “save lives” rule and more deontological decisions after being primed with the do not kill rule. However, priming did not affect moral judgement in the negative emotion condition. Further, irrespective of whether priming was done, the negative emotion group mostly made utilitarian decisions. Accordingly, we propose a dynamic dual-process model of moral judgement, that can help clarify how emotion and cognition influence moral judgement. (shrink)

Prior studies have found that emojis can contribute to rebuilding customers’ trust when after-sale staff apologize to them, but studies on the different types of emojis and their different levels of effectiveness in rebuilding trust are still needed. In this paper, we explore the different types and frequencies of emojis and their effectiveness in rebuilding trust based on commercial discourses. Our data are collected from conversations between after-sale staff and customers during Ali Trademanager after-sale service. We find three types of (...) emojis frequently used when after-sale staff apologizing to customers: face-related emojis, gesture-related emojis, and object-related emojis. Moreover, face-related emojis are the most frequently used, as their nature is to express emotion and attitude. The most effective emojis are the whimper emoji and kiss emoji, which are used by after-sale staff for sajiao (literally, ‘playing cute’). On the other hand, we show that the least effective emojis are the sorry emoji and happy emoji, which are deemed insincere because they violate the quality maxim and quantity maxim in the Cooperative Principle. This paper thus contributes to understanding the nature and function of emojis in commercial communication. (shrink)

This study explored the factorial and concurrent validity of a scale developed for assessing teachers’ self-efficacy beliefs in engaging with diversity in early childhood education settings. According to tests of measurement invariance, the conceptualization of the constructs varied to some extent between Finnish student teachers and qualified teachers. Qualified teachers reported, at the item level, higher confidence in engaging with diversity in mainstream early childhood classrooms than student teachers. Structural equation modeling demonstrated that for both groups, higher levels of reported (...) confidence in planning and implementing inclusive teaching–learning interactions were related to a higher level of closeness during interactions with children. The evidence for concurrent validity may imply beneficial and reciprocal influences between teachers’ confidence in their professional competence and close teacher–child relationships. The implications of the study are discussed from the perspective of teacher training and professional development in the early childhood education context. (shrink)