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In behavioral research, exploring bivariate relationships between variables X and Y based on the concept of probability-of-superiority (PS) has received increasing attention. Unlike the conventional, linear-based bivariate relationship (e.g., Pearson's correlation), PS defines that X and Y can be related based on their likelihood—e.g., a student who is above mean in SAT has 63% likelihood of achieving an above-mean college GPA. Despite its increasing attention, the concept of PS is restricted to a simple bivariate scenario ( X - Y pair), (...) which hinders the development and application of PS in popular multivariate modeling such as structural equation modeling (SEM). Therefore, this study addresses an empirical-based simulation study that explores the potential of detecting PS-based relationship in SEM, called PS-SEM. The simulation results showed that the proposed PS-SEM method can detect and identify PS-based when data follow PS-based relationships, thereby providing a useful method for researchers to explore PS-based SEM in their studies. Conclusions, implications, and future directions based on the findings are also discussed. (shrink)

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This paper investigates the event-based consensus problem for the heterogeneous hybrid multiagent system. First, the heterogeneous hybrid MAS is proposed which contains continuous and discrete-time subsystems with second-order and first-order heterogeneous dynamics. Second, the event-triggered protocols are proposed, which mainly include the event-based control laws and event-triggered conditions for different kinds of agents. Then, the consensus conclusions of fixed topology and switching topologies are obtained based on graph theory and nonnegative matrix theory, which include the constraints on control parameters, coupling (...) gains, and sampling interval to guarantee consensus. Finally, a simulation example is given to verify the efficiency of the proposed protocols. (shrink)

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COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions involved (...) in HPIs, the dynamic nature of HPI outcomes, roles that HPI components may occupy leading to such outcomes, and HPI checkpoints that are critical for specific disease outcomes. Based on these postulates, an HPI Postulate and Ontology (HPIPO) framework is proposed to apply interoperable ontologies to systematically model and represent various granular details and knowledge within the scope of the HPI postulates, in a way that will support AI-ready data standardization, sharing, integration, and analysis. As a demonstration, the HPI postulates and the HPIPO framework were applied to study COVID-19 with the Coronavirus Infectious Disease Ontology (CIDO), leading to a novel approach to rational design of drug/vaccine cocktails aimed at interrupting processes occurring at critical host-coronavirus interaction checkpoints. Furthermore, the host-coronavirus protein-protein interactions (PPIs) relevant to COVID-19 were predicted and evaluated based on prior knowledge of curated PPIs and domain-domain interactions, and how such studies can be further explored with the HPI postulates and the HPIPO framework is discussed. (shrink)

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Adults increase the certainty of their inductive inferences by observing more diverse instances. However, most young children fail to do so. The present study tested the hypothesis that children's sensitivity to instance diversity is determined by three variables: ability to discriminate among instances ( Discrimination ); an intuition that large numbers of instances increase the strength of conclusion ( Monotonicity ); ability to detect subcategories and evaluate numerical differences between the subcategories, or Extraction . A total of 219 Chinese children (...) aged 6 to 11 were tested for sensitivity to diversity by means of Discrimination, Monotonicity, and Extraction. The results indicated that children at all ages were able to discriminate instances and attend to set size. However, only 9- and 11-year-olds demonstrated Extraction and sensitivity to diversity. Furthermore, among all children diversity scores increased linearly with the level of Extraction. These results suggest that the law of large numbers plays a role in children's diversity-based reasoning. (shrink)

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Multisource information systems and multigranulation intuitionistic fuzzy rough sets are important extended types of Pawlak’s classical rough set model. Multigranulation intuitionistic fuzzy rough sets have been investigated in depth in recent years. However, few studies have considered this combination of multisource information systems and intuitionistic fuzzy rough sets. In this paper, we give the uncertainty measure for multisource intuitionistic fuzzy information system. Against the background of multisource intuitionistic fuzzy information system, each information source is regarded as a granularity level. Considering (...) the different importance of information sources, we assign different weights to them. Firstly, the paper proposes an optimal source selection method. Secondly, we study the weighted generalized, weighted optimistic, and weighted pessimistic multigranularity intuitionistic fuzzy rough set models and uncertainty measurement methods in the multisource intuitionistic fuzzy information system, and we further study the relationship between the three models and related properties. Finally, an example is given to verify the validity of the models and methods. (shrink)

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Deep learning is widely used in the fields of information technology and education innovation but there are few studies for young children in the preschool stage. Therefore, we aimed to explore factors that affect children’s learning ability through collecting relevant information from teachers in the kindergarten. Literature review, interview, and questionnaire survey methods were used to determine the influencing factors of deep learning. There were five dimensions for these factors: the level of difficulty of academic, communication skills, level of active (...) collaboration, level of in-depth processing, and reflection level evaluation. Reliability and validity tests were used to analyze the data from questionnaires. In total, 100 valid questionnaires were collected. The Cronbach coefficients for academic challenge, communication, active cooperation, deep processing, and reflective evaluation were 0.801, 0.689, 0.770, 0.758, and 0.665, respectively. Principal component analysis revealed that there were three main factors that affect children’s learning depth: the level of deep processing, the level of reflective evaluation, and the active level of collaboration. In conclusion, there were several factors affecting deep learning in children and further studies are warranted to promote the development of this field. (shrink)

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Changes in the external market environment put forward objective requirements for the formulation of organizational strategic plans, making it difficult for the organization’s leaders to make the right and effective decisions quickly on their own. As a result, participative leadership, which encourages and supports employees to participate in the decision-making process of organizations, has received increasing attention in both theory and practice. We searched the literature related to participative leadership in databases such as Web of Science, EBSCO, ProQuest, and China (...) National Knowledge Infrastructure. Based on this, we clarify the concept of participative leadership, propose a definition of participative leadership, summarize measurement scales for this type of leadership, and compare participative leadership with other leadership styles. We also present a research framework for participative leadership that demonstrates its antecedents; the mechanisms for its development based on social exchange theory, conservation of resources theory, social cognitive theory; social information processing theory, and implicit leadership theory; and outcomes. Finally, we identify five potential research areas: Connotation, antecedents, outcomes, mediators and moderators, and study of participative leadership in China. (shrink)

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Due to the current COVID-19 pandemic, colleges and universities have implemented network teaching. E-learning engagement is the most important concern of educators and parents because this will directly affect student academic performance. Hence, this study focuses on students’ perceived family support and their e-learning engagement and analyses the effects of e-learning normative consciousness and behaviours and self-efficacy on the relationship between family support and e-learning engagement in college students. Prior to this study, the relationship between these variables was unknown. Four (...) structural equation models revealed the multiple mediating roles of e-learning normative consciousness and behaviours and self-efficacy in the relationship between family support and e-learning engagement. A total of 1317 college students (mean age = 19.51; 52.2% freshman) voluntarily participated in our study. The results showed that e-learning normative consciousness and behaviours and self-efficacy played significant and mediating roles between students’ perceived family support and their e-learning engagement. Specifically, these two individual variables fully mediated the relationship between students’ perceived family support and their e-learning engagement. The multiple mediation model showed that family members can increase family support of their children by creating a household environment conducive to learning, displaying positive emotions, demonstrating the capability to assist their children, advocating the significance of learning normative consciousness and behaviours and encouraging dedicated and efficient learning. The findings complement and extend the understanding of factors influencing student e-learning engagement. (shrink)

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In this study, under some inequality conditions, necessary and sufficient conditions, using fixed-point theorem in cones, are established for the existence of C 1 -positive solutions for a class of second-order impulsive differential equations. Two examples are given in the last section to illustrate the abstract results.

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The complexity of calcium profiles observed in plant cells has led to the realization that specific patterns of calcium propagation (now termed calcium signatures) encode specific information and relay it to downstream elements (effectors) for translation into corresponding cellular responses in higher plants. The concept of calcium signatures is now well established and the tight control of the temporal and spatial characteristics of cytosolic calcium alterations is considered to be responsible for the specificity of various cellular responses, in particular to (...) environment‐induced stresses. To date, three major classes of plant calcium sensors responsible for drought‐stress signal transduction during soil water deficit have been identified. Valuable pieces of the calcium signal‐specificity puzzle are being put together and are illustrated here for the calcium‐mediated signal‐transduction cascades that operate in the responses of higher plants to soil environmental deficits. BioEssays 30:634–641, 2008. © 2008 Wiley Periodicals, Inc. (shrink)

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We link the corporate governance literature in financial economics to the agency cost perspective of corporate social responsibility to derive theoretical predictions about the relationship between corporate governance and the existence of executive compensation incentives for CSR. We test our predictions using novel executive compensation contract data, and find that firms with more shareholder-friendly corporate governance are more likely to provide compensation to executives linked to firm social performance outcomes. Also, providing executives with direct incentives for CSR is an effective (...) tool to increase firm social performance. The findings provide evidence identifying corporate governance as a determinant of managerial incentives for social performance, and suggest that CSR activities are more likely to be beneficial to shareholders, as opposed to an agency cost. (shrink)

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"The ineffable" in Wittgenstein's Tractatus Logico-Philosophicus is an essential term that has various interpretations. It could be divided into two types, namely, positive and negative, or real and fake. The negative or fake type can be clarified by logical analysis, while the positive or real type can be understood only through philosophical critique. Both the positive and negative types consist of infinity or absoluteness, but the infinity is subject to distinctions in meaning and logic. "������������������" ������������������������������������������ «������������������������������» ������������������������������������������������������������������������������ ������, ������������������������������������������, (...) ������������������������������������������������, ������������������������������������������������. ������������������������������������������ ������������������������������������������������������������������������, ������������������������������������������������������������������������������������������������������������������������������������ ������. ������������������������������������������������������������������������������������������������������������, ������������������������������������������������������������������������������������ ������������������������. (shrink)

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Creativity is an essential factor in ensuring the sustainable development of a society. Improving students’ creativity has gained much attention in education, especially in Science, Technology, Engineering, Arts, and Mathematics education. In a quasi-experimental design, this study examines the effectiveness of a project-based STEAM program on the development of creativity in Chinese elementary school science education. We selected two fourth-graders classes. One received a project-based STEAM program, and the other received a conventional science teaching over 6 weeks. Students’ creativity was (...) assessed before and after the intervention using a multi-method approach, including a test of divergent thinking, a story completion through the Consensus Assessment Technique, a creative self-efficacy measure, and a group-based creative project. Moreover, all students received a test of their science knowledge after the intervention. The results showed that compared with the control group, the creativity of the experimental group students improved significantly for 6 weeks at both individual and group level, even though their knowledge in science were comparable. This result confirmed the effectiveness of a project-based STEAM educational program improving elementary school students’ creativity. Implications are discussed. (shrink)

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Recently, the correspondence between the air track scenario and quantum database search algorithm was revealed. The conservation laws of linear momentum and nonlinear kinetic energy in the former case, which involve sequential elastic collisions, have their analogs in the latter case. Obviously, probability normalization combined with the Born rule serves as an analog for kinetic energy conservation. Here we explore the linear conservation laws in a generic quantum database search. Regarding the non-uniform distribution of the marked state, the uneven state (...) is initially prepared. In this way, the Grover diffusion operator results in a linear but nonphysical conservation law. On the other hand, in the CTC-assisted database search with the vast reduction of query complexity, the nonlinear instead of linear conservation laws are found. Finally, we conjecture that there are no conservation laws in the generalized Grover’s algorithm including the imaginary number i. (shrink)

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Galectin-3 and LTB4 are pro-inflammatory molecules recently shown to directly cause insulin resistance in mouse and human cells. They are highly expressed in the obese state, and can be targeted both genetically and pharmacologically to improve insulin sensitivity in vivo. This expands on previous research showing that targeting inflammatory cytokines can be insulin sensitizing in animal models. However, translating these potential therapies into the human setting remains challenging. Here we review this latest research, and discuss how balancing their pleiotropic functions, (...) the action of the microbiome, and the ability to identify relevant patient populations are vital considerations for successful anti-inflammatory insulin sensitizing therapy. Recent advances have indicated that a diverse range of inflammatory molecules, including leukotriene B4 and Galectin-3 can cause insulin resistance. Key challenges for translating these new targets into therapies include their pleiotropic effects and likely patient heterogeneity, such as is caused by the intestinal microbiome. (shrink)

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As a universal language, English is pivotal across various domains, yet it often encounters challenges like improper wording and grammatical inaccuracies. Addressing these, English discourse repair has emerged as a crucial educational endeavour, enhancing linguistic accuracy and students' linguistic awareness and literacy—qualities that significantly uplift their comprehensive intellectual development. This paper delves into the philosophical underpinnings of English discourse repair within educational frameworks, seeking to articulate its theoretical foundations, practical applications, and intrinsic educational value. Employing a blend of literature review, (...) case studies, and empirical research, this study first unpacks the theoretical landscape of discourse repair through extensive literature analysis, establishing a comprehensive understanding of current research and methodologies. Subsequent case analyses apply these theoretical insights to real-world educational scenarios, proposing innovative teaching strategies. Finally, experimental research tests these strategies to validate their effectiveness and reliability. Findings underscore that English discourse repair is not merely a linguistic tool but a profound educational technique that significantly enhances students' communicative competences and language awareness. Rooted in educational philosophy, this approach emphasizes the cultivation of critical thinking and learning agility. Moreover, the study reveals an essential need for ongoing refinement of teaching strategies to heighten their impact and adaptability. In synthesizing these insights, the paper asserts that English discourse repair serves as a powerful pedagogical method, bridging educational philosophy and practical application. Future research should further dissect its theoretical bases and refine practical approaches, aiming to optimize its utility and extend its benefits to students' broader educational experiences. Through this exploration, the paper contributes to a more profound understanding of the intersection between language education and philosophical inquiry, advocating for a curriculum that is as intellectually enriching as it is linguistically precise. (shrink)

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Speech recognition technology has played an indispensable role in realizing human-computer intelligent interaction. However, most of the current Chinese speech recognition systems are provided online or offline models with low accuracy and poor performance. To improve the performance of offline Chinese speech recognition, we propose a hybrid acoustic model of deep convolutional neural network, long short-term memory, and deep neural network. This model utilizes DCNN to reduce frequency variation and adds a batch normalization layer after its convolutional layer to ensure (...) the stability of data distribution, and then use LSTM to effectively solve the gradient vanishing problem. Finally, the fully connected structure of DNN is utilized to efficiently map the input features into a separable space, which is helpful for data classification. Therefore, leveraging the strengths of DCNN, LSTM, and DNN by combining them into a unified architecture can effectively improve speech recognition performance. Our model was tested on the open Chinese speech database THCHS-30 released by the Center for Speech and Language Technology of Tsinghua University, and it was concluded that the DLD model with 3 layers of LSTM and 3 layers of DNN had the best performance, reaching 13.49% of words error rate. (shrink)

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The Chinese have a 5000 years history and with it goes its Chinese philosophy. However, Chinese philosophy differs from western philosophy in more than one way. Western philosophy's famous “why” questions and free thinking were not part of Chinese philosophy. Acceptance was the rule and Confucius is known to be the source for this philosophy. The 20th century brought changes both in thinking generally as well as how sports were perceived. The main reasons for this were the opening to the (...) west and improving economic situations for the general population. This led to research in the field of sport philosophy on academic levels both in Taiwan and China. This article tries to put the achievements in this field in on the map. (shrink)

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Despite a strong investor and social demand for firms to disclose information on political connections, mandatory disclosure requirements face considerable opposition. Given the challenges in enforcing mandatory disclosures, we investigate whether private information acquisition can be a viable alternative to disclosure. Using a setting of corruption investigations, we find that investors, on average, are not aware that the firms they have invested in have connections with the officials under investigation, suggesting a lack of visibility of the connections. However, a small (...) number of institutional investors exploit their private access to information and sell their shares in response to the investigations. We also show that the high costs of information acquisition and a lack of incentives for analysts to disseminate sensitive information they have obtained contribute to this lack of visibility and result in a significant delay in retail investors’ reaction to material information. Our study contributes to the debate on mandating disclosure of political connections by showing that the lack of mandatory disclosure results in an uneven playing field that undermines transparency and fairness. (shrink)

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Environmental ethics can be cultivated in China and other Asian countries based on Chinese philosophical perspectives. Two major Chinese philosophies relevant to the issues of environmental ethics—Confucianism and Taoism—suggest certain approaches to developing environmental ethics. These approaches can complement each other in developing a Chinese or East Asian theory of environmental ethics. Drawing on these perspectives, China’s Wolong National Nature Reserve can face the challenge of protecting its pandas while developing the local economy. By adopting a set of strategies with (...) elements from both Confucianism and Taoism, Wolong has fared well in both protecting pandas and promoting environmental ethics. This case has implications for both managerial researchers and practitioners. (shrink)

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Conflicts between target and distraction can occur at the level of both stimulus and response processing. However, the neural oscillations underlying occurrence of the interference in different levels have not been understood well. Here, we reveal such a neural oscillation modulation by combining a 4:2 mapping design (two targets are mapped into one response key) with a practice paradigm (pretest, practice, and posttest) when healthy human participants were performing a novel color-word flanker task. Response time (RT) results revealed constant stimulus (...) conflict (SC, stimulus incongruent minus congruent, SI-CO) but increased response conflict (RC, response incongruent minus stimulus incongruent, RI-SI) with practice. Event-related potential (ERP) results demonstrated stable P3 amplitude differences for the SI-CO in the centro-parietal region across practice, which may reflect maintenance of the stimulus processing; and significantly larger P3 amplitudes in the same region for the RI relative to SI trial type in posttest, which may reflect inhibition of the distraction response. Further, neural oscillatory results showed that with practice, the lower alpha band in the frontal region and the upper alpha band in the occipital-parietal region distinguished between stimulus- and response-conflicts, respectively, suggesting that practice reduces the alertness (sensitiveness) of the brain to conflict occurrence, and enhances stimulus-response associations. (shrink)

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Emotional creativity refers to a set of cognitive abilities and personality traits related to the originality of emotional experience and expression. Previous studies have found that emotional creativity can positively predict posttraumatic growth and mental health. The outbreak of coronavirus disease 2019 (COVID-19) has posed great challenges to people’s daily lives and their mental health status. Therefore, this study aims to address the following two questions: whether emotional creativity can improve posttraumatic growth and mental health during the COVID-19 pandemic and (...) how it works. To do this, a multiple mediation model has been proposed, which supposes that emotional creativity is associated with posttraumatic growth and mental health through perceived social support and regulatory emotional self-efficacy. The study involved 423 participants from multiple regions with different COVID-19 involvement levels. Participants were asked to complete a questionnaire with six parts, which included Emotional Creativity Inventory (ECI), Regulatory Emotional Self-Efficacy Scale (RES), Stress-Related Growth Scale-Short Form (SRGS-SF), Multidimensional Scale of Perceived Social Support scale (MSPSS), Brief Symptom Inventory-18 scale (BSI-18), and COVID-19-related life events questionnaire. Path analysis used to examine the mediation model indicated that under the control of COVID-19-related life events and age, perceived social support mediated a positive association between emotional creativity and posttraumatic growth as well as a negative association between emotional creativity and all mental health problems, including somatization, depression, and anxiety. Regulatory emotional self-efficacy mediates the association between emotional creativity and posttraumatic growth, emotional creativity and anxiety, and emotional creativity and depression. The results suggest that emotional creativity plays an important role in coping with stressful events related to COVID-19. Furthermore, these results might provide a better understanding of the possible paths through which emotional creativity is related to psychological outcomes, such as mental health and posttraumatic growth. (shrink)

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This study provides an attributional perspective to the ethical leadership literature by examining the role of attributed altruistic motives and perceptions of organizational politics in a moderated mediation model. Path analytic tests from two field studies were used for analyses. The results support our hypotheses that attributed altruistic motives would mediate the relationship between perceived ethical leadership and affective organizational commitment. Moreover, the relationship between perceived ethical leadership and attributed altruistic motives was stronger when perceptions of organizational politics were high (...) but weaker when these perceptions were low. The study concludes with a discussion of future research implications as well as managerial implications. (shrink)

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This research on the ethics of meaningful work examined how types of job-related harm and their magnitude of consequences influenced components of ethical decision-making. The research also investigated the moderating effects of individual differences on the relation between the MOC and the ethical decision-making elements for each type of harm. Using a sample of 185 Chinese professionals, a between-subjects, fully crossed experimental scenario design revealed that physical and economic job-related harm were recognized as moral issues to a greater extent than (...) cognitive or emotional harm. Second, physical job-related harm stimulated a higher level of moral evaluations than economic and cognitive harm. Third, individuals intended to act ethically when MOC was high versus low. Finally, experience with layoffs and IMO helped explain the relations between MOC and moral evaluations for economic and cognitive job-related harm, respectively. Implications for research and management are discussed. (shrink)

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山西大学科学技术哲学研究中心资助国家教育部“十五”社科规划青年项目“当代西方分析哲学与解释学的融合”的研究成果.

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This study aims to disclose how the magnetic resonance imaging neuroimaging approach has been applied in education studies, and what kind of learning themes has been investigated in the reviewed MRI neuroimaging research. Based on the keywords “brain or neuroimaging or neuroscience” and “MRI or diffusion tensor imaging or white matter or gray matter or resting-state,” a total of 25 papers were selected from the subject areas “Educational Psychology” and “Education and Educational Research” from the Web of Science and Scopus (...) from 2000 to 2019. Content analysis showed that MRI neuroimaging and learning were studied under the following three major topics and nine subtopics: cognitive function, science education, and brain development. As for the type of MRI neuroimaging research, the most frequently used approaches were functional MRI, followed by structural MRI and DTI, although the choice of approach was often motivated by the specific research question. Research development trends show that the neural plasticity theme has become more prominent recently. This study concludes that in educational research, the MRI neuroimaging approach provides objective and empirical evidence to connect learning processes, outcomes, and brain mechanisms. (shrink)

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