Despite the rising interest in environmental strategies, few studies have examined how managerial cognition of such strategies influences actual innovation capability development. Taking a managerial cognition perspective, this study investigates how managers’ perceptions of institutional pressures relate to their focus on proactive environmental strategy, which in turn affects firms’ realized innovation capability. The findings from a primary survey and three secondary datasets of publicly listed companies in China reveal that managers’ perceived business and social pressures are positively associated with their (...) focus on proactive environmental strategy, which consequently fosters innovation capability development. Moreover, state ownership and government administrative control weaken the impact of managerial focus on proactive environmental strategy on innovation capability. These findings have important implications for how managerial cognition supports environmental strategy and organizational capability building under the influence of institutional pressures and government intervention. (shrink)

Despite the growing importance of stakeholder management, few studies have empirically examined the influence of stakeholder relationship capability on firm innovation, especially in emerging economies. This study investigates how SRC relates to firm innovation in the presence of governmental intervention and in combination with firm-level characteristics. Using a survey and multiple secondary datasets on the listed Chinese firms, our findings indicate that SRC is positively associated with firm innovation. Moreover, advanced legal development and high-tech status strengthen the positive link between (...) SRC and innovation, whereas state ownership and firm age weaken this relationship. These findings provide novel insights into how firms use stakeholder management to enhance innovation that is beneficial for economic growth. (shrink)

We introduce a type of weighted modal logic with explicit weights both in the language and in the models. The framework has its applications in epistemic logic for reasoning about agents’ knowledge based on their capability, and in deontic logic for agents’ choices based on their deontic capability or utilities. We make use of weighted Kripke models with the weights understood epistemically as a similarity measure between states and deontically as a measure of expected utilities. We present sound and complete (...) axiomatizations for the logics, and discuss variants and possible extensions. (shrink)

This book review symposium aims to open a space for discussions and questions responded to the book Education between Speech and Writing: Crossing the Boundaries of Dao and Deconstruction, which is...

When we say “I know why he was late”, we know not only the fact that he was late, but also an explanation of this fact. We propose a logical framework of “knowing why” inspired by the existing formal studies on why-questions, scientific explanation, and justification logic. We introduce the Kyi\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\mathcal {K}}{}\textit{y}}_i$$\end{document} operator into the language of epistemic logic to express “agent i knows why φ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} (...) \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi$$\end{document}” and propose a Kripke-style semantics of such expressions in terms of knowing an explanation of φ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi$$\end{document}. We obtain two sound and complete axiomatizations w.r.t. two different model classes depending on different assumptions about introspection. Finally we connect our logic with justification logic technically by providing an alternative semantics and an in-depth comparison on various design choices. (shrink)

This study employs a knowledge graph approach to realize the representation and association of information resources, promote the research, teaching, and dissemination of Dunhuang cultural heritage (CH). The Dunhuang Mogao Grottoes is a UNESCO world CH site, and digitization of Dunhuang CH has produced a large amount of information resources. However, these digitized resources continue to lack the systematic granular semantic representation required to correlate Dunhuang cultural heritage information (CHI) in order to facilitate efficient research and appreciation. To respond to (...) this need, new approaches for representing CHI are being developed. This study identifies five facets and their semantic relationship to Dunhuang CH, constructs an ontology model to regulate the entities, attributes, and relationships of Dunhuang CH knowledge, and subsequently processes the resulting data using various techniques (such as semantic annotation and entity association) to facilitate rendering the data in a knowledge graph construction. Finally, we constructed a DH-oriented knowledge graph service platform in order to provide a user friendly visual display and semantic retrieval service. (shrink)

The KNN algorithm is one of the most famous algorithms in machine learning and data mining. It does not preprocess the data before classification, which leads to longer time and more errors. To solve the problems, this paper first proposes a PK-means++ algorithm, which can better ensure the stability of a random experiment. Then, based on it and spherical region division, an improved KNNPK+ is proposed. The algorithm can select the center of the spherical region appropriately and then construct an (...) initial classifier for the training set to improve the accuracy and time of classification. (shrink)

Link trustworthiness evaluation is a crucial task for information networks to evaluate the probability of a link being true in a heterogeneous information network. This task can significantly influence the effectiveness of downstream analysis. However, the performance of existing evaluation methods is limited, as they can only utilize incomplete or one-sided information from a single HIN. To address this problem, we propose a novel multi-HIN link trustworthiness evaluation model that leverages information across multiple related HINs to accomplish link trustworthiness evaluation (...) tasks inherently and efficiently. We present an effective method to evaluate and select informative pairs across HINs and an integrated training procedure to balance inner-HIN and inter-HIN trustworthiness. Experiments on a real-world dataset demonstrate that our proposed model outperforms baseline methods and achieves the best accuracy and F1-score in downstream tasks of HINs. (shrink)

Student employability is a key aspect of any university degree. The relationship between high student learning outcomes and high employability is a problem that needs to be addressed and improved by colleges and universities. Students with high employability can find good jobs after graduation and perform well in the workplace. Employability is associated with the success of university education, thus giving the university a good reputation. This study explores the development of employability, alongside teaching and student learning abilities to examine (...) how these variables affect student employability. The study collected 442 responses to a questionnaire to investigate the relationship between pedagogy for employability, problem-based learning, absorptive capacity, and student employability based on a structural model. The SEM results show that pedagogy for employability and problem-based learning positively correlate to absorptive capacity; pedagogy for employability and absorptive capacity positively correlate to student employability. We then analyzed a case study teaching intervention strategy with 221 students from the school of management and discuss the differential results of all variables. Results showed that the test group was superior to the control group in each variable performance, indicating that the intervention strategy proved effective. Based on these findings, this study proposes suggestions for future research. (shrink)

Shanghai has always led college entrance examination reform in China, and has piloted the new round of college entrance examination reform for 5 years. At present, the comprehensive quality evaluat...

As many philosophers agree, the frame problem is concerned with how an agent may efficiently filter out irrelevant information in the process of problem-solving. Hence, how to solve this problem hinges on how to properly handle semantic relevance in cognitive modeling, which is an area of cognitive science that deals with simulating human's cognitive processes in a computerized model. By "semantic relevance", we mean certain inferential relations among acquired beliefs which may facilitate information retrieval and practical reasoning under certain epistemic (...) constraints, e. g., the insufficiency of knowledge, the limitation of time budget, etc. However, traditional approaches to relevance—as for example, relevance logic, the Bayesian approach, as well as Description Logic—have failed to do justice to the foregoing constraints, and in this sense, they are not proper tools for solving the frame problem/relevance problem. As we will argue in this paper, Non-Axiomatic Reasoning System (NARS) can handle the frame problem in a more proper manner, because the resulting solution seriously takes epistemic constraints on cognition as a fundamental theoretical principle. (shrink)

The current discussions of conceptual schemes and related topics are misguided; for they have been focused too much on the truth-conditional notions of meaning/concepts and translation/interpretation in Tarski's style. It is exactly due to such a Quinean interpretation of the notion of conceptual schemes that the very notion of conceptual schemes falls prey to Davidson's attack. We argue that what should concern us in the discussions of conceptual schemes and related issues, following the initiatives of I. Hacking, T. Kuhn, and (...) N. Rescher, is not the truth-values of assertions, but rather the truthvalue-status of the sentences used to make the assertions. This is because the genuine conceptual innovation between alternative theories/languages does not lie in differences in determining the truth-values of their sentences, but turns on whether these sentences have truth-values when considered within the context of a competing one. The core of conceptual relativism does not consist in the claim that different conceptual schemes may yield incommensurable truth claims, but rather that different conceptual schemes may yield incompatible truth-value-status and therefore lead to distinct perceptions of reality. Conceptual schemes are no longer seen as sentential languages consisting of a set of sentences accepted as true, but rather seen as metaphysical presuppositions of presuppositional languages.[ABSTRACT FROM AUTHOR]. (shrink)

With the rapid development of renewable generators such as distributed photovoltaic and profound changes of the power structure, this paper analyzes the frequency characteristics of the power system with high penetration of renewable generations in the process of low-frequency load shedding and discusses the influence of the distributed renewable generator frequency endurance capabilities on the implementation effect of low-frequency load shedding in detail. Finally, the influences of the distributed renewable generator frequency endurance capability and the capacities of the distributed renewable (...) generator on frequency response characteristics of an actual Hunan power grid are simulated. The simulation results show that more distributed photovoltaic capacity without frequency endurance capability leads to deeper frequency drops after the disturbance and requires more basic rounds of load shedding. When the penetration rate of distributed photovoltaic is too high, it may cause load shedding, resulting in power grid load losses and, at the same time, leading to an overshoot phenomenon in the process of frequency recovery. Therefore, the influence of distributed photovoltaic on the control of low-frequency load shedding should be considered when designing low-frequency load shedding schemes for the power grid with high penetration of distributed photovoltaic. (shrink)

ObjectiveThe psychological condition of healthcare workers since the COVID-19 pandemic has attracted the attention of many studies. However, few have reported on psychosocial problems of primary healthcare workers in the COVID-19 pandemic. This study aimed to examine the mediating roles of social support and resilience in COVID-19-related work stress and symptoms of anxiety and depression.MethodsA total of 840 primary healthcare workers in 17 community health centers in Guangzhou, China, were recruited from May to July 2021. Data on demographic characteristics, COVID-19-related (...) work stress, social support, resilience, anxiety and depression were collected. A structural equation model was used for mediation analysis.ResultsMore than half of participants reported mild or more severe symptoms of anxiety and depression. Social support and resilience mediate the association between COVID-19-related work stress and symptoms of anxiety and depression, respectively. Furthermore, the association between work stress and symptoms of anxiety and depression was also mediated by an accumulation of social support and resilience. The indirect effect of COVID-19-related work stress on anxiety and depression through resilience was much greater than other indirect effects.ConclusionAnxiety and depression were prevalent among primary healthcare workers. This study highlights the psychological impact of the COVID-19-related psychosocial work environment on primary healthcare workers. There is an urgent need to improve working conditions for primary healthcare workers in the COVID-19 and to implement intervention strategies aimed at increasing individual resilience alongside the establishment of external supportive work environments. (shrink)

This study aims to explore what motivates Chinese mid-career educational practitioners to pursue Ed. D. A university in South China was selected as a case university, and 18 Ed.D. candidates were recruited to participate in semi-structured interviews. Grounded theory analysis was conducted on the transcripts of the interviewees' information. The findings uncovered four motivational patterns of Ed.D. candidates in China that mutually influence and reinforce one another. A theoretical model was thus constructed in which extrinsic factors moderate intrinsic factors, prepositional (...) factors stimulate post-positional factors, with pre-intrinsic factors act as incentives, pre-extrinsic factors act as preconditions, and post-intrinsic factors and post-extrinsic factors act as internal and external reinforcers, respectively. This study broadens critical understanding of Ed.D. students' motivation and offers several implications that should be of interest to Chinese Ed.D. candidates, educational researchers, universities, and government officials. (shrink)

In association with the development of intermittent renewable energy generation, dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty. To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage is formulated and solved based on a robust multiobjective optimization method. In the proposed model, dynamic multistage ES and generator dispatch patterns are optimized to reduce the cost and emissions. Specifically, strong constraints of the charging/discharging behaviors of the ES in the space-time domain (...) are considered to prolong its lifetime. Additionally, an adaptive robust model based on minimax multiobjective optimization is formulated to find optimal dispatch solutions adapted to uncertain REG changes. Moreover, an effective optimization algorithm, namely, the hybrid multiobjective Particle Swarm Optimization and Teaching Learning Based Optimization, is employed to seek an optimal Pareto front of the proposed dispatch model. This approach has been tested on power system integrated with wind power and ES. Numerical results reveal that the robust multiobjective dispatch model successfully meets the demands of obtaining solutions when wind power uncertainty is considered. Meanwhile, the comparison results demonstrate the competitive performance of the PSO-TLBO method in solving the proposed dispatch problems. (shrink)

Recently, several studies have demonstrated that tetracyclines, the antibiotics most intensively used in livestock and that are also widely applied in biomedical research, interrupt mitochondrial proteostasis and physiology in animals ranging from round worms, fruit flies, and mice to human cell lines. Importantly, plant chloroplasts, like their mitochondria, are also under certain conditions vulnerable to these and other antibiotics that are leached into our environment. Together these endosymbiotic organelles are not only essential for cellular and organismal homeostasis stricto sensu, but (...) also have an important role to play in the sustainability of our ecosystem as they maintain the delicate balance between autotrophs and heterotrophs, which fix and utilize energy, respectively. Therefore, stricter policies on antibiotic usage are absolutely required as their use in research confounds experimental outcomes, and their uncontrolled applications in medicine and agriculture pose a significant threat to a balanced ecosystem and the well‐being of these endosymbionts that are essential to sustain health.Also watch theVideo Abstract. (shrink)

The question of what determines brain laterality for auditory cognitive processing is unresolved. Here, we demonstrate a swap of hemisphere dominance from right to left during semantic interpretation of Chinese lexical tones in native speakers using simultaneously recorded mismatch negativity response and behavioral reaction time during dichotic listening judgment. The mismatch negativity, which is a brain wave response and indexes auditory processing at an early stage, indicated right hemisphere dominance. In contrast, the behavioral reaction time, which reflects auditory processing at (...) a later stage, indicated a right ear listening advantage, or left hemisphere dominance. The observed swap of hemisphere dominance would not occur when the lexical tone was substituted with a meaningless pure tone. This swap reveals dependence of hemisphere labor division initially on acoustic and then on functional cues of auditory inputs in the processing from sound to meaning. (shrink)

Hybrid energy storage system has been widely studied as an important technology for electric vehicles. Since the hybrid energy storage system is a nonlinear and complex system, the modeling of the system and the high-precision nonlinear control strategy are technical difficulties for research. The establishment of a high-precision mathematical model of the hybrid energy storage system is the basis for the study of high-quality nonlinear control algorithms. Fortunately, the theory of fractional calculus can help build accurate mathematical models of hybrid (...) energy storage systems. In order to obtain the high-quality nonlinear control strategy of this complex system, this paper, respectively, carried out fractional-order modeling and analysis on the three basic equivalent working states of the hybrid energy storage system of electric vehicles. Among them, the fractional-order average state space model is carried out for the equivalent Buck and Boost mode. Also, the steady-state analysis of the equivalent Dual-Boost mode is carried out by combining the fractional-order calculus theory with the equivalent small parameter variable method. Finally, the effectiveness and precision of the fractional-order model are proved by simulation and experiment. (shrink)

This paper examines the relationship between loan guarantees and audit fees as well as the moderating effect of corporate social responsibility. We find that guaranteeing another entity’s debt significantly increases firms’ own audit fees. However, the disclosure of CSR information attenuates the fee-increasing effects of loan guarantees. A closer examination reveals that the role of CSR is attributable to the information effect rather than the signal effect. Our results are robust to the use of a quasi-natural experiment, a propensity score (...) matching analysis, a Heckman two-stage treatment effect model and alternative proxies. This work makes new contributions to the current understanding of the consequences of loan guarantees, determinants of audit fees and value of CSR disclosure. (shrink)

ABSTRACTNumerous studies have found that shame increases individuals’ anger at others. However, according to recent theories about the social function of shame and anger at others, it is possible that shame controls individuals’ anger at others in specific conditions. We replicated previous findings that shame increased individuals’ anger at others’ unfairness, when others were not aware of the individual’s experience of shameful events. We also found for the first time that shame controlled or even decreased individuals’ anger at others’ unfairness, (...) when others were aware of the individual’s experience of shameful events. The results were consistent when shame was induced by either a recall paradigm or an imagination paradigm, and in either the ultimatum game or the dictator game. This suggests that shame strategically controls individuals’ anger at others to demonstrate that they are willing to benefit others, when facing the risk of social exclusion. Our findings highlight the interpersonal function of... (shrink)

Domination is a structural complexity of chemical molecular graphs. A dominating set in a graphG=V,Eis a subsetS⊆Vsuch that each vertex inV\Sis adjacent to at least one vertex inS. The domination numberγGof a graphGis the minimum size of a dominating set inG. In this paper, computer-aided approaches for obtaining bounds for domination number on torus graphs are here considered, and many new exact values and bounds are obtained.

Online learning resources play an important role in teaching and learning in the process of online learning. Teachers will be satisfied with selectable and suitable online learning resources, which can promote their self-efficacy to facilitate online teaching and learning. This study proposed a model to examine the effects of the selectivity of online learning resources and the suitability of online learning resources on teachers’ online teaching satisfaction, and the mediating role of technology self-efficacy and online teaching self-efficacy between them. The (...) results indicated that SE-OLR and SU-OLR positively affected teachers’ online teaching satisfaction; TECHN-SE and OT-SE positively influenced teachers’ online teaching satisfaction, while TECHN-SE and OT-SE played mediating roles between SE-OLR and SU-OLR and teachers’ online teaching satisfaction. The findings have implications for the design and development of online learning resources to improve teachers’ satisfaction and facilitate students’ learning effectiveness and teachers’ online teaching. (shrink)

ObjectiveThis study aims to investigate the effectiveness of mindfulness-based cognitive therapy combined with medication therapy in preventing the recurrence of major depressive disorder in convalescent patients.MethodsA total of 130 patients with convalescent MDD were enrolled in this prospective study. Sixty-five patients were assigned to the experimental group and received medication therapy combined with MBCT, and 65 patients were assigned to the control group and treated with medication alone. The recurrence rate and related hormonal changes were compared between the two groups.ResultsAfter (...) 1 year of MBCT intervention, eight patients experienced recurrence in the experimental group, a recurrence rate of 12.31%, and 19 patients experienced recurrence in the control group, a recurrence rate of 29.23%. The Hamilton Depression Rating Scale and the World Health Organization Quality of Life Scale scores in both the experimental and the control groups were significantly improved after treatment. The difference in the HAM-D scores before and after treatment in the experimental group was 16.74 ± 4.54; this was significantly higher than that of the control group. The WHOQOL-BREF scores in the experimental group were significantly improved compared with those of the control group. The differences in the levels of corticotrophin-releasing hormone, adrenocorticotropic hormone, and cortisol before and after treatment in the experimental group and the control group were statistically significant. The difference in CRH before and after treatment in the experimental group was 16.8 ± 7.2, which was higher than that of the control group. The intervention with MBCT had a significant impact on the recurrence of MDD [β = 1.206, P = 0.039, 95% CI = 0.0790–1.229]. The difference in the HAM-D scores also had a significant impact on the recurrence of MDD.ConclusionCompared with medication therapy alone, the use of MBCT combined with medication therapy can effectively prevent the recurrence of MDD in convalescent patients. (shrink)

ObjectiveThis study aimed to better understand the current situation involving work stressors and the coping styles of outpatient and emergency nurses in 29 pediatric specialty hospitals across China. The study analyzed this correlation to provide a reference for the occupational stress management of pediatric nurses.MethodsFrom June to September 2020, 1,457 outpatient and emergency nurses in 29 pediatric specialty hospitals across China were selected as study participants, and a questionnaire survey was conducted using the Basic Information Questionnaire, the Chinese version of (...) the Work Stressor Scale for Nurses, and the Simple Coping Style Scale.ResultsThe assessed stress level of outpatient and emergency nurses in 29 tertiary pediatric specialty hospitals nationwide is lower than the results of the survey of the 2007 domestic norm, p < 0.05. The stressors related to nurses’ expectations, family conflicts, the nature of nursing work, patient factors, and workload were lower compared with the national norm. The positive coping style score on the Simple Coping Style Scale for pediatric outpatient nurses was, and work stressors were positively associated with negative coping styles. Multiple regression analysis showed that the influencing factors of work stressors among pediatric outpatient and emergency nurses correlated with the authorized size, age, working years of nurses, work department, and negative coping styles.ConclusionNegative coping styles were present among pediatric outpatient and emergency nurses and were associated with work stressors. The influencing factors of stressors mainly correlated with the clinical establishment, age, years of employment as a nurse, work department, and negative coping styles. (shrink)

Underwater object detection plays an important role in research and practice, as it provides condensed and informative content that represents underwater objects. However, detecting objects from underwater images is challenging because underwater environments significantly degenerate image quality and distort the contrast between the object and background. To address this problem, this paper proposes an optical prior-based underwater object detection approach that takes advantage of optical principles to identify optical collimation over underwater images, providing valuable guidance for extracting object features. Unlike (...) data-driven knowledge, the prior in our method is independent of training samples. The fundamental novelty of our approach lies in the integration of an image prior and the object detection task. This novelty is fundamental to the satisfying performance of our approach in underwater environments, which is demonstrated through comparisons with state-of-the-art object detection methods. (shrink)

In this paper, the stabilization problem of nonholonomic chained-form systems is addressed with uncertain constants. In this paper, the active disturbance rejection control is designed to solve this problem. The proposed control strategy combines extended state observer and adaptive sliding mode controller. The control of nonholonomic chained-form systems with dynamic nonlinear uncertain terms and uncertain constants is first discussed in this paper. In comparison with existing methods, the proposed method in this paper has better performance. It is proved that, with (...) the application of the proposed control strategy, semiglobal finite-time stabilization of the systems is achieved. An example is given to illustrate the effectiveness of the proposed method. (shrink)