The existing numerous adaptive variants of differential evolution have been improved the search ability of classic DE to certain extent. Nevertheless, those variants of DE do not obtain the promising performance in solving black box problems with unknown features, which is mainly because the adaptive rules of those variants are designed according to their designers’ cognition on the problem features. To enhance the optimization ability of DE in optimizing black box problems with unknown features, a differential evolution with autonomous selection (...) of mutation strategies and control parameters is proposed in this paper, inspired by autonomous decision-making mechanism of reinforcement learning. In ASDE, a historical experience archive with population features is utilized to preserve accumulated historical experience of the combination of mutation strategies and control parameters. Furthermore, the accumulated historical experience can be autonomously mapped into rules repository, and the individuals can choose the combination of mutation strategies and control parameters according to those rules. Additionally, an updating and utilization mechanism of the historical experience is designed to assure that the historical experience can be effectively accumulated and utilized efficiently. Compared with some state-of-the-art intelligence algorithms on 15 functions of CEC2015, 28 functions of CEC2017, and parameter extraction problems of the photovoltaic model, ASDE has the advantages of solution accuracy, convergence speed, and robustness in solving black box problems with unknown features. (shrink)

To improve the movie box office prediction accuracy, this paper proposes an adaptive attention with consumer sentinel for movie box office prediction. First, the influencing factors of the movie box office are analyzed. Tackling the problem of ignoring consumer groups in existing prediction models, we add consumer features and then quantitatively analyze and normalize the box office influence factors. Second, we establish an LSTM box office prediction model and inject the attention mechanism to construct an adaptive attention with consumer sentinel (...) for movie box office prediction. Finally, 10,398 pieces of movie box office dataset are used in the Kaggle competition to compare the prediction results with the LSTM-AACS model, LSTM-Attention model, and LSTM model. The results show that the relative error of LSTM-AACS prediction is 6.58%, which is lower than other models used in the experiment. (shrink)

Previous neurological studies of shyness have focused on the hemispheric asymmetry of alpha spectral power. To the best of our knowledge, few studies have focused on the interaction between different frequencies bands in the brain of shyness. Additionally, shy individuals are even shyer when confronted with a group of people they consider superior to them. This study aimed to reveal the neural basis of shy individuals using the delta-beta correlation. Further, it aimed to investigate the effect of evaluators’ facial attractiveness (...) on the delta-beta correlation of shyness during the speech anticipation phase. We recorded electroencephalogram activity of 94 participants during rest and anticipation of the public speaking phase. Moreover, during the speech anticipation phase, participants were presented with high or low facial attractiveness. The results showed that, as predicted, the delta-beta correlation in the frontal region was more robust for high shyness than for low shyness during the speech anticipation phase. However, no significant differences were observed in the delta-beta correlation during the baseline phase. Further exploration found that the delta-beta correlation was more robust for high facial attractiveness than low facial attractiveness in the high shyness group. However, no significant difference was found in the low-shyness group. This study suggests that a stronger delta-beta correlation might be the neural basis for shy individuals. Moreover, high facial attractiveness might enhance the delta-beta correlation of high shyness in anticipation of public speaking. (shrink)

It is important for energy enterprises to research on the investment potential of the energy markets in countries along the “Belt and Road,” which can help them optimize the regional investment structure, reduce investment risks, and conform to the development trend of “going global.” Therefore, we construct an investment potential assessment system of 29 indexes including five dimensions: politics, economy, society, energy, and cooperation and assess energy investment potential of 48 sample countries along the “Belt and Road” using principal component (...) analysis to provide reference meanings for energy enterprises. The results show that the assessment results of investment potential are affected by a combination of multiple indexes. In addition, compared with Central Asia and South Asia, which have weak economic foundations and greater political and legal risks, the investment potential of Central and Eastern Europe and some emerging economies in Southeast Asia is higher. (shrink)

Poetry evokes mental imagery in its readers. But how is mental imagery precisely related to poetry? This article provides a systematic treatment. It clarifies two roles of mental imagery in relation to poetry—as an effect generated by poetry and as an efficient means for understanding and appreciating poetry. The article also relates mental imagery to the discussion on the ‘heresy of paraphrase’. It argues against the orthodox view that the imagistic effects of poetry cannot be captured by prosaic paraphrase, but (...) points to features of poetry that can shape aspects of mental imagery that are liable to be lost in paraphrase. (shrink)

Organizational leaders are eager to unlock the creative potential of followers. Yet, there is growing evidence that creativity can also have a dark side within organizations. Building on research linking creativity and unethical behavior, we develop the construct of creative unethicality—behavior that is both unethical and novel. We draw on social exchange theory to develop a model that identifies both why and when creative unethicality emerges within organizations. Specifically, we investigate the exchange dynamics through which creative support provided by empowering (...) leaders facilitates creative unethicality under conditions of high performance pressure. Across two multi-wave, multi-source field studies with employee-coworker and leader-subordinate dyads and an experimental study with a novel unethicality measure in a business simulation, we find convergent support for our theoretical model. These findings have important theoretical and practical implications for fostering creativity in organizations without simultaneously facilitating creative unethicality. (shrink)

Emotion recognition plays an important role in intelligent human–computer interaction, but the related research still faces the problems of low accuracy and subject dependence. In this paper, an open-source software toolbox called MindLink-Eumpy is developed to recognize emotions by integrating electroencephalogram and facial expression information. MindLink-Eumpy first applies a series of tools to automatically obtain physiological data from subjects and then analyzes the obtained facial expression data and EEG data, respectively, and finally fuses the two different signals at a decision (...) level. In the detection of facial expressions, the algorithm used by MindLink-Eumpy is a multitask convolutional neural network based on transfer learning technique. In the detection of EEG, MindLink-Eumpy provides two algorithms, including a subject-dependent model based on support vector machine and a subject-independent model based on long short-term memory network. In the decision-level fusion, weight enumerator and AdaBoost technique are applied to combine the predictions of SVM and CNN. We conducted two offline experiments on the Database for Emotion Analysis Using Physiological Signals dataset and the Multimodal Database for Affect Recognition and Implicit Tagging dataset, respectively, and conducted an online experiment on 15 healthy subjects. The results show that multimodal methods outperform single-modal methods in both offline and online experiments. In the subject-dependent condition, the multimodal method achieved an accuracy of 71.00% in the valence dimension and an accuracy of 72.14% in the arousal dimension. In the subject-independent condition, the LSTM-based method achieved an accuracy of 78.56% in the valence dimension and an accuracy of 77.22% in the arousal dimension. The feasibility and efficiency of MindLink-Eumpy for emotion recognition is thus demonstrated. (shrink)

This paper describes the investigations performed to better understand two-stage rotor speed matching in a contrarotating fan. In addition, this study develops a comprehensive measuring and communication system for a contrarotating fan using ZigBee network. The investigation method is based on three-dimensional RANS simulations; the RANS equations are solved by the numerical method in conjunction with a SST turbulence model. A wireless measurement system using big data method is first designed, and then a comparison is done with experimental measurements to (...) outline the capacity of the numerical method. The results show that when contrarotating fan worked under designed speed, performance of two-stages rotors could not be matched as the designed working condition was deviated. Rotor 1 had huge influences on flow rate characteristics of a contrarotating fan. Rotor 2 was influenced by flow rates significantly. Under large flow rate condition, the power capability of rotor 2 became very weak; under working small flow rate condition, overloading would take place to class II motor. In order to solve the performance mismatch between two stages of CRF under nondesigned working conditions, under small flow rate condition, the priority shall be given to increase of the speed of rotor 1, while the speed of rotor 2 shall be reduced appropriately; under large flow rate condition, the speed of rotor 1 shall be reduced and the speed of rotor 2 shall be increased at the same time. (shrink)

This paper further extends the existing GARCH-MIDAS model to deal with the effect of microstructure noise in mixed frequency data. This paper has two highlights. First, according to the estimation of the long-term volatility components of the GARCH-MIDAS model, rAVGRV is adopted to substitute for the RV estimator. rAVGRV uses the rich data sources in tick-by-tick data and significantly corrects the impact of the microstructure noise on volatility estimation. Second, besides introducing macroeconomic variables, deposits in financial institutions, industrial value-added, and (...) M2), Chinese Economic Policy Uncertainty index and Infectious Disease Equity Market Volatility Tracker are introduced in the long-run volatility component of the GARCH-MIDAS model. As indicated by the results of this paper, the rAVGRV-based GARCH-MIDAS is slightly better than the RV model-based GARCH-MIDAS. In addition to the common macroeconomic variables significantly impacting stock market volatility, CEPU also substantially impacts stock market volatility. Nevertheless, the effect of EMV on the stock market is insignificant. (shrink)

In this article, we study a minimal change approach to preference dynamics. We treat a set of preferences as a special kind of theory, and define minimal change preference contraction and revision operations in the spirit of the Alchourrón, Gärdenfors, and Makinson theory of belief revision. We characterise minimal contraction of preference sets by a set of postulates and prove a representation theorem. We also give a linear time algorithm which implements minimal contraction by a single preference. We then define (...) minimal contraction by a set of preferences, and show that the problem of a minimal contraction by a set of preferences is NP-hard. (shrink)

陈沛霖(1934~ ),湖南株洲人,华中师范大学教育系心理学副教授、基础心理学教研室主任,湖北省心理学会副理事长、省社科联委员.

The purpose of the study is to promote college students to actively respond to the national “Public Entrepreneurship and Mass Innovation” policies and calls, improve college students’ entrepreneurial enthusiasm and their entrepreneurial ability, and cultivate their good entrepreneurial psychological states. First, the relevant content of entrepreneurship psychology and causal attribution theory is displayed. Second, the questionnaire of college students’ entrepreneurship education is formulated and a questionnaire survey is conducted on University N based on the relevant content of entrepreneurship psychology. Subsequently, (...) the management system of new venture A is taken as the research object to construct the management strategy of new ventures and simulate the implementation process. Finally, the questionnaire survey results of college students’ entrepreneurship education are analyzed and the corresponding entrepreneurship education path is formulated. Meanwhile, the implementation effect of the management strategy of new ventures is evaluated. After the questionnaire is sorted out, it is found that there are some problems in college students’ entrepreneurship education, such as weak awareness of entrepreneurship, insufficient publicity, outdated curriculum, and unqualified teachers. The reasons for these problems are the constraints of traditional concepts, insufficient attention, and incomplete system construction. Therefore, a plan is made for overall entrepreneurship education, the publicity of the concept of entrepreneurship education is strengthened, and the setting of entrepreneurship education curriculum and the ability of the teachers for entrepreneurship education are improved. Through the evaluation of the simulation implementation of a new enterprise management strategy, it is found that the new management strategy can achieve the expected effect. Therefore, this study provides some references for the development of college students’ entrepreneurship education and the management strategy of new ventures. (shrink)

Most binaural speech source localization models perform poorly in unprecedentedly noisy and reverberant situations. Here, this issue is approached by modelling a multiscale dilated convolutional neural network. The time-related crosscorrelation function and energy-related interaural level differences are preprocessed in separate branches of dilated convolutional network. The multiscale dilated CNN can encode discriminative representations for CCF and ILD, respectively. After encoding, the individual interaural representations are fused to map source direction. Furthermore, in order to improve the parameter adaptation, a novel semiadaptive (...) entropy is proposed to train the network under directional constraints. Experimental results show the proposed method can adaptively locate speech sources in simulated noisy and reverberant environments. (shrink)

Healthcare workers’ voice is of importance in decreasing medical accidents and improving the efficacy of hospital units. To investigate the impact and the underlying mechanisms of supervisors’ negative mood on healthcare workers’ voice behavior, based on the mood contagion perspective, we designed a cross-sectional study, with 299 healthcare workers from mainland China completed the questionnaires. The results indicated supervisors’ negative mood was positively related to healthcare workers’ negative mood, which further led to less constructive voice and more defensive voice. Moreover, (...) the healthcare worker’s emotional intelligence aspect of self-emotion appraisal moderated this relationship, but not others-emotion appraisal. We believe healthcare workers’ supervisors should pay attention to their negative mood expression and regulation. In the hope of reducing being influenced by supervisors’ negative mood, training about noticing and recognizing their own emotions are needed for healthcare workers. (shrink)

本书内容包括什么是法社会学、多元化的法概念、社会·法律·法律文化、法与社会制度、法与社会发展、法与社会分层、法与社会问题、法与社会控制、法与社会化、法律职业、法的实现等11章。.

Edited in collaboration with FoLLI, the Association of Logic, Language and Information this book constitutes the refereed proceedings of the Second Interdisciplinary Workshop on Logic, Language, and Meaning, TLLM 2020, held in Tsinghua, China, in December 2020. The 12 full papers together presented were fully reviewed and selected from 40 submissions. Due to COVID-19 the workshop will be held online. The workshop covers a wide range of topics where monotonicity is discussed in the context of logic, causality, belief revision, quantification, (...) polarity, syntax, comparatives, and various semantic phenomena in particular languages. (shrink)

This study examines the impact of bank corporate governance reforms in the wake of the financial crisis. These reforms correspond to criticism of shareholder-focused agency-based corporate governance practices and a renewed focus on the stakeholder impact of corporate governance lapses in the financial sector. This study differs from previous studies of corporate governance in the financial sector in using performance indicators that proxy the interests of customers and the community. Drawing on data from 134 countries over an eight-year period from (...) 2004 to 2011, we find that the post-crisis corporate governance reforms in the banking sector appear to be effective in promoting greater bank attention to non-shareholder stakeholders’ interests. This study provides a means to conceptualize measures of bank performance from a stakeholder perspective in order to test emerging ideas about governance effectiveness in the financial sector. (shrink)

BackgroundThe high incidence of post-stroke depression during rehabilitation exerts a negative effect on the treatment and functional recovery of patients with stroke and increases the risk of mortality. It is necessary to screen PSD in the rehabilitation stage and thus provide effective intervention strategies. However, existing measurements used to assess PSD in the rehabilitation stage in patients with stroke lack specificity. This study aimed to develop a clinical measure to assess symptoms of PSD in the rehabilitation stage.MethodsThe research team created (...) the initial items through a literature review and semi-structured interviews of patients with stroke. Then, the symptom-related items were estimated by three panels: healthcare professionals, Delphi experts, and patients with stroke in the rehabilitation stage.ResultsThe literature review and semi-structured interview produced 51 symptom-related items including six domains, and the items were reduced to 47 by the healthcare professionals. The symptom-related items were further reduced to 33 items by a two-round Delphi consultation. The initiative coefficients of the two Delphi rounds were 71.4 and 100%, the expert authority coefficients were both 0.85, Kendall’s W were 0.152 and 0.408, and the coefficient of variation were 0.05–0.32 and 0.00–0.18, respectively. The item-level content validity index was 0.53–1.00, the scale-level CVI/universal agreement was 0.26, and the S-CVI/average was 0.85 for the first found Delphi consultation; the I-CVI was 0.67–1.00, the S-CVI/UA was 0.61, and the S-CVI/Ave was 0.97 for the second round Delphi consultation. All content validity indicators have been significantly improved compared with the first round. Using mean ≥ 4 and full score ≥ 0.5, combined with CV ≤ 0.16 as the item criteria, a clinical measure of PSD with 33 items and 6 dimensions was finally formed after two rounds. The patients with stroke made no further revisions after evaluation.ConclusionThe research team developed a specific tool with good content validity to assess the symptoms of PSD in the rehabilitation stage. (shrink)

The longitudinal, qualitative study aimed to explore the lived experiences of Chinese university emerging adults by analyzing their personal life stories, reflective journals, and semi-structured interview data collected over a 2-year period. A qualitative content analysis was used to identify five themes: maturity, academic performance, interpersonal communication skills, social support network, and sense of loss. The study found that the growth in emerging adulthood was dynamic, positive, and multifaceted. The study demonstrated that writing personal life stories, as a practice of (...) meaningful literacy instruction in EFL contexts, helped students to record a memorable past, reconcile with the past, and strive for personal growth. These findings suggest that emerging adults’ personal growth be stressed in foreign language teaching to promote Chinese university emerging adults’ growth and development. It is also suggested that personal life stories be used in foreign language teaching under the guidance of meaningful literacy instruction. (shrink)

The small- and medium-sized tourism and hospitality enterprises are the main forms of enterprises in Macao. This study put forward a new framework of survival and sustainable development from the perspective of competitive advantage and regional soft environment, which significantly holds theoretical and practical research value. The study obtained cross-sectional data of 317 small- and medium-sized tourism and hospitality enterprises in Macao through a large-scale questionnaire survey. This article used exploratory factor analysis and confirmatory factor analysis to test the reliability (...) and validity of each factor system and its measurement scale. The variance analysis is used to judge the differences between the elements. The regression analysis is used to verify the hypothesis of a causal relationship between factors. The structural equation analysis is used to fit the model and make necessary amendments. The results reveal that the government service environment has a significant positive impact on the ability of an entrepreneur. In addition, the regional soft environment significantly impacts the competitive advantage of small- and medium-sized tourism and hospitality enterprises in Macao. Contrary, the impact of laws of Macao on the acquisition of financial resources and the promotion of entrepreneur ability and innovation ability is found insignificant. In conclusion, the results showed that market of Macao lacks venture investors where enterprises cannot obtain funds through angel financing or risk financing. (shrink)

This study investigated the effect of non-task language in language switching experiment. Non-task language refers to participants’ language(s) (regardless of proficiency level) that are not used in any trials throughout the experiment. We recruited 60 Tibetan-Chinese-English trilinguals (grade-12 high school students with a median age of 17) to perform a lexical decision (word vs. non-word) task in only two of their languages. We repeated the experiment three times to present each language pair once. In each experiment, the participants were divided (...) into two groups which significantly contrasted with each other in their non-task language while remained comparable in the two task languages. Response time (RT) and error rate (ER) have been examined to evaluate task performance. The interaction between task performance and the participants’ proficiency in the non-task language was also examined. The results showed null effect of language switching. In addition, the effect of the non-task language was not found. These results were interpreted with reference to the main models of bilingual visual word recognition and the role of orthography specificity. (shrink)

Due to the inevitable delay phenomenon in the process of signal conversion and transmission, time delay is bound to occur between neurons. Therefore, it is necessary to introduce the concept of time delay into the membrane computing models. Spiking neural P systems, as an attractive type of neural-like P systems in membrane computing, are widely followed. Inspired by the phenomenon of time delay, in our work, a new variant of spiking neural P systems called delayed spiking neural P systems is (...) proposed. Compared with normal spiking neural P systems, the proposed systems achieve time control by setting the schedule on spiking rules and forgetting rules, and the schedule is also used to realize the system delay. A schedule indicates the time difference between receiving and outputting spikes, and it also makes the system work in a certain time, which means that a rule can only be used within a specified time range. We specify that each rule is performed only in the continuous schedule, during which the neuron is locked and cannot send or receive spikes. If the neuron is not available at a given time, it will not receive or send spikes due to the lack of a schedule for this period of time. Moreover, the universality of DSN P systems in both generating and accepting modes is proved. And a universal DSN P system having 81 neurons for computing functions is also proved. (shrink)

This paper discusses Wittgenstein understood the language of the dimensions of the human form of life point of view, we oppose the idea and the text is the interpretation of the relationship between the nature of the argument. Move to reposition Wittgenstein language, means the direct meaning of the moment, rather than explain, and not because of our shortage of facts and work to a standstill. The main thrust of this significance and the fact that a direct interaction between the (...) current text of the practice of continuing involvement, the text was able to express the meaning of the moment between the facts and narrative unity. In other words, Wittgenstein on the rules, customs, or life in the form of reflection, allows us to claim the author intended meaning of the text depends on the point of view, and negative with the intention of the author of a variety of relativism between the interpretation of , the transfer can be prudent to try to speculate Huan room. For example, Stanley Xu fee claim, meaning diverse, according to the interests of our interests, goals and assumptions of the "default" of the "premise" and different. But Wittgenstein's writings, pointed out that the rules in order to grasp the meaning of such person does not involve the "premise" of the argument. Is a form of life on our training the next day, and thus to control of both the immediate and direct facts and meaning. This allows us to re-confirm, indeed, does not rely on the text to explain the fact that there is, in fact and thus understand the text for further explanation for the fact that between the true distinction. Meaning and truth of the "total structure" does not eliminate the practice of interpretation, but will be classified as appropriate Field, is the world we start to go beyond the immediate text directly taken to the open practice. • We will be reading Jane Austen's "Mansfield Park", for example, to influence our thinking about changing the form of text to read way to view this view. This paper argues that a Wittgensteinian understanding of language as an integral dimension of human forms of life speaks against the view that our relationship to texts is interpretive in nature. Wittgenstein's re-orientation to language entails that meaning is immediate rather than interpretive, and that our works don't stop short of the facts. The aim of this paper is to show that the immediate mutuality of meanings and facts carries over to our textual practices so that our texts make available immediate unities of meanings and narrative facts. That is, Wittgenstein's reflections on following rules, customs or forms of life allow us to steer a careful course between the view that a text is determined by the author's intentions and a relativism of variable interpretations that results from denying the relevance of authorial intentions. For example, Stanley Fish holds that meanings vary insofar as they are "predetermined 'by our" presuppositions "-our interests, goals and assumptions. But Wittgenstein's work suggests that following rules, and hence grasping meanings, does not involve something as variable as individual" presuppositions. "Rather , our training into forms of life opens up a second-nature where grasp of both facts and meanings is immediate. This allows us to re-affirm the view that there are textual facts that do not depend on interpretation; that there is a difference between apprehending the facts of a text and going on to provide further interpretations of those facts. The 'co-constitution' of meanings and facts does not foreclose interpretive practices but allocates them to their proper sphere-as practices that we may wish to undertake in order to go beyond the initial immediate openness of the world of a text. We can test this view by considering the way our changing forms of forms affect the way we read a text such as Jane Austen's Mansfied Park. (shrink)

The present study critically evaluates whether school leadership influences student learning homogenously regardless of school contexts. It examined relationships between four principal leadership variables (envisioning, instructional management, promoting professional development, empowerment) and two types of student outcomes (enjoyment in learning science, science achievement,) in different school contexts (in terms of the availability of science resources, quality of science teachers, and school socioeconomic status (SES)). The sample comprised 248,620 students and 9,370 principals in 35 developed countries who participated in the Programme (...) for International Student Assessment (PISA) 2015. Latent profile analysis (LPA) showed that schools operated in three types of school contexts with different levels of science resources, proportion of quality science teachers, and school SES. There were also differences in the pattern of leadership practices across the three types of school contexts. Three-level hierarchical linear modeling (HLM) showed that among the four leadership variables, only instructional management was positively associated with students’ enjoyment of science in schools with less science resources and quality science teachers. Therefore, instructional management had compensatory effects for students in less-endowed schools. In contrast, principal leadership related to envisioning, teacher professional development, and empowerment was not positively related to students’ science learning in all three school contexts. (shrink)

Maximizing is a topic that has received significant attention from researchers and corporate organizations alike. Although extensive previous research has explored how maximizers behave in a decision scenario, a fundamental question remains about why they prefer a larger assortment regardless of whether the decisions are important or not. This study attempts to explore the underlying mechanism of this phenomenon. Four surveys were conducted, and participants from Mturk or Credamo online platforms were recruited. The maximizing tendency was measured by either maximization (...) scale or maximizing tendency scale, and perceived importance and preference for a large assortment were measured in different decision scenarios. Across four studies, we find that maximizers perceive the same decision as more important than satisficers, and perceived importance serves as the mechanism underlying the maximizers’ preference for a large assortment. In other words, in maximizers’ perceptions and interpretations, even seemingly trivial decisions are important enough to spend great effort on a large assortment. We additionally identified a boundary condition for the effect – cost salience. These findings illustrate a pioneering empirical exploration of the difference in the way maximizers and satisficers perceive their decision importance and the reason for maximizers’ preference for a large assortment. (shrink)

This study examines the relationship among the employees–organization pro-environmental values fit, supervisors’ PEVs and employees’ pro-environmental behaviors. Informed by the PEB, organizational values and employee–organization fit literature, we propose and test hypotheses that under egoistic, altruistic and biosphere-value orientations, E–O PEVs fit versus non-fit have significant effects on employees’ private-sphere PEB and public-sphere PEB, identifying supervisors’ PEVs as a moderator. An empirical investigation indicates that the effect of E–O PEVs fit on employees’ private-sphere PEB and public-sphere PEB varies as the (...) value orientation differs. More specifically, under the context of altruistic and biosphere-value orientations, if the organizational PEVs do not match the employees’ PEVs, especially when the former exceeds the latter, employees’ PEB will rise as the organizational PEVs increase. As for egoistic value orientation, when organizational PEVs exceed employees’ PEVs, not only will public-sphere PEB stop decreasing and tend to stabilize, but also private-sphere PEB will rise to a slight degree. Furthermore, compared with altruistic and biospheric values dimensions, supervisors who promote egoistic PEVs will have a more significant effect on the relationship between global E–O PEVs fit and employees’ PEB. Finally, we suggest that the goals of an organization and its supervisors need to be combined within the actual situation of Chinese corporations to truly implement corporate green practices by balancing the profit goal and the environmental goal. (shrink)

In this paper, a size-independent modification of the general detrended fluctuation analysis method is introduced. With this modified DFA, seismic time series pertaining to most seismically active regions of the world from the year1972up to the year2016are comparatively analyzed. An eminent homogeneity of spatial clustering behaviors in worldwide range is detected and DFA scaling exponents coincide with previous results for local regions. Furthermore, universal nontrivial spatial clustering behaviors are revealed from shallow to intermediate-depth earthquakes by varying the depth of the (...) hypocenter: in shallow earthquakes, the depth range corresponding to the minimum spatial clustering is first verified to be spatiotemporal and identical; in intermediate-depth earthquakes, strong weakening long-range correlations compared to shallow earthquakes are unveiled to strengthen the recent findings in seismology. Our work aims to suggest a possible statistical approach to explore the dynamic mechanisms implied in the seismicity as well as in other analogous dynamic evolution processes. (shrink)

Despite numerous published writings on China's regional role, the world still knows very little about Beijing's perception and strategy. This article seeks to make an intellectual contribution in understanding China's foreign policy and its efforts to participate in East Asian integration. This article argues that under the rhetoric of peaceful development and community building, China's foreign policy is pragmatic and changes with the tide of events in international relations. China's participation in regional integration serves as a good case for examining (...) changes in Beijing's strategy. In the past two decades, China has moved from a reluctant participant of regional affairs to an active participant and potential future leader. China's adjusting role is a consequence of Beijing's pragmatism in policy and its growing economic confidence. Pragmatism has led China to and wait for the proper timing to step onto the world stage. (shrink)

Exact solutions of epidemic models are critical for identifying the severity and mitigation possibility for epidemics. However, solving complex models can be difficult when interfering conditions from the real-world are incorporated into the models. In this paper, we focus on the generally unsolvable adaptive susceptible-infected-susceptible epidemic model, a typical example of a class of epidemic models that characterize the complex interplays between the virus spread and network structural evolution. We propose two methods based on mean-field approximation, i.e., the first-order mean-field (...) approximation and higher-order mean-field approximation, to derive the exact solutions to ASIS models. Both methods demonstrate the capability of accurately approximating the metastable-state statistics of the model, such as the infection fraction and network density, with low computational cost. These methods are potentially powerful tools in understanding, mitigating, and controlling disease outbreaks and infodemics. (shrink)

The grey system model with time power, which is often called the GM, appeals considerable interest of research due to its effectiveness in time series forecasting. Aimed to improve further the GM model, this paper introduces a new whitening equation with variable coefficient into the original whitening equation which extends applicable scope; as a result, an improved grey model with time power, namely, OGM, is proposed. Firstly, the time response function of the novel model and the restored values of original (...) series are deduced through grey modelling techniques. Secondly, the variable coefficient in the whitening equation and the time power are determined by particle swarm optimization algorithm. Two empirical examples are then used to verify the validity of the novel model. Finally, the novel model is applied to predict the oil consumption of China from 2004 to 2018. Results show the novel model outperforms other commonly-used competitive models, which can well serve a benchmark model for scholars and decision-makers. (shrink)

The COVID-19 pandemic has caused major changes in the psychological capital structure of individuals and groups, especially among members of the upper echelons of Chinese mixed-ownership reform enterprises, who are more sensitive to the environment. Based on prospect theory. In order to further study the changes in the psychological capital structure of upper echelons of the mixed ownership reform of state-owned enterprises under the influence of the COVID-19, and what impact it has on the decision-making behavior of the upper echelons (...) and the development performance of the mixed ownership reform enterprises, this paper introduces the system dynamics research method into the research field of the upper echelons for the first time, and studies the psychological capital structure of the upper echelons through simulation. This paper puts forward new research ideas for the research on the psychological capital structure of upper echelons. Using the system dynamics method, this study investigates the changes induced by the COVID-19 pandemic, on the psychological capital structure of the upper echelons of Chinese mixed-ownership reform enterprises; and assesses the concept model of behavioral psychological capital adjustment. The impact of COVID-19 on communication strategies among upper echelons, directly affects the evolution results of the decision-making system. The psychological capital structure in the upper echelons has evolutionary stability strategies in three cases. In some cases, the system evolution presents periodic characteristics. The higher the probability of group communication, the more stable the psychological capital structure, and the greater the fluctuation of behavioral integration. There is a significant correlation between the level of efficacy and resilience of upper echelons psychological capital structure and upper echelons decision-making behavior. Under the condition of improving the communication probability among upper echelon members, there is a positive correlation between the level of hope and optimism of upper echelon and the power structure of upper echelon and the development performance of mixed reform enterprises. Develop the psychological capital structure of upper echelon of mixed reform enterprises, improve the level of financing development decision-making ability and improve decision-making performance. (shrink)