We examine the equity valuation effect of press releases of upgrades or downgrades reflected in the Covalence Ethical Quote, an index ranking the ethical performance of multinational firms. The index is updated quarterly and is comprehensive enough to include 45 criteria reflecting working conditions, impact of product, impact of production, and company institutional impact. Thus, it captures many dimensions of firms’ ethical performance that are not accounted for in previous research. Our research encompasses a joint test of the value relevance (...) of the index itself and the impact of ethical reputation on a firm’s value. We find first a significant causal relationship between stock market reactions and changes in the CEQ. Specifically, disclosures of positive changes in firm ethical performance cause increases in firm value. Second, cross-sectional analysis indicates a positive association between changes in firm ethical performance and both its financial performance and its financial reporting quality. Collectively, these results suggest that the CEQ conveys information that is useful to investors. Further, corporate measures taken to increase ethical performance are associated with positive benefits to shareholders. Finally, investors have concluded that good news about their firms’ efforts to be ethical is worth the cost. (shrink)

The complexity of the Hedgehog (Hh) signaling cascade has increased over the course of evolution; however, it does not suffice to accommodate the dynamic yet robust requirements of differential Hh signaling activity needed for embryonic development and adult homeostatic maintenance. One solution to solve this dilemma is to apply multiple forms of post‐translational modifications (PTMs) to the core Hh signaling components, modulating their abundance, localization, and signaling activity. This review summarizes various forms of protein modifications utilized to regulate Hh signaling, (...) with a special emphasis on crosstalk between different forms of PTMs and their feedback regulation by Hh signaling. (shrink)

Color harmony is the focus of many researchers in the field of art and design, and its research results have been widely used in artistic creation and design activities. With the development of signal processing and artificial intelligence technology, new ideas and methods are provided for color harmony theory and color harmony calculation. In this article, psychological experimental methods and information technology are combined to design and quantify the 16-dimensional physical features of multiple colors, including multi-color statistical features and multi-color (...) contrast features. Eighty-four subjects are invited to give a 5-level score on the degree of color harmony for 164 multi-color materials selected from the screenshots of film and television scenes. Based on the multi-color physical features and the subjective evaluation experiment, the correlation analysis is firstly carried out, which shows that the overall lightness, difference of the color tones, number of multiple colors, lightness contrast, color tone contrast, and cool/warm contrast are significantly correlated with color harmony. On the other hand, the regression prediction model and classification prediction model of color harmony are constructed based on machine learning algorithms. In terms of regression prediction model, the prediction accuracy of linear models is higher than that of nonlinear models, with 63.9% as the highest, indicating that the multi-color physical features can explain color harmony well. In terms of classification prediction model, the Random Forest has the best prediction performance, with an accuracy of 80.2%. (shrink)

Neuroimaging technologies have improved our understanding of deception and also exhibit their potential in revealing the origins of its neural mechanism. In this study, a quantitative power analysis method that uses the Welch power spectrum estimation of functional near-infrared spectroscopy signals was proposed to examine the brain activation difference between the spontaneous deceptive behavior and controlled behavior. The power value produced by the model was applied to quantify the activity energy of brain regions, which can serve as a neuromarker for (...) deception detection. Interestingly, the power analysis results generated from the Welch spectrum estimation method demonstrated that the spontaneous deceptive behavior elicited significantly higher power than that from the controlled behavior in the prefrontal cortex. Meanwhile, the power findings also showed significant difference between the spontaneous deceptive behavior and controlled behavior, indicating that the reward system was only involved in the deception. The proposed power analysis method for processing fNIRS data provides us an additional insight to understand the cognitive mechanism of deception. (shrink)

Schizophrenia is a serious mental illness characterized by a disconnection between brain regions. Transcranial magnetic stimulation is a non-invasive brain intervention technique that can be used as a new and safe treatment option for patients with schizophrenia with drug-refractory symptoms, such as negative symptoms and cognitive impairment. However, the therapeutic effects of transcranial magnetic stimulation remain unclear and would be investigated using non-invasive tools, such as functional connectivity. A longitudinal design was adopted to investigate the alteration in FC dynamics using (...) a dynamic functional connectivity approach in patients with schizophrenia following high-frequency repeated transcranial magnetic stimulation with the target at the left dorsolateral prefrontal cortex. Two groups of schizophrenia inpatients were recruited. One group received a 4-week high-frequency rTMS together with antipsychotic drugs, while the other group only received antipsychotic drugs. Resting-state functional magnetic resonance imaging and psychiatric symptoms were obtained from the patients with schizophrenia twice at baseline and after 4-week treatment. The dynamics was evaluated using voxel- and region-wise FC temporal variability resulting from fMRI data. The pattern classification technique was used to verify the clinical application value of FC temporal variability. For the voxel-wise FC temporary variability, the repeated measures ANCOVA analysis showed significant treatment × time interaction effects on the FC temporary variability between the left DLPFC and several regions, including the thalamus, cerebellum, precuneus, and precentral gyrus, which are mainly located within the cortico-thalamo-cerebellar circuit. For the ROI-wise FC temporary variability, our results found a significant interaction effect on the FC among CTCC. rTMS intervention led to a reduced FC temporary variability. In addition, higher alteration in FC temporal variability between left DLPFC and right posterior parietal thalamus predicted a higher remission ratio of negative symptom scores, indicating that the decrease of FC temporal variability between the brain regions was associated with the remission of schizophrenia severity. The support vector regression results suggested that the baseline pattern of FC temporary variability between the regions in CTCC could predict the efficacy of high-frequency rTMS intervention on negative symptoms in schizophrenia. These findings confirm the potential relationship between the reduction in whole-brain functional dynamics induced by high-frequency rTMS and the improvement in psychiatric scores, suggesting that high-frequency rTMS affects psychiatric symptoms by coordinating the heterogeneity of activity between the brain regions. Future studies would examine the clinical utility of using functional dynamics patterns between specific brain regions as a biomarker to predict the treatment response of high-frequency rTMS. (shrink)

This paper presents a human–robot interaction framework where a robot can infer implicit affective cues of a human and respond to them appropriately. Affective cues are inferred by the robot in real-time from physiological signals. A robot-based basketball game is designed where a robotic “coach” monitors the human participant’s anxiety to dynamically reconfigure game parameters to allow skill improvement while maintaining desired anxiety levels. The results of the above-mentioned anxiety-based sessions are compared with performance-based sessions where in the latter sessions, (...) the game is adapted only according to the player’s performance. It was observed that 79% of the participants showed lower anxiety during anxiety-based session than in the performance-based session, 64% showed a greater improvement in performance after the anxiety-based session and 71% of the participants reported greater overall satisfaction during the anxiety-based sessions. This is the first time, to our knowledge, that the impact of real-time affective communication between a robot and a human has been demonstrated experimentally. (shrink)

: Confucianism is often valued as a doctrine that highlights both the individual and social dimensions of the ideal person, for it indeed puts special emphasis on such lofty goals as loving all humanity and cultivating the self. Through a close and critical analysis of the texts of the Analects and the Mencius, however, it is attempted to demonstrate that because Confucius and Mencius always take filial piety, or, more generally, consanguineous affection, as not only the foundation but also the (...) supreme principle of human life, the individual and social dimensions are inevitably subordinated to and substantially negated by the filial precisely within the Confucian framework, with the result that Confucianism in essence is neither collectivism nor individualism, but "consanguinitism.". (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)

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)

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 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)

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.

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)

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)

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)

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)

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)

Putnam and Burge have been viewed as launching a joint attack on individualism, the view that the content of one's psychological state is determined by what is in the head . Putnam argues that meanings are not in the head while Burge argues that beliefs are not in the head either, and both have come up with convincing arguments against individualism. It is generally conceived that Putnam's view is a version of physical externalism, which argues that factors in the physical (...) environment play a role in determining the meanings of natural kind terms. Burge, on the other hand, is regarded as following up Putnam's argument to bring in factors in the social environment for the determination of belief. Burge's view has been commonly referred to as 'social externalism.' The general consensus in the field is that physical externalism and social externalism are compatible views. Furthermore, both Putnam and Burge seem to endorse each other’s position for the most part. In this paper, however, I shall argue against this general view to show that the two theories are deep down incompatible. (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。.

Modern logic is an active agent all across the university today, connecting disciplines, and transcending traditional boundaries. This book demonstrates this general role in the special setting of a conference at Tsinghua University, where modern logic was already taught in the 1930s by pioneers like Jin Yeulin. This boon contains an unusual dialogue between Chinese logicians and international colleagues representing a wide range of disciplines, including philosophy, mathematics, linguistics computer science, cognitive science, and the social sciences. The focus of this (...) encounter is not only to advance logic in its university-wide role but also to look for its application in modern society. (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)

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)

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)

This study aims to explore the relationship and mechanism between the preschool inclusive education teachers’ organizational support, teacher self-efficacy, and work engagement. This study adopted the organizational support scale, inclusive education efficacy scale, and work engagement scale, measured for 600 preschool inclusive education teachers, eventually obtained 568 effective questionnaires, established research model, and analyzed the data using the structural equation model. There are significantly more men than women, and the majority were public kindergarten. Organizational support significantly positively affects teachers’ self-efficacy (...) and work engagement in preschool inclusive education. Preschool teachers’ self-efficacy has a significant positive impact on work engagement. Preschool teachers’ self-efficacy plays a partial mediating role between organizational support and work engagement. Organizational support not only directly affects teachers’ self-efficacy and work engagement in preschool inclusive education but also indirectly affects their work engagement through preschool teachers’ self-efficacy, which provides theoretical and practical guidance for the research of inclusive education. (shrink)

Objective: To systematically analyze the effectiveness of technology-based interventions for reducing loneliness in older adults.Methods: We searched relevant electronic databases from inception to April 2021, which included Cochrane Library, PubMed, Web of Science, SpringerLink, EMBASE, CNKI, and Wanfang. The following criteria were used: study design—randomized controlled trial designs, people—older adults, intervention—technology-based interventions in which a core component involved the use of technology to reduce loneliness in older adults; and outcome—reduction of loneliness level in terms of rating scale scores. Two reviewers (...) independently identified eligible studies, extracted data, and assessed the risk of bias in the included studies. A third reviewer resolved any conflicts. The Cochrane Collaboration's bias assessment tool was used to evaluate the risk of bias for the included studies, and Review Manager 5.4 software was used for the meta-analysis. A random effects model was adopted to measure estimates of loneliness reduction, and standard mean differences with a 95% confidence interval were calculated for each intervention-control contrast, and the I2 statistic was applied to examine heterogeneity.Results: A total of 391 participants from six RCTs were included in the review. Of these, three studies were rated as low-quality, and the remaining three were rated as moderate-quality studies. The meta-analysis showed that the evidence regarding the effects on loneliness of technology-based interventions compared with control groups was uncertain, and suggested that technology-based interventions resulted in little to no difference in loneliness reduction compared to control groups. Two types of technology-based interventions were identified: smartphone-based video calls and computer-based training with Internet usage. The subgroup analysis found low-quality evidence to support the effectiveness of both intervention types.Conclusions: We found no current evidence to support that technology-based interventions were effective compared to different control conditions in reducing loneliness in older adults. This suggests that more research is needed to investigate the effects of technology-based interventions on loneliness in older adults. (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)

Drawing on the theory of cognitive-affective processing system and that of construal level, we propose a moderated mediation model illustrating the relationship among abusive supervision, shame, construal level, and work withdrawal. We tested this model with a two-source time-lagged survey of 387 employees from 129 work teams in central and East China. Results revealed that abusive supervision had a positive association with the emotion of shame and supported the mediating role of shame linking abusive supervision to work withdrawal. Besides, our (...) findings supported the buffering effect of construal level on the shame-work withdrawal relationship as well as the indirect relationship between abusive supervision and work withdrawal channeled through the emotion of shame. (shrink)

Firstly, the authors analyzed the properties of primary-onditionals and secondary-conditionals, establishthe minimum system $C2L_{m}$ of primary-conditionals and secondary-conditionals, and then prove some of the formal theorems of the system which have important intuitive meanings. Secondly, the authors constructed the neighborhood semantics, prove the soundness of $C2L_{m}$ , introduce a general concept of canonical model by the neighborhood semantics, and then prove the completeness of $C2L_{m}$ by the canonical model. Finally, according to the technical results of the minimum system $C2L_{m}$ , (...) the authors discuss some of the important problems concerning primary-conditionals and secondary- onditionals. (shrink)