Many scholars have investigated education management. Scholars in the education field have made significant achievements in contributing to multiple educational reform policies, while other scholars discuss teacher-related issues from the perspective of organizational behavior. The teaching innovation of high school teachers plays a critical role in students’ learning attitude and motivation, especially in the context of the COVID-19 pandemic. Teachers need to utilize more diversified teaching methods to enable students to carry out effective learning. In order to examine teachers’ teaching (...) innovation, this study explores teaching innovation intentions and performance from the perspective of individual and social factors in combination with goal-oriented behavior and social identity theory. This study conducts questionnaires with a sample of Chinese coastal high school teachers, and obtains a total of 475 responses. The research results show that innovation attitude, positive anticipated emotion, group norms and social identity positively affect teachers’ teaching innovation intention; furthermore, teachers’ teaching innovation intention also positively affects their teaching innovation performance. Based on the comprehensive research findings, this research proposes corresponding theoretical and practical implications. (shrink)

Following the recent call for advancement in knowledge about business ethics in East Asia, this study proposes a complementary perspective on business ethics in South Korea. We challenge the conventional view that South Korea is a strictly collectivist country, where group norms and low trust determine the norms and values of behavior. Using the concept of civil religion, we suggest that the center of the South Korean civil religion can be seen in the affective ties and networks pervading the economic, (...) political, and social institutions, embedded in and guided by Confucian ideals. We argue that South Korea should be seen not as a collectivist low-trust society, but rather as an affective-relational society, in which the relational context determines whether collectivism or individualism prevails. Further, we assert that trust, the cohesive factor of affective ties and networks, has until now been inadequately captured by conventional surveys. Our proposed perspective contributes to a more holistic picture and a more firmly grounded understanding of business ethics in South Korea. (shrink)

This article presents two studies that examine cause-related marketing promotions that require consumers’ active participation. Requiring a follow-up behavior has very valuable implications for maximizing marketing expenditures and customer relationship management. Theories related to ethical behavior, like motivated reasoning and defensive denial, are used to explain when and why consumers respond negatively to these effort demands. The first study finds that consumers rationalize not participating in CRM by devaluing the sponsored cause. The second study identifies a tactic marketers can utilize (...) to neutralize consumers’ use of defensive denial. Allowing the consumer to choose the sponsored cause seems to effectively refocus their attention and increases consumers’ threshold for campaign requirements. Implications for nonprofits and marketing managers include a tendency for consumers to be more likely to perceive a firm as ethical and socially responsible when they are allowed to choose the specific cause that is supported. (shrink)

We analyze the causal-observational languages that were introduced in Barbero and Sandu (2018), which allow discussing interventionist counterfactuals and functional dependencies in a unified framework. In particular, we systematically investigate the expressive power of these languages in causal team semantics, and we provide complete natural deduction calculi for each language. Furthermore, we introduce a generalized semantics which allows representing uncertainty about the causal laws, and we analyze the expressive power and proof theory of the causal-observational languages over this enriched semantics.

In this article, we explore the micro-foundations of elite politics by focusing on changes in network structures that emerge from informal conversations. Empirically, we offer a novel “situational conflict” explanation to account for the puzzle of why reformist leaders were periodically ousted during China’s reform era (1977–1992), emphasizing the unexpected power collision that catalyzed the violent crackdown on the Tiananmen movement in 1989. To do so, we employ network analysis and narrative to utilize an original dataset of elite conversations and (...) primary sources that have only recently been made available. We find that ideological cleavage and manipulative brokerage produced each conflict to varying degrees but were contingent on the relational structure arising from elite conversational interactions. Furthermore, the actual unfolding of those conflicts often resulted from key actors’ discrepant understandings of the changing relationships via ongoing interactions at vital moments, such as during the Tiananmen movement. Integrating micro-sociological theories and network analysis, our work has methodological and theoretical implications for unpacking the black box of elite politics and its role in macro-historical change. (shrink)

In this study, we tested the feasibility of conducting quantitative assessments of patients’ experiences with care in the intensive care unit (ICU), in regard to treatment with respect and dignity. Patients completed the Patient Dignity Inventory, Collaborate, and selected domains from the Hospital Consumer Assessment of Health Providers and Systems Survey. Family members were additionally surveyed using the Family Satisfaction in ICU Care questionnaire. Overall, patients reported high levels of satisfaction in terms of nurses and doctors treating them with courtesy (...) and respect; however, physical aspects of care were reported to be more problematic. While this pilot study suggests some target areas for improving treatment with respect and dignity, the findings are limited since many patients were unable to participate in the survey. Future work should be directed at developing new measures that are easier to administer in this setting. (shrink)

: Feng Qi is widely acknowledged in mainland China as one of the few consummate and most original thinkers to have emerged there since 1949. The essence of Feng's thought is to provide a solution to the time-honored problem of the confrontation between fact and value, between a positivistic/ scientific approach and a humanistic/metaphysical approach. Feng tries to solve this conflict by constructing what he calls "epistemology in a broader sense," at the core of which is his theory of the (...) "transformation of knowledge into wisdom.". (shrink)

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

This study presents an evolutionary game to model interactions among stakeholders with potential conflicts, including the operational enterprise of incineration plant, the local government, and the residents nearby. System dynamics is used to simulate the change of strategic actions corresponding to the three players, in order to seek for the evolutionary stability strategies. A numerical case is proposed to demonstrate the game theory application, in which the impacts of governmental incentive and punishment on the player’s actions are investigated. The results (...) indicated that administrative penalty is effective not only in motivating the enterprises to upgrade treatment facilities for ensuring environmental quality but also in helping the local government and residents to approach dominant strategies. Policy implications are given based on the results to lay out a foundation for the alleviation of the conflicts. (shrink)

As a part of user experience, user emotion has rarely been studied in mobile libraries. Specifically, with the proposed emotional model in combination with the Pleasure-Arousal-Dominance Emotion Model and the Five Factor Model, we evaluate user emotions on the mobile library’s three IS features. An experience procedure with three tasks has been designed to collect data. 50 participants were enrolled, and they were asked to fill in questionnaires right after the experience. The correlations among the PAD emotions were examined. Specifically, (...) users have a low perception of pleasure, high perception of arousal, and low perception of dominance. However, these three emotional states were not always significantly correlated with each other. This study extends mobile library research by focusing on users’ emotional experience. Specifically, the detailed PAD emotions have been examined. This study provides a new approach for application developers and managers to evaluate the user experience of an application. (shrink)

The deceptive clues in the impossible puzzle film confirm the viewer’s internal expectations and allow retrospective attributing. In the film, a transcendental object negates an internal expectation, causing a retrospective blockage. Retrospectivity does not stop there; the transcendental object reinterpreting deceptive clues in the associative area leads to repeated attribution. This article consists of three parts. First, it discusses impossible puzzle films in the context of complex narrative classification. The following section introduces the Jungian concept of synchronicity and illustrates how (...) it works. The article concludes with a case study of Long Day’s Journey into Night (2018), which contains more complicated puzzles and explains how mind-game narrative techniques create deceptive clues and induce deceptive retrospective attribution. (shrink)

Resumen: el arte es la encarnación de la cultura y el espíritu nacional. El canto y el baile son una de las formas más antiguas y ricas del arte humano. No es sólo el producto de la experiencia y la experiencia emocional, sino también la trascendencia de la vida cotidiana vulgar. Como la característica más distinde las películas modernas de la India, el arte de cantar y bailar herede las ideas estéticas tradicionales de la India y la filosofía religiosa en (...) el entorno audiovisual moderno se puede encontrar. Mantiene una impresión nacional distintiva en la marea de la internacionalización. Este tipo de arte es de gran importancia para la exploración de la nacionalidad del arte chino de canto y danza. (shrink)

Social attachment can explain well the bond between users and social media, but existing research lacks measures of social attachment scales. To this end, this study takes attachment theory as the basis for scale development. On the basis of the development of multidimensional scales for adult, brand, and local attachment, it combines existing relevant studies on social attachment, selects three representative social media such as TikTok, WeChat, and MicroBlog as theoretical samples, explores the concept and structure of social attachment, and (...) develops a social attachment scale through qualitative interviews and open-ended questionnaires. This study applied SPSS 24.0 and Mplus 7.0 to test the social attachment scale. The findings reveal that social attachment consists of three constructs: social connection, social dependence and social identity, and the scale possesses high reliability and validity. This study has developed and validated a social attachment scale in the context of social software use, realizing a quantitative study of social attachment and providing a basis for future empirical research related to social attachment. (shrink)

The COVID-19 pandemic has significantly affected the exhibition of artworks in museums and galleries. Many have displayed their collection online. In this context, experiencing an online exhibition is essential for visitors to appreciate and understand the artwork. Compared with offline exhibitions, visitors to online exhibitions are often unable to communicate their experiences with other visitors. Therefore, in this study, by facilitating communication via Zoom call, we established a system that allows two people to visit the museum together through the Google (...) Arts and Culture website. To reduce the psychological distance between online visitors and help increase user engagement, we designed and developed a media device based on moiré pattern visualization of electroencephalography signals. The participants were divided into two groups to visit the online museum, communicating remotely through Zoom. The objective of this study was to test whether a real-time EEG signal visualization device could help close the psychological distance between participants and whether it could increase user engagement with the online exhibition. Participants were randomly assigned to either the normal online exhibition experience group or EEG signal visualization device group. Participants in the NOEE group experienced four online exhibitions together. The conditions for participants in the ESVD group remained the same, apart from adding a media device to enable them to visualize EEG signals. A total of 40 university students participated in this study. Independent samples t-tests revealed that participants in the ESVD group perceived a significantly closer psychological distance between themselves and the participants on the opposite side than those in the NOEE group. A one-way ANOVA revealed that participants experienced Task3 with significantly closer psychological distance assessments than Task1, Task2, and Task4. Repeated ANOVAs revealed that participants in the ESVD group had higher overall user engagement than those in the NOEE group, with marginal significance. Thus, this study shows that EEG visualization media devices can reduce the psychological distance between two participants when experiencing an online exhibition. Moreover, it can increase user engagement to some extent. (shrink)

Here algebraic Routley-Meyer semantics is addressed for two fuzzy versions of the logic of relevant implication R. To this end, two versions R t and R T of R and their fuzzy extensions FRt and FRT , respectively, are first discussed together with their algebraic semantics. Next algebraic Routley-Meyer semantics for these two fuzzy extensions is introduced. Finally, it is verified that these logics are sound and complete over the semantics.

This study evaluated the biological dimension of meditation and self-transcendent states. A convenience sample of 513 participants was drawn from attendees at a 4-day guided meditation workshop. Half were randomly assigned to an active placebo control intervention. All were assessed on a variety of measures, both psychological [anxiety, pain, posttraumatic stress disorder, positive emotions, and transcendent states], and physiological. Additional biological assessments including salivary immunoglobulin-A, cortisol, and Quantitative Electroencephalography were obtained from subset of the Experimental group. No significant difference in (...) psychological symptoms or positive emotions was observed between Experimental and placebo groups at baseline. At post-test, significant improvements were noted in the Experimental group, including a 49.5% median increase in SIgA, though cortisol remained unchanged. qEEG z-score analysis identified sustained stress reduction, including delta frequency band amplitude increases, high beta decreases, and faster acquisition of sustained alpha states. Psychological symptoms also improved on all measures. At 6-month follow-up, PTSD and somatic symptoms significantly improved from baseline, and post-test versus 6-month follow-up results indicated significant increases in happiness and spiritual and physical oneness, along with decreases in depressive symptoms. These findings suggest that autonomic self-regulation and transcendent states may be measured in both biological and psychological dimensions and are associated with pervasive health benefits. (shrink)

This article endeavours to provide a cross-cultural juxtaposition between Kierkegaard and Zhuangzi, two thinkers of significant stature in the history of Eastern and Western philosophy, to unveil a profound congruity between Christian and Daoist thoughts. Specifically, by examining the works of Kierkegaard, particularly his concept of irony and ‘transparent self’, and exploring the similar key themes present in Zhuangzi’s writings, we endeavour to highlight the similarities between Kierkegaard and Zhuangzi. Both of the intellectuals enter the discussion on the process of (...) individual spiritual practice through ‘irony’ and set their goals on ‘salvation’, emphasising the importance of the process of spiritual practice, which provides possibilities for dialogues between Christian and Daoist thoughts. Contribution: Previous research frequently underscores the profound differences between Kierkegaard and Zhuangzi. Based on the discussion of certain concepts, this article argues that, analysing the consistency between the two at the level of spiritual practice can help us understand the possibility of dialogue between Christian and Daoist thoughts. (shrink)

As an alternative protein product to animal meat, plant-based meat is considered to play an essential role in improving animal welfare and protecting the environment. However, why do a few consumers choose plant-based meat but others do not? Despite the increasing research on plant-based meat marketing, little is known about the psychological mechanism by which plant-based meat marketing affects consumers’ purchasing decisions. We utilize dual-system theory to understand how social media marketing of plant-based meat influences cognitive fluency, customer inspiration, perceived (...) risk, and purchase intention. Four studies show that social media marketing can increase young people’s purchase intention of plant-based meat more than traditional marketing. In Studies 1 and 2, increased intensity of social media marketing can enhance young people’s cognitive fluency and further promote purchase intention. Study 3 explores how cognitive fluency relates to purchase intention through two psychological mechanisms. We suggest that a higher level of cognitive fluency increases customer inspiration and improves purchase intention. However, a lower level of cognitive fluency reduces purchase intention by increasing perceived risk. Study 4 manipulated members’ in-group or out-group status to show a boundary condition for the effect of brand community identity on purchase intention. These studies provide insight into how brand marketers can use social media to promote consumer inspiration and advertising engagement, how managers can offer fluency-increasing mechanisms to ensure a low level of perceived risk, and how enterprise practitioners may want to consider brand community publicity to attract out-group members. (shrink)

To achieve environmental sustainability, the role of human capital and financial inclusion has been debated in limited empirical studies. Employing a reliable ARDL model approach, this study examines the dynamic link between human capital and ICT, financial inclusion, and CO2 emissions using the China economy dataset over the period 1998–2020. The vivacious side of human capital shows that literacy rate and average year of schooling curb CO2 emissions in long run. The results of human capital are also based on facts (...) in magnitude as well as in direction. Also, empirics unfold that digital financial inclusion significantly increases CO2 emissions. Based on these novel findings, a wide set of economic policies are repaired for environmental quality. Environmental education should be considered at early levels of education. The authorities and policymakers should fix energy-related issues through education. The China government should stimulate the educational sector to conduct a clean and green revolution that acts as a mechanism for a green and clean economy. This study's finding is more effective than the previous unlike empirical studies for policy-making because of the advanced econometric method. (shrink)

With the development of network technology, enterprises face the explosive growth of data every day. Therefore, to fully mine the value of massive data, big data analysis technology has become the key to developing the core competitiveness of enterprises. However, few empirical studies have investigated the influencing mechanism of the BDA capability of an enterprise on its operational performance. To fill this gap, this study explores how BDA technology capability influences enterprise operation performance, based on dynamic capabilities theory and resource-based (...) theory. It proposes the key variables, including the connectivity, compatibility, and modularization of big data analysis technical capability, enterprise's operational performance, and the fit between data and tools, to establish a model and study the correlation between the variables. The results highlight the mediating role of data-tool fit in the relationships between BDA capability and the enterprise's operational performance, which is a major finding that has not been underlined in the extant literature. This study provides valuable insight for operational managers to help them in mobilizing BDA capability for enterprises' operational management and improving operational performance. (shrink)

As the negative environmental impacts of transportation systems become more severe, governments and environmental groups are seeking more sustainable transportation options, such as replacing fuel-powered vehicles with electric vehicles and expanding public transportation systems to reduce the number of people driving on their own, in order to reduce the environmental impacts of transportation systems. At present, the rapid expansion of public transportation systems is not an easy task and requires a long period of time to plan for expansion and construction, (...) so people are increasingly looking to find means of transportation that meet sustainable conditions as solutions. In this context, electric bicycles are one of the solutions that people can choose, with benefits such as energy saving, carbon reduction, effective air pollution reduction, and simple and labor-saving riding. However, in Taiwan, despite the many benefits of electric bicycles, their popularity is not high. Therefore, this study focuses on the factors that affect the purchase of electric bicycles in Taiwan. The Influential Network Relation Map generated by the Z-based Decision-making Trial and Evaluation Laboratory technique is used to describe the influence relationships among the factors and to establish the key evaluation criteria of electric bicycle purchase intention. The results indicate that vehicle price, safety, motor performance, battery life, and battery durability are the most important factors in purchasing electric bicycles. Furthermore, the power of motor is considered as the factor that most significantly affects other criteria, while safety and price are most likely to be affected by other criteria. This study has contributed to academia and industry, for the dependency weights of these factors are set to provide a scientific and systematic way to show how consumers think in the decision-making process and to provide more reliable information and management implications for the electric bicycle industry. (shrink)

The California Verbal Learning Test-Second Edition, is a commonly used tool to assess episodic memory. This study analyzed learning and memory characteristics in a cognitively healthy Chinese population, as well as the effects of age, sex and education on CVLT-II factors. In total, 246 healthy people aged 20–80 years and 29 persons with multiple sclerosis were included in this study and completed the CVLT-II. Factors including total learning, learning strategy, serial position effects, short-delay free and cued recall, long-delay free and (...) cued recall, repetitions and intrusions during recall, hits and false positives of recognition, and total recognition discriminability were calculated. The effects of age, sex and education on these factors were analyzed using ANCOVA or independent two-sample t-tests and further confirmed by multiple regression analysis. The regression-based normative data were then computed by the equivalent scores method. Moreover, differences in learning and memory were compared between persons with MS and age-, sex- and education-matched healthy individuals. Most CVLT-II factors significantly differed between different age and education groups; in particular, better performance in total learning, recall, semantic clustering and recognition was observed in the younger and more educated groups than in the older and less educated groups. Male participants showed higher recency effect scores, more repetitions and fewer hits than female participants. Compared with healthy individuals, persons with MS showed extensive impairments in memory processes, such as learning, recall, learning strategy and recognition. These findings indicated that verbal learning and memory were highly dependent on age and educational level but not strongly affected by sex. The CVLT-II effectively assesses episodic memory impairment in the Chinese-speaking population. (shrink)

PurposeAsian Americans comprise 21% of matriculating medical students in the United States but little is known about their mental health. With the growing focus on addressing the mental health of medical students, this systematic, nationwide survey assesses the relationship between anxiety and depression symptoms and coping skills among Asian American medical students.Materials and methodsA survey tool comprised of Patient Health Questionnaire-9, General Anxiety Disorder-7, and questions related to coping were emailed to members of the Asian Pacific American Medical Students Association (...) enrolled in a United States medical school during the 2016–2017 academic year. We evaluated associations between anxiety and coping as well as depression and coping.ResultsA total of 511 Asian American medical students completed the survey. Anxiety symptoms were positively correlated with an increase in negative coping skills. Depressive symptoms were not correlated with an increase in negative coping skills.ConclusionProfessionals and medical schools that aim to improve the mental health of medical students should be aware of the needs of specific populations. Asian American students who experience anxiety were more likely to utilize avoidant or negative coping strategies. In addition, Asian American students who experience depressive symptoms were not more likely to utilize these negative coping strategies. Further research must be done to evaluate the factors that influence the use of negative coping strategies to better address anxiety within the Asian American medical student population. (shrink)

Building a flexible supply chain can enable the firms to manage their supply chains to adapt effectively to dynamic market demand changes and thus guarantee their accelerated growth in the future. In this vein, this study aims to address several important issues in supply chain management by considering two characteristics of blockchain technology and exploring the specific conditions under which firms are likely to develop trust in supply chain management. Furthermore, we argue that such supply chain trust is vital to (...) the success of achieving and increasing supply chain flexibility. In addition, we propose that top management teams’ digital leadership within the firms plays a vital role in moderating the contribution of each dimension of blockchain technology to supply chain trust. Using data from a large sample of 338 firms in China, we perform structural equation modeling to examine our conceptual framework empirically. Our results highlight and support the idea that blockchain technology’s information transparency and security influence the trust-building in a supply chain and supply chain flexibility and articulate the particular importance of digital leadership in explaining the contribution of different blockchain technology characteristics to trust-building. Our study advances the theoretical, empirical, and managerial analysis of critical factors to build trust and achieve flexibility in supply chains. (shrink)

This paper studies the problems of tip position regulation and vibration suppression of flexible manipulators without using the model. Because of the two-timescale characteristics of flexible manipulators, applying the existing model-free control methods may lead to ill-conditioned numerical problems. In this paper, the dynamics of a flexible manipulator is decomposed into two subsystems which are linear and controllable at different timescales by singular perturbation theory and a model-free composite controller is designed to alleviate the ill-conditioned numerical problems. To do this, (...) a model-free composite control strategy is constructed which facilitates in designing the controller in slow and fast timescales. In the slow timescale, the slow subsystem controller is designed by adaptive dynamic programming based on the measurements of the slow inputs and the position, while the vibration in the slow timescale is estimated by the least square method. In the fast timescale, the vibration is reconstructed based on the measurements of vibration and its estimate in the slow timescale, by which the fast controller is designed using ADP. Stability of the closed-loop system is proved by SP theory. Finally, simulations are given to show the feasibility and effectiveness of the proposed methods. (shrink)

PurposeBased on social exchange theory, this study aimed to investigate, from the cost-benefits perspective, the intention to co-create open educational resources.Design/Methodology/ApproachParticipants in the study included 311 undergraduate students selected from those enrolled in a course on the China University MOOC platform. Regression analysis was conducted to examine cost and benefits factors that influenced participants’ intentions to co-create OER.Findings From the perspective of benefits, expected reciprocity, increase in knowledge self-efficacy, and creative self-efficacy were found to significantly and positively impact the intention (...) to co-create OER, while increase in internet self-efficacy was not. From the perspective of cost, perceived effort and perceived privacy were found to significantly and negatively impact the intention to co-create OER, while perceived intellectual property risks were not significant.Originality/ValueThree strategies are recommended to promote the intention to co-create OER based on the findings of this study: focusing on OER communities and developing reciprocity norms; popularizing and promoting knowledge and use of Creative Commons copyright licenses; providing easy-to-use online resource editing tools for use with OER repositories.Research Limitations/ImplicationsFuture research should explore other ages, cultural backgrounds, and types of online learning experience to help broaden the universality of the results. (shrink)

Objective: Pulmonary complications could badly affect the recovery of neurological function and neurological prognosis of neurological critically ill patients. This study evaluated the effect of high-flow nasal cannula therapy on decreasing pulmonary complications in neurologically critically ill patients.Patients and Methods: The patients admitted to the intensive care unit with serious neurological disease and receiving oxygen therapy were retrospectively reviewed. Patients were divided into the HFNC group and the conventional oxygen therapy group. We analyzed the data within these two groups, including (...) patients’ baseline data, short-term outcomes of respiratory complications, general outcomes including hospital stay, ICU stay and mortality, and neurological functions. To analyze the relevant factors, we performed multivariable logistic regression analysis.Results: A total of 283 patients met the criteria, including 164 cases in the HFNC group and 119 cases in the COT group. The HFNC group had remarkably less mechanical ventilation requirement with lower phlegm viscosity. Even more, ICU stay and total hospital stay were significantly shortened in the HNFC group.Conclusion: HFNC decreased pulmonary complications in neurologically critically ill patients and improved recovery of neurological function and neurological prognosis. (shrink)

Despite extinction-based processes demonstrating efficacy in the animal extinction and human anxiety literatures, extinction for substance use disorders has shown poor efficacy. Reasons for this lack of success include common threats to extinction, such as renewal and reinstatement. In recent decades, research on mindfulness for SUD has flourished, and a key aspect of these mindfulness-based interventions includes teaching individuals to stay present with whatever experience they have, even if unpleasant, without trying to change/escape/avoid it. Similarly, CET teaches individuals to not (...) escape/avoid conditioned responses by engaging in drug use behavior. This paper discusses how mindfulness-based research and practices could positively influence CET through future research, with the long-term goal of improving SUD treatment. (shrink)

We examine the influence of human resource (HR) slack, specifically that accrued through employee overtime, on firm innovation in China. Leveraging textual analysis to gauge overtime levels, our findings reveal that although overtime increases innovation output, it does not enhance its quality. These results remain consistent even in firms with research and development personnel slack or those offering higher salaries. Additionally, no significant differences are observed between state-owned and non-state-owned firms in terms of overtime’s impact on innovation. Furthermore, the effect (...) of employee overtime on innovation output is less pronounced in the manufacturing and labor-intensive industries. Our study suggests that governmental leniency towards corporate infringement of employee rights does not sufficiently boost firm competitiveness. This research contributes to the understanding of the economic implications of widespread employee overtime in emerging economies, offering valuable business ethics and policy insights for managers and regulators addressing the fundamental working hour practices. (shrink)

In the film “Kaili Blues” by Bi Gan, intricate clues create complex connections between the plots steered by various characters. This relationship manifests in splitting time and alternating between dream and reality. This article analyzes Bi Gan’s approach to temporality and dreams by focusing on how he employs various film metaphors to deal with poetic narratives in his films. The article consists of three sections: First, it introduces the (puzzle) storytelling form of “Kaili Blues” as a promising area in many (...) Chinese films. Second, it examines how puzzle films contribute to the ambiguity (plots) between characters from the perspective of infinite games. Moreover, third, the article discusses the two levels of metaphors in “Kaili Blues” that result from the condensation and displacement of metaphors, including the mutual projection of roles caused by the time-forking effect and the audience’s associations caused by the significance of dreams in Chinese tradition (or local) culture. (shrink)

Person reidentification aims to recognize a specific pedestrian from uncrossed surveillance camera views. Most re-id methods perform the retrieval task by comparing the similarity of pedestrian features extracted from deep learning models. Therefore, learning a discriminative feature is critical for person reidentification. Many works supervise the model learning with one or more loss functions to obtain the discriminability of features. Softmax loss is one of the widely used loss functions in re-id. However, traditional softmax loss inherently focuses on the feature (...) separability and fails to consider the compactness of within-class features. To further improve the accuracy of re-id, many efforts are conducted to shrink within-class discrepancy as well as between-class similarity. In this paper, we propose a circle-based ratio loss for person re-identification. Concretely, we normalize the learned features and classification weights to map these vectors in the hypersphere. Then we take the ratio of the maximal intraclass distance and the minimal interclass distance as an objective loss, so the between-class separability and within-class compactness can be optimized simultaneously during the training stage. Finally, with the joint training of an improved softmax loss and the ratio loss, the deep model could mine discriminative pedestrian information and learn robust features for the re-id task. Comprehensive experiments on three re-id benchmark datasets are carried out to illustrate the effectiveness of the proposed method. Specially, 83.12% mAP on Market-1501, 71.66% mAP on DukeMTMC-reID, and 66.26%/63.24% mAP on CUHK03 labeled/detected are achieved, respectively. (shrink)

This article starts with the environmental changes in human cognition, analyzes the virtual as the main feature of visual perception under digital technology, and explores the transition from passive to active human cognitive activities. With the diversified understanding of visual information, human contradiction of memory also began to become prominent. Aiming at the problem that the existing multimodal TV media recognition methods have low recognition rate of unknown application layer protocols, an adaptive clustering method for identifying unknown application layer protocols (...) is proposed. This method clusters application layer protocols based on similarity of the load characteristics of network stream application layer protocol data. The method divides the similarity calculation in the clustering algorithm to improve the clustering efficiency of the algorithm. Experimental results show that the proposed method can efficiently and accurately recognize unknown visual communication. This article proposes that, in the interactive multimodal visual information transmission, human visual perception experience has changed, the diversity of visual information content expression makes the aesthetic subject more personalized and stylized. (shrink)

Memory modification technology (MMT) refers to the use of neurotechnologies to intervene in memories. Many scholars have reflected on the ethical issues in MMT, but a comprehensive review of this topic has not been seen. This article presents the first scoping review study of ethical issues in MMT using a bibliometric and systematic approach. After thorough examination, 133 records of key literature are included in this scoping review. Six core ethical themes are extracted: (1) self, identity, and authenticity; (2) autonomy (...) and informed consent; (3) welfare and happiness; (4) safety and risks; (5) responsibility and obligation; (6) social and legal justice. More detailed analyses are conducted on the moral stances and reasons held by different scholars concerning these ethical themes. As can be seen, current debates exhibit certain shortcomings, including ambiguous ethical concepts and a restricted scope of analysis. Therefore, we call for deeper reflections on the philosophical foundations, more precise definitions of ethical terms, and more comprehensive examinations of neurotechnological applications, in order to better address the ethical challenges in the future. (shrink)

In epistemic logic, the beliefs of an agent are modeled in a way very similar to knowledge, except that they are fallible. Thus, the pattern of an agent’s true beliefs is an interesting subject to study. In this paper, we conduct a systematic study on a novel modal logic with the bundled operator ⊡ϕ:=□ϕ∧ϕ as the only primitive modality, where ⊡ captures the notion of true belief. With the help of a novel notion of ⊡-bisimulation, we characterize the expressivity of (...) this new language on relational models, and offer various completeness results. We also discuss some interesting connections between our work and previous works on reflexive-insensitive logics and the so-called boxdot conjecture. Finally, we study two generalizations of the ⊡-operator: one is the iterated true belief operator □nϕ:=ϕ∧□ϕ∧⋯∧□nϕ, the other is the neighborhood semantics for the ⊡-operator. (shrink)