The three learning modalities in nursing education are classroom meetings, skill laboratory practices, and clinical practice in hospital or community settings. In clinical internships, the collaborative self-directed learning method is highly encouraged among nursing students. The use of information and communication technologies (ICT) in clinical learning supports the implementation of evidence-based nursing and student-centered learning. The current study examines whether the relationship between social influence and ICT using intention is moderated by the daily duration of use and the number of (...) classmates being friends on social media. The Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of 702 Moroccan nursing students. We found that social influence was positively associated with nursing students’ intention to use ICT for clinical learning during the internship. This positive association was positively moderated by the daily duration of social media usage and negatively moderated by the number of classmates being friends on social media. These findings underscore the potential of using social media platforms to facilitate the incorporation of ICT and social media in nursing education and training. However, the adverse effects of social media on students’ mental well-being also need to be acknowledged and managed appropriately. (shrink)

Given the close relatedness of local issues, water scarcity, and sustainability, this research sought to investigate the factors affecting residents’ willingness to reuse direct and indirect potable water in the arid region. Utilizing the Bayesian Mindsponge Framework (BMF), an analysis was undertaken with a sample of 1,831 water consumers in the City of Albuquerque, the most populous city in New Mexico, United States. The primary analysis revealed positive associations between local concerns about drought or water scarcity and population growth with (...) residents' willingness to reuse direct and indirect potable water. Conversely, concerns about water quality and water bills were found to be negatively associated with the willingness to utilize directly and indirectly recycled water for drinking. In light of these findings, the study explores the potential of fostering an eco-surplus culture by cultivating a sense of environmental responsibility and acknowledging the relationship between local issues and environmental conditions. Simultaneously, the study proposes collaboration between the government and residents to promote water reuse programs to conserve water resources effectively. (shrink)

Climate change and environmental degradation are threatening the existence of humanity. The youth have the potential and capability to play a pivotal role in tackling these challenges. Therefore, the current study aims to examine how school and family environmental education can enhance environmental knowledge, willingness to take action, and pro-environmental behaviors among children and young people. The Bayesian Mindsponge Framework (BMF) analytics was utilized on a nationally representative dataset of 2069 Vietnamese primary, secondary, and high school students. The analysis results (...) suggest that school and family environmental education is beneficial for improving students’ environmental knowledge and willingness to take environmental actions. Notably, the effect of school education is more substantial for cultivating environmental knowledge, whereas family education has a stronger impact on raising students’ willingness than school education. Students with higher levels of environmental knowledge are more likely to conduct pro-environmental behaviors only when they are willing to take environmental actions. If students are unwilling to act, higher environmental knowledge is negatively associated with the likelihood of pro-environmental behavior. Following these findings, we call for coordinated education efforts of schools and families to cultivate students’ eco-surplus culture. The education efforts should be implemented along with exposing students to environmental settings and encouraging them to read environmental books. (shrink)

As climate change continues to pose global challenges, understanding how individuals perceive and respond to its effects is crucial for informed policymaking and community engagement. Conducting the Bayesian Mindsponge Framework (BMF) analysis on a dataset of 1,831 water users in Albuquerque, New Mexico, the study explores the intricate dynamics between climate change belief, awareness of water scarcity, and water conservation behaviors. Results reveal a complex relationship wherein residents with increased awareness of water scarcity demonstrate intensified water conservation behaviors, particularly when (...) believing in climate change’s negative impacts on water supply. The moderating role of water scarcity awareness introduces complexity, suggesting that the correlation between residents' belief in climate change and their engagement in water conservation behaviors depends on their awareness of local water challenges. This study highlights the importance of appropriate interventions that consider both psychological and contextual dimensions in promoting sustainable water management practices. Policy recommendations emphasize integrated awareness campaigns, developing an eco-surplus mindset, and incorporating sustainability principles aligned with the Sustainable Development Goals. (shrink)

Firms worldwide are increasingly required to disclose their carbon emissions due to the environmental damage associated with climate change. Because there has been no previous literature focusing on the determinants of corporate carbon disclosure integrating environmental legitimacy and green innovation, the present study attempted to develop an original framework to fill the research gap. This study explored the influence of environmental legitimacy on corporate carbon disclosure, and investigated the role of green innovation as a mediator. With the samples of Carbon (...) Disclosure Project in China from 2008 to 2012, the results demonstrate that environmental legitimacy significantly negatively influences the likelihood of corporate carbon disclosure, and that green process innovation mediates the relationship, while green product innovation has no significant mediating effect. It means that environmental legitimacy not only directly affects the likelihood of corporate carbon disclosure, but also indirectly affects it via green process innovation. Hence, companies must increase both informal and formal mechanisms, i.e., external environmental legitimacy and internal green process innovation, to engage in carbon information disclosure and ensure sustainability. (shrink)

In the United States, public opinions about climate change have become polarized, with a stark difference in the belief in climate change. Climate change denialism is pervasive among Republicans, especially conservatives, contrasting the high recognition of human-induced climate change issues among Democrats. As the water crisis is closely linked to climate change, the current study aims to examine how the belief in climate change’s impacts on future water supply uncertainty affects water conservation behaviors and whether the effect is conditional on (...) being a Republican. The Bayesian Mindsponge Framework (BMF) analytics was performed on a dataset of 1831 water users in an arid region (Albuquerque, New Mexico). The analysis shows that water users’ belief in climate change’s impacts on future water supply uncertainty positively affects the number of water conservation behaviors they adopt, regardless of whether they are Republicans. Although being a Republican does not significantly negatively moderate the association between climate change belief and water conservation behaviors, the result still underscores the importance of fighting climate change denialism. Otherwise, it will not only hinder the climate change alleviation efforts but also exacerbate the water crisis. Several strategies to reduce climate change denialism are also recommended. (shrink)

Clinical practice is a part of the integral learning method in nursing education. The use of information and communication technologies (ICT) in clinical learning is highly encouraged among nursing students to support evidence-based nursing and student-centered learning. Through the information-processing lens of the mindsponge theory, this study views performance expectancy (or perceived usefulness) and effort expectancy (or perceived ease of use) as results of subjective benefit and cost judgments determining the students’ ICT using intention for supporting clinical learning, respectively. Therefore, (...) the study examines whether effort expectancy moderates the relationship between performance expectancy and the intention to use ICT among Moroccan nursing students. The Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of 702 Moroccan nursing students. We found that nursing students’ performance expectancy is positively associated with the intention to adopt ICT and social media, while effort expectancy positively moderates this relationship. Moreover, the model with effort expectancy as the moderator was discovered to have a significantly larger weight than the model with effort expectancy as the direct predictor, validating our information-processing reasoning. This study provides a new perspective on the interplay between the benefit and cost perceptions of ICT use to support clinical learning methods in nursing education. Moreover, given the limited education resources, especially in developing countries like Morocco, we recommend nursing education and training prioritize communicating the benefits of ICTs and social media over ease of use. Doing so would help improve the effectiveness and efficiency of nursing education and training while lowering costs. (shrink)

With growing global concerns about water scarcity and environmental sustainability, understanding the factors influencing individual water conservation behaviors is crucial. This study utilizes the Bayesian Mindsponge Framework (BMF) analytics to investigate the relationship between concerns of local issues and water conservation behaviors in a sample of 1831 residents in Albuquerque, New Mexico, USA. New Mexico is an arid region of which 90% faced severe drought driven by the most significant wildfire in state history and some of the driest months ever (...) recorded in 2022. The results show a positive association between the drought or water scarcity concern and the number of water conservation behaviors adopted. Likewise, the positive association between the concern about population growth and development and water conservation behaviors is also observed. However, further examination is needed due to the weak reliability of this relationship. In contrast, negative associations between concerns about water quality and water bills with water conservation behaviors are also identified. Based on these findings, the study discusses the potential of building the eco-surplus culture by improving information dissemination of water-saving methods and existing water-related issues in the local areas. (shrink)

Many countries have regulations that require firms to engage in minimum levels of corporate social activities in areas such as the environment and social welfare. In this paper, we argue that changes in a firm’s compliance with CS regulations are reflected in its reputation for corporate social responsibility, which affects the firm’s performance. The performance impacts depend on whether the firm’s CSR reputation in the current and prior periods is positive, neutral, or negative. Our theoretical framework draws on the reputation (...) literature and on the concepts of recency bias, which weights the present more heavily than the past, and negativity bias, which weights negative assessments more heavily than neutral or positive assessments. We test our hypotheses on a sample of 7317 banks over 1992–2007 where we compare a bank’s return on assets with its current and prior compliance ratings under the U.S. Community Reinvestment Act. We find that changes in CSR reputation have predictable, asymmetric, and sizeable impacts on firm performance. For example, for an average bank with $1 billion in assets, gaining a positive CSR reputation translates into a rise in profits of 4.04%; gaining a negative CSR reputation results in a drop in profits of − 7.8%. (shrink)

As scientists start to adopt machine learning (ML) as one research tool, the security of ML and the knowledge generated become a concern. In this paper, I explain how supervised ML can be improved with better data ontology, or the way we make categories and turn information into data. More specifically, we should design data ontology in such a way that is consistent with the knowledge that we have about the target phenomenon so that such ontology can help us make (...) the inductive leap. I do so by thinking through a thought experiment, Goodman’s New Riddle of Induction (Fact, fiction, and forecast, Harvard University Press, 1955). Goodman’s riddle helps flesh out three problems of induction: (1) the problem of equal goodies, that there are often too many equally good inductive results given the same data; (2) the problem of diverging performance, that these equally good results can give opposite predictions in the future; and (3) the problem of mediocrity, that when averaged across all equally possible datasets and tasks, no inductive algorithm outperforms any other. I show that all these three problems are manifested as real obstacles in ML practice, namely, the Rashomon effect (Breiman in Stat Sci 16(3):199–231, 2001), the problem of underspecification (D’Amour et al. in J Mach Learn Res, 2020, https://doi.org/10.48550/arXiv.2011.03395 ), and the No Free Lunch theorem (Wolpert in Neural Comput 8(7):1341–90, 1996, https://doi.org/10.1162/neco.1996.8.7.1341 ). Lastly, I argue that proper data ontology can help mitigate these problems and I demonstrate how using concrete examples from climate science. This research highlights the links between philosophers’ discussions of induction and implications in ML practice. (shrink)

This study focuses on CEO hubris and its effect on corporate unethical behaviour—pollution in particular, and in addition examines critical institutional contingencies [state ownership, political connection and industrial competition] which may moderate this effect. With data from over-polluting listed firms based on the real-time pollution monitoring system in transitional China from 2015 to 2017, we find that CEO hubris is significantly positively related to firm pollution, and that the moderating role of SO is not significant, that PC positively moderates the (...) hubris–pollution relationship and that industrial competition negatively moderates this relationship. These findings contribute to research on the upper echelon theory, institutional theory and the growing literature on emerging economies. (shrink)

We examine whether investors value the disclosure of first-time standalone corporate social responsibility reports, and whether market valuations differ between government-controlled and privately controlled firms. Using a matched sample of Chinese publicly listed firms, we find that CSR initiators have higher market valuations than matched CSR non-initiators, and CSR initiators controlled by the central and local governments have lower market valuations than CSR non-initiators and CSR initiators controlled by private shareholders. Additional analyses demonstrate that CSR initiators with high CSR reporting (...) quality and perceived credibility have higher market valuations than CSR initiators with low CSR reporting quality and medium or low perceived credibility of CSR reporting. We do not find convincing evidence that CSR mandate, litigation risk, and prior stock returns affect market reactions to CSR reporting. Overall, we find that the market values standalone CSR reports, and that CSR reporting quality and perceived credibility are important factors in market valuation. (shrink)

We discuss a simple logic to describe one of our favourite games from childhood, hide and seek, and show how a simple addition of an equality constant to describe the winning condition of the seeker makes our logic undecidable. There are certain decidable fragments of first-order logic which behave in a similar fashion and we add a new modal variant to that class of logics. We also discuss the relative expressive power of the proposed logic in comparison to the standard (...) modal counterparts. (shrink)

Coal mine safety management involves many interested parties and there are complex relationships between them. According to game theory, a multiparty evolutionary game model is established to analyze the selection of strategies. Then, a simplified three-party model is taken as an example to carry out detailed analysis and solution. Based on stability theory of dynamics system and phase diagram analysis, this article studies replicator dynamics of the evolutionary model to make an optimization analysis of the behaviors of those interested parties (...) and the adjustment mechanism of safety management policies and decisions. The results show how the charge of supervision of government department and inspection of coal mine enterprise impact the efficiency of safety management and the effect of constraint measures and incentive and other measures in safety management. (shrink)

“[…] only by uniting the power of the entire village could they chase Snake away.” —In “The Virtue of Sacrifice”; The Kingfisher Story Collection [1].

Selective accessibility mechanisms indicate that anchoring effects are results of selective retrieval of working memory. Neuroimaging studies have revealed that the right dorsolateral prefrontal cortex (DLPFC) is closely related to memory retrieval and performance. However, no research has investigated the effect of changing the cortical excitability in right DLPFC on anchoring effects. Transcranial direct current stimulation (tDCS) can modulate the excitability of the human cerebral cortex, while anodal and cathodal tDCS are postulated to increase or decrease cortical activity, respectively. In (...) this study, we used tDCS to investigate whether effects of increased or decreased right DLPFC excitability influence anchoring effects in willingness to pay (WTP) experiments. Ninety participants were first randomly assigned to receive either anodal, cathodal, or sham stimulation of 15 minutes, then they performed a valuation task regarding WTP. The results showed that anchoring effects were negatively related to activities of right DLPFC: the anodal stimulation diminished anchoring effects while the cathodal stimulation increased anchoring effects. These outcomes provide one of the first instances of neural evidence for the role of the right DLPFC in anchoring effects and support psychological explanations of the selective accessibility mechanisms and cognitive sets. (shrink)

An adaptive neural network control problem is addressed for a class of nonlinear hydraulic servo-systems with time-varying state constraints. In view of the low precision problem of the traditional hydraulic servo-system which is caused by the tracking errors surpassing appropriate bound, the previous works have shown that the constraint for the system is a good way to solve the low precision problem. Meanwhile, compared with constant constraints, the time-varying state constraints are more general in the actual systems. Therefore, when the (...) states of the system are forced to obey bounded time-varying constraint conditions, the high precision tracking performance of the system can be easily realized. In order to achieve this goal, the time-varying barrier Lyapunov function is used to prevent the states from violating time-varying constraints. By the backstepping design, the adaptive controller will be obtained. A radial basis function neural network is used to estimate the uncertainties. Based on analyzing the stability of the hydraulic servo-system, we show that the error signals are bounded in the compacts sets; the time-varying state constrains are never violated and all singles of the hydraulic servo-system are bounded. The simulation and experimental results show that the tracking accuracy of system is improved and the controller has fast tracking ability and strong robustness. (shrink)

As one of the foundations of existential positive psychology, self-transcendence can bring positive intrapersonal and interpersonal outcomes, especially in the COVID-19 era in which people are suffering huge mental stress. Based on Schwartz's theory of human basic values, the current study combines variable-centered and person-centered approaches to examine the relationships between adolescents' values and mental health across two regions in China. The results generally showed that both self-enhancement and conservation values were positively correlated with depression and loneliness, while both self-transcendence (...) and openness to change values negatively correlated with depression and loneliness. The results also showed that there were four value clusters, and, compared to adolescents in the self-focus and undifferentiated values cluster, all adolescents in the anxiety-free values cluster reported lower depression and loneliness, while all adolescents in the other-focus values cluster reported higher depression and loneliness. The differences between the two regional groups only emerged in depression. Specifically, adolescents in Shanghai have higher levels of depression than adolescents in Qingdao. This study provides some evidence for the new science of self-transcendence among adolescents and also sheds light on how we may improve the level of mental health during the COVID-19 era. (shrink)

This study evaluated the online privacy policies of business-to-consumer e-commerce firms in five industries of mainland China, Taiwan, and Hong Kong. Based on the neo-institutional theory, we also tested whether the four institutional factors, top management’s legal education, managerial ethics, rule of law in information privacy protection and peer practices, had any effects on e-information and e-communication content. Results from a content analysis of 229 websites found that the privacy policy contents that complied with generally accepted privacy standards were lesser (...) in mainland China firms than those of Taiwan and Hong Kong firms. There were also significant differences in the amount of contents among the five industries. The results of regression analyses showed the importance of all four factors on e-information content. They also showed the importance of coercive, mimetic, and normative isomorphisms on e-information content. The validation of normative isomorphism highlighted the importance of managerial ethics and legal education. Our findings supplemented extant literature which identified economic motive as the main factor in influencing privacy practice disclosures. (shrink)

Previous studies have noted that personality traits are important predictors of well-being, but how big five personality influences social well-being is still unknown. This study aims to examine the link between big five personality and five dimensions of social well-being in the Chinese cultural context and whether social support can play the mediating effect in the process. This study included 1,658 participants from different communities in China, and regression analyses were conducted. Results revealed that five personality traits were significantly related (...) to overall social well-being; extraversion was significantly related to social integration; agreeableness was positively related to all five dimensions of social well-being; conscientiousness was positively related to social actualization, social coherence, and social contribution; neuroticism was negatively related to social integration, social acceptance, social actualization, and social coherence; openness was positively related to social integration, social acceptance, social coherence, and social contribution. Social support plays mediating roles in the relationships between extraversion/agreeableness/conscientiousness/neuroticism/openness and social well-being, respectively. (shrink)

Who can feel both happy and sad at the same time, but not discomfort? This study aimed to investigate the cultural differences in mixed emotional experiences induced by conflict stimuli among American and Chinese undergraduate students. In total, 160 Americans and 158 Chinese watched two different valence advertisements (one predominantly positive and the other predominantly negative) that elicited mixed emotions; their feelings were assessed through self-reported measures. Findings indicated the impact that cultural differences have in people’s mixed emotional experiences depends (...) on the emotional components of the mixed emotional situations. The Americans and Chinese both experience a comparably intense mixture of emotions in different valence situations, but their discomfort toward conflicting stimuli is different. Further, dialectical thinking may be a mechanism behind the influence of cultural differences in people’s mixed emotional experiences. Implications for emotion theory and research are discussed. (shrink)

The micro-level corporate social responsibility (CSR) literature has underscored the economic benefits of an organization's CSR investments, such as bolstering employees' organizational commitment and improving work performance. Yet, research on the potential influence of CSR in fostering socially oriented outcomes among employees has been rather scarce. This study aims to investigate the influence of CSR on employees' internal whistleblowing behaviors and the underlying mechanisms. A three-time-point survey was distributed across the service, manufacturing, construction, and financial insurance industries in Chinese enterprises. (...) The findings reveal that both internal and external CSR positively impact employees' internal whistleblowing behaviors through the mediating role of moral courage, with internal CSR demonstrating a stronger effect. Organizational loyalty positively moderates the mediating role of moral courage in the relationship between internal CSR/external CSR and internal whistleblowing behaviors. Theoretically, this study presents a pioneering endeavor in establishing the link between CSR and employees' internal whistleblowing behaviors, underscoring the significant role that employees' perceptions of CSR play in enhancing societal well-being and ethical governance. Besides contributing to the micro-level CSR literature, this study also provides practical insights for organizations seeking to leverage CSR as a tool for promoting employees' ethical conduct. (shrink)

This study aims to provide an overview of RECs (research ethics committees) in Chinese universities, encompassing both medical and non-medical studies. The primary objective is to identify major challenges faced by RECs in Chinese universities and draw meaningful implications from the findings. The investigation focuses on 42 comprehensive Chinese universities, and the results reveal that while all universities have implemented RECs in various forms, only 28.6% explicitly stipulate ethical review requirements for non-medical disciplines. Furthermore, RECs in Chinese universities encounter various (...) challenges, including insufficient attention to research ethics review, inadequate ethics review systems and regulations, a lack of education and training, and lacking ethics review for non-medical research. This paper proposes recommendations for establishing robust RECs in Chinese universities, seeking to enhance ethical governance in research. By addressing the challenges identified, these recommendations aim to strengthen ethical oversight, foster a culture of responsible research, and uphold the highest ethical standards across diverse academic disciplines. (shrink)

This paper proposes an adaptive neural network control approach for a direct-current system with full state constraints. To guarantee that state constraints always remain in the asymmetric time-varying constraint regions, the asymmetric time-varying Barrier Lyapunov Function is employed to structure an adaptive NN controller. As we all know that the constant constraint is only a special case of the time-varying constraint, hence, the proposed control method is more general for dealing with constraint problem as compared with the existing works on (...) DC systems. As far as we know, this system is the first studied situations with time-varying constraints. Using Lyapunov analysis, all signals in the closed-loop system are proved to be bounded and the constraints are not violated. In this paper, the effectiveness of the control method is demonstrated by simulation results. (shrink)

In coal mining industry, the running state of mine ventilators plays an extremely significant role for the safe and reliable operation of various industrial productions. To guarantee the better reliability, safety, and economy of mine ventilators, in view of early detection and effective fault diagnosis of mechanical faults which could prevent unscheduled downtime and minimize maintenance fees, it is imperative to construct some viable mathematical models for mine ventilator fault diagnosis. In this article, we plan to establish a data-based mine (...) ventilator fault diagnosis method to handle situations where engineers are absent or they are incapable of coming to a conclusion from multisource data. In the process of building the mine ventilator fault diagnosis model, considering that probabilistic rough sets could reduce the errors triggered by incompleteness, inconsistency, and inaccuracy without needing any additional assumptions and Pythagorean fuzzy multigranulation rough sets over the two universes’ model could effectively handle data representation, fusion, and analysis issues, we generalize the existing PF MGRSs over the two universes’ model to the PRS setting, as well as to further establish a novel model named Pythagorean fuzzy multigranulation probabilistic rough sets over two universes. In the granular computing paradigm, three types of PF MG-PRSs over two universes based on the risk attitude of engineers are proposed at first. Afterwards, several basic propositions of the newly proposed model are explored. Moreover, a PF multigranulation probabilistic model for mine ventilator fault diagnosis based on PF MG-PRSs over two universes is investigated. At last, a real-world case study of dealing with a mine ventilator fault diagnosis problem is given to illustrate the practicality of the presented model, and a validity test, a sensitivity analysis, and a comparison analysis are further explored to demonstrate the effectiveness of the presented model. (shrink)

The current study mainly explored the influence of fluid intelligence and emotional intelligence on affective decision-making from a developmental perspective, specifically, during the transition from childhood into early adolescence. Meanwhile, their age-related differences in affective decision-making were explored. A total of 198 participants aged 8–12 completed the Iowa Gambling Task, the Cattell’s Culture Fair Intelligence Test and the Trait Emotional Intelligence Questionnaire-Child Form. Based on the net scores of IGT, the development of affective decision-making ability did not increase monotonically with (...) age, and there was a developmental trend of an impaired IGT performance in early adolescence, especially in the early learning phase of the IGT. More importantly, IQ and EI played different roles for children and early adolescents: IQ and EI jointly predicted the IGT performance for 8–10 years old children, whereas only EI contributed to the IGT performance of 11–12 years old early adolescents. The present study extends the evidence how cognitive processing and emotional processing interact in affective decision-making from the developmental perspective. Furthermore, it provides insights of future research and intervention with early adolescents’ poor affective decision-making. (shrink)

We discuss a simple logic to describe one of our favourite games from childhood, hide and seek, and show how a simple addition of an equality constant to describe the winning condition of the seeker makes our logic undecidable. There are certain decidable fragments of first-order logic which behave in a similar fashion with respect to such a language extension, and we add a new modal variant to that class. We discuss the relative expressive power of the proposed logic in (...) comparison to the standard modal counterparts. We prove that the model checking problem for the resulting logic is \(\textsf{P}\) -complete. In addition, by exploring the connection with related product logics, we gain more insight towards having a better understanding of the subtleties of the proposed framework. (shrink)

Taking university-enterprise collaborative innovation in five southern coastal provinces of China as subjects, empirical research is implemented by constructing a theoretical model of the effects of interface resource integration, interface conflict management, interface connection mechanisms, and enterprise absorptive capacity on the university-enterprise collaborative innovation performance with the partial least squares structural equation modeling and fuzzy-set qualitative comparative analysis. A total of 245 valid questionnaires were collected from five coastal provinces in south China. The research results show that the interface resource (...) integration, interface connection mechanisms, and enterprise absorptive capacity has direct significant positive impacts on the collaborative innovation performance. Interface conflict management has no significant impact on school-enterprise collaborative innovation performance. Moreover, the interface connection mechanism acts as an intermediary. Therefore, it is suggested that university-enterprise should integrate resources with complementing, interacting, and sharing resources; construct the profit and risk-sharing mechanism, communication and trust mechanism, and organizational learning mechanism. (shrink)

Are female CEOs greener? Few studies have explicitly scrutinised the roles of female CEOs and their political embeddedness in green innovation. In the present work, the influence of female CEOs on green innovation is first examined. Then, the effect of politically embedded female CEOs on green innovation is explored by differentiating female CEOs as those who are and who are not politically embedded, respectively. Furthermore, the moderating effects of external environmental factors on this relationship, namely market competition and market development, (...) are investigated. Using data on China's publicly operated firms from 2008 to 2017, the findings suggest the following: (1) female CEOs negatively affect green innovation; (2) politically embedded female CEOs positively affect green innovation; (3) the positive influence of politically embedded female CEOs on green innovation is strengthened when firms are situated in less competitive industries and more developed markets. This article extends the research and current knowledge base about female CEOs, political embeddedness, and green innovation. (shrink)

As environmental issues have become increasingly prominent around the world, corporate environmental responsibility has begun to attract more attention. As the decision-makers of firms, top executives play an important role in the environmentally ethical behavior of their corporations. Few studies, however, have explored the motivations behind corporations’ environmentally responsible behavior from the perspective of how CEOs’ early experiences shape their decisions. This paper explores the impact that CEOs who experienced the Send-down movement have on their companies’ environmentally responsible behavior and (...) the boundary conditions of this impact from the perspective of the imprinting theory. Based on the data of listed Chinese companies from 2009 to 2020, we have found that CEOs who were themselves “Sent-down youth” have a positive impact on corporate environmental responsibility. For firms with a higher proportion of state ownership and CEOs with Chinese Communist Party membership, the relationship between experience with the Send-down movement and corporate environmental responsibility is strengthened, whereas a higher level of market competition weakens the relationship. This article enriches and deepens the research on the imprinting theory, and it also has certain practical implications for firms that hire top executives with unique types of early experiences to promote business ethics improvement. (shrink)

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

Formal learning theory formalizes the process of inferring a general result from examples, as in the case of inferring grammars from sentences when learning a language. In this work, we develop a general framework—the supervised learning game—to investigate the interaction between Teacher and Learner. In particular, our proposal highlights several interesting features of the agents: on the one hand, Learner may make mistakes in the learning process, and she may also ignore the potential relation between different hypotheses; on the other (...) hand, Teacher is able to correct Learner’s mistakes, eliminate potential mistakes and point out the facts ignored by Learner. To reason about strategies in this game, we develop a modal logic of supervised learning and study its properties. Broadly, this work takes a small step towards studying the interaction between graph games, logics and formal learning theory. (shrink)

BackgroundPublic health guidelines have recommended that elective medical procedures, including deep brain stimulation surgery for Parkinson’s disease, should not be scheduled during the coronavirus pandemic to prevent further virus spread and overload on health care systems. However, delaying DBS surgery for PD may not be in the best interest of individual patients and is not called for in regions where virus spread is under control and inpatient facilities are not overloaded.MethodsWe administered a newly developed phone questionnaire to 20 consecutive patients (...) with PD who received DBS surgery in Ruijin Hospital in Shanghai during the COVID-19 pandemic. The questionnaire was designed to gather the patients’ experiences and perceptions on the impact of COVID-19 on their everyday activities and access to medical care.ResultsMost of the patients felt confident about the preventive measures taken by the government and hospitals, and they have changed their daily living activities accordingly. Moreover, a large majority of patients felt confident obtaining access to regular and COVID-19-related health care services if needed. Routine clinical referral, sense of security in the hospital during the outbreak, and poor control of PD symptoms were the three main reasons given by patients for seeking DBS surgery during the COVID-19 pandemic.ConclusionThe COVID-19 pandemic has considerably impacted medical care and patients’ lives but elective procedures, such as DBS surgery for PD, do not need to be rescheduled when the health care system is not overloaded and adequate public health regulations are in place. (shrink)