This research was aimed to investigate the impact of the COVID-19 pandemic on the green entrepreneurial intention of college students through green entrepreneurial self-efficacy, optimism, ecological values, and social responsibility, as well as the mediating role of green entrepreneurial motivation. This study used structural equation model to test the hypothesis on samples of 410 Chinese colleges’ students. COVID-19 has a strong beneficial effect on green entrepreneurial self-efficacy, optimism, ecological values, and social responsibility, according to the research findings. Optimism and social (...) responsibility also were found to have a significant positive impact on green entrepreneurial self-efficacy. Moreover, green entrepreneurial motivations moderated the relationship between optimism, ecological values, social responsibility, and green entrepreneurial intention in a positive and significant way. Finally, the findings indicate that a significant positive correlation exists between green entrepreneurial self-efficacy and optimism, as well as a significant positive correlation between ecological values and social responsibility. (shrink)

Bowman-Smart et al. (2023) outlined the scenario that with the content expansion of noninvasive prenatal testing (NIPT) in the future, its application is not limited to the screening for aneuploidi...

When sharing a task with another person that requires turn taking, as in doubles games of table tennis, performance on the shared task is similar to performing the whole task alone. This has been taken to indicate that humans co-represent their partner’s task share, as if it were their own. Task co-representation allows prediction of the other’s responses when it is the other’s turn, and leads to response conflict in joint interference tasks. However, data from our lab cast doubt on (...) the view that task co-representation and resulting response conflict are the only or even primary source of effects observed in task sharing. Recent findings furthermore suggest another potential source of interference in joint task performance that has been neglected so far: Self-other discrimination and conflict related to agent identification (i.e., determining whether it is “my” or the other’s turn). Based on these findings we propose that participants might not always co-represent what their partner is supposed to do, but instead co-represent that another agent is responsible for part of the task, and when it is his turn. We call this account the actor co-representation account. (shrink)

Machine learning-driven clinical decision support systems (ML-CDSSs) seem impressively promising for future routine and emergency care. However, reflection on their clinical implementation reveals a wide array of ethical challenges. The preferences, concerns and expectations of professional stakeholders remain largely unexplored. Empirical research, however, may help to clarify the conceptual debate and its aspects in terms of their relevance for clinical practice. This study explores, from an ethical point of view, future healthcare professionals’ attitudes to potential changes of responsibility and decision-making (...) authority when using ML-CDSS. Twenty-seven semistructured interviews were conducted with German medical students and nursing trainees. The data were analysed based on qualitative content analysis according to Kuckartz. Interviewees’ reflections are presented under three themes the interviewees describe as closely related: (self-)attribution of responsibility, decision-making authority and need of (professional) experience. The results illustrate the conceptual interconnectedness of professional responsibility and its structural and epistemic preconditions to be able to fulfil clinicians’ responsibility in a meaningful manner. The study also sheds light on the four relata of responsibility understood as a relational concept. The article closes with concrete suggestions for the ethically sound clinical implementation of ML-CDSS. (shrink)

The paper describes supportive actions for users of NC machine tools. From the technical point of view, this comprises new input/output media for interaction with the machine as well as new software tools for help systems. From the organisational point of view, concepts for group work are to be supported and a methology for participation of users in the development process is suggested. A software tool for job order planning is presented which combines organisational and technical aspects. One of the (...) aims of the research reported here, is to explore options of systems which keep the human expert in the loop of shopfloor production. (shrink)

What is the principle purpose of a brain? A simple question, but the answer has taken millennia for us to begin to understand. So critical for our everyday existence, the brain still remains somewhat of a mystery. Gary L. Wenk takes us on a tour of what we do know about this enigmatic organ, showing us how the workings of the human brain produce our thoughts, feelings, and fears, and answering questions such as: How did humans evolve such a big (...) brain? What is an emotion and why do we have them? What is a memory and why do we forget so easily? How does your diet affect how you think and feel? What happens when your brain gets old? Throughout human history, ignorance about the brain has caused numerous non-scientific, sometimes harmful interventions to be devised based on interpretations of scientific facts that were misguided. Wenk discusses why these neuroscientific myths are so popular, and why some of the interventions based on them are a waste of time and money. With illuminating insights, gentle humor, and welcome simplicity, The Brain: What Everyone Needs to Know makes the complex biology of our brains accessible to the general reader. (shrink)

Blockchain technology applied to cryptocurrencies is the dominant factor in maintaining the security of cryptocurrencies. This article reviews the technological implementation of cryptocurrency and the security and stability of cryptocurrency and analyzes the security support from blockchain technology and its platforms based on empirical case studies. Our results show that the security support from blockchain technology platforms is significantly insufficient and immature. In addition, we further Zyskind and Nathan and Choi and find that the top ten platforms play critical roles (...) in security support and have significant advantages in terms of funds, duration, and human resources. Moreover, these platforms provide computational resources and benefits to the consensus algorithm selection for blockchain practitioners. Second, encryption ensures the security of cryptocurrencies. On the one hand, the digital signatures identify the identity of the signatory and the transaction. However, the principle of the hash algorithm confirms ownership. Meanwhile, SHA256 is infeasible to compute in the reverse direction and is difficult to attack. Furthermore, the records in the blockchain can be queried by every participant, making the system information transparent and open reliable. Third, compared to the study of Fu and Fang 2016, we find that the blockchain structure is composed of security components and basic components of six layers that are independent and cannot be extended completely and have a certain coupling among them. Fourth, the underlying ledger structures of Bitcoin and DAG are highly correlated to their security. Specifically, we follow Sompolinsky et al. and detect that the structure of SPECTRE ensures network security and robustness from its block production, conflict resolution, and generated trusted transaction sets. Meanwhile, the voting algorithm of SPECTRE makes resolving conflicting transactions by calculating votes and ensuring the transaction information that is virtually unable to be tampered with possible. In particular, the security calculation power of SPECTRE can reach 51% and resist “double-spend attacks” and “censorship attacks” effectively. In addition, the RDL framework of SPECTRE achieves security confirmation of transferring funds. Moreover, PHANTOM identifies evil blocks by employing block connectivity analysis and ensures its security. Eventually, we also expand the studies of and compare the basic characteristics of the protocols of Bitcoin, SPECTRE, and PHANTOM and find that protocols play imperative roles throughout the implementation process of cryptocurrency. In addition, the underlying ledger structure and consensus mechanism make up a blockchain while the confirmation time, throughput limit, and ordering are prerequisites for smart contracts. (shrink)

This paper uses the Multidimensional Fatigue Inventory to investigate the fatigue status of pilots, and the reliability and validity of the scale are tested by Cronbach’s α and exploratory factor analysis. The founding shows that mild fatigue and above accounted for 67.7%. For further quantify the impact of different flights on pilots’ fatigue, research improves the fatigue coefficient model based on the results of pilot fatigue feeling questionnaire. Combined with multifactor analysis of variance and multiple linear regression, it is found (...) that the independent variables have different and positive effects on the dependent variables, and there is no multicollinearity. Through the actual test, its accuracy is improved by 16.7% compared with the original model. (shrink)

We are sympathetic to most of what Glenberg says in his target article, but we consider it common wisdom rather than something radically new. Others have argued persuasively against the idea of abstraction in cognition, for example. On the other hand, Hebbian connectionism cannot get along without the idea of association, at least at the neural level.

This analysis tests the influence of personal, job, and family status characteristics on maternal employment. We use the Merged Child/mother File from the National Longitudinal Survey of Youth to examine employment patterns of mothers who gave birth between 1979 and 1986. Logistic regression is used to estimate the probabilities; proportional hazards techniques are used to estimate rates of leaving and return to employment after childbirth. We find that family status factors and the proportion of the family income the mother earns (...) are consistently important in predicting maternal employment. Human capital factors are more significant in predicting employment exits and the rate of exit than the rate of return or employment status one year after a birth. (shrink)