B. Chen

The purpose of this study was to present a translation and interpreting teacher role identity framework for investigating how T&I teachers in China develop their role identities. There is a vast literature on language teacher identity in higher education compared to a paucity of literature on the development of T&I teacher identity. Developing a strong T&I teacher identity in the context of Chinese universities is challenging as teachers combine sub-roles of trainers/educators, researchers, and practitioners, and the context is more supportive of constructing a researcher role than trainer/educator and practitioner roles. A strong teacher identity, on the other hand, is vital since it enhances teachers’ willingness to engage in professional development. This study proposes a framework based on the Dynamic Systems Model of Role Identity that describes how three sub-roles interact and contribute to overall T&I teacher identity. This work contributes to the scant literature on T&I teacher identity research, shedding light on how different role identities may interact throughout the professional careers of a teacher. Additionally, the framework may also foster an awareness of the impact of higher education on a teacher and, as a result, offer implications for universities in China to encourage the development of teacher identity.

PurposeThis study systematically evaluates the effect of mindfulness meditation on depression during pregnancy. We provide evidence-based suggestions for preventing and reducing depression during pregnancy by exploring the most effective intervention mode, cycle, and frequency of mindfulness meditation.MethodsRecords were retrieved from PubMed, Web of Science, EBSCO, and Science Direct. A total of 1,612 randomized controlled trial studies on the effect of mindfulness meditation on pregnancy depression were collected. 10 studies with 658 subjects meeting the inclusion criteria were extracted and analyzed by Revman 5.3 to evaluate study qualities. Stata 12.0 was used for the meta-analysis.ResultsMindfulness meditation had a positive effect on depression during pregnancy [standardized difference of the mean = −0.786, 95% confidence interval, P 75%]. This may be caused by variance in measurement tools, among which Beck Depression Inventory-II was a significant source of heterogeneity.ConclusionMindfulness meditation can improve the prevention, remission, and reduction of depression during pregnancy and can be used as an auxiliary measure for the clinical treatment of pregnancy depression.

The relationship between bilingual language control and executive control is debated. The present study investigated the effect of short‐term language switching in a comprehension task on executive control performance in unbalanced bilinguals. Participants were required to perform a context task and an executive control task (i.e., flanker task) in sequence. A picture‐word matching task created different language contexts in Experiment 1 (i.e., L1, L2, and dual‐language contexts). By modifying the color‐shape switching task, we created different contexts that do not involve language processing in Experiment 2 (i.e., color, shape, and dual context). Experiment 1 showed overall faster responses (in both congruent and incongruent trials) in the flanker task after a language switching context than after single (L1 or L2) contexts. This suggests that the language switching in a comprehension task affected general monitoring performance. By contrast, the nonlinguistic contexts in Experiment 2 did not affect flanker performance. This provides further evidence for the crucial role of language processing during switching to elicit short‐term adaptions on domain‐general conflict monitoring. Overall, our findings add to the previous studies by showing cross‐talk between bilingual language control and domain‐general conflict monitoring when language switching occurs in a comprehension task.

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.

Recent interest in the external validity of prediction models has produced many methods for finding predictive distributions that are invariant to dataset shifts and can be used for prediction in new, unseen environments. However, these methods consider different types of shifts and have been developed under disparate frameworks, making it difficult to theoretically analyze how solutions differ with respect to stability and accuracy. Taking a causal graphical view, we use a flexible graphical representation to express various types of dataset shifts. Given a known graph of the data generating process, we show that all invariant distributions correspond to a causal hierarchy of graphical operators, which disable the edges in the graph that are responsible for the shifts. The hierarchy provides a common theoretical underpinning for understanding when and how stability to shifts can be achieved, and in what ways stable distributions can differ. We use it to establish conditions for minimax optimal performance across environments, and derive new algorithms that find optimal stable distributions. By using this new perspective, we empirically demonstrate that that there is a tradeoff between minimax and average performance.

Registration of a series of the two-dimensional electron microscope images of the brain tissue into volumetric form is an important technique that can be used for neuronal circuit reconstruction. However, complex appearance changes of neuronal morphology in adjacent sections bring difficulty in finding correct correspondences, making serial section neural image registration challenging. To solve this problem, we consider whether there are such stable "markers" in the neural images to alleviate registration difficulty. In this paper, we employ the spherical deformation model to simulate the local neuron structure and analyze the relationship between registration accuracy and neuronal structure shapes in two adjacent sections. The relevant analysis proves that regular circular structures in the section images are instrumental in seeking robust corresponding relationships. Then, we design a new serial section image registration framework driven by this neuronal morphological model, fully utilizing the characteristics of the anatomical structure of nerve tissue and obtaining more reasonable corresponding relationships. Specifically, we leverage a deep membrane segmentation network and neural morphological physical selection model to select the stable rounded regions in neural images. Then, we combine feature extraction and global optimization of correspondence position to obtain the deformation field of multiple images. Experiments on real and synthetic serial EM section neural image datasets have demonstrated that our proposed method could achieve more reasonable and reliable registration results, outperforming the state-of-the-art approaches in qualitative and quantitative analysis.

Faster R-CNN architecture is used to solve the problems of moving path uncertainty, changeable coverage, and high complexity in cold-air induced large-scale intensive temperature-reduction detection and classification, since those problems usually lead to path identification biases as well as low accuracy and generalization ability of recognition algorithm. In this paper, an improved recognition method of national ITR path in China based on faster R-CNN in complicated meteorological systems is proposed. Firstly, quality control of the original dataset of strong cooling processes is carried out by means of data filtering. Then, according to the NITR standard and the characteristics of NITR, the NITR dataset in China is established by the intensive temperature-reduction areas located through spatial transformation. Meanwhile, considering that the selection of regularization parameters of Softmax classification method will cause the problem of probability calculation, support vector machine is used for path classification to enhance the confidence of classification. Finally, the improved faster R-CNN model is used to identify, classify, and locate the path of NITR events. The experimental results show that, compared to other models, the improved faster R-CNN algorithm greatly improves the performance of NITR’s path recognition, especially for the mixed NITR paths and single NITR paths. Therefore, the improved faster R-CNN model has fast calculation speed, high recognition accuracy, good robustness, and generalization ability of NITR path recognition.

The COVID-19 pandemic has influenced the tourism industry in various ways, including tourists’ travel motivations and intentions. Unlike previous studies that have focused on the dark side of the pandemic, this study adds the dimension of perceptions of positive information on COVID-19 to the Theory of Planned Behavior to explore their influence on travel motivation and intention. A total of 470 valid questionnaires were collected from a sample of Chinese university students. The results showed that the students’ perceptions of positive COVID-19 information positively impacted their travel intentions through the variables of perceived behavioral control, travel attitudes, and travel motivations. Perceived behavioral control was the mediating variable that most explained the impact of perceptions of positive COVID-19 information on travel motivation and intention. This study contributes to the understanding of the influence of the COVID-19 pandemic on tourism and of university students’ travel motivations and intentions. It also offers implications for the tourism industry to formulate relevant recovery strategies during and after the pandemic.

High vocation education is an important foundation for China to cultivate high teaching quality and technical and skilled talents. In the new era, the acceleration of the development of modern vocational education is put in a more prominent position. It is proposed that we should adhere to moral education, closely combine this with the needs of technological change and industrial upgrading, constantly improve the quality of high vocational education teaching, and cultivate more technical and skilled talents with both political integrity and ability for modernization construction. Under the background of social informatization, using artificial intelligent technology to solve these problems can play an important role for improving the teaching quality of high vocational education. This paper proposed a data mining approach in promoting student satisfaction with the teaching quality of high vocational education. We design a questionnaire for Students’ satisfaction with the teaching quality of basic entrepreneurship curriculum. We take the survey data of vocation education as an example and use mining technology analysis software to understand the current status of the teaching quality of basic entrepreneurship curriculum. The results determine the main factors affecting Students’ satisfaction with teaching quality. The results of this paper can be used in student management, education strategy, student education satisfaction, and teaching quality in high vocation college education, and to improve the teaching quality of fundamentals of entrepreneurship curriculum in high vocation education.

This chapter revisits Ernest Nagel’s view of teleology in biology. In some of his writings from the 1950s to the 1970s, Nagel contended for the legitimacy of teleology in biology but argued against its uniqueness. In addition, Nagel also offered a goal-contribution account in the biological function debate which emerged in the 1960s and the 1970s. While questions of legitimacy and uniqueness of teleology draw little attention today, the biological function debate remains in focus in philosophy of biology. Although the ongoing debate does mention Nagel’s name occasionally, his view, often merely understood as the goal-contribution account, is treated as outdated. However, this treatment is limited, because it fails to consider Nagel’s another important thesis, that is, eliminativism. In this chapter, I attempt to do three things. First, I articulate Nagel’s view, by showing that the eliminativist Nagel considered it acceptable to eliminate teleological terms in biological discourse, and that he also treated them as anthropomorphic vestiges. Second, I defend Nagel’s view and use it to clarify the current biological function debate, by distinguishing a descriptive dimension of this debate from its prescriptive dimension. Third, I hope to deepen Nagel’s view, by pushing it to a further and perhaps its logical conclusion, that is, Kant’s view of biological teleology.

The swarm intelligence algorithm simulates the behavior of animal populations in nature and is a new type of intelligent solution that is different from traditional artificial intelligence. Feature selection is a very common data dimensionality reduction method, which requires us to select the feature subset with the best evaluation criteria from the original feature set. Feature selection, as an effective data processing method, has become a hot research topic in the fields of machine learning, pattern recognition, and data mining and has received extensive attention and attention. In order to verify the improvement effect of the feature selection algorithm based on the swarm intelligence algorithm on the data, this paper conducts experiments on six classes in the city’s first middle school with similar conditions. First, count the current situation of the students in the class, then divide them into classes, use different algorithms to teach them, and count the changes of the students after a period of teaching. The experiment found that the performance of students under the feature selection algorithm is about 30% higher than other teaching methods, and the awareness of cooperation between students reaches 0.8. It solves the contradiction between popularization and improvement and solves the problems of polarization and transformation of underachievers. The individuality of the algorithm has been fully utilized and developed. The test results show that the improved algorithm has faster convergence speed and higher solution accuracy, and the feature selection algorithm based on swarm intelligence algorithm can effectively improve the efficiency of the algorithm.

Starting from Denis Noble’s criticism on the modern synthesis, this article argues that the author’s presentation of the modern synthesis focusses too one-sidedly on the phenomenal characteristics of the living, whereby it is made easily suitable to his criticisms, but risks to remain trapped in a territory-struggle; this criticism lacks an explicit focus on logical matters, and more in particular on the synthetic principles required to situate the relevancy or irrelevancy of phenomenal characteristics beyond territory-struggles. A brief sketch of how the principle of teleology calls for reflexivity allows us to reveal the tension in Noble’s account between, on the one hand, the way in which he stresses the importance of metaphors and language, and, on the other hand, the way in which he invokes empirical arguments to assess the illusory character of certain metaphors.

Individual creativity has been the focus of long-term research in creative industries. However, few studies have explored the impact on individual creativity from social factors. At the same time, the influence of individual creativity on the existence of subsequent factors in the creative industry is also worthy of further investigation. From a social standpoint, this research aims to explore how social norms affect individual creativity, and how individual creativity affects subsequent leadership. The present research takes creative entrepreneurs in creative enterprises as the research objects, and the structural equation model is used to analyze the data obtained from 202 valid questionnaires. Besides, the mediating effect of individual creativity between social norms and individual leadership is verified. The results show that social norms can effectively promote the generation of individual creativity that has a positive impact on both transactional or transformational leadership. It is revealed that social norms are effective tools for enhancing creativity, answering the question of how creative ideas are transformed into creative work and leadership. Individual creativity plays a mediating role between social norms and individual leadership.

The debate on the yan-yi relation was carried out by Chinese philosophers collectively, and the principles and methods in the debate still belong to a living tradition of Chinese philosophy. From Yijing (Book of Changes), Lunyu (Analects), Laozi and Zhuangzi to Wang Bi, "yi" which cannot be expressed fully by yan (language), is not only "idea" or "meaning" in the human mind, but is also some kind of ontological existence, which is beyond yan and emblematic symbols, and unspeakable. Thus, the debate on the yan-yi relation refers firstly to metaphysics, secondly to moral philosophy, and then to epistemology and philosophy of language. Guided by this view, this paper recalls the source of the debate on the yan-yi relation to Yijing and Lunyu, distinguishes four meanings of "yi" in Chinese philosophy, and reconstructs three arguments. These arguments are the "yan cannot express yi fully" argument, "forget yan once you get yi" argument, and "yan can express yi fully" argument. Finally, this paper exposes and comments on those principles, methods and the general tendency shown in the debate from the following five aspects: starting point, value-preference, methodology, texts (papers and books), and influences

This paper focuses on the finite-time synchronization analysis for complex-valued recurrent neural networks with time delays. First, two kinds of common activation functions appearing in the existing references are combined together and more general assumptions are given. To achieve our aim, a nonlinear delayed controller with two independent parameters different from the existing ones is provided, which leads to great difficulty. To overcome it, a newly developed inequality is used. Then, via Lyapunov function approach, some criteria are derived to guarantee the finite-time synchronization of the considered system, and the settling time for synchronization is also estimated. Finally, two numerical simulations are given to support the effectiveness and advantages of the obtained results.

Vitalism was long viewed as the most grotesque view in biological theory: appeals to a mysterious life-force, Romantic insistence on the autonomy of life, or worse, a metaphysics of an entirely living universe. In the early twentieth century, attempts were made to present a revised, lighter version that was not weighted down by revisionary metaphysics: “organicism”. And mainstream philosophers of science criticized Driesch and Bergson’s “neovitalism” as a too-strong ontological commitment to the existence of certain entities or “forces”, over and above the system of causal relations studied by mechanistic science, rejecting the weaker form, organicism, as well. But there has been some significant scholarly “push-back” against this orthodox attitude, notably pointing to the 18th-century Montpellier vitalists to show that there are different historical forms of vitalism, including how they relate to mainstream scientific practice (Wolfe and Normandin, eds. 2013). Additionally, some trends in recent biology that run counter to genetic reductionism and the informational model of the gene present themselves as organicist (Gilbert and Sarkar 2000, Moreno and Mossio 2015). Here, we examine some cases of vitalism in the twentieth century and today, not just as a historical form but as a significant metaphysical and scientific model. We argue for vitalism’s conceptual originality without either reducing it to mainstream models of science or presenting it as an alternate model of science, by focusing on historical forms of vitalism, logical empiricist critiques thereof and the impact of synthetic biology on current (re-)theorizing of vitalism.

In biology the term “vitalism” is usually associated with Hans Driesch’s doctrine of the entelechy: entelechies were nonmaterial, bio-specific agents responsible for governing a few peculiar biological phenomena. Since vitalism defined as such violates metaphysical materialism, the received view refutes the doctrine of the entelechy as a metaphysical heresy. But in the early twentieth century, a different, non-metaphysical evaluation of vitalism was endorsed by some biologists and philosophers, which finally led to a logical refutation of the doctrine of the entelechy. In this non-metaphysical evaluation, first, vitalism was not treated as a metaphysical heresy but a legitimate response to the inadequacy of mechanistic explanations in biology. Second, the refutation of vitalism was logically rather than metaphysically supported by contemporary biological knowledge. The entelechy was not a valid concept, because vitalists could neither formulate vital laws, nor offer convincing examples of experimental indeterminism.

Research increasingly demonstrates that associations between autonomy-relevant parenting and adolescent adjustment generalize across cultures. Yet, there is still an ongoing debate about the role of culture in these effects of autonomy-relevant parenting. The current study aimed to contribute to a more nuanced perspective on this debate by addressing cultural variability in micro-processes involved in autonomy-relevant parenting and, more specifically, in adolescents’ appraisals of and responses to parental behavior. In this vignette-based experimental study, involving 137 South-Korean adolescents (54% female, mean age = 16 years), we examined whether individual differences in vertical collectivism affect the association between descriptions of potentially autonomy-supportive and controlling parenting practices and (a) appraisals of these practices (in terms of perceived autonomy support and control and experiences of autonomy need satisfaction and frustration), and (b) anticipated responses to these practices (i.e., negotiation, submissive compliance, and oppositional defiance). Participants in the autonomy-supportive condition reported more perceived autonomy support and autonomy satisfaction and lower perceived control and autonomy need frustration than participants in the controlling condition. Collectivism moderated between-vignette effects on perceived control and autonomy need frustration such that the differences between the autonomy-supportive and controlling vignettes were less pronounced (yet still significant) among adolescents scoring higher on collectivism. Collectivism did not moderate effects of the vignettes on the responses to parenting, but yielded a main effect, with collectivism relating to more submissive compliance and less oppositional defiance. Overall, the results suggest that both universal and culture-specific processes are involved in autonomy-relevant socialization.