Wei Chen

The view of embodied cognition believes that cognition is embodied in nature, only the dynamics involved in the interaction between cognitive activities and the nervous system, body and environment, only by closely linking the correct evaluation of time-dependent and relationship, then only can make a correct understanding of cognitive activities. The core concepts of body and environment involved in embodied cognition are different from the body and environment in the usual sense. In terms of research methods, dynamic research methods that are different from traditional computer simulations are also adopted. The article first integrates and analyzes the basic position and general propositions in the discipline, then the embodied cognition are explained based on author's understanding. In addition, the suitability of dynamic research methods, its advantages and disadvantages is analyzed, and finally, a brief summary of the current status of embodied cognition research.

In the early fifth century AD, ancient Chinese calendar-makers developed an algorithm for calculating astronomical constants, which functioned efficiently for deriving precise fractional approximations and is mathematically equivalent to the continued fraction algorithm. A series of highly accurate fractions could be easily obtained by repeatedly applying this algorithm, which suggested that these highly accurate fractions did not appear randomly or coincidentally in ancient Chinese mathematics or calendar systems; however, was established using a systematic method. Based on historical and mathematical analysis, it is highly probable that Zu Chongzhi 祖冲之 (429–500) derived his famous approximation of $$\pi $$ ( $$\pi =355/113$$, as known as the Zu ratio 祖率) using this algorithm.

Research integrity has become a pressing concern in China, which accounts for a large share of global retractions. Yet little is known about how research integrity is understood and enacted within teaching hospitals. In this cross‐sectional study, we surveyed 106 medical researchers across four Shanghai hospitals to assess their awareness, attitudes, and practices regarding scientific misconduct, as well as the role of integrity education. Most respondents reported familiarity with definitions of fabrication, falsification, and plagiarism and expressed strong disapproval of these behaviors. Nonetheless, 11%–22% indicated some degree of tolerance toward selective reporting or unjustified authorship, and firsthand reports of witnessed misconduct were uncommon. Participation in formal courses or lectures on research integrity was associated with higher knowledge scores and stronger agreement with ethical principles. These findings reveal a tension between high awareness and partial tolerance, highlighting the importance of exploring how institutional cultures and incentive systems may influence ethical behavior in future research and policy efforts.

Anxious major depressive disorder is a common subtype of major depressive disorder; however, its unique neural mechanism is not well-understood currently. Using multimodal MRI data, this study examined common and specific alterations of amygdala subregions between patients with and without anxiety. No alterations were observed in the gray matter volume or intra-region functional integration in either patient group. Compared with the controls, both patient groups showed decreased functional connectivity between the left superficial amygdala and the left putamen, and between the right superficial amygdala and the bilateral anterior cingulate cortex and medial orbitofrontal cortex, while only patients with anxiety exhibited decreased activity in the bilateral laterobasal and superficial amygdala. Moreover, the decreased activity correlated negatively with the Hamilton depression scale scores in the patients with anxiety. These findings provided insights into the pathophysiologic processes of anxious major depressive disorder and may help to develop new and effective treatment programs.

In fear differential conditioning, stimuli that resemble the conditioned stimulus (CS+) are more likely to trigger fear responses. Excessive fear responses on stimuli not like CS + are often associated with anxiety. However, the threat judgments process and how this process manifests itself differently in subgroups with different generalisation rule applications, is unclear. This study examines whether anxiety biases the threat decision process in fear generalisation paradigm and whether subgroups characterised by different generalisation gradients was interpreted differently by drift-diffusion model. We gathered behavioural data through a binary fear generalisation judgment task and clustered participants based on their responses. Reaction time distributions and individual scale scores were analyzed using the hierarchical drift-diffusion model. The model results suggested that similarity and state anxiety facilitated evidence-gathering processes that favoured “threat” judgments, but at the same time, state anxiety weakened the effect of stimulus similarity as evidence. Further cluster analyses revealed that this effect of anxiety on threat judgments only held true for specific subgroups of participants. This pioneering computational modelling effort in fear generalisation underscores the significant role of strategy preference and its complex interaction with anxiety in shaping stimulus processing.

ObjectiveAnti-epidemic work against coronavirus disease has become routine work in China. Our study was intended to investigate the emotional and psychological state of healthcare workers and look for the association between sociodemographic factors/profession-related condition and emotional state.MethodsA cross-sectional survey was conducted online among healthcare workers from various backgrounds. Symptoms of anxiety and depression were assessed by the Chinese versions of the seven-item Generalized Anxiety Disorder and the nine-item Patient Health Questionnaire, respectively. Supplementary questions were recorded to describe the participants’ information about workplace violence, profession, and attitude related to the COVID pandemic. Wherever suitable, independent t-test, and one-way ANOVA were performed to detect group differences of GAD-7 and PHQ-9 total scores after grouping by sociodemographic variables, respectively, such as age, gender, marital status, educational level, after-tax income, department category, job title, experience of workplace violence, and anti-epidemic participation. Multiple linear regression analyses were utilized in order to look for the potential associated factors of GAD-7 and PHQ-9 total scores.ResultsA total of 2,139 questionnaires with valid response were completed. Approximately 86.44% of participants had minimal symptoms of anxiety, 11.08% mild, 1.59% moderate, and 0.89% severe. Meanwhile, 81.34% had minimal symptoms of depression, 14.07% mild, 2.90% moderate, 1.17% moderately severe, and 0.51% severe. Student’s t-test showed that participants with female gender, with experience of workplace violence scored higher on both GAD-7 and PHQ-9, and participants with experience of anti-epidemic front-line work during pandemic scored lower on both GAD-7 and PHQ-9. ANOVA showed that participants aging from 31 to 40, with higher educational level, with middle level of annual after-tax income, with department of internal medicine or surgery, or with middle level of job title scored higher on both GAD-7 and PHQ-9. Regression analyses showed that female gender, high job title, and the experience of workplace violence positively were associated with anxiety or depression. Doctoral education, department, job enthusiasm, and professional self-identity were negatively associated with anxiety or depression. Additionally, psychological support was negatively associated with depression.ConclusionAs the epidemic prevention and control against COVID-19 become normalized in China, emotional state of healthcare workers deserves extensive attention. Our study revealed that gender, educational level, department category, job title, the experience of workplace violence, job enthusiasm, and professional self-identity are the most important influencing factors of physician’s anxiety and depression. Self-tailored psychological intervention should be based on the predisposing factors above to mentally prepare healthcare workers for this long-lasting battle against COVID-19.

Leveraging the staggered introduction of specialized bankruptcy courts across China as an exogenous shock, this study examines the impact of specialized bankruptcy courts on corporate ESG performance. Using listed firms in China from 2015 to 2021, we find that the introduction of specialized bankruptcy courts leads to an increase in corporate ESG performance. Our main results remain robust after considering endogeneity concerns and TWFE bias. The underlying mechanism is that these courts strengthen creditor protection, thereby enhancing access to bank loans for local firms. Moreover, this effect is more pronounced in firms with limited access to bank financing and in cities with more efficient legal and financial environments. Collectively, our study contributes a novel perspective to the discourse in law and finance, underscoring the broader implications of judicial reforms on corporate ethical behavior.

Consensus of fractional-order multiagent systems with single integral has been wildly studied. However, the dynamics with multiple integral also exist in FOMASs, and they are rarely studied at present. In this paper, consensus problems for multi-integral fractional-order multiagent systems with nonuniform time-delays are addressed. The consensus conditions for MIFOMASs are obtained by a novel frequency-domain method which properly eliminates consensus problems of the systems associated with nonuniform time-delays. Besides, the method revealed in this paper is applicable to classical high-order multiagent systems which is a special case of MIFOMASs. Finally, several numerical simulations with different parameters are performed to validate the correctness of the results.

Consensus of fractional-order multiagent systems with single integral has been wildly studied. However, the dynamics with multiple integral also exist in FOMASs, and they are rarely studied at present. In this paper, consensus problems for multi-integral fractional-order multiagent systems with nonuniform time-delays are addressed. The consensus conditions for MIFOMASs are obtained by a novel frequency-domain method which properly eliminates consensus problems of the systems associated with nonuniform time-delays. Besides, the method revealed in this paper is applicable to classical high-order multiagent systems which is a special case of MIFOMASs. Finally, several numerical simulations with different parameters are performed to validate the correctness of the results.

Laboratory safety ethics education is paramount for the success of modern pharmacy education, cultivating responsible professionals who prioritize safety and ethical conduct. In applied pharmacy programs, laboratories serve as crucial learning environments, but they also present inherent risks. While Environmental, Health, and Safety (EHS) principles offer a robust framework for promoting laboratory safety and ethical conduct, their current integration within pharmacy curricula remains inconsistent and fragmented. This study analyzes the existing gaps in laboratory safety ethics education within applied pharmacy programs. Furthermore, the study investigates the challenges faced by these programs. Based on this analysis, the paper proposes a comprehensive framework for developing a robust safety ethics education system grounded in EHS principles. This framework emphasizes the importance of integrating EHS principles across the curriculum, utilizing innovative teaching methods, fostering a strong safety culture, and leveraging school-enterprise collaborations. By addressing these critical areas, this study aims to contribute to the enhancement of laboratory safety, the cultivation of ethical pharmacists, and the overall quality of applied pharmacy education.

Leveraging the staggered introduction of specialized bankruptcy courts across China as an exogenous shock, this study examines the impact of specialized bankruptcy courts on corporate ESG performance. Using listed firms in China from 2015 to 2021, we find that the introduction of specialized bankruptcy courts leads to an increase in corporate ESG performance. Our main results remain robust after considering endogeneity concerns and TWFE bias. The underlying mechanism is that these courts strengthen creditor protection, thereby enhancing access to bank loans for local firms. Moreover, this effect is more pronounced in firms with limited access to bank financing and in cities with more efficient legal and financial environments. Collectively, our study contributes a novel perspective to the discourse in law and finance, underscoring the broader implications of judicial reforms on corporate ethical behavior.

In this article, we provide a book review on Hengwei Li’s new book, "The Biotic View of Mind and Issues of Posthuman Society." The author presents a groundbreaking perspective, the biotic view of mind, which is known as the strong continuity view within the life-mind continuity thesis, resonating with pragmatism and predictive processing theory. Furthermore, this viewpoint is extended to the real-life context on intelligent technology and the forms of posthuman society, offering valuable insights for navigating the development of future society. Lastly, the author addresses the opposition and conflicts between the "two cultures" in cognitive science and proposes three potential solutions to this existing predicament. Given that this book spans philosophy, biology, psychology, neuroscience, and cognitive science, we believe it can inspire researchers and advanced students alike.

In this article, first, we argue that the concept of ‘vitality forms’ endows direct social perception (DSP) with suitable constructed percepts. Vitality forms capture how embodied actions unfold in the process, encapsulating the how-dimension of action, which provides a new dimension for understanding the multiplicities of action. Second, we discuss how vitality forms, as a diachronic gestalt, are completed and recognized in the process of dyadic sharing. We attempt to invoke another concept advocated by Daniel Stern, ‘moments of meeting’, thereby emphasizing the temporality problem of the constructed percepts in DSP. In these special moments, the minds of both parties intersect and co-construct a shared experience that can be perceived or seen by each participant. That is, vitality forms are a consequence of the co-construction within the dyad at the moments of meeting.

This study aims to investigate the moderating effect of the board chair's role on the relationship between board human capital and firm performance. Board human capital has been regarded as a valuable asset that enhances firm performance. Especially, the board chair plays a crucial role in developing this high-echelon human capital. This study utilises a set of longitudinal data to examine 275 firms in Taiwan. The result indicates that board human capital is positively related to firm performance, and the individual human capital of the board chair represents a moderating effect on the relationship between board human capital and performance.

The purpose of this paper is to explore job performance, mergers and acquisitions (M&A) from an ethical perceptive. A great number of studies have extensively discussed the link between M&A and performance; however, most focused on the financial functions and strategy selections. Although ethical issues emerge in the M&A process, it is a less studied area. This study adopted the structural equation modeling approach to empirically test our hypotheses. Based on 264 samples from financial companies, data analyses indicated that ethical conduct in M&A is significantly correlated with employee job performance. Ensuring employment security and caring practices can significantly explain organizational commitment. Organizational commitment also plays a significant mediating role between a company’s ethical conduct and employee job performance. Managerial implications are also provided.

The Meaning in Life Questionnaire is a popular tool to measure the presence of and one’s search for meaning in life. Although the validity of the MLQ has been verified in previous studies, the evidence from longitudinal measurement invariance of the MLQ is still lacking. The current study aimed to examine the LMI of the MLQ in a sample of Chinese college students at a 1-year interval. Multigroup confirmatory factor analysis was used to examine the LMI of the MLQ over four time points. Results indicate that the MLQ has strict longitudinal invariance across 1-year in Chinese college students, and the latent means difference of MLQ-P is not significant differences across time, while the latent means difference of MLQ-S show significant differences between Time 1 and the other time points. Moreover, the internal consistency reliabilities of the MLQ scores were acceptable at all four time points, and the stability coefficients across time were moderate. These findings provide preliminary evidence that the MLQ has satisfactory longitudinal properties in Chinese college students.

This work intends to solve the problem that the traditional education system cannot reasonably adjust the educational integration of children with the arrival of labor force in a short time, and support the education of migrant children in the education policy to integrate them into the local educational environment as soon as possible. Firstly, this work defines the surplus labor force and MC. Secondly, the principles of Artificial Intelligence and Deep Learning are introduced. Thirdly, it analyzes the education of MC and relevant policies, and the data of the education effect of MC are collected and the evaluation effect model is built. Finally, the evaluation model of MC’s education effect is applied to test the effect of EP. The results show that using AI technology combined with DL technology to model the education effect of MC can establish an effective and accurate evaluation model of the education effect of MC, effectively evaluate the impact of local education policies on the education of MC, and give an effective effect analysis of relevant education policies in each period. The result of Adaptive Resonance Theory –Back Propagation algorithm is 65 ∼ 96%, which is much higher than the efficiency of traditional algorithms. This shows that the education integration evaluation model of MC based on AI technology and DL technology can effectively and accurately evaluate the integration effect of MC on the local education system, and then provide reference for local and even national adjustment of education policies. The results provide a new idea for the application of new technology in EP.