Any text can not leave the text the user exists, with the phenomenon of indirect discourse anaphora is no exception. Therefore, the phenomenon of indirect anaphora can not be studied only from the text itself, but also from the recipient of discourse processing and mental representation of discourse strategies such as perspective depth studies to explore the source of discourse coherence factors. Indirect anaphor is a special kind of anaphor that receives more and more attention these years. Based on previous (...) research findings, this paper mainly deals with the syntactic and semantic classifications of indirect anaphor and comes up with several theoretic frameworks in which it could be explained. The author believes that a text is not a text without its users. It is no exception for texts containing indirect anaphora. Therefore, a proper method of investigation into indirect anaphora should contain not only studies of the text, but also studies on how the text is processed and mentally represented by text users. (shrink)

The technological progress makes great contribution to the rapid economic growth of China during its past three decades of reform and opening up. An empirical analysis conducted over China’s total factor productivity certifies this conclusion but it also reveals that China’s TFP growth rate is not very high. We further explore the various stages of change of China’s total factor productivity and the causes of these changes and finally take an analytical calculation over the present flaws of China’s innovation system (...) and offer some advices. (shrink)

ObjectiveThis study aimed to better understand the current situation involving work stressors and the coping styles of outpatient and emergency nurses in 29 pediatric specialty hospitals across China. The study analyzed this correlation to provide a reference for the occupational stress management of pediatric nurses.MethodsFrom June to September 2020, 1,457 outpatient and emergency nurses in 29 pediatric specialty hospitals across China were selected as study participants, and a questionnaire survey was conducted using the Basic Information Questionnaire, the Chinese version of (...) the Work Stressor Scale for Nurses, and the Simple Coping Style Scale.ResultsThe assessed stress level of outpatient and emergency nurses in 29 tertiary pediatric specialty hospitals nationwide is lower than the results of the survey of the 2007 domestic norm, p < 0.05. The stressors related to nurses’ expectations, family conflicts, the nature of nursing work, patient factors, and workload were lower compared with the national norm. The positive coping style score on the Simple Coping Style Scale for pediatric outpatient nurses was, and work stressors were positively associated with negative coping styles. Multiple regression analysis showed that the influencing factors of work stressors among pediatric outpatient and emergency nurses correlated with the authorized size, age, working years of nurses, work department, and negative coping styles.ConclusionNegative coping styles were present among pediatric outpatient and emergency nurses and were associated with work stressors. The influencing factors of stressors mainly correlated with the clinical establishment, age, years of employment as a nurse, work department, and negative coping styles. (shrink)

This paper presents a theoretical framework of the circular shift network coding system through the study of nonmultiple clustered interval music performance style conversion and the analysis of music conversion by using circular shift topology, and a series of basic research results of circular shift network coding is obtained under this framework. It reveals the essential connection between scalar network coding based on finite domain and cyclic shift network coding, designs a solution construction algorithm for cyclic shift network coding under (...) multicast network, and portrays the multicast capacity of cyclic shift network coding. It overcomes the problem that the piano roll-curtain representation cannot distinguish between a single long note and multiple consecutive notes of the same pitch, describes musical information more comprehensively, extracts musical implicit style from the note matrix based on autoencoder, and better eliminates the potential influence of musical content on musical performance style. A two-way recurrent neural network based on the gated recurrent unit is used to extract a sequence of note feature vectors of different styles, and a one-dimensional convolutional neural network is used to predict the intensity of the extracted note feature vector sequence for a specific style, which better learns the intensity variation of different styles of MIDI music. (shrink)

Objectives: The corona virus disease-2019 pandemic spread globally, and we aimed to investigate the psychosocial impact on healthcare workers in China during the pandemic.Methods: In this systematic review and meta-analysis, we searched seven electronic databases for cross-sectional studies on psychosocial impact on HWs in relation to COVID-19 from January 1, 2020 to October 7, 2020. We included primary studies involving Chinese HWs during the pandemic, and data were extracted from the published articles. Our primary outcome was prevalence of anxiety, depression, (...) and stress disorders. We pooled prevalence value with their 95% confidence interval using random effect models and assessed study quality on the basis of an 11-item checklist recommended by the Agency for Healthcare Research and Quality. The study protocol was registered in PROSPERO.Results: We identified 25 articles comprising a total of 30,841 completed questionnaires and 22 studies for meta-analysis. The prevalence of anxiety, depression, and stress disorders was 34.4%, 31.1%, and 29.1% for HWs. The pooled prevalence of anxiety disorders for HWs from late January to early February was 46.4%, significantly higher than those in mid-term February and after late February. The pooled prevalence of depression disorders for HWs from late January to early February was 46.5%, significantly higher than those in mid-term February and after late February. HWs working in Hubei Province had a higher prevalence of anxiety and a lower prevalence of depression than those working in other regions. Nurses had a higher prevalence of anxiety and depression than other HWs.Conclusions: About one-third of HWs in China suffered anxiety, depression, and stress at the early epidemic of COVID-19. HWs in Hubei Province, especially nurses, had a higher prevalence of psychological disorders. During the pandemic, a negative psychological state may persist in a proportion of Chinese HWs, fluctuating with the control of the pandemic. The long-term impact should continue to be observed. Attention should be paid to HWs for their psychological impact due to the pandemic.Systematic Review Registration: The study protocol was registered with PROSPERO. (shrink)

This study aimed to investigate the factor structure and measurement invariance of the Brief Symptom Inventory-18 among Chinese adults. A sample comprising 1,839 adults from four cities in Shaanxi province completed the BSI-18 and background information. The best-fitting factor structure model of the BSI-18 was verified by confirmatory factor analyses, and multigroup confirmatory factor analyses were performed to test the measurement invariance. The results indicated that the three-factor bi-factor model fitted the current data best. The configural, metric, scalar, and strict (...) invariance models all had acceptable model fit indexes across genders, and the configural, metric, scalar invariance models with different living areas and educational levels were all acceptable. Overall, the three-factor bi-factor model of the BSI-18 shows a good fit for use with Chinese adults, making it a viable tool for effectively measuring the mental health of Chinese adults. (shrink)

This paper investigates whether local religious beliefs have a significant impact on the practice of earnings management. We extend the existing literature on the role of firm characteristics in mitigating earnings management by showing that local religious beliefs significantly impact the practice of earnings management. Specifically, exploring firms located in the U.S. counties that vary from 2000 through 2010, we document the negative relationship between religiosity and earnings management using multivariate regression analysis. Our results show that firms in counties with (...) strong religious social norms are less likely to engage in earnings management. Furthermore, we attempt to mitigate endogeneity concerns by employing a modified Difference-Differences model and Propensity score matching methods. We find that the negative effects of religion on earnings management still hold. Overall, these findings emphasize the empirical relevance of the association between the local social norms and earnings manipulations. (shrink)

This study examines the effects of leader emotional intelligence, leadership styles, organizational commitment, and trust on job performance. A questionnaire was administered to the participants, who were real estate brokers in Kaohsiung City. Of the 980 questionnaires administered, 348 valid responses were received, indicating an effective response rate of 35.5%. Structural equation modeling was used for the analysis. The results show that leader emotional intelligence has a significant and positive effect on trust in supervisors, and transformational leadership and trust within (...) a team have significant and positive effects on job performance. In addition, organizational commitment has a significant and positive effect on job performance. Trust within a team mediates the significant and positive effect of leader emotional intelligence on job performance. Although transactional leadership has no direct, positive, and significant effects on employee job performance, trust in the workplace shaped by a leader’s leadership style will empower a team’s spirit and boost their morale, thereby indirectly affecting their job performance in a positive manner. (shrink)

The purpose of this study is to examine preservice Chinese language teachers’ cognition in teaching intercultural communicative competence. In the study we collected data through in-depth interviews with seven preservice teachers in a Master of Education program at a university in Hong Kong SAR, China. The findings indicated that the participants had a relatively positive attitude and inclination toward the development of students’ intercultural communicative competence, while their conceptualizations of culture tended to be static and ambiguous. In addition, the participants’ (...) objectives in teaching intercultural communicative competence were found to be more attitude-than knowledge- or skill-oriented. The study offers valuable insights that preservice language teachers’ cognition plays a crucial role in their future professional development and calls for curricular innovations with intercultural aims in teacher education programs. (shrink)

China's domestic labor market has limited demand for tertiary graduates due to an unbalanced industrial structure, with a weak contribution to economic performance over the past decade. This study estimates the asymmetric effects of higher education progress (highly educated employed workforce), higher education utilization (highly educated unemployed workforce), and the separate effects of higher education utilization interactions with high-tech industries on economic growth in China from 1980 to 2020. Using a Nonlinear Autoregressive Distributed Lag (NARDL) model, this study finds that (...) the expansion of higher education progress (the employed workforce with higher education) promotes economic growth, while contraction of higher education progress (employed workforce with higher education) reduces economic growth. Likewise, an increase in higher education utilization (the unemployed labor force with higher education) suppresses economic growth, while a decline in the higher education utilization (the unemployed labor force with higher education) promotes economic growth. The study also found that the expansion of high-tech industries and government spending on education significantly stimulate economic growth. The moderating role of higher education utilization (unemployed labor force with higher education) in the impact of high-tech industries on economic growth is significantly positive. This study strategically proposes that China's higher-educated unemployed labor force can be adjusted to high-tech industries, which need to be developed equally in all regions. Moreover, the country is required to invest more in higher education and the development of high technological industries across all regions, thus may lead to higher economic growth. (shrink)

To study whether Tai Chi practice can improve the brain connectivity of the prefrontal lobe of college students, the positive psychological capital questionnaires and resting EEG signals were acquired from 50 college students including 25 TC practitioners and 25 demographically matched TC healthy controls. The results showed that the score of the positive psychological capital questionnaire of the TC group was significantly higher than that of the control group, and the node degree of the frontal lobe and temporal lobe of (...) both groups was positively correlated with the score of the positive psychological capital questionnaire. In addition, the response time of the TC group under auditory stimulation was significantly shorter than that of the control group, and there was a significant positive correlation between response time and its characteristic path length, and a significant negative correlation with global efficiency. Meanwhile, during the selected range of sparsity, the difference in global network parameters between two groups is significant in the alpha band. Under all single sparsity, the clustering coefficient, global efficiency, and local efficiency of the TC group have a higher trend, while the characteristic path length tended to be shorter. In the analysis of the local characteristics of the resting brain functional network, it was found that the node degree of the frontal lobe and temporal lobe of the TC group was higher, and the difference was significant in some nodes. These results all point to the fact that TC practice has a certain impact on specific brain areas of the brain. (shrink)

PurposeCOVID-19 pandemic is a significant threat toward the public health. However, the discussion of the mechanism of media literacy’s effect in fighting against pandemic is limited. Thus, this study aims to explore the mechanism with a sociocognitive perspective.MethodsA survey was administrated to 420 college students in China. PROCESS macro of SPSS was applied to analyze the data and test the moderated mediation effect.ResultsThe moderated mediation model of media literacy, proxy efficacy, self-efficacy, and official media use was tested and supported. Official (...) media use was a negative moderator on the association between media literacy and proxy efficacy.ConclusionThe study explored the media literacy’s role as a determinant of proxy efficacy and self-efficacy, which contributed to the sociocognitive theory. (shrink)

Exploring the amplitude modulation phenomenon of chaotic signal has become a subject of great concern in recent years. This paper mainly concentrates on the preliminary study on amplitude modulation principle of a chaotic system. First, two 3D chaotic systems with quadratic product terms are introduced for studying the amplitude modulation phenomenon of chaotic signal. It is found that the signal amplitude of the first system can be controlled by partial quadratic coefficient. But for the second system, none of nonlinear coefficient (...) can be employed to control the signal amplitude. Then, the amplitude modulation principle of chaotic system is preliminarily studied by exploring the intrinsic relationship between nonzero equilibrium point and phase space trajectory, and it is further validated by introducing unified parameter to the two 3D chaotic systems. As a necessary condition, the principle provides a feasible and simple method for constructing and analyzing an amplitude modulation chaotic system. (shrink)

This paper studies the state of charge estimation of supercapacitors and lithium batteries in the hybrid energy storage system of electric vehicles. According to the energy storage principle of the electric vehicle composite energy storage system, the circuit models of supercapacitors and lithium batteries were established, respectively, and the model parameters were identified online using the recursive least square method and Kalman filtering algorithm. Then, the online estimation of SOC was completed based on the Kalman filtering algorithm and unscented Kalman (...) filtering algorithm. Finally, the experimental platform for SOC estimation was built and Matlab was used for calculation and analysis. The experimental results showed that the SOC estimation results reached a high accuracy, and the variation range of estimation error was [−0.94%, 0.34%]. For lithium batteries, the recursive least square method is combined with the 2RC model to obtain the optimal result, and the estimation error is within the range of [−1.16%, 0.85%] in the case of comprehensive weighing accuracy and calculation amount. Moreover, the system has excellent robustness and high reliability. (shrink)

Systemic lupus erythematosus is an inflammatory autoimmune disease with depression as one of its most common symptoms. The aim of this study is to establish a nomogram prediction model to assess the occurrence of depression in patients with SLE. Based on the Hospital Anxiety and Depression Scale cutoff of 8, 341 patients with SLE, recruited between June 2017 and December 2019, were divided into depressive and non-depressive groups. Data on socio-demographic characteristics, medical history, sociopsychological factors, and other risk factors were (...) collected. Between-group differences in clinical characteristics were assessed with depression as the dependent variable and the variables selected by logistic multiple regression as predictors. The model was established using R language. Marital status, education, social support, coping, and anxiety predicted depression. The nomogram prediction model showed that the risk rate was from 0.01 to 0.80, and the receiver operating characteristic curve analysis showed that the area under the curve was 0.891. The calibration curve can intuitively show that the probability of depression predicted by the nomogram model is consistent with the actual comparison. The designed nomogram provides a highly predictive assessment of depression in patients with SLE, facilitating more comprehensive depression evaluation in usual clinical care. (shrink)

Adolescent smartphone addiction has increasingly attracted the attention of scholars because of the widespread use of internet technology in educational environments. In addition, previous studies have found that there is a complex relationship between smartphone addiction and self-consistency congruence, and subjective well-being. This research was conducted to examine whether subjective well-being would mediate the relation between self-consistency congruence and adolescent smartphone addiction, and whether gender would moderate the mediating process. A total of 1,011 Chinese adolescents completed self-report questionnaires measuring self-consistency (...) congruence, subjective well-being, and smartphone addiction. Self-consistency congruence was shown to be a significant predictor of smartphone addiction. Furthermore, subjective well-being partially mediated the association between self-consistency congruence and adolescent smartphone addiction. Gender could moderate the mediating process; as compared with boys, girls’ self-consistency congruence and subjective well-being are more easily mediated. We envision the findings as being helpful in guiding scholars who are developing interventions to minimize smartphone addiction and its disrupting effects in adolescents. (shrink)

To probe the motivational roles of hedonic gratification and social gratification in giving “Like” feedback on social media, we developed a set of novel pictures to simulate WeChat Moments. We subsequently examined how the personality trait of extraversion and stimulus content characteristics influenced “Liking” behavior. A 2 × 3 × 2 -mixed experimental design was applied to data obtained from 56 WeChat Moments users. These participants included 28 individuals with the highest extraversion scale scores, and 28 individuals with the lowest (...) extraversion scale scores, according to the NEO Five-Factor Inventory. Briefly, participants observed pictures on an interface similar to that of WeChat Moments and were given the option to “Like” each picture. “Like” rates and response time were then compared across groups and conditions by applying a mixed-design analysis of variance. Pearson's correlation coefficients were calculated to explore relationships between the “Like” rates under each condition and the scores for each personality trait. Compared with the neutral pictures, the positive and negative pictures were “Liked” more and less frequently, respectively. Compared with the poster-unrelated pictures, the personally related pictures were “Liked” more frequently. In the extrovert group, the frequency of “Likes” given to unrelated negative content positively associated with neuroticism and negatively associated with conscientiousness. No correlations were observed in the introvert group. Compared with not giving “Like” feedback, participants gave “Likes” to positive and negative pictures more quickly and slowly, respectively.These results support the hypothesis that hedonic gratification and social gratification motivate “Like” feedback for positive content and personally related content, respectively. “Liking” behavior was not affected by extraversion, but was related to neuroticism and conscientiousness. Content-related differences in time intervals for giving “Like” feedback in this study suggest that people do not hesitate to give “Like” feedback to positive content on WeChat Moments, yet linger in deciding to give “Like” feedback to negative content. (shrink)

The lantern exhibition at the Lantern Festival is an important traditional festival in Taiwan. Visitors play an important role in the promotion and sustainable development of intangible cultural heritage. In recent years, the involvement of digital technology in traditional lantern design and shows has contributed to the protection, inheritance, and promotion of ICH, there remains less research on using augmented reality with ICH tourism. In this study, AR is used for ICH lantern exhibition to discuss the learning experience in lantern (...) tourism and the relationship between technology acceptance and satisfaction from the perspective of visitors, as well as evaluate what AR has on improving visitors’ awareness and learning experience. Then, primary variables of the technology acceptance model are combined with generic learning outcomes to integrate ICH, education, and technology to expand TAM, building a new model to study the ICH learning experience. A questionnaire and observation are used. Respondents are visitors participating in the AR lantern exhibition in Taiwan, which is designed by the author. There is a total of 200 questionnaires collected in the end. The result shows that knowledge and understanding, attitudes and values, activity, behavior, and progression, and enjoyment, inspiration, and creativity from GLOs have a positive effect on technology acceptance and actual use. Therefore, visitors are satisfied with innovative and interesting technology learning experiences, enhancing learning interest and results. Besides, the interaction of the AR system improves visitors’ learning motivation, which shows the combination of AR technology with ICH tourism helps improve cultural awareness. (shrink)

With the worldwide spread of the Internet, human activity has become permeated by digital media, which shapes communication and interaction and speeds up the improvement of the experience and diffusion of museum exhibitions. Contemporary museums must understand their audiences, especially with respect to online preferences and surfing involvement experiences. Museums are changing in an effort to attract young netizens to access and use museum resources. Virtual museums are increasingly using digital exhibitions to preserve and apply their collections and establishing online (...) community platforms to interact with young people. This study investigates the underlying mechanism of online community characteristics that enhance audiences’ emotional resonance and involvement. Results from a questionnaire survey of Taiwan undergraduate students show that perceived relevance and esteem improve their emotional resonance, which can attract new people and maintain existing relationships within their communities. Following flow theory, maintaining community relationship characteristics increases emotional resonance, which, in turn, enhances user involvement, but we found only small significant effects of emotional resonance on involvement. These findings illuminate the mechanism of the attitudinal relationship building and maintenance for online museum communities and advance the practical contributions of online museum community use and effects. (shrink)

Entrepreneurial intention is an important condition for promoting substantive entrepreneurial behavior, which in turn alleviates employment pressure and promotes sustainable economic and social development. Based on national survey data of university students, descriptive statistical analysis of variables and binary logistic regression analysis were used to empirically analyze the factors influencing university students’ entrepreneurial intentions in five aspects, including innate endowment, acquired characteristics, entrepreneurship courses, and entrepreneurial practice, and social support. The regression results showed that both the factors of innate endowment (...) and acquired characteristics passed the significance test. The entrepreneurship course factor had a significant impact on entrepreneurial intention, with the mean value of the number of entrepreneurship courses hitting 1.80, which is much lower than the other subdivision factors, indicating that there is a greater demand for entrepreneurship courses offered by university students, while the actual situation is less than satisfactory. The entrepreneurial practice factor is also an important factor, with an overall mean of 3 or more, and has a significant impact on entrepreneurial intentions, but in comparison, the factor of having an off-campus practice base for entrepreneurial practice has the lowest mean score, which shows that there is some room for improvement in the construction of off-campus practice bases. The social support factor significantly influences the willingness to start a business, and the mean score for each factor is above the medium level. By understanding which students are more willing to start a business and which factors are more likely to influence their willingness to start a business, we can further consider what kind of entrepreneurial skills and entrepreneurship education can lead to high-quality entrepreneurship and employment. (shrink)

Entrepreneurial intention is an important condition for promoting substantive entrepreneurial behavior, which in turn alleviates employment pressure and promotes sustainable economic and social development. Based on national survey data of university students, descriptive statistical analysis of variables and binary logistic regression analysis were used to empirically analyze the factors influencing university students’ entrepreneurial intentions in five aspects, including innate endowment, acquired characteristics, entrepreneurship courses, and entrepreneurial practice, and social support. The regression results showed that both the factors of innate endowment (...) and acquired characteristics passed the significance test. The entrepreneurship course factor had a significant impact on entrepreneurial intention, with the mean value of the number of entrepreneurship courses hitting 1.80, which is much lower than the other subdivision factors, indicating that there is a greater demand for entrepreneurship courses offered by university students, while the actual situation is less than satisfactory. The entrepreneurial practice factor is also an important factor, with an overall mean of 3 or more, and has a significant impact on entrepreneurial intentions, but in comparison, the factor of having an off-campus practice base for entrepreneurial practice has the lowest mean score, which shows that there is some room for improvement in the construction of off-campus practice bases. The social support factor significantly influences the willingness to start a business, and the mean score for each factor is above the medium level. By understanding which students are more willing to start a business and which factors are more likely to influence their willingness to start a business, we can further consider what kind of entrepreneurial skills and entrepreneurship education can lead to high-quality entrepreneurship and employment. (shrink)

Existing studies mainly explored the detrimental effect of employee credit claiming, and little is known about how leader credit claiming can affect employees. Based on affective events theory and relative deprivation theory, we explore how leader credit claiming affects employee work outcomes by the research methods of literature review, interview, and empirical questionnaire. With a sample of 418 matched leader–employee pairs from a large manufacturing company, we find that leader credit claiming influences employee work outcomes through the mediating role of (...) employee anger and perceived unfairness. Additionally, we determine that leader credit-claiming attribution has a moderating influence on the relationship between credit claiming and anger and between credit claiming and perceived unfairness. The results support all hypotheses. Furthermore, we discuss the theoretical and practical implications of the findings. (shrink)

The paper starts with the research on the early discovery of college students' psychological problems. Besides, it analyzes the data of the general survey of college students' mental health in a certain university, the existing data of students with psychological problems, and the questionnaire data of students' basic information in school. By comprehensively using the decision tree model and Kendall correlation analysis and other methods, using Python and SPSS software to preprocess the data and realize the model, it can obtain (...) a psychological problem prediction model based on the objective behavior data of college students. The model is actually analyzed, and it gets good results. (shrink)

In recent years, due to factors such as rising sea levels, several island nations such as Maldives, Tuvalu, Kiribati, and the Marshall Islands are in danger of disappearing completely. When the land of an island country disappeared, the human rights protection of Environmentally Displaced Persons in the migration process and the possible loss of their unique culture, language, and lifestyle have aroused great concern. We call such Environmentally Displaced Persons as EDPs. This study selects the EDPs’ data of 241 countries (...) or regions from 2008 to 2018, establishes an ARIMA model, and predicts the future population of EDPs. By combining the influencing factors of cultural loss, the risk assessment model of cultural loss is established to evaluate the possibility of cultural loss during the migration process of EDPs. We have established a Bayesian Network and a Fault Tree Model to demonstrate the improvement brought about by the implementation of policy recommendations from both qualitative and quantitative perspectives and use the method of fault tree analysis to illustrate the importance of policies from the degree of probability reduction after policy changes. Finally, based on the above model establishment and data analysis, corresponding countermeasures are proposed to protect EDPs’ human rights from being violated and their culture will not be lost. (shrink)

To explore the change of brain connectivity in schizophrenics, the resting-state EEG source functional connections of SCZ and healthy control were investigated in this paper. Different band single-layer networks, multilayer networks, and improved multilayer networks were constructed and their topological attributes were extracted. The topological attributes of SCZ and HC were automatically distinguished using ensemble learning methods called Ensemble Learning based on Trees and Soft voting method, and the effectiveness of different network construction methods was compared based on the classification (...) accuracy. The results showed that the classification accuracy was 89.38% for α band network, 82.5% for multilayer network, and 86.88% for improved multilayer network. Comparing patients with SCZ to those with Alzheimer’s disease, the classification accuracy of improved multilayer network was the highest, which was 88.12%. The power spectrum in the α band of SCZ was significantly lower than HC, whereas there was no significant difference between SCZ and AD. This indicated that the improved multilayer network can effectively distinguish SCZ and other groups not only when their power spectrum was significantly different. The results also suggested that the improved multilayer topological attributes were regarded as biological markers in the clinical diagnosis of patients with schizophrenia and even other mental disorders. (shrink)

ObjectiveAs the coronavirus disease 2019 pandemic spread across Shanghai, China, in late February 2022 and protective measures to mitigate its impact were enacted, this study aimed to estimate how home quarantine affected the mental health of preschool children in Shanghai, China and explore the association between lifestyle factors and mental health during this special period.MethodsA cross-sectional online survey of 2,110 preschool students from Shanghai, China, was conducted during May 20–25,2022. Preschooler’ mental health and daily activities were reported by parents.ResultsThe sample (...) involved 2,110 children with a mean age of 4.65 years [standard deviation : 0.91, range: 3–6 years]. Boys and children whose mother’s education level were college and high school had higher rate of mental health problems. Boys had significantly higher rates of peer problems and prosocial behaviors than girls. The 3-year-old group had significantly higher rates of prosocial behaviors than other groups. As compared to the Shanghai norm and the SDQ results of preschool children in Shanghai in 2019, there were a significant decrease in emotional symptoms score, as well as a significant increase in conduct problems score. Additionally, peer problems score significantly increased compared to SH2019. Decreased time spent on daily sleep was associated with the increased risk for preschoolers’ mental health problems.ConclusionThere was an increase in the frequency of emotional and behavioral problems, especially regarding conduct problems and peer problems, in preschool children during the COVID-19 home quarantine in Shanghai, China. Boys, younger preschool children and children whose mother’s education level were college and high school may be especially vulnerable to emotional and behavioral problems. It was also found that decreased time spent on sleep may aggravate preschool children’s mental health problems. It may be beneficial to differentiate and focus on conducting psychoeducation and implementing psycho-behavioral interventions to solve these issues. (shrink)

This article reviews the edited volume “Evolvability: A Unifying Concept in Evolutionary Biology?” through biological and philosophical lenses. The book provides diverse angles on evolvability, which is affected by various hierarchical levels, timescales, and types of variation, thus moving beyond a purely genomics perspective. Evolvability is important to biosemiotics because understanding the dynamics of topological genotype spaces could help one better comprehend the phenotypic spaces of meaning, as developmental codes and interrelations can influence the emergence of biological novelty over time. (...) This book is successful in provoking thought on evolvability's role as both a product and a driver of evolutionary innovations and explores the philosophical implications of how evolution has the capacity to generate novel forms of meaning. (shrink)

本书以南宋社会的动荡不安为背景，叙述了朱熹讲经治学的经历及其创建理学的过程，展现一代理学宗师的风采。.

This paper presents the design, simulation, and experimental verification of the fractional-order multiscroll Lü chaotic system. We base them on op-amp-based approximations of fractional-order integrators and saturated series of nonlinear functions. The integrators are first-order active realizations tuned to reduce the inaccuracy of the frequency response. By an exponential curve fitting, we got a convenient design equation for realizing fractional-order integrators of orders from 0.1 to 0.95. The results include simulations in SPICE of the mathematical description and the electronic implementation (...) and experimental measurements that confirm them. Monte Carlo and sensitivity tests revealed a robust realization. Contrary to its passive counterparts, the suggested realizations significantly reduce design and implementation efforts by favoring resistors and capacitors with commercial values and reducing hardware requirements. (shrink)

Deep learning is widely used in the fields of information technology and education innovation but there are few studies for young children in the preschool stage. Therefore, we aimed to explore factors that affect children’s learning ability through collecting relevant information from teachers in the kindergarten. Literature review, interview, and questionnaire survey methods were used to determine the influencing factors of deep learning. There were five dimensions for these factors: the level of difficulty of academic, communication skills, level of active (...) collaboration, level of in-depth processing, and reflection level evaluation. Reliability and validity tests were used to analyze the data from questionnaires. In total, 100 valid questionnaires were collected. The Cronbach coefficients for academic challenge, communication, active cooperation, deep processing, and reflective evaluation were 0.801, 0.689, 0.770, 0.758, and 0.665, respectively. Principal component analysis revealed that there were three main factors that affect children’s learning depth: the level of deep processing, the level of reflective evaluation, and the active level of collaboration. In conclusion, there were several factors affecting deep learning in children and further studies are warranted to promote the development of this field. (shrink)

Drawing on social cognitive career theory, this study aims to ascertain how social creativity influences college students’ entrepreneurial intentions, based on the mediating role of career adaptability and the moderating role of parental entrepreneurial background. A total of 715 college students completed an online survey designed to collect information on these variables. SPSS was used to test the model. The results indicate that after controlling for gender and individual entrepreneurial experience, college students with a high level of social creativity were (...) likely to have a high level of entrepreneurial intention. Career adaptability partially mediates the association between social creativity and entrepreneurial intention. Moreover, both direct and indirect associations between social creativity and entrepreneurial intention were moderated by parental entrepreneurial background. Specifically, compared with college students whose parents had no entrepreneurial background, the relationships between social creativity and entrepreneurial intention, social creativity and career adaptability, and career adaptability and entrepreneurial intention were stronger among college students whose parents had an entrepreneurial background. The findings help to develop promotion programs that are more suitable for college students’ entrepreneurship intentions. (shrink)