The paper investigates the various factors from a socio-cultural perspective that have a bearing on the intercultural couple’s marital satisfaction in Westerner and non-Westerner relationships, and how cultural differences may potentially amplify the difficulties, which non-intercultural couples themselves are already likely to face. These factors include acculturation, language and communication, attitudes toward marriage, individual traits and behaviours, support of the family, societal views, gender roles, managing of the household finances and child rearing. Certain theories are also highlighted in an attempt (...) to explain why these cultural differences have such a profound effect on the marital satisfaction of intercultural couples. (shrink)

Electroacupuncture (EA) and electroconvulsive therapy (ECT) are often used in the management of schizophrenia. This study sought to determine whether additional EA and ECT could augment antipsychotic response and reduce related side effects. In this retrospective controlled study, 287 hospitalized schizophrenic patients who received antipsychotics (controls, n = 50) alone or combined with EA (n = 101), ECT (n = 55) or both (EA+ECT, n = 81) were identified. EA and ECT were conducted for 5 and 3 sessions per week, (...) respectively, with a maximum of 12 sessions for ECT during hospitalization. The Scale for the Assessment of Positive Symptoms (SAPS) and Scale for the Assessment of Negative Symptoms (SANS) were used to assess the severity of psychotic symptoms. Clinical response on SAPS and SANS, weight gain, and adverse events were compared. Survival analysis revealed that the ECT and EA+ECT groups had markedly greater clinical response rate than controls on SAPS [72.7% and 90.1% vs. 64.0%; relative risk (RR), 1.974 and 2.628, respectively, P ≤ 0.004] and on SANS (67.3% and 70.4% vs. 42.0%; RR, 1.951 and 2.009, respectively, P ≤ 0.015). A significantly greater response rate on SANS than controls was also observed in the EA group (64.4% versus 42.0%; RR = 1.938, P = 0.008). EA-containing regimens remarkably reduced weight gain and incidences of headache, insomnia, dry mouth, and electrocardiographic abnormalities. These results suggest that EA and ECT can serve as additional treatment for enhancing antipsychotic response and reduce the side effects in hospitalized patients with schizophrenia. (shrink)

Product configuration is a key enabling technology for mass customization production. Previous studies mainly focus on the solving technologies for obtaining a feasible configuration or optimal configuration but ignore environmental factors like CO2 emissions, especially the environmental regulations from international organizations. In this article, we address product configuration optimization problems considering both carbon cap and carbon tax regulations. A two-stage approach that combines both Particle Swarm Optimization and a greedy algorithm is presented to solve the product configuration problems with carbon (...) emission concerns. A case study of a configurable ranger-drilling machine is illustrated to demonstrate the effectiveness of the presented approach. The impacts of carbon cap and carbon tax regulations on configuration results are compared. Further, the models are extended to analyze the effects of single-sourcing and multisourcing on product configuration. The analysis shows that multisourcing in combination with carbon tax regulation can facilitate a manufacturer to provide more green and low-carbon customized products for customers. Numerical experiments are conducted to validate the effectiveness of the model and the efficiency of the proposed solution method. (shrink)

Career sustainability is a well-researched issue in academics and other sectors. Technology advancements and COVID-19 have jeopardized career sustainability. Numerous studies have explored the influence of individual characteristics on career sustainability, but few have focused on leadership. In addition, cultural factors must be considered because leadership is rooted in culture. In particular, inclusive leadership reflects traditional Chinese culture. Therefore, based on self-determination social exchange theories, we analyzed the effects of inclusive leadership on career sustainability as well as the roles of (...) thriving at work and supervisor developmental feedback in career sustainability. In total, 363 samples were collected from China. The results revealed that inclusive leadership improves career sustainability through SDF and thriving at work. Theoretically, our study fills the research gap and establishes a mechanism and theoretical framework for inclusive leadership and career sustainability. Practically, we offer guidance for enterprises to cultivate inclusive leadership and improve career sustainability. (shrink)

Employee innovation is the cornerstone of the organization, and the motivation for employee innovative behavior largely depends on the leadership style of the leader. With the economic development of society, the traditional authoritative style of leadership can no longer adapt to the psychological characteristics of employees, who use new-era work concepts, techniques, and social rules (hereafter, new generation workers). Inclusive leadership is based on the concept of “fully inclusive and equitable” in traditional Chinese culture, and it can adapt to the (...) independent needs of new generation employees. At present, the research on the relationship between the traditional leadership style and employee innovative behavior is relatively extensive, but there is little research on the relationship between inclusive leadership style and employee innovative behavior, and this needs further exploration. This paper takes new generation employees as the sample and uses psychological capital as an intermediary variable to explore the influence of inclusive leadership style on the innovative behaviors of new generation employees. We found that inclusive leadership is significantly and positively related to new generation employees’ innovative behaviors. Theoretical and practical implications are discussed. (shrink)

While an increasing number of organizations have introduced artificial intelligence as an important facilitating tool for learning online, the application of artificial intelligence in e-learning has become a hot topic for research in recent years. Over the past few decades, the importance of online learning has also been a concern in many fields, such as technological education, STEAM, AR/VR apps, online learning, amongst others. To effectively explore research trends in this area, the current state of online learning should be understood. (...) Systematic bibliometric analysis can address this problem by providing information on publishing trends and their relevance in various topics. In this study, the literary application of artificial intelligence combined with online learning from 2010 to 2021 was analyzed. In total, 64 articles were collected to analyze the most productive countries, universities, authors, journals and publications in the field of artificial intelligence combined with online learning using VOSviewer through WOS data collection. In addition, the mapping of co-citation and co-occurrence was explored by analyzing a knowledge map. The main objective of this study is to provide an overview of the trends and pathways in artificial intelligence and online learning to help researchers understand global trends and future research directions. (shrink)

The COVID-19 pandemic at the beginning of 2020 has changed the conventional learning mode for most students at schools all over the world, and the e-learning at home has become a new trend. Taking Chinese college students as the research subject and drawing on the stimulus–organism–response model, this paper examines the relationship between the peer referent, perceived closeness, and perceived control and the learning engagement. Using data from 377 college students who have used e-learning, this study shows that perceived closeness, (...) perceived control, and peer referents in e-learning have a positive effect on the self-efficacy and well-being of students, thus improving students’ enthusiasm for learning. Our intent is to assist researchers, instructors, designers, and others in identifying effective methods to conceptualize and measure student engagement in e-learning. (shrink)

Volatility is widely used in different financial areas, and forecasting the volatility of financial assets can be valuable. In this paper, we use deep neural network and long short-term memory model to forecast the volatility of stock index. Most related research studies use distance loss function to train the machine learning models, and they gain two disadvantages. The first one is that they introduce errors when using estimated volatility to be the forecasting target, and the second one is that their (...) models cannot be compared to econometric models fairly. To solve these two problems, we further introduce a likelihood-based loss function to train the deep learning models and test all the models by the likelihood of the test sample. The results show that our deep learning models with likelihood-based loss function can forecast volatility more precisely than the econometric model and the deep learning models with distance loss function, and the LSTM model is the better one in the two deep learning models with likelihood-based loss function. (shrink)

In the academic world, peer review is one of the major processes in evaluating a scholars contribution. In this study, we are interested in quantifying the merits of different policies in a peer review process, such as single-blind review, double-blind review, and obtaining authors feedback. Currently, insufficient work has been undertaken to evaluate the benefits of different peer review policies. One of the major reasons for this situation is the inability to conduct any empirical study because data are presently unavailable. (...) In this case, a computer simulation is one of the best ways to conduct a study. We perform a series of simulations to study the effects of different policies on a peer review process. In this study, we focus on the peer review process of a typical computer science conference. Our results point to the crucial role of program chairs in determining the quality and diversity of the articles to be accepted for publication. We demonstrate the importance of discussion among reviewers, suggest circumstances in which the double-blind review policy should be adopted, and question the credibility of the authors feedback mechanism. Finally, we stress that randomness plays an important role in the peer review process, and this role cannot be eliminated. Although our model may not capture every component of a peer review process, it covers some of the most essential elements. Thus, even the simulation results clearly cannot be taken as literal descriptions of an actual peer review process. However, we can at least still use them to identify alternative directions for future study. (shrink)

This study aimed to investigate the features of only child status related to physical health, mathematics achievement, and school feelings and expectations from a different perspective. A representative sample of 91,619 Grade 4 students with an average age of 10.4 ± 0.7, among which 28,631 were only children, were assessed. We used propensity score matching and the average treatment effects on the treatment to analyze data. The treatment was the only child of a family. The results indicated that only children (...) have better academic achievement and school feelings, while non-only children have better physical status and anaerobic fitness. In addition, gender and rural vs. urban areas differences were also explored. The adverse situation for rural only boys is emphasized for families, researchers, and governments to focus on. Some suggestions are given under the Two- and Three-Child Policy. (shrink)

The Global Reporting Initiative (GRI) guidelines have emerged as an important instrument used by firms to structure the content of sustainability reporting (SR). This development has led to the question of whether the elaboration of GRI SR is beneficial to a firm’s financial performance. In this study, building on signaling theory, we carry out an empirical investigation of the impact of GRI SR on firm profitability and the factors moderating that impact. Drawing from the China Stock Market and Accounting Research (...) (CSMAR), the WIND Economic, and the Chinese Research Data Services Platform (CNRDS) databases, we identified a sample of 122 listed firms with GRI SR in China. We then employed an event study method to compare the firms following GRI SR with a set of matched firms reporting sustainability without following the GRI guidelines. The results show that GRI SR significantly increases firm profitability. Moreover, firms with local political ties reap more benefits from GRI SR, while the moderating effect of central political ties is not significant. Surprisingly, the performance impact of GRI SR is negatively correlated to the firm’s internationalization level. (shrink)

In late 2019, the COVID-19 pandemic began to spread over the world, causing millions of deaths. In the first few months of the pandemic, several countries prevented the spread of the pandemic successfully. By contrast, the pandemic in many other countries was not controlled well. For example, India encountered a second serious outbreak of COVID-19 from April 2021 due to the poor resistance measures implemented by the government. To figure out the effective countermeasures to the pandemic, this research proposes a (...) COVID-19 pandemic and its response system, which consists of the infection subsystem, the quarantine subsystem, and the medical subsystem. On this basis, an improved SEIR-SD model is established which is utilized to analyze the response measures to the pandemic quantitatively. This model successfully simulates the actual epidemic scenarios in Wuhan, which verifies its effectiveness. Afterward, the impact of hospital administration rate, quarantine rate, average contact number, and contact infection rate on the cumulative number of infections and deaths are analyzed by simulation. The results show that both the medical and administrative efforts, especially in the early stage of the epidemic, are significant in reducing the number of infections and shortening the epidemic period. In the medical aspect, the more stringent quarantine brings the earlier inflection point of the epidemic; more importantly, improving the treatment rate significantly reduces the scale of the epidemic. In the administrative aspect, enforcing individual protection and strict community closure can effectively cut off the transmission of the virus and curb the spread of the epidemic. Finally, this research proposes several practical suggestions in response to the COVID-19 pandemic. The main contribution of this research is that the effects of different response measures on the number of new infections daily and the cumulative number of deaths of a country or region in the COVID-19 pandemic are estimated quantitatively based on modeling and simulation. (shrink)

In order to better assess the mental health status, combining online text data and considering the problems of lexicon sparsity and small lexicon size in feature statistics of word frequency of the traditional linguistic inquiry and word count dictionary, and combining the advantages of constructive neural network convolutional neural network in contextual semantic extraction, a CNN-based mental health assessment method is proposed and evaluated with the measurement indicators in CLPsych2017. The results showed that the results obtained from the mental health (...) assessment by CNN were superior in all indicators, in which F1 = 0.51 and ACC = 0.69. Meanwhile, ACC evaluated by FastText, CNN, and CNN + Word2Vec were 0.66, 0.67, 0.67, and F1 were 0.37, 0.47, and 0.49, respectively, which indicates the use of CNN in mental health assessment has feasibility. (shrink)

How foreign policy embodies human values is an issue worth studying. Such a value not only refers to the interests of social and political elites but to the prevailing welfare of people. In 2016, t...

BackgroundProfessional ethics is the regulation and discipline of nurses’ daily nursing work. Nurses often encounter various ethical challenges and problems in their clinical work, but there are fe...

The COVID-19 pandemic has presented a global threat to physical and mental health worldwide. Research has highlighted adverse impacts of COVID-19 on wellbeing but has yet to offer insights as to how wellbeing may be protected. Inspired by developments in wellbeing science and guided by our own theoretical framework, we examined the role of various potentially protective factors in a sample of 138 participants from the United Kingdom. Protective factors included physical activity, tragic optimism, gratitude, social support, and nature connectedness. (...) Initial analysis involved the application of one-sample t-tests, which confirmed that wellbeing in the current sample was significantly lower compared to previous samples. Protective factors were observed to account for up to 50% of variance in wellbeing in a hierarchical linear regression that controlled for a range of sociostructural factors including age, gender, and subjective social status, which impact on wellbeing but lie beyond individual control. Gratitude and tragic optimism emerged as significant contributors to the model. Our results identify key psychological attributes that may be harnessed through various positive psychology strategies to mitigate the adverse impacts of hardship and suffering, consistent with an existential positive psychology of suffering. (shrink)

Despite considerable disruption of social order caused by the COVID-19 pandemic, it has also been said to contribute to positive psychological changes and influence on the perception of public life satisfaction. The present study aimed to explore the association between the COVID-19 related posttraumatic growth and life satisfaction and the mediating role of personal values. A two-wave longitudinal design was used. 226 self-quarantined Chinese college students completed post traumatic growth inventory, satisfaction with life scale, personal values questionnaire between February 2020 (...) and May 2021. Results showed that more than half of self-quarantined Chinese college students reported moderate to high levels of the COVID-19 related posttraumatic growth. A structural equation model revealed that COVID-19 related posttraumatic growth was positively associated to life satisfaction, and self-transcendence and self-enhancement values partially mediated this association. These findings shed light on whether and how pandemic-related posttraumatic growth influenced personal life satisfaction, supporting the outcome and process perspectives of posttraumatic growth as well as Schwartz’s value theory. Based on the findings, some positive psychology interventions, such as online rumination activities and mindfulness practice, were proposed to enhance self-quarantined college students’ posttraumatic growth and life satisfaction. (shrink)

Artificial intelligence is a cutting-edge technology that has been widely applied in tourism operations. To enhance tourists' experience, many tourism suppliers introduced AI devices to interact with tourists. Previous studies classified AI devices as task- and social- oriented based on their functions; however, current models that explain customers' intention to use AI devices did not reflect the discrepancy between the two different types. Therefore, this paper attempts to fill this gap by proposing a theoretical model for the use of task-oriented (...) AI devices. Based on the multi-stage appraisal framework and the Structural Equation Modeling analysis, this paper presents the following findings: utilitarian motivation, interaction convenience, and task-technology fit are the factors appraised in the first stage; perceived competence and flow experience are the factors appraised in the second stage; utilitarian motivation, interaction convenience, and task-technology fit are positively associated with perceived competence. Perceived competence positively influences flow experience, which further affects customers' switching intention from task-oriented AI devices to human service; the serial mediating effect of perceived competence and flow experience between the stimulus mentioned in the first appraisal stage and the switching intention is confirmed. This study reveals the underlying psychological mechanism when customers use task-oriented AI devices, and it provides a theoretical framework for task-oriented AI device adoption. (shrink)

Internet addiction among older adults is a new problem in many countries. However, previous studies on excessive Internet use have focused more on young people, and only few studies have focused on Internet addiction in older adults. There is a need to continue to expand research on Internet addiction in older adults. This paper aimed to fill the gap in exiting literature. We adopted a self-reported questionnaire to assess the elderly’s interaction with children, loneliness, life satisfaction and Internet addiction among (...) old adults. A total of 241 old people were obtained from data collection in China via online survey with the help of a professional research company. We used OLS regression analysis and bootstrap method to test the hypothesis. The results of the empirical analysis indicated that interaction with children was significantly negatively associated with the Internet addiction of old people; loneliness mediated the relationship between interaction with children and old adults’ Internet addiction; and life satisfaction moderated the effect of interaction with children, and the indirect effect between interaction with children and old adults’ addiction via loneliness was stronger for those with low life satisfaction. Finally, we discussed the theoretical significance, practical implications, limitation of this research. Interventions to improve family function systems especially for older people with low life satisfaction can help prevent the development of Internet addiction. (shrink)

_A wide ranging consideration of the work of contemporary ethicist David Wong._.

In this study, we tested the feasibility of conducting quantitative assessments of patients’ experiences with care in the intensive care unit (ICU), in regard to treatment with respect and dignity. Patients completed the Patient Dignity Inventory, Collaborate, and selected domains from the Hospital Consumer Assessment of Health Providers and Systems Survey. Family members were additionally surveyed using the Family Satisfaction in ICU Care questionnaire. Overall, patients reported high levels of satisfaction in terms of nurses and doctors treating them with courtesy (...) and respect; however, physical aspects of care were reported to be more problematic. While this pilot study suggests some target areas for improving treatment with respect and dignity, the findings are limited since many patients were unable to participate in the survey. Future work should be directed at developing new measures that are easier to administer in this setting. (shrink)

In functional magnetic resonance imaging studies, object selectivity is defined as a higher neural response to an object category than other object categories. Importantly, object selectivity is widely considered as a neural signature of a functionally-specialized area in processing its preferred object category in the human brain. However, the behavioral significance of the object selectivity remains unclear. In the present study, we used the individual differences approach to correlate participants’ face selectivity in the face-selective regions with their behavioral performance in (...) face recognition measured outside the scanner in a large sample of healthy adults. Face selectivity was defined as the z score of activation with the contrast of faces versus non-face objects, and the face recognition ability was indexed as the normalized residual of the accuracy in recognizing previously-learned faces after regressing out that for non-face objects in an old/new memory task. We found that the participants with higher face selectivity in the fusiform face area (FFA) and the occipital face area (OFA), but not in the posterior part of the superior temporal sulcus (pSTS), possessed higher face recognition ability. Importantly, the association of face selectivity in the FFA and face recognition ability cannot be accounted for by FFA response to objects or behavioral performance in object recognition, suggesting that the association is domain-specific. Finally, the association is reliable, confirmed by the replication from another independent participant group. In sum, our finding provides empirical evidence on the validity of using object selectivity as a neural signature in defining object-selective regions in the human brain. (shrink)

With the popularization of higher education and the promotion of college enrollment expansion, the number of college graduates increases sharply. At the same time, the continuous transformation and upgrading of the industrial structure put forward higher requirements on the employability of college students, which leads to the imbalance between supply and demand in the labor market. The key to dealing with employment difficulties lie in the improvement of college students’ employability. Therefore, we make a regression analysis of 263 valid samples (...) from universities in Anhui Province and extract the factors that influence the improvement of college students’ employability in the process of talent cultivation in university. The result shows that there is a positive correlation between course setting, course teaching, club activities, and college students’ employability, among which the course teaching and club activities are the most critical factors which may influence college students’ employability. In addition, from the viewpoint of individual college students, the overall grades of college students and the time of participating in the internship are also closely related to their employability, i.e., college students with good overall grades and long internship time should also have stronger employability. (shrink)

本书从法律与人之间的有机互动关系出发,对法律发展的深层历史底蕴及其对人的主体性的终极关怀进行了深入、系统地分析和阐释,指出经济因素是法价值产生的内在根据,而人类理性因素则是法价值产生的必要条件。.

Emergency online education has been adopted worldwide due to coronavirus disease 2019 pandemic. Prior research regarding online learning predominantly focused on the perception of parents, teachers, and students in tertiary education, while younger children’s perspectives have rarely been examined. This study investigated how family, school, and individual factors would be associated with primary school students’ satisfaction, perceived effectiveness, and preference in online learning during COVID-19. A convenient sample of 781 Hong Kong students completed an anonymous online survey from June to (...) October 2020. Logistic regression was conducted for 13 potential factors. Results indicated that only 57% of students were satisfied with their schools’ online learning arrangement and 49.6% regarded the online learning as an effective learning mode. Only 12.8% of students preferred online learning, while 67.2% of students preferred in-person schooling. Multiple analyses suggested that teacher–student interaction during online classes was positively associated with students’ satisfaction, perceived effectiveness, and preferences in online learning. Compared to grades 1–2 students, grades 3–6 students perceived more effectiveness and would prefer online learning. Happier schools were more likely to deliver satisfying and effective online education. Students who reported less happiness at school would prefer online learning, and students who reported less happiness at home would be less satisfied with online learning and reflected lower effectiveness. Teachers are encouraged to deliver more meaningful interactions to students and offer extra support to younger children during online classes. Primary schools and parents are encouraged to create a healthy and pleasant learning environment for children. The government may consider building up happy schools in the long run. The study findings are instrumental for policymakers, institutions, educators, and researchers in designing online education mechanisms. (shrink)

In 2020, the sudden outbreak of coronavirus disease 2019 has had a great impact on the health and life of people all over the world, and the sports industry is facing unprecedented challenges due to its participation and strong clustering. Based on the questionnaire survey, literature analysis, and other research methods, this study introduces the stimulus-organism-response theory, takes the sports and consumption of Kunshan citizens as the research subject, and draws lessons from the structural equation model to build a theoretical (...) model of sports consumption characteristics and future consumption willingness. The results of empirical analysis show that physical sports consumption has been greatly affected by the epidemic, but because people realize the importance of sports, the willingness of residents to consume sports increases, and the venue and other factors affect the ornamental and participating sports consumption willingness decreases. At the same time, the restrictive factors, such as lower educational background, increased age, and lack of time, make the sports consumption willingness of this characteristic group significantly lower than that of other citizens. This study puts forward some suggestions for relevant government departments to improve the sports consumption willingness of citizens. In order to expand the development prospect of sports industry from a long-term perspective, it can provide reference for the development of sports consumption. (shrink)

We clarify different definitions of the density matrix by proposing the use of different names, the full density matrix for a single-closed quantum system, the compressed density matrix for the averaged single molecule state from an ensemble of molecules, and the reduced density matrix for a part of an entangled quantum system, respectively. We show that ensembles with the same compressed density matrix can be physically distinguished by observing fluctuations of various observables. This is in contrast to a general belief (...) that ensembles with the same compressed density matrix are identical. Explicit expression for the fluctuation of an observable in a specified ensemble is given. We have discussed the nature of nuclear magnetic resonance quantum computing. We show that the conclusion that there is no quantum entanglement in the current nuclear magnetic resonance quantum computing experiment is based on the unjustified belief that ensembles having the same compressed density matrix are identical physically. Related issues in quantum communication are also discussed. (shrink)

2002年度海南省社会科学研究资助课题 2001年度海南师范学院学术著作出版资助项目.

In another paper, one of us argued that emergence and reduction are compatible, and presented four examples illustrating both. The main purpose of this paper is to develop this position for the example of phase transitions. We take it that emergence involves behaviour that is novel compared with what is expected: often, what is expected from a theory of the system's microscopic constituents. We take reduction as deduction, aided by appropriate definitions. Then the main idea of our reconciliation of emergence (...) and reduction is that one makes the deduction after taking a limit of an appropriate parameter $N$. Thus our first main claim will be that in some situations, one can deduce a novel behaviour, by taking a limit $N\to\infty$. Our main illustration of this will be Lee-Yang theory. But on the other hand, this does not show that the $N=\infty$ limit is physically real. For our second main claim will be that in such situations, there is a logically weaker, yet still vivid, novel behaviour that occurs before the limit, i.e. for finite $N$. And it is this weaker behaviour which is physically real. Our main illustration of this will be the renormalization group description of cross-over phenomena. (shrink)