This study examines the determinants of corporate social responsibility (CSR) and its implications on firms’ investment policy, organizational strategy, and performance. First, we find that firms with better performance, higher R&D intensity, better financial health, and firms in new economy industries are more likely to engage in CSR activities, while riskier firms are less likely to do so. We also find U-shaped relation between firm size and CSR, indicating that either very small or very large firms exhibit high levels of (...) CSR strengths and concerns. Next, we find that firms’ CSR strengths relate favorably with their investments, organizational strategy, and performance, whereas CSR concerns and firm attributes are by and large negatively related. Using a 2SLS procedure, we verify that the CSR–performance relation is robust to corrections for endogeneity through reverse causation and/or biases introduced by time varying omitted variables. Finally, we find that the CSR–firm attributes relation is strengthened when the CEO’s incentives are below the sample median, suggesting that CSR participation is especially important when monetary incentives are lower than benchmark levels. (shrink)

Cooperative innovation has become a critical method for freight logistics firms in supply chain management. The previous study has proved that relational embeddedness has a positive effect on service innovation performance. However, the influence of organizational learning capacity has been widely ignored. This study focuses on explaining the mechanism of OLC on the relationship between RE and innovation performance of freight logistics service. Firstly, a theoretical model is constructed based on Social Network Theory, and four research hypotheses are presented. Secondly, (...) a sample of 236 respondents from freight logistics firms in China is analyzed to test the hypotheses. Finally, several management implications and recommendations are suggested. The research results demonstrate that both RE and OLC have positive effects on IPFLS. Meanwhile, OLC partially mediates the relationship between RE and IPFLS. The findings provide practical guidance for managers to strengthen the relationship with partners and enhance OLC. (shrink)

Collaborative filtering technology is currently the most successful and widely used technology in the recommendation system. It has achieved rapid development in theoretical research and practice. It selects information and similarity relationships based on the user’s history and collects others that are the same as the user’s hobbies. User’s evaluation information is to generate recommendations. The main research is the inadequate combination of context information and the mining of new points of interest in the context-aware recommendation process. On the basis (...) of traditional recommendation technology, in view of the characteristics of the context information in music recommendation, a personalized and personalized music based on popularity prediction is proposed. Recommended algorithm is MRAPP. The algorithm first analyzes the user’s contextual information under music recommendation and classifies and models the contextual information. The traditional content-based recommendation technology CB calculates the recommendation results and then, for the problem that content-based recommendation technology cannot recommend new points of interest for users, introduces the concept of popularity. First, we use the memory and forget function to reduce the score and then consider user attributes and product attributes to calculate similarity; secondly, we use logistic regression to train feature weights; finally, appropriate weights are used to combine user-based and item-based collaborative filtering recommendation results. Based on the above improvements, the improved collaborative filtering recommendation algorithm in this paper has greatly improved the prediction accuracy. Through theoretical proof and simulation experiments, the effectiveness of the MRAPP algorithm is demonstrated. (shrink)

Good balance between product and service is the key in the innovative design of product service systems. In this study, the evolution route of the PSS based on Teoriya Resheniya Izobretatelskikh Zadatch ideal final result was provided. The function model of the PSS was constructed according to the service blueprint and function system diagrams. On this basis, an innovation design method of the PSS based on function incentive was established. The function incentive strategies included function synergy, function supplement, and function (...) substitution. Finally, the PSS design process of agricultural machinery based on computer-aided innovation platform was analyzed to verify this method. (shrink)

Apoptosis proteins play an essential role in regulating a balance between cell proliferation and death. The successful prediction of subcellular localization of apoptosis proteins directly from primary sequence is much benefited to understand programmed cell death and drug discovery. In this paper, by use of Chou’s pseudo amino acid composition , a total of 317 apoptosis proteins are predicted by support vector machine . The jackknife cross-validation is applied to test predictive capability of proposed method. The predictive results show that (...) overall prediction accuracy is 91.1% which is higher than previous methods. Furthermore, another dataset containing 98 apoptosis proteins is examined by proposed method. The overall predicted successful rate is 92.9%. (shrink)

The use of technology and innovation in developing long-term global food security, and ensuring sustainable and adequate food production, is contextualized by values and controversies associated with food technologies. The framing and context of these technologies may impact on consumer perceptions and acceptance. In some countries this can influence policy decisions. Analysis of the public discourses on the themes of innovation, risk, power and control, and their socio-economic and ethical implications, is applied to explain the utility of novel and emerging (...) food technologies. Potential differences in stakeholder interests are taken into account in different economic and regulatory environments, contrasting Europe with the emerging economies of China and India. In the case of India, there is considerable public debate on finding a balance between various technological choices for food production, viz transgenic, traditional breeding and organic production. In China, the debate about technological innovation is driven largely by political and scientific elites with relatively little consumer debate. European agri-technological innovation is framed by ‘post-productivism’, which informs both implementation strategies and regulatory and governance issues. Economic values cannot be dismissed as irrelevant to the European innovation process, in particular in relation to investment and scientific endeavour. (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)

One aspect of the intellectual changes taking place in China in the late nineteenth and early twentieth centuries was the emergence of utilitarian ideas. Although it may be useful to think of modern Chinese thought from the perspective of the emergence of social Darwinism and nationalism, it is significant that the country's most progressive scholars at the turn of thecentury derived their inspiration from utilitarianism. Utilitarianism was accepted as a weapon with which to challenge traditional social, political, and cultural ideas, (...) and to justify social and political reforms. (shrink)

Mental illness stigma is imposed on patients in mental illness stigma mark, mainly referring to the disease and psychological stereotypes lead to the loss of social status and discrimination. Study confirmed the existence of stigma would prevent the patient's treatment and rehabilitation, stigma issues resulting widespread concern in the world health community, which is a hotspot of research on the impact of stigma. Labeling theory and theories of stigma affect the correct label for the analysis of the mechanism; stigma of (...) mental illness and related populations of the various effects can be measured in two ways: public stigma and self-stigma; protest, education and exposure is to reduce the stigma effective way. Chinese culture in the future to carry out the stigma of mental illness, should be closely combined with the stigma of traditional culture analysis of the impact mechanism, and should explore the feasibility of stigma strategies. Mental illness stigma is an ashamed mark attached to people with mental illness, which is the status loss and discrimination triggered by negative stereotypes about people labeled as having mental illness. Some researches have showed that stigma may impede the treating and rehabilitating process of clients. The effect of mental illness stigma is currently a hot subject of research. Labeling theory and modified labeling theory are both the theories of the mechanism of the effect of stigma. Researchers investigate the effects of stigma and the ways of diminishing it from two aspects: public- stigma and self-stigma. The future research orientations in China should be combined with culture analysis. (shrink)

The equity pledge has become a universal practice in the world. Taking Chinese listed companies from 2007 to 2020 as a sample, this paper investigates the influence of controlling shareholders’ equity pledges on M&A behavior. It is found that the probability of M&A of listed companies is greater when the controlling shareholder has an equity pledge. M&A activities can raise the stock price and play the role of market value management. Controlling shareholders with margin call pressure have stronger motivation to (...) use M&A to increase their share price. Investors seem to be aware of this behavior and underestimate the potential benefits of M&A under this pressure. Propensity score matching and difference in difference were used to test endogeneity and the results were still robust. Overall, our results reveal the impact of equity pledges by controlling shareholders on M&A. Furthermore, margin call pressure, this organizational psychology promotes this possibility. (shrink)

Cet article étudie les moyens d’argumentation dans les lettres familières rédigées par les apprenants sinophones du français langue étrangère de niveau B2. Les lettres sont contrastées à celles des francophones et des sinophones natifs représentant un groupe de contrôle. Les résultats montrent certains contrastes entre les groupes des natifs. Quant aux apprenants, on voit qu’ils utilisent en partie les mêmes stratégies argumentatives que les francophones, mais on atteste également des influences de leur langue maternelle dans le choix des procédés persuasifs.

Third-party fairness maintenance could win some reputational benefits, and it includes two methods: punishment and compensation. We predicted that the third parties' preference between punishment and compensation are affected by whether they are free to choose between the two methods, and the affection could be interpreted through reputational benefits. The present study includes two sections. In Study 1, the participants acted as fourth parties who were asked to rate the reputations of the third parties who had chosen different response methods (...) to an unfair result of the dictator game. The results showed that there was no reputational difference between the two methods when third parties were not free to choose, but the reputation of compensation was better when third parties were free to choose. In Study 2, the participants acted as third parties. The participants were asked to choose a method to respond to an unfair result of the dictator game. There were two reputational contexts: secret and open. The results showed that when third parties were not free to choose, they had no preference between the two methods under the two reputational contexts, but when third parties were free to choose freely, they prefer punishment under the secret context but prefer compensation under the open context. This study systematically reveals a reputational interaction between fourth and third parties, and verifies the affection of reputational benefits on the third parties' preference between punishment and compensation. (shrink)

PurposeCollege students in the pandemic area are experiencing the problems caused by COVID-19 by themselves or people around them, how to cope with the sudden changes and adjust the psychological stress response, and get experience and grow in the fight against the pandemic is a question worth in-depth discussion. The researchers constructed a mediated regulation model to examine the effects of intrusive rumination on the creativity of college students during the COVID-19 pandemic, as well as the mediating effect of post-traumatic (...) growth and the moderating role of psychological resilience.MethodsA sample of 475 university students from Guangdong Province, China, were surveyed with the Runco Ideational Behavior Scale, the Event Related Rumination Inventory, the Posttraumatic Growth Inventory, and the Psychological Resilience Scale. SPSS and PROCESS were used for correlation analysis, mediation analysis, and mediated moderation analysis.Results Intrusive rumination was positively correlated with post-traumatic growth and creativity but negatively correlated with psychological resilience. Psychological resilience was positively correlated with post-traumatic growth and creativity. Post-traumatic growth and creativity were positively correlated. Post-traumatic growth played a mediating role in the relationship between intrusive rumination and creativity. Psychological resilience moderated the first half of the pathway “intrusive rumination → post-traumatic growth → creativity.”ConclusionIntrusive rumination affected creativity directly and also indirectly through post-traumatic growth. At the same time, psychological resilience played a moderating role between intrusive rumination and creativity. The correlation between intrusive rumination and post-traumatic growth was stronger when levels of psychological resilience levels were higher. (shrink)

Time preference reversals refers to systematic inconsistencies between preferences and valuations in intertemporal choice. When faced with a pair of intertemporal options, people preferred the smaller-sooner option but assign a higher price to the larger-later one. Different hypotheses postulate that the differences in evaluation scale or output format between the choice and the bid tasks cause the preference reversal. However, these hypotheses have not been distinguished. In the present study, we conducted a hybrid task, which shares the same evaluation scale (...) with the bid task and shares the same output format with the choice task. By comparing these three tasks, we can figure out the key reason for time preference reversal. The eye-tracking measures reflecting attention allocation, cognitive effort and information search pattern were examined. Results showed that participants' time preference and eye-tracking measures in the hybrid task were similar to those in the choice task, but different from those in the bid task. Our findings suggest that the output format is the core reason for time preference reversal and may deepen our understanding of the mechanisms that underlie time preference reversal. (shrink)

This research investigates an integrated problem of construction scheduling and resource allocation. Inspired by complex construction practices, multi-time scale resources are considered for different length of terms, such as permanent staff and temporary workers. Differing from the common stochastic optimization problems, the resource price is supposed to be an uncertain parameter of which probability distribution is unknown, but observed data is given. Hence, the problem here is called Data-Driven Construction Scheduling and Multiscale Resource Allocation Problem. Based on likelihood robust optimization, (...) a multiobjective programming is developed where project completion time and expected resource cost are minimized simultaneously. To solve the problem efficiently, a double-layer metaheuristic comprised of Multiple Objective Particle Swarm Optimization and interior point method named MOPSO-interior point algorithm is designed. The new solution presentation scheme and decoding process are developed. Finally, a construction case is used to validate the proposed method. The experimental results indicate that the MOPSO-interior point algorithm can reduce resource cost and improve the efficiency of resource utilization. (shrink)

Emotional creativity refers to a set of cognitive abilities and personality traits related to the originality of emotional experience and expression. Previous studies have found that emotional creativity can positively predict posttraumatic growth and mental health. The outbreak of coronavirus disease 2019 has posed great challenges to people’s daily lives and their mental health status. Therefore, this study aims to address the following two questions: whether emotional creativity can improve posttraumatic growth and mental health during the COVID-19 pandemic and how (...) it works. To do this, a multiple mediation model has been proposed, which supposes that emotional creativity is associated with posttraumatic growth and mental health through perceived social support and regulatory emotional self-efficacy. The study involved 423 participants from multiple regions with different COVID-19 involvement levels. Participants were asked to complete a questionnaire with six parts, which included Emotional Creativity Inventory, Regulatory Emotional Self-Efficacy Scale, Stress-Related Growth Scale-Short Form, Multidimensional Scale of Perceived Social Support scale, Brief Symptom Inventory-18 scale, and COVID-19-related life events questionnaire. Path analysis used to examine the mediation model indicated that under the control of COVID-19-related life events and age, perceived social support mediated a positive association between emotional creativity and posttraumatic growth as well as a negative association between emotional creativity and all mental health problems, including somatization, depression, and anxiety. Regulatory emotional self-efficacy mediates the association between emotional creativity and posttraumatic growth, emotional creativity and anxiety, and emotional creativity and depression. The results suggest that emotional creativity plays an important role in coping with stressful events related to COVID-19. Furthermore, these results might provide a better understanding of the possible paths through which emotional creativity is related to psychological outcomes, such as mental health and posttraumatic growth. (shrink)

The real-time and high-continuity requirements of the edge computing network gain more and more attention because of its active defence problem, that is, a data-driven complex problem. Due to the dual constraints of the hybrid feature of edge computing networks and the uncertainty of new attack features, implementing active defence measures such as detection, evasion, trap, and control is essential for the security protection of edge computing networks with high real-time and continuity requirements. The basic idea of safe active defence (...) is to make the defence gain more significant than the attack loss. To encounter the new attacks with uncertain features introduced by the ubiquitous transmission network in the edge computing network, this paper investigates the attack behaviour and presents an attack-defence mechanism based on game theory. Based on the idea of dynamic intrusion detection, we utilize the game theory in the field of edge computing network and suggest a data-driven mimicry intrusion detection game model-based technique called GLIDE. The game income of participants and utility computing methods under different deployment strategies are analysed in detail. According to the proof analysis of the Nash equilibrium condition in the model, the contradictory dynamic game relationship is described. Therefore, the optimal deployment strategy of the multiredundancy edge computing terminal intrusion detection service in the edge computing network is obtained by solving the game balance point. The detection probability of the edge computing network for network attacks is improved, and the cost of intrusion detection of the edge computing network is reduced. (shrink)

The current study aimed to explore how family atmosphere influenced pro-social behavior among Chinese college students and to explore the mediation roles of gratitude and self-efficacy. We recruited 800 Chinese college students, and the participation rate was 89%. Participants completed the family atmosphere scale, the pro-social tendencies measure, the gratitude questionnaire, and the general self-efficacy scale. Results indicated that Family atmosphere, gratitude, self-efficacy, and pro-social behavior were positively correlated after controlling for the grade, gender, and age. The family atmosphere affected (...) pro-social behavior not only directly, but also indirectly through the partial mediating role of gratitude and self-efficacy. Moreover, gratitude and self-efficacy also played a full chained mediation role in the relationship between the family atmosphere and pro-social behavior of college students. Therefore, a supportive family atmosphere is conducive to promoting college students’ gratitude and self-efficacy, in turn affecting their pro-social behavior. (shrink)

With the rapid development of urban economy and the acceleration of urbanization, the demand for urban traffic is increasing rapidly. The single traffic-oriented planning does not take into account the requirements of traffic development on resources and the impact on the environment. The traffic construction of most cities can not fully meet the standard of ecotype. In this paper, the vehicle distribution route optimization problem under multiresource constraints such as vehicle energy capacity and vehicle loading capacity is studied, and the (...) static and dynamic models of distribution route optimization under multiresource constraints are established. In the static distribution route optimization model, the distribution route optimization problem with subloops is solved by modifying the network structure and adding virtual resource points. In the dynamic model, the spatiotemporal network model is used to avoid the generation of subloops, and the description of the vehicle distribution route planning problem is more intuitive and accurate. The model enriches the vehicle distribution route selection scheme at the cost of expanding the model scale. And it can solve the time when the vehicle arrives and leaves the customer point. This paper provides a good countermeasure for solving the environmental and social problems in the transportation system under the condition of resource constraints. (shrink)

The multiport DC-DC power converter is a prominent area of research in power electronics due to its highly dense design, reduced device count, and high energy efficiency. In this paper, a nonisolated single magnetic element-based high step-up three-port converter for an energy storage system is presented. The proposed converter has two input ports and one output port. The coupled inductor with switched capacitor is used to achieve high voltage gain. The key features of the proposed converter are high conversion gain, (...) low voltage stress, zero voltage switching, and zero current switching. The detailed theoretical analysis and operation of the converter are elaborated. The energy efficiency of the proposed converter is calculated and compared with the other counterparts. Ansys Maxwell is used for the coupled inductor finite element modeling. To verify the applicability and functionality of proposed converter, a 100 W converter with two inputs and one output 360 V at 100 kHz is tested in the laboratory. (shrink)

With the continuous development of software, it is inevitable that there will be various unpredictable problems in computer software or programs that will damage the normal operation of the software. In the paper, static analysis software is taken as the research object, the errors or failures caused by the potential defects of the software modules are analyzed, and a software analysis method based on big data tendency prediction is proposed to use the software defects of the stacked noise reduction sparse (...) analyzer to predict. This method can learn features from original defect data, directly and efficiently extract required features of all levels from software defect data by setting different number of hidden layers, sparse regularization parameters, and noise ratio, and then classify and predict the extracted features by combining with big data. Through experimental tests, the performance of the presented method is better than that of the comparison method in correct rate, accuracy rate, recall rate, F1-measurement, AUC value, and running time, which proves that the research results in this paper have more accurate failure prediction effect and can timely eliminate software failures. (shrink)