ObjectiveTo investigate the attitudes of Chinese parents regarding the storage of dried blood spots collected for newborn screening (NBS) and their use in research.MethodsWe conducted a hospital-based survey of parents and examined parental attitudes regarding (a) allowing NBS sample storage, (b) permitting use of children’s NBS samples for research with parental permission, and (c) permitting use of children’s NBS samples for research without parental permission.ResultsThe response rate was 52 percent. Of parents surveyed, 68 percent would permit their infant’s NBS sample (...) to be stored for at least some length of time. If permission is obtained, 69 percent of parents “strongly agreed” or “agreed” to permit use of the NBS sample for research. If permission is not obtained, only 14 percent of parents “strongly agreed” or “agreed.” There was no significant association between permitting use of NBS samples for research and parental gender, education, household income, number of children, or site of residence.ConclusionsThis is the first survey of Chinese parents regarding the use of NBS samples for different types of research, with results indicating that most parents would permit their infant’s sample to be stored and would support the use of NBS dried blood spots for research purposes. (shrink)

BackgroundBoosting the individual learning passion of medical students is a novel approach to improve their academic performance. It facilitates the medical education reform, motivating both policymakers and educators to focus on the function of positive psychology in the career development of medical students. Therefore, this study aimed to assess the status of two types of learning passion; to clarify the relationship between self-esteem and two types of learning passion among Chinese medical students; to examine the mediating role of psychological capital (...) in the relationship between self-esteem and two types of learning passion, respectively; and to identify the moderating role of professional identity in the relationship between PsyCap and two types of learning passion, respectively.MethodsA cross-sectional online survey was conducted from April to June 2016 in China. A total of 1,218 valid questionnaires were collected from four medical schools.ResultsSelf-esteem significantly and positively influenced medical students’ PsyCap.ConclusionTwo types of learning passion of medical students are positively influenced by self-esteem and PsyCap. Medical students with high-level self-esteem should possess strong PsyCap, which augments their harmonious as well as obsessive learning passion. Moreover, the positive effect of medical students’ PsyCap on harmonious learning passion is more notable among those with a lower professional identity. Finally, this study argues that strengths-based interventions of self-esteem and PsyCap are a beneficial approach for future enhancing learning passion in the domain of medical education. (shrink)

The sizes of individual data files have steadily increased along with rising demand for customized services, leading to issues such as low efficiency of web-based geographical information system -based data compression, transmission, and rendering for rich Internet applications in complicated visualization systems. In this article, a WebGIS-based technical solution for the efficient transmission and visualization of meteorological big data is proposed. Based on open-source technology such as HTML5 and Mapbox GL, the proposed scheme considers distributed data compression and transmission on (...) the server side as well as distributed requests and page rendering on the browser side. A high-low 8-bit compression method is developed for compressing a 100 megabyte file into a megabyte-scale file, with a compression ratio of approximately 90%, and the recovered data are accurate to two decimal places. Another part of the scheme combines pyramid tile cutting, concurrent domain name request processing, and texture rendering. Experimental results indicate that with this scheme, grid files of up to 100 MB can be transferred and displayed in milliseconds, and multiterminal service applications can be supported by building a grid data visualization mode for big data and technology centers, which may serve as a reference for other industries. (shrink)

Tradition wireless sensor networks transmit data by single or multiple hops. However, some sensor nodes close to a static base station forward data more frequently than others, which results in the problem of energy holes and makes networks fragile. One promising solution is to use a mobile node as a mobile sink, which is especially useful in energy-constrained networks. In these applications, the tour planning of MS is a key to guarantee the network performance. In this paper, a novel strategy (...) is proposed to reduce the latency of mobile data gathering in a WSN while the routing strategies and tour planning of MS are jointly optimized. First, the issue of network coverage is discussed before the appropriate number of clusters being calculated. A dynamic clustering scheme is then developed where a virtual cluster center is defined as the MS sojourn for data collection. Afterwards, a tour planning of MS based on prediction is proposed subject to minimizing the traveling distance to collect data. The proposed method is simulated in a MATLAB platform to show the overall performance of the developed system. Furthermore, the physical tests on a test rig are also carried out where a small WSN based on an unmanned aerial vehicle is developed in our laboratory. The test results validate the feasibility and effectiveness of the method proposed. (shrink)

Background: Individuals’ information processing includes automatic and effortful processes and the latter require sustained concentration or attention and larger amounts of cognitive “capacity.” Event-related potentials reflect all neural activities that are related to a certain stimulus. Investigating ERP characteristics of effortful cognitive processing in people with schizophrenia would be helpful in further understanding the neural mechanism of schizophrenia.Methods: Both schizophrenia patients and health controls completed ERP measurements during the performance of the basic facial emotion identification test and the face-vignette task. (...) Data of ERP components, BFEIT and FVT performances were analyzed.Results: Schizophrenia patients’ accuracies of face emotion detection in the BFEIT and vignette emotion detection in the FVT were both significantly worse than the performance of the HC group. Repeated-measures ANOVAs performed on mean amplitudes and latencies revealed that the interaction effect for group × experiment × site was significant for N250 amplitude. In FVT experiment, N250 amplitudes at prefrontal and frontal sites in schizophrenia group were larger than those of HC group; the maximum N250 amplitude was present at the prefrontal site in both the groups. For N250 latency, the interaction effect for group × experiment was significant; N250 latencies in the schizophrenia group were longer than those of the HC group.Conclusion: Schizophrenia patients present effortful cognitive processing dysfunctions which reflect in abnormal ERP components, especially N250 at prefrontal cortex and frontal cortex sites. These findings have important implications for further clarifying the neural mechanism of effortful cognitive processing deficits in schizophrenia. (shrink)

Mr. Tang Junyi is the son of the great scholar of Sichuan, Mr. Tang Difeng. As a child, he received much of the nurturing influence of the scholarship in his family; he was a wise young man from a very tender age, with many unusual thoughts. Since the publication of his essay "The theory of Nature in Xun Zi's Thought" when he was fifteen years old and still in middle school, Mr. Tang has pursued the road of a scholar and (...) a thinker with the utmost dedication, as indefatigably today, after several decades, as if it were only the beginning. In the end, with his accomplishments of moral conduct and wisdom, his widespread and profound influence as a teacher, and his magnificent accomplishments in scholarship, he has established an unmatched reputation among academic circles both at home and abroad, and has become an epoch-making philosopher of contemporary China who has stood far above his generation, remained unbent and unsubdued by the test of time, and has established his own school of thought for the ages. (shrink)

Ben shu dui Luling Wang xue de yan jiu, zhu yao cong yi xia liang fang mian zhan kai: shou xian, zhong dian jie shao le ti chu Luling Wang xue de li lun yi ju he Luling Wang xue fa zhan de ge ge jie duan de jie ding, te dian ji qi zhu yao de dai biao ren wu. Qi ci, ju ti lun shu le Luling Wang xue fa zhan de ge ge jie (...) duan de zui zhu yao dai biao ren wu de zhi xue li lu, xin xue si xiang, jing xue te dian. Tong guo dui Luling Wang xue zong ti shang de yan jiu, gai kuo he zheng li yi ji dui ge ge fa zhan jie duan zhu yao de dai biao ren wu Wang xue si xiang de bu tong shi jiao de tan tao chan fa, cong zong ti shang rang shi ren jiao wei xi tong de liao jie Luling Wang xue de gai mao ji qi cao chuang, fa zhan, ding sheng ji shi wei de li shi guo cheng he zhong yao dai biao ren wu de Wang xue si xiang. Tong shi, zai qian mian yan jiu de ji chu shang, dui Luling Wang xue zai Jiang you Wang xue nai zhi Yangming hou xue fa zhan guo cheng zhong de zhong yao di wei yi ji dui zhong wan Ming ru xue si xiang fa zhan de ying xiang zuo le zong jie. (shrink)

Ben shu gong you ba jiang zu cheng, fen bie shi sheng ren bi ke xue er zhi, Wang Yangming de xin xue ti xi, shi gong yu bing xue, wen xue si xiang yu shi wen chuang zuo, jiao yu si xiang yu shi jian, Yangming hou xue, Yangming xue zai jin xian dai de ying xiang, Yangming wen hua yu Guizhou lü you. Mei ge lun ti lun shu ji zhong, shen du shi zhong, xu shu xing (...) yu yan tong su liu chang, gu shi xing qiang, hen shi he da zhong du zhe yue du. wei qi fa du zhe si kao, zeng qiang yue du xiao guo, zai mei yi jiang zhi hou shi liang she zhi le yi xie ming ci jie shi, jian da tao lun ti. ling pei he xiang guan wen zi, she zhi le yi xie tu pian, bei ke he Yangming shu fa zuo pin deng, ju you ji jia de guan shang xing. (shrink)

Ben shu nei rong bao kuo: ren lei wei he ru ci duo shi; dong fang gu dian de Afanda Wutuobang; sheng ren jiu jing wei shui xiao lao; zhi li de xian du yu xu wei you guo lun; deng gao si wang, man mu zhu ji hai shi man mu la ji; nan yi yong yu yan wen zi biao da yu chuan shou de da dao deng.

Crowdsourcing innovation community has become an important platform for enterprises to gather group wisdom. However, how the crowdsourcing innovation community plays a reference role in creative crowdsourcing participation is unclear. Based on the reference group theory, taking online impression management as the explanatory framework, this study explores the impact of crowdsourcing innovation community reference on the creative territory behavior, and the differences in the crowdsourcing innovation community reference effect among members of different community age groups. A total 524 valid two-stage (...) questionnaires were collected. The empirical analysis results show that under the influence of informational reference and utilitarian reference of the crowdsourcing innovation community, community members are significantly more likely to adopt acquired impression management than defensive impression management ; under the influence of value expressive reference of the crowdsourcing innovation community, the possibility of adopting DIM behavior is significantly greater than that of adopting AIM behavior; compared with DIM behavior, AIM behavior has a more inhibitory effect on creative territory behavior. Interestingly, there are different community reference effects among members of different community age groups. In particular, the positive contribution of the elder members is not as good as that of the newcomers. The above research conclusions not only confirm the influence of crowdsourcing community reference on crowd participation decision making but also provide theoretical and practical enlightenment for exploring the cooperation mechanism of crowdsourcing innovation. (shrink)

The process of gene expression is affected by many extracellular stimulus signals, and the stochasticity of these signals reshapes gene expression. To adapt the fluctuation of the extracellular environment, genes have many strategies for augmenting their survival probability, frequency modulation, and amplitude modulation. However, it is unclear how genes utilize the stochasticity of signals to regulate gene expression and which strategy will be chosen to maximize cellular function. Here, we analyze a simple mechanistic model to clarify the effect of extracellular (...) random input on gene expression and burst kinetics at different timescales. We can see that in different contexts, extracellular noise has different effects on downstream gene expression, effects which include the following: extracellular noise will make the ON-OFF-state dwell time drift, which will influence the burst frequency and burst size of downstream gene expression under different modulation paradigms; comparing the burst parameter or gene expression products under different modulation paradigms, we can see that the amplitude signal is more sensitive in the case of extracellular noise input, whereas the signal in noiseless conditions is more sensitive when the random input is a fast process, which indicates that the amplitude signal is a superior and common signal in gene expression; and extracellular random input will change the bimodality for gene expression, but its influence is different for gene expression products under different modulation paradigms. These qualitative results reveal that extracellular random input can prompt the gene to achieve its function quickly under different modulation paradigms. (shrink)

The study aims to explore the entrepreneurship education of overseas Chinese returnees with the swindler syndrome through psychological resilience. First, a questionnaire survey is conducted to analyze the current situations of entrepreneurship education of overseas Chinses returnees and college students, and it is found that the entrepreneurship education received by overseas Chinese returnees is more advanced and perfect than that by domestic students, which makes overseas Chinese returnees have the ability to solve the problems in the process of entrepreneurship, realizing (...) their entrepreneurial dream. However, the emergence of swindler syndrome changes the self-awareness and psychology of these returnees, which is improved through appropriate entrepreneurship education under resilience analysis. The results show that entrepreneurial resilience and entrepreneurial optimism covered by psychological resilience have a significant positive impact on entrepreneurial intention, indicating that entrepreneurial resilience and entrepreneurial optimism can enhance individual’s entrepreneurial intention. The scores of the subjects with the experience of studying abroad are higher than those without such experience, indicating that overseas Chinese returnees have stronger resilience and more optimistic attitudes in the face of difficulties and setbacks, which provides a new perspective for in-depth analysis of Chinese returnees’ entrepreneurship education and promotes the development of entrepreneurship education in colleges and universities in China. (shrink)

In social networks, individual heterogeneity is widely existed, and an individual often tends to contact more frequently with friends of similar status or opinion. It is worth noting that the contact preference characteristic among heterogeneous individuals will have a significant effect on social contagions. Thus, we propose a social contagion model which takes the heterogeneity of individual influence and contact preference into account, and make a theoretical analysis of the social spreading process by developing an edge-based compartmental theory. We find (...) that the competition between simple contagion and complex contagion leads to the emergence of crossover phase transition phenomena when the influence of ordinary individuals is low: it changes from being hybrid to continuous, then to hybrid, and eventually to continuous phase transition with the increase of the contact probability of homogeneous individuals. However, it changes from being first-order to continuous phase transition when the influence strength of ordinary individuals is relatively high. In addition, there is an optimal value or range of contact probability of homogeneous individuals which maximizes the spreading size, and the optimal value or lower bound of the optimal range decreases with the increase of transmission probability. Our theoretical prediction results are in good agreement with the simulation results. (shrink)

In this paper, we put forward a time-delay ecological competition system with food restriction and diffusion terms under Neumann boundary conditions. For the case without delay, the conditions for local asymptotic stability and Turing instability are constructed. For the case with delay, the existence of Hopf bifurcation is demonstrated by analyzing the root distribution of the corresponding characteristic equations. Furthermore, by using the normal form theory and the center manifold reduction of partial functional differential equations, explicit formulas are obtained to (...) determine the direction of bifurcations and the stability of bifurcating periodic solutions. Finally, some simulation examples are provided to substantiate our analysis. (shrink)

As the sensitivity to corporate social responsibility continues to grow, the goal of enterprises has expanded beyond the sole pursuit of economic value. Corporate social goal orientation has therefore come to occupy a central position in entrepreneurs’ psychology and the transition away from a market-only economy. This study uses secondary data from 4,288 samples of 725 Chinese-listed companies from 2009 to 2020 to explore the driving factors in social goal orientation based on the characteristics of sample companies and their industry (...) groups from the perspective of stakeholder relationships. The results can be summarized as follows: there is an inverted U-shaped relationship between government stakeholder relationships and social goal orientation, and there is a significant positive relationship between financial stakeholder relationships, market stakeholder relationships, and corporate social goal orientation. The correlation between single-dual stakeholder relationships and social goal orientation is not consistent. In light of the nature of the roles of government and the market, the correlation between the government–market dual relationship and corporate social goal orientation is not significant. However, there is a significant correlation between the finance–government dual stakeholder relationship and social goal orientation; that is, the dual stakeholder relationship maintains the existence of non-institutional capital and corporate financial capital. Moreover, there is no significant correlation between the market–finance dual relationship and corporate social goal orientation, and there is substitutability between market and financial stakeholder relationships. With the deepening of our understanding of CSR, the core goal of enterprises is no longer confined to the pursuit of economic value, and their social goal orientation has come to be regarded as a major driving force in sustainable development. This study enriches the research on the relationship between stakeholder relationships and shows that stakeholder relationships also have important significance to both achieving corporate goals and shaping entrepreneurs’ psychology. (shrink)

Neuromarketing is an emerging research field for prospective businesses on consumer’s preference. Consumer’s preference prediction based on electroencephalography can reliably predict likes or dislikes of a product. However, the current EEG prediction and classification accuracy have yet to reach ideal level. In addition, it is still unclear how different brain region information and different features such as power spectral density, brain asymmetry, differential entropy, and Hjorth parameters affect the prediction accuracy. Our study shows that by taking footwear products as an (...) example, the recognition accuracy of product likes or dislikes reaches 94.22%. Compared with other brain regions, the features of the frontal and occipital brain region obtained a higher prediction accuracy, but the fusion of the features of the whole brain region could improve the prediction accuracy of likes or dislikes even further. Future work would be done to correlate the EEG-based like or dislike prediction results with product sales and self-reports. (shrink)

Based on multiteam system theory and creativity theory, this study explores the influencing factor model of multiteam digital creativity in the action phase through two cross-validation studies, filling a theoretical gap and responding to the research call. Study 1 is a qualitative analysis method to fully explore the relevant influencing factors and enhance the theoretical saturation. Study 2 is an optimized DEMATEL method, known as the CL-WG DEMATEL analysis method, which cross-validates the new theoretical model and measures the centrality of (...) the influencing factors. This study finds that the influence factor model of MTDC has eight major factors and distributes in four different levels. Further analysis shows that the three influences with the highest centrality of impact on MTDC all belong to the collective level, which indicates the uniqueness of the action phase of the performance episodes. The two cross-validation studies enhance the scientific validity of the new theoretical exploration. In addition, Theoretical and practical implications of the results are presented, and future directions for research are discussed. (shrink)

ObjectivesThis study aims to systematically analyze the effects of mind–body exercises on post-traumatic stress disorder symptoms, depression, and anxiety in patients with PTSD. Furthermore, it intends to provide scientific evidence-based exercise prescriptions.MethodsChinese and English databases were used as data sources to search for studies on the effects of mind–body exercises on symptoms associated with patients with PTSD from January 1980 to November 2020. After a rigorous screening, 16 eligible randomized controlled trials were included in the meta-analysis.ResultsMind–body exercises exerted a significant (...) effect on PTSD symptoms [standard mean difference = −0.41, 95% confidence interval −0.64 to −0.19, p < 0.001], depression, and anxiety among patients with PTSD. Subgroup analysis demonstrated that 60–150 min per session for 8–16 weeks of mindfulness was more effective in improving symptoms in patients with PTSD under 45 years of age compared with other subgroups. For depression, 150–180 min of yoga exercises once per week was effective. For anxiety, the frequency, timing, duration, and type of mind–body exercises that are most effective in relieving anxiety in patients with PTSD cannot be determined at this time due to the limited number of eligible RCTs.ConclusionsMind–body exercises were found to be significantly effective in improving PTSD symptoms, depression, and anxiety in patients with PTSD. Therefore, they can be used as an adjunct to intervention for symptoms of patients with PTSD. However, this conclusion requires further confirmation through additional scientific and objective RCTs.Systematic Review Registration:Unique Identifier: INPLASY2020120072. (shrink)

With the rapid development of sensor technology for automated driving applications, the fusion, analysis, and application of multimodal data have become the main focus of different scenarios, especially in the development of mobile edge computing technology that provides more efficient algorithms for realizing the various application scenarios. In the present paper, the vehicle status and operation data were acquired by vehicle-borne and roadside units of electronic registration identification of motor vehicles. In addition, a motion model and an identification system for (...) the single-vehicle lane-change process were established by mobile edge computing and self-organizing feature mapping. Two scenarios were modeled and tested: lane change with no vehicles in the target lane and lane change with vehicles in the target lane. It was found that the proposed method successfully identified the stochastic parameters in the process of driving trajectory simulation, and the standard deviation between simulation and the measured results obeyed a normal distribution. The proposed methods can provide significant practical information for improving the data processing efficiency in automated driving applications, for solving single-vehicle lane-change applications, and for promoting the formation of a closed loop from sensing to service. (shrink)

IntroductionNew nurses struggled with time management, which was a prominent theme in safety care for patients. However, the transition training of time management for new nurses was complicated and ignored by clinical managers. The purpose of this study was to understand the level of new nurses’ TMD from a nationwide perspective and detect the influencing factors of the TMD.Materials and methodsA cross-sectional study design with a stratified sampling method was sampled in China. Six hundred and seventy new nurses within the (...) first year of employment were recruited. New nurses’ time management disposition, job stressors, self-efficacy, clinical communication competence, and safety behavior were measured by corresponding scales.ResultsNew nurses showed the best sense of time’s value, followed by the sense of time efficacy and time monitoring view for time management disposition. The related factors of time management disposition were communication skills, safety behavior, job stressors, and being without a preceptor. New nurses’ time management disposition was at a moderate level and they performed worse in time allocation. The highest education, with or without a preceptor, the experience of part-time jobs, and class cadre were significantly influencing the time management disposition of new nurses.ConclusionNursing managers should pay attention to new nurses’ time management disposition. Reducing the job stressors, improving communication ability, and safe behavior were important measures to improve the time management disposition. (shrink)

Background: Moral distress occurs when nurses experience ethical dilemmas. Issues related to these dilemmas are addressed in some nursing education courses. Nurses’ reaction to dilemma such as moral distress is relatively less noticed. Objective: This study aimed to identify and describe the various types of perceptions of moral distress exhibited by nurses. Research design: This study applied Q methodology to explore the perspectives of nurses regarding moral distress. Data were collected in two stages. First, in-depth interviews were conducted to collect (...) nurses’ opinions. Sentences that best fit the concepts of moral distress were extracted for the construction of Q statements. Second, nurses subjectively ranked these Q statements so that the relevant severity of moral distress could be determined using Q sorts. The study participants were nurses at a regional teaching hospital in northeast Taiwan. A total of 60 participants were invited to rank 40 moral distress Q statements. Ethical considerations: The study protocol was approved by the institutional review board of National Yang-Ming University Hospital. Only the participants who signed an informed consent form participated in the study. The respondents’ right to withdraw from the study was respected. Findings: Five types of responses were identified regarding the nurses’ perspectives. These types were “conflict with personal values,” “excessive of workload,” “curbing of autonomy,” “constraint engendered by organizational norms,” and “self-expectation frustration.” Conclusion: The findings regarding nurses’ experiences of moral distress can be used to construct multifaceted policies and solutions and to incorporate ethical education in training programs. (shrink)

This study was designed to estimate the associations between self-efficacy and professional identity. A total of 1,051 freshmen nursing students from the Be Resilient to Nursing Career program were recruited from four universities between September and November 2020. A latent profile and moderated meditation analysis were performed. Four profiles of self-efficacy were identified and named as Lowest, Med-low, Med-high, and Highest. The mediating role of resilience and the moderating effect of role models were also identified. Therefore, self-efficacy, resilience, and role (...) models may be three important factors to professional identity in FNSs and these relationships should be further validated in longitudinal or interventional studies. (shrink)

Background: The comorbidity of posttraumatic stress disorder and depression is common among people living with the HIV. Given the high prevalence and serious clinical consequences of the comorbidity of these two disorders, we conducted a latent profile analysis to examine the co-occurrence pattern of PTSD and depression in PLWH.Methods: The data for this cross-sectional study of PLWH were collected from 602 patients with HIV in China. A secondary analysis using latent profile analysis was conducted to examine HIV-related PTSD and depression (...) symptoms.Results: A four-class solution fits the data best, with the four classes characterized as asymptomatic, mild symptoms, low to moderate symptoms, and high to moderate symptoms. The severity of PTSD and depression symptoms was comparable in this solution, and no group was dominated by PTSD or depression.Conclusion: The absence of a distinct subcluster of PLWH with only PTSD or depression symptoms supports that PTSD and depression in PLWH are psychopathological manifestations after traumatic exposures. Health care staff should pay more attention to the existence of comorbid symptoms of individuals, develop integrated interventions for the symptoms cluster, and evaluate their effectiveness in clinical practice. (shrink)

Attentional biases have received considerable focus in research on cognitive biases and body dissatisfaction (BD). However, most work has focused on spatial allocation of attention. The current two experiments employed a rapid serial visual presentation (RSVP) task to investigate the temporal allocation of attention to body-related words among young females with high and low BD. Experiment 1 assessed the stimulus-driven attention of body-related stimuli. Participants identified a neutral second target (T2) as accurately as possible while ignoring the preceding neutral, fat-, (...) or thin-related first target (T1). As expected, we observed spontaneous attentional blink effects elicited by fat- and thin-related T1s among participants with high BD, suggesting enhanced awareness of body-related stimuli even when this information does not have to be identified. Such effects did not emerge among participants without BD. Experimental 2 investigated the goal-directed attention of body-related stimuli, during which participants needed to identify both the T1 and neutral T2. Participants with BD showed reduced attentional blink effects after both fat- and thin-related T1, suggesting facilitated consolidation of body-related information in goal-directed attention among participants with BD. The findings may have important clinical implications for understanding how to decrease and even prevent body image dissatisfaction. (shrink)

From the perspective of entrepreneurial team processes, this study examines the effect of dynamic team environment on entrepreneurial team innovation. Through applying the uncertainty reduction theory and group process theory, this study proposes the influence mechanism and boundary condition of the relationship between dynamic team environment on entrepreneurial team innovation. By analyzing a sample of 270 entrepreneurial teams in China, this study found that dynamic team environment could evoke entrepreneurial team innovation via triggering team members’ agreement seeking behavior and then (...) promoting team knowledge integration. In addition, team centralization of decision making can weaken the relationship between agreement seeking behavior and team knowledge integration. Our findings contribute to a better understanding of entrepreneurial teams’ reactions to dynamic environment and the multistep mechanism that transfers the impact of dynamic team environment to entrepreneurial team innovation through team members’ reactions and team interactions. (shrink)

With the rapid development of Internet of Things technology, RFID technology has been widely used in various fields. In order to optimize the RFID system hardware deployment strategy and improve the deployment efficiency, the prediction of the RFID system identification rate has become a new challenge. In this paper, a neighborhood rough set and random forest combination model is proposed to predict the identification rate of an RFID system. Firstly, the initial influencing factors of the RFID system identification rate are (...) reduced using neighborhood rough set theory combined with the principle of heuristic attribute reduction of neighborhood weighted dependency, thus obtaining a kernel factor subset. Secondly, a random forest prediction model is established based on the kernel factor subset, and a confusion matrix is established using out-of-bag data to evaluate the prediction results. The test is conducted under the constructed RFID experimental environment, whose results showed that the model can predict the identification rate of the RFID system in a fast and efficient way, and the classification accuracy can reach 90.5%. It can effectively guide the hardware deployment and communication parameter protocol setting of the system and improve the system performance. Compared with BP neural network and other prediction models, NRS-RF has shorter prediction time and faster calculation speed. Finally, the validity of the proposed model was verified by the RFID intelligent archives management platform. (shrink)

We study a joint pricing and inventory control problem for perishables with positive lead time in a finite horizon periodic-review system. Unlike most studies considering a continuous density function of demand, in our paper the customer demand depends on the price of current period and arrives according to a homogeneous Poisson process. We consider both backlogging and lost-sales cases, and our goal is to find a simultaneously ordering and pricing policy to maximize the expected discounted profit over the planning horizon. (...) When there is no fixed ordering cost involved, we design a deep reinforcement learning algorithm to obtain a near-optimal ordering policy and show that there are some monotonicity properties in the learned policy. We also show that our deep reinforcement learning algorithm achieves a better performance than tabular-based Q-learning algorithms. When a fixed ordering cost is involved, we show that our deep reinforcement learning algorithm is effective and efficient, under which the problem of “curse of dimension” is circumvented. (shrink)

Online discussion forums are an essential and standard setup in online courses to facilitate interactions among learners. However, learners’ inadequate participation in online discussion forums is a long-standing challenge, which necessitates instructor intervention and the design consideration of online learning platforms. This research proposes and studies the role of mandatory participation, i.e., learners’ participation in online course forums by instructors’ requirements, in fostering their voluntary participation and boosting their learning performance. This novel effect link between mandatory participation and voluntary participation (...) has not been assessed in previous research. An empirical study is conducted using a large-scale dataset of 27,767 learners from a leading massive open online course platform in China. The findings indicate that besides its direct effect on learning performance, learners’ mandatory participation has a significant positive effect on their voluntary participation in online course forums, enhancing learning performance. Moreover, the effect of mandatory participation on voluntary participation varies across learner groups, being more prominent for early registrants than late registrants and part-time learners than full-time learners. This research contributes to the online learning literature by introducing mandatory participation as a viable approach to foster voluntary participation and boost learning performance through enhanced voluntary participation. It provides evidence on the effectiveness of the novel design feature of MOOC platforms that enables and facilitates the mandatory participation mechanism in online learning. (shrink)

In this study, we draw on moral cleansing theory to investigate the consequence of unethical pro-organizational behavior from the perspective of the actors. Specifically, we hypothesize that after conducting UPB, people may feel guilty and tend to cleanse their wrongdoings by providing suggestions or identifying problems at work. We further hypothesize that the above relationship is moderated by the actor’s moral identity symbolization. We conducted three studies, including experiment and surveys, to test our hypotheses. Results of these studies show consistent (...) support to our hypotheses. In particular, individuals reported more felt guilt after conducting UPB, and they tended to compensate with more prohibitive and promotive voice subsequently. In addition, the indirect relationship from UPB acting to both voice behaviors via felt guilt was stronger for people with a high level of moral identity symbolization. Theoretical and practical implications are discussed. (shrink)

Presently, the State Grid Corporation of China has accumulated a large amount of maintenance records for power primary equipment. Unfortunately, most of these records are unstructured data which lead to difficultly analyze and utilize them. The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. This paper proposes a progressive multitype feature fusion model to recognize Chinese named entity of unstructured maintenance records for power primary equipment. Firstly, the textual characteristics and word (...) separation difficulties of maintenance records are analyzed, then 7 main entity categories of power technical terms from unstructured maintenance records are chosen, and 3452 maintenance records are labeled by these categories, which is so called EPE-MR training dataset. Secondly, the standard test reports, standard maintenance, and fault analysis reports for three types of power primary equipment are employed as corpus to train character embedding in order to obtain certain words representation ability of maintenance records. After that, progressive multilevel radicals feature extraction module is designed to get detailed and fine semantic information in a hierarchical manner. Further, radicals feature representation and character embedding are concatenated and sent to BiLSTM module to extract contextual information in order to improve Chinese entity recognition ability. Moreover, CRF is introduced to handle the dependencies among prediction labels and to output the optimal prediction sequence, which can easily obtain structured data of maintenance records. Finally, comparative experiments on public MSRA dataset, China People’s Daily corpus, and EPE-MR dataset are implemented, respectively, which show the effectiveness of the proposed method. (shrink)

Self-serving leadership is a form of unethical leadership behavior that has destructive effect on its targets and the overall organization. Adopting a social cognition perspective, this study expands our knowledge of its adverse effect and the way to mitigate the effect. Integrating two sub-theories of social cognition, we propose a theoretical model wherein self-serving leadership hinders team creativity through psychological safety as well as knowledge hiding, with task interdependence acting as a contextual condition. Results from a sample of 107 R&D (...) teams revealed that self-serving leadership not only reduced team psychological safety, but also induced team knowledge hiding, both of which ultimately affected team creativity. The presence of high task interdependence buffered the destructive effect of self-serving leadership on team creativity via team psychological safety as well as the indirect effect via knowledge hiding. (shrink)

The revolution of artificial intelligence (AI), particularly generative AI, and its implications for human–robot interaction (HRI) opened up the debate on crucial regulatory, business, societal, and ethical considerations. This paper explores essential issues from the anthropomorphic perspective, examining the complex interplay between humans and AI models in societal and corporate contexts. We provided a comprehensive review of existing literature on HRI, with a special emphasis on the impact of generative models such as ChatGPT. The scientometric study posits that due to (...) their advanced linguistic capabilities and ability to mimic human-like behavior, generative AIs like ChatGPT will continue to grow in popularity in pair with human rational empathy, tendency for personification and their advanced linguistic capabilities and ability to mimic human-like behavior. As they blur the boundaries between humans and robots, these models introduce fresh moral and philosophical dilemmas. Our research aims to extrapolate key trends and unique factors in HRI and to elucidate the technical aspects of generative AI that enhance its effectiveness in this field compared to traditional rule-based AI systems. We further discuss the challenges and limitations of applying generative AI in HRI, providing a future research agenda for AI optimization in diverse applications, including education, entertainment, and healthcare. (shrink)