The information in the working environment of industrial Internet is characterized by diversity, semantics, hierarchy, and relevance. However, the existing representation methods of environmental information mostly emphasize the concepts and relationships in the environment and have an insufficient understanding of the items and relationships at the instance level. There are also some problems such as low visualization of knowledge representation, poor human-machine interaction ability, insufficient knowledge reasoning ability, and slow knowledge search speed, which cannot meet the needs of intelligent and (...) personalized service. Based on this, this paper designs a cognitive information representation model based on a knowledge graph, which combines the perceptual information of industrial robot ontology with semantic description information such as functional attributes obtained from the Internet to form a structured and logically reasoned cognitive knowledge graph including perception layer and cognition layer. Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. The automatic representation of robot perceived information is realized, and the universality, systematicness, and intuition of robot cognitive information representation are enhanced, so that the cognition reasoning ability and knowledge retrieval efficiency of robots in the industrial Internet environment can be effectively improved. (shrink)

In the People’s Republic of China (PRC), we investigated the relationships between supervisor–subordinate guanxi and trust in supervisor in firms with different types of ownership from both supervisor and subordinate’s sides. Utilising a qualitative approach, the findings of this study showed there was a direct relationship of superior–subordinate guanxi on trust in supervisor. The findings were discussed in the theoretical context of—social exchange theory, social identity theory and the theory of reasoned action as the theoretical foundations on the relationships between (...) superior–subordinate guanxi and trust in supervisor. (shrink)

Social networks have become an important way for users to find friends and expand their social circle. Social networks can improve users’ experience by recommending more suitable friends to them. The key lies in improving the accuracy of link prediction, which is also the main research issue of this study. In the study of personality traits, some scholars have proved that personality can be used to predict users’ behavior in social networks. Based on these studies, this study aims to improve (...) the accuracy of link prediction in directed social networks. Considering the integration of personality link preference and asymmetric interaction into the link prediction model of social networks, a four-dimensional link prediction model is proposed. Through comparative experiments, it is proved that the four-dimensional social relationship prediction model proposed in this study is more accurate than the model only based on similarity. At the same time, it is also verified that the matching degree of personality link preference and asymmetric interaction intensity in the model can help improve the accuracy of link prediction. (shrink)

Mudstone is becoming increasingly important for unconventional oil and gas development. The morphological characteristics of clastic are not only contributions to the 3D framework of mudstone, but they can clearly affect the physical properties of a mudstone reservoir, including surface area, pore-size distribution, and porosity. However, it is very difficult and time-consuming to measure the particle size distribution of mudstone because of its small particle size and strong cementation. However, because of the importance of oil and gas extraction, is urgent (...) to develop a fast, accurate, and objective analysis method to measure the PSD of mudstone. Based on a comparison of various PSD measurement methods commonly used in the energy industry and geology, the best PSD measurement method for mudstone should be digital image processing. In this study, two imaging methods, Trainable Weka Segmentation and black mudstone particle size measurement, were used to analyze sections of the early Silurian Longmaxi mudstone of China’s Sichuan Basin. The PSD data obtained by manual measurement, TWS and the contribution method are compared.Image analysis show that the particle sizes of all samples fall in the range of coarse silt to clay, and the average sizes fall in the range of coarse silt to fine silt. The skewness, kurtosis, standard deviation and other distribution characteristics parameters show minor errors, and the relative error is less than 15%. The Pearson correlation coefficient of the Tenth quantile of TWS, BMPSM and manual measurement was calculated, which show R-square values typically ranging between 0.64 and 0.87. K-S test results show that the data obtained by the three measurement methods are from the same distribution at the level of 0.05. Analytic results show that the method presented is effective, cost-efficient, and could avoids artificial errors. (shrink)

Social networks are widely used as a fast and ubiquitous information-sharing medium. The mass spread of food rumours has seriously invaded public’s healthy life and impacted food production. It can be argued that the government, companies, and the media have the responsibility to send true anti-rumour messages to reduce panic, and the risks involved in different forms of communication to the public have not been properly assessed. The manuscript develops an empirical analysis model from 683 food anti-rumour cases and 7,967 (...) data of the users with top comments to test the influence of the strength of rumour/anti-rumour on rumour control. Furthermore, dividing the users into three categories, Leaders, Chatters, and General Public, and study the influence of human characteristics on the relationship between the strength of rumour/anti-rumour and rumour control by considering the different human characteristics as moderator variables. The results showed that anti-rumours have a significant positive impact on the control of rumours; the ambiguity of rumours has a significant negative impact on the Positive Comment Index in rumour control. Further, the Leaders increased the overall level of PCI, but negatively adjusted the relationship between evidence and PCI; the Chatters and the General Public reduced the overall level of PCI, and Chatters weakened the relationship between the specific type of anti-rumour form and PCI while the General Public enhanced the relationship between the specific type of anti-rumour form and PCI. In the long run, the role of Leaders needs to be further improved, and the importance of the General Public is growing in the food rumour control process. (shrink)

Background and ObjectiveThere is vast published literature proposing repetitive transcranial magnetic stimulation technology on the motor cortex for the treatment of neuropathic pain. Systematic reviews focus on a specific problem and do not provide a comprehensive overview of a research area. This study aimed to summarize and analyze the evidence of rTMS on the M1 for NP treatment through a new synthesis method called evidence mapping.MethodsSearches were conducted in PubMed, EMBASE, Epistemonikos, and The Cochrane Library to identify the studies that (...) summarized the effectiveness of rTMS for NP. The study type was restricted to SRs with or without meta-analysis. All literature published before January 23, 2021, was included. Two reviewers independently screened the literature, assessed the methodological quality, and extracted the data. The methodological quality of the included SRs was assessed by using the A Measurement Tool to Assess Systematic Reviews. Data were extracted following a defined population, intervention, comparison, and outcome framework from primary studies that included SRs. The same PICO was categorized into PICOs according to interventions [frequency, number of sessions ] and compared. The evidence map was presented in tables and a bubble plot.ResultsA total of 38 SRs met the eligibility criteria. After duplicate primary studies were removed, these reviews included 70 primary studies that met the scope of evidence mapping. According to the AMSTAR-2 assessment, the quality of the included SRs was critically low. Of these studies, 34 SRs scored “critically low” in terms of methodological quality, 2 SR scored “low,” 1 SR scored “moderate,” and 1 SR scored “high.”ConclusionEvidence mapping is a useful methodology to provide a comprehensive and reliable overview of studies on rTMS for NP. Evidence mapping also shows that further investigations are necessary to highlight the optimal stimulation protocols and standardize all parameters to fill the evidence gaps of rTMS. Given that the methodological quality of most included SRs was “critically low,” further investigations are advised to improve the methodological quality and the reporting process of SRs. (shrink)

This book traces the trajectory of traditional Chinese ethics from West Zhou Dynasty through Qing Dynasty and covers a myriad of Chinese philosophers who have expressed their ideas about the relationships between Heavenly Dao vs. Earthly Dao, Good vs. Evil, Morality vs. Legality, Knowledge vs. Behavior, Motive vs. Result, Righteousness vs. Profitability, Rationality vs. Animality. In this book, the readers can find Confucius’s discussion on Rite and Benevolence, Lao Zi’s meditation on Inaction of Great Dao, Zhuang Zi’s elaboration on “Transcendental (...) Freedom”, Mohist utilitarian “Universal Love”, and Mencian theory of “Primordial Good Humanity”, to name just a few phenomenal figures. A compact yet elaborate, panoramic yet profound guidebook to traditional Chinese ethical thought, this book is an excellent window to showcase traditional Chinese mental and spiritual legacy. Composed, translated, and proofread by brilliant scholars, it produces a fluent and coherent English discourse of Chinese morality and ethics, nimbly spinning together the threads of Confucianism, Taoism, Buddhism, and other ideological schools with brief references to the historical situation. Consequently, it provides English readers, especially those curious about Chinese psychology and rationality, with thought-provoking and horizon-expanding perspectives, and provides Chinese readers, especially those of philosophy and translation, with a great number of typical and characteristic quotes of archaic Chinese that have never been translated before. Ultimately, it is a fundamental threshold to learning about Chinese people, Chinese culture, Chinese morality, Chinese mentality, Chinese policy, and Chinese diplomacy. (shrink)

Value co-creation goes through the stage of co-production, customer experience, service-dominant logic, and service ecosystem. The integration of science and technology has become a key factor to the process of VCC. The rise and application of artificial intelligence technology has added a new driving force to VCC and began to affect its original practical logic. Based on the consumer perspective, this study uses Q-methodology to measure consumer cognitive attitude toward the use of AI technology in VCC, aiming to explore the (...) key factors that affect VCC. The study found that content quality, information security, efficiency concern, and degree of manipulation have become the important concerns of consumers for VCC under AI integration. Moreover, their different statements have their specific focus and direction. The study demonstrates and analyzes the importance of the four factors and proposes the combination of human and non-human actors to shape the new model of VCC in the future, which is worth further deepening and exploring for academia and enterprises. (shrink)

This study aims to explore the mediating effect of anger and turnover intention on the relationship between workplace ostracism and counterproductive work behaviors. A two-stage follow-up survey of 426 employees born after 1990 was conducted using the Workplace Ostracism Scale, Counterproductive Work Behaviors Scale, Trait Anger subscale of the State-Trait Anger Expression Inventory, and Turnover Intention Scale. Workplace ostracism was found to be significantly positively correlated with anger, turnover intention, and counterproductive work behaviors. Furthermore, anger and turnover intention both separately (...) and serially mediated the relationship between workplace ostracism and counterproductive work behaviors. This study confirms the chain mediating effect of anger and turnover intention on the relationship between workplace ostracism and counterproductive work behaviors. (shrink)

本书内容包括中国传统伦理思想的诞生、春秋战国时期的伦理思想、两汉时期的伦理思想、魏晋时期的伦理思想、南北朝隋唐时期的伦理思想、宋至明中叶时期的伦理思想、明末清初的伦理思想、中国传统伦理思想的近代变革等 八章。.

Learning burnout is an important indicator that reflects an individual’s learning state. Understanding the influencing factors and mechanism of learning burnout of medical students has practical significance for improving their mental health. This study aimed to explore the mediating roles of school identity and collective self-esteem between school psychological environment and learning burnout in medical students. A total of 2,031 medical students were surveyed using the School Psychological Environment Questionnaire, School Identity Questionnaire, Collective Self-esteem Scale, and Learning Burnout Scale. The (...) results showed the following: school psychological environment had a negative effect on learning burnout among medical students, and school identity and collective self-esteem played significant mediating roles between school psychological environment and learning burnout [95% CI = ]. Specifically, there were three paths that school psychological environment and learning burnout: first, through the independent mediating role of school identity; second, through the independent mediating role of collective self-esteem; and third, through the chain mediating roles of school identity and collective self-esteem. The findings reveal that school psychological environment not only directly influences the learning burnout of medical students but also indirectly influences it through school identity and collective self-esteem. Thus, this study has some important implications for prevention and intervention of learning burnout among medical students. (shrink)

Religious beliefs in Chinese cultural background, especially in Chinese secular society, have rarely been systematically investigated. The nonreligious-based population in China endorses certain supernatural beliefs or has related transcendent experience, even though they usually claim themselves as non-believers. Therefore, the current research examined the spirituality-prosociality association in Chinese secular background, demonstrating how spiritual connection with the transcendence related to individual secular social life. A total of 440 Chinese participants completed our questionnaires in three survey studies. The results showed that: 1) (...) for the nonreligious-based population in China, spirituality was positively connected with personal prosocial trait, prosocial attitude, and prosocial behavior; 2) the prosocial trait of compassionate love partially mediated the association between spirituality and daily prosocial expenses on time and money; and 3) personal emphasis on moral principles such as ultimate justice beliefs partially mediated the association between spirituality and interpersonal altruism in organizational settings. Limitations and future directions were discussed. (shrink)

The COVID-19 is creating panic among people around the world and is causing a huge public mental health crisis. Large numbers of observational studies focused on the prevalence of psychological problems during the COVID-19 pandemic were published. It is essential to conduct a meta-analysis of the prevalence of different psychological statuses to insight the psychological reactions of general population during the COVID-19 epidemic in China. Sixty six observational studies about the psychological statuses of people during the COVID-19 were included, searching (...) up to 1 December 2020. Strengthening the Reporting of Observational Studies in Epidemiology was used to evaluate the quality of the included studies. OpenMeta[Analyst] was used for the data analysis. High prevalence of acute stress and fear symptoms were observed in the early period of the epidemic. Additionally, anxiety and depression symptoms continued at a high prevalence rate during the epidemic. It should alert the lasting mental health problems and the risk of post-traumatic stress disorder and other mental disorders.Systematic Review Registration: PROSPERO CRD 42020171485. (shrink)

Innovation has become the main impetus for regional development. Effective utilization of innovation resources is crucial in promoting sustainable innovation. From the theoretical aspect, there still exists uncertainty of how to effectively evaluate innovation performance. From the empirical aspect, we still doubt whether regions of higher economic level or high innovation quantity really show positive regional innovation performance, especially in heterogeneous regions. This paper uses DEA-Malmquist index to measure regional innovation performance of the Yangtze River Economic Belt in China. Regions (...) of similar performance levels are grouped by ward clustering, analysis regional innovation performance characteristics, and problem-solving paths of regions in different development stages. The empirical research proves that overall performance of Yangtze River Economic Belt is not high. The economic core area has realized increase of innovation volume through large amount of material input and resource consumption, instead of realizing full utilization of innovative resources; how to improve the utilization rate of existing technical resources has been neglected. Different regions with similar innovation performance show different characteristics and innovation problems, including resource mismatch, input redundancy, or insufficient output. There are also some differences in the way the region’s specific innovation performance is improved. (shrink)

Bellman optimality principle for the stochastic dynamic system on time scales is derived, which includes the continuous time and discrete time as special cases. At the same time, the Hamilton–Jacobi–Bellman equation on time scales is obtained. Finally, an example is employed to illustrate our main results.

In a shale gas reservoir, pore characterization is an important factor to determine gas storage capacity. However, the nanometer scale pore system in shale is difficult to explore by traditional optical, scanning electron microscopy or even nuclear magnetic resonance well logging. We investigated the pore structure and storage capacity of the Marcellus Shale through integration of petrophysical analysis from lab and well logging data, and nitrogen adsorption. The isotherm of Marcellus Shale is a composite isotherm, which has features of Type (...) I, Type II and Type IV isotherms with Type H4 of hysteresis loop, suggesting slit-like pores developed in the Marcellus Shale. Quantitative analysis of pore volumes from the nitrogen adsorption indicates that density porosity may be more proper to approximate shale porosity and estimating the shale gas volume. In addition, the specific surface area, micropore and mesopore volumes have positive relationship with kerogen volume and total organic content. By employing Langmuir and Brunauer-Emmet-Teller models, simulated result indicates that higher adsorbed quantity of the Marcellus Shale could be the result of increase of micropore volume contributed, by increase of kerogen or TOC content. The proposed equations rapidly compute TOC, a key parameter to predict gas storage capacity in over-matured shale such as the Marcellus Shale. (shrink)