The present study investigated the lasting effects of sickness presenteeism on well-being and innovative job performance in the demanding Chinese work context compounded with the precarities of the post-pandemic business environment. Adopting the conservation of resources theory perspective, especially its proposition of compensation of resources, we incorporated social resources at work as joint moderators in the presenteeism–outcomes relationship. We employed a panel design in which all variables were measured twice with 6 months in between. Data were obtained from 323 Chinese (...) employees working in diverse industries in Taiwan. We found that after controlling for the baseline level of well-being, presenteeism did not have a lasting effect on employees' exhaustion. However, presenteeism did have a negative lasting effect on employees' innovative behavior 6 months later. Moreover, we found a significant three-way interaction of presenteeism, supervisory support, and collegial support on employees' innovative job performance, after controlling for the baseline level of performance. Specifically, when working under illness, employees displayed the best innovative performance with high levels of both supervisory and collegial support, the worst performance with both support being low, and the intermediate when any one of the support being high. This can be taken as the preliminary evidence to support the COR proposition of resource caravans, showing that supervisory support and collegial support compensated for each other as critical resources in alleviating the impact of working under sickness on employees' innovative performance. Theoretical implications of the findings are discussed, taking into account the macro-cultural context of the East Asian Confucian societies. We also reflected on the managerial implications of the lasting damages of sickness presenteeism and benefits of mobilizing social resources on employees' well-being and performance. (shrink)

The result of an interaction is influenced by its epistemic state, and several epistemic notions are related to multiagent situations. Strong belief-disagreement on a certain proposition between agents means that one agent believes the proposition and the other believes its negation. This paper presents a logical system describing strong belief-disagreement between agents and demonstrates its soundness and completeness. The notion of belief-disagreement as well as belief-agreement can facilitate gaining a clearer understanding of the acts of trade and speech.

With a previous paper (Niu & Wang, 1995), a general, hypothetical outline of the mechanism of carcinogenesis was proposed. With reference to the fact of starvation-induced hypermutation in micro-organisms, we propose that the hypoxia commonly seen in the cells at the centre of solid tumours might also result in hypermutation, and then p53-dependent programmed cell death. Like the apparently adaptive mutations in micro-organisms, only those genes (e.g. p53) that enable the cells to escape from apoptosis may be selected.

Division of labour is a marked feature of multicellular organisms. Margulis proposed that the ancestors of metazoans had only one microtubule organizing center (MTOC), so they could not move and divide simultaneously. Selection for simultaneous movement and cell division had driven the division of labour between cells. However, no evidence or explanation for this assumption was provided. Why could the unicellular ancetors not have multiple MTOCs? The gain and loss of three possible strategies are discussed. It was found that the (...) advantage of one or two MTOC per cell is environment-dependent. Unicellular organisms with only one MTOC per cell are favored only in resource-limited environments without strong predatory pressure. If division of labour occurring in a bicellular organism just makes simultaneous movement and cell division possible, the possibility of its fixation by natural selection is very low because a somatic cell performing the function of an MTOC is obviously wasting resources. Evolutionary biologists should search for other selective forces for division of labour in cells. (shrink)

Addiction is a significant issue in many aspects but no explanatory closure has been attained. The overemphasis on the brain disease paradigm upheld by the National Institute on Drug Abuse may run serious risks, and the present study intends to counteract this partiality. Drawing on Ludwik Fleck’s notion of thought collectives, this article offers a close reading of the works of sociologists Bingham Dai and Alfred R. Lindesmith vis-à-vis other coeval biomedical approaches. Individuals within the same thought collective, such as (...) Dai and Lindesmith, have different views although they share certain thought styles. As noted in this study, inter-collective communication is not typically antagonistic and may form some liaison under certain circumstances. These findings imply that communication among collectives may facilitate creative liaison, as suggested by Fleck. This study aims to enrich the understanding of addiction by coordinating biomedical and sociological sciences through minimizing, if not erasing, their intellectual antagonism and social distance. (shrink)

A moderate belief-disagreement between agents on proposition p means that one agent believes p and the other agent does not. This paper presents two logical systems, \ and \, that describe moderate belief-disagreement, and shows, using possible worlds semantics, that \ is sound and complete with respect to arbitrary frames, and \ is sound and complete with respect to serial frames. Syntactically, the logics are monomodal, but two doxastic accessibility relations are involved in their semantics. The notion of moderate belief-disagreement, (...) which is in accordance with the understanding of belief-disagreement in everyday life, is an epistemic one related to multiagent situations, and \ and \ are two epistemic logics. (shrink)

Due to the complexity of the network structure, log analysis is usually necessary for the maintenance of network-based distributed systems since logs record rich information about the system behaviors. In recent years, numerous works have been proposed for log analysis; however, they ignore temporal relationships between logs. In this paper, we target on the problem of mining informative patterns from temporal log data. We propose an approach to discover sequential patterns from event sequences with temporal regularities. Discovered patterns are useful (...) for engineers to understand the behaviors of a network-based distributed system. To solve the well-known problem of pattern explosion, we resort to the minimum description length principle and take a step forward in summarizing the temporal relationships between adjacent events of a pattern. Experiments on real log datasets prove the efficiency and effectiveness of our 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)

Background: Ethical challenges are common in clinical nursing practice, and an infectious environment could put nurses under ethical challenges more easily, which may cause nurses to submit to negative emotions and psychological pressure, damaging their mental health. Purpose: To examine the ethical challenges encountered by nurses caring for patients with the novel coronavirus pneumonia and to provide nurses with suggestions and support regarding promotion of their mental health. Research design and method: A qualitative study was carried out using a qualitative (...) content analysis. The participants were 18 nurses who agreed to attend an interview and describe their own experiences of providing care to COVID-19 patients in China. They were purposively sampled, and structured, in-depth interviews were performed. Data were iteratively collected and analyzed from February to March 2020. Ethical considerations: The proposal was approved by the Research Ethics Committee of the Second Hospital of Shandong University, China. Findings: The findings revealed three main themes and 10 categories. The themes were the following: ethical challenges ; coping styles ; and impacts on career. Conclusion: Nurses faced ethical challenges on multiple fronts in caring for COVID-19 patients. The results may help nurses with more safety, ethics, and humanistic care in nursing practice. (shrink)

We investigated whether adults have attentional bias toward infant faces, whether it is moderated by infant facial expression, and the predictive effect of the adult attachment state on it. One hundred unmarried nulliparous college students [50 men and 50 women; aged 17–24 years ] were recruited. Each completed a self-report questionnaire—the Chinese version of the State Adult Attachment Measure, and a dot-probe task with a stimulus presentation duration of 500 ms, which used 192 black-and-white photographs of 64 people as the (...) experimental stimuli. The results showed that, at the duration of 500 ms, individuals' attentional bias toward infant faces disappeared, regardless of the facial expression. However, when the interaction between avoidant attachment state and face was controlled, the attentional bias was significant again, and the avoidant attachment state negatively predicted individuals' attentional bias toward infant faces. This indicates that at the suprathreshold stage, there are individual differences in the attentional bias toward infant faces, and high avoidant attachment will weaken individuals' attentional bias toward infant faces. This study advances previous studies that focused only on individuals' attention to infant faces occurring at the early processing stage of attention. The results provide direction for interventions; specifically, changing the attachment state of avoidant individuals can affect their attention to infants, which may promote the establishment of parent–child relationships. (shrink)

This research investigates the efficacy of business ethics intervention, tests a theoretical model that the love of money is directly or indirectly related to propensity to engage in unethical behavior (PUB), and treats college major (business vs. psychology) and gender (male vs. female) as moderators in multi-group analyses. Results suggested that business students who received business ethics intervention significantly changed their conceptions of unethical behavior and reduced their propensity to engage in theft; while psychology students without intervention had no such (...) changes. Therefore, ethics training had some impacts on business students' learning and education (intelligence). For our theoretical model, results of the whole sample (N = 298) revealed that Machiavellianism (measured at Time 1) was a mediator of the relationship between the love of money (measured at Time 1) and unethical behavior (measured at Time 2) (the Love of Money → Machiavellianism → Unethical Behavior). Further, this mediating effect existed for business students (n = 198) but not for psychology students (n = 100), for male students (n = 165) but not for female students (n = 133), and for male business students (n = 128) but not for female business students (n = 70). Moreover, when examined alone, the direct effect (the Love of Money → Unethical Behavior) existed for business students but not for psychology students. We concluded that a short business ethics intervention may have no impact on the issue of virtue (wisdom). (shrink)

Several previous studies have reported atypicality in resting-state functional connectivity in autism spectrum disorder, yet the relatively small effect sizes prevent us from using these characteristics for diagnostic purposes. Here, canonical correlation analysis and hierarchical clustering were used to partition the high-functioning ASD group into subgroups. A support vector machine model was trained through the 10-fold strategy to predict Autism Diagnostic Observation Schedule scores within the ASD discovery group, which was further validated in an independent sample. The neuroimage-based partition derived (...) two subgroups representing severe versus mild autistic patients. We identified FCs that show graded changes in strength from ASD-severe, through ASD-mild, to controls, while the same pattern cannot be observed in partitions based on ADOS score. We also identified FCs that are specific for ASD-mild, similar to a partition based on ADOS score. The current study provided multiple pieces of evidence with replication to show that resting-state functional magnetic resonance imaging FCs could serve as neural biomarkers in partitioning high-functioning autistic individuals based on their symptom severity and showing advantages over traditional partition based on ADOS score. Our results also indicate a compensatory role for a frontocortical network in patients with mild ASD, indicating potential targets for future clinical treatments. (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)

We develop a theoretical model involving religiosity [intrinsic (I), extrinsic-social (E s), and extrinsic-personal (E p), Time 1], Machiavellianism (Time 2), and propensity to engage in unethical behavior (Time 2) to investigate direct and indirect paths. We collected two-wave panel data from 359 students who had some work experiences. For the whole sample, intrinsic religiosity (I) indirectly curbed unethical intentions through the absence of Machiavellianism, the bright side of religiosity. Both extrinsic-social (E s) and extrinsic-personal (E p) directly, while extrinsic-social (...) (E s) indirectly, exacerbated unethical intentions, the dark side of religiosity. Multiple-group analyses across gender, college major, and income showed that the bright side existed directly for low-income students, but indirectly for males and females, business majors, and low-income students. Our novel finding showed that E p undermined unethical intentions indirectly for females. For the dark side, E s incited unethical intentions directly for males, business students, and low-income individuals, but indirectly for females, psychology majors, and low-income people. The Machiavellianism–unethical intentions relationship was the strongest for high-income participants. Religiosity had the highest number of significant paths for low-income individuals and the strongest dark side for males and high-income students, but the highest bright outcome for females. Our novel, original findings foster theory development and testing, add new vocabulary to the conversation of religiosity and unethical intentions, and improve practice. (shrink)

This research examines business and psychology students’ attitude toward unethical behavior (measured at Time 1) and their propensity to engage in unethical behavior (measured at Time 1 and at Time 2, 4 weeks later) using a 15-item Unethical Behavior measure with five Factors: Abuse Resources, Not Whistle Blowing, Theft, Corruption, and Deception. Results suggested that male students had stronger unethical attitudes and had higher propensity to engage in unethical behavior than female students. Attitude at Time 1 predicted Propensity at Time (...) 1 accurately for all five factors (concurrent validity): If students consider it to be unethical, then, they are less likely to engage in that unethical behavior. Attitude at Time 1 predicted only Factor Abuse Resources for Propensity at Time 2. Propensity at Time 1 was significantly related to Propensity at Time 2. Attitude at Time 1, Propensity at Time 1, and Propensity at Time 2 had achieved configural and metric measurement invariance across major (business vs. psychology). Thus, researchers may have confidence in using these measures in future research. (shrink)

Models of the work-to-family and family-to-work interface were tested in two heterogeneous samples of workers, one from North America (N = 408) and one from China (N = 442), using the same measures translated from English to Chinese using back translation. Consistent with proposed differences in the centrality of work and family, tolerance of work demands, and the availability of family support, work-to-family spillover effects tended to be stronger in the North American sample, whereas family-to-work spillover effects tended to be (...) stronger in the Chinese sample. However, some inconsistencies across cultures did not conform to this generalization. Results point to asymmetric differences between North America and China in the work–family interface. Theoretical implications for resource scarcity and expansionist perspectives are discussed, as well as those for the applicability of work–family interventions across North America and China. (shrink)

In the knowledge economy, the process of knowledge sharing and creation for value co-creation frequently emerge in a multi-agent and multi-level system. It's important to consider the roles, functions, and possible interactive knowledge-based activities of key actors for ecological development. Makerspace as an initial stage of incubated platform plays the central and crucial roles of resource orchestrators and platform supporter. Less literature analyses the knowledge ecosystem embedded by makerspaces and considers the interactive process of civil society and natural environment. This (...) study constructs a multi-agent and multi-level knowledge ecosystem from macro, meso, and micro perspective based on Quintuple Helix theory and designs four evolutionary stages of knowledge orchestrating processes. This study finds that the symbiosis, co-evolution, interaction, and orchestration of multiple agents in the knowledge ecosystem should be merged with each other for value co-creation, which helps to take a systematic approach for policymakers, managers, and researchers. (shrink)

ObjectiveInvestigating the mental health status of Chinese resident physicians during the 2019 new coronavirus outbreak.MethodsA cluster sampling method was adopted to collect all China-wide resident physicians during the epidemic period as the research subjects. The Symptom Checklist-90 self-rating scale was used to assess mental health using WeChat electronic questionnaires.ResultsIn total, 511 electronic questionnaires were recovered, all of which were valid. The negative psychological detection rate was 93.9%. Among the symptoms on the self-rating scale, more than half of the Chinese resident (...) physicians had mild to moderate symptoms of mental unhealthiness, and a few had asymptomatic or severe unhealthy mental states. In particular, the detection rate of abnormality was 88.3%, obsessive-compulsive symptoms was 90.4%, the sensitive interpersonal relationship was 90.6%, depression abnormality was 90.8% /511), anxiety abnormality was 88.3%, hostility abnormality was 85.3%, terror abnormality was 84.9%, paranoia abnormality was 86.9%, psychotic abnormalities was 89.0%, and abnormal sleeping and eating status was 90.8%. The scores of various psychological symptoms of pediatric resident physicians were significantly lower than those of non-pediatrics.ConclusionThe new coronavirus epidemic has a greater impact on the mental health of Chinese resident physicians. (shrink)

As the aging population, including frail older people, continues to grow in Mainland China, quality of life and end-of-life care for frail older people has attracted much attention. Advance care planning is an effective way to improve end-of-life care for people with advanced diseases, and it is widely used in developed countries; however, it is a new concept in Mainland China. The effects of advance care planning and its acceptability in Mainland China are uncertain because of its culture-sensitive characteristics. The (...) objective of this article is to discuss the serious social issue of caring for frail older people and illustrate the possibility of implementing advance care planning in nursing homes in Mainland China through a review of relevant literature, which will focus on legislation, healthcare system engagement, public engagement, and cultural issues. Recommendations to promote and implement advance care planning include choosing nursing homes as a proper setting, establishing an ethical climate, and enhancing public awareness. (shrink)

Let H n be the linear heptagonal networks with 2 n heptagons. We study the structure properties and the eigenvalues of the linear heptagonal networks. According to the Laplacian polynomial of H n, we utilize the method of decompositions. Thus, the Laplacian spectrum of H n is created by eigenvalues of a pair of matrices: L A and L S of order numbers 5 n + 1 and 4 n + 1 n! / r! n − r!, respectively. On the (...) basis of the roots and coefficients of their characteristic polynomials of L A and L S, we get not only the explicit forms of Kirchhoff index but also the corresponding total number of spanning trees of H n. (shrink)

Educators themselves and their knowledge are the most significant elements in learners’ success and achievement; however, there is little information about the specialized knowledge held by educators. Recently, conceptualizing educator knowledge has become a complicated issue that involves that the comprehension of important basic phenomena, such as the procedure of educating and learning, the notion of knowledge, and the way educators’ knowledge, has become practical within the class. Technological Pedagogical Content Knowledge was presented as a theoretical structure for the knowledge (...) base because educators have to efficiently instruct with technology and it is regarded as a valuable framework for explaining and understanding technology integration into various academic environments, such as English as a Foreign Language class. This paper is intended to review the related literature on the role of an English teacher using the TPACK framework for teaching English and their role in students’ achievement. Based on the related literature, there is a significant and direct association between EFL teachers’ TPACK and EFL students’ achievement. Succinctly, some recommendations have been proposed for educational stakeholders. (shrink)

Conducting emotion analysis and generating users' feedback from social media platforms may help understand their emotional responses to video products, such as a documentary on the lockdown of Wuhan during COVID-19. The results of emotion analysis could be used to make further user recommendations for marketing purposes. In our study, we try to understand how users respond to a documentary through YouTube comments. We chose “The lockdown: One month in Wuhan” YouTube documentary, and applied emotion analysis as well as a (...) machine learning approach to the comments. We first cleaned the data and then introduced an emotion analysis based on the statistical characteristics and lexicon combination. After that, we applied the Latent Dirichlet Allocation topic modeling approach to further generate main topics with keywords from the comments and visualized the distribution by visualizing the topics. The result shows trust, joy, and anticipation are the most prominent emotions dominating the comments. The major three themes, which account for 70% of all comments, are discussing stories about fighting against the virus, medical workers being heroes, and medical workers being respected. Further discussion has been conducted on the changing of different sentiments over time for the ongoing health crisis. This study proves that emotion analysis and LDA topic modeling could be used to generate explanations of users' opinions and feelings about video products, which could support user recommendations in marketing. (shrink)

Traditional rehabilitation strategies become difficult in the chronic phase stage of stroke prognosis. Brain–computer interface combined with external devices may improve motor function in chronic stroke patients, but it lacks comprehensive assessments of neurological changes regarding functional rehabilitation. This study aimed to comprehensively and quantitatively investigate the changes in brain activity induced by BCI–FES training in patients with chronic stroke. We analyzed the EEG of two groups of patients with chronic stroke, one group received functional electrical stimulation rehabilitation training and (...) the other group received BCI combined with FES training. We constructed functional networks in both groups of patients based on direct directed transfer function and assessed the changes in brain activity using graph theory analysis. The results of this study can be summarized as follows: after rehabilitation training, the Fugl–Meyer assessment scale score was significantly improved in the BCI–FES group, and there was no significant difference in the FES group. Both the global and local graph theory measures of the brain network of patients with chronic stroke in the BCI–FES group were improved after rehabilitation training. The node strength in the contralesional hemisphere and central region of patients in the BCI–FES group was significantly higher than that in the FES group after the intervention, and a significant increase in the node strength of C4 in the contralesional sensorimotor cortex region could be observed in the BCI–FES group. These results suggest that BCI–FES rehabilitation training can induce clinically significant improvements in motor function of patients with chronic stroke. It can improve the functional integration and functional separation of brain networks and boost compensatory activity in the contralesional hemisphere to a certain extent. The findings of our study may provide new insights into understanding the plastic changes of brain activity in patients with chronic stroke induced by BCI–FES rehabilitation training. (shrink)

A long-standing problem in biology, economics, and social sciences is to understand the conditions required for the emergence and maintenance of cooperation in evolving populations. This paper investigates how to promote the evolution of cooperation in the Prisoner’s Dilemma game. Differing from previous approaches, we not only propose a tag-based control mechanism but also look at how the evolution of cooperation by TBC can be successfully promoted. The effect of TBC on the evolutionary process of cooperation shows that it can (...) both reduce the payoff of defectors and inhibit defection; although when the cooperation rate is high, TBC will also reduce the payoff of cooperators unless the identified rate of the TBC is large enough. An optimal timing control of switched replicator dynamics is designed to consider the control costs, the cooperation rate at terminal time, and the cooperator’s payoff. The results show that the switching control between an optimal identified rate control of the TBC and no TBC can properly not only maintain a high cooperation rate but also greatly enhance the payoff of the cooperators. Our results provide valuable insights for some clusters, for example, logistics parks and government, to regard the decision to promote cooperation. (shrink)

The Global Reporting Initiative guidelines have emerged as an important instrument used by firms to structure the content of sustainability reporting. 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, the WIND (...) Economic, and the Chinese Research Data Services Platform 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)

A reciprocal relation has been identified between teacher emotion and teacher professional identity. However, the underlying mechanism explaining this complex interaction remains underexamined. Moreover, limited attention has been paid to the emotional dimension of student-teachers' development of professional identity during university coursework. To bridge this gap, the present study explores how student-teachers' emotions reciprocally interact with their professional identities, drawing data from questionnaires, reflections, and interviews with students taking courses related to language teaching in a teacher-training university. Both quantitative and (...) qualitative data delineated the intertwined trajectories of student-teachers' emotional experiences and the development of professional identity in the learning process of becoming teachers. Mainly triggered by course-related factors, student-teachers experienced a wide array of emotions, of which the polarity and intensity were determined and mediated by their goals and actions deriving from their professional identities. Those aroused emotions, in turn, signaled the developmental process of professional identity and promoted or hindered their emerging identities. This paper concludes with some implications for initial teacher education programs. (shrink)

Aiming at the problem of low pedestrian target detection accuracy, we propose a detection algorithm based on optimized Mask R-CNN which uses the latest research results of deep learning to improve the accuracy and speed of detection results. Due to the influence of illumination, posture, background, and other factors on the human target in the natural scene image, the complexity of target information is high. SKNet is used to replace the part of the convolution module in the depth residual network (...) model in order to extract features better so that the model can adaptively select the best convolution kernel during training. In addition, according to the statistical law, the length-width ratio of the anchor box is modified to make it more accord with the natural characteristics of the pedestrian target. Finally, a pedestrian target dataset is established by selecting suitable pedestrian images in the COCO dataset and expanded by adding noise and median filtering. The optimized algorithm is compared with the original algorithm and several other mainstream target detection algorithms on the dataset; the experimental results show that the detection accuracy and detection speed of the optimized algorithm are improved, and its detection accuracy is better than other mainstream target detection algorithms. (shrink)

This co-edited volume compares Chinese and Western experiences of engineering, technology, and development. In doing so, it builds a bridge between the East and West and advances a dialogue in the philosophy of engineering. Divided into three parts, the book starts with studies on epistemological and ontological issues, with a special focus on engineering design, creativity, management, feasibility, and sustainability. Part II considers relationships between the history and philosophy of engineering, and includes a general argument for the necessity of dialogue (...) between history and philosophy. It continues with a general introduction to traditional Chinese attitudes toward engineering and technology, and philosophical case studies of the Chinese steel industry, railroads, and cybernetics in the Soviet Union. Part III focuses on engineering, ethics, and society, with chapters on engineering education and practice in China and the West. The book’s analyses of the interactions of science, engineering, ethics, politics, and policy in different societal contexts are of special interest. The volume as a whole marks a new stage in the emergence of the philosophy of engineering as a new regionalization of philosophy. This carefully edited interdisciplinary volume grew out of an international conference on the philosophy of engineering hosted by the University of the Chinese Academy of Sciences in Beijing. It includes 30 contributions by leading philosophers, social scientists, and engineers from Australia, China, Europe, and the United States. (shrink)

Complex energy systems can effectively integrate renewable energy sources such as wind and solar power into the information network and coordinate the operation of renewable energy sources to ensure its reliability. In the voltage source converter-based high voltage direct current system, the traditional vector control strategy faces some challenges, such as difficulty in PI parameters tuning and multiobjective optimizations. To overcome these issues, a finite control set model predictive control-based advanced control strategy is proposed. Based on the discrete mathematical model (...) of the grid-side voltage source converter, the proposed strategy optimizes a value function with errors of current magnitudes to predict switching status of the grid-side converter. Moreover, the abilities of the system in resisting disturbances and fault recovery are enhanced by compensating delay and introducing weight coefficients. The complex energy system in which the wind power is delivered by the voltage source converter-based high voltage direct current system is modeled by Simulink and simulation results show that the proposed strategy is superior to the tradition PI control strategy under various situations, such as wind power fluctuation and fault occurrences. (shrink)

The coronavirus disease 2019 pandemic has fueled anti-Asian, especially anti-Chinese sentiments worldwide, which may negatively impact diasporic Chinese youths’ adjustment and prosocial development. This study examined the association between compassion, discrimination and prosocial behaviors in diasporic Chinese youths during the COVID-19 pandemic. 360 participants participated and completed the multi-country, cross-sectional, web-based survey between April 22 and May 9, 2020, the escalating stage of the pandemic. This study found compassion as prosocial behaviors’ proximal predictor, while discrimination independently predicted participation in volunteering, (...) and could potentially enhance the association between compassion and charitable giving. These findings suggest that prosociality among young people is sensitive to social context, and that racial discrimination should be considered in future prosocial studies involving young members of ethnic and racial minorities. (shrink)