As of the end of October 2020, the cumulative number of confirmed cases of COVID-19 has exceeded 45 million and the cumulative number of deaths has exceeded 1.1 million all over the world. Faced with the fatal pandemic, countries around the world have taken various prevention and control measures. One of the important issues in epidemic prevention and control is the assessment of the prevention and control effectiveness. Changes in the time series of daily new confirmed cases can reflect the (...) impact of policies in certain regions. In this paper, a smooth transition autoregressive model is applied to investigate the intrinsic changes during the epidemic in certain countries and regions. In order to quantitatively evaluate the influence of the epidemic control measures, the sequence is fitted to the STAR model; then, comparisons between the dates of transition points and those of releasing certain policies are applied. Our model well fits the data. Moreover, the nonlinear smooth function within the STAR model reveals that the implementation of prevention and control policies is effective in some regions with different speeds. However, the ineffectiveness is also revealed and the threat of a second wave had already emerged. (shrink)

People’s comfort with and acceptability of artificial intelligence (AI) instantiations is a topic that has received little systematic study. This is surprising given the topic’s relevance to the design, deployment and even regulation of AI systems. To help fill in our knowledge base, we conducted mixed-methods analysis based on a survey of a representative sample of the US population (_N_ = 2254). Results show that there are two distinct social dimensions to comfort with AI: as a peer and as a (...) superior. For both dimensions, general and technological efficacy traits—locus of control, communication apprehension, robot phobia, and perceived technology competence—are strongly associated with acceptance of AI in various roles. Female and older respondents also were less comfortable with the idea of AI agents in various roles. A qualitative analysis of comments collected from respondents complemented our statistical approach. We conclude by exploring the implications of our research for AI acceptability in society. (shrink)

As an imitation of the biological nervous systems, neural networks, which have been characterized as powerful learning tools, are employed in a wide range of applications, such as control of complex nonlinear systems, optimization, system identification, and patterns recognition. This article aims to bring a brief review of the state-of-the-art NNs for the complex nonlinear systems by summarizing recent progress of NNs in both theory and practical applications. Specifically, this survey also reviews a number of NN based robot control algorithms, (...) including NN based manipulator control, NN based human-robot interaction, and NN based cognitive control. (shrink)

Dysregulation of lipid metabolism is a commonly observed feature associated with metabolic syndrome and leads to the development of negative health outcomes such as obesity, diabetes mellitus, non‐alcoholic fatty liver disease, or atherosclerosis. Time‐restricted feeding/eating (TRF/TRE), an emerging dietary intervention, has been shown to promote pleiotropic health benefits including the alteration of diurnal expression of genes associated with lipid metabolism, as well as levels of lipid species. Although TRF likely induces a response in multiple organs leading to the modulation of (...) lipid metabolism, a majority of the studies related to TRF effects on lipids have focused only on individual tissues, and furthermore there is a lack of insight into potential underlying mechanisms. In this review, we summarize the current insights regarding TRF effects on lipid metabolism and the potential mechanisms in adipose tissue, liver, skeletal muscle, and heart, and conclude by outlining possible avenues for future exploration. (shrink)

Based on the concept of “passengers self-help hubbing,” we build a flight schedule optimization model where maximizing the number of feasible flight connections, indicating transfer opportunities, as one objective and minimizing total slot displacements as the other objective. At the same time, the “Demand Smoothing Model” is introduced into the flight schedule optimization model to reduce the queuing delays for arrival and departure flights. We take into account all aircraft itineraries, the difficulty level of schedule coordination, and the maximum displacement (...) of any single flight acceptable to airlines when optimizing flight schedule. Given an original schedule, the model produces a feasible modified schedule that obeys the slot limits specified for an airport without canceling any flights, increases transfer opportunities, and improves on-time performance for hub airports while reducing interference with airline scheduling preferences. The model was verified with the operating data of the Urumqi international airport, and the results show that minor adjustments to flight schedules can increase the transfer opportunities of the airport and significantly reduce flight queuing delays. (shrink)

Understanding how teacher leaders are engaged in curriculum affairs is critical with the implementation of instructional decentralization. The current study adopts a qualitative approach to investigate Teaching Research Group leaders’ involvement in curriculum leadership in the Chinese context. It explores the conceptions of TRG leaders by interviewing 20 of them, observing four meetings held by TRG leaders, and collecting 10 extracts from appraisal summaries of TRG leaders in secondary schools in China. Drawing on the findings, this paper examines the characteristics (...) of TRG leader’s engagement in CL. More importantly, data highlighted significant problems the participants perceived and faced in their work as TRG leaders, which consisted of amplifying the necessity for empowering TRG leaders and identifying the phenomenon that said leaders are less empowered and less motivated to undertake the CL role. The results add to the international body of knowledge on the teachers’ engagement in CL. (shrink)

Extant studies of corporate hypocrisy have largely overlooked its implications for employees until recently. Drawing upon social information processing theory, we theorize the impact of corporate hypocrisy on employee silence—an employee behavior potentially detrimental to both organizations and society, as well as the underlying mediating and moderating mechanisms. We empirically tested our hypotheses with two studies. In Study 1, we found that corporate hypocrisy was positively related to employee silence through both employee cognitive trust and employee prosocial motivation. In Study (...) 2, we revealed that consumer pressure weakened the mediating roles of employee cognitive trust and prosocial motivation, while regulatory pressure strengthened these roles. Overall, this study sheds light on whether, how, and when employees remain silent when they perceive corporate hypocrisy. Implications for theory and practice are discussed. (shrink)

A nonlinear coupled wing model subject to unknown external disturbances is proposed in this paper. Since the model is modeled by partial differential equations, the traditional control design scheme based on the ordinary differential equation model is not applicable, and the control law design becomes very complex. In this paper, a new antidisturbance boundary control scheme based on a finite time convergent disturbance observer is proposed. The control laws are designed based on the new disturbance observers to make the external (...) disturbance errors converge to zero in a finite time and ensure the uniformly bounded stability of the controlled system. Finally, the effectiveness of the controllers and the finite-time convergence of disturbance errors are verified by the simulation and comparison. (shrink)

It is generally believed that moral reductionism is immune from notorious problems in moral metaphysics and epistemology, such as the problem of moral explanation – it is at least on this dimension that moral reductionism scores better than moral anti- reductionism. However, in this article I reject this popular view. First, I argue that moral reductionism fails to help vindicate the explanatory efficacy of moral properties because the reductionist solution is either circular or otiose. Second, I attempt to show that (...) a successful vindication, if any, of moral explanation requires moral-descriptive irreducibility. My discussion thus raises an explanatory challenge to moral reductionism. (shrink)

Type 2 diabetes mellitus is associated with cognitive impairment in many domains. There are several pieces of evidence that changes in neuronal neuropathies and metabolism have been observed in T2DM. Structural and functional MRI shows that abnormal connections and synchronization occur in T2DM brain circuits and related networks. Neuroplasticity and energy metabolism appear to be principal effector systems, which may be related to amyloid beta deposition, although there is no unified explanation that includes the complex etiology of T2DM with cognitive (...) impairment. Herein, we assume that cognitive impairment in diabetes may lead to abnormalities in neuroplasticity and energy metabolism in the brain, and those reflected to MRI structural connectivity and functional connectivity, respectively. (shrink)

Synthetic physicalism—understood as the view that while mental concepts are distinct from physical concepts, mental properties are nonetheless identical to physical properties—is the dominant type of reductive physicalism in the philosophy of mind. With a focus on phenomenal concepts, this article examines two competing versions of synthetic physicalism: the demonstrative approach and the constitutive approach, both of which attempt to cash out the common idea that phenomenal concepts directly refer to phenomenal properties. I aim to argue that the synthetic physicalist (...) is impaled on a dilemma in addressing what I call the problem of double aspect: the mental-physical conceptual distinction seems to imply property dualism at a new level. Either she adopts the demonstrative approach or she goes for the constitutive approach, but neither option is acceptable. (shrink)

In this paper we prove that any c. e. degree is splittable with an c. e. infimum over any lesser c. e. degree in the class of d-c. e. degrees.

Greed is one of the most common features of human nature, and it has recently attracted increasing research interest. The aims of this paper are to provide one of the first empirical investigations of the effects of greed on job performance and to explore the mediating role of the need for social status and perceived distributive justice. Using a working sample (N = 315) from China, the current study found that greed promoted both task and contextual performance through the intermediary (...) effect of the need for social status. At the same time, greed inhibited both types of performance through perceived distributive justice. These results confirmed our hypothesis that greed is a double-edged sword with opposite effects on one’s performance. The findings suggest that organizations should both address greedy employees’ social status concerns and ensure that they are treated fairly so that organizations can fully utilize the talents of greedy people and channel their energy in a beneficial direction. (shrink)

The automated valuation of benchmark land price plays an essential role in regulating land demand in Chinese real-estate market as the big data are currently accumulated rapidly. However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land price-influencing factors. In this paper, an effective data-driven automated valuation framework is proposed for valuing real estate assets by combining a GIS and neural network technologies. This framework can automatically obtain the values of spatial factors affecting (...) land price from GIS and generate training set data for training the neural network to identify the complex relationship between all kinds of factors and benchmark land prices. The effectiveness and universality of the framework is verified via the data of benchmark land prices in Wuhan. The framework can be applied for automated benchmark land price valuation in other cities. (shrink)

Point-of-interest recommendations are a popular form of personalized service in which users share their POI location and related content with their contacts in location-based social networks. The similarity and relatedness between users of the same POI type are frequently used for trajectory retrieval, but most of the existing works rely on the explicit characteristics from all users’ check-in records without considering individual activities. We propose a POI recommendation method that attempts to optimally recommend POI types to serve multiple users. The (...) proposed method aims to predict destination POIs of a user and search for similar users of the same regions of interest, thus optimizing the user acceptance rate for each recommendation. The proposed method also employs the variable-order Markov model to determine the distribution of a user’s POIs based on his or her travel histories in LBSNs. To further enhance the user’s experience, we also apply linear discriminant analysis to cluster the topics related to “Travel” and connect to users with social links or similar interests. The probability of POIs based on users’ historical trip data and interests in the same topics can be calculated. The system then provides a list of the recommended destination POIs ranked by their probabilities. We demonstrate that our work outperforms collaborative-filtering-based and other methods using two real-world datasets from New York City. Experimental results show that the proposed method is better than other models in terms of both accuracy and recall. The proposed POI recommendation algorithms can be deployed in certain online transportation systems and can serve over 100,000 users. (shrink)

One of the most efficient nondestructive methods for pipeline in-line inspection is magnetic flux leakage inspection. Estimating the size of the defect from MFL signal is one of the key problems of MFL inspection. As the inspection signal is usually contaminated by noise, sizing the defect is an ill-posed inverse problem, especially when sizing the depth as a complex shape. An actor-critic structure-based algorithm is proposed in this paper for sizing complex depth profiles. By learning with more information from the (...) depth profile without knowing the corresponding MFL signal, the algorithm proposed saves computational costs and is robust. A pinning strategy is embedded in the reconstruction process, which highly reduces the dimension of action space. The pinning actor-critic structure helps to make the reward for critic network more efficient when reconstructing the depth profiles with high degrees of freedom. A nonlinear FEM model is used to test the effectiveness of algorithm proposed under 20 dB noise. The results show that the algorithm reconstructs the depth profile of defects with good accuracy and is robust against noise. (shrink)

Risky driving behavior is a major cause of traffic conflicts, which can develop into road traffic accidents, making the timely and accurate identification of such behavior essential to road safety. A platform was therefore established for analyzing the driving behavior of 20 professional drivers in field tests, in which overclose car following and lane departure were used as typical risky driving behaviors. Characterization parameters for identification were screened and used to determine threshold values and an appropriate time window for identification. (...) A neural network-Bayesian filter identification model was established and data samples were selected to identify risky driving behavior and evaluate the identification efficiency of the model. The results obtained indicated a successful identification rate of 83.6% when the neural network model was solely used to identify risky driving behavior, but this could be increased to 92.46% once corrected by the Bayesian filter. This has important theoretical and practical significance in relation to evaluating the efficiency of existing driver assist systems, as well as the development of future intelligent driving systems. (shrink)

Financial wellbeing is an emerging variable in business psychology that is expected to measure overall financial status and future financial trajectories. Financial intelligence and wellbeing have been key determining factors for the financial performance of entrepreneurs. The present study aimed to examine the crucial financial determinants and social capital factors for the entrepreneurial intentions and their financial performances among the 326 entrepreneurs in China. The study's findings showed that the key financial indicators and social capital are significantly related to entrepreneurial (...) intentions, which considerably predict the entrepreneurial financial performance. The mediating relationships also reported that entrepreneurial intentions and financial intelligence significantly mediate the relationship among social capital, financial wellbeing, and entrepreneurial financial performance. The present study has highlighted the implications for potential entrepreneurs for improving their financial performance through sustainable social capital, financial wellbeing, and financial intelligence. This study will also help the strategists in screening the individuals registering as entrepreneurs based on their financial intelligence quotient. The present study enriches the literature by offering an integrated model on financial wellbeing and entrepreneurial financial performance. (shrink)

Objectives: This study aimed to provide a comprehensive understanding of all intervention for learning burnout by meta-analyzing their effects.Methods: Relevant studies that had been published up to September 18, 2020, were identified through a systematic search of the PubMed, Web of Science, the China National Knowledge Infrastructure, and Wan Fang databases. Eligible studies included randomized control trials of any learning burnout intervention conducted among students. The Jadad scale was used to evaluate the quality of the study. Random-effect meta-analyses, subgroup analyses, (...) meta-regression analysis, and sensitivity analysis were conducted. Funnel plots and Egger's tests were used to evaluate publication bias. Duval and Tweedie's non-parametric trim-and-fill method was used to adjust the effect of publication bias.Results: Of the 5,245 articles found, 39 met the inclusion criteria for the systematic review. There were 3,400 students, including 1,847 students in the intervention group and 1,553 in the control group. A meta-analysis of 44 studies showed that the interventions were effective. Subgroup analyses were conducted according to education, scales, intervention measures, and intervention time. The results showed that, compared with the control group, the learning burnout scores of undergraduates, secondary vocational students, and middle school students were significantly lower. Based on different scales, all interventions were also effective. The funnel plot was asymmetric and consistent with the results of Egger's test. The trim-and-fill method was used, and seven missing studies were merged to obtain a symmetric funnel plot.Conclusions: This meta-analysis indicated that learning burnout interventions are effective. The subgroup analyses showed that group counseling is the most widely used, exercise intervention is probably the most effective, and 8 weeks or more is the appropriate intervention time. An integrated intervention study based on the factors of learning burnout adds value. More studies are needed to supplement the results in the future. (shrink)

To improve the personalized service of cultural tourism, anticipatory calculation has become an essential technology in the content design of intelligence navigation system. Culture tourism, as a form of leisure activity, is being favored by an increasing number of people, which calls for further improvements in the cultural consumption experience. An important component of cultural tourism is for tourists to experience intangible cultural heritage projects with local characteristics. However, from the perspective of user needs and the content adaptive system, there (...) are few suitable intelligent navigation and user demand anticipatory systems for intangible cultural heritage content. Purple clay culture is one of the first batches of national intangible cultural heritage protection projects in China. Therefore, taking purple clay culture exhibition as an example, this paper attempts to analyze the personalized information demand of tourism consumption experience in intangible cultural heritage communication activities with affective computing and meaning-driven innovative design method, by taking the content design in the navigation system as the research object. This paper uses the theory of planned behavior to calculate the relationship between tourists’ attitude, experience behavior, and display information demand. The findings indicate two issues. First, tourists’ demand for the entertainment and leisure attributes of intangible cultural heritage is greater than the demand for educational function attributes. Second, the meaning elements of information can change tourists’ beliefs in intangible cultural heritage and affect their attitude and behavior toward such heritage. According to the research results, strengthening the meaning elements of specific group information can improve people’s cultural identity and tourism satisfaction. The research results provide the basis for the content design direction of future museum intelligent navigation systems. (shrink)

The aim of this study is to develop an integrative model linking the effect of authoritarian leadership and differential leadership on employee turnover intention, and further explore the moderating role of the in-group/out-group on the above-mentioned relationships. We collected a sample of 624 supervisor–subordinate dyads from 87 teams in Mainland China and Taiwan. We find that, at the individual level, authoritarian leadership is positively related with employee turnover intention, and the relationship will be enhanced especially when the subordinate is an (...) in-group member. Through hierarchical linear modeling analysis, we find a negative relationship between differential leadership and employee turnover intention, significantly moderated by the within-team mean degree and the within-team variance degree of in-group/out-group. Contributions, limitations, and future research directions are discussed. (shrink)

The Exclusion Argument has afflicted non-reductionists for decades. In this article, I attempt to show that emergentism—the view that mental entities can downwardly cause physical entities in a non-overdetermining way—is the most plausible approach to solving the exclusion problem. The emergentist approach is largely absent in contemporary philosophy of mind, because emergentism rejects the Causal Closure of Physics, a doctrine embraced by almost all physicalists. This article, however, challenges the consensus on causal closure and defends a physicalist version of emergentism. (...) On closer examination, I find that neither physical evidence nor physicalist considerations can satisfactorily support causal closure. Moreover, I argue that two competing approaches that accept causal closure, compatibilism and autonomism, involve ad hoc postulations of mental causation. Therefore, all things considered, emergentism is the best option available to non-reductive physicalists. (shrink)

A growing number of philosophers are bringing interventionism into the field of supervenient causation. Many argue that interventionist supervenient causation is exempted from the fixability condition. However, this approach looks ad hoc, inconsistent with the general interventionist requirement on fixation. Moreover, it leads to false judgments about the causal efficacy of supervenient/subvenient properties. This article aims to develop a novel interventionist account of supervenient causation that respects the fixability requirement. The treatment of intervention and fixation that I propose can accommodate (...) some theoretical constraints on causation and deliver correct causal verdicts in classic examples. It is also worth noting that this interventionist account offers a promising defense of mental causation without postulating mental-physical overdetermination. (shrink)

The study of dialectical logic has a history of nearly one hundred years in China. It is significant for understanding both the growth of Chinese logic and the Sinicization of Marxism to review dialectical logic in the context of introducing the study of Marxism in China. Debates about dialectical logic in Chinese academic circles involve not only the problems of logic itself, but more importantly the understanding of Marxist philosophy. In the 1920s and 1930s, some Marxist researchers in China were (...) influenced by the philosophers and logicians of the former Soviet Union, and they came very close to equating dialectical logic with Marxist dialectics. They also identified the formal logic originating from ancient Greece as metaphysics, praising the former and criticizing the latter. In the upsurge of Marxist philosophy in the 1950s and 1960s, Chinese logicians carried out normal and formal academic research on dialectical logic. During the period from the end of 1970s to the end of 1990s, the research and teaching of dialectical logic in China reached its heyday, and logicians performed comprehensive and detailed research on some critical issues, including the basic laws of dialectical logic, which they tried to formalize. Since the beginning of the 21st century, dialectical logic has ceased to prosper and has faded from the core field of the discipline of logic, although some honorable scholars still persist in studying it. (shrink)

The Exclusion Argument, which aims to deny the causal efficacy of irreducible mental properties, is probably the most serious challenge to non-reductive physicalism. Many proposed solutions to the exclusion problem can only reject simplified exclusion arguments, but fail to block a sophisticated version I introduce. In this paper, I attempt to show that we can refute the sophisticated exclusion argument by appeal to a sophisticated understanding of causation, what I call the 'Dual-condition Conception of Causation'. Specifically, I argue that the (...) dual-condition account of causation gives strong support to the so-called 'Autonomy Solution', which contends that even if mental properties are unable to cause (fundamental) physical properties, they can still cause higher-level properties (such as mental, behavioral, and social properties)—if so, human agency would be preserved in the physical world. (shrink)

Background There is a high incidence of burns in China and the sequelae of post-burn scar growth, disfigurement, and other body image disorders can cause serious psychological distress to burns patients, and negatively affecting the patient’s dignity. However, there is limited knowledge relating to the dignity of burns patients. Aim To investigate the factors that affect dignity in burns patients. Design Cross-sectional study. Participants and research context We recruited 323 burn patients from the burn unit of a tertiary care hospital. (...) The Patient Dignity Scale, Burn Specific Health Scale-Brief, Hospital Anxiety and Depression Scale were used to assess burn patients’ dignity, quality of life, anxiety, and depression, respectively. 18 sociodemographic variables were included in the questionnaire. Ethical considerations Before the data were collected, the study protocol was reviewed and approved by the Ethics Committee of the Guangzhou Red Cross Hospital of Jinan University (Reference: 2022-149-02) and all patients provided and signed informed consent forms. Findings This study included 323 burns patients; of these, 26 (8%) had a mild loss of dignity, 94 (29.1%) had a moderate loss of dignity, 125 (38.7%) had a severe loss of dignity, and 78 (24.1%) had a very severe loss of dignity. The main factors that influence the loss of dignity in burns patients, including the department in which the patient was treated after their burns, gender, the clinical stage of the burn, quality-of-life, depression, resident medical insurance, the cause of the burn, and the burn site. Conclusions In most cases, the loss of dignity after burn injury is serious. Clinical health care professionals can provide personalized whole-life dignity care for patients by considering the factors that affect the dignity of burns patients, developing targeted dignity management programs, and implementing individualized interventions to maintain dignity, thus helping burns injury patients return to social life and work. (shrink)

Moral education is a core component of ideological and political courses in primary and secondary schools and universities in China, and also an important part of contemporary Chinese Marxist educational theory and practice. In Chinese senior high schools, the main curriculum and platform for moral education is ideological and political courses. The Ideological and Political Curriculum Standards for General Senior High Schools (2017 Edition, 2020 Revised) issued by the Ministry of Education of the People’s Republic of China explicitly includes a (...) course on logical thinking in the ideological and political curriculum in general senior high schools, strengthening the importance of logic in moral education there. In this paper, the authors explain the necessity of intensifying logic training for contemporary Chinese teenagers, introduce and interpret the relevant contents in the Ideological and Political Curriculum Standards for General Senior High Schools (2017 Edition, 2020 Revised), and put forward some theoretical suggestions on how to conduct teaching on the subject of logic. (shrink)

The value–attitude–behavior and the theory of planned behavior appear to provide limited explanation for consumer green purchase behavior. This study aims to examine the relationship between pro-environmental value, consumption value, and TPB toward green car purchasing intention among the young Chinese generation. A total of 541 student responses were collected, and the results showed that altruistic value positively influenced subjective norm and perceived behavioral control, but negatively influenced green purchase attitude. Biospheric value positively influenced GPA and PBC. Function value and (...) emotional value positively influenced GPA, respectively, and emotional value fully mediated the relationship between function value and GPA. Furthermore, GPA, SN, PBC positively influenced intention toward green car purchasing behavior, respectively, and SN mediated the relationship between GPA and intention. This study shows how pro-environmental value and consumption value can influence components of TPB in green car purchase intention. (shrink)