In this paper, we propose a time-delayed predator-prey model with Holling-type II functional response, which incorporates the gestation period and the cost of fear into prey reproduction. The dynamical behavior of this system is both analytically and numerically investigated from the viewpoint of stability, permanence, and bifurcation. We found that there are stability switches, and Hopf bifurcations occur when the delay τ passes through a sequence of critical values. The explicit formulae which determine the direction, stability, and other properties of (...) the bifurcating periodic solutions are given by using the normal form theory and center manifold theorem. We perform extensive numerical simulations to explore the impact of some important parameters on the dynamics of the system. Numerical simulations show that high levels of fear have a stabilizing effect while relatively low levels of fear have a destabilizing effect on the predator-prey interactions which lead to limit-cycle oscillations. We also found that the model with or without a delay-dependent factor can have a significantly different dynamics. Thus, ignoring the delay or not including the delay-dependent factor might result in inaccurate modelling predictions. (shrink)

In this study, an accurate convergence time of the supertwisting algorithm is proposed to build up a framework for nonaffine nonlinear systems’ finite-time control. The convergence time of the STA is provided by calculating the solution of a differential equation instead of constructing Lyapunov function. Therefore, precise convergence time is presented instead of estimation of the upper bound of the algorithm’s reaching time. Regardless of affine or nonaffine nonlinear systems, supertwisting control provides a general solution based on virtual control law (...) skill ensuring the output of the systems converges to the origin point at exact time. Benchmark tests are simulated to demonstrate the effectiveness and efficiency of the algorithm. (shrink)

In Heidegger, “thinking” and “poetry” are inseparable, and the interpretation of poetry is an important approach for him to express his philosophical thinking. His phenomenological approach is a path to return to the things themselves, i.e, to see the facticity and understand the meaning of existence in the lived experience of existential situations. Themes such as “anxiety”, “alien”, “soul and Earth”, “words” can reveal the existential situations in Chinese and German poems through a cross-cultural interpretation from Heidegger’s perspective.

Rado’s Conjecture is a compactness/reflection principle that says any nonspecial tree of height ω1 has a nonspecial subtree of size ℵ1. Though incompatible with Martin’s Axiom, Rado’s Conjecture turns out to have many interesting consequences that are also implied by certain forcing axioms. In this paper, we obtain consistency results concerning Rado’s Conjecture and its Baire version. In particular, we show that a fragment of PFA, which is the forcing axiom for Baire Indestructibly Proper forcings, is compatible with the Baire (...) Rado’s Conjecture. As a corollary, the Baire Rado’s Conjecture does not imply Rado’s Conjecture. Then we discuss the strength and limitations of the Baire Rado’s Conjecture regarding its interaction with stationary reflection principles and some families of weak square principles. Finally, we investigate the influence of Rado’s Conjecture on some polarized partition relations. (shrink)

Journal of Chinese Philosophy, EarlyView.

This study draws on the substitutes for leadership theory to investigate the association of strengths-based leadership with employee turnover intention and the mediating role of felt obligation for constructive change and the moderating role of job control in the linkage. Data were collected using a three-wave survey from a sample of 317 employees working in a variety of enterprises in China. The multiple regression analyses with bootstrapping procedure were utilized to examine the proposed hypotheses. The results indicate that strengths-based leadership (...) negatively relates to turnover intention and felt obligation for constructive change partially mediates the relationship between strengths-based leadership and turnover intention. Furthermore, job control, acting as a substitute for strengths-based leadership, negatively moderates the indirect relationship between strengths-based leadership and turnover intention via felt obligation for constructive change. This study contributes to the literature of strengths-based leadership and the substitutes for leadership theory by enhancing our understanding of the effect of job control. (shrink)

This timely book offers revealing insights into the changing role of China in world governance as exemplified by the Silk Road Initiative, the People's Republic's first published major initiative for external affairs. Focusing on various aspects of the Silk Road Initiative, particularly those that are largely neglected in current discussions, including culture and philosophy, finance and investment, environmental protection and social responsibility, judiciary and lawyers, the authors explore a wide range of contexts in which China's role as an emerging power (...) in international relations and international law is examined. In the current era of ever-increasing populism, protectionism and challenges to globalization, the authors explore the Chinese philosophy underpinning Chinese norms of regional and international development. Bearing in mind the political and economic uncertainties hampering the establishment of such norms, the authors offer crucial insights into how the Silk Road Initiative could or should be developed and regulated. Given its depth of coverage, the book is an indispensable read for anyone interested in the Initiative and its social-legal implications. (shrink)

With the continuous development and improvement of Internet media technologies in China, the influence of livestream e-commerce is becoming increasingly prominent, and an increasing number of people are engaging in consumption activities in this field. It is important to study consumer stickiness in livestream e-commerce to promote economic structure adjustment and innovation-driven development. Therefore, in this study, we adopted the expectation confirmation theory as the theoretical framework and analyzed the ECT and stickiness. The study considered satisfaction as the previous influencing (...) factor of user and consumer stickiness, replaced the continuance intention in the expectation confirmation model with consumer stickiness as the explanatory variable, introduced the variable of perceived playfulness as the value perception after user experience, and established a consumer stickiness factors model. A total of 262 valid questionnaires were collected in this study, and SmartPLS analysis along with interviews were used to justify the limitations of data analysis. The results of the study demonstrated a significant effect of perceived usefulness and confirmation on satisfaction, a significant effect of confirmation on perceived usefulness, a significant effect of satisfaction on stickiness, and a significant effect of confirmation on perceived playfulness. Based on findings from the data analysis and interviews, we further proposed rationalized recommendations, and aimed to provide some theoretical guidance for future research on live streaming. (shrink)

The existing computer technology is used to conduct an in-depth study and analysis of drilling waste treatment, and the results are analyzed by computer simulation optimization algorithms. Based on the system theory, we define the research system, combine the unique characteristics of the technological innovation mechanism of drilling waste treatment, and use the internal and external factors affecting the technological innovation dynamics of drilling waste treatment, such as drilling waste treatment capacity, from the current actual situation. On this basis, factor (...) analysis is used to analyze the factors affecting technological innovation dynamics from both internal and external aspects of the system, establish a system model of technological innovation dynamics of drilling waste disposal, and give the initial values of the simulation model. This will reduce the pollution of the environment and enhance the competitiveness of enterprises. Drilling waste treatment technology is getting increased attention, but at this stage, there is no suitable technology innovation mechanism for drilling waste treatment. Through the simulation trend chart obtained by sensitivity analysis, the key factors in the system are found, and the innovation power mechanism of drilling waste treatment technology is constructed, which provides a basis for the formulation of enterprise technological innovation strategies and the development of technological innovation activities. Research on the dynamic mechanism of drilling waste treatment technology innovation explores a waste treatment mechanism suitable for the drilling industry, so as to promote the steady development of the drilling industry and at the same time provide theoretical support for the treatment of drilling engineering waste. (shrink)

ObjectivesWuhan is the city where coronavirus disease was first reported and developed into a pandemic. However, the impact of the prolonged COVID-19 pandemic on medical staff burnout remains limited. We aimed to identify the prevalence and major determinants of burnout among medical staff 1 year after the beginning of the COVID-19 pandemic in Wuhan, China.Materials and MethodsA total of 1,602 medical staff from three hospitals in Wuhan, China, were included from November 1–28, 2021. Chi-square tests were conducted to compare the (...) prevalence of burnout across groups based on sociodemographic and professional characteristics. A multivariate analysis was performed using a forward stepwise logistic regression model.ResultsApproximately 37.39% of the medical staff experienced burnout 1 year after COVID-19 pandemic. Emotional exhaustion was the most common symptom of burnout, with 1,422 participants reporting a severe EE. Burnout was associated with insufficient social support and “neutral” or “dissatisfied” patient-physician relationships. Respondents who participated in the care of COVID-19 patients had a higher risk of burnout symptoms than those who did not participate. In particular, mental resilience was negatively associated with burnout among the medical staff.ConclusionNearly two-fifths of the participants had symptoms of burnout, with reduced personal accomplishment being the predominant symptom 1 year after COVID-19. Healthcare organizations should regularly measure and monitor burnout among the medical staff. In addition, creating positive work environments and improving the mental resilience of medical staff may be effective ways to reduce burnout. (shrink)

At Shantou University in 2008, a stand-alone engineering ethics course was first included within a Conceive–Design–Implement–Operate curriculum to address the scarcity of engineering ethics education in China. The philosophy of the course design is to help students to develop an in-depth understanding of social sustainability and to fulfill the obligations of engineers in the twenty-first century within the context of CDIO engineering practices. To guarantee the necessary cooperation of the relevant parties, we have taken advantage of the top-down support from (...) the STU administration. Three themes corresponding to contemporary issues in China were chosen as the course content: engineers’ social obligations, intellectual property and engineering safety criteria. Some popular pedagogies are used for ethics instruction such as case studies and group discussions through role-playing. To impart the diverse expertise of the practical professional practice, team teaching is adopted by interdisciplinary instructors with strong qualifications and industrial backgrounds. Although the assessment of the effectiveness of the course in enhancing students’ sense of ethics is limited to assignment reports and class discussions, our endeavor is seen as positive and will continue to sustain the CDIO reform initiatives of STU. (shrink)

This paper investigates whether and how the disclosure tone of earnings conference calls predicts future stock price crash risk. Using US public firms’ conference call transcripts from 2010 to 2015, we find that firms with less optimistic tone of year-end conference calls experience higher stock price crash risk in the following year. Additional analyses reveal that the predictive power of tone is more pronounced among firms with better information environment and lower managerial equity incentives, suggesting that extrinsic motivations for truthful (...) disclosure partially explain the predictive power of conference call tone. Our results shed light on the long-term information role of conference call tone by exploring the setting of extreme future downside risk, when managers have conflicting incentives either to unethically manipulate disclosure tone to hide bad news or to engage in ethical and truthful communication. (shrink)

In this paper, we study the problem of protecting privacy in recommender systems. We focus on protecting the items rated by users and propose a novel privacy-preserving matrix factorization algorithm. In our algorithm, the user will submit a fake gradient to make the central server not able to distinguish which items are selected by the user. We make the Kullback–Leibler distance between the real and fake gradient distributions to be small thus hard to be distinguished. Using theories and experiments, we (...) show that our algorithm can be reduced to a time-delay SGD, which can be proved to have a good convergence so that the accuracy will not decline. Our algorithm achieves a good tradeoff between the privacy and accuracy. (shrink)

BackgroundNurses are facing increasing pressure due to the progressing of society, broadening of nursing service connotation, and increasing of the masses’ demand for medical treatment. Psychiatric nurses face suicides, violence, and lost along with other accidents involving patients with mental disorders under higher psychological pressure. A coping style, which is affected by individual emotions and cognition, is an essential psychological resource that allows individuals to regulate stress. The purpose of this study was to investigate the correlation between self-acceptance and the (...) positive coping style of psychiatric nurses, and investigate the mediating role of emotional intelligence.MethodsA total of 813 psychiatric nurses from six natural regions in Shandong Province were investigated using the Self-Acceptance Questionnaire (SAQ), Emotional Intelligence Scale (EIS), Simplified Coping Style Questionnaire (SCSQ), and self-compiled general information questionnaire.ResultsThe total EIS score of psychiatric nurses was 3.848 ± 0.459. The highest score was for others’ emotional management (4.071 ± 0.548) and the lowest was for emotion perception (3.684 ± 0.483). EIS and positive coping style were statistically significant based on age, work experience, professional title, education level, and gender (p < 0.05,p < 0.01). Self-acceptance was statistically significant only for professional titles (F = 3.258,p = 0.021). Self-acceptance and emotional intelligence were positively correlated with positive coping style (r = 0.361,p < 0.01;r = 0.492,p < 0.01, respectively). The factors were also positively correlated with each other (r = 0.316,p < 0.01). Self-emotion management, others’ emotional management, emotion perception, self-acceptance, and education level jointly predicted positive coping styles (R2 = 0.305,F = 60.476,p = 0.000). Emotional intelligence partially mediated the relationship between self-acceptance and positive coping styles, with a mediating effect of 16.3%.ConclusionEmotional intelligence and self-acceptance can promote positive coping styles and improve psychiatric nurses’ mental health. (shrink)

To clarify the relationship between higher vocational students’ liking of teachers and their learning engagement, based on the theory of social exchange, 1,279 vocational students in the Yangtze River Delta and the Pearl River Delta in China are used as the research objects. From the perspective of students and teachers, SPSS and AMOS are used to conduct a two-stage linear regression analysis. The results show that students’ liking of their teachers has a positive effect on learning engagement; liking positively affects (...) students’ psychological empowerment; liking of teachers indirectly influences learning engagement through psychological empowerment; teacher’s support positively moderates the indirect relationship between liking of teachers and learning engagement through psychological empowerment. This study attempts to provide practical guidance for college students to provide learning engagement. (shrink)

The outbreak of COVID-19 at the end of 2019 has become the most devastating public health event of the 21st century. The different performances of governments and people in different countries and regions show that national values may play an important role in the prevention and control of COVID-19. Based on data from the seventh wave of World Values Survey and the Human Freedom Index report in 2020, three national value factors are extracted in this manuscript, including religious belief, government (...) satisfaction and individual freedom. Then ordinary least squares regression regression model is constructed to explore the influence of these three value factors on the prevention and control of COVID-19 and some heterogeneity analysis is implemented. The results show that religious belief and individual freedom significantly increased the COVID-19 infection rate, while government satisfaction significantly reduced the COVID-19 infection rate. The study findings have the ability to hold up after a range of robustness. For countries and regions with different COVID-19 testing policies, the influence of national values is different. Only in countries and regions with high testing rate policies and complete systems of the prevention and control of COVID-19, the influence of national values is significant. Based on these findings, a series of targeted policy recommendations for building national values in the post-epidemic era are proposed. (shrink)

The Bayesian vector autoregressive model introduces the statistical properties of variables as the prior distribution of the parameters into the traditional vector autoregressive model, which can overcome the problem of too little freedom. The BVAR model established in this paper can overcome the problem of short time series data by using prior statistical information. In theory, it should have a good effect in China’s regional economic forecasting. Most regional forecasting model literature lacks out-of-sample forecasting error evaluation research in the real (...) sense, but our early forecasts of major economic indicators provide an excellent opportunity for this paper to evaluate the actual forecast errors of the BVAR model in detail. The analysis in this paper shows that the prediction error of the BVAR model is very small and the prediction ability is very satisfactory. At the same time, this article also analyzes and points out the direction of efforts to further improve the prediction accuracy of the BVAR model. (shrink)

The web is being loaded daily with a huge volume of data, mainly unstructured textual data, which increases the need for information extraction and NLP systems significantly. Named-entity recognition task is a key step towards efficiently understanding text data and saving time and effort. Being a widely used language globally, English is taking over most of the research conducted in this field, especially in the biomedical domain. Unlike other languages, Arabic suffers from lack of resources. This work presents a BERT-based (...) model to identify biomedical named entities in the Arabic text data that investigates the effectiveness of pretraining a monolingual BERT model with a small-scale biomedical dataset on enhancing the model understanding of Arabic biomedical text. The model performance was compared with two state-of-the-art models, and it outperformed both models with 85% F1-score. (shrink)

Since the 1990s, grammatical complexity has received substantial research attention in applied linguistics. The representation of grammatical complexity has expanded in L2 writing with the application of diverse measures in empirical studies in the recent three decades. In response to this situation, we found it important to revisit grammatical complexity, and an exploratory factor analysis was applied to explore latent dimensions of grammatical complexity in L2 writing. We analyzed Lu’s 14 grammatical complexity measures in the L2 corpus of the British (...) Academic Written English Corpus. We then proposed a four-factor model with “clausal subordination,” “phrasal construction”, “global length unit” and “others.” The four factors generally align with the types of grammatical complexity proposed in Lu, but differences on six measures are also found. Noteworthy points were discussed to interpret the reasons behind the differences. Research implications are provided to show further research directions. (shrink)

The Affymetrix GeneChip is a popular microarray platform for genome‐wide expression profiling and has been widely used in functional genomics especially in the classification of cancers. Due to the updating of genome data, much of the genome information with which the chips were designed is out‐of‐date and it has been reported that many of the genes/transcripts on the chips differ from their original definition when mapping the probes to the new genome information. Dai et al. have reported that the updated (...) definition can cause as much as 30–50% discrepancy in the genes selected as differentially expressed on a heart tissue expression profiling dataset. Understanding the nature of this difference is therefore very important for the utilization of the data. In this work, with a large cancer dataset as an example, we compared two major definitions and investigated their effects on classification, clustering, discovery of differentially expressed genes and gene‐set‐based analysis. Results show that the two definitions agree well on clustering and classification results but genes and gene sets discovered as differentially expressed or enriched can be very different. Discoveries based on the Affymetrix definition can cover most of those based on the new definition, but tend to have more false positives. BioEssays 28: 739–746, 2006. © 2006 Wiley Periodicals, Inc. (shrink)

In the intelligent transportation system, the license information can be automatically recognized by the computer and the vehicle can be tracked. Red light running, illegal change of lanes, vehicle retrograde, and other illegal driving events are reasonably recorded. This is undoubtedly an effective help for the traffic police to relieve the huge work pressure. However, in China, a considerable number of vehicle tracking methods have certain limitations in resisting complex external environmental influences. The external environmental factors include but not limited (...) to variable factors such as camera movement, jitter, and severe rain and snow. These factors cannot be controlled well, so the tracking accuracy is greatly reduced. In regard to this, this paper proposes an optimization method for moving vehicle tracking based on SPF. First, according to the size of the overlapping area of the motion area between the two images, the researcher can construct and simplify the vertex adjacency matrix that reflects the characteristics of the undirected bipartite graph. Then according to the corresponding relationship between the vertex adjacency matrix and the regional behavior and vehicle behavior, the researcher completes the regional behavior analysis and vehicle behavior analysis. On this basis, a particle filter vehicle tracking algorithm based on segmentation compensation is introduced, and the vector sum of the tracked segmentation area is used as the final position of the target vehicle. In this way, as many scattered particles fall on the target area as possible, which will greatly improve the efficiency of particle utilization, enhance tracking accuracy, and avoid the problem of tracking failure caused by too fast vehicle movement. Through experimental simulation, it can be seen that the method proposed in this paper can greatly enhance the vehicle tracking ability when tracking vehicles in “complex environments.”. (shrink)

In this paper, we track the motion of multiple targets in sports videos by a machine learning algorithm and study its tracking technique in depth. In terms of moving target detection, the traditional detection algorithms are analysed theoretically as well as implemented algorithmically, based on which a fusion algorithm of four interframe difference method and background averaging method is proposed for the shortcomings of interframe difference method and background difference method. The fusion algorithm uses the learning rate to update the (...) background in real time and combines morphological processing to correct the foreground, which can effectively cope with the slow change of the background. According to the requirements of real time, accuracy, and occupying less video memory space in intelligent video surveillance systems, this paper improves the streamlined version of the algorithm. The experimental results show that the improved multitarget tracking algorithm effectively improves the Kalman filter-based algorithm to meet the real-time and accuracy requirements in intelligent video surveillance scenarios. (shrink)

Based on the concepts of pseudocomplement of L -subsets and the implication operator where L is a completely distributive lattice with order-reversing involution, the definition of countable RL -fuzzy compactness degree and the Lindelöf property degree of an L -subset in RL -fuzzy topology are introduced and characterized. Since L -fuzzy topology in the sense of Kubiak and Šostak is a special case of RL -fuzzy topology, the degrees of RL -fuzzy compactness and the Lindelöf property are generalizations of the (...) corresponding degrees in L -fuzzy topology. (shrink)

Parallel attribute reduction is one of the most important topics in current research on rough set theory. Although some parallel algorithms were well documented, most of them are still faced with some challenges for effectively dealing with the complex heterogeneous data including categorical and numerical attributes. Aiming at this problem, a novel attribute reduction algorithm based on neighborhood multigranulation rough sets was developed to process the massive heterogeneous data in the parallel way. The MapReduce-based parallelization method for attribute reduction was (...) proposed in the framework of neighborhood multigranulation rough sets. To improve the reduction efficiency, the hashing Map/Reduce functions were designed to speed up the positive region calculation. Thereafter, a quick parallel attribute reduction algorithm using MapReduce was developed. The effectiveness and superiority of this parallel algorithm were demonstrated by theoretical analysis and comparison experiments. (shrink)

Aim: To evaluate health-related quality of life of chronic hepatitis B and hepatitis B virus related cirrhosis patients and analyzed specific differences in all dimensions of HRQoL.Methods: A total of 349 patients met selection criteria were enrolled. The 36-Item Short-Form Health Survey was adopted.Results: Results showed that the physiological HRQoL of the cirrhotic group was significantly lower than that of the non-cirrhotic group, the psychological HRQoL was also lower. HRQoL was significantly negatively correlated with liver stiffness. We further evaluated the (...) risk factors associated with poor HRQoL in HBV-related cirrhosis patients. Results showed that positive HBV DNA viral load and HCC family history were independent factors associated with HRQoL in HBV-related cirrhosis. For better risk stratification of patients, multivariable analyses were conducted to explore the independent factors that affected specific physiological and psychological HRQoL. In specific physiological HRQoL, results show that marital status, positive HBV DNA viral load and antiviral drugs were independent factors associated with physiological HRQoL in cirrhosis patients. In psychological HRQoL, only HCC family history was independent risk factors associated with psychological HRQoL.Conclusion: We found that the impaired HRQoL dimensions of HBV related cirrhosis patients differ between the various subpopulations. According to our results, risk stratification, medical decision making and personalizing interventions could be made. (shrink)