It is perhaps too early in the long history of humanity to draw definitive conclusions concerning the historical trajectories of traditional socialist countries. It is well known that major changes have been occurring in these countries, with most even turning away from socialism altogether. Many explanations have been propounded for this phenomenon. Some observers explain the turn away fromsocialism as a result of the backward stage of the development of productive forces. Everyone knows that most socialist countries were set up (...) during times of poor economic conditions. Certainly, it is difficult to say how advanced the productive forces need to be in order to set up a durable and practical socialist system. In discussing the problem, I will be re-examining the practice of so-called traditionalsocialism in concentrating mostly on China, a country which has been and still is guided by its understanding of Marx’s theory of historical materialism. (shrink)

In the real world, individual resources are crucial for patients when epidemics outbreak. Thus, the coupled dynamics of resource diffusion and epidemic spreading have been widely investigated when the recovery of diseases significantly depends on the resources from neighbors in static social networks. However, the social relationships of individuals are time-varying, which affects such coupled dynamics. For that, we propose a coupled resource-epidemic dynamic model on a time-varying multiplex network to synchronously simulate the resource diffusion and epidemic spreading in dynamic (...) social networks. The equilibrium analysis of the coupled model is conducted in a general scenario where the resource generation varies between susceptible and infected states and the recovery rate changes between resourceful and noresource states. By using the microscopic Markov chain approach and Monte Carlo simulations, we determine a probabilistic framework of the intralayer and interlayer dynamic processes of the coupled model and obtain the outbreak threshold of epidemic spreading. Meanwhile, the experimental results show the trivially asymmetric interactions between resource diffusion and epidemic spreading. They also indicate that the stronger activity heterogeneity and the larger contact capacity of individuals in the resource layer can more greatly promote resource diffusion, effectively suppressing epidemic spreading. However, these two individual characters in the epidemic layer can cause more resource depletion, which greatly promotes epidemic spreading. Furthermore, we also find that the contact capacity finitely impacts the coupled dynamics of resource diffusion and epidemic spreading. (shrink)

本书主要内容包括:讲座篇:国内外因明学研究现状、略论藏传因明的特征及其逻辑意义、汉传因明叙要等;作来篇:法自相相违因的世俗解、试析龙树的“四句否定”、因明古籍叙要、论中印逻辑传统中的同一律等.

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

The extant literature has largely conceptualized abusive supervision as a hot and impulsive form of aggression. In this paper, we offer a cold and strategic perspective on how abusive supervision might be used strategically to achieve goals. Drawing on the Machiavellian literature and social interaction theory of aggression, we develop a moderated serial mediation model, in which leader Machiavellianism predicts their strategic use of abusive supervision on subordinates via the mediating role of leaders’ guanxi with direct supervisor. We further theorize (...) that this mediation effect is more pronounced when guanxi among team members (team member guanxi, TMG) is stronger, because Mach leaders are more likely to perceive high TMG as a threat to their power. Finally, we propose that Mach leaders’ strategic use of abusive supervision has negative implications for team outcomes, manifested in low levels of team voice and team organizational citizenship behaviors toward fellow team members (OCBI). Analyses of two studies—Study 1 using multi-wave data (355 leaders) from a US sample and Study 2 using a multi-wave, multi-source, and multilevel data (1252 subordinates and 273 leaders) from a Chinese sample—corroborated our model. This study provides a comprehensive examination of who, how, and when strategic abuse unfolds in the workplace and its negative implication for team outcomes. (shrink)

Antibiotic resistance in bacteria has become a great threat to global public health. Tigecycline is a next‐generation tetracycline that is the final line of defense against severe infections by pan‐drug‐resistant bacterial pathogens. Unfortunately, this last‐resort antibiotic has been challenged by the recent emergence of the mobile Tet(X) orthologs that can confer high‐level tigecycline resistance. As it is reviewed here, these novel tetracycline destructases represent a growing threat to the next‐generation tetracyclines, and a basic framework for understanding the molecular epidemiology and (...) resistance mechanisms of them is presented. However, further large‐scale epidemiological and functional studies are urgently needed to better understand the prevalence and dissemination of these newly discovered Tet(X) orthologs among Gram‐negative bacteria in both human and veterinary medicine. (shrink)

Background: Cognitive impairment is one of the core symptoms of schizophrenia, which is considered to be significantly correlated to prognosis. In recent years, many studies have suggested that metabolic disorders could be related to a higher risk of cognitive defects in a general setting. However, there has been limited evidence on the association between metabolism and cognitive function in patients with early-stage schizophrenia.Methods: In this study, we recruited 172 patients with early-stage schizophrenia. Relevant metabolic parameters were examined and cognitive function (...) was evaluated by using the MATRICS Consensus Cognitive Battery (MCCB) to investigate the relationship between metabolic disorder and cognitive impairment.Results: Generally, the prevalence of cognitive impairment among patients in our study was 84.7% (144/170), which was much higher than that in the general population. Compared with the general Chinese setting, the study population presented a higher proportion of metabolic disturbance. Patients who had metabolic disturbance showed no significant differences on cognitive function compared with the other patients. Correlation analysis showed that metabolic status was significantly correlated with cognitive function as assessed by the cognitive domain scores (p < 0.05), while such association was not found in further multiple regression analysis.Conclusions: Therefore, there may be no association between metabolic disorder and cognitive impairment in patients with early-stage schizophrenia.Trial Registration: Clinicaltrials.gov, NCT02880462. Registered August 26, 2016. (shrink)

GraphicalPatients with early- to middle-stage PD were enrolled for C-Gait assessment and traditional walking ability assessments. The correlation of C-Gait assessment and traditional walking tests were studied. Two models were established based on C-Gait assessment and traditional walking tests to explore the value of C-Gait assessment in predicting freezing of gait.ObjectiveEfficient methods for assessing walking adaptability in individuals with Parkinson’s disease are urgently needed. Therefore, this study aimed to assess C-Gait for detecting freezing of gait in patients with early- to (...) middle-stage PD.MethodPeople with PD diagnosis were recruited from April 2019 to November 2019 in Beijing Rehabilitation Hospital. The participants performed six items of walking adaptability on an instrumented treadmill augmented with visual targets and obstacles. The patient’s walking adaptability was evaluated by C-Gait assessment and traditional walking tests, and FOG-related indexes were collected as outcome measures. Two discriminant models were established by stepwise discriminant analysis; area under the receiver operating characteristic curve was used to validate the models.ResultIn total, 53 patients were included in this study. Most C-Gait assessment items had no or low correlations with traditional walking tests. The obstacle avoidance and speed of adaptation items could lead to FOG with high sensitivity. In addition, the C-Gait assessment model had slightly better discrimination of freezers from non-freezers compared with traditional walking test models ; specifically, obstacle avoidance and speed of adaptation have uniquely discriminant potential.ConclusionC-gait assessment could provide additional value to the traditional walking tests for PD. Gait adaptability assessment, as measured by C-Gait, may be able to help identify freezers in a PD population. (shrink)

IntroductionDuring the COVID-19 outbreak, many citizens were asked to stay at home in self-quarantine, which can pose a significant challenge with respect to remaining physically active and maintaining mental health. This study aimed to evaluate the prevalence of inadequate physical activity, anxiety, and depression and to explore the relationship of physical activity with anxiety and depression symptoms among Chinese college students during quarantine.MethodUsing a web-based cross-sectional survey, we collected data from 1,396 Chinese college students. Anxiety and depression were assessed with (...) the Self-Rating Anxiety Scale and the Self-Rating Depression Scale, respectively. The data on physical activity were collected by types of physical activity and the International Physical Activity Questionnaire.ResultsDuring the COVID-19 outbreak, about 52.3% of Chinese college students had inadequate physical activity. The rates of anxiety and depression symptoms were 31.0 and 41.8%, respectively. A high level of physical activity was significantly closely associated with low anxiety, while a moderate, or high level of physical activity was significantly closely associated with reduced depression after adjusting confounding demographic factors. Moreover, specific types of physical activity, such as stretching and resistance training, were negatively correlated with both anxiety and depression; doing household chores was negatively correlated with depression.ConclusionOur findings highlight specific levels and types of home-based physical activities that need to be taken into consideration to protect the mental health of college students during the COVID-19 epidemic. (shrink)

本书分四章:公平与效率的概念及其基本理论;公平效率与资本主义;公平效率与社会主义;伦理制度:公平和效率的维护机制等。.

本书聚焦学校教育评价中存在的问题及其问题症结,审视学校教育评价改革现状,针对教育评价中存在的各种倾向,理论研究者进行了大量的研究。.

Together, China and India account for almost two fifths of mankind. In purchase power parity terms the Chinese economy is the second largest in the world ahead of Japan, and the Indian economy is the fourth largest ahead of Germany. In less than two decades these two big Asian economies together might account for a quarter of the global product. Currently, however, both countries are still poor.Both countries might outgrow poverty, because potential advantages of backwardness as well as fairly strong (...) domestic investment favor growth. Concerning human capital formation China and India differ. China is much better than India in primary school education. Eradication of analphabetism is in sight in China, but far in the future in India. India, however, is much stronger in tertiary education than China. Another major difference between China and India is their degree of integration in the global economy. China benefits much more from the global division of labor than India does. China attracts much more foreign direct investment, too.In the past fifty years, Chinese economic performance was superior to the Indian performance. Nevertheless I reject the interpretation that either China’s autocracy or China’s communist ideology is responsible for China’s better performance. China started to grow faster than the global economy only after Deng Xiaoping liberalized and opened up the economy. Under Mao Zedong and during the great leap forward more than 30 million Chinese starved to death. Similar disasters did not happen in poorer India. If China and India teach a lesson about the impact of regime characteristics on growth, it is the following: Democracy promotes performance quite similar to the global average, autocracy as a constitution of arbitrariness permits much better performance or much worse performance.In the long run, the growth prospects of both China and India depend not only on their own economic policies, but also on Western readiness to take their exports. Open Western markets together with sensible policies in China and India may promote global prosperity and peace.A eux deux, la Chine et l’Inde représentent deux cinquièmes de l’humanité. En termes de capacité de pouvoir d’achat comparé, l’économie chinoise est la deuxième plus grande au monde, devant le Japon, et l’économie indienne est la quatrième plus grande, devançant l’Allemagne. Dans moins de deux décennies, ces deux gigantesques économies asiatiques pourraient représenter conjointement un quart du produit global. Aujourd’hui cependant, ces deux pays sont toujours pauvres.Les deux pays pourraient surmonter la pauvreté car les potentialités que recèle un retard économiq- ue ajoutées à un investissement intérieur relativement soutenu favorisent la croissance. En ce qui concerne la formation du capital humain, des différences existent entre la Chine et l’Inde. La Chine est meilleure que l’Inde dans le domaine de l’éducation primaire. L’éradication de l’analphabétisme semble être en vue en Chine mais est loin d’être une partie gagnée en Inde. A l’inverse, l’Inde devance la Chine dans le domaine de l’éducation tertiaire. Une autre différence majeure entre la Chine et l’Inde concerne leur degré d’intégration dans l’économie globale. La Chine bénéficie davantage de la division globale du travail que l’Inde. De plus, la Chine attire plus d’investissements directs de l’étranger. Durant les cinquante dernières années, la performance de l’économie chinoise a été supérieure à celle de l’Inde. Néanmoins, l’auteur rejette l’interprétation suivant laquelle ce serait ou l’autocratie chinoise ou l’idéologie communiste qui serait à l’origine de cette supériorité. La Chine commença à croître plus rapidement que l’économie globale seulement après que Deng Xiao Ping a libéralisé l’économie chinoise et ouvert ses frontières. Sous le règne de Mao Tsé Tung, et durant le “grand bond en avant”, plus de 30 millions de chinois sont morts de famine. De tels désastres n’ont pas été observés en Inde qui est relativement plus pauvre. Si une leçon peut être tirée des expériences chinoise et indienne à propos de l’impact des caractéristiques des régimes sur la croissance économique, c’est la suivante : la démocratie promeut des performances assez identiques à la moyenne globale, et l’autocratie en tant que constitution de l’arbitraire donne lieu à des performances bien meilleures ou bien pires. A long terme, les perspectives de croissance de la Chine et de l’Inde dépendent non seulement de leurs propres politiques, mais aussi de la volonté des pays occidentaux de digérer leurs exportations. Des marchés occidentaux ouverts et des politiques intelligentes en Chine et en Inde peuvent promouvoir la prospérité et la paix au niveau global. (shrink)

The COVID-19 pandemic cropping up at the end of 2019 started to pose a threat to millions of people’s health and life after a few weeks. Nevertheless, the COVID-19 pandemic gave rise to social and economic problems that have changed the progress steps of individuals and the whole nation. In this study, the work conditions for employees from Taiwan, Malaysia, and the Chinese mainland are explored and compared, and the relationship between support mechanisms and innovation behaviors is evaluated with a (...) view of the social cognitive career theory. This study adopts the cross-sectional survey and purposive sampling to collect questionnaires. A total of 623 copies of a questionnaire from Taiwanese, 440 copies from Malaysians, and 513 copies from mainlanders were collected in this study to compare the three groups in developing employees’ IBs. Smart-partial least squares for partial least squares structural equation modeling was applied in the structural model to conduct a verification of the hypotheses and comparative analysis in this study. According to the findings, compared with employees from the Chinese mainland, the Taiwanese and Malaysian samples show more significant paths regarding employee employability, IB, prior knowledge, perceived organizational support, self-efficacy, and job performance. Our results will offer more insights and advice concerning theories of human resource. (shrink)

Math anxiety (MA) has been suggested to decrease the math performance of students. However, it remains unclear what factors moderate this relationship. The purpose of this study was to analyze the link between MA and math performance. Studies that explored the relationship between MA and math performance, conducted from 2000 to 2019 (84 samples, N = 8680), were identified and statistically integrated with a meta-analysis method. The results indicated a robust negative correlation between MA and math performance. Furthermore, regarding the (...) analysis of moderator variables, this negative link was stronger in the studies that involved Asian students, whereas it was the weakest in the studies that involved European students. Moreover, this negative link was stronger in the studies within a senior high school group, whereas it was the weakest in the studies within an elementary group. Finally, this negative link was strongest among studies that used a custom test and studies that assessed problem-solving skills. Potential explanations and implications for research and practice are discussed. (shrink)

Background:When the contagious COVID-19 spread worldwide, the frontline staff faced unprecedented excessive work pressure and expectations of all of the society.Objective:The aim was to explore healthcare workers’ stress and influencing factors when caring for COVID-19 patients from an altruistic perspective.Methods:A cross-sectional, descriptive study was conducted in a tertiary hospital during the outbreak of COVID-19 between February and March 2020 in Wuhan, the capital city of Hubei province in China. Data were collected from 1208 healthcare workers. Descriptive statistics and multiple linear (...) regression were used to analyze the data.Ethical considerations:Research ethics approval (with the code of TJ-IRB20200379) was obtained from Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology. Written informed consent was also received from participants.Results:Less than 60% of participants chose moderate or severe stress on all stressors, indicating a low stress level among healthcare workers. The main source of stress among frontline healthcare workers caring for COVID-19 patients came from the fear of being infected, the fear of family members being infected, and the discomfort caused by protective equipment. Frontline staff who were nurses, were married, and had worked more than 20 days suffered higher stress, whereas rescue staff showed lower stress.Conclusion:The healthcare workers caring for patients with COVID-19 had low stress level, although they still had the fear of being infected or uncomfortable feeling caused by personal protective equipment. A low stress level among healthcare workers indicated their professional devotion and altruism during COVID-19 epidemic. Medical institutions and the government should continue to strengthen infection prevention measures and provide more comprehensive care involving families of frontline healthcare workers, especially nurses and married staff. It will be a lesson to other countries that awaking healthcare workers’ inside motivation and providing necessary support from government and society were significant. (shrink)

We investigate the cross-correlations of return-volume relationship of the Bitcoin market. In particular, we select eight exchange rates whose trading volume accounts for more than 98% market shares to synthesize Bitcoin indexes. The empirical results based on multifractal detrended cross-correlation analysis reveal that the nonlinear dependencies and power-law cross-correlations in return-volume relationship are found; all cross-correlations are multifractal, and there are antipersistent behaviors of cross-correlation for q=2; the price of small fluctuations is more persistent than that of the volume, while (...) the volume of larger fluctuations is more antipersistent; and the rolling window method shows that the cross-correlations of return-volume are antipersistent in the entire sample period. (shrink)

This study aimed to explore the influence the value modularity and a firm’s innovation performance, directly and indirectly, using knowledge management as mediating variable. Moreover, in this study, we used the resource integration ability as a moderator between the relationship value modularity and firm innovation performance. We collected data from the Chinese state-owned and state-controlled high-tech firms from 2011 to 2018. In this study, we used the gray comprehensive evaluation method to test the degree of value modularity, and hierarchical regression (...) analysis is used to analyze the relationship among variables. The outcomes of this study indicate that value modularity and firm innovation performance has inverted U-shaped and significant association. Similarly, results also confirm that knowledge acquisition and knowledge internalization mediate the relationship between value modularity and firm innovation performance. The finding of this research also confirms that resource integration ability negatively affects the relationship between value modularity and firm innovation performance. This paper enriches the research of the value modularity and gives certain inspiration to knowledge management. At the end of this study, we also suggest some significant practical implications. (shrink)

Infant language learners are faced with the difficult inductive problem of determining how new words map to novel or known objects in their environment. Bayesian inference models have been successful at using the sparse information available in natural child-directed speech to build candidate lexicons and infer speakers’ referential intentions. We begin by asking how a Bayesian model optimized for monolingual input generalizes to new monolingual or bilingual corpora and find that, especially in the case of the bilingual input, the model (...) shows a significant decrease in performance. In the next experiment, we propose the ME Model, a modified Bayesian model, which approximates infants’ mutual exclusivity bias to support the differential demands of monolingual and bilingual learning situations. The extended model is assessed using the same corpora of real child-directed speech, showing that its performance is more robust against varying input and less dependent than the Intentional Model on optimization of its parsimony parameter. We argue that both monolingual and bilingual demands on word learning are important considerations for a computational model, as they can yield significantly different results than when only one such context is considered. (shrink)

In 2015, the Chinese pharmacologist, Tu Youyou, was awarded the Nobel Prize for Physiology or Medicine for the discovery of artemisinin. Traditional Chinese medicine (TCM) was the source of inspiration for Tu's discovery and provides an opportunity for the world to know more about TCM as a source of medical knowledge and practice. In this article, the value of TCM is evaluated from an ethical perspective. The characteristics of ‘jian, bian, yan, lian’ are explored in the way they promote accessibility (...) and economic efficiency for TCM. The article also examines how the increased use and prevalence of TCM reflects the scientific, cultural, and ethical values of TCM and their increasing attraction in meeting major challenges to medicine and health systems currently and in the future. The article discusses safety issues within TCM, which is a controversial area, and also comments on some shortcomings and challenges which pose difficulties for more widespread and greater uptake of TCM‐derived clinical or therapeutic interventions. The article concludes that TCM is generally safe if it is used according to TCM theory and where such applications are cognizant of the strengths and weaknesses of TCM. TCM has important bioethical values which may inform potential measures for meeting challenges facing global health care systems and the article argues that it can have an increasing role in improving human health. (shrink)

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