With the increasing economic development and gradual opening of China’s aviation market, the Chinese aviation industry is experiencing rapid growth and is facing some problems at the same time. Many scholars have assessed the profitability of the Chinese aviation industry using a single assessment approach. Both theory and methods in assessing the profitability of the airlines need to be developed and improved. This article presents a new integrated approach – a combination of factor analysis, principal component analysis, and gray relational (...) analysis. Based on the theory of decision making and data mining, this more reasonable and effective model overcomes the one-sidedness and limitations of the individual methods and has significant impact in theory and practice. (shrink)

Cambridge Journals Online (CJO) is the online journals publishing service of Cambridge University Press. CJO hosts leading journals across multiple disciplines.

This study explored the global cyberspace security issues, with the purpose of breaking the stereotype of people’s cognition of cyberspace problems, which reflects the relationship between interdependence and association. Based on the Apriori algorithm in association rules, a total of 181 strong rules were mined from 40 target websites and 56,096 web pages were associated with global cyberspace security. Moreover, this study analyzed support, confidence, promotion, leverage, and reliability to achieve comprehensive coverage of data. A total of 15,661 sites mentioned (...) cyberspace security-related words from the total sample of 22,493 professional websites, accounting for 69.6%, while only 735 sites mentioned cyberspace security-related words from the total sample of 33,603 non-professional sites, accounting for 2%. Due to restrictions of language, the number of samples of target professional websites and non-target websites is limited. Meanwhile, the number of selections of strong rules is not satisfactory. Nowadays, the cores of global cyberspace security issues include internet sovereignty, cyberspace security, cyber attack, cyber crime, data leakage, and data protection. (shrink)

This work explored the mediating effects of affective commitment on transformational leadership and job performance and job insecurity on transformational leadership and affective commitment. Meanwhile, the inter-relationships between the four verified the mediating effect of affective commitment, including job insecurity. The results were as follows: transformational leadership and job performance were positively related. Transformational leadership was proportional to an emotional commitment. The affective commitment had a positive impact on job performance. Transformational leadership indirectly positively affected job performance through the intermediary (...) effect of affective commitment. Transformational leadership regulated affective commitment through job insecurity. The more job security employees have, the higher the impact of transformational leadership on affective commitment; the lower the contrary. (shrink)

Is it possible for historical materialism to have a specific normative basis that allows the scientific aspects of Marx’s theory to be compatible with his political philosophy and ethics? No consensus has so far been reached on this question. The debate between the normative Marx and the non-normative Marx starts with an acknowledgement of a dichotomy between facts and value. In order to resolve this dichotomy, many studies tend to place value rather than facts at the heart of their arguments (...) – they attempt to demonstrate that Marx explored issues of justice, equality, and liberty at the normative level. However, by drawing on John R. Searle’s answer to the Humean question of ‘is’ and ‘ought’, we can adopt a different approach to the study that puts facts, rather than values, at the heart of the argument. Under this approach, Marx’s analysis of the facts of estrangement, surplus-value, and the like, does not consist of factual statements that exclude value and the scientific theories that result from them. Rather, it consists of the statement of institutional facts that contain values. In Marx’s case, a fact-sensitive normative theory is fully possible. (shrink)

With their focus on human production and consumption activities, cities incur massive energy consumption and CO2 emissions. An intercity connection is a typical complex system in which the interaction between cities is crucial for developing low-carbon outputs within the urban agglomeration. This paper presents the construction of the CO2 emission network of an urban agglomeration in the Yangtze River middle reaches megalopolis, based on the gravity model. Combined with social network analysis, a multilevel analysis framework is proposed to deal with (...) the complexity, spatiality, and visualization of the CO2 emission network with reference to the network features, structural equivalence, and the rich-club phenomenon. The following results emerged: firstly, the spatial structure of the CO2 emissions was characterized by low robustness and compactness, indicating disunity among the studied cities. Secondly, there was found to be a strong correlation between regionalism and intercity connections, with geographically close cities playing a similar role in the network. Thirdly, the “rich-club” cities, including Wuhan, Changsha, Xiaogan, and Zhuzhou, dominated the connections, covering more than 87.1% of the network in the Yangtze River Middle Reaches Megalopolis. (shrink)

Today, cities account for the majority of global energy consumption and CO2 emissions. The interaction between cities is critical for regional low-carbon development. At this time, China has turned to the full opening of the carbon trading market as an important policy tool for achieving its ambitious emission reduction goals. This paper attempts to explore the spatial relationships among cities from the perspective of carbon trading. A “multiscenarios across different spatial scales” analysis framework applied to the allocation and trading of (...) CO2 emission quotas among cities in China is proposed. Based on this framework, the carbon trading networks of 182 cities in China are specifically simulated under four different scenarios, with a comparative analysis of the networks’ complexity made from different perspectives. The results of the study are as follows: firstly, significant spatial network correlations exist between the cities’ carbon trading under each scenario. Secondly, on a national scale, there are more inner connections in carbon trading networks, with stronger correlations and robustness, while the degree of connection of intercity carbon trading is higher overall on a regional scale. Thirdly, on a national scale, no obvious core nodes exist in the network, while core nodes do exist in the overall network and in each region under the regional scale. Fourthly, cities in the central region have the highest core position overall. Finally, based on the research results, practical guidance in using the framework for achieving carbon reduction, promoting economic growth, and balancing regional development, as well as the important inspiration for policy formulation, is further discussed. (shrink)

In the process of rapid urbanization, urban heat island effect has been showing more and more significant impacts on human well-being. Therefore, a more detailed understanding of the impact of three-dimensional building morphology on UHI effect across a continuum of spatial scales will be necessary to guide and improve the human settlement.This study selected 31 provincial capital cities of mainland China to analyze the impacts of the 3D building morphology, including the number, area, height, volume, and the surface area of (...) the buildings, on the land surface temperature. By exploring how the influence of 3D building morphology on LST changes with the increase of spatial scale, this study finally recognized which 3D building morphology index is the most significant index affecting LST in different cities, and which spatial scale these 3D building morphology indexes have the most significant impact on LST. The results showed that the building area is the most important 3D building morphology parameter affecting the LST, while the building height has the slightest influence on the LST. These effects are more significant in the spatial scale of 150 m–540 m, and the spatial scale increases with the increase of building areas in developed cities. These results highlight the necessity of considering fine-grained management in the governance and alleviating of the urban thermal environment through urban planning and urban renewal strategies. (shrink)

The Depression Anxiety Stress Scale-21 is an instrument in the assessment of mental health status. The current study recruited 1,532 Chinese hospital workers [74.4% female; mean age = 31.97 years] to examine the reliability, latent structure, and measurement invariance of the DASS-21 between genders. The Cronbach’s α values were greater than 0.90 for total score. This study examined four possible models of the DASS-21 using the confirmatory factor analysis in Chinese hospital workers. The results from CFA revealed that the latent (...) structure of the DASS-21 in medical staffs is best represented by a one-factor model. Then we used the one-factor model to examine measurement invariance across genders by using a multiple-group categorical CFA. All values of root mean square error approximation were less than 0.08, all Comparative Fix Index and Tucker–Lewis Index values were greater than 0.90, all ΔCFI values were less than 0.010, and ΔRMSEA were less than 0.015. These findings supported the gender invariance of the DASS-21 among Chinese hospital workers. (shrink)

Anxious major depressive disorder is a common subtype of major depressive disorder; however, its unique neural mechanism is not well-understood currently. Using multimodal MRI data, this study examined common and specific alterations of amygdala subregions between patients with and without anxiety. No alterations were observed in the gray matter volume or intra-region functional integration in either patient group. Compared with the controls, both patient groups showed decreased functional connectivity between the left superficial amygdala and the left putamen, and between the (...) right superficial amygdala and the bilateral anterior cingulate cortex and medial orbitofrontal cortex, while only patients with anxiety exhibited decreased activity in the bilateral laterobasal and superficial amygdala. Moreover, the decreased activity correlated negatively with the Hamilton depression scale scores in the patients with anxiety. These findings provided insights into the pathophysiologic processes of anxious major depressive disorder and may help to develop new and effective treatment programs. (shrink)

According to the dual-system theories, the decisions in an ultimatum game are governed by the automatic System 1 and the controlled System 2. The former drives the preference for fairness, whereas the latter drives the self-interest motive. However, the association between the contributions of the two systems in UG and the cognitive process needs more direct evidence. In the present study, we used the process dissociation procedure to estimate the contributions of the two systems and recorded participants eye movements to (...) examine the cognitive processes underlying UG decisions. Results showed that the estimated contributions of the two systems are uncorrelated and that they demonstrate a dissociated pattern of associations with third variables, such as reaction time and mean fixation duration. Furthermore, the relative time advantage and the transitions between the two payoffs can predict the final UG decisions. Our findings provide evidence for the independent contributions of preference for fairness and self-interest maximizing inclinations to UG and shed light on the underlying processes. (shrink)

To explore the effect of horticultural therapy on cultivating College Students’ positive psychological quality and to provide reference for college students’ mental health education, 176 college students were randomly divided into experimental group and control group. The experimental group was intervened by horticulture therapy, and the Chinese college students’ mental health evaluation system and Chinese college students’ positive psychological quality scale were used to test the experimental group and the control group. There was no difference in the six dimensions of (...) positive psychological quality between the experimental group and the control group in the pre-test. After 9 weeks of intervention, the differences between the experimental group and the control group in the “cognitive dimension” and “emotional dimension” were significant. The scores of emotional dimension and transcendental dimension in the experimental group were higher than those in the pre-test ; meanwhile, there is no difference in the other four dimensions. Horticultural therapy can promote the positive psychological quality of college students. (shrink)

With an increase in the number of international students in China, there has been a simultaneous increase in their emotional problems, such as depression, as well as the importance of their emotional well-being. This study aimed to investigate the influence of social support on depression and the mediation and moderation mechanisms of this relationship in international students. In total, 349 international students in China responded to a questionnaire survey comprising the Social Support Rating Scale, Self-rating Depression Scale, Adult Attachment Scale, (...) and Self-Esteem Scale. The results showed that: attachment closeness had a significant direct predictive effect on depression; attachment closeness played a mediating role in the relationship between social support and depression; and the direct effect of social support on depression and the mediating effect of attachment and closeness are regulated by self-esteem. Therefore, interventions aimed at improving the social support, attachment closeness, and self-esteem of international students in China can be effective in reducing their depressive symptoms. (shrink)

More and more research on left ventricle quantification skips segmentation due to its requirement of large amounts of pixel-by-pixel labels. In this study, a framework is developed to directly quantify left ventricle multiple indices without the process of segmentation. At first, DenseNet is utilized to extract spatial features for each cardiac frame. Then, in order to take advantage of the time sequence information, the temporal feature for consecutive frames is encoded using gated recurrent unit. After that, the attention mechanism is (...) integrated into the decoder to effectively establish the mappings between the input sequence and corresponding output sequence. Simultaneously, a regression layer with the same decoder output is used to predict multi-indices of the left ventricle. Different weights are set for different types of indices based on experience, and l2-norm is used to avoid model overfitting. Compared with the state-of-the-art, our method can not only produce more competitive results but also be more flexible. This is because the prediction results in our study can be obtained for each frame online while the SOTA only can output results after all frames are analyzed. (shrink)

Today, money takes an important role in our life, which is accompanied by a special mental phenomenon, i.e., fetish of money. Generally, this phenomenon occurs in modern society characterized by the money economy system. And this paper tries to give a systematic argument of fetish of money in order to uncover the ontological ground of it. It will be clarified in three parts. First, the reason why money and fetish of money are historically inevitable in history will be listed out (...) and analyzed, through the discussion about the separation of individuality from sociality. Second, the ontological ground of fetish of money will be demonstratedbased on the argument of individual freedom in the way which history is considered identical with logic. This part will involve the analyses of the relationship between money and positive individual freedom, of the relationship between fetish of money and abstract individual freedom, and of mysteriousness of money and religiousness of fetish of money. Finally, there is an attempt to answer the question whether it is possible to overcome fetish of money. (shrink)

Time preference reversals refers to systematic inconsistencies between preferences and valuations in intertemporal choice. When faced with a pair of intertemporal options, people preferred the smaller-sooner option but assign a higher price to the larger-later one. Different hypotheses postulate that the differences in evaluation scale or output format between the choice and the bid tasks cause the preference reversal. However, these hypotheses have not been distinguished. In the present study, we conducted a hybrid task, which shares the same evaluation scale (...) with the bid task and shares the same output format with the choice task. By comparing these three tasks, we can figure out the key reason for time preference reversal. The eye-tracking measures reflecting attention allocation, cognitive effort and information search pattern were examined. Results showed that participants' time preference and eye-tracking measures in the hybrid task were similar to those in the choice task, but different from those in the bid task. Our findings suggest that the output format is the core reason for time preference reversal and may deepen our understanding of the mechanisms that underlie time preference reversal. (shrink)

Recently, creative deviance has been lauded to be an innovation-enhancing approach with applications in many new and high-tech domains. Previous study on antecedents to creative deviance remains scattered and vague. Our research conceptualizes creative deviance from the perspective of independent innovation and explores its antecedents, mechanisms, as well as conditions. Team authoritarian leadership is conceptualized as a contradictory unity as it mixes advantages and disadvantages. However, it is surprising to find that there are very few researches that have examined its (...) relevant influence mechanisms and boundary conditions for authoritarian leadership. Contributing to an advanced understanding of authoritarian leadership in research and development teams, we investigated whether team authoritarian leadership is positively or negatively related to creative deviance. Drawing on social information processing theory and regulatory focus theory, we supposed that team authoritarian leadership facilitates creative deviance when the degree is low and inhibits it when the degree is high; dual occupational stress and prevention regulatory focus play mediation roles between team authoritarian leadership and creative deviance respectively, both variables play a chain mediation role in that relationship; and the mindfulness characteristic of an individual moderates the inverted-U team authoritarian leadership-creative deviance association, such that this association is weaker with low individual mindfulness. With two-phase questionnaire data collected from 433 members in 82 R&D teams of high-tech enterprises in electronic information technology, new material technology, new medical technology, resource and environment technology and advanced manufacturing technology randomly selected from five provinces in eastern China, these hypotheses are supported empirically. Overall, we find that, our study broadens antecedents and the relevant occurrence mechanisms of creative deviance when studied through a leadership management lens. Moreover, our research enriches the cognate studies on authoritarian leadership by empirically demonstrating that team authoritarian leadership may function as an double-edged sword of creative deviance in the R&D workplace. These above findings offer insightful thoughts to scholars in the field of authoritarian leadership and bring practical suggestions for team superiors who seek to implement best innovation practice. (shrink)

ObjectivesThis study aims to systematically analyze the effects of mind–body exercises on post-traumatic stress disorder symptoms, depression, and anxiety in patients with PTSD. Furthermore, it intends to provide scientific evidence-based exercise prescriptions.MethodsChinese and English databases were used as data sources to search for studies on the effects of mind–body exercises on symptoms associated with patients with PTSD from January 1980 to November 2020. After a rigorous screening, 16 eligible randomized controlled trials were included in the meta-analysis.ResultsMind–body exercises exerted a significant (...) effect on PTSD symptoms [standard mean difference = −0.41, 95% confidence interval −0.64 to −0.19, p < 0.001], depression, and anxiety among patients with PTSD. Subgroup analysis demonstrated that 60–150 min per session for 8–16 weeks of mindfulness was more effective in improving symptoms in patients with PTSD under 45 years of age compared with other subgroups. For depression, 150–180 min of yoga exercises once per week was effective. For anxiety, the frequency, timing, duration, and type of mind–body exercises that are most effective in relieving anxiety in patients with PTSD cannot be determined at this time due to the limited number of eligible RCTs.ConclusionsMind–body exercises were found to be significantly effective in improving PTSD symptoms, depression, and anxiety in patients with PTSD. Therefore, they can be used as an adjunct to intervention for symptoms of patients with PTSD. However, this conclusion requires further confirmation through additional scientific and objective RCTs.Systematic Review Registration:Unique Identifier: INPLASY2020120072. (shrink)

Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...) including forecasting error and meteorological factors. Finally, the joint probability density is established by multivariate kernel density estimation to accomplish the PV power interval prediction. The proposed hybrid method is applied for the interval prediction of PV power at Yulara, Australia. Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. Results shows that the average values of nRMSE, MRE, nMAE, and R2 for the four periods are 4.45%, 0.90%, −0.15%, 3.39%, and 95.93%, respectively. Moreover, the results of interval prediction obtained by the other interval prediction approaches are compared with the proposed KMDDPC-MKDE. It shows that the average values of PICP, PINAW, ACE, and nMPICD for four periods are 93.93%, 9.50%, 3.93%, and 7.10% at 90% confidence level, respectively. Outcomes demonstrate that the proposed method can obtain more accuracy, a higher coverage rate, narrower average bandwidth, and a closer distance between the middle of interval and actual value than other methods. (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)

本书系统全面地论述了康德政治哲学的思想背景,历史哲学、道德哲学与政治哲学的关系,政治哲学的基本概念和主要思想,概括了康德对于政治哲学的主要贡献。.

本书通过事例告诉人们美的灵感究竟是怎样产生的,怎样了解审美意识的心理过程和心理结构等。.

本书从中国传统美学的生命诉求与境域缘在构成,中国美学思想之境域缘在构成论与原点范畴,"致虚""守静"思想与审美缘在构成论,"有无相生"说与缘在构成域之开放性,"阴阳"观与缘在构成思想,"万物化生"构成 思想与审美境域缘在构成说,"与'道'合一"说与缘在构成论,"诚"范畴与审美缘在构成论,审美缘在构成论的文化思想渊源,缘在构成域之审美精神等方面,对"中国美学的审美境域缘在构成论"进行了深入,全面的考察 和研究.

智慧啟發的關鍵在於「心」! 學會用平常心來享受人生的無常變化！ 學會捨棄不必要的繁瑣，讓生活回歸於簡單狀態！ 一百二十八則小品分享，讓你從「心」學會啟發智慧！ 玄學與儒學為中華文化的主要思想，儒學以四書五經為主，主要用於生活；玄學則以老子《道德經》為主，主要用於自性。李憲鳴（雲子），師承老子思想，融合玄學與儒學，並將兩者學說合而為一。期盼藉由自然的玄學定律， 教導讀者依循培德、修道的心，將人的生活意識裡一切印象拋棄，回歸重拾自性的清靜，不再受限於人性思維，而沉淪於人生苦海之中。 本書以作者自身所悟，透過淺顯易懂的經典之理與讀者分享，包含仁心、善念、崇尚自然、無私無欲、知足等結合知識與常識的經驗短文分享，期許讀者從心開始播下智慧的種子，從新學會生活的藝術，讓忙碌於生活的現代人開 始簡單生活。.

本书讲述了中国传统道德文化治国之道, 强调了传统文化对国家发展的重要性.内容包括: 故国之思, 核心之道, 庙堂之器, 大道之行及复兴之焰五个部分.