It has been proved that total generalized variation can better preserve edges while suppressing staircase effect. In this paper, we propose an effective hybrid regularization model based on second-order TGV and wavelet frame. The proposed model inherits the advantages of TGV regularization and wavelet frame regularization, can eliminate staircase effect while protecting the sharp edge, and simultaneously has good capability of sparsely estimating the piecewise smooth functions. The alternative direction method of multiplier is employed to solve the new model. Numerical (...) results show that our proposed model can preserve more details and get higher image visual quality than some current state-of-the-art methods. (shrink)

The study aims to help characterize the sort of structures about which people can acquire unconscious knowledge. It is already well established that people can implicitly learn n-grams and also repetition patterns. We explore the acquisition of unconscious structural knowledge of symmetry. Chinese Tang poetry uses a specific sort of mirror symmetry, an inversion rule with respect to the tones of characters in successive lines of verse. We show, using artificial poetry to control both n-gram structure and repetition patterns, that (...) people can implicitly learn to discriminate inversions from non-inversions, presenting a challenge to existing models of implicit learning. (shrink)

Previous studies have confirmed that individual waste management behavior is influenced by both rational-based and altruistic-oriented beliefs and attitudes. Scholars incorporated personal norms in Ajzen’s theory of planned behavior and confirmed its usefulness in predicting waste management behavior. However, limited attention has been paid to the interactions between the variables in the model. Scholars also commented that the cognitive dimension was largely neglected in the current socio-psychological framework of waste management behavior. This study intends to address this issue by incorporating (...) environmental concern and environmental knowledge in the model and examining the psychological paths linking these variables to waste management behavior within the expanded model of planned behavior. Based on a cross-sectional survey among 434 university students in China, the results showed that subjective norms, perceived behavioral control, personal norms, and environmental knowledge were essential predictors of waste management behavior, whereas the direct effect of attitude was not statistically significant. Environmental concern and subjective norms could influence waste management behavior through personal norms. Environmental knowledge could influence waste management behavior indirectly through environmental concern, personal norms, and perceived behavioral control. Moreover, perceived behavioral control served as a mediator between the relationship of personal norms and waste management behavior. (shrink)

What we know about what babies know – as represented by the core knowledge proposal – is perhaps missing a place for the baby itself. By studying the baby as an actor rather than an observer, we can better understand the origins of human intelligence as an interface between perception and action, and how humans think and learn about themselves in a complex world.

This article examines one of the most crucial yet often-overlooked links in global film processes: piracy. It does so within the context of a changing digital media environment that calls for a reassessment of key dimensions: networks, globalization, technology, space and the state. More specifically, it focuses on the operation of film piracy networks in Greater China that includes the Mainland, Hong Kong and Taiwan. By zooming in on `Greater China', this article presents empirical accounts of specific links and connections (...) on and between the intersecting distribution and piracy networks. In sum, distribution and piracy in China highlight some of the most interesting and intricate insights into issues of power, control, technology, network, speed, global-regional-national dynamics, subjectivities and reflexivity. Given the complexity of the issues, this study argues for a spatial, network and process-oriented theoretical framework. (shrink)

The mentalistic orthodoxy about reason-explanations of action in the philosophy of mind has recently come under renewed attack. Julia Tanney is among those who have critiqued mentalism. The alternative account of the folk practice of giving reason-explanations of actions she has provided affords features of an agent’s external environment a privileged role in explaining the intentional behaviour of agents. The authors defend the mentalistic orthodoxy from Tanney’s criticisms, arguing that Tanney fails to provide a philosophically satisfying or psychologically realistic account (...) of reason-explanation of action. (shrink)

Alcohol use disorder is one of the most common substance use disorders contributing to both behavioral and cognitive impairments in patients with AUD. Recent neuroimaging studies point out that AUD is a typical disorder featured by altered functional connectivity. However, the details about how voxel-wise functional coordination remain unknown. Here, we adopted a newly proposed method named functional connectivity density to depict altered voxel-wise functional coordination in AUD. The novel functional imaging technique, FCD, provides a comprehensive analytical method for brain's (...) “scale-free” networks. We applied resting-state functional MRI toward subjects to obtain their FCD, including global FCD, local FCD, and long-range FCD. Sixty-one patients with AUD and 29 healthy controls were recruited, and patients with AUD were further divided into alcohol-related cognitive impairment group and non-cognitive impairment group. All subjects were asked to stay stationary during the scan in order to calculate the resting-state gFCD, lFCD, and lrFCD values, and further investigate the abnormal connectivity alterations among AUD-NCI, ARCI, and HC. Compared to HC, both AUD groups exhibited significantly altered gFCD in the left inferior occipital lobe, left calcarine, altered lFCD in right lingual, and altered lrFCD in ventromedial frontal gyrus. It is notable that gFCD of the ARCI group was found to be significantly deviated from AUD-NCI and HC in left medial frontal gyrus, which changes probably contributed by the impairment in cognition. In addition, no significant differences in gFCD were found between ARCI and HC in left parahippocampal, while ARCI and HC were profoundly deviated from AUD-NCI, possibly reflecting a compensation of cognition impairment. Further analysis showed that within patients with AUD, gFCD values in left medial frontal gyrus are negatively correlated with MMSE scores, while lFCD values in left inferior occipital lobe are positively related to ADS scores. In conclusion, patients with AUD exhibited significantly altered functional connectivity patterns mainly in several left hemisphere brain regions, while patients with AUD with or without cognitive impairment also demonstrated intergroup FCD differences which correlated with symptom severity, and patients with AUD cognitive impairment would suffer less severe alcohol dependence. This difference in symptom severity probably served as a compensation for cognitive impairment, suggesting a difference in pathological pathways. These findings assisted future AUD studies by providing insight into possible pathological mechanisms. (shrink)

In recent years, somatosensory interaction technology, represented by Microsoft’s Kinect hardware platform, has been widely used in various fields, such as entertainment, education, and medicine. Kinect technology can easily capture and record behavioral data, which provides new opportunities for behavioral and psychological correlation analysis research. In this paper, an automatic decision-style recognition method is proposed. Experiments involving 240 subjects were conducted to obtain face data and individual decision-making style score. The face data was obtained using the Kinect camera, and the (...) decision-style score were obtained via a questionnaire. To realize automatic recognition of an individual decision-making style, machine learning was employed to establish the mapping relationship between the face data and a scaled evaluation of the decision-making style score. This study adopts a variety of classical machine learning algorithms, including Linear regression, Support vector machine regression, Ridge regression, and Bayesian ridge regression. The experimental results show that the linear regression model returns the best results. The correlation coefficient between the linear regression model evaluation results and the scale evaluation results was 0.6, which represents a medium and higher correlation. The results verify the feasibility of automatic decision-making style recognition method based on facial analysis. (shrink)

With the continuous development of the stock market, designing a reasonable risk identification tool will help to solve the irrational problem of investors. This paper first selects the stocks with the most valuable investment value in the future through the random forest algorithm in the nine-factor model and then analyzes them by using the higher-order moment model to find that different investors’ preferences will make the weight of the portfolio change accordingly, which will eventually make the optimal return and risk (...) set of the composition of the portfolio change. The risk identification system designed in this paper can provide an effective risk identification tool for investors and help them make rational judgments. (shrink)

This study aims to explore the current situation and strategy formulation of sports psychology teaching in colleges and universities following adaptive learning and deep learning under information education. The informatization in physical education, teaching methods, and teaching processes make psychological education more scientific and efficient. First, the relevant theories of adaptive learning and deep learning are introduced, and an adaptive learning analysis model is implemented. Second, based on the deep learning automatic encoder, college students’ sports psychology is investigated and the (...) test results are predicted. Finally, the current situation and development strategy of physical education in colleges and universities are analyzed. The results show that when the learning rate is 1, 0.1, and 0.01, there is no significant change in the analysis factors of recall, ndcg, item_coverage, and sps. When the learning rate is 1, their analysis factors change obviously, and it is calculated that the optimal learning rate of the model is 1. And the difficulty of the recommended test questions by using the sports psychology teaching method based on adaptive learning and deep learning is relatively stable. The test questions include various language points of sports psychology. Compared with others methods, adaptive learning and deep learning can provide comprehensive test questions for sports psychology teaching. This study provides technical support for the reform of sports psychology teaching in colleges and universities and contributes to optimizing the information-based teaching mode. (shrink)

Offshore micro integrated energy systems are the basis of offshore oil and gas engineering and play an important role in developing and utilizing marine resources. By introducing offshore wind power generation, the carbon emissions of offshore micro integrated energy systems can be effectively reduced; however, greater challenges have been posted to the reliable operation due to the uncertainty. To reduce the influence brought by the uncertainty, a multiobjective optimization model was proposed based on the chance-constrained programming ; the operating cost (...) and penalty cost of natural gas emission were selected as objectives. Then, the improved hybrid constraints handling strategy based on nondominated sorting genetic algorithm II was introduced to solve the model efficiently. Finally, the numerical studies verified the efficiency of the proposed algorithm, as well as the validity and feasibility of the proposed model in improving the economy of OMIES under uncertainty. (shrink)

Different countries have different education systems and their advantages and disadvantages. It is necessary to optimize their own higher education system and formulate policy plans to fully realize the optimization of the higher education system. For this reason, we propose to establish a continuous evaluation model of higher education health. This study mainly uses principal component analysis and entropy weight method to determine the evaluation model of higher education health status and makes autoregressive moving average model time series analysis based (...) on the higher education evaluation model, which is obtained by studying long-term trends. The future development of education realizes the evaluation of sustainability. For Vietnam, that needs to be adjusted, the evaluation indicators based on the health status of the higher education system in developing countries will be added, tested, and adjusted and combined with the ARMA model prediction to determine the time period for the policy to meet reasonable expectations, and targeted development policies are proposed. Finally, we test the sensitivity of the established model, evaluate and analyze the advantages and disadvantages of the model, And combine the full text analysis to get the final conclusion. (shrink)

本书第一章介绍王船山的生平及其著述。第二章概述王船山研究情况。第三章至第八章依次介绍清代、民国与中华人民共和国成立后的王船山研究论文与著作情况。第九章介绍香港、台湾地区的王船山研究著作。.

本书通过比较研究揭示出,在生存主义哲学和道家思想对人之生存结构的理解方面,存在着深层的共识,这是二者之间展开深度对话的"客观基础".本书分为两大部分,第一部分,包括本研究的第一章和第二章,分别对海德格 尔存在与时间和萨特存在与虚无中的生存主义思想加以呈现,诠释,以期读者能够对生存主义哲学的"标本式"理论有所了解,并为后文的比较研究提供一定的理论铺垫.第三到八章,对道家思想与生存主义思想展开多维比较. 主要围绕"无"在生存结构中的地位和作用来展开,并努力揭示出,生存主义哲学和道家思想在人的"带无生存"这一点上,有着极为醒目的相通之处.然而,在此基础上产生的价值导向,却表现出同样醒目的分梳.通过分析道 家与生存主义哲学思想上重叠性与互补性,可能为融合东西方智慧,尤其是吸收中国传统道家智慧的现代生存哲学理论体系的建立提供一定的思想素材和理论参考.

马克思主义哲学是对人类以往科学和哲学发展的科学总结,是人类思想史上的革命,是整个马克思主义学说的重要组成部分和理论基础,是无产阶级争取自身解放的科学世界观和方法论.

Empirical studies have suggested that language-capable robots have the persuasive power to shape the shared moral norms based on how they respond to human norm violations. This persuasive power presents cause for concern, but also the opportunity to persuade humans to cultivate their own moral development. We argue that a truly socially integrated and morally competent robot must be willing to communicate its objection to humans’ proposed violations of shared norms by using strategies such as blame-laden rebukes, even if doing (...) so may violate other standing norms, such as politeness. By drawing on Confucian ethics, we argue that a robot’s ability to employ blame-laden moral rebukes to respond to unethical human requests is crucial for cultivating a flourishing “moral ecology” of human–robot interaction. Such positive moral ecology allows human teammates to develop their own moral reflection skills and grow their own virtues. Furthermore, this ability can and should be considered as one criterion for assessing artificial moral agency. Finally, this paper discusses potential implications of the Confucian theories for designing socially integrated and morally competent robots. (shrink)

"先秦诸子思想研究"汇聚了二十九篇论文, 二十三篇是已发表过的, 六篇为新作.一生中的粗文可能会扩张读者视野, 如"论孔子逻辑思想在先秦逻辑史上的地位"等.

本书是学习马克思主义哲学史的参考书。书中对学习19世纪和当代马克思主义中存在的40个疑难问题进行了系统的整理和研究。.

Zhu Xi is the most important of the twelfth-century neo-Confucianists. Some consider him second only to Confucius himself in his importance to Chinese philosophy as a whole, since it is his interpretation of Confucius that has been canonical since his lifetime. This short book, modeled after the Burton Watson "Basic Writings" volumes for Zhuangzi, Xunzi, and Han Feizi, is an accessible, one-volume introduction to Zhu Xi's influential philosophical system designed especially for course use. In "classifying" Zhu Xi's conversations in the (...) Classified Conversations of Master Zhu, Li Jingde dedicated the first thirteen chapters to conversations explaining his general philosophical system. Readers are introduced to his metaphysics of principle (li), psychophysical stuff (qi), spiritual beings (guishen), human nature (xing), mind-heart (xin), and emotions (qing); and to his program of self-cultivation-that is, the curriculum that Confucians should follow to attain moral perfection. Gardner argues that these chapters constitute the best overview of Zhu Xi's basic philosophical teachings, and selections from them form the basis of his volume. Occasionally, they are supplemented with passages from the Collected Literary Writings of Master Zhu and from Zhu's commentaries on the Classics. (shrink)

本书共五章,内容包括文化模式与思维结构、现代立宪思维的理性主义认识论、自然法哲学及其在欧洲政治文化中的演进等。.