Named entity recognition is a subtask in natural language processing, and its accuracy greatly affects the effectiveness of downstream tasks. Aiming at the problem of insufficient expression of potential Chinese features in named entity recognition tasks, this paper proposes a multifeature adaptive fusion Chinese named entity recognition model. The model uses bidirectional long short-term memory neural network to extract stroke and radical features and adopts a weighted concatenation method to fuse two sets of features adaptively. This method can better integrate (...) the two sets of features, thereby improving the model entity recognition ability. In order to fully test the entity recognition performance of this model, we compared the basic model and other mainstream models on Microsoft Research Asia and “China People’s Daily” dataset from January to June 1998. Experimental results show that this model is better than other models, with F1 values of 97.01% and 96.78%, respectively. (shrink)

本书辑录了国务院领导同志在历次国务院反腐败工作会议和廉政工作会议上的重要讲话及有关部门负责同志的发言;国务院领导关于依法行政、从严治政、转变政府职能等方面的重要讲话等内容。.

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)

Westerners seem united in the belief that China has emerged as a major economic power and that this success will most likely continue indefinitely. But they are less certain about the future of China's political system. China's steps toward free market capitalism have led many outsiders to expect increased democratization and a more Western political system. The Chinese, however, have developed their own version of capitalism. Westerners view Chinese politics through the lens of their own ideologies, preventing them from understanding (...) Chinese goals and policies. In Contemporary Chinese Political Thought: Debates and Perspectives, Fred Dallmayr and Zhao Tingyang bring together leading Chinese intellectuals to debate the main political ideas shaping the rapidly changing nation. Investigating such topics as the popular "China Model", the resurgence of Chinese Confucianism and its applications to the modern world, and liberal socialism, the contributors move beyond usual analytical frameworks toward what Dallmayr and Zhao call "a dismantling of ideological straitjackets." Comprising a broad range of opinions and perspectives, Contemporary Chinese Political Thought is the most up-to-date examination in English of modern Chinese political attitudes and discourse. Features contributions from Ji Wenshun, Zhou Lian, Zhao Tingyang, Zhang Feng, Liu Shuxian, Chen Ming, He Baogang, Ni Peimin, Ci Jiwei, Cui Zhiyuan, Frank Fang, Wang Shaoguang, and Cheng Guangyun. (shrink)

In previous research comparing the Context-driven Model with the Default Model of meaning processing, the former was preferred. It predicts that contexts play an exclusively decisive role in meaning processing, whereas the latter holds that the inference of literal meaning generally goes through, unless it is subsequently defaulted or cancelled by the context it is associated with. The Standardization Model, which we added to our experiments, highlights that implicatures are figured out from standardized forms typically based on the mutual background (...) belief and speaker’s intention. We tested whether Chinese people’s processing of the gradable adjective scale conformed more to the Context-driven Model, the Default Model, or the Standardization Model. The results demonstrated that the Standardization Model is the most acceptable among the three. The findings of this study, which is the first study using the experimental paradigm on Chinese gradable adjectives, highlighted a need for further studies to investigate the same questions with different languages and cultures. (shrink)

Counterfeiting is common in many industries. For the authenticity of online channel products and to combat counterfeiting, many companies have begun to use blockchain technology to trace product information. This paper investigates a dual-channel supply chain consisting of one manufacturer and one retailer, in which the manufacturer sells its standard products through the retailer and adopts blockchain technology to launch the online channel to sell the traceable products. A Stackelberg game is developed to depict the pricing decision and channel strategy (...) choice for the manufacturer. It shows that both the manufacturer and the retailer can benefit from blockchain adoption. And the longer it takes for product traceability, the lower the price of online traceable products. It is beneficial for the manufacturer when consumers in the market are less concerned about information transparency. For consumer sensitivity, as consumers’ acceptance of direct sales channels increases, the selling prices of online traceable products have risen. Furthermore, as the traceability time-sensitivity coefficient increases, the sales price of the traceable products decreases, and the retail price of offline standard products rises. The conclusion of this paper has a certain guiding role for the dominant manufacturers in choosing whether to apply blockchain technology to improve the demand for traceable products. (shrink)

Background: Physical exercises can affect executive function both acutely and chronically, with different mechanisms for each moment. Currently, only a few reviews have elaborated on the premise that different types of exercises have different mechanisms for improving executive function. Therefore, the primary purpose of our systematic review was to analyze the effects of acute and chronic exercises on executive function in children and adolescents.Objective: We identified acute and chronic exercise studies and randomized controlled trials of executive function in children and (...) adolescents that reported overall effect, heterogeneity, and publication bias of acute and chronic exercises on executive function.Methods: We searched for RCTs of exercise interventions in children and adolescents from databases including PubMed, Web of Science, Scopus, The Cochrane Library, CNKI, and Wanfang, from January 1 2009 to December 31 2019. We performed methodological quality evaluations on the included literature using the Physiotherapy Evidence Database Scale and graded evidence with a meta-analysis using Stata 12.0 software.Results: In total, 36 RCTs were included ; the overall results of the meta-analysis indicated that acute exercises significantly improved working memory = −0.72; 95% confidence interval −0.89 to −0.56; p < 0.001), inhibitory control, and cognitive flexibility, whereas chronic exercises significantly improved working memory, inhibitory control, and cognitive flexibility.Conclusion: Acute and chronic exercises can effectively improve the executive function of children and adolescents. The effects on inhibitory control and cognitive flexibility are considered as small effect sizes, while the effects on working memory are considered as moderate effect size. Limited by the quantity and quality of the included studies, the above conclusions need to be verified with more high-quality studies. (shrink)

This study uses the Planned Risk Information Seeking Model (PRISM) to estimate the public's information seeking and avoidance intentions during the COVID-19 outbreak based on an online sample of 1031 Chinese adults and provides support for the applicability of PRISM framework in the situation of a novel high-level risk. The results indicate that information seeking is primarily directed by informational subjective norms (ISN) and perceived seeking control (PSC), while the main predictors of information avoidance include ISN and attitude toward seeking. (...) Because ISN are the strongest predictor of both information seeking and avoidance, the way the public copes with COVID-19 information may be strongly affected by individuals' social environment. Furthermore, a significant relationship between risk perception and affective risk response is identified. Our results also indicate that people who perceive greater knowledge of COVID-19 are more likely to report greater knowledge insufficiency, which results in less information avoidance. (shrink)

In this article, we study a minimal change approach to preference dynamics. We treat a set of preferences as a special kind of theory, and define minimal change preference contraction and revision operations in the spirit of the Alchourrón, Gärdenfors, and Makinson theory of belief revision. We characterise minimal contraction of preference sets by a set of postulates and prove a representation theorem. We also give a linear time algorithm which implements minimal contraction by a single preference. We then define (...) minimal contraction by a set of preferences, and show that the problem of a minimal contraction by a set of preferences is NP-hard. (shrink)

The purpose of this research is to examine the influence of servant leadership on teachers of moral education degree programs in Pakistan. By utilizing social learning, we propose that servant leadership and perceived coworker support can reduce the knowledge hiding by enhancing the sense of organization-based psychological ownership. The findings of time-lagged and multi-source data indicate that servant leadership has a negative relationship with knowledge hiding. Our results also indicate that psychological ownership mediates the effects of servant leadership on knowledge (...) hiding. Moreover, a higher level of perceived coworker support enhances the sense of psychological ownership which helps to reduce knowledge hiding. This research extends strong support for the proposition that servant leaders who adopt an employee-centered management approach, stressing personal integrity and care for employees significantly affect employee attitudes and behaviors. Moreover, this study suggests that managers should demonstrate care toward their subordinates which helps them to reduce negative behaviors. (shrink)

Smart grids are rolling out internationally, with the United States nearing completion of a significant USD4-plus-billion federal program funded under the American Recovery and Reinvestment Act. The emergence of smart grids is widespread across developed countries. Multiple approaches to analyzing the benefits of smart grids have emerged. The goals of this white paper are to review these approaches and analyze examples of each to highlight their differences, advantages, and disadvantages. This work was conducted under the auspices of a joint U.S.-China (...) research effort, the Climate Change Working Group Implementation Plan, Smart Grid. We present comparative benefits assessments of smart grid demonstrations in the U.S. and China along with a BA of a pilot project in Europe. In the U.S., we assess projects at two sites: the University of California, Irvine campus, which consists of two distinct demonstrations: Southern California Edison’s Irvine Smart Grid Demonstration Project and the UCI campus itself; and the Navy Yard area in Philadelphia, which has been repurposed as a mixed commercial-industrial, and possibly residential, development. In China, we cover several smart-grid aspects of the Sino-Singapore Tianjin Eco-city and the Shenzhen Bay Technology and Ecology City. In Europe, we look at a BA of a pilot smart grid project in the Malagrotta area west of Rome, Italy, contributed by the Joint Research Centre of the European Commission. The Irvine sub-project BAs use the U.S. Department of Energy Smart Grid Computational Tool, which is built on methods developed by the Electric Power Research Institute. The TEC sub-project BAs apply Smart Grid Multi-Criteria Analysis developed by the State Grid Corporation of China based on the analytic hierarchy process with fuzzy logic. The B-TEC and TNY sub-project BAs are evaluated using new approaches developed by those project teams. JRC has adopted an approach similar to EPRI’s but tailored to the Malagrotta distribution grid. (shrink)

The purposes of this study are to extract the essence from the in-depth study of entrepreneurial spirit and the exploration of China’s sports culture construction, find out the beneficial parts in line with China’s sports culture construction, and put forward operational suggestions and countermeasures for dealing with the relationship between entrepreneurial spirit and sports culture to help China’s sports culture construction move toward a new level. This exploration discusses the influence of entrepreneurial spirit on sports culture from the perspective of (...) cognitive regulation, and explores the importance of entrepreneurial spirit from the aspects of social psychology, system, economy, and ethics. The structure of sports culture is analyzed, and the role of entrepreneurial spirit in promoting the construction of sports culture is expounded. Moreover, a questionnaire survey is conducted to investigate the impact of entrepreneurial spirit on the construction of sports culture from the cognitive regulation perspective. The results show that most people agree with the development of the entrepreneurial spirit and positively impact the promotion of entrepreneurial spirit. Most people are not satisfied with the attention and level of sports culture construction. In China’s sports culture, the proportion of the entrepreneurial spirit is still tiny. Thereby, entrepreneurial spirit education must be vigorously promoted to enhance the integration of entrepreneurial spirit and sports culture. The entrepreneurial spirit needs to be introduced in the construction of sports culture. It is essential to do a good job in promoting entrepreneurial spirit, improving the supporting facilities related to sports culture and strengthening the correlation between sports culture and the entrepreneurial spirit. By discussing the influence of entrepreneurial spirit on sports culture, this exploration puts forward relevant opinions for developing sports culture. It is expected that they can have some reference values. This exploration provides new ideas for promoting the combination of sports culture construction and the dissemination of entrepreneurial spirit, which has crucial theoretical and practical significance. (shrink)

Because of the impact of close partner's touch on psychological and physical well-being by alleviating stress, it is important to explore the influence factors that underlie the stress-alleviating effect of close partner's touch. Previous studies suggested that the stress-alleviating effect was different when individuals were touched by different persons. Specifically, the stress was reduced significantly when the individual was touched by the close partner compared with the acquaintance and the stranger. However, whether the stress-alleviating effect of touch was modulated by (...) the close relationship quality is unknown. To examine this question, the participants performed a 3 × 2 within-subjects experiment. The results revealed that the stress of the participants alleviated significantly while close partners present with touch compared with without touch during facing a threat. We also found that the relationship quality of couple-members modulated touch-induced stress alleviation. Participants perceiving the low quality of alternatives and the high partners' commitment level showed stronger touch-induced stress-alleviating effect than participants perceiving the high quality of alternatives and the low partners' commitment level. The explained variance was around 16.8% jointly for actor and partner effects. These findings provide evidence for explaining the reasons for touch-induced alleviating stress and have important implications for predicting the future effect of interactive behaviors. (shrink)

My aim in this article is to set out some counter-intuitive claims about the challenges posed by artificial intelligence (AI) applications to the protection and enjoyment of human rights and to be your guide through my unorthodox ideas. While there are familiar human rights issues raised by AI and its applications, these are perhaps the easiest of the challenges because they are already recognized by the human rights regime as problems. Instead, the more pernicious challenges are those that have yet (...) to be identified or articulated, because they arise from new affordances rather than directly through AI modeled as a technology. I suggest that we need to actively explore the potential problem space on this basis. I suggest that we need to adopt models and metaphors that systematically exclude the possibility of applying the human rights regime to AI applications. This orientation will present us with the difficult, intractable problems that most urgently require responses. There are convincing ways of understanding AI that lock out the very possibility for human rights responses and this should be grounds for serious concern. I suggest that responses need to exploit both sets of insights I present in this paper: first that proactive and systematic searches of the potential problem space need to be continuously conducted to find the problems that require responses; and second that the monopoly that the human rights regime holds with regards to addressing harm and suffering needs to be broken so that we can deploy a greater range of barriers against failures to recognize and remedy AI-induced wrongs. (shrink)

With the rapid development of mobile devices, users can now read on the screen. Electronic reading has become a common reading style with the growth in online learning or electronic learning. E-book applications are widely developed and applied for reading on a screen. However, it is difficult for readers to change their reading habits or preference from paper-printed books to digital devices. The study of readers' continuance intention to use e-book APPs is the first step to improving e-reading. This study (...) focuses on the influential factors on undergraduates' continuance intention of e-book APPs, which analyzed and summarized the literature related to the electronic book applications and undergraduates' continuous intention, combined with the characteristics of the e-book APPs, introduced relevant theories and variables, and established the factors that influence undergraduates' continuous intention of using e-book APPs. On this basis, the paper analyzed the relationship between various influencing factors and their influence on continuous intention. A model composed of five hypotheses was constructed to test the factors influencing undergraduates' continuous intention in e-book APPs. The results indicated that of all research variables, satisfaction is the most important factor that affects continuous intention; Perceived usefulness and perceived playfulness have an indirect effect on continuous intention through satisfaction; personalization has direct effects on perceived usefulness and perceived playfulness, so it also has an indirect effect on continuous intention. The findings of the study will be helpful for designers and developers of e-book APPs and provide e-book APP suggestions for readers as well. (shrink)

This study aimed to investigate the common predictive factors between social media addiction and eating disorder symptoms, in a group of Chinese female college students. A total of 216 students completed the behavioral assessments of cognitive flexibility and sustained attention, as well as the questionnaires on anxiety, social media dependence, and eating disorders. The results indicate that SMA is significantly correlated with EDS. Structural equation modeling was used to test the model in which state anxiety, cognitive flexibility, and sustained attention (...) predicted social gain and EDS. Additionally, the results confirmed the mediating role of cognitive flexibility and sustained attention between state anxiety and SMA/EDS in the participants. The findings revealed that in the sample group, state anxiety was related to SMA and EDS through cognitive flexibility and sustained attention. These proposals reflect the significance of improving cognitive flexibility/sustained attention and reducing state anxiety to prevent EDS and SMA in female college students. (shrink)

The unprecedented 2019/20 Australian bushfires prompted this paper to conduct a transitivity analysis on the top three processes (material, relational, and verbal) in selected BBC news reports. Guided by the ecological philosophical view of “harmony with diversity, interaction, and coexistence,” the research aims to interpret ecological meanings in the text and enhance people’s awareness of environment conservation. The findings reveal that these news reports predominantly utilized material and relational processes to depict the devastating impact of the Australian bushfires on wildlife, (...) the efforts of firefighters, volunteer rescue missions for wildlife, and the roles of individuals involved. These reports also conveyed extensive ecological information, highlighting the ecological crisis arising from the fires, the threat to species diversity, and the active social responsibility of various stakeholders. This research contributes to a deeper understanding of the ecological implications of the Australian bushfires and encourages proactive ecological protection measures. (shrink)

Dynamic multiobjective optimization problems bring more challenges for multiobjective evolutionary algorithm due to its time-varying characteristic. To handle this kind of DMOPs, this paper presents a dynamic MOEA with multiple response strategies based on linear environment detection, called DMOEA-LEM. In this approach, different types of environmental changes are estimated and then the corresponding response strategies are activated to generate an efficient initial population for the new environment. DMOEA-LEM not only detects whether the environmental changes but also estimates the types of (...) linear changes so that different prediction models can be selected to initialize the population when the environmental changes. To study the performance of DMOEA-LEM, a large number of test DMOPs are adopted and the experiments validate the advantages of our algorithm when compared to three state-of-the-art dynamic MOEAs. (shrink)

Using Shanghai Tennis Masters as an example, this study seeks to explore the psychic income associated with major sports events hosting and whether the psychic income would predict the attitudes of local residents toward events hosting. In addition, the moderating effect of sport involvement on the relationship between psychic income and attitude is also tested. In this study, a questionnaire survey is adopted. The structured questionnaire was developed based on 4 parts, including the demographics of the residents, involvement in the (...) sport event, psychic income from the sport event, and their attitudes toward the sports event, there were 47 items in total. Data were collected from the local residents of Shanghai, as a result, 1,302 valid questionnaires were collected. A series of statistical analyses were conducted by using SPSS25.0 and AMOS 24.0 to examine the reliability and validity of the scales and to test the hypotheses. The results showed that the event has brought a significant level of psychic income to the local community, and the perceived psychic income would predict the attitudes of the residents toward the event hosting. The moderating effect of sports involvement on the relationship between psychic income and attitude is also confirmed. (shrink)

Through the overall situation of athletes’ competition pressure, the pressure level of participating athletes can be understood and revealed. Analyzing the sources of stress and influencing factors of athletes can find measures to relieve and reduce stress and provide theoretical reference for the regulation of athletes’ competition pressure. Based on genetic algorithm and neural network theory, this paper proposes a method of tracing the sports competition pressure based on genetic algorithm backpropagation neural network to solve the problem that traditional neural (...) network learning algorithm is slow and easy to fall into local minimum. There is no significant difference between male and female athletes in the level of competition pressure. Athletes have the same training methods and the same goals, and the competition pressure tends to be the same, with no obvious difference; athletes with different educational backgrounds have no significant differences in training, academics, sports injuries, interpersonal relationships, social expectations, and evaluations. Due to the particularity of the stage, the competition pressure of fourth-year undergraduate and third-year masters is significantly higher than that of other grades. The number of athletes participating in college table tennis tournaments has very significant differences in competition dimensions. There is significant difference in training and self-expectation dimension difference. The competition pressure of athletes who participated in the college table tennis championship for the first time was significantly higher than that of athletes who participated repeatedly. There were significant differences between athletes before and after adapting to the venue. Before adapting to the venue, the competition pressure of athletes is generally greater. After adapting to the venue, the competition pressure of athletes has been relieved. (shrink)

AimsAlcohol consumption could lead to a series of health problems and social issues. In the current study, we investigated the resting-state functional brain networks of healthy volunteers before and after drinking through graph-theory analysis, aiming to ascertain the effects of acute alcohol intake on topology and information processing mode of the functional brain networks.Materials and methodsThirty-three healthy volunteers were enrolled in this experiment. Each volunteer accepted alcohol breathalyzer tests followed by resting-state magnetic resonance imaging at three time points: before drinking, (...) 0.5 h after drinking, and 1 h after drinking. The data obtained were grouped based on scanning time into control group, 0.5-h group and 1-h group, and post-drinking data were regrouped according to breath alcohol concentration (BrAC) into relative low BrAC group (A group; 0.5-h data, n = 17; 1-h data, n = 16) and relative high BrAC group (B group; 0.5-h data, n = 16; 1-h data, n = 17). The graph-theory approach was adopted to construct whole-brain functional networks and identify the differences of network topological properties among all the groups.ResultsThe network topology of most groups was altered after drinking, with the B group presenting the most alterations. For global network measures, B group exhibited increased global efficiency, Synchronization, and decreased local efficiency, clustering coefficient, normalized clustering coefficient, characteristic path length, normalized characteristic path length, as compared to control group. Regarding nodal network measures, nodal clustering coefficient and nodal local efficiency of some nodes were lower in B group than control group. These changes suggested that the network integration ability and synchrony improved, while the segregation ability diminished.ConclusionThis study revealed the effects of acute alcohol intake on the topology and information processing mode of resting-state functional brain networks, providing new perceptions and insights into the effects of alcohol on the brain. (shrink)

Volume 16, Issue 4, September 2019, Page 493-496.

What it is to have a first person perspective? How do we come to understand our own perspective in the world? How do we take into account other people's perspectives in our social and linguistic interactions? This dissertation is an exploration of these issues. But instead of approaching them in the abstract, it aims to shed light on these difficult questions through a series of case studies. First, I examine the role of the first person perspective in our agency, and (...) explain the sense in which it is essential for action. Next, drawing on recent work in psychology, I propose an model of the development of temporal self-understanding in young children. Lastly, I develop a two-level pragmatic theory of epistemic modals. (shrink)

The intuition of clarity-valence association seems to be pervasive in daily life, however, whether there exists a potential association between clarity (i.e., operationalized as visual resolution) and affect in human cognition remains unknown. The present study conducted five experiments, and demonstrated the clarity-valence congruency effect, that is, the evaluations showed performance advantage in the congruent conditions (clear-positive, blurry-negative). Experiment 1 through 3 demonstrated the influence of the perception of clarity on the conceptualization of affective valence, while Experiment 4 & 5 (...) verified the absence of the influence of conceptualization on perception, thus the unidirectionality of clarity-valence association in cognition is confirmed. The findings extend the affective perceptual-conceptual associations into the dimension of clarity, thus providing support for the ideas of embodied cognition as well as implications for our preference for clarity and aversion to blur. (shrink)

Community search is a query-oriented variant of community detection problem, and the goal is to retrieve a single community from a given set of nodes. Most of the existing community search methods adopt handcrafted features, so there are some limitations in applications. Our idea is motivated by the recent advances of node embedding. Node embedding uses deep learning method to obtain feature representation of nodes directly from graph structure automatically and offers a new method to measure the distance between two (...) nodes. In this paper, we propose a two-stage community search algorithm with a minimum spanning tree strategy based on node embedding. At the first stage, we propose a node embedding model NEBRW and map nodes to the points in a low-dimensional vector space. At the second stage, we propose a new definition of community from the distance viewpoint, transform the problem of community search to a variant of minimum spanning tree problem, and uncover the target community with an improved Prim algorithm. We test our algorithm on both synthetic and real-world network datasets. The experimental results show that our algorithm is more effective for community search than baselines. (shrink)