There are two accounts of how readers of unspaced writing systems know where to move their eyes: saccades are directed toward default targets ; or saccade lengths are adjusted dynamically, as a function of ongoing parafoveal processing. This article reports an eye-movement experiment supporting the latter hypothesis by demonstrating that the slope of the relationship between the saccade launch site on word N and the subsequent fixation landing site on word N + 1 is > 1, suggesting that saccades are (...) lengthened from launch sites that afford more parafoveal processing. This conclusion is then evaluated and confirmed via simulations using implementations of both hypotheses, with a discussion of these results for our understanding of saccadic targeting during reading and existing models of eye-movement control. (shrink)

As the labeling costs in legal artificial intelligence tasks are expensive. Therefore, it becomes a challenge to utilize low cost to train a robust model. In this paper, we propose a LAIAugment approach, which aims to enhance the few-shot learning capability in legal artificial intelligence tasks. Specifically, we first use the self-training approach to label the amount of unlabelled data to enhance the feature learning capability of the model. Moreover, we also search for datasets that are similar to the training (...) set by improving the text similarity function. We conducted experimental analyses for three legal artificial intelligence tasks, including evidence extraction, legal element extraction, and case multi-label prediction, which composed of 3500 judgement documents. The experimental results show that the proposed LAIAugment method has an average F1-score of 72.3% on the three legal AI tasks, which is 1.93% higher than the baseline model. At the same time, it shows a huge improvement in few-shot learning. (shrink)

Evidences are important proofs to support judicial trials. Automatically extracting evidences from judgement documents can be used to assess the trial quality and support “Intelligent Court”. Current evidence extraction is primarily depended on sequence labelling models. Despite their success, they can only assign a label to a token, which is difficult to recognize nested evidence entities in judgment documents, where a token may belong to several evidences at the same time. In this paper, we present a novel evidence extraction architecture (...) called ATT-MRC, in which extracting evidence entities is formalized as a question answer problem, where all evidence spans are screened out as possible correct answers. Furthermore, to address the data imbalance problem in the judgement documents, we revised the loss function and combined it with a data enhancement technique. Experimental results demonstrate that our model has better performance than related works in evidence extraction. (shrink)

Understanding the changing role of central banks and their recent novel policies is essential for analysing many economic and financial issues, ranging from financial regulation and crisis, to exchange rate dynamics and regime changes, and QE and prolonged low interest rates. This book features contributions by the world's leading experts on central banking, providing in accessible essays a fascinating review of today's key issues for central banks. Luminaries including Stephen Cecchetti, Takatoshi Ito, Anil Kashyap, Mervyn King, Donald Kohn, Otmar Issing (...) and Hyun Shin are joined by Charles Goodhart of the London School of Economics and Political Science, whose many achievements in the field of central banking are honoured as the inspiration for this book. The Changing Fortunes of Central Banking discusses the developing role of central banks in seeking monetary and financial stabilisation, while also giving suggestions for model strategies. This comprehensive review will appeal to central bankers, financial supervisors and academics. (shrink)

The purpose of this paper is to reveal the underlying mechanisms that drive young adults’ participation in micro-charity.,A case study, which formed a large online ethnographic project, was conducted in which the twin methods of participatory observation and in-depth interviews were used to access the experience of a selected group (n = 60) of college students.,The present paper identifies that young adults’ participation in micro-charity is mainly driven by three underlying mechanisms: the formation of a powerful environment for the distribution (...) of awareness of obligation, creation of trust towards others in distant or weak ties and symbolic construction of collective identity with a shared commitment.,This paper is an exploratory work which sheds new light on charity or other social entrepreneurship development in the social media era. Specifically, the connectivity of social media and the pre-existing relationships may work well together and lead to many positive outputs, including distributing awareness of social obligation, instilling social trust and strengthening social coherence. (shrink)

本书内容分两部分:一.介绍了全书概况及其在中外文化史上的重要作用;二.是该要籍的精选和简注。.

本书内容包括:中国古代生态美学思想寻踪、西方文化生态资源撷英、民族文化生态美窥视、生态美的学理研讨、生态美的实证研究。.

This paper presents an active fault-tolerant control strategy for quadrotor helicopters to simultaneously accommodate sensor faults and external disturbances. Unlike most of the existing fault diagnosis and fault-tolerant control schemes for quadrotor helicopters, the proposed fault diagnosis scheme is able to estimate sensor faults while eliminating the effect of external disturbances. Moreover, the proposed fault-tolerant control scheme is capable to eliminate the adverse effect of external disturbances as well by designing a disturbance observer to effectively estimate the unknown external disturbances (...) and integrating with the designed integral sliding-mode controller. In this case, the continuous operation of the quadrotor helicopter is ensured while avoiding the unexpected control chattering. In addition, the stability of the closed-loop system is theoretically proved. Finally, the effectiveness and advantages of the proposed scheme are validated and demonstrated through comparative numerical simulations of the quadrotor helicopter under different faulty and uncertain scenarios. (shrink)

Background: The Taiwan Nursing Accreditation Council has proposed eight core professional nursing qualities including ethical literacy. Consequently, nursing ethics education is a required course for student nurses. These courses are intended to improve the ethical literacy. Moral sensitivity is the cornerstone of ethical literacy, and learning moral sensitivity is the initial step towards developing ethical literacy. Objectives: To explore the effect of nursing ethics educational interventions based on multiple teaching strategies on student nurses moral sensitivity. Based on the visual, auditory (...) and kinaesthetic model, three strategies were developed for determining the programme components and corresponding learning styles. Research design: This was a quasi-experimental study. Participants: A total of 234 junior-college student nurses participated in this study. All participants were aged 18–19 years. Ethical considerations: The study protocol was approved by the institutional review boards of Kaohsiung Veterans General Hospital. Only the participants who signed an informed consent form took part in the study. The participants were permitted to withdraw from the study at any point if they wished to do so without affecting their academic score. Results: The scores of Modified Moral Sensitivity Questionnaire for Student Nurses were significantly improved after the intervention of integrating multiple teaching strategies ( p =.042). Significant relationships were observed between the satisfaction scores of two teaching strategies and moral sensitivity. The results indicated that using multiple teaching strategies is effective for promoting nursing ethics learning. Conclusion: This strategy was consistent with the student nurses’ preferred learning style and was used to correct their erroneous ethical conceptions, assisting in developing their ethical knowledge. (shrink)

The mechanism of how the COVID-19 global pandemic has affected the entrepreneurial intentions of college students remains unknown. To investigate the impact of the entrepreneurial environment on entrepreneurial self-efficacy and entrepreneurial intentions in the post-pandemic era, 913 college students were invited to complete a questionnaire. The data were analyzed with structural equation models. The conclusions revealed by the questionnaire are as followed: college students have retained some entrepreneurial intention in the post-pandemic era; the factors influencing the entrepreneurial intention include sex, (...) family entrepreneurial history, major, and education background; and entrepreneurial self-efficacy can play a major role to mediate the impact caused by the post-pandemic entrepreneurial environment on entrepreneurial intentions. The research conclusions provide important insights to improve college students’ entrepreneurial intentions in the post-pandemic environment. (shrink)

Technological products such as computer, communication, and consumer electronic products, apps, smart wearables, and streaming services have become inseparable from people’s lives. In technological fields of practice, imagination, creativity, innovation, and entrepreneurship may influence one another. A vivid imagination can generate creativity and trigger the entrepreneurial intention to “bring new things to the market.” This study aims to understand the formation of internet entrepreneurial intention to use technology products. Drawing on social cognitive theory, this study explores and empirically tests how (...) technology product imagination disposition and social support impact internet entrepreneurial intention to use technology products. Drawing from self-determination theory, this study proposes and examines the mediating role of intrinsic and extrinsic motivation in the relationship between technology product imagination disposition and internet entrepreneurial intention, as well as the relationship between social support and internet entrepreneurial intention. We conducted a survey of 568 adults in Taiwan and used partial least squares to test our hypotheses. The results show the following: Technology product imagination disposition is positively associated with challenge, enjoyment, compensation, and outward motivation. Social support is positively associated with challenge, enjoyment, compensation, and outward motivation. Challenge, enjoyment, and outward motivation are positively associated with internet entrepreneurial intention to use technology products. Technology product imagination disposition intensifies internet entrepreneurial intention to use technology products by strengthening challenge, enjoyment, and outward motivation. Social support intensifies internet entrepreneurial intention by increasing challenge, enjoyment, and outward motivation. The partial mediation model represents a significant improvement in the total effect over the direct effect. We discuss the implications of these results for research and internet entrepreneurship practices. (shrink)

Understanding the influencing factors of cyberbullying is key to effectively curbing cyberbullying. Among the various factors, this study focused on the personal level of individual students and categorized the influencing factors of cyberbullying among college students into five sublevels, i.e., background, Internet use and social network habits, personality, emotion, and literacy related to digital citizenship. Then a questionnaire survey was applied to 947 Chinese college students. The results show that cyberbullying among Chinese college students are generally at a low level. (...) There are many factors influence cyberbullying. Specifically, at the personal background level, gender has a significant impact on cyberbullying and being cyberbullied. In terms of personal Internet use and social network habits, students’ average daily online time has no significant correlation with cyberbullying and being cyberbullied; however, the proportion of online non-learning time has a significantly positive correlation with cyberbullying, and the proportion of online learning/work time has a significant impact on being cyberbullied. At the personality level, the Big Five personality traits have varying degrees of correlation with and influence on cyberbullying and being cyberbullied. At the personal emotions level, students’ life satisfaction has a significantly negative correlation with cyberbullying and being cyberbullied while it only has a significant impact on being cyberbullied; the personal stress and empathetic concern aspects of empathy have a significantly positive correlation with cyberbullying and being cyberbullied among female students. At the literacy related to digital citizenship level, students’ understanding of and compliance with Internet etiquette have significantly negative impacts on cyberbullying; the ability to communicate and collaborate online and Internet addiction have significantly positive impacts on cyberbullying and being cyberbullied; the understanding of and compliance with relevant digital laws and regulations have significantly negative correlations with cyberbullying and being cyberbullied. Overall, college students’ digital citizenship level has a significantly negative correlation with cyberbullying but no significant correlation with being cyberbullied. Finally, analysis and suggestions were provided according to these statistical results and the effects of these factors on cyberbullying and being cyberbullied among college students, so as to help solve this problem and provide a new perspective for research in this field. (shrink)

It is meaningful for a researcher to find some proper collaborators in complex academic tasks. Academic collaborator recommendation models are always based on the network embedding of academic collaborator networks. Most of them focus on the network structure, text information, and the combination of them. The latent semantic relationships exist according to the text information of nodes in the academic collaborator network. However, these relationships are often ignored, which implies the similarity of the researchers. How to capture the latent semantic (...) relationships among researchers in the academic collaborator network is a challenge. In this paper, we propose a content-enhanced network embedding model for academic collaborator recommendation, namely, CNEacR. We build a content-enhanced academic collaborator network based on the weighted text representation of each researcher. The content-enhanced academic collaborator network contains intrinsic collaboration relationships and latent semantic relationships. Firstly, the weighted text representation of each researcher is obtained according to its text information. Secondly, a content-enhanced academic collaborator network is built via the similarity of the weighted text representation of researchers and intrinsic collaboration relationships. Thirdly, each researcher is represented as a latent vector using network representation learning. Finally, top- k similar researchers are recommended for each target researcher. Experiment results on the real-world datasets show that CNEacR achieves better performance than academic collaborator recommendation baselines. (shrink)

BackgroundDreams can be affected by recent life events and long-term life experiences. Previous evidence has shown that childhood adverse experiences are associated with sleep quality and dream experiences.ObjectiveThe aim of this study was to explore the relationship between childhood adverse experiences and dream content in adults.Participants and SettingA total of 163 participants without current or past physical or mental disorders aged between 18 and 35 were screened in the hospital. Among them, 120 subjects who completed a dream content record at (...) home and whose anxiety and depression levels and sleep quality were within the normal range were included in the data analysis.MethodsA cross-sectional survey was conducted from June 2017 to December 2019. Dream content for 10 consecutive days was recorded by the participants and coded by the Hall and Van de Castle coding system. Childhood adversity was assessed by the Childhood Trauma Questionnaire. In the end, 719 dreams out of 626 nights for 120 participants were included in the data analysis, gender differences between groups were analyzed using t-tests or U tests, and Spearman’s partial correlation and multiple linear regression were used to investigate the relationship between childhood trauma and dream content.ResultsChildhood adversity was associated with characters, friendly interactions, and objects in dream content. Regression models of childhood adversity predicting characters and objects in dream content were constructed. There were no gender differences in general demographic data, sleep quality, emotional state, childhood adversity, dream recall frequency, or dream content.ConclusionChildhood adversity is associated with adult dream content. (shrink)

本书内容按中国美学发展的时代先后编写,从先秦到近现代共分六篇,每一篇包括原文和提要两部分。.

Prediction is one of the major challenges in complex systems. The prediction methods have shown to be effective predictors of the evolution of networks. These methods can help policy makers to solve practical problems successfully and make better strategy for the future. In this work, we focus on exporting countries’ data of the International Trade Network. A recommendation system is then used to identify the products that correspond to the production capacity of each individual country but are somehow overlooked by (...) the country. Then, we simulate the evolution of the country’s fitness if it would have followed the recommendations. The result of this work is the combination of these two methods to provide insights to countries on how to enhance the diversification of their exported products in a scientific way and improve national competitiveness significantly, especially for developing countries. (shrink)

Entrepreneurship may be taught, and entrepreneurship education is flourishing at colleges and universities. However, previous documents show that entrepreneurship education is inconsistent with the research conclusions of entrepreneurial intention, which is a lack of discussion on the mediating effect of government subsidies from external resources. Based on the cognitive behavior theory, a mediating effect of entrepreneurship education on entrepreneurial strategy and entrepreneurial intention is built. By collecting the data of 334 questionnaires of college students in Pearl River Delta in China, (...) a structural equation is used for empirical analysis. The result indicates that entrepreneurship education does not have a significant influence on entrepreneurial intention; exploration innovation and exploitation innovation have a positive influence on entrepreneurial intention, and exploration innovation and exploitation innovation have a mediating effect on entrepreneurship education and entrepreneurial intention; government subsidies have a positive regulating effect on exploration innovation, exploitation innovation, and entrepreneurial intention. In this article, the application of the cognitive behavior theory in the field of entrepreneurship research is expanded to provide the theoretical basis for building the entrepreneurship education ecosystem, which is conductive to innovation and entrepreneurship to promote regional economic development. (shrink)

We explored whether children could apply linguistic strategies for lying, i.e., manipulating linguistic content of speech to mislead others. We announced a knowledge-test entailing prizes in the classrooms of a primary school and a middle school. Altogether 79 Chinese children (6-18 years) voluntarily participated in the test: listening to a series of animal sounds before guessing the names of the animals. Meanwhile, behind the participants, a video was playing images that ostensibly corresponded to the sounds being played. In fact, this (...) was not necessarily the case, i.e., some items cannot be solved because the sounds played are not from any animal but machine-synthesized. Participants were instructed not to look back at the video. However, 51 children peeked at the video for the unsolvable items, although the peeking behavior decreased with age. Moreover, when explaining how they correctly guessed the unsolvable items, children as young as six years old were able to apply a linguistic strategy (i.e., "capability attribution") for lying. Besides "capability attribution", Children also applied "fortune attribution" and "topic shift" for lying. Finally, "fortune attribution" and "topic shift" increased with age. Therefore, educators need to be aware that children are able to apply verbal strategies for lying that could involve truthful statements (i.e., "topic shift") or statements that are difficult to be proved as untruthful (i.e., "fortune attribution"). (shrink)

Fingerprint recognition is the most widely used identification method at present. However, it still falls short in terms of cross-platform and algorithmic complexity, which exerts a certain effect on the migration of fingerprint data and the development of the system. The conventional image recognition methods require offline standard databases constructed in advance for image access efficiency. The database can provide a pre-processed image via a specific method that probably is compatible merely with the specific recognition algorithm. Then, the specific recognition (...) algorithm starts the process of retrieving these specific pre-proessing images for recognition and inevitably will be blocked from other datasets. The proposed method in this research designed an embedded image processing algorithm based on a Siamese neural network in the recognition method that allows the proposed method to recognize images from any source without constructing a database for image storage in advance. In this research, the proposed method was applied to fingerprint recognition and evaluation of the proposed method was evaluated. The results showed that the accuracy of the proposed algorithm was up to 92%, and its F1 score was up to 0.87. Compared with the conventional fingerprint matching methods, its significant advantage in the FRR, FAR, and CR jointly indicated the remarkable correct recognition rate of the proposed method. (shrink)

Flight delay is one of the most challenging threats to operation of air transportation network system. Complex network was introduced into research studies on flight delays due to its low complexity, high flexibility in model building, and accurate explanation about real world. We surveyed recent progress about flight delay which makes extensive use of complex network theory in this paper. We scanned analyses on static network and temporal evolution, together with identification about topologically important nodes/edges. And, we made a clarification (...) about relations among robustness, vulnerability, and resilience in air transportation networks. Then, we investigated studies on causal relations, propagation modellings, and best spreaders identifications in flight delay. Ultimately, future improvements are summarized in fourfold. Under Complex Network, flight operation relevant subsystems or sublayers are discarded by the majority of available network models. Hierarchical modelling approaches may be able to improve this and provide more capable network models for flight delay. Traffic information is the key to narrow the gap between topology and functionality in current situations. Flight schedule and flight plan could be employed to detect flight delay causalities and model flight delay propagations more accurately. Real flight data may be utilized to validate and revise the detection and prediction models. It is of great importance to explore how to predict flight delay propagations and identify best spreaders at a low cost of calculation complexity. This may be achieved by analyzing flight delay in frequency domain instead of time domain. Summation of most critical nodes/edges may not be the most crucial group to network resilience or flight delay propagations. Effective algorithm for most influential sequence is to be developed. (shrink)

Language is central to the interactional nature of the social life within which it is situated. To react or respond in a particular situation, we must be able to recognize the social situation. Growing evidence has demonstrated the negative impact of perceived loneliness on late-life executive functions. Yet little is known about how social factors impact language processing for older people. The current study aims to fill this gap, first by assessing age-related changes in lexical processing during Chinese word reading, (...) second, by examining whether older adults’ individual differences, such as processing speed and verbal abilities, modulate meaning retrieval and, third, by investigating whether perceived loneliness can hinder word reading. The use of compound words in Chinese enables significant sublexical ambiguity, requiring varying executive load during word recognition: when a word’s constituent characters carry multiple meanings, readers must consider the meaning contributions of both constituent characters and use top-down word information to determine the most accurate meaning of the ambiguous character, a process termed “sublexical ambiguity resolution.” In this study, adults read real Chinese words and pseudowords, and they were asked to make lexical decisions. Older adults exhibited greater lexicality effects and similar sublexical ambiguity effects compared with young adults. Among older participants, processing speed could account for their ability to differentiate between words and pseudowords. In contrast, the level of perceived loneliness modulated the efficacy of sublexical ambiguity resolution: the participants with higher perceived loneliness displayed a greater sublexical ambiguity disadvantage effect. These results indicate that perceived loneliness may affect the use of contextual information in meaning retrieval during reading. The findings provide an important link between social connections and language processing. (shrink)

Smart homes create a beneficial environment for the lives of elderly people and enhance the quality of their home lives. This study aims to explore the design of age-friendly interfaces that can meet the emotional needs of self-care elderly people from the perspective of functional realization of the operating interface. Sixteen elderly users aged fifty-five and above were selected as subjects with healthy eyes and no excessive drooping eyelids to obscure them. Four representative age-friendly applications with different interface designs were (...) selected from the Android application market as the stimulus material for the experiment, and a total of fifteen pages were browsed independently. During the experiment, the ErgoLAB human-computer environment synchronization cloud platform was used to monitor and record the subjects' multidimensional physiological indicators of eye movements, skin electricity, and heart rate variability when using different styles of mobile application interfaces. Combined with the post-experimental PAD emotion scale data, the preferences of emotional interface design elements of the self-care elderly were analyzed to guide the subsequent design practice. The results show that: on the layout characteristics of the home page, a simple and intuitive multi-column layout or card layout combined with a bottom navigation bar type main navigation is used; on the choice of the main color, a single color with low saturation is used as the main color, with high saturation color accents to play a role in highlighting key information; on the information density of the home page, a moderate proportion of graphics and text is adopted, with low information density; on the arrangement of the page content, they try to give priority to information content with high user relevance. (shrink)

Cognitive Science, Volume 46, Issue 1, January 2022.

本书着重就严复的学术思想、政治主张及其社会影响展开研讨,全国各地专家学者从不同角度、不同层面深入探讨了严复思想,内容广泛,分析深刻。.

本书阐明自然辩证法这门学科的形成过程,概要地阐述它的基本原理及其一百多年的发展历史。.