Using both quantitative and qualitative approaches, this study investigated the preference of learners of English as a foreign language for four types of written corrective feedback, which are often discussed in the literature, on grammatical, lexical, orthographic, and pragmatic errors. In particular, it concerned whether such preference is influenced by two learner variables, namely, foreign language enjoyment and proficiency level. The preference for selective vs. comprehensive WCF was also examined. The participants in the study were 117 University students in a (...) Thai EFL context. Analysis of questionnaire data revealed a tendency for learners to prefer more explicit types of WCF for most error types, irrespective of their proficiency and FLE level. High proficiency level learners rated less explicit WCF types as useful to some degree, whereas their low proficiency level counterparts did not. Similar results were found for the two FLE groups. Besides, the FLE level seemed to play a role in perceiving the value of WCF in terms of scope. The results of follow-up interviews showed that the linguistic features of learners' first language, existing knowledge of the target language, affective feelings, and teacher's role were the main factors contributing to variation in learners' preferences. Possible pedagogical implications are discussed. (shrink)

This chapter contains section titled: Literary Revolution and its Meaning The Naturalistic Conception of the Universe and the Experimentalist Method History of Chinese Philosophy and Systematizing the National Heritage Political Philosophy and Liberalism Hu Shi as an Enlightenment Philosopher.

Identifying important entities in software systems has many implications for effective resource allocation. Complex network research opens new opportunities for identifying important entities from software networks. However, the existing methods only focus on identifying important classes. Little work has been done on the identification of important packages. Moreover, the metrics they used to quantify the class importance are only designed for unweighted software networks and cannot fit in with the weighted software networks. To overcome these limitations, in this article, we (...) introduce the weighted k-core decomposition method to identify the important packages. First, we use a weighted software network to describe packages and their internal dependencies. Second, we use Wk-core to partition a software network into a layered structure. Then, the packages that are denoted by the nodes within the main core are the identified important packages. To evaluate our method, we use a variant of the susceptible–infectious–recovered model to examine the spreading influence of the nodes in six real weighted software networks. The results show that our method can well identify influential nodes, better than other four methods. Furthermore, we demonstrate our method on two software networks and show that the important packages identified by our method are more meaningful from a software engineering perspective when compared with the other methods. (shrink)

Background and ObjectivesSchool bullying threatens the health of children and adolescents, such as mental health disorders, social deviant behaviors, suicidal behaviors, and coping difficulties. The present study aims to address prevalence rates of both traditional and cyber school bullying perpetration, and the associations between self-control, parental involvement, experiencing conflicts with parents, experiencing interparental conflict, and risk behaviors, and school bullying perpetration among Chinese children and adolescents.MethodThis study used data from a national representative school bullying survey among children and adolescents from (...) all grades in seven cities in China. Negative binomial regression was used to estimate the effects of these predictive factors on traditional and cyber school bullying perpetration, respectively. Seven control variables were included, such as gender, boarding school, family socioeconomic status, and parents’ education levels.ResultsThe sample comprised 52% female, 18% at boarding school, 70% of the participants’ academic performance was average or above. Approximately 17.3% of the participants reported participating in traditional school bullying against their peers, and 7.8% perpetrated cyberbullying behaviors. Also, after controlling sociodemographic characteristics and high self-control, parental involvement reduced the likelihood of traditional and cyberbullying perpetrating. Experiencing interparental conflict and risk behavior was significantly associated with increased perpetration of traditional and cyber school bullying. We found that having a conflict with parents was significantly associated with cyberbullying perpetration.ImplicationsFindings have implications for practice. Anti-bullying intervention programs targeting this population should consider these factors. For example, school administrators may develop school programs involving parents in the efforts and interventions workshops improving children and adolescents’ levels of self-control. Limitations are also discussed. (shrink)

Customers’ declining receptivity to conventional marketing tools has been a challenge for convenience stores. To overcome this, retailers are turning to social media as a new, potent marketing tool for creating business prospects and encouraging direct customer interaction. However, it is still unknown how social media marketing affects the shifts in customer behavior. This paper expands on the relationship of “loyalty program + virtual community experience → perceived value → customer loyalty” in the traditional convenience store scenario, refining the variables (...) of virtual community experience, perceived value, and customer loyalty. It also compares the effectiveness of different LP design structures and explores the mediation impact of program loyalty and the moderation effect of alternative attractiveness. The results demonstrate the superior performance of LPs with an expiry policy and differential returns and highlight the importance of enhancing members’ virtual community experiences in fostering customer perceived value and loyalty. The results also show the minor negative moderation impact of community group buying and prove that emotional value significantly impacts customer loyalty. Still, the social value does not affect program loyalty. The recommendations are offered, such as designing growing-oriented and periodical zeroing LPs, as well as using new social media marketing tools to empower traditional marketing techniques and constructing a “convenience store + community group buying” model. The findings have substantial theoretical and practical implications for traditional convenience stores in properly implementing loyalty and social media marketing tactics to maximize customer value and loyalty with a limited budget. (shrink)

Reading disability has been considered as a disconnection syndrome. Recently, an increasing number of studies have emphasized the role of subcortical regions in reading. However, the majority of research on reading disability has focused on the connections amongst brain regions within the classic cortical reading network. Here, we used graph theoretical analysis to investigate whether subcortical regions serve as hubs during reading both in Chinese children with reading disability and in age-matched typically developing children using a visual rhyming judgment task (...) and a visual meaning judgment task. We found that the bilateral thalami were the unique hubs for typically developing children across both tasks. Additionally, subcortical regions were also unique hubs for typically developing children but only in the rhyming task. Among these subcortical hub regions, the left pallidum showed reduced connectivity with inferior frontal regions in the rhyming judgment but not semantic task in reading disabled compared with typically developing children. These results suggest that subcortical-cortical disconnection, which may be particularly relevant to the phonological and phonology-related learning process, may be associated with Chinese reading disability. (shrink)

Precise global solar radiation data are indispensable to the design, planning, operation, and management of solar radiation utilization equipment. Some examples prove that the uncertainty of the prediction of solar radiation provides more value than deterministic ones in the management of power systems. This study appraises the potential of random forest, V-support vector regression, and a resilient backpropagation artificial neural network for daily global solar radiation point prediction from average relative humidity, daily average temperature, and daily sunshine duration. To acquire (...) more accurate predictions of DGSR and examine the influence of historical DGSR on the performance of point prediction models, two different model inputs are considered: three meteorological variables and the lags of DGSR and three meteorological variables. Then, two interval prediction methods are developed by introducing the KDE to out-of-bag, introducing kernel density estimation to split conformal based on the three machine learning models. The two methods for interval prediction are denoted as OOB-KDE and SC-KDE. The mean absolute error, mean relative error, and Kendall rank correlation are used to assess the point prediction models. The performance of interval prediction methods is evaluated by the prediction interval coverage probability, prediction interval normalized average width, and coverage width criteria. The following conclusions are drawn from this study. First, the V-SVR model performs best with the lowest mean absolute error of 0.016 and mean relative error of 0.001. Second, the lags of DGSR improve the prediction accuracy by about 30%. Third, the OOB-KDE and SC-KDE methods improved the quality of the prediction interval. OOB-KDE improved CWC by 81%, and SC-KDE improved CWC by 99.99%. Fourth, the best interval prediction result is obtained using the SC-KDE method using the V-SVR model. The average difference between its PICP and prediction interval nominal coverage is only 3% of the PINC, and its PINAW is less than 0.007. (shrink)

The debate over the existence of a “public sphere” in China’s Late Qing/Early Republican era began nearly three decades ago, but it has yet to generate a special socio-cultural review on the “Confucian social imaginary” of the Chinese people. The article builds on existing “economic-political approach” and “idea-communication approach” to argue decisive factors hindering the development of a Habermasian “public sphere.” These includes (1) people’s traditional-collectivist lifestyle, (2) lack of understanding of “universal equality,” (3) conservative self-positioning during social transition, (4) (...) regionalist attitude toward outsiders, (5) lack of access to Enlightenment ideas, (6) disregard for parliamentary systems, and (7) ignorance of the rule of law. (shrink)

This paper provides an in-depth analysis and discussion of the key issues of quality management, evaluation, and detection contained in big data for automotive application scenarios. A generalized big data quality management model and programming framework are proposed, and a series of data quality detection and repair interfaces are built to express the processing semantics of various data quality issues. Through this data quality management model and detection and repair interfaces, users can quickly build custom data quality detection and repair (...) tasks for different data quality requirements. To improve the operational efficiency of complex data quality management algorithms in large-scale data scenarios, corresponding parallelization algorithms are studied and implemented for detection and repair algorithms with long computation time, including priority-based multiconditional function-dependent detection and repair algorithms, entity detection, and extraction algorithms based on semantic information and chunking techniques, and plain Bayesian-based missing value filling algorithms, and this paper proposes a data validity evaluation algorithm and enhances the validity of the original data in practical applications by adding temporal weights, and finally it passed the experimental validation. Through the comprehensive detection process of data importance, network busyness, duration of transmission process, and failure situation, the efficiency has been increased by 20%, and an adaptive data integrity detection method based on random algorithm and encryption algorithm is designed. After experimental verification, this method can effectively detect the integrity of the data transmission process and improve the application of data value, and the final effect is increased by 30.5%. (shrink)

I first present a brief interpretation of Sosa’s virtue epistemology by showing how it is arguably better than Goldman’s process reliabilism, why Sosa distinguishes between animal knowledge and reflective knowledge, and how Sosa’s recent account of knowing full well can deal with pragmatic encroachment. Then, I raise two worries about Sosa’s account: (a) Sosa’s claim that one might have animal knowledge without knowing reflectively or knowing full well implies that one’s true belief might manifest both competence and luck, which seems (...) to pose a challenge to Sosa’s solution to the Gettier problem; (b) intellectual virtue or competence does not seem to be a necessary condition for knowledge: there are cases where one knows without possessing the relevant intellectual virtue or competence. Finally, I suggest a responsibilist account of knowledge and show how it can not only handle the cases that pose a problem for Sosa’s account but also explain our intuitions about different grades of knowledge. (shrink)

The study aimed to examine the impact of parental influence and media richness on gender stereotypes and career decisions among students at the secondary level in Pakistan. The sample size was 200 students, selected through a simple random sampling technique from government and private schools. Four questionnaires were used to gather data. The data was analyzed quantitatively using the Statistical Package for the Social Sciences. Regression analyses were used to investigate the impact of parental influence on gender stereotypes and media (...) richness influence on gender stereotype beliefs. Furthermore, parental, media, and gender stereotype behavior all have a significant impact on students’ career choices. On the scale of the parental influence and media richness, no significant gender differences were found. It is concluded that parental influence has a greater effect on students’ gender stereotyping behavior and career choices. (shrink)

The COVID-19 pandemic has had a profound psychological and behavioral impact on people around the world. Consumer purchase behaviors have thus changed greatly, and consumer services companies need to adjust their business models to adapt to this change. From the perspective of consumer psychology, this paper explores the impact of consumer purchase behavior changes over the course of the pandemic on the business model design of consumer services companies using a representative survey of 1,742 individuals. Our results show that changes (...) in consumer purchase behavior have a significant impact on the design of consumer services firms’ business models. Specifically, changes in consumers’ purchase object, motive, and timeframe are more likely to spark a novelty-centered business model design, whereas changes in purchase method tend to inspire an efficiency-centered one. Our findings provide a theoretical reference for consumer services companies in designing business models when faced with unexpected crises. (shrink)

That a symbolic object or work of art participates in what it signifies, as a part within a whole, was a controversial claim discussed with particular intensity in the wake of Immanuel Kant's Critique of Judgment. It informed the aesthetic theories of a constellation of writers in Jena and Weimar around 1800, including Moritz, Goethe, Schelling and Hegel. Yet the twin concepts of symbol and intuition were not only tools of literary and mythological criticism: they were integral even to questions (...) of epistemology and methodology in the fields of theology, metaphysics, history and natural philosophy. The international contributors to this volume further explore how both the explanatory potential and peculiar dissatisfactions of the symbol entered the Anglo-American discourse, focusing on Coleridge, Crabb Robinson and Emerson. Contemporary debates about the claims of symbolic as opposed to allegorical art are kept in view throughout. (shrink)

On December 3 last year, Comrade Zhao Fusan of the Research Institute of Religion of the Chinese Academy of Social Sciences wrote a letter to Comrade Hu Qiaomu outlining his personal reflections on the Party Center's Document 19 [1982].

Science, the proud son of the era and the crystallization of man's wisdom, is inlaid in the crown of our times like a lustrous and brilliant pearl. Social science discloses to mankind the general law governing the development of society and leads it in marching forward to the higher stages of social system - socialist society and communist society. Natural science creates for mankind tremendous productive forces like miracles, enabling the human race to live a life in fairyland. Who is (...) there who does not praise the power of science and refuses to admit that science is the great force pushing history forward? Who is there that dares openly to set up forbidden zones in science, thus serving as an executioner to strangle science? In our times, people who dare openly to do this, perhaps, are increasingly few. However, this does not mean that science can completely extricate itself from disaster. Science has to pay dearly for every step of exploration and has to undergo a stern struggle for it. Science is an undertaking that is most creative and filled with the spirit of innovation. It openly declares that it will wage an irreconcilable struggle against all the old stuff which is reactionary, dark, ignorant and superstitious. Because of this, it is bound to suffer bans and buffets from the reactionary forces. Science has no forbidden zone! This is a call of reason; but there are forbidden zones in science, and that is what we see in the picture of history and reality. What are the forbidden zones? And how should we destroy the forbidden zones and set science free? For many years Lin Biao and the "gang of four" brought terrible disasters to science. In consequence, the aforementioned question is sharply raised before us, requiring us to deal with it strictly and try to resolve it correctly. (shrink)