PurposeThis study investigated the impact of age and myopia on visual form perception among Chinese school-age children.MethodsThis cross-sectional study included 1,074 students with a mean age of 12.1 ± 4.7 years. The mean spherical equivalence refraction of the participants was −1.45 ± 2.07 D. All participants underwent distance visual acuity, refraction measurement and local and global visual form perception test including orientation, parallelism, collinearity, holes and color discrimination tasks.ResultsThe reaction times of emmetropes were slower than those of myopic and high (...) myopic groups on both local and global discrimination tasks. A reduction in reaction times was found with increasing age on both local and global discrimination tasks. Age was significantly associated with both local and global visual perception performance after adjusting for gender, visual acuity and SER.ConclusionsThis study revealed that both local and global visual perception improve with age among Chinese children and that myopes seem to have better visual perception than emmetropes. (shrink)

Emotions are now considered critical elements of a successful education. In English as a Foreign Language context, there are many challenges for teachers to deal with. Hence, it is necessary to take their emotions into consideration. Despite many studies in this area, researching teachers’ positive mood, hope, and academic buoyancy has been left less attended. Trying to introduce this line, the present study reviewed the definitions, related concepts, theories, and previous studies done on these three variables in detail. It also (...) touched upon the origins of researching emotion in educational contexts describing different schools of psychology. Additionally, the study offered some practical implications for EFL teachers, students, policy-makers, teacher trainers, and researchers. Finally, it enumerated the existing gaps in this area and made a number of research suggestions for future research. (shrink)

As Paulo Freire’s education theory for social change and emancipation is being continually studied and disseminated in East Asia, it has faced skepticism as some educators are unfamiliar with its critical pedagogy or education for freedom concepts. In light of this, scholars have attempted to compare Freirean philosophies with concepts in Chinese philosophy of education as a way of bridging East and West. Diverging from previous studies that use popular Chinese philosophies (such as Confucianism) to connect with Freirean theory, this (...) paper introduces an understudied but compatible Chinese philosophical thought, Mohism, for comparison with Freirean theory. Mohism is a political philosophy for the working class that expanded into grassroots movements for people’s welfare in ancient China. The Mohist bottom-up approach echoes the grassroots emancipatory pedagogy that underlies Freirean philosophy. A comparative analysis of education concepts in both philosophies reveals that despite differences in the educational content of Freirean theory and Mohism, there are similarities in their conceptualization of education for anti-oppression and praxis for social change. Implications for utilizing Mohist philosophy to contemplate Freirean philosophy within the East Asian educational context are also explored. Ultimately this paper revives educational concepts of Mohism that aligns with Freirean philosophy to a broader audience of scholars and educators. (shrink)

Incivility among employees in frontline encounters is prevalent, but little is known about its impact on customers’ ethics-related perceptions and behaviors. Drawing upon the stimulus–organism–response paradigm, this study examines how witnessing incivility among employees can serve as a social atmospheric cue to influence customers’ perceived ethicality of an organization and their subsequent behaviors. According to our results, in response to employee-to-employee incivility witnessed during frontline encounters, customers perceive the uncivil employees’ organization to have a lower level of ethicality. In turn, (...) customers engage more in unethical behavior and less in customer citizenship behavior. We further demonstrate that the negative effect of uncivil employee-to-employee interactions on customers’ perception of the ethicality of an organization is amplified when customers have an a priori perception that the organization is competent. The findings hold theoretical and practical implications for the management of employee-to-employee incivility and unethical customer behavior during frontline encounters. (shrink)

Most complex real systems are found to have multiple layers of connectivity and required to be modelled as multiplex networks. One of the extremely critical problems is to reduce the congestion and enhance the transfer capacity, especially in real communication networks with a big data environment. A novel and effective strategy to improve traffic and control congestion is proposed by adding edges according to their weights which are defined by the topology structural properties. Furthermore, which layer is more effective when (...) our strategy is applied is discussed based on its topology structure. Adding edges between nodes whose product of multiplex network betweenness is the highest is confirmed to be more effective, particularly in the layer with stronger community structure. Simulation experiments on both computer-generated and real-world networks demonstrate that our strategy can enhance the transfer capacity of multiplex networks significantly, which is in good agreement with our analysis. (shrink)

This paper investigates the applicability of reliabilism to scientific knowledge, and especially focuses on two doubts about the applicability: one about its difficulty in accounting for the epistemological role of scientific instruments, and the other about scientific theories. To respond to the two doubts, we extend virtue reliabilism, a reliabilist-based virtue epistemology, with a distinction of two types of epistemic virtues and the extended mind thesis from Clark and Chalmers (Analysis 58:7–19, 1998 ). We also present a case study on (...) the quantitative research methodology of social sciences to show that the methodology is actually an extended virtue reliabilism on how social science instruments and theories contribute to the formation of social scientific knowledge. (shrink)

Carbon emission has negative externalities, which will cause severe natural and social problems. In recent years, more and more attention has been paid to carbon emission reduction issue both in academic and application fields. This paper aims to explore the impact of punitive carbon tax and incentive carbon emission reduction subsidy on economy and environment through the dynamic stochastic general equilibrium framework. The results show that both carbon tax and carbon emission reduction subsidy policies can help to reduce carbon emissions (...) and to improve environment quality. In addition, carbon emission reduction subsidy has a positive impact on economy, while carbon tax has the opposite impact. It follows that the incentive carbon emission reduction policy is more conducive to the coordinated development of economy and environment. This research can be a guideline for the government to formulate carbon emission abatement policies from the perspective of coordinated development. (shrink)

Extant studies on private regulation have not reached a sufficient understanding about the interplay between private and public regulations, due to underdeveloped theoretical framework and the lack of large-sample empirical investigations. Leveraging ISO 14001 adoption among Chinese firms as the research context, the current research draws on the institutional theory to examine how firm’s adoption of ISO 14001 standard, as a specific form of private regulation, affects the incidence of public environmental inspections. To test our arguments, we conduct two empirical (...) studies. Study 1 uses the first-hand data of a corporate social responsibility survey on Chinese manufacturing firms, whereas Study 2 deploys the second-hand longitudinal archival data of the government environmental inspections on Chinese listed firms. Both of the two studies reveal consistent findings that ISO 14001 adoption decreases the incidence of government environmental inspections, and that the effect of ISO 14001 adoption becomes stronger in state-owned enterprises and firms with top management team’s political ties. Our findings are suggestive of a complementary relationship between private and public regulations, in a sense that private regulations can compensate for the weaknesses of public regulations by offering faster, more flexible and cost-efficient means of enforcement, which allows the public authorities to economize on the deployment of public resources to monitor the rest non-compliant firms. (shrink)

This paper examines the success of corporate communication in voluntary sustainability reporting. Existing studies have focused on the perspective of the communicators but lack an understanding of the perspective of information recipients to clearly evaluate this interactive communication process. This paper looks at the issue of a credibility gap perceived by external stakeholders when they doubt the authenticity of communicated information due to the reporting company’s governance structure. The paper uses family businesses to exemplify the emergence of such a gap (...) when outsiders become concerned about the potential agency problem of the integrated ownership and management controlled by a few members of the same family. Following source credibility theory, these concerns raise a credibility gap associated with a family firm’s trustworthiness and goodwill, even if the family has the expertise to carry out sustainability reporting. The findings of two experimental studies indicate that family businesses suffer a greater credibility gap than non-family businesses. An external and independent assurance service can mitigate such gaps, especially when the service is comprehensive and targets family businesses. The paper provides a complete view evaluating corporate communication by looking at the interaction between the communicating company and the information recipients. (shrink)

Background: Freezing of gait is a common symptom in Parkinson’s disease and can be difficult to treat with dopaminergic medications or with deep brain stimulation. Novel stimulation paradigms have been proposed to address suboptimal responses to conventional DBS programming methods. Burst-cycling deep brain stimulation delivers current in various frequencies of bursts, while maintaining an intra-burst frequency identical to conventional DBS.Objective: To evaluate the safety and tolerability of BCDBS in PD patients with FOG.Methods: Ten PD subjects with STN or GPi DBS (...) and complaints of FOG were recruited for this single center, single blinded within-subject crossover study. For each subject, we compared 4, 10, and 15 Hz BCDBS to conventional DBS during the PD medication-OFF state.Results: There were no serious adverse events with BCDBS. It was feasible and straightforward to program BCDBS in the clinic setting. The benefit was comparable to conventional DBS in measures of FOG, functional mobility and in PD motor symptoms. BCDBS had lower battery consumption when compared to conventional DBS.Conclusions: BCDBS was feasible, safe and well tolerated and it has potential to be a viable future DBS programming strategy. (shrink)

Investor recommendation is a critical and challenging task for startups, which can assist startups in locating suitable investors and enhancing the possibility of obtaining investment. While some efforts have been made for investor recommendation, few of them explore the impact of startups’ features, including partners, rounds, and fields, to investor recommendation performance. Along this line, in this paper, with the help of the heterogeneous information network, we propose a FEatures’ COntribution Measurement approach of startups on investor recommendation, named FECOM. Specifically, (...) we construct the venture capital heterogeneous information network at first. Then, we define six venture capital metapaths to represent the features of startups that we focus on. In this way, we can measure the contribution of startups’ features on the investor recommendation task by validating the recommendation performance based on different metapaths. Finally, we extract four practical rules to assist in further investment tasks by using our proposed FECOM approach. (shrink)

Real-time smoke detection is of great significance for early warning of fire, which can avoid the serious loss caused by fire. Detecting smoke in actual scenes is still a challenging task due to large variance of smoke color, texture, and shapes. Moreover, the smoke detection in the actual scene is faced with the difficulties in data collection and insufficient smoke datasets, and the smoke morphology is susceptible to environmental influences. To improve the performance of smoke detection and solve the problem (...) of too few datasets in real scenes, this paper proposes a model that combines a deep convolutional generative adversarial network and a convolutional neural network to extract smoke features and detection. The vibe algorithm was used to collect smoke and nonsmoke images in the dynamic scene and deep convolutional generative adversarial network used these images to generate images that are as realistic as possible. Besides, we designed an improved convolutional neural network model for extracting smoke features and smoke detection. The experimental results show that the method has a good detection performance on the smoke generated in the actual scenes and effectively reduces the false alarm rate. (shrink)

This paper investigates the distribution characteristics of word lengths in the Dream of the Red Chamber, measured in terms of the number of syllables or characters. The results show that the frequency distribution of words of different lengths in the DRC abides by the extended logarithmic distribution model. A comparison between the first forty, the middle forty, and the last forty chapters shows that the distribution of word lengths in these three parts does not differ significantly, which sheds light on (...) the authorship of the novel. (shrink)

Spatial cognitive abilities, including mental rotation and visuo-spatial working memory are correlated with mathematical performance, and several studies have shown that training of these abilities can enhance mathematical performance. Here, we investigated the behavioral and neural correlates of MR and vsWM training combined with number line training. Fifty-seven children, aged 6–7, performed 25 days of NL training combined with either vsWM or MR and participated in an Electroencephalography -session in school to measure resting state activity and steady-state visual evoked potentials (...) during a vsWM task before and after training. Fifty children, aged 6–7, received usual teaching and acted as a control group. Compared to the control group, both training groups improved on a combined measure of mathematics. Cognitive improvement was specific to the training. Significant pre-post changes in resting state-EEG, common to both training groups, were found for power as well as for coherence, with no significant differences in rs-EEG-changes between the vsWM and MR groups. Two of the common rs-EEG changes were correlated with mathematical improvement: an increase in coherence between the central frontal lobe and the right parietal lobe in frequencies ranging from 16 to 25 Hz, and an increase in coherence between the left frontal lobe and the right parietal lobe ranging from 23 to 25 Hz. These results indicate that changes in fronto-parietal coherence are related to an increase in mathematical performance, which thus might be a useful measure in further investigations of mathematical interventions in children. (shrink)

By investigating the status quo of the swimming training market in a certain area, we can obtain information on the current development of the swimming training market in a certain area and study the laws of the development of the market so as to provide a theoretical basis for the development of the market. This paper designs an evaluation algorithm suitable for swimming training based on the improved AlexNet network. The algorithm model uses a 3 × 3 size convolution kernel (...) to extract features, and the pooling layer uses a nonoverlapping pooling strategy. In order to accelerate the network convergence, the model introduces batch normalization technology. The algorithm uses data augmentation technology to expand the data set, including rotation and random erasure, to a certain extent alleviating the problem of overfitting. The results of the study showed that there were no significant differences in fat, minerals, protein, body mass index, basal metabolic rate, and total energy expenditure in the body composition ratios of children in the convolutional neural network assessment group and the control group, while muscle and total body water were not significantly different. However, there are significant differences in fat-free body weight and muscle strength of various segments of the body, among which there are very significant differences in muscle strength of lower limbs in each segment of the body. There were no significant differences in minerals, body mass index, basal metabolic rate, total energy expenditure, and lower limb muscle strength in the body composition ratios of men and women in the convolutional neural network assessment group. There are significant differences in body weight, upper limb muscle strength, and trunk muscle strength. There were no significant differences in the proportions of body composition between men and women in the control group, except for fat and protein. (shrink)

ObjectiveThe objective of the study was to explore the relationship between social support and fatigue as well as the mediating role of social functioning on that relationship.BackgroundPsychosocial factors such as social support and social functioning may influence patients’ fatigue symptoms. There is limited evidence on the relationship between social support, social functioning, and fatigue in liver transplant recipients.MethodsA total of 210 patients with liver transplants from two tertiary hospitals were enrolled in the current study. Questionnaires used include one for general (...) demographic data, the Perceived Social Support Scale, Social Disability Screening Schedule, and Fatigue Symptom Inventory.ResultsA total of 126 recipients reported fatigue. Gender, residence, BMI, and liver function were the primary factors affecting fatigue. Social support was positively correlated with social functioning and was negatively correlated with fatigue. The effect of social support on fatigue was partially mediated by social functioning.ConclusionThe fatigue of liver transplant recipients should be attended to. The higher the social support, the lower the fatigue of liver transplant recipients. Social support may also reduce fatigue through social functioning. The liver transplant team should help the liver transplant recipient establish a social support system, restore social functioning, and reduce fatigue symptoms. (shrink)

This paper investigates a composite learning prescribed performance control scheme for uncertain strict-feedback system. Firstly, a prescribed performance boundary condition is developed for the tracking error, and the original system is transformed into an equivalent one by using a transformation function. In order to ensure that the tracking error satisfies the PPB, a sufficient condition is given. Then, a control scheme of PPC combined with neural network and backstepping technique is proposed. However, the unknown functions cannot be guaranteed to estimate (...) accurately by this method. To solve this problem, predictive errors are defined by applying online recorded date and instantaneous date. Furthermore, novel composite learning laws are proposed to update NN weights based on a partial persistent excitation condition. Subsequently, the stability of the closed-loop system is guaranteed and all signals are kept bounded by using composite learning PPC method. Finally, simulation results verify the effectiveness of the proposed methods. (shrink)

The current study proposes a moderated mediation model to explain the relationship between humble leadership and team innovation. Our hypothesis integrates social information processing theory with the existing literature on humble leadership. As a result, we theorize that when a humble individual leads a team, the team members are more likely to reconsider strategies, review events with self-awareness, share diverse information, and adapt to new ideas, which in turn promotes innovative team activities. Moreover, consistent with the research that emphasizes the (...) inclusion of team culture in exploring leader–innovation relationships, we investigate the moderating role of a team’s expertise diversity in the above positive, indirect relationship. We test our model by using both archival and survey data collected from 135 teams within 18 medium-to-large internet technology firms in China. The findings largely support our theoretical assertions, suggesting that humble leadership has important implications for team processes and innovation. (shrink)

Accountability is a core element for groups and societies to operate efficiently. However, there have been confusing findings in previous studies on felt accountability, and few efforts have been made to clarify its complicated role. Drawing on self-determination theory, we developed an integrative model to examine the double-edged sword effect of felt accountability on work outcomes and individual wellbeing. We utilized a three-wave sample of 294 employees to test our hypotheses. The findings supported our hypotheses. Specifically, felt accountability is positively (...) related to both task performance and emotional exhaustion, and obsessive passion mediates the positive relationship between felt accountability and task performance, while work overload mediates the positive relationship between felt accountability and emotional exhaustion. This study integrates the positive and dark sides of felt accountability, provides new insights into its mechanism and expands the application of self-determination theory. (shrink)

Distinctive aspects of a culture are often reflected in the meaning and usage of words in the language spoken by bearers of that culture. Keywords such as душа (soul) in Russian, hati (heart) in Indonesian and Malay, and gezellig (convivial/cosy/fun) in Dutch are held to be especially culturally revealing, and scholars have identified a number of such keywords using careful linguistic analyses (Peeters, 2020b; Wierzbicka, 1990). Because keywords are expected to have different statistical properties than related words in other languages, (...) we argue that a quantitative comparison of word usage across languages can help to identify cultural keywords. To support this claim, we describe a computational method that compares word frequencies across languages, and apply it to both linguistic corpora and word association data. The method identifies culturally specific words that range from “obvious” examples, such as Amsterdam in Dutch, to non‐obvious yet independently proposed examples, such as hati (heart) in Indonesian. We show in addition that linguistic corpora and word association data provide converging evidence about culturally specific words. Our results therefore show how computational analyses and behavioral experiments can supplement the methods previously used by linguists to identify culturally salient words across languages. (shrink)

The importance of data literacy and the need of raising and improving it through formal educational channel or public engagement has repeatedly been flagged up in each of the past Economic and Social Research Council-funded Data-Psst! Seminar I attended in 2014–2016. There is a real demand for action taking. I took advantage of the knowledge I learned from the Data-Psst seminars and devised a module teaching Level 5 undergraduate media students about critical issues in today’s data-centric digital society, including privacy (...) and surveillance. In this article, I share how the class activities were devised and carried out, and how guided engagement with the current debate in privacy and surveillance were realised. I also draw on relevant pedagogical theories to discuss my educational approaches, student performance, the challenges of the project, and evaluate and reflect upon the outcomes. This report from the field provides fresh first-hand information about the data ethics of the younger public who are practising media arts and their behaviours and attitudes towards privacy and surveillance. This article shall open up the discussion about the role educators play in enriching public engagement with critical thinking about Big Data. The lessons learned can also contextualise the pedagogical implication of the recent scholarly research on Big Data and privacy, and provide a framework for constructing future collaborative or creative projects. (shrink)

The scale of know­ledge is growing rapidly in the big data environment, and traditional know­ledge organization and services have faced the dilemma of semantic inaccuracy and untimeliness. From a know­ledge fusion perspective-combining the precise semantic superiority of traditional ontology with the large-scale graph processing power and the predicate attribute expression ability of property graph-this paper presents an ontology and property graph fusion framework (OPGFF). The fusion process is divided into content layer fusion and constraint layer fusion. The result of the (...) fusion, that is, the know­ledge representation model is called know­ledge big graph. In addition, this paper applies the know­ledge big graph model to the ownership network in the China’s financial field and builds a financial ownership know­ledge big graph. Furthermore, this paper designs and implements six consistency inference algorithms for finding contradictory data and filling in missing data in the financial ownership know­ledge big graph, five of which are completely domain agnostic. The correctness and validity of the algorithms have been experimentally verified with actual data. The fusion OPGFF framework and the implementation method of the know­ledge big graph could provide technical reference for big data know­ledge organization and services. (shrink)

We report that upon excitation by a single pulse, a classical harmonic oscillator immersed in the classical electromagnetic zero-point radiation exhibits a discrete harmonic spectrum in agreement with that of its quantum counterpart. This result is interesting in view of the fact that the vacuum field is needed in the classical calculation to obtain the agreement.

The purpose of this study was to examine the effect of group art therapy using traditional Chinese materials on improving the self-efficacy and social function of individuals diagnosed with schizophrenia. In China, little research has been conducted on patients to measure the effectiveness of group art therapy, especially using traditional Chinese materials. To address this research gap, 104 individuals diagnosed with schizophrenia were tested in a group art therapy program that included 30 treatment sessions and used a wide variety of (...) materials, including traditional Chinese materials, such as Chinese calligraphy, traditional Chinese painting, Chinese embroidery, and Chinese beads. The effect of art therapy was analyzed using the General Self-Efficacy Scale and Scale of Social Skills for Psychiatric Inpatients. This study demonstrates that group art therapy using traditional Chinese materials can improve self-efficacy and social function, reducing social and life function problems, and promote the recovery of individuals diagnosed with schizophrenia. (shrink)

There is a prevalent view against the disquotational and the minimal theories of truth, that the most sensible solution to the Liar—that is, the gappy solution—is not available to them. I would like to argue that, though this solution is unavailable to the two theories, the prevailing argument and the reasoning behind this view are wrong. This paper mainly focuses on Simmons’ “Deflationary Truth and the Liar” (1999), within which the idea that disquotationalism can take the Liar in its stridein (...) terms of the gappy option is thoroughly criticised. Albeit Simmons’ account is about disquotationalism, it is in fact about truth theories with the disquotational feature. For Horwich’s minimal theory of truth to be feasible, it is in need of providing an account of which the primary truth bearers are utterances or sentences. The reasoning behind Simmons’ account and his argument is a widely accepted but in my opinion mistaken reading of deflationary theories, reading the deflationary axiom schemata as emphasising the redundant feature of the true predicate only. By analysing and criticising this reasoning the mistakes of this interpretation of the deflationary theories of truth are revealed. Simmons bases his argument on two premises: taking disquotational theory of truth asdefinitional theory and considering the main feature of the disquotational truth predicate as eliminability. In terms of the notion of parasitic liar, I will argue that Simmons fails to show the plausibility of one crucial premise of his argument—that is, the paradoxical or the pathological feature is missing from the disquotational mirrors of the Liar. I will further show what deflationary feature is misunderstood by those accounts similar to Simmons’. (shrink)

To improve sustainable practices and attract investors, companies in emerging markets have increasingly embraced strategies for inclusion in rapidly expanding sustainability indices. However, most early studies on socially responsible investment or sustainability investment have only focused on exploring the relationship between corporate sustainability and firm value. Moreover, little has been done to explore the practices of emerging market companies for engaging with a sustainability index. To address this research gap, we employed the decision-making trial and evaluation laboratory method to identify (...) critical factors that influence the inclusion of emerging market companies in the Dow Jones Sustainability Index. Five critical factors and best practices were identified based on the analysis of seven Taiwanese electronics companies that have been listed in the DJSI for several consecutive years. Our results provide insights on the critical factors and best practices that reinforce the sustainable practices of emerging market companies for inclusion in the DJSI. This study also contributes to the literature by investigating the engagement of emerging market companies with the DJSI. (shrink)

The existing differential item functioning detection approaches relying on item difficulty or item discrimination are limited for understanding the associates of DIF items, and consequently, DIF items were conventionally either deleted or ignored. Given the importance of minimizing DIF items in test construction, teachers or testing practitioners need more information regarding possible associates of DIF items. Using an example of a teacher-made mathematics achievement test, this study aimed to examine how the Poly-BW indices contributed to the properties of gender-related DIF (...) items. Data from a 34-item mathematics achievement test that involved 1,439 seventh-grade students from Taiwan showed that the differences of the defenselessness and power indices between men and women served as salient predictors of the DIF measures estimated by the Poly Simultaneous Item Bias Test procedure and with satisfactory accuracy of hit rates. Items with relatively large defenselessness for men were likely to present male-favoring DIFs, whereas items with relatively large power for men were likely to present female-favoring DIFs. The Poly-BW indices yielded directions for modifying items for teachers in practice. (shrink)