BackgroundTemporal interference (TI) stimulation is a novel technique that enables the non-invasive modulation of deep brain regions. However, the implementation of this technology in humans has not been well-characterized or examined, including its safety and feasibility.ObjectiveWe aimed to examine the feasibility, safety, and blinding of using TI on human participants in this pilot study.Materials and methodsIn a randomized, single-blinded, and sham-controlled pilot study, healthy young participants were randomly divided into four groups [TI and transcranial alternating current stimulation (tACS) targeting the (...) right frontoparietal region, TI-sham, and tACS-sham]. Each participant was asked to complete N-back (N = 1 to 3) tasks before, during, and after one session of stimulation to assess their working memory (WM). The side effects and blinding efficacy were carefully assessed. The accuracy, reaction time (RT), and inverse efficiency score (IES, reaction time/accuracy) of the N-back tasks were measured.ResultsNo severe side effects were reported. Only mild-to-moderate side effects were observed in those who received TI, which was similar to those observed in participants receiving tACS. The blinding efficacy was excellent, and there was no correlation between the severity of the reported side effects and the predicted type of stimulation that the participants received. WM appeared to be only marginally improved by TI compared to tACS-sham, and this improvement was only observed under high-load cognitive tasks. WM seemed to have improved a little in the TI-sham group. However, it was not observed significant differences between TI and TI-sham or TI and tACS in all N-back tests.ConclusionOur pilot study suggests that TI is a promising technique that can be safely implemented in human participants. Studies are warranted to confirm the findings of this study and to further examine the effects of TI-sham stimulation as well as the effects of TI on deeper brain regions. (shrink)

The issue of employability has already become a well-delineated topic of study among interpreting educators. However, the current literature still lacks descriptive research on interpreting students' employability development and ignores the developmental effects of interpreter competences in this process. Moreover, the advantage of using career adaptability for measurement is also under-researched. This exploratory case study aims at taking an initial step forward, surveying interpreting students' career adaptability development and the developmental effects of different interpreter competences on major adaptability resources, and (...) ultimately diagnosing curriculum problems and making modifications accordingly. Thirty grade 2019 interpreting students from three Chinese universities contributed to data collection, through six questionnaires in a two-wave survey. The results highlight that, throughout the Chinese MTI program, interpreting students could become more concerned and well prepared for their future, more curious to explore themselves and their surroundings, and more capable of solving problems. The results also indicate that students' knowledge and language competence serve as the major facilitators in this process, and that other interpreter competences, such as psychological competence, transfer competence, professionalism, and cross-cultural competence, are also instrumental. In order to further boost their adaptability constructs, the results suggest that students' language and knowledge competence, professionalism, and cross-cultural and mental agility still need to be improved. Five suggestions for curriculum revision have been raised accordingly. As an initial effort, the current study will hopefully inspire further studies on interpreting students' career adaptability and add more knowledge to the curriculum design from this viewpoint. (shrink)

The gradation of know-how is a prominent challenge to intellectualism. Know-how is prima facie gradable, whereas know-that is not, so the former is unlikely to be a species of the latter. Recently, Pavese refuted this challenge by explaining the gradation of know-how as concerning either the quantity or the quality of practical answers one knows to a question. Know-how per se remains absolute. This paper argues, however, that in addition to the quantity and quality of practical answers, know-how also differs (...) in how reliably the agent is supposed to fulfil the task given her default constitution. Intellectualism is still troubled by the gradability challenge. (shrink)

The teacher self is a composite psychological construct which encompasses the cognitive, affective, emotional, and social dimensions of teaching. This qualitative study draws on Bakhtin’s concepts of dialogism, answerability, and addressivity to discuss how English language teachers negotiated the shifting and conflictive context to construct selves in relation to the promoted communicative language teaching approach. Based on narrative interviews and classroom observations with five tertiary English teachers in China, we found that these teachers were actively engaged in the dialog with (...) their prior learning experiences and active, responsive in answering their contexts while authoring selves in everyday teaching practice. The multiple-case study data support a Bakhtinian understanding that teachers are active users and producers of theory in their own right, highlighting teachers’ agency, creativity, and autonomy. Based on Bakhtin’s dialogism and the case study findings, we bring cognition, identity and practice together and conceptualize the teacher self as having multiple facets and layers: the autobiographical self, the discursive self, and the pedagogical self. The three selves are constitutive of the consummated whole of the teacher self instead of being separate entities functioning individually. The study is concluded with implications for language teacher education and teacher development. (shrink)

In this paper, a 3D jerk chaotic system with hidden attractor was explored, and the dissipativity, equilibrium, and stability of this system were investigated. The attractor types, Lyapunov exponents, and Poincare section of the system under different parameters were analyzed. Additionally, a circuit was carried out, and a good similarity between the circuit experimental results and the theoretical analysis testifies the feasibility and practicality of the original system. Furthermore, a robust feedback controller was designed based on the finite-time stability theory, (...) which guarantees the synchronization of 3D jerk master-slave system in finite time and asymptotically converges to the origin. Finally, we also give verification for the discussion in this paper by numerical simulation. (shrink)

The product presentation videos on E-commerce platforms have a significant influence on consumers' purchase decisions, and enterprises have focused on choosing the type of product presentation videos. Based on the resource matching theory, mental imagery theory and cue utilization theory, this study investigated the influence of product presentation videos type on consumers' purchase intention and the moderating effect of product rating. Through three pre-experiments and two formal experiments, the results showed that the product usage video has a stronger effect on (...) consumers' purchase intention more than the product appearance video, which is mediated by perceived diagnosticity and mental imagery. In addition, product rating moderated the influence of product presentation videos type on consumers' purchase intention. The product usage video would improve consumers' purchase intention more than the product appearance video when the product rating is high; however, there is no significant difference in the impact of two types of videos on consumers' purchase intention when the product rating is low. This study supplements the research on product presentation videos and provides a reference for online retailers to select effective product presentation videos. (shrink)

Differential leadership as a localized leadership style gradually developed on the basis of the Pattern of Differential Sequence. It plays a dual role in stimulating “insider subordinates” and “outsider subordinates” through the dynamic transformation of the roles. Using the process of game reasoning, the study identifies the differing principles used by insider subordinates and outsider subordinates in implementing deviant innovative behaviors. The simulation graph presents the perceived benefits of employees performing or not performing deviant innovative behaviors as clues during the (...) reasoning process, and implements deviant innovative behaviors for the high risk-taking trait of insider subordinates and the high internal control personality of outsider subordinates who implement deviant innovation. The theoretical derivation of behavior provides relevant references, and provides counter measures for effectively promoting employees’ deviant innovative behavior in the context of differential leadership. (shrink)

The Affymetrix GeneChip is a popular microarray platform for genome‐wide expression profiling and has been widely used in functional genomics especially in the classification of cancers. Due to the updating of genome data, much of the genome information with which the chips were designed is out‐of‐date and it has been reported that many of the genes/transcripts on the chips differ from their original definition when mapping the probes to the new genome information. Dai et al. have reported that the updated (...) definition can cause as much as 30–50% discrepancy in the genes selected as differentially expressed on a heart tissue expression profiling dataset. Understanding the nature of this difference is therefore very important for the utilization of the data. In this work, with a large cancer dataset as an example, we compared two major definitions and investigated their effects on classification, clustering, discovery of differentially expressed genes and gene‐set‐based analysis. Results show that the two definitions agree well on clustering and classification results but genes and gene sets discovered as differentially expressed or enriched can be very different. Discoveries based on the Affymetrix definition can cover most of those based on the new definition, but tend to have more false positives. BioEssays 28: 739–746, 2006. © 2006 Wiley Periodicals, Inc. (shrink)

In recent decades, researchers have attempted to prospectively identify individuals at high risk of developing psychosis in the hope of delaying or preventing psychosis onset. These psychosis risk individuals are identified as being in an ‘At-Risk Mental State’ (ARMS) through a standardised psychometric interview. However, disclosure of ARMS status has attracted criticism due to concerns about the risk–benefit ratio of disclosure to patients. Only approximately one quarter of ARMS patients develop psychosis after three years, raising concerns about the unnecessary harm (...) associated with such ‘false-positive’ results. These harms are especially pertinent when identifying psychosis risk individuals due to potential stigma and discrimination in a young clinical population. A dearth of high-quality evidence supporting interventions for ARMS patients raises further doubts about the benefit accompanying an ARMS disclosure. Despite ongoing discussion in the bioethical literature, these concerns over the ethical justification of disclosure to ARMS patients are not directly addressed in clinical guidelines. In this paper, we aim to provide a unified disclosure strategy grounded in principle-based analysis for ARMS clinicians. After considering the ethical values at stake in ARMS disclosure, and their normative significance, we argue that full disclosure of the ARMS label is favoured in the vast majority of clinical situations due to the strong normative significance of enhancing patients' understanding. We then compare our framework with other approaches to ARMS disclosure and outline its limitations. (shrink)

Heidegger maintains that the root of modern technology, like that of all other technologies, lies in technē. However, because the art dimension of technē is suppressed in modern technology, the essence of this technology becomes a Gestell that enforces product-making, and thus drives technology beyond the control of human beings. The more fundamental reason underlying this “frame-becoming” nature is “the mathematical” that emerges in ancient Greece, which, through the Cartesian subject-object dichotomy, turns the world into the images represented by the (...) subject, and things into definite objects. To escape the dictatorship of the Gestell, it is necessary to re-realize the art-dimension of technē in modern technology, i. e. to let the gentle granting nature of the enowning re-master technology. In this respect, both Heidegger and Heisenberg were inspired by or at least resonated with Lao Zi or Zhuang Zi’s Dao. Confucians will greatly appreciate the critique of modern technology by Heidegger, and especially his view of returning “home” to overcome the possible dangers brought about by technology. However, from the perspective of Confucianism, Heidegger’s critique contains some shortcomings: for example, his ignorance of the individualistic impact in the Gestell and his unidirectional “ontological difference,” which leads him to a view of “home” that lacks “family” and therefore renders his solution loose and rootless. Only an organic community originated in the family, be it Confucian or Amish, can effectively reduce the control of modern technology over the human being. (shrink)

The complex chaotic dynamics and multistability of financial system are some important problems in micro- and macroeconomic fields. In this paper, we study the influence of two-delay feedback on the nonlinear dynamics behavior of financial system, considering the linear stability of equilibrium point under the condition of single delay and two delays. The system undergoes Hopf bifurcation near the equilibrium point. The stability and bifurcation directions of Hopf bifurcation are studied by using the normal form method and central manifold theory. (...) The theoretical results are verified by numerical simulation. Furthermore, one feature of the proposed financial chaotic system is that its multistability depends extremely on the memristor initial condition and the system parameters. It is shown that the nonlinear dynamics of financial chaotic system can be significantly changed by changing the values of time delays. (shrink)

This article examines the risk and return profiles of stock indices composed of companies meeting environmental, social and governance screening criteria [such as the Dow Jones Sustainability Indices ] and conventional composite indices of eight Asian countries from 2002 to 2014. The results indicate that there are no significant differences in the returns or risk-adjusted returns between the ESG indices and the composite indices within countries. The results do reveal that the market volatility of the ESG indices is higher than (...) the market volatility of the conventional indices. Market betas of DJSI and ESG equity indices are significantly lower than betas of the composite equity indices. The overall results indicate that the performance of ESG equity indices of many Asian countries is similar to the performance of conventional indices, suggesting that investors can pursue socially responsible investing objectives without a material difference in portfolio performance from conventional investing. (shrink)

Errors are inevitable in an increasingly risky and dynamic entrepreneurial environment. The error management and the error climate perceived by the members are crucial to the subsequent innovation behaviors. Maintaining and improving the psychological capital of entrepreneurs under errors is not only the psychological activities of entrepreneurs themselves but also a critical management process in which an organization can influence the psychological factors and behaviors of entrepreneurs through error management climate. In the context of Chinese culture, this study explores the (...) influence of error management climate on entrepreneurial self-efficacy and innovation behavior under the boundary condition of Zhongyong thinking. Two hundred ninety samples of Chinese entrepreneurs are empirically analyzed in this study, and results show that: error management climate and entrepreneurial self-efficacy have significant positive effects on entrepreneurs’ innovation behavior; entrepreneurial self-efficacy mediates the relationship between error management climate and innovation behavior; and Zhongyong thinking plays moderating roles in the process of error management climate influencing innovation behavior. This study complements the entrepreneurship literature with its focus on error management climate as an essential antecedent of entrepreneurial self-efficacy, and promotes an understanding of how Chinese practitioners promote innovative behavior from a cultural perspective. (shrink)

Several previous studies have reported atypicality in resting-state functional connectivity in autism spectrum disorder, yet the relatively small effect sizes prevent us from using these characteristics for diagnostic purposes. Here, canonical correlation analysis and hierarchical clustering were used to partition the high-functioning ASD group into subgroups. A support vector machine model was trained through the 10-fold strategy to predict Autism Diagnostic Observation Schedule scores within the ASD discovery group, which was further validated in an independent sample. The neuroimage-based partition derived (...) two subgroups representing severe versus mild autistic patients. We identified FCs that show graded changes in strength from ASD-severe, through ASD-mild, to controls, while the same pattern cannot be observed in partitions based on ADOS score. We also identified FCs that are specific for ASD-mild, similar to a partition based on ADOS score. The current study provided multiple pieces of evidence with replication to show that resting-state functional magnetic resonance imaging FCs could serve as neural biomarkers in partitioning high-functioning autistic individuals based on their symptom severity and showing advantages over traditional partition based on ADOS score. Our results also indicate a compensatory role for a frontocortical network in patients with mild ASD, indicating potential targets for future clinical treatments. (shrink)

Brain lateralization of lexical tone processing remains a matter of debate. In this study we used a dichotic listening paradigm to examine the influences of the knowledge of Jyutping, linguistic-processing demand and tone type on the ear preference pattern of native tone processing in Hong Kong Cantonese speakers. While participants with little knowledge of Jyutping showed a previously reported left-ear advantage, those with a good level of Jyutping expertise exhibited either a right-ear advantage or bilateral processing during lexical tone identification (...) and contour tone discrimination, respectively. As for the effect of linguistic-processing demand, while an LEA was found in acoustic/phonetic perception situations, this advantage disappeared and was replaced by a bilateral pattern in conditions that involved a greater extent of linguistic processing, suggesting an increased involvement of the left hemisphere. Regarding the effect of tone type, both groups showed an LEA in level tone discrimination, but only the Jyutping group demonstrated a bilateral pattern in contour tone discrimination. Overall, knowledge of written codes of tones, greater degree of linguistic processing and contour tone processing seem to influence the brain lateralization of lexical tone processing in native listeners of Cantonese by increasing the recruitment of the left-hemisphere language network. (shrink)

Kindergarten climate has been reported to be closely associated with teachers' retention intention, yet the underlying mechanism of this association remains unclear in some ethnic minority areas in China. Based on the Personal-Environment Fit Theory and Organizational Support Theory, the research aims to examine the correlation between kindergarten climate and retention intention of Chinese kindergarten teachers in ethnic minority areas and the chain mediating role of perceived organizational support, as well as the psychological empowerment. In total, 1,199 Chinese kindergarten teachers (...) were recruited from ethnic minority areas to complete the questionnaires. Based on their responses, the main findings of the study were listed as follows: A supportive kindergarten climate has a positive correlation with perceived organizational support, psychological empowerment, and retention intention. A positive kindergarten climate would increase the retention intention only through the indirect path of perceived organizational support, psychological empowerment, as well as the chain mediating path between these two variables. Taken together, these results further explained the interplay between kindergarten climate and teachers' retention intention. Implications for research on retention intention were discussed. Theoretically, it enriches the theoretical basis related to the external environmental resources and individual cognition. Practically, it means that educational policymakers will need to issue new guidelines to ensure that more kindergarten teachers are retained in China's ethnic minority areas. (shrink)

This paper identifies brand age as an important factor in consumers’ brand evaluations following unethical firm behavior. In two experiments, we assess the effect of brand age on three types of brand evaluations: perceived quality, brand credibility, and behavioral intentions following a brand crisis. The findings suggest that disclosing an older brand’s age can not only improve consumers’ brand evaluations in general, but can also provide a buffering effect when the firm is involved in unethical behavior. Moreover, the relationship between (...) brand age and consumers’ post-crisis intentions is mediated by perceived brand credibility. By exploring consumers’ attitudes following the most common firm response strategies, this research also identifies a boundary condition of the mitigating effect of brand age. Several significant implications for practitioners are discussed. (shrink)

With the increasing scale of e-commerce, the complexity of image content makes commodity image classification face great challenges. Image feature extraction often determines the quality of the final classification results. At present, the image feature extraction part mainly includes the underlying visual feature and the intermediate semantic feature. The intermediate semantics of the image acts as a bridge between the underlying features and the advanced semantics of the image, which can make up for the semantic gap to a certain extent (...) and has strong robustness. As a typical intermediate semantic representation method, the bag-of-visual-words model has received extensive attention in image classification. However, the traditional BoVW model loses the location information of local features, and its local feature descriptors mainly focus on the texture shape information of local regions but lack the expression of color information. Therefore, in this paper, the improved bag-of-visual-words model is presented, which contains three aspects of improvement: multiscale local region extraction; local feature description by speeded up robust features and color vector angle histogram ; and diagonal concentric rectangular pattern. Experimental results show that the three aspects of improvement to the BoVW model are complementary, while compared with the traditional BoVW and the BoVW adopting SURF + SPM, the classification accuracy of the improved BoVW is increased by 3.60% and 2.33%, respectively. (shrink)

Mathematically gifted students are precious human resources, educators of which make a great difference in helping them realize their potential. The retention of qualified teachers of mathematically gifted students is an issue worthy of in-depth exploration. In China, mathematics competitions are an important part of mathematics gifted education, and the teaching of the Mathematical Olympiad is a challenging profession with a high attrition rate. This qualitative study takes four seasoned and outstanding Chinese teachers as cases, collects data through individual semi-structured (...) interviews, and uses the thematic analysis method based on Herzberg’s two-factor theory to analyze why they can persist in the field of Mathematical Olympiad teaching for more than 20 years. The results show that the motivation factors affecting retention are recognition, achievement, possibility of growth, work itself, and responsibility, and the hygiene factors are policy and interpersonal relationships. Motivation factors are the main reason for their long-term persistence, while hygiene factors are conducive to their persistence as a whole. Finally, enlightenment to educational policy and school management and suggestions for retention and development of teachers of the mathematically gifted are provided. (shrink)

Longitudinal diagnostic classification models (DCMs) with hierarchical attributes can characterize learning trajectories in terms of the transition between attribute profiles for formative assessment. A longitudinal DCM for hierarchical attributes was proposed by imposing model constraints on the transition DCM. To facilitate the applications of longitudinal DCMs, this paper explored the critical topic of the Q-matrix design with a simulation study. The results suggest that including the transpose of the R-matrix in the Q-matrix improved the classification accuracy; ten-item tests measuring three (...) linear attributes across three time points provided satisfactory classification accuracy for low-stakes assessment. Educational implications and future directions were discussed. (shrink)

Current development in a deep neural network has given an opportunity to a novel framework for the reconstruction of a holographic image and a phase recovery method with real-time performance. There are many deep learning-based techniques that have been proposed for the holographic image reconstruction, but these deep learning-based methods can still lack in performance, time complexity, accuracy, and real-time performance. Due to iterative calculation, the generation of a CGH requires a long computation time. A novel deep generative adversarial network (...) holography framework is proposed for hologram reconstruction. This novel framework consists of two phases. In phase one, we used the Fresnel-based method to make the dataset. In the second phase, we trained the raw input image and holographic label image data from phase one acquired images. Our method has the capability of the noniterative process of computer-generated holograms. The experimental results have demonstrated that the proposed method outperforms the existing methods. (shrink)

This work illustrates China’s values and how they are practiced. After introducing readers to the theories, systematical structure, historical status, and influence of traditional Chinese values, it points out major developmental trends in connection with modernization. Further, it explores the significance of the contemporary reconstruction of Chinese values and argues that these values can be divided into three layers: values-based goals of national development, Chinese values concepts, and norms of values in a civil society. On this basis, it subsequently interprets (...) the core socialist values “Prosperity, Democracy, Civility and Harmony,” the value concepts “Freedom, Equality, Justice and Rule of Law” and values-based norms “Patriotism, Dedication, Integrity and Friendship.”. (shrink)

Context. Social media platforms such as Facebook and Twitter carry a big load of people’s opinions about politics and leaders, which makes them a good source of information for researchers to exploit different tasks that include election predictions. Objective. Identify, categorize, and present a comprehensive overview of the approaches, techniques, and tools used in election predictions on Twitter. Method. Conducted a systematic mapping study on election predictions on Twitter and provided empirical evidence for the work published between January 2010 and (...) January 2021. Results. This research identified 787 studies related to election predictions on Twitter. 98 primary studies were selected after defining and implementing several inclusion/exclusion criteria. The results show that most of the studies implemented sentiment analysis followed by volume-based and social network analysis approaches. The majority of the studies employed supervised learning techniques, subsequently, lexicon-based approach SA, volume-based, and unsupervised learning. Besides this, 18 types of dictionaries were identified. Elections of 28 countries were analyzed, mainly USA and Indian elections. Furthermore, the results revealed that 50% of the primary studies used English tweets. The demographic data showed that academic organizations and conference venues are the most active. Conclusion. The evolution of the work published in the past 11 years shows that most of the studies employed SA. The implementation of SNA techniques is lower as compared to SA. Appropriate political labelled datasets are not available, especially in languages other than English. Deep learning needs to be employed in this domain to get better predictions. (shrink)

Ben shu gong jiu zhang, nei rong bao gua : dao lun ; fu za xing shi jiao xia de fa gai nian li lun ; zhe xue shi jiao xia fa gai nian li lun ; jing ji xue shi jiao xia de fa gai nian li lun ; zheng zhi xue shi jiao xia de fa gai nian li lun ; she hui xue shi jiao xia de fa gai nian li lun ; shu xue shi jiao (...) xia de fa gai nian li lun deng. (shrink)

The coronavirus disease 2019 (COVID-19) pandemic has fueled anti-Asian, especially anti-Chinese sentiments worldwide, which may negatively impact diasporic Chinese youths’ adjustment and prosocial development. This study examined the association between compassion, discrimination and prosocial behaviors in diasporic Chinese youths during the COVID-19 pandemic. 360 participants participated and completed the multi-country, cross-sectional, web-based survey between April 22 and May 9, 2020, the escalating stage of the pandemic. This study found compassion as prosocial behaviors’ proximal predictor, while discrimination independently predicted participation in (...) volunteering, and could potentially enhance the association between compassion and charitable giving. These findings suggest that prosociality among young people is sensitive to social context, and that racial discrimination should be considered in future prosocial studies involving young members of ethnic and racial minorities. (shrink)

It has not been clarified if attention influences perception of targets in visual masking. Three forms of common masks were thus chosen in the present study and presented with character targets in three temporal sequences. In order to pinpoint the level of processing where masking arises, character targets were varied in depth of processing from random arrangements of strokes up to real Chinese characters. The attentional influence was examined under perceptual discrimination and lexical decision tasks, respectively. The results revealed significant (...) interactions among four factors. Identification of character targets in each form of mask sequence varied with task demand, with greater suppression in the perceptual discrimination task. These findings suggested that attentional demand can bias processing in favor of task-related information in visual masking. Variations in masking effects may be contributed by both attentional demand and spatio-temporal interaction. (shrink)