This essay examines the depiction of French ragout in eighteenth-century English literature, arguing that the dish reflects social apprehension regarding ideological, cultural, and military conflicts between England and France. This essay first traces a brief history of ragout, along with an overview of the dish’s cultural connotation and complexity, in eighteenth-century English society. It next delves into the concept of eighteenth-century English Francophobia, demonstrating that this sentiment was a mixture of national pride and anxiety amid England’s identity crisis under the (...) potential French cultural threat. Finally, the essay examines ragout in eighteenth-century English literature and identifies the dish as the target of French pretension and cultural invasion. This research highlights the fact that eighteenth-century English authors’ satirical portrait of ragout underscored xenophobic gastronomy and cautioned against a simple interpretation of the dish. The caricature and representation of ragout as a feminized, artificial, and laughable dish reinforces eighteenth-century English writers’ concern for the invasion of foreign culture by emphasizing the contrast between authentic ‛Anglo’ meat consumption and ‛Franco’ sophistication. (shrink)

Ben shu tong guo dui yu Li Zhuowu he Yangming xue de chan shi, dui yu Zhongguo qian jin dai bu tong yu xi fang de lu xiang jin xing le bian xi, ren wei"zai Zhongguo si xiang zhong cun zai zhe bu tong yu Ouzhou si xiang shi de zhan kai de Zhongguo du zi de si xiang shi de zhan kai", fan dui yi ban chang jian de, yi Ouzhou de li shi zhan kai he jia zhi guan (...) wei ji zhun de xi fang zhong xin lun li shi guan, cong er zai Zhongguo nei zai de si xiang li lu zhong xun zhao Zhongguo de"jin dai"ji qi"qu she yu fa zhan"; ta hai da po le zai Riben tong xing de dui yu Li Zhuowu tong xin shuo shi ge ren zhu yi biao xian de fu qian shuo fa, ba Li Zhuowu wan qi de fu za si xiang, te bie shi fo jiao si xiang zai ta shen shang de du te ti xian tui xiang dui yu ming dai si xiang ben shen de jie shi. (shrink)

Young netizens are an emerging generator of online content, engaging in an increasing number of online flaming interactions. This shortened communication mode has incorporated power amplifiers, enabling the inclusion of both verbal and non-verbal triggers, thereby initiating abuses akin to cyberbullying. Cyberbullying has emerged as an extremely unstable hot issue, which is difficult to regulate upstream, severely impacting inexperienced young netizens. This Machiavellian apparatus proves to be sophisticated, given its powerful nature, and results in its victims being ensnared in a (...) cyber net from which they see very little escape. Laws have been enacted to combat cyberbullying, which is rampant among netizens, highly naive or actively aggressive in their use of various social media platforms. (shrink)

In this paper, we discuss the development and piloting of a new methodology for illuminating the socio-material constitution of data objects and flows as data move between different sites of practice. The data journeys approach contributes to the development of critical, qualitative methodologies that can address the geographic and temporal scale of emerging knowledge infrastructures, and capture the ‘life of data’ from their initial generation through to re-use in different contexts. We discuss the theoretical development of the data journeys methodology (...) and the application of the approach on a project examining meteorological data on their journey from initial production through to being re-used in climate science and financial markets. We then discuss three key conceptual findings from this project about: the socio-material constitution of digital data objects, ‘friction’ in the movement of data through space and time and the mutability of digital data as a material property that contributes to driving the movement of data between different sites of practice. (shrink)

We investigated whether adults have attentional bias toward infant faces, whether it is moderated by infant facial expression, and the predictive effect of the adult attachment state on it. One hundred unmarried nulliparous college students [50 men and 50 women; aged 17–24 years ] were recruited. Each completed a self-report questionnaire—the Chinese version of the State Adult Attachment Measure, and a dot-probe task with a stimulus presentation duration of 500 ms, which used 192 black-and-white photographs of 64 people as the (...) experimental stimuli. The results showed that, at the duration of 500 ms, individuals' attentional bias toward infant faces disappeared, regardless of the facial expression. However, when the interaction between avoidant attachment state and face was controlled, the attentional bias was significant again, and the avoidant attachment state negatively predicted individuals' attentional bias toward infant faces. This indicates that at the suprathreshold stage, there are individual differences in the attentional bias toward infant faces, and high avoidant attachment will weaken individuals' attentional bias toward infant faces. This study advances previous studies that focused only on individuals' attention to infant faces occurring at the early processing stage of attention. The results provide direction for interventions; specifically, changing the attachment state of avoidant individuals can affect their attention to infants, which may promote the establishment of parent–child relationships. (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 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)

The effective controlling and monitoring of an industrial process through the integration of statistical process control and engineering process control has been widely addressed in recent years. However, because the mixture types of disturbances are often embedded in underlying processes, mixture control chart patterns are very difficult for an SPC-EPC process to identify. This can result in problems when attempting to determine the underlying root causes of process faults. Additionally, a large number of categories of disturbances may be present in (...) a process, but typical single-stage classifiers have difficulty in identifying large numbers of categories of disturbances in an SPC-EPC process. Therefore, we propose a two-stage neural network based scheme to enhance the accurate identification rate for MCCPs by performing dimension reduction on disturbance categories. The two-stage scheme includes a combination of a NN, support vector machine, and multivariate adaptive regression splines. Experimental results reveal that the proposed scheme achieves a satisfactory AIR for identifying MCCPs in an SPC-EPC system. (shrink)

Exhibitions dedicated to the theme of "Red China" occupy an important place in the dissemination of "red" culture, the continuity of the "red" gene and the intensification of "red" education. They reflect the political agenda, have a distinct content and the uniqueness of the text material. Being an important element of the spread of "red" culture, exhibitions on the theme of "Red China" integrate elements of this culture into people's daily lives and play an active role in preserving and multiplying (...) the "red" gene. In this article, the systematization and generalization of knowledge in the field of narrative strategy of exhibitions on the theme of "Red China" is carried out from the point of view of ontology, structure and narrative carrier, which at the present stage is important for building a strong socialist ideology. Exhibitions on the theme of "Red China" are an important way of materialization, visualization and dissemination of "red" culture, as well as an effective means of its popularization. The study found that the "Red" exhibitions should have a "revolutionary content", have a "political character", be "mutually recognized by the authorities and the people", take on the main responsibility for providing people with common access to material and spiritual culture. From the point of view of the communication function of the "red" exhibitions, they are an important means of organizing ideological and political education by the Communist Party of China, strengthening social harmony and promoting basic values. (shrink)

Professionals in various disciplines adopt significantly different lexicons to report their discoveries and arguments. Scientists discover, philosophers argue, whereas legal practitioners apply and consider. Reporting, as a ubiquitous linguistic phenomenon, has its disciplinary characteristics. In court judgments, it reflects the way judges identify the evidence of different documents or other courts. In the self-built court judgment corpus, the paper focuses on the way that judicial arguments are constructed through reporting verbs. On the basis of the analysis of the representation and (...) distribution of reporting verbs in court judgments, the study identifies the reporting verbs with high frequencies in court judgments and compares these reporting verbs with those in the comparable reference corpus, written sampler of British National Corpus, which works as a reference corpus. It is found that the tokens of reporting verbs in court judgments are slightly less than those in general texts; the distribution pattern of the speech act verbs and mental verbs in the self-built court judgment corpus is similar to the pattern of two kinds of reporting verbs in the reference corpus; judicial speech act verbs are employed to express the authority of the statements, whereas the judicial mental verbs illustrate the legal reasoning process with individual agents; and there is a significant difference in terms of the reporting verbs’ frequencies within the court judgments and general texts. The results show that the reporting verbs in court judgments have their uniqueness, which may cast light on both judicial and pedagogical practices. (shrink)

The automated valuation of benchmark land price plays an essential role in regulating land demand in Chinese real-estate market as the big data are currently accumulated rapidly. However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land price-influencing factors. In this paper, an effective data-driven automated valuation framework is proposed for valuing real estate assets by combining a GIS and neural network technologies. This framework can automatically obtain the values of spatial factors affecting (...) land price from GIS and generate training set data for training the neural network to identify the complex relationship between all kinds of factors and benchmark land prices. The effectiveness and universality of the framework is verified via the data of benchmark land prices in Wuhan. The framework can be applied for automated benchmark land price valuation in other cities. (shrink)

本书分四章,包括:时代政治环境与士人心态;时代学术的发展;清代学者的反思及以礼代理的出现;儒学由内到外的转变及其影响等内容.

This paper proposes an epistemic logical framework for demanding knowing why in the natural sciences. Our focus is on the phenomena and their respective causal factors revealed by experiments. Two novel modalities \(\textsf{E}(\psi,\varphi )\) and \(\textsf {W}((\psi _1,\varphi _1)\bullet (\psi _2,\varphi _2)\bullet \cdots \bullet (\psi _n,\varphi _n))\) are introduced over models that deviate from the usual epistemic models by having both experimental evidence and the scientific theories, which is inspired by scientific practices. The modality \(\textsf{E}\) expresses scientists’ have (conclusive) experimental (...) evidence indicating a dependence relation between the causal factor \(\psi \) and \(\varphi \). Based on the evidence, scientists often package some (perhaps seemingly unrelated) phenomena together, and the modality \(\textsf{W}\) captures scientists’ knowing why in their entirety, or having systematic knowledge-why of them, which amounts to having a _unified_ scientific theory of all these dependences. A sound and complete axiomatization is given, followed by a decidability result. Many notions of much philosophical interest are embodied in the present framework. We also draw several comparisons and connections with some existing relevant logical work. (shrink)

Social attachment can explain well the bond between users and social media, but existing research lacks measures of social attachment scales. To this end, this study takes attachment theory as the basis for scale development. On the basis of the development of multidimensional scales for adult, brand, and local attachment, it combines existing relevant studies on social attachment, selects three representative social media such as TikTok, WeChat, and MicroBlog as theoretical samples, explores the concept and structure of social attachment, and (...) develops a social attachment scale through qualitative interviews and open-ended questionnaires. This study applied SPSS 24.0 and Mplus 7.0 to test the social attachment scale. The findings reveal that social attachment consists of three constructs: social connection, social dependence and social identity, and the scale possesses high reliability and validity. This study has developed and validated a social attachment scale in the context of social software use, realizing a quantitative study of social attachment and providing a basis for future empirical research related to social attachment. (shrink)

In recent years, somatosensory interaction technology, represented by Microsoft’s Kinect hardware platform, has been widely used in various fields, such as entertainment, education, and medicine. Kinect technology can easily capture and record behavioral data, which provides new opportunities for behavioral and psychological correlation analysis research. In this paper, an automatic decision-style recognition method is proposed. Experiments involving 240 subjects were conducted to obtain face data and individual decision-making style score. The face data was obtained using the Kinect camera, and the (...) decision-style score were obtained via a questionnaire. To realize automatic recognition of an individual decision-making style, machine learning was employed to establish the mapping relationship between the face data and a scaled evaluation of the decision-making style score. This study adopts a variety of classical machine learning algorithms, including Linear regression, Support vector machine regression, Ridge regression, and Bayesian ridge regression. The experimental results show that the linear regression model returns the best results. The correlation coefficient between the linear regression model evaluation results and the scale evaluation results was 0.6, which represents a medium and higher correlation. The results verify the feasibility of automatic decision-making style recognition method based on facial analysis. (shrink)

Mathematics is an important foundation for the development of science education. In the past, when instructors taught mathematical concepts of geometry shapes, they usually used traditional textbooks and aids to conduct teaching activities, which resulted in students not being able to understand the principles completely. Nowadays, it has become a trend to integrate emerging technologies into mathematics courses and to use digital instructional aids. Emerging technologies can effectively enhance students’ sensory experience while strengthening their impressions and understandings of subject concepts. (...) In this paper, we apply virtual reality immersive technologies to develop a “virtual reality immersive learning mathematics geometry system,” which is used to teach mathematical geometry concepts. Teachers use the system to develop three basic mathematical geometry learning materials: “Triangular pyramid volume = 1/3 prism volume,” “Cone volume calculation,” and “Triangle center of gravity derivation.” In the experimental activity, the teacher uses virtual reality teaching aids to guide students to learn mathematical geometry concepts in a fun way so that they can achieve the effectiveness of immersive learning. This study explores the impact of using the virtual reality immersive learning mathematics geometry system on students’ technology acceptance, learning motivations, and learning performance. The experimental result showed that using the virtual reality immersive learning mathematics geometry system can improve the learning motivation and learning performance of students. The findings indicated that the experimental group had better learning outcomes after completing the learning tasks of three geometric units. The experimental group used the virtual reality immersive learning mathematics geometry system which can lead to better learning outcomes. According to the ARCS questionnaire, students in the experimental group were confident to understand new subjects. At the same time, the mode of completing the game can effectively give students a sense of accomplishment. The use of emerging technologies in the classroom can be an attractive learning mode for students. (shrink)

This paper discusses the Chinese philosophy of divination, named Wuxingyi, or the doctrine of yi of the Five Elements. Wuxing is a method of divination established from Han dynasty, which ful...

ObjectivesAbnormal brain function in ASD patients changes dynamically across developmental stages. However, no one has studied the brain function of prepubertal children with ASD. Prepuberty is an important stage for children’s socialization. This study aimed to investigate alterations in local spontaneous brain activity in prepubertal boys with ASD.Materials and MethodsMeasures of the amplitude of low-frequency fluctuations and regional homogeneity acquired from resting-state functional magnetic resonance imaging database, including 34 boys with ASD and 49 typically developing boys aged 7 to 10 (...) years, were used to detect regional brain activity. Pearson correlation analyses were conducted on the relationship between abnormal ALFF and ReHo values and Autism Diagnostic Observation Schedule and Autism Diagnostic Interview-Revised scores.ResultsIn the ASD group, we found decreased ALFF in the left inferior parietal lobule and decreased ReHo in the left lingual gyrus, left superior temporal gyrus, left middle occipital gyrus, and right cuneus. There were negative correlations between ReHo values in the left LG and left STG and the ADOS social affect score and a negative correlation between ReHo values in the left STG and the calibrated severity total ADOS score.ConclusionBrain regions with functional abnormalities, including the left IPL, left LG, left STG, left MOG, and right cuneus may be crucial in the neuropathology of prepubertal boys with ASD. Furthermore, ReHo abnormalities in the left LG and left STG were correlated with sociality. These results will supplement the study of neural mechanisms in ASD at different developmental stages, and be helpful in exploring the neural mechanisms of prepubertal boys with ASD. (shrink)

There is increasing interest in clarifying how different face emotion expressions are perceived by people from different cultures, of different ages and sex. However, scant availability of well-controlled emotional face stimuli from non-Western populations limit the evaluation of cultural differences in face emotion perception and how this might be modulated by age and sex differences. We present a database of East Asian face expression stimuli, enacted by young and older, male and female, Taiwanese using the Facial Action Coding System (FACS). (...) Combined with a prior database, this present database consists of 90 identities with happy, sad, angry, fearful, disgusted, surprised and neutral expressions amounting to 628 photographs. 20 young and 24 older East Asian raters scored the photographs for intensities of multiple-dimensions of emotions and induced affect. Multivariate analyses characterized the dimensionality of perceived emotions and quantified effects of age and sex. We also applied commercial software to extract computer-based metrics of emotions in photographs. Taiwanese raters perceived happy faces as one category, sad, angry, and disgusted expressions as one category, and fearful and surprised expressions as one category. Younger females were more sensitive to face emotions than younger males. Whereas older males showed reduced face emotion sensitivity, older female sensitivity was similar or accentuated relative to young females. Commercial software dissociated six emotions according to the FACS demonstrating that defining visual features were present. Our findings show that East Asians perceive a different dimensionality of emotions than Western-based definitions in face recognition software, regardless of age and sex. Critically, stimuli with detailed cultural norms are indispensable in interpreting neural and behavioral responses involving human facial expression processing. To this end, we add to the tools, which are available upon request, for conducting such research. (shrink)

Several functional magnetic resonance imaging studies have demonstrated abnormalities in static intra- and interhemispheric functional connectivity among diverse brain regions in patients with major depressive disorder. However, the dynamic changes in intra- and interhemispheric functional connectivity patterns in patients with MDD remain unclear. Fifty-eight first-episode, drug-naive patients with MDD and 48 age-, sex-, and education level-matched healthy controls underwent resting-state fMRI. Whole-brain functional connectivity, analyzed using the functional connectivity density approach, was decomposed into ipsilateral and contralateral functional connectivity. We computed (...) the intra- and interhemispheric dynamic FCD using a sliding window analysis to capture the dynamic patterns of functional connectivity. The temporal variability in functional connectivity was quantified as the variance of the dFCD over time. In addition, intra- and interhemispheric static FCD patterns were calculated. Associations between the dFCD variance and sFCD in abnormal brain regions and the severity of depressive symptoms were analyzed. Compared to HCs, patients with MDD showed lower interhemispheric dFCD variability in the inferior/middle frontal gyrus and decreased sFCD in the medial prefrontal cortex/anterior cingulate cortex and posterior cingulate cortex/precuneus in both intra- and interhemispheric comparisons. No significant correlations were found between any abnormal dFCD variance or sFCD at the intra- and interhemispheric levels and the severity of depressive symptoms. Our results suggest intra- and interhemispheric functional connectivity alterations in the dorsolateral prefrontal cortex and default mode network regions involved in cognition, execution and emotion. Furthermore, our study emphasizes the essential role of altered interhemispheric communication dynamics in the DLPFC in patients with MDD. These findings contribute to our understanding of the pathophysiology of MDD. (shrink)