BackgroundPsychological resilience may reduce the impact of psychological distress to some extent. We aimed to investigate the mental health status of the public during the outbreak of coronavirus disease 2019 and explore the level and related factors of anxiety and depression.MethodsFrom February 8 to March 9, 2020, 3,180 public completed the Zung’s Self-Rating Anxiety Scale for anxiety, Zung’s Self-Rating Depression Scale for depression, the Connor–Davidson resilience scale for psychological resilience, and the Simplified Coping Style Questionnaire for the attitudes and coping (...) styles.ResultsThe number of people with depressive symptoms was 1,303. The number of people with anxiety symptoms was 1,184. The depressed group and anxiety group had less education, more unmarried and younger age, as well as had significant different in SDS total score, SAS total score, CD-RISC total score, and SCSQ score. The binary logistic regression showed that female, strength, and the subscales of active coping style in SCSQ remained protective factors and passive coping style and higher SAS score were risk factors for depression. Optimism in CD-RISC was a protective factor, and passive coping styles and higher SDS score were risk factors for anxiety.LimitationsThis study adopted a cross-sectional design and used self-report questionnaires.ConclusionThe mental health of the public, especially females, the younger and less educational populations, and unmarried individuals, should be given more attention. Individuals with high level of mental resilience and active coping styles would have lower levels of anxiety and depression during the outbreak of COVID-19. (shrink)

The present study will introduce us into a new world of Chinese imagology in the 18th century in France. Different from the negative side of the “sinophobes” such as Montesquieu and François Melon, Sade built a universe of a perfect China in which all crimes were justified. Nevertheless, as a libertine, his point of view was also different from the famous “sinophiles”, La Mothe Le Vayer, Pierre Bayle, Leibniz or Voltaire, for example. China as imagined by Sade was full of (...) infanticide, murder and incest. The pictorial description he uses was largely drawn from the Jesuit literature of that time and some famous travelers’ “relation”, time of the famous theological quarrels about the ritual, easily interested Sade. But, was Sade faithful to these sources or not? Could a libertine moralize about public denunciation? By this foreign image as a mirror, what did he want to explain, taking China as an example, for his own culture? We will give the answers in this article. (shrink)

There is a high need for cognition on earthquake risk to improve the public’s risk knowledge and risk awareness, so that they can make right decisions and take quick actions regarding mitigation measures and adjustments. In this study, search engine query data from the Baidu Index were extracted to reveal the information search behaviors of the Chinese public regarding the earthquake risk from 2010 to 2012. The data were also analyzed to discuss the characteristics of need for cognition on a (...) nationwide scale and over the long term. The results showed that graphic representations of need for cognition adhere to a “half-peak pattern” before and after earthquake events and dimensions in psychological distance theory, such as temporal distance, spatial distance, and social distance influence the need for cognition on earthquake risk that was the time and spatial discount effect. The implications for theory and practice regarding risk communication and management are discussed and concluded. (shrink)

A recent theory provides a unified cross-linguistic analysis of the interpretations that are assigned to expressions for disjunction, Negative Polarity Items, Free Choice Items, and the non-interrogative uses of wh-phrases in languages such as Mandarin Chinese. If this approach is on the right track, children should be expected to demonstrate similar patterns in the acquisition of these linguistic expressions. Previous research has found that, by age four, children have acquired the knowledge that both the existential indefinite renhe “any” and wh-words (...) in Mandarin Chinese are interpreted as Negative Polarity Items when they are bound by downward entailing operators, but the same expressions are interpreted as Free Choice Items when they are bound by deontic modals or by the Mandarin adverbial quantifier dou “all”. The present study extends this line of research to the Mandarin disjunction word huozhe. A Truth Value Judgment Task was used to investigate the possibility that disjunction phrases that are bound by the adverbial quantifier dou generate a conjunctive interpretation in the grammars of Mandarin-speaking 4-year-old children. The findings confirmed this prediction. We discuss the implications of the findings for linguistic theory and for language learnability. (shrink)

La raccolta di dati nella nostra era dell’”Information Technology” ha generato una rivoluzione nella conoscenza. Nell’era dei “big data”, la conseguente crescita senza precedenti dei dati, ha reso necessari cambiamenti nella scala, nella natura e nello stato dei dati, portando quindi i ricercatori ad adottare nuovi paradigmi e metodologie nella ricerca filosofica. In particolare, l’attenzione teorica della filosofia del linguaggio si è spostata verso la conoscenza cognitiva, con un’enfasi sulla proposizione particolare del “data turn” nella cognizione cognitiva nell’era dei “big (...) data”. Il paper esplora la potenziale portata della ricerca quantitativa del “data turn” nella filosofia del linguaggio, tramite l’analisi della necessità di trasformare i paradigmi della ricerca qualitativa e quantitativa, ricostruendo l’approccio quantitativo della filosofia del linguaggio ed ampliando l’analisi delle relazioni uomo-dati nella filosofia dei “big data”. Il paper conclude affermando che sono necessarie ulteriori ricerche per esaminare in modo ancor più approfondito la relazione tra linguaggio, dati e filosofia. (shrink)

Of the many possible individual factors bearing on test preparation, one is how individuals’ motivational and cognitive perceptions affect test-driven preparation practices. This study reports an investigation into test preparation of a high-stakes writing test from the perspective of expectancy-value theory. Undergraduate students on their test preparation for the writing tasks of China’s Graduate School Entrance English Examination were recruited voluntarily from 11 universities in mainland China. The perceptions of GSEEE test takers, which included goal, task value, task demand, and (...) expectation of success, were identified. Five types of preparation practices were identified for the GSEEE writing tasks: memorizing practice, test familiarization, comprehensive learning, skills development and drilling practice. Structural equation modeling revealed that the expectancy-value model held up well for the paths from test takers’ perceptions to test-driven preparation practices, which were not construct-oriented but goal-motivated. The GSEEE test takers’ goal, determined by the high-stakes nature of admission test, explained their motivation and determined their behavior toward test preparation. Results also indicated that task demand was inadequate to be termed a strong factor in affecting test preparation. As such, the findings of this study offer evidence regarding how an expectancy-value model fit into test preparation mechanism and provide insights into the nature and scope of test preparation for high-stakes writing tests. (shrink)

Recent advances in neuroscience indicate that analysis of bio-signals such as rest state electroencephalogram and eye-tracking data can provide more reliable evaluation of children autism spectrum disorder than traditional methods of behavior measurement relying on scales do. However, the effectiveness of the new approaches still lags behind the increasing requirement in clinical or educational practices as the “bio-marker” information carried by the bio-signal of a single-modality is likely insufficient or distorted. This study proposes an approach to joint analysis of EEG (...) and eye-tracking for children ASD evaluation. The approach focuses on deep fusion of the features in two modalities as no explicit correlations between the original bio-signals are available, which also limits the performance of existing methods along this direction. First, the synchronization measures, information entropy, and time-frequency features of the multi-channel EEG are derived. Then a random forest applies to the eye-tracking recordings of the same subjects to single out the most significant features. A graph convolutional network model then naturally fuses the two group of features to differentiate the children with ASD from the typically developed subjects. Experiments have been carried out on the two types of the bio-signals collected from 42 children. The results indicate that the proposed approach can achieve an accuracy of 95% in ASD detection, and strong correlations exist between the two bio-signals collected even asynchronously, in particular the EEG synchronization against the face related/joint attentions in terms of covariance. (shrink)

This study explored whether conditions that promote flexibility in task processing enhance the detrimental impact of irrelevant negative stimulation on performance. We approached this flexibility f...

Linguistic communication is an important part of the cross-cultural perspective, and linguistic textual emotion recognition is a key massage in interpersonal communication. Spanish is the second largest language system in the world. The purpose of this paper is to identify the emotional features in Spanish texts. The improved BiLSTM framework is proposed. We select three widely used Spanish dictionaries as the datasets for our experiments, and then we finally obtain text sentiment classification results through text preprocessing, text emotion feature extraction, (...) text topic detection, and emotion classification. We inserted the attention mechanism in the improved BiLSTM framework. It enables the shared feature encoder to obtain weighted representation results in the extraction of emotion features, which enhances the generalization ability of the model for text emotion feature recognition. Experimental results demonstrate that our approach performs better for specialized Spanish dictionary datasets. In terms of emotion recognition accuracy, the average value is as high as 76.21%. The overall performance outperforms current comparable machine learning methods and convolutional neural network methods. (shrink)

Background This study introduces an empirical approach for studying the role of prudence in physician treatment of end-of-life (EOL) decision making.Methods A mixed-methods analysis of transcripts from 88 simulated patient encounters in a multicenter study on EOL decision making. Physicians in internal medicine, emergency medicine, and critical care medicine were asked to evaluate a decompensating, end-stage cancer patient. Transcripts of the encounters were coded for actor, action, and content to capture the concept of Aristotelian prudence, and then quantitatively and qualitatively (...) analyzed to identify actions associated with preference-concordant treatment.Results Focusing on codes that describe characteristics of physician-patient interaction, the code for physicians restating patient preferences was associated with avoiding intubation. Multiple codes were associated with secondary measures of preference-concordant treatment.Conclusions Prudent actions can be identified empirically, and research focused on the virtue of prudence may provide a new avenue for assessment and training in EOL care. (shrink)