看“跑男” 谈地理——巧解“绪言”三问

上好初中地理“绪言”课，对于学生今后的地理学习和综合发展有着积极的意义。文章通过对《奔跑吧》节目内容的挖掘与整合，结合节目素材，探讨地理学习的内容、意义和方法。

“绪言 空气”导学

一、辨析两组概念1．物理变化和化学变化的比较 二、知晓两类成分1．空气的组成成分空气是一种混合物，主要包括(体积分数)氮气78％，氧气2l％，稀有气体0．94％，二氧化碳0．03％，其他气体和杂质0．03％．

SPEECH EMOTION RECOGNITION USING MODIFIED QUADRATIC DISCRIMINATION FUNCTION

Quadratic Discrimination Function （QDF） is commonly used in speech emotion recognition, which proceeds on the premise that the input data is normal distribution. In this paper, we propose a transformation to normalize the emotional features, emotion recognition. Features based on prosody then derivate a Modified QDF （MQDF） to speech and voice quality are extracted and Principal Component Analysis Neural Network （PCANN） is used to reduce dimension of the feature vectors. The results show that voice quality features are effective supplement for recognition, and the method in this paper could improve the recognition ratio effectively.

Metaphor in expressing emotions

As a most generally accepted device of rhetorical purposes, metaphor or metaphorical language is thought to be the seasoning of language. While this paper presents some existing proof to illustrate far more use of metaphorical language and the functions of metaphor in English language.

Construction of unsupervised sentiment classifier on idioms resources

Sentiment analysis is the computational study of how opinions, attitudes, emotions, and perspectives are expressed in language, and has been the important task of natural language processing. Sentiment analysis is highly valuable for both research and practical applications. The focuses were put on the difficulties in the construction of sentiment classifiers which normally need tremendous labeled domain training data, and a novel unsupervised framework was proposed to make use of the Chinese idiom resources to develop a general sentiment classifier. Furthermore, the domain adaption of general sentiment classifier was improved by taking the general classifier as the base of a self-training procedure to get a domain self-training sentiment classifier. To validate the effect of the unsupervised framework, several experiments were carried out on publicly available Chinese online reviews dataset. The experiments show that the proposed framework is effective and achieves encouraging results. Specifically, the general classifier outperforms two baselines(a Na?ve 50% baseline and a cross-domain classifier), and the bootstrapping self-training classifier approximates the upper bound domain-specific classifier with the lowest accuracy of 81.5%, but the performance is more stable and the framework needs no labeled training dataset.

Understanding IT Artefacts with Language

Every day we experience relationships with artefacts, which describe material objects made by humans in order to reach a goal and exploit the human feature to plan ahead. Artefacts bring together cognitive evolution and technical enhancement. Although artefacts are conceived as technical, we are now facing a relationship with Information Technology （IT） artefacts. IT artefacts include both hardware and software, as a two-sided entity. The definition of IT artefact corresponds with the Saussurean linguistic sign： a two-sided entity constituted by the signifier （hardware） and the signified （software）. I claim that IT artefacts share this ontological trait with the linguistic sign. I will show that IT artefacts are the result of design and planning, while language--which is an institution--is not the fabrication of one human but linked to collective human activity.

Intergroup Evaluation as an Indicator of Emotional Elaboration of Collective Traumas in National Historical Narratives

In a longitudinal content analytical study, the authors explored intergroup evaluation patterns in Hungarian history school-book narratives about the so-called ＂Trianon Peace Treaty＂ in 1920 which had approved the detachment of 2/3 of Hungary＇s territory by victorious countries of the First World War. The event has meant a major national trauma that has not been elaborated to date. The study aimed to find evaluation patterns in temporally changing narrative constructions which were diagnostic to the process of emotional elaboration of the trauma. School-books released between 1920 and 2000 were included in the study, by a 10-year sampling method. Analysis was performed by NARRCAT （Narrative Categorial Content Analytical Tool）, a computerized tool for narrative psychological content analysis, which is capable for identifying complex linguistic structures of psychological relevance in large databases of narratives. Four different evaluation patterns emerged in the narratives which roughly correspond to four different historical eras in Hungary. Results show that the aggressor-victim relation between the former Entente powers and Hungary has remained a part of the narrative representation of the treaty, reflecting the identity state of collective victimhood.

A Study on Chinese English Leamers＇ Use of Emotion Words

Most educated Chinese take English as an important communication tool and the language has been increasingly frequently used in all walks of life in the country. This paper is to examine the use of English emotion words on the target group of English learners in China. The study is designed to find out the relationship between the use of emotion words and such relevant variables as language proficiency, gender, and age. The results demonstrate that the use of emotion words is significantly linked to the level of proficiency as well as gender. Age is found to have slight effect on the use of emotion words. The study also reveals that more positive emotion words are produced than negative ones in the speech. Based on the major findings, some implications and suggestions are offered： Firstly, English learners in China are expected to improve their language proficiency, particularly that of listening and speaking. Secondly, they are supposed to enhance their culture awareness of English by means of exposing themselves to as much authentic language as possible.

Gait Recorded by Smart Phone Can Reveal Your Emotion

So far,a lot of scientific studies have been carried out on nonverbal signals,which are considered as extrinsic expression of human’s intrapsychic state.Among them,emotion detection aims to automatically determine a person’s affective state,with immense potentials in many areas from health care,psychological detection to human-computer interaction.Traditional emotion detection is based on expressions,or linguistic and acoustic features in speech.However,

跑步对情绪调节机制的探讨

情绪调节对于人类的身心健康至关重要。近年来,越来越多的研究表明,跑步作为一种有氧运动,对情绪调节具有显著的积极影响。该文旨在通过综述现有的相关研究成果,探讨跑步对情绪调节机制的影响及其潜在的神经生物学基础。首先,将回顾跑步对情绪调节的直接效应。其次,将探讨跑步对情绪调节的中介效应,包括身体活动、社会交流和自我效能感等因素的影响。最后,将讨论跑步对情绪调节的神经生物学基础,包括调节神经递质释放,神经可塑性改变,调节神经内分泌系统。通过对跑步对情绪调节机制的深入探讨,可以更好地理解跑步对情绪健康的积极影响,并提供相关的指导和建议。

Emotions in Language Teaching: A Review of Studies on Teacher Emotions in Brazil

In this paper, we wish to respond to the call for expansion on our knowledge about teacher beliefs(Kubanyiova & Feryok, 2015) and discuss findings of studies on teacher emotions conducted in Brazil with both in-service and pre-service teachers of English. More specifically, we focus 1) on the kinds of emotions these teachers have reported feeling, and 2) on the relationship between beliefs and emotions. The results have shown: 1) the diversity of emotions teachers experience in their teacher education;and 2) how these emotions interact in dynamic and complex ways with their beliefs about teaching English in Brazil. The findings suggest that looking into the interrelationships between emotions and beliefs can shed light onto our understanding of the teachers’ thinking and practices in their contexts. Implications and questions for further research will be discussed in light of the studies reviewed.

Waning and Waxing of Love: Unpacking Layers of Teacher Emotion

In this study, we investigated how an English-as-medium-of-instruction mathematics teacher in China and an English teacher in Nepal fell into and out of love with the teaching profession. A theoretical framework of love, which drew from the theorization of love in Barcelos and Coelho(2016) and Lanas and Zembylas(2015), was adopted to provide guidance for our understanding of the construct and our interpretation of the data. In this framework, love is conceptualized as being communicated through teachers’ attending to individual students, and building a mutually supportive learning environment. In addition, love is also seen as socially and historically constructed. Our data include interviews, teaching materials, and other curricular artifacts. Our findings revealed that teachers’ love toward the profession sustains their investment in teaching, and their love of their students helps them accept the students on the latter’s own terms. In addition, a loving relationship between teachers and students was also instantiated in the mutual understanding and support between both parties during classroom interactions. Finally, we also demonstrate how our two focal teachers’ love of the profession was either enhanced or worn out due to work-related sociopolitical factors.