Harmonies and Emotion Expression in Piano Works – Based on sigh in piano works by Joe Hisaishi

Piano is a type of western musical instrument. Since its creation, people have been deeply attracted by its melodious sound and elegant temperament. In order to express emotions better with the piano, a lot of musicians and music amateurs have made joint efforts to create many piano playing skills, wherein harmony is a typical representative. Enjoying high fame in the world, Japanese animation has become one representative culture of this country. Success of Japanese animation is attributed to many factors. Except for real emotional expression as well as abundant and varied styles, the exquisite background music has played a dominant role. Joe Hisaishi is a Japanese pianist and composer enjoying the high reputation. He cooperates with Miyazaki Hayao –a Japanese cartoon master very tacitly. Close relations have been built between them based on the win-win goals. Application of sigh in Joe Hisaishi’s piano works can accurately express ideals and emotions of ？ gures, forming a unique style in his music works. The paper researches harmony application and expression of ideas and emotions in piano works based on application of sigh in Joe Hisa ishi’s works. In order to realize in-depth study, the paper also introduces the cartoonist Miyazaki Hayao who is closely related with Joe Hisaishi. Through combination of them, readers can understand the research more easily.

A Preliminary Discussion on Watercolor Creation and Emotional Expression of Female Themes in the 20th Century

The history of watercolor painting spans over three centuries,and the study of watercolor creations focusing on female themes have been a hot topic in the subfield of art studies.Watercolor originated in the Age of Exploration,initially serving as a practical tool for natural history,and later evolving into an art form for the aristocracy.In the 20th century,creations featuring female themes flourished and reached their peak.Compared to early works portraying female theses in mythology and religion,these paintings exhibit significant differences in expression,color,and texture,reflecting the gradual rise of women’s status and the artists’reflections on modern society.This article delves into the development,emotional expression,creation,and inspiration of watercolor paintings with female themes.By analyzing representative works,we explore the artists’portrayal of women and the reflection of women’s living conditions,social status,and ideological consciousness in contemporary society.This article also examines the profound influence and artistic value of these works on contemporary female-themed paintings from the perspective of art studies.

Exploration of the Expression of Color Emotion in Oil Painting Sketch Creation

This paper deeply analyzes the expression of color emotion in oil painting sketch creation.Starting with the three basic attributes of color theory(hue,lightness,and purity),this paper discusses its emotional symbolic significance and the relationship between contrast and harmony.By interpreting the works of artists such as Van Gogh’s Sunflower,Monet’s Rouen Cathedral,and Cézanne’s Mont Sainte-Victoire,this paper shows the unique charm of different colors in conveying emotions,creating atmosphere,and expressing themes.At the same time,it is expounded that in the creation of an oil painting sketch,the effective expression of color emotion can be realized by observing nature,using subjective colors,and reasonable composition and layout of colors,so as to enhance the artistic value of the works.

A Facial Expression Emotion Recognition Based Human-robot Interaction System

A facial expression emotion recognition based human-robot interaction(FEER-HRI) system is proposed, for which a four-layer system framework is designed. The FEERHRI system enables the robots not only to recognize human emotions, but also to generate facial expression for adapting to human emotions. A facial emotion recognition method based on2D-Gabor, uniform local binary pattern(LBP) operator, and multiclass extreme learning machine(ELM) classifier is presented,which is applied to real-time facial expression recognition for robots. Facial expressions of robots are represented by simple cartoon symbols and displayed by a LED screen equipped in the robots, which can be easily understood by human. Four scenarios,i.e., guiding, entertainment, home service and scene simulation are performed in the human-robot interaction experiment, in which smooth communication is realized by facial expression recognition of humans and facial expression generation of robots within 2 seconds. As a few prospective applications, the FEERHRI system can be applied in home service, smart home, safe driving, and so on.

Material Expression of Architectural Emotion From the Perspective of Public Art

Architectural emotion, to a large extent, is reflected in the emotionalization of building materials. The exploration of the vitality and spiritual connotation of the building materials is a new direction of expressing architectural feelings. This paper explores the visual features and connotation of various building materials from the perspective of public art, with a view to understanding the characteristics of building materials and creating unique buildings with a strong character.

Emotional Expression and Artistic Reconstruction in Musical Performance

The emotional expression brought by music is the self-realization and artistic reconstruction of the art of music in performance.From the perspective of the development of musical performance,artistic reconstruction is an important means of expression which does not only explores the emotional connotation of music but also endows music with stronger vitality through the performers'understanding and imagination,presenting them to the audience in a more three-dimensional way and stirring up deep resonance.Performers can also gradually develop their own style of performance.How to better integrate the interaction between the two is an important proposition in exploring musical performance.This paper focuses on the relationship between emotional expression and artistic reconstruction in addition to elaborating the important role of the two in musical performance to provide a useful reference for music creators and performers.

Processing Environmental Stimuli in Paranoid Schizophrenia:Recognizing Facial Emotions and Performing Executive Functions

Objective To study the contribution of executive function to abnormal recognition of facia expressions of emotion in schizophrenia patients. Methods Abnormal recognition of facial expressions of emotion was assayed according to Japanese and Caucasian facial expressions of emotion （JACFEE）, Wisconsin card sorting test {WCST）, positive and negative symptom scale, and Hamilton anxiety and depression scale, respectively, in 88 paranoid schizophrenia patients and 75 healthy volunteers. Results Patients scored higher on the Positive and Negative Symptom Scale and the Hamilton Anxiety and Depression Scales, displayed lower JACFEE recognition accuracies and poorer WCST performances. The JACFEE recognition accuracy of contempt and disgust was negatively correlated with the negative symptom scale score while the recognition accuracy of fear was positively with the positive symptom scale score and the recognition accuracy of surprise was negatively with the general psychopathology score in patients. Moreover, the WCST could predict the JACFEE recognition accuracy of contempt, disgust, and sadness in patients, and the perseverative errors negatively predicted the recognition accuracy of sadness in healthy volunteers. The JACFEE recognition accuracy of sadness could predict the WCST categories in paranoid schizophrenia patients. Conclusion Recognition accuracy of social-/moral emotions, such as contempt, disgust and sadness is related to the executive function in paranoid schizophrenia patients, especially when regarding sadness.

Neural activation while perceiving biological motion in dynamic facial expressions and point-light body action animations

BACKGROUND： The interpretation of non-verbal social signals relies heavily on the ability to perceive biological motion. The posterior superior temporal sulcus is an important part of a network involved in biological motion processing. However, the underlying functional organization remains poorly understood. Several studies have suggested topographical representation of motion from different body parts within this region. However, other studies have shown that the posterior superior temporal sulcus responds equally to any body part. OBJECTIVE： Through the use of functional magnetic resonance imaging, the effects of socially relevant biological motion stimuli to activate a specific cortical area within posterior superior temporal sulcus, even if different body parts are involved in motion, will be analyzed. DESIGN, TIME AND SETTING： A functional magnetic resonance imaging, block-design was performed at the Magnetic Resonance Imaging, Surgical Medical Investigation Center, Havana, Cuba between 2004 and 2005. PARTICIPANTS： Thirteen healthy volunteers, from 19 to 55 years of age and compris!ng eight males and five females, were included in the study. METHODS： A conjunction analysis of responses to natural, dynamic, fearful, facial expressions and point-light, body-motion animations. MAIN OUTCOME MEASURES： The corresponding functionally specialized areas, as well as neural areas significant for both types of stimuli, were identified. RESULTS： One region within the posterior superior temporal sulcus of the right hemisphere was equally activated by facial and body complex motion. CONCLUSION： A site of common neural activity existed within the posterior superior temporal sulcus, which was not specific to a biological motion type. In addition, the activity was not related to a topographically organized body-part map, which suggested high-level visual representation of biological motion in this region.

AB053.Oscillatory activity specific to peripheral emotional treatment induced by a visual steady state

Background:Research suggests that the analysis of facial expressions by a healthy brain would take place approximately 170 ms after the presentation of a facial expression in the superior temporal sulcus and the fusiform gyrus,mostly in the right hemisphere.Some researchers argue that a fast pathway through the amygdala would allow automatic and early emotional treatment around 90 ms after stimulation.This treatment would be done subconsciously,even before this stimulus is perceived and could be approximated by presenting the stimuli quickly on the periphery of the fovea.The present study aimed to identify the neural correlates of a peripheral and simultaneous presentation of emotional expressions through a frequency tagging paradigm.Methods:The presentation of emotional facial expressions at a specific frequency induces in the visual cortex a stable and precise response to the presentation frequency[i.e.,a steady-state visual evoked potential(ssVEP)]that can be used as a frequency tag(i.e.,a frequency-tag to follow the cortical treatment of this stimulus.Here,the use of different specific stimulation frequencies allowed us to label the different facial expressions presented simultaneously and to obtain a reliable cortical response being associated with(I)each of the emotions and(II)the different times of presentations repeated(1/0.170 ms=~5.8 Hz,1/0.090 ms=~10.8 Hz).To identify the regions involved in emotional discrimination,we subtracted the brain activity induced by the rapid presentation of six emotional expressions of the activity induced by the presentation of the same emotion(reduced by neural adaptation).The results were compared to the hemisphere in which attention was sought,emotion and frequency of stimulation.Results:The signal-to-noise ratio of the cerebral oscillations referring to the treatment of the expression of fear was stronger in the regions specific to the emotional treatment when they were presented in the subjects peripheral vision,unbeknownst to them.In addition,the peripheral emotional treatment of fear at 10.8 Hz was associated with greater activation within the Gamma 1 and 2 frequency bands in the expected regions(frontotemporal and T6),as well as desynchronization in the Alpha frequency bands for the temporal regions.This modulation of the spectral power is independent of the attentional request.Conclusions:These results suggest that the emotional stimulation of fear presented in the peripheral vision and outside the attentional framework elicit an increase in brain activity,especially in the temporal lobe.The localization of this activity as well as the optimal stimulation frequency found for this facial expression suggests that it is treated by the fast pathway of the magnocellular layers.

Spatial Narrative of the Film My People,My Country

The film My People,My Country tells seven stories of great historical significance that have occurred since New China’s founding 70 years ago.The film takes time as a clue and narrates the transformation of space.Based on the understanding of spatial narrative,this paper explores the spatial narration in the film from the perspectives of narrative space formation,narrative means,and spatial expression of emotion.

Design and Implementation of Weibo Sentiment Analysis Based on LDA and Dependency Parsing

Information content security is a branch of cyberspace security. How to effectively manage and use Weibo comment information has become a research focus in the field of information content security. Three main tasks involved are emotion sentence identification and classification,emotion tendency classification,and emotion expression extraction. Combining with the latent Dirichlet allocation(LDA) model,a Gibbs sampling implementation for inference of our algorithm is presented,and can be used to categorize emotion tendency automatically with the computer. In accordance with the lower ratio of recall for emotion expression extraction in Weibo,use dependency parsing,divided into two categories with subject and object,summarized six kinds of dependency models from evaluating objects and emotion words,and proposed that a merge algorithm for evaluating objects can be accurately evaluated by participating in a public bakeoff and in the shared tasks among the best methods in the sub-task of emotion expression extraction,indicating the value of our method as not only innovative but practical.

Autism-related protein MeCP2 regulates FGF13 expression and emotional behaviors

Methyl-CpG binding protein 2 （MeCP2） has a crucial role in transcriptional regulation and neural development （Ausi6 et al., 2014）. Loss of function mutations of MECP2 in human lead to Rett syndrome （RTT）, a severe neurodevelopmental disorders （Amir et al., 1999）, whereas individuals with the chromosomal duplications containing the MECP2 locus showed severe autism-like symptoms （Ramocki et al., 2009）.

Discussion about the Embodiment of the Language Thinking Differences in Chinese and English

The tradition and culture of a nation shape the national specific thinking pattern which will be inevitably reflected in its language.Based on the author's study and practice experience,the paper discusses the embodiment of the language thinking differences in Chinese and English from three aspects.First,this paper analyzes thinking differences caused by Chinese and western culture and then discusses thinking differences caused by different traditional philosophies in China and western world.Finally,the author puts forward that thinking differences between China and English will influence the emotional expression.

Humanoid robot heads for human-robot interaction:A review

The humanoid robot head plays an important role in the emotional expression of human-robot interaction(HRI).They are emerging in industrial manufacturing,business reception,entertainment,teaching assistance,and tour guides.In recent years,significant progress has been made in the field of humanoid robots.Nevertheless,there is still a lack of humanoid robots that can interact with humans naturally and comfortably.This review comprises a comprehensive survey of state-of-the-art technologies for humanoid robot heads over the last three decades,which covers the aspects of mechanical structures,actuators and sensors,anthropomorphic behavior control,emotional expression,and human-robot interaction.Finally,the current challenges and possible future directions are discussed.

From The Serenity Dwelling Collection to The Tea Smoke Pavilion Collection:ANew Discussion on the Guiding Principle behind Zhu Yizun's Object-Depicting Lyrics

The Lyric Collection on Objects of the Tea Smoke Pavilion is an anthology that Zhu Yizun compiled in his later years by carefully selecting object-depicting lyrics he composed throughout his life.Approximately 70 percent of the works were created before he participated in the imperial examination in 1679.This indicates that this anthology does not fully reflect the characteristics of the lyrics he penned in his later years.The collection title"Tea Smoke Pavilion,"as revealed in The Lyric Collection of the Serenity Dwelling,reflects the poet's distinctive approach to expressing emotions through depicting objects.A detailed examination of Zhu's works from the perspectives of textual structure,language,tone pattern and rhyming demonstrates that Zhu has consistently adhered to the same guiding principle when composing object-depicting lyrics.He has elevated the technique of“objectification,”pioneered by the poets of the Southern Song Dynasty to a new realm,crafting a unique beauty in object-depicting lyrics,which is different from the beauty of Song lyrics.His success is rooted in his emotional experiences depicted in The Serenity Dwelling Collection.His relentless exploration in artistic forms has provided a source of inspiration for scholars of later generations to explore how to convey personal sentiments.It also offers an opportunity to reflect on the merits and demerits regarding the development of object-depicting lyrics during the Qing Dynasty.

Physical activity and emotions in a period of social distancing due to the COVID-19 pandemic

Social distancing(SD)to prevent SARS-CoV-2(COVID-19)transmission reduced practices of physical activities(PA)and changed emotional conditions,but the relationship between PA and the emotions has to be further studied.This study aimed to analyze PA and the intensity of basic emotions during a period of social distancing in the State of S~ao Paulo,Brazil.Data collection was performed using the snowball system and an online survey with questions about the minimum weekly frequency of 30-min moderate and/or vigorous activities(MVPA),intensity of basic emotions,and sociodemographic profile.A total of 704 volunteers participated;mean age 38.113.4 years,67.9%female,82.0%insufficiently practiced MVPA,and 37.9%of the group reported no weekly PA.Anxiety/fear was the emotion with the highest intensity in the study period.A significant association was observed between PA and intensity of happiness(rho=0.125;p<0.01)and a negative association between PA practice and intensity of anxiety/fear(rho=-0.090;p<0.05),sadness(rho=-0.134;p<0.01),and anger(rho?0.109;p<0.01).Also,an association was observed between anxiety/fear and social isolation(rho=0.082;p<0.05).These results suggest that public policies offering PA programs and psychological care are required to improve the quality of life of the population.

Prediction of Academic Performance of Students in Online Live Classroom Interactions-An Analysis Using Natural Language Processing and Deep Learning Methods

Prior studies have shown the importance of classroom dialogue in academic performance,through which knowledge construction and social interaction among students take place.However,most of them were based on small scale or qualitative data,and few has explored the availability and potential of big data collected from online classrooms.To address this issue,this paper analyzes dialogues in live classrooms of a large online learning platform in China based on natural language processing techniques.The features of interactive types and emotional expression are extracted from classroom dialogues.We then develop neural network models based on these features to predict high-and low-academic performing students,and employ interpretable AI(artificial intelligence)techniques to determine the most important predictors in the prediction models.In both STEM(science,technology,engineering,mathematics)and non-STEM courses,it is found that high-performing students consistently exhibit more positive emotion,cognition and off-topic dialogues in all stages of the lesson than low-performing students.However,while the metacognitive dialogue illustrates its importance in non-STEM courses,this effect cannot be found in STEM courses.While high-performing students in non-STEM courses show negative emotion in the last stage of lessons,STEM students show positive emotion.