True Feelings Research Articles

Inferring social signals from the eyes in male schizophrenia.

Nonverbal communication habitually leaks out in ways that expose underlying thoughts, true feelings, and integrity of a counterpart. Social cognition is deficient in a wide range of mental disorders, including schizophrenia (SZ). Inferring social signals through the eyes is pivotal for social interaction but remains poorly investigated. The present work aims to fill this gap by examining whether and, if so, how reading language of the eyes is altered in SZ. We focused on male SZ, primarily because the disorder manifests a gender-specific profile. Patients and matched typically developing (TD) individuals were administered the Reading the Mind in the Eyes Test-Modified (RMET-M) and Emotions in Masked Faces (EMF) task that provide comparable visual information. The findings indicate that in SZ, the emotion recognition profile is similar to TD, with a more accurate recognition of some emotions such as fear, neutral expressions, and happiness than the others (sadness and disgust). In SZ, however, this profile is shifted down: all emotions are recognized less accurately than in TD. On the RMET-M, patients are also less precise, albeit they perform better on items with positive valence. In SZ only, recognition accuracy on both tasks is tightly linked to each other. The outcome reveals global challenges for males with SZ in inferring social information in the eyes and calls for remediation programs to shape social cognition. This work offers novel insights into the profiles of social cognitive deficits in mental disorders that differ in their gender prevalence.

A novel multi-model feature generation technique for suicide detection

Automated expert systems (AES) analyzing depression-related content on social media have piqued the interest of researchers. Depression, often linked to suicide, requires early prediction for potential life-saving interventions. In the conventional approach, psychologists conduct patient interviews or administer questionnaires to assess depression levels. However, this traditional method is plagued by limitations. Patients might not feel comfortable disclosing their true feelings to psychologists, and counselors may struggle to accurately predict situations due to limited data. In this context, social media emerges as a potentially valuable resource. Given the widespread use of social media in daily life, individuals often express their nature and mental state through their online posts. AES can efficiently analyze vast amounts of social media content to predict depression levels in individuals at an early stage. This study contributes to this endeavor by proposing an innovative approach for predicting suicide risks using social media content and machine learning techniques. A novel multi-model feature generation technique is employed to enhance the performance of machine learning models. This technique involves the use of a feature extraction method known as term frequency-inverse document frequency (TF-IDF), combined with two machine learning models: logistic regression (LR) and support vector machine (SVM). The proposed technique calculates probabilities for each sample in the dataset, resulting in a new feature set referred to as the probability-based feature set (ProBFS). This ProBFS is compact yet highly correlated with the target classes in the dataset. The utilization of concise and correlated features yields significant outcomes. The SVM model achieves an impressive accuracy score of 0.96 using ProBFS while maintaining a low computational time of 5.63 seconds even when dealing with extensive datasets. Furthermore, a comparison with state-of-the-art approaches is conducted to demonstrate the significance of the proposed method.

Psychosocial impact on individuals who received negative test results from predictive testing for Huntington's disease: Anexploratory qualitative study.

Huntington's disease (HD) is a neurodegenerative disease with autosomal dominant inheritance, and no radical cure for HD has been established. Qualitative studies are necessary to investigate the psychological state of individuals who underwent predictive testing for HD, because the psychosocial impact on noncarriers remains unclarified in Japan. Herein, we elucidated the psychosocial impact on the noncarriers for HD and the role of genetic counseling for predictive testing and follow-up after testing by examining their experiences with predictive testing. We conducted semi-structured interviews with eight individuals participating in this study. Interview data were transcribed verbatim and evaluated according to thematic analysis. As a result, 4 themes were generated from 21 categories of 46 codes: (1) Diversity of perceptions concerning the test results, (2) Views on life as a noncarrier, (3) Changes in feelings toward and relationships with family members, and (4) Sharing information within the family. After receiving the negative results, the noncarriers felt not only relief but also surprise, doubt, relief from tension, and regret. It was shown that noncarriers felt survivor's guilt toward many unspecified individuals, which was not only a sense of guilt but also a sense of mission or responsibility. Additionally, they conducted altruistic behavior as members of their family and society, that may be related to the Japanese collectivism. Some participants were concerned about sharing information with their siblings. Noncarriers for HD can experience complex psychological states, and Japanese people who prefer high-context communication may find it difficult to express their feelings and thoughts. It is important to understand their true feelings before and after the predictive genetic testing, reconsider the impact of being a noncarrier and whether it is a burden for them from both subjective and objective perspectives, and conduct long-term follow-up as needed.

Psychological Capital, Emotional Labour, and Burnout among Malaysian Workers

Burnout, characterized by emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment, is an occupational phenomenon now recognized by the World Health Organization. This study explores the interplay between psychological capital and emotional labour in contributing to burnout among workers in a Malaysian non-profit organization (NPO). Psychological capital encompasses positive psychological states such as self-efficacy, optimism, hope, and resilience. Emotional labour involves managing emotions to fulfil job roles, often requiring workers to present emotions that may not reflect their true feelings. The constant need to maintain these emotional displays can lead to emotional dissonance and burnout. Given Malaysia's demographic shifts towards an ageing population, the implications of burnout among NPO workers, who provide critical services to vulnerable groups, are significant. The high workload and emotional demands placed on these workers can result in chronic stress, emotional exhaustion, and a decrease in job performance and motivation. This study aims to fill the research gap by examining the specific factors that contribute to burnout in the Malaysian context, considering the unique cultural and social dynamics that may influence these relationships. The findings of this research can provide valuable insights for developing interventions to enhance psychological resilience and manage emotional labour more effectively among NPO workers. By addressing these challenges, organizations can support their workforce in maintaining high levels of service quality and personal well-being, which is crucial for the sustainability of NPOs and the well-being of the communities they serve.

Emotional labour: More of a burden than a benefit?

Hospitality workers, such as flight attendants and waiters, are expected to be courteous, friendly, and polite all the time. Training and managing their own feelings is part of the job. For many, people's true feelings differ from those shown to the outside world, thus prompting them to "put a mask on" throughout their working hours. This practice is called surface acting, which is as essential to this investigation as deep acting. In this context, this study's results were thought-provoking since a statistically significant positive correlation between deep acting and performance was found, while the surface acting–performance relationship was negative. These findings may serve as a warning signal for employers who are expected to keep their employees' mental well-being intact at work.

Hidden emotional trends on social media regarding the Thailand–China high-speed railway project: a deep learning approach with ChatGPT integration

Leveraging sentiment analysis on social media reveals hidden emotional trends by providing deep insights into the public’s collective opinions and feelings because social media can reflect most opinions based on true feelings. However, there is no time-series analysis of Thai opinions on social media regarding government projects in Thailand. Therefore, the focus of this research is to survey and dynamically analyze sentiment on social media platforms, particularly YouTube, regarding the Thailand–China High-Speed Rail Project (Thai–China HSR Project). This is a major project involving an investment of over 500 billion baht, a collaborative effort between the Thai and Chinese governments aimed at developing transportation infrastructure. It leads the public concerns of Thai people about the potential economic and social impacts. The deep learning (DL) technique was used for this analysis by the Bidirectional Encoder Representations from Transformers (BERT) model, together with WangchanBERTa, a Thai language model specifically designed to analyze opinions from Thai comments received from YouTube from July 2015 to January 2024. The analysis reveals that citizens’ sentiments are primarily neutral, with more negative than positive sentiments with the passing years. Results also indicate that the data volume has increased since 2019 and peaked in 2022. Negative comments peaked in January 2022, and based on our analysis, such negative comments followed news covering the opening of the China–Laos Railway on December 1, 2021. Video contents were related to the Thai–China HSR Project, which provides comparative reviews and analysis of government operations. Additionally, we explore the possibility of integrating AI technology based on the ChatGPT 4 model to support data interpretation. Although the AI model can interpret data quickly and efficiently serve as a convenient method for users, the results lack the in-depth analysis that should be done by experts in the field. The proposed framework could be useful to government agencies and can be used to quickly and efficiently survey and track public opinion. The results can be used for policy planning, strategic decision-making, and improving communications to better inform citizens about projects and operations, leading to the country’s sustainable economic and social development.

Emotion detection using EEG: hybrid classification approach

The field of emotion research facilitates the development of several applications, all of which aim to precisely and swiftly identify emotions. Speech and facial expressions are the main focus of typical emotion analysis, although they are not accurate indicators of true feelings. Signal analysis, namely the electroencephalograph (EEG) of the brain signals, is the other area in which emotions are analyzed. When compared to other modalities, EEG offers precise and comprehensive data that facilitates the estimation of emotional states. In order to categories the emotions using an EEG signal, this work suggests a hybrid classifier (HC). The input EEG data is preprocessed using the wiener filtering approach to extract the original information from the noisy signal. The preprocessed signal is used to extract features, such as entropy and a new hybrid model that includes models such as Bi-directional long short-term memory (Bi-LSTM) and improved recurrent neural networks (IRNN), which trains using the retrieved features, is included as part of the classification process. Happy, sad, calm, and angry are the categorization findings; the suggested work demonstrates more accurate classification results than the traditional approaches. All these are done on DEAP dataset with 60%, 70%, 80%, and 90% training sets and also a new DOSE dataset is been created similar to DEAP dataset.

Representasi Makna Keikhlasan Pada Series “ Layangan Putus ”

This research was conducted to analyze the representation of sincerity shown by women in the drama series "Layangan Putus." In addition to being a form of mass media that portrays the social life of the community, this series also includes cultural creations that bring important values to the audience, one of which is about marital life rumored with infidelity and how women, especially wives, demonstrate an attitude of sincerity. This study used a qualitative descriptive approach with the analysis of Roland Barthes' semiotics model. The focus of this research was to find the denotative, connotative, and myth meanings in 4 scenes that show the meaning of sincerity. The data collection techniques used were documentation, literature review, and observation. The results of the study show that the meaning of sincerity is demonstrated as an action that refers to social situations, parties harmed in the social structure take action against those who harm them. The attitude of sincerity occurs because of human behaviors that are not in line with their true feelings and conditions and harm others, including family, by surrendering what is considered best in the hope of getting something more deserving in the future. Sincerity is an attitude that women adopt to prove that not all problems need to be responded to and vented through emotions, but in this series, it highlights the sense of sincerity that has already occurred in her married life.

DL MODEL FOR IMITATION FALSE FACE, AGE, GENDER AND SCENARIO DISPARITIES

Scrutinises many methods that are employed by numerous scholars to identify Deep phoney films. We offer a method for spotting identity changes, such face swapping, in a single photograph. Deep Fake and other facial swapping methods alter the face region in an effort to replicate the appearance of the context while changing only the face. We show that the two regions differ as a result of this mode of operation. These variations raise red flags for manipulative activity. Our method makes use of a pair of networks: one for face identification, that takes into account face region included within accurate semantic segmentation & specifies gender and age, and another for context recognition, which takes into account face's surrounding context. Recognizing the Meaning of Emoticons, we provide a strategy which makes use of recognition signals from our 2 networks to pinpoint these deviations, so offering an enhanced, non-traditional detection signal. We propose a deep fake-detection method based on an organ-level transformer model for extracting deep fake characteristics. By giving less weight to identification of deformed or unclear organs, we give priority to detection of obvious and intact organs. Our system can also detect subtle alterations to facial expressions and details, as well as heavily tainted, digitally-generated phony images. So-called "micro expressions" are fast, fleeting facial changes. This kind of unrestrained display of emotion is a window into a person's true feelings. examined the seven most common micro expressions seen in human faces: happiness, sadness, anger, disgust, contempt, fear, & surprise.

Longitudinal qualitative study on the psychological experiences of COVID-19 patients based on timing it right framework

Timing it right framework was used as a framework to explore the illness experiences of patients infected with COVID-19 and to analyze the patients' perceptions of the disease and their true inner feelings to provide a reference for the control of infectious diseases. This research adopted a phenomenological research approach to develop a longitudinal qualitative study. A purposive sampling method was used to select participants and 37 patients were recruited. Depending on the principle that participants should have maximum variation and sampling should cease when interviews content saturation is achieved, 16 COVID-19 patients in an isolation ward in Ningbo City, Zhejiang Province were finally included. Data were collected using semi-structured interviews, and the content of the interviews was analyzed by Colaizzi’s 7-step method. The themes of COVID-19 patients’ experiences at various phase were presented as follows: multiple emotions intertwined at the time of diagnosis (anxiety, stressful panic, facing the diagnosis calmly), multiple pressures during the hospitalization period (concerns about the disease, unable to adapt to the ward environment, worrying about future hardship), growth of positive illness experience during the isolation and observation period (sublimated outlook on life, affirmation of the government's anti-epidemic policy, more concerned about their own health), adjustment after returning to society (stigma, loss of previous living environment, problems caused by nucleic acid testing), and adaptation to social life (return to normal life, avoidance of illness experience, post-covid-19 syndrome). The illness experience of COVID-19 patients changed dynamically with time, but a sense of shame and uncertainty about recovery was present throughout the process. Interventions should be developed according to the needs of the patients at different times to inform subsequent optimization of care and management of infectious diseases.

Evidence-based advances in minimally invasive surgery in infants with congenital gastrointestinal anomalies: a narrative review.

Minimally invasive surgery (MIS) has been widely utilized to manage congenital gastrointestinal (GI) anomalies in children during the last two decades. Currently, MIS has a proven track-record for its feasibility and provides multiple benefits including better cosmesis, less trauma, and faster recovery in neonates and infants. However, it remains controversial whether MIS provides better definitive outcomes in pediatric patients with GI anomalies, especially among neonates. We aim to review the recent developments of MIS in infants with GI defects, assisting surgeons in making decisions and improving patient outcomes. A comprehensive literature search of PubMed and Web of Science's core collection was performed using terms of MIS techniques and congenital GI anomalies. This review summarizes recent evidence-based advances of MIS in infants with congenital GI defects and potential future strategies based on evidence. Better cosmetic results, less postoperative pain, and an accelerated recovery have been shown to be common advantages of MIS relative to open approaches. Technical hurdles and metabolic disturbance were reported to be the main reasons for the decisions of open approach. Advanced techniques of MIS have made more precise manipulations and better outcomes possible, even for newborns. At the same time, surgeons should not be afraid to use an open approach in certain circumstances due to technical limitations or patient tolerance. The difficulty infants face in expressing their true feelings underscores the need for systematic and objective assessment tools to evaluate surgical outcomes.

Face Emotion Recognition Based on Machine Learning: A Review

Computers can now detect, understand, and evaluate emotions thanks to recent developments in machine learning and information fusion. Researchers across various sectors are increasingly intrigued by emotion identification, utilizing facial expressions, words, body language, and posture as means of discerning an individual's emotions. Nevertheless, the effectiveness of the first three methods may be limited, as individuals can consciously or unconsciously suppress their true feelings. This article explores various feature extraction techniques, encompassing the development of machine learning classifiers like k-nearest neighbour, naive Bayesian, support vector machine, and random forest, in accordance with the established standard for emotion recognition. The paper has three primary objectives: firstly, to offer a comprehensive overview of effective computing by outlining essential theoretical concepts; secondly, to describe in detail the state-of-the-art in emotion recognition at the moment; and thirdly, to highlight important findings and conclusions from the literature, with an emphasis on important obstacles and possible future paths, especially in the creation of state-of-the-art machine learning algorithms for the identification of emotions.

Empirical Analysis of Vocabulary Teaching in Middle Schools Based on Situational Language Teaching

With the continuous development of globalization, English has become one of the important languages of China and international communication, playing an important role in our life. English has always been the traditional main subject of education at all levels in China, whether primary school, middle school, high school and university, all occupy a pivotal position. And in middle school education, English performance can affect the situation of admission, and English is also a subject with a huge gap. Middle school is a key period to learn English. How should we learn English well? As we all know, the important condition for learning English well is vocabulary. Only by mastering vocabulary can we learn English well. Vocabulary is the basis of learning English well. However, from the current situation of junior high school students learning vocabulary, it is not optimistic, and students face many difficulties to master vocabulary. The main difficulties we have include: firstly, students, only have single memory method and insufficient memory s in vocabulary memory skills, which make them difficult to master the vocabulary. secondly, the traditional classroom teaching approach is single, boring and inefficient; thirdly, many teachers ignore thinking and interest cultivation, and students can only memorize words and phrases, difficult to use flexibly in life, so that students often lack interest in vocabulary, and will be afraid when they face with vocabulary. we can’t learn English well in such a situation. Now, it is a common challenge for teachers and students to change the situation at present. In order that students can better master vocabulary, for this reason, teachers can find more appropriate teaching methods to change the dilemma they face. With the further research on the theories of vocabulary teaching, we understand some relevant teaching approaches and theories gradually, such as situational language teaching (SLT). Due to introduction of SLT, it has played a great influence in China’s basic education and made great progress in China’s education. Although the current situational teaching method is often used in English teaching, it has not always been applied to vocabulary teaching. It is unclear whether SLT is suitable for vocabulary teaching and can improve the efficiency of vocabulary teaching and change the current situation. Therefore, this article studies whether SLT is applicable to English vocabulary teaching in middle schools and verifies whether it is effective. However, SLT through the data analysis of post-trial test and questionnaire is suitable and feasible. By creating a real situation, let the students experience the true feelings, and then master the vocabulary, improve the interest in learning, improve the classroom efficiency. By creating a real situation, let the students experience the true feelings, and then master the vocabulary, improve the interest in learning, improve the classroom efficiency.

FACTORS INFLUENCING THE BEHAVIOR OF CONSUMERS SWITCHING BETWEEN BRANDS AND THEIR PREFERENCES IN THE MOBILE PHONE MARKET IN CHENNAI

This study delves into the complex nature of brand preferences and brand switching behavior in the Chennai mobile phone industry. Researchers and marketers alike must keep up with the rapidly developing mobile technology industry by delving into the reasons why customers choose some companies over others. Combining quantitative surveys with qualitative interviews, the study adopts a mixed-methods technique to collect comprehensive insights. In order to identify trends and preferences in the process of switching brands, we polled a representative sample of Chennai's mobile phone customers. Also, customers' true feelings, thoughts, and reasons for being loyal or defecting can be better understood with the help of in-depth interviews. Brand dissatisfaction, perceived value for money, and peer recommendations are the main drivers of brand switching, according to key studies. Brand reputation, product characteristics, and after-sale service also play a big role in shaping consumer preferences. According to the findings, marketing methods, social influences, and individual experiences all work together to shape consumer choices. Key Words: Brand loyalty, customer happiness, customer perceptions, product attributes, brand reputation, satisfaction, value for money, marketing tactics, Chennai

Character analysis in Love in the Falling City -- combining and escaping from the restricted narrative perspective

With the continuous in-depth research on Zhang Ailing's feminist literature, great attention has been paid to the direction of her female characters. However, there is currently limited research in academic circles on the portrayal of male characters from a feminist literary perspective, and studies on the male characters in the book are often influenced by restrictive role-based perspectives. This paper analyzes the character image of the heroine Bai Liusu based on the original perspective of Zhang Ailing's Love in the Falling City, that is, the restricted narrative perspective, and combines different situations of female self, family, love and society to analyze, so as to understand how Bai Liusu escapes from the predicament of survival, how she is bound by tradition, and the differences between her and Fan Liuyuan's views on marriage. In addition, this paper analyzes the character image of the hero Fan Liuyuan from an objective perspective, finds out his true feelings for Bai Liusu from an objective perspective, and analyzes the rationality of his behavior in the article from an objective perspective. Through combining and breaking away from the restricted narrative perspective, the author find that their characters bring deeper meanings.

丙子胡亂과 玄洲 李昭漢의 『瀋館錄』

This study examined ｢Simgwanrok(瀋館錄)｣, which contains the works of Lee So-han(李昭漢, 1598~1645), when he was appointed as a Ububingaeg (右副賓客) and served at Simyanggwan(瀋陽館), focusing on the self- healing epic aspect.
 Due to the defeat of the Byeongja Manchu War[丙子胡亂], Joseon's Crown Prince Sohyeon(昭顯), Grand Prince Bongrim(鳳林), and the sons and attendants of high officials were held hostage in Simyang(瀋陽)'s Simyanggwan(瀋陽館), Jiljagwan(質子館), Dongguan(東館), Seoguan(西館), and Bukguan(北館) for about 9 years. Hyeonju(玄洲)'s ｢Simgwanrok(瀋館錄)｣ contains many works, especially poems written by Prince Bongrim(鳳林), nephew Lee Il-sang(李一相), eldest brother Lee Myeong- han(李明漢), and doctor Chae Deuk-gi(蔡得沂).
 Looking at the self-healing emotional aspect of ｢Simgwanrok(瀋館錄)｣, first of all, looking at the ‘self-perception of the original and the thoughts of the current couple’, it appears that as a Ububingaeg(右副賓客), he received a great blessing from Crown Prince Sohyeon(昭顯) and Grand Prince Bongrim(鳳林) and seemed to have recovered his normal daily life by reciting poetry. He also tried to overcome the worries of reality by being faithful to his public duties. However, behind the scenes, emotions such as ‘comfort’, ‘contempt’, and ‘hesitation’ are based, so we can see the feelings inherent in the reality that Hyeonju(玄洲) faces.
 Next, looking at ‘the harm of separation and the pain of separation’, Hyeonju(玄洲) expresses the sadness of parting with her nephew and eldest brother, the regret of not being able to meet his close friend, the pain of living in a foreign country, and the regret of parting with people he had shared joys and sorrows with. You can see the emotions. This seems to have played a role in healing and overcoming Hyeonju(玄洲)'s sadness by revealing the self-epic that Hyeonju(玄洲) directly experienced through a concrete epic of the work, acting like ‘catharsis’ or ‘free association’.
 Lastly, if we look at the ‘emotion between suppressed anger and blindness’, Hyeonju(玄洲) revealed his true feelings rather bluntly when he was relatively free from the Qing’s surveillance and censorship. Hyeonju(玄洲) longed for the day when he could take revenge and punish the Qing through young and talented people, or he expressed his disdain for the Qing by viewing it as a ‘Hyungnu(匈奴)’ or ‘Manmaek(蠻貊)’. He also expressed the idea that civilization and barbarism are distinguished depending on the ruling entity in river areas. It is understood that through this, he vented his feelings of hatred and disdain for the Qing Dynasty and released his deep-rooted feelings.

Historical Evolution and Cultural Identity of National Dance: Taking Andai Dance as the Research Object

The Andai Dance is a traditional folk dance that spreads in the Horqin area of Inner Mongolia. It has strong local and national characteristics, and the dance style is passionate and generous, fully expressing the true feelings of the Mongolian people. It is a form of expression of national folk art integrated with singing and dancing performance and music singing. This paper profoundly explores and studies the inheritance and development of Mongolian Andai Dance in Horqin Grassland, including the form and characteristics of traditional Andai Dance. Understand the evolution of the movement and function of Andai Dance, let the new Andai Dance inherit the most vivid musical and dance elements of the traditional Andai Dance, protect and inherit the traditional culture, and explore the new development trend of Andai Dance in professional creation, performance, and mass popularization.

CONCEPTUALIZATION OF THE LEXEME HEART IN THE NOVEL «HARRY POTTER AND THE GOBLET OF FIRE» BY J. K. ROWLING

Background. The article focuses on the analysis of the conceptualization of the lexeme heart in the English language based on a fantasy novel “Harry Potter and the Goblet of Fire” written by British author J. K. Rowling. Despite the fact that there are a lot of researches dedicated to the problem of concept and conceptualization the topic of investigation is still of crucial importance as the matter of concept is of great popularity these days. 
 The purpose of the research is to reveal the peculiarities of conceptualization of the lexeme heart in the novel «Harry Potter and the Goblet of Fire». The research has the following objectives: 1) to read the text to find all the cases of the lexeme heart being used either as a component of a phrase and collocation or as a part of other compound words; 2) to analyze each case carefully to define the peculiarities of conceptualization of the lexeme heart; 3) to reveal and list all the peculiar features of conceptualization of the lexeme heart in the novel «Harry Potter and the Goblet of Fire». 
 Methods. To reach the aim of the research the following methods have been chosen: the descriptive method, the comparative analysis, the constructive method, the cognitive analysis.
 Results. Due to the results of the investigation, 21 different lexical units with the lexeme heart have been found in the novel «Harry Potter and the Goblet of Fire» by J. K. Rowling. The singled out 21 lexical units have been grouped into four different categories: 13 phrases with the lexeme heart, 4 compounds, 2 derivatives and 2 collocations with the lexeme heart out of 21 lexical elements which have been counted while analyzing all the revealed cases.
 Discussion. Having analyzed all 21 lexical units with the lexeme heart, 14 peculiarities of conceptualization of the studied lexeme have been revealed: feeling of fear, center of something, change in opinion, feeling of worry and disappointment, feeling of excitement and joy, energy, memory, dedication, generosity and kindness, feeling of sadness, feeling of happiness, enthusiasm, someone’s true character, true and secret feelings

Особенности цветовой композиции китайской живописи и их учет в контексте подготовки студентов-художников

Painting of the Celestial Empire is a reflection of the wisdom of its people in art and characterizes the Chinese civilization as one of the most developed in the world of classical culture. The use of color in Chinese painting has been appreciated by artists for thousands of years. If artists use the visual and aesthetic psychological per-spective of color in their paintings, they can better reflect and express their true feelings, which greatly enhanc-es the artistic meaning and significance of their works, and meets the aesthetic requirements and sensory needs of modern people. Color composition is a way for artists to convey their ideas, emotions, moral and oth-er psychological feelings through color patterns and color combinations. At the same time, the use of color is subjective and emotional. In Chinese painting, artists tend to always focus on the atmosphere created by the tone of the painting, without the influence of the inherent color of the object itself. This paper will use the con-trast method to study color composition, allowing students to make full and reasonable use of the contrast be-tween the composition and color agreed upon so that the painting can enhance and emphasize the need for color effect. This paper attempts to study the basic.

‘To hold a mirror up to nature’. The Shakespearian image of the mirror in W. H. Auden’s poetic commentary <i>The Sea and the Mirror</i>

The metaphor of art as a mirror, uncharacteristic of Shakespeare’s Tempest, prompts the conclusion that, rather than referring to the play, Auden invokes the Romantic interpretation of its plot. The Romantics interpreted The Tempest as the playwright’s farewell and the epitome of his artistic endeavours. Romanticism is responsible for the popular thesis that The Tempest is a parable about an artist (Prospero), alone in this world (on an island), who rules over imagination (Ariel and lowly spirits) and keeps savage nature (Caliban) in check. In his poem, Auden deconstructs the parable of the powerful artist Prospero, invoking W. Knight’s allegorical method: Knight followed the tradition of the play’s allegorical interpretation. Auden does not set out to criticize Romanticism, but rather contemplates his own experience as a poet. In The Sea and the Mirror, his reimagining of poetic experience inspires the sections ‘Prospero to Ariel’ and ‘Caliban to the Audience.’ Auden concludes that art, not unlike a mirror, reveals experiences: by looking into it, we may realize our true feelings, yet the effect proves disappointing