“…In Study 2, Nikola produced the prototypical facial expressions for six basic emotions (anger, disgust, fear, happiness, sadness, and surprise), and naïve participants labeled photographs of the expressions. …”
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“…Grief reactions were evaluated in five different categories: normal grief response, initial shock reaction, denial, feeling guilty and anger. RESULTS: When the death was reported, 55.0% of the relatives accepted this situation as normal, 19.0% felt guilty and 14.0% showed an initial shock reaction. …”
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“…Very few interventions have systematically examined the role of moral reasoning, anger management and problem-solving together in violence. …”
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“…Such problems bring into focus “neglected negatives” that may be fueling current difficulties, including greed, indifference, and stupidity. Anger, which defies easy characterization as positive or negative, also warrants greater scientific study. …”
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“…The recognition rates of emotion recognition for 1,000 audios of anger, disgust, fear, happiness, sadness and surprise are: 97.3, 83.75, 64.87, 89.87, 84.12, and 86.68%, respectively.…”
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“…Results indicate a negative correlation between musical sophistication on the one hand and negative emotions (anxiety and anger) and loneliness on the other. This is reflected in less consistent academic performance, difficulties in identity development, and reduced motivation to face new challenges besides musical learning. …”
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“…The heart-mind (mon), mentality (manoshikota), mood (mejaj), head (matha or “brain”), and body (shorir) comprised the self-concept, and were related to sadness, hopelessness, anger, worry, and mental illness. The English word “tension” was the central idiom of distress. …”
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“…METHODS: We used Python to scrape MedHelp for threads that contained “blepharoplasty” and then used IBM Watson Natural Language Understanding to perform sentiment analyses, calculating a general sentiment score (−1 to +1) as well as emotion scores for anger, sadness, joy, fear, and disgust (0 to 1) for posts and keywords contained within the posts. …”
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“…Therefore, in this paper we introduce the SOBEM Database, a free tool consisting of 280 high-resolution pictures depicting objectified and non-objectified female models expressing a neutral face and three different emotions (happiness, anger, and sadness) with different intensity. We report the validation of this dataset by analyzing results of 134 participants judging pictures on the six basic emotions and on a range of social judgments related to sexual objectification. …”
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“…Conclusions: The physician-patient interaction elicited a range of negative experiences from the patient, including anger, anxiety, stress and fear. Patients were, nonetheless, able to identify clear expectations of their physician for both verbal and nonverbal communication which would be better received and result in improved patient adherence. …”
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“…Guided by the hypothesis that emotionality constitutes a basis of pre-reflective judgment, items relating to fear, anger and anguish were introduced in the survey. …”
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“…By fitting a hierarchical regression model on our data, we found support for a unique contribution of negative prototypes (β = 0.13) and opinions of vapers (β = 0.08) in predicting moralization, with significant contributions of piggybacking on moralized self-control, on moralized attitudes toward smoking and on sanctity/degradation, disgust, anger, harm to children, and gender. Together, these variables explained 56% of the variance of the moralization of anti-vaping attitudes. …”
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“…Findings highlight fear, frustration, anger, and the devastating impact that cholera had on families and communities, which was sometimes compounded by an inability to access life-saving medical care. …”
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“…I argue that Covid movement activists have built “archives of feeling”—or public cultures of trauma—of commemoration, Covid survivor narratives, and direct action that center affective feelings around grief, representation, and anger, respectively. I suggest that Covid‐19 will become a key lens for articulating structural and social inequalities through which broader social movements will leverage their claims for justice—moving towards an integrated social movement. …”
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“…CASE REPORT: A 30-year-old female patient was presented with hearing of voices, feeling that people are talking about her, someone was pulling her hair, visualizing people, irritability, anger outburst, sleep disturbance and headache since last 10 months. …”
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“…RESULTS: In the LDA, we selected the following 10 most common topics: anger, family troubles, collecting information on NSSI, stress, concerns regarding NSSI scarring, ways to help a non-suicidal self-injurious friend, depression, medical advice, ways to perform or stop NSSI, and prejudices and thoughts regarding non-suicidal self-injurious people. …”
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“…Our three main themes for perceived benefits of pets included social (e.g., reducing anxiety), physical (e.g., screen time companionship), and emotional (e.g., regulation of difficult emotions such as anger, loneliness). Challenges to adolescent well-being included such social topics as family tension around unevenly shared responsibilities, physical themes such as problematic animal behaviors, and emotional themes related to grieving the passing of pets. …”
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“…We also develop the system to classify five different emotions: sadness, happiness, neutral, disgust, and anger using different machine learning algorithms. …”
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“…In the present study, we induced anger in a group of participants characterized by musical sophistication and executive functioning. …”
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“…The model recognized emotions such as happiness, sadness, surprise, fear, anger, disgust, and neutrality. The performance of the model was evaluated using a variety of methodologies, including activation, optimization, and regularization, as well as other hyperparameters, as detailed in this study. …”
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