Acoustic features of instrumental movie soundtracks elicit distinct and mostly non-overlapping extra-musical meanings in the mind of the listener by Karleigh Groves, Morwaread Mary Farbood, Brandon Carone, Pablo Ripollés, Arianna Zuanazzi

“…We conducted a study wherein participants (N = 121) listened to twenty 15-second-long excerpts of polyphonic instrumental soundtrack music and reported (i) perceived emotions (e.g., happiness, sadness) as well as (ii) movie scene properties imagined during listening (e.g., scene brightness, character role). …”
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Assessment of Hospital Anxiety and Depression Scale in Emergency Department in Iraq by Hanan N Najaf, Rusul F Hasan, Nidhal H Hammod, Samer A Hasan

“… Depression is a serious medical condition that affects a person’s feelings, thought, and how to behaves. It causes sadness, hopelessness, and helplessness, interfering with daily activities (1). …”
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The emotions of Chinese netizens toward the opening-up policies for COVID-19: panic, trust, and acceptance by Qiong Dang, Yifei Li, Suping Chen

“…The study found that the proportions of emotions were as follows: Good (46%), Happy (11%), Anger (17%), Disgust (6%), Sadness (10%), Surprise (2%), and Fear (8%). Through topic analysis, the following main themes were identified: medical resource shortages, healthcare workers, national policies, and COVID-19 sequelae. …”
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EEG-Based Emotion Classification for Verifying the Korean Emotional Movie Clips with Support Vector Machine (SVM) by Guiyoung Son, Yaeri Kim

“…First, we recorded EEG signals, collected from 28 subjects, to investigate the brain activity across brain areas while watching movie clips by five emotions (anger, excitement, fear, sadness, and happiness) and a neutral state. We analyzed EEG raw signals to investigate the emotion-related brain area and select suitable emotion-related channels using spectral power across frequency bands, i.e., alpha and beta bands. …”
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Breaking the Silence: Exploring Peritraumatic Distress and Negative Emotions in Male and Female Physical Domestic Violence Victims by Pasquale Caponnetto, Vittorio Lenzo, Alberto Sardella, Graziella Chiara Prezzavento, Mirko Casu, Maria C. Quattropani

“… # Results Female victims of domestic violence had significantly higher scores on the Peritraumatic Distress Inventory than male victims and experienced significantly higher levels of negative emotions than male victims, including impotence/inability to react, sadness, anger/frustration, loss of control, fear, guilt, and shame. …”
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Degraded Impairment of Emotion Recognition in Parkinson’s Disease Extends from Negative to Positive Emotions by Chia-Yao Lin, Yi-Min Tien, Jong-Tsun Huang, Chon-Haw Tsai, Li-Chuan Hsu

“…In Experiment  1, PD patients demonstrated a recognition deficit for negative (sadness and anger) and positive faces. Further analysis showed that only PD patients with high motor dysfunction performed poorly in recognition of happy faces. …”
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Realistic Facial Expression of Virtual Human Based on Color, Sweat, and Tears Effects by Mohammed Hazim Alkawaz, Ahmad Hoirul Basori, Dzulkifli Mohamad, Farhan Mohamed

“…The action units (AUs) of facial action coding system are merged with autonomous AUs to create expressions including sadness, anger with blushing, happiness with blushing, and fear. …”
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The Psychological Impact of Divorce on Children in Manado City, North Sulawesi by Ardianto Ardianto, Edi Gunawan, Nasruddin Yusuf, Munir Tubagus

“…Emotional conflicts also arise in children who are victims of divorce, such as feelings of guilt, anger, sadness, and prolonged anxiety. These psychological impacts are then reflected in various aspects of the child's life, including a decline in academic performance, lack of motivation to study, and deviant behaviors such as drug use or engaging in promiscuous activities. …”
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Social Representations of Overweight and Obesity in Schoolchild in the State of Mexico by Verónica Arreola Ríos, Donovan Casas Patiño

“…<br /><strong>Results:</strong> the diet is focused on what schoolchildren can eat and what their primary caregivers who determine the diet can buy; a very high degree of stigmatization is shown at the school and social level, there is a decrease in certain consumption of foods - high in calories and fashionable -, it conditions emotional sensations such as: sadness, anger and fear, physical activity is found during school breaks, which brings them happiness and by not achieving this at home, causes them discomfort. …”
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Effects of Parents’ Smartphone Use on Children’s Emotions, Behavior, and Subjective Well-Being by Matea Bodrožić Selak, Marina Merkaš, Ana Žulec Ivanković

“…The results showed that more frequent parents’ smartphone use is associated with more frequent children’s experiences of anger and sadness in situations when parents use smartphones while with children, which is linked to lower children’s well-being. …”
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How Color Properties Can Be Used to Elicit Emotions in Video Games by Erik Geslin, Laurent Jégou, Danny Beaudoin

“…Our results show a significant correlation between luminance, saturation, lightness, and the emotions of joy, sadness, fear, and serenity experienced by participants viewing 24 video game images. …”
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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

“…Seven different emotions related to facial expressions were classified in this context; these are listed as happiness, sadness, surprise, disgust, anger, fear and neutral. …”
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Real-Time Facial Expression Recognition Based on Image Processing in Virtual Reality by Qingzhen Gong, Xuefang Liu, Yongqiang Ma

“…Thus, a Deep Learning (DL) solution combined with image processing is utilized to classify universal emotions: sadness, happiness, disgust, anger, fear and surprise. …”
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Integrative model for disclosing the diagnosis to children and adolescents with HIV in San Luis Potosí by Rubén Romero Ortiz, Ismael García Cedillo, Rocío Angélica González-Romo

“…<br /><strong>Results:</strong> In the post-assessment, it was found that adolescents were able to express emotions of anger and sadness, strengthened their support networks, decreased their anxiety level, and increased their knowledge about HIV/AIDS. …”
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Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions by Haneen Reda Banjar, Lujain Alsefri, Aseel Alshomrani, Morouj Hamdhy, Sara Alahmari, Sanaa Sharaf

“…The emotion recognition model is trained and tested using the SEED-IV dataset, ensuring compatibility with consumer EEG headbands and accurate detection of complex emotions like sadness and fear. Thorough static and dynamic testing has validated the app’s design and operational efficacy, confirming its preparedness for practical use. …”
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A RESEARCH ON SOCIAL MEDIA ADDICTION AND DOPAMINE DRIVEN FEEDBACK by Gamze Macit, Hüseyin Bilal Macit, Orhan Güngör

“…Throughout their lives, people have established social relationships with a limited number of people, sharing their sadness and happiness with them. The great technological developments coming up to date and began with the invention of the transistor in the mid-20th century allowed the technological communication tools to enter through our pockets and caused great changes in the way of communication of the societies. …”
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Develop an emotion recognition system using jointly connectivity between electroencephalogram and electrocardiogram signals by Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani

“…We propose a novel method of estimating effective connectivity (EC) to capture the dynamic interplay between the heart and brain during emotions of happiness, disgust, fear, and sadness. Leveraging three EC estimation techniques (Granger causality (GC), partial directed coherence (PDC) and directed transfer function (DTF)), we feed the resulting EC representations as inputs into convolutional neural networks (CNNs), namely ResNet-18 and MobileNetV2, known for their swift and superior performance. …”
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Specific Dysphoric Symptoms Are Predicted by Early Maladaptive Schemas by Roberta Trincas, Cristina Ottaviani, Alessandro Couyoumdjian, Katia Tenore, Grazia Spitoni, Francesco Mancini

“…When controlling for gender and current levels of depression, specific symptoms were predicted by different EMSs: sadness by Negativity/Pessimism; anhedonia by Failure; self-harm by Emotional Deprivation and Vulnerability to Harm or Illness; worthlessness by Failure and Negativity/Pessimism; psychomotor retardation/restlessness by Vulnerability to Harm or Illness and Entitlement/Grandiosity; and poor concentration by Insufficient Self-Control/Self-Discipline. …”
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Using Generative Adversarial Networks for the synthesis of emotional facial expressions in virtual educational environments by William Villegas-Ch, Alexandra Maldonado Navarro, Araceli Mera-Navarrete

“…However, one of the main challenges remains the accurate transmission of complex and negative emotions, such as anger or sadness, due to the difficulty of correctly capturing the facial micro gestures that characterize these emotions. …”
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Lithuanian Conceptual Colour–Emotion Associations in the Global Context of 37 Nations by Domicelė Jonauskaitė

“…Lithuanians had many associations, the most frequent being red–love, yellow–amusement, yellow–joy, and black–sadness (all endorsed by > 60% of participants). While Lithuanians associated more emotions with colours than the other participants, the Lithuanian pattern of these associations was highly similar to the global pattern (r = .92). …”
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