Emotional Indicators Research Articles

Alcohol and emotion: Analyzing convergence between facially expressed and self-reported indices of emotion under alcohol intoxication.

Emotion measurement is central to capturing acute alcohol reinforcement and so to informing models of alcohol use disorder etiology. Yet our understanding of how alcohol impacts emotion as assessed across diverse response modalities remains incomplete. The present study leverages a social alcohol-administration paradigm to assess drinking-related emotions, aiming to elucidate impacts of intoxication on self-reported versus behaviorally expressed emotion. Participants (N = 60; Mage = 22.5; 50% male; 55% White) attended two counterbalanced laboratory sessions, on one of which they were administered an alcoholic beverage (target blood alcohol content .08%) and on the other a nonalcoholic control beverage. Participants in both conditions were accurately informed of beverage contents and consumed study beverages in assigned groups of three while their behavior was videotaped. Emotion was assessed via self-report as well as continuous coding of facial muscle movements. The relationship between self-reported and behaviorally expressed emotion diverged significantly across beverage conditions: positive affect: b = -0.174, t = -2.36, p = .022; negative affect, b = 0.4319, t = 2.37, p = .021. Specifically, self-reports and behavioral displays converged among sober but not intoxicated participants. Further, alcohol's effects on positive facial displays remained significant in models controlling for self-reported positive and negative emotion, with alcohol enhancing Duchenne smiles 20% beyond effects captured via self-reports, pointing to unique effects of alcohol on behavioral indicators of positive emotion. Findings highlight effects of acute intoxication on the convergence and divergence of emotion measures, thus informing our understanding of measures for capturing emotions that are most proximal to drinking and thus most immediately reinforcing of alcohol consumption. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Implicit attitudes toward obesity-related cues and their relation to body mass index, psychosocial functioning, and health behavior.

Differences in automatic cognitive processes exist among individuals with overweight and obesity, thus there is a need to expand our conceptualization of overweight and obesity to emphasize the predictive utility of these automatic processes, rather than focusing solely on behavioral outputs. Implicit association tests (IATs) may afford a noninvasive method of examining automatic preferences that might contribute to overweight and obesity; namely, preferences for unhealthy foods and sedentary behavior versus healthy foods and physical activity. The purpose of the current study was to examine whether implicit attitudes toward foods and physical activity differed based on body mass index (BMI) status. The relationships between implicit attitudes and key psychosocial factors and health behaviors were also examined. Participants (N = 127) included undergraduate students with an average age of 19.05 years old (SD = 1.52). Average BMI of the sample was 24.20 (SD = 4.93); 33.8% met criteria for overweight or obesity. Participants completed an IAT and questionnaires. There were no differences in implicit preferences based on BMI or BMI status. Overall, the sample demonstrated implicit preferences for healthy foods and active words, and preferences were not linked to the corresponding behavioral outputs, though preferences were linked to various indices of emotion and emotion regulation. Future research should explore an extended model to examine how implicit preferences might impact intentions to engage in protective versus risky obesity-related health behaviors, and the various psychosocial factors that might impact the translation of those preferences and intentions in actual behavioral outputs. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Effects of musical tempo on human thermal comfort during interval exercise

Compared to steady-state exercise, thermal comfort during interval exercise varies. Moreover, research on the effects of musical tempo on subjective thermal perception, emotional state, and physiological responses in individuals performing interval exercise remains limited. Based on this, 22 participants were recruited for this study to simulate a gym environment within a climate chamber. The K5 metabolic analyzer combined with questionnaires was used to monitor the subjective responses and physiological parameters of participants during exercise, analyzing the effect of musical tempo on thermal comfort during interval exercise. Furthermore, by externalizing different tempos of music during the exercise phases of the experiment, participants' emotional states were induced to be either pleasant (positive) or boring (negative). The no-music working condition served as a control group for this experiment with no emotional induction. The research results indicate that music tempo affects the subjective thermal response, physiological response, and emotional state of the exercising population, with this influence showing clear differences and patterns. Notably, Regardless of the music tempo, the emotional index (MI) exhibited strong negative correlations with thermal sensation votes (TSV) (r = -0.76, -0.93), metabolic rate (MR) (r = -0.91, -0.95), and heart rate (HR) (r = -0.92, -0.94) across two exercise intensities. Based on these findings, a more adaptive PMV improvement model (PMV*) was developed using correlation analysis and regression fitting. This study provides important insights for the design of personalized exercise environments.

Emotions of Russians in 2014–2024

The article presents the results of analyzing data from the 2014–24 all-Russian public opinion polls on 16 emotions experienced personally and observed in others. The hierarchy and dynamics of mean values of positive and negative emotion indices were investigated. Changes in distinct emotions in 2020–24 were assessed using regression analysis. It has been found that pride and other self-esteem emotions are well expressed in the Russian emotional climate, both in self-reports and in responses about other peoples feelings. In 2014–22, national pride was inferior to collective resentment in the hierarchy of emotions; subsequently, the ratio reversed. In 2020–21, during the COVID-19 pandemic, there was a significant exacerbation of negative emotions, such as frustration, antagonistic feelings, and fatigue. Particularly significant was the increase in negativity observed by respondents in their social environment. Contrary to our expectations, the polling data for 2022–24 did not reflect a surge of negative emotions in connection with Russia’s military actions against Ukraine. Frustration levels rose briefly in the spring of 2022; new spikes weren’t recorded thereafter. Mentions of depression and antagonistic emotions have become significantly rarer in this period; positive emotions increased dramatically and began to dominate over negative ones. Psychological arousal is mainly related to the strengthening of collective self-esteem. Secondary trends indicate psychological and moral discomfort of a small part of Russians at this time. Survey data indicate an increased level of collective shame and confusion recognized in other people. One more feature is the reduced level of individual self-esteem.

Chronic pelvic pain syndrome in women of reproductive age: An observational cohort clinical ultrasound study

Background. The annual number of new cases of chronic pelvic pain syndrome in women of reproductive age is increasing worldwide. The high prevalence of this condition among the able-bodied female population leads to higher state expenditures on the treatment of this category of patients. New methods of diagnosis and early prophylaxis contribute to reducing economic burden associated with chronic pelvic pain syndrome in women and improving health of the female population as a fundamental demographic factor.Objectives. To determine somatic, obstetric-gynecological, anatomical, and psycho-emotional predictors of chronic pelvic pain syndrome.Methods. An observational cohort clinical and ultrasound study involved 60 patients of reproductive age. The study was conducted on the basis of the clinic for women, Voronezh City Outpatient Clinic No. 1 — clinical base of the Department of Obstetrics and Gynecology No. 2, Voronezh State Medical University named after N. N. Burdenko, Russia. According to clinical and laboratory data, the participants were divided into 2 groups. Group 1 (n = 30) included women of reproductive age without clinical manifestations of chronic pelvic pain syndrome; Group 2 (n = 30) enrolled women of reproductive age clinically diagnosed with chronic pelvic pain.Results. The mean age of the study participants in the main group comprised 27.4 ± 6.30 and 26.3 ± 7.25 years in the control group, p > 0.05. Diseases of gastrointestinal tract, endocrine, cardiovascular, musculoskeletal and urinary systems, as well as neurocirculatory and vegetative disorders prevailed in the structure of somatic pathology in the main group, p < 0.001. Analysis of obstetric and gynecologic anamnesis revealed no statistically significant differences in the incidence of gynecologic pathology in the study groups. However, according to the detailed analysis of the delivery history of the participants, 23 patients of the main group (76 %) and 3 patients (6.6 %) of the control group underwent episiotomy during labor, p < 0.001. The evaluation of the comparison groups in terms of pain component in myofascial syndrome involved the pain rating index, number of selected descriptors, sensory index of the selected descriptors, emotional index of the selected descriptors, and pain intensity. Statistically significant differences were revealed for all of the above indicators, thereby confirming a reliable picture of pathopsychological changes in the compared groups of women. The analysis of the ultrasound parameters of topographic and anatomical relationships demonstrated the relevant change in the following parameters: urethral length, diameter of the external urethral sphincter, angle between the external urethra and the body of the bladder, direct and transverse dimensions of the levator hiatus in the studied groups under the muscle tension.Conclusion. An issue of early diagnosis and prophylaxis of chronic pelvic pain syndrome in women of reproductive age remains urgent and requires interdisciplinary participation of medical specialists. The development of new approaches to ultrasound evaluation of pelvic floor will increase the effectiveness of therapeutic and prophylactic measures and reduce the economic burden of this nosology in the morbidity structure of the able-bodied female population.

The influence of two and three-dimensional spatial characteristics of industrial parks on the emotional well-being of employees: A case study of Shenzhen

Enhancing the emotions of the workers within industrial parks is crucial for achieving the sustainable development goal (SDG). However, evidence on the impact of industrial park environmental layouts on emotions is limited due to the low attention on the workers in the industrial park. Based on a framework of two-dimensional (2D) industrial park morphology indicators and three-dimensional (3D) spatial objective perception, this study aims to compare and analyze the effect of environmental characteristics in Shenzhen's industrial parks on workers' emotions by using emotional geography and social media data. The potential mechanism that environmental characteristic variables influence the positive emotion index (PEI) is also explored. Using the natural language processing (NLP) to analyze the Weibo check-in data, the study captures the daily emotions of workers in industrial parks. By adopting the linear and spatial regression models, this research reveals the complex relationship between the environmental layout of the total 425 industrial parks in Shenzhen city and the corresponding emotions of the workers. The conclusions are as follows: (1) There is a significant correlation between the environmental layout of the industrial parks and the emotions of the workers, with the correlation among 3D variables being higher than that among 2D variables considering spatial effects. (2) There is a certain degree of coordination and contradiction between the morphological indicators of the industrial parks and the spatial objective perception variables, necessitating the planners to consider both macro-scale and micro-perception environmental characteristics to enhance the workers' emotions. (3) In addition to higher accessibility and more public transportation options, the safer, wider, relatively more open streets, more perceivable green spaces, and richer street life can promote the positive emotions among the workers. On the contrary, the enclosed environments, the dense and overwhelming buildings, and the excessive road density may lead to negative emotions. This study contributes to establish the environmental layouts for the industrial parks that foster positive worker emotions and offer insights for the sustainable development of the industrial parks.

Back to school after COVID-19 pandemic: Resumption or transitional disruption?

Since its onset in 2020, the COVID-19 pandemic has globally disrupted school operations, leading to a shift to some form of homeschooling arrangements. After two years, in March 2022, the government of Malaysia officially reopened all schools, ending its homeschooling program. In this paper, we exploit a purposefully designed, nationwide, cross-sectional survey of government-owned primary and secondary schools in Malaysia to document student learning experiences during the early months of the home-to-school transition. Our empirical analysis and choice of indicators is guided by a conceptual framework that distinguishes between two competing hypotheses related to school reopening experiences: resumption vs transitional disruption. We find that 59 % of secondary and 72 % of primary level students report that they are happy to be back in school. School reopening also coincides with a significant reduction in educational-related worries (e.g., concerns over dropout, learning loss, and loss of interest in study) and indices of negative emotions (i.e., feelings of being tense, depressed, and restless), particularly among secondary school students. More importantly, those satisfied upon return to school report a statistically significant reduction in worries related to learning loss. These correlations support the resumption hypothesis. Yet our data highlights an important puzzle: Even after school reopening, one-third of students report that they do not learn more, at least one-fifth report a struggle to catch up on studies, and up to 40 % are concerned about learning loss. The majority of learners additionally report not receiving more support from teachers and parents. Recipients of public aid as well as private (i.e., parental) support report being happy about school reopening and are less likely to report “not learning more.” We conclude by discussing these somewhat paradoxical findings and the need for remedial measures beyond financial support for struggling learners to minimize post school reopening, transitional disruptions.

Enhancing Place Emotion Analysis with Multi-View Emotion Recognition from Geo-Tagged Photos: A Global Tourist Attraction Perspective

User−generated geo−tagged photos (UGPs) have emerged as a valuable tool for analyzing large−scale tourist place emotions with unprecedented detail. This process involves extracting and analyzing human emotions associated with specific locations. However, previous studies have been limited to analyzing individual faces in the UGPs. This approach falls short of representing the contextual scene characteristics, such as environmental elements and overall scene context, which may contain implicit emotional knowledge. To address this issue, we propose an innovative computational framework for global tourist place emotion analysis leveraging UGPs. Specifically, we first introduce a Multi−view Graph Fusion Network (M−GFN) to effectively recognize multi−view emotions from UGPs, considering crowd emotions and scene implicit sentiment. After that, we designed an attraction−specific emotion index (AEI) to quantitatively measure place emotions based on the identified multi−view emotions at various tourist attractions with place types. Complementing the AEI, we employ the emotion intensity index (EII) and Pearson correlation coefficient (PCC) to deepen the exploration of the association between attraction types and place emotions. The synergy of AEI, EII, and PCC allows comprehensive attraction−specific place emotion extraction, enhancing the overall quality of tourist place emotion analysis. Extensive experiments demonstrate that our framework enhances existing place emotion analysis methods, and the M−GFN outperforms state−of−the−art emotion recognition methods. Our framework can be adapted for various geo−emotion analysis tasks, like recognizing and regulating workplace emotions, underscoring the intrinsic link between emotions and geographic contexts.

Approaches to studying emotion using physiological responses to spoken narratives: A scoping review.

Narratives are effective tools for evoking emotions, and physiological measurements provide a means of objectively assessing emotional reactions - making them a potentially powerful pair of tools for studying emotional processes. However, extent research combining emotional narratives and physiological measurement varies widely in design and application, making it challenging to identify previous work, consolidate findings, and design effective experiments. Our scoping review explores the use of auditory emotional narratives and physiological measures in research, examining paradigms, study populations, and represented emotions. Following the PRISMA-ScR Checklist, we searched five databases for peer-reviewed experimental studies that used spoken narratives to induce emotion and reported autonomic physiological measures. Among 3466 titles screened and 653 articles reviewed, 110 studies were included. Our exploration revealed a variety of applications and experimental paradigms; emotional narratives paired with physiological measures have been used to study diverse topics and populations, including neurotypical and clinical groups. Although incomparable designs and sometimes contradictory results precluded general recommendations as regards which physiological measures to use when designing new studies, as a whole, the body of work suggests that these tools can be valuable to study emotions. Our review offers an overview of research employing narratives and physiological measures for emotion study, and highlights weaknesses in reporting practices and gaps in our knowledge concerning the robustness and specificity of physiological measures as indices of emotion. We discuss study design considerations and transparent reporting, to facilitate future using emotional narratives and physiological measures in studying emotions.

Predictive Value of the Huaxi Emotional Index in Assessing and Identifying High Suicide Risk Among Inpatients With Depression

This study aims to investigate the agreement between the Huaxi Emotional Index (HEI) and the Nurses' Global Assessment of Suicide Risk (NGASR) in assessing high suicide risk and to explore the predictive value of HEI in identifying high suicide risk among patients with depression. Convenience sampling was used and 386 inpatients with depression were included in this cross-sectional study. All patients were admitted to the Mental Health Center, West China Hospital between June and December 2023. The inclusion criteria were as follows, a diagnosis of depression according to the International Classification of Diseases, Tenth Revision (ICD-10), age over 18, and completion of both NGASR and HEI assessments. According to the exclusion criteria, depression patients who had other comorbid mental disorders or those who had severe cognitive impairments and were unable to communicate effectively were excluded. The study was approved by the Biomedical Ethics Review Committee of West China Hospital (Approval No. 647, 2021). Demographic data such as age, sex, ethnicity, marital status, and educational attainment were collected using a self-designed questionnaire. Both the HEI and NGASR were applied to evaluate the patients. We conducted statistical analyses with SPSS 27, employing Spearman's rank correlation for correlation analysis, Kappa tests for consistency between the two instruments, and receiver operating characteristic (ROC) curves for evaluating the predictive performance of HEI scores for high suicide risk, with the optimal HEI cutoff value determined on the basis of the Youden Index. The study included 386 depression inpatients with an average age of 32 years and an average length-of-stay of 14 days. Of these participants, 252 were female (65.3%) and 134 were male (34.7%). Regarding ethnicity, most of the participants were Han Chinese (89.4%), Tibetans accounted for 7.3%, and other minorities, 3.3%. Regarding marital status, 51.3% of the participants were married, 41.2% single, 6.5% divorced, and 1.0% widowed. Regarding educational attainment, 26.2% had an undergraduate or graduate education, 20.7% had junior college education, 24.8% had high school or secondary technical school education, and 28.2% had middle school education or less. The NGASR identified 57.3% of the participants as being at high suicide risk, while the HEI identified 53.6% as having severe emotional distress. There was a moderate agreement between the HEI and the NGASR scores, with a Kappa value of 0.518 ( P<0.001), indicating statistically significant differences. At an HEI score of 17, the Youden Index peaked at 0.52, predicting high suicide risk with a specificity of 76.36%, a sensitivity of 76.02%, and an area under the ROC curve of 0.829 (95% CI: 0.787-0.871), demonstrating statistically significant differences. HEI and NGASR demonstrate moderate agreement in assessing high suicide risk among depression patients. The HEI questionnaire effectively predicts high suicide risk in patients with depression, with 17 being the optimal cutoff value for assessing high suicide risk.

How Are You Feeling Today? Dynamic and Static Indices of Daily Affect Predict Psychological Adjustment One Year Later in a Multi-cohort, Longitudinal Investigation

BackgroundDominant psychotherapies target how individuals experience and understand their daily emotion. Therefore, research examining how daily emotions influence long-term mental health outcomes may help inform treatment development.MethodsThis investigation applied a multi-cohort (n = 378; n = 460), longitudinal design to test how reports of daily emotion predict psychological symptoms, loneliness, and wellbeing one-year later. Dynamic indices (polarity, inertia) reflecting “how” emotional experiences are conceptualized moment-to-moment and static indices (person-mean, standard deviation) of emotion were extracted from 10 daily reports. Each index was modelled individually, in concert with others, and in relation to a key dispositional factor in symptom development: trait anxiety.ResultsDynamic indices predicted outcomes one-year later, but only the effect of positive emotional inertia remained significant after accounting for mean intensity of affect. Daily reports of emotion also predicted small but significant variance in outcomes beyond trait anxiety.ConclusionsResults highlight the role of daily subjective experiences of emotion in long-term mental health outcomes and reinforce their importance as targets for treatment.

A content analysis of cognitive, emotional, and social development in popular kids’ YouTube

With the explosive growth in time spent on YouTube by babies and toddlers, it’s important to analyze what they’re watching on YouTube. Indexes that evaluate the contents of YouTube channels for infants and toddlers have been developed, but since those were evaluation-based indexes of educators and parents, it is difficult to find out what content children are watching. In this study, the YouTube content that infants mainly watch was content analyzed in three developmental areas: cognition, emotion, and socialization. Specifically, language destruction was analyzed for the cognitive field, verbal and physical violence for the emotional field, and emotional expression, understanding others’ emotions, emotional control, antisocial and prosocial behavior representation, and prosocial expression were analyzed for the socialization. As a result, the emotional index was the highest, and the physical violence index was very low. In general, emotional expression, understanding of others’ emotions, and prosocial behavior, which had a positive effect on early childhood development, were higher than linguistic destruction, verbal violence, and physical violence, which had a negative effect.

Negative emotions disrupt intentional synchronization during group sensorimotor interaction.

Emotions play a fundamental role in human interactions and trigger responses in physiological, psychological, and behavioral modalities. Interpersonal coordination often entails attunement between individuals in various modalities. Previous research has elucidated the mechanisms of interpersonal synchronization and the emotions aroused by joint action: cardiac activity aligns in disputing marital couples, spectators share enjoyment in observing live dance performances, and joint finger-tapping evokes positive emotions. However, little is known about the impact of emotions on intentional interpersonal synchronization. To address this problem, we conducted an experiment in 2022 asking 60 participants to engage in a three-way finger-tapping synchronization task. We systematically induced emotional states (positive, neutral, and negative) with social comparison feedback using success-failure manipulations. An analysis of behavior synchronization using the Kuramoto order parameter revealed that negative emotion induction significantly diminished time spent in synchrony compared to positive induction. Moreover, the results exposed incremental struggles in attaining higher levels of synchronization (Q2-Q3) after the induction of negative emotions. These outcomes further substantiate the necessity of integrating the indices of agents' emotions into interpersonal synchronization and coordination models. We discuss the implications of this work for research on interpersonal emotion in joint action and applied outcomes in emotion-aware technologies and interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Dispositional hope, psychological flexibility, and psychological distress: Psychometric properties of the Personalized Psychological Flexibility Index among Turkish adults.

The present study examined the psychometric properties of the Personalized Psychological Flexibility Index (PPFI) in a Turkish adult community sample, which consisted of 837 people (65% female) aged between 18 and 68 (Mage = 29.93, SD = 13.21). Exploratory factor analysis yielded a three-factor structure corresponding to acceptance, avoidance, and harnessing, in accordance with the original PPFI. Confirmatory factor analysis showed that the three-factor model outperformed the one-factor model and showed a good model fit. The Turkish adaptation of the PPFI and its subscales exhibited high internal consistency, convergent validity with dispositional hope, and distress endurance in expected directions. Notably, the Turkish adaptation of the PPFI also showed excellent divergent validity from indices of negative emotionality. This study has offered additional support for the construct validity of the Turkish adaptation of the PPFI by investigating the relationship between psychological flexibility, dispositional hope, and psychological distress. Psychological flexibility emerged as a mediator between dispositional hope and psychological distress, and potential explanations were discussed. The present study offers evidence of the reliability and validity of the PPFI and its potential applicability in the Turkish adult population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Субъективное благополучие преподавателей в современных условиях: эмоционально-личностные и метакогнитивные предикторы

&lt;p&gt;This study aims to comprehensively explore the emotional, personal, and metacognitive predictors of the psychological well-being of teachers. The article presents the results of identifying personality traits, features of the emotional sphere and regulation of emotions, as well as features of metacognition that can influence well-being of teachers in modern conditions. To measure these characteristics, the following methods were used: a short portrait questionnaire of the Big Five; methodology &amp;ldquo;Differential Scale of Emotions&amp;rdquo;; methodology for diagnosing the subjective well-being of the individual; Metacognitive Awareness Inventory; test &amp;ldquo;Differential Type of Reflection&amp;rdquo;; Cognitive Emotion Regulation Questionnaire and the author's self-assessment questionnaire of metacognitive behavior &amp;ldquo;Metacognitive Skills in the Structure of Educational and Professional Activities&amp;rdquo;. Study sample: 106 people aged 20 to 75 years (average age 45,85) &amp;ndash; teachers, lecturers, heads of departments of higher educational institutions and colleges. It is shown that the higher levels of metacognitive involvement correspond to the higher levels of subjective well-being. A high index of positive emotions, higher levels of trait conscientiousness and conscious use of metacognitive skills, positive revision and acceptance strategies, and lower acute negative emotions index also have a positive effect. The results described can be helpful in preventative and therapeutic work with the symptoms of professional burnout of teachers.&lt;/p&gt;

Effects of different intervention methods on psychological anxiety, stress, and fatigue among healthcare workers during COVID-19 pandemic: a systematic review and meta-analysis.

This study aimed to explore the treatment effects of various intervention methods on the stress, anxiety, and fatigue of medical workers during the 2019 Coronavirus Disease (COVID-19) pandemic. We conducted computer searches in both Chinese and English databases including China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform (Wang Fang), VIP Chinese Journal Service Platform (VIP), Web of Science, Embase, PubMed, Cochrane Library, Scopus, and ScienceDirect to include prospective randomized controlled studies (Prospective RCT) published before September 30, 2023, regarding different treatment methods for stress, anxiety, and fatigue among healthcare workers during COVID-19. Data on anxiety, stress, and fatigue of research participants were extracted from the included studies, followed by statistical analysis of treatment effects using R software with the meta package. A total of 9 articles were eventually included, involving a total of 1,466 participants, including 686 in the control group and 780 in the study group. Intervention measures included mindfulness-based therapy in 4 studies and other intervention methods in 5. The anxiety status of the health workers was assessed using the Generalized Anxiety Disorder-7 (GAD-7), and the meta-analysis revealed a pooled mean difference (MD) of -0.53 (95% CI: -1.42, 0.37). Stress status was evaluated by Perceived Stress Scale 4 (PSS-4), and the meta-analysis results showed a post-treatment MD of 0.13 (95% CI: -0.39, 0.65), with a pre- and post-treatment difference MD of -0.44 (95% CI: -2.65, 1.76). Maslach Burnout Inventory (MBI) was employed for the evaluation of fatigue. The meta-analysis results showed an MD of -6.13 (95% CI: -16.68, 4.43) for the MBI Emotional index, an MD of 5.04 (95% CI: -3.25, 13.33) for the Personal Accomplishment index, and an MD of -1.68 (95% CI: -6.50, 3.13) for the Depersonalization index. Maintaining the mental health of frontline health workers is crucial during the COVID-19 pandemic, and mindfulness-based therapy is the most extensively employed psychological intervention method. However, its effectiveness requires further research confirmation.

Assessment of quality of life, job insecurity and work ability among nurses, working either under temporary or permanent terms.

Aim of this study was to assess and compare health, quality of life, well-being, job satisfaction and job insecurity between nurses, in a tertiary hospital in Greece, working either under permanent or temporary contract. In this cross-sectional study, consecutively recruited nurses answered a structured questionnaire, the WHO-5 Well-being Index (WHO-5), the Job Insecurity Index (JII), the Work Ability Index (WAI), and the Well-Being at Work Scale (WBWS). Included were 323 nurses (87.6% women, age M±SD 43.68±8.10 years). Tem- porary contract employees had worse quality of life (p = 0.009) and higher job insecurity: both in cognitive dimension (p = 0.013) and emotional dimension (p < 0.001). They also scored worse in the positive affect (p < 0.001), negative affect (p = 0.002) and fulfillment of expectations in work environment (p < 0.001) domains of the WBWS. Additionally, they reported less frequently occupational accidents and injuries (p = 0.001), muscu - loskeletal disorders of the spine or neck (p = 0.007), cardiovascular (p = 0.017), and gastrointestinal (p = 0.010) disorders, while they reported more frequently mental disorders (p < 0.001). Multivariate linear regression analysis showed that temporary work predicted high cognitive (p = 0.010) and emotional (p < 0.001) insecurity, low positive emotions and mood index (p = 0.007), low achievement-fulfillment index (p = 0.047) and high index of negative emotions (p = 0.006), regardless of gender and age. Temporary employment among nurses is associated with a lower sense of job security and well-being, and a higher prevalence of mental disorders, independently of age or gender without a significantly negative effect on their ability to work. Managers, as well as occupational physicians, should recognize the extent of nurses' job insecurity and assess their ability to work, to provide them with the necessary support and to stimulate the sense of occupational security and work capacity, so that they can thrive in their workplace and therefore be more productive and provide high quality healthcare. Int J Occup Med Environ Health. 2024;37(1):98-109.

Exploring the association between the built environment and positive sentiments of tourists in traditional villages in Fuzhou, China

Promoting positive emotional experiences for tourists is crucial for sustaining development in rural areas. However, existing research has limited focus on the rural built environment, particularly in developing a framework to evaluate environmental sentiment on a small to medium scale with detailed indicators. This study addresses this gap by examining the impact of the rural built environment on tourists' emotions. Natural Language Processing (NLP) technologies are employed to analyze web text data and determine the average sentiment index for traditional villages in Fuzhou, China. Additionally, data on the built environment were acquired through the HRnet segmentation model and Matlab. To assess the association between environmental indicators and the sentiment index, we used eXtreme Gradient Boosting (XGBoost), the SHapley Additive exPlanation (SHAP) model, and ArcMap software. The study demonstrated that (1) the spatial distribution of the average sentiment index was significant. Houfu Village (9.91), Qianhu Village (9.88), and Ximen Village (9.75) had the highest scores, while Doukui Village (−0.85), Jiji Village (0.2), and Qiaodong Village (0.55) had the lowest. (2) The indicators that have the most significant impact on sentiment are Openness, Greenness, and Color Complexity, with a contribution value above 0.7—followed by Enclosure, Visual Entropy, and Ground Exposure, with a contribution between 0.5 and 0.7. Furthermore, analyzing the interaction mechanism of the indicators showed a non-linear relationship. The environmental characteristics associated with high emotional index scores are openness in the range of 0.2 to 0.5, greenness in the range of 0.4 to 0.6, and color complexity in the range of 0.3 to 0.5. This study provides observations pertinent to the sustainable development of traditional village environments. The findings contribute to an understanding of how these environmental elements might be effectively designed to improve tourists' sentiment in rural settings.

Explicit metrics for implicit emotions: investigating physiological and gaze indices of learner emotions.

Learning experiences are intertwined with emotions, which in turn have a significant effect on learning outcomes. Therefore, digital learning environments can benefit from taking the emotional state of the learner into account. To do so, the first step is real-time emotion detection which is made possible by sensors that can continuously collect physiological and eye-tracking data. In this paper, we aimed to find features derived from skin conductance, skin temperature, and eye movements that could be used as indicators of learner emotions. Forty-four university students completed different math related tasks during which sensor data and self-reported data on the learner's emotional state were collected. Results indicate that skin conductance response peak count, tonic skin conductance, fixation count, duration and dispersion, saccade count, duration and amplitude, and blink count and duration may be used to distinguish between different emotions. These features may be used to make learning environments more emotionally aware.

Exploring deep learning frameworks for multi-track music synthesis

Abstract It has been found that the existing methods for generating multi-track music fail to meet the market requirements in terms of melody, rhythm and harmony, and most of the generated music does not conform to the basic music theory knowledge. This paper proposes a multi-track music synthesis model that uses the improved WGAN-GP and is guided by music theory rules to generate music works with high musicality to solve the problems mentioned above. Through the improvement of the adversarial loss function and the introduction of the self-attention mechanism, the improved WGANGP is obtained, which is applied to multi-track music synthesis, and both subjective and objective aspects evaluate the performance of the model. The score of multi-track music synthesized by this paper’s model is 8.22, higher than that of real human works, which is 8.04, and the average scores of the four indexes of rhythm, melody, emotion, and harmony are 8.15, 8.27, 7.61, and 8.22, respectively, which are higher than that of the three models of MuseGAN, MTMG, and HRNN, except for the emotion index. The data processing accuracy and error rate of this paper’s model, as well as the training loss value and track matching, are 94.47%, 0.15%, 0.91, and 0.84, respectively, which are better than WGANGP and MuseGAN. The gap between synthesized multi-track music and the music theory rules of real music using the model in this paper is very small, which can fully meet practical needs. The deep learning model constructed in this paper provides a new path for the generation of multi-track music.