Emotional Quality Research Articles

Застосування системи тестового опитування на основі кластерного аналізу та машинного навчання в задачах профвідбору фахівців

The research aims to develop a test survey for the effective selection of specialists in the field of IT, utilizing modern machine learning methods, particularly cluster analysis with the k-means algorithm. Due to limited access to existing testing platforms, which are typically available only to large companies on a paid basis, a decision was made to create an alternative web application. This application will serve as an accessible tool for a wider range of users and will automate the evaluation of candidates' qualifications. The study involves designing a test survey specifically for recruiters in the IT field. Currently, similar tests are provided by the government but are usually accessible to companies only through subscriptions. To address this limitation, the alternative service—a web application—was proposed. The web application will leverage machine learning techniques, specifically the k-means clustering algorithm, to analyze user test results. A key feature of this research is the application of cluster analysis to group users based on their professional skills, cognitive abilities, and psychological characteristics. In addition to the k-means algorithm, other clustering methods such as hierarchical clustering and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) were considered and tested to ensure robustness in grouping users. The combination of these methods enables both partitioning the data into clusters with predefined numbers of groups (via k-means) and identifying clusters with varying densities and shapes (via DBSCAN). Meanwhile, hierarchical clustering provides insights into relationships between data points at different levels of granularity. This approach allows for a more accurate assessment of candidates' suitability for employers’ requirements and facilitates better data organization for further analysis. The study highlights the importance of cluster analysis in situations where there is no prior hypothesis about the data structure, making it a versatile tool for data classification. Beyond the technical aspects, the research explores the potential of using adaptive tests that adjust the difficulty level in real-time based on the user’s responses. This enhances the accuracy of the assessment and minimizes the influence of subjective factors during the selection process. Furthermore, the study examines the potential for analyzing candidates’ behavioral and emotional characteristics, such as stress tolerance and communication skills, which are crucial for effective teamwork. The research confirmed the hypothesis that the testing challenge can be addressed by creating a web application capable of analyzing users' responses and providing detailed results. Based on these results, participants can evaluate their professional suitability for the IT field. Future developments may include the addition of new test categories and features if the system demonstrates its scalability and adaptability.

Project Management and Communication Applications in Organizations: Matching Applications to Specific Requirements and Industries, Including Emotional Management, Learning Curve and Strategic Time Planning

The study examines the distinct functionalities and applications of project management tools to determine their suitability for various industries and organizational needs. While existing comparative analyses often overlook key differences, this research fills the gap by evaluating 13 popular tools, selected based on frequency of mention in the literature. The analysis considers criteria such as communication methods, project hierarchy, ease of use, integration capabilities, support for methodologies (Agile, Scrum, Gantt), emotional management functionalities, and sector-specific applications. Key findings reveal significant differences among tools: Older tools like Microsoft Project cater to large teams and complex projects but have steep learning curves and higher costs. Newer tools such as ClickUp and Notion are more user-friendly, flexible, and preferred by smaller teams and startups. Methodologies vary, with Agile-supporting tools like Jira and Wrike, and Waterfall-focused ones like Smartsheet and Microsoft Project. Emotional management features, such as mood tracking, are often added via plugins (e.g., Slack, Jira). Tool preference depends on team size, industry, and project complexity. For instance, Trello and KanbanFlow are ideal for small teams, while Wrike and Asana excel in larger, more complex environments. Despite apparent similarities, the tools are complementary, with each serving distinct user groups. The study concludes that the best choice depends on specific organizational needs and work styles.

Correlation of the Radiographic Grading of Knee Osteoarthritis With Physical Function but Not Emotional Quality of Life Scores.

Background Multiple studies have shown that symptoms of knee osteoarthritis (OA) weakly correlate with the radiographic severity of the disease. Our objective was to determine possible correlations between the radiographic severity of kneeOA andclinical manifestations such as disability, pain scores, and emotional health. Methods A retrospective review of registry data of 305 patients with knee OA was collected. The Kellgren-Lawrence and Ahlbäck classifications of radiographic knee OA were computed. These were correlated with the severity of functional limitations measured using the 36-Item Short-Form Health Survey (SF-36), Knee Society Score (KSS), and Oxford Knee Score (OKS). Statistical analysis was conducted with IBM SPSS Statistics for Windows, Version 22.0 (Released 2013; IBM Corp., Armonk, New York, United States). A p-value of 0.05 or less was considered statistically significant. Results There were no differences in BMI, gender, or operative site between all grades. There were significant differences in KSS Function scores between grade 2/3 patients and grade 4 patients. There were significant differences in OKS and SF-36 Physical Function between grade 2 and grade 4 patients. When comparing the loss of joint space with the functional scores, there were no statistically significant correlations. Conclusion Our study shows that increased radiological severity of knee OA was associated with increased limitation in the ability of patients to carry out their usual physical function. However, there was no significant correlation between radiological findings and non-tangible domains such as mental health, social functioning, and emotional role functions.

중재연구를 통한 경계선 지능 아동의 학습 변인 연구

The purpose of this study is to analyze the learning variables of borderline intelligent children and suggest educational support plans. From January 2000 to September 2024, research topics, subjects, and learning variables were analyzed for literature related to borderline intelligent learners' learning, intervention, and education. What was attempted as an intervention study can be summarized as understanding language, strengthening computational power, and strengthening learning power. A learning support method and a plan to expand learner participation were presented in consideration of the main characteristics of borderline intelligent children, such as cognitive, social, and emotional characteristics. It was proposed to develop education systems and programs suitable for borderline intelligent learners through research. Future research is expected to include experimental studies that assess the outcomes of the educational support proposed for these learners.

CONSUMER ATTITUDE TOWARDS DIGITAL BANKING SERVICES (CASE OF GEORGIA)

Objective: The main purpose of the research is to study the attitudes of consumers towards the use of digital technologies in Georgia's banking sector. Theoretical Framework: The paper is based on the theory of consumer behavior, which reflects the impact of respondents' cognitive, emotional and behavioral characteristics on their satisfaction. Method: The questionnaire survey method was used for the study. Data were collected through random sampling of consumers. Correlation and regression analysis methods are used to process the collected data. Results and Discussion: The reliability of the research analysis was confirmed, and the main factors identified were awareness, perceived ease of use, trust, and social media marketing activities, which positively influence the intention to use digital banking, which has a positive effect on satisfaction and digital bank services using. Research Implications: This article provides theoretical guidance on the characteristics of digital banking services and the main factors influencing their use by consumers. The study has practical application for commercial banks operating in Georgia, which can adapt this model in a real environment. The mentioned model will help banks, using digital banking services, to increase customer satisfaction and improve existing applications/digital products. Originality/Value: This study is original, which contributes to the development of literature in the field of banking marketing. The value of this study lies in the fact that it will contribute to the improvement of service quality in the banking sector and the increase in customer satisfaction.

Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry.

Schizophrenia, a highly complex psychiatric disorder, presents significant challenges in diagnosis and treatment due to its multifaceted neurobiological underpinnings. Recent advancements in functional magnetic resonance imaging (fMRI) and artificial intelligence (AI) have revolutionized the understanding and management of this condition. This manuscript explores how the integration of these technologies has unveiled key insights into schizophrenia's structural and functional neural anomalies. fMRI research highlights disruptions in crucial brain regions like the prefrontal cortex and hippocampus, alongside impaired connectivity within networks such as the default mode network (DMN). These alterations correlate with the cognitive deficits and emotional dysregulation characteristic of schizophrenia. AI techniques, including machine learning (ML) and deep learning (DL), have enhanced the detection and analysis of these complex patterns, surpassing traditional methods in precision. Algorithms such as support vector machines (SVMs) and Vision Transformers (ViTs) have proven particularly effective in identifying biomarkers and aiding early diagnosis. Despite these advancements, challenges such as variability in methodologies and the disorder's heterogeneity persist, necessitating large-scale, collaborative studies for clinical translation. Moreover, ethical considerations surrounding data integrity, algorithmic transparency, and patient individuality must guide AI's integration into psychiatry. Looking ahead, AI-augmented fMRI holds promise for tailoring personalized interventions, addressing unique neural dysfunctions, and improving therapeutic outcomes for individuals with schizophrenia. This convergence of neuroimaging and computational innovation heralds a transformative era in precision psychiatry.

THEORY OF "ATMOSPHERIC AESTHETICS" IN THE ENVIRONMENTAL DESIGN OF TRADITIONAL CHINESE VILLAGES

Purpose of this study is to identify ways to apply the theory of atmospheric aesthetics in the design of traditional rural landscapes to enhance the visual and experiential appeal of rural areas. Today, the theory of "atmospheric aesthetics" is recognized as a foundation for revitalizing rural environments within the ecological design framework and is widely discussed in academic circles in China and around the World. Methodology. The research utilized literature analysis, inductive reasoning, case studies, and factor analysis of environmental design. Results. Based on the analysis of the practical application of the theory of "atmospheric aesthetics" in rural design, techniques to improve the aesthetic perception of traditional villages are demonstrated. The main advantages of using this theory in the design of traditional villages have been identified, such as: enhanced aesthetic experience; promotion of cultural heritage; improved quality of life; resolution of environmental crises. The practical application of the theory of "atmospheric aesthetics" helps create a unique artistic atmosphere and emotional resonance, making rural landscapes more attractive and strengthening the sense of identity and belonging among residents. Emphasis on preserving traditional cultural elements, such as ancient architecture and streets, contributes to the continuity of cultural heritage and the sustainable development of rural areas. Scientific novelty. Theoretical and practical approaches to rural environment design based on the theory of "atmospheric aesthetics" have been further developed. Extensive evaluations of the effectiveness of using this theory in rural design were conducted during field studies and surveys in various locations. This innovative theory enriched methods of studying environmental aesthetics, offering scientific support for rural revitalization strategies and innovative designs. Practical significance. The practical significance of the obtained results lies in their potential application by designers in the design of traditional Chinese village environments, where an aesthetically comfortable and attractive environment for both local residents and tourists is created based on the identification of emotional and sensory qualities of the surroundings.

Valuation of Emotionality and Osgood Factors in Fiction Prose using Machine-Generated Dictionaries (On the Material of the Strugatsky Brothers Trilogy about M. Kammerer)

The relevance of the work lies in the fact that Osgood factors and emotive characteristics of the text can be extrapolated from the russian fiction prose, as the most adequate type of author's and reader's expression, to the assessment of moods in society in a specifically given period. To analyse them, we need deep-learning neural networks capable of assessing positivity and other factors taking into account the context - with the help of dictionaries based on the survey of informants and machine extrapolation. From a methodological point of view, we used a dictionary with positivity ratings for russian language words CartaSlovSent, as well as data from multilingual NRC VAD, Hedonometer dictionaries to identify categories of valence, dominance and arousal in texts. To construct a series of average text positivity, all word forms contained in the selected dictionary were found and the values of their positivity ratings were averaged. The results of the study showed that in the Strugatsky brothers' trilogy about Maxim Kammerer, "The Inhabited Island" with the corresponding descriptive negative narrative related to the image of the planet Saraksh is the most indicative for positivity ratings. At the same time, throughout the trilogy, Osgood factors are spread throughout the text according to the development of plot and compositional elements. "The Beetle in the Anthill" and "Waves Extinguish the Wind" are similar in the degree of expression of Osgood factors, including due to a similar dominant chronotope.

Galdan Boshugtu Khan: Leadership Style & Emotional Intelligence

Galdan Boshugtu Khan, the prominent political and military figure of Mongolia left a sizeable mark not only on the history of Mongolia, but Central Asian political and cultural history. The primary goal of this research work was attempted to identify the historical character Galdan Boshugtu Khan in terms of his leadership styles and emotional intelligence (EI). Totally 35 descriptive examples from the novel ‘Galdan Boshugtu Khan, written by Tsembel.D in 2014, were collected within the concepts of Daniel Coleman’s leadership styles as Visionary, Coaching, Affiliate, Democratic, Pacesetting and Commanding. The data were analyzed using qualitative methods of categorization and content analysis of the historical character to interpret the leadership and emotional characteristics. The leadership skills and emotional capacity of Galdan Boshugtu Khan were attributed in correlation analysis as well. The research results were stated with descriptive method focusing on interpreting the Khan’s leadership style and his emotional intelligence. As a result of the study, Galdan Boshugtu Khan was identified as a leader with an ability to recognize and control himself in different situations, and optimistic person as an individual. In terms of his social communication, Galdan Boshugtu Khan was skillful to understand others, to form teams, and to persuade others. In the point of the character pattern, it is viewed that Galdan Boshugtu Khan was a historical figure with visionary, affiliate and coaching styles. The findings of the research were supported by the theory of personality and leadership.

Enhancing Stock Market Prediction with Sentiment Analysis Using a BERT-based Model

This study explores the prediction of stock price trends in the financial market, emphasizing the impact of investor sentiment and macroeconomic policies. Traditional research often uses mathematical, statistical, or deep learning methods to predict stock prices but overlooks the emotional factors in vast unstructured text data, such as financial news. This paper proposes a Bidirectional Encoder Representations from Transformers (BERT)-Transformer model that integrates sentiment analysis to enhance stock market prediction. Using financial news text data from the Oriental Fortune Network, the BERT model performs sentiment analysis to extract emotional polarity features. These features, combined with stock transaction data, are then input into a Transformer model to predict the index trends. The experimental results demonstrate a 60% accuracy in predicting stock indices' rise and fall, indicating the model's effectiveness while highlighting areas for improvement. The methodology details dataset preprocessing, the BERT- Back Propagation (BP) model structure, and how sentiment classification is combined with stock trading data for predictions. Performance comparisons with other prediction models confirm the benefits of incorporating sentiment analysis. The BERT-Transformer model’s long-term memory capabilities make it a promising tool for financial time series predictions, offering new research ideas and methods for the financial field. Future research will aim to automate the sentiment feature labeling process to save time and improve efficiency.

Supportive care and information needs in relation to quality of life among patients with breast cancer and gynaecological cancer during the time of treatment.

Although therapy and psychosocial care for patients with breast cancer and gynaecological cancer has improved in the last years, there are still many issues that require further investigation. Unmet supportive care needs can lead to a lower adherence to treatment and a lower quality of life. Patients' needs seem to be highest during the time of treatment. Thus, this study investigated needs and quality of life. In this German prospective study, we enrolled 292 patients with breast cancer and gynaecological cancer during the time of treatment. Data on needs were assessed using instruments that had proven feasible in earlier studies. Data on quality of life (QoL) were assessed using the European Organization for Research and Treatment of Cancer QoL Core Questionnaire (EORTC QLQ-C30). We investigated correlations between needs and sociodemographic data as well as quality of life. Among all cancer entities we observed that 150 patients (51.5%) showed unmet information needs, 221 patients (75.7%) showed at least one high supportive care need, and 91 patients (31.2%) had psychological care needs. Data showed statistically significant correlations between these needs and sociodemographic data as well as quality of life. These correlations generally showed small to medium effect sizes. Older women showed less supportive care needs (r = -0.24; p < 0.001), (r = -0.15; p = 0.010). Furthermore, recruitment after surgery was associated with statistically significant higher information needs (r = 0.14; p = 0.015), whereas recruitment during chemotherapy was associated with statistically significant less information needs (r = -0.15; p = 0.013). Positive correlations were shown for the level of received information and physical functioning (r = 0.12; p = 0.047), social functioning (r = 0.16; p = 0.009) and global quality of life (r = 0.19, p = 0.002) as well as satisfaction with information and physical (r = 0.16; p = 0.006), social (r = 0.24; p < 0.001), cognitive functioning (r = 0.14; p = 0.017) as well as global quality of life (r = 0.25; p < 0.001). Negative correlations were reported for information needs and emotional functioning (r = -0.12; p = 0.035) and global quality of life (r = -0.15; p = 0.011). Supportive care needs also correlated negatively with physical (r = -0.23; p < 0.001), role (r = -0.23; p < 0.001), emotional (r = -0.35; p < 0.001), cognitive (r = -0.24; p < 0.001), social functioning (r = -0.30; p < 0.001), and global quality of life (r = -0.35; p < 0.001). Also, patients with at least one high supportive care need correlated negatively with role (r = -0.15; p = 0.014), emotional (r = -0.23; p < 0.001), social functioning (r = -0.30; p = 0.001), and global quality of life (r = -0.35; p < 0.001). There was no statistical significance concerning cancer side. Thus, both groups are reported together. Furthermore, there was no statistical significance concerning disease status. Overall, this study highlights the importance of tailored information and supportive care interventions. Addressing these needs, particularly in terms of information provision and psychosocial support, could lead to improved quality of life and better overall patient outcomes.

Вплив тривалого вживання етанолу ad libitum на емоційну поведінку щурів з різним рівнем алкогольної мотивації

Experimental studies of behavioral disorders due to the consumption of psychoactive substances through their realistic modeling by laboratory animals is becoming more and more relevant against the background of the inevitable psychogenic imperative associated with the war in Ukraine. In this aspect, emotional behavior is the resulting factor that generalizes and accompanies the mechanisms of psycho-emotional disorders, which are considered the most common mental diseases in the world. Under conditions of ethanol consumption ad libitum, with the use of ethological observation methods, we studied the character of the emotional response of non-linear white rats of young reproductive age in unusual stressful situations of the “elevated plus-maze”, “dark-light chamber” and “ tail fixation”. The aim was to study the effect of long-term alcoholization on the level of anxiety and tendency to depressivelike behavior in animals, depending on the severity of alcohol motivation according to the ethanol preference index and the average daily individual dose of its consumption. As a result of a complex analysis of the behavior of rats with different levels of alcohol motivation under the conditions of free access to ethanol, it was found that there is no significant modulation of emotional activity. This indicates its stability or inertia, which, combined with improved cognitive functions, often negatively impacted by the neurotoxic effects of ethanol, and an increase in grooming behavior as a correlate of adaptive/compensatory manifestation of emotional stress, highlights the importance of considering age-related emotional and behavioral characteristics in the development of alcohol dependence mechanisms.

Worry and rumination elicit similar neural representations: neuroimaging evidence for repetitive negative thinking.

Repetitive negative thinking (RNT) captures shared cognitive and emotional features of content-specific cognition, including future-focused worry and past-focused rumination. The degree to which these distinct but related processes recruit overlapping neural structures is undetermined, because most neuroscientific studies only examine worry or rumination in isolation. To address this, we developed a paradigm to elicit idiographic worries and ruminations during an fMRI scan in 39 young adults with a range of trait RNT scores. We measured concurrent emotion ratings and heart rate as a physiological metric of arousal. Multivariate representational similarity analysis revealed that regions distributed across default mode, salience, and frontoparietal control networks encode worry and rumination similarly. Moreover, heart rate did not differ between worry and rumination. Capturing the shared neural features between worry and rumination throughout networks supporting self-referential processing, memory, salience detection, and cognitive control provides novel empirical evidence to bolster cognitive and clinical models of RNT.

Prestiż nazw obiektów handlowych i usługowych

THE PRESTIGE OF THE NAMES OF TRADING AND SERVICE POINTS The paper presents the names of trading and service points, such as salon (hairdresser’s salon), instytut (cosmetic institute), galeria (trade gallery), centrum (sports centre), which have been replacing older names like zakład (zakład fryzjerski), dom (dom towarowy) or ośrodek (ośrodek sportu). These new words, created as a result of neosemantisation, seem to be better because of their higher prestige. The term prestige has been used, so far, to describe people, institutions and jobs, however, in this article, it will be related to words. The aim of this paper was to find semantic and pragmatic components which indicate prestige of lexemes constituting the names of trading and service points. They are: emotional character of words, their territorial extent and relation to objects which are generally respected, because they refer to important values and higher-level needs. Choosing more prestigious names for trading and service points makes their position higher. It also increases the respect of jobs which are not prestigious.

Comparative Analysis of the Physical, Tactical, Emotional, and Mood Characteristics of Under-13 Soccer Players by Performance Level.

Background and Objectives: Soccer is a sport characterized by various unpredictable situations in which physical abilities are associated with athletic performance. There are several capabilities that young soccer players must develop to adapt to the needs of the competition. This study analyzes the physical characteristics, tactical knowledge, emotional intelligence, and mood states of youth soccer players at different competitive levels. Materials and Methods: The sample consisted of 36 male soccer players with an average age of 12.65 ± 0.48 years, weight of 44.92 ± 7.49 kg, and height of 157.2 ± 0.08 cm. A cross-sectional correlational study design was selected. Inferential analysis was conducted via the RV coefficient to assess relationships between groups. Two-sample tests (Student's t test or the Mann-Whitney U test) were used to assess the distribution of the samples. Standardized mean differences (i.e., Cohen's d) were calculated as effect sizes. Results: For the yo-yo intermittent endurance test level 1, the Premier category showed higher speed (p = 0.01, d = 0.40) and superior estimated VO2max (p = 0.01, d = -0.91). The statistically significant variables included the hamstring strength exercise of the hamstrings for the angle of rupture (p = 0.04, d = -0.04, d = -0.72), the COD-Timer 5-0-5 for contact time-5-0-5 (ms) (p = 0.04, d = 0.69) and 10 m-5-0-5 (s) (p = 0.02, d = 0.79), tactical knowledge of in-game performance (p = 0.01, d = -1.19), support level (p = 0.01, d = -1.27), decision-making ability (p = 0.01, d = 0.59), melancholy (p = 0.01, d = 0.59), confusion (p = 0.01, d = 0.56), and emotional intelligence (p = 0.04, d = 0.77). The Premier category presented slightly higher averages than did category A. In the assessment of running-based anaerobic sprint test power (p < 0.05, d = 0.83) and mood states (p < 0.05, d = 0.59), players in category A presented higher results. Conclusions: The performance capacity of youth soccer players encompasses a multidimensional complexity that includes physical, tactical, emotional, and psychological aspects, which vary among players of the same age.

Hierarchical convolutional neural networks with post-attention for speech emotion recognition

Speech emotion recognition (SER) is a key prerequisite for natural human–computer interaction. However, existing SER systems still face great challenges, particularly in the extraction of discriminative and high-quality emotional features. To address this challenge, this study proposes hc-former, a hierarchical convolutional neural network (CNN) with post-attention. Unlike traditional CNNs and recurrent neural networks (RNNs), our model adeptly extracts potent class-discriminative features that integrate spatiotemporal information and long-term dependence. The class-discriminative features extracted by hc-former, which emphasize both interclass separation and intraclass compactness, can more effectively represent different class emotions often confused with one another, leading to superior classification results. Our experimental results further indicate the exceptional performance of hc-former for SER on benchmark datasets, surpassing other peer models in terms of performance while utilizing fewer parameters.

“Let’s live long enough so as see how science and peAce triumph over ignorance and war”: correpondence between E. Kahane and a. E. Braunshtein as a mirror of soviet-French scientific Links in biochemistry in the 1950s – 1980s

The article reviews an episode in the Soviet-French scientific cooperation in the field of biochemistry in the 1950s – 1980s, as reflected in a unique historical source – the correspondence between a renowned Soviet biochemist, Academician A. E. Braunshtein (Braunstein), and his French colleague Ernest Kahane that lasted about 30 years. The remaining 16 letters (5 addressed to Kahane and 11, to Braunshtein) with commentary are published in the end of the article. From this correspondence one can learn about the aspects of convening certain scientific events, some details from the correspondents’ biographies, discussions of joint Soviet-French scientific projects, etc. The style of the letters varies, with Kahane being more emotional and allowing himself to criticize the authorities that withheld issuing visa to Braunshtein and give emotional characteristics of his colleagues-biochemists. Braunshtein’s epistolary style is more reserved, which was in line with his character. Apart from the letters, the article uses a wide range of sources many of which are introduced for scientific use for the first time. These materials concerning Braunshtein’s international secondments, autobiographies, and memoirs about Braunshtein allow reconstructing the historical context in which the communication between Soviet and French biochemists occurred. Thus, despite France not being the main foreign partner for Braunshtein and his laboratory, the materials published here cast light on some of the less studied aspects of the French-Soviet scientific cooperation.

PREVENÇÃO DO ENVELHECIMENTO CUTÂNEO NA MENOPAUSA

Menopause, in the transition phase that generally occurs between the ages of 45 and 55, causes significant hormonal changes that affect a woman's physical and emotional health and quality of life. The reduction in hormones such as estrogen and progesterone especially impacts the skin, making it thinner, drier and less elastic, which facilitates the appearance of wrinkles and sagging. This process intensifies the search for aesthetic treatments aimed at revitalizing the skin and strengthening self-esteem. Among these interventions, radiofrequency (RF) and the use of dermocosmetics stand out, which stimulate fibroblasts and promote collagen production, being effective in facial, body and intimate rejuvenation. This study reviews scientific articles, dissertations, scientific journals, which were published between 2020 and 2024, with the aim of identifying treatments that prevent the signs of skin aging and promote skin health, seeking to offer effective aesthetic care alternatives for menopausal women.

Whom to turn to? The association between childhood living arrangement and the parent-child relationship

Objective: First, the study examines if children’s perception of their parent-child relationship is associated with parental separation and second, it investigates if children’s perception of their relationship with parents is associated with their living arrangements post-separation. Background: Previous findings indicate that children living in shared residence generally fare better across several life domains compared to children living in sole parental households. There is, however, limited knowledge of how children perceive their relationships with both their separated parents during childhood. Method: The data includes two cross-sectional waves (2000 and 2010) of the child survey (Child-LNU) that accompanies the Swedish Level-of-Living Survey (LNU). The analytical sample consisted of 2,064 children (10-18 years), and the subsample of separated families comprised 455 children. Results: Children in separated families were less likely to turn to both parents when worried (emotional support) compared to children living with two custodial parents in the same household. Additionally, they were less likely to report that they get along very well with both parents. Children in shared residence arrangements did not differ significantly from children in households with two custodial parents, with the exception of older children (age 14-18), who also reported less often that they get on very well with both parents. In contrast, children in sole parental residence fared worse regarding both emotional support from, and relationship quality with, both parents. Conclusion: Shared residence enables children to maintain a relationship with both parents after separation, regarding both emotional support and relationship quality. This result is on par with the parental relationships of children in households with two custodial parents. Importantly, this study does not claim to provide causal interpretation due to the use of cross-sectional data.

Emotion as Cause, Effect, Mediator, and Moderator in Marketing: An Integrative Review and Future Research Directions

ABSTRACTThe study aims to synthesize four decades of research on emotions in marketing by delving into the specifics of who, where, how, what and when. Using quantitative and qualitative methods, 453 articles from top marketing journals were analysed. The study first presents a descriptive account of publication and citation metrics and theoretical underpinning, resolving contestation around emotion function as cause, effect, mediator and moderator. Secondly, using science mapping, along with performance and content analysis landscape of emotion research is unravelled by identifying eight clusters. These clusters placed on development timelines provide a bird's eye view and are presented on a three‐level categorization: Theory, Characteristics and Context. Clusters 1 and 2 focus on theoretical underpinning of emotion interrelationship with cognition and construal. Clusters 3 and 4 emphasized unique characteristics of emotion as antecedents and outcomes to/of evaluations/behaviours. Clusters 5, 6, 7, and 8 emphasized distinct emotional settings—notably, cluster 5 accounts for emotion interaction across service encounters and elements of service interface. Cluster 6 emphasizes effectiveness, advantage and measurement of emotion in advertising. Cluster 7 highlights how emotions are profoundly shaped by and influence social interactions/behaviour, and Cluster 8 underscores emotion embedded in brands, products and life experiences. Finally, a diverse yet unified field of emotion research in marketing is advocated by reflecting on findings, identifying opportunities for cross‐pollination, highlighting cluster‐specific future research directions and developing an integrative framework. The framework, beyond decision‐making, synthesizes distinct ways emotion arises and permeates marketplace and accounts for alternate lenses to emotion functioning, promoting newer research.