Patterns of Interactions of the Complex City System:Emotional Urban Objects as Triggering Agents-A Secondary Publication

This article presents an analysis of the patterns of interactions resulting from the positive and negative emotional events that occur in cities,considering them as complex systems.It explores,from the imaginaries,how certain urban objects can act as emotional agents and how these events affect the urban system as a whole.An adaptive complex systems perspective is used to analyze these patterns.The results show patterns in the processes and dynamics that occur in cities based on the objects that affect the emotions of the people who live there.These patterns depend on the characteristics of the emotional charge of urban objects,but they can be generalized in the following process:(1)immediate reaction by some individuals;(2)emotions are generated at the individual level which begins to generalize,permuting to a collective emotion;(3)a process of reflection is detonated in some individuals from the reading of collective emotions;(4)integration/significance in the community both at the individual and collective level,on the concepts,roles and/or functions that give rise to the process in the system.Therefore,it is clear that emotions play a significant role in the development of cities and these aspects should be considered in the design strategies of all kinds of projects for the city.Future extensions of this work could include a deeper analysis of specific emotional events in urban environments,as well as possible implications for urban policy and decision making.

Adolescent suicide risk factors and the integration of socialemotional skills in school-based prevention programs

Adolescents are considered one of the most vulnerable groups affected by suicide.Rapid changes in adolescents’physical and mental states,as well as in their lives,significantly and undeniably increase the risk of suicide.Psychological,social,family,individual,and environmental factors are important risk factors for suicidal behavior among teenagers and may contribute to suicide risk through various direct,indirect,or combined pathways.Social-emotional learning is considered a powerful intervention measure for addressing the crisis of adolescent suicide.When deliberately cultivated,fostered,and enhanced,selfawareness,self-management,social awareness,interpersonal skills,and responsible decision-making,as the five core competencies of social-emotional learning,can be used to effectively target various risk factors for adolescent suicide and provide necessary mental and interpersonal support.Among numerous suicide intervention methods,school-based interventions based on social-emotional competence have shown great potential in preventing and addressing suicide risk factors in adolescents.The characteristics of school-based interventions based on social-emotional competence,including their appropriateness,necessity,cost-effectiveness,comprehensiveness,and effectiveness,make these interventions an important means of addressing the crisis of adolescent suicide.To further determine the potential of school-based interventions based on social-emotional competence and better address the issue of adolescent suicide,additional financial support should be provided,the combination of socialemotional learning and other suicide prevention programs within schools should be fully leveraged,and cooperation between schools and families,society,and other environments should be maximized.These efforts should be considered future research directions.

Web-based cognitive interventions on subjective cognitive impairment in cancer survivors:A systemic review

Objective:Cancer survivors have experienced subjective cognitive impairment(SCI)when they received cancer diagnoses or treatments.Their psychosocial and emotional statuses were also impacted.With the advancement of web technologies,web-based cognitive interventions have been implemented in the management and the alleviation of the SCI,the psychosocial distress,and the emotional distress in cancer survivors.This review aimed to summarize the intervention contents of web-based cognitive interventions for SCI,and to explore the effects of the interventions on SCI,psychosocial status,and emotional health.Methods:Six databases(CINAHL Plus,Cochrane Library,Embase,APA PsycInfo,PubMed and CNKI)were searched from the establishment of databases up to December 2023.Literature references were also manually searched for related articles.Results:This review contained 21 studies that covered the contents of web-based cognitive interventions,such as computer-assisted cognitive training,online cognitive rehabilitation,cognitive behavior therapy with the Internet,telehealth physical exercise,and web-based mindfulness interventions.The effects of web-based cognitive interventions positively impacted SCI for cancer survivors.Also,these interventions showed varying degrees of effectiveness in alleviating psychosocial and emotional distresses.Conclusion:By summarizingfive types of cognitive intervention contents delivered via web technology,this review demonstrated that web-based cognitive interventions optimized SCI and overall psychosocial and emotional statuses for the cancer survivors.It is recommended that future research focus on the development of customized web-based cognitive interventions for individuals with SCI,along with their psychosocial and emotional statuses.

A Model for Detecting Fake News by Integrating Domain-Specific Emotional and Semantic Features

With the rapid spread of Internet information and the spread of fake news,the detection of fake news becomes more and more important.Traditional detection methods often rely on a single emotional or semantic feature to identify fake news,but these methods have limitations when dealing with news in specific domains.In order to solve the problem of weak feature correlation between data from different domains,a model for detecting fake news by integrating domain-specific emotional and semantic features is proposed.This method makes full use of the attention mechanism,grasps the correlation between different features,and effectively improves the effect of feature fusion.The algorithm first extracts the semantic features of news text through the Bi-LSTM(Bidirectional Long Short-Term Memory)layer to capture the contextual relevance of news text.Senta-BiLSTM is then used to extract emotional features and predict the probability of positive and negative emotions in the text.It then uses domain features as an enhancement feature and attention mechanism to fully capture more fine-grained emotional features associated with that domain.Finally,the fusion features are taken as the input of the fake news detection classifier,combined with the multi-task representation of information,and the MLP and Softmax functions are used for classification.The experimental results show that on the Chinese dataset Weibo21,the F1 value of this model is 0.958,4.9% higher than that of the sub-optimal model;on the English dataset FakeNewsNet,the F1 value of the detection result of this model is 0.845,1.8% higher than that of the sub-optimal model,which is advanced and feasible.

Exploring the relationship between red blood cell levels and emotional regulation through the miR191-Riok3-Mxi1 pathway

Objective:To assess emotional fluctuations,physical and mental health status,and indicators closely related to red blood cells,such as RIO kinase 3(Riok3),MAX interactor 1(Mxi1),and microRNA 191(miR191),in participants with different levels of red blood cells.Methods:Participants who underwent physical examinations at Dongfang Hospital between April and October 2019 were divided into healthy,blood deficiency,and anemia groups(30 individuals in the healthy and blood deficiency group respectively,and 13 in the anemia group).The physical and mental conditions of the participants were evaluated through questionnaires,and emotional fluctuations were assessed through an emotion-inducing experiment,in which participants watched video segments designed to induce specific emotions.Relative expression levels of miR191,Riok3,and Mxi1 from venous blood samples were also determined.Results:The main psychological factors identified in the anemia and blood deficiency groups were obsessive-compulsive symptoms,depression,anxiety,and other negative emotions.Relative gene expression levels indicated that miR191 was upregulated and Riok3 and Mxi1 were downregulated in both the blood deficiency and anemia groups.Regarding the emotional score of disgust on video stage,the main effect was significant(F=335.58,P<.001),which showed that watching the three videos caused participants to have a dominant emotion,and there is a difference on group(F=5.35,P=.01),with higher disgust scores in the anemia and blood deficiency groups.The symptoms of blood deficiency and anemia,such as weakness in limbs were significantly negatively correlated with Riok3 and Mxi1 expression(r=-0.38 and-0.31 respectively),but was significantly positively correlated with miR191 expression(r=0.29).Conclusion:We determined that a close relationship exists between red blood cell levels and emotional status.Our findings suggest that individuals with anemia and blood deficiency are more likely to experience psychological problems and negative emotions,particularly disgust.We also demonstrate that emotional regulation is related to mir191-Riok3-Mxi1 pathway activity,identifying these pathway components are potential targets for genetic therapies in combination with psychological therapy.

Comparative study on emotional behavior and parental job stress of only-child and non-only-child preschool children

BACKGROUND Studies have revealed that Children's psychological,behavioral,and emotional problems are easily influenced by the family environment.In recent years,the family structure in China has undergone significant changes,with more families having two or three children.AIM To explore the relationship between emotional behavior and parental job stress in only preschool and non-only preschool children.METHODS Children aged 3-6 in kindergartens in four main urban areas of Shijiazhuang were selected by stratified sampling for a questionnaire and divided into only and nononly child groups.Their emotional behaviors and parental pressure were compared.Only and non-only children were paired in a 1:1 ratio by class and age(difference less than or equal to 6 months),and the matched data were compared.The relationship between children's emotional behavior and parents'job stress before and after matching was analyzed.RESULTS Before matching,the mother's occupation,children's personality characteristics,and children's rearing patterns differed between the groups(P<0.05).After matching 550 pairs,differences in the children's parenting styles remained.There were significant differences in children's gender and parents'attitudes toward children between the two groups.The Strengths and Difficulties Questionnaire(SDQ)scores of children in the only child group and the Parenting Stress Index-Short Form(PSI-SF)scores of parents were significantly lower than those in the non-only child group(P<0.05).Pearson’s correlation analysis showed that after matching,there was a positive correlation between children's parenting style and parents'attitudes toward their children(r=0.096,P<0.01),and the PSI-SF score was positively correlated with children's gender,parents'attitudes toward their children,and SDQ scores(r=0.077,0.193,0.172,0.222).CONCLUSION Preschool children's emotional behavior and parental pressure were significantly higher in multi-child families.Parental pressure in differently structured families was associated with many factors,and preschool children's emotional behavior was positively correlated with parental pressure.

Sleep Quality and Emotional Adaptation among Freshmen in Elite Chinese Universities during Prolonged COVID-19 Lockdown:The Mediating Role of Anxiety Symptoms

Under the effects of COVID-19 and a number of ongoing lockdown tactics,anxiety symptoms and poor sleep quality have become common mental health issues among college freshmen and are intimately related to their emotional adaptation.To explore this connection,this study gathered data from a sample of 256 freshmen enrolled in an elite university in China in September 2022.The association between sleep quality,anxiety symptoms,and emotional adaptation was clarified using correlation analysis.Additionally,the mediating function of anxiety symptoms between sleep quality and emotional adaptation was investigated using a structural equation model.The results reveal that:(1)Chinese elite university freshmen who were subjected to prolonged lockdown had poor sleep quality and mild anxiety symptoms;(2)a significant positive correlation between poor sleep quality and anxiety symptoms was identified;(3)anxiety symptoms were found to have a significant negative impact on emotional adaptation;(4)poor sleep quality had a negative impact on emotional adaptation through anxiety symptoms.This research makes a valuable contribution by offering insights into the intricate relationship between sleep quality and emotional adaptation among freshmen in elite Chinese universities during prolonged lockdown conditions,and it is beneficial for schools and educators to further improve school schedules and psychological health initiatives.

Emotional differences based on comments on doctor-patient disputes with varying levels of severity

BACKGROUND The risks associated with negative doctor-patient relationships have seriously hindered the healthy development of medical and healthcare and aroused wide-spread concern in society.The number of public comments on doctor-patient relationship risk events reflects the degree to which the public pays attention to such events.Thirty incidents of doctor-patient disputes were collected from Weibo and TikTok,and 3655 related comments were extracted.The number of comment sentiment words was extracted,and the comment sentiment value was calculated.The Kruskal-Wallis H test was used to compare differences between each variable group at different levels of incidence.Spearman’s correlation analysis was used to examine associations between variables.Regression analysis was used to explore factors influencing scores of comments on incidents.RESULTS The study results showed that public comments on media reports of doctor-patient disputes at all levels are mainly dominated by“good”and“disgust”emotional states.There was a significant difference in the comment scores and the number of partial emotion words between comments on varying levels of severity of doctor-patient disputes.The comment score was positively correlated with the number of emotion words related to positive,good,and happy)and negatively correlated with the number of emotion words related to negative,anger,disgust,fear,and sadness.CONCLUSION The number of emotion words related to negative,anger,disgust,fear,and sadness directly influences comment scores,and the severity of the incident level indirectly influences comment scores.

Understanding the Link:Emotional Attention in Italian Families and Children’s Social Development

Background:Emotional attention refers to the capacity to recognize and properly respond to one’s and others’emotional states.On another note,family is a primary source of socialization that influences the development of various social skills.In another line,adolescence is a complex stage that has been associated with emotional difficulties that could be related to competences such as prosociability and inclusion.It is inferred that through the family context and the attention that is processed,a series of competencies are transmitted to the youngsters,but this relationship is still unclear.For this reason,the study’s purpose was to examine the relationship between the emotional attention of mothers and fathers and the social and prosocial competencies of their children.Methods:To accomplish this,a cross-sectional study and ex post facto design were conducted.The Trait-Meta Mood Scale(TMMS-24)-to assess emotional attention-,the Strengths and Difficulties Questionnaire(SDQ)-to determine the prosociality dimension-,and the Test on Passing Developmental Tasks in Adolescence(TCS-A)-to measure social inclusionwere administered.The participants were N=228 families composed of n=114 mothers/fathers(67.5%females)and n=114 daughters/sons(38.5%females)selected through non-probabilistic sampling using a convenience sample in the Bari region of Italy.A descriptive and inferential analysis-Student’s test and Pearson’s correlation-was performed with the statistic package SPSS version 28(significance level p<0.05).Results:The findings showed that the families possessed an adequate background in emotional attention and that their daughters and sons were also generally well-adjusted in social inclusion and prosociality.It also found certain signs that the prosocial competence of the children could be related to the behavior of their mothers and fathers.Conclusion:In conclusion,social inclusion is related to prosocial behavior,and maybe primarily cultivated within families where parents’emotional self-regulation serves as a model for children although further research is necessary.Comparative studies between different cultures are also proposed.

High-risk factors for delirium in severely ill patients and the application of emotional nursing combined with pain nursing

BACKGROUND Delirium is a neuropsychiatric syndrome characterized by acute disturbances of consciousness with rapid onset,rapid progression,obvious fluctuations,and preventable,reversible,and other characteristics.Patients with delirium in the intensive care unit(ICU)are often missed or misdiagnosed and do not receive adequate attention.AIM To analyze the risk factors for delirium in ICU patients and explore the applica-tion of emotional nursing with pain nursing in the management of delirium.METHODS General data of 301 critically ill patients were retrospectively collected,including histories(cardiovascular and cerebrovascular diseases,hypertension,smoking,alcoholism,and diabetes),age,sex,diagnosis,whether surgery was performed,and patient origin(emergency/clinic).Additionally,the duration of sedation,Richmond Agitation Sedation Scale score,combined emotional and pain care,ven-tilator use duration,vasoactive drug use,drainage tube retention,ICU stay du-ration,C-reactive protein,procalcitonin,white blood cell count,body tempe-rature,Acute Physiology and Chronic Health Evaluation II(APACHE II)score,and Sequential Organ Failure Assessment score were recorded within 24 h after ICU admission.Patients were assessed for delirium according to confusion assessment method for the ICU,and univariate and multivariate logistic regre-ssion analyses were performed to identify the risk factors for delirium in the patients.RESULTS Univariate logistic regression analysis was performed on the 24 potential risk factors associated with delirium in ICU patients.The results showed that 16 risk factors were closely related to delirium,including combined emotional and pain care,history of diabetes,and patient origin.Multivariate logistic regression analysis revealed that no combined emotional and pain care,history of diabetes,emergency source,surgery,long stay in the ICU,smoking history,and high APACHE II score were independent risk factors for de-lirium in ICU patients.CONCLUSION Patients with diabetes and/or smoking history,postoperative patients,patients with a high APACHE II score,and those with emergency ICU admission need emotional and pain care,flexible visiting modes,and early intervention to reduce delirium incidence.

Association between Mental Health Literacy and Workplace Well-Being of Chinese Grassroots Civil Servants:The Chain Mediating Effects of Regulatory Emotional Self-Efficacy and Resilience

This study aimed to investigate the relationship between mental health literacy(MHL)and workplace well-being(WWB)of Chinese grassroots civil servants,with regulatory emotional self-efficacy(RESE)and resilience as mediating variables.A questionnaire survey was conducted among Chinese grassroots civil servants,with a valid sample size of 2673 after excluding missing values and conducting relevant data processing.The PROCESS was used to examine the relationship between MHL,RESE,resilience,and WWB.The study found that MHL among grassroots civil servants was positively and significantly correlated with WWB(r=0.73,p<0.01).RESE partially mediated the relationship between MHL and WWB(β=0.25,95%CI[0.22,0.28]).Resilience partially mediated the relationship between MHL and WWB(β=0.22,95%CI[0.19,0.26]).MHL had a positive effect on WWB through the chain mediating effect of RESE and resilience(β=0.05,95%CI[0.03,0.07]).There is a close relationship between MHL and WWB,where Chinese grassroots civil servants with higher levels of MHL can develop stronger RESE and resilience,leading to higher WWB.The results of this study remind organizational institutions of Chinese grassroots civil servants that enhancing MHL,RESE,and resilience is an important pathway to promoting their WWB.

Navigating emotional challenges:A journey with patients undergoing chemotherapy

A recent article reported that cancer patients with subthreshold depression are more likely to develop major depression within a year.Multivariate regression analysis revealed that regular exercise was a protective factor against cancerrelated fatigue,whereas advanced age,radiotherapy,pain,and low hemoglobin were risk factors for cancer-related fatigue.A limitation of this study was the lack of methodological details about leukemia patients receiving depressive treatment at a specific hospital.Professional assessment,behavioral modification plans,communication,destressing techniques,and educational plans may help chemotherapy patients manage emotional issues and reduce anxiety.Furthermore,these strategies can inspire patients to create,facilitate their treatment,and help them to remain healthy.

Effect of a systemic intervention combined with a psychological intervention in stroke patients with oropharyngeal dysfunction

BACKGROUND Stroke frequently results in oropharyngeal dysfunction(OD),leading to difficulties in swallowing and eating,as well as triggering negative emotions,malnutrition,and aspiration pneumonia,which can be detrimental to patients.However,routine nursing interventions often fail to address these issues adequately.Systemic and psychological interventions can improve dysphagia symptoms,relieve negative emotions,and improve quality of life.However,there are few clinical reports of systemic interventions combined with psychological interventions for stroke patients with OD.AIM To explore the effects of combining systemic and psychological interventions in stroke patients with OD.METHODS This retrospective study included 90 stroke patients with OD,admitted to the Second Affiliated Hospital of Qiqihar Medical College(January 2022–December 2023),who were divided into two groups:regular and coalition.Swallowing function grading(using a water swallow test),swallowing function[using the standardized swallowing assessment(SSA)],negative emotions[using the selfrating anxiety scale(SAS)and self-rating depression scale(SDS)],and quality of life(SWAL-QOL)were compared between groups before and after the intervention;aspiration pneumonia incidence was recorded.RESULTS Post-intervention,the coalition group had a greater number of patients with grade 1 swallowing function compared to the regular group,while the number of patients with grade 5 swallowing function was lower than that in the regular group(P<0.05).Post-intervention,the SSA,SAS,and SDS scores of both groups decreased,with a more significant decrease observed in the coalition group(P<0.05).Additionally,the total SWAL-QOL score in both groups increased,with a more significant increase observed in the coalition group(P<0.05).During the intervention period,the total incidence of aspiration and aspiration pneumonia in the coalition group was lower than that in the control group(4.44%vs 20.00%;P<0.05).CONCLUSION Systemic intervention combined with psychological intervention can improve dysphagia symptoms,alleviate negative emotions,enhance quality of life,and reduce the incidence of aspiration pneumonia in patients with OD.

Enhancing User Security on Instagram: A Multifaceted AI System for Filtering Abusive Comments

Social media platforms like Instagram have increasingly become venues for online abuse and offensive comments. This study aimed to enhance user security to create a safe online environment by eliminating hate speech and abusive language. The proposed system employed a multifaceted approach to comment filtering, incorporating the multi-level filter theory. This involved developing a comprehensive list of words representing various types of offensive language, from slang to explicit abuse. Machine learning models were trained to identify abusive messages through sentiment analysis and contextual understanding. The system categorized comments as positive, negative, or abusive using sentiment analysis algorithms. Employing AI technology, it created a dynamic filtering mechanism that adapted to evolving online language and abusive behavior. Integrated with Instagram while adhering to ethical data collection principles, the platform sought to promote a clean and positive user experience, encouraging users to focus on non-abusive communication. Our machine-learned models, trained on a cleaned Arabic language dataset, demonstrated promising accuracy (75.8%) in classifying Arabic comments, potentially reducing abusive content significantly. This advancement aimed to provide users with a clean and positive online experience.

Rational and Continuous Measurement of Emotional-Fingerprint, Emotional-Quotient and Categorical vs Proportional Recognition of Facial Emotions with M.A.R.I.E., Second Half

Context: The advent of Artificial Intelligence (AI) requires modeling prior to its implementation in algorithms for most human skills. This observation requires us to have a detailed and precise understanding of the interfaces of verbal and emotional communications. The progress of AI is significant on the verbal level but modest in terms of the recognition of facial emotions even if this functionality is one of the oldest in humans and is omnipresent in our daily lives. Dysfunction in the ability for facial emotional expressions is present in many brain pathologies encountered by psychiatrists, neurologists, psychotherapists, mental health professionals including social workers. It cannot be objectively verified and measured due to a lack of reliable tools that are valid and consistently sensitive. Indeed, the articles in the scientific literature dealing with Visual-Facial-Emotions-Recognition (ViFaEmRe), suffer from the absence of 1) consensual and rational tools for continuous quantified measurement, 2) operational concepts. We have invented a software that can use computer-morphing attempting to respond to these two obstacles. It is identified as the Method of Analysis and Research of the Integration of Emotions (M.A.R.I.E.). Our primary goal is to use M.A.R.I.E. to understand the physiology of ViFaEmRe in normal healthy subjects by standardizing the measurements. Then, it will allow us to focus on subjects manifesting abnormalities in this ability. Our second goal is to make our contribution to the progress of AI hoping to add the dimension of recognition of facial emotional expressions. Objective: To study: 1) categorical vs dimensional aspects of recognition of ViFaEmRe, 2) universality vs idiosyncrasy, 3) immediate vs ambivalent Emotional-Decision-Making, 4) the Emotional-Fingerprint of a face and 5) creation of population references data. Methods: M.A.R.I.E. enables the rational, quantified measurement of Emotional Visual Acuity (EVA) in an individual observer and a population aged 20 to 70 years. Meanwhile, it can measure the range and intensity of expressed emotions through three Face- Tests, quantify the performance of a sample of 204 observers with hypernormal measures of cognition, “thymia” (defined elsewhere), and low levels of anxiety, and perform analysis of the six primary emotions. Results: We have individualized the following continuous parameters: 1) “Emotional-Visual- Acuity”, 2) “Visual-Emotional-Feeling”, 3) “Emotional-Quotient”, 4) “Emotional-Decision-Making”, 5) “Emotional-Decision-Making Graph” or “Individual-Gun-Trigger”, 6) “Emotional-Fingerprint” or “Key-graph”, 7) “Emotional-Fingerprint-Graph”, 8) detecting “misunderstanding” and 9) detecting “error”. This allowed us a taxonomy with coding of the face-emotion pair. Each face has specific measurements and graphics. The EVA improves from ages of 20 to 55 years, then decreases. It does not depend on the sex of the observer, nor the face studied. In addition, 1% of people endowed with normal intelligence do not recognize emotions. The categorical dimension is a variable for everyone. The range and intensity of ViFaEmRe is idiosyncratic and not universally uniform. The recognition of emotions is purely categorical for a single individual. It is dimensional for a population sample. Conclusions: Firstly, M.A.R.I.E. has made possible to bring out new concepts and new continuous measurements variables. The comparison between healthy and abnormal individuals makes it possible to take into consideration the significance of this line of study. From now on, these new functional parameters will allow us to identify and name “emotional” disorders or illnesses which can give additional dimension to behavioral disorders in all pathologies that affect the brain. Secondly, the ViFaEmRe is idiosyncratic, categorical, and a function of the identity of the observer and of the observed face. These findings stack up against Artificial Intelligence, which cannot have a globalist or regionalist algorithm that can be programmed into a robot, nor can AI compete with human abilities and judgment in this domain. *Here “Emotional disorders” refers to disorders of emotional expressions and recognition.

Rational and Continuous Measurement of the Emotional Decision Making in Visual Recognition of Facial Emotional Expressions with M.A.R.I.E.: First Half

Context: The advent of Artificial Intelligence (AI) requires modeling prior to its implementation in algorithms for most human skills. This observation requires us to have a detailed and precise understanding of the interfaces of verbal and emotional communications. The progress of AI is significant on the verbal level but modest in terms of the recognition of facial emotions even if this functionality is one of the oldest in humans and is omnipresent in our daily lives. Dysfunction in the ability for facial emotional expressions is present in many brain pathologies encountered by psychiatrists, neurologists, psychotherapists, mental health professionals including social workers. It cannot be objectively verified and measured due to a lack of reliable tools that are valid and consistently sensitive. Indeed, the articles in the scientific literature dealing with Visual-Facial-Emotions-Recognition (ViFaEmRe), suffer from the absence of 1) consensual and rational tools for continuous quantified measurement, 2) operational concepts. We have invented a software that can use computer-morphing attempting to respond to these two obstacles. It is identified as the Method of Analysis and Research of the Integration of Emotions (M.A.R.I.E.). Our primary goal is to use M.A.R.I.E. to understand the physiology of ViFaEmRe in normal healthy subjects by standardizing the measurements. Then, it will allow us to focus on subjects manifesting abnormalities in this ability. Our second goal is to make our contribution to the progress of AI hoping to add the dimension of recognition of facial emotional expressions. Objective: To study: 1) categorical vs dimensional aspects of recognition of ViFaEmRe, 2) universality vs idiosyncrasy, 3) immediate vs ambivalent Emotional-Decision-Making, 4) the Emotional-Fingerprint of a face and 5) creation of population references data. Methods: With M.A.R.I.E. enable a rational quantified measurement of Emotional-Visual-Acuity (EVA) of 1) a) an individual observer, b) in a population aged 20 to 70 years old, 2) measure the range and intensity of expressed emotions by 3 Face-Tests, 3) quantify the performance of a sample of 204 observers with hyper normal measures of cognition, “thymia,” (ibid. defined elsewhere) and low levels of anxiety 4) analysis of the 6 primary emotions. Results: We have individualized the following continuous parameters: 1) “Emotional-Visual-Acuity”, 2) “Visual-Emotional-Feeling”, 3) “Emotional-Quotient”, 4) “Emotional-Deci-sion-Making”, 5) “Emotional-Decision-Making Graph” or “Individual-Gun-Trigger”6) “Emotional-Fingerprint” or “Key-graph”, 7) “Emotional-Finger-print-Graph”, 8) detecting “misunderstanding” and 9) detecting “error”. This allowed us a taxonomy with coding of the face-emotion pair. Each face has specific measurements and graphics. The EVA improves from ages of 20 to 55 years, then decreases. It does not depend on the sex of the observer, nor the face studied. In addition, 1% of people endowed with normal intelligence do not recognize emotions. The categorical dimension is a variable for everyone. The range and intensity of ViFaEmRe is idiosyncratic and not universally uniform. The recognition of emotions is purely categorical for a single individual. It is dimensional for a population sample. Conclusions: Firstly, M.A.R.I.E. has made possible to bring out new concepts and new continuous measurements variables. The comparison between healthy and abnormal individuals makes it possible to take into consideration the significance of this line of study. From now on, these new functional parameters will allow us to identify and name “emotional” disorders or illnesses which can give additional dimension to behavioral disorders in all pathologies that affect the brain. Secondly, the ViFaEmRe is idiosyncratic, categorical, and a function of the identity of the observer and of the observed face. These findings stack up against Artificial Intelligence, which cannot have a globalist or regionalist algorithm that can be programmed into a robot, nor can AI compete with human abilities and judgment in this domain. *Here “Emotional disorders” refers to disorders of emotional expressions and recognition.

The Emotional Intelligence and the Associated Factors among Nursing Students

Introduction: Emotional intelligence, or the capacity to cope one’s emotions, makes it simpler to form good connections with others and do caring duties. Nursing students can enroll a health team in a helpful and beneficial way with the use of emotional intelligence. Nurses who can identify, control, and interpret both their own emotions and those of their patients provide better patient care. The purpose of this study was to assess the emotional intelligence and to investigate the relationship and differences between emotional intelligence and demographic characteristics of nursing students. Methods: A cross-sectional study was carried out on 381 nursing students. Data collection was completed by “Schutte Self Report Emotional Intelligence Test”. Data were analyzed with the Statistical Package for Social Science. An independent t test, ANOVA, and Pearson correlation, multiple linear regression were used. Results: The results revealed that the emotional intelligence mean was 143.1 ± 21.6 (ranging from 33 to 165), which is high. Also, the analysis revealed that most of the participants 348 (91.3%) had higher emotional intelligence level. This finding suggests that nursing students are emotionally intelligent and may be able to notice, analyze, control, manage, and harness emotion in an adaptive manner. Also, academic year of nursing students was a predictor of emotional intelligence. Furthermore, there was positive relationship between the age and emotional intelligence (p < 0.05). The students’ ability to use their EI increased as they rose through the nursing grades. Conclusion: This study confirmed that the emotional intelligence score of the nursing students was high. Also, academic year of nursing students was a predictor of emotional intelligence. In addition, a positive relationship was confirmed between the emotional intelligence and age of nursing students. .

A Preliminary Discussion on Watercolor Creation and Emotional Expression of Female Themes in the 20th Century

The history of watercolor painting spans over three centuries,and the study of watercolor creations focusing on female themes have been a hot topic in the subfield of art studies.Watercolor originated in the Age of Exploration,initially serving as a practical tool for natural history,and later evolving into an art form for the aristocracy.In the 20th century,creations featuring female themes flourished and reached their peak.Compared to early works portraying female theses in mythology and religion,these paintings exhibit significant differences in expression,color,and texture,reflecting the gradual rise of women’s status and the artists’reflections on modern society.This article delves into the development,emotional expression,creation,and inspiration of watercolor paintings with female themes.By analyzing representative works,we explore the artists’portrayal of women and the reflection of women’s living conditions,social status,and ideological consciousness in contemporary society.This article also examines the profound influence and artistic value of these works on contemporary female-themed paintings from the perspective of art studies.

The Aesthetic Characteristics of Emotional Abuse in The Japanese Movie“0.5mm”

The Japanese movie“0.5mm”connects the life clips between the nursing-care helper Sawa and several old people in the form of a road movie,highlighting many thought-provoking social problems,and revealing how the elements of emotional abuse hidden between the old people and their relatives and friends affect people’s dignity and decency,and at the same time trying to offset the persecution from the emotional abuse with the warm kindness between the elderly and the care workers.The film’s implicit description of emotional abuse and explicit display of good deeds are blended in the quiet and mysterious narrative character,achieving the effect of synchronizing the artistic narrative rhythm with the flow of life,reflecting the unique aesthetic characteristics of Japanese films.

Emotionally Resonant Branding: The Role of AI in Synthesising Dynamic Brand Images for Artists in the Music Industry

Artificial Intelligence (AI) expands its recognition rapidly through the past few years in the context of generating content dynamically, remarkably challenging the human creativity. This study aims to evaluate the efficacy of AI in enhancing personal branding for musicians, particularly in crafting brand images based on emotions received from the artist’s music will improve the audience perceptions regarding the artist’s brand. Study used a quantitative approach for the research, gathering primary data from the survey of 191 people—music lovers, musicians and music producers. The survey focuses on preferences, perceptions, and behaviours related to music consumption and artist branding. The study results demonstrate the awareness and understanding of AI’s role in personal branding within the music industry. Also, results indicate that such an adaptive approach enhances audience perceptions of the artist and strengthens emotional connections. Furthermore, over 50% of the participants indicated a desire to attend live events where an artist’s brand image adapts dynamically to their emotions. The study focuses on novel approaches in personal branding based on the interaction of AI-driven emotional data. In contrast to traditional branding concepts, this study indicates that AI can suggest dynamic and emotionally resonant brand identities for artists. The real time audience response gives proper guidance for the decision-making. This study enriches the knowledge of AI’s applicability to branding processes in the context of the music industry and opens the possibilities for additional advancements in building emotionally appealing brand identities.