The role and assesment of mental and emotional state in patients with arrhythmias

The aim is to study the influence and assessment of mental and emotional states in patients with arrhythmias.Materials and methods. Literature search was performed using the following resources: PubMed, Web of Science, Scopus, as well as in the search system Google Scholar by the key words “psychoarrhythmology”, “neural-cardiac axis”, “psychocardiology”, “arrhythmogenesis”, and “stress-induced arrhythmia”. Articles should be freely available and should represent the most relevant information on the topic. Studies were selected by the largest sample and citation index.Results. In this review of studies on the correlation of psychosocial factors and constitutional features of personality in patients with arrhythmias, the available data on the pathogenesis of cardiac pathology, including the main arrhythmological disorders in nervous excitation caused by negative emotions and stress are presented. The article also reflects the importance of a multidisciplinary approach to risk prediction, potential risk modifiers and approaches to the treatment of cardiac pathology, taking into account the psycho-emotional state of the patient.Conclusion. Reducing the severity of the disease requires a comprehensive approach, in particular, psychodiagnostics, psychocorrection, psychotherapy and psychopharmacotherapy. Further development of this approach to this problem will lead to the creation of new programs for early diagnosis, prevention and treatment of cardiac pathology.

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Chemical Fingerprints of Emotional Body Odor

Metabolites ◽

10.3390/metabo10030084 ◽

2020 ◽

Vol 10 (3) ◽

pp. 84 ◽

Cited By ~ 5

Author(s):

Monique A.M. Smeets ◽

Egge A.E. Rosing ◽

Doris M. Jacobs ◽

Ewoud van Velzen ◽

Jean H. Koek ◽

...

Keyword(s):

Social Communication ◽

Multidisciplinary Approach ◽

Emotional State ◽

Chemical Properties ◽

Emotional States ◽

Multivariate Statistical ◽

Neutral State ◽

Chemical Fingerprints ◽

Cyclic Molecules ◽

Body Odors

Chemical communication is common among animals. In humans, the chemical basis of social communication has remained a black box, despite psychological and neural research showing distinctive physiological, behavioral, and neural consequences of body odors emitted during emotional states like fear and happiness. We used a multidisciplinary approach to examine whether molecular cues could be associated with an emotional state in the emitter. Our research revealed that the volatile molecules transmitting different emotions to perceivers also have objectively different chemical properties. Chemical analysis of underarm sweat collected from the same donors in fearful, happy, and emotionally neutral states was conducted using untargeted two-dimensional (GC×GC) coupled with time of flight (ToF) MS-based profiling. Based on the multivariate statistical analyses, we find that the pattern of chemical volatiles (N = 1655 peaks) associated with fearful state is clearly different from that associated with (pleasant) neutral state. Happy sweat is also significantly different from the other states, chemically, but shows a bipolar pattern of overlap with fearful as well as neutral state. Candidate chemical classes associated with emotional and neutral sweat have been identified, specifically, linear aldehydes, ketones, esters, and cyclic molecules (5 rings). This research constitutes a first step toward identifying the chemical fingerprints of emotion.

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Effect of Emotions in a Lexical Decision Task

Swiss Journal of Psychology ◽

10.1024/1421-0185/a000193 ◽

2017 ◽

Vol 76 (2) ◽

pp. 71-79 ◽

Cited By ~ 1

Author(s):

Hélène Maire ◽

Renaud Brochard ◽

Jean-Luc Kop ◽

Vivien Dioux ◽

Daniel Zagar

Keyword(s):

Lexical Decision ◽

Lexical Decision Task ◽

Emotional State ◽

Control Group ◽

Decision Task ◽

Attentional Orienting ◽

Emotional States ◽

Sequence Effect ◽

Emotion Induction ◽

Before And After

Abstract. This study measured the effect of emotional states on lexical decision task performance and investigated which underlying components (physiological, attentional orienting, executive, lexical, and/or strategic) are affected. We did this by assessing participants’ performance on a lexical decision task, which they completed before and after an emotional state induction task. The sequence effect, usually produced when participants repeat a task, was significantly smaller in participants who had received one of the three emotion inductions (happiness, sadness, embarrassment) than in control group participants (neutral induction). Using the diffusion model ( Ratcliff, 1978 ) to resolve the data into meaningful parameters that correspond to specific psychological components, we found that emotion induction only modulated the parameter reflecting the physiological and/or attentional orienting components, whereas the executive, lexical, and strategic components were not altered. These results suggest that emotional states have an impact on the low-level mechanisms underlying mental chronometric tasks.

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Dogs can infer implicit information from human emotional expressions

Animal Cognition ◽

10.1007/s10071-021-01544-x ◽

2021 ◽

Author(s):

Natalia Albuquerque ◽

Daniel S. Mills ◽

Kun Guo ◽

Anna Wilkinson ◽

Briseida Resende

Keyword(s):

Emotional State ◽

Food Resource ◽

Emotional Expressions ◽

Emotional States ◽

Emotional Information ◽

Implicit Information ◽

Emotional Display ◽

Affective Information ◽

Social Decision Making ◽

Current Behaviour

AbstractThe ability to infer emotional states and their wider consequences requires the establishment of relationships between the emotional display and subsequent actions. These abilities, together with the use of emotional information from others in social decision making, are cognitively demanding and require inferential skills that extend beyond the immediate perception of the current behaviour of another individual. They may include predictions of the significance of the emotional states being expressed. These abilities were previously believed to be exclusive to primates. In this study, we presented adult domestic dogs with a social interaction between two unfamiliar people, which could be positive, negative or neutral. After passively witnessing the actors engaging silently with each other and with the environment, dogs were given the opportunity to approach a food resource that varied in accessibility. We found that the available emotional information was more relevant than the motivation of the actors (i.e. giving something or receiving something) in predicting the dogs’ responses. Thus, dogs were able to access implicit information from the actors’ emotional states and appropriately use the affective information to make context-dependent decisions. The findings demonstrate that a non-human animal can actively acquire information from emotional expressions, infer some form of emotional state and use this functionally to make decisions.

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An experimental study on the effect of emotion lines in comics

Semiotica ◽

10.1515/sem-2019-0079 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Amitash Ojha ◽

Charles Forceville ◽

Bipin Indurkhya

Keyword(s):

Experimental Study ◽

Emotional State ◽

Negative Emotions ◽

Emotional States ◽

One To One

Abstract Both mainstream and art comics often use various flourishes surrounding characters’ heads. These so-called “pictorial runes” (also called “emanata”) help convey the emotional states of the characters. In this paper, using (manipulated) panels from Western and Indian comic albums as well as neutral emoticons and basic shapes in different colors, we focus on the following two issues: (a) whether runes increase the awareness in comics readers about the emotional state of the character; and (b) whether a correspondence can be found between the types of runes (twirls, spirals, droplets, and spikes) and specific emotions. Our results show that runes help communicate emotion. Although no one-to-one correspondence was found between the tested runes and specific emotions, it was found that droplets and spikes indicate generic emotions, spirals indicate negative emotions, and twirls indicate confusion and dizziness.

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I Know What You Need: Investigating Document Retrieval Effectiveness with Partial Session Contexts

ACM Transactions on Information Systems ◽

10.1145/3488667 ◽

2022 ◽

Vol 40 (3) ◽

pp. 1-30

Author(s):

Procheta Sen ◽

Debasis Ganguly ◽

Gareth J. F. Jones

Keyword(s):

Relevant Information ◽

Document Retrieval ◽

Context Information ◽

Information Need ◽

Search System ◽

Query Log ◽

Sequence Modeling ◽

Joint Embedding ◽

One Step ◽

A Current

Reducing user effort in finding relevant information is one of the key objectives of search systems. Existing approaches have been shown to effectively exploit the context from the current search session of users for automatically suggesting queries to reduce their search efforts. However, these approaches do not accomplish the end goal of a search system—that of retrieving a set of potentially relevant documents for the evolving information need during a search session. This article takes the problem of query prediction one step further by investigating the problem of contextual recommendation within a search session. More specifically, given the partial context information of a session in the form of a small number of queries, we investigate how a search system can effectively predict the documents that a user would have been presented with had he continued the search session by submitting subsequent queries. To address the problem, we propose a model of contextual recommendation that seeks to capture the underlying semantics of information need transitions of a current user’s search context. This model leverages information from a number of past interactions of other users with similar interactions from an existing search log. To identify similar interactions, as a novel contribution, we propose an embedding approach that jointly learns representations of both individual query terms and also those of queries (in their entirety) from a search log data by leveraging session-level containment relationships. Our experiments conducted on a large query log, namely the AOL, demonstrate that using a joint embedding of queries and their terms within our proposed framework of document retrieval outperforms a number of text-only and sequence modeling based baselines.

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The role of emotional service in the restaurant business

Vestnik Universiteta ◽

10.26425/1816-4277-2021-11-164-167 ◽

2022 ◽

pp. 164-167

Author(s):

N. A. Ofitserova

Keyword(s):

Emotional Intelligence ◽

Customer Satisfaction ◽

Emotional Labor ◽

Work Performance ◽

Positive Emotions ◽

Emotional State ◽

Communicative Competence ◽

Point Of View ◽

Emotional States

The article considers the restaurant business from the point of view of not only the entrepreneurial aspect, but also the service aspect, which is fundamental. The reasons why people visit restaurants have been revealed. In addition to physical need, restaurants are an element of cognition and a way of experiencing positive emotions. The importance of the restaurant business in shaping people’s positive emotional state has been formulated. Two forms of emotional labor of an employee and the influence of emotional states on work performance have been highlighted. The role of emotional intelligence and communicative competence in customer satisfaction with a restaurant visit has been determined. The importance of developing emotional intelligence has been concluded. Recommendations for its development has been formulated.

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Speech-based human emotion recognition

10.32920/ryerson.14651964 ◽

2021 ◽

Author(s):

Talieh Seyed Tabtabae

Keyword(s):

Emotion Recognition ◽

Emotional State ◽

Speaker Identification ◽

Recognition System ◽

Research Area ◽

Speech Signals ◽

Spectral Features ◽

Emotional States ◽

Human Communication ◽

Set Up

Automatic Emotion Recognition (AER) is an emerging research area in the Human-Computer Interaction (HCI) field. As Computers are becoming more and more popular every day, the study of interaction between humans (users) and computers is catching more attention. In order to have a more natural and friendly interface between humans and computers, it would be beneficial to give computers the ability to recognize situations the same way a human does. Equipped with an emotion recognition system, computers will be able to recognize their users' emotional state and show the appropriate reaction to that. In today's HCI systems, machines can recognize the speaker and also content of the speech, using speech recognition and speaker identification techniques. If machines are equipped with emotion recognition techniques, they can also know "how it is said" to react more appropriately, and make the interaction more natural. One of the most important human communication channels is the auditory channel which carries speech and vocal intonation. In fact people can perceive each other's emotional state by the way they talk. Therefore in this work the speech signals are analyzed in order to set up an automatic system which recognizes the human emotional state. Six discrete emotional states have been considered and categorized in this research: anger, happiness, fear, surprise, sadness, and disgust. A set of novel spectral features are proposed in this contribution. Two approaches are applied and the results are compared. In the first approach, all the acoustic features are extracted from consequent frames along the speech signals. The statistical values of features are considered to constitute the features vectors. Suport Vector Machine (SVM), which is a relatively new approach in the field of machine learning is used to classify the emotional states. In the second approach, spectral features are extracted from non-overlapping logarithmically-spaced frequency sub-bands. In order to make use of all the extracted information, sequence discriminant SVMs are adopted. The empirical results show that the employed techniques are very promising.

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Beneficios de la actividad física para la promoción de un envejecimiento activo en personas mayores. Revisión bibliográfica (Benefits of physical activity for the promotion of active aging in elderly. Bibliographic review)

Retos ◽

10.47197/retos.v0i39.74537 ◽

2020 ◽

Author(s):

Nazaret Martínez Heredia ◽

Esther Santaella Rodríguez ◽

Antonio-Manuel Rodríguez-García

Keyword(s):

Physical Activity ◽

Healthy Aging ◽

Web Of Science ◽

Cerebral Oxygenation ◽

Positive Impact ◽

Daily Practice ◽

Well Being ◽

Relevant Information ◽

Intellectual Activity ◽

Revisión Sistemática

En las últimas décadas se observan cambios demográficos significativos, se observa una tendencia progresiva en cuanto al envejecimiento de la población, la longevidad se trata de una característica presente en nuestra sociedad. Dicho cambio está propiciando el desarrollo de diversas políticas orientadas a fomentar un envejecimiento activo y saludable, teniendo en cuenta los beneficios de la actividad física para su promoción. El principal objetivo de este estudio se centra en realizar una revisión sistemática de estudios sobre la incidencia positiva de la actividad física en el bienestar de las personas mayores asociado a un envejecimiento saludable. Para ello, se utilizaron los estudios recogidos en la colección principal de la base de datos Web of Science, seleccionando las revistas con mayor índice de impacto. La muestra consta de 15 artículos, los cuales se estudian a fondo para desglosar la información más relevante. Los artículos han sido seleccionados teniendo en cuenta las siguientes variables: objetivos, diseño, muestra e instrumentos y resultados. Los artículos analizados muestran que la práctica diaria de actividad física incrementa los niveles de autoestima e incide en la felicidad de los mayores, además de contribuir a mejorar la capacidad para el autocuidado, favorecer la integración del esquema corporal y facilitar las relaciones intergeneracionales, entre otros aspectos positivos. Es necesario promover un envejecimiento activo y saludable en mayores basado en la promoción de la actividad física. Abstract: A significant change is taking place nowadays, i.e. the progressive tendency to aging of the elderly population: longevity is a very latent characteristic in our society. This change is favoring the development of various policies for the preparation of the population towards an active and healthy aging, taking into account the benefits of physical activity for its promotion. The main objective of this study is to review the bibliography on the positive impact of physical activity on elders’ well-being associated with healthy aging. Studies collected in the Web of Science database were chosen from those journals with the highest impact index. The sample consisted of 15 articles, which were thoroughly studied so to break down the most relevant information. The articles were selected taking into account the following variables: objectives, design, sample and instruments, and results. The analyzed articles showed how daily practice of physical activity increases self-esteem levels, affects elderly’s happiness, contributes to improving self-care competence, promotes corporal scheme integration, facilitates intergenerational relations, increases social participation, creates positive changes in lifestyle, improves sleep quality, reduces anxiety, stress, depression and insomnia, and reinforces intellectual activity due to good cerebral oxygenation, among other effects. In the third age it is necessary to promote an active and healthy aging based on the promotion of physical activity.

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Engineering Emotionally Intelligent Agents

Intelligent Agent Software Engineering ◽

10.4018/978-1-59140-046-2.ch005 ◽

2011 ◽

pp. 99-117

Author(s):

Penny Baillie ◽

Mark Toleman ◽

Dickson Lukose

Keyword(s):

Artificial Intelligence ◽

Intelligent Agents ◽

Emotional State ◽

Psychological Theory ◽

Emotional States ◽

Changing Environment ◽

Emotionally Intelligent ◽

Over Time ◽

The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

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Multitarget, Selective Compound Design Yields Picomolar Inhibitors of a Kinetoplastid Pteridine Reductase 1

10.26434/chemrxiv.13026797 ◽

2020 ◽

Author(s):

Ina Poehner ◽

Antonio Quotadamo ◽

Joanna Panecka-Hofman ◽

Rosaria Luciani ◽

Matteo Santucci ◽

...

Keyword(s):

Drug Discovery ◽

Dihydrofolate Reductase ◽

Multidisciplinary Approach ◽

Microwave Assisted Synthesis ◽

Crystallographic Structure ◽

Computational Docking ◽

Design And Optimization ◽

Microwave Assisted ◽

Structure Activity ◽

Further Development

The optimization of compounds with multiple targets in the drug discovery cycle is a difficult multidimensional problem. Here, we present a systematic, multidisciplinary approach to the development of selective anti-parasitic compounds. Efficient microwave-assisted synthesis of pteridines along with iterations of crystallographic structure determination were used to validate computational docking predictions and support derivation of a structure-activity relationship for multitarget inhibition. This approach yielded compounds showing picomolar inhibition of T. brucei pteridine reductase 1 (PTR1), nanomolar inhibition of L. major PTR1, along with selective submicromolar inhibition of parasitic dihydrofolate reductase (DHFR). Moreover, by combining design for polypharmacology with a property-based on-parasite optimization, we found three compounds that exhibited micromolar EC50 values against T. brucei brucei, whilst retaining their target inhibition. Our results provide a basis for the further development of pteridine-based compounds and we expect our multitarget approach to be generally applicable to the design and optimization of anti-infective agents.

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