scholarly journals The Psychological and Physiological Part of Emotions: Multimodal Approximation for Valence Classification

2019 ◽  
Author(s):  
Jennifer Sorinas ◽  
Jose Manuel Ferrández ◽  
Eduardo Fernandez

AbstractIn order to develop more precise and functional affective applications, it is necessary to achieve a balance between the psychology and the engineering applied to emotions. Signals from the central and peripheral nervous systems have been used for emotion recognition purposes, however, their operation and the relationship between them remains unknown. In this context, in the present work we have tried to approach the study of the psychobiology of both systems in order to generate a computational model for the recognition of emotions in the dimension of valence. To this end, the electroencephalography (EEG) signal, electrocardiography (ECG) signal and skin temperature of 24 subjects have been studied. Each methodology has been evaluated individually, finding characteristic patterns of positive and negative emotions in each of them. After feature selection of each methodology, the results of the classification showed that, although the classification of emotions is possible at both central and peripheral levels, the multimodal approach did not improve the results obtained through the EEG alone. In addition, differences have been observed between cerebral and physiological responses in the processing emotions by separating the sample by sex; though, the differences between men and women were only notable at the physiological level.

Sensors ◽  
2020 ◽  
Vol 20 (1) ◽  
pp. 313 ◽  
Author(s):  
Jennifer Sorinas ◽  
Jose Manuel Ferrández ◽  
Eduardo Fernandez

In order to develop more precise and functional affective applications, it is necessary to achieve a balance between the psychology and the engineering applied to emotions. Signals from the central and peripheral nervous systems have been used for emotion recognition purposes, however, their operation and the relationship between them remains unknown. In this context, in the present work, we have tried to approach the study of the psychobiology of both systems in order to generate a computational model for the recognition of emotions in the dimension of valence. To this end, the electroencephalography (EEG) signal, electrocardiography (ECG) signal and skin temperature of 24 subjects have been studied. Each methodology has been evaluated individually, finding characteristic patterns of positive and negative emotions in each of them. After feature selection of each methodology, the results of the classification showed that, although the classification of emotions is possible at both central and peripheral levels, the multimodal approach did not improve the results obtained through the EEG alone. In addition, differences have been observed between cerebral and peripheral responses in the processing of emotions by separating the sample by sex; though, the differences between men and women were only notable at the peripheral nervous system level.


Innotrans ◽  
2021 ◽  
pp. 32-38
Author(s):  
Nazirjhon M. Aripov ◽  
◽  
Daurenbek I. Ilesaliev ◽  
Jamshid R. Kobulov ◽  
Shahboz R. Abduvahitov ◽  
...  

The article considers the role of transport and refrigerated warehouse complexes in continuous refrigerating supply chains (CRSCs). A summary diagram of technical and technological support is formed, describing the relationship and mutual influence of the elements of the CRSC system. A structural and parametric description of a refrigerated container terminal is carried out. The classification of the parameters of a refrigerated container terminal according to various characteristics is developed. The relationships between the parameters of a refrigerated container terminal are presented in the form of mathematical models. The dependence of the capacity of a refrigerated container terminal with respect to the length of a site is obtained.


Author(s):  
Pius ten Hacken

Compounding is a word formation process based on the combination of lexical elements (words or stems). In the theoretical literature, compounding is discussed controversially, and the disagreement also concerns basic issues. In the study of compounding, the questions guiding research can be grouped into four main areas, labeled here as delimitation, classification, formation, and interpretation. Depending on the perspective taken in the research, some of these may be highlighted or backgrounded. In the delimitation of compounding, one question is how important it is to be able to determine for each expression unambiguously whether it is a compound or not. Compounding borders on syntax and on affixation. In some theoretical frameworks, it is not a problem to have more typical and less typical instances, without a precise boundary between them. However, if, for instance, word formation and syntax are strictly separated and compounding is in word formation, it is crucial to draw this borderline precisely. Another question is which types of criteria should be used to distinguish compounding from other phenomena. Criteria based on form, on syntactic properties, and on meaning have been used. In all cases, it is also controversial whether such criteria should be applied crosslinguistically. In the classification of compounds, the question of how important the distinction between the classes is for the theory in which they are used poses itself in much the same way as the corresponding question for the delimitation. A common classification uses headedness as a basis. Other criteria are based on the forms of the elements that are combined (e.g., stem vs. word) or on the semantic relationship between the components. Again, whether these criteria can and should be applied crosslinguistically is controversial. The issue of the formation rules for compounds is particularly prominent in frameworks that emphasize form-based properties of compounding. Rewrite rules for compounding have been proposed, generalizations over the selection of the input form (stem or word) and of linking elements, and rules for stress assignment. Compounds are generally thought of as consisting of two components, although these components may consist of more than one element themselves. For some types of compounds with three or more components, for example copulative compounds, a nonbinary structure has been proposed. The question of interpretation can be approached from two opposite perspectives. In a semasiological perspective, the meaning of a compound emerges from the interpretation of a given form. In an onomasiological perspective, the meaning precedes the formation in the sense that a form is selected to name a particular concept. The central question in the interpretation of compounds is how to determine the relationship between the two components. The range of possible interpretations can be constrained by the rules of compounding, by the semantics of the components, and by the context of use. A much-debated question concerns the relative importance of these factors.


Author(s):  
Toyohito Oriyama ◽  
Takehito Yamamoto ◽  
Katsuhiko Nara ◽  
Yohei Kawano ◽  
Katsuyoshi Nakajima ◽  
...  

Abstract Background Permeability of antineoplastic agents through medical gloves is an important factor that must be considered for the appropriate selection of gloves. However, predicting the permeability of antineoplastic agents through medical gloves based on their physicochemical properties remains difficult. Thus, this study aimed to elucidate the relationship between the physicochemical properties and permeability of antineoplastic agents through medical gloves. Additionally, we tried to predict the risk of permeation of antineoplastic agents through medical gloves based on physicochemical parameters. Methods Ten antineoplastic agents (carboplatin, carmustine, cisplatin, cyclophosphamide, doxorubicin, etoposide, fluorouracil, ifosfamide, oxaliplatin, and paclitaxel) with varying physicochemical properties were investigated, and their permeation rates (PRs) through nitrile medical gloves of varying thicknesses (0.05, 0.07, and 0.1 mm) were measured using a continuous flow in-line cell device. We also determined the apparent permeation clearance (CLP,app) values of the antineoplastic agents based on their PRs at 240 min (PR240) and assessed the relationship between CLP,app and physicochemical parameters [molecular weight (MW) and logarithm of octanol-water partition coefficient (LogP)]. Results The CLP,app values of the 10 antineoplastic agents through nitrile medical gloves (0.05 mm thickness) were significantly correlated with their MWs, but not their LogP values (P = 0.026 and 0.39, respectively; Spearman’s rank correlation). This finding indicated that the rates of diffusion of the antineoplastic agents in the glove material showed greater effects on CLP,app than the rates of absorption into the glove surfaces within 240 min of exposure. We then classified the 10 antineoplastic agents into 3 zones (Zone A, high LogP/low MW drugs; Zone B, high LogP/high MW drugs; and Zone C, low LogP) and found that Zones A, B, and C corresponded to high (PR240 > 10 ng/min/cm2), moderate (PR240 < 10 ng/min/cm2), and low (no detectable permeation) permeation risk, respectively. Conclusions The permeation risk of antineoplastic agents through nitrile medical gloves within the actual continuous wearing time in clinical settings could be predicted using MW and LogP values. We believe that the proposed zone classification of antineoplastic agents will be a useful tool for predicting the permeation risk of antineoplastic agents through medical gloves.


Author(s):  
Kalai Hung ◽  
Naomi A. Lee ◽  
Kaiping Peng ◽  
Jie Sui

Profiles pictures as online identities represent an extension of the user's self in the digital world. Changes in self-representation are responsible for reduced well-being in individuals in the offline world. However, whether profile picture selection predicts the well-being of internet users is unknown. To address this question, we tested the relationship between the type of profile picture (e.g., self-photographs or other pictures) used on social media and the life satisfaction of internet users, accounting for gender and personality traits that have been thought to relate to the selection of profile pictures. The results showed that individuals using self-photographs as profiles reported a higher level of life satisfaction compared to individuals using other pictures as profiles. This effect was influenced by gender, openness, and extraversion. Hierarchical regression and moderation analyses revealed that openness and profile type interacted to predict life satisfaction in women, while openness and profile picture independently predicted life satisfaction in men. Furthermore, extraversion directly predicted life satisfaction in both men and women. These results indicate that the consistency between one's online and offline self-representation may characterize internet users' well-being, with potential implications for digital wellness.


2019 ◽  
Vol 5 (10) ◽  
pp. 36-48
Author(s):  
Kulsheet Kaur Virdi ◽  
Satish Pawar

Brain Computer Interface (BCI) is device that enables the use of the brain’s neural activity to communicate with others or to control machines, artificial limbs, or robots without direct physical movements. Brain–computer interfacing is an uprising field of research wherever signals extracted from the human brain are used for deciding and generation of control signals. Selection of the most appropriate classifier to find the mental states from electroencephalography (EEG) signal is an open research area due to the signal’s non-stationary and ergodic nature. In this research work the proposed algorithm is designed to solve an important application in BCI where left hand forward–backward movements and right hand forward-backward movements as well as left leg movement and right leg movement are needed to be classified. Features are extracted from these datasets to classify the type of movements. A staked Deepauto encoder is used for classification of hand and leg movements and compared with other classifiers. The accuracy of stacked deepauto encoder is better with respect to other classifiers in terms of classification of hand and leg movement of EEG signals.


2021 ◽  
Vol 9 (2) ◽  
pp. 66-81
Author(s):  
Anna Kuchenkova

The review of empirical studies of the relationship between subjective well-being and the employment type reveals: unlike workers under an open-ended contract, workers with temporary or informal employment show a lower or the same level of subjective well-being, self-employed ones – higher or the same. The results vary depending on the considered indicators of subjective well-being, the criteria for identifying groups of workers, the controlled variables, etc. The use of different models for studying the relationship between subjective well-being and the employment type gives rise to problems of results comparability. Possible sources of contradictions are highlighted in the article. Some of them relate to the measurement of subjective well-being: its indicators vary and are interconnected in different ways with the employment type, have different significance for workers, which may differ not only in the level of subjective well-being, but in the nature of interconnection of its indicators. Another block of methodological difficulties is associated with the classification of workers and their differentiation. Even with the same contract type they are heterogeneous not only in terms of employment conditions, but also in motives and in the nature of subjective well-being. The study of the relationship between the employment type and the subjective well-being of workers requires the development of methodological solutions, including the selection of an informative indicators of subjective well-being, taking into account the structure of the relationship between them, as well as the study of the differentiation of workers and the reconstruction of social types among them.


2003 ◽  
Vol 19 (2) ◽  
pp. 117-123 ◽  
Author(s):  
Gisli H. Gudjonsson ◽  
Jon Fridrik Sigurdsson

Summary: The Gudjonsson Compliance Scale (GCS), the COPE Scale, and the Rosenberg Self-Esteem Scale were administered to 212 men and 212 women. Multiple regression of the test scores showed that low self-esteem and denial coping were the best predictors of compliance in both men and women. Significant sex differences emerged on all three scales, with women having lower self-esteem than men, being more compliant, and using different coping strategies when confronted with a stressful situation. The sex difference in compliance was mediated by differences in self-esteem between men and women.


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