Contemporary British Theatre, Democracy and Affect: States of Feeling

2021 ◽  
pp. 149-170
Author(s):  
Cristina Delgado-García
Keyword(s):  
Affect States

Detecting Affect States Using VGG16, ResNet50 and SE-ResNet50 Networks

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Dhananjay Theckedath ◽  
R. R. Sedamkar
Keyword(s):  
Affect States

Peacekeeper Fatalities and Force Commitments to UN Operations

2019 ◽  
pp. 073889421881881 ◽  
Author(s):  
Andrew Levin
Keyword(s):  
Peacekeeping Operations ◽  
Un Peacekeeping ◽  
Negative Effect ◽  
Affect States

To what extent do peacekeeper fatalities affect states’ contributions to UN operations? While the deaths of peacekeepers are thought to be a factor in states’ decisions to reduce the magnitude of their participation in a mission, not all states respond similarly to peacekeeper fatalities. I hypothesize that democracies and wealthy countries are likely to be more sensitive to peacekeeper deaths than their non-democratic and poorer counterparts. Analyses of UN peacekeeping operations between 1990 and 2011 confirm that peacekeeper fatalities generally have a negative effect upon the size of countries’ contributions to peacekeeping operations, and that wealthy countries are likely to make larger decreases to their contributions than poorer countries. There is less evidence, however, that democracies are more sensitive to peacekeeper fatalities than non-democracies.

scholarly journals Interference with Processing Negative Stimuli in Problematic Internet Users: Preliminary Evidence from an Emotional Stroop Task

2018 ◽  
Vol 7 (7) ◽  
pp. 177 ◽  
Author(s):  
Adriano Schimmenti ◽  
Vladan Starcevic ◽  
Alessia Gervasi ◽  
Jory Deleuze ◽  
Joël Billieux
Keyword(s):  
Stroop Task ◽  
Experimental Studies ◽  
Preliminary Evidence ◽  
Emotional Stroop ◽  
Emotional States ◽  
Emotional Stroop Task ◽  
Internet Users ◽  
Negative Feelings ◽  
Affect States ◽  
Negative Stimuli

Although it has been proposed that problematic Internet use (PIU) may represent a dysfunctional coping strategy in response to negative emotional states, there is a lack of experimental studies that directly test how individuals with PIU process emotional stimuli. In this study, we used an emotional Stroop task to examine the implicit bias toward positive and negative words in a sample of 100 individuals (54 females) who also completed questionnaires assessing PIU and current affect states. A significant interaction was observed between PIU and emotional Stroop effects (ESEs), with participants who displayed prominent PIU symptoms showing higher ESEs for negative words compared to other participants. No significant differences were found on the ESEs for positive words among participants. These findings suggest that PIU may be linked to a specific emotional interference with processing negative stimuli, thus supporting the view that PIU is a dysfunctional strategy to cope with negative affect. A potential treatment implication for individuals with PIU includes a need to enhance the capacity to process and regulate negative feelings.

Sexual Desire and the Phenomenology of Attraction

Dialogue ◽  
2014 ◽  
Vol 54 (2) ◽  
pp. 263-283
Author(s):  
BRADLEY RICHARDS
Keyword(s):  
Sexual Arousal ◽  
Sexual Desire ◽  
Sexual Attraction ◽  
Sexual Activities ◽  
Sexual Desires ◽  
Affect States ◽  
Phenomenal States

Developing Thomas Nagel’s 1969 paper, Rockney Jacobsen argues that sexual desires are for activities that are taken to affect states of sexual arousal in certain ways. I argue that some sexual desires are for activities that are taken to affect states of phenomenal attraction (phenomenal states associated with sexual attraction). Unlike sexual arousal, phenomenal attraction cannot be assuaged; thus, there are no activities that can satisfy phenomenal attraction-based sexual desires. This explains why sexual activities are so varied and numerous, and possibly how so many activities are able to affect sexual arousal.

Behavioral Problems and Interventions in Alzheimer's Disease: Research Needs

1996 ◽  
Vol 8 (S1) ◽  
pp. 95-98 ◽  
Author(s):  
M. Powell Lawton
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Behavioral Problems ◽  
Daily Living ◽  
Behavioral Interventions ◽  
Environmental Aspects ◽  
Disease Research ◽  
Positive Behaviors ◽  
Affect States

This article will discuss briefly the definitions of behavior problems and behavioral interventions. Next, the following series of intervention points related to the quality of life of patients with Alzheimer's disease (AD) will be considered: cognition, activities of daily living (ADLs), agitation, social behavior, nonsocial positive behaviors, and affect states. The article concludes with a discussion of three areas dealing with environmental aspects of AD care: the design of environments, effects of AD on social context, and AD in planned housing.

scholarly journals Affect State Classification from Face Segments using Resnet-50 and SE-Resnet-50

2020 ◽  
Vol 9 (3) ◽  
pp. 117-122
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Sufficient Information ◽  
Lower Segment ◽  
Facial Region ◽  
The Face ◽  
Full Face ◽  
The Right ◽  
Affect States ◽  
Affect State

One of the important components of an intelligent Human computer Interface system is accurate classification of the various affect states. Such interface systems are however plagued by a recurring problem of image occlusion. The challenge hence is to be able to classify the various affect states accurately from whatever portions of the face are available to the system. This paper attempts to investigate if there are segments within the facial region which carry sufficient information about the affect states. In this paper we have used two pre-defined Convolutional Neural networks (CNN). We have implemented a ResNet-50 network and a modified version of ResNet-50 which has a Squeeze and Excitation network connected to ResNet-50. This is called SE-ResNet-50. We use these two networks to classify seven basic affect states of Angry, Contempt, Disgust, Fear, Happy, Sad and Surprise from various segments of the face. We partition the face into four regions with each region comprising of only 50% of the original data. The results obtained are compared with that obtained using the full face. The validation accuracy values are obtained for full face as well as the four segments of the face. The paper also calculates precision and recall for each partitioned area for each of the affect states using the two networks. Our evaluation shows that both, ResNet-50 as well as SE-ResNet-50 are successful in accurately classifying all the 7 affect state from the Right segment, Left segment Lower segment and Upper segment of the face. While ResNet-50 performs marginally better compared to the SE-ResNet-50 in identifying the various affect states form the right, left and lower segments of the face, SE-ResNet-50 performs better in identifying the affect states from the upper segment of the face. We can thus conclude that right segment, left segment, lower segment and upper segments of the face contain sufficient information to correctly classify the seven affect states. The experimental results presented in this paper show that pre-defined Convolutional Neural Networks gives us very high accuracy, precision and recall values and hence can be used to accurately classify affect states even when there are occlusions present in the image and only certain portions of the face are available for analysis.

scholarly journals Depression Dynamics Across a Decade: Daily Affective Experience and Yearly Depressive Symptomatology

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 607-607
Author(s):  
Raquael Joiner ◽  
C S Bergeman ◽  
Lijuan Wang ◽  
Guangjian Zhang ◽  
Kristin Valentino
Keyword(s):  
Depressive Symptoms ◽  
Individual Differences ◽  
Dynamic Systems ◽  
Depressive Symptomatology ◽  
Empirical Work ◽  
Individual Level ◽  
Intraindividual Change ◽  
Systems Perspective ◽  
Micro Level ◽  
Affect States

Abstract Recent conceptualizations of depression and supporting empirical work suggests that elevations and allievations of depressive symptoms can be understood from a dynamic systems perspective. Specifically, depression is proposed to result from strong-feedback loops in a system comprised of highly interdependent component parts (e.g., affect states). Supporting this perspective, individual differences in emotional interia and strong connections across emotions at micro-level timescales have been consistently associated with individual differences in depressive symptomatology such that individuals with greater emotional inertia and cross-emotion relations show higher levels of depressive symptoms. Importantly, however, individual differences do not necessarily translate to intraindividual change. The present study explores whether emotional connectivity at the daily timescale differs within individuals across a ten-year span and how these associations relate to intraindividual changes in depressive symptomatology. The results of these individual-level analyses will help further a dynamic systems perspective of depression and help inform clinical interventions for depression.

scholarly journals Disentangling dynamic affect trajectories for distinct depression courses during the COVID-19 pandemic

2021 ◽  
Author(s):  
Gabriela Lunansky ◽  
Ria H. A. Hoekstra ◽  
Tessa Blanken
Keyword(s):  
Negative Affect ◽  
Positive Affect ◽  
Network Models ◽  
Well Being ◽  
Positive And Negative Affect ◽  
Single Measurement ◽  
Daily Lives ◽  
Boston College ◽  
Measurement Moment ◽  
Affect States

Background. Why does adversity lead to mental health complaints in some, but not others? Individual differences in the development of depressive complaints are related to the regulation of affect states. The COVID-19 pandemic has caused a prolonged period of perturbations to the daily lives of people across the globe, providing an unparalleled opportunity to investigate how fluctuations in positive and negative affect relate to the evolution of mood complaints.Methods. 228 participants from the Boston College daily sleep and well-being survey completed at least 20 assessments of positive and negative affect and depression complaints between March 20th 2020 and June 26th 2020. We explored affect trajectories throughout this period and estimated longitudinal multilevel network models. Furthermore, we investigated how individual network structures relate to changes in depression severity over time.Results. On average, positive affect was reported somewhat higher than negative affect. However, when separating affect trajectories based on the individuals’ depressive complaints, we identified that individuals consistently experiencing depressive complaints report higher levels of negative affect compared with positive affect. Contrary, individuals consistently reporting no depressive complaints show opposite results. Furthermore, we found many and strong associations in the multilevel network between the distinct affect states and depressive complaints. Lastly, we established that the higher the connectivity of an individual’s network, the larger their change in depressive complaints is.Conclusions. We conclude that affect fluctuations are directly related to the development of depressive complaints, both within- and across individuals, and both within a single measurement moment and over time.

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