The experience of Deviance in the Patient-Role: A Study of Class Differences

1962 ◽  
Vol 3 (4) ◽  
pp. 277 ◽  
Author(s):  
Richard J. Ossenberg
Keyword(s):  
Patient Role ◽  
Class Differences

Identity options: Social class differences in biracial identification

2006 ◽  
Author(s):  
Sarah Townsend ◽  
Stephanie Fryberg ◽  
Hazel Markus ◽  
Clara Wilkins
Keyword(s):  
Social Class ◽  
Class Differences

Conclusion

2017 ◽  
Author(s):  
Ekaterina E. Kozlova
Keyword(s):  
Social Structures ◽  
Social Expectations ◽  
Child Loss ◽  
Class Differences ◽  
Family Based ◽  
Ritual Context

This section considers why ancient communities in crisis deemed sorrowing motherhood as a potent agent in bringing about their preservation. It suggests, for example, that since child loss creates existential limbo for the bereft mother, it can unlock a unique capacity in her for incessant supplications and intercessions. Thus, when groups and individuals were at their most vulnerable, the perpetual destabilization of a bereft mother and the ability to intercede as its outcome were the go-to social tools. Additionally, it considers the ability of mourning rites to transgress normal social expectations and defy class differences. Consequently, within a ritual context bereft mothers could voice uncensored perspectives on personal and collective suffering and on the persons responsible for it. Finally, since Israel used family-based metaphors for its various social structures, it was only natural to appeal to maternal agency, with its emphasis on care and protection, in times of crises.

Anatomization of the systems of dimension relaxation for facial recognition

2020 ◽  
pp. 1-11
Author(s):  
Mayamin Hamid Raha ◽  
Tonmoay Deb ◽  
Mahieyin Rahmun ◽  
Tim Chen
Keyword(s):  
Face Recognition ◽  
Main Idea ◽  
Principal Component ◽  
Feature Space ◽  
Projection Methods ◽  
Data Representation ◽  
Linear Discriminant ◽  
Class Differences ◽  
Underlying Space ◽  
Maximum Variance

Face recognition is the most efficient image analysis application, and the reduction of dimensionality is an essential requirement. The curse of dimensionality occurs with the increase in dimensionality, the sample density decreases exponentially. Dimensionality Reduction is the process of taking into account the dimensionality of the feature space by obtaining a set of principal features. The purpose of this manuscript is to demonstrate a comparative study of Principal Component Analysis and Linear Discriminant Analysis methods which are two of the highly popular appearance-based face recognition projection methods. PCA creates a flat dimensional data representation that describes as much data variance as possible, while LDA finds the vectors that best discriminate between classes in the underlying space. The main idea of PCA is to transform high dimensional input space into the function space that displays the maximum variance. Traditional LDA feature selection is obtained by maximizing class differences and minimizing class distance.

Using a Person-Centered Approach to Identify Patterns of Exposure to Intimate Partner Violence and Child Abuse in Women: Associations With Mental Health

2021 ◽  
pp. 107755952110316
Author(s):  
Bre’Anna L. Free ◽  
Alexandra J. Lipinski ◽  
Rivian K. Lewin ◽  
Rimsha Majeed ◽  
Rebecca J. Zakarian ◽  
...  
Keyword(s):  
Mental Health ◽  
Intimate Partner Violence ◽  
Child Abuse ◽  
Partner Violence ◽  
Depressive Disorders ◽  
Latent Class ◽  
Intimate Partner ◽  
Health Conditions ◽  
Mental Health Conditions ◽  
Class Differences

Patterns of exposure to intimate partner violence (IPV) and child abuse (CA) were explored in 467 women seeking psychological assistance following IPV. Using latent class analysis, three classes were obtained: women who had experienced physical, sexual, and psychological IPV, along with childhood physical and sexual abuse (IPV + CA; 38.5%); women who had experienced physical, sexual, and psychological IPV only (IPV/no CA; 52.9%); and women who had experienced psychological IPV only (Psych IPV only; 8.6%). Associations of class membership with severity of specific mental health conditions were examined, along with the number of diagnosed conditions. Significant between-class differences were noted on severity of IPV-related posttraumatic stress disorder, depressive disorders, alcohol and substance use disorders, and social phobia. Classes also differed significantly on the number of mental health conditions. Understanding patterns of betrayal-based trauma (e.g., IPV and CA) can inform care within agencies that serve IPV survivors by highlighting individuals at-risk for mental health conditions.

scholarly journals Contour Detection for Fibre of Preserved Szechuan Pickle Based on Dilated Convolution

2019 ◽  
Vol 9 (13) ◽  
pp. 2684 ◽  
Author(s):  
Hongyang Li ◽  
Lizhuang Liu ◽  
Zhenqi Han ◽  
Dan Zhao
Keyword(s):  
Edge Detection ◽  
State Of The Art ◽  
Contour Detection ◽  
Experimental Results ◽  
Contour Method ◽  
Class Differences ◽  
Dilated Convolution ◽  
The Mean ◽  
Art Performance

Peeling fibre is an indispensable process in the production of preserved Szechuan pickle, the accuracy of which can significantly influence the quality of the products, and thus the contour method of fibre detection, as a core algorithm of the automatic peeling device, is studied. The fibre contour is a kind of non-salient contour, characterized by big intra-class differences and small inter-class differences, meaning that the feature of the contour is not discriminative. The method called dilated-holistically-nested edge detection (Dilated-HED) is proposed to detect the fibre contour, which is built based on the HED network and dilated convolution. The experimental results for our dataset show that the Pixel Accuracy (PA) is 99.52% and the Mean Intersection over Union (MIoU) is 49.99%, achieving state-of-the-art performance.

The Prognosis of Depression in Old Age

1983 ◽  
Vol 142 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Elaine Murphy
Keyword(s):  
Life Events ◽  
Life Stress ◽  
Intimate Relationship ◽  
Class Differences ◽  
Poor Outcome ◽  
Physical Health Problems ◽  
The Face ◽  
One Year ◽  
Severe Life Events

SummaryThe paper describes a one year prospective study of 124 elderly depressed patients. Only one third of the group had a good outcome. Poor outcome was associated with severity of initial illness, those with depressive delusions having a particularly poor outcome. Outcome was also influenced by physical health problems and severe life events in the follow-up year. Social class differences in outcome were thought to be due to class differences in the experience of severe life events. There was no evidence that an intimate relationship protected against relapse in the face of continuing life stress.

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