Racism is a serious issue that impacts a lot of people around the world. Since slavery days, racial discrimination has been increasing to abhorrent levels in relation to black people. The aim of individual psychology by Alfred Adler is to study human behaviour by situating it in the social context which makes his writing ideal to explanation of racism. This paper aims to study racism in Roy Williams’ Fallout from the perspective of Alfred Adler’s theory. Alfred Adler's individual psychology emphasizes the importance of social factors in shaping individual behavior, including the ways in which individuals form their sense of self and identity. This makes it a valuable framework for understanding the complex social and psychological factors that underpin racism. Through Adler's lens, one can examine how racist beliefs and behaviors are often rooted in feelings of inferiority or insecurity, as well as in broader social and cultural contexts that reinforce racial hierarchies and stereotypes. Roy Williams' Fallout provides a compelling case study for applying Adler's theory to the issue of racism. Set in the aftermath of a racial controversy of child’s murder, the play explores the complex interplay between individual psychology, social structures, and cultural norms that contribute to racism and perpetuate its harmful effects. By analyzing the characters' motivations, emotions, and behaviors through the lens of Adler's theory, one can gain a deeper understanding of the psychological and social dynamics that drive racism and perpetuate inequality. This study asks the question of what causes racism in social settings, is it something innate or aggravated inside people by outside forces? Black-on –Black Bullying in Roy Williams’ Fallout This study also argues that the bullying of individuals on the basis of their sex or race remains an aspect of Fire Service culture and is perpetuated by some to ensure the continuation of the white male culture.
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Objectives: The study aims to investigate the efficiency of physiotherapy methods to improve the
degree of the clinical recovery of the peripheral facial palsy.
Methodology: This study is carried out at the Rehabilitation Center-Baghdad from November 2009 till
March 2010. This study includes (40) patient, their ages are from (13) to (55) years old; (24) male and
(16) female with unilateral facial palsy of undetermined cause. House-Brackmann facial recovery
scores have been used before and after the physiotherapy treatment.
Results: The results show that the physiotherapy sessions obtained the best effect of the electrical
stimulation, exercises and massage in the treatment of facial palsy. Highly respondents in femal
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<p>In combinatorial testing development, the fabrication of covering arrays is the key challenge by the multiple aspects that influence it. A wide range of combinatorial problems can be solved using metaheuristic and greedy techniques. Combining the greedy technique utilizing a metaheuristic search technique like hill climbing (HC), can produce feasible results for combinatorial tests. Methods based on metaheuristics are used to deal with tuples that may be left after redundancy using greedy strategies; then the result utilization is assured to be near-optimal using a metaheuristic algorithm. As a result, the use of both greedy and HC algorithms in a single test generation system is a good candidate if constructed correctly. T
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Type 2 diabetes mellitus (T2DM) is the most frequent endocrinal disease commonly associated with thyroid disorders .The study is conducted at the Specialized Center for Endocrinology and Diabetes in Baghdad ,during December 2014 up to October 2015.This study was done to investigate the prevalence of anti- thyroid peroxidase (Anti-TPO) antibody in patients suffered from type 2 diabetes with thyroid disorders .The study groups included a total number of 80 subjects consisting of 60 type 2 diabetic patients divided into 20 hyperthyroidism subjects (group 1) ,20 hypothyroidism subjects (group 2), 20 euthyroidism subjects (group 3) and 20 healthy controls (group 4) . The fasting blood samples were analyzed for (T3,T4,TSH) by using Vitek Immuno d
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Heart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. The work study assesses the efficac
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Wireless Body Area Sensor Networks (WBASNs) have garnered significant attention due to the implementation of self-automaton and modern technologies. Within the healthcare WBASN, certain sensed data hold greater significance than others in light of their critical aspect. Such vital data must be given within a specified time frame. Data loss and delay could not be tolerated in such types of systems. Intelligent algorithms are distinguished by their superior ability to interact with various data systems. Machine learning methods can analyze the gathered data and uncover previously unknown patterns and information. These approaches can also diagnose and notify critical conditions in patients under monitoring. This study implements two s
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