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Black Lives Matter in Brother: A Postcolonial Perspective
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This study aims to examine how the lives of blacks are reduced and eliminated in Brother (2017) by David Chariandy. Black Lives Matter is a hash tag that appears after the killing of Trayvon Martin (17 years old African American) in 2012 by the savage hands of George Zimmerman (white person). This hash-tag has become a social movement that calls for equality in order to stop the violence against black people because their live is as valuable as white’s. The movement comes into being to highlight the “hypocritical democracy in service to the white males whose freedom are openly depended upon the oppression of blacks” (Lebron, 2017, P. 1). Those who have started this movement try to redeem a state and its arbitrary actions against black who are exterminated since the slavery. Alicia Graza, Patrisse Cullors, and Opal Tometi have established this movement to reveal the suffering of the blacks who have no rights to live their life. Chariandy is a Canadian writer who specialized in Caribbean literature, black diaspora, and postcolonial studies. The novel is analyzed through Kimberlé Crenshaw’s concept (intersectionality) to show how the race, gender, and class are intersecting together to emphasize how the human beings will be treated accordingly.

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Publication Date
Fri Oct 02 2026
Journal Name
Advances In Environmental Biology
A study effect of thyme on biochemical and histological changes in liver of male rats
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Publication Date
Sun Apr 03 2011
Journal Name
لمؤتمر العلمي الرابع لكلية التربية/ جامعة سامراء
A comparison between alanine aminopeptidase (AAP) activity in type 2 diabetes and diabetic cardiac patients.
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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
A Destructive Parenthood : The Problematic Motherhood in Selected Poems by Salvia Plath: Fatin Kaleel Ismael
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A Destructive Parenthood : The Problematic Motherhood in Selected Poems by Salvia Plath

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Publication Date
Sat Jun 01 2024
Journal Name
Pakistan Journal Of Criminology
Artificial Intelligence Technology in the Field of Modern Forensic Evidence: Brain Fingerprinting as a Model
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Brain Fingerprinting (BF) is one of the modern technologies that rely on artificial intelligence in the field of criminal evidence law. Brain information can be obtained accurately and reliably in criminal procedures without resorting to complex and multiple procedures or questions. It is not embarrassing for a person or even violates his human dignity, as well as gives immediate and accurate results. BF is considered one of the advanced techniques related to neuroscientific evidence that relies heavily on artificial intelligence, through which it is possible to recognize whether the suspect or criminal has information about the crime or not. This is done through Magnetic Resonance Imaging (EEG) of the brain and examining

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Publication Date
Wed May 01 2024
Journal Name
Clinical Epidemiology And Global Health
Systemic and cutaneous side effects of COVID-19 vaccines in Iraq, A cross-sectional study
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Publication Date
Wed Jun 14 2023
Journal Name
Al-academy
Expressive Topics in Plastic Art Achievement A comparative study between Gustav Klimt and Star Kauusch
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 Schools and artistic trends derive their themes from artistic styles and styles as methods followed by the artist to express his themes embodied in the values of artistic and plastic elements as symbols and signs that can be described according to the type of art school and the extent to which the artist is influenced in employing them as a goal to achieve the plastic achievement in the painting, and from those vocabulary (human beings nature Life) as encoded messages that have an appearance and an interior, the appearance of which are forms, colors, formats and distributions of space and their interior meanings and semantics embody attitudes, events and circumstances that stem from the social depth and daily life and derive their comp

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Publication Date
Sun Mar 15 2020
Journal Name
Journal Of The College Of Education For Women
General Conditions of Women in Ibn al-Jawzi’s Book Safwat Al-Safwa: A Historical Study
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The research aims at the scholars’attention to the importance and role of Arab Muslim women through books and historical studies that historians and scholars have taken up like Ibn Al-Jawzi (597 AH) and his book Safwat Al-Safwa,  where he presented the conduct of worship and their words and deeds, and explained to women worshipers other aspects of their lives, such as the scientific aspect Crafts and works as well as their prominent role in preaching and religious guidance, and the impact of this on their morals and qualities. This study showed the strength of the personality of women and their high interest in worship. The importance of the study lies in knowledge.The research followed the role of Muslim women to carry t

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Publication Date
Thu Mar 30 2023
Journal Name
Al-mustansiriyah Journal Of Science
CA72-4 as a Promising Prognostic and Diagnostic Biomarker in Iraqi Patients with Colorectal Cancer
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Colorectal cancer (CRC), the second most fatal cancer and the 3rd most common cancer is expected to cause 0.9 million deaths globally in 2025. Carcinoembryonic antigen (CEA) is currently used in the follow-up of patients with colorectal cancer, and in this study, we are trying to find a better marker than CEA in following up on patients' health and knowing the effectiveness of the treatment used and as a diagnostic marker for colorectal cancer. To determine the significance of Cancer antigen 72-4 (CA72-4) as a prognosis predictor in patients with colorectal cancer, compare its prognostic validity to the CEA biomarker. this case-control study includes (150) participants, 100 patients (59 males and 41 females), and 50 healthy controls

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Publication Date
Tue Aug 15 2023
Journal Name
Journal Of Current Researches On Social Sciences
An Examination of Discourse Investigation of Fallacies in Religious Texts: Islam as a Case Study
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BN RASHİD, 2023

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Publication Date
Thu Oct 13 2022
Journal Name
Computation
A Pattern-Recognizer Artificial Neural Network for the Prediction of New Crescent Visibility in Iraq
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Various theories have been proposed since in last century to predict the first sighting of a new crescent moon. None of them uses the concept of machine and deep learning to process, interpret and simulate patterns hidden in databases. Many of these theories use interpolation and extrapolation techniques to identify sighting regions through such data. In this study, a pattern recognizer artificial neural network was trained to distinguish between visibility regions. Essential parameters of crescent moon sighting were collected from moon sight datasets and used to build an intelligent system of pattern recognition to predict the crescent sight conditions. The proposed ANN learned the datasets with an accuracy of more than 72% in comp

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