Modern American elegy reveals a change in the attitude of mourning from the traditional lamenting approach to some antielegiac attitudes towards the mourned figure. Many American poets have lamented the pass away of the stately figure of the father. However, some poets attack their dead father, and ridiculed him in a poem that is intended to be an elegy, instead of showing passion, homage and love to him. In this regard, two poetic attitudes to the father can be traced in modern American poetry. The first one takes the form of tributes and praise, offering great admiration, compassion, and love for the father. For these poets, a father is an inspiration. The second voice develops some anger and contempt against the patriarchal authority embodied in the father. These attitudes are manifested and incarnated in selected elegies by Mark Strand (1934- 2014) and Sharon Olds (1942- ). This paper investigates the attitude towards the mourned father as expressed by each of them in some of their elegies.
Student performance may influence by several factors in all his study levels such as primary school, intermediate school and even in his college; some of these factors are psychological factors, social factors, and the factors which correlate with student environment.
In this paper we study some of these factors to discover their influence by using canonical correlation analysis to analyze the data. Many conclusions are discovered to help who focuses student performance or to make it pest in future.
Maxillofacial trauma in females is not widely reported. This study aimed to analyze the clinical characteristics and the patterns of maxillofacial injuries in females and to determine the differences in these patterns among different causes. This retrospective study analyzed several variables, including demographic, social, injury-related, and treatment-related variables, and compared these variables in relation to the main etiologies of maxillofacial trauma. The main etiologies of maxillofacial injuries involving females were assault, followed by road traffic accidents, and falls. There were significant differences in relation to the 3 etiologies in age groups (
Background: Irrigation of the canal system permits removal of residual tissue in the canal anatomy that cannot be reached by instrumentation of the main canals so the aim of this study was to compare and evaluate the efficiency of conventional irrigation system, endoactivator sonic irrigation system,P5 Newtron Satelec passive ultrasonic irrigation and Endovac irrigation system in removing of dentin debris at three levels of root canals and to compare the percentage of dentin debris among the three levels for each irrigation system. Materials and methods: Forty extracted premolars with approximately straight single root canals were randomly distributed into 4 tested groups of 10 teeth each. All canals were prepared with Protaper Universal ha
... Show MoreThis study aims to show some of Imam Al-Bukhari's criticism of the Hadith from the Metn side, and part of his methodology in dealing with the correct hadiths that are tainted by a bug. This research focuses on what Imam Al-Bukhari summarized in his Sahih illusion of the narrator in his attribution, or uniqueness of the narrator, or to suggest a novel. We find that Bukhari sometimes abbreviates the hadeeth, and does not bring it out completely in his Sahih. He is satisfied with the abbreviated position but has done so because of a bug in it. The Bukhari usually does not declare his intention but knows this through tracking, inspection, and research of the correct hadiths.
Some of the main challenges in developing an effective network-based intrusion detection system (IDS) include analyzing large network traffic volumes and realizing the decision boundaries between normal and abnormal behaviors. Deploying feature selection together with efficient classifiers in the detection system can overcome these problems. Feature selection finds the most relevant features, thus reduces the dimensionality and complexity to analyze the network traffic. Moreover, using the most relevant features to build the predictive model, reduces the complexity of the developed model, thus reducing the building classifier model time and consequently improves the detection performance. In this study, two different sets of select
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