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Osman Mazlumun şiirlerınde ve hoyratlarında kötümserlik duyguları The Pessimistic Feelings in Ottoman Madhalom 's Al- Khouairatand poetry
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Irak Türkmen edebiyatının divan şiirlerinde büyük simalardan sayılan , ve

Irak Türklerinin en içli şairi olan Osman Mazlum .Şiirleri yalnızlık hem ve kederle

dolu olan şairin , her zaman büyük bir üzüntüye kablandığı için bunun tüm

şiirlerinde yansıtmıştır . Her zaman kaderden şikayetci olan şiirlerinde (Mazlum)

mahlasını kullanmıştır . Şairin klasik edebiyatında önemli bir yeri vardır . Hoyrat

yoluyla edebiyata giren mazlum'un gönül yarası bu aşıkla dolunca feyizlenmeye

ve türlü nağmelerle seslenmeğe başladı . İşte bu güne kadar yazmış olduğu şiirler

o sesler hep ahang , terennüm ve tesavırıdır . Bende bu araştırmada ilk önce

şairin hayatına , edebi kişiliğine ve eserlerine baş vurduktan sonra şairin

kötümserlik ve acı duygularını da osmanlı şiirleriyle ve hoyratlarıyla yeni

Türkçeye çevirerekaçıkladım . Son olarak bu araştırmanın okuyucularına yararlı

olmasını dilerim .

Abstract

Ottman belonges to the approach of melancholy in the modern Turkish poetry. He complained his miserable luck ,which accompanied him along his life. And he descended from great ancestries.

  He was born in 1922 in Kirkuk. His parents are Turkish, his father belonges to the Turkmen tribe Al-Biat. He entered Al-Kuttab (before school), and then he entered the primary school till finishing his high school. Then he joined college of law and he got  his Bachelor in arts in  1956 .He worked in offices of ministry of Justice and then he retired.

    Madhalom faced misteries and agonies in his academic, workable life, and other thing. He didn’t get the benefit of his bachelor in Law. The poet didn’t achieve his goals and expectations in spite of his certification, knowledge, and honesty. He  worked in agriculture and other jobs, but he was disappointed at every times. Accordingly, his writing was influenced by his pessimistic point of view. Sometimes his disappointment became firstly and deprived him of fulfilling his wishes, and in other times it pulled him back.

In Turkish literature, Madhalom considered as the last poet who used prosody in the language of court. He longed for Arabic prosody. He announced that in spite of prosody difficulty,t it was the best model for poetry. In addition to his poetry , he was distinguished by writing Al-Kwareet  which included Proverbs, wise sayings, and Ghazal. And he was the only one who joined Al-Kwareet to national meanings.

    He regarded as the poet of hopelessness and despair as much as the poet of home and society and this we can see in his poetry as well as in his chaste poems. In Al-Ghazal poems, he revealed the feelings of a lover and be contrastive of choosing rhetorical words and added an aesthetic touch. Then the poem be in touch with the heart and affecting.

The research deals with pessimistic feelings in addition to the poets' life, literary personality, and his  poetry of Ghazal. The researcher transformed his poems and hıs Khouairat from the  Ottoman language to  the modern Turkish in Latin .

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Publication Date
Sat Jan 24 2026
Journal Name
Journal Of Baghdad College Of Economic Sciences University
توظيف القدرات المعرفية الدينامية لتحقيق تنافسية الاعمال بحث تطبيقي في مصانع الالبان
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يهدف البحث الى قياس مستوى ارتباط وتأثير القدرات المعرفية الدينامية في تنافسية الاعمال، وتكونت العينة من (155) فردا في اربعة مصانع للالبان في بغداد وهي (ابو غريب، والزراعة، والحلال، وعيون الرافدين) اذ تمثل مجتمع البحث من اصحاب المصانع، والمديرين والعاملين في السيطرة النوعية والبحث والتطوير والمهندسين والفنيين والعاملين ذوي الخبرة في صناعة الالبان. وجرى تحليل البيانات واختبار الفرضيات باستخدام الادوات الإحصا

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Publication Date
Sun Jun 20 2021
Journal Name
Baghdad Science Journal
Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers
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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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