Loud noise can be extremely harmful to the auditory system as well as to human health. Noise pollution is primarily caused by traffic noise. The study's goal was to determine how various vehicle types and speeds affected the amount of noise generated by traffic. The two factors were investigated at seven different arterial streets throughout Kirkuk city to measure the noise levels. The measurements were performed during peak hours to compare the result with WHO standards for noise specification. Traffic volume and vehicle speed are shown to be the key elements that determine an increase in noise level. 

This article aims to investigate how war contributes to the pollution of water bodies with harmful substances including heavy metals and toxic substances. The paper explains how these pollutants, carelessly dumped by military operations, have severely damaged the water quality of rivers and lakes all across Iraq. Based on the Jassim River as case study, the paper shows a close relationship between military operations and pollution. Shown is the effects of this pollution on local ecosystems like fish and wildlife, and human population, dependent on the river for drinking, irrigation, and other basic needs. The article reveals the problem of military waste in Iraq, focusing on the absence of satisfactory waste disposal techniques and

      In the present paper, the features of democratization of vocabulary in the language of mass media are tackled. Particularly, the functions of this phenomenon in the context of language as an ontological reality are analysed. As well, the growing role  of the language of the media, and the language of politics as an integral part pertaining to it, is noted. Further, attention is paid to the excessive saturation of the language of the media along with the literary language, by means of evaluation which may include negative results.

     In this concern, scholars had different views, specifically in relation to the use of colloquial vocabulary along with some vernacular profess

The creative production of the philosophy of beauty in artistic works constitutes a step towards development and progress by meeting the growing and changing needs of humanity according to various factors, including those related to the human situation and others related to technical outputs, as well as the multiplicity of the field for the emergence of new artistic currents and movements concerned with graphic production and communication and communication processes that It is associated with imagination and freedom from social and cultural constraints, in which the design production seeks to link more realistic intellectual contents with the achievements of the creative artwork as a communication system to involve the recipient (the vi

Reconstruction of female identity is one of the important issues in modern times. The majority of the females who descent from the countries of the third world confront lots of problems because of their race and gender. Black females or colored skin females because of the oppression of the white society upon them, try hard to cope with society in order to get some relief and feel that they are part of this cruel white society. One of the solutions for these black females is to reconstruct their identity by mimicry to the English beauty standards. Zadie Smith is a postcolonial author. She deals with third- world women and how they are treated in a minority and in a racist way. She strives to empower the subaltern black females who ha

The field of autonomous robotic systems has advanced tremendously in the last few years, allowing them to perform complicated tasks in various contexts. One of the most important and useful applications of guide robots is the support of the blind. The successful implementation of this study requires a more accurate and powerful self-localization system for guide robots in indoor environments. This paper proposes a self-localization system for guide robots.  To successfully implement this study, images were collected from the perspective of a robot inside a room, and a deep learning system such as a convolutional neural network (CNN) was used. An image-based self-localization guide robot image-classification system delivers a more accura