Preferred Language
Articles
/
dxiKKZUBVTCNdQwC4ylb
A Review and Bibliometric Analysis of the Current Studies for the 6G Networks
...Show More Authors

Scopus Clarivate Crossref
View Publication
Publication Date
Wed Jan 13 2021
Journal Name
Palarch's Journal Of Archaeology Of Egypt / Egyptology
A WEIGHTED MEASUREMENT TO DIAGNOSED REASONS OF THE LOW SUCCESS RATIOS IN MATHEMATIC SUBJECT FOR THE THIRD INTERMEDIATE SCHOOLS AMONG A SAMPLE IN IRAQ
...Show More Authors

Objective: To suggest a weighted measure to diagnose the reasons for the low student success ratios in mathematics concerning the third grade of intermediate schools in light of components educational system represented by: [Students, Teachers, Curriculum, and Environmental reasons (others reasons)] assuming differentiated and interrelated components, Also the effectiveness forming of these components according to the gender variable. Methods: Data collection tools were prepared by constructing two questionnaires for each of (Students and Teachers), which included a number of items that involved some domains for studied components of educational system, which demonstrated a high level of validity and reliability in the pilot study, in addi

... Show More
View Publication Preview PDF
Publication Date
Sun May 01 2022
Journal Name
Journal Of Engineering
Estimating Pitting Corrosion Depth and Density on Carbon Steel (C-4130) using Artificial Neural Networks
...Show More Authors

The purpose of this research is to investigate the impact of corrosive environment (corrosive ferric chloride of 1, 2, 5, 6% wt. at room temperature), immersion period of (48, 72, 96, 120, 144 hours), and surface roughness on pitting corrosion characteristics and use the data to build an artificial neural network and test its ability to predict the depth and intensity of pitting corrosion in a variety of conditions. Pit density and depth were calculated using a pitting corrosion test on carbon steel (C-4130). Pitting corrosion experimental tests were used to develop artificial neural network (ANN) models for predicting pitting corrosion characteristics. It was found that artificial neural network models were shown to be

... Show More
View Publication Preview PDF
Crossref
Publication Date
Thu Aug 03 2023
Journal Name
Cogent Arts &humanities
An Ecostylistic Analysis of Selected Extracts from Michael Punke’s Novel The Revenant
...Show More Authors

.

View Publication
Scopus (1)
Scopus
Publication Date
Thu Dec 01 2022
Journal Name
مجلة األستاذ للعلوم اإلنسانية واالجتماعية
THE ANALYSIS OF SEMANTIC MACRO STRUCTURE IN WHO SPEECHES DURING CORONA VIRUS
...Show More Authors

Publication Date
Mon Jan 02 2017
Journal Name
Al-academy
Aesthetic art of stained glass in the middle Ages Study (historical analysis)
...Show More Authors

This paper deals with the role of the clergy in the Church and artists in the emergence of this art, which is represented by an atmosphere of spiritual, aesthetic, artistic, technical and engineering very magnificence and is located in two Find.Chapter One: the stages of stained glass in the Middle AgesThe Architects Goths to get rid of the walls gradually, based Baloctav plane, columns and beams strengthened with the vehicle, as previously mentioned, making the building looks like a glass of excessive use of colored windows building, this art has been known to the art of stained glass And the second chapter: the stages of stained glass in the Middle Ages Department of Winston (Winston) works of stained glass since its inception in the t

... Show More
View Publication Preview PDF
Crossref
Publication Date
Mon Sep 30 2024
Journal Name
Nasaq
A Semiotic Analysis Of Visual-Textual Elements In TobaccoFree Initiative 2021 Advertisements
...Show More Authors

The provided research paper offers a thorough analysis of the semiotic analysis present in tobacco-free initiative advertisements from the year 2021. The study delves into the intricate process of decoding the diverse signs, symbols, and visual components integrated into these anti-smoking campaigns. The core aim of this investigation is to comprehend and explore the semiotic tactics that underlie these advertisements, with a particular emphasis on visual communication as a pivotal tool in shaping the public's attitudes and behaviors towards tobacco usage. The research introduces a significant theoretical framework, the "Taxonomy of Image-Text Relations and Functions" theory, as proposed by Emily E. Marsh and Marilyn Dom

... Show More
Publication Date
Thu Jun 30 2022
Journal Name
Journal Of Current Researches On Educational Studies
Study of Swear Words in Selected Literary Works: A Syntactic-Semantic Analysis
...Show More Authors

BN RASHİD, 2022

View Publication
Publication Date
Sat Jun 01 2024
Journal Name
Journal Of The College Of Languages
A Phono-stylistic Analysis of Utterance Stress in Steve Harvey's talk show
...Show More Authors

patterns of utterance stress in discourse direct attention to specific themes and reactions, controlling the flow and coherence of conversation. this study examines the utterance stress in Steve Harvey's selected episodes from a phono-stylistic perspective. this study is hoped to improve understanding of linguistic mechanism in talk show communication, highlighting the importance of phonetic features in transmitting meaning and increasing broadcast conversation participation. the researcher concentrates on the types of focus functions of utterance stress of some episodes available on YouTube. to conduct the analysis, the researcher adopts (Carr, 2013; Davenport& Hannahs 2005) to analyze utterance stress and Leech and Short (2007

... Show More
Crossref
Publication Date
Wed Jan 01 2020
Journal Name
Indian Journal Of Forensic Medicine And Toxicology
Color stability of different aesthetic resin composite materials: A digital image analysis
...Show More Authors

Scopus (2)
Scopus
Publication Date
Tue Oct 01 2024
Journal Name
Mathematics For Applications
DIRICHLET PROCESS ANALYSIS USING BIORTHOGONAL WAVELET: A STATISTICAL STUDY OF FINANCIAL MARKET
...Show More Authors

The Dirichlet process is an important fundamental object in nonparametric Bayesian modelling, applied to a wide range of problems in machine learning, statistics, and bioinformatics, among other fields. This flexible stochastic process models rich data structures with unknown or evolving number of clusters. It is a valuable tool for encoding the true complexity of real-world data in computer models. Our results show that the Dirichlet process improves, both in distribution density and in signal-to-noise ratio, with larger sample size; achieves slow decay rate to its base distribution; has improved convergence and stability; and thrives with a Gaussian base distribution, which is much better than the Gamma distribution. The performance depen

... Show More
View Publication
Scopus