Information Pollution in Iraqi Journalism…Study in Causes and Sources  - A research drawn from a Master Degree thesis

Hamdan Kidr Al-Salim; Hind  Saaed Aswad; حمدان  خضر السالم; هند سعيد أسود

doi:10.33282/abaa.v11i44.282

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Journal Name

Al–bahith Al–a'alami

Volume

11

Issue Number

44

DOI

10.33282/abaa.v11i44.282

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Information Pollution in Iraqi Journalism…Study in Causes and Sources - A research drawn from a Master Degree thesis

information pollution

data processing

impersonation information

abundance information.

Hamdan Kidr Al-Salim

Hind Saaed Aswad

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Information pollution is regarded as a big problem facing journalists working in the editing section, whereby journalistic materials face such pollution through their way across the editing pyramid. This research is an attempt to define the concept of journalistic information pollution, and what are the causes and sources of this pollution. The research applied the descriptive research method to achieve its objectives. A questionnaire was used to collect data. The findings indicate that journalists are aware of the existence of information pollution in journalism, and this pollution has its causes and resources.

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Publication Date

Sun Jan 10 2016

Journal Name

British Journal Of Applied Science & Technology

The Effect of Classification Methods on Facial Emotion Recognition ‎Accuracy

Facial emotions

feature selection

data clustering

modified K-Means clustering algorithm

LDA algorithm

Statistical classifier

Neural Network

Support Vector Machine (SVM)

Suhaila N.

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The interests toward developing accurate automatic face emotion recognition methodologies are growing vastly, and it is still one of an ever growing research field in the region of computer vision, artificial intelligent and automation. However, there is a challenge to build an automated system which equals human ability to recognize facial emotion because of the lack of an effective facial feature descriptor and the difficulty of choosing proper classification method. In this paper, a geometric based feature vector has been proposed. For the classification purpose, three different types of classification methods are tested: statistical, artificial neural network (NN) and Support Vector Machine (SVM). A modified K-Means clustering algorithm

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Publication Date

Mon Mar 31 2025

Journal Name

Iraqi Statisticians Journal

Hypothesis Testing for Non-Normal Multiple Compact Regression Model

Multiple compact regression model

Bayesian Approach

Bayes Factor

Generalized multivariate transmuted Bessel distribution

Kernel functions

Jaundice percentage in the blood component data.

Ons Edin

Noor Saleem

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Generalized multivariate transmuted Bessel distribution belongs to the family of probability distributions with a symmetric heavy tail. It is considered a mixed continuous probability distribution. It is the result of mixing the multivariate Gaussian mixture distribution with the generalized inverse normal distribution. On this basis, the paper will study a multiple compact regression model when the random error follows a generalized multivariate transmuted Bessel distribution. Assuming that the shape parameters are known, the parameters of the multiple compact regression model will be estimated using the maximum likelihood method and Bayesian approach depending on non-informative prior information. In addition, the Bayes factor was used

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Publication Date

Thu Jul 02 2026

Journal Name

Innovative Construction And Petrochemical Technologies

Improving Arabic Text Classification Accuracy Using Lightweight NLP Techniques

Arabic natural language processing

Arabic text classification

TF-IDF method

Chi-Square feature selection

linear SVM classifier

Logistic Regression

BiLSTM

AraBERT

efficient NLP models

accuracy and efficiency trade-off

Rasha

Safana

Sarah

Reiam

Rusul

Liqaa

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Arabic text classification is a challenging task because of the complex morphology of the language, the existence of different writing forms and a multitude of dialects, which can result in sparser common text representations. While transformer models such as AraBERT have obtained superior results on many Arabic NLP tasks, their high computational requirements make them difficult to deploy in environments with limited hardware resources. In some cases this can also make the model less practical for researchers working with basic computer systems. This study focuses on a more practical issue: how much accuracy a simple classifier may lose when the amount of required computation is reduced. We use a combined TF-IDF representation based on bo

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Publication Date

Fri Sep 18 2026

Journal Name

Journal Of Engineering

Image Compression Using 3-D Two-Level Techniques

Image compression

3-D two level wavelet transform

3-D two level multi-wavelet transform

3-D two level hybrid technique

Image data properties.

Zainab

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In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid (wavelet-multiwavelet transform) technique. Daubechies and Haar are used in discrete wavelet transform and Critically Sampled preprocessing is used in discrete multi-wavelet transform. The aim is to maintain to increase the compression ratio (CR) with respect to increase the level of the transformation in case of 3-D transformation, so, the compression ratio is measured for each level. To get a good compression, the image data properties, were measured, such as, image entropy (He), percent root-

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Publication Date

Mon Jun 05 2023

Journal Name

Journal Of Engineering

Image Compression Using 3-D Two-Level Technique

Image compression

3-D two level wavelet transform

3-D two level multi-wavelet transform

3-D two level hybrid technique

Image data properties

Zainab Ibraheem

...Show More Authors

In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid (wavelet-multiwavelet transform) technique. Daubechies and Haar are used in discrete wavelet transform and Critically Sampled preprocessing is used in discrete multi-wavelet transform. The aim is to maintain to increase the compression ratio (CR) with respect to increase the level of the transformation in case of 3-D transformation, so, the compression ratio is measured for each level. To get a good compression, the image data properties, were measured, such as, image entropy (He), percent r

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Publication Date

Sat Dec 30 2023

Journal Name

Journal Of Economics And Administrative Sciences

The Cluster Analysis by Using Nonparametric Cubic B-Spline Modeling for Longitudinal Data

البيانات الطولية

نموذج الشرائح B-spline التكعيبية اللامعلمية

التحليل العنقودي

طريقة الاتجاه المتناوب لخوارزمية المضاعف ADMM.

Longitudinal Data

Nonparametric Cubic B-Spline

Cluster Analysis

The Alternating Direction Method for Multiplier Algorithm ADMM.

Noor

Suhail

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Longitudinal data is becoming increasingly common, especially in the medical and economic fields, and various methods have been analyzed and developed to analyze this type of data.

In this research, the focus was on compiling and analyzing this data, as cluster analysis plays an important role in identifying and grouping co-expressed subfiles over time and employing them on the nonparametric smoothing cubic B-spline model, which is characterized by providing continuous first and second derivatives, resulting in a smoother curve with fewer abrupt changes in slope. It is also more flexible and can pick up on more complex patterns and fluctuations in the data.

The longitudinal balanced data profile was compiled into subgroup

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Publication Date

Fri Sep 18 2026

Journal Name

Journal Of Studies And Researches Of Sport Education

The effect of using the educational bag on the level of learning some offensive skills with the epee weapon

The effect of using the educational bag on the level of learning some offensive skills with the epee weaponDr. Lamia Hassan Al-Diwan

D. Fatima Abdel-Maliki

Dr. Kholoud Laith Abdel Karim2005 Technical and technological development has been increasing day after day and has included all areas of life

including the educational process

which has benefited from technologies such as (computer

video

and pictorial models) in introducing them as tools to aid the learning process. Educational packages have proven their effectiveness in education as they prepare learners with different areas of experience. Sensory audio-visual

through which the learner acquires different educational experiences through interaction

practice

participation

and communication with the data of the surrounding environment through the diversity of knowledge sources that suit his inclinations and needs. The research aimed to prepare an educational bag to teach some offensive skills in the epee weapon. And to find out the effect of using the proposed educational bag on the level of learning some offensive skills in the epee weapon. We hypothesized that the proposed educational package has a positive impact on the level of learning some offensive skills with the epee weapon. There were statistically significant differences in testing the level of learning some offensive skills with the epee weapon between the post-tests of the experimental and control groups

and in favor of the experimental group. The researchers used the experimental method to suit the nature of solving the research problem

and the research sample was chosen intentionally from the girls’ fencing club players (beginners) in the governorate. Basra for the year 2005. The number of players was (16)

which represented the entire study population. The experiment was conducted in the sports hall of the South Oil Sports Club in Basra. We concluded that the educational package has a positive impact on the level of learning some offensive skills in the epee weapon. There were statistically significant differences in the learning level test for some offensive skills in the epee weapon between the experimental group and the control group in the post-tests and in favor of the experimental group. We recommended the necessity of using the proposed educational curriculum to learn some offensive skills in the epee weapon in fencing lessons or in sports clubs. Adopting modern techniques in training

teaching or teaching fencing skills and searching for new methods. Conducting similar studies on other skills or different samples.Keywords: educational bag

offensive skills with an epee weapon

fencing game. Teaching methods. Basra Girl Sports ClubLamya Hassan Aldewan [email protected] of Basra - College of Education and Sports Scienceshttps://orcid.org/0000-0003-0377-6915 Keywords educational bag

offensive skills with an epee weapon

fencing game. Teaching methods. Basra Girl Sports Club

‏Lamyaa

Fatima

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