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The impact of the "Senge" Model of Organizational Learning in the adoption of Total Quality Management principles) Exploratory study in an organization)
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      This study is concerned with organizational learning and its impact on total quality management in the education sector. Organizational learning is a process that provides the educational sector with the ability to adapt and respond rapidly to developments and changes in a better way according to its main dimensions (Mental Models, Personal Mastery, Team Learning, Shared Vision, System Thinking) by adopting the philosophy of Total Quality Management (TQM) in accordance with its basic dimensions (leadership, customer satisfaction, participation of workers, continuous improvement, training and education). The main purpose of this study is to know (the impact of the Senge model of organizational learning in the adoption of TQM principles) , The study aims to analyze the reality of organizational learning at the Middle Technical University which is the field of application of the study and assess the level of total quality management in it. The study also aims to test the correlation between the two variables and determine the dimensions of organizational learning most influential in the adoption of the principles of TQM for scientific and applied contribution in addressing the apparent deficiencies in Iraqi universities and the Middle Technical University as an Field of application in organizational learning and Total quality management, This study Reached to many of Conclusions Perhaps the most Important that the dimensions of the variables of the study are available in level of average to good in the University under study, According to these conclusions, the researchers put a number of recommendations such as the importance of the attention of senior management and leadership in the university to the financial and intellectual capital and making it one of their first concerns and at the top of the organizational pyramid because of its great role and effect in applying the principles of TQM .

 

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Publication Date
Mon Jan 09 2023
Journal Name
2023 15th International Conference On Developments In Esystems Engineering (dese)
Deep Learning-Based Speech Enhancement Algorithm Using Charlier Transform
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Publication Date
Tue Nov 19 2024
Journal Name
Aip Conference Proceedings
CT scan and deep learning for COVID-19 detection
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Publication Date
Sat Dec 30 2023
Journal Name
Iraqi Journal Of Science
A Review for Arabic Sentiment Analysis Using Deep Learning
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     Sentiment Analysis is a research field that studies human opinion, sentiment, evaluation, and emotions towards entities such as products, services, organizations, events, topics, and their attributes. It is also a task of natural language processing. However, sentiment analysis research has mainly been carried out for the English language. Although the Arabic language is one of the most used languages on the Internet, only a few studies have focused on Arabic language sentiment analysis.

     In this paper, a review of the most important research works in the field of Arabic text sentiment analysis using deep learning algorithms is presented. This review illustrates the main steps used in these studies, which include

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Publication Date
Fri Jun 30 2023
Journal Name
Iraqi Journal Of Science
Satellite Image Classification using Spectral Signature and Deep Learning
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    When images are customized to identify changes that have occurred using techniques such as spectral signature, which can be used to extract features, they can be of great value. In this paper, it was proposed to use the spectral signature to extract information from satellite images and then classify them into four categories. Here it is based on a set of data from the Kaggle satellite imagery website that represents different categories such as clouds, deserts, water, and green areas. After preprocessing these images, the data is transformed into a spectral signature using the Fast Fourier Transform (FFT) algorithm. Then the data of each image is reduced by selecting the top 20 features and transforming them from a two-dimensiona

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Publication Date
Thu Oct 31 2013
Journal Name
Al-khwarizmi Engineering Journal
Aeroelastic Behavior of a Wind Turbine Blade by a Fluid -Structure Interaction Analysis
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In this paper, a numerical model for fluid-structure interaction (FSI) analysis is developed for investigating the aeroelastic response of a single wind turbine blade. The Blade Element Momentum (BEM) theory was adopted to calculate the aerodynamic forces considering the effects of wind shear and tower shadow. The wind turbine blade was modeled as a rotating cantilever beam discretized using Finite Element Method (FEM) to analyze the deformation and vibration of the blade. The aeroelastic response of the blade was obtained by coupling these aerodynamic and structural models using a coupled BEM-FEM program written in MATLAB. The governing FSI equations of motion are iteratively calculated at each time step, through exchanging data between

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Publication Date
Sat Dec 01 2018
Journal Name
Al-khwarizmi Engineering Journal
Numerical Modeling of Water Movement from Buried Vertical Ceramic Pipes through Coarse Soils
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Problem of water scarcity is becoming common in many parts of the world.  Thus to overcome this problem proper management of water and an efficient irrigation systems are needed.  Irrigation with buried vertical ceramic pipe is known as a very effective in management of irrigation water.  The two- dimensional transient flow of water from a buried vertical ceramic pipe through homogenous porous media is simulated numerically using the software HYDRUS/2D to predict empirical formulas that describe the predicted results accurately.   Different values of pipe lengths and hydraulic conductivity were selected.  In addition, different values of initial volumetric soil water content were assumed in this simulation a

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Publication Date
Thu Mar 01 2007
Journal Name
Journal Of Economics And Administrative Sciences
مدخل مقترح لتدقيق الجودة (ISO) كأحد أنواع الفحص لأغراض خاصة
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This  research  seeked  to  create  frame  work  for  audit  ISO  as  one  class  of  investigation   for  special   purpose. The suggestion  frame work  depend  on  five  basic  ingredients,  there were  nature  of  ISO audit,  the  people  interested   requirements  to do  this audit  who  process  the  audit and the  problems  effect this audit. Already discussed and study the requirements and recommendations from International Standardization Organization.

The researcher suggested the basic sup

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Publication Date
Wed Jun 07 2023
Journal Name
Journal Of Educational And Psychological Researches
The Contribution of Behavioral Disorders to Predicting Bullying Patterns in a Sample of Adolescents with Autism Spectrum Disorder: College of Education and Arts - Northern Border University - Kingdom of Saudi Arabia.
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The present study aims to identify the role of behavioral disorders (anxiety disorder, behavior disorder "behavior", confrontation and challenge disorder, aggressive behavior) in predicting bullying patterns (verbal, physical, electronic, school) in a sample of adolescents with autism spectrum disorder. For this purpose, the researcher developed scales to measure the behavioral disorders and the bullying patterns among adolescents with autism spectrum disorder. The researcher adopted the descriptive survey approach. The study sample consists of (80) adolescents with autism spectrum disorder with ages range from (15-19 years) and (45-53 years old) in association with israr association for people with special needs in the northern borders

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Publication Date
Wed Nov 17 2021
Journal Name
7th International Conference On Multidisciplinary Sciences (7th Icomus)
A Critical Pragmatic Study of Sarcasms in American and British Interviews
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APDBN Rashid, 7th International Conference on Multidisciplinary Sciences (7th ICOMUS), 2021

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Publication Date
Thu Jan 01 2004
Journal Name
Qadysia Journal Of Veterinary Research
Ultrastructural study of pineal gland in common Quail (Coturnix Coturnix Coturnix).
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