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Robust Estimations of Cluster Analysis: Practical Application in Administrative and Financial Corruption
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Cluster analysis (clustering) is mainly concerned with dividing a number of data elements into clusters. The paper applies this method to create a gathering of symmetrical government agencies with the aim to classify them and understand how far they are close to each other in terms of administrative and financial corruption by means of five variables representing the prevalent administrative and financial corruption in the state institutions. Cluster analysis has been applied to each of these variables to understand the extent to which these agencies are close to other in each of the cases related to the administrative and financial corruption.           

Outliers and infected data of the well-thought phenomenon have led to inaccurate results that were highlighted by the cluster analysis process made on the infected data. This gave rise to adopt efficient estimation methods known as the Robust Methods, which are used when the deliberate phenomenon-related data is infected due to certain outliers. Thus, this paper is purposed to obtain robust estimations that are functional in determining the robust distances for elimination of outlier and data cleansing by means of certain robust methods the stahel-donoho estimator.

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Publication Date
Mon Apr 03 2023
Journal Name
Journal Of Educational And Psychological Researches
Attitudes of the Private Sector towards the Application of Operational Contracting in Private Education Schools in the Sultanate of Oman: A Qualitative Study
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Abstract

The research aims to investigate the private sector attitudes toward operational contracting in special education schools. The research adopted the qualitative approach by using personal interviews with a sample of (45) private school owners and managers in Oman. The results of the research revealed that there is an agreement among the majority of respondents on the ability of the private sector to manage special education schools, the advantages of the partnership, as well as the need for guarantees to support this partnership. The government should fully assume it. The role of the private sector remains to raise the operational efficiency of schools. Opinions vary about the level of powers granted to t

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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
The efficiency of cluster analysis to analyzing medical image of Covid-19 patient by using K-means algorithm
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Publication Date
Sat Jun 01 2019
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
Rationalization the costs and improve seed quality under the application of biotechnology: An Applied Research in Ministry of Agriculture - the Directorate of Inspection &Certification of Seeds
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The importance of this research has been to rationalize the cost of producing maize seeds through the followers of modern techniques and methods in agricultural activities such as genetic engineering for the purpose of increasing production efficiency of maize seeds as well as the importance of calculating seed cost rationalization through the ABC system and thus rationalizing government spending. The research is based on a single hypothesis that the use of genetic engineering on corn seeds works to:increase production efficiency of seeds and savings in agricultural inputs, calculation of rationalization through the cost system on the basis of activity ABC The research reached a number of conclus

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Publication Date
Tue Sep 01 2020
Journal Name
Journal Of Engineering
Identify and Diagnose the Causes of Financial Funding using the Root Cause Analysis Technique
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The analysis of the root cause techniques is a reasonable option to be made to assess the root causes of the funding of construction projects. There are a variety of issues related to financing in construction industries in Iraq. The root,cause analysis is the impact of security and social conditions on financial funding. Variety tools of root cause analysis have originated from literature, as common methods for the detection of root causes. The purpose of this study was to identify and diagnose causes that lead to obstruction of financial funding in the construction projects in the republic of Iraq from the contractors' point of view and their interaction with a number of variables. The study diagnosed nine causes of fi

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Publication Date
Sat Sep 30 2017
Journal Name
College Of Islamic Sciences
The senses and their role in financial transactions
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This study aimed to clarify the legal provisions concerning the senses and their role in financial transactions, in the light of the definition of all the vocabulary presented by this study (senses - the definition of senses apparent: they are hearing - sight - smell - taste - touch) in the first section. The study deals with the second topic of the reference and writing denominator phrase and includes two requirements, the first requirement: the establishment of the denominator of the phrase, which has two branches: Section I: signal Akhras. Section II: Signal of the Spokesman.
 The second requirement is that writing takes the place of the phrase in financial transactions. The owners argue that the sale of the blind is correct a

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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
The Effect Of Optimizers On The Generalizability Additive Neural Attention For Customer Support Twitter Dataset In Chatbot Application
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When optimizing the performance of neural network-based chatbots, determining the optimizer is one of the most important aspects. Optimizers primarily control the adjustment of model parameters such as weight and bias to minimize a loss function during training. Adaptive optimizers such as ADAM have become a standard choice and are widely used for their invariant parameter updates' magnitudes concerning gradient scale variations, but often pose generalization problems. Alternatively, Stochastic Gradient Descent (SGD) with Momentum and the extension of ADAM, the ADAMW, offers several advantages. This study aims to compare and examine the effects of these optimizers on the chatbot CST dataset. The effectiveness of each optimizer is evaluat

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Publication Date
Tue Mar 19 2019
Journal Name
Tikrit Journal For Agricultural Sciences
Dependence and Phenotypic and Molecular Labels in Estimations of Genetic of Variance of Some Genotypes of Corn (Zea mays L.)
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Afield experiment was conducted in the college of Agriculture labs Sulaimanya University in 2014 to estimate the genetic variance between 12 genotypes of maize. (SSR) technology was used depending on (PCR) technology. Twenty primers were used for the genetic variance analysis between the studied genotypes and 15 primers showed polymorphic results in repeated experiment caused to experinse 52 alleles which gave 307 bands of range 3.1 by different molecular sizes ranged between 80-1000 pair base the value of PIC reached to phi069 gave high value (0.8785), the range of genetic diversity for studied genotypes reached to (0.625) gave primers pairs phi069 hig value for genetic diversity (0.888). The value of total allele replication ranged at pri

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Publication Date
Tue Dec 01 2020
Journal Name
Baghdad Science Journal
A Generalization of t-Practical Numbers
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This paper generalizes and improves the results of Margenstren, by proving that the number of -practical numbers  which is defined by   has a lower bound in terms of . This bound is more sharper than Mangenstern bound when  Further general results are given for the existence of -practical numbers, by proving that the interval contains a -practical for all

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Publication Date
Wed Oct 17 2018
Journal Name
Journal Of Economics And Administrative Sciences
discriminate analysis and logistic regression by use partial least square
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Abstract

   The method binery logistic regression and linear discrimint function of the most important statistical methods used in the classification and prediction when the data of the kind of binery (0,1) you can not use the normal regression therefore resort to binary logistic regression and linear discriminant function in the case of two group in the case of a Multicollinearity problem between the data (the data containing high correlation) It became not possible to use binary logistic regression and linear discriminant function, to solve this problem, we resort to Partial least square regression.

In this, search th

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Publication Date
Mon Apr 22 2024
Journal Name
Nibal
العلاقات العامة في مجال الرياضة
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في ظل العولمه و التقدم التكنولوجي الهائل و الصراعات الاقتصاديه و تنافس السوق في شتي المجالات اصبح يثق علي عاتق الاداره علي جميع المستويات المؤسسيه و جميع تخصصاتها الحمل الاكبر في مواكبه تلك التغيرات ، وحيث ان نظام التعليم ينتج لنا اجيال يجب ان تواكب تلك التغيرات لتتماشي مع متطلبات السوق الحالي و المستقبلي و نظام التعليم يعد احد اهم الركائز التي تستند عليه الموارد البشريه بالنسبه للدوله و اي مؤسسه ، و من هنا ب

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