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ijs-6728
Soft Bornological Group Acts on Soft Bornological Set
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        In this paper, we introduce the notation of the soft bornological group to solve the problem of boundedness for the soft group. We combine soft set theory with bornology space to produce a new structure which is called    soft bornological group. So that both the product and inverse maps are soft bounded. As well as, we study the actions of the soft bornological group on the soft bornological sets. The aim soft bornological set is to partition into orbital classes by acting soft bornological group on the soft bornological set. In addition, we explain the centralizer, normalizer, and stabilizer in details. The main important results are to prove that the product of soft bornological groups is soft bornological group and the action for different elements are the same actions.

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Publication Date
Fri Jan 26 2024
Journal Name
Iraqi Journal Of Science
On the Size of Complete Arcs in Projective Space of Order 17
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The main goal of this paper is to show that a
-arc in
and
is subset of a twisted cubic, that is, a normal rational curve. The maximum size of an arc in a projective space or equivalently the maximum length of a maximum distance separable linear code are classified. It is then shown that this maximum is
for all dimensions up to
.

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Publication Date
Sun Mar 04 2012
Journal Name
Baghdad Science Journal
Effect of Temperature on Reliability and Degradation of 0.63?m Laser Diode
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The reliability of optical sources is strongly dependent on the degradation and device characteristics are critically dependent on temperature. The degradation behaviours and reliability test results for the laser diode device (Sony-DL3148-025) will be presented .These devices are usually highly reliable. The degradation behaviour was exhibited in several aging tests, and device lifetimes were then estimated. The temperature dependence of 0.63?m lasers was studied. An aging test with constant light power operation of 5mW was carried out at 10, 25, 50 and 70°C for 100hours. Lifetimes of the optical sources have greatly improved, and these optical sources can be applied to various types of transmission systems. Within this degradation range,

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Publication Date
Thu Oct 01 2020
Journal Name
Engineering Science And Technology, An International Journal
Thermal performance improvement based on the hybrid design of a heat sink
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Publication Date
Sun Jun 30 2024
Journal Name
International Journal Of Pharmaceutical Sciences And Nanotechnology(ijpsn)
A Subject Review on Application of Analytical Chemistry in the Mitochondrial Medicine
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Understanding energy metabolism and intracellular energy transmission requires knowledge of the function and structure of the mitochondria. Issues with mitochondrial morphology, structure, and function are the most prevalent symptoms. They can damage organs such as the heart, brain, and muscle due to a variety of factors, such as oxidative damage, incorrect metabolism of energy, or genetic conditions. The control of cell metabolism and physiology depends on functional connections between mitochondrial and biological surroundings. Therefore, it is essential to research mitochondria in situ or in vivo without isolating them from their surrounding biological environment. Finding and spotting abnormal alterations in mitochondria is the

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Publication Date
Thu Apr 28 2022
Journal Name
Iraqi Journal Of Science
Effect of Excitation Energy and Mass number on Most probable exciton number
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Exciton model describes the excitation of particles in pre-equilibrium region of nuclear reaction by exciton. In pre-equilibrium region there is a small probability for occurring emission and the number of excitons be the probability of the emission of it possible more is called most probable exciton number MPEN. In this paper the MPEN formula was derived for protons and neutrons separately and so MPEN formula derived with taking into account the non equidistant spacing between the energy states. The MPEN was studied with the mass number where it is noticed the MPEN increases with increasing the mass number. Also, MPEN studied for different isotopes of Al, the MPEN increases with increasing mass number of isotopes. MPEN for neutron is co

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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
The Effect of Eruca sativa extract on Gram Posative and Negative Bacteria
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The antibacterial effect of (Eruca sativa) extract was evaluated by an in vitro study testing the growth of various Gram-Positive and Gram-Negative bacteria . The bactericidal activity of this extract was analyzed by serial dilution in tubes. This study,found that Gram-Negative and Gram-Positive bacteria susceptible to very low eruca concentrations. On the other hand, Gram-positive bacteria were more susceptible than Gram-negative bacteria, the minimal bactericidal concentration of Gram-positive bacteria was 5 mg ml-1 but minimal bactericidal concentration of Gram-negative bacteria was 10 mg ml-1 that mean duble inhibation concentration of Gram-positive bacteria . this study suggest that Eruca sativa leaves have inhibation effect on Gra

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Publication Date
Sat Dec 01 2012
Journal Name
Journal Of Economics And Administrative Sciences
Multiplicity of Accounting Concepts and it’s Impact on Thinking and Practical Applications
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Accounting profession has been survived for long time and expected to survive in future, with out basing on theory in the field of practical practice . But there are numerous problems which emerge from the practical practice, their solution needs to be based on generally accepted accounting theory. The results of the researches in this field since the beginning of the last century unfolded the difficulty of formulating theory in accounting , but possible to formulate several accounting

مجلة العلوم الاقتصادية والإدارية

المجلد 18

العدد 69

الصفحات  318-  332  

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Publication Date
Mon Jun 15 2020
Journal Name
Journal Of Baghdad College Of Dentistry
Effect of plasma treatment on some surface properties of acrylic resin polymer
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Background: Polymer surfaces usually present problems in bonding and finishing due to their low hydrophilicity. The aim of this study is to investigate the effect of plasma treatment with the use of two types of gases (oxygen and argon) on surface roughness, and chemical surface properties of acrylic resin denture base polymer material. Materials and Methods: Three heat cured acrylic resin specimens of (2*8*30 mm) dimensions were prepared for each test carried out in this study. Two tests were conducted, surface roughness test and chemical surface analysis test. Results: Application of plasma treatment increased surface roughness for both oxygen and argon plasma treated acrylic resin specimen groups compared with control untreated group,

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Publication Date
Sun Oct 22 2023
Journal Name
Iraqi Journal Of Science
Allelopathic Effect of Root Exudates of Two Sunflower Cultivars on Companion Weeds
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The effects of root exudates of two sunflower cultivars (Shumoose and Sin
Altheeb) were studied on companion weeds during the growing season of 2012.
Results showed the ability of both cultivars to affect weed population and growth
with the superiority of cultivar Shumoose in suppression of weed density at 60 and
120 days after sowing compared to Sin Altheeb. Weed biomass was significantly
reduced up to 90 and 71% by Shumoose and Sin Altheeb cultivars, respectively.
Stair case experiment indicated that root exudates of Shumoose cultivar showed
more suppression to weeds than Sin Altheeb giving additional evidence for the
superiority of Shumoose cultivar in its allelopathic weed suppression. Chemical
analysis by

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Publication Date
Sun Jun 20 2021
Journal Name
Baghdad Science Journal
PDCNN: FRAMEWORK for Potato Diseases Classification Based on Feed Foreword Neural Network
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         The economy is exceptionally reliant on agricultural productivity. Therefore, in domain of agriculture, plant infection discovery is a vital job because it gives promising advance towards the development of agricultural production. In this work, a framework for potato diseases classification based on feed foreword neural network is proposed. The objective of this work  is presenting a system that can detect and classify four kinds of potato tubers diseases; black dot, common scab, potato virus Y and early blight based on their images. The presented PDCNN framework comprises three levels: the pre-processing is first level, which is based on K-means clustering algorithm to detect the infected area from potato image. The s

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