Total Global Dominator Coloring of Trees and Unicyclic Graphs

Chithra K. P.; Joseph Mayamma

doi:10.21123/bsj.2023.6457

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Publication Date

Tue Aug 01 2023

Journal Name

Baghdad Science Journal

Volume

20

Issue Number

4

DOI

10.21123/bsj.2023.6457

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Total Global Dominator Coloring of Trees and Unicyclic Graphs

Global dominator coloring

Total domination number

Total dominator coloring

Total global domination number

Total global dominator coloring

Trees

Unicyclic graphs. MSC2020: 05C15

05C69

Chithra K. P.

Joseph Mayamma

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A total global dominator coloring of a graph is a proper vertex coloring of with respect to which every vertex in dominates a color class, not containing and does not dominate another color class. The minimum number of colors required in such a coloring of is called the total global dominator chromatic number, denoted by . In this paper, the total global dominator chromatic number of trees and unicyclic graphs are explored.

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Publication Date

Thu Jun 01 2023

Journal Name

Baghdad Science Journal

Design and study the effect of inner bore diameter on the magnetic and optical properties of the unipolar lens

Chromatic aberration

Magnetic lens

Optical aberration

Resolving power

Spherical aberration

Mohammed.K.A.

R.Y. J.

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Many designs have been suggested for unipolar magnetic lenses based on changing the width of the inner bore and fixing the other geometrical parameters of the lens to improve the performance of unipolar magnetic lenses. The investigation of a study of each design included the calculation of its axial magnetic field the magnetization of the lens in addition to the magnetic flux density using the Finite Element Method (FEM) the Magnetic Electron Lenses Operation (MELOP) program version 1 at three different values of current density (6,4,2 A/mm²). As a result, the clearest values and behaviors were obtained at current density (2 A/mm²). it was found that the best magnetizing properties, the high

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Publication Date

Wed Aug 31 2022

Journal Name

Al-kindy College Medical Journal

A Comparative Study between Transcutaneous Bilirubinometry and Total Serum Bilirubin Measurement in Jaundiced Newborns

neonatal jaundice

total serum bilirubin

transcutaneous bilirubinometer

Bahjat Abdulridha

Razan Ali

Waad Edan Louis

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Background: Drawing blood to measure total serum bilirubin is painful & time consuming. Transcutaneous bilirubinometer working by multiwavelength spectral reflectance from the skin surface on forehead or upper sternum is a quick & painless technique.

Objectives: to compare the effectiveness of transcutaneous (over the upper sternum and forehead) and serum bilirubin measurement of neonate with jaundice.

Subjects and Methods: This is a cross sectional prospective study. It enrolled 175 jaundiced neonates & excluded those exposed to phototherapy. It was conducted at Child Central Teaching Hospi

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Publication Date

Sun Jan 01 2023

Journal Name

Journal Of Interdisciplinary Mathematics

Studying the result involution graphs for HS and McL Leech lattice groups

Jawad A.T.

Ali Abd

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Let G be a finite group, the result is the involution graph of G, which is an undirected simple graph denoted by the group G as the vertex set and x, y ∈ G adjacent if xy and (xy)2 = 1. In this article, we investigate certain properties of G, the Leech lattice groups HS and McL. The study involves calculating the diameter, the radius, and the girth of ΓGRI.

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Publication Date

Mon Sep 21 2020

Journal Name

Iraqi Journal For Electrical And Electronic Engineering

Emotion Recognition Based on Mining Sub-Graphs of Facial Components

Suhaila N.

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Facial emotion recognition finds many real applications in the daily life like human robot interaction, eLearning, healthcare, customer services etc. The task of facial emotion recognition is not easy due to the difficulty in determining the effective feature set that can recognize the emotion conveyed within the facial expression accurately. Graph mining techniques are exploited in this paper to solve facial emotion recognition problem. After determining positions of facial landmarks in face region, twelve different graphs are constructed using four facial components to serve as a source for sub-graphs mining stage using gSpan algorithm. In each group, the discriminative set of sub-graphs are selected and fed to Deep Belief Network (DBN) f

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Publication Date

Sun May 16 2021

Journal Name

Graphs And Combinatorics

Commuting Involution Graphs for Certain Exceptional Groups of Lie Type

Ali

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Abstract<p>Suppose that <italic>G</italic> is a finite group and <italic>X</italic> is a <italic>G</italic>-conjugacy classes of involutions. The commuting involution graph <inline-formula><alternatives><tex-math>$${\mathcal {C}}(G,X)$$</tex-math><math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mrow> <mi>C</mi> <mo>(</mo> <mi>G</mi> <mo>,</mo> <mi>X</mi> <mo>)</mo> </mrow> </math></alternatives></inline-formula> is</p> ... Show More

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Publication Date

Sun Jun 01 2025

Journal Name

Journal Of Discrete Mathematical Sciences And Cryptography

Some results on the non-zero divisor graphs of Zn

Fatema A.

Haider A.

Ali A.

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In this work, we study several features of the non-zero divisor graphs (ℵZD- graph) for the ring Zn of integer modulo n. For instance, the clique number, radius, girth, domination number, and the local clustering coefficient are determined. Furthermore, we present an algorithm that calculates the clique number and draws the non-zero divisor for the ring Zn.

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(1)

Publication Date

Sat Sep 30 2017

Journal Name

Al-khwarizmi Engineering Journal

Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems

Self-Tuning --- Neuro Network --- Adaptive Controller.

Ahmed Sabah

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In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two configuration serial-parallel model & parallel model to ensure that model output is equal to actual output of the system & to find the jacobain of the system. Which appears to be of critical importance parameter as it is used for the feedback controller and the second stage is learned on-line to modify the weights of the model in order to control the variable parameters that will occur to the system. A back propagation neural network is appl

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Publication Date

Wed Nov 01 2023

Journal Name

The Saudi Dental Journal

Salivary lactate dehydrogenase and salivary total protein as potential biomarkers for screening periodontal disease

Periodontal disease

Screening

Salivary LDH

Salivary total protein

Rawdhah R.

Maha Sh

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Abstract Background: Timely diagnosis of periodontal disease is crucial for restoring healthy periodontal tissue and improving patients’ prognosis. There is a growing interest in using salivary biomarkers as a noninvasive screening tool for periodontal disease. This study aimed to investigate the diagnostic efficacy of two salivary biomarkers, lactate dehydrogenase (LDH) and total protein, for periodontal disease by assessing their sensitivity in relation to clinical periodontal parameters. Furthermore, the study aimed to explore the impact of systemic disease, age, and sex on the accuracy of these biomarkers in the diagnosis of periodontal health. Materials and methods: A total of 145 participants were categorized into three groups based

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Publication Date

Tue Jun 30 2015

Journal Name

Al-kindy College Medical Journal

Evidence Based Updating of HbA1c Targets: Global Guidelines forGlycemic Control in Type 2 Diabetes Mellitus

HbA1c Targets

Type2 diabetes

Global Guidelines

Faris AK

Lewai S

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Background:Measurement of hemoglobin A1c (A1C) is a renowned tactic for gauging long-term glycemic control, and exemplifies an outstanding influence to the quality of care in diabetic patients.The concept of targets is open to criticism; they may be unattainable, or limit what could be attained, and in addition they may be economically difficult to attain. However, without some form of targeted control of an asymptomatic condition it becomes difficult to promote care at allObjectives: The present article aims to address the most recent evidence-based global guidelines of A1C targets intended for glycemic control in Type 2 Diabetes Mellitus (T2D).Key messages:Rationale for Treatment Targets of A1C includesevidence for microvascular and ma

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Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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