Preferred Language
Articles
/
PBfNAI4BVTCNdQwCVS01
Biological Therapy for Patients With Rheumatoid Arthritis and Its Effect on Periodontal and Immunological Parameters
...Show More Authors

Rheumatoid arthritis and periodontitis use analogous effector destructive procedures, in that the inflammatory cells and pro-inflammatory cytokines that drive chronic bone erosion in RA and chronic periodontal destruction in Periodontitis are alike. Periodontitis (PD) has appeared as a hazard factor in a number of health situations as rheumatoid arthritis (RA). To determine the effect of anti-tumor necrosis factor alpha biological treatment (methotrexate and Enbrel or infliximab) on periodontal status of patients having rheumatoid arthritis with periodontitis in comparison to those having periodontitis without rheumatoid arthritis and control healthy subjects and to determine the serum levels of anti-cyclic citrullinated peptide (ACCP) in these groups. Periodontal parameters used in this study were plaque index (PI), gingival index (GI), bleeding on probing (BOP) and clinical attachment level (CAL). Serum levels of anti-cyclic citrullinated peptide (ACCP) was estimated by enzyme linked immunosorbent assays (ELISA). The Blood samples were gathered from 75 patients (25 patients had rheumatoid arthritis with periodontitis, 30 patients with periodontitis only and 20 evidently healthy volunteers). The current data revealed that the median value of plaque and gingival indices were higher in the periodontitis group than in rheumatoid arthritis with periodontitis group while CAL was slightly higher in rheumatoid arthritis with periodontitis group than periodontitis group. The percentage of BOP sites were higher in periodontitis group than rheumatoid arthritis with periodontitis. The serum level of anti-cyclic citrullinated peptide was found to be higher in the periodontitis group (601.846) followed by rheumatoid arthritis with periodontitis, which had the lowest median (163.99), while the median value of ACCP in control group was (218.617), and the result was statistically non-significant difference between the study groups p> 0.05. There was no correlation between anticyclic citrullinated peptide and clinical periodontal parameters in each group except in gingival index, bleeding on probing of the periodontitis group as there was significant correlation. Patients with RA receiving biological treatment had lower anti_cyclic citrullinated peptide antibody and lower periodontal indices when compared with the other patient that not taking biological therapy. Thus, suppression of pro-inflammatory cytokines might have a beneficial effect in reducing inflammatory activity in rheumatoid arthritis disease and in minimizing the periodontal destruction of chronic periodontitis.

Publication Date
Sat Oct 29 2022
Journal Name
Computers
Intelligent Robotic Welding Based on a Computer Vision Technology Approach
...Show More Authors

Robots have become an essential part of modern industries in welding departments to increase the accuracy and rate of production. The intelligent detection of welding line edges to start the weld in a proper position is very important. This work introduces a new approach using image processing to detect welding lines by tracking the edges of plates according to the required speed by three degrees of a freedom robotic arm. The two different algorithms achieved in the developed approach are the edge detection and top-hat transformation. An adaptive neuro-fuzzy inference system ANFIS was used to choose the best forward and inverse kinematics of the robot. MIG welding at the end-effector was applied as a tool in this system, and the wel

... Show More
View Publication
Scopus (12)
Crossref (12)
Scopus Clarivate Crossref
Publication Date
Tue Jun 04 2024
Journal Name
Computation
High-Performance Krawtchouk Polynomials of High Order Based on Multithreading
...Show More Authors

Orthogonal polynomials and their moments serve as pivotal elements across various fields. Discrete Krawtchouk polynomials (DKraPs) are considered a versatile family of orthogonal polynomials and are widely used in different fields such as probability theory, signal processing, digital communications, and image processing. Various recurrence algorithms have been proposed so far to address the challenge of numerical instability for large values of orders and signal sizes. The computation of DKraP coefficients was typically computed using sequential algorithms, which are computationally extensive for large order values and polynomial sizes. To this end, this paper introduces a computationally efficient solution that utilizes the parall

... Show More
View Publication
Scopus (2)
Crossref (1)
Scopus Clarivate Crossref
Publication Date
Wed Sep 29 2021
Journal Name
Al-khwarizmi Engineering Journal
Simulation of a Self-Balancing Platform on the Mobile Car
...Show More Authors

        In the last years, the self-balancing platform has become one of the most common candidates to use in many applications such as flight, biomedical fields, industry. This paper introduced the simulated model of a proposed self-balancing platform that described the self–balancing attitude in (X-axis, Y-axis, or both axis) under the influence of road disturbance. To simulate the self-balanced platform's performance during the tilt, an integration between Solidworks, Simscape, and Simulink toolboxes in MATLAB was used. The platform's dynamic model was drawn in SolidWorks and exported as a STEP file used in the Simscape Multibody environment. The system is controlled using the proportional-integral-derivative (PID) co

... Show More
Preview PDF
Scopus Crossref
Publication Date
Sun Jul 01 2018
Journal Name
Journal Of Aerosol Science
On the design of miniature parallel-plate differential mobility classifiers
...Show More Authors

View Publication
Scopus (5)
Crossref (5)
Scopus Clarivate Crossref
Publication Date
Thu Oct 01 2015
Journal Name
Journal Of Engineering
Development of Spatial Data Infrastructure based on Free Data Integration
...Show More Authors

In recent years, the performance of Spatial Data Infrastructures for governments and companies is a task that has gained ample attention. Different categories of geospatial data such as digital maps, coordinates, web maps, aerial and satellite images, etc., are required to realize the geospatial data components of Spatial Data Infrastructures. In general, there are two distinct types of geospatial data sources exist over the Internet: formal and informal data sources. Despite the growth of informal geospatial data sources, the integration between different free sources is not being achieved effectively. The adoption of this task can be considered the main advantage of this research. This article addresses the research question of how the

... Show More
View Publication Preview PDF
Publication Date
Thu Jan 30 2014
Journal Name
Al-kindy College Medical Journal
The Eff ffectt off Septtopllastty on IInfferr iiorr Turrbiinatte Siize
...Show More Authors

Bac kground:: Septal deviation is one of the commonest anatomical deformities of the nasal skeleton, this deviation is usually accompanied by compensatory hypertrophy of the inferior turbinate on the concave side that will accentuate the severity of nasal obstruction.
Objectives: To evaluate the effect of septoplasty on the size of the inferior turbinate in patients with nasal septum deviation.
Methods: This is a prospective study of 25 patients attending the otolaryngological department at Al-Jirahat teaching hospital from September 2011 to November 2013, complaining mainly of nasal obstruction. Otolaryngological examination had shown nasal septum deviation. The cross sectional areas of inferior turbinates were measured with compu

... Show More
View Publication Preview PDF
Publication Date
Sun Jan 01 2012
Journal Name
Conference
Identifying Causes of Variation in Construction Industry Based on Questionnaire
...Show More Authors

Publication Date
Tue Sep 15 2020
Journal Name
Al-academy
Impact of Cranbrook on Graphic Design: راقي صباح نجم الدين
...Show More Authors

  Empirical research in the disciplines of art and design has started to escalate and gather consideration within the academic community over the past few decades. However, still, graphic design tends to be a topic extremely under-researched by scholarly persons. Profound research in the field of graphic design extends far beyond the works produced by the designer himself (Khoury, 2009, p.844). In order to develop a clear insight, one needs to delve deep into the subcategories that the diverse field of graphic design is comprised of, including illustration, typography, interaction design, branding and even the impact of notable, eminent institutes from around the world that have taken the budding artists for quite a long time (Walke

... Show More
View Publication Preview PDF
Crossref
Publication Date
Tue Aug 15 2023
Journal Name
Revista Iberoamericana De Psicología Del Ejercicio Y El Deporte
The Impact Of Corporate Governance Mechanisms On Tax Avoidance Practices
...Show More Authors

This research came with the aim of showing the impact of governance mechanisms on tax avoidance practices, and in light of this, the financial data of the joint stock companies (industrial, service, agricultural, and hotels) listed in the Iraq Stock Exchange amounting to (35) companies were collected during the period (2009-2020). Through the financial reports published on the market website, multiple linear regression analysis was used as a tool to study the relationship between variables, and (Eviews 12) program was used for analysis and hypothesis testing. To achieve the objectives of the research,(administrative ownership, board size, board independence, women's membership) was adopted as an indicator of the dimensions of governance, an

... Show More
Preview PDF
Scopus
Publication Date
Mon Jan 01 2024
Journal Name
Communications In Computer And Information Science
Automatic Identification of Ear Patterns Based on Convolutional Neural Network
...Show More Authors

Biometrics represent the most practical method for swiftly and reliably verifying and identifying individuals based on their unique biological traits. This study addresses the increasing demand for dependable biometric identification systems by introducing an efficient approach to automatically recognize ear patterns using Convolutional Neural Networks (CNNs). Despite the widespread adoption of facial recognition technologies, the distinct features and consistency inherent in ear patterns provide a compelling alternative for biometric applications. Employing CNNs in our research automates the identification process, enhancing accuracy and adaptability across various ear shapes and orientations. The ear, being visible and easily captured in

... Show More
View Publication
Scopus Crossref