A Stereomicroscopic Evaluation of Four Endodontic Sealers Penetration into Artificial Lateral Canals Using Gutta-Percha Single Cone Obturation Technique

Omar Jihad Banawi; Raghad Abdulrazzaq Alhashimi

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Publication Date

Mon May 31 2021

Journal Name

Journal Of Research In Medical And Dental Science

Volume

9

Issue Number

5

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A Stereomicroscopic Evaluation of Four Endodontic Sealers Penetration into Artificial Lateral Canals Using Gutta-Percha Single Cone Obturation Technique

Artificial lateral canals ALCs

Gutta flow® bioseal

Demineralization process

Omar Jihad Banawi

Raghad Abdulrazzaq Alhashimi

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A Stereomicroscopic Evaluation of Four Endodontic Sealers Penetration into Artificial Lateral Canals Using Gutta-Percha Single Cone Obturation Technique, Omar Jihad Banawi*, Raghad

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Publication Date

Wed Jan 01 2014

Journal Name

American Journal Of Mathematics And Statistics

Preliminary Test Single Stage Shrinkage Estimator for the Scale Parameter of Gamma Distribution

Muna D.

Abbas Najim

Aseel Hussein

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Publication Date

Fri Sep 01 2017

Journal Name

Journal Of Computational And Theoretical Nanoscience

Real Time Wireless Monitoring and Controlling of 3-D Single Point Incremental Tool

Real-Time

Monitoring

Systems

Controlling

Forming

Wireless Communication.

Huda Hatam

Faieza Abdul

Wan Zuha Wan

Mohd Khairol Anuar Mohd

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Maintenance of machine tools can be improved significantly by analyzing the operating of manufacturing process with the real-time monitoring system for 3-D single point deformation measurements. Therefore, the process of manufacturing could be optimized with less cost. Recently, wireless technology and internet of things (IOT) applied on intelligent machine has witnessed a significant advance with augmented virtuality, the analysis and the process certainly would contribute to enhance the intelligence of that machine. This paper presents a group of the wireless sensors and 3D animation technologies for data monitoring and analyzing. Three degree of freedom robotic hand structure has been selected as a prototype to be form the process of the

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Publication Date

Wed Jan 01 2020

Journal Name

Ieee Access

Single-Phase Grid-Tied Transformerless Inverter of Zero Leakage Current for PV System

Ahmed

Zeina Mueen

Farah Hani

N. H.

Ali Saadon

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(55)

(50)

Publication Date

Mon Jan 01 2024

Journal Name

Baghdad Science Journal

Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection

Adverse Drug Reaction

Artificial Neural Network

Classification

Deep Learning

Latent Semantic Analysis

احمد

Nazlia

Zohaa Mubarak

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Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user reported a side effect after taking a specific medication. In the literature, most researchers focused on machine learning techniques to detect ADR. These methods train the classification model using annotated medical review data. Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. The findings show the effectiveness of utilizing LSA with ANN in extracting AD

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(23)

(12)

Publication Date

Sat May 31 2025

Journal Name

3rd International Scientific Conference For Human And Social Studies And Epistemological Challenges

Frankenstein Complex in Daniel H. Wilson's Robopocalypse ( ): Artificial Intelligence Conspiracies

With the advent of technology

the fear of losing control has consistently accompanied humanity. While humans have discovered

invented

and created many remarkable things

they have also been haunted by the possibility of their creations turning against them. This fear

often referred to as the Frankenstein Complex

derives its name from Mary Shelley's Frankenstein (􀀔􀀛􀀔􀀛)

in which Dr. Frankenstein's creation ultimately destroys its maker. The Frankenstein Complex embodies the subconscious fear of artificial intelligence (AI) surpassing and potentially dominating humankind. This apprehension has inspired numerous literary works

including Daniel H. Wilson’s novels. The present study examines the widespread fear of AI

which has fueled conspiracy theories in literature. These theories have not only amplified public anxiety but also hindered understanding among those with limited knowledge of AI and robotics. Dr. Wilson

a robotics expert

uses his imagination as a driving force for both his writing and his inventions. The research focuses on incidents leading to the rise of robots

the concept of the New War

how it was fought

and how it concluded. By comparing

contrasting

and analyzing literary elements and devices with prominent conspiracy theories

the study highlights the interplay between fiction and scientific development. The researchers conclude that while many conspiracy theories contain elements of truth

they often inspire scientists to explore them further. Additionally

some conspiracy theories warrant serious consideration. The study recommends acknowledging the Frankenstein Complex while maintaining faith in the potential benefits of artificial intelligence.

Ansam

Mayada

Zahraa

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Publication Date

Thu Apr 01 2021

Journal Name

Indonesian Journal Of Electrical Engineering And Computer Science

Pushing towards ehealth for iraqi hypertensives: an integrated class association rules into SECI model

Ahmed

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<span lang="EN-GB">This paper highlights the barriers that have led to a delay in the implementation of E-Health services in Iraq. A new framework is proposed to improve the E-Health sector using a SECI model which describes how explicit and tacit knowledge is generated, transferred, and recreated in organizations through main stages (socialization, externalization, combination and internalization). Class association rules (CARs) is integrated to mine the SECI model by extracting related rules which correspond to the medical advice. The proposed framework (SECICAR) can be done through a web portal to assemble healthcare professionals, patients in one environment. SECICAR will be applied to the hypertension community to show th

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(7)

(5)

Publication Date

Fri Sep 01 2017

Journal Name

Journal Of Construction Engineering And Management

Integrating Worker Health and Safety into Sustainable Design and Construction: Designer and Constructor Perspectives

Ali

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(82)

(59)

Publication Date

Wed Aug 23 2017

Journal Name

Proceedings Of The International Conference On Web Intelligence

Primarily investigating into the relationship between talent management and knowledge management in business environment

Atheer Abdullah

Raj

Abdul

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(9)

(6)

Publication Date

Mon Jan 25 2021

Journal Name

Engineering And Technology Journal

Performance evaluation of Photovoltaic Panels by a Proposed Automated System Based on Microcontrollers

Mustafa

Monaf

Hayder

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(1)

Publication Date

Fri Dec 14 2018

Journal Name

Iraqi National Journal Of Nursing Specialties

Evaluation of Diabetes Self-Management among Patients in Baghdad City: A Comparative Study

Evaluation

Diabetes

Self-management

Patients

Comparative study

Al-Hakam

mohammed

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Objective(s): To Evaluate Diabetes self –management among patients in Baghdad City and to compare
between these patients self-management relative to the type of the disease.
Methodology: A descriptive design was conducted in Baghdad city, started from November 16th 2017 to the
end of May 17 th 2018 in order to evaluate Diabetes self-management. Purposive (non-probability) sample,
which was consisted of (120) patients who were diagnosed with D.M. The sample is comprised of (60) patient
with diabetes type I and (60) patient with diabetes type II. It is consisted of (60) male and (60) female. A
questionnaire is constructed for the purpose of the study. It is composed of (42) items. Reliability and validity of
the ques

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