Fixing the relationship of the syntactic concept and structural scheme of sentences: A Linguistic and  Cultural Approach.

Dr.Abdul Jabbar Muhsen Al-Rubai; ا.م.د. عبد الجبار محدن الربيعي; dr.Абдулджаббар Мухсен Аль-Рубаи

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Publication Date

Wed Apr 18 2018

Journal Name

مجلة المدرس-القرن الحادي و العشرون

Volume

2

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Fixing the relationship of the syntactic concept and structural scheme of sentences: A Linguistic and Cultural Approach.

Keywords: linguocognitive approach

“syntactic concept”

“structural scheme of a sentence”

syntax

semantics

mental and linguistic levels.

Dr.Abdul Jabbar Muhsen Al-Rubai

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The article defines the relationship between the syntactic concept and the structural scheme of a sentence in modern scientific research from the standpoint of the linguistic cognitive approach; the definitions of the concepts “syntactic concept” and “structural scheme of a sentence” have been represented; a linguocognitive approach to the study of the structural schemes of a sentence through the prism of syntactic concepts has been proposed, which gives a new solution to the problem of the interaction of syntax and semantics; the mental and linguistic levels have been identified, as well as the principles of their interaction in the process of analysing the sentence.

Publication Date

Thu Feb 14 2013

Journal Name

مجلة كلية اللغات

العلاقات الدلالية للصيغ القياسية النصية في النتاجات العلمية في اللغة الروسية

الكلمات المفتاحية: النموذج النصي

النص

العلاقات النموذجية

الدلالة

العلاقات الدلالية.

Dr.Abdul Jabbar Muhsen

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الملخص: تتناول هذه المقالة مشكلة دلالات النموذج النصي باعتبارها من المسائل النشطة في علم اللغة النصي، وتبحث في العلاقات الدلالية ودورها في الكشف عن تلك الروابط المعنوية التي يمكن على أساسها التمييز بين أنواع العلاقات الدلالية «الترادف، والتضاد، وتعدد المعاني»، وتطرح فكرة أن العلاقات الدلالية قادرة على التعبير عن الروابط النموذجية (البارادigmatic) بين وحدات اللغة «الكلمات». كما توضح دور العلاقات الدلالية في ت

Publication Date

Sat Dec 02 2017

Journal Name

Al-khwarizmi Engineering Journal

Human Face Recognition Using Wavelet Network

Keywords: Discrete Wavelet transform

WSOM

back propagation.

Dr. Tarik

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This paper presents a study of wavelet self-organizing maps (WSOM) for face recognition. The WSOM is a feed forward network that estimates optimized wavelet based for the discrete wavelet transform (DWT) on the basis of the distribution of the input data, where wavelet basis transforms are used as activation function.

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Publication Date

Fri Dec 29 2017

Journal Name

Al-khwarizmi Engineering Journal

Microcontroller – Based Spectrum Analyzer

Keywords: FFT

Spectral Analysis

Microcontroller - Based System

Ameera A.

Dr. Ismail A.

Omar H.

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This work includes design, implementation and testing of a microcontroller – based spectrum analyzer system. Both hardware and software structures are built to verify the main functions that are required by such system. Their design utilizes the permissible and available tools to achieve the main functions of the system in such a way to be modularly permitting any adaptation for a specific changing in the application environment. The analysis technique, mainly, depends on the Fourier analysis based methods of spectral analysis with the necessary required preconditioning processes. The software required for waveform analysis has been prepared. The spectrum of the waveform has been displayed, and the instrument accuracy has been checked.

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Publication Date

Wed Oct 07 2026

Journal Name

Journal Of Baghdad College Of Dentistry

Shear bond strength of stainless steel brackets bonded to porcelain surface treated with 1.23% acidulated phosphate fluoride gel compared to hydro fluoric acid with silane coupling agent (In vitro comparative study)

Tariq M

Fakhri A

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Background: With the increasing demands for adult orthodontics, a growing need arises to bond attachments to porcelain surfaces. Optimal adhesion to porcelain surface should allow orthodontic treatment without bond failure but not jeopardize porcelain integrity after debonding.The present study was carried out to compare the shear bond strength of metal bracket bonded to porcelain surface prepared by two mechanical treatments and by using different etching systems (Hydrofluoric acid 9% and acidulated phosphate fluoride 1.23%). Materials and Methods: The samples were comprised of 60 models (28mm *15mm*28mm) of metal fused to porcelain (feldspathic porcelain). They were divided as the following: group I (control): the porcelain surface left u

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Publication Date

Tue Feb 28 2023

Journal Name

Applied System Innovation

Earthquake Hazard Mitigation for Uncertain Building Systems Based on Adaptive Synergetic Control

synergetic control

adaptive synergetic control

structural building

earthquake

vibration suppression

stability analysis

Ayad Q.

Amjad J.

Ziyad T.

Musaab E.

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This study presents an adaptive control scheme based on synergetic control theory for suppressing the vibration of building structures due to earthquake. The control key for the proposed controller is based on a magneto-rheological (MR) damper, which supports the building. According to Lyapunov-based stability analysis, an adaptive synergetic control (ASC) strategy was established under variation of the stiffness and viscosity coefficients in the vibrated building. The control and adaptive laws of the ASC were developed to ensure the stability of the controlled structure. The proposed controller addresses the suppression problem of a single-degree-of-freedom (SDOF) building model, and an earthquake control scenario was conducted and simulat

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Publication Date

Thu Jan 01 2015

Journal Name

Journal Of Engineering

GNSS Baseline Configuration Based on First Order Design

configuration baselines

FOD

GNSS network

A-optimality

E-optimality

Oday Yaseen

Muayed Yaseen

Zahraa Azeldeen

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The quality of Global Navigation Satellite Systems (GNSS) networks are considerably influenced by the configuration of the observed baselines. Where, this study aims to find an optimal configuration for GNSS baselines in terms of the number and distribution of baselines to improve the quality criteria of the GNSS networks. First order design problem (FOD) was applied in this research to optimize GNSS network baselines configuration, and based on sequential adjustment method to solve its objective functions.

FOD for optimum precision (FOD-p) was the proposed model which based on the design criteria of A-optimality and E-optimality. These design criteria were selected as objective functions of precision, whic

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Publication Date

Fri Dec 30 2016

Journal Name

Al-kindy College Medical Journal

Deep Vein Thrombosis Predisposing Factors Analysis Using Association Rules Mining

DVT risk factors

analysis of DVT risk factors

Data mining and DVT

Muthanna D.R.

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Background: DVT is a very common problem with a very serious complications like pulmonary embolism (PE) which carries a high mortality,and many other chronic and annoying complications ( like chronic DVT, post-phlebitic syndrome, and chronic venous insufficiency) ,and it has many risk factors that affect its course, severity ,and response to treatment. Objectives: Most of those risk factors are modifiable, and a better understanding of the relationships between them can be beneficial for better assessment for liable pfatients , prevention of disease, and the effectiveness of our treatment modalities. Male to female ratio was nearly equal , so we didn’t discuss the gender among other risk factors. Type of the study:A cross- secti

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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

Sun Oct 01 2023

Journal Name

Ieee Transactions On Industrial Electronics

Singular Perturbation-Based Adaptive Integral Sliding Mode Control for Flexible Joint Robots

Adaptive integral sliding mode controller (AISMC)

flexible robotic joint (FJR)

singular perturbation approach

states observers

underactuated.

Raja Fawad Afsar

Kamal

Zhenwei

Zhihong

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The flexible joint robot (FJR) typically experiences parametric variations, nonlinearities, underactuation, noise propagation, and external disturbances which seriously degrade the FJR tracking. This article proposes an adaptive integral sliding mode controller (AISMC) based on a singular perturbation method and two state observers for the FJR to achieve high performance. First, the underactuated FJR is modeled into two simple second-order fast and slow subsystems by using Olfati transformation and singular perturbation method, which handles underactuation while reducing noise amplification. Then, the AISMC is proposed to effectively accomplish the desired tracking performance, in which the integral sliding surface is designed to reduce cha

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(116)

(108)

Publication Date

Mon Dec 25 2017

Journal Name

Al-khwarizmi Engineering Journal

Removal Water Turbidity by Crumb Rubber Media

Keywords: Turbidity

filtration

crumb rubber media

head loss.

Abbas H.

Muna Yousif

Abeer I.

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Abstract

The removal of water turbidity by using crumb rubber filter was investigated .The present study was conducted to evaluate the effect of variation of influent water turbidity (10, 25 and 50 NTU), media size (0.6and 1.14mm), filtration rate (25, 45 and 65 l/hr) and bed depth (30 and 60 cm) on the performance of mono crumb rubber filter in response to the effluent filtered water turbidity and head loss development, and compare it with that of conventional sand filter.Results revealed that 25 l/hr flow rate and 25 NTU influent turbidity were the best operating conditions. smaller media size and higher bed depth gave the best removal efficiency while higher media size and small bed depth gave lower head

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