TRANSLATION STRATEGIES OF PHRASEOLOGICAL UNITS FROM ITALIAN INTO RUSSIAN: BASED ON V. ARDONE’S NOVEL THE TRAIN OF CHILDREN

Ali Hussein Hadi

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Publication Date

Mon Apr 20 2026

Journal Name

Nauchforum

Volume

4

Issue Number

104

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TRANSLATION STRATEGIES OF PHRASEOLOGICAL UNITS FROM ITALIAN INTO RUSSIAN: BASED ON V. ARDONE’S NOVEL THE TRAIN OF CHILDREN

translation strategies

Vinay and Darbelnet

equivalence

compensation

idiomatics.

Ali Hussein Hadi

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The translation of phraseological units is among the most challenging tasks in literary translation, as fixed expressions convey denotative, connotative, and cultural meanings that resist full equivalence. This study classifies the strategies employed in the Russian translation of Viola Ardone’s The Train of Children, drawing on the frameworks of Vinay and Darbelnet, Newmark, and Koller. Analysis of 37 idioms reveals five strategies, with phraseological equivalence prevailing, while compensation—though less frequent—emerges as stylistically most significant.

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Publication Date

Sun Jun 06 2010

Journal Name

Baghdad Science Journal

Stochastic Non-Linear Pseudo-Random Sequence Generator

"Stochastic process

birth and death key generator (BDG)

linear feedback shift register (LFSR)

Pseudo- noise sequence

Auto-correlation function

Periodicity."

Mahmood A.

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Many of the key stream generators which are used in practice are LFSR-based in the sense that they produce the key stream according to a rule y = C(L(x)), where L(x) denotes an internal linear bit stream, produced by small number of parallel linear feedback shift registers (LFSRs), and C denotes some nonlinear compression function. In this paper we combine between the output sequences from the linear feedback shift registers with the sequences out from non linear key generator to get the final very strong key sequence

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Publication Date

Sat Jul 01 2023

Journal Name

Journal Of Engineering

Toward Improving BIM Acceptance in FM: A Conceptual Model Integrating TTF and TAM

Facilities Management (FM)

Operation and Maintenance (O&M)

Building Information Modeling (BIM)

Technology Acceptance Model (TAM)

Task Technology Fit (TTF)

Maryam M.

Mustafa A.

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Substantial research has been performed on Building Information Modeling (BIM) in various topics, for instance, the use and benefit of BIM in design, construction, sustainable environment building, and Facility assets over the past several years. Although there are various studies on these topics, Building Information Modeling (BIM) awareness through facilities management is still relatively poor. The researcher's interest is increased in BIM study is based heavily upon the perception that it can facilitate the exchange and reuse of information during various project phases. This property and others can be used in the Iraqi Construction industry to motivate the government to eliminate the change resistance to use innovat

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(8)

(5)

Publication Date

Wed Sep 30 2026

Journal Name

Journal Of Al-qadisiyah For Computer Science And Mathematics

UAV-STNet: A Hybrid U-Net–Transformer–LSTM Architecture for Real-Time Object Detection in UAV Video Surveillance

UAV video surveillance

verification of objects in real-time

Spatio-temporal modelling

Hybrid deep learning

U-Net

Transformer and LSTM

Liqaa M

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It is difficult to perform real time object detection in Uncrewed Aerial Vehicle(UAV) based video surveillance because of the dynamic movement of camera, scale, occlusion, variation of illumination and limited power availability on-board of the computer. Purpose: In this paper of researches, the author suggests the proposed UAV Spatial-Temporal Network(UAV-STNet), which is a hybrid model of spatio-temporal deep learning model that is expected to improve the accuracy of the detection, balance of time, and real-time performance. Approaches: techniques: The proposed framework incorporates U-Net representing the system of total encoder involving extraction of multiscale space features mode, Transformer attention module which will involve global

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Publication Date

Fri Jan 01 2016

Journal Name

Bulletin Of Mathematics And Statistics Research

New Approximation Operators Using Mixed Degree Systems

Digraph

Out-degree set

In-degree set

Mixed degree set

first approximation operators

second approximation operators

first accuracy and second accuracy.

Y. Y.

S. S.

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This paper is concerned with introducing and studying the first new approximation operators using mixed degree system and second new approximation operators using mixed degree system which are the core concept in this paper. In addition, the approximations of graphs using the operators first lower and first upper are accurate then the approximations obtained by using the operators second lower and second upper sincefirst accuracy less then second accuracy. For this reason, we study in detail the properties of second lower and second upper in this paper. Furthermore, we summarize the results for the properties of approximation operators second lower and second upper when the graph G is arbitrary, serial 1, serial 2, reflexive, symmetric, tra

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Publication Date

Wed Feb 01 2017

Journal Name

International Journal Of Science And Research (ijsr)

Fibrewise Bitopological Spaces

Fibrewise bitopological spaces

fibrewise closed bitopological spaces

fibrewise open bitopological spaces

fibrewise locally sliceable bitopological spaces and fibrewise locally sectionable bitopological spaces.

Y. Y.

L. A.

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We introduce and discus recent type of fibrewise topological spaces, namely fibrewise bitopological spaces, Also, we introduce the concepts of fibrewise closed bitopological spaces, fibrewise open bitopological spaces, fibrewise locally sliceable bitopological spaces and fibrewise locally sectionable bitopological spaces. Furthermore, we state and prove several propositions concerning with these concepts.

Publication Date

Sat Jan 01 2022

Journal Name

Turkish Journal Of Physiotherapy And Rehabilitation

classification coco dataset using machine learning algorithms

learning Machine

classification

MCOCO dataset

K Nearest Neighbor's

Stochastic Gradient Descent learning (SGD)

Logistic Regression Algorithm(LR)

and Multi-Layer Perceptron (MLP).

Rasool

Bushra

Raaid

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In this paper, we used four classification methods to classify objects and compareamong these methods, these are K Nearest Neighbor's (KNN), Stochastic Gradient Descentlearning (SGD), Logistic Regression Algorithm(LR), and Multi-Layer Perceptron (MLP). Weused MCOCO dataset for classification and detection the objects, these dataset image wererandomly divided into training and testing datasets at a ratio of 7:3, respectively. In randomlyselect training and testing dataset images, converted the color images to the gray level, thenenhancement these gray images using the histogram equalization method, resize (20 x 20) fordataset image. Principal component analysis (PCA) was used for feature extraction, andfinally apply four classification metho

Publication Date

Wed Nov 01 2017

Journal Name

Al-nahrain Journal Of Science (anjs)

Fibrewise Pairwise Bi-Topological Spaces

Fibrewise bitopological spaces

Fibrewise pairwise - spaces

fibrewise pairwise -Hausdorff spaces

Fibrewise pairwise -regular spaces and fibrewise pairwise -normal spaces.

Y. Y.

L. A.

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The main idea of this research is to consider fibrewise pairwise versions of the more important separation axioms of ordinary bitopology named fibrewise pairwise - spaces, fibrewise pairwise - spaces, fibrewise pairwise - spaces, fibrewise pairwise -Hausdorff spaces, fibrewise pairwise functionally -Hausdorff spaces, fibrewise pairwise -regular spaces, fibrewise pairwise completely -regular spaces, fibrewise pairwise -normal spaces and fibrewise pairwise functionally -normal spaces. In addition we offer some results concerning it.

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Publication Date

Sun Jan 01 2023

Journal Name

International Conference Of Computational Methods In Sciences And Engineering Iccmse 2021

Fibrewise slightly topological spaces

fibrewise slightly closed topological spaces

fibrewise slightly open topological spaces

fibrewise slightly locally sliceable and fibrewise locally slightly sectionable topological spaces.

Mohammed G.

Y. Y.

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Publication Date

Mon Dec 18 2023

Journal Name

Journal Of Iraqi Al-khwarizmi

Fibrewise Multi-Compact and Locally Multi- Compact Spaces

fibrewise multi- topological spaces

fibrewise multi-compact

fibrewise locally multi-compact spaces

fibrewise multi-compact(resp.

locally multi-compac) space and some fibrewise multi-separation axioms

M.H.

Y. Y.

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The primary objective of this paper is to introduce a new concept of fibrewise topological spaces on D is named fibrewise multi- topological spaces on D. Also, we entroduce the concepts of multi-proper, fibrewise multi-compact, fibrewise locally multi-compact spaces, Moreover, we study relationships between fibrewise multi-compact (resp., locally multi-compac) space and some fibrewise multi-separation axioms.

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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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