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The Problem of Translating Antonyms in The Holy Qur’an into German’’, in an analytical manner: Das Übersetzungsproblem der Antonyme im Heiligen Koran ins Deutsche Analytische Studie
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The present study is entitled “Problems of Translating Holy Qur’an Antonyms into German: An Analytical Study”. It discusses some of the problems of translating Holy Qur’an verses that contain words so opposite in meaning to another word. The main concern of the study stresses some of the errors in translating the oppositeness of certain words of Holy Qur’an from Arabic into other languages like German, a problem that can be traced back to the fact that such words may have two opposites in meaning, one is considered and the other is completely neglected.

      The errors in translating al Qur’an Antonyms can be summarized for several reasons: literal translation, ignorance of the different views of both the linguists and AlQur’an interpreters in conveying the meanings of the opposites, generalizing and specification of the opposites in meaning, interpreting one main meaning of the opposites and ignoring the other one, the absence of the word in the target language that closely indicates the meaning in the source language, depending entirely on the most correct opinion of the meaning, ignorance of an extra meaning other than the opposites, depending on the personal interpretation and mistranslating certain opposites either intentionally or unintentionally.

Vorwort

Die vorliegende Forschungsarbeit handelt das Übersetzungsproblem von Antonymen in den Heiligen Koran- Versen ins Deutsche auf beschreibende und analytische Weise ab. Dieses Thema ist großer von Bedeutung besonders für die nicht-arabische Muslime, d.h., die deutschstämmige Muslime, die die arabische Sprache nicht sprechen kann. Der Grund für diese Studie ist das Auftreten einiger Fehler beim Übersetzen von Gegensätzen im Koran ins Deutsche und  veranschaulicht sie auch in vereinfachter Form die Gründe dieser Fehler bei der Übersetzung von diesen Gegensätzen. Der Grund für diese Fehler im Übersetzungsprozess ist die Existenz von Wörtern, die zwei gegensätzlichen Bedeutungen in den einigen Koran- Versen, sozusagen (die Antonyme) enthalten, d.h., ein Gegenwort, das zu einem anderen Wort eine gegensätzliche Bedeutung hat, oder aus dem  Semantikaspekt ist es ( das Antonym) ein Wort, dessen Bedeutung das genaue Gegenteil zu der eines anderen Wortes ausdrückt.

Die Forschungsfrage liegt darin, dass mehrere Fehler beim Übersetzen der Antonyme im Heiligen Koran gemacht werden. Die Ursachen dieser Übersetzungsfehler können wir ja auf die Wörter, die zwei gegensätzlichen Bedeutungen enthalten, zurückführen, deshalb hatten die Übersetzungen oftmals vor, eine von den beiden Bedeutungen zu nehmen und die andere zu ignorieren. Wir können überhaupt einige dieser Probleme aufzählen, in die die Übersetzer des Heiligen Korans beim Übersetzen dieser Antonyme geraten sind. Sie sind zum Beispiel: die wörtliche Übersetzung; die Übersetzer der Koransbedeutungen haben keine  gute bzw. ausreichende Kenntnis über die  Meinungen von Linguisten hinsichtlich der Bedeutung dieses Wortes; die Differenzen der Linguisten und Koran-Interpreten über die Bedeutungen des Korans; Verallgemeinerung der semantischen Bedeutung der Ausdrücke; das Fehlen eines Wortes in der Zielsprache deutet auf die gleiche Bedeutung in der Ausgangssprache hin; die persönliche Meinung des Übersetzers und die Antonyme können absichtlich oder versehentlich nicht übersetzt werden. Alle diese Dinge waren insgesamt die Hauptursache für die Fehler beim Übersetzen der Kontrastausdrücke in den heiligen Koran Versen.                                                                                 

 

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Publication Date
Thu Oct 29 2020
Journal Name
Complexity
Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting
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The hydrological process has a dynamic nature characterised by randomness and complex phenomena. The application of machine learning (ML) models in forecasting river flow has grown rapidly. This is owing to their capacity to simulate the complex phenomena associated with hydrological and environmental processes. Four different ML models were developed for river flow forecasting located in semiarid region, Iraq. The effectiveness of data division influence on the ML models process was investigated. Three data division modeling scenarios were inspected including 70%–30%, 80%–20, and 90%–10%. Several statistical indicators are computed to verify the performance of the models. The results revealed the potential of the hybridized s

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Sat Jan 01 2022
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Publication Date
Fri Mar 01 2024
Journal Name
Journal Of Education And Health Promotion
Nurses' knowledge and protective health behaviors about prevention of COVID-19 pandemic complications at Baghdad Teaching Hospitals
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BACKGROUND:

Coronavirus disease (COVID-19) is a global pandemic caused by the severe acute respiratory syndrome coronavirus, SARS-CoV-2. Infection with SARS-CoV-2 primarily occurs through binding to angiotensin-converting enzyme-2 (ACE2), which is abundantly expressed in various anatomical sites, including the nasopharynx, lungs, cardiovascular system, and gastrointestinal and genitourinary tracts. This study aimed to nurses' knowledge and protective health behaviors about prevention of covid-19 pandemic complications.

MATERIALS AND METHODS:

A descriptive design stud

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Publication Date
Fri Sep 01 2023
Journal Name
Journal Of Ecological Engineering
Modification of Electro-Fenton Process with Granular Activated Carbon for Phenol Degradation – Optimization by Response Surface Methodology
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As a result of rapid industrialization and population development, toxic chemicals have been introduced into water systems in recent decades. Because of its excellent efficiency and simple design, the three-dimensional (3D) electro-Fenton method has been used for the treatment of wastewater. The goal of the current study is to explore the efficiency of phenol removal by the 3D electro-Fenton process, which is one of the advanced oxidation processes (AOPs). In the present work, the effect of the addition of granular activated carbon (GAC) particles to the electro-Fenton system as the third electrode would be investigated in the presence of graphite as the anode and nickel foam as the cathode, which is the source of electro-generated hydrogen

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Wed May 01 2019
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Biomineralization based remediation of cadmium and nickel contaminated wastewater by ureolytic bacteria isolated from barn horses soil
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Publication Date
Fri Mar 15 2019
Journal Name
Al-khwarizmi Engineering Journal
Effect Use of Two Chemical Compounds Sodium Nitrate and Sodium Silicate as Corrosion Inhibitor to Steel Reinforcement
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Corrosion of steel reinforcement is one of the biggest problems facing all countries in the world like bridges in the beach area and marine constructions which lead to study these problems and apply some economical solutions. According to the high cost of repair for these constructions, were studied the effect of using kind of chemical compounds sodium nitrite(NaNO2) and sodium silicate(Na2SiO3) as corrosion inhibitors admixture for steel bars that immersed partially in electrolyte solution (water + sodium chloride in 3% conc.) (Approximately similar to the concentration of salt in sea water). The two inhibitors above added each one to the electrolyte solution at concentrations (0.5%, 1% and 2%) for both

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Publication Date
Mon Nov 27 2023
Journal Name
Korean Journal Of Orthodontics
Effectiveness of laser-engineered copper-nickel titanium versus superelastic nickel-titanium aligning archwires: A randomized clinical trial
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Publication Date
Fri Jul 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
Comparison some of methods wavelet estimation for non parametric regression function with missing response variable at random
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Abstract

 The problem of missing data represents a major obstacle before researchers in the process of data analysis in different fields since , this problem is a recurrent one in all fields of study including social , medical , astronomical and clinical experiments .

The presence of such a problem within the data to be studied may influence negatively on the analysis and it may lead to misleading conclusions , together with the fact that these conclusions that result from a great bias caused by that problem in spite of the efficiency of wavelet methods but they are also affected by the missing of data , in addition to the impact of the problem of miss of accuracy estimation

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Publication Date
Thu Apr 21 2022
Journal Name
Journal Of Ecological Engineering
Simultaneous Adsorption of Ternary Antibiotics (Levofloxacin, Meropenem, and Tetracycline) by SunFlower Husk Coated with Copper Oxide Nanoparticles
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In this study, a new adsorbent derived from sunflower husk powder and coated in CuO nanoparticles (CSFH) was investigated to evaluate the simultaneous adsorption of Levofloxacin (LEV), Meropenem (MER), and Tetracycline (TEC) from an aqueous solution. Significant improvements in the adsorption capacity of the sunflower husk were identified after the powder particles had been coated in CuO nanoparticles. Kinetic data were correlated using a pseudo-second-order model, and was successful for the three antibiotics. Moreover, high compatibility was identified between the LEV, MER, and TEC, isotherm data, and the Langmuir model, which produced a better fit to suit the isotherm curves. In addition, the spontaneous and exothermic nature of the adsor

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Publication Date
Sat Dec 30 2023
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Oxidative Desulfurization of Simulated Diesel Fuel by Synthesized Tin Oxide Nano-Catalysts Support on Reduced Graphene Oxide
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   The modified Hummers method was applied to prepare graphene oxide (GO) from the graphite powder. Tin oxide nanoparticles with different loading (10-20 wt.%) supported on reduced graphene oxide were synthesized to evaluate the oxidative desulfurization efficiency. The catalyst was synthesized by the incipient wetness impregnation (IWI) technique. Different analysis methods like FT-IR, XRD, FESEM, AFM, and Brunauer-Emmett-Teller (BET) were utilized to characterize graphene oxide and catalysts. The XRD analysis showed that the average crystal size of graphene oxide was 6.05 nm. In addition, the FESEM results showed high metal oxide dispersions on the rGO. The EDX analysis shows the weight ratio of Sn is close to its theoretical weight.

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