: translating acronyms of media and international (& world) organizations helps the researcher to draw the following conclusions:1- Acronyms of world news agencies can be translated into Arabic in three ways: by indicating the lexical meaning; by indicating English abbreviated form as letter by letter & by indicating Arabic abbreviated form as a word. 2- Acronyms of world satellite TV's can be translated into Arabic in two ways: by indicating the lexical meaning & by indicating English abbreviated form as letter by letter. 3- Acronyms of world newspapers can be translated into Arabic in two ways: by indicating both the lexical meaning & Arabic transliteration of the English form. 4- Acronyms of U.N. & world organizations can be translated into Arabic in three ways: by indicating the lexical meaning; by indicating English abbreviated form as letter by letter & by indicating Arabic abbreviated form as a word. Thus, acronyms in the fields, under study, are either letter or syllabic. This verifies hypothesis no. (4). From the above tables of acronyms, the researcher notices that translation & transliteration can be both applied on in dealing with acronyms. This verifies hypothesis no. (5). Other hypotheses can be verified easily by noticing the wide progress, the world of communication & media witnesses.
With the emergence of modern information and communication, scientific progress in all fields of life and knowledge, in our world of today, have led to the appearance of large number of terms that are used to designate various concepts and discoveries, as speed plays a big role in stirring all aspects of life that surround us to the extent to be the main trait of our life. By such progress, the need to reduce full names and terms of concepts, shortening them into smaller ones, emerges to the surface as using such names and terms in full causes trouble, disturbance and waste of time & efforts in speech, writing & printing. To solve this complex situation, using the initial letters of words appears to be one smooth solution. This process is called "Acronymy" and the letters being abbreviated "Acronyms". The usage of acronyms is a relatively new linguistic phenomenon as the art of reducing a sequence of words to their initial letters became well created, developed & used increasingly in the 50s & 60s of the 20th century (1). It is a real reflection of the main characteristics of modern era which witnesses a revolution in technical & scientific discoveries. The first acronym was included in the Oxford English Dictionary in 1943 despite the fact that the word "initialisms" first appeared in the same dictionary in 1899 (2). It did not come into general use until 1965, well after "acronym" had become common. The current study will take the exploration of the phenomenon of acronyms, abbreviations & initialisms as its main goal, trying to present full discussion about its definitions, formulations, types, orthography and pronunciation. It sheds light on how to translate English acronyms into Arabic, suggesting different methods. It, also, highlights the challenges & difficulties they may pose in front of the translators and how such challenges & difficulties can be solved and surmounted.
Hypotheses: It is hypothesized that:1) Acronyms, in all various forms & styles, reflect the scientific and technological advancement & progress our world witnesses.2) Acronyms are used increasingly in the world of media and international policy circles as they cut off time & efforts being wasted in speech, writing and printing.3) Communication field represents the best environment to create acronyms.4) media & U.N.(international) organizations are mainly letter & syllabic acronyms.5) Translation and transliteration are both applied on the acronyms both fields.
Aims: The current study aims at :a) Discussing acronyms historically and theoretically in detail. b) Handling the issue of translating English acronyms into Arabic & suggesting ways of translation that can be useful, sufficient and effective. c) Making lists of acronyms that are of significance in the world of media & U.N. with their translations.
The development of technology used in computerized programs is considered on of the most important topics that is responsible for creating tools that can be used in the business environment, the audit profession is one of those professions that received this development. In order for this profession to be more effective, there must be a tool based on sound (correct) scientific basis that can be based upon to enhance the quality of auditing. The research also aims to propose a computerized program to plan the auditing process according to the methods appropriate to the working environment in the audit offices and companies in Iraq. The computerized program was applied to the research sample and the hypothesis of the research has been prov
... Show MoreIn this article, we will present a quasi-contraction mapping approach for D iteration, and we will prove that this iteration with modified SP iteration has the same convergence rate. At the other hand, we prove that the D iteration approach for quasi-contraction maps is faster than certain current leading iteration methods such as, Mann and Ishikawa. We are giving a numerical example, too.
Cerium (III), Neodymium (III) and Samarium (III) Complexes existent a wide range of implementation that stretch from their play in the medicinal and pharmaceutical area because of their major significant pharmacological characteristic such as antifungal, anti-cancer, anti-bacterial ,anti-human immunodeficiency virus ,antineoplastic, anti-inflammation,inhibition corrosion,in some industrial (polymers, Azo dye).It is likely to open avenuesto research among various disciplines such as physics, electronics, chemistry and materials science by these complexes that contain exquisitely designed organic molecules.This paper reviews the definition, importance and various applications of Cerium (III), Neodymium (III) and Samarium (III) Complexe
... Show MoreThis study focused on extracting the outer membrane nanovesicles (OMVs) from Escherichia coli BE2 (EC- OMVs) by ultracentrifugation, and the yield was 2.3mg/ml. This was followed by purification with gel filtration chromatography using Sephadex G-150, which was 2mg/ml. The morphology and size of purified EC-OMVs were confirmed by transmission electron microscopy (TEM) at 40-200 nm. The nature of functional groups in the vesicle vesicle was determined by Fourier transforms infrared spectroscopy (FT-IR) analysis. The antitumor activity of EC-OMVs was conducted in vitro by MTT assay in human ovarian (OV33) cancer cell line at 24,48 and 96hrs. The cytotoxicity test showed high susceptibility to the vesicles in ovarian compared to normal
... Show MorePotential health and environmental effects of nanoparticles need to be thoroughly assessed before their widespread commercialization. The present investigation was planned with the aims to determine the effects of gold nanoparticles (GNPs) on blast (BI) and mitotic (MI) indices of cultured lymphocytes. The results revealed that BI (50.3±2.3, 30.2±1.9, 10.5±0.7 and 0.0%, respectively) and MI (70.1±2.9, 20.4±1.1, 5.3±0.1 and 0.0%, respectively) showed a gradual decreased percentage as the concentration of GNPs was increased from 0.085 to 0.66 µg/mL, and the difference was significant compared to control culture (81.6±2.5 and 90.2±3.7%, respectively). A maximum inhibition of BI and MI was occurred at the concentration 0.66 µg/mL. In
... Show MoreThe interests toward developing accurate automatic face emotion recognition methodologies are growing vastly, and it is still one of an ever growing research field in the region of computer vision, artificial intelligent and automation. However, there is a challenge to build an automated system which equals human ability to recognize facial emotion because of the lack of an effective facial feature descriptor and the difficulty of choosing proper classification method. In this paper, a geometric based feature vector has been proposed. For the classification purpose, three different types of classification methods are tested: statistical, artificial neural network (NN) and Support Vector Machine (SVM). A modified K-Means clustering algorithm
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