The present paper deals with medical terms translation and its relationship with the medical text of Arabic and Spanish. Medical translation is the process of transferring texts related to the field of health and medicine to achieve an accurate effective translation from the source language text to the equivalent target language text. The most prominent medical translations are from English to Arabic as most of the syllabuses in Arab countries are taught in English.
Translation is an innovative work intended to render the original text in the source language into the target language with the highest level of linguistic and intellectual ability, through maintaining the utmost integrity of the text by using the core meaning present in the source text to create a new whole, namely, the target text. The present study object is to study and analyze medical texts of Arabic and Spanish according to medical translation. The study seeks solutions to medical term translation problems and corrects some of the translated medical terms errors. The study uses various dictionaries to analyze medical terms, including (DLE) dictionary, (AZ) medical dictionary and electronic dictionary (Reverso context).
Through the analysis of the translated medical terms and its idiomatic body, the present study sheds light on the importance of the translated medical terms and the great role it plays in the development of medical science.
The study’s main goal addresses the issues and the problems of the translation of medical texts into Arabic from all its related aspects.
Resumen
En este estudio, hemos presentado de traducir los términos médicos y su relación con el texto médico entre el árabe y el español. La traducción médica es el proceso de transferencia de textos relativos al campo de la salud y la medicina desde un idioma denominado " lenguaje de referencia " a los otros idiomas, conocido como idioma de destino, con la multiplicidad de tipos de idiomas de origen y destino, pero las traducciones médicas más destacadas son del inglés al árabe, al igual que la mayoría de los planes de estudios médicos en nuestros países árabes que se imparten en inglés.
La traducción es un trabajo innovador, destinado a reformular el texto original con el alto nivel de habilidad lingüística e intelectual, manteniendo la máxima integridad para el texto, su espíritu y su contenido. Su objetivo es estudiar los textos médicos y analizarlos entre el árabe y el español sobre las bases en la traducción de textos, términos médicos y otros. Además, buscar soluciones a este problema del término médico. Mientras tanto, utilizaremos varios diccionarios para analizar términos, incluido el diccionario (DLE), el diccionario médico (AZ) y el diccionario electrónico (Reverso context), haremos un estudio analítico de estos términos médicos.
También se corrigió lo incorrecto, revelando así la estructura del término extranjero y árabe y la idea de su nombre, la traducción fue la causa del desarrollo de la ciencia médica.
En mi estudio de los términos médicos, he tratado absorber la fertilidad del cuerpo idiomático en beneficio de la traducción médica y de la lengua árabe, hemos presentado de este estudio de términos médicos, analizándolos y criticándolos.
Nuestro interés en esta investigación ha sido abordar el tema de la traducción de textos médicos al lenguaje árabe y al problema de la transferencia del término médico, y hemos intentado contener este estudio en todos los aspectos relacionados.
Differences in transversal sections and activities of geomorphological operations led to forming geomorphological shapes as river turns and river isles in watercourse in the area of study. The study showed three river turns that are Sindia turn with length 4723m, turn wave 3599 average width 267.6, Zanbour turn length 11374m, turn wave 7110 average width 307.5m,and Dojama turn with length 5876m, turn wave 4982m average width 313.4m. This difference is caused by the activity of erosion and sedimentation that led to the appearance of the length rivers turn.
The study showed that the turn of Dojama is the only corresponding turn, whereas the phenomena of corresponding never appeared in other turns in the area of study. The study also sho
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shadow and water bodies for high-resolution satellite images (4-
meter) of Baghdad city, have been modulated the equations of the
color space components C1-C2-C3. Have been using the color space
component C3 (blue) for discriminating the shadow, and has been
used C1 (red) to detect the water bodies (river). The new technique
was successfully tested on many images of the Google earth and
Ikonos. Experimental results show that this algorithm effective to
detect all the types of the shadows with color, and also detects the
water bodies in another color. The benefit of this new technique to
discriminate between the shadows and water in fast Matlab pro
The study of surface hardness, wear resistance, adhesion strength, electrochemical corrosion resistance and thermal conductivity of coatings composed from sodium silicate was prepared using graphite micro-size particles and carbon nano particles as fillers respectively of concentration of (1-5%), for the purpose of covering and protecting the oil distillation towers. The results showed that the sodium silicate coating reinforced with carbon nano-powder has higher resistance to stitches, mechanical wear, adhesive and thermal conductivity than graphite/sodium silicate composite especially when the ratio 5% and 1%, the electrochemical corrosion test confirmed that the coating process of stainless steel 304 lead to increasin
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Ketoprofen has recently been proven to offer therapeutic potential in preventing cancers such as colorectal and lung tumors, as well as in treating neurological illnesses. The goal of this review is to show the methods that have been used for determining ketoprofen in pharmaceutical formulations. Precision product quality control is crucial to confirm the composition of the drugs in pharmaceutical use. Several analytical techniques, including chromatographic and spectroscopic methods, have been used for determining ketoprofen in different sample forms such as a tablet, capsule, ampoule, gel, and human plasma. The limit of detection of ketoprofen was 0.1 ng/ ml using liquid chromatography with tandem mass spectrometry, while it was 0
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using transformation techniques for feature extraction methods; namely, slantlet transform
(SLT), discrete wavelet transforms (DWT) type Daubechies Db1 and Db4. Furthermore, a
modified artificial neural network (ANN) with dynamic time warping (DTW) algorithm is
developed to train a speech recognition system to be used for classification and recognition
purposes. T