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.
We can summarize the main risk factors for type 2 diabetes mellitus (T2DM) by looking at our nutrition, age, and lifestyle. β-cell dysfunction and insulin resistance (IR) are outcomes of the pathophysiology of type 2 diabetes. As an indirect result of IR on important metabolic enzymes, lipid and lipoprotein abnormalities are also a factor in T2DM patients. Recent research has indicated that lipid fluctuation may be the cause of poor glucose metabolism as well as one of its effects. Fatty acids (FAs) affect cell membrane fluidity and permeability, insulin receptor binding and signaling, and the translocation of glucose transporters. Therefore, it is suggested that FAs might play a crucial part in the emergence of IR and T2DM. The cu
... Show MoreStudy was done in the period between (2015–2017) in biology department in college of Education for pure science/Ibn Al-Haitham at Baghdad University and in Pathology department/college of medicine at Al-Nahrain University. The study was retrospectively designed. The clinicopathological parameters were obtained from patients’ admission case sheets and pathology reports (age, gender). The presents study included 120 patients having thyroid nodules, classified according to results of histopathology into 4 groups, 30 patients within each; the first group included patients with follicular adenoma, the second group included patients with follicular carcinoma, the third group included patients with follicular variant of papillary carcinoma (FV
... Show MoreWe can summarize the main risk factors for type 2 diabetes mellitus (T2DM) by looking at our nutrition, age, and lifestyle. β-cell dysfunction and insulin resistance (IR) are outcomes of the pathophysiology of type 2 diabetes. As an indirect result of IR on important metabolic enzymes, lipid and lipoprotein abnormalities are also a factor in T2DM patients. Recent research has indicated that lipid fluctuation may be the cause of poor glucose metabolism as well as one of its effects. Fatty acids (FAs) affect cell membrane fluidity and permeability, insulin receptor binding and signaling, and the translocation of glucose transporters. Therefore, it is suggested that FAs might play a crucial part in the emergence of IR and T2DM. The cu
... Show MoreAl-Manas and Al-Muhais are two words in a close sense of the strange words of the Holy Quran. The word Al-Manas was mentioned once in the Holy Qur'an in Surat (PBUH). ) / 36 .. What we will see in the folds of the search, God willing.
We can summarize the main risk factors for type 2 diabetes mellitus (T2DM) by looking at our nutrition, age, and lifestyle. β-cell dysfunction and insulin resistance (IR) are outcomes of the pathophysiology of type 2 diabetes. As an indirect result of IR on important metabolic enzymes, lipid and lipoprotein abnormalities are also a factor in T2DM patients. Recent research has indicated that lipid fluctuation may be the cause of poor glucose metabolism as well as one of its effects. Fatty acids (FAs) affect cell membrane fluidity and permeability, insulin receptor binding and signaling, and the translocation of glucose transporters. Therefore, it is suggested that FAs might play a crucial part in the emergence of IR and T2DM.
Water represents as a basic intellectual material in the myths of creation and the start of formation, Thus, water has turned into an intellectual material in literary mythological texts in addition to its function in sculptural Mesopotamian sculpture. The research is in three sections: the first section deals with Myth, its concept, peculiarities and types, the second section is about mythological literature, the third section is about the idea of water and mythical literature. The question research question here is that does the idea of water have any impact on mythological literature? And Does it link to sculptural products? The importance of the research is that it shows the human imagination and its relationship to functioni
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antimicrobial solutions against Coliforms, E. coli O157: H7, yeasts and molds were evaluated by agar well diffusion method. Chitosan (CH) exhibited best antimicrobial activity against the treated microorganisms at concentration of (5%) with contact time for 6hrs at refrigeration temperature (4ÚC), zones of inhibition for (GA) and (CH) for each solution alone ranging from (0 to 10 mm), chitosan solution (CH) exhibited both antibacterial and antifungal activities, Gum Arabic washing solution showed significant antibacterial activity (P < 0.05) against the microorganisms at concentration (15%), without inhibitory effect against E. coli O157:H7 at concentration (10%), in the current study the results confirmed that (15%) (w/v) of GA and 5%
... Show MoreThe field of Optical Character Recognition (OCR) is the process of converting an image of text into a machine-readable text format. The classification of Arabic manuscripts in general is part of this field. In recent years, the processing of Arabian image databases by deep learning architectures has experienced a remarkable development. However, this remains insufficient to satisfy the enormous wealth of Arabic manuscripts. In this research, a deep learning architecture is used to address the issue of classifying Arabic letters written by hand. The method based on a convolutional neural network (CNN) architecture as a self-extractor and classifier. Considering the nature of the dataset images (binary images), the contours of the alphabet
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