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MCD (LOS MARCADORES DISCURSIVOS) The pragmatic analysis of discourse markers (The argumentative texts of the ABC newspaper as a model): El análisis pragmático de los marcadores discursivos (Los textos argumentativos del periódico ABC como modelo)
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When writing a text, such as a newspaper article, various types of discourse markers are frequently used to group sentences into paragraphs and parts in order to establish a discourse with certain functions, such as coordination, orientation, emphasizing the concepts presented, etc. It should also be noted that this type of mark exists in both written and spoken language. Therefore, it is convenient to dedicate a chapter to these linguistic elements to clarify their use and their classification, which is mainly based on Jose Portolés (2001), as well as the main features, specifically their features (prosodic, morphological, semantic and pragmatic).

Resumen

Al redactar un texto، como un artículo de periódicos، se utilizan con frecuencia varios tipos de MCD (los marcadores discursivos) para agrupar las oraciones en párrafos y secciones con el fin de establecer un discurso con discuencia varios tipos de MCD (los marcadores discursivos) para agrupar las oraciones en párrafos y secciones con el fin de establecer un discurso con selectaro or funciones، com. المفاهيم الحالية ، وما إلى ذلك. Por tanto، conviene dedicar un capítulo a estos elementos lingüísticos para aclarar su uso y su clasificación que se basa Principmente en Portolés (2001)، ademas los rasgos Principales، en concreto sus rasgos (prosódicos، morfolótic yos). Palabras claves : los marcadores discursivos ، analisis pragmatico ، texto مناقشة

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Publication Date
Mon May 06 2024
Journal Name
Journal Of Ecological Engineering
Using Machine Learning Algorithms to Predict the Sweetness of Bananas at Different Drying Times
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The consumption of dried bananas has increased because they contain essential nutrients. In order to preserve bananas for a longer period, a drying process is carried out, which makes them a light snack that does not spoil quickly. On the other hand, machine learning algorithms can be used to predict the sweetness of dried bananas. The article aimed to study the effect of different drying times (6, 8, and 10 hours) using an air dryer on some physical and chemical characteristics of bananas, including CIE-L*a*b, water content, carbohydrates, and sweetness. Also predicting the sweetness of dried bananas based on the CIE-L*a*b ratios using machine learn- ing algorithms RF, SVM, LDA, KNN, and CART. The results showed that increasing the drying

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Publication Date
Sat Nov 05 2022
Journal Name
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Sun Jan 01 2023
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Sat Dec 01 2018
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Impact of nanoparticles on the CO2-brine interfacial tension at high pressure and temperature
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The Response of Reinforced Concrete Composite Beams Reinforced with Pultruded GFRP to Repeated Loads
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