En el contexto iraquí, el análisis de las dificultades léxicas de los estudiantes de ELE es fundamental para poder llevar a cabo prácticas que respondan dos necesidades concretas. Por un lado, ofrecer experiencias de aula que garanticen el desarrollo de competencias comunicativas que optimicen el uso adecuado de la lengua española (L2); por otro, atender a las exigencias que se hacen desde el PCIC y el MCER para tener unos parámetros claros de evaluación. Así las cosas, en este artículo se propone la caracterización de la competencia léxica como parte de las competencias lingüísticas desde la perspectiva del MCER, para señalar cuál es el alcance de su optimización para los estudiantes arabófonos en general y los ira

El Lázarillo señala a fines del reinado del emperador, el comienzo de un
nuevo género en la literatura castellana. A través de sus páginas nos adentró en un
mundo de pobreza, de
hambre secular, de hipocresía, y rodeado de problemas.
Lázaro cuenta en primera persona sus aventuras comenzando por su nacimiento, en
una aceña de las riberas del río Tormes. Condenando su padre como ladrón y, su
madre se entrega al mas vil morisco - cuya conducta deja también que desea –
haber pasado hambre y le entrega, siendo todavía un niño, a un ciego de alma ruin
para que, acompañándole, se gana la vida. Para aplacar el hambre, pues el ciego le
daba poco de comer, el muchacho le hace objeto, de repetidas tretas.

The current research discusses the topic of the formal data within the methodological framework through defining the research problem, limits and objectives and defining the most important terms mentioned in this research. The theoretical framework in the first section addressed (the concept of the Bauhaus school, the philosophy of the Bauhaus school and the logical bases of this school). The second section dealt with (the most important elements and structural bases of the Bauhaus school) which are considered the most important formal data of this school and their implications on the fabrics and costumes design. The research came up with the most important indicators resulting from the theoretical framework.
Chapter three defined the

Reservoir permeability plays a crucial role in characterizing reservoirs and predicting the present and future production of hydrocarbon reservoirs. Data logging is a good tool for assessing the entire oil well section's continuous permeability curve. Nuclear magnetic resonance logging measurements are minimally influenced by lithology and offer significant benefits in interpreting permeability. The Schlumberger-Doll-Research model utilizes nuclear magnetic resonance logging, which accurately estimates permeability values. The approach of this investigation is to apply artificial neural networks and core data to predict permeability in wells without a nuclear magnetic resonance log. The Schlumberger-Doll-Research permeability is use

       The article analyzes the neologisms that arose in the Iraqi dialect after the 2003 US-British invasion and the fall of Saddam Hussein's regime, according to the theory I advocate: "The Basic Outline of Reference," a developed theory of Arab legacy and cognitive theory, which came out in 1987 in America, so we have used the terminology of cognitive grammar. In this theory it is stated that the reference is the interaction between four components: perception, imagination, imaginative comprehension and the linguistic sign or symbolization (the neological word in this article), which are closely related, so that none of them can be lacking, because they constitute a holistic whole that belongs to a deeper level. Let us

Generally, statistical methods are used in various fields of science, especially in the research field, in which Statistical analysis is carried out by adopting several techniques, according to the nature of the study and its objectives. One of these techniques is building statistical models, which is done through regression models. This technique is considered one of the most important statistical methods for studying the relationship between a dependent variable, also called (the response variable) and the other variables, called covariate variables. This research describes the estimation of the partial linear regression model, as well as the estimation of the “missing at random” values (MAR). Regarding the

Precise forecasting of pore pressures is crucial for efficiently planning and drilling oil and gas wells. It reduces expenses and saves time while preventing drilling complications. Since direct measurement of pore pressure in wellbores is costly and time-intensive, the ability to estimate it using empirical or machine learning models is beneficial. The present study aims to predict pore pressure using artificial neural network. The building and testing of artificial neural network are based on the data from five oil fields and several formations. The artificial neural network model is built using a measured dataset consisting of 77 data points of Pore pressure obtained from the modular formation dynamics tester. The input variables

In recent years, the Global Navigation Satellite Services (GNSS) technology has been frequently employed for monitoring the Earth crust deformation and movement. Such applications necessitate high positional accuracy that can be achieved through processing GPS/GNSS data with scientific software such as BERENSE, GAMIT, and GIPSY-OSIS. Nevertheless, these scientific softwares are sophisticated and have not been published as free open source software. Therefore, this study has been conducted to evaluate an alternative solution, GNSS online processing services, which may obtain this privilege freely. In this study, eight years of GNSS raw data for TEHN station, which located in Iran, have been downloaded from UNAVCO website