Los términos árabes e islámicos en la prensa española: comprensión, traducción y uso. El caso del diario El País

La tesis aborda el tema del uso de términos árabes e islámicos en la prensa española tomando como referencia los textos de las noticias aparecidas en el diario El País. En la investigación se ha procedido a la compilación de los términos árabes e islámicos que son utilizados en dichas noticias junto a su traducción y se ha realizado la valoración de la misma y el empleo de ambos, término árabe o islámico y su traducción, dentro del contexto informativo de cada una de las noticias

Predicting the outcomes of traumatic brain injury using accurate and dynamic predictive model

Predictive models have been used widely to predict the diseases outcomes in health sector. These predictive models are emerged with new information and communication technologies. Traumatic brain injury has recognizes as a serious and crucial health problem all over the world. In order to predict brain injuries outcomes, the predictive models are still suffered with predictive performance. In this paper, we propose a new predictive model and traumatic brain injury predictive model to improve the predictive performance to classifying the disease predictions into different categories. These proposed predictive models support to develop the traumatic brain injury predictive model. A primary dataset is constructed which is based on approved set of features by the neurologist. The results of proposed model is indicated that model has achieved the best average ranking in terms of accuracy, sensitivity and specificity

AWARENESS ABOUT THE DRUG SAFETY AND MEDICATION USE AMONG THE PREGNANT WOMEN OF THE NORTHERN BORDER REGION OF SAUDI ARABIA

The inappropriate drug use during the pregnancy may cause serious complications. However, the consumption of drugs during the pregnancy cannot be totally avoided because of the existing chronic illness that may require continuous treatment or the development of new medical conditions during pregnancy that require therapeutic intervention. The main objective of this study was to evaluate the awareness about the drug safety and medication use among the pregnant women of the Northern Border Region of the Kingdom of Saudi Arabia. This cross-sectional study was carried out using a pretested and structured questionnaire among the pregnant women (N = 50) of the rural area, near Arar City and Rafha City, of the Northern Border Region of the Kingdom of Saudi Arabia. The data obtained was analyzed using the Statistical Package for Social Sciences (SPSS) version 19. It was surprising to note that neither doctors nor the pharmacists provided full information about the medicine to more than 3/4th of the patients. This type of practice by the doctors and pharmacist may pose pregnancy related problems to the expecting mothers and may lead to serious consequences. There is an urgent need to take remedial actions regarding this issue by the concerned authorities of the Northen Border Region of the Kingdom of Saudi Arabia. Keywords: Awareness, Safety, Drug, Pregnancy, Northern Border, Saudi Arabia

Type 1 and Type 2 Diabetes among Youths in Jordan: Incidence and Trends for the period (2011-2016)

This study aimed at analyzing the incidence of Type 1 and Type 2 diabetes among youths in Jordan for the period (2011-2016), the researchers adopted the survey methodology for the period of five years from the records of the medical centers (public and private) in Jordan. Also investigated the differences between Type 1 and Type 2 diabetes in diagnosis and treatments. Results showed significant upward trend in the incidence of type 1 diabetes was observed overall with considerable variation across demographic subgroups of age, sex. And also showed among youths who were 10 to 19 years of age, unadjusted models revealed significant increases in the incidence of type 2 diabetes with increases observed across all age and sex

Awareness and Regulatory Measures in Caffeine Addiction: Medical Statistical Review

This study aimed at analyzing the degree of awareness and regulatory measures in the caffeine addiction within a medical statistical survey in Jordan, by attempting to answer the study two questions: What are the level of awareness and regulatory measures in caffeine addiction for positive psychological effects (alertness, attention and concentration)?, and: What are the level of awareness and regulatory measures in caffeine addiction for negative psychological effects (anxiety, depression and irritable)? The results of the study showed that there will be a statistically significant differences at the level of significance (α=0.05) of the awareness of caffeine addiction for both positive psychological effects (alertness, attention and concentration) and negative psychological effects (anxiety, depression and irritable) in Jordan. The researchers recommended to educate university students about the importance of controlling their caffeine intakes, and encourage university students to exploit the medical information provided by the medical studies about the risks of high doses of caffeine intakes

Using ANN and combined capacitive sensors to predict the void fraction for a two-phase homogeneous fluid independent of the liquid phase type

Measuring the void fraction of different multiphase flows in various fields such as gas, oil, chemical, and petrochemical industries is very important. Various methods exist for this purpose. Among these methods, the capacitive sensor has been widely used. The thing that affects the performance of capacitance sensors is fluid properties. For instance, density, pressure, and temperature can cause vast errors in the measurement of the void fraction. A routine calibration, which is very grueling, is one approach to tackling this issue. In the present investigation, an artificial neural network (ANN) was modeled to measure the gas percentage of a two-phase flow regardless of the liquid phase type and changes, without having to recalibrate. For this goal, a new combined capacitance-based sensor was designed. This combined sensor was simulated with COMSOL Multiphysics software. Five different liquids were simulated: oil, gasoil, gasoline, crude oil, and water. To estimate the gas percentage of a homogeneous two-phase fluid with a distinct type of liquid, data obtained from COMSOL Multiphysics were used as input to train a multilayer perceptron network (MLP). The proposed neural network was modeled in MATLAB software. Using the new and accurate metering system, the proposed MLP model could predict the void fraction with a mean absolute error (MAE) of 4.919

Diagnostic Imaging and Radiation Therapy in the Arab World: A New Model of Advanced Practice

This study aimed at suggesting a new model for advanced practice in the diagnostic imaging and radiation therapy in the Arab World by presenting a comparative study between the different medical imaging techniques, the concepts, benefits, risks and medical applications of these techniques has been presented with details. Attempting For building a new model of advanced practice for the diagnostic role of  imaging and radiation therapy in the Arab World; by analyzing the current status of the imaging and radiation therapy in the Arab World, and then surveying the different medical imaging techniques. Then  to suggest a model of best practices upon the outcomes of the study

Correlations for total entropy generation and Bejan number for free convective heat transfer of an eco-friendly nanofluid in a rectangular enclosure under uniform magnetic field

In this paper, focusing on the study of entropy generation (EGN), the convection flow of an eco-friendly nanofluid (N-F) in a rectangular enclosure is studied numerically. The nanoparticles (N-Ps) used are silver N-P, which are obtained in an eco-friendly manner from natural materials. By suspending these N-Ps in an equal mixture of water and ethylene glycol (E-G), the N-F has been prepared. There are two constant-temperature triangular obstacles with height w and base H that are placed on the hot wall. There is a magnetic field (M-F) in the x-direction. To simulate the N-F flow, eco-friendly N-P relations are used, and the equations are solved using the volume control method and the SIMPLE algorithm. The variables include Rayleigh number (Ra), Hartmann number (Ha), H, W, and the volume fraction of silver N-Ps. The effect of these parameters is evaluated on the EGN and Bejan number (Be). Finally, a correlation is expressed for the EGN for a range of variables. The most important results of this paper demonstrate that the addition of silver eco-friendly N-Ps intensifies the EGN so that the addition of 3% of N-Ps enhances the EGN by 3.8%. An increment in the obstacle length reduces the Be barrier while increasing the Ha, which enhances the Be when the convection is strong. Increasing the height of the obstacle intensifies entropy generation.Taif University, Taif, Saudi Arabia.https://www.mdpi.com/journal/processesam2022Mechanical and Aeronautical Engineerin

Simulation of nanofluid flow in a micro-heat sink with corrugated walls considering the Effect of Nanoparticle Diameter on Heat Sink Efficiency

In this numerical work, the cooling performance of water–Al2O3 nanofluid (NF) in a novel microchannel heat sink with wavy walls (WMH-S) is investigated. The focus of this article is on the effect of NP diameter on the cooling efficiency of the heat sink. The heat sink has four inlets and four outlets, and it receives a constant heat flux from the bottom. CATIA and CAMSOL software were used to design the model and simulate the NF flow and heat transfer, respectively. The effects of the Reynolds number (Re) and volume percentage of nanoparticles (Fi) on the outcomes are investigated. One of the most significant results of this work was the reduction in the maximum and average temperatures of the H-S by increasing both the Re and Fi. In addition, the lowest Tmax and pumping power belong to the state of low NP diameter and higher Fi. The addition of nanoparticles reduces the heat sink maximum temperature by 3.8 and 2.5% at the Reynolds numbers of 300 and 1800, respectively. Furthermore, the highest figure of merit (FOM) was approximately 1.25, which occurred at Re 1800 and Fi 5%. Eventually, it was revealed that the best performance of the WMH-S was observed in the case of Re 807.87, volume percentage of 0.0437%, and NP diameter of 20 nm.Taif University, Taif, Saudi Arabiahttp://www.frontiersin.org/Energy_Researcham2022Mechanical and Aeronautical Engineerin

The influence of forced convective heat transfer on hybrid nanofluid flow in a heat exchanger with elliptical corrugated tubes : numerical analyses and optimization

The capabilities of nanofluids in boosting the heat transfer features of thermal, electrical and power electronic devices have widely been explored. The increasing need of different industries for heat exchangers with high efficiency and small dimensions has been considered by various researchers and is one of the focus topics of the present study. In the present study, forced convective heat transfer of an ethylene glycol/magnesium oxide-multiwalled carbon nanotube (EG/MgO-MWCNT) hybrid nanofluid (HNF) as single-phase flow in a heat exchanger (HE) with elliptical corrugated tubes is investigated. Three-dimensional multiphase governing equations are solved numerically using the control volume approach and a validated numerical model in good agreement with the literature. The range of Reynolds numbers (Re) 50 < Re < 1000 corresponds to laminar flow. Optimization is carried out by evaluation of various parameters to reach an optimal case with the maximum Nusselt number (Nu) and minimum pressure drop. The use of hybrid nanofluid results in a greater output temperature, a higher Nusselt number, and a bigger pressure drop, according to the findings. A similar pattern is obtained by increasing the volume fraction of nanoparticles. The results indicate that the power of the pump is increased when EG/MgO-MWCNT HNFs are employed. Furthermore, the thermal entropy generation reduces, and the frictional entropy generation increases with the volume fraction of nanoparticles and Re number. The results show that frictional and thermal entropy generations intersect by increasing the Re number, indicating that frictional entropy generation can overcome other effective parameters. This study concludes that the EG/MgO-MWCNT HNF with a volume fraction (VF) of 0.4% is proposed as the best-case scenario among all those considered.Taif University Researchers Supporting Granthttps://www.mdpi.com/journal/applsciMechanical and Aeronautical Engineerin