The Association of Alcohol Use and Child-to-Parent Violence in Mexican Adolescents.

Background: Addictions can modify the dynamics, communication, and establishment of assertive relationships in the family nucleus, situations that can cause different types of family violence. A phenomenon of special interest is child-to-parent violence or children's violence toward their parents. This type of violence can be exercised physically (hitting, kicking, shoving), verbally (shouting, blackmailing and insulting) and economically (using a card, stealing money or belongings from the parents). Although is generally supported that child-to-parent violence may be associated with alcohol-induced aggressiveness and lack of control, there is less evidence of a possible differentiation regarding the sex of the parents. Objective: Analyze the relationship and effect of alcohol on child-to-parent violence according to the parents' sex. Methods: This was a predictive study of 265 adolescents between 12 and 19 years of age. Data were collected from social networks using two self-applied instruments (the Alcohol Use Disorders Identification Test and the Conflict Tactics Scale: Parent-Child Version) programmed with the Survey Monkey® digital platform. Results: Of the adolescents studied, 66.8% had consumed alcohol at some time in their lives; of these, 6.6% had harmful consumption. A positive relationship was found between alcohol involvement scores and economic violence toward the mother and father. The former was supported by regression models where alcohol involvement predicted child-to-parent economic violence directed toward mothers and fathers. Conclusions: It is important to develop activities to prevent alcohol consumption as a risk factor for violence and to promote family integration in adolescents and their families.

Environmentally Friendly New Catalyst Using Waste Alkaline Solution from Aluminum Production for the Synthesis of Biodiesel in Aqueous Medium.

Red mud (RM) is composed of a waste alkaline solution (pH = 13.3) obtained from the production of alumina. It contains high concentrations of hematite (Fe2O3), goethite (FeOOH), gibbsite [Al(OH)3], a boehmite (AlOOH), anatase (Tetragonal-TiO2), rutile (Ditetragonal dipyramidal-TiO2), hydrogarnets [Ca3Al2(SiO4)3-x(OH)4x], quartz (SiO2), and perovskite (CaTiO3). It was shown to be an excellent catalytic mixture for biodiesel production. To demonstrate the value of RM, an environmentally friendly process of transesterification in aqueous medium using waste cooking oil (WCO), MeOH, and waste alkaline solution (WAS) obtained from aluminum production was proposed. Triglycerides of WCO reacted with MeOH at 60 °C to yield mixtures of fatty acid methyl esters (FAMEs) in the presence of 0.019% (w/w) WAS/WCO using the WAS (0.204 mol L-1, predetermined by potentiometric titration) from aluminum production by the Bayer process. The use of the new catalyst (WAS) resulted in a high yield of the products (greater than 99% yield).

Consumo de drogas lícitas e ilícitas en adolescentes en tiempos de la COVID-19 / Consumption of legal and illegal drugs in adolescents in times of COVID-19

Resumen Objetivo: Conocer el consumo de tabaco, mariguana y cocaína en adolescentes mexicanos en tiempos de la COVID-19. Materiales y métodos: Estudio cuantitativo, descriptivo y transversal realizado con 265 adolescentes mexicanos entre 12 y 19 años de edad, elegidos mediante un muestreo no probabilístico. La recolección de la información se llevó a cabo mediante la plataforma digital SurveyMonkey, los datos fueron procesados en el programa estadístico SPSS 23.0. Se utilizó estadística descriptiva para obtener frecuencias, proporciones, medidas de tendencia central y de variabilidad. Resultados: El promedio de edad fue de 17.8 años, el inicio de consumo de alcohol fue a los 16.7 años, tabaco a los 16.8 años, marihuana a los 17 años y cocaína a los 17.3 años. El promedio de bebidas alcohólicas consumidas en un día típico fue de 3.3, la media de cigarrillos consumidos en un día típico fue de 2.2, la media del consumo marihuana fue de 1.2 y la de cocaína de 2.5. El 66.8 % de los participantes han consumido alcohol alguna vez en la vida, 49.9% ha consumido alcohol en el último año. El 18.5% han consumido cigarrillos al menos una vez en la vida y solo el 13.6% lo consumió en el último año. El 7.2% del adolescente han consumido marihuana alguna vez en la vida y solo el 3.8% consumió en el último año. El 3.4% ha consumido cocaína alguna vez en la vida y 1.9% en el último año. Conclusiones: Las prevalencias del consumo de drogas lícitas e ilícitas denotan un incremento significativo, lo cual es preocupante, debido que durante la adolescencia cualquier cantidad consumida es riesgosa y dañina para la salud física y mental.

Abstract Objective: To know the consumption of tobacco, marijuana and cocaine in Mexican adolescents in times of COVID-19. Materials and methods: Quantitative, descriptive and cross-sectional study carried out with 265 Mexican adolescents between 12 and 19 years of age, chosen through a non-probabilistic sampling. The information was collected using the SurveyMonkey digital platform, the data was processed in the SPSS 23.0 statistical program. Descriptive statistics were used to obtain frequencies, proportions, measures of central tendency and variability. Results: The average age was 17.8 years, the start of alcohol consumption was at 16.7 years, tobacco at 16.8 years, marijuana at 17 years and cocaine at 17.3 years. The average number of alcoholic beverages consumed on a typical day was 3.3, the average number of cigarettes consumed on a typical day was 2.2, the average use of marijuana was 1.2, and that of cocaine was 2.5. 66.8% of the participants have consumed alcohol at some time in their life, 49.9% have consumed alcohol in the last year. 18.5% have consumed cigarettes at least once in their life and only 13.6% consumed it in the last year. 7.2% of adolescents have used marijuana at some time in their life and only 3.8% used it in the last year. 3.4% have used cocaine at some time in their life and 1.9% in the last year. Conclusions: The prevalence of licit and illicit drug use shows a significant increase, which is worrying, since during adolescence any amount consumed is risky and harmful to physical and mental health.

Motivos intrínsecos, extrínsecos y expectativas para elección de la carrera, como predictores de rendimiento académico en estudiantes de enfermería / Intrinsic and extrinsic motivations and expectations for career choice, as predictors of academic performance in nursing students

[{"text": "INTRODUCCIÓN. El decantarse por una carrera universitaria, es una decisión que marca el futuro profesional de los jóvenes; en ella están envueltas motivaciones intrínsecas, extrínsecas y expectativas que pueden predecir el desempeño académico. OBJETIVO. Predecir el rendimiento académico de los estudiantes de una facultad de enfermería, a través de los motivos intrínsecos, extrínsecos y expectativas para la elección de la carrera. METODOLOGÍA. Estudio correlacional, longitudinal, analítico. La muestra estuvo constituida por 400 estudiantes de primer semestre. Se aplicó una cédula socio demográfica; Escala de Motivación en Educación (EME); Escala de Expectativas Para la Elección de la Carrera e Interés Hacia los Estudios (EEPECIHE); Escala de Seguimiento Cambios en las Expectativas, Grado de Interés y Satisfacción de los Estudiantes (ESCEGIS). Los datos se analizaron con el software SPSS versión 25 para iOS; el estudio contó con la aprobación del comité de bioética en investigación de la Facultad de Enfermería Culiacán. RESULTADOS. Existen diferencias significativas de las motivaciones, expectativas y rendimiento académico (p <.05) al inicio del semestre y al finalizar el semestre; las motivaciones y expectativas predicen el rendimiento académico, en 74.6%, (R2=0,747, Ajuste R2 = 0,746,

A new model for classification of medical CT images using CNN: a COVID-19 case study.

SARS-CoV-2 is the causative agent of COVID-19 and leaves characteristic impressions on chest Computed Tomography (CT) images in infected patients and this analysis is performed by radiologists through visual reading of lung images, and failures may occur. In this article, we propose a classification model, called Wavelet Convolutional Neural Network (WCNN) that aims to improve the differentiation of images of patients with COVID-19 from images of patients with other lung infections. The WCNN model was based on a Convolutional Neural Network (CNN) and wavelet transform. The model proposes a new input layer added to the neural network, which was called Wave layer. The hyperparameters values were defined by ablation tests. WCNN was applied to chest CT images to images from two internal and one external repositories. For all repositories, the average results of Accuracy (ACC), Sensitivity (Sen) and Specificity (Sp) were calculated. Subsequently, the average results of the repositories were consolidated, and the final values were ACC = 0.9819, Sen = 0.9783 and Sp = 0.98. The WCNN model uses a new Wave input layer, which standardizes the network input, without using data augmentation, resizing and segmentation techniques, maintaining the integrity of the tomographic image analysis. Thus, applications developed based on WCNN have the potential to assist radiologists with a second opinion in the analysis.1.