Seguimiento de las variantes de SARS-COV-2

Introducción: El SARS-CoV-2 es un virus ARN de la familia coronaviridae y que ha presentado múltiples mutaciones en los últimos años: alfa, delta, ómicron… Objetivo: estudiar la evolución de las variantes a lo largo de la pandemia y su impacto en un hospital universitario. Material y métodos: Se hizo un estudio retrospectivo de 3594 pacientes procedentes del hospital general universitario de valencia desde abril de 2021 hasta enero de 2022. Resultados: El SARS-COV-2 afecto por igual a ambos sexos y tuvo mayor presencia en los pacientes mayores de 30 años. El servicio de atención primaria fue el que mas casos atendió a lo largo del periodo de estudio. La variante que más casos genero a lo largo del estudio la delta con un total de 2806 casos. La variante ómicron causo 55 casos de hospitalización, siendo la que más peso tuvo sobre esta. Las variantes alfa, beta y delta fueron las más representativas, suponiendo el 99´6% de los casos. Conclusiones: Todas las variantes afectaban por igual a ambos sexos y tenían mayor presencia en la población adulta coincidiendo con la población general. Las variantes más prevalentes son alfa, delta y ómicron. La variante delta fue la de mayor presencia en población joven. La variante ómicron fue la de sintomatología más graveIntroduction: SARS-CoV-2 is an RNA virus of the coronaviridae family and has presented multiple mutations in recent years: alpha, delta, omicron... Objective: to study the evolution of the variants throughout the pandemic and its impact in an university hospital. Material and methods: A retrospective study of 3,594 patients from the General University Hospital of Valencia was carried out from April 2021 to January 2022. Results: SARS-COV-2 affected both sexes equally and had a greater presence in patients older than 30 years. The primary care service was the one that attended the most cases throughout the study period. The variant that generates the most cases throughout the study is the delta with a total of 2,806 cases. The omicron variant causes 55 cases of hospitalization, being the one that had the most weight on it. The alpha, beta and delta variants were the most representative, accounting for 99.6% of the cases. Conclusions: All variants affect both sexes equally and have a greater presence in the adult population, coinciding with the general population. The most prevalent variants are alpha, delta and omicron. The delta variant was the one with the greatest presence in the young population. The omicron variant was the one with the most severe symptomsMedicin

El problema de la identidad como objeto de estudio del arte contemporáneo el caso de la pintura y la fotografía de martín y sicilia

Un análisis de las problemáticas derivadas de la posmodernidad, como son la incertidumbre, la crisis de sentido y crisis de identidad, desde el estudio de la pintura y la fotografía de los artistas Martín y Sicilia, que han afrontado estas cuestiones estableciendo una estrategia de simulación de una pintura y una fotografía autobiográfica —con citas constantes a la historia del arte a partir de una recuperación anacrónica de un tratamiento pictórico de carácter figurativo y narrativo— empleando siempre para ello ficciones en las que los autores, como personajes en las imágenes, son los protagonistas

Tratamiento farmacológico de la osteoporosis

La Osteoporosis es una enfermedad que se define como la pérdida de masa ósea y la alteración de la arquitectura interna que conforman los huesos, con el consecuente incremento de la fragilidad y del riesgo de fractura ósea. A causa de la demografía actual, que como sabemos, tiende a ser cada vez más una pirámide invertida, es una enfermedad preocupante para los segmentos de la población que más la sufren: mujeres posmenopáusicas y en varones como consecuencia de enfermedades secundarias. Analizaremos los tratamientos que podemos encontrar en la actualidad y cuál es su efectividad, desde las medidas generales como el ejercicio, la ingesta de calcio y vitamina D, y cuando sea lo más recomendable, el tratamiento farmacológico cuya eficacia y seguridad sean la mejor opción para el paciente.Osteoporosis is a disease that is defined as the loss of bone mass and the alteration of the internal architecture that make up the bones, with the consequent increase of fragility and the risk of bone fracture. Because of the current demographics, which as we know, tends to be increasingly an inverted pyramid, it is a worrying disease for the segments of the population that suffer the most: postmenopausal women and in males as a result of secondary diseases. We will analyze current treatments and what their effectiveness is. Osteoporosis treatment ranges from general measures such as exercise, calcium intake and vitamin D, and, if necessary, pharmacological treatment. This treatment will be chosen when efficacy and safety are the best option for the patient

La anticipación en el deporte y su entrenamiento a través de preíndices

Este trabajo plantea dos partes diferenciadas. Por una parte, se plantea el fenómeno de la anticipación como una habilidad en situaciones deportivas donde el tiempo es un factor determinante de la eficacia. Se tratan en este apartado consideraciones importantes sobre las características de la anticipación en el contexto psicológico de la respuesta de reacción para centrarnos sobre la anticipación espacio-temporal. En segundo lugar, se proponen estrategias de entrenamiento basadas en técnicas de preíndices y en la utilización de sistemas computarizados para optimizar su aprendizaje. Los resultados de trabajos experimentales con deportistas profesionales reflejan la utilidad de estos sistemas automatizados de control de la información en el campo de la psicología del deporte.This article consist of two different parts. At first, we talk about the anticipation like an ability in sport situations where reaction time is a decisive factor to success and the time available is not enough. Important considerations and characteristics of anticipation in the psychological context of the reaction response is shown. In second place, we propose strategies of training based in precuing technique and the use of computerized systems to optimize learning. Experimental results with tennis players witness the utility of these systems of information control in the field of the sport psychology

Systematic Approach for Web Protection Runtime Tools’ Effectiveness Analysis

Web applications represent one of the principal vehicles by which attackers gain access to an organization’s network or resources. Thus, different approaches to protect web applications have been proposed to date. Of them, the two major approaches are Web Application Firewalls (WAF) and Runtime Application Self Protection (RASP). It is, thus, essential to understand the differences and relative effectiveness of both these approaches for effective decision-making regarding the security of web applications. Here we present a comparative study between WAF and RASP simulated settings, with the aim to compare their effectiveness and efficiency against different categories of attacks. For this, we used computation of different metrics and sorted their results using F-Score index. We found that RASP tools scored better than WAF tools. In this study, we also developed a new experimental methodology for the objective evaluation of web protection tools since, to the best of our knowledge, no method specifically evaluates web protection tools

A cyclometalated N-heterocyclic carbene and acetylacetonate ligands in a phosphorescent Pt(II) dye for sensing glucose

New β-diketonate platinum (II) complexes, containing a cyclometalated N-heterocyclic carbene [Pt(Naph^C*iPr)(acac)] (3A) (HNaph^C*-κC* = 3-isopropyl-1-(naphthalen-2-yl)-1H-imidazole-2-ylidene), or a cyclometalated pyrazole, [Pt(Naph^Npz)(acac)] (3B) (HC^Npz = 1-(naphthalen-2-yl)-1H-pyrazole) and [Pt(Naph^Ndmpz)(acac)] (3B') (HC^Ndmpz = 1-(naphthalen-2-yl)-1H-3,5-dimethylpyrazole) have been prepared and characterized. Their absorption and emission properties in films of ethyl cellulose (EC) were determined along with those of the already reported for complex [Pt(Naph^C*Me)(acac)] (3A'). They showed that all four β-diketonate complexes display a bright phosphorescent emission with maxima in the blue region (λmax ∼ 480 nm for 3A and 3A'; 490 nm 3B and 3B'). The higher quantum yield (QY), longer decay times and greater oxygen sensitivity were exhibited by the Naph^C* derivatives, compared to the Naph^N ones. Polyacrylamide membranes with entrapped 3A' as dye, and glucose oxidase (GOx) enzyme were used for monitoring glucose level. The RSD is about 5% and the detection limit is at ∼5·10−4 M, with a response time usually of 10–15 min working in stop-flow mode. These platinum-based membranes respond reversibly to glucose for, at least, 20 measures. 3A’ is the first Pt(II) complex bearing a cyclometalated N-heterocyclic carbene ever used as dye for sensing glucose

Communication improvements for intelligent systems in microgrids - Part I & II

This paper proposes the best architecture for intelligent microgrid applications based on latency, QoS, bandwidth and capital cost, to improve control and operation. In addition, the fundamentals of communications and control strategies for intelligent microgrids and electric vehicles are described. The results show that communication technology affects the performance of control applications and the smartness of the grid, which causes poor quality of service.CONACYT – Consejo Nacional de Ciencia y Tecnologí

A new multi-label dataset for Web attacks CAPEC classification using machine learning techniques

Context: There are many datasets for training and evaluating models to detect web attacks, labeling each request as normal or attack. Web attack protection tools must provide additional information on the type of attack detected, in a clear and simple way. Objectives: This paper presents a new multi-label dataset for classifying web attacks based on CAPEC classification, a new way of features extraction based on ASCII values, and the evaluation of several combinations of models and algorithms. Methods: Using a new way to extract features by computing the average of the sum of the ASCII values of each of the characters in each field that compose a web request, several combinations of algorithms (LightGBM and CatBoost) and multi-label classification models are evaluated, to provide a complete CAPEC classification of the web attacks that a system is suffering. The training and test data used for training and evaluating the models come from the new SR-BH 2020 multi-label dataset. Results: Calculating the average of the sum of the ASCII values of the different characters that make up a web request shows its usefulness for numeric encoding and feature extraction. The new SR-BH 2020 multi-label dataset allows the training and evaluation of multi-label classification models, also allowing the CAPEC classification of the various attacks that a web system is undergoing. The combination of the two-phase model with the MultiOutputClassifier module of the scikit-learn library, together with the CatBoost algorithm shows its superiority in classifying attacks in the different criticality scenarios. Conclusion: Experimental results indicate that the combination of machine learning algorithms and multi-phase models leads to improved prediction of web attacks. Also, the use of a multi-label dataset is suitable for training learning models that provide information about the type of attack. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/