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Efectividad de los métodos mixtos en investigación contextual en salud y educación
Get PDFEn las últimas décadas se está utilizando la metodología de investigación mixta en contextos naturales. Los diseños mixtos aúnan las ventajas de los métodos cuantitativos y cualitativos. Esto facilita la implementación de programas de intervención en contextos naturales. En este estudio, se presenta la utilización de métodos mixtos para el análisis de la percepción de los estudiantes de Ciencias de la Salud de la eficacia del uso en entornos Blended Learning de una metodología de Project Based Learning (PBL) con experiencias Flipped Classroom. Se utilizó un diseño mixto explicativo. Se analizaron datos cuantitativos, en una escala tipo Likert y cualitativos en preguntas abiertas. Estos últimos se procesaron aplicando una técnica de categorización con el software Atlas.ti v8, seguidamente se efectuó un análisis de frecuencias y de porcentajes en cada una de las categorías. Los resultados hallados con esta metodología ajusta la intervención a las necesidades reales del grupo de interés
Why Improving the Accuracy of Exponential Integrators Can Decrease Their Computational Cost?
Get PDFIn previous papers, a technique has been suggested to avoid order reduction when integrating initial boundary value problems with several kinds of exponential methods. The technique
implies in principle to calculate additional terms at each step from those already necessary without
avoiding order reduction. The aim of the present paper is to explain the surprising result that,
many times, in spite of having to calculate more terms at each step, the computational cost of doing
it through Krylov methods decreases instead of increases. This is very interesting since, in that way,
the methods improve not only in terms of accuracy, but also in terms of computational cost.This research was funded by Ministerio de Ciencia e Innovación and Regional Development European Funds through project PGC2018-101443-B-I00 and by Junta de Castilla y León and Feder through project VA169P20
The teaching of prehistorical time through the tale as a didactic tool in primary school
Get PDFSe emplea el concepto de tiempo prehistórico en el marco de enseñanza de la prehistoria. Se analiza la contribución del cuento Paleocaperucita Ocre en Atapuerca en la construcción de conocimientos sobre tiempo prehistórico en Educación Primaria. Se constata que la perspectiva diacrónica del personaje, y la coordinación de texto e imagen, facilitan la comprensión de la temporalidad prehistórica corrigiendo estereotipos erróneos.The concept of prehistorical time is employed in the educational framework of prehistory. The article analyses the contribution of the tale Paleocaperucita Ocre en Atapuerca (San Martín, 2018) to the construction of knowledge about prehistorical time in Primary Education. It is established that the diachronical perspective of the character, and the coordination between text and the picture, facilitate the comprehension of prehistoric temporality by correcting false stereotypes
Intellectual Disability, Employment and Aging: Intervention Measures
Get PDFWorkers living with intellectual disability suffer in a special way from the onset of premature aging. Hence the need to generate alternatives and policies for the development of a new model
for active aging and the care of workers with intellectual disability. Our objective in this study is,
therefore, to devise intervention measures that can minimize the effects of aging on the lives and
the activities of these workers. Employing the Delphi technique, we assembled and consulted a
panel of 8 experts with relevant expertise in the fields of intellectual disability; aging; employment
and dependency. The panel included employers, families and workers with disability. Each expert
reached a prior consensus over every response and contribution after having consulted four other
experts with similar backgrounds, a consultative process in which a total of 40 experts participated. A
total of 68 measures were proposed which correspond to three lines of action or key contexts: Firms
and Organizations that employ People with Intellectual Disability; People with Intellectual Disability,
and Family setting. In all, 10 recommendations with a focus on both firms and organizations were
advanced to implement the proposed measures. The conclusion was that interventions are needed
from the time at which the first symptoms of deterioration are detected, which should not necessarily
lead to immediate loss of employment, as well as individualized and coordinated interventions
among all relevant stakeholders, including the families
VII Jornadas de investigadoras de Castilla y León: la aventura de la ciencia y la tecnología
No full textEste libro recoge las comunicaciones presentadas en las VII Jornadas de Investigadoras de Castilla y León, la Aventura de la Ciencia y la Tecnología, organizadas por la Universidad de Burgos, en colaboración con las Universidades de Valladolid, León y Salamanca y el Centro Nacional de Investigación de La Evolución Humana (CENIEH
Experimental evaluation of ensemble classifiers for imbalance in Big Data
Get PDFDatasets are growing in size and complexity at a pace never seen before, forming ever larger datasets known as Big Data. A common problem for classification, especially in Big Data, is that the numerous examples of the different classes might not be balanced. Some decades ago, imbalanced classification was therefore introduced, to correct the tendency of classifiers that show bias in favor of the majority class and that ignore the minority one. To date, although the number of imbalanced classification methods have increased, they continue to focus on normal-sized datasets and not on the new reality of Big Data. In this paper, in-depth experimentation with ensemble classifiers is conducted in the context of imbalanced Big Data classification, using two popular ensemble families (Bagging and Boosting) and different resampling methods. All the experimentation was launched in Spark clusters, comparing ensemble performance and execution times with statistical test results, including the newest ones based on the Bayesian approach. One very interesting conclusion from the study was that simpler methods applied to unbalanced datasets in the context of Big Data provided better results than complex methods. The additional complexity of some of the sophisticated methods, which appear necessary to process and to reduce imbalance in normal-sized datasets were not effective for imbalanced Big Data.“la Caixa” Foundation, Spain, under agreement LCF/PR/PR18/51130007. This work was supported by the Junta de Castilla y León, Spain under project BU055P20 (JCyL/FEDER, UE) co-financed through European Union FEDER funds, and by the Consejería de Educación of the Junta de Castilla y León and the European Social Fund, Spain through a pre-doctoral grant (EDU/1100/2017)
Category Management in the food industry
Get PDFA lo largo de este Trabajo de Fin de Grado, se ha analizado el concepto de Gestión por Categorías, los objetivos que persigue su implantación, así como las ventajas e inconvenientes que genera para fabricantes, distribuidores y consumidores y de qué manera establecerla de forma correcta en las empresas; todo esto fruto de una extensa investigación bibliográfica. Del mismo modo, se han analizado casos exitosos de empresas que han llevado a cabo de una forma reseñable la Gestión por Categorías. Por otro lado, se ha realizado un estudio empírico basado en encuestas online a consumidores y entrevistas personales a dos distribuidores de la industria alimenticia (Alcampo, S.A. y Hermanos López Antoranz, S.A.). Finalmente, las conclusiones, limitaciones y opciones de mejora han sido expuestas, con el objetivo de comparar los resultados conseguidos con el marco conceptual.Throughout this Bachelor Thesis, the concept of Category Management, the pursued objectives of its implementation, as well as the advantages and drawbacks that generate for manufacturers, distributors and consumers and in which way it should be correctly established in firms have been analysed; by means of an extensive bibliographic investigation. In the same way, successful firms’ cases that have applied Category Management in a remarkable manner have been studied. Furthermore, it has been carried out an empirical study based on online surveys to consumers and face to face personal interviews to two distributors of the food industry (Alcampo, S.A. and Hermanos López Antoranz, S.A.). Finally, the conclusions, limitations and ways of improvement are given, with the goal of comparing the achieved results with the conceptual framework
Hydrolysis of the protein fraction of the industrial solid residue from red algae after agar extraction
Get PDFTrabajo presentado en: 1st GREENERING International Conference. 2021, 15-17 de febrero, Costa da CaparicaAgencia Estatal de Investigación [grant number PID2019-104950RB-I00 / AEI / 10.13039/501100011033] and the Junta de Castilla y León (JCyL) and the European Regional Development Fund (ERDF) [grant numbers BU301P18 and BU050P2
Valorization of industrial solid residue from macroalgae by emerging technologies
No full textUno de los principales problemas que afronta la sociedad actual es la acumulación de residuos, consecuencia de una creciente población y una mayor calidad de vida. Sin embargo, el concepto de biorrefinería, donde los residuos son tratados como nuevas materias primas que puedan ser reincorporadas al proceso industrial, surge como posible solución a este problema. En este sentido, se ha propuesto la valorización integral del subproducto del alga roja Gelidium sesquipedale tras la extracción industrial del agar, ya que, a pesar de ser un residuo, aún contiene importantes cantidades de compuestos bioactivos de interés como carbohidratos, proteínas o aminoácidos con alta actividad antioxidante que pueden proporcionarle un valor añadido.
Las técnicas de extracción convencionales presentan numerosas desventajas, entre las que destacan: tiempos de tratamiento prolongados, baja selectividad y rendimientos de extracción y uso de grandes volúmenes de disolventes orgánicos, que no sólo son peligrosos, sino que además encarecen el proceso de extracción y dañan el medio ambiente. Como alternativa, se ha propuesto el estudio de una tecnología novedosa integrada en el concepto de la química verde, como es la extracción con agua subcrítica. En condiciones subcríticas, propiedades como la densidad, la constante dieléctrica o el producto iónico del agua pueden variar a través de la modulación de la temperatura, lo que otorga al agua la capacidad de extraer selectivamente diferentes compuestos de interés.Nowadays, increasing wastes generation, as consequence of the growing population and higher quality of life, is one of the biggest problems that society faces with. The concept of biorefinery, in which residues are treated as new raw materials to be reincorporated into industrial processes, emerges as a solution. In this work, a complete valorization of the red alga Gelidium sesquipedale solid by-product generated after industrial agar extraction has been proposed. Despite being usually discarded, it still contains high content of interesting bioactive compounds such as carbohydrates, proteins or amino acids with high antioxidant activity that can be recovered.
Traditional extraction methods have several drawbacks. They are usually time-consuming and have low selectivity and extraction yields. In addition, large volumes of organic solvents, which are dangerous, too expensive and can be harmful for environment and human health, are used.
As an alternative, subcritical water extraction has been proposed as a novel technology within the green chemistry concept. Under subcritical conditions, water properties such as density, dielectric constant or ionic product can be modified by temperature modulation, which gives water the ability to selectively extract different target compounds from the selected raw material
