Estilos de trabajo e inteligencias múltiples

El objetivo del trabajo es determinarla validez yflabilidad del modelo dejos estilos de trabajo, fundamentado en la teoría de las Inteligencias Múltiples (IM). Primero, se analizan los componentes de dicha teoría y su incidencia en el curriculum escolar. En segundo lugar, se estudia el procedimiento de evaluación. Además, se presentan los resultados del estudio empírico realizado con una muestra de 237 alumnos pertenecientes a Educación Infantil y Primaria, escolarizados en centros públicos y privados de la Región de Murcia. Del estudio realizado se desprende que los estilos están asociados a las diferentes inteligencias; además, el inventario de estilos de trabajo arroja una validez y fiabilidad altamente consistente.________________________________ The objective of this work is to determinate the validity and reliability of the model of work styles, as set out In the theory of Multiple Intelligences (MI). First, we analyze the components of this theory and their Incidence in the school curriculum. Second, we study the evaluation procedure. Additionally, we present the results of an empirical study carried out with a sample of 237 students in public and private nursery and primary schools in the province of Murcia, Spain. The study carried out reveals that the styles are associated with the different Intelligences. Furthermore, the inventory of styles shows a highly consistent validity and reliability

A Method for Systematic Adaptation and Synchronization of Healthcare Processes

International organizations, as the World Health Organization (WHO) and national governments are constantly defining (or modifying) new healthcare protocols and procedures. Those changes have a significant impact, on one side, on the organizational concerns of a great number of healthcare institutions and centers, and on the other side, on their health information systems that need to be adapted according to the new (or modified) procedures. Administrative workflows are commonly defined by a high level entity and they must then be applied on different institutions ruled by this high level entity. Those workflows must then be adapted to the particular circumstances of each institution, complying with the general regulations of the process established at the top level. This problem, called Hierarchical Adaptation Problem, also implies establishing the methods to evolve together the high level regulation. Such methods must maintain the consistency among the different levels by means of the propagation of the changes to all the different adaptations of the original workflow. To solve this problem, this work introduces the Hierarchical Adaptation Method. A method based on ontologies to define the rules that must be satisfied by a generic workflow to be considered adaptable to different application cases and the rules that must be satisfied by its adapted versions. Moreover, it provides the operations to facilitate both adaptation of administrative workflows and propagation of changes

'Enhancement of the crystallization process of TbxFe1-x thin films upon the formation of alpha-Tb phase'

TbxFe1−x thin films deposited by sputtering on Mo were investigated structurally and magnetically. The microstructure consists of TbFe2 nanoparticles embedded in an amorphous matrix, and the Tb content can be correlated with an increase in the volume of these nanoparticles. Similar microstructure and behavior were found when TbFe2 was deposited on glass and on a Pt buffer layer. Nevertheless, thermal treatments promote a different effect, depending on the mechanical stiffness of the buffer layer. The layers deposited on Mo, a rigid material, show crystalline TbFe2 together with α-Tb phase upon thermal treatment. In contrast, TbFe2 does not crystallize properly on Pt, a material with a lower stiffness than Mo. Intermediate results were observed on the film deposited on glass. Experimental results show the impact of the buffer stiffness on the crystallization process. Moreover, the formation of α-Tb appears to be fundamental to crystallized TbFe2 on layers deposited on rigid buffer

Influence of climate change on the flowering of temperate fruit trees

It is well known that winter chilling is necessary for the flowering of temperate trees. The chilling requirement is a criterion for choosing a species or variety at a given location. Also chemistry products can be used for reducing the chilling-hours needs but make our production more expensive. This study first analysed the observed values of chilling hours for some representative agricultural locations in Spain for the last three decades and their projected changes under climate change scenarios. Usually the chilling is measured and calculated as chilling-hours, and different methods have been used to calculate them (e.g. Richarson et al., 1974 among others) according to the species considered. For our objective North Carolina method (Shaltout and Unrath, 1983) was applied for apples, Utah method (Richardson et al. 1974) for peach and grapevine and the approach used by De Melo-Abreu et al. (2004) for olive trees. The influence of climate change in temperate trees was studied by calculating projections of chilling-hours with climate data from Regional Climate Models (RCMs) at high resolution (25 km) from the European Project ENSEMBLES (http://www.ensembles-eu.org/). These projections will allow for analysing the modelled variations of chill-hours between 2nd half of 20C and 1st half of 21C at the study locations

The Formation of hybrid complexes between isoenzymes of glyceraldehyde-3-phosphate dehydrogenase regulates its aggregation state, the glycolytic activity and sphingolipid status in Saccharomyces cerevisiae

The glycolytic enzyme glyceraldehyde-3-phosphate dehydrogenase (GAPDH) has been traditionally considered a housekeeping protein involved in energy generation. However, evidence indicates that GAPDHs from different origins are tightly regulated and that this regulation may be on the basis of glycolysis-related and glycolysis-unrelated functions. In Saccharomyces cerevisiae, Tdh3 is the main GAPDH, although two other isoenzymes encoded by TDH1 and TDH2 have been identified. Like other GAPDHs, Tdh3 exists predominantly as a tetramer, although dimeric and monomeric forms have also been isolated. Mechanisms of Tdh3 regulation may thus imply changes in its oligomeric state or be based in its ability to interact with Tdh1 and/or Tdh2 to form hybrid complexes. However, no direct evidence of the existence of these interactions has been provided and the exact function of Tdh1,2 is unknown. Here, we show that Tdh1,2 immunopurified with a GFP-tagged version of Tdh3 and that lack of this interaction stimulates the Tdh3's aggregation. Furthermore, we found that the combined knockout of TDH1 and TDH2 promotes the loss of cell's viability and increases the growing rate, glucose consumption and CO2 production, suggesting a higher glycolytic flux in the mutant cells. Consistent with this, the tdh3 strain, which displays impaired in vitro GAPDH activity, exhibited the opposite phenotypes. Quite remarkably, tdh1 tdh2 mutant cells show increased sensitivity to aureobasidin A, an inhibitor of the inositolphosphoryl ceramide synthase, while cells lacking Tdh3 showed improved tolerance. The results are in agreement with a link between glycolysis and sphingolipid (SLs) metabolism. Engineering Tdh activity could be thus exploited to alter the SLs status with consequences in different aspects of yeast biotechnology

In Candida parapsilosis the ATC1 gene encodes for an acid trehalase involved in trehalose hydrolysis, stress resistance and virulence

An ORF named CPAR2-208980 on contig 005809 was identified by screening a Candida parapsilosis genome data base. Its 67% identity with the acid trehalase sequence from C. albicans (ATC1) led us to designate it CpATC1. Homozygous mutants that lack acid trehalase activity were constructed by gene disruption at the two CpATC1 chromosomal alleles. Phenotypic characterization showed that atc1Δ null cells were unable to grow on exogenous trehalose as carbon source, and also displayed higher resistance to environmental challenges, such as saline exposure (1.2 M NaCl), heat shock (42°C) and both mild and severe oxidative stress (5 and 50 mM H2O2). Significant amounts of intracellular trehalose were specifically stored in response to the thermal upshift in both wild type and mutant strains. Analysis of their antioxidant activities revealed that catalase was only triggered in response to heat shock in atc1Δ cells, whereas glutathione reductase was activated upon mild oxidative stress in wild type and reintegrant strains, and in response to the whole set of stress treatments in the homozygous mutant. Furthermore, yeast cells with double CpATC1 deletion were significantly attenuated in non-mammalian infection models, suggesting that CpATC1 is required for the pathobiology of the fungus. Our results demonstrate the involvement of CpAtc1 protein in the physiological hydrolysis of external trehalose in C. parapsilosis, where it also plays a major role in stress resistance and virulence

CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making

There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role in dealing with engineering problems, practising engineers often come to the machine learning field so overwhelmed with the multitude of possibilities that they find themselves needing to address difficulties before actually starting on carrying out any work. Datasets have intrinsic properties that make it hard to select the algorithm that is best suited to some specific objective, and the ever-increasing number of providers together make this selection even harder. These were the reasons underlying the design of CompareML, an approach to supporting the evaluation and comparison of machine learning libraries and services without deep machine learning knowledge. CompareML makes it easy to compare the performance of different models by using well-known classification and regression algorithms already made available by some of the most widely used providers. It facilitates the practical application of methods and techniques of artificial intelligence that let a practising engineer decide whether they might be used to resolve hitherto intractable problems. Thus, researchers and engineering practitioners can uncover the potential of their datasets for the inference of new knowledge by selecting the most appropriate machine learning algorithm and determining the provider best suited to their data