La productividad de la morfología verbal a los años dos años de edad

Este trabajo se centra en estudiar la adquisición de la morfología verbal en una lengua con un paradigma verbal morfológicamente rico. Se predice que los niños de dos años no mostrarán productividad morfológica ante verbos desconocidos. La muestra se compone de 12 sujetos de edades comprendidas entre los 22 y los 31 meses. El procedimiento, de tipo experimental, se caracteriza por entrenar a los niños con verbos inventados. Los resultados muestran que los sujetos solamente utilizan los nuevos verbos con la forma morfológica con la que se han presentado. También se observa la omisión de determinados constituyentes de la oración. Estos resultados se discuten en relación con la asunción de discontinuidad de las competencias lingüísticas infantiles

Calidad de vida y cáncer de pròstata: efectos de un programa de ejercicio físico

Este estudio presenta los efectos de la implementación de un programa de ejercicio como terapia complementaria del tratamiento del cáncer próstata. El diseño del estudio es casi-experimental con una muestra de 33 pacientes en fase de tratamiento. En la metodología del programa se utiliza la guía de la American College Sports Medicine Position Stand (ACSM, 2009). Se estudian las variables antropométricas, la fuerza-resistencia, el consumo máximo de oxígeno (VO2 Máx), la percepción subjetiva del esfuerzo, la incontinencia, el dolor y la Calidad de Vida (CdV). Al finalizar 24 semanas de programa, se observa una mejora significativa de la CdV del enfermo. Los resultados demuestran que la mejoría en la CdV viene mediada por la mejora de la capacidad física, funcional y psico-emocional del enfermo. El modelo de adherencia integrado al programa de ejercicio consigue mejorar la calidad y cantidad de ejercicio necesario para la práctica autónoma en el hogar

Modificaciones tecnológicas para mejorar la seguridad y calidad del jamón curado

Se introdujeron varias modificaciones tecnológicas en la elaboración habitual del jamón curado español de cerdo blanco para mejorar su seguridad y calidad, así como para investigar la contribución relativa de los diversos procesos implicados en la calidad sensorial. Las modificaciones introducidas en cada uno de 3 experimentos (a, b, c) fueron: a) inoculación de un cultivo iniciador (CI) en la superficie del producto y el envasado del jamón al vacío durante la etapa de reposo (EV); b) aplicación de una atmósfera modificada con un contenido reducido de oxígeno (AMCRO) (durante la totalidad o la última parte del procesado) en dos procesos que diferían en las humedades relativas aplicadas; c) realización de un estufaje de 4 días a 35ºC y la aplicación repetida de pequeñas cantidades de grasa dorsal líquida sobre la superficie del jamón. En cada experimento, se siguió un diseño experimental de bloques incompletos para bloquear y evaluar el efecto de la materia prima en cada parámetro. La aplicación del CI evitó el crecimiento superficial de hongos, pero modificó el flavor del producto, dando lugar a la aparición de flavores impropios del jamón tradicional, al aumento de la incidencia de la coquera y a la reducción de la intensidad de notas características del mismo como el flavor añejo. Estos efectos fueron debidos a la acción directa del CI pero probablemente también a los cambios que provocó en la superficie del jamón, como la atenuación del "sudado" del jamón. El EV trajo consigo una reducción del crecimiento superficial de mohos; un mayor gradiente de humedad entre el interior y el exterior del jamón; una disminución de la pérdida de peso; un aumento del nitrógeno no proteico y cambios negativos en la textura, aspecto y flavor, como el aumento de la intensidad del velo blanco y del flavor a pienso, el aumento de la incidencia de la coquera y la atenuación del flavor añejo. Estos efectos fueron consecuencia del mayor contenido de humedad a que dio lugar dicha modificación tecnológica, de la potenciación de los efectos negativos del uso del CI, así como a los cambios que provocó en la superficie del jamón. El uso de una ACRO durante todo el proceso provocó un aumento del nitrógeno no proteico, una disminución de la concentración de óxidos de colesterol, un aumento de la intensidad del velo blanco y, en combinación con el uso de humedades relativas bajas, causó una disminución del crecimiento bacteriano y evitó el crecimiento de hongos, levaduras y ácaros en el interior y exterior del jamón y el desarrollo de la coquera. Asímismo, dio lugar a una drástica reducción de la intensidad del flavor del jamón debido a la disminución de la intensidad de la oxidación lipídica. Cuando esta ACRO se aplicó únicamente al final del proceso, se consiguió la eliminación de las formas móviles de los ácaros y la disminución de la intensidad de la coquera y el producto resultante poseía un flavor algo más intenso que aquél sometido a una ACRO durante todo el proceso. El aumento de la temperatura de 25-27 ºC a 35 ºC durante 4 días no tuvo ningún efecto sobre los parámetros estudiados. La aplicación de la grasa líquida en la superficie del jamón evitó el secado excesivo en superficie, previno el desarrollo de la coquera y causó un aumento de la intensidad del flavor añejo y una reducción de la incidencia de notas negativas como el tostado, hechos que indican que la liberación de grasa líquida en el jamón ("sudado") constituye un fenómeno determinante en su calidad sensorial. La materia prima fue el factor que afectó a un mayor número de parámetros.

La superdotació als centres d'educació infantil i primària dels Serveis Territorials d'Educació de Girona: creences dels professionals de l'educació, mestres i Equips d'Assessorament i Orientació Psicopedagògica (EAP), sobre la detecció d'aquests alumnes i les mesures d'intervenció educativa

En aquesta tesi es fa una valoració dels elements que incideixen en les creences dels mestres d'educació infantil i primària i dels professionals dels EAP respecte la detecció dels alumnes amb altes capacitats i les principals mesures d'intervenció educativa. Els instruments utilitzats són els propis de les metodologies naturalistes i quasi experimentals. L'anàlisi de resultats obtinguts llarg de tres cursos escolars recull les creences dels mestres i EAP a partir de diferents fonts d'informació: entrevistes, descripció de casos, anàlisi de dades, valoració de normativa i dos qüestionaris, un per a mestres i l'altre per a EAP. Els resultats posen en evidència una molt baixa detecció, insuficiència de regulació legal, eines de diagnòstic febles, dispersió documental i falta de formació. Es detecten contradiccions entre les creences i les pràctiques. Finalment es proposa una redefinició del concepte Altes Capacitats-superdotació des dels àmbits de l'eficàcia, del perfil i del rendiment escolar.

Birding 2.0: Citizen Science and Effective Monitoring in the Web 2.0 World

The amateur birding community has a long and proud tradition of contributing to bird surveys and bird atlases. Coordinated activities such as Breeding Bird Atlases and the Christmas Bird Count are examples of "citizen science" projects. With the advent of technology, Web 2.0 sites such as eBird have been developed to facilitate online sharing of data and thus increase the potential for real-time monitoring. However, as recently articulated in an editorial in this journal and elsewhere, monitoring is best served when based on a priori hypotheses. Harnessing citizen scientists to collect data following a hypothetico-deductive approach carries challenges. Moreover, the use of citizen science in scientific and monitoring studies has raised issues of data accuracy and quality. These issues are compounded when data collection moves into the Web 2.0 world. An examination of the literature from social geography on the concept of "citizen sensors" and volunteered geographic information (VGI) yields thoughtful reflections on the challenges of data quality/data accuracy when applying information from citizen sensors to research and management questions. VGI has been harnessed in a number of contexts, including for environmental and ecological monitoring activities. Here, I argue that conceptualizing a monitoring project as an experiment following the scientific method can further contribute to the use of VGI. I show how principles of experimental design can be applied to monitoring projects to better control for data quality of VGI. This includes suggestions for how citizen sensors can be harnessed to address issues of experimental controls and how to design monitoring projects to increase randomization and replication of sampled data, hence increasing scientific reliability and statistical power.

Krakatoa lives: The effect of volcanic eruptions on ocean heat content and thermal expansion

A suite of climate model experiments indicates that 20th Century increases in ocean heat content and sea-level ( via thermal expansion) were substantially reduced by the 1883 eruption of Krakatoa. The volcanically-induced cooling of the ocean surface is subducted into deeper ocean layers, where it persists for decades. Temporary reductions in ocean heat content associated with the comparable eruptions of El Chichon ( 1982) and Pinatubo ( 1991) were much shorter lived because they occurred relative to a non-stationary background of large, anthropogenically-forced ocean warming. Our results suggest that inclusion of the effects of Krakatoa ( and perhaps even earlier eruptions) is important for reliable simulation of 20th century ocean heat uptake and thermal expansion. Inter-model differences in the oceanic thermal response to Krakatoa are large and arise from differences in external forcing, model physics, and experimental design. Systematic experimentation is required to quantify the relative importance of these factors. The next generation of historical forcing experiments may require more careful treatment of pre-industrial volcanic aerosol loadings.

Students’ perception of the safety and value of a herbal vs. a conventional medicine for treating insomnia

University students suffer from variable sleep patterns including insomnia;[1] furthermore, the highest incidence of herbal use appears to be among college graduates.[2] Our objective was to test the perception of safety and value of herbal against conventional medicine for the treatment of insomnia in a non-pharmacy student population. We used an experimental design and bespoke vignettes that relayed the same effectiveness information to test our hypothesis that students would give higher ratings of safety and value to herbal product compared to conventional medicine. We tested another hypothesis that the addition of side-effect information would lower people’s perception of the safety and value of the herbal product to a greater extent than it would with the conventional medicine.

Management of plant communities on set-aside land and its effects on earthworm communities

Plant communities of set-aside agricultural land in a European project were managed in order to enhance plant succession towards weed-resistant, mid-successional grassland. Here, we ask if the management of a plant community affects the earthworm community. Field experiments were established in four countries, the Netherlands, Sweden, the UK, and the Czech Republic. High (15 plant species) and low diversity (four plant species) seed mixtures were sown as management practice, with natural colonization as control treatment in a randomized block design. The response of the earthworrns to the management was studied after three summers since establishment of the sites. Samples were also taken from plots with continued agricultural practices included in the experimental design and from a site with a late successional plant community representing the target plant community. The numbers and biomass of individuals were higher in the set-aside plots than in the agricultural treatment in two countries out of four. The numbers of individuals at one site (The Netherlands) was higher in the naturally colonized plots than in the sowing treatments, otherwise there were no differences between the treatments. Species diversity was lower in the agricultural plots in one country. The species composition had changed from the initial community of the agricultural field, but was still different from a late successional target community. The worm biomass was positively related to legume biomass in Sweden and to grass biomass in the UK. (C) 2005 Elsevier SAS. All rights reserved.

Overview of mathematical approaches used to model bacterial chemotaxis I: the single cell

Mathematical modeling of bacterial chemotaxis systems has been influential and insightful in helping to understand experimental observations. We provide here a comprehensive overview of the range of mathematical approaches used for modeling, within a single bacterium, chemotactic processes caused by changes to external gradients in its environment. Specific areas of the bacterial system which have been studied and modeled are discussed in detail, including the modeling of adaptation in response to attractant gradients, the intracellular phosphorylation cascade, membrane receptor clustering, and spatial modeling of intracellular protein signal transduction. The importance of producing robust models that address adaptation, gain, and sensitivity are also discussed. This review highlights that while mathematical modeling has aided in understanding bacterial chemotaxis on the individual cell scale and guiding experimental design, no single model succeeds in robustly describing all of the basic elements of the cell. We conclude by discussing the importance of this and the future of modeling in this area.

Pressure-relieving equipment: promoting its correct use amongst nurses via differing modes of educational delivery

Aims and objectives. To examine the impact of written and verbal education on bed-making practices, in an attempt to reduce the prevalence of pressure ulcers. Background. The Department of Health has set targets for a 5% reduction per annum in the incidence of pressure ulcers. Electric profiling beds with a visco-elastic polymer mattress are a new innovation in pressure ulcer prevention; however, mattress efficacy is reduced by tightly tucking sheets around the mattress. Design. A prospective randomized pre/post-test experimental design. Methods. Ward managers at a teaching hospital were approached to participate in the study. Two researchers independently examined the tightness of the sheets around the mattresses. Wards were randomized to one of two groups. Groups A and B received written education. In addition, group B received verbal education on alternate days for one week. Beds were re-examined one month later. One researcher was blinded to the educational delivery received by the wards. Results. Twelve wards agreed to participate in the study and 245 beds were examined. Before education, 113 beds (46%) had sheets tucked correctly around the mattresses. Following education, this increased to 215 beds (87.8%) (chi(2) = 68.03, P < 0.001). There was no significant difference in the number of correctly made beds between the two different education groups: 100 (87.72%) beds correctly made in group A vs. 115 (87.79%) beds in group B (chi(2) = 0, P 0.987). Conclusions. Clear, concise written instruction improved practice but verbal education was not additionally beneficial. Relevance to clinical practice. Nurses are receptive to clear, concise written evidence regarding pressure ulcer prevention and incorporate this into clinical practice.

Mathematical model for low density lipoprotein (LDL) endocytosis by hepatocytes

Individuals with elevated levels of plasma low density lipoprotein (LDL) cholesterol (LDL-C) are considered to be at risk of developing coronary heart disease. LDL particles are removed from the blood by a process known as receptor-mediated endocytosis, which occurs mainly in the liver. A series of classical experiments delineated the major steps in the endocytotic process; apolipoprotein B-100 present on LDL particles binds to a specific receptor (LDL receptor, LDL-R) in specialized areas of the cell surface called clathrin-coated pits. The pit comprising the LDL-LDL-R complex is internalized forming a cytoplasmic endosome. Fusion of the endosome with a lysosome leads to degradation of the LDL into its constituent parts (that is, cholesterol, fatty acids, and amino acids), which are released for reuse by the cell, or are excreted. In this paper, we formulate a mathematical model of LDL endocytosis, consisting of a system of ordinary differential equations. We validate our model against existing in vitro experimental data, and we use it to explore differences in system behavior when a single bolus of extracellular LDL is supplied to cells, compared to when a continuous supply of LDL particles is available. Whereas the former situation is common to in vitro experimental systems, the latter better reflects the in vivo situation. We use asymptotic analysis and numerical simulations to study the longtime behavior of model solutions. The implications of model-derived insights for experimental design are discussed.

Recovery of lactoferrin and lactoperoxidase from sweet whey using colloidal gas aphrons (CGAs) generated from an anionic surfactant, AOT

The recovery of lactoferrin and lactoperoxidase from sweet whey was studied using colloidal gas aphrons (CGAs), which are surfactant-stabilized microbubbles (10-100 mum). CGAs are generated by intense stirring (8000 rpm for 10 min) of the anionic surfactant AOT (sodium bis-2-ethylhexyl sulfosuccinate). A volume of CGAs (10-30 mL) is mixed with a given volume of whey (1 - 10 mL), and the mixture is allowed to separate into two phases: the aphron (top) phase and the liquid (bottom) phase. Each of the phases is analyzed by SDS-PAGE and surfactant colorimetric assay. A statistical experimental design has been developed to assess the effect of different process parameters including pH, ionic strength, the concentration of surfactant in the CGAs generating solution, the volume of CGAs and the volume of whey on separation efficiency. As expected pH, ionic strength and the volume of whey (i.e. the amount of total protein in the starting material) are the main factors influencing the partitioning of the Lf(.)Lp fraction into the aphron phase. Moreover, it has been demonstrated that best separation performance was achieved at pH = 4 and ionic strength = 0.1 mol/L i.e., with conditions favoring electrostatic interactions between target proteins and CGAs (recovery was 90% and the concentration of lactoferrin and lactoperoxidase in the aphron phase was 25 times higher than that in the liquid phase), whereas conditions favoring hydrophobic interactions (pH close to pI and high ionic strength) led to lower performance. However, under these conditions, as confirmed by zeta potential measurements, the adsorption of both target proteins and contaminant proteins is favored. Thus, low selectivity is achieved at all of the studied conditions. These results confirm the initial hypothesis that CGAs act as ion exchangers and that the selectivity of the process can be manipulated by changing main operating parameters such as type of surfactant, pH and ionic strength.

Fully complex-valued radial basis function networks for orthogonal least squares regression

We consider a fully complex-valued radial basis function (RBF) network for regression application. The locally regularised orthogonal least squares (LROLS) algorithm with the D-optimality experimental design, originally derived for constructing parsimonious real-valued RBF network models, is extended to the fully complex-valued RBF network. Like its real-valued counterpart, the proposed algorithm aims to achieve maximised model robustness and sparsity by combining two effective and complementary approaches. The LROLS algorithm alone is capable of producing a very parsimonious model with excellent generalisation performance while the D-optimality design criterion further enhances the model efficiency and robustness. By specifying an appropriate weighting for the D-optimality cost in the combined model selecting criterion, the entire model construction procedure becomes automatic. An example of identifying a complex-valued nonlinear channel is used to illustrate the regression application of the proposed fully complex-valued RBF network.

Fully complex-valued radial basis function networks: orthogonal least squares regression and classification

We consider a fully complex-valued radial basis function (RBF) network for regression and classification applications. For regression problems, the locally regularised orthogonal least squares (LROLS) algorithm aided with the D-optimality experimental design, originally derived for constructing parsimonious real-valued RBF models, is extended to the fully complex-valued RBF (CVRBF) network. Like its real-valued counterpart, the proposed algorithm aims to achieve maximised model robustness and sparsity by combining two effective and complementary approaches. The LROLS algorithm alone is capable of producing a very parsimonious model with excellent generalisation performance while the D-optimality design criterion further enhances the model efficiency and robustness. By specifying an appropriate weighting for the D-optimality cost in the combined model selecting criterion, the entire model construction procedure becomes automatic. An example of identifying a complex-valued nonlinear channel is used to illustrate the regression application of the proposed fully CVRBF network. The proposed fully CVRBF network is also applied to four-class classification problems that are typically encountered in communication systems. A complex-valued orthogonal forward selection algorithm based on the multi-class Fisher ratio of class separability measure is derived for constructing sparse CVRBF classifiers that generalise well. The effectiveness of the proposed algorithm is demonstrated using the example of nonlinear beamforming for multiple-antenna aided communication systems that employ complex-valued quadrature phase shift keying modulation scheme. (C) 2007 Elsevier B.V. All rights reserved.

M-estimator, and D-optimality model construction using orthogonal forward regression

This correspondence introduces a new orthogonal forward regression (OFR) model identification algorithm using D-optimality for model structure selection and is based on an M-estimators of parameter estimates. M-estimator is a classical robust parameter estimation technique to tackle bad data conditions such as outliers. Computationally, The M-estimator can be derived using an iterative reweighted least squares (IRLS) algorithm. D-optimality is a model structure robustness criterion in experimental design to tackle ill-conditioning in model Structure. The orthogonal forward regression (OFR), often based on the modified Gram-Schmidt procedure, is an efficient method incorporating structure selection and parameter estimation simultaneously. The basic idea of the proposed approach is to incorporate an IRLS inner loop into the modified Gram-Schmidt procedure. In this manner, the OFR algorithm for parsimonious model structure determination is extended to bad data conditions with improved performance via the derivation of parameter M-estimators with inherent robustness to outliers. Numerical examples are included to demonstrate the effectiveness of the proposed algorithm.