4,194 research outputs found

    Lectura crítica, una herramienta para mejorar el aprendizaje de las Ciencias

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    El pensamiento crítico es un aspecto crucial que todo ciudadano necesita para poder participar en una sociedad democrática y plural. La lectura, a clase de ciencias de artículos y textos de diferentes fuentes, así como su comprensión crítica, puede ayudar a los estudiantes a desarrollar esta capacidad y potenciar la participación en el discurso social en relación a temáticas científicas que los afectan directamente. Nuestro estudio, que se enmarca dentro del grupo de investigación de la UAB LIEC, se centra en promover la lectura crítica de textos de contenido científico de diferentes fuentes, y analizar como esta lectura favorece un aprendizaje de las ciencias relevante socialmente. En esta comunicación se presenta los resultados de aplicar una de estas actividades realizada a partir de la lectura crítica de un artículo de prensa sobre grafitis

    ¿Con qué criterios valora el profesorado la aplicación de un proyecto de innovación de física en contexto?

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    En este trabajo presentamos algunos de los criterios con los que el profesorado valora la aplicación de un proyecto de física en contexto, analizando su contribución al desarrollo de las capacidades recogidas en las finalidades y los objetivos del bachillerato y buscando identificar los puntos fuertes y los aspectos que habría que revisar para orientar los posibles cambios a introducir para su mejora. Los resultados muestran, por una parte, que el proyecto interesa y se adapta al currículum y a las PAAU y es rico en actividades de enseñanza-aprendizaje, aunque no siempre se saben utilizar de manera eficiente y que, por otra, genera un proceso de formación en el profesorado que se valora como muy positivo y que comporta cambios profesionales más allá de la aplicación del proyecto

    A Methodology for the Design of Robotic Hands with Multiple Fingers

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    This paper presents a methodology that has been applied for a design process of anthropomorphic hands with multiple fingers. Biomechanical characteristics of human hand have been analysed so that ergonomic and anthropometric aspects have been used as fundamental references for obtaining grasping mechanisms. A kinematic analysis has been proposed to define the requirements for designing grasping functions. Selection of materials and actuators has been discussed too. This topic has been based on previous experiences with prototypes that have been developed at the Laboratory of Robotics and Mechatronics (LARM) of the University of Cassino. An example of the application of the proposed method has been presented for the design of a first prototype of LARM Hand

    PSS32 Predictors of Biologic Treatment in Psoriasis Population

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    Ceramica punica dal sito rurale di Truncu 'e Molas (Terralba, Sardegna)

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    A Nonperturbative Eliasson's Reducibility Theorem

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    This paper is concerned with discrete, one-dimensional Schr\"odinger operators with real analytic potentials and one Diophantine frequency. Using localization and duality we show that almost every point in the spectrum admits a quasi-periodic Bloch wave if the potential is smaller than a certain constant which does not depend on the precise Diophantine conditions. The associated first-order system, a quasi-periodic skew-product, is shown to be reducible for almost all values of the energy. This is a partial nonperturbative generalization of a reducibility theorem by Eliasson. We also extend nonperturbatively the genericity of Cantor spectrum for these Schr\"odinger operators. Finally we prove that in our setting, Cantor spectrum implies the existence of a GδG_\delta-set of energies whose Schr\"odinger cocycle is not reducible to constant coefficients

    Finite elements and the discrete variable representation in nonequilibrium Green's function calculations. Atomic and molecular models

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    In this contribution, we discuss the finite-element discrete variable representation (FE-DVR) of the nonequilibrium Green's function and its implications on the description of strongly inhomogeneous quantum systems. In detail, we show that the complementary features of FEs and the DVR allows for a notably more efficient solution of the two-time Schwinger/Keldysh/Kadanoff-Baym equations compared to a general basis approach. Particularly, the use of the FE-DVR leads to an essential speedup in computing the self-energies. As atomic and molecular examples we consider the He atom and the linear version of H3+_3^+ in one spatial dimension. For these closed-shell models we, in Hartree-Fock and second Born approximation, compute the ground-state properties and compare with the exact findings obtained from the solution of the few-particle time-dependent Schr\"odinger equation.Comment: 12 pages, 3 figures, submitted as proceedings of conference "PNGF IV

    Patterns of impact resulting from a 'sit less, move more' web-based program in sedentary office employees.

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    PURPOSE: Encouraging office workers to 'sit less and move more' encompasses two public health priorities. However, there is little evidence on the effectiveness of workplace interventions for reducing sitting, even less about the longer term effects of such interventions and still less on dual-focused interventions. This study assessed the short and mid-term impacts of a workplace web-based intervention (Walk@WorkSpain, W@WS; 2010-11) on self-reported sitting time, step counts and physical risk factors (waist circumference, BMI, blood pressure) for chronic disease. METHODS: Employees at six Spanish university campuses (n=264; 42±10 years; 171 female) were randomly assigned by worksite and campus to an Intervention (used W@WS; n=129; 87 female) or a Comparison group (maintained normal behavior; n=135; 84 female). This phased, 19-week program aimed to decrease occupational sitting time through increased incidental movement and short walks. A linear mixed model assessed changes in outcome measures between the baseline, ramping (8 weeks), maintenance (11 weeks) and follow-up (two months) phases for Intervention versus Comparison groups. RESULTS: A significant 2 (group) × 2 (program phases) interaction was found for self-reported occupational sitting (F[3]=7.97, p=0.046), daily step counts (F[3]=15.68, p=0.0013) and waist circumference (F[3]=11.67, p=0.0086). The Intervention group decreased minutes of daily occupational sitting while also increasing step counts from baseline (446±126; 8,862±2,475) through ramping (+425±120; 9,345±2,435), maintenance (+422±123; 9,638±3,131) and follow-up (+414±129; 9,786±3,205). In the Comparison group, compared to baseline (404±106), sitting time remained unchanged through ramping and maintenance, but decreased at follow-up (-388±120), while step counts diminished across all phases. The Intervention group significantly reduced waist circumference by 2.1cms from baseline to follow-up while the Comparison group reduced waist circumference by 1.3cms over the same period. CONCLUSIONS: W@WS is a feasible and effective evidence-based intervention that can be successfully deployed with sedentary employees to elicit sustained changes on "sitting less and moving more"

    Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network

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    This paper proposed a retinal image segmentation method based on conditional Generative Adversarial Network (cGAN) to segment optic disc. The proposed model consists of two successive networks: generator and discriminator. The generator learns to map information from the observing input (i.e., retinal fundus color image), to the output (i.e., binary mask). Then, the discriminator learns as a loss function to train this mapping by comparing the ground-truth and the predicted output with observing the input image as a condition.Experiments were performed on two publicly available dataset; DRISHTI GS1 and RIM-ONE. The proposed model outperformed state-of-the-art-methods by achieving around 0.96% and 0.98% of Jaccard and Dice coefficients, respectively. Moreover, an image segmentation is performed in less than a second on recent GPU.Comment: 8 pages, Submitted to 21st International Conference of the Catalan Association for Artificial Intelligence (CCIA 2018
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