Search results for "LEARNING"
showing 10 items of 6669 documents
Cambiamenti climatici e insegnamento/apprendimento della Fisica: Una proposta didattica
2013
From more than 10 years, the European Union recommends significant reforms for science teaching at school in order to include environmental issues in the scientific curricula. As Osborne and Dillon argue in an important European Report (Science Education in Europe: Critical Reflections. A Report to the Nuffield Foundation, 2008), although climate change is one of the five major problems facing humanity in the coming century, there is still little emphasis within the science curriculum on discussion or analysis of environmental issues. In this paper a pilot study is presented and discussed. It focuses on the issue of climate change (global warming and the greenhouse effect) carried out with …
Challenges for Surgical Residents’ Practice-Based Learning
2013
This chapter explores the practice-based learning of surgical residents. We concentrate on the challenges encountered and experienced by the residents during their clinical practice. In line with Billett (2010), we understand learning through practice as a process that arises through the exercise of occupational activities. For the surgical residents this means that they learn through participating in various kinds of hands-on surgical practices and interactions in clinical wards and units.
Transformative words: writing otherness and identities
2019
Juhani Ihanus is a Finnish pioneer of biblio/poetry therapy in Europe. His new insightful and broad-minded work Transformative words: Writing otherness and identities depicts literature, biblio/poe...
The use of Endurant stent-graft for abdominal aortic aneurysm: the story about extension of instruction for use with persistent good results of stent…
2012
The Endurant stent-graft (Medtronic, Inc., Minneapolis, MN, USA) is a latest generation device for the treatment of abdominal aortic aneurysm. The idea behind designing such a graft came from the intention to broad the instruction for use (IFU) and to enable it to treat more challenging anatomy including the 10mm neck lengths, and more severe suprarenal and infrarenal angulations. Endurant stent-graft has active fixation through suprarenal stent with anchoring pins to provide migration resistance, optimized heights of stents and spacing between them for improved flexibility and conformability, low-profile delivery system with hydrophilic coating and controlled simple deployment mechanism. S…
A blended-learning programme regarding professional ethics in physiotherapy students.
2018
Background: In the university context, assessing students’ attitude, knowledge and opinions when applying an innovative methodological approach to teach professional ethics becomes fundamental to know if the used approach is enough motivating for students. Research objective: To assess the effect of a blended-learning model, based on professional ethics and related to clinical practices, on physiotherapy students’ attitude, knowledge and opinions towards learning professional ethics. Research design and participants: A simple-blind clinical trial was performed (NLM identifier NCT03241693) (control group, n = 64; experimental group, n = 65). Both groups followed clinical practices for 8 mont…
SMART: Unique splitting-while-merging framework for gene clustering
2014
© 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori. To address this issue, in this paper, we propose a unique splitting-while-merging clustering framework, named "splitting merging awareness tactics" (SMART), which does not require any a priori knowledge of either the number …
A local complexity based combination method for decision forests trained with high-dimensional data
2012
Accurate machine learning with high-dimensional data is affected by phenomena known as the “curse” of dimensionality. One of the main strategies explored in the last decade to deal with this problem is the use of multi-classifier systems. Several of such approaches are inspired by the Random Subspace Method for the construction of decision forests. Furthermore, other studies rely on estimations of the individual classifiers' competence, to enhance the combination in the multi-classifier and improve the accuracy. We propose a competence estimate which is based on local complexity measurements, to perform a weighted average combination of the decision forest. Experimental results show how thi…
Data Analysis and Bioinformatics
2007
Data analysis methods and techniques are revisited in the case of biological data sets. Particular emphasis is given to clustering and mining issues. Clustering is still a subject of active research in several fields such as statistics, pattern recognition, and machine learning. Data mining adds to clustering the complications of very large data-sets with many attributes of different types. And this is a typical situation in biology. Some cases studies are also described.
Distance Functions, Clustering Algorithms and Microarray Data Analysis
2010
Distance functions are a fundamental ingredient of classification and clustering procedures, and this holds true also in the particular case of microarray data. In the general data mining and classification literature, functions such as Euclidean distance or Pearson correlation have gained their status of de facto standards thanks to a considerable amount of experimental validation. For microarray data, the issue of which distance function works best has been investigated, but no final conclusion has been reached. The aim of this extended abstract is to shed further light on that issue. Indeed, we present an experimental study, involving several distances, assessing (a) their intrinsic sepa…
Making nonlinear manifold learning models interpretable: The manifold grand tour
2015
Smooth nonlinear topographic maps of the data distribution to guide a Grand Tour visualisation.Prioritisation of data linear views that are most consistent with data structure in the maps.Useful visualisations that cannot be obtained by other more classical approaches. Dimensionality reduction is required to produce visualisations of high dimensional data. In this framework, one of the most straightforward approaches to visualising high dimensional data is based on reducing complexity and applying linear projections while tumbling the projection axes in a defined sequence which generates a Grand Tour of the data. We propose using smooth nonlinear topographic maps of the data distribution to…