Search results for "methodologies"
showing 10 items of 2106 documents
Path integral solution handled by Fast Gauss Transform
2009
Abstract The path integral solution method is an effective tool for evaluating the response of non-linear systems under Normal White Noise, in terms of probability density function (PDF). In this paper it has been observed that, using short-time Gaussian approximation, the PDF at a given time instant is the Gauss Transform of the PDF at an earlier close time instant. Taking full advantage of the so-called Fast Gauss Transform a new integration method is proposed. In order to overcome some unsatisfactory trends of the classical Fast Gauss Transform, a new version termed as Symmetric Fast Gauss Transform is also proposed. Moreover, extensions to the two Fast Gauss Transform to MDOF systems ar…
Search strategies for ensemble feature selection in medical diagnostics
2003
The goal of this paper is to propose, evaluate, and compare four search strategies for ensemble feature selection, and to consider their application to medical diagnostics, with a focus on the problem of the classification of acute abdominal pain. Ensembles of learnt models constitute one of the main current directions in machine learning and data mining. Ensembles allow us to get higher accuracy, sensitivity, and specificity, which are often not achievable with single models. One technique, which proved to be effective for ensemble construction, is feature selection. Lately, several strategies for ensemble feature selection were proposed, including random subspacing, hill-climbing-based se…
Towards Technology-Supported Surgical Training
2008
Technology offers alternatives for training surgeons with patients and also possibilities to take part in surgical learning from afar, outside the operating room (OR). Simulated and other technical training tools provide opportunities to practice surgical skills in undisturbed learning environments. In order to implement effective educational methods and create new environments for learning, we need to find out what skills a surgeon must learn and what are the elements affecting surgical performance. This paper describes a study designed to investigate surgical processes and presents an exploratory way of gathering data by combining video material with interviews. The suitability of triangu…
Application of a self-learning methodology for the enhancement of the oral communication student outcome in International Business studies
2019
[EN] Effective oral communication is one of the most demanded student outcomes in the labour market, especially for degree students on International Business. Although this outcome is usually evaluated in several subjects along the curriculum, it is barely worked neither inside nor outside the classroom, mainly due to lack of time and to unavailability of proper learning methodologies. The PIMECOE project, an innovation and educational improvement project on this matter, has developed a self-learning methodology on the Effective Oral Communication student outcome, in which auto-diagnosis tests, selflearning tools and peer assessments are conveniently combined to enhance the proficiency leve…
Analysis of the main weaknesses of university students regarding the "effective oral communication" student outcome
2019
[EN] The "Effective oral communication" is one of the most demanded student outcomes in the workplace, since being a good communicator is essential in any field. Inefficient communication can lead to misinterpretations and erroneous conclusions. Therefore, it is a very important student outcome both in the university and in the workplace. The student or graduate must know how to communicate effectively, both orally and in writing, appropriately using the necessary resources and adapting to the characteristics of the situation and the audience. However, despite its importance, the disparity in the mastery level of the oral communication student outcome by students makes it difficult to work …
Expertise and Skill in Minimally Invasive Surgery
2009
New attitudes to medical ethics and demands for efficiency have brought increased attention to surgical skills and training. It is important to characterize the expertise and skill involved in the multidimensional surgical profession. At a time of change, there is a need to discuss the nature of surgical expertise, and also the prospects for resident training, with special reference to new minimally invasive techniques (MIS). In this paper, we selectively review knowledge on surgical expertise and the specific demands placed on a skilled MIS surgeon. In addition, the review contains a selection of studies from those areas that have been seen as important for the future of training in surge…
A Watermarking of Medical Image : New Approach Based On "Multi-Layer" Method
2011
In order to contribute to security sharing and transmission of medical images, this paper propose a new approach for Watermarking image based on the techniques of Code Division Multiple Access (CDMA), Discrete Wavelet transform (DWT) and Error Correcting Code (ECC). The motivation of this approach is to improve the quantity of data integration with the conservation of the image visual quality. Therefore, this work permits to the user the capacity to correct the possible alterations if it exists. IRM and Echographic medical image are used to experiment this approach.
Interpretation of Diagnostic Imaging for Medicolegal Issues
2019
Forensic radiology is a relative recently emergent part of forensic medicine characterized by the application of radiological methods in criminal investigations, such as the forensic M.E’s radiological reports in civil or penal matters for judicial technical advice. The various imaging modalities like X-rays, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and ultrasonography can be used depending on various forms of cases and their requirements in routine investigations.
Scalable multiscale density estimation
2014
Although Bayesian density estimation using discrete mixtures has good performance in modest dimensions, there is a lack of statistical and computational scalability to high-dimensional multivariate cases. To combat the curse of dimensionality, it is necessary to assume the data are concentrated near a lower-dimensional subspace. However, Bayesian methods for learning this subspace along with the density of the data scale poorly computationally. To solve this problem, we propose an empirical Bayes approach, which estimates a multiscale dictionary using geometric multiresolution analysis in a first stage. We use this dictionary within a multiscale mixture model, which allows uncertainty in co…
Photography as a historical source in the classroom. Assessment of a methodology for teaching History in Higher Education
2020
El presente artículo analiza una metodología activa centrada en el uso de fuentes históricas, en este caso la fotografía, para la enseñanza de la Historia en la Educación Superior. La propuesta analizada se llevó a cabo en la asignatura Didáctica de las Ciencias Sociales: Historia del Grado de Maestro en Educación Primaria de la Universidad de Alicante. Los datos obtenidos han sido tratados de forma cualitativa y han permitido conocer, además, la percepción del alumnado ante una nueva manera de trabajar contenidos históricos. Los resultados obtenidos confirman que la metodología que utiliza de forma adecuada la fotografía como fuente histórica incentiva el análisis y la reflexión sobre los …