Extensão Universitária: Estudo de Caso do ISCEE Cabo Verde Business School

o objectivo da presente comunicação é apresentar o resultado da investigação aplicada no ISCEE sob a forma de extensão universitária. Este novo paradigma no Ensino Superior deve ser aplicado em todas as IES, de forma a demonstrar à comunidade em geral as três dimensões da missão das Universidades, nomeadamente, o ensino, investigação e extensão. Aliás estas três dimensões deverão igualmente ser contabilizados na elaboração de rankings universitários que normalmente não avaliam os mecanismos de extensão universitária. Em África, as Universidades são promotoras do desenvolvimento local e trabalham directamente com as comunidades no processo de partilha e disseminação do conhecimento para dotar as comunidades de ferramentas e instrumentos para o seu desenvolvimento. O Estudo de caso apresentado, IRT, Itinerário de Recursos Turísticos, mostra como o ISCEE se candidatou a um concurso público lançado para fazer o levantamento exaustivo dos itinerários turísticos em Cabo Verde nas principais ilhas, Santiago, São Vicente, Santo Antão e São Nicolau. Estiveram envolvidos nestes projectos vários docentes e alunos do ISCEE, no terreno, o que também demonstra a importância da extensão universitária promover “ in loco” a simbiose na relação entre docentes e alunos em termos de trabalho de campo e ao mesmo tempo cumprir a missão do ISCEE que é a de reforçar a competitividade de Cabo Verde, através da formação de recursos humanos qualificados e ao mesmo tempo responder aos grandes desafios do País, em especial, a dinamização do cluster do Turismo. A transmissão e difusão do conhecimento universitário para a sociedade, o conhecimento pluriversitário é o grande desígnio do ISCEE em Cabo Verde.

Report on a special investigation of the UNI Malcolm Price Laboratory School for the period July 1, 2006 through March 31, 2009

Report on a special investigation of the UNI Malcolm Price Laboratory School for the period July 1, 2006 through March 31, 2009

Atlas-based segmentation of pathological MR brain images using a model of lesion growth.

We propose a method for brain atlas deformation in the presence of large space-occupying tumors, based on an a priori model of lesion growth that assumes radial expansion of the lesion from its starting point. Our approach involves three steps. First, an affine registration brings the atlas and the patient into global correspondence. Then, the seeding of a synthetic tumor into the brain atlas provides a template for the lesion. The last step is the deformation of the seeded atlas, combining a method derived from optical flow principles and a model of lesion growth. Results show that a good registration is performed and that the method can be applied to automatic segmentation of structures and substructures in brains with gross deformation, with important medical applications in neurosurgery, radiosurgery, and radiotherapy.

Report on the Iowa Braille and Sight Saving School, Vinton, Iowa, for the year ended June 30, 2008

Report on the Iowa Braille and Sight Saving School, Vinton, Iowa, for the year ended June 30, 2008

Report on the Iowa School for the Deaf, Council Bluffs, Iowa for the year ended June 30, 2008

Report on the Iowa School for the Deaf, Council Bluffs, Iowa for the year ended June 30, 2008

Safe Routes to School, June 7, 2006

Parental concerns about traffic and strangers have reduced children’s freedom to move about their neighborhoods on their own. Programs like the Walking School Bus — an adult-supervised walk to school — identify safe routes to school, and teach safe crossing practices and “street smart” skills. Appropriate infrastructure like sidewalks and bicycling paths is also important.

Characterization and Application of Educational Virtual Environments for Science Teaching in Secondary School

This work describes the characteristics of a representative set of seven different virtual laboratories (VLs) aimed for science teaching in secondary school. For this purpose, a 27-item evaluation model that facilitates the characterization of the VLs was prepared. The model takes into account the gaming features, the overall usability, and also the potential to induce scientific literacy. Five of the seven VLs were then tested with two larger and highly heterogenic groups of students, and in two different contexts – biotechnology and physics, respectively. It is described how the VLs were received by the students, taking into account both their motivation and their self-reported learning outcome. In some cases, students’ approach to work with the VLs was recorded digitally, and analyzed qualitatively. In general, the students enjoyed the VL activities, and claimed that they learned from them. Yet, more investigation is required to address the effectiveness of these tools for significant learning.

Dense deformation field estimation for atlas-based segmentation of pathological MR brain images.

Atlas registration is a recognized paradigm for the automatic segmentation of normal MR brain images. Unfortunately, atlas-based segmentation has been of limited use in presence of large space-occupying lesions. In fact, brain deformations induced by such lesions are added to normal anatomical variability and they may dramatically shift and deform anatomically or functionally important brain structures. In this work, we chose to focus on the problem of inter-subject registration of MR images with large tumors, inducing a significant shift of surrounding anatomical structures. First, a brief survey of the existing methods that have been proposed to deal with this problem is presented. This introduces the discussion about the requirements and desirable properties that we consider necessary to be fulfilled by a registration method in this context: To have a dense and smooth deformation field and a model of lesion growth, to model different deformability for some structures, to introduce more prior knowledge, and to use voxel-based features with a similarity measure robust to intensity differences. In a second part of this work, we propose a new approach that overcomes some of the main limitations of the existing techniques while complying with most of the desired requirements above. Our algorithm combines the mathematical framework for computing a variational flow proposed by Hermosillo et al. [G. Hermosillo, C. Chefd'Hotel, O. Faugeras, A variational approach to multi-modal image matching, Tech. Rep., INRIA (February 2001).] with the radial lesion growth pattern presented by Bach et al. [M. Bach Cuadra, C. Pollo, A. Bardera, O. Cuisenaire, J.-G. Villemure, J.-Ph. Thiran, Atlas-based segmentation of pathological MR brain images using a model of lesion growth, IEEE Trans. Med. Imag. 23 (10) (2004) 1301-1314.]. Results on patients with a meningioma are visually assessed and compared to those obtained with the most similar method from the state-of-the-art.

Folklore Fellows' summer school 1995 : personal recollections

by Isabel, Baiba, Lillis, Maria, and Ermis

Survey of School Library Media Centers in Iowa, July 2001-May 2002

Survey of School Library Media Centers in Iowa.

Survey of School Library Media Centers in Iowa, July 2002-June 2003

Survey of School Library Media Centers in Iowa.

Survey of School Library Media Centers in Iowa, July 2003-June 2004

Survey of School Library Media Centers in Iowa.

Survey of School Library Media Centers in Iowa, July 2004-June 2005

Survey of School Library Media Centers in Iowa.

Results of FY07 School Library Survey

Summary of results from the FY07 School Library Survey formatted by percentiles and student population size groups defined by the Iowa School Library Program Guidelines

Summary of Results of the FY08 Iowa School Library Survey

Summary of results from the FY08 School Library Survey formatted by percentiles (from 25th to 90th percentiles) and student population size groups defined by the Iowa School Library Program Guidelines.