Pelo olhar de quem não sente a diferença : comparação dos Cores Sets da Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF) para a Paralisia Cerebral com a perspetiva de crianças/ jovens e cuidadores, de Portugal

Introdução: A CIF foi considerada, por alguns clínicos, como não sendo totalmente viável para a aplicação na rotina clínica, já que este sistema de classificação contém mais de 1400 categorias. Posto isto, o processo de desenvolvimento de Core Sets da CIF tem sido priorizado pela OMS, tornando a CIF acessível para a avaliação das cs específicas. Estes pretendem orientar uma avaliação multidisciplinar abrangente, incluindo as categorias da CIF para descrever, de uma forma suficiente, a funcionalidade e incapacidade dos indivíduos. Contudo, podem existir divergências entre a perspetiva de crianças e jovens portugueses com PC e cuidadores sobre a sua cs e os core sets da CIF estabelecidos para a mesma. Objetivo: Identificar os problemas percecionados pelas crianças e jovens com paralisia cerebral e pelos cuidadores em Portugal e analisar em que medida estes aspetos são representados pela versão atual do Comprehensive Core Set da CIF para esta cs. Metodologia: Este estudo é qualitativo, tendo-se utilizado uma amostra conveniente de crianças/jovens com PC e cuidadores. Todos os dados foram recolhidos por meio de entrevistas e posteriormente analisados segundo o protocolo de Coenen. Foi efetuado o linking dos conceitos obtidos das entrevistas para as categorias da CIF, tendo sido comparadas com os Core Sets da CIF para esta condição. Resultados: Este estudo tem uma amostra de 48 indivíduos, sendo que 28 eram crianças e jovens com PC e os restantes 20 eram cuidadores. A média de idades das crianças/jovens incluídos foi 13,04 (±3,26), sendo que a idade mínima incluída foi 8 anos e a idade máxima, 18 anos. A média de idades dos cuidadores incluídos foi de 35,20 (±8,01) anos, sendo que a idade mínima incluída foi 22 anos e a idade máxima 55 anos. Das 256 categorias identificadas, 101 estão contempladas nas categorias dos Comprehensive Core Set da CIF. Estas encontram-se presentes em 58 categorias de 2º nível dos Comprehensive Core Set de um total de 135, correspondendo a 43% dos mesmos. Conclusões: Tendo em conta os resultados obtidos, podemos concluir que os Comprehensive Core Set da CIF para a PC contemplam a grande maioria dos problemas percecionados pela população-alvo, ainda que integre várias categorias que não foram relevantes para esta população em estudo.

O EU na Osteoartrose : comparação dos Core Sets da CIF para a Osteoartrose, com a perspetiva dos utentes com OA da região centro de Portugal

Introdução: Na prática diária, os clínicos necessitam apenas de uma fração das categorias encontradas na CIF. No conflito entre a generalização e a necessidade de captar detalhes, a CIF deve ser adaptada às perspetivas e necessidades de diferentes utilizadores. Esta necessidade surge como a principal motivação por detrás do projeto dos Core Sets, que tem como objetivo extrair uma seleção de categorias de toda a classificação que são relevantes para condições específicas de saúde. Após o desenvolvimento da primeira versão dos Core Sets da CIF para a OA, os autores realçaram a importância desta ser testada sob a perspetiva de diferentes profissionais, em diferentes países e ainda segundo a perspetiva dos indivíduos. Objetivos: Identificar os problemas percecionados pelos indivíduos com OA, da região centro de Portugal e verificar em que medida estes aspetos se encontram compreendidos no Comprehensive e Brief Core Set da CIF, para esta condição de saúde. Metodologia: Foi realizado um estudo qualitativo, recorrendo a uma amostra de conveniência, indivíduos com OA no joelho e/ou anca. A recolha de dados consistiu em entrevistas individuais, e o seu processamento foi efetuado segundo o protocolo de Coenen (2008). Resultados: Foram incluídos 20 indivíduos, perfazendo uma média de idades de 69,65 (±9,8) anos, dos quais 9 são mulheres e 11 homens. Foram identificadas 34 das 55 categorias contempladas no Comprehensive Core Set da CIF e 9 das 12 categorias do Brief Core Set da CIF, 61,82% e 75%, respetivamente. Conclusões: Tendo em conta os resultados, conclui-se que os Comprehensive e Brief Core Sets da CIF para a OA abrangem a perspetiva da população portuguesa, contudo não contemplam alguns dos problemas percecionados pelos indivíduos. Além disso, ainda se verifica que integra algumas categorias não relevantes para esta população.

Design concept evaluation based on rough number and information entropy theory

Concept evaluation at the early phase of product development plays a crucial role in new product development. It determines the direction of the subsequent design activities. However, the evaluation information at this stage mainly comes from experts' judgments, which is subjective and imprecise. How to manage the subjectivity to reduce the evaluation bias is a big challenge in design concept evaluation. This paper proposes a comprehensive evaluation method which combines information entropy theory and rough number. Rough number is first presented to aggregate individual judgments and priorities and to manipulate the vagueness under a group decision-making environment. A rough number based information entropy method is proposed to determine the relative weights of evaluation criteria. The composite performance values based on rough number are then calculated to rank the candidate design concepts. The results from a practical case study on the concept evaluation of an industrial robot design show that the integrated evaluation model can effectively strengthen the objectivity across the decision-making processes.

Mike Heithaus' field crew sets out a longline that has about 40 small hooks baited with mullett. They let the line soak for an hour before they check for sharks, Shark River

This material is based upon work supported by the National Science Foundation through the Florida Coastal Everglades Long-Term Ecological Research program under Cooperative Agreements #DBI-0620409 and #DEB-9910514. This image is made available for non-commercial or educational use only.

Inventory of SINOPS project data sets

During the SINOPS project, an optimal state of the art simulation of the marine silicon cycle is attempted employing a biogeochemical ocean general circulation model (BOGCM) through three particular time steps relevant for global (paleo-) climate. In order to tune the model optimally, results of the simulations are compared to a comprehensive data set of 'real' observations. SINOPS' scientific data management ensures that data structure becomes homogeneous throughout the project. Practical work routine comprises systematic progress from data acquisition, through preparation, processing, quality check and archiving, up to the presentation of data to the scientific community. Meta-information and analytical data are mapped by an n-dimensional catalogue in order to itemize the analytical value and to serve as an unambiguous identifier. In practice, data management is carried out by means of the online-accessible information system PANGAEA, which offers a tool set comprising a data warehouse, Graphical Information System (GIS), 2-D plot, cross-section plot, etc. and whose multidimensional data model promotes scientific data mining. Besides scientific and technical aspects, this alliance between scientific project team and data management crew serves to integrate the participants and allows them to gain mutual respect and appreciation.

Stress Inversion Using LiDAR Tunnel Deformation Measurements

Far-field stresses are those present in a volume of rock prior to excavations being created. Estimates of the orientation and magnitude of far-field stresses, often used in mine design, are generally obtained by single-point measurements of stress, or large-scale, regional trends. Point measurements can be a poor representation of far-field stresses as a result of excavation-induced stresses and geological structures. For these reasons, far-field stress estimates can be associated with high levels of uncertainty. The purpose of this thesis is to investigate the practical feasibility, applications, and limitations of calibrating far-field stress estimates through tunnel deformation measurements captured using LiDAR imaging. A method that estimates the orientation and magnitude of excavation-induced principal stress changes through back-analysis of deformation measurements from LiDAR imaged tunnels was developed and tested using synthetic data. If excavation-induced stress change orientations and magnitudes can be accurately estimated, they can be used in the calibration of far-field stress input to numerical models. LiDAR point clouds have been proven to have a number of underground applications, thus it is desired to explore their use in numerical model calibration. The back-analysis method is founded on the superposition of stresses and requires a two-dimensional numerical model of the deforming tunnel. Principal stress changes of known orientation and magnitude are applied to the model to create calibration curves. Estimation can then be performed by minimizing squared differences between the measured tunnel and sets of calibration curve deformations. In addition to the back-analysis estimation method, a procedure consisting of previously existing techniques to measure tunnel deformation using LiDAR imaging was documented. Under ideal conditions, the back-analysis method estimated principal stress change orientations within ±5° and magnitudes within ±2 MPa. Results were comparable for four different tunnel profile shapes. Preliminary testing using plastic deformation, a rough tunnel profile, and profile occlusions suggests that the method can work under more realistic conditions. The results from this thesis set the groundwork for the continued development of a new, inexpensive, and efficient far-field stress estimate calibration method.

Prior knowledge transfer across transcriptional data sets and technologies using compositional statistics yields new mislabelled ovarian cell line

Here, we describe gene expression compositional assignment (GECA), a powerful, yet simple method based on compositional statistics that can validate the transfer of prior knowledge, such as gene lists, into independent data sets, platforms and technologies. Transcriptional profiling has been used to derive gene lists that stratify patients into prognostic molecular subgroups and assess biomarker performance in the pre-clinical setting. Archived public data sets are an invaluable resource for subsequent in silico validation, though their use can lead to data integration issues. We show that GECA can be used without the need for normalising expression levels between data sets and can outperform rank-based correlation methods. To validate GECA, we demonstrate its success in the cross-platform transfer of gene lists in different domains including: bladder cancer staging, tumour site of origin and mislabelled cell lines. We also show its effectiveness in transferring an epithelial ovarian cancer prognostic gene signature across technologies, from a microarray to a next-generation sequencing setting. In a final case study, we predict the tumour site of origin and histopathology of epithelial ovarian cancer cell lines. In particular, we identify and validate the commonly-used cell line OVCAR-5 as non-ovarian, being gastrointestinal in origin. GECA is available as an open-source R package.

The Governor's Transportation Task Force: Recommendations For Increasing Efficiency, Rough draft, 1995

The spirit behind the creation of the task force is one of good government. It rests upon the basic premise that taxpayers demand the best service possible for their tax dollars. Combine this demand for efficiency with Iowa's aging roadway system, and a projected increase in the state's vehicle miles traveled, the need to examine cost savings becomes apparent. Beyond the rational for good and efficient government, however, is a major concern for potential future reductions in Federal highway funds. Iowa is likely entering a period of needing an expanded transportation system with at best a static capacity for maintenance and construction.

Project AWARE Sets New Records in 2015: 1,000 to Service, Friendships & Community

Project AWARE is the Iowa DNR's volunteer river cleanup.