50 documents found, page 1 of 5

Clinical prediction and spatial statistical analysis of ascending thoracic aort...

This study presents an analysis of data from patients with ascending thoracic aortic aneurysms (ATAAs). Two databases of 87 patients were available: one containing clinical variables and the other consisting of measurements of the maximum diameter taken along the ascending aorta. For the clinical database, both a supervised and an unsupervised learning method were applied to explore patterns within the data. On...

Viva a Matemática! Pré-escolar – 3 anos

Muitas pessoas, incluindo matemáticos, pensam que a Matemática tratada na educação pré-escolar é leve, pouco importante e quase inexistente; a Matemática «a sério» só começa no primeiro ciclo de escolaridade. Esta ideia está longe da verdade; a evidência fornecida por investigadores das mais diversas áreas é tão vasta que se pode estabelecer como facto que alguns dos conceitos e procedimentos mais importantes p...

Os licenciados em ciências sociais, na Universidade Aberta: Quem são? O que apr...

A licenciatura em Ciências Sociais da Universidade Aberta, realizada integralmente na modalidade de e-learning, tem acolhido um número crescente de estudantes, tendo nos últimos anos superado os 3000 estudantes matriculados, o que a torna a maior desta instituição e uma das maiores do país. A presente comunicação procura identificar e discutir os perfis de entrada dos estudantes, a experiência académica durante...

Projetos e necessidades de formação dos licenciados da Universidade Aberta

Analysis of thoracic aortic aneurysm CTA scans using spatial statistics

This study leverages spatial statistics to analyze the spatial distribution of the aorta, aiming to better understand the biomechanical behavior of Ascending Thoracic Aortic Aneurysms (ATAA) and its impact on clinical outcomes. CTA angiography was performed on 87 ATAA patients. Experimental variograms were computed for various variables, such as maximum diameter, from which key parameters of interest were extra...

A statistical assessment of drilling effects on glass fiber-reinforced polymeri...

Fiber-reinforced composites are extensively used in many components and structures in various industry sectors, and the need to connect and assemble such types of components may require drilling operations. Although drilling is a common machining process; when dealing with fiber-reinforced composite materials, additional and specific problems may arise that can com-promise mechanical integrity. So, the main goa...

A influência das obstruções na ventilação em parques de estacionamento – estudo...

Este artigo apresenta um estudo preliminar sobre a influência e o impacto das obstruções na eficiência e dispersão do escoamento criado pelo sistema de ventilação de um parque de estacionamento. Modelou-se uma zona representativa de um parque de estacionamento coberto considerando diferentes distâncias de obstrução a ventilador de impulso e diferentes condições de escoamento angular à sua saída. As simulações f...

A Bayesian approach to model velocity fields and mass flow rates

With the present work, one aims to study the effects of a jet impinging on an obstacle at a closed car park, which is described by a representative zone with an impulse jet fan and an obstacle. In this study, the flow velocity at two critical heights (1.2 m and 1.8 m) is considered a proxy for measuring the risk to car park occupants in case of fire. To capture the problematic conditions due to the obstacle, a ...

A statistical assessment of drilling effects on glass fiber-reinforced polymeri...

Fiber-reinforced composites are extensively used in many components and structures in various industry sectors, and the need to connect and assemble such types of components may require drilling operations. Although drilling is a common machining process; when dealing with fiber-reinforced composite materials, additional and specific problems may arise that can com-promise mechanical integrity. So, the main goa...

Clustering of wind speed time series as a tool for wind farm diagnosis

In several industrial fields, environmental and operational data are acquired with numerous purposes, potentially generating a huge quantity of data containing valuable information for management actions. This work proposes a methodology for clustering time series based on the K-medoids algorithm using a convex combination of different time series correlation metrics, the COMB distance. The multidimensional sca...