The influence of differente speeds on backpacker's gait kinectics

This study analyzed the influence of different speeds on ground reaction force’s (GRF), impulses and mean vertical force during gait of people submitted to occasional overload (backpack). A force plate was used to record the GRF data of 60 young adult subjects walking in two different cadences: 69 steps/min (slow gait) and 120 steps/min (fast gait). During the slow gait, the impact and propulsive impulses of vertical GRF, propulsive impulse of anterior-posterior GRF, impulse of medial-lateral GRF and duration of stance phase were larger than during the fast gait; the mean vertical force was the only variable that showed larger values during fast gait. Therefore, slow gait may present a larger possibility of blister development and gait unbalance, while the fast gait, even presenting a small impulse, seems to be more harmful to the musculoskeletal system.

Peer Instruction method in introductory math courses

Learning is not a spectator’s sport. Students do not learn much by just sitting in class listening their teachers, memorizing pre-packaged assignments and spitting out answers. The teaching-learning process has been a constant target of studies, particularly in Higher Education, in consequence of the annual increase of new students. The concern with maintaining a desired quality level in the training of these students, conjugated with the will to widen the access to all of those who finish Secondary School Education, has triggered a greater intervention from the education specialists, in partnership with the teachers of all Higher Education areas, in the analysis of this problem. Considering the particular case of Engineering, it has been witnessed a rising concern with the active learning strategies and forms of assessment. Research has demonstrated that students learn more if they are actively engaged with the material they are studying. In this presentation we describe, present and discuss the techniques and the results of Peer Instruction method in an introductory Calculus courses of an Engineering Bach

Personalized sightseeing tours support using mobile devices

In this paper, we present PSiS (Personalized Sightseeing Tours Recommendation System) Mobile. PSiS Mobile is our proposal to a mobile recommendation and planning support system, which is designed to provide effective support during the tourist visit with context-aware information and recommendations about places of interest (POI), exploiting tourist preferences and context.

Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs

With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.

Ressonância magnética de corpo inteiro/whole-body MRI

A introdução de Ressonância Magnética de Corpo Inteiro (RM-CI) de alta resolução é baseada no desenvolvimento rápido e intensivo dos equipamentos de RM. Estes avanços associados ao aparecimento de novos métodos de aquisição de imagem, como as técnicas de Multistation ou imagem paralela impulsionam a RM-CI. Associado ao desenvolvimento tecnológico, a RM-CI apresenta vantagens clínicas essencialmente para patologias oncológicas como é o caso das metástases ósseas, e para patologias do foro cardiovascular. Muitas destas situações ainda se encontram em investigação mas os primeiros resultados têm superado todas as expectativas nomeadamente a RM-CI com a aplicação da técnica de Difusão.

Validação de metodologia analítica para determinação de oxalato na urina

A validação metodológica permite evidenciar se os resultados obtidos por um método são confiáveis, tornando-se um elemento essencial na qualidade. Neste estudo, cujo objectivo é validar a metodologia enzimática para determinação de oxalato na urina, incluíram-se 30 amostras de urina de 24horas, pré-tratadas e estudadas em dois auto-analisadores. Os valores dos limites de detecção e quantificação foram 0,98 e 0,79 mg/L, respectivamente. Para a exactidão obteve-se p=0,713. Na precisão intermédia entre corridas não existem diferenças estatisticamente significativas, em oposição às repetições. Para a linearidade obteve-se r=1 e a sensibilidade foi 0,6%. Conclui-se que o método se mostrou exacto e linear.

Vertebroplastia percutânea por fractura osteoporótica

A Vertebroplastia Percutânea é uma técnica minimamente invasiva relativamente recente, que tem reconhecidas vantagens e aplicações em fracturas compressivas dos corpos vertebrais. Basicamente, consiste na injecção de um Cimento Acrílico no interior do corpo vertebral, e desse modo, minimizar e estabilizar fracturas compressivas dos corpos vertebrais, que são frequentemente de etiologia osteoporótica. Fortemente indicada no tratamento de fracturas incapacitantes, possui como complicação principal o extravasamento do Cimento. Este artigo pretende abordar a técnica, expondo suas indicações, vantagens e complicações mais frequentes. Esta permite reduzir a elevada taxa de morbilidade e impacto económico-social associado à Osteoporose.

Orientation system for people with cognitive disabilities

In health care there has been a growing interest and investment in new tools to have a constant monitoring of patients. The increasing of average life ex-pectation and, consequently, the costs in health care due to elderly population are the motivation for this investment. However, healthmonitoring is not only important to elderly people, it can be also applied to people with cognitive disabilities. In this article we present some systems, which try to support these persons on doing their day-to-day activities and how it can improve their life quality. Also, we present an idea to a project that tries to help the persons with cognitive disabilities by providing assistance in geo-guidance and keep their caregivers aware of their location.

An integrated system to support electricity tariff contract definition

This paper presents an integrated system that helps both retail companies and electricity consumers on the definition of the best retail contracts and tariffs. This integrated system is composed by a Decision Support System (DSS) based on a Consumer Characterization Framework (CCF). The CCF is based on data mining techniques, applied to obtain useful knowledge about electricity consumers from large amounts of consumption data. This knowledge is acquired following an innovative and systematic approach able to identify different consumers’ classes, represented by a load profile, and its characterization using decision trees. The framework generates inputs to use in the knowledge base and in the database of the DSS. The rule sets derived from the decision trees are integrated in the knowledge base of the DSS. The load profiles together with the information about contracts and electricity prices form the database of the DSS. This DSS is able to perform the classification of different consumers, present its load profile and test different electricity tariffs and contracts. The final outputs of the DSS are a comparative economic analysis between different contracts and advice about the most economic contract to each consumer class. The presentation of the DSS is completed with an application example using a real data base of consumers from the Portuguese distribution company.

Recommendation & mobile systems - a state of the art for tourism

Recommendation systems have been growing in number over the last fifteen years. To evolve and adapt to the demands of the actual society, many paradigms emerged giving birth to even more paradigms and hybrid approaches. These approaches contain strengths and weaknesses that need to be evaluated according to the knowledge area in which the system is going to be implemented. Mobile devices have also been under an incredible growth rate in every business area, and there are already lots of mobile based systems to assist tourists. This explosive growth gave birth to different mobile applications, each having their own advantages and disadvantages. Since recommendation and mobile systems might as well be integrated, this work intends to present the current state of the art in tourism mobile and recommendation systems, as well as to state their advantages and disadvantages.

PSiS Mobile

In this paper, we present a state of the art on applications of mobile devices to support decision of a tourist running on a trip. We focus on two types of applications, tourism recommendation and tourism guide, making a brief description of the main characteristics of each one of them. We also refer the main problems encountered on the development of applications for mobile devices, and present PSiS (Personalized Sightseeing Tours Recommendation System) Mobile, our proposal to a mobile recommendation and planning support system, which is designed to provide an effective support during the tourist visit, providing contextaware information and recommendations about places of interest (POI) to visit, based on tourist preferences and his current context.

Shopping center tracking and recommendation systems

Shopping centers present a rich and heterogeneous environment, where IT systems can be implemented in order to support the needs of its actors. However, due to the environment complexity, several feasibility issues emerge when designing both the logical and physical architecture of such systems. Additionally, the system must be able to cope with the individual needs of each actor, and provide services that are easily adopted by them, taking into account several sociological and economical aspects. In this sense, we present an overview of current support systems for shopping center environments. From this overview, a high-level model of the domain (involving actors and services) is described along with challenges and possible features in the context of current Semantic Web, mobile device and sensor technologies.