Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization

Meshless methods are used for their capability of producing excellent solutions without requiring a mesh, avoiding mesh related problems encountered in other numerical methods, such as finite elements. However, node placement is still an open question, specially in strong form collocation meshless methods. The number of used nodes can have a big influence on matrix size and therefore produce ill-conditioned matrices. In order to optimize node position and number, a direct multisearch technique for multiobjective optimization is used to optimize node distribution in the global collocation method using radial basis functions. The optimization method is applied to the bending of isotropic simply supported plates. Using as a starting condition a uniformly distributed grid, results show that the method is capable of reducing the number of nodes in the grid without compromising the accuracy of the solution. (C) 2013 Elsevier Ltd. All rights reserved.

Scaling law in Saddle-node bifurcations for one-dimensional maps: A complex variable approach

The study of transient dynamical phenomena near bifurcation thresholds has attracted the interest of many researchers due to the relevance of bifurcations in different physical or biological systems. In the context of saddle-node bifurcations, where two or more fixed points collide annihilating each other, it is known that the dynamics can suffer the so-called delayed transition. This phenomenon emerges when the system spends a lot of time before reaching the remaining stable equilibrium, found after the bifurcation, because of the presence of a saddle-remnant in phase space. Some works have analytically tackled this phenomenon, especially in time-continuous dynamical systems, showing that the time delay, tau, scales according to an inverse square-root power law, tau similar to (mu-mu (c) )(-1/2), as the bifurcation parameter mu, is driven further away from its critical value, mu (c) . In this work, we first characterize analytically this scaling law using complex variable techniques for a family of one-dimensional maps, called the normal form for the saddle-node bifurcation. We then apply our general analytic results to a single-species ecological model with harvesting given by a unimodal map, characterizing the delayed transition and the scaling law arising due to the constant of harvesting. For both analyzed systems, we show that the numerical results are in perfect agreement with the analytical solutions we are providing. The procedure presented in this work can be used to characterize the scaling laws of one-dimensional discrete dynamical systems with saddle-node bifurcations.

Multiobjective optimization for node adaptation in the analysis of composite plates using a meshless collocation method

The bending of simply supported composite plates is analyzed using a direct collocation meshless numerical method. In order to optimize node distribution the Direct MultiSearch (DMS) for multi-objective optimization method is applied. In addition, the method optimizes the shape parameter in radial basis functions. The optimization algorithm was able to find good solutions for a large variety of nodes distribution.

Tratamento radiocirúrgico de metástases cerebrais: a relação da histologia, localização cerebral e sintomas

Objetivo – Caracterizar clínica e estatisticamente os doentes com metástases cerebrais submetidos a radiocirurgia. Metodologia – Análise retrospetiva dos doentes com metástases cerebrais submetidos a radiocirurgia com Linac no Hospital do Meixoeiro, sendo a informação analisada no SPSS, versão 18. Resultados – Avaliaram‑se 116 doentes com metástases cerebrais. As localizações primárias de pulmão (54,30%) e mama (21,60%) predominaram. Destacaram‑se como sintomas mais frequentes: cefaleias, fraqueza motora, hemiparesia, paresia e tonturas. Confirma‑se a existência de correlação entre os sintomas decorrentes da presença de metástase e a sua localização cerebral, evidenciando a sua importância no diagnóstico precoce das metástases. O lobo frontal foi a localização cerebral predominante. Discussão e Considerações Finais – Verifica‑se que tendencialmente não existe correlação entre a localização primária e a localização cerebral da metástase. O número de metástases tratadas não sugere ter influência no tempo de sobrevida após o seu diagnóstico. A realização de cirurgia e/ou administração de radioterapia holocraniana previamente à radiocirurgia não apresentou prolongamento de sobrevida em comparação com os doentes não submetidos a tratamento prévio. ABSTRACT: Objective – To characterize clinically and statistically patients with brain metastases who underwent radiosurgery. Methodology – Retrospective analysis of patients with brain metastases that underwent linear accelerator‑based radiosurgery in Hospital do Meixoeiro, and the information analyzed in SPSS version 18. Results – Were evaluated 116 patients with brain metastases. Primary tumors of lung (54.30%) and breast (21.60%) were predominant. Symptoms that stood out as common: headache, motor deficit, hemiparesis, paresis and dizziness. It was confirmed the existence of a correlation between the symptoms arising from the presence of metastasis and its brain location, showing its importance in early diagnosis of metastases. The frontal lobe and the parietal lobe represented the most affected locations by brain metastases. Discussion of results and Concluding Remarks – It verified that tends to be no correlation between the primary location of the tumor and the location of brain metastasis. The number of treated metastases didn’t suggest influence on survival after their diagnosis. The realization of surgery and/or administration of whole‑brain irradiation therapy prior to radiosurgery, showed no prolongation of survival compared with patients that were not submitted to previous treatment.

Modalidades síncronas e assíncronas no ensino da radiologia do sistema nervoso: estilos e resultados de aprendizagem

Lidar com as problemáticas da saúde, implica um domínio dos processos cognitivos (raciocínio, resolução de problemas e tomada de decisão) e de desempenhos práticos, o que obriga a afectação de um conjunto de atitudes e comportamentos específicos. Este estudo, implementou e avaliou o impacto de experiências pedagógicas desenvolvidas com os estudantes da unidade curricular Radiologia do Sistema Nervoso (RSN) da Escola Superior de Tecnologia da Saúde de Lisboa (ESTeSL). Aplicaram-se metodologias de ensino mistas (presenciais e virtuais) utilizadas na leccionação teórica e prática no ano curricular 2008/2009. Para a avaliação do perfil de aprendizagem dos estudantes foi aplicado o método de Honey & Munford e para a avaliação e monitorização dos conhecimentos aplicaram-se check list baseadas nos conteúdos programáticos. A monitorização das ferramentas da plataforma moodle complementaram a restante informação. Verificou-se uma progressão de aprendizagem positiva para um grupo de estudantes maioritariamente do estilo reflexivo (média=10,6 estudantes). As conclusões apontaram para um impacto positivo quanto à aplicação das metodologias híbridas com maior índice de sucesso para a metodologia assíncrona. Verificou-se também mais flexibilidade no acesso aos conteúdos porém com algumas limitações tais como residência inicial por parte dos estudantes, maior carga de trabalho para os docentes, falta de terminais para acesso à plataforma e pouca experiência de todos os envolvidos no domínio e manipulação da plataforma. ABSTRACT - This study focused on the role of cognitive processes (reasoning, problem solving and decision making) and performance practice in the formation of attitudes and behaviours relating to health issues. It was conducted to evaluate the effects of pedagogical experiences on students who participated in the course in radiography in the Nervous System Imaging Unit (RSN) of the Lisbon Health School of Technology. Mixed (face-to-face and virtual) teaching methodologies were used in theory and practice sessions. Honey and Munford’s method was used to evaluate the learning profile of students. To monitor and evaluate students’ knowledge acquisition, check lists based on program topics were applied. Other information was supplied through the learning platform of Moodle. The student group with mostly a reflective learning style increased their knowledge. The asynchronous method was shown to produce a higher success rate and more flexibility in accessing content but also registered some limitations such as resistance by students, increased workload for teachers, lack of access to the platform and inexperience of all involved in handling the platform.

A interdisciplinaridade das tecnologias da saúde no diagnóstico e no tratamento de tumores de mama: estudo de caso

Introdução – O cancro de mama é a principal causa de morte por cancro na população feminina portuguesa. Assim, pretende-se descrever sucintamente o percurso de uma paciente com tumor de mama, evidenciando a interligação entre algumas áreas das tecnologias da saúde. Metodologia – Selecionou-se um caso clínico de uma paciente com cancro de mama e recorreu-se à pesquisa bibliográfica de forma a apoiar ou refutar os resultados obtidos com o referido caso clínico. Resultados e discussão de resultados – Em 1996 foi diagnosticado à paciente um carcinoma ductal da mama esquerda e posteriormente, em 2011, foi diagnosticada uma metástase do carcinoma mamário com padrão mucinoso. Neste caso, bem como em todos os tumores de mama, foi realizada uma abordagem multidisciplinar envolvendo diferentes áreas das tecnologias da saúde. Para deteção e diagnóstico do cancro de mama são utilizadas a mamografia e a ultrassonografia. Para casos de re-estadiamento e monitorização da terapêutica devem ser utilizadas a tomografia por emissão de positrões (TEP) e a ressonância magnética mamária. No que se refere à terapêutica, neste tipo de tumores recorre-se à cirurgia, à radioterapia e à quimioterapia. ABSTRACT - Introduction – The breast cancer is the main cause of death by cancer in the Portuguese female population. We intend to describe briefly the pathway of a patient with breast cancer, highlighting the connection between some of the health technology areas. Methodology – It was selected a clinical case of a patient with breast cancer and it was used a literature research to support or refute the results obtained with the mentioned clinical case. Results and discussion – In 1996, it was diagnosed to the patient a ductal carcinoma of the left breast and in 2011 it was diagnosed a breast metastases. In this case, as well as other breast tumours, it was done a multidisciplinary approach involving different areas of health technologies. For detection and diagnose of breast cancer it’s used the mammography and ultrasound. For cases of re-staging and treatment monitoring it should be used positron emission tomography and magnetic resonance imaging of the breast. Regarding the therapy approach, in this type of tumours, it is used surgery, radiotherapy and chemotherapy.

Compostos de dextrano-manose marcados com o 67Ga para a deteção do gânglio sentinela

Mestrado em Medicina Nuclear - Área de especialização: Radiofarmácia.

Start-up circuit for low-power indoor light energy harvesting applications

A start-up circuit, used in a micro-power indoor light energy harvesting system, is described. This start-up circuit achieves two goals: first, to produce a reset signal, power-on-reset (POR), for the energy harvesting system, and secondly, to temporarily shunt the output of the photovoltaic (PV) cells, to the output node of the system, which is connected to a capacitor. This capacitor is charged to a suitable value, so that a voltage step-up converter starts operating, thus increasing the output voltage to a larger value than the one provided by the PV cells. A prototype of the circuit was manufactured in a 130 nm CMOS technology, occupying an area of only 0.019 mm(2). Experimental results demonstrate the correct operation of the circuit, being able to correctly start-up the system, even when having an input as low as 390 mV using, in this case, an estimated energy of only 5.3 pJ to produce the start-up.

A model for heterogeneous networks management and Performance evaluation

In general, modern networks are analysed by taking several Key Performance Indicators (KPIs) into account, their proper balance being required in order to guarantee a desired Quality of Service (QoS), particularly, cellular wireless heterogeneous networks. A model to integrate a set of KPIs into a single one is presented, by using a Cost Function that includes these KPIs, providing for each network node a single evaluation parameter as output, and reflecting network conditions and common radio resource management strategies performance. The proposed model enables the implementation of different network management policies, by manipulating KPIs according to users' or operators' perspectives, allowing for a better QoS. Results show that different policies can in fact be established, with a different impact on the network, e.g., with median values ranging by a factor higher than two.

e-Recruitment: descrição e inferência sobre oferta e procura

Trabalho de Projeto para obtenção do grau de Mestre em Engenharia Informática e de Computadores

A SON Enhanced Algorithm for Observed Time Differences Based Geolocation in Real 3G Networks

Conferência - 16th International Symposium on Wireless Personal Multimedia Communications (WPMC)- Jun 24-27, 2013

A influência do local de estimulação ventricular na incidência de taquiarritmias auriculares em doentes com pacemaker permanente

Mestrado em Tecnologia de Diagnóstico e Intervenção Cardiovascular

Optimização da lista de células vizinhas em redes LTE

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia de Electrónica e Telecomunicações

Assessment of the quality of brain regions and neuroimaging metrics as biomarkers of Alzheimer’s disease

Alzheimer Disease (AD) is characterized by progressive cognitive decline and dementia. Earlier diagnosis and classification of different stages of the disease are currently the main challenges and can be assessed by neuroimaging. With this work we aim to evaluate the quality of brain regions and neuroimaging metrics as biomarkers of AD. Multimodal Imaging Brain Connectivity Analysis (MIBCA) toolbox functionalities were used to study AD by T1weighted, Diffusion Tensor Imaging and 18FAV45 PET, with data obtained from the AD Neuroimaging Initiative database, specifically 12 healthy controls (CTRL) and 33 patients with early mild cognitive impairment (EMCI), late MCI (LMCI) and AD (11 patients/group). The metrics evaluated were gray-matter volume (GMV), cortical thickness (CThk), mean diffusivity (MD), fractional anisotropy (FA), fiber count (FiberConn), node degree (Deg), cluster coefficient (ClusC) and relative standard-uptake-values (rSUV). Receiver Operating Characteristic (ROC) curves were used to evaluate and compare the diagnostic accuracy of the most significant metrics and brain regions and expressed as area under the curve (AUC). Comparisons were performed between groups. The RH-Accumbens/Deg demonstrated the highest AUC when differentiating between CTRLEMCI (82%), whether rSUV presented it in several brain regions when distinguishing CTRL-LMCI (99%). Regarding CTRL-AD, highest AUC were found with LH-STG/FiberConn and RH-FP/FiberConn (~100%). A larger number of neuroimaging metrics related with cortical atrophy with AUC>70% was found in CTRL-AD in both hemispheres, while in earlier stages, cortical metrics showed in more confined areas of the temporal region and mainly in LH, indicating an increasing of the spread of cortical atrophy that is characteristic of disease progression. In CTRL-EMCI several brain regions and neuroimaging metrics presented AUC>70% with a worst result in later stages suggesting these indicators as biomarkers for an earlier stage of MCI, although further research is necessary.

Coding mode decision algorithm for binary descriptor coding

In visual sensor networks, local feature descriptors can be computed at the sensing nodes, which work collaboratively on the data obtained to make an efficient visual analysis. In fact, with a minimal amount of computational effort, the detection and extraction of local features, such as binary descriptors, can provide a reliable and compact image representation. In this paper, it is proposed to extract and code binary descriptors to meet the energy and bandwidth constraints at each sensing node. The major contribution is a binary descriptor coding technique that exploits the correlation using two different coding modes: Intra, which exploits the correlation between the elements that compose a descriptor; and Inter, which exploits the correlation between descriptors of the same image. The experimental results show bitrate savings up to 35% without any impact in the performance efficiency of the image retrieval task. © 2014 EURASIP.