2006
Authors
Aguiar, A; David, G;
Publication
PLoP 2006 - PLoP Pattern Languages of Programs 2006 Conference Proceedings
Abstract
Good design and implementation are necessary but not sufficient pre-requisites for the successful reuse of object-oriented frameworks. Although not always recognized, good documentation is crucial for effective framework reuse but comes with many issues. Writing good quality documentation for a framework is often hard, costly, and tiresome, especially when not aware of its key problems and the best ways to address them. This document presents two of a set of related patterns that describe proven solutions to help non-experts on solving recurrent problems of documenting object-oriented frameworks. The patterns here presented address the problems of describing the customization points of the framework and how such customization is supported, respectively the patterns Customization Points and Design Internals. Copyright 2006 ACM.
2006
Authors
Fonseca, NA; Silva, F; Camacho, R;
Publication
LOGICS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
Abstract
Inductive Logic Programming (ILP) is a Machine Learning research field that has been quite successful in knowledge discovery in relational domains. ILP systems use a set of pre-classified examples (positive and negative) and prior knowledge to learn a theory in which positive examples succeed and the negative examples fail. In this paper we present a novel ILP system called April, capable of exploring several parallel strategies in distributed and shared memory machines.
2006
Authors
Abreu, I; Costa, I; Oliveira, M; Cunha, M; de Castro, R;
Publication
PROTOPLASMA
Abstract
The cultivar Loureiro of Vitis vinifera is one of the most economically important, recommended in almost the totality of the Regiao Demarcada dos Vinhos Verdes. In vineyards, the grape productivity of this cultivar is normal while in others it is extremely low. The aim of this work was to study the morphology and germination of Vitis vinifera cv. Loureiro pollen with high and low productivity. The pollen grain was examined under light, transmission and scanning electron microscopy. Typically V. vinifera pollen present three furrows but in the cultivar Loureiro we found tricolporated and acolporated (without furrows or pores) pollen grains. Both pollen types present generative and vegetative cells with the usual aspect and a dense cytoplasm rich in organelles. In the acolporated pollen a continuous exine layer and an irregular intine layer were observed. Differences were found in the starch accumulation, since only in tricolporated pollen abundant plastids filled with numerous starch granules were observed. To determine the causes of the low productivity of this cultivar we tested pollen viability by the fluorochromatic reaction and pollen germinability by in vitro assays. We observed that the acolporated pollen grain is viable, but no germination was recorded.
2006
Authors
Ferreira, L; Teixeira, A; Da Silva Cunha, JP;
Publication
Proceedings of the 3rd International Workshop on Natural Language Understanding and Cognitive Science, NLUCS 2006, in Conjunction with ICEIS 2006
Abstract
Information extraction technology, as defined and developed through the U.S. DARPA Message Understanding Conferences (MUCs), has proved successful at extracting information primarily from newswire texts and in domains concerned with human activity. This paper presents an Information Extraction (IE) system, intended to extract structured information from medical reports written in Portuguese. A first evaluation is performed and the results are discussed.
2006
Authors
Lourenco, R; Camacho, R; Barata, MJ; Canario, D; Gaspar, A; Cyrne, C;
Publication
Revista Portuguesa de Pneumologia
Abstract
CT-guide Percutaneous Transthoracic Biopsies (PTB) performed in the Radiology Department of Garcia de Orta Hospital between 2002 and 2004 to evaluate undetermined pulmonary lesions were retrospectively analysed. 89 fine needle aspiration biopsies (FNAB) and 13 core needle biopsies (CNB) were performed on 92 patients (67 men, mean age: 64.4 years). 82 lesions (89%) were nodular lesions (mean diameter: 3.8±1.7 cm, 65 peripheral). We did not observe complications among patients who underwent CNB; minor complications and pneumothorax requiring drainage occurred in 11 FNAB. 72 FNAB were considered adequate for cytology diagnosis; 72% of them positive for malignancy. All CNB were adequate and conclusive. From the 7 CNB performed on patients with previous FNAB, 3 allowed a better histological characterization and in 3 cases of inadequate FNAB, CNB was conclusive. All malignant lesions were nodules: 20 adenocarcinoma, 13 non-small cell lung cancer (SCLC), 10 epidermoid tumours, 5 small-cell lung cancer, 2 carcinoids, 1 bronchiolo alveolar carcinoma, 1 malignant mesothelioma and 8 metastasis. Unspecific/ inflammatory lesions (n=5) were the most frequent benign lesions. Malignant lesions were more prevalent in older patients (p=0.007) and were larger (p=0.006). Spiculated and lobulated contour (p=0.05) were more prevalent in malignant lesions while regular contour was more frequent among benign lesions (p=0.0001). Gender, smoking, location, pleural tag, homogenous attenuation, cavitation, calcification, necrosis and air bronchogram did not differ significantly between benign and malignant nodules. This study shows that CT-guided PTB is a safe and effective procedure in the evaluation of undetermined pulmonary lesions.
2006
Authors
Reinaldo, F; Siqueira, M; Camacho, R; Reis, LP;
Publication
WSEAS Transactions on Systems
Abstract
This paper presents the AFRANCI tool for the development of Multi-Strategy learning systems. Designing a Multi-Strategy system using AFRANCI is a two step process. The use interactively designs the structure of the system and then chooses the learning strategies for each module. After providing the datasets all modules as automatically trained. The system is aware and takes into consideration the inter-dependency of the modules. The tool has built-in learning algorithms but can use external programs implementing the learning algorithms. The tool has the following facilities. It allows any user to design in an interactive and easy fashion the structure of the target system. The structure of the target system is a collection of interconnected modules. The user may then choose the different learning algorithms to construct each module. The tool has several built-in Machine Learning algorithms has has interfaces that enables it to use external learning tools like WEKA and CN2. AFRANCI uses the interdependency of the modules to determine the sequence of training. For each module the system uses a wrapper to tune automatically the parameters of the learning algorithm. In the final step of the design sequence AFRANCI generates a compact and legible ready-to-use ANSI C open-source code for the final system.
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