[Re]ativar os terrenos abandonados e a vegetação nas margens do rio Tâmega e das Lagoas em Chaves

Dissertação de mestrado integrado em Arquitectura

Repository power: how repositories can support Open Access mandates

Many funding agencies have Open Access mandates in place, but how often are scientific publications as outputs linked to funding details? The benefits of linking funding information to publications as part of the deposit workflow can assist in adhering to Open Access mandates. This paper examines how OpenAIRE – Open Access Infrastructure for Research in Europe – can ease monitoring Open Access and reporting processes for funders, and presents some results and opportunities. It also outlines how it relies on cleaned and curated repository content, a vital cog in the ever turning wheel of the global scholarly landscape, and the benefits it brings.

Metabolic profiling and classification of propolis samples from Southern Brazil: an NMR-based platform coupled with machine learning

The chemical composition of propolis is affected by environmental factors and harvest season, making it difficult to standardize its extracts for medicinal usage. By detecting a typical chemical profile associated with propolis from a specific production region or season, certain types of propolis may be used to obtain a specific pharmacological activity. In this study, propolis from three agroecological regions (plain, plateau, and highlands) from southern Brazil, collected over the four seasons of 2010, were investigated through a novel NMR-based metabolomics data analysis workflow. Chemometrics and machine learning algorithms (PLS-DA and RF), including methods to estimate variable importance in classification, were used in this study. The machine learning and feature selection methods permitted construction of models for propolis sample classification with high accuracy (>75%, reaching 90% in the best case), better discriminating samples regarding their collection seasons comparatively to the harvest regions. PLS-DA and RF allowed the identification of biomarkers for sample discrimination, expanding the set of discriminating features and adding relevant information for the identification of the class-determining metabolites. The NMR-based metabolomics analytical platform, coupled to bioinformatic tools, allowed characterization and classification of Brazilian propolis samples regarding the metabolite signature of important compounds, i.e., chemical fingerprint, harvest seasons, and production regions.

On the temperature dependence of the absorption cross section for black holes in string theory

We study the low frequency absorption cross section of spherically symmetric nonextremal d-dimensional black holes. In the presence of α′ corrections, this quantity must have an explicit dependence on the Hawking temperature of the form 1/TH. This property of the low frequency absorption cross section is shared by the D1-D5 system from type IIB superstring theory already at the classical level, without α′ corrections. We apply our formula to the simplest example, the classical d-dimensional Reissner-Nordstr¨om solution, checking that the obtained formula for the cross section has a smooth extremal limit. We also apply it for a d-dimensional Tangherlini-like solution with α′3 corrections.

Modelos de simulação de processos por junção de componentes

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Análise do ciclo de vida usando Lourenço modelo: caso da cidade de Damasco (1960-2015)

Dissertação de mestrado Internacional em Ambiente Construído Sustentável

Development of an intelligent earthwork optimization system

Tese de Doutoramento em Engenharia Civil.

Interação cultural e interpretatio na epigrafia votiva: o caso da fachada ocidental do conuentus Bracaraugustanus

Dissertação de mestrado em Arqueologia

Influence of different fibers on the change of pore pressure of self-consolidating concrete exposed to fire

The focus of this paper is given to investigate the effect of different fibers on the pore pressure of fiber reinforced self-consolidating concrete under fire. The investigation on the pore pressure-time and temperature relationships at different depths of fiber reinforced self-consolidating concrete beams was carried out. The results indicated that micro PP fiber is more effective in mitigating the pore pressure than macro PP fiber and steel fiber. The composed use of steel fiber, micro PP fiber and macro PP fiber showed clear positive hybrid effect on the pore pressure reduction near the beam bottom subjected to fire. Compared to the effect of macro PP fiber with high dosages, the effect of micro PP fiber with low fiber contents on the pore pressure reduction is much stronger. The significant factor for reduction of pore pressure depends mainly on the number of PP fibers and not only on the fiber content. An empirical formula was proposed to predict the relative maximum pore pressure of fiber reinforced self-consolidating concrete exposed to fire by considering the moisture content, compressive strength and various fibers. The suggested model corresponds well with the experimental results of other research and tends to prove that the micro PP fiber can be the vital component for reduction in pore pressure, temperature as well spalling of concrete.

Relative information entropy in cosmology: The problem of information entanglement

The necessary information to distinguish a local inhomogeneous mass density field from its spatial average on a compact domain of the universe can be measured by relative information entropy. The Kullback-Leibler (KL) formula arises very naturally in this context, however, it provides a very complicated way to compute the mutual information between spatially separated but causally connected regions of the universe in a realistic, inhomogeneous model. To circumvent this issue, by considering a parametric extension of the KL measure, we develop a simple model to describe the mutual information which is entangled via the gravitational field equations. We show that the Tsallis relative entropy can be a good approximation in the case of small inhomogeneities, and for measuring the independent relative information inside the domain, we propose the R\'enyi relative entropy formula.

Adaptação ao divórcio e relações coparentais: contributos da teoria da vinculação

Neste artigo propõe-se uma contribuição da teoria da vinculação na compreensão dos processos de adaptação dos adultos ao seu divórcio e como a desvinculação ao ex-cônjuge interfere na coparentalidade pós-divórcio. Este artigo formula duas hipóteses teóricas. A primeira hipótese afirma que o divórcio, enquanto processo relacional, deve ser lido como um momento de perda que germina reacções psicológicas similares às experienciadas pelos viúvos, tal como descreve Bowlby no modelo de perda da figura de vinculação, estando dependente dos estilos de vinculação dos adultos. A segunda hipótese sustenta que a coparentalidade pós-divórcio é predita pelos estilos de vinculação e pela qualidade da reorganização da vinculação dos pais. Finalmente, uma integração teórica é apresentada, operacionalizada numa proposta de investigação futura neste domínio.

Predicting triage waiting time in maternity emergency care by means of data mining

Healthcare organizations often benefit from information technologies as well as embedded decision support systems, which improve the quality of services and help preventing complications and adverse events. In Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto (CHP), an intelligent pre-triage system is implemented, aiming to prioritize patients in need of gynaecology and obstetrics care in two classes: urgent and consultation. The system is designed to evade emergency problems such as incorrect triage outcomes and extensive triage waiting times. The current study intends to improve the triage system, and therefore, optimize the patient workflow through the emergency room, by predicting the triage waiting time comprised between the patient triage and their medical admission. For this purpose, data mining (DM) techniques are induced in selected information provided by the information technologies implemented in CMIN. The DM models achieved accuracy values of approximately 94% with a five range target distribution, which not only allow obtaining confident prediction models, but also identify the variables that stand as direct inducers to the triage waiting times.

Localização de conteúdos: experiência de estágio na Bloomidea

Relatório de estágio de mestrado em Tradução e Comunicação Multilingue

Trends in Productive Years of Life Lost to Premature Mortality Due to Coronary Heart Disease

OBJECTIVE: To estimate the number of productive years of life lost to premature death due to coronary heart disease in Brazil and to report their trends over a 20-year period. METHODS: The Brazilian Ministry of Health raw database on death due to coronary heart disease from 1979-1998 was used. The productive years of life lost to premature death were estimated using 20 and 59 years of age as the cut points for the productive years, replacing the potential years of 1 and 70 of the original formula. A descriptive analysis was provided with adjustments, means, proportions, ratios, percentages of increase or reduction, and mobile means. RESULTS: A 35.8% increase in death for males and 51.3% for females was observed, +43.3% being the relative difference for females. The annual means of the productive years of life prematurely lost were analyzed in 140,865 males and 58,559 females, with the differential ratio between the age groups ranging from 2.3 to 2.5. The annual means were less favorable for males. Within each group (intragroup), the ratios decreased with the increase in age, and the age means at the time of death remained constant. The raw tendencies decreased in the 20- to 29-year age group and increased in the 40- to 59-year age group for females and the 40- to 49-year age group for males. When adjusted, the raw tendencies decreased. CONCLUSION: The 43.3% increase in the number of female deaths as compared with that of males and the ascending tendency in the productive years of life lost in the 40- to 59-year age group point to the influence of unfavorable changes in female lifestyles and suggest a deficiency in programs for prevention and control of risk factors and in their treatment in both sexes.

Detection of incipient left ventricular hypertrophy in mild to moderate arterial hypertension with normal electrocardiogram and echocardiogram: a new use for signal-averaged electrocardiography

OBJECTIVE: To assess signal-averaged electrocardiogram (SAECG) for diagnosing incipient left ventricular hypertrophy (LVH). METHODS: A study with 115 individuals was carried out. The individuals were divided as follows: GI - 38 healthy individuals; GII - 47 individuals with mild to moderate hypertension and normal findings on echocardiogram and ECG; and GIII - 30 individuals with hypertension and documented LVH. The magnitude vector of the SAECG was analyzed with the high-pass cutoff frequency of 40 Hz through the bidirectional four-pole Butterworth high-pass digital filter. The mean quadratic root of the total QRS voltage (RMST) and the two-dimensional integral of the QRS area of the spectro-temporal map were analyzed between 0 and 30 Hz for the frequency domain (Int FD), and between 40 and 250 Hz for the time domain (Int TD). The electrocardiographic criterion for LVH was based on the Cornell Product. Left ventricular mass was calculated with the Devereux formula. RESULTS: All parameters analyzed increased from GI to GIII, except for Int FD (GII vs GIII) and RMST log (GII vs GIII). Int TD showed greater accuracy for detecting LVH with an appropriate cutoff > 8 (sensitivity of 55%, specificity of 81%). Positive values (> 8) were found in 56.5% of the G II patients and in 18.4% of the GI patients (p< 0.0005). CONCLUSION: SAECG can be used in the early diagnosis of LVH in hypertensive patients with normal ECG and echocardiogram.