Planeamento de curto prazo de sistemas de energia solar usando técnicas de otimização robusta

Dissertação para obtenção do grau de Mestre em Engenharia Electrotécnica

On the hardware and software architecture of the robuter mobile platform: a hands-on approach

The Robuter is a robotic mobile platform that is located in the “Hands-On” Laboratory of the IPP-Hurray! Research Group, at the School of Engineering of the Polytechnic Institute of Porto. Recently, the Robuter was subject of an upgrading process addressing two essential areas: the Hardware Architecture and the Software Architecture. This upgrade in process was triggered due to technical problems on-board of the robot and also to the fact that the hardware/software architecture has become obsolete. This Technical Report overviews the most important aspects of the new Hardware and Software Architectures of the Robuter. This document also presents a first approach on the first steps towards the use of the Robuter platform, and provides some hints on future work that may be carried out using this mobile platform.

Assessment of ultrafine particles in Portuguese preschools: levels and exposure doses

The aim of this work was to assess ultrafine particles (UFP) number concentrations in different microenvironments of Portuguese preschools and to estimate the respective exposure doses of UFP for 3–5-year-old children (in comparison with adults). UFP were sampled both indoors and outdoors in two urban (US1, US2) and one rural (RS1) preschool located in north of Portugal for 31 days. Total levels of indoor UFP were significantly higher at the urban preschools (mean of 1.82x104 and 1.32x104 particles/cm3 at US1 an US2, respectively) than at the rural one (1.15x104 particles/cm3). Canteens were the indoor microenvironment with the highest UFP (mean of 5.17x104, 3.28x104, and 4.09x104 particles/cm3 at US1, US2, and RS1), whereas the lowest concentrations were observed in classrooms (9.31x103, 11.3x103, and 7.14x103 particles/cm3 at US1, US2, and RS1). Mean indoor/outdoor ratios (I/O) of UFP at three preschools were lower than 1 (0.54–0.93), indicating that outdoor emissions significantly contributed to UFP indoors. Significant correlations were obtained between temperature, wind speed, relative humidity, solar radiation, and ambient UFP number concentrations. The estimated exposure doses were higher in children attending urban preschools; 3–5-year-old children were exposed to 4–6 times higher UFP doses than adults with similar daily schedules.

Otimização estocástica para a exploração de centrais de concentração solar considerando incerteza e risco

Dissertação para obtenção do grau de Mestre em Engenharia Eletrotécnica

Unmixing hyperspectral data: independent and dependent component analysis

The development of high spatial resolution airborne and spaceborne sensors has improved the capability of ground-based data collection in the fields of agriculture, geography, geology, mineral identification, detection [2, 3], and classification [4–8]. The signal read by the sensor from a given spatial element of resolution and at a given spectral band is a mixing of components originated by the constituent substances, termed endmembers, located at that element of resolution. This chapter addresses hyperspectral unmixing, which is the decomposition of the pixel spectra into a collection of constituent spectra, or spectral signatures, and their corresponding fractional abundances indicating the proportion of each endmember present in the pixel [9, 10]. Depending on the mixing scales at each pixel, the observed mixture is either linear or nonlinear [11, 12]. The linear mixing model holds when the mixing scale is macroscopic [13]. The nonlinear model holds when the mixing scale is microscopic (i.e., intimate mixtures) [14, 15]. The linear model assumes negligible interaction among distinct endmembers [16, 17]. The nonlinear model assumes that incident solar radiation is scattered by the scene through multiple bounces involving several endmembers [18]. Under the linear mixing model and assuming that the number of endmembers and their spectral signatures are known, hyperspectral unmixing is a linear problem, which can be addressed, for example, under the maximum likelihood setup [19], the constrained least-squares approach [20], the spectral signature matching [21], the spectral angle mapper [22], and the subspace projection methods [20, 23, 24]. Orthogonal subspace projection [23] reduces the data dimensionality, suppresses undesired spectral signatures, and detects the presence of a spectral signature of interest. The basic concept is to project each pixel onto a subspace that is orthogonal to the undesired signatures. As shown in Settle [19], the orthogonal subspace projection technique is equivalent to the maximum likelihood estimator. This projection technique was extended by three unconstrained least-squares approaches [24] (signature space orthogonal projection, oblique subspace projection, target signature space orthogonal projection). Other works using maximum a posteriori probability (MAP) framework [25] and projection pursuit [26, 27] have also been applied to hyperspectral data. In most cases the number of endmembers and their signatures are not known. Independent component analysis (ICA) is an unsupervised source separation process that has been applied with success to blind source separation, to feature extraction, and to unsupervised recognition [28, 29]. ICA consists in finding a linear decomposition of observed data yielding statistically independent components. Given that hyperspectral data are, in given circumstances, linear mixtures, ICA comes to mind as a possible tool to unmix this class of data. In fact, the application of ICA to hyperspectral data has been proposed in reference 30, where endmember signatures are treated as sources and the mixing matrix is composed by the abundance fractions, and in references 9, 25, and 31–38, where sources are the abundance fractions of each endmember. In the first approach, we face two problems: (1) The number of samples are limited to the number of channels and (2) the process of pixel selection, playing the role of mixed sources, is not straightforward. In the second approach, ICA is based on the assumption of mutually independent sources, which is not the case of hyperspectral data, since the sum of the abundance fractions is constant, implying dependence among abundances. This dependence compromises ICA applicability to hyperspectral images. In addition, hyperspectral data are immersed in noise, which degrades the ICA performance. IFA [39] was introduced as a method for recovering independent hidden sources from their observed noisy mixtures. IFA implements two steps. First, source densities and noise covariance are estimated from the observed data by maximum likelihood. Second, sources are reconstructed by an optimal nonlinear estimator. Although IFA is a well-suited technique to unmix independent sources under noisy observations, the dependence among abundance fractions in hyperspectral imagery compromises, as in the ICA case, the IFA performance. Considering the linear mixing model, hyperspectral observations are in a simplex whose vertices correspond to the endmembers. Several approaches [40–43] have exploited this geometric feature of hyperspectral mixtures [42]. Minimum volume transform (MVT) algorithm [43] determines the simplex of minimum volume containing the data. The MVT-type approaches are complex from the computational point of view. Usually, these algorithms first find the convex hull defined by the observed data and then fit a minimum volume simplex to it. Aiming at a lower computational complexity, some algorithms such as the vertex component analysis (VCA) [44], the pixel purity index (PPI) [42], and the N-FINDR [45] still find the minimum volume simplex containing the data cloud, but they assume the presence in the data of at least one pure pixel of each endmember. This is a strong requisite that may not hold in some data sets. In any case, these algorithms find the set of most pure pixels in the data. Hyperspectral sensors collects spatial images over many narrow contiguous bands, yielding large amounts of data. For this reason, very often, the processing of hyperspectral data, included unmixing, is preceded by a dimensionality reduction step to reduce computational complexity and to improve the signal-to-noise ratio (SNR). Principal component analysis (PCA) [46], maximum noise fraction (MNF) [47], and singular value decomposition (SVD) [48] are three well-known projection techniques widely used in remote sensing in general and in unmixing in particular. The newly introduced method [49] exploits the structure of hyperspectral mixtures, namely the fact that spectral vectors are nonnegative. The computational complexity associated with these techniques is an obstacle to real-time implementations. To overcome this problem, band selection [50] and non-statistical [51] algorithms have been introduced. This chapter addresses hyperspectral data source dependence and its impact on ICA and IFA performances. The study consider simulated and real data and is based on mutual information minimization. Hyperspectral observations are described by a generative model. This model takes into account the degradation mechanisms normally found in hyperspectral applications—namely, signature variability [52–54], abundance constraints, topography modulation, and system noise. The computation of mutual information is based on fitting mixtures of Gaussians (MOG) to data. The MOG parameters (number of components, means, covariances, and weights) are inferred using the minimum description length (MDL) based algorithm [55]. We study the behavior of the mutual information as a function of the unmixing matrix. The conclusion is that the unmixing matrix minimizing the mutual information might be very far from the true one. Nevertheless, some abundance fractions might be well separated, mainly in the presence of strong signature variability, a large number of endmembers, and high SNR. We end this chapter by sketching a new methodology to blindly unmix hyperspectral data, where abundance fractions are modeled as a mixture of Dirichlet sources. This model enforces positivity and constant sum sources (full additivity) constraints. The mixing matrix is inferred by an expectation-maximization (EM)-type algorithm. This approach is in the vein of references 39 and 56, replacing independent sources represented by MOG with mixture of Dirichlet sources. Compared with the geometric-based approaches, the advantage of this model is that there is no need to have pure pixels in the observations. The chapter is organized as follows. Section 6.2 presents a spectral radiance model and formulates the spectral unmixing as a linear problem accounting for abundance constraints, signature variability, topography modulation, and system noise. Section 6.3 presents a brief resume of ICA and IFA algorithms. Section 6.4 illustrates the performance of IFA and of some well-known ICA algorithms with experimental data. Section 6.5 studies the ICA and IFA limitations in unmixing hyperspectral data. Section 6.6 presents results of ICA based on real data. Section 6.7 describes the new blind unmixing scheme and some illustrative examples. Section 6.8 concludes with some remarks.

Multifunctional converter to interface renewable energy sources and electric vehicles with the power grid in smart grids context

This paper proposes a multifunctional converter to interface renewable energy sources (e.g., solar photovoltaic panels) and electric vehicles (EVs) with the power grid in smart grids context. This multifunctional converter allows deliver energy from the solar photovoltaic panels to an EV or to the power grid, and exchange energy in bidirectional mode between the EV and the power grid. Using this multifunctional converter are not required multiple conversion stages, as occurs with the traditional solutions, where are necessary two power converters to integrate the solar photovoltaic system in the power grid and also two power converters to integrate an off-board EV battery charger in the power grid (dc-dc and dc-ac power converters in both cases). Taking into account that the energy provided (or delivered) from the power grid in each moment is function of the EV operation mode and also of the energy produced from the solar photovoltaic system, it is possible to define operation strategies and control algorithms in order to increase the energy efficiency of the global system and to improve the power quality of the electrical system. The proposed multifunctional converter allows the operation in four distinct cases: (a) Transfer of energy from the solar photovoltaic system to the power grid; (b) Transfer of energy from the solar photovoltaic system and from the EV to the power grid; (c) Transfer of energy from the solar photovoltaic system to the EV or to the power grid; (d) Transfer of energy between the EV and the power grid. Along the paper are described the system architecture and the control algorithms, and are also presented some computational simulation results for the four aforementioned cases. It is also presented a comparative analysis between the traditional and the proposed solution in terms of operation efficiency and estimated cost of implementation.

Desenvolvimento de um concentrador solar com sistema de seguimento

Dissertação de mestrado em Engenharia Mecânica

Topography of aligned PNIPAm nanogels determines cell motility and cytoskeleton architecture

Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Engenharia Clínica)

Desenvolvimento de microcápsulas ativadas por radiação solar para aplicação em painéis cerâmicos exteriores

Dissertação de mestrado integrado em Engenharia de Materiais

Estufa de aproveitamento solar térmico para reabilitação de edifícios

Dissertação de mestrado em sustentabilidade do ambiente construido

Radiação solar em superfieies horizontal e vertical com exposição norte

In the field of agrometeorological studies we are in need of the estimation of the solar radiation frequently. At the present study the authors have worked out some dat:t regarding the hours of sunshine during the months of August, September, October, November, December and January of 1957, 1958 and 1959. Based on such hours of sunshine in the Agrometeorological Station, located at the Escola Superior de Agricultura "Luiz de Queiroz" - U.S. P., in Piracicaba, the authors calculated the solar radiation received on a plane and horizontal surface, from the method proposed by Glover and Mc Culloch. With those results the authors estimated the percentual part of radiation that would be received on vertical wall facing north.

Morphometric differences in two calanoid sibling species, Boeckella gracilipes and B. titicacae (Crustacea, Copepoda)

Calanoid copepods are abundant in South American inland waters and include widespread species, such as Boeckella gracilipes (Daday, 1902), which occurs from the Ecuador to Tierra del Fuego Island. This species occurs under various environmental conditions, and is found in oligotrophic lakes in Patagonia (39-54°S) and in shallow mountain lakes north of 39°S. The aim of the present study is to conduct a morphometric comparison of male specimens of B. titicacae collected in Titicaca and B. gracilipes collected in Riñihue lakes, with a third population of B. gracilipes collected in shallow ponds in Salar de Surire. Titicaca and Riñihue lakes are stable environments, whereas Salar de Surire is an extreme environment. These ponds present an extreme environment due to high exposure to solar radiation and high salinity levels. The results of the study revealed differences among the three populations. These results agree well with systematic descriptions in the literature on differences between the populations of Titicaca and Riñihue lakes, and population of Salar de Surire differs slightly from the other two populations. It is probable that the differences between the population of Salar de Surire and the other two populations result from the extreme environment in Salar de Surire. High exposure to solar radiation, high salinity and extreme variations in temperature enhance genetic variations that are consequently expressed in morphology.

Environmental and biological controls on the geochemistry (δ18O, δ13C, Mg/Ca, and Sr/Ca) of living ostracods from Lake Geneva

ABSTRACT : Ostracods are benthic microcrustaceans enclosed in low-Mg calcite bivalves. Stable isotope compositions, Mg/Ca, and Sr/Ca ratios of ostracod fossil valves have proven useful to reconstruct past environmental conditions. Yet, several discrepancies persist and the influence of many factors remains unclear. It is the aim of this study to improve the use of ostracod valve geochemistry as palaeoenvironmental proxies by examining the extent of isotope fractionation and trace element partitioning during valve calcification. To achieve this, the environmental parameters (pH, temperature) and chemical composition of water (C-and O-isotope composition and calcium, magnesium, and strontium content) were measured at sites where living ostracods were sampled. The sampling was on a monthly basis over the course of one year at five different water depths (2, 5, 13, 33, and 70 m) in Lake Geneva, Switzerland. The one-year sampling enabled collection of environmental data for bottom and interstitial pore water. In littoral to sublittoral zones, C-isotope composition of DIC and the Mg/Ca and Sr/Ca ratios of water are found to vary concomitantly with water temperature. This is due to the precipitation of calcite, which is induced by higher photosynthetic activity as temperature and/or solar radiation intensify in summer. In deeper zones, environmental parameters remain largely constant throughout the year. Variations of pH, DIC concentrations and C-isotope compositions in interstitial water result from aerobic as well as anaerobic respiration, calcite dissolution and methanogenesis. Bathymetric distribution, life cycles, and habitats were derived for 15 ostracod species and are predominantly related to water temperature and sediment texture. O-isotope compositions of ostracod valves in Lake Geneva reflect that of water and temperature. However, offsets of up to 3 permil are observed in comparison with proposed inorganic calcite precipitation equilibrium composition. Deprotonation of HCO3- and/or salt effect at crystallisation sites may explain the disequilibrium observed for O-isotopic compositions. C-isotope compositions of ostracod valves are not as well constrained and appear to be controlled by a complex interaction between habitat preferences and seasonal as well as spatial variations of the DIC isotope composition. For infaunal forms, C-isotope compositions reflect mainly the variation of DIC isotope composition in interstitial pore waters. For epifaunal forms, C-isotope compositions reflect the seasonal variation of DIC isotope compositions. C-isotope compositions of ostracod valves is at equilibrium with DIC except for a small number of species (L. inopinata, L. sanctipatricii and possibly C. ophtalmica, and I. beauchampi). Trace element uptake differs considerably from species to species. For most epifaunal forms, trace element content follows the seasonal cycle, recording temperature increases and/or variations of Mg/Ca and Sr/Ca ratios of water. In contrast, infaunal forms are predominantly related to sediment pore water chemistry. RÉSUMÉ EN FRANÇAIS : Les ostracodes sont de petits crustacés benthiques qui possèdent une coquille faite de calcite à faible teneur en magnésium. La composition isotopique et les rapports Mg/Ca et Sr/Ca d'ostracodes fossiles ont été utilisés maintes fois avec succès pour effectuer des reconstructions paléoenvironnementales. Néanmoins, certains désaccords persistent sur l'interprétation de ces données. De plus, l'influence de certains facteurs pouvant biaiser le signal reste encore inconnue. Ainsi, le but de cette étude est de rendre plus performant l'emploi de la composition géochimique des ostracodes comme indicateur paléoenvironnemental. Pour réaliser cela, cinq sites situés dans le Léman à 2, 5, 13, 33 et 70 m de profondeur ont été choisis pour effectuer les échantillonnages. Chaque site a été visité une fois par mois durant une année. Les différents paramètres environnementaux (pH, température) ainsi que la composition géochimique de l'eau (composition isotopique de l'oxygène et du carbone ainsi que teneur en calcium, magnésium et strontium) ont été déterminés pour chaque campagne. Des ostracodes vivants ont été récoltés au cinq sites en même temps que les échantillons d'eau. Ce travail de terrain a permis de caractériser la géochimie de l'eau se trouvant juste au-dessus des sédiments ainsi que celle de l'eau se trouvant dans les interstices du sédiment. Dans les zones littorales à sublittorales, la composition isotopique du carbone inorganique dissout (CID) ainsi que les rapports Mg/Ca et Sr/Ca de l'eau varient linéairement avec la température. Ceci peut être expliqué par la précipitation de calcite qui est contrôlée par l'activité photosynthétique, variant elle même linéairement avec la température. Dans les zones plus profondes, les paramètres environnementaux restent relativement constants tout au long de l'année. Les variations du pH, de la concentration et de la composition isotopique du CID dans les sédiments résultent de la libération de carbone engendrée par la dégradation de la matière organique avec présence d'oxygène ou via réduction de nitrates et de sulfates, par la dissolution de carbonates, ainsi que par la méthanogenèse. La distribution bathymétrique, le cycle de vie ainsi que l'habitat de 15 espèces ont été déterminés. Ceux-ci sont principalement reliés à la température de l'eau et à la texture des sédiments. La composition isotopique de l'oxygène des valves d'ostracodes reflète celle de l'eau et la température qui régnait lors de la calcification. Néanmoins, des écarts pouvant aller jusqu'à 3 0/00 par rapport à l'équilibre théorique ont été obtenus. La déprotonation de HCO3 ou un 'effet de sel' pourrait être à l'origine du déséquilibre observé. La composition isotopique du carbone des valves d'ostracodes n'est pas aussi bien cernée. Celle-ci semble être principalement contrôlée par une interaction complexe entre l'habitat des ostracodes et les variations saisonnières et spatiales de la composition isotopique du CID. Pour les espèces endofaunes, la composition isotopique du carbone reflète principalement la variation de la composition isotopique du CID à l'intérieur des sédiments. Pour les formes épifaunes, c'est la variation saisonnière de la composition du CID qui contrôle celle de la coquille des ostracodes. En général, la composition isotopique du carbone des valves d'ostracodes est en équilibre avec celle de CID, hormis pour quelques rares espèces (L. inopinata, L. sanctipatricii et peut-être C. ophtalmica et I. beauchampi). L'incorporation des éléments traces diffère passablement d'une espèce à l'autre. Pour la plupart des espèces épifaunes, la teneur en éléments traces des coquilles reflète les variations saisonnières. Ces espèces semblent enregistrer les variations soit de la température soit des rapports Mg/Ca et Sr/Ca de l'eau. La teneur en élément traces des formes infaunales, au contraire, est principalement reliée à la chimie de l'eau interstitielle. RÉSUMÉ GRAND-PUBLIC : La connaissance de l'évolution du climat dans le futur est primordiale pour notre société, car elle permet de développer différentes stratégies pour faire face aux problèmes engendrés pas le changement climatique : stratégies environnementale, humanitaire, ou encore économique. Cette problématique est actuellement, à juste titre, sujet d'une vive préoccupation. La géologie peut-elle contribuer à l'effort communautaire entrepris? Naturellement, ce sont les climatologues qui sont sur le devant de la scène. Il n'empêche que ces derniers, pour pouvoir prédire l'avenir, doivent s'appuyer sur le passé. La géologie est alors d'un grand intérêt car c'est effectivement la seule science qui permette d'estimer les variations climatiques à grande échelle sur de longues périodes. Ainsi, voulant moi-même contribuer aux recherches menées dans ce domaine, je me suis tourné à la fin de mes études vers la paléoclimatologie, science qui a pour but de reconstruire le climat des temps anciens. Nous nous sommes rendu compte que l'évolution climatique de la région où nous habitons n'avait pas encore fait le sujet d'études approfondies. Il est pourtant important de connaître la variation locale des changements climatiques pour obtenir des modèles climatiques fiables. En conséquence, un vaste projet a vu le jour : reconstruire, à l'aide des sédiments du lac Léman, les variations paléoclimatiques et paléo-environnementales depuis le retrait du Glacier de Rhône, il y a environ 15'000 ans, jusqu'à nos jours. Pour ce genre de travail, la géochimie, qui est une forme de chimie, utilisée en science de la terre regroupant la chimie classique et la chimie isotopique, est une alliée particulièrement efficace. Elle permet en effet, via différentes mesures faites sur des archives géologiques (par exemple des fossiles ou des sédiments) d'obtenir des informations, souvent quantitatives, sur les conditions (le climat, la flore ou encore la bio productivité, etc...) qui régnaient il y a fort longtemps. Les coquilles d'ostracodes, qui sont de petits animaux vivant au fond des lacs, sont une des archives les plus prometteuses. Ces animaux sont des petits crustacés s'entourant d'une coquille calcaire qu'ils sécrètent eux-mêmes. A la mort de l'animal, la coquille est intégrée dans les sédiments et reste intacte à travers les âges. Des études ont montré qu'en analysant la géochimie de ces coquilles fossiles, il est possible de reconstruire les conditions environnementales qui régnaient à l'époque de vie de ces fossiles. Cette démarche nécessite qu'une condition bien précise soit remplie: la composition géochimique de la coquille doit enregistrer de manière fidèle la chimie de l'eau et/ou la température de l'eau présentes au moment de la sécrétion de la coquille. Le but spécifique de notre recherche a précisément été d'étudier la façon dont la chimie de l'eau ainsi que sa température sont enregistrées dans la coquillé des ostracodes. Une fois les relations entre ces divers paramètres dans l'étant actuel du système établies, il sera alors possible de les utiliser pour interpréter des données issues de coquilles fossiles. Pour ce faire, nous avons mesuré la température de l'eau de manière continue et récolté mensuellement des échantillons d'eau et des ostracodes vivants pendant une année. Cinq sites situés à 2, 5, 13, 33 et 70 mètres de profondeur ont été choisis pour effectuer ces échantillonnages dans le Léman. Le travail de terrain nous a amené à étudier la biologie de 15 espèces. Nous avons pu établir la profondeur à laquelle vivent ces animaux, leur période de développement ainsi que leur habitat respectifs. Ces résultats ont permis de mieux cerner la relation qu'il existe entre la chimie de l'eau, sa température et la composition géochimique des coquilles d'ostracodes. Nous avons ainsi pu confirmer que les coquilles d'ostracodes enregistrent de manière fidèle la composition chimique et isotopique de l'eau. De même, nous avons pu établir de manière plus précise l'effet de la température sur la géochimie des coquilles. Néanmoins, les relations trouvées entre ces trois éléments sont plus complexes pour certaines espèces, cette complexité étant souvent liée à un caractère spécifique de leur écologie. Nous avons mis en lumière certains effets qui biaisent les résultats et défini précisément les conditions dans lesquelles on peut s'attendre à avoir des difficultés dans leur interprétation. Maintenant que nous avons établi les relations entre le climat actuel et la composition géochimique des coquilles d'ostracodes actuels, nous pouvons, sur la base de ce modèle, reconstruire le climat depuis le retrait du Glacier du Rhône jusqu'à nos jours à l'aide d'ostracodes fossiles. Mais cela est une autre histoire et fera, je l'espère, le sujet de nos futures recherches.

The shared allelic architecture of adiponectin levels and coronary artery disease.

OBJECTIVE: A large body of epidemiologic data strongly suggests an association between excess adiposity and coronary artery disease (CAD). Low adiponectin levels, a hormone secreted only from adipocytes, have been associated with an increased risk of CAD in observational studies. However, these associations cannot clarify whether this relationship is causal or due to a shared set of causal factors or even confounding. Genome-wide association studies have identified common variants that influence adiponectin levels, providing valuable tools to examine the genetic relationship between adiponectin and CAD. METHODS: Using 145 genome wide significant SNPs for adiponectin from the ADIPOGen consortium (n = 49,891), we tested whether adiponectin-decreasing alleles influenced risk of CAD in the CARDIoGRAM consortium (n = 85,274). RESULTS: In single-SNP analysis, 5 variants among 145 SNPs were associated with increased risk of CAD after correcting for multiple testing (P < 4.4 × 10(-4)). Using a multi-SNP genotypic risk score to test whether adiponectin levels and CAD have a shared genetic etiology, we found that adiponectin-decreasing alleles increased risk of CAD (P = 5.4 × 10(-7)). CONCLUSION: These findings demonstrate that adiponectin levels and CAD have a shared allelic architecture and provide rationale to undertake a Mendelian randomization studies to understand if this relationship is causal.

Early and late skin reactions to radiotherapy for breast cancer and their correlation with radiation-induced DNA damage in lymphocytes

INTRODUCTION Radiotherapy outcomes might be further improved by a greater understanding of the individual variations in normal tissue reactions that determine tolerance. Most published studies on radiation toxicity have been performed retrospectively. Our prospective study was launched in 1996 to measure the in vitro radiosensitivity of peripheral blood lymphocytes before treatment with radical radiotherapy in patients with breast cancer, and to assess the early and the late radiation skin side effects in the same group of patients. We prospectively recruited consecutive breast cancer patients receiving radiation therapy after breast surgery. To evaluate whether early and late side effects of radiotherapy can be predicted by the assay, a study was conducted of the association between the results of in vitro radiosensitivity tests and acute and late adverse radiation effects. METHODS Intrinsic molecular radiosensitivity was measured by using an initial radiation-induced DNA damage assay on lymphocytes obtained from breast cancer patients before radiotherapy. Acute reactions were assessed in 108 of these patients on the last treatment day. Late morbidity was assessed after 7 years of follow-up in some of these patients. The Radiation Therapy Oncology Group (RTOG) morbidity score system was used for both assessments. RESULTS Radiosensitivity values obtained using the in vitro test showed no relation with the acute or late adverse skin reactions observed. There was no evidence of a relation between acute and late normal tissue reactions assessed in the same patients. A positive relation was found between the treatment volume and both early and late side effects. CONCLUSION After radiation treatment, a number of cells containing major changes can have a long survival and disappear very slowly, becoming a chronic focus of immunological system stimulation. This stimulation can produce, in a stochastic manner, late radiation-related adverse effects of varying severity. Further research is warranted to identify the major determinants of normal tissue radiation response to make it possible to individualize treatments and improve the outcome of radiotherapy in cancer patients.