Total energy value and percentage contribuition of calories from macronutrients in the diet of elderly individuals from Fortaleza, state of Ceara, Brazil

Objective: Describe the total energy value and percentage contribution of calories from macronutrients in the diet of elderly individuals living in Fortaleza/CE. Methods: This is a population-based, cross-sectional domiciliary study, which included 458 elderly individuals (66.6% women). The variables evaluated were total energy value (TEV) and the percentage contribution of calories from proteins, carbohydrates, and lipids. The results are shown as mean, standard deviation, and percentile distribution (P5, P10, P25, P50, P75, P90, P95). The Student's t-test and analysis of variance (one-way ANOVA) with LSD post-hoc tests were used to determine the statistical significance of means between two groups and among three or more groups, respectively. Results: When comparing the mean values of TEV among categories of socioeconomic and demographic variables, statistically significant differences were found between women for ethnicity, years of schooling and socioeconomic level. Among men, differences were found for years of schooling and socioeconomic level. The mean energy value of men's diet was significantly higher than that of women (1475.8 kcal and 1236.4 kcal, respectively). The mean values of calorie percentage contribution from proteins, carbohydrates, and lipids were similar between men and women. Conclusion: The elderly of this study showed significant differences in mean values of TEV between sexes and between the categories years of schooling and socioeconomic level. Women also showed significant differences between the ethnic categories. The mean relative contribution of macronutrients in TEV was similar between genders and age groups.

Longitudinal and transverse spin asymmetries for inclusive jet production at mid-rapidity in polarized p+p collisions at root s=200 GeV

We report STAR measurements of the longitudinal double-spin asymmetry A(LL), the transverse singlespin asymmetry A(N), and the transverse double-spin asymmetries A(Sigma) and A(TT) for inclusive jet production at mid-rapidity in polarized p + p collisions at a center-of-mass energy of root s = 200 GeV. The data represent integrated luminosities of 7.6 pb(-1) with longitudinal polarization and 1.8 pb(-1) with transverse polarization, with 50%-55% beam polarization, and were recorded in 2005 and 2006. No evidence is found for the existence of statistically significant jet A(N), A(Sigma), or A(TT) at mid-rapidity. Recent model calculations indicate the A(N) results may provide new limits on the gluon Sivers distribution in the proton. The asymmetry A(LL) significantly improves the knowledge of gluon polarization in the nucleon.

Contagem de células somáticas e produção leiteira em cabras Saanen estressadas via aplicação de ACTH

Avaliou-se neste estudo o efeito do estresse, via administração de ACTH (hormônio adrenocorticotrófico), sobre a quantidade e qualidade do leite produzido e a indicação de estresse pela alteração no nível de cortisol. Assim, 12 cabras lactantes foram distribuídas em dois grupos: seis animais receberam aplicação de 0,06 UI de ACTH/kg de PV (desafiadas) e seis receberam solução placebo (controle), todas via intravenosa. O desafio ocorreu ao longo da lactação, com aplicação do protocolo aos 30, 60, 120 e 180 dias do início da lactação, avaliando-se em cada data os níveis de cortisol 30 minutos antes, no ato da aplicação, 60, 120 e 300 minutos depois. A produção leiteira foi mensurada diariamente durante 270 dias e, a cada 20 dias, o leite foi colhido para contagem de células somáticas (CCS) pelo método direto. Os teores de cortisol mensurados em -30 e 0 minuto antes da aplicação de ACTH foram baixos e semelhantes entre os grupos. Entretanto, a partir de 60 minutos, constatou-se efeito da aplicação de ACTH, com teor de cortisol de 61,37±6,65 versus 5,47±1,21 ng/mL e de 51,17±10,21 versus 4,67±1,21 ng/mL aos 120 minutos. Aos 300 minutos, o cortisol retornou ao nível basal. Não houve diferença na produção de leite, no teor de proteína e de gordura do leite, cujos valores nos grupos ACTH e Placebo foram 1,37±0,59 e 1,38±0,63 kg de leite, respectivamente. A contagem de células somáticas não foi influenciada pelo estresse e apresentou valores situados na faixa indicada para animais sadios. Constatou-se estresse pontual em decorrência da aplicação de ACTH, porém sem alterações de natureza quantitativa e qualitativa do leite produzido, e isso indica que atividades de manejo que estressam os animais pontualmente não trazem prejuízos ao sistema produtivo.

Entwicklung des Laserionenquellen und -fallenprojekts LIST für Ultraspurendetektion und Grundlagenforschung

Die vorliegende Dissertation beschreibt die Realisation des neuartigen Konzepts der Laserionenquellenfalle für die on-line Produktion exotischer Nuklide und für den Nachweis von Spurenisotopen in Proben mit starken Isobarenkontaminationen. Ziel dieser Entwicklung ist eine wesentliche Steigerung der Isobarenselektivität einer herkömmlichen Laserionenquelle, sowie die Erzeugung zeitlich kontrollierter Ionenpulse mit hervorragender Strahlqualität. Es konnte die prizipielle Funktionsfähigkeit des Systems in Kombination mit einem Titan:Saphir-Lasersystem für die Elemente Gallium, Calcium und Nickel demonstriert und Ionenpulse mit einer minimalen Pulslänge von 1 µs erzeugt werden. Nach ersten Abschätzungen ist die Effizienz des Systems etwa einen Faktor 2500 geringer als die einer herkömmlichen Laserionenquelle. Der zweite Teil der Arbeit beschäftigt sich mit dem spurenanalytischen Nachweis von 99-Tc, mit dem Ziel, das Verhalten von 99-Tc in der Umgebung eines möglichen Endlagers für nukleare Abfälle studieren zu können. Hier wurden erste Studien mit dem kurzlebigen Isomer 99m-Tc zur Wechselwirkung von Tc(VII) mit Huminsäure und Kaolinit durchgeführt. Für den Einsatz der Laserionenquellenfalle in der Ultraspurenanalyse, wurde ein effizientes Anregungsschema für Titan:Saphir-Laser entwickelt und 99-Tc in einer herkömmlichen Ionenquelle nachgewiesen. Der letzte Teil der Arbeit beschreibt Machbarkeitsstudien zum Aufbau einer Laserionenquelle auf Basis eines Titan:Sahphir-Lasersystems, die parallel zu oben genannten Entwicklungen am Oak Ridge National Laboratory durchgeführt wurden. Im Rahmen dieser Messungen wurden Anregungsschemata für die resonante Anregung und Ionisation von Kupfer und Palladium für Titan:Saphir-Laser getestet. Dabei konnte zum ersten Mal frequenzvervierfachtes Laserlicht in einer Laserionenquelle eingesetzt werden. Am ORNL wurden Studien zur Zeitstruktur von Laserionenpulsen, sowie Emittanzmessungen von Laser- und Oberflächenionenstrahlen durchgeführt werden.

The role of choline positron emission tomography/computed tomography in the management of patients with prostate-specific antigen progression after radical treatment of prostate cancer

Choline positron emission tomography (PET)/computed tomography (CT) is a currently used diagnostic tool in restaging prostate cancer (PCa) patients with increasing prostate-specific antigen (PSA) after either radical prostatectomy (RP) or external-beam radiation therapy (EBRT). However, no final recommendations have been made on the use of this modality for patient management.

Wild immunology: converging on the real world

Recently, the Centre for Immunity, Infection and Evolution sponsored a one-day symposium entitled "Wild Immunology." The CIIE is a new Wellcome Trust-funded initiative with the remit to connect evolutionary biology and ecology with research in immunology and infectious diseases in order to gain an interdisciplinary perspective on challenges to global health. The central question of the symposium was, "Why should we try to understand infection and immunity in wild systems?" Specifically, how does the immune response operate in the wild and how do multiple coinfections and commensalism affect immune responses and host health in these wild systems? The symposium brought together a broad program of speakers, ranging from laboratory immunologists to infectious disease ecologists, working on wild birds, unmanaged animals, wild and laboratory rodents, and on questions ranging from the dynamics of coinfection to how commensal bacteria affect the development of the immune system. The meeting on wild immunology, organized by Amy Pedersen, Simon Babayan, and Rick Maizels, was held at the University of Edinburgh on 30 June 2011.

Investigation of Rudimentary Meta-Cognition in Lion-Tailed Macaques and Tufted Capuchins

Meta-cognition, or "thinking about thinking," has been studied extensively in humans, but very little is known about the process in animals. Although great apes and rhesus macaques (Macaca mulatta) have demonstrated multiple apparently meta-cognitive abilities, other species have either been largely ignored or failed to convincingly display meta-cognitive traits. Recent work by Marsh, however, raised the possibility that some species may possess rudimentary or partial forms of meta-cognition. This thesis sought to further investigate this possibility by running multiple comparative experiments. The goal of the first study was to examine whether lion-tailed macaques, a species that may have a rudimentary form of meta-cognition, are able to use an uncertainty response adaptively, and if so, whether they could use the response flexibly when the stimuli for which the subjects should be uncertain changed. The macaques' acquisition of the initial discrimination task is ongoing, and as such there were not yet data to support a conclusion either way. In the second study, tufted capuchins were required to locate a food reward hidden beneath inverted cups that sat on a Plexiglas tray. In some conditions the capuchins were shown where the food was hidden, in others they could infer its location, and in yet others they were not given information about the location of the food. On all trials, however, capuchins could optionally seek additional information by looking up through the Plexiglas into the cups. In general, capuchins did this less often when they were shown the food reward, but not when they could infer the reward's location. These data suggest capuchins only meta-cognitively control their information seeking in some conditions, and thus, add support to the potential for a rudimentary form of meta-cognition. In convergence with other studies, these results may represent early models for rudimentary meta-cognition, although viable alternative explanations still remain.

Evaluation of flood risk in response to climate variability

Standard procedures for forecasting flood risk (Bulletin 17B) assume annual maximum flood (AMF) series are stationary, meaning the distribution of flood flows is not significantly affected by climatic trends/cycles, or anthropogenic activities within the watershed. Historical flood events are therefore considered representative of future flood occurrences, and the risk associated with a given flood magnitude is modeled as constant over time. However, in light of increasing evidence to the contrary, this assumption should be reconsidered, especially as the existence of nonstationarity in AMF series can have significant impacts on planning and management of water resources and relevant infrastructure. Research presented in this thesis quantifies the degree of nonstationarity evident in AMF series for unimpaired watersheds throughout the contiguous U.S., identifies meteorological, climatic, and anthropogenic causes of this nonstationarity, and proposes an extension of the Bulletin 17B methodology which yields forecasts of flood risk that reflect climatic influences on flood magnitude. To appropriately forecast flood risk, it is necessary to consider the driving causes of nonstationarity in AMF series. Herein, large-scale climate patterns—including El Niño-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), North Atlantic Oscillation (NAO), and Atlantic Multidecadal Oscillation (AMO)—are identified as influencing factors on flood magnitude at numerous stations across the U.S. Strong relationships between flood magnitude and associated precipitation series were also observed for the majority of sites analyzed in the Upper Midwest and Northeastern regions of the U.S. Although relationships between flood magnitude and associated temperature series are not apparent, results do indicate that temperature is highly correlated with the timing of flood peaks. Despite consideration of watersheds classified as unimpaired, analyses also suggest that identified change-points in AMF series are due to dam construction, and other types of regulation and diversion. Although not explored herein, trends in AMF series are also likely to be partially explained by changes in land use and land cover over time. Results obtained herein suggest that improved forecasts of flood risk may be obtained using a simple modification of the Bulletin 17B framework, wherein the mean and standard deviation of the log-transformed flows are modeled as functions of climate indices associated with oceanic-atmospheric patterns (e.g. AMO, ENSO, NAO, and PDO) with lead times between 3 and 9 months. Herein, one-year ahead forecasts of the mean and standard deviation, and subsequently flood risk, are obtained by applying site specific multivariate regression models, which reflect the phase and intensity of a given climate pattern, as well as possible impacts of coupling of the climate cycles. These forecasts of flood risk are compared with forecasts derived using the existing Bulletin 17B model; large differences in the one-year ahead forecasts are observed in some locations. The increased knowledge of the inherent structure of AMF series and an improved understanding of physical and/or climatic causes of nonstationarity gained from this research should serve as insight for the formulation of a physical-casual based statistical model, incorporating both climatic variations and human impacts, for flood risk over longer planning horizons (e.g., 10-, 50, 100-years) necessary for water resources design, planning, and management.

MODULARITY BASED FUZZY COMMUNITY DETECTION IN SOCIAL NETWORKS

Fuzzy community detection is to identify fuzzy communities in a network, which are groups of vertices in the network such that the membership of a vertex in one community is in [0,1] and that the sum of memberships of vertices in all communities equals to 1. Fuzzy communities are pervasive in social networks, but only a few works have been done for fuzzy community detection. Recently, a one-step forward extension of Newman’s Modularity, the most popular quality function for disjoint community detection, results into the Generalized Modularity (GM) that demonstrates good performance in finding well-known fuzzy communities. Thus, GMis chosen as the quality function in our research. We first propose a generalized fuzzy t-norm modularity to investigate the effect of different fuzzy intersection operators on fuzzy community detection, since the introduction of a fuzzy intersection operation is made feasible by GM. The experimental results show that the Yager operator with a proper parameter value performs better than the product operator in revealing community structure. Then, we focus on how to find optimal fuzzy communities in a network by directly maximizing GM, which we call it Fuzzy Modularity Maximization (FMM) problem. The effort on FMM problem results into the major contribution of this thesis, an efficient and effective GM-based fuzzy community detection method that could automatically discover a fuzzy partition of a network when it is appropriate, which is much better than fuzzy partitions found by existing fuzzy community detection methods, and a crisp partition of a network when appropriate, which is competitive with partitions resulted from the best disjoint community detections up to now. We address FMM problem by iteratively solving a sub-problem called One-Step Modularity Maximization (OSMM). We present two approaches for solving this iterative procedure: a tree-based global optimizer called Find Best Leaf Node (FBLN) and a heuristic-based local optimizer. The OSMM problem is based on a simplified quadratic knapsack problem that can be solved in linear time; thus, a solution of OSMM can be found in linear time. Since the OSMM algorithm is called within FBLN recursively and the structure of the search tree is non-deterministic, we can see that the FMM/FBLN algorithm runs in a time complexity of at least O (n2). So, we also propose several highly efficient and very effective heuristic algorithms namely FMM/H algorithms. We compared our proposed FMM/H algorithms with two state-of-the-art community detection methods, modified MULTICUT Spectral Fuzzy c-Means (MSFCM) and Genetic Algorithm with a Local Search strategy (GALS), on 10 real-world data sets. The experimental results suggest that the H2 variant of FMM/H is the best performing version. The H2 algorithm is very competitive with GALS in producing maximum modularity partitions and performs much better than MSFCM. On all the 10 data sets, H2 is also 2-3 orders of magnitude faster than GALS. Furthermore, by adopting a simply modified version of the H2 algorithm as a mutation operator, we designed a genetic algorithm for fuzzy community detection, namely GAFCD, where elite selection and early termination are applied. The crossover operator is designed to make GAFCD converge fast and to enhance GAFCD’s ability of jumping out of local minimums. Experimental results on all the data sets show that GAFCD uncovers better community structure than GALS.

A Study of the Physical Properties of Low Tin Solders

In 1947, out of the 100,000 long tons of tin con­sumed in the United States, 25,000 tons went into solder. Tin plate took 39,000 tons while babbit, bronze and coll­apsible tubes accounted for approximately 17,000 tons. Solder ranked second to tin plate and required more than the next three major uses combined.