Context. Studying the coma environment of comet 67P/Churyumov-Gerasimenko (67P) is one of the primary scientific goals of the VIRTIS experiment on the ESA Rosetta mission. Aims. The distribution and variability of water vapour and carbon dioxide in the comet's coma are needed to estimate their production rate, abundances in the nucleus, and the spatial distribution of the active regions. Methods. Infrared emission lines from vibrational bands of water and carbon dioxide at 2.67 and 4.27 mu m, respectively, were observed by the VIRTIS-M imaging channel and mapped from close to the nucleus up to similar to 10 km altitude with a resolution of similar to 40 m/px. A dataset consisting of 74 observations in the 1 5 mu m spectral range acquired from 8 to 14 April 2015 when 67P was at a heliocentric distance of 1.9 AU is analysed in this work. A statistical correlation between the gas distribution and the surface's active regions was performed. Results. The maximum H2O emission is observed within 3 km from the nucleus and is mainly concentrated above two active regions, Aten-Babi and Seth-Hapi, while the CO2 distribution appears more uniform with significant emissions coming from both the "head" and southern latitude regions. In the equatorial region, the column densities of both species decrease with altitude, although CO2 decreases more rapidly than H2O. The calculated CO2/H2O column density ratios above Aten-Babi and Seth-Hapi are 2.4 +/- 0.6% and 3.0 +/- 0.7%, respectively. A value equal to 3.9 +/- 1.0% is observed at equatorial latitudes in the region encompassing Imothep. Conclusions. VIRTIS-M has mapped the distribution of water vapour and carbon dioxide around the nucleus of 67P with unprecedented spatial resolution. The different water and carbon dioxide outgassing above the surface, seen in the VIRTIS-M data, might be indicative of a different thermal history of the northern and southern hemispheres of 67P.

No description available.

The study of brain temperature is important for a number of clinical conditions such as stroke, traumatic brain injury, schizophrenia and birth asphyxia (for neonates). A direct method to estimate brain temperature non-invasively will allow assessment of brain thermoregulation and its variation in clinical conditions. Magnetic resonance imaging is a powerful technique widely used for diagnosis of a range of neurological conditions. All magnetic resonance procedures involve manipulation of the hydrogen nuclei in the water molecules of the human body. The resonance frequency of the water molecules is temperature dependent, thus MR thermometry is a powerful tool for non-invasive temperature measurement. Using internal reference MR spectroscopic imaging (MRSI), absolute brain temperature maps can be estimated. However a number of temperature independent factors influence MRSI data acquisition, thus a thorough validation is necessary and is the focus of this PhD study. In this PhD study using phantom (test object) studies it was shown that optimization of the MRSI pulse sequence is necessary to reduce systematic error in temperature maps and extensive in-vitro validation of MRSI temperature mapping was performed. A custom made temperature-controlled phantom was designed for this purpose and is presented in this thesis. MRSI data acquired from healthy (young and elderly) volunteers was employed to assess regional brain temperature variations and repeatability. Finally, the feasibility of employing fast echo planar spectroscopic imaging for volumetric MRSI temperature mapping will be presented in this thesis.

Forests provide a number of ecosystem services which sustain and enrich the wildlife, human societies, and the environment. However, many disturbances threaten forest ecosystems, making it necessary to monitor their health for optimal management and conservation. Although there are many indicators of forest health, changes in biogeochemical cycling, loss of species diversity, and invasive plants are particularly useful due to their vulnerability to the effects of climate change and intensive agricultural land use. Thus, this work evaluates the use of imaging spectroscopy to monitor forest nutrient status, species diversity, and plant invasions in the Mid-Atlantic region. The research is divided into four separate studies, each of which evaluated a unique application for imaging spectroscopy data at a different scale within the forest. The first two studies examined loblolly pine nutrient status at the leaf and canopy scales, respectively. The first study determined that loblolly pine foliar macronutrient concentrations can be successfully modeled across the Southeastern US (R2=0.39-0.74). Following on these results, the second study focused on the relationship between physical characteristics, reflectance, and nutrients. Reflectance values and W scattering coefficients produced successful nitrogen models across loblolly pine plots at the canopy scale. Regression models showed similar explanatory power for nitrogen, although W scattering coefficients were significantly correlated with nitrogen at multiple wavelengths and reflectance variables were not. However, the direction of some of the correlations with W and the unusually high directional area scattering factor values indicate a need for further experimentation. The third study found that several imaging spectroscopy algorithms were moderately successful in identifying wavyleaf basketgrass invasions in mixed deciduous forests (overall accuracy=0.35-0.78; kappa=0.41-0.53). Lastly, the fourth study used a novel imaging spectroscopy/lidar fusion to identify canopy gaps and measure species diversity of understory vegetation. The lidar algorithm identified 29 of 34 canopy gaps, and regression models explained 49 percent of the variance in gap species diversity. In conclusion, imaging spectroscopy can be used to evaluate ecosystem health through forest nutrient status, nitrogen models, species diversity estimates, and identification of invasive plant species. / Ph. D.

Neuroinflammation is a major driver of secondary brain cell death after ischaemic stroke, seizure activity and traumatic brain injury. In a model of excitotoxic neuroinflammation, striatal injection of a toxic dose of AMPA causes cell death in the striatum after 24 hours. Co-injection of AMPA with the pro-inflammatory cytokine interleukin-1β (IL-1β) leads to additional cortical cell death. Injected alone, IL-1β leads to little or no cell death. It is hypothesised that IL-1β may exacerbate cell death by interfering with blood flow coupling. In the first study, two-dimensional optical imaging spectroscopy was used to measure early changes in the haemodynamic response in the anaesthetised rat barrel cortex before and for 6 hours after injection of vehicle, AMPA, IL-1β, or AMPA+IL-1β. After injection of IL-1β, with or without AMPA, the oxygenated blood flow response to mechanical whisker stimulation approximately halved over the course of 6h. In the second study, to determine whether the IL-1β-dependent changes in blood flow response are reflected by altered cellular activity, local field potentials, multi-unit activity and local tissue oxygenation responses to whisker stimulation were recorded simultaneously from the active barrel before and up to 6h after injection. A similar reduction in the size of the oxygenation response was seen again in the IL-1β- and AMPA+IL-1β-treated groups. Importantly, the level of gamma frequency oscillations at stimulus onset decreased within the first hours after injection of AMPA+IL-1β or IL-1β, suggesting a disruption of the fast-spiking interneuron network in the barrel cortex. These findings, along with histological observations of IL-1β-dependent markers of neuroinflammation, suggest that IL-1β may exacerbate AMPA-induced excitotoxicity by potentiating seizure activity and decoupling the neurovascular response in the cortex.

We report the results of a pilot program to use the Magellan/M2FS spectrograph to survey the galactic populations and internal kinematics of galaxy clusters. For this initial study, we present spectroscopic measurements for 223 quiescent galaxies observed along the line of sight of the galaxy cluster Abell 267 (z similar to 0.23). We develop a Bayesian method for modeling the integrated light from each galaxy as a simple stellar population, with free parameters that specify the redshift (v(los)/c) and characteristic age, metallicity ([Fe/H]), alpha-abundance ([alpha/Fe]), and internal velocity dispersion (sigma(int)) for individual galaxies. Parameter estimates derived from our 1.5 hr observation of A267 have median random errors of sigma(vlos) = 20 km s(-1), sigma(Age) = 1.2 Gyr, sigma([Fe/H]) = 0.11 dex, sigma([alpha/Fe]) = 0.07 dex, and sigma(sigma int) = 20 km s(-1). In a companion paper, we use these results to model the structure and internal kinematics of A267.

Magnetic resonance imaging (MRI) and magnetic resonance spectroscopic imaging (MRSI) offer unique, noninvasive methods of measuring, respectively, in vivo quantitative neuroanatomy and neurochemistry. The main purpose of the present study was to identify and compare the neuroanatomical and neurochemical abnormalities that are associated with prenatal exposure to alcohol in both fetal alcohol syndrome (FAS)-diagnosed children and those diagnosed with fetal alcohol effects (FAE). MR data of three age-, gender- and race-balanced groups of children, FAS-diagnosed, FAE-diagnosed and non-exposed controls, were compared. Effects of prenatal alcohol exposure, regardless of diagnosis, were found in the caudate nucleus. Specifically, a significantly smaller caudate nucleus was found for the FAS and FAE participants compared to the controls. In addition, the metabolite ratio of N-acetyl-aspartate to creatine (NAA/Cr), an indicator of neuronal function, in left caudate nucleus of both the FAS and FAE participants was elevated compared to the control group. Analysis of absolute concentrations revealed that the increase in the ratio of NAA/Cr was due to an increase in NAA alone. Although its exact function in the CNS is unknown, NAA is believed to be a neuronal marker due to its exclusive localization to neurons. Some also speculate a role for NAA in myelination. Elevated NAA in the prenatal alcohol-exposed participants could indicate a lack of normal program cell death, dendritic pruning and/or myelination during development. The present study demonstrates that prenatal alcohol-exposed children, with or without facial dysmorphology, have abnormal brain anatomy and chemistry.

The use of satellite and airborne remote sensing data to predict foliar macronutrients and pigments for a boreal mixedwood forest composed of black and white spruce, balsam fir, northern white cedar, white birch, and trembling aspen was investigated. Specifically, imaging spectroscopy (IS) and light detection and ranging (LiDAR) are used to model the foliar N:P ratio, macronutrients (N, P, K, Ca, Mg) and chlorophyll. Measurement of both foliar macronutrients and foliar chlorophyll provide critical information about plant physiological and nutritional status, stress, as well as ecosystem processes such as carbon (C) exchange (photosynthesis and net primary production), decomposition and nutrient cycling. Results show that airborne and spaceborne IS data explained approximately 70% of the variance in the canopy N:P ratio with predictions errors of less than 8% in two consecutive years. LiDAR models explained more than 50% of the variance in the canopy N:P ratio with similar predictions errors. Predictive models using spaceborne Hyperion IS data were developed with adjusted R2 values of 0.73, 0.72, 0.62, 0.25, and 0.67 for N, P, K, Ca and Mg, respectively. The LiDAR model explained 80% of the variance in canopy Ca concentration with an RMSE of less than 10%, suggesting strong correlations between forest height and Ca. Two IS derivative indices emerged as good predictors of chlorophyll across time and space. When the models of these two indices with the same parameters as generated from Hyperion data were applied to other years' data for chlorophyll concentration prediction, they could explain 71, 63 and 6% and 61, 54 and 8 % of the variation in chlorophyll concentration in 2002, 2004 and 2008, respectively with prediction errors ranging from 11.7% to 14.6%. Results demonstrate that the N:P ratio, N, P, K, Mg and chlorophyll can be modeled by spaceborne IS data and Ca can only be predicted by LiDAR data in the canopy of this forest. The ability to model the N:P ratio and macronutrients using spaceborne Hyperion data demonstrates the potential for mapping them at the canopy scale across larger geographic areas and being able to integrate them in future studies of ecosystem processes. / Ph. D.

We present high signal-to-noise ratio, precise Y JH photometry and Y band (0.957-1.120 mu m) spectroscopy of HD 1160 B, a young substellar companion discovered from the Gemini NICI Planet Finding Campaign using the Subaru Coronagraphic Extreme Adaptive Optics instrument and the Gemini Planet Imager. HD 1160 B has typical mid-M dwarf-like infrared colors and a spectral type of M5.5(-0.5)(+1.0), where the blue edge of our Y band spectrum rules out earlier spectral types. Atmospheric modeling suggests HD 1160 B has an effective temperature of 3000-3100 K, a surface gravity of log g - 4-4.5, a radius of. 1.55 +/- 0.10 R-J, and a luminosity of log L/L circle dot - 2.76 +/- 0.05. Neither the primary's Hertzspring-Russell diagram position nor atmospheric modeling of HD 1160 B show evidence for a subsolar metallicity. Interpretation of the HD 1160 B spectroscopy depends on which stellar system components are used to estimate the age. Considering HD 1160 A, B and C jointly, we derive an age of 80-125 Myr, implying that HD 1160 B straddles the hydrogen-burning limit (70-90 M-J) If we consider HD 1160 A alone, younger ages (20-125 Myr) and a brown dwarf-like mass (35-90 M-J) are possible. Interferometric measurements of the primary, a precise Gaia parallax, and moderate-resolution spectroscopy can better constrain the system's age and how HD 1160 B fits within the context of (sub) stellar evolution.

Orientador: Ronei Jesus Poppi / Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Quimica / Made available in DSpace on 2018-08-14T21:54:58Z (GMT). No. of bitstreams: 1 Carneiro_RenatoLajarim_D.pdf: 16062859 bytes, checksum: c72b3cda768bf8c8db297365bc89231c (MD5) Previous issue date: 2010 / Resumo: Foram estudadas metodologias quimiométricas para análises exploratórias e quantitativas de preparações farmacêuticas utilizando a técnica de espectroscopia de imagens na região do infravermelho próximo (NIR) e início do infravermelho médio (MIR). Foram realizadas três aplicações como segue: 1ª Análise exploratória para diagnosticar separações de fases em um medicamento apresentado na forma de pomada. Foram utilizados os métodos de Análise das Componentes Principais (PCA) e Resolução Multivariada de Curvas ¿ Quadrados Mínimos Alternados (MCR-ALS). Foi possível constatar que o solvente do princípio ativo (API) não formava uma fase estável com o veículo utilizado, ocorrendo separação de fases; 2ª Análise exploratória para diagnosticar formação de cristais em um medicamento apresentado na forma de creme (emulsão). Foram utilizados os métodos PCA e MCR-ALS. Foi observada a cristalização do API com o solvente utilizado; 3ª Determinação da distribuição superficial do princípio ativo e excipientes em comprimidos, avaliando a homogeneidade da amostra. Foram utilizados modelos PCA para análise exploratória e modelos Quadrados Mínimos Parciais por Intervalos (iPLS) para quantificação. Os mapas de concentração mostraram que o medicamento em questão era homogêneo com exceção de alguns cristais presentes. De maneira geral, a técnica de espectroscopia de imagens mostrou grande potencial na determinação da homogeneidade de fármacos, gerando resultados que podem ser interpretados visualmente através dos mapas de absorção, escores ou de concentração. / Abstract: Chemometric methods were studied for exploratory and quantitative analysis of pharmaceutical preparations using near and mid infrared (NIR and MIR) imaging spectroscopy. Three applications were accomplished as follows: 1st Exploratory analysis to diagnose phase separation in a ointment formulation. It was used Principal Component Analysis (PCA) and Multivariate Curve Resolution - Alternating Least Squares (MCR-ALS) methods. Phase separation was observed between ointment base (vehicle) and solvent of the active ingredient (API); 2nd Exploratory analysis to diagnose crystallization process in a cream (emulsion). It was used PCA and MCR-ALS methods. Crystallization was observed after stability period due precipitation of a API salt; 3rd Determination of superficial distribution of the API and excipients in tablets in order to evaluate sample homogeneity. PCA models were used for exploratory analysis and Interval Partial Least Squares (iPLS) model was applied for API and excipient quantification. Concentration maps of tablets showed good API and excipient homogeneity, except for a few large crystals. These applications showed that imaging spectroscopy is a powerful tool for homogeneity studies of pharmaceutical preparations. Results of three applications could be visually interpreted through absorption, score and concentration maps. / Doutorado / Quimica Analitica / Doutor em Ciências