Preliminary estimates of environmental exposure for fuel and exhaust products, volume i. part i- methods and preliminary estimates for msfc. part 2- recommended experimental design for msfc

Environmental exposure for fuel and exhaust products with preliminary estimate

Photometry of supernovae in an image series : methods and application to the Supernova Legacy Survey (SNLS)

We present a technique to measure lightcurves of time-variable point sources on a spatially structured background from imaging data. The technique was developed to measure light curves of SNLS supernovae in order to infer their distances. This photometry technique performs simultaneous PSF photometry at the same sky position on an image series. We describe two implementations of the method: one that resamples images before measuring fluxes, and one which does not. In both instances, we sketch the key algorithms involved and present the validation using semi-artificial sources introduced in real images in order to assess the accuracy of the supernova flux measurements relative to that of surrounding stars. We describe the methods required to anchor these PSF fluxes to calibrated aperture catalogs, in order to derive SN magnitudes. We find a marginally significant bias of 2 mmag of the after-resampling method, and no bias at the mmag accuracy for the non-resampling method. Given surrounding star magnitudes, we determine the systematic uncertainty of SN magnitudes to be less than 1.5 mmag, which represents about one third of the current photometric calibration uncertainty affecting SN measurements. The SN photometry delivers several by-products: bright star PSF flux mea- surements which have a repeatability of about 0.6%, as for aperture measurements; we measure relative astrometric positions with a noise floor of 2.4 mas for a single-image bright star measurement; we show that in all bands of the MegaCam instrument, stars exhibit a profile linearly broadening with flux by about 0.5% over the whole brightness range.Comment: Accepted for publication in A&A. 20 page

Helicobacter pylori biomimics for gastric-targeted drug delivery

Drugs that are preferentially absorbed through the stomach or the small intestine have a narrow time window for absorption since passage through this region of the gastrointestinal tract is rapid. A drug delivery system that can adhere to the gastric epithelium will substantially slow down drug transit and help overcome this problem. To achieve this, this study proposes the novel use of a glycan-binding adhesion protein from Helicobacter pylori, BabA, to create targeted drug delivery vectors that can mimic the attachment of this bacterium to the gastric epithelium. In this work, a recombinant form of BabA was expressed in the periplasmic space of Escherichia coli; it was found that after the incorporation of a C-terminal hexa-lysine tag, the expression and purification of this protein was significantly improved to amounts that enabled its subsequent characterisation and application. Recombinant BabA retained the highly selective glycan-binding properties of H. pylori and next, its crystal structure was solved in the absence and presence of Lewisb – a glycan well studied for its role in serving as a receptor for BabA. The structural models revealed that Lewisb binding occurred through a network of hydrogen bonds within a single, shallow binding pocket at the tip of a β-unit in BabA. Binding studies then confirmed that this site was also responsible for the recognition of other glycan receptors. Using this insight, recombinant BabA was conjugated to model drug delivery vectors via a linkage that favoured exposure of its glycan-binding β-unit; the binding properties of BabA successfully translated to these model BabA-vectors. The research presented in this thesis lays a strong foundation for future work to assess the in vitro and in vivo efficacy of biomimetic BabA drug carriers

Multiresolution community detection for megascale networks by information-based replica correlations

We use a Potts model community detection algorithm to accurately and quantitatively evaluate the hierarchical or multiresolution structure of a graph. Our multiresolution algorithm calculates correlations among multiple copies ("replicas") of the same graph over a range of resolutions. Significant multiresolution structures are identified by strongly correlated replicas. The average normalized mutual information, the variation of information, and other measures in principle give a quantitative estimate of the "best" resolutions and indicate the relative strength of the structures in the graph. Because the method is based on information comparisons, it can in principle be used with any community detection model that can examine multiple resolutions. Our approach may be extended to other optimization problems. As a local measure, our Potts model avoids the "resolution limit" that affects other popular models. With this model, our community detection algorithm has an accuracy that ranks among the best of currently available methods. Using it, we can examine graphs over 40 million nodes and more than one billion edges. We further report that the multiresolution variant of our algorithm can solve systems of at least 200000 nodes and 10 million edges on a single processor with exceptionally high accuracy. For typical cases, we find a super-linear scaling, O(L^{1.3}) for community detection and O(L^{1.3} log N) for the multiresolution algorithm where L is the number of edges and N is the number of nodes in the system.Comment: 19 pages, 14 figures, published version with minor change

Adaptation step-by-step : challenges for real-time spatial personalization

In this paper we outline challenges for user modeling and personalization with spatial information. To illustrate those challenges we use a use case with a real-time routing system that implements a mobile museum guide for providing personalized tours tailored to the user position inside the museum and her interests. In this scenario we combine on the one hand (1) interactive discovery of user's interests applied for semantic recommendations of artworks and art-related topics, and on the other hand (2) dynamic step-by-step adaptation of a user's route through a museum based on her current position and changing interests. For this, the existing CHIP mobile museum guide was extended with a routing mechanism based on the SWI-Prolog Space package

Helicobacter pylori biomimics for gastric-targeted drug delivery

Drugs that are preferentially absorbed through the stomach or the small intestine have a narrow time window for absorption since passage through this region of the gastrointestinal tract is rapid. A drug delivery system that can adhere to the gastric epithelium will substantially slow down drug transit and help overcome this problem. To achieve this, this study proposes the novel use of a glycan-binding adhesion protein from Helicobacter pylori, BabA, to create targeted drug delivery vectors that can mimic the attachment of this bacterium to the gastric epithelium. In this work, a recombinant form of BabA was expressed in the periplasmic space of Escherichia coli; it was found that after the incorporation of a C-terminal hexa-lysine tag, the expression and purification of this protein was significantly improved to amounts that enabled its subsequent characterisation and application. Recombinant BabA retained the highly selective glycan-binding properties of H. pylori and next, its crystal structure was solved in the absence and presence of Lewisb – a glycan well studied for its role in serving as a receptor for BabA. The structural models revealed that Lewisb binding occurred through a network of hydrogen bonds within a single, shallow binding pocket at the tip of a β-unit in BabA. Binding studies then confirmed that this site was also responsible for the recognition of other glycan receptors. Using this insight, recombinant BabA was conjugated to model drug delivery vectors via a linkage that favoured exposure of its glycan-binding β-unit; the binding properties of BabA successfully translated to these model BabA-vectors. The research presented in this thesis lays a strong foundation for future work to assess the in vitro and in vivo efficacy of biomimetic BabA drug carriers

Studi Anatomi Lambung Kelelawar Buah (Pteropus Vampyrus) dengan Pewarnaan Histokimia Periodic Acid Shiff (PAS)

Timor Island, East Nusa Tenggara (NTT) has a large enough population of bats. A fruit bat (Pteropus vampyrus) is one of such species. Gastric in mammals consist of three region that is fundus, cardia and pylorus. This study aims to determine whether there are differences in the distribution pattern of constituent cells of gastric in Pteropus vampyrus to other mammals. Pteropus vampyrus is anaesthetized with ketamine 20 mg/kg and xylazine 2 mg/kg intramuscularly. In the anesthetized state, the perfusion of the heart is done by opening the chest cavity. Further observation is to the gastric in macroanatomy and then gastric organs were fixed by 10% formalin and then stain with histochemical staining (PAS). Region of Fundus of the stomach area occupies most of the region compared to the cardia and pylorus. Cardia and pyloric region are dominated by the parietal cells and mucous neck cells on the surface, but the pyloric region has begun to form gastric pits. Fundus region is dominated by the constituent cells such as gastric chief cells and parietal cells. Based on the results of the study, it is concluded that the distribution pattern in Pteropus vampyrus chief cells, parietal and mucous neck cells are different from other mammals

A millimeter-wave inflatable frequency-agile elastomeric antenna

This letter reports a millimeter-wave frequency agile microstrip antenna printed on an ultrasoft elastomeric PDMS substrate. The microstrip patch antenna is supported by a PDMS membrane suspended over an air cavity. The distance H between the patch and the ground plane, and thus the resonant frequency of the antenna, are tuned using pneumatic actuation, taking advantage of the extreme softness of the PDMS membrane. A continuous frequency shift varying from 55.35 to 51 GHz ( ≈8%) has been obtained for a tuning range of H between 200µm and 575µm. In all configurations, the antenna remains matched and its radiation characteristics are very satisfactory

Differing roles of autophagy in HIV-associated neurocognitive impairment and encephalitis with implications for morphine co-exposure

We investigated the role of autophagy in HIV-infected subjects with neurocognitive impairment (NCI) ± HIV encephalitis (HIVE), many of which had a history of polysubstance abuse/dependence, using post-mortem brain tissues to determine whether differences in autophagy related factors may be more associated with NCI or NCI-encephalitis. Using qRT-PCR, we detected significant differences in gene expression levels with SQSTM1, LAMP1 higher in HIV-infected subjects without NCI while ATG5, SQSTM1 were then lower in HIV infection/NCI and ATG7, SQSTM1 being higher in NCI-HIVE. Immunohistochemical labeling of these autophagy associated proteins (also including Beclin 1 and LC3B) in Iba1-positive microglial cells showed generally higher immunoreactivity in the NCI and NCI-HIVE groups with more focal vs. diffuse patterns of expression in the NCI-HIVE group. Furthermore, analysis of microarray data from these same subjects found significantly higher levels of LAMP1 in NCI-HIVE compared to uninfected subjects in the basal ganglia. Finally, we tested the effect of supernatant from HIV-1-infected microglia and HIV-1 Tat protein in combination with morphine on neurons in vitro and found opposing events with both significant inhibition of autophagic flux and reduced dendrite length for morphine and supernatant treatment while Tat and morphine exposure resulted in lower autophagic activity at an earlier time point and higher levels in the later. These results suggest autophagy genes and their corresponding proteins may be differentially regulated at the transcriptional, translational, and post-translational levels in the brain during various stages of the HIV disease and that infected individuals exposed to morphine can experience mixed signaling of autophagic activity which could lead to more severe NCI than those without opioid use