Investigation of a Liquefaction Methodology to Enable the Utilization of In-Situ Produced Propellant on the Lunar and Martian Surfaces

To enable NASAs plans to return astronauts to the lunar surface and eventually to Mars, the agency is putting emphasis on reusable cryogenic systems. Such systems will require replenishing of cryogens on-orbit via a cryogenic tanker or refueling depot, and potentially on the lunar or Martian surfaces with the utilization of in-situ resources. Surface replenishing requires the in-situ production of gaseous oxygen (and hydrogen if on the lunar surface), followed by liquefaction and storage. The liquefaction system can be integrated into the propulsion system propellant tanks, or in a separate storage facility and transferred to the propulsion system when needed. In interest of developing a liquefaction and storage system that is efficient, reliable and scalable, a multicenter team of NASA engineers was formed. The team conducted trade studies on various system level concepts including multiple heat exchanger configurations to be integrated with active cooling (cryocoolers). When the trade studies concluded, the team settled on a system level configuration which included a propellant tank outfitted with a tube-on-tank heat exchanger integrated with a cryocooler. The team executed a development plan to include: 1) a brassboard level test series to demonstrate proof of concept, 2) model development to predict system performance, 3) model validation utilizing brassboard test results, 4) the design, development and demonstration of a Mars surface liquefaction and storage system prototype, and 5) eventually conduct an end-to-end demonstration to include in-situ production, liquefaction, and long duration storage of cryogens with zero boil-off. The effort is currently in the brassboard level testing phase which will be discussed here

Defining contextual advantage: exploring the contextual relation between effectuation and entrepreneurial marketing for creating new markets effectually

The paper explores the behaviour of the Entrepreneur and the Effectual use of available resources mainly social capital in new market creation. The study dwells on creating a unique ‘Context’ by leveraging these resources to increase the Entrepreneurial orientation of a firm. The paper further attempts to explore whether the Contextual link between Effectuation and Entrepreneurial Marketing helps develop a ‘Contextual Advantage’, which can be used as a mean of developing a unique business model which differentiates the firm in the market. The paper hence explores contemporary theories of Entrepreneurship and Marketing namely Entrepreneurial Marketing, Effectuation and Contextual Marketing by studying their inter-relation. The nature of these theories is under-explored according to the authors and requires further investigation to evolve the field of Marketing and Entrepreneurship.N/

The explanation of why the level of UMF varies in manuka honey

A few years ago many beekeepers kindly supplied samples of manuka honey, from the spring 2001 season, directly from hives in various specific locations so that a study could be conducted to investigate the possible reasons why there is variation in the level of UMF in manuka honey

A statistical framework for joint eQTL analysis in multiple tissues

Mapping expression Quantitative Trait Loci (eQTLs) represents a powerful and widely-adopted approach to identifying putative regulatory variants and linking them to specific genes. Up to now eQTL studies have been conducted in a relatively narrow range of tissues or cell types. However, understanding the biology of organismal phenotypes will involve understanding regulation in multiple tissues, and ongoing studies are collecting eQTL data in dozens of cell types. Here we present a statistical framework for powerfully detecting eQTLs in multiple tissues or cell types (or, more generally, multiple subgroups). The framework explicitly models the potential for each eQTL to be active in some tissues and inactive in others. By modeling the sharing of active eQTLs among tissues this framework increases power to detect eQTLs that are present in more than one tissue compared with "tissue-by-tissue" analyses that examine each tissue separately. Conversely, by modeling the inactivity of eQTLs in some tissues, the framework allows the proportion of eQTLs shared across different tissues to be formally estimated as parameters of a model, addressing the difficulties of accounting for incomplete power when comparing overlaps of eQTLs identified by tissue-by-tissue analyses. Applying our framework to re-analyze data from transformed B cells, T cells and fibroblasts we find that it substantially increases power compared with tissue-by-tissue analysis, identifying 63% more genes with eQTLs (at FDR=0.05). Further the results suggest that, in contrast to previous analyses of the same data, the majority of eQTLs detectable in these data are shared among all three tissues.Comment: Summitted to PLoS Genetic

A review of Leptospermum scoparium (Myrtaceae) in New Zealand

Information about Leptospermum scoparium (Myrtaceae), the most widespread and important New Zealand indigenous shrub species, is reviewed. L. scoparium is a variable species, requiring more study of the genetically based differences between New Zealand populations and the affinity of these populations to Australian populations and other closely allied Australian species. Improved understanding of the species’ variation will assist both its conservation roles and economic uses, and the need to sustain genetically distinct varieties is emphasised. Ecologically, the species has a dominant role in infertile and poorly drained environments, and a wider occurrence as a seral shrub species in successions to forest where it may be regarded as a woody weed of pasture or a useful species for erosion control, carbon sesquestration, and vegetation restoration. The main economic products derived from the species are ornamental shrubs, essential oils, and honey. The species’ development as an ornamental plant and further definition of the pharmacologically active components are recommended as priority areas for research

A hierarchical Bayesian model for predicting ecological interactions using scaled evolutionary relationships

Identifying undocumented or potential future interactions among species is a challenge facing modern ecologists. Recent link prediction methods rely on trait data, however large species interaction databases are typically sparse and covariates are limited to only a fraction of species. On the other hand, evolutionary relationships, encoded as phylogenetic trees, can act as proxies for underlying traits and historical patterns of parasite sharing among hosts. We show that using a network-based conditional model, phylogenetic information provides strong predictive power in a recently published global database of host-parasite interactions. By scaling the phylogeny using an evolutionary model, our method allows for biological interpretation often missing from latent variable models. To further improve on the phylogeny-only model, we combine a hierarchical Bayesian latent score framework for bipartite graphs that accounts for the number of interactions per species with the host dependence informed by phylogeny. Combining the two information sources yields significant improvement in predictive accuracy over each of the submodels alone. As many interaction networks are constructed from presence-only data, we extend the model by integrating a correction mechanism for missing interactions, which proves valuable in reducing uncertainty in unobserved interactions.Comment: To appear in the Annals of Applied Statistic

The factors responsible for the varying levels of UMF® in mānuka (Leptospermum scoparium) honey

The variability in the level of the non-peroxide antibacterial component (UMF®) of mānuka honey produced in New Zealand was studied. A field analysis confirmed considerable variability existed in the honeys, and a number of hypotheses to explain this variability were proposed and examined. Nectar derived from Leptospermum scoparium (mānuka), was confirmed to be the source of UMF®. The dilution of mānuka honey with nectar derived from other floral sources was found to proportionally reduce the UMF® in monofloral mānuka honey. The utilisation of the thixotropic properties of mānuka honey allowed the degree of dilution in the field samples to be established, and an adjustment of the field results to account for the dilution of UMF® by other honey types revealed all monofloral mānuka honey contains UMF®. However, in the monofloral mānuka honey, significantly different levels of UMF® activity were found to come from reasonably well-defined geographic regions. The cause of the variable levels of UMF® activity in mānuka honey would appear to be the different varieties of L. scoparium being harvested by the honeybees, and the environmental parameters influencing nectar production or another species interacting with L. scoparium do not appear to influence UMF® activity. Three methods were used to establish genetic variability within regions of the North Island of New Zealand that gave rise to the various levels of UMF® activity. Analyses of morphological characteristics, chemotaxonomic essential oil profiles, and population genetics of L. scoparium populations were conducted, and the conclusions that were drawn from each of these were very similar. Two major divisions were identified, each divided into two varieties. The northern division, which contained the core populations from Northland and Waikato, represented the previously described L. scoparium var. incanum and L. scoparium var. linifolium. This division yielded mānuka honey with high UMF® activity. The southern division, which contained the core populations from the Central North Island and East Coast, represented the previously described L. scoparium var. myrtifolium and an unnamed variety. The latter, growing principally on the East Coast, uniquely contains triketones essential oils. The southern division yielded mānuka honey with low UMF® activity. Hybridisation between these varieties will occur, leading to a continuum of UMF® activity in mānuka honey. The data indicated multiple dispersions of L. scoparium to New Zealand from the evolutionary centre of the persistent-capsule Leptospermum group in south-east Australia, and later regional dispersal in New Zealand. From this study two hypotheses were accepted: the variability in the UMF® activity of mānuka honey is due to both the dilution of mānuka honey by other honey types and the variety of L. scoparium harvested

Genotype Imputation with Thousands of Genomes

Genotype imputation is a statistical technique that is often used to increase the power and resolution of genetic association studies. Imputation methods work by using haplotype patterns in a reference panel to predict unobserved genotypes in a study dataset, and a number of approaches have been proposed for choosing subsets of reference haplotypes that will maximize accuracy in a given study population. These panel selection strategies become harder to apply and interpret as sequencing efforts like the 1000 Genomes Project produce larger and more diverse reference sets, which led us to develop an alternative framework. Our approach is built around a new approximation that uses local sequence similarity to choose a custom reference panel for each study haplotype in each region of the genome. This approximation makes it computationally efficient to use all available reference haplotypes, which allows us to bypass the panel selection step and to improve accuracy at low-frequency variants by capturing unexpected allele sharing among populations. Using data from HapMap 3, we show that our framework produces accurate results in a wide range of human populations. We also use data from the Malaria Genetic Epidemiology Network (MalariaGEN) to provide recommendations for imputation-based studies in Africa. We demonstrate that our approximation improves efficiency in large, sequence-based reference panels, and we discuss general computational strategies for modern reference datasets. Genome-wide association studies will soon be able to harness the power of thousands of reference genomes, and our work provides a practical way for investigators to use this rich information. New methodology from this study is implemented in the IMPUTE2 software package