Sixty-One Objections to the Baptist Church

https://digitalcommons.acu.edu/crs_books/1270/thumbnail.jp

Paladin pride

Confessions of an unrepentant Furman cheerleade

Platform, or technology project? A spectrum of six strategic ‘plays’ from UK government IT initiatives and their implications for policy

There is a markedly broad range of definitions and illustrative examples of the role played by governments themselves within the literature on government platforms. In response we conduct an inductive and deductive qualitative review of the literature to clarify this landscape and so to develop a typology of six definitions of government platforms, organised within three genres along a spectrum from fully centralised, through to fully decentralised. For each platform definition we offer illustrative 'mini-cases' drawn from the UK government experience as well as further insights and implications for each genre drawn from the broader information systems literature on platforms. A range of benefits, risks, governance challenges, policy recommendations, and suggestions for further research are then identified and discussed

General Covariance in Quantum Gravity at a Lifshitz Point

In the minimal formulation of gravity with Lifshitz-type anisotropic scaling, the gauge symmetries of the system are foliation-preserving diffeomorphisms of spacetime. Consequently, compared to general relativity, the spectrum contains an extra scalar graviton polarization. Here we investigate the possibility of extending the gauge group by a local U(1) symmetry to "nonrelativistic general covariance." This extended gauge symmetry eliminates the scalar graviton, and forces the coupling constant $\lambda$ in the kinetic term of the minimal formulation to take its relativistic value, $\lambda=1$. The resulting theory exhibits anisotropic scaling at short distances, and reproduces many features of general relativity at long distances.Comment: 41 pages; v2: small clarifications, references adde

The microRNA landscape of the extracellular vesicles generated by Chinese hamster ovary cells under normal and stressed conditions

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Latent protein trees

Unbiased, label-free proteomics is becoming a powerful technique for measuring protein expression in almost any biological sample. The output of these measurements after preprocessing is a collection of features and their associated intensities for each sample. Subsets of features within the data are from the same peptide, subsets of peptides are from the same protein, and subsets of proteins are in the same biological pathways, therefore, there is the potential for very complex and informative correlational structure inherent in these data. Recent attempts to utilize this data often focus on the identification of single features that are associated with a particular phenotype that is relevant to the experiment. However, to date, there have been no published approaches that directly model what we know to be multiple different levels of correlation structure. Here we present a hierarchical Bayesian model which is specifically designed to model such correlation structure in unbiased, label-free proteomics. This model utilizes partial identification information from peptide sequencing and database lookup as well as the observed correlation in the data to appropriately compress features into latent proteins and to estimate their correlation structure. We demonstrate the effectiveness of the model using artificial/benchmark data and in the context of a series of proteomics measurements of blood plasma from a collection of volunteers who were infected with two different strains of viral influenza.Comment: Published in at http://dx.doi.org/10.1214/13-AOAS639 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

BUILDING SITUATIONAL AWARENESS IN THE AGE OF SERVICE ECOSYSTEMS

We discuss the little-explored construct of situational awareness, which will arguably become increasingly important for strategic decision-making in the age of distributed service ecosystems, digital infrastructures, and microservices. Guided by a design science approach, we introduce a mapping artefact with the ability to enhance situational awareness within, and across, horizontal value chains, and evaluate its application in the field amongst both IS practitioners and IS researchers. We make suggestions for further research into both construct and artefact, and provide insights on their use in practice

Advancing Ultrahigh Pressure Liquid Chromatography Through Extensions of Theory and Practice

Hydrodynamic Chromatography (HDC) was used as a purification method for packing materials (particles) in the micron to sub-micron range. Using HDC, the relative standard deviation for the size distribution of a batch of packing material was successfully narrowed from 33% to 16%. Subsequent chromatographic evaluation of this material, using capillary ultrahigh pressure liquid chromatography (UHPLC) showed significant improvement in performance and decrease in flow resistance over the unpurified material. The capillary time-of-flight (CTOF) instrument was envisioned and constructed. This instrument uses the poiseuille flow principle to measure solution viscosity at pressures up to 4000 bar. Another embodiment of this instrument enabled the simultaneous measurement of diffusion coefficient and the solution viscosity up to pressures of 2000 bar. Diffusion coefficient and viscosity data obtained from this instrument allowed for reevaluation of previously collected UHPLC data and provided significant new insight into column performance