2,096 research outputs found
Sixty-One Objections to the Baptist Church
https://digitalcommons.acu.edu/crs_books/1270/thumbnail.jp
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 in the kinetic term of the minimal
formulation to take its relativistic value, . 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
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