SR-IOV in High Performance Computing

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Exploring Supermarket Loyalty Card Analysis to Identify Who Buys Fairtrade

The aim of this paper is to show how supermarket loyalty card data from a panel of over 1.7 million shoppers can be analysed to provide behavioural segmentation insights to profile the fairtrade shopper in order to enhance making targeted marketing decisions. The paper demonstrates the huge marketing potential that loyalty card based shopper segmentation can bring to objectively describe who buys fairtrade products, compared to profiling shoppers with claimed/reported behaviour dataset. A pairedsamples t-test is used to test the degree of appeal of fairtrade tea, coffee, chocolate, drinking chocolates, banana and sugar categories in Tesco to life-stage and lifestyle shopper segments in terms of their retail sales values over 104 weeks. The results show that analysing loyalty cards based on actual behaviour provides a more detailed picture of how specific fairtrade food product categories appeal to the various life-stage and lifestyle shopper segments

A survey of the marine environment offshore from Palos Verdes Point, Los Angeles County, California

The results of a three year, quarterly survey of the subtidal marine environment offshore from Palos Verdes Point, Los Angeles County, California are recorded. Both a 100 m (328 ft) transect consisting of 21 stations at 5 m (16 ft) intervals established in 14 to 17 m (45 to 55 ft) and a series of five arc stations located at 6, 12, 18, 24 and 30 m (20, 40, 60, 80 and 100 ft) were surveyed. Significant results included the documentation of long term cycles in the large brown kelps, Egregia laevigata and Eisenia arborea. A herbivore cycle which followed this algal cycle was also tentatively identified. Document has 89 pages

Facilitating Coherence across Qualitative Research Papers

Bringing the various elements of qualitative research papers into coherent textual patterns presents challenges for authors and editors alike. Although individual sections such as presentation of the problem, review of the literature, methodology, results, and discussion may each be constructed in a sound logical and structural sense, the alignment of these parts into a coherent mosaic may be lacking in many qualitative research manuscripts. In this paper, four editors of The Qualitative Report present how they collaborate with authors to facilitate improvement papers\u27 coherence in such areas as co-relating title, abstract, and the paper proper; coordinating the method presented with method employed; and calibrating the exuberance of implications with the essence of the findings. The editors share exercises, templates, and exemplary articles they use to help mentor authors to create coherent texts

Molecular layer doping: non-destructive doping of silicon and germanium

This work describes a non-destructive method to introduce impurity atoms into silicon (Si) and germanium (Ge) using Molecular Layer Doping (MLD). Molecules containing dopant atoms (arsenic) were designed, synthesized and chemically bound in self-limiting monolayers to the semiconductor surface. Subsequent annealing enabled diffusion of the dopant atom into the substrate. Material characterization included assessment of surface analysis (AFM) and impurity and carrier concentrations (ECV). Record carrier concentration levels of arsenic (As) in Si (~5Ã 10^20 atoms/cm3) by diffusion doping have been achieved, and to the best of our knowledge this work is the first demonstration of doping Ge by MLD. Furthermore due to the ever increasing surface to bulk ratio of future devices (FinFets, MugFETs, nanowire-FETS) surface packing spacing requirements of MLD dopant molecules is becoming more relaxed. It is estimated that a molecular spacing of 2 nm and 3 nm is required to achieve doping concentration of 10^20 atoms/cm3 in a 5 nm wide fin and 5 nm diameter nanowire respectively. From a molecular perspective this is readily achievable

Mentoring Qualitative Research Authors Globally: The Qualitative Report Experience

Authoring quality qualitative inquiry is a challenge for most researchers. A lack of local mentors can make writing even more difficult. To meet this need, The Qualitative Report ( TQR ) has helped authors from around the world develop their papers into published articles. TQR editorial team members will discuss the history of the journal, their philosophy of author development; manuscript development strategies; solutions for managing differences; challenges working worldwide; authors’ feedback; and the collective global futures of TQR and qualitative researche

MERRA/AS: The MERRA Analytic Services Project Interim Report

MERRA AS is a cyberinfrastructure resource that will combine iRODS-based Climate Data Server (CDS) capabilities with Coudera MapReduce to serve MERRA analytic products, store the MERRA reanalysis data collection in an HDFS to enable parallel, high-performance, storage-side data reductions, manage storage-side driver, mapper, reducer code sets and realized objects for users, and provide a library of commonly used spatiotemporal operations that can be composed to enable higher-order analyses

How behavioral constraints may determine optimal sensory representations

The sensory-triggered activity of a neuron is typically characterized in terms of a tuning curve, which describes the neuron's average response as a function of a parameter that characterizes a physical stimulus. What determines the shapes of tuning curves in a neuronal population? Previous theoretical studies and related experiments suggest that many response characteristics of sensory neurons are optimal for encoding stimulus-related information. This notion, however, does not explain the two general types of tuning profiles that are commonly observed: unimodal and monotonic. Here, I quantify the efficacy of a set of tuning curves according to the possible downstream motor responses that can be constructed from them. Curves that are optimal in this sense may have monotonic or non-monotonic profiles, where the proportion of monotonic curves and the optimal tuning curve width depend on the general properties of the target downstream functions. This dependence explains intriguing features of visual cells that are sensitive to binocular disparity and of neurons tuned to echo delay in bats. The numerical results suggest that optimal sensory tuning curves are shaped not only by stimulus statistics and signal-to-noise properties, but also according to their impact on downstream neural circuits and, ultimately, on behavior.Comment: 24 pages, 9 figures (main text + supporting information

The Highest Resolution Mass Map of Galaxy Cluster Substructure To Date Without Assuming Light Traces Mass: LensPerfect Analysis of Abell 1689

We present a strong lensing mass model of Abell 1689 which resolves substructures ~25 kpc across (including about ten individual galaxy subhalos) within the central ~400 kpc diameter. We achieve this resolution by perfectly reproducing the observed (strongly lensed) input positions of 168 multiple images of 55 knots residing within 135 images of 42 galaxies. Our model makes no assumptions about light tracing mass, yet we reproduce the brightest visible structures with some slight deviations. A1689 remains one of the strongest known lenses on the sky, with an Einstein radius of RE = 47.0" +/- 1.2" (143 +3/-4 kpc) for a lensed source at zs = 2. We find a single NFW or Sersic prole yields a good fit simultaneously (with only slight tension) to both our strong lensing (SL) mass model and published weak lensing (WL) measurements at larger radius (out to the virial radius). According to this NFW fit, A1689 has a mass of Mvir = 2.0 +0.5/-0.3 x 10^15 Msun / h70 (M200 = 1.8 +0.4/-0.3 x 10^15 Msun / h70) within the virial radius rvir = 3.0 +/- 0.2 Mpc / h70 (r200 = 2.4 +0.1/-0.2 Mpc / h70), and a central concentration cvir = 11.5 +1.5/-1.4 (c200 = 9.2 +/- 1.2). Our SL model prefers slightly higher concentrations than previous SL models, bringing our SL+WL constraints in line with other recent derivations. Our results support those of previous studies which find A1689 has either an anomalously large concentration or significant extra mass along the line of sight (perhaps in part due to triaxiality). If clusters are generally found to have higher concentrations than realized in simulations, this could indicate they formed earlier, perhaps as a result of early dark energy.Comment: 27 pages, 17 figures, submitted to ApJ. See http://www.its.caltech.edu/~coe/LPA1689/ for complete set of color multiple images (observed and delensed) and more. Comments welcome at http://scirate.com/who.php?id=1005.xxxx&what=comments (insert arXiv number at xxxx; free & easy registration