A Conceptual Analysis of Performance Attributes’ Influence on NBA Attendance: Why Do Consumers Choose to Attend Games?

Fans want to capitalize on their choices when deciding whether to attend NBA games. The purpose of this study is to provide a conceptual analysis regarding how overall team performances as well as offensive and defensive factors may relate to consumers choosing to attend NBA games during the 2007-2008 to 2016-2017 sea-sons. Analyzing the results through the lens of the theory of choice, the results revealed significant relationships existed primarily between attendance at NBA games and offensive capabilities of the teams. As a practical matter, consumers choose to attend games that are most likely to be offensively oriented. Subscribe to JAS

Emphysematous Pyelonephritis and Pneumo-Vena Cava

West J Emerg Med. 2010;11(5):518-519

Control of Superselectivity by Crowding in Three-Dimensional Hosts

Motivated by the fine compositional control observed in membraneless droplet organelles in cells, we investigate how a sharp binding-unbinding transition can occur between multivalent client molecules and receptors embedded in a porous three-dimensional structure. In contrast to similar superselective binding previously observed at surfaces, we have identified that a key effect in a three-dimensional environment is that the presence of inert crowding agents can significantly enhance or even introduce superselectivity. In essence, molecular crowding initially suppresses binding via an entropic penalty, but the clients can then more easily form many bonds simultaneously. We demonstrate the robustness of the superselective behavior with respect to client valency, linker length, and binding interactions in Monte Carlo simulations of an archetypal lattice polymer model

The seroepidemiology of a neglected zoonotic and livestock pathogen in free-ranging bovids : Leptospirosis in African buffaloes (syncerus caffer)

Funding: This research was funded by Wellcome Trust, grant number 216634/Z/19/Z to M.H.M and grant number 222941/Z/21/Z to W.G. Sample collection and W.G, T.K., and M.M. were funded by the South African government through the South African Medical Research Council and the National Research Foundation South African Research Chair Initiative [grant #86949]. The APC was funded by the Wellcome Trust. Author Contributions: Conceptualization, M.H.M., W.G. and M.M.; methodology, M.H.M., W.G., A.P. and M.M.; formal analysis, M.H.M. and W.G.; writing—original draft preparation, M.H.M.; writing—review and editing, W.G., A.P., T.J.K. and M.M.; visualization, M.H.M.; supervision, M.M.; project administration, M.H.M. and M.M.; funding acquisition, M.H.M. and M.M. All authors have read and agreed to the published version of the manuscript.Peer reviewedPublisher PD

A new approach to generating research-quality data through citizen science: The USA National Phenology Monitoring System

Phenology is one of the most sensitive biological responses to climate change, and recent changes in phenology have the potential to shake up ecosystems. In some cases, it appears they already are. Thus, for ecological reasons it is critical that we improve our understanding of species’ phenologies and how these phenologies are responding to recent, rapid climate change. Phenological events like flowering and bird migrations are easy to observe, culturally important, and, at a fundamental level, naturally inspire human curiosity— thus providing an excellent opportunity to engage citizen scientists. The USA National Phenology Network has recently initiated a national effort to encourage people at different levels of expertise—from backyard naturalists to professional scientists—to observe phenological events and contribute to a national database that will be used to greatly improve our understanding of spatio-temporal variation in phenology and associated phenological responses to climate change.

Traditional phenological observation protocols identify specific dates at which individual phenological events are observed. The scientific usefulness of long-term phenological observations could be improved with a more carefully structured protocol. At the USA-NPN we have developed a new approach that directs observers to record each day that they observe an individual plant, and to assess and report the state of specific life stages (or phenophases) as occurring or not occurring on that plant for each observation date. Evaluation is phrased in terms of simple, easy-to-understand, questions (e.g. “Do you see open flowers?”), which makes it very appropriate for a citizen science audience. From this method, a rich dataset of phenological metrics can be extracted, including the duration of a phenophase (e.g. open flowers), the beginning and end points of a phenophase (e.g. traditional phenological events such as first flower and last flower), multiple distinct occurrences of phenophases within a single growing season (e.g multiple flowering events, common in drought-prone regions), as well as quantification of sampling frequency and observational uncertainties. These features greatly enhance the utility of the resulting data for statistical analyses addressing questions such as how phenological events vary in time and space, and in response to global change. This new protocol is an important step forward, and its widespread adoption will increase the scientific value of data collected by citizen scientists.
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Isolation of sophorose during sophorolipid production and studies of its stability in aqueous alkali: epimerisation of sophorose to 2-O-β-d-glucopyranosyl-d-mannose

NMR and anion exchange chromatography analysis of the waste streams generated during the commercial production of sophorolipids by the yeast Candida bombicola identified the presence of small but significant quantities (1% w/v) of free sophorose. Sophorose, a valuable disaccharide, was isolated from the aqueous wastes using a simple extraction procedure and was purified by chromatography on a carbon celite column providing easy access to large quantities of the disaccharide. Experiments were undertaken to identify the origin of sophorose and it is likely that acetylated sophorose derivatives were produced by an enzyme catalysed hydrolysis of the glucosyl-lipid bond of sophorolipids; the acetylated sophorose derivatives then undergo hydrolysis to release the parent disaccharide. Treatment of sophorose with aqueous alkali at elevated temperatures (0.1M NaOH at 50 °C) resulted in C2-epimerisation of the terminal reducing sugar and its conversion to the corresponding 2-O-β-d-glucopyranosyl-d-mannose which was isolated and characterised. In aqueous alkaline solution β-(1,2)-linked glycosidic bonds do not undergo either hydrolysis or peeling reactions

The Assembly History of Disk Galaxies: II. Probing the Emerging Tully-Fisher Relation During 1<z<1.7

Through extended integrations using the recently-installed deep depletion CCD on the red arm of the Keck I Low Resolution Imaging Spectrograph, we present new measurements of the resolved spectra of 70 morphologically-selected star-forming galaxies with i_AB<24.1 in the redshift range 1<z<1.7. Using the formalism introduced in Paper I of this series and available HST ACS images, we successfully recover rotation curves using the extended emission line distribution of [O II] 3727 A to 2.2 times the disk scale radius for a sample of 42 galaxies. Combining these measures with stellar masses derived from HST and ground-based near-infrared photometry enables us to construct the stellar mass Tully-Fisher relation in the time interval between the well-constructed relation defined at z~1 in Paper I and the growing body of resolved dynamics probed with integral field unit spectrographs at z>2. Remarkably, we find a well-defined Tully-Fisher relation with up to 60% increase in scatter and stellar mass zero-point shift constraint of 0.02+/-0.02 dex since z~1.7, compared to the local relation. Although our sample is incomplete in terms of either a fixed stellar mass or star formation rate limit, we discuss the implications that typical star-forming disk galaxies evolve to arrive on a well-defined Tully-Fisher relation within a surprisingly short period of cosmic history.Comment: 13 pages, 8 figures, accepted for publication at Ap

Learning Invariant Representations with Missing Data

Spurious correlations allow flexible models to predict well during training but poorly on related test distributions. Recent work has shown that models that satisfy particular independencies involving correlation-inducing \textit{nuisance} variables have guarantees on their test performance. Enforcing such independencies requires nuisances to be observed during training. However, nuisances, such as demographics or image background labels, are often missing. Enforcing independence on just the observed data does not imply independence on the entire population. Here we derive \acrshort{mmd} estimators used for invariance objectives under missing nuisances. On simulations and clinical data, optimizing through these estimates achieves test performance similar to using estimators that make use of the full data.Comment: CLeaR (Causal Learning and Reasoning) 202