1,177 research outputs found
Further comments-Waihi Terrace and Hamilton Ash Ages
The authors of the previous paper (Selby et al. 1971) kindly allowed us to see their manuscript, prior to publication. They have made a significant contribution to Bay of Plenty late Quaternary stratigraphy in recognising established ash beds in the coastal terrace sequence at Waihi Beach (Kear & Waterhouse, 1961). This brief note acknowledges their work, and uses their data to produce an alternative age interpretation, that implies broad dates for the formation of each of the coastal terraces and for the Hamilton Ash
Understanding team resilience in the world's best athletes: a case study of a rugby union World Cup winning team
Objective: Although team resilience research has identified the characteristics of elite sport teams that
positively adapt to adversity, further research is required to understand how resilient teams function. The
objective of this study, therefore, was to explore the psychosocial processes underpinning team resilience
in elite sport.
Design: Narrative inquiry was employed to better understand team resilience.
Method: The sample consisted of eight members of the 2003 England rugby union World Cup winning
team. The autobiographies of these team members were analyzed using three types of narrative analyzes:
holistic-content analysis, holistic-form analysis, and categorical-form analysis.
Results: Findings revealed five main psychosocial processes underpinning team resilience: transformational
leadership, shared team leadership, team learning, social identity, and positive emotions. An
examination of narrative structure within the autobiographies revealed a progressive narrative form
characterized by a collective positive evaluation of setbacks.
Conclusions: This study extends previous team resilience research by going beyond the identification of
resilient characteristics to explaining underpinning psychosocial processes. The team resilience processes
are discussed in relation to previous research findings and in terms of their implications for
practising sport psychologists. It is anticipated that this study will provide practitioners with a framework
to develop team resilience at the highest levels of sport
On an Asymptotic Series of Ramanujan
An asymptotic series in Ramanujan's second notebook (Entry 10, Chapter 3) is
concerned with the behavior of the expected value of for large
where is a Poisson random variable with mean and
is a function satisfying certain growth conditions. We generalize this by
studying the asymptotics of the expected value of when the
distribution of belongs to a suitable family indexed by a convolution
parameter. Examples include the problem of inverse moments for distribution
families such as the binomial or the negative binomial.Comment: To appear, Ramanujan
A Hybrid Sequencing Approach Completes the Genome Sequence of Thermoanaerobacter ethanolicus JW 200
Thermoanaerobacter ethanolicus JW 200 has been identified as a potential sustainable biofuel producer due to its ability to readily ferment carbohydrates to ethanol. A hybrid sequencing approach, combining Oxford Nanopore and Illumina DNA sequence reads, was applied to produce a single contiguous genome sequence of 2,911,280 bp
Measurement of the Gluino Mass via Cascade Decays for SPS 1a
If R-parity conserving supersymmetry is realised with masses below the TeV
scale, sparticles will be produced and decay in cascades at the LHC. In the
case of a neutral LSP, which will not be detected, decay chains cannot be fully
reconstructed, complicating the mass determination of the new particles. In
this paper we extend the method of obtaining masses from kinematical endpoints
to include a gluino at the head of a five-sparticle decay chain. This
represents a non-trivial extension of the corresponding method for the squark
decay chain. We calculate the endpoints of the new distributions and assess
their applicability by examining the theoretical distributions for a variety of
mass scenarios. The precision with which the gluino mass can be determined by
this method is investigated for the mSUGRA point SPS 1a. Finally we estimate
the improvement obtained from adding a Linear Collider measurement of the LSP
mass.Comment: 40 pages; extended discussion of error
Invariant mass distributions in cascade decays
We derive analytical expressions for the shape of the invariant mass
distributions of massless Standard Model endproducts in cascade decays
involving massive New Physics (NP) particles, D -> Cc -> Bbc -> Aabc, where the
final NP particle A in the cascade is unobserved and where two of the particles
a, b, c may be indistinguishable. Knowledge of these expressions can improve
the determination of NP parameters at the LHC. The shape formulas are
composite, but contain nothing more complicated than logarithms of simple
expressions. We study the effects of cuts, final state radiation and detector
effects on the distributions through Monte Carlo simulations, using a
supersymmetric model as an example. We also consider how one can deal with the
width of NP particles and with combinatorics from the misidentification of
final state particles. The possible mismeasurements of NP masses through `feet'
in the distributions are discussed. Finally, we demonstrate how the effects of
different spin configurations can be included in the distributions.Comment: 39 pages, 14 figures (colour), JHEP clas
Profile Characteristics of Cut Tooth Surfaces Developed by Rotating Instruments
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68018/2/10.1177_00220345570360062301.pd
Recommended from our members
Brookes equation: The basis for a qualitative characterization of information behaviours
Brookes equation, which has hitherto been regarded as a kind of non-mathematical shorthand description of information use, is extended so as to show the qualitative pattern of information access. Information inputs are represented by a simple power law, and changes in knowledge structure by possible changes to a simple mental map. The resulting pattern shows seven forms of information input and three forms of change in knowledge structure, giving 21 categories overall. These have the potential for use as an explanatory tool and taxonomy for studying and summarizing information behaviour, and offer the possibility of being developed into more sophisticated and quantitative treatments
Clinical and Laboratory Associations with Methotrexate Metabolism Gene Polymorphisms in Rheumatoid Arthritis
Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease that causes loss of joint function and significantly reduces quality of life. Plasma metabolite concentrations of disease-modifying anti-rheumatic drugs (DMARDs) can influence treatment efficacy and toxicity. This study explored the relationship between DMARD-metabolising gene variants and plasma metabolite levels in RA patients. DMARD metabolite concentrations were determined by tandem mass-spectrometry in plasma samples from 100 RA patients with actively flaring disease collected at two intervals. Taqman probes were used to discriminate single-nucleotide polymorphism (SNP) genotypes in cohort genomic DNA: rs246240 (ABCC1), rs1476413 (MTHFR), rs2231142 (ABCG2), rs3740065 (ABCC2), rs4149081 (SLCO1B1), rs4846051 (MTHFR), rs10280623 (ABCB1), rs16853826 (ATIC), rs17421511 (MTHFR) and rs717620 (ABCC2). Mean plasma concentrations of methotrexate (MTX) and MTX-7-OH metabolites were higher (p < 0.05) at baseline in rs4149081 GA genotype patients. Patients with rs1476413 SNP TT or CT alleles have significantly higher (p < 0.001) plasma poly-glutamate metabolites at both study time points and correspondingly elevated disease activity scores. Patients with the rs17421511 SNP AA allele reported significantly lower pain scores (p < 0.05) at both study intervals. Genotyping strategies could help prioritise treatments to RA patients most likely to gain clinical benefit whilst minimizing toxicity
New-Physics Effects on Triple-Product Correlations in Lambda_b Decays
We adopt an effective-lagrangian approach to compute the new-physics
contributions to T-violating triple-product correlations in charmless Lambda_b
decays. We use factorization and work to leading order in the heavy-quark
expansion. We find that the standard-model (SM) predictions for such
correlations can be significantly modified. For example, triple products which
are expected to vanish in the SM can be enormous (~50%) in the presence of new
physics. By measuring triple products in a variety of Lambda_b decays, one can
diagnose which new-physics operators are or are not present. Our general
results can be applied to any specific model of new physics by simply
calculating which operators appear in that model.Comment: 20 pages, LaTeX, no figures. Added a paragraph (+ references)
discussing nonfactorizable effects. Conclusions unchange
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