DIFFERENCES IN REACTION FORCE-TIME CHARACTERISTICS EXPERIENCED BY FEMALES WHEN RUNNING ON A TRACK AT DIFFERENT SPEEDS

Elite collegiate runners are susceptible to sustaining lower extremity stress related injuries. Ground reaction forces (GRFs) were analyzed to understand differences in mechanical loading at steady state 5.5 and 7 min/mile paces. We hypothesized GRF magnitudes would increase with speed while horizontal GRFs during braking would be unique to each participant. GRFs, inertial measurement units, and high speed video were collected during outdoor over ground running. Group differences were observed that were not always significant within participant. As speed increased, average horizontal GRF during braking (-0.25 to -0.29 BWs) decreased while peak vertical GRF increased (2.75 to 2.91 BWs). The unique pattern of the sagittal plane resultant GRF orientation was maintained during initial braking phase which may indicate this orientation is a nervous system control priority

CHANGES IN 800 METER PERSONAL RECORDS FOR COMPETITIVE FEMALE RUNNERS FROM HIGH SCHOOL TO COLLEGE

TTo advance understanding of improvements in running performance, changes in personal records (PR) from high school to college were compared. It was hypothesized that females competing in the 800m in college would improve PR times from high school to college, improvements would be different between athletic conferences, and modern statistical methods could differentiate trends in the relationship between high school and college PR. Data from female athletes competing in the 800m from three different athletic conferences (n=73) were gathered from published race results and 79.4% improved by at least 1s with no significant differences between conferences. A positive relationship exists between high school and college PRs. Knowledge of changes in running performance provides context when interpreting an individual’s improvements in running biomechanics over time

RCLUS, A NEW PROGRAM FOR CLUSTERING ASSOCIATED SPECIES: A DEMONSTRATION USING A MOJAVE DESERT PLANT COMMUNITY DATASET

This paper presents a new clustering program named RCLUS that was developed for species (R-mode) analysis of plant community data. RCLUS identifies clusters of co-occurring species that meet a user-specified cutoff level of positive association with each other. The "strict affinity" clustering algorithm in RCLUS builds clusters of species whose pairwise associations all exceed the cutoff level, whereas the "coalition" clustering algorithm only requires that the mean pairwise association of the cluster exceeds the cutoff level. Both algorithms allow species to belong to multiple clusters, thus accommodating both generalist and specialist species. Using a 60-plot dataset of perennial plants occurring on the Beaver Dam Slope in southwestern Utah, we carried out RCLUS analyses and compared the results with 2 widely used clustering techniques: UPGMA and PAM. We found that many of the RCLUS clusters were subsets of the UPGMA and PAM clusters, although novel species combinations were also generated by RCLUS. An advantage of RCLUS over these methods is its ability to exclude species that are poorly represented in a dataset as well as species lacking strong association patterns. The RCLUS program also includes modules that assess the affinity of a given species, plot, or environmental variable to a given cluster. We found statistically significant correlations between some of the RCLUS species clusters and certain environmental variables of the study area (elevation and topographical position). We also noted differences in clustering behavior when different association coefficients were used in RCLUS and found that those incorporating joint absences (e.g., the phi coefficient) produced more clusters and more even numbers of species per cluster than those not incorporating joint absences (e.g., the Jaccard index). In addition to the species association application described in this paper, the RCLUS algorithms could be used for preliminary data stratification in sample (Q-mode) analysis. The indirect link between sample plots and RCLUS species clusters could also be exploited to yield a form of "fuzzy" classification of plots or to characterize species pools of plots

#DryByChristmas: A patient and public involvement study on women's engagement with humorous pelvic floor muscle training digital nudges on social media

Introduction: Patient and public involvement (PPI) is essential for women's health research. Little is known about how women engage with humorous social media and behavioural health messaging targeting pelvic floor muscle training (PFMT). This PPI aimed to understand how women engage with a humorous social media campaign encouraging PFMT. The study findings will influence the co-design of a digital intervention to support women's adherence to PFMT. Methods: The Guidance for Reporting Involvement of Patients and the Public Version 2 short form was used to report the study's findings. The study examined public engagement with a humorous social media campaign encouraging PFMT in women. A healthcare professional and comedian ran the campaign following the national guidelines for engagement in PFMT. Instagram analytics gave insight into the demographics of the public who engaged, how they engaged and the most popular content. The behaviour change techniques (BCTs) used in the digital nudges that generated the highest levels of engagement were analysed using the Capability Opportunity Motivation Behaviour Change Wheel. Results: The majority (96%) of the population showing the highest levels of engagement were women aged 35–44 years and were based in the United Kingdom (77%). The Instagram account saw an increase in engagement by 12% over the 3-month campaign, with 22,032 users seeing digital nudges and 2645 engaging with the digital nudges. The preferred way of engaging was using Likes (9723). The common themes in the digital nudges that generated the highest levels of engagement were BCTs associated with the ‘social influences’ theoretical domain framework that targeted the core behaviour opportunity. Conclusion: The study findings suggest humour may improve women's engagement with online PFMT programmes; however, more rigorous research is required to better understand diverse women's experiences of humorous online PFMT nudges. Future studies may use PFMT mobile apps instead of social media to capture true user engagement and adherence to PFMT more accurately. The insights gained from the study will be taken forward to co-design a digital behavioural intervention as part of a larger study. Public Contribution: Members of the public were involved in the co-design of a digital health intervention that will be trialled as part of a larger research study. The public was involved using the social media platform Instagram. Public engagement with a humorous social media campaign to encourage women to engage with pelvic floor exercises was captured using Instagram analytics, for example, the timing of engagement

Accountability in the East Asian economic miracle, crisis and recovery

Despite claims that accountability enables 'good governance' proper, its specific origins, character and limitations are not yet fully clear. In order to explicate the nature of accountability better this paper will, therefore, formulate and apply its own comparative framework to the case of the East Asian economic miracle, crisis and recovery in particular. In so doing it finds that, even when accountability emerged as a mid-crisis issue that was dramatically reconfigured for any due recovery later, it was not itself then sufficiently explicated for all the implications and consequences to be realized fully. Once it is explicated more fully, however, the further implications and consequences of changing accountability for economic governance question precisely what is to be expected from accountability per se

Conducting robust ecological analyses with climate data

Although the number of studies discerning the impact of climate change on ecological systems continues to increase, there has been relatively little sharing of the lessons learnt when accumulating this evidence. At a recent workshop entitled ‘Using climate data in ecological research’ held at the UK Met Office, ecologists and climate scientists came together to discuss the robust analysis of climate data in ecology. The discussions identified three common pitfalls encountered by ecologists: 1) selection of inappropriate spatial resolutions for analysis; 2) improper use of publically available data or code; and 3) insufficient representation of the uncertainties behind the adopted approach. Here, we discuss how these pitfalls can be avoided, before suggesting ways that both ecology and climate science can move forward. Our main recommendation is that ecologists and climate scientists collaborate more closely, on grant proposals and scientific publications, and informally through online media and workshops. More sharing of data and code (e.g. via online repositories), lessons and guidance would help to reconcile differing approaches to the robust handling of data. We call on ecologists to think critically about which aspects of the climate are relevant to their study system, and to acknowledge and actively explore uncertainty in all types of climate data. And we call on climate scientists to make simple estimates of uncertainty available to the wider research community. Through steps such as these, we will improve our ability to robustly attribute observed ecological changes to climate or other factors, while providing the sort of influential, comprehensive analyses that efforts to mitigate and adapt to climate change so urgently require

Single hadron response measurement and calorimeter jet energy scale uncertainty with the ATLAS detector at the LHC

The uncertainty on the calorimeter energy response to jets of particles is derived for the ATLAS experiment at the Large Hadron Collider (LHC). First, the calorimeter response to single isolated charged hadrons is measured and compared to the Monte Carlo simulation using proton-proton collisions at centre-of-mass energies of sqrt(s) = 900 GeV and 7 TeV collected during 2009 and 2010. Then, using the decay of K_s and Lambda particles, the calorimeter response to specific types of particles (positively and negatively charged pions, protons, and anti-protons) is measured and compared to the Monte Carlo predictions. Finally, the jet energy scale uncertainty is determined by propagating the response uncertainty for single charged and neutral particles to jets. The response uncertainty is 2-5% for central isolated hadrons and 1-3% for the final calorimeter jet energy scale.Comment: 24 pages plus author list (36 pages total), 23 figures, 1 table, submitted to European Physical Journal

Measurements of fiducial and differential cross sections for Higgs boson production in the diphoton decay channel at s√=8 TeV with ATLAS

Measurements of fiducial and differential cross sections are presented for Higgs boson production in proton-proton collisions at a centre-of-mass energy of s√=8 TeV. The analysis is performed in the H → γγ decay channel using 20.3 fb−1 of data recorded by the ATLAS experiment at the CERN Large Hadron Collider. The signal is extracted using a fit to the diphoton invariant mass spectrum assuming that the width of the resonance is much smaller than the experimental resolution. The signal yields are corrected for the effects of detector inefficiency and resolution. The pp → H → γγ fiducial cross section is measured to be 43.2 ±9.4(stat.) − 2.9 + 3.2 (syst.) ±1.2(lumi)fb for a Higgs boson of mass 125.4GeV decaying to two isolated photons that have transverse momentum greater than 35% and 25% of the diphoton invariant mass and each with absolute pseudorapidity less than 2.37. Four additional fiducial cross sections and two cross-section limits are presented in phase space regions that test the theoretical modelling of different Higgs boson production mechanisms, or are sensitive to physics beyond the Standard Model. Differential cross sections are also presented, as a function of variables related to the diphoton kinematics and the jet activity produced in the Higgs boson events. The observed spectra are statistically limited but broadly in line with the theoretical expectations

Measurement of χ c1 and χ c2 production with s√ = 7 TeV pp collisions at ATLAS

The prompt and non-prompt production cross-sections for the χ c1 and χ c2 charmonium states are measured in pp collisions at s√ = 7 TeV with the ATLAS detector at the LHC using 4.5 fb−1 of integrated luminosity. The χ c states are reconstructed through the radiative decay χ c → J/ψγ (with J/ψ → μ + μ −) where photons are reconstructed from γ → e + e − conversions. The production rate of the χ c2 state relative to the χ c1 state is measured for prompt and non-prompt χ c as a function of J/ψ transverse momentum. The prompt χ c cross-sections are combined with existing measurements of prompt J/ψ production to derive the fraction of prompt J/ψ produced in feed-down from χ c decays. The fractions of χ c1 and χ c2 produced in b-hadron decays are also measured

Standalone vertex finding in the ATLAS muon spectrometer

A dedicated reconstruction algorithm to find decay vertices in the ATLAS muon spectrometer is presented. The algorithm searches the region just upstream of or inside the muon spectrometer volume for multi-particle vertices that originate from the decay of particles with long decay paths. The performance of the algorithm is evaluated using both a sample of simulated Higgs boson events, in which the Higgs boson decays to long-lived neutral particles that in turn decay to bbar b final states, and pp collision data at √s = 7 TeV collected with the ATLAS detector at the LHC during 2011