Voluntary activation of human knee extensors measured using transcranial magnetic stimulation

The aim of this study was to determine the applicability and reliability of a transcranial magnetic stimulation twitch interpolation technique for measuring voluntary activation of a lower limb muscle group. Cortical voluntary activation of the knee extensors was determined in nine healthy men on two separate visits by measuring superimposed twitch torques evoked by transcranial magnetic stimulation during isometric knee extensions of varying intensity. Superimposed twitch amplitude decreased linearly with increasing voluntary torque between 50 and 100% of mean maximal torque, allowing estimation of resting twitch amplitude and subsequent calculation of voluntary activation. There were no systematic differences for maximal voluntary activation within day (mean ± S.D. 90.9 ± 6.2 versus 90.7 ± 5.9%; P = 0.98) or between days (90.8 ± 6.0 versus 91.2 ± 5.7%; P = 0.92). Systematic bias and random error components of the 95% limits of agreement were 0.23 and 9.3% within day versus −0.38 and 7.5% between days. Voluntary activation was also determined immediately after a 2 min maximal voluntary isometric contraction; in four of these subjects, voluntary activation was determined 30 min after the sustained contraction. Immediately after the sustained isometric contraction, maximal voluntary activation was reduced from 91.2 ± 5.7 to 74.2 ± 12.0% (P < 0.001), indicating supraspinal fatigue. After 30 min, voluntary activation had recovered to 85.4 ± 8.8% (P = 0.39 versus baseline). These results demonstrate that transcranial magnetic stimulation enables reliable measurement of maximal voluntary activation and assessment of supraspinal fatigue of the knee extensors

Financing threatened species management: the costs of single species programmes and the budget constraint

In New Zealand total annual funding allows 15 percent of the 2,400 threatened species to be targeted for management. Although management costs are crucial to a conservation organisation's ability to achieve its goals, estimates of costs are not usually included in applications for funding or the preparation of recovery plans. Cost is also not generally a factor in priority ranking systems and cost-effectiveness analysis is rarely conducted. Using the results of analysis of 11 single species programmes for 2003-2012, this paper investigates the costs of management. It also considers the impact of the budget constraint on outcomes, cost-effectiveness, and investment.threatened species, management, cost, budget constraint, Agricultural and Food Policy, Environmental Economics and Policy, Land Economics/Use, Research Methods/ Statistical Methods, Resource /Energy Economics and Policy,

Conference 2014 speaker series: an interview with Alice Ross

Ahead of the Polis Annual Journalism Conference on Friday March 28th, we are interviewing some of our speakers. Alice Ross leads The Bureau for Investigative Journalism’s work on drones. The Covert Drone War project is based on a database of all known US drone attacks in Pakistan, Somalia and Yemen, providing details of the number of strikes in each country and estimate numbers of those killed, including civilians

Perceiving and expressing feelings through actions in relation to individual differences in empathic traits : the Action and Feelings Questionnaire (AFQ)

Peer reviewedPublisher PD

A spatio-temporal model for Red Sea surface temperature anomalies

This paper details the approach of team Lancaster to the 2019 EVA data challenge, dealing with spatio-temporal modelling of Red Sea surface temperature anomalies. We model the marginal distributions and dependence features separately; for the former, we use a combination of Gaussian and generalised Pareto distributions, while the dependence is captured using a localised Gaussian process approach. We also propose a space-time moving estimate of the cumulative distribution function that takes into account spatial variation and temporal trend in the anomalies, to be used in those regions with limited available data. The team's predictions are compared to results obtained via an empirical benchmark. Our approach performs well in terms of the threshold-weighted continuous ranked probability score criterion, chosen by the challenge organiser