HIEN-LO: An experiment for charge determination of cosmic rays of interplanetary and solar origin

The experiment is designed to measure the heavy ion environment at low altitude (HIEN-LO) in the energy range 0.3 to 100 MeV/nucleon. In order to cover this wide energy range a complement of three sensors is used. A large area ion drift chamber and a time-of-flight telescope are used to determine the mass and energy of the incoming cosmic rays. A third omnidirectional counter serves as a proton monitor. The analysis of mass, energy and incoming direction in combination with the directional geomagnetic cut-off allows the determination of the ionic charge of the cosmic rays. The ionic charge in this energy range is of particular interest because it provides clues to the origin of these particles and to the plasma conditions at the acceleration site. The experiment is expected to be flown in 1988/1989

The effect of habitat and body size on the evolution of vocal displays in Thraupidae (tanagers), the largest family of songbirds

© 2015 The Linnean Society of London. Animals rely on auditory cues to relay important information between individuals regarding territoriality, mating status, and individual condition. The efficacy of acoustic signals can depend on many factors, including the transmitter, the receiver, and the signalling environment. In the present study, we evaluate the effect of body size and habitat on the evolution of learned vocal displays across the tanagers (Aves: Thraupidae), a group that comprises nearly 10% of all songbird species. We find that body size affects tanager vocalizations, such that nine out of ten song characters and scores from two principal component axes were correlated with mass. More specifically, larger tanagers tended to produce slower-paced, lower-pitched vocal displays within narrower bandwidths. In contrast, habitat was correlated with only three out of ten song characters, and only one of these characters corroborated the directional predictions of the acoustic adaptation hypothesis. Thus, morphological characters, such as body mass, may play a more important role than variation among signalling environments in the evolution of avian vocal displays

A method for ensemble expansion and improved definition of forecast distributions from climate simulations

Because of the inherently chaotic nature of the atmosphere, ensemble simulations are required to characterize a model’s response to the prescribed boundary forcing in probabilistic terms, particularly if the focus is on the probabilities of extreme events. At the same time, substantial computer resources are needed to produce routinely ensemble seasonal climate forecasts of sufficient size to make suitably reproducible estimates of such probabilities. We describe a method for artificially expanding the effective number of members in ensemble climate simulations on a seasonal basis, thereby reducing uncertainty in estimated probability distributions. As described here, the method involves calculating seasonal statistics using monthly values from all possible combinations of ensemble members. Under certain assumptions, this method is able to increase the effective ensemble size of an N-member M-month seasonal forecast by a factor of (asymptotically) M. One key assumption in this regard is that, aside from the effects of prescribed boundary conditions, the month-to-month values from a particular ensemble member are linear independent. This paper describes the behaviour of the ensemble expansion technique using both idealized and actual ensemble forecast data under a variety of conditions, drawing comparisons with an alternative parametric approach for ensemble expansion. A method for testing the assumption of linear independence in model simulations is also presented

Conditional probabilities, relative operating characteristics, and relative operating levels

The relative operating characteristic (ROC) curve is a highly flexible method for representing the quality of dichotomous, categorical, continuous, and probabilistic forecasts. The method is based on ratios that measure the proportions of events and nonevents for which warnings were provided. These ratios provide estimates of the probabilities that an event will be forewarned and that an incorrect warning will be provided for a nonevent. Some guidelines for interpreting the ROC curve are provided. While the ROC curve is of direct interest to the user, the warning is provided in advance of the outcome and so there is additional value in knowing the probability of an event occurring contingent upon a warning being provided or not provided. An alternative method to the ROC curve is proposed that represents forecast quality when expressed in terms of probabilities of events occurring contingent upon the warnings provided. The ratios used provide estimates of the probability of an event occurring given the forecast that is issued. Some problems in constructing the curve in a manner that is directly analogous to that for the ROC curve are highlighted, and so an alternative approach is proposed. In the context of probabilistic forecasts, the ROC curve provides a means of identifying the forecast probability at which forecast value is optimized. In the context of continuous variables, the proposed relative operating levels curve indicates the exceedence threshold for defining an event at which forecast skill is optimized, and can enable the forecast user to estimate the probabilities of events other than that defined by the forecaster

Longitudinal analysis of a diversity support program in biology: A national call for further assessment

© The Author(s) 2017. National calls to improve the performance and persistence of students from historically underrepresented backgrounds in science have led to a surge of research on inclusive, evidence-based teaching methods. Less work has revealed the effects of diversity support initiatives that improve campus climate and community cohesion. Here, we examine whether participation in the Biology Scholars Program (BSP) at Cornell University-a diversity support program at a prominent university-affects underrepresented racial minority (URM) student performance. We found that BSP participants are less academically prepared when they enter college but typically have GPAs similar to those of their non-BSP counterparts at graduation, thereby closing achievement gaps. Although the BSP appears to help URM students, we cannot assert that the BSP alone is responsible for these effects; future work should isolate effective strategies that contribute to student success. In response to these results, we lay out strategies that support programs could implement to maximize positive impacts

Elaborate visual and acoustic signals evolve independently in a large, phenotypically diverse radiation of songbirds

The concept of a macroevolutionary trade-off among sexual signals has a storied history in evolutionary biology. Theory predicts that if multiple sexual signals are costly for males to produce or maintain and females prefer a single, sexually selected trait, then an inverse correlation between sexual signal elaborations is expected among species. However, empirical evidence for what has been termed the \u27transfer hypothesis\u27 is mixed, which may reflect different selective pressures among lineages, evolutionary covariates or methodological differences among studies. Here,we examine interspecific correlations between song and plumage elaboration in a phenotypically diverse, widespread radiation of songbirds, the tanagers. The tanagers (Thraupidae) are the largest family of songbirds, representing nearly 10% of all songbirds. We assess variation in song and plumage elaboration across 301 species, representing the largest scale comparative study of multimodal sexual signalling to date. We consider whether evolutionary covariates, including habitat, structural and carotenoid-based coloration, and subfamily groupings influence the relationship between song and plumage elaboration. We find that song and plumage elaboration are uncorrelated when considering all tanagers, although the relationship between song and plumage complexity varies among subfamilies. Taken together, we find that elaborate visual and vocal sexual signals evolve independently among tanagers. © 2014 The Authors Published by the Royal Society. All rights reserved

Space vector modulation of a 4-leg matrix converter

This thesis covers the investigation into the use of Space Vector Modulation for the control of a 4-leg matrix converter, which is capable of providing a 3-phase plus neutral supply from a standard balanced 3-phase source. Traditional 3x3 matrix converters have limited use in this application as they are only capable of supplying a balanced three-phase load. It would be desirable to be able to power unbalanced and non-linear loads, requiring that the converter provides a neutral connection. As with voltage source inverters, this goal can be achieved by extending the number of output legs in the matrix converter to four. In this thesis, a new Space Vector Modulation technique is proposed for this 4-leg, or 3x4, matrix converter. This technique is an extension of the method currently in use on 3x3 matrix converters, and so it allows the de-coupled control of both the input and output. The thesis then goes onto cover the build of a demonstration converter, looking at the different aspects which make up a converter, to finally go on to prove the theory, and a set of results are presented to validate this