702 research outputs found
The Genus Callirhoe (Malvaceae) in Texas
All species of Callirhoe known in the United States occur in Texas except C. triangulata. This statement is, of course, dependent on species concept. Callirhoe Bushii, perhaps better treated as a variety of another species, is also not known from Texas. The species C. triangulata has been reported from Texas, but all such material seen by me is referable to C. alcaeoides, since they have the lower leaves only crenate or dentate, rather than lobed or parted as is usual. Sheets of C. triangulata from the Gray Herbarium show Wisconsin, Illinois, Missouri and Alabama as the western limit of that species\u27 range. Dr. Woodson tells me that the Missouri Botanical Garden has no material from any place west of Illinois. The new edition of Gray\u27s Manual gives the range as Ala. to Tex. Presumably the inclusion of Texas in the range is based on published reports. In any event, I have seen no herbarium material to substantiate this statement, and so drop this species from the flora of Texas
Who uses foodbanks and why? Exploring the impact of financial strain and adverse life events on food insecurity
Background
Rising use of foodbanks highlights food insecurity in the UK. Adverse life events (e.g. unemployment, benefit delays or sanctions) and financial strains are thought to be the drivers of foodbank use. This research aimed to explore who uses foodbanks, and factors associated with increased food insecurity.
Methods
We surveyed those seeking help from front line crisis providers from foodbanks (N = 270) and a comparison group from Advice Centres (ACs) (N = 245) in relation to demographics, adverse life events, financial strain and household food security.
Results
About 55.9% of foodbank users were women and the majority were in receipt of benefits (64.8%). Benefit delays (31.9%), changes (11.1%) and low income (19.6%) were the most common reasons given for referral. Compared to AC users, there were more foodbank users who were single men without children, unemployed, currently homeless, experiencing more financial strain and adverse life events (P = 0.001). Food insecurity was high in both populations, and more severe if they also reported financial strain and adverse life events.
Conclusions
Benefit-related problems appear to be a key reason for foodbank referral. By comparison with other disadvantaged groups, foodbank users experienced more financial strain, adverse life events, both increased the severity of food insecurity
Universally Sloppy Parameter Sensitivities in Systems Biology
Quantitative computational models play an increasingly important role in
modern biology. Such models typically involve many free parameters, and
assigning their values is often a substantial obstacle to model development.
Directly measuring \emph{in vivo} biochemical parameters is difficult, and
collectively fitting them to other data often yields large parameter
uncertainties. Nevertheless, in earlier work we showed in a
growth-factor-signaling model that collective fitting could yield
well-constrained predictions, even when it left individual parameters very
poorly constrained. We also showed that the model had a `sloppy' spectrum of
parameter sensitivities, with eigenvalues roughly evenly distributed over many
decades. Here we use a collection of models from the literature to test whether
such sloppy spectra are common in systems biology. Strikingly, we find that
every model we examine has a sloppy spectrum of sensitivities. We also test
several consequences of this sloppiness for building predictive models. In
particular, sloppiness suggests that collective fits to even large amounts of
ideal time-series data will often leave many parameters poorly constrained.
Tests over our model collection are consistent with this suggestion. This
difficulty with collective fits may seem to argue for direct parameter
measurements, but sloppiness also implies that such measurements must be
formidably precise and complete to usefully constrain many model predictions.
We confirm this implication in our signaling model. Our results suggest that
sloppy sensitivity spectra are universal in systems biology models. The
prevalence of sloppiness highlights the power of collective fits and suggests
that modelers should focus on predictions rather than on parameters.Comment: Submitted to PLoS Computational Biology. Supplementary Information
available in "Other Formats" bundle. Discussion slightly revised to add
historical contex
Modelling shock-like injections of solar energetic particles with 3D test particle simulations
Solar Energetic Particle (SEP) acceleration and injection into interplanetary
space during gradual SEP events is thought to take place at Coronal Mass
Ejection (CME)-driven shocks. Features of measured intensity profiles at 1 au
have been attributed to properties of the radial and longitudinal/latitudinal
injections at the shock. Focussed transport models are typically used to model
acceleration at a CME-shock and subsequent propagation. Test particle
simulations are an alternative approach but so far they have been carried out
only with instantaneous injection near the Sun. We develop the first temporally
extended shock-like injection for our 3D test particle code and investigate how
the spatial features of injection affect SEP intensity and anisotropy profiles
for observers at 0.3 and 1.0 au. We conduct simulations of a monoenergetic
population of 5 MeV protons considering three different radial injection
functions and two longitudinal/latitudinal injection functions. We consider a
range of scattering conditions with scattering mean free path values ranging
from 0.1-1.0 au, and determine intensity and anisotropy profiles at six
observers at different longitudinal locations. We find that the radial,
longitudinal and latitudinal injection functions play a relatively minor role
in shaping the SEP intensity profiles. The dependence of profiles on the value
of the scattering mean free path is also weak, unlike what is found from 1D
focussed transport models. Spatial factors, such as the time of
observer-shock-connection/disconnection and time of shock passage have a much
stronger influence on SEP intensities and anisotropies. Persistent anisotropies
until shock passage are seen in our simulations. Comparing instantaneous and
shock-like injections, we find that the link between duration of injection and
of the SEP event is very weak, unlike what is commonly assumed.Comment: Submitted to A&
The impact of corotation on gradual solar energetic particle event intensity profiles
Corotation of particle-filled magnetic flux tubes is generally thought to
have a minor influence on the time-intensity profiles of gradual Solar
Energetic Particle (SEP) events. For this reason many models solve the focussed
transport equation within the corotating frame, thus neglecting corotation
effects. We study the effects of corotation on gradual SEP intensity profiles
at a range of observer longitudinal positions relative to the solar source. We
study how corotation affects the duration and decay time constant of SEP events
and the variation of peak intensity with observer position. We use a 3D
full-orbit test particle code with time-extended SEP injection via a shock-like
source. Unlike with focussed transport models, the test particle approach
enables us to switch corotation on and off easily. While shock acceleration is
not modelled directly, our methodology allows us to study how corotation and
the time-varying observer-shock magnetic connection influence intensity
profiles detected at six observers. We find that corotation strongly affects
SEP profiles, for a monoenergetic population of 5 MeV protons, being a dominant
influence during the decay phase. Simulations including corotation display
dramatically shortened durations for western events, compared to those which do
not include it. When corotation is taken into account, for both eastern and
western events the decay time constant is reduced and its dependence on the
scattering mean free path becomes negligible. Corotation reduces the peak
intensity for western events and enhances it for eastern ones, thus making the
east-west asymmetry in peak intensity stronger, compared to the no-corotation
case. Modelling SEP intensity profiles without carefully accounting for
corotation leads to artificially extended decay phases during western events
and profiles with a similar shape regardless of observer longitudinal position.Comment: Submitted to A&A Let
Detection of organic compound signatures in infra-red, limb emission spectra observed by the MIPAS-B2 instrument
International audienceOrganic compounds play a central role in troposphere chemistry and increasingly are a viable target for remote sensing observations. In this paper, infra-red spectral features of three organic compounds are investigated in thermal emission spectra recorded by a balloon-borne instrument, MIPAS-B2, operating at high spectral resolution. It is demonstrated, for the first time, that PAN and acetone can be detected in infra-red remote sensing spectra of the upper troposphere; detection results are presented at tangent altitudes of 10.4 km and 7.5 km (not acetone). In addition, the results provide the first observation of spectral features of formic acid in thermal emission, as opposed to solar occultation, and confirm that concentrations of this gas are likely to be measurable in the free troposphere, given accurate spectroscopic data. For PAN, two bands are observed centred at 794 cm?1 and 1163 cm?1. For acetone and formic acid, one band has been detected for each so far with band centres at 1218 cm?1 and 1105 cm?1 respectively. Mixing ratios inferred at 10.4 km tangent altitude are 180 pptv and 530 pptv for PAN and acetone respectively, and 200 pptv for formic acid with HITRAN 2000 spectroscopy. Accuracies are on the order of 30 to 50%. The detection technique applied here is verified by examining weak but known signatures of CFC-12 and HCFC-22 in the same spectral regions as those of the organic compounds, with results confirming the quality of both the instrument and the radiative transfer model. The results suggest the possibility of global sensing of the organic compounds studied here which would be a major step forward in verifying and interpreting global tropospheric model calculations
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