2,108 research outputs found
Exploring Anatomy Coursework and Perceptions of Occupational Therapy Students: A Survey Study
Occupational therapy practitioners utilize their knowledge of human anatomy to understand underlying anatomical dysfunction and how it impacts occupational performance. However, anatomy is not a required standalone course within occupational therapy curricula. This may leave students at a disadvantage throughout occupational therapy programs, fieldwork, and as practitioners. The primary purpose of this study was to explore graduate level occupational therapy studentsâ previous anatomy undergraduate coursework, student perceived preparedness of anatomical knowledge, and their performance in a mandatory Analysis of Human Movement course within our universityâs occupational therapy graduate programs. The secondary purpose was to determine student interest in a standalone online anatomy review course if one were offered at the start of program matriculation. Participants (n=87) completed a 14-item survey regarding demographics, prior anatomy coursework, perceived preparedness, and academic performance in a mandatory Analysis of Human Movement course. Descriptive statistics and a Pearsonâs correlation were conducted. Data analysis revealed statistically significant correlations among several variables including perceived preparedness, and whether students felt they would have benefited from and participated in an online anatomy review course. No statistically significant correlations were found between academic performance and any other variable. Data analysis also revealed that regardless of prior anatomy coursework, perceived preparedness, and academic performance almost all participants (n=80; 92%) indicated that they would have benefited from and participated in an online anatomy review course. Though continued research is warranted, occupational therapy programs may consider the implementation of a standalone anatomy course to promote studentsâ academic and clinical success
Genomic characterization of Gli-activator targets in sonic hedgehog-mediated neural patterning
Sonic hedgehog (Shh) acts as a morphogen to mediate the specification of distinct cell identities in the ventral neural tube through a Gli-mediated (Gli1-3) transcriptional network. Identifying Gli targets in a systematic fashion is central to the understanding of the action of Shh. We examined this issue in differentiating neural progenitors in mouse. An epitope-tagged Gli-activator protein was used to directly isolate cis-regulatory sequences by chromatin immunoprecipitation (ChIP). ChIP products were then used to screen custom genomic tiling arrays of putative Hedgehog (Hh) targets predicted from transcriptional profiling studies, surveying 50-150 kb of non-transcribed sequence for each candidate. In addition to identifying expected Gli-target sites, the data predicted a number of unreported direct targets of Shh action. Transgenic analysis of binding regions in Nkx2.2, Nkx2.1 (Titf1) and Rab34 established these as direct Hh targets. These data also facilitated the generation of an algorithm that improved in silico predictions of Hh target genes. Together, these approaches provide significant new insights into both tissue-specific and general transcriptional targets in a crucial Shh-mediated patterning process
1,135 ionomes reveal the global pattern of leaf and seed mineral nutrient and trace element diversity in Arabidopsis thaliana
We thank the laboratory members who helped with the sowing and harvesting of the materials for this very large highâthroughput experiment. We recognise the late Dr John Danku for performing the ICPâMS analysis for this research. This work was funded by UKRI BBSRC grants (BB/L000113/1 and BB/N023927/1) to DES and support from the Future Food Beacon of Excellence, University of Nottingham.Peer reviewedPublisher PD
Ceratoscopelus maderensis : pecular sound-scattering layer identified with this myctophid fish
Reprint. Science, vol. 160, no. 3831, 1968, pp. 991-993. Originally issued as Reference No. 68-58, series later renamed WHOI-.A sound- scattering layer, composed of discrete
hyperbolic echo-sequences and apparently restricted to the
Slope Water region of the western North Atlantic, has been
identified from the Deep Submergence Research Vehicle ALVIN
with schools of the myctophid fish Ceratoscopelus maderensis.
By diving into the layer and using ALVIN's echo-ranging sonar,
we approached and visually identified the sound scatterers. The
number of echo sequences observed with the surface echo-sounder
(1 /23. 76 x 105 cubic meters of water) checked roughly with the
number of sonar targets observed from the submarine (1/7. 45 x
105 cubic meters) . The fish schools appeared to be 5 to 10 meters
thick, 10 to 100 meters in diameter, and on centers 100 to 200
meters apart. Density within schools was estimated at 10 to 15
fish per cubic meter.Supported in part by contracts Nonr-3484(00)
and Nonr-4029(00) and by NSF grant GB-4431
The 3rd Fermi GBM Gamma-Ray Burst Catalog: The First Six Years
Since its launch in 2008, the Fermi Gamma-ray Burst Monitor (GBM) has
triggered and located on average approximately two gamma-ray bursts (GRB) every
three days. Here we present the third of a series of catalogs of GRBs detected
by GBM, extending the second catalog by two more years, through the middle of
July 2014. The resulting list includes 1405 triggers identified as GRBs. The
intention of the GBM GRB catalog is to provide information to the community on
the most important observables of the GBM detected GRBs. For each GRB the
location and main characteristics of the prompt emission, the duration, peak
flux and fluence are derived. The latter two quantities are calculated for the
50-300~keV energy band, where the maximum energy release of GRBs in the
instrument reference system is observed, and also for a broader energy band
from 10-1000 keV, exploiting the full energy range of GBM's low-energy NaI(Tl)
detectors. Using statistical methods to assess clustering, we find that the
hardness and duration of GRBs are better fitted by a two-component model with
short-hard and long-soft bursts, than by a model with three components.
Furthermore, information is provided on the settings and modifications of the
triggering criteria and exceptional operational conditions during years five
and six in the mission. This third catalog is an official product of the Fermi
GBM science team, and the data files containing the complete results are
available from the High-Energy Astrophysics Science Archive Research Center
(HEASARC).Comment: 225 pages, 13 figures and 8 tables. Accepted for publication in
Astrophysical Journal Supplement 201
The Fermi GBM Gamma-Ray Burst Spectral Catalog: Four Years Of Data
In this catalog we present the updated set of spectral analyses of GRBs
detected by the Fermi Gamma-Ray Burst Monitor (GBM) during its first four years
of operation. It contains two types of spectra, time-integrated spectral fits
and spectral fits at the brightest time bin, from 943 triggered GRBs. Four
different spectral models were fitted to the data, resulting in a compendium of
more than 7500 spectra. The analysis was performed similarly, but not
identically to Goldstein et al. 2012. All 487 GRBs from the first two years
have been re-fitted using the same methodology as that of the 456 GRBs in years
three and four. We describe, in detail, our procedure and criteria for the
analysis, and present the results in the form of parameter distributions both
for the observer-frame and rest-frame quantities. The data files containing the
complete results are available from the High-Energy Astrophysics Science
Archive Research Center (HEASARC).Comment: Accepted for publication in ApJ
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A method for the objective selection of landscape-scale study regions and sites at the national level
1. Ecological processes operating on large spatio-temporal scales are difficult to disentangle with traditional empirical approaches. Alternatively, researchers can take advantage of ânaturalâ experiments, where experimental control is exercised by careful site selection. Recent advances in developing protocols for designing these âpseudo-experimentsâ commonly do not consider the selection of the focal region and predictor variables are usually restricted to two. Here, we advance this type of site selection protocol to study the impact of multiple landscape scale factors on pollinator abundance and diversity across multiple regions.
2. Using datasets of geographic and ecological variables with national coverage, we applied a novel hierarchical
computation approach to select study sites that contrast as much as possible in four key variables, while attempting to maintain regional comparability and national representativeness. There were three main steps to the protocol: (i) selection of six 100 9 100 km2 regions that collectively provided land cover representative of the national land average, (ii) mapping of potential sites into a multivariate space with axes representing four key factors potentially influencing insect pollinator abundance, and (iii) applying a selection algorithm which maximized differences between the four key variables, while controlling for a set of external constraints.
3. Validation data for the site selection metrics were recorded alongside the collection of data on pollinator populations during two field campaigns. While the accuracy of the metric estimates varied, the site selection succeeded in objectively identifying field sites that differed significantly in values for each of the four key variables. Between-variable correlations were also reduced or eliminated, thus facilitating analysis of their separate effects.
4. This study has shown that national datasets can be used to select randomized and replicated field sites objectively within multiple regions and along multiple interacting gradients. Similar protocols could be used for studying a range of alternative research questions related to land use or other spatially explicit environmental variables, and to identify networks of field sites for other countries, regions, drivers and response taxa in a wide range of scenarios
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Plasma adiponectin levels are associated with circulating inflammatory cytokines in autoantibody positive first-degree relatives of rheumatoid arthritis patients
Background
Extra-articular manifestations of rheumatoid arthritis (RA), potentially due to systemic inflammation, include cardiovascular disease and sarcopenic obesity. Adiponectin, an adipose-derived cytokine, has been implicated in inflammatory processes in RA, but little is known regarding its association with inflammation in a pre-clinical period. Therefore, we investigated whether adiponectin was associated with inflammatory markers in individuals at risk for RA, and whether RA-related autoimmunity modifies these associations.
Methods
We analyzed samples from 144 first-degree relatives (FDRs) of RA probands, of whom 23 were positive for anti-cyclic citrullinated peptide antibody and/or â„ 2 rheumatoid factor isotypes (IgM, IgG or IgA). We called this phenotype the âhigh risk autoantibody profile (HRP)â as it has been shown in prior work to be >96% specific for future RA. We measured adiponectin, cytokines, and high-sensitivity C-reactive protein (hsCRP). Using linear mixed effects models, we evaluated interaction between HRP positivity and adiponectin on inflammatory markers, adjusting for age, sex, ethnicity, body mass index, pack-years smoking, and use of cholesterol-lowering medications.
Results
In everyone, adiponectin concentration was inversely associated with hsCRP and IL-1ÎČ in adjusted models, where a 1% higher adiponectin was associated with a 26% lower hsCRP (p = 0.04) and a 26% lower IL-1ÎČ (p = 0.04). Significant interactions between HRP and adiponectin for associations with GM-CSF, IL-6, and IL-9 were detected in fully adjusted models (p = 0.0006, p = 0.006, p = 0.01, respectively). In HRP positive FDRs but not HRP negative FDRs, a 1% higher adiponectin was associated with 97% higher GM-CSF, 73% higher IL-6, and 54% higher IL-9 concentrations.
Conclusions
Adiponectin associates with inflammatory markers, and these associations differ in individuals with a high-risk autoantibody profile compared with those without. The interaction between adiponectin and autoimmunity warrants further investigation into the potential systemic effects of RA-related autoantibodies and adiponectin on inflammation in the absence of clinically apparent RA
Detection of a Thermal Spectral Component in the Prompt Emission of GRB 100724B
Observations of GRB 100724B with the Fermi Gamma-Ray Burst Monitor (GBM) find
that the spectrum is dominated by the typical Band functional form, which is
usually taken to represent a non-thermal emission component, but also includes
a statistically highly significant thermal spectral contribution. The
simultaneous observation of the thermal and non-thermal components allows us to
confidently identify the two emission components. The fact that these seem to
vary independently favors the idea that the thermal component is of
photospheric origin while the dominant non-thermal emission occurs at larger
radii. Our results imply either a very high efficiency for the non-thermal
process, or a very small size of the region at the base of the flow, both quite
challenging for the standard fireball model. These problems are resolved if the
jet is initially highly magnetized and has a substantial Poynting flux.Comment: 6 pages, 3 figures, 1 table, Accepted for publication in the
Astrophysical Journal Letters November, 23 2010 (Submitted October, 20 2010
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