725 research outputs found
The effects of a free exercise course upon the kinesthetic sense of the limbs
The purpose of this study was to determine the effects of a free exercise course upon the kinesthetic sense of the limbs. A secondary purpose was to determine a possible relationship between the kinesthetic sense of the limbs and free exercise ability. Two female groups, ranging between the ages of twelve and fourteen were selected from The Curry School, Greensboro, North Carolina. The control group, consisting of ten students and the experimental group consisting seven students were pretested and posttested for kinesthetic sense of the limbs. In addition, the experimental group was rated for free exercise ability after ten hourly lessons in free exercise
Nurses\u27 Alumnae Association Bulletin, May 1960
Accreditation of Programs in Nursing
Alumnae Meetings, 1959
Committee Reports
Greetings from the President
Highlights from first issue of Alumnae Bulletin
Living in the new nurses residence
Lost Members
Marriages
Necrology
New Arrivals
Notices
Personal Items of Interest
Report of the School of Nursing and Nursing Services
Staff Nurses Association
Student Activities
Year of tremendous growth and expansio
Motor Sequence Learning Deficits in Idiopathic Parkinson’s Disease Are Associated With Increased Substantia Nigra Activity
Previous studies have shown that persons with Parkinson’s disease (pwPD) share
specific deficits in learning new sequential movements, but the neural substrates of
this impairment remain unclear. In addition, the degree to which striatal dopaminergic
denervation in PD affects the cortico-striato-thalamo-cerebellar motor learning network
remains unknown. We aimed to answer these questions using fMRI in 16 pwPD and 16
healthy age-matched control subjects while they performed an implicit motor sequence
learning task. While learning was absent in both pwPD and controls assessed with
reaction time differences between sequential and random trials, larger error-rates during
the latter suggest that at least some of the complex sequence was encoded. Moreover,
we found that while healthy controls could improve general task performance indexed
by decreased reaction times across both sequence and random blocks, pwPD could
not, suggesting disease-specific deficits in learning of stimulus-response associations.
Using fMRI, we found that this effect in pwPD was correlated with decreased activity
in the hippocampus over time. Importantly, activity in the substantia nigra (SN) and
adjacent bilateral midbrain was specifically increased during sequence learning in
pwPD compared to healthy controls, and significantly correlated with sequence-specific
learning deficits. As increased SN activity was also associated (on trend) with higher
doses of dopaminergic medication as well as disease duration, the results suggest that
learning deficits in PD are associated with disease progression, indexing an increased
drive to recruit dopaminergic neurons in the SN, however, unsuccessfully. Finally, there
were no differences between pwPD and controls in task modulation of the cortico-striato-thalamo-cerebellar network. However, a restricted nigral-striatal model showed
that negative modulation of SN to putamen connection was larger in pwPD compared
to controls during random trials, while no differences between the groups were found
during sequence learning. We speculate that learning-specific SN recruitment leads to a
relative increase in SN- > putamen connectivity, which returns to a pathological reduced
state when no learning takes plac
Deep Multi-object Spectroscopy to Enhance Dark Energy Science from LSST
Community access to deep (i ~ 25), highly-multiplexed optical and
near-infrared multi-object spectroscopy (MOS) on 8-40m telescopes would greatly
improve measurements of cosmological parameters from LSST. The largest gain
would come from improvements to LSST photometric redshifts, which are employed
directly or indirectly for every major LSST cosmological probe; deep
spectroscopic datasets will enable reduced uncertainties in the redshifts of
individual objects via optimized training. Such spectroscopy will also
determine the relationship of galaxy SEDs to their environments, key
observables for studies of galaxy evolution. The resulting data will also
constrain the impact of blending on photo-z's. Focused spectroscopic campaigns
can also improve weak lensing cosmology by constraining the intrinsic
alignments between the orientations of galaxies. Galaxy cluster studies can be
enhanced by measuring motions of galaxies in and around clusters and by testing
photo-z performance in regions of high density. Photometric redshift and
intrinsic alignment studies are best-suited to instruments on large-aperture
telescopes with wider fields of view (e.g., Subaru/PFS, MSE, or GMT/MANIFEST)
but cluster investigations can be pursued with smaller-field instruments (e.g.,
Gemini/GMOS, Keck/DEIMOS, or TMT/WFOS), so deep MOS work can be distributed
amongst a variety of telescopes. However, community access to large amounts of
nights for surveys will still be needed to accomplish this work. In two
companion white papers we present gains from shallower, wide-area MOS and from
single-target imaging and spectroscopy.Comment: Science white paper submitted to the Astro2020 decadal survey. A
table of time requirements is available at
http://d-scholarship.pitt.edu/36036
Combining Citizen Science and Genomics to Investigate Tick, Pathogen, and Commensal Microbiome at Single-Tick Resolution
The prevalence of tickborne diseases worldwide is increasing virtually unchecked due to the lack of effective control strategies. The transmission dynamics of tickborne pathogens are influenced by the tick microbiome, tick co-infection with other pathogens, and environmental features. Understanding this complex system could lead to new strategies for pathogen control, but will require large-scale, high-resolution data. Here, we introduce Project Acari, a citizen science-based project to assay, at single-tick resolution, species, pathogen infection status, microbiome profile, and environmental conditions of tens of thousands of ticks collected from numerous sites across the United States. In the first phase of the project, we collected more than 2,400 ticks wild-caught by citizen scientists and developed high-throughput methods to process and sequence them individually. Applying these methods to 192 Ixodes scapularis ticks collected in a region with a high incidence of Lyme disease, we found that 62% were colonized by Borrelia burgdorferi, the Lyme disease pathogen. In contrast to previous reports, we did not find an association between the microbiome diversity of a tick and its probability of carrying B. burgdorferi. However, we did find undescribed associations between B. burgdorferi carriage and the presence of specific microbial taxa within individual ticks. Our findings underscore the power of coupling citizen science with high-throughput processing to reveal pathogen dynamics. Our approach can be extended for massively parallel screening of individual ticks, offering a powerful tool to elucidate the ecology of tickborne disease and to guide pathogen-control initiatives
Non-negative data-driven mapping of structural connections with application to the neonatal brain
© 2020 Mapping connections in the neonatal brain can provide insight into the crucial early stages of neurodevelopment that shape brain organisation and lay the foundations for cognition and behaviour. Diffusion MRI and tractography provide unique opportunities for such explorations, through estimation of white matter bundles and brain connectivity. Atlas-based tractography protocols, i.e. a priori defined sets of masks and logical operations in a template space, have been commonly used in the adult brain to drive such explorations. However, rapid growth and maturation of the brain during early development make it challenging to ensure correspondence and validity of such atlas-based tractography approaches in the developing brain. An alternative can be provided by data-driven methods, which do not depend on predefined regions of interest. Here, we develop a novel data-driven framework to extract white matter bundles and their associated grey matter networks from neonatal tractography data, based on non-negative matrix factorisation that is inherently suited to the non-negative nature of structural connectivity data. We also develop a non-negative dual regression framework to map group-level components to individual subjects. Using in-silico simulations, we evaluate the accuracy of our approach in extracting connectivity components and compare with an alternative data-driven method, independent component analysis. We apply non-negative matrix factorisation to whole-brain connectivity obtained from publicly available datasets from the Developing Human Connectome Project, yielding grey matter components and their corresponding white matter bundles. We assess the validity and interpretability of these components against traditional tractography results and grey matter networks obtained from resting-state fMRI in the same subjects. We subsequently use them to generate a parcellation of the neonatal cortex using data from 323 new-born babies and we assess the robustness and reproducibility of this connectivity-driven parcellation
The Lick AGN Monitoring Project 2011: Dynamical Modeling of the Broad-Line Region
We present models of the H-emitting broad-line region (BLR) in seven
Seyfert 1 galaxies from the Lick AGN (Active Galactic Nucleus) Monitoring
Project 2011 sample, drawing inferences on the BLR structure and dynamics as
well as the mass of the central supermassive black hole. We find that the BLR
is generally a thick disk, viewed close to face-on, with preferential emission
back toward the ionizing source. The dynamics in our sample range from
near-circular elliptical orbits to inflowing or outflowing trajectories. We
measure black hole masses of for PG 1310108, for Mrk 50,
for Mrk 141, for Mrk 279,
for Mrk 1511, for NGC 4593, and
for Zw 229015. We use these black hole mass
measurements along with cross-correlation time lags and line widths to recover
the scale factor used in traditional reverberation mapping measurements.
Combining our results with other studies that use this modeling technique,
bringing our sample size to 16, we calculate a scale factor that can be used
for measuring black hole masses in other reverberation mapping campaigns. When
using the root-mean-square (rms) spectrum and using the line dispersion to
measure the line width, we find . Finally, we search for correlations between and other AGN
and BLR parameters and find marginal evidence that is correlated with
and the BLR inclination angle, but no significant evidence of a
correlation with the AGN luminosity or Eddington ratio.Comment: 26 pages, 14 figures. Accepted for publication in Ap
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