805 research outputs found
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Comparing Speed of Provider Data Entry: Electronic Versus Paper Methods
Electronic health record (EHR) systems have significant potential advantages over traditional paper-based systems, but they require that providers assume responsibility for data entry. One significant barrier to adoption of EHRs is the perception of slowed data-entry by providers. This study compares the speed of data-entry using computer-based templates vs. paper for a large eye clinic, using 10 subjects and 10 simulated clinical scenarios. Dataentry into the EHR was significantly slower (p<0.01) than traditional paper forms
Recommended from our members
Comparing Speed of Provider Data Entry: Electronic Versus Paper Methods
Electronic health record (EHR) systems have significant potential advantages over traditional paper-based systems, but they require that providers assume responsibility for data entry. One significant barrier to adoption of EHRs is the perception of slowed data-entry by providers. This study compares the speed of data-entry using computer-based templates vs. paper for a large eye clinic, using 10 subjects and 10 simulated clinical scenarios. Dataentry into the EHR was significantly slower (p<0.01) than traditional paper forms
External-Memory Graph Algorithms
We present a collection of new techniques for designing and analyzing efficient external-memory algorithms for graph problems and illustrate how these techniques can be applied to a wide variety of specific problems. Our results include:
Proximate-neighboring. We present a simple
method for deriving external-memory lower bounds
via reductions from a problem we call the “proximate neighbors” problem. We use this technique to derive non-trivial lower bounds for such problems as list ranking, expression tree evaluation, and connected components. PRAM simulation. We give methods for efficiently
simulating PRAM computations in external memory, even for some cases in which the PRAM algorithm is not work-optimal. We apply this to derive a number of optimal (and simple) external-memory graph algorithms.
Time-forward processing. We present a general
technique for evaluating circuits (or “circuit-like”
computations) in external memory. We also usethis in a deterministic list ranking algorithm.
Deterministic 3-coloring of a cycle. We give
several optimal methods for 3-coloring a cycle,
which can be used as a subroutine for finding large
independent sets for list ranking. Our ideas go
beyond a straightforward PRAM simulation, and
may be of independent interest.
External depth-first search. We discuss a method
for performing depth first search and solving related
problems efficiently in external memory. Our
technique can be used in conjunction with ideas
due to Ullman and Yannakakis in order to solve
graph problems involving closed semi-ring computations even when their assumption that vertices fit in main memory does not hold.
Our techniques apply to a number of problems, including list ranking, which we discuss in detail, finding Euler tours, expression-tree evaluation, centroid decomposition of a tree, least-common ancestors, minimum spanning tree verification, connected and biconnected components, minimum spanning forest, ear decomposition, topological sorting, reachability, graph drawing, and visibility representation
Loss of cardiac microRNA-mediated regulation leads to dilated cardiomyopathy and heart failure
Rationale: Heart failure is a deadly and devastating disease that places immense costs on an aging society. To develop therapies aimed at rescuing the failing heart, it is important to understand the molecular mechanisms underlying cardiomyocyte structure and function.
Objective: microRNAs are important regulators of gene expression, and we sought to define the global contributions made by microRNAs toward maintaining cardiomyocyte integrity.
Methods and Results: First, we performed deep sequencing analysis to catalog the miRNA population in the adult heart. Second, we genetically deleted, in cardiac myocytes, an essential component of the machinery that is required to generate miRNAs. Deep sequencing of miRNAs from the heart revealed the enrichment of a small number of microRNAs with one, miR-1, accounting for 40% of all microRNAs. Cardiomyocyte-specific deletion of dgcr8, a gene required for microRNA biogenesis, revealed a fully penetrant phenotype that begins with left ventricular malfunction progressing to a dilated cardiomyopathy and premature lethality.
Conclusions: These observations reveal a critical role for microRNAs in maintaining cardiac function in mature cardiomyocytes and raise the possibility that only a handful of microRNAs may ultimately be responsible for the dramatic cardiac phenotype seen in the absence of dgcr8.National Institutes of Health (U.S.) (Grant R01 DK068348-04)Broad Institute of MIT and Harvard (SPARC Grant)National Institutes of Health (U.S.) (Grant NIH-HL52212)National Institutes of Health (U.S.) (Grant NIH RO1-HD0445022)National Institutes of Health (U.S.) (Grant NIH RO1-CA087869)National Institutes of Health (U.S.) (Grant NIH/NHLBI P01-HL066105)National Institutes of Health (U.S.) (Grant NIH R37-CA084198
On the Inconsistent Relationship between Pacific and Atlantic Niños
The tropical Atlantic wind response to El Niño forcing is robust, with weakened northeast trade winds north of the equator and strengthened southeast trade winds along and south of the equator. However, the relationship between sea surface temperature (SST) anomalies in the eastern equatorial Pacific and Atlantic is inconsistent, with El Niño events followed sometimes by warm and other times by cold boreal summer anomalies in the Atlantic cold tongue region. Using observational data and a hindcast simulation of the Nucleus for European Modeling of the Ocean (NEMO) global model at 0.5° resolution (NEMO-ORCA05), this inconsistent SST relationship is shown to be at least partly attributable to a delayed negative feedback in the tropical Atlantic that is active in years with a warm or neutral response in the eastern equatorial Atlantic. In these years, the boreal spring warming in the northern tropical Atlantic that is a typical response to El Niño is pronounced, setting up a strong meridional SST gradient. This leads to a negative wind stress curl anomaly to the north of the equator that generates downwelling Rossby waves. When these waves reach the western boundary, they are reflected into downwelling equatorial Kelvin waves that reach the cold tongue region in late boreal summer to counteract the initial cooling that is due to the boreal winter wind stress response to El Niño. In contrast, this initial cooling persists or is amplified in years in which the boreal spring northern tropical Atlantic warming is weak or absent either because of a positive North Atlantic Oscillation (NAO) phase or an early termination of the Pacific El Niño event
A generalized framework to predict continuous scores from medical ordinal labels
Many variables of interest in clinical medicine, like disease severity, are
recorded using discrete ordinal categories such as normal/mild/moderate/severe.
These labels are used to train and evaluate disease severity prediction models.
However, ordinal categories represent a simplification of an underlying
continuous severity spectrum. Using continuous scores instead of ordinal
categories is more sensitive to detecting small changes in disease severity
over time. Here, we present a generalized framework that accurately predicts
continuously valued variables using only discrete ordinal labels during model
development. We found that for three clinical prediction tasks, models that
take the ordinal relationship of the training labels into account outperformed
conventional multi-class classification models. Particularly the continuous
scores generated by ordinal classification and regression models showed a
significantly higher correlation with expert rankings of disease severity and
lower mean squared errors compared to the multi-class classification models.
Furthermore, the use of MC dropout significantly improved the ability of all
evaluated deep learning approaches to predict continuously valued scores that
truthfully reflect the underlying continuous target variable. We showed that
accurate continuously valued predictions can be generated even if the model
development only involves discrete ordinal labels. The novel framework has been
validated on three different clinical prediction tasks and has proven to bridge
the gap between discrete ordinal labels and the underlying continuously valued
variables
Charmless decays using flavor SU(3) symmetry
The decays of mesons to a pair of charmless pseudoscalar () mesons are
analyzed within a framework of flavor SU(3). Symmetry breaking is taken into
account in tree () amplitudes through ratios of decay constants; exact SU(3)
is assumed elsewhere. Acceptable fits to and
branching ratios and CP asymmetries are obtained with tree, color-suppressed
(), penguin (), and electroweak penguin () amplitudes. Crucial
additional terms for describing processes involving and include
a large flavor-singlet penguin amplitude () as proposed earlier and a
penguin amplitude associated with intermediate and quarks. For
the mode a term associated with intermediate
and quarks also may be needed. Values of the weak phase are
obtained consistent with an earlier analysis of decays, where
denotes a vector meson, and with other analyses of CKM parameters.Comment: 26 pages, 1 figure. To be submitted to Phys. Rev. D. Reference
update
Baryon Washout, Electroweak Phase Transition, and Perturbation Theory
We analyze the conventional perturbative treatment of sphaleron-induced
baryon number washout relevant for electroweak baryogenesis and show that it is
not gauge-independent due to the failure of consistently implementing the
Nielsen identities order-by-order in perturbation theory. We provide a
gauge-independent criterion for baryon number preservation in place of the
conventional (gauge-dependent) criterion needed for successful electroweak
baryogenesis. We also review the arguments leading to the preservation
criterion and analyze several sources of theoretical uncertainties in obtaining
a numerical bound. In various beyond the standard model scenarios, a realistic
perturbative treatment will likely require knowledge of the complete two-loop
finite temperature effective potential and the one-loop sphaleron rate.Comment: 25 pages, 9 figures; v2 minor typos correcte
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