1,183 research outputs found
Classifying the Arithmetical Complexity of Teaching Models
This paper classifies the complexity of various teaching models by their
position in the arithmetical hierarchy. In particular, we determine the
arithmetical complexity of the index sets of the following classes: (1) the
class of uniformly r.e. families with finite teaching dimension, and (2) the
class of uniformly r.e. families with finite positive recursive teaching
dimension witnessed by a uniformly r.e. teaching sequence. We also derive the
arithmetical complexity of several other decision problems in teaching, such as
the problem of deciding, given an effective coding of all uniformly r.e. families, any such that
, any and , whether or not the
teaching dimension of with respect to is upper bounded
by .Comment: 15 pages in International Conference on Algorithmic Learning Theory,
201
Informal Action—Adjudication—Rule Making: Some Recent Developments in Federal Administrative Law
Direct energy consumption of ICT hardware is only “half the story.” In order to get the “whole story,” energy consumption during the entire life cycle has to be taken into account. This chapter is a first step toward a more comprehensive picture, showing the “grey energy” (i.e., the overall energy requirements) as well as the releases (into air, water, and soil) during the entire life cycle of exemplary ICT hardware devices by applying the life cycle assessment method. The examples calculated show that a focus on direct energy consumption alone fails to take account of relevant parts of the total energy consumption of ICT hardware as well as the relevance of the production phase. As a general tendency, the production phase is more and more important the smaller (and the more energy-efficient) the devices are. When in use, a tablet computer is much more energy-efficient than a desktop computer system with its various components, so its production phase has a much greater relative importance. Accordingly, the impacts due to data transfer when using Internet services are also increasingly relevant the smaller the end-user device is, reaching up to more than 90 % of the overall impact when using a tablet computer.QC 20140825</p
A Map of Update Constraints in Inductive Inference
We investigate how different learning restrictions reduce learning power and
how the different restrictions relate to one another. We give a complete map
for nine different restrictions both for the cases of complete information
learning and set-driven learning. This completes the picture for these
well-studied \emph{delayable} learning restrictions. A further insight is
gained by different characterizations of \emph{conservative} learning in terms
of variants of \emph{cautious} learning.
Our analyses greatly benefit from general theorems we give, for example
showing that learners with exclusively delayable restrictions can always be
assumed total.Comment: fixed a mistake in Theorem 21, result is the sam
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Sand waves in a pristine estuary
The stochastic and the Fourier theories for sand waves developed
by Lee(11) and Hino(6), respectively, for unidirectional flows are
extended in order to estimate the rate of sediment turnover (RST) under
oscillatory flows in the South Slough estuary, Coos Bay, Oregon. Data
were collected by a mechanical and a sonic profiler. Histograms are
given for the distributions of the elevations of deposition and erosion
for sand wave data measured by the mechanical profiler. It may be
observed from these distributions that the Gaussian assumption required
for the application of the stochastic theory is not satisfied. The
parameters for the step length distribution are estimated for only one
elevation of deposition and erosion and the theoretical Gamma distribution
is computed. Wave number amplitude spectra are estimated from
the sonic profiler sand wave data. The maximum amplitude in the sand
waves which were measured in the South Slough estuary lie in the
fundamental harmonic component; while for the Coos Bay main channel,
the spectral amplitudes for the sand waves are dispersed over a wider
band of wave numbers. Due to the weak hydrodynamic influence, the sand
waves in the South Slough estuary are still in the initial stage of
their growth and it may not be possible to estimate RST in the South
Slough estuary by the stochastic method outlined by Lee(11). Due to the
strong tidal influence and/or ship disturbances, the sand wave spectral
amplitudes are well dispersed for the Coos Bay main channel data and it
is possible to estimate the RST in the main channel from a wave number
spectrum using a transformation between wave numbers and wave
frequencies
Assessment methods and resource requirements for milestone reporting by an emergency medicine clinical competency committee.
BACKGROUND: The Accreditation Council for Graduate Medical Education (ACGME) introduced milestones for Emergency Medicine (EM) in 2012. Clinical Competency Committees (CCC) are tasked with assessing residents on milestones and reporting them to the ACGME. Appropriate workflows for CCCs are not well defined.
OBJECTIVE: Our objective was to compare different approaches to milestone assessment by a CCC, quantify resource requirements for each and to identify the most efficient workflow.
DESIGN: Three distinct processes for rendering milestone assessments were compared: Full milestone assessments (FMA) utilizing all available resident assessment data, Ad-hoc milestone assessments (AMA) created by multiple expert educators using their personal assessment of resident performance, Self-assessments (SMA) completed by residents. FMA were selected as the theoretical gold standard. Intraclass correlation coefficients were used to analyze for agreement between different assessment methods. Kendall\u27s coefficient was used to assess the inter-rater agreement for the AMA.
RESULTS: All 13 second-year residents and 7 educational faculty of an urban EM Residency Program participated in the study in 2013. Substantial or better agreement between FMA and AMA was seen for 8 of the 23 total subcompetencies (PC4, PC8, PC9, PC11, MK, PROF2, ICS2, SBP2), and for 1 subcompetency (SBP1) between FMA and SMA. Multiple AMA for individual residents demonstrated substantial or better interobserver agreement in 3 subcompetencies (PC1, PC2, and PROF2). FMA took longer to complete compared to AMA (80.9 vs. 5.3 min, p \u3c 0.001).
CONCLUSIONS: Using AMA to evaluate residents on the milestones takes significantly less time than FMA. However, AMA and SMA agree with FMA on only 8 and 1 subcompetencies, respectively. An estimated 23.5 h of faculty time are required each month to fulfill the requirement for semiannual reporting for a residency with 42 trainees
Visualization of mixed convection flows in vertical, horizontal, and inclined pipes
Paper presented at the 9th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Malta, 16-18 July, 2012.An experimental apparatus for visualization of laminar mixed convection flows in vertical, horizontal, and inclined pipes is described. Two key elements of its design allowed, for the first time, flow visualization over the entire heated portion of the test section: a thin, electrically conductive, gold-film heater, suitably attached to the outside surface of a Plexiglas pipe, and about 80% transparent to light; and enclosure of this pipe within a larger concentric Plexiglas tube, and evacuation of the air in the annular space to achieve an essentially transparent and excellent insulation of the heated portion of the inner pipe. A dye injection technique was used to visualize the mixed-convection flow patterns. The flow-visualization photographs revealed the following: (i) a steady recirculating flow pattern which was followed by laminar flow instability in the vertical tubes; and (ii) dual, essentially symmetric, and steady spiralling flow patterns in the inclined and horizontal tubes. Some of these results were qualitatively similar to earlier numerical predictions in the published literature. The results are presented and discussed in this paper.dc201
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