566 research outputs found
Velocity-selected molecular pulses produced by an electric guide
Electrostatic velocity filtering is a technique for the production of
continuous guided beams of slow polar molecules from a thermal gas. We extended
this technique to produce pulses of slow molecules with a narrow velocity
distribution around a tunable velocity. The pulses are generated by
sequentially switching the voltages on adjacent segments of an electric
quadrupole guide synchronously with the molecules propagating at the desired
velocity. This technique is demonstrated for deuterated ammonia (ND),
delivering pulses with a velocity in the range of and a
relative velocity spread of at FWHM. At velocities around
, the pulses contain up to molecules each. The data are
well reproduced by Monte-Carlo simulations, which provide useful insight into
the mechanisms of velocity selection.Comment: 8 pages, 6 figure
Referral patterns of children with poor growth in primary health care
Background. To promote early diagnosis and treatment of short stature, consensus meetings were held in the mid nineteen nineties in the Netherlands and the UK. This resulted in guidelines for referral. In this study we evaluate the referral pattern of short stature in primary health care using these guidelines, comparing it with cut-off values mentioned by the WHO. Methods. Three sets of referral rules were tested on the
Multiple Imputation Ensembles (MIE) for dealing with missing data
Missing data is a significant issue in many real-world datasets, yet there are no robust methods for dealing with it appropriately. In this paper, we propose a robust approach to dealing with missing data in classification problems: Multiple Imputation Ensembles (MIE). Our method integrates two approaches: multiple imputation and ensemble methods and compares two types of ensembles: bagging and stacking. We also propose a robust experimental set-up using 20 benchmark datasets from the UCI machine learning repository. For each dataset, we introduce increasing amounts of data Missing Completely at Random. Firstly, we use a number of single/multiple imputation methods to recover the missing values and then ensemble a number of different classifiers built on the imputed data. We assess the quality of the imputation by using dissimilarity measures. We also evaluate the MIE performance by comparing classification accuracy on the complete and imputed data. Furthermore, we use the accuracy of simple imputation as a benchmark for comparison. We find that our proposed approach combining multiple imputation with ensemble techniques outperform others, particularly as missing data increases
The Social Production of Invited Spaces: Toward an Understanding of the Invitational Character of Spaces for Citizens’ Initiatives
The rise of citizens’ initiatives is changing the relation between governments and citizens. This paper contributes to the discussion of how governments can productively relate to these self-organizing citizens. The study analyzes the relation between the social production of invited spaces and the invitational character of such spaces, as perceived by governments and citizens. Invited spaces are the (institutional, legal, organizational, political and policy) spaces that are created by governments for citizens to take on initiatives to create public value. We characterize four types of invited spaces and compare four cases in Dutch planning to analyze how these types of invited spaces are perceived as invitational. From the analysis, we draw specific lessons for governments that want to stimulate citizens’ initiatives. We conclude with a general insight for public administration scholars; in addition to formal rules and structures, scholars should pay more attention to interactions, attitudes and meaning making of both government officials and citizens
Teamwork Quality and Team Performance: Exploring Differences Between Small and Large Agile Projects
Agile principles were originally developed for small projects but are now widely used in larger projects with hundreds of developers. Teamwork quality is essential in any development work, but how does teamwork quality differ in small and large agile projects? We report from an explorative survey with 64 agile teams and 320 team members and team leaders, from 31 teams in small projects and 33 teams in large projects. For small projects, teamwork quality was considered by both team members and team leaders to primarily affect product quality. For large projects, the effect of teamwork quality on product quality was positive when it was rated by team members but was negative when rated by team leaders. At a finer granularity, the six dimensions of teamwork quality that we investigated affected team performance differently in small and large projects. These findings question to what extent findings from previous studies on teamwork in agile development in small projects apply to large projects.publishedVersio
Cold heteromolecular dipolar collisions
We present the first experimental observation of cold collisions between two
different species of neutral polar molecules, each prepared in a single
internal quantum state. Combining for the first time the techniques of Stark
deceleration, magnetic trapping, and cryogenic buffer gas cooling allows the
enhancement of molecular interaction time by 10. This has enabled an
absolute measurement of the total trap loss cross sections between OH and
ND at a mean collision energy of 3.6 cm (5 K). Due to the dipolar
interaction, the total cross section increases upon application of an external
polarizing electric field. Cross sections computed from \emph{ab initio}
potential energy surfaces are in excellent agreement with the measured value at
zero external electric field. The theory presented here represents the first
such analysis of collisions between a radical and a closed-shell
polyatomic molecule.Comment: 7 pages, 5 figure
Variable selection under multiple imputation using the bootstrap in a prognostic study
Background: Missing data is a challenging problem in many prognostic studies. Multiple imputation
(MI) accounts for imputation uncertainty that allows for adequate statistical testing. We developed
and tested a methodology combining MI with bootstrapping techniques for studying prognostic
variable selection.
Method: In our prospective cohort study we merged data from three different randomized
controlled trials (RCTs) to assess prognostic variables for chronicity of low back pain. Among the
outcome and prognostic variables data were missing in the range of 0 and 48.1%. We used four
methods to investigate the influence of respectively sampling and imputation variation: MI only,
bootstrap only, and two methods that combine MI and bootstrapping. Variables were selected
based on the inclusion frequency of each prognostic variable, i.e. the proportion of times that the
variable appeared in the model. The discriminative and calibrative abilities of prognostic models
developed by the four methods were assessed at different inclusion levels.
Results: We found that the effect of imputation variation on the inclusion frequency was larger
than the effect of sampling variation. When MI and bootstrapping were combined at the range of
0% (full model) to 90% of variable selection, bootstrap corrected c-index values of 0.70 to 0.71 and
slope values of 0.64 to 0.86 were found.
Conclusion: We recommend to account for both imputation and sampling variation in sets of
missing data. The new procedure of combining MI with bootstrapping for variable selection, results
in multivariable prognostic models with good performance and is therefore attractive to apply on
data sets with missing values
A pseudopotential study of electron-hole excitations in colloidal, free-standing InAs quantum dots
Excitonic spectra are calculated for free-standing, surface passivated InAs
quantum dots using atomic pseudopotentials for the single-particle states and
screened Coulomb interactions for the two-body terms. We present an analysis of
the single particle states involved in each excitation in terms of their
angular momenta and Bloch-wave parentage. We find that (i) in agreement with
other pseudopotential studies of CdSe and InP quantum dots, but in contrast to
k.p calculations, dot states wavefunction exhibit strong odd-even angular
momentum envelope function mixing (e.g. with ) and large
valence-conduction coupling. (ii) While the pseudopotential approach produced
very good agreement with experiment for free-standing, colloidal CdSe and InP
dots, and for self-assembled (GaAs-embedded) InAs dots, here the predicted
spectrum does {\em not} agree well with the measured (ensemble average over dot
sizes) spectra. (1) Our calculated excitonic gap is larger than the PL measure
one, and (2) while the spacing between the lowest excitons is reproduced, the
spacings between higher excitons is not fit well. Discrepancy (1) could result
from surface states emission. As for (2), agreement is improved when account is
taken of the finite size distribution in the experimental data. (iii) We find
that the single particle gap scales as (not ), that the
screened (unscreened) electron-hole Coulomb interaction scales as
(), and that the eccitonic gap sclaes as . These scaling
laws are different from those expected from simple models.Comment: 12 postscript figure
Sisyphus Cooling of Electrically Trapped Polyatomic Molecules
The rich internal structure and long-range dipole-dipole interactions
establish polar molecules as unique instruments for quantum-controlled
applications and fundamental investigations. Their potential fully unfolds at
ultracold temperatures, where a plethora of effects is predicted in many-body
physics, quantum information science, ultracold chemistry, and physics beyond
the standard model. These objectives have inspired the development of a wide
range of methods to produce cold molecular ensembles. However, cooling
polyatomic molecules to ultracold temperatures has until now seemed
intractable. Here we report on the experimental realization of opto-electrical
cooling, a paradigm-changing cooling and accumulation method for polar
molecules. Its key attribute is the removal of a large fraction of a molecule's
kinetic energy in each step of the cooling cycle via a Sisyphus effect,
allowing cooling with only few dissipative decay processes. We demonstrate its
potential by reducing the temperature of about 10^6 trapped CH_3F molecules by
a factor of 13.5, with the phase-space density increased by a factor of 29 or a
factor of 70 discounting trap losses. In contrast to other cooling mechanisms,
our scheme proceeds in a trap, cools in all three dimensions, and works for a
large variety of polar molecules. With no fundamental temperature limit
anticipated down to the photon-recoil temperature in the nanokelvin range, our
method eliminates the primary hurdle in producing ultracold polyatomic
molecules. The low temperatures, large molecule numbers and long trapping times
up to 27 s will allow an interaction-dominated regime to be attained, enabling
collision studies and investigation of evaporative cooling toward a BEC of
polyatomic molecules
Spin-Momentum Correlations in Quasi-Elastic Electron Scattering from Deuterium
We report on a measurement of spin-momentum correlations in quasi-elastic
scattering of longitudinally polarized electrons with an energy of 720 MeV from
vector-polarized deuterium. The spin correlation parameter was
measured for the reaction for missing
momenta up to 350 MeV/ at a four-momentum transfer squared of 0.21
(GeV/c). The data give detailed information about the spin structure of the
deuteron, and are in good agreement with the predictions of microscopic
calculations based on realistic nucleon-nucleon potentials and including
various spin-dependent reaction mechanism effects. The experiment demonstrates
in a most direct manner the effects of the D-state in the deuteron ground-state
wave function and shows the importance of isobar configurations for this
reaction.Comment: 4 pages, 3 figures, submitted to Phys. Rev. Lett. for publicatio
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