5,099 research outputs found
Recommended from our members
Child and Youth Emergency Mental Health Care: A National Problem
This report reviews current practices for children, youth, and families visiting hospital emergency rooms for mental health conditions, and makes recommendations for policy actions to improve care and encourage more community-based services
Recommended from our members
Child and Youth Emergency Mental Health Care: A National Problem
This report reviews current practices for children, youth, and families visiting hospital emergency rooms for mental health conditions, and makes recommendations for policy actions to improve care and encourage more community-based services
Recommended from our members
Children's Mental Health: Facts for Policymakers
Mental health is a key component in a child’s healthy development. Children need to be healthy in order to learn, grow, and lead productive lives. There are effective treatments, services, and supports that can help children and youth with mental health problems and those at risk to thrive and live successfully. Most children and youth in need of mental health services do not receive them
Finding Person Relations in Image Data of the Internet Archive
The multimedia content in the World Wide Web is rapidly growing and contains
valuable information for many applications in different domains. For this
reason, the Internet Archive initiative has been gathering billions of
time-versioned web pages since the mid-nineties. However, the huge amount of
data is rarely labeled with appropriate metadata and automatic approaches are
required to enable semantic search. Normally, the textual content of the
Internet Archive is used to extract entities and their possible relations
across domains such as politics and entertainment, whereas image and video
content is usually neglected. In this paper, we introduce a system for person
recognition in image content of web news stored in the Internet Archive. Thus,
the system complements entity recognition in text and allows researchers and
analysts to track media coverage and relations of persons more precisely. Based
on a deep learning face recognition approach, we suggest a system that
automatically detects persons of interest and gathers sample material, which is
subsequently used to identify them in the image data of the Internet Archive.
We evaluate the performance of the face recognition system on an appropriate
standard benchmark dataset and demonstrate the feasibility of the approach with
two use cases
In the Interest of Everyone? Support for Social Movement Unionism among Union Officials in Quebec (Canada)
Using a mixed-method research design involving interviews and a survey, we examined how union officials in Quebec perceive social movement unionism (SMU). We show that union officials view SMU as a multifaceted phenomenon with ideal and pragmatic dimensions. They are torn between strong support for the ideals of SMU and a practical reluctance to use members’ dues to provide services to non-members. Experience with civil society organisations mitigates this tension, encouraging union officials to defend the interests of everyone not only as an ideal, but also as a strategy that allows unions to protect members and unrepresented workers.1. WITHIN AND BEYOND UNIONS: INTRODUCTION 2. ROOTS AND RAMIFICATIONS OF SMU: THEORETICAL FRAMEWORK 3. A MIXED-METHOD APPROACH APPLIED TO THE CASE OF QUEBEC TUs 4. SMU AS A MULTIDIMENSIONAL CONSTRUCT: AN EXPLORATIVE QUANTITATIVE ANALYSIS 5. IDEALLY INCLINED, PRAGMATICALLY RELUCTANT: DISCUSSION 6. IDEAL VERSUS PRAGMATIC TENSION IN SMU: DELVING DEEPER AND WIDER ACKNOWLEDGEMENTS Supporting Information REFERENCE
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Social-emotional Development in Early Childhood: What Every Policymaker Should Know
The early years of life present a unique opportunity to lay the foundation for healthy development. It is a time of great growth and of vulnerability. Research on early childhood has underscored the impact of the first five years of a child's life on his/her social-emotional development. Negative early experiences can impair children's mental health and effect their cognitive, behavioral, social-emotional development
On the Use of Wavelet Transform for Quench Precursors Characterisation in the LHC Superconducting Dipole Magnets
Premature training quenches are caused by transient energy released within the magnet coil while it is energized. Signals recorded across the so-called quench antenna carry information about these disturbances. A new method for identifying and characterizing those events is proposed, which applies the wavelet transform approach to the recorded signals. Such an approach takes into account the time of occurrence as well as frequency content of the events. The choice of the optimal mother wavelet is discussed, and the results obtained from the application of the method to actual signals are given. The criteria to recognize the interesting events are presented as well as the methodology to classify their global behavior
Crossing Over from Attractive to Repulsive Interactions in a Tunneling Bosonic Josephson Junction
We explore the interplay between tunneling and interatomic interactions in
the dynamics of a bosonic Josephson junction. We tune the scattering length of
an atomic K Bose-Einstein condensate confined in a double-well trap to
investigate regimes inaccessible to other superconducting or superfluid
systems. In the limit of small-amplitude oscillations, we study the transition
from Rabi to plasma oscillations by crossing over from attractive to repulsive
interatomic interactions. We observe a critical slowing down in the oscillation
frequency by increasing the strength of an attractive interaction up to the
point of a quantum phase transition. With sufficiently large initial
oscillation amplitude and repulsive interactions the system enters the
macroscopic quantum self-trapping regime, where we observe coherent undamped
oscillations with a self-sustained average imbalance of the relative well
population. The exquisite agreement between theory and experiments enables the
observation of a broad range of many body coherent dynamical regimes driven by
tunable tunneling energy, interactions and external forces, with applications
spanning from atomtronics to quantum metrology.Comment: 10 pages, 8 figures, supplemental materials are include
Low-resolution spectroscopy of the Sunyaev-Zel'dovich effect and estimates of cluster parameters
The Sunyaev-Zel'dovich (SZ) effect is a powerful tool for studying clusters
of galaxies and cosmology. Large mm-wave telescopes are now routinely detecting
and mapping the SZ effect in a number of clusters, measure their comptonisation
parameter and use them as probes of the large-scale structure and evolution of
the universe. We show that estimates of the physical parameters of clusters
(optical depth, plasma temperature, peculiar velocity, non-thermal components
etc.) obtained from ground-based multi-band SZ photometry can be significantly
biased, owing to the reduced frequency coverage, to the degeneracy between the
parameters and to the presence of a number of independent components larger
than the number of frequencies measured. We demonstrate that low-resolution
spectroscopic measurements of the SZ effect that also cover frequencies
GHz are effective in removing the degeneracy. We used accurate simulations of
observations with lines-of-sight through clusters of galaxies with different
experimental configurations (4-band photometers, 6-band photometer, multi-range
differential spectrometer, full coverage spectrometers) and different
intracluster plasma stratifications. We find that measurements carried out with
ground-based few-band photometers are biased towards high electron temperatures
and low optical depths, and require coverage of high frequency and/or
independent complementary observations to produce unbiased information; a
differential spectrometer that covers 4 bands with a resolution of $\sim 6 \
GHz$ eliminates most if not all bias; full-range differential spectrometers are
the ultimate resource that allows a full recovery of all parameters.Comment: in pres
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