The descriptive epidemiology of DSM-IV Adult ADHD in the World Health Organization World Mental Health Surveys

We previously reported on the cross-national epidemiology of ADHD from the first 10 countries in the WHO World Mental Health (WMH) Surveys. The current report expands those previous findings to the 20 nationally or regionally representative WMH surveys that have now collected data on adult ADHD. The Composite International Diagnostic Interview (CIDI) was administered to 26,744 respondents in these surveys in high-, upper-middle-, and low-/lower-middle-income countries (68.5% mean response rate). Current DSM-IV/CIDI adult ADHD prevalence averaged 2.8% across surveys and was higher in high (3.6%)- and upper-middle (3.0%)- than low-/lower-middle (1.4%)-income countries. Conditional prevalence of current ADHD averaged 57.0% among childhood cases and 41.1% among childhood subthreshold cases. Adult ADHD was significantly related to being male, previously married, and low education. Adult ADHD was highly comorbid with DSM-IV/CIDI anxiety, mood, behavior, and substance disorders and significantly associated with role impairments (days out of role, impaired cognition, and social interactions) when controlling for comorbidities. Treatment seeking was low in all countries and targeted largely to comorbid conditions rather than to ADHD. These results show that adult ADHD is prevalent, seriously impairing, and highly comorbid but vastly under-recognized and undertreated across countries and cultures

Interregional Differences in Agricultural Development across Circumpolar Canada

In response to the circumpolar region’s high levels of food insecurity, many Canadian communities have identified the development of local agriculture as a means to resolve the issue. Agricultural development is varied across the circumpolar region, an area which includes Yukon, the Northwest Territories, Nunavut, Nunavik (Quebec), and Nunatsiavut (Newfoundland and Labrador). This review explores the interregional differences in circumpolar agriculture, their historical development, and their relationship to prevailing biophysical, socioeconomic, and political conditions. Drawing upon local food strategies and literature pertaining to current agricultural initiatives, we discuss the future direction of circumpolar agriculture in Canada. Yukon and the Northwest Territories are the most agriculturally developed subregions of circumpolar Canada, and their territorial governments support the development of commercial agriculture. In Nunavut, Nunavik, and Nunatsiavut, relatively few agricultural initiatives are underway although local efforts have been made to establish community gardens or greenhouses and improve access to fresh commodities through subsidization of imported goods. Because of variability in biophysical, social, institutional, and political environments, strategies for food production would be most effective if tailored to each subregion. The continued development of agriculturally favorable policies and certified processing facilities in Yukon and the Northwest Territories could improve market access, both locally and out-of-territory. The eastern subregions (Nunavut, Nunavik, and Nunatsiavut) seem more inclined towards small, community-driven projects; these initiatives could be promoted to encourage community involvement for their long-term sustainability. Most studies on circumpolar agriculture have focused on the biophysical and social challenges; the region would benefit from additional research into the institutional and political barriers to agricultural development. En réponse aux degrés d’insécurité alimentaire élevés dans la région circumpolaire, de nombreuses communautés canadiennes estiment que le développement de l’agriculture locale constitue un moyen de surmonter cet enjeu. Le développement agricole prend plusieurs formes dans la région circumpolaire, région qui comprend le Yukon, les Territoires du Nord-Ouest, le Nunavut, le Nunavik (Québec) et le Nunatsiavut (Terre-Neuve-et-Labrador). Dans cet article, nous explorons les différences interrégionales en matière d’agriculture circumpolaire, leur développement historique et leur lien avec les conditions biophysiques, socioéconomiques et politiques qui ont cours dans les diverses régions. Nous nous appuyons sur les stratégies alimentaires locales et sur la documentation concernant les initiatives agricoles actuelles pour discuter de l’orientation future de l’agriculture circumpolaire au Canada. Du point de vue agricole, le Yukon et les Territoires du Nord-Ouest sont les sous-régions les plus développées de la région circumpolaire du Canada, et les gouvernements de ces territoires soutiennent le développement de l’agriculture commerciale. Au Nunavut, au Nunavik et au Nunatsiavut, relativement peu d’initiatives agricoles sont en cours, bien que des efforts aient été déployés à l’échelle locale pour établir des jardins ou des serres communautaires et pour améliorer l’accès aux produits frais grâce à la subvention de produits importés. En raison de la variabilité des environnements biophysiques, sociaux, institutionnels et politiques, les stratégies de production alimentaire donneraient de meilleurs résultats si elles étaient adaptées à chaque sous-région. Le développement continu de politiques agricoles favorables et d’installations de transformation homologuées au Yukon et dans les Territoires du Nord-Ouest pourrait améliorer l’accès aux marchés, tant à l’échelle locale qu’à l’extérieur des territoires. Les sous-régions de l’est (Nunavut, Nunavik et Nunatsiavut) ont davantage tendance à préconiser de petits projets communautaires. Les initiatives de ce genre pourraient être facilitées pour inciter les communautés à jouer un rôle dans leur durabilité à long terme. La plupart des études sur l’agriculture circumpolaire portent sur les défis biophysiques et sociaux. La région pourrait bénéficier de recherches plus approfondies au sujet des obstacles institutionnels et politiques du développement agricole.

Overview and Status of the Long-Baseline Neutrino Facility Cryogenics System

The Sanford Underground Research Facility (SURF) will host the Deep Underground Neutrino Experiment (DUNE), an international multi-kiloton Long-Baseline neutrino experiment that will be installed about a mile underground in Lead, SD. Detectors will be located inside four cryostats filled with almost 70,000 ton of ultrapure liquid argon, with a level of impurities lower than 100 parts per trillion of oxygen equivalent contamination. The Long-Baseline Neutrino Facility (LBNF) provides the conventional facilities and cryogenics infrastructure supporting this experiment. The cryogenics system supplies and maintains the argon needed for DUNE, as it enables the study of neutrinos from a new and improved beamline from Fermilab, as well as the dynamics of supernovae and the possibility of proton decay. This contribution describes the main features, performance, functional requirements and modes of operations of the LBNF cryogenics system. It also details its current status, present and future needs to support the DUNE experiment

Overview of the Long-Baseline Neutrino Facility cryogenic system

The Deep Underground Neutrino Experiment (DUNE) collaboration is developing a multi-kiloton Long-Baseline neutrino experiment that will be located one mile underground at the Sanford Underground Research Facility (SURF) in Lead, SD. In the present design, detectors will be located inside four cryostats filled with a total of 68,400 ton of ultrapure liquid argon, at the level of impurities lower than 100 parts per trillion of oxygen equivalent contamination. The Long-Baseline Neutrino Facility (LBNF) is developing the conventional facilities and cryogenics infrastructure supporting this experiment. The cryogenics system is composed of several sub-systems: External/Infrastructure, Proximity, and Internal cryogenics. It will be engineered, manufactured, commissioned, and qualified by an international engineering team. This contribution highlights the main features of the LBNF cryogenic system. It presents its performance, functional requirements and modes of operations. It also details the status of the design, present and future needs

Summary of the second workshop on liquid argon time projection chamber research and development in the United States

The second workshop to discuss the development of liquid argon time projection chambers (LArTPCs) in the United States was held at Fermilab on July 8-9, 2014. The workshop was organized under the auspices of the Coordinating Panel for Advanced Detectors, a body that was initiated by the American Physical Society Division of Particles and Fields. All presentations at the workshop were made in six topical plenary sessions: i) Argon Purity and Cryogenics, ii) TPC and High Voltage, iii) Electronics, Data Acquisition and Triggering, iv) Scintillation Light Detection, v) Calibration and Test Beams, and vi) Software. This document summarizes the current efforts in each of these areas. It primarily focuses on the work in the US, but also highlights work done elsewhere in the world.ISSN:1748-022

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype.ISSN:1748-022

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation.ISSN:1434-6044ISSN:1434-605

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation