The Substance Abuse Treatment Workforce of South Africa

The purpose of this paper is to describe characteristics of substance abuse treatment counselors in the Republic of South Africa, including demographics, education, training, and job duties. Counselors recruited from 24 treatment centers completed a survey after signing informed consent. Counselors were primarily female (75%), racially diverse (36.4% White, 30.8% Black, 18.9% Coloured, 12.6% Indian or Asian, and 1.4% Cape Malay), and were 38 years old on average. The majority (62.3%) held at least an equivalent of a bachelor’s degree, and just under half (49%) were registered social workers. Counselors had a mean of 5.3 years’ experience in substance abuse treatment. The substance abuse treatment workforce of South Africa appears to be young and educated, yet only one third of the counselors had any formal training in Cognitive Behavioral Therapy. South African counselors could benefit from more training in evidence-based techniques

Social Influences on Alcohol Consumption by Black and White Males

Thirty-two black and 32 white male normal drinkers participated in a beer taste test either simultaneously (co-action condition) with a heavy drinking black or white experimental accomplice or white the accomplice completed an art rating task (control observer condition). Subjects in the co-action condition drank significantly more beer (p \u3c .001) than subjects in the control observer condition, regardless of their race or the race of the accomplice. Subjects\u27 post-experimental questionnaire answers indicated they did not perceive themselves to be in competition with the accomplice. The mechanism underlying the robust co-action facilitation effect on drinking, now demonstrated in several studies and extended to black males in the present study, remains unexplained

The Substance Abuse Treatment Workforce of South Africa

The purpose of this paper is to describe characteristics of substance abuse treatment counselors in the Republic of South Africa, including demographics, education, training, and job duties. Counselors recruited from 24 treatment centers completed a survey after signing informed consent. Counselors were primarily female (75%), racially diverse (36.4% White, 30.8% Black, 18.9% Coloured, 12.6% Indian or Asian, and 1.4% Cape Malay), and were 38 years old on average. The majority (62.3%) held at least an equivalent of a bachelor’s degree, and just under half (49%) were registered social workers. Counselors had a mean of 5.3 years’ experience in substance abuse treatment. The substance abuse treatment workforce of South Africa appears to be young and educated, yet only one third of the counselors had any formal training in Cognitive Behavioral Therapy. South African counselors could benefit from more training in evidence-based techniques

Role of Faith-Based Organizations in Supporting Efforts to Reintegrate Residents Returning from Prison

California is experiencing an unprecedented influx of recently released ex-offenders from the penal system. Nowhere is this public health burden felt more than in Alameda County, where 16,800 adult parolees preside. The public health impact of ex-offenders has potentially serious social, political, economic and health implications. Faith-based communities in Oakland are an untapped resource that can assist in reentry efforts for ex-offenders and their families. In 2008, the Alameda County Public Health Department (ACPHD) commissioned Regional Congregations and Neighborhood Organizations Training Center (RCNO) and its local affiliate, Bay Area Action Council (BAAC), to survey 50 Alameda County African American faith-based organizations. The purpose of this study was to obtain baseline information regarding the feasibility of utilizing faith-based community assets to develop new public health strategies. The results of this descriptive key informant study indicates that faith-based organizations in Oakland have the potential to establish partnerships to improve the public health and safety of residents returning from prison, their families, and the communities that receive them from prison. Our findings indicate that 13 (27.1%) of the 48 faith-based organizations in the study have transitional housing capacity. The resources available and the challenges of maximizing faith-based organizational capacity are presented

Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report

International audienceThe Deep Underground Neutrino Experiment (DUNE) is an international, world-class experiment aimed at exploring fundamental questions about the universe that are at the forefront of astrophysics and particle physics research. DUNE will study questions pertaining to the preponderance of matter over antimatter in the early universe, the dynamics of supernovae, the subtleties of neutrino interaction physics, and a number of beyond the Standard Model topics accessible in a powerful neutrino beam. A critical component of the DUNE physics program involves the study of changes in a powerful beam of neutrinos, i.e., neutrino oscillations, as the neutrinos propagate a long distance. The experiment consists of a near detector, sited close to the source of the beam, and a far detector, sited along the beam at a large distance. This document, the DUNE Near Detector Conceptual Design Report (CDR), describes the design of the DUNE near detector and the science program that drives the design and technology choices. The goals and requirements underlying the design, along with projected performance are given. It serves as a starting point for a more detailed design that will be described in future documents

DUNE Offline Computing Conceptual Design Report

This document describes Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE) experiment, in particular, the conceptual design of the offline computing needed to accomplish its physics goals. Our emphasis in this document is the development of the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from the DUNE experiment and its prototypes. In this effort, we concentrate on developing the tools and systems thatfacilitate the development and deployment of advanced algorithms. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions as HEP computing evolves and to provide computing that achieves the physics goals of the DUNE experiment

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

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

The DUNE Far Detector Vertical Drift Technology, Technical Design Report

International audienceDUNE is an international experiment dedicated to addressing some of the questions at the forefront of particle physics and astrophysics, including the mystifying preponderance of matter over antimatter in the early universe. The dual-site experiment will employ an intense neutrino beam focused on a near and a far detector as it aims to determine the neutrino mass hierarchy and to make high-precision measurements of the PMNS matrix parameters, including the CP-violating phase. It will also stand ready to observe supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector implements liquid argon time-projection chamber (LArTPC) technology, and combines the many tens-of-kiloton fiducial mass necessary for rare event searches with the sub-centimeter spatial resolution required to image those events with high precision. The addition of a photon detection system enhances physics capabilities for all DUNE physics drivers and opens prospects for further physics explorations. Given its size, the far detector will be implemented as a set of modules, with LArTPC designs that differ from one another as newer technologies arise. In the vertical drift LArTPC design, a horizontal cathode bisects the detector, creating two stacked drift volumes in which ionization charges drift towards anodes at either the top or bottom. The anodes are composed of perforated PCB layers with conductive strips, enabling reconstruction in 3D. Light-trap-style photon detection modules are placed both on the cryostat's side walls and on the central cathode where they are optically powered. This Technical Design Report describes in detail the technical implementations of each subsystem of this LArTPC that, together with the other far detector modules and the near detector, will enable DUNE to achieve its physics goals