4,012 research outputs found
Title VII\u27s Flight within First Amendment Radar: The Outer Cosmos of Employer Liability for Workplace Harassment Absent a Tangibly Discriminatory Employment Action
Including the siblings of youth substance abusers in a parent-focused intervention : a pilot test of the best plus program
Substance use is common among young people and can escalate into significant problems for affected individuals and their families. Family responses can influence the course of youth substance use and its consequences for family members, including parents and siblings. Family-level interventions developed to date have neglected the important role that siblings can play. This article describes a pilot test of an intervention designed to assist parents and siblings affected by youth substance use and related problems. The BEST Plus intervention consisting of professionally-led, multifamily groups sequenced over eight sessions is described with reference to the intended therapeutic processes. Professionally observed and self-reported changes for family participants including siblings suggested that the program had a beneficial therapeutic impact. This evaluation of early impacts suggests the BEST Plus programoffers a promising means of assisting families to respond to substance use problems in young people.<br /
A water rights transfer evaluation procedure with applications for western energy development
This report deals with questions of water supply for coal deve-
lopment in the semiarid western United States. A method is developed
to evaluate yields of water rights in "appropriation" or "permit"
systems of water administration. Water rights are characterized in
terms of location, priority, decreed maximum diversion, actual diver-
sion in periods of low flow, and consumptive use. Transfers of water
rights are evaluated in this method by using institutional procedures
as a framework for analysis. A case study is performed on the North
Fork of the Powder River, Wyoming, in which institutional considera-
tions are discussed, and water rights are evaluated for a hypothetical
facility.
This procedure is not limited to energy facilities, but may be
used in most cases of water rights trasnfers. The method is designed
for use with easily obtained data in order to facilitate its use in
practice.Sponsored by U.S. Dept. of Energy
Characterizing infection in anti-neutrophil cytoplasmic antibody-associated vasculitis:results from a longitudinal, matched-cohort data linkage study
We wish to thank Information Division Services Scotland for assisting with data linkage and data access in the National Safe Haven. Information presented in this article was previously presented as a poster at the American College of Rheumatology Annual Conference 2018, Chicago, IL, USA. The study was conceived by S.H.S., A.M., C.B. and N.B. All authors contributed to the study design and data collection. Data analysis and interpretation and drafting of the manuscript were conducted by all authors. C.B. and N.B. were joint senior authors. All authors critically reviewed the manuscript and approved the final version. Funding: S.H.S. and the study were funded by the Aberdeen Development Trust and the Farr Institute of Health Informatics Research. The Farr Institute is supported by a 10-funder consortium: Arthritis Research UK, the British Heart Foundation, Cancer Research UK, the Economic and Social Research Council, the Engineering and Physical Sciences Research Council, the Medical Research Council, the National Institute of Health Research, the National Institute for Social Care and Health Research (Welsh Assembly Government), the Chief Scientist Office (Scottish Government Health Directorates) and the Wellcome Trust (Scotland MR/K007017/1). Disclosure statement: L.E. is a GlaxoSmithKline employee. The other authors have declared no conflicts of interest.Peer reviewedPublisher PD
Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns
We introduce Deep Thermal Imaging, a new approach for close-range automatic
recognition of materials to enhance the understanding of people and ubiquitous
technologies of their proximal environment. Our approach uses a low-cost mobile
thermal camera integrated into a smartphone to capture thermal textures. A deep
neural network classifies these textures into material types. This approach
works effectively without the need for ambient light sources or direct contact
with materials. Furthermore, the use of a deep learning network removes the
need to handcraft the set of features for different materials. We evaluated the
performance of the system by training it to recognise 32 material types in both
indoor and outdoor environments. Our approach produced recognition accuracies
above 98% in 14,860 images of 15 indoor materials and above 89% in 26,584
images of 17 outdoor materials. We conclude by discussing its potentials for
real-time use in HCI applications and future directions.Comment: Proceedings of the 2018 CHI Conference on Human Factors in Computing
System
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