TIC 378898110: A bright, short-period AM CVn binary in TESS

AM CVn-type systems are ultracompact, helium-accreting binary systems which are evolutionarily linked to the progenitors of thermonuclear supernovae and are expected to be strong Galactic sources of gravitational waves detectable to upcoming space-based interferometers. AM CVn binaries with orbital periods ≲ 20–23 min exist in a constant high state with a permanently ionised accretion disc. We present the discovery of TIC 378898110, a bright (G = 14.3 mag), nearby (309.3 ± 1.8 pc), high-state AM CVn binary discovered in TESS two-minute-cadence photometry. At optical wavelengths this is the third-brightest AM CVn binary known. The photometry of the system shows a 23.07172(6) min periodicity, which is likely to be the ‘superhump’ period and implies an orbital period in the range 22–23 min. There is no detectable spectroscopic variability. The system underwent an unusual, year-long brightening event during which the dominant photometric period changed to a shorter period (constrained to 20.5 ± 2.0 min), which we suggest may be evidence for the onset of disc-edge eclipses. The estimated mass transfer rate, log(M˙ /M⊙yr−1 ) = −6.8±1.0, is unusually high and may suggest a high-mass or thermally inflated donor. The binary is detected as an X-ray source, with a flux of 9.2+4.2 −1.8 ×10−13 erg cm−2s−1 in the 0.3–10 keV range. TIC 378898110 is the shortest-period binary system discovered with TESS, and its large predicted gravitational-wave amplitude makes it a compelling verification binary for future space-based gravitational wave detectors

The Middlesex University rehabilitation robot

This paper outlines the historical developments of Wheelchair-Mounted Robot Arms (WMRA's) and then focuses on the ongoing research at Middlesex to develop a low-cost aid to daily living for users with high-level quadriplegia. A detailed review is given explaining the design specification. It describes the construction of the robotic device and its control architecture. The prototype robot used several gesture recognition and other input systems. The prototype has been tested on disabled and non-disabled users with positive feedback. They observed that it was easy to use, but issues about speed of operation were resolved after further development. The robot has a payload of greater than 1kg with a maximum reach of 0.7–0.9m. Published by the Taylor & Francis Publishing Group, this publication is one of the only journals to cover the multi-disciplinary area of medical technology research. Currently, research bids are being formulated with the School of Computing Science to continue this researc

High strain-rate properties of materials Progress report to 31st May 1985

SIGLEAvailable from British Library Lending Division - LD:2265.63F(BR--96910) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Impact of sleep telementorship in primary care: Sleep va-echo (veterans affairs-extension for community healthcare outcomes)

Sleep VA-ECHO (Veterans Affairs–Extension for Community Healthcare Outcomes) is a national telementorship program intended to improve knowledge about sleep disorders among non-specialty providers. The project goal was to describe the characteristics of Sleep VA-ECHO participants from primary care and their use of program-obtained knowledge in practice. Sleep VA-ECHO consisted of 10 voluntary, 75-min teleconference sessions combining didactics and case discussion. Out of 86 participants, 21 self-identified as primary care team members and completed a program evaluation. Participants self-reported their application of knowledge gained, including changes to practice as a result of program participation. These 21 participants represented 18 sites in 11 states and attended a median of 5.0 sessions. They included physicians (29%), nurse practitioners (24%), and registered nurses (24%). Nearly all participants (95%) reported using acquired knowledge to care for their own patients at least once a month; 67% shared knowledge with colleagues at least once a month. Eighty-five percent reported improved quality of sleep care for their patients, and 76% reported an expanded clinical skillset. The greatest self-reported change in practice occurred in patient education about sleep disorders (95%) and non-pharmacologic management of insomnia (81%). © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

THORPEX research and the science of prediction

The article of record as published may be found at http://dx.doi.org/10.1175/BAMS-D-14-00025.1THORPEX was a 10-yr international research program designed to accelerate the rate of improvement in the accuracy of predictions of high-impact weather.National Science FoundationNSF-AGS 0621545/0652462NSF/PLR 0733007/114379