200 research outputs found

    SCUBA divers as oceanographic samplers: The potential of dive computers to augment aquatic temperature monitoring

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    Monitoring temperature of aquatic waters is of great importance, with modelled, satellite and in-situ data providing invaluable insights into long-term environmental change. However, there is often a lack of depth-resolved temperature measurements. Recreational dive computers routinely record temperature and depth, so could provide an alternate and highly novel source of oceanographic information to fill this data gap. In this study, a citizen science approach was used to obtain over 7,000 scuba diver temperature profiles. The accuracy, offset and lag of temperature records was assessed by comparing dive computers with scientific conductivity-temperature-depth instruments and existing surface temperature data. Our results show that, with processing, dive computers can provide a useful and novel tool with which to augment existing monitoring systems all over the globe, but especially in under-sampled or highly changeable coastal environments

    The Iowa Homemaker vol.7, no.6

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    The Place of the Child by Anna E. Richardson, page 1 Liver for My Hotspur by Jeanette Beyer McCay, page 2 Christmas Problems for the Home Economics Class by Marcia E. Turner, page 3 Taking the Drudgery Out of Ironing Day by Edith Carse, page 4 Home Life in Uruguay by Frances Thomas, page 5 Girls’ 4-H Page, page 6 Looking Ahead in the State Association by Vera L. Mintle, page 8 Do We Need Help in Household Buying? by Frances A. Sims, page 10 Who’s There and Where by Dr. Lillian B. Storms, page 1

    Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study.

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    Background: Acute illness, existing co-morbidities and surgical stress response can all contribute to postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. The aim of this study was prospectively to develop a pragmatic prognostic model to stratify patients according to risk of developing AKI after major gastrointestinal surgery. Methods: This prospective multicentre cohort study included consecutive adults undergoing elective or emergency gastrointestinal resection, liver resection or stoma reversal in 2-week blocks over a continuous 3-month period. The primary outcome was the rate of AKI within 7 days of surgery. Bootstrap stability was used to select clinically plausible risk factors into the model. Internal model validation was carried out by bootstrap validation. Results: A total of 4544 patients were included across 173 centres in the UK and Ireland. The overall rate of AKI was 14·2 per cent (646 of 4544) and the 30-day mortality rate was 1·8 per cent (84 of 4544). Stage 1 AKI was significantly associated with 30-day mortality (unadjusted odds ratio 7·61, 95 per cent c.i. 4·49 to 12·90; P < 0·001), with increasing odds of death with each AKI stage. Six variables were selected for inclusion in the prognostic model: age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin-converting enzyme inhibitor or an angiotensin receptor blocker. Internal validation demonstrated good model discrimination (c-statistic 0·65). Discussion: Following major gastrointestinal surgery, AKI occurred in one in seven patients. This preoperative prognostic model identified patients at high risk of postoperative AKI. Validation in an independent data set is required to ensure generalizability

    Automation enhancement and accuracy investigation of a portable single-camera gait analysis system

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    While optical motion analysis systems can provide high-fidelity gait parameters, they are usually impractical for local clinics and home use, due to high cost, requirement for large space, and lack of portability. In this study, the authors focus on a cost-effective and portable, single-camera gait analysis solution, based on video acquisition with calibration, autonomous detection of frames-of-interest, Kalman-filter + structural-similarity-based marker tracking, and autonomous knee angle calculation. The proposed system is tested using 15 participants, including 10 stroke patients and 5 healthy volunteers. The evaluation of autonomous frames-of-interest detection shows only 0.2% difference between the frame number of the detected frame compared to the frame number of the manually labelled ground truth frame, and thus can replace manual labelling. The system is validated against a gold standard optical motion analysis system, using knee angle accuracy as metric of assessment. The accuracy investigation between the RGB- and the greyscale-video marker tracking schemes shows that the greyscale system suffers from negligible accuracy loss with a significant processing speed advantage. Experimental results demonstrate that the proposed system can automatically estimate the knee angle, with R-squared value larger than 0.95 and Bland-Altman plot results smaller than 3.0127° mean error

    Visualisation to enhance biomechanical tuning of ankle-foot orthoses (AFOs) in stroke: study protocol for a randomised controlled trial

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    There are a number of gaps in the evidence base for the use of ankle-foot orthoses for stroke patients. Three dimensional motion analysis offers an ideal method for objectively obtaining biomechanical gait data from stroke patients, however there are a number of major barriers to its use in routine clinical practice. One significant problem is the way in which the biomechanical data generated by these systems is presented. Through the careful design of bespoke biomechanical visualisation software it may be possible to present such data in novel ways to improve clinical decision making, track progress and increase patient understanding in the context of ankle-foot orthosis tuning

    Improvisation and Transformation: Yes to the Mess

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    The field of organizational change has chiefly been studied from a teleological perspective. Most models of change emphasize action that is rational and goal oriented. What often gets overlooked and under theorized is the continuous, iterative nature of organizational life, the unplanned and serendipitous actions by and between people that lead to new discoveries and innovation. Recent research on organizational improvisation seeks to explore this area. In this chapter we will address two questions – what is the experience of improvisation and what are the conditions that support improvisation to flourish in organizations? In the first part of this paper, we look at the phenomenology of improvisation, the actual lived experience of those who improvise in the face of the unknown or in the midst of chaotic conditions. We will explore the strategies that some professional improvisers employ to deliberately create the improvisatory moment. We will then look at the dynamics of organizational life and explore the cultural beliefs, organizational structures, and leadership practices that support improvisation. We will draw primarily upon the model from Barrett (2012) that focuses on the how the nature of jazz improvisation and the factors that support improvisation can be transferred to leadership activities. This falls in the tradition of others who draw upon arts-based metaphors, including jazz music and theatrical improvisation, to suggest insights for leadership and ways of organizing. Since this is a book devoted to individual transformation as well as organizational transformation, we will also touch on the topic of how improvisation is a developmental project and explore the potential for improvisation to lead to personal transformation. We will attempt to move back and forth between both themes – organizational and personal transformation. Ultimately the two topics are not separate. Any significant organizational transformation begins with an improvisation. And any meaningful improvisatory move by a person is potentially a moment of self-discovery and an identity-shaping event
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