3,211 research outputs found

    iLime an app for assessing the management of soil acidity in agricultural systems

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    iLIme mobile app is available for download for Apple and Android devices from your preferred app store. https://www.agric.wa.gov.au/apps/ilime Awareness of soil acidity as a constraint to agricultural production in Western Australia has led to increased use of lime, but rates remain too low to manage existing acidic soil and ongoing acidification. To invest in lime, growers need confidence in likely economic and production responses. This paper describes the development of an acidification calculator, in app form, that was developed with input and feedback to ensure that it would meet the needs and requirements of users

    The Role of Satellites and Smart Devices: Data Surprises and Security, Privacy, and Regulatory Challenges

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    Strava, a popular social media platform and mobile app like Facebook but specifically designed for athletes, posts a “heatmap” with consensually-obtained details about users’ workouts and geolocation. Strava’s heatmap depicts aggregated data of user location and movement by synthesizing GPS satellite data points and movement data from users’ smart devices together with satellite imagery. In January of 2018, a 20-year-old student tweeted that Strava’s heatmap revealed U.S. forward operating bases. The tweet revealed a significant national security issue and flagged substantial privacy and civil liberty concerns. Smart devices, software applications, and social media platforms aggregate consumer data from multiple data collection sources, including device-embedded sensors, cameras, software, and GPS chips, as well as from consumer activities like social media posts, pictures, texts, email, and contacts. These devices and apps utilize satellite data, including GPS, as a fundamental component of their data collection arsenal. We call this little understood, across-device, across-platform, and multi-sourced data aggregation the satellite-smart device information nexus. Given the nature of the technology and data aggregation, no one escapes the satellite and smart device information nexus. We explain the technology behind both satellites and smart devices, and we examine how the satellite-smart device information nexus works. We also address how private industry’s aggregation of data through this nexus poses a threat to individual privacy, civil liberties, and national security. In so doing, we work to fill a marked gap in the privacy and cyber-related legal literature when it comes to analyzing the technology, surveillance capabilities, law, and regulation behind government and commercial satellites together with private industry’s aggregation, use, and dissemination of geolocation and other data from the satellite-smart device information nexus. This lack of awareness about the satellite-smart device information nexus has adverse consequences on individual privacy, civil liberties, and the security of nation states; it impedes informed legislation; and it leaves courts in the dark. A contributing factor to the lack of awareness is that commercial remote sensing and government satellites are regulated by a byzantine scheme of international laws, treaties, organizations, and domestic nation states’ laws that combine to control access to satellite data, sharing of satellite data, licensing, ownership, positioning in space, technical requirements, technical restrictions, and liability for harm caused by satellites. Although the satellite-smart device information nexus involves staggering quantities of personal information, we examine how the nexus falls outside the U.S. electronic surveillance and data legislative scheme and why it is unimpeded by privacy decisions due to a disconnect in U.S. Supreme Court decisions treating aerial surveillance differently than location tracking. We breakdown the complex yet opaque regulatory structure governing commercial remote sensing and government satellites. We examine why the Strava event and others like it are—and will continue to be—the new norm, absent significant legislative and regulatory change. We conclude by providing a suggested roadmap for that legislative and regulatory change

    An Evaluation of the NHS England Youth Forum

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    More than five decades ago the Platt Report (Ministry of Health, 1959) recommended that hospitalised children needed to be treated differently to adults. It took until the 1980s for evidence to emerge that healthcare staff were beginning to implement Platt’s recommendations; Davies (2010) attributes this long awaited change of approach to a new generation of practitioners and a renewed focus from the Government that acknowledged the distinct needs of children and young people. In the early 1990s James and Prout (1990) produced work to suggest that children should not be viewed as passive recipients of care but should be recognised as having their own voice, referred to as the “emergence of children’s voice” (Hallett and Prout, 2003: 1)Peer reviewedFinal Published versio

    The development of an intervention for diabetes prevention among people with impaired glucose regulation:feasibility and acceptability of an intervention component

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    Background As part of the design process of a low-cost minimal-contact diabetes prevention intervention, we issued a blood glucose meter to people with impaired glucose regulation (who are at high risk of type 2 diabetes). We conducted a feasibility study to assess the acceptability of this intervention component and whether and how recipients engaged with it. Methods A blood glucose meter was given to 19 people identified through primary care, who were asked to use the meter in an exploratory way during a 4-week trial period, to try to understand the effect of different foods on the body. They were advised that they could test as often or as little as they liked and were also asked to keep a food/exercise diary for at least 1 week. They were interviewed about their experiences afterwards. Results There was a high level of engagement with testing, with the total number of tests recorded ranging from 11 to 114 (median 74) among 18 participants. Fifteen participants tested almost every day during the 4-week period. The cognitive engagement was more limited. All participants commented on their own results, and most were able to relate high or low results to foods eaten and exercise taken, usually in response to prompting. However, there was limited thought or understanding beyond this in terms of longer-term patterns of diet and exercise, and testing was routine rather than experimental. Some participants were confused by conflicting or unexpected results. A few minor problems were reported by participants, such as soreness, inconvenience, and difficulty in getting blood, but never enough to discontinue testing. Several participants stated that the meter was a useful aid as a reminder that they were at high risk of diabetes and served as a prompt that needed to make and/or maintain behaviour changes. Conclusions The study suggests that blood glucose monitoring is acceptable to people with impaired glucose regulation and that they would engage with it as part of an intervention to improve their diet. The study has also uncovered potential mechanisms of action for behaviour change

    Order effects in high stakes undergraduate examinations: an analysis of 5 years of administrative data in one UK medical school.

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    OBJECTIVE: To investigate the association between student performance in undergraduate objective structured clinical examinations (OSCEs) and the examination schedule to which they were assigned to undertake these examinations. DESIGN: Analysis of routinely collected data. SETTING: One UK medical school. PARTICIPANTS: 2331 OSCEs of 3 different types (obstetrics OSCE, paediatrics OSCE and simulated clinical encounter examination OSCE) between 2009 and 2013. Students were not quarantined between examinations. OUTCOMES: (1) Pass rates by day examination started, (2) pass rates by day station undertaken and (3) mean scores by day examination started. RESULTS: We found no evidence that pass rates differed according to the day on which the examination was started by a candidate in any of the examinations considered (p>0.1 for all). There was evidence (p=0.013) that students were more likely to pass individual stations on the second day of the paediatrics OSCE (OR 1.27, 95% CI 1.05 to 1.54). In the cases of the simulated clinical encounter examination and the obstetrics and gynaecology OSCEs, there was no (p=0.42) or very weak evidence (p=0.099), respectively, of any such variation in the probability of passing individual stations according to the day they were attempted. There was no evidence that mean scores varied by day apart from the paediatric OSCE, where slightly higher scores were achieved on the second day of the examination. CONCLUSIONS: There is little evidence that different examination schedules have a consistent effect on pass rates or mean scores: students starting the examinations later were not consistently more or less likely to pass or score more highly than those starting earlier. The practice of quarantining students to prevent communication with (and subsequent unfair advantage for) subsequent examination cohorts is unlikely to be required.University of Cambridge School of Clinical MedicineThis is the final version of the article. It first appeared from BMJ Group via http://dx.doi.org/10.1136/bmjopen-2016-01254

    A physical activity intervention in a Bingo club: Significance of the setting

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    Objective:  A Bingo club was selected for the design and delivery of a health intervention (Well!Bingo) in order to engage with older women living in areas areas of socio-economic disadvantage. In the light of our experience, we discuss the significance of the setting in relation to a typology of health promotion settings.  Design and Setting:  The Well!Bingo physical activity intervention was piloted in a Bingo club in Scotland.  Methods:  In a pilot feasibility study, women were recruited face-to-face at a Bingo club over two weeks. The 12-week intervention consisted of three different structured exercise sessions per week, followed by refreshments, with trained instructors delivering a schedule of simple pre-defined health messages. Participants completed a baseline questionnaire, and in-depth qualitative interviews were carried out with participants and instructors post-intervention. For this paper, using the framework method, we retrieved and analysed the data coded as relating to the setting.  Results:  Eighteen women (55-92 years) took part in intervention sessions. Half lived in areas of socio-economic deprivation. Practical and social familiarity with the setting (a sense of belonging and being with people like themselves) encouraged them to take part, and implicit features of the setting may have enhanced recruitment and effectiveness.  Discussion:  In settings-based health promotion, a Bingo club could be seen as a ‘passive' setting, simply facilitating access to a target population. It cannot be an ‘active setting', because health promotion will never be a core activity and features cannot be drawn upon to influence change. However, calling it a passive setting overlooks the importance of characteristics that may enhance recruitment and effectiveness. This highlights the need to extend current concepts of ‘passive' health promotion settings

    Stratified statistical models of North Atlantic basin-wide and regional tropical cyclone counts

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    Using the historical Atlantic tropical cyclone record, this study examines the empirical relationships between climate state variables and Atlantic tropical cyclone counts. The state variables considered as predictors include indices of the El Niño/Southern Oscillation and Northern Atlantic Oscillation, and both “local” and “relative” measures of Main Development Region sea surface temperature. Other predictors considered include indices measuring the Atlantic Meridional Mode and the West African monsoon. Using all of the potential predictors in a forward stepwise Poisson regression, we examine the relationships between tropical cyclone counts and climate state variables. As a further extension on past studies, both basin-wide named storm counts and cluster analysis time series representing distinct flavors of tropical cyclones, are modeled. A wide variety of cross validation metrics reveal that basin-wide counts or sums over appropriately chosen clusters may be more skillfully modeled than the individual cluster series. Ultimately, the most skillful models typically share three predictors: indices for the main development region sea surface temperatures, the El Niño/Southern Oscillation, and the North Atlantic Oscillation
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