171 resultados para Smart homes
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The origins of artificial neural networks are related to animal conditioning theory: both are forms of connectionist theory, which in turn derives from the empiricist philosophers' principle of association. The parallel between animal learning and neural nets suggests that interaction between them should benefit both sides.
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In this paper we present an Orientation Free Adaptive Step Detection (OFASD) algorithm for deployment in a smart phone for the purposes of physical activity monitoring. The OFASD algorithm detects individual steps and measures a user’s step counts using the smart phone’s in-built accelerometer. The algorithm considers both the variance of an individual’s walking pattern and the orientation of the smart phone. Experimental validation of the algorithm involved the collection of data from 10 participants using five phones (worn at five different body positions) whilst walking on a treadmill at a controlled speed for periods of 5 min. Results indicated that, for steps detected by the OFASD algorithm, there were no significant differences between where the phones were placed on the body (p > 0.05). The mean step detection accuracies ranged from 93.4 % to 96.4 %. Compared to measurements acquired using existing dedicated commercial devices, the results demonstrated that using a smart phone for monitoring physical activity is promising, as it adds value to an accepted everyday accessory, whilst imposing minimum interaction from the user. The algorithm can be used as the underlying component within an application deployed within a smart phone designed to promote self-management of chronic disease where activity measurement is a significant factor, as it provides a practical solution, with minimal requirements for user intervention and less constraints than current solutions.
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Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with advanced meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and payment plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of 11-17%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. The advanced metering program delivers reasonably cost-effective reductions in carbon dioxide emissions, even under the most conservative usage reduction scenarios.
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We examined the relationship between cognitive capacity and heuristic responding on four types of reasoning and decision-making tasks. A total of 84 children, between 5 years 2 months and 11 years 7 months of age, participated in the study. There was a marked increase in heuristic responding with age that was related to increases in cognitive capacity. These findings are inconsistent with the predominant dual-process accounts of reasoning and decision making as applied to development. We offer an alternative explanation of the findings, considering them in the context of recent claims concerning the role of working memory in contextualized reasoning.
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Structured Abstract:
Purpose: Very few studies investigate environmentally responsible behaviour (ERB). This paper presents a new 'Awareness Behaviour Intervention Action' (ABIA) Decision Support Framework to sustain ERB.
Design/methodology/approach: Previous ERB programmes have failed to deliver lasting results; they have not appropriately understood and provided systems to address ERB (Costanzo et al., 1986). These programmes were based on assumptions (Moloney et al., 2010), which this paper addresses. The ABIA Framework has been developed through a case study of social housing tenants waiting for low or zero carbon homes.
Findings: The ABIA Framework enables a better understanding of current attitudes to environmental issues and provides support for ERB alongside technological interventions employed to promote and sustain carbon reduction.
Research limitations/implications: The ABIA Framework should be tested on individuals and communities in a variety of socio-economic, political and cultural contexts. This will help unpack how it can impact on the behaviours of individuals and communities including stakeholders.
Practical implications: This type of research and the ABIA Framework developed from it are crucial if the UK pledge to become the first country in the World where all new homes from 2016 are to be zero carbon.
Social implications: The Framework encourages both individual and community discussion and solving of sustainability issues.
Originality/value: There are few, if any, studies that have developed a framework which can be used to support behavioural change for adaptation to sustainable living in low or zero carbon homes.
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STOPP/START was formulated to identify potentially inappropriate prescribing (PIP) and potential prescribing omissions (PPOs) in older people. The purpose of this study was to determine the prevalence of PIP and PPO in older Irish patients in residential care using STOPP/START.
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Concerns about the quality of care in long term care (LTC) homes range from inadequate daily care to understaffing and insufficient funding. LTC decision makers are challenged to keep up with the changing demographics of residents admitted to LTC who have increasingly complex care needs. Decisions regarding LTC policies and procedures need to be informed by research that identifies the most effective and efficient care practices.This study solicited feedback from LTC decision makers in Ontario, Canada, regarding research priorities to guide improvement in the quality of care in LTC homes. Representatives from 134 LTC homes responded (53.6% response rate). Nine thematic areas of research were identified: delivery of care; staffing; organization and structure of homes; funding; indicators, standards, policies, and procedures; managing difficult behaviors; education; safety; and infectious disease control. It is anticipated that these themes will steer research down a path that is responsive to the information needs of practitioners in LTC homes. © 2012 American Medical Directors Association, Inc.
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This survey assessed the extent of and satisfaction with collaboration between physicians and nurse practitioners (NPs) working in Ontario long-term care homes. Questionnaires, which included the Measure of Current Collaboration and Provider Satisfaction with Current Collaboration instruments, were mailed to NPs and physicians with whom the NP most frequently worked. The 14 matched-pairs of NPs and physicians reported similar levels of collaboration; however, physicians were significantly more satisfied with collaboration than were NPs (z = -2.67, p = 0.008). The majority of physicians (85%) and NPs (86%) indicated that collaboration was occurring, and 96 per cent of physicians and 79 per cent of NPs were satisfied with their collaboration. About one third of physicians reported that the NP had a negative effect on their income, but their satisfaction with collaboration did not differ from those who reported a positive effect. Overall, these physicians and NPs collaborate in delivering care and are satisfied with their collaboration. © 2009 Canadian Association on Gerontology.
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BACKGROUND: Antibiotics are frequently prescribed for older adults who reside in long-term care facilities. A substantial proportion of antibiotic use in this setting is inappropriate. Antibiotics are often prescribed for asymptomatic bacteriuria, a condition for which randomized trials of antibiotic therapy indicate no benefit and in fact harm. This proposal describes a randomized trial of diagnostic and therapeutic algorithms to reduce the use of antibiotics in residents of long-term care facilities. METHODS: In this on-going study, 22 nursing homes have been randomized to either use of algorithms (11 nursing homes) or to usual practise (11 nursing homes). The algorithms describe signs and symptoms for which it would be appropriate to send urine cultures or to prescribe antibiotics. The algorithms are introduced by inservicing nursing staff and by conducting one-on-one sessions for physicians using case-scenarios. The primary outcome of the study is courses of antibiotics per 1000 resident days. Secondary outcomes include urine cultures sent and antibiotic courses for urinary indications. Focus groups and semi-structured interviews with key informants will be used to assess the process of implementation and to identify key factors for sustainability.
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The purpose of this study was to explore nurses' perceptions of and level of satisfaction with the medication administration system in long-term care (LTC). The cross-sectional survey design included both quantitative and open-ended questions. Data were collected from licensed registered nurses (RNs) and registered practical nurses (RPNs) at 9 LTC residences in southwestern Ontario, Canada. Using independent sample f tests, the researchers found that RNs were significantly less satisfied than RPNs with their medication administration system, particularly with respect to safety issues. RNs identified a number of related barriers, including time constraints, poor packaging, insufficient drug information, prescription changes, lack of staff competency, and unwieldy medication carts. Implications for practice and policy are discussed, including recommendations for improving medication administration practices and for addressing the workload demands of LTC nurses. © McGill University School of Nursing.