155,208 research outputs found

    Can implementation intentions and text messages promote brisk walking? A randomized trial.

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    Objective: To test the efficacy in promoting brisk walking of two theory-based interventions that incorporate implementation intentions and text message (Short Message Service; SMS) reminders directed at one’s walking-related plans or goals. Design: Participants (N = 149) were randomized to one of three conditions (implementation intention + SMS plan reminder, implementation intention + SMS goal reminder, control) before completing measures at baseline and follow-up 4 weeks later. At follow-up, the experimental groups were given a surprise recall task concerning their plans. All participants completed an equivalent goal recall task. Main Outcome Measures: Validated self-report measures of physical activity and measures of implementation intention and goal recall, weight, and waist-to-hip ratio. Results: Both intervention groups increased their brisk walking relative to the control group, without reducing other physical activity. The goal reminder group lost the most weight. The SMS plan reminder group recalled more of their plans than the SMS goal reminder group, but the latter were more successful in goal recall. Conclusion: Both interventions can promote brisk walking in sedentary populations. Text messages aid the recall of, and could enhance interventions that target, implementation intentions and goals

    Developments in the tools and methodologies of synthetic biology.

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    Synthetic biology is principally concerned with the rational design and engineering of biologically based parts, devices, or systems. However, biological systems are generally complex and unpredictable, and are therefore, intrinsically difficult to engineer. In order to address these fundamental challenges, synthetic biology is aiming to unify a body of knowledge from several foundational scientific fields, within the context of a set of engineering principles. This shift in perspective is enabling synthetic biologists to address complexity, such that robust biological systems can be designed, assembled, and tested as part of a biological design cycle. The design cycle takes a forward-design approach in which a biological system is specified, modeled, analyzed, assembled, and its functionality tested. At each stage of the design cycle, an expanding repertoire of tools is being developed. In this review, we highlight several of these tools in terms of their applications and benefits to the synthetic biology community

    Change in viral bronchiolitis management in hospitals in the UK after the publication of NICE guideline.

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    BACKGROUND: Viral bronchiolitis is one of the most common causes of hospitalisation in young infants. It has previously been shown that many United Kingdom (UK) hospital Trusts were not compliant with many aspects of the National Institute for Health and Care Excellence (NICE) bronchiolitis guideline prior to its publication. OBJECTIVES: This study aimed to investigate changes in the management of bronchiolitis by hospital Trusts between 2015 (before NICE guideline publication) and 2017, after publication. STUDY DESIGN: We prospectively surveyed paediatricians at UK hospital Trusts on the management of bronchiolitis before (March to May 2015) and after (January to May 2017) the NICE bronchiolitis guideline publication in June 2015, using an electronic, structured questionnaire. RESULTS: In 2015 111 Trusts were represented and in 2017 100 Trusts. Significant improvements were seen in the use of nebulised bronchodilators and hypertonic saline and provision of parental written guidance. However, full compliance with the guideline did not change with 18% of Trusts compliant before publication of the guideline in 2015 and 19% fully compliant with the guideline in 2017. CONCLUSIONS: Overall there were modest but important improvements in the reported management of bronchiolitis after the publication of the NICE guideline

    DeepFactors: Real-time probabilistic dense monocular SLAM

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    The ability to estimate rich geometry and camera motion from monocular imagery is fundamental to future interactive robotics and augmented reality applications. Different approaches have been proposed that vary in scene geometry representation (sparse landmarks, dense maps), the consistency metric used for optimising the multi-view problem, and the use of learned priors. We present a SLAM system that unifies these methods in a probabilistic framework while still maintaining real-time performance. This is achieved through the use of a learned compact depth map representation and reformulating three different types of errors: photometric, reprojection and geometric, which we make use of within standard factor graph software. We evaluate our system on trajectory estimation and depth reconstruction on real-world sequences and present various examples of estimated dense geometry

    Avoiding entanglement loss when two-qubit quantum gates are controlled by electronic excitation

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    A solid-state two-qubit quantum gate was recently proposed that might be made in a silicon fabrication plant in the near future. In this class of device, entanglement between two quantum bits is controlled by a change from a largely unentangled ground electronic state to an excited state in which useful entanglement can be produced. Such gates have potential advantages, both because they exploit known solid-state behaviour and they separate the storage and manipulation of quantum information. It is important that the excitation step does not create decoherence. We analyse a type of gate proposed before, in which the excitation involves a control electron that interacts with the qubit spins in the excited state. The dynamics of an idealized (but fairly general) gate of this type show that it can be operated to produce a standard two-qubit entangling state

    Optimal tuning of a GCM using modern and glacial constraints

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    Changes in invertebrate assemblage composition in benthic and hyporheic zones during a severe supraseasonal drought

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    Droughts are unpredictable disturbances characterized in streams by declining flow, reduced habitat availability, and deteriorating abiotic conditions. Such events typically reduce benthic invertebrate taxon richness and modify assemblage composition, but little is known about how hyporheic invertebrate assemblages respond to drought or how these responses relate to changes in benthic assemblages. We hypothesized that taxon richness (diversity) and variability (as within-site diversity) in benthic assemblage composition would decline as drought proceeded, whereas concurrent changes in hyporheic assemblages would be lower in this more stable environment. We predicted that benthic assemblage composition between sites would converge as epigean taxa were selectively eliminated, whereas between-site hyporheic diversity would change little. We sampled benthic and hyporheic invertebrates concurrently from 4 sites along a groundwater-fed stream during the final stages of a severe supraseasonal drought punctuated by a record heat wave. Abiotic conditions in benthic habitats deteriorated as flow declined, but changes were less pronounced in the hyporheic zone. Benthic diversity declined during drought, whereas hyporheic diversity changed little. However, benthic within-site diversity increased as the drought progressed because of localized variation in the abundance of common taxa. Temporal trends in hyporheic diversity were less consistent. Benthic assemblages at individual sites became more similar, especially during the heat wave, reflecting low diversity and abundance. Hyporheic assemblages changed markedly because of temporary increases in abundances of epigean and hypogean amphipods. These contrasting responses of benthic and hyporheic assemblages to drought should be recognized when developing management strategies for drought-impacted streams
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