832 research outputs found

    Summary statistics relating to "GWAS identifies 14 loci for device-measured physical activity and sleep duration"

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    Physical activity and sleep duration are established risk factors for many diseases, but their etiology is poorly understood, partly due to relying on self-reported evidence. Our 2018 Nature Communications article reports a genome-wide association study (GWAS) of device-measured physical activity and sleep duration in 91,105 UK Biobank participants, finding 14 significant loci (7 novel). This data deposit shares the summary statistics related to this GWAS study

    Capture-24: Activity tracker dataset for human activity recognition - Temperature & light sensor data

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    This dataset complements a previously released motion sensor dataset to include corresponding temperature and light sensor data. The DOI for the previously released motion sensor dataset is: 10.5287/bodleian:NGx0JOMP

    The technology of collective memory and the normativity of truth

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    Neither our evolutionary past, nor our pre-literate culture, has prepared humanity for the use of technology to provide records of the past, records which in many context become normative for memory. The demand that memory be true, rather than useful or pleasurable, has changed our social and psychological under-standing of ourselves and our fellows. The current vogue for lifelogging, and the rapid proliferation of digital memory-supporting technologies, may accelerate this change, and create dilemmas for policymakers, designers and social thinkers

    Summarisation & Visualisation of Large Volumes of Time-Series Sensor Data

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    a number of sensors, including an electricity usage sensor supplied by Episensor. This poses our second With the increasing ubiquity of sensor data, challenge, how to summarise an extended period of presenting this data in a meaningful way to electrictiy usage data for a home user. users is a challenge that must be addressed before we can easily deploy real-world sensor network interfaces in the home or workplace. In this paper, we will present one solution to the visualisation of large quantities of sensor data that is easy to understand and yet provides meaningful and intuitive information to a user, even when examining many weeks or months of historical data. We will illustrate this visulalisation technique with two real-world deployments of sensing the person and sensing the home

    Through the Lens of Color: An Interview with Gareth Doherty, Author of Paradoxes of Green: Landscapes of a City-State

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    This interview by Mark Tirpak with Gareth Doherty of Harvard University Graduate School of Design, focuses on his Paradoxes of Green: Landscapes of a City-State (University of California Press, 2017). With Paradoxes of Green (2017) and via the interview, Doherty recounts some of the findings of his ethnographic fieldwork in the Kingdom of Bahrain and describes tensions arising from differing conceptions of what ‘green’ means or signifies within this growing and predominantly arid region. An argument that Doherty makes in Paradoxes of Green (2017) is that color and form are interlinked, and that color deserves deeper consideration by policy-makers and other formal shapers of cities. The interview draws from Paradoxes of Green (2017) to discuss some of Doherty’s findings as well as his latest work on the intersections between landscape architecture and anthropology

    Helping children think: Gaze aversion and teaching

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    Looking away from an interlocutor's face during demanding cognitive activity can help adults answer challenging arithmetic and verbal-reasoning questions (Glenberg, Schroeder, & Robertson, 1998). However, such `gaze aversion' (GA) is poorly applied by 5-year-old school children (Doherty-Sneddon, Bruce, Bonner, Longbotham, & Doyle, 2002). In Experiment 1 we trained ten 5-year-old children to use GA while thinking about answers to questions. This trained group performed significantly better on challenging questions compared with 10 controls given no GA training. In Experiment 2 we found significant and monotonic age-related increments in spontaneous use of GA across three cohorts of ten 5-year-old school children (mean ages: 5;02, 5;06 and 5;08). Teaching and encouraging GA during challenging cognitive activity promises to be invaluable in promoting learning, particularly during early primary years

    Wideband Digital Intensive Doherty Concepts

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    Many applications require wide bandwidth transmitters, but unfortunately, they usually have way less than 50% average drain efficiency for their modulated signals. This low efficiency is a significant drawback in all wireless applications, both for battery power devices and base stations. The Doherty radio frequency (RF) power amplifier architecture is widely used to enhance the average efficiency for modulated signals in base stations. Its popularity is due to its relatively cheap and simple hardware and its suitability to handle high-power wideband modulated signals. However, even Doherty amplifiers often have less than 50% average efficiency and are restricted in their RF bandwidth.This thesis reviews recent research on the Doherty power amplifier (DPA) topology and discusses possible power and bandwidth efficiency improvements. In the second part of the thesis, another topology is introduced, which also provides Doherty-like behavior. That topology is called a Pseudo Doherty Load Modulated Balanced Amplifier (PD-LMBA). The performance of PD-LMBA is compared with “conventional” DPAs. Circuit design examples of DPA and PD-LMBA are given. The thesis concludes with a PD-LMBA prototype design, which appears to be very promising in its wideband performance.Electrical Engineering | Microelectronic

    A Wideband Two-Way Digital Doherty Transmitter in 40nm CMOS

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    A 40nm CMOS wideband digital Cartesian push-pull inverted Doherty operating in class-E is presented. Wideband Doherty operation is achieved over a 1.9-to-3GHz frequency band, using an off-chip power combining network. The fully digital transmitter (DTX) provides 25.3dBm peak power with a drain/DTX line-up efficiency (DE/SE) of 58.7%/44.9%, respectively, at 2.4GHz. When operated with a 160MHz 256-QAM OFDM signal, it achieves 46.1%/32.7% average DE/SE, with an ACLR and EVM better than −40.6dBc and −33.9dB, respectively, using a simple memory-less digital pre-distortion (DPD).Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Electronic

    Capture-24: Activity tracker dataset for human activity recognition

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    This dataset contains Axivity AX3 wrist-worn activity tracker data that were collected from 151 participants in 2014-2016 around the Oxfordshire area. Participants were asked to wear the device in daily living for a period of roughly 24 hours, amounting to a total of almost 4,000 hours. Vicon Autograph wearable cameras and Whitehall II sleep diaries were used to obtain the ground truth activities performed during the period (e.g. sitting watching TV, walking the dog, washing dishes, sleeping), resulting in more than 2,500 hours of labelled data. Accompanying code to analyse this data is available at https://github.com/activityMonitoring/capture24. The following papers describe the data collection protocol in full: i.) Gershuny J, Harms T, Doherty A, Thomas E, Milton K, Kelly P, Foster C (2020) Testing self-report time-use diaries against objective instruments in real time. Sociological Methodology doi: 10.1177/0081175019884591; ii.) Willetts M, Hollowell S, Aslett L, Holmes C, Doherty A. (2018) Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants. Scientific Reports. 8(1):7961. Regarding Data Protection, the Clinical Data Set will not include any direct subject identifiers. However, it is possible that the Data Set may contain certain information that could be used in combination with other information to identify a specific individual, such as a combination of activities specific to that individual ("Personal Data"). Accordingly, in the conduct of the Analysis, users will comply with all applicable laws and regulations relating to information privacy. Further, the user agrees to preserve the confidentiality of, and not attempt to identify, individuals in the Data Set
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