A high precision reference data set for pedestrian navigation using foot-mounted inertial sensors

2010 ◽  
Author(s):  
Michael Angermann ◽  
Patrick Robertson ◽  
Thomas Kemptner ◽  
Mohammed Khider
Keyword(s):  
High Precision ◽  
Reference Data ◽  
Inertial Sensors ◽  
Data Set ◽  
Pedestrian Navigation

scholarly journals A Physical Activity Reference Data-Set Recorded from Older Adults Using Body-Worn Inertial Sensors and Video Technology—The ADAPT Study Data-Set

Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 559 ◽  
Author(s):  
Alan Bourke ◽  
Espen Ihlen ◽  
Ronny Bergquist ◽  
Per Wik ◽  
Beatrix Vereijken ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Reference Data ◽  
Inertial Sensors ◽  
Study Data ◽  
Video Technology ◽  
Data Set

scholarly journals High-Precision Bidecadal Calibration of the Radiocarbon Time Scale, 500–2500 BC

Radiocarbon ◽  
1993 ◽  
Vol 35 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Gordon W. Pearson ◽  
Minze Stuiver
Keyword(s):  
High Precision ◽  
Time Scale ◽  
Count Rate ◽  
Basic Information ◽  
Data Set ◽  
Sole Purpose ◽  
Radon Decay

The sole purpose of this paper is to present a previously published 14C data set to which minor corrections have been applied. All basic information previously given is still applicable (Pearson & Stuiver 1986). The corrections are needed because 14C count-rate influences (radon decay in Seattle, a re-evaluation of the corrections applied for efficiency variation with time previously unrecognized in Belfast) had to be accounted for in more detail. Information on the radon correction is given in Stuiver and Becker (1993). The Belfast corrections were necessary because the original correction for efficiency variations with time was calculated using two suspect standards (these were shown to be suspect by recent observations) that overweighted the correction. A re-evaluation (Pearson & Qua 1993) now shows it to be almost insignificant, and the corrected dates (using the new correction) became older by about 16 years.

scholarly journals The Risk of Penetration–Aspiration Related to Residue in the Pharynx

2020 ◽  
Vol 29 (3) ◽  
pp. 1608-1617
Author(s):  
Catriona M. Steele ◽  
Melanie Peladeau-Pigeon ◽  
Emily Barrett ◽  
Talia S. Wolkin
Keyword(s):  
Retrospective Analysis ◽  
Reference Data ◽  
Research Data ◽  
Additional Material ◽  
Data Set ◽  
Pharyngeal Residue ◽  
Increased Risk ◽  
New Material ◽  
Thin Liquids ◽  
Penetration Aspiration Scale

Purpose Reference data from healthy adults under the age of 60 years suggest that the 75th and 95th percentiles for pharyngeal residue on swallows of thin liquids are 1% and 3%(C2-4) 2 , respectively. We explored how pharyngeal residue below versus above these values prior to a swallow predicts penetration–aspiration. Method The study involved retrospective analysis of a previous research data set from 305 adults at risk for dysphagia. Participants swallowed six thin boluses and three each of mildly, moderately, and extremely thick barium in videofluoroscopy. Raters measured preswallow residue in %(C2-4) 2 units and Penetration–Aspiration Scale (PAS) scores for each swallow. Swallows were classified as (a) “clean baseline” (with no preswallow residue), (b) “clearing” swallows of residue with no new material added, or (c) swallows of “additional material” plus preswallow residue. Frequencies of PAS scores of ≥ 3 were compared across swallow type by consistency according to residue severity (i.e., ≤ vs. > 1%(C2-4) 2 and ≤ vs. > 3%(C2-4) 2 . Results The data set comprised 2,541 clean baseline, 209 clearing, and 1,722 swallows of additional material. On clean baseline swallows, frequencies of PAS scores of ≥ 3 were 5% for thin and mildly thick liquids and 1% for moderately/extremely thick liquids. Compared to clean baseline swallows, the odds of penetration–aspiration on thin liquids increased 4.60-fold above the 1% threshold and 4.20-fold above the 3% threshold (mildly thick: 2.11-fold > 1%(C2-4) 2 , 2.26-fold > 3%(C2-4) 2 ). PAS scores of ≥ 3 did not occur with clearing swallows of moderately/extremely thick liquids. Lower frequencies of above-threshold preswallow residue were seen for swallows of additional material than for clearing swallows. Compared to clean baseline swallows, the odds of PAS scores of ≥ 3 on swallows of additional material increased ≥ 1.86-fold above the 1% threshold and ≥ 2.15-fold above the 3% threshold, depending on consistency. Conclusion The data suggest that a pharyngeal residue threshold of 1%(C2-4) 2 is a meaningful cut-point for delineating increased risk of penetration–aspiration on a subsequent swallow.

scholarly journals An updated global COI barcode reference data set for Fall Armyworm (Spodoptera frugiperda) and first record of this species in Bhutan

2020 ◽  
Author(s):  
Kiran Mahat ◽  
Andrew Mitchell ◽  
Tshelthrim Zangpo
Keyword(s):  
Spodoptera Frugiperda ◽  
Reference Data ◽  
Dna Barcode ◽  
Fall Armyworm ◽  
First Record ◽  
Molecular Techniques ◽  
Data Sets ◽  
Pest Species ◽  
Maize Crop ◽  
Data Set

AbstractWe report the first detection of Fall Armyworm (FAW), Spodoptera frugiperda (Smith, 1797), in Bhutan. FAW feeds on more than 300 plant species and is a serious pest of many. It has been spreading through Africa since 2016 and Asia since 2018. In Bhutan, this species was first detected in maize fields in the western part of the country in September 2019 and subsequently found infesting maize crop in southern parts of the country in December 2019 and April 2020. Using morphological and molecular techniques the presence of the first invading populations of S. frugiperda in Bhutan is confirmed through this study. We present an updated reference DNA barcode data set for FAW comprising 374 sequences, which can be used to reliably identify this serious pest species, and discuss some of the reasons why such compiled reference data sets are necessary, despite the publicly availability of the underlying data. We also report on a second armyworm species, the Northern Armyworm, Mythimna separata (Walker, 1865), in rice, maize and other crops in eighteen districts of Bhutan.

Proteomic analysis of rat microglia establishes a high-confidence reference data set of over 3000 proteins

PROTEOMICS ◽  
2011 ◽  
Vol 12 (2) ◽  
pp. 246-250 ◽  
Author(s):  
Harris Bell-Temin ◽  
David S. Barber ◽  
Ping Zhang ◽  
Bin Liu ◽  
Stanley M. Stevens
Keyword(s):  
Proteomic Analysis ◽  
Reference Data ◽  
High Confidence ◽  
Data Set

scholarly journals Curating GitHub for engineered software projects

2016 ◽  
Author(s):  
Nuthan Munaiah ◽  
Steven Kroh ◽  
Craig Cabrey ◽  
Meiyappan Nagappan
Keyword(s):  
Software Engineering ◽  
High Precision ◽  
Ground Truth ◽  
Software Project ◽  
Software Projects ◽  
Data Set ◽  
High Recall ◽  
Home Work ◽  
Reference Implementation ◽  
Engineering Practices

Software forges like GitHub host millions of repositories. Software engineering researchers have been able to take advantage of such a large corpora of potential study subjects with the help of tools like GHTorrent and Boa. However, the simplicity in querying comes with a caveat: there are limited means of separating the signal (e.g. repositories containing engineered software projects) from the noise (e.g. repositories containing home work assignments). The proportion of noise in a random sample of repositories could skew the study and may lead to researchers reaching unrealistic, potentially inaccurate, conclusions. We argue that it is imperative to have the ability to sieve out the noise in such large repository forges. We propose a framework, and present a reference implementation of the framework as a tool called reaper, to enable researchers to select GitHub repositories that contain evidence of an engineered software project. We identify software engineering practices (called dimensions) and propose means for validating their existence in a GitHub repository. We used reaper to measure the dimensions of 1,994,977 GitHub repositories. We then used the data set train classifiers capable of predicting if a given GitHub repository contains an engineered software project. The performance of the classifiers was evaluated using a set of 200 repositories with known ground truth classification. We also compared the performance of the classifiers to other approaches to classification (e.g. number of GitHub Stargazers) and found our classifiers to outperform existing approaches. We found stargazers-based classifier to exhibit high precision (96%) but an inversely proportional recall (27%). On the other hand, our best classifier exhibited a high precision (82%) and a high recall (83%). The stargazer-based criteria offers precision but fails to recall a significant potion of the population.

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