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Published in 2021 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13231
Abstract: Abstract Purpose To develop a method for automatically detecting needles from CT images, which can be used in image‐guided lung interstitial brachytherapy to assist needle placement assessment and dose distribution optimization. Material and Methods Based…
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Keywords:
random sample;
image;
brachytherapy;
sample consensus ... See more keywords
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Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.107407
Abstract: Abstract In this paper, a new filter named measurement-driven sequential random sample consensus Gaussian mixture probability hypothesis density (MD-S-RANSAC-GM-PHD) filter is proposed for estimating the trajectory of a ballistic target during its coast phase. Unlike…
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Keywords:
phd;
measurement driven;
random sample;
target ... See more keywords
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Published in 2018 at "Applied Physics Letters"
DOI: 10.1063/1.5026462
Abstract: In X-ray tomography, ring-shaped artifacts present in the reconstructed slices are an inherent problem degrading the global image quality and hindering the extraction of quantitative information. To overcome this issue, we propose a strategy for…
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Keywords:
efficient correction;
nanotomography;
correction;
sample displacement ... See more keywords
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Published in 2019 at "Statistics"
DOI: 10.1080/02331888.2019.1624754
Abstract: ABSTRACT This paper constructs quantile confidence intervals based on extended simple random sample (SRS) from a finite population, where ranks of population units are all known. Extended simple random sample borrows additional information from unmeasured…
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Keywords:
confidence;
confidence intervals;
simple random;
random sample ... See more keywords
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Published in 2022 at "Hepatology Research"
DOI: 10.1111/hepr.13821
Abstract: Fatty liver is the most common liver disease. This study examined fatty liver and advanced fibrosis prevalence in a random sample of the Japanese general population.
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Keywords:
fatty liver;
advanced fibrosis;
general population;
random sample ... See more keywords
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Published in 2019 at "Journal of Big Data"
DOI: 10.1186/s40537-019-0205-4
Abstract: Data scientists need scalable methods to explore and clean big data before applying advanced data analysis and mining algorithms. In this paper, we propose the RSP-Explore method to enable data scientists to iteratively explore big…
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Keywords:
big data;
sample data;
random sample;
rsp ... See more keywords
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Published in 2022 at "Pediatrics"
DOI: 10.1542/peds.2020-049437v
Abstract: BACKGROUND AND OBJECTIVES Autistic children and children with attention-deficit/hyperactivity disorder (ADHD) may have more frequent visits to the emergency department (ED). We aim to identify the primary reasons for ED visits among autistic children and…
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Keywords:
emergency;
autistic children;
children adhd;
disorders visits ... See more keywords
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Published in 2018 at "Mathematical Methods of Statistics"
DOI: 10.3103/s1066530718010039
Abstract: The class of limit distribution functions (df’s) of the random bivariate extreme, central and intermediate generalized order statistics (gos) from independent and identically distributed random variables (rv’s) is fully characterized. The cases, when the random…
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Keywords:
generalized order;
sample size;
random sample;
order statistics ... See more keywords
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1
Published in 2021 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph18063188
Abstract: Lack of knowledge around seroprevalence levels of COVID-19 in Poland was the reason for the implementation of a seroepidemiological study in the Katowice Region (2,100,000 inhabitants). In October–November 2020, a questionnaire examination and measurement of…
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Keywords:
poland;
seroprevalence;
katowice region;
random sample ... See more keywords
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Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph191912969
Abstract: COVID-19 expanded rapidly throughout the world, with enormous health, social, and economic consequences. Mental health is the most affected by extreme negative emotions and stress, but it has been an underestimated part of human life…
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Keywords:
coronavirus;
random sample;
non coronavirus;
covid memes ... See more keywords
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Published in 2021 at "Nutrients"
DOI: 10.3390/nu13051415
Abstract: The relationship between fruit and vegetable intake and telomere length was examined using a cross-sectional design and an NHANES random sample of 5448 U.S. adults. Fruit and vegetable (F&V) consumption was assessed using a 24…
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Keywords:
vegetable intake;
intake;
telomere length;
random sample ... See more keywords