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Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27368
Abstract: High intensity focused ultrasound (HIFU) has the potential to locally and non‐invasively treat cancer with fewer side effects than alternative therapies. However, motion and tissue heterogeneity in the abdomen can compromise the HIFU focus and…
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Keywords:
motion compensation;
thermometry;
using principal;
magnetic resonance ... See more keywords
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Published in 2018 at "Progress in Nuclear Energy"
DOI: 10.1016/j.pnucene.2017.11.012
Abstract: Abstract The estimation of reliability of a passive system employed in innovative nuclear reactors has been a challenging assignment due to substantial involvement of natural convection and gravity in its function. This involvement warrants phenomenological…
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Keywords:
passive system;
system;
regression;
using principal ... See more keywords
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Published in 2022 at "Nutrition and Cancer"
DOI: 10.1080/01635581.2022.2047739
Abstract: Abstract We investigated the association between dietary patterns (DPs) and bladder cancer (BC) using principal component analysis (PCA) and reduced rank regression (RRR). This case-control study comprised 102 BC patients and 197 controls aged ≥…
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Keywords:
trans fatty;
using principal;
risk;
bladder cancer ... See more keywords
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Published in 2017 at "Interpretation"
DOI: 10.1190/int-2016-0209.1
Abstract: AbstractSeismic fault detection using principal component analysis (PCA) is an effective method for interpreting fault distribution and orientations in the Bakken Formation. The PCA fault attribute indicates significantly different, and geologically more plausible, 3D fault…
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Keywords:
fault;
fault detection;
using principal;
detection using ... See more keywords
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Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1010184
Abstract: Confounding factors exist widely in various biological data owing to technical variations, population structures and experimental conditions. Such factors may mask the true signals and lead to spurious associations in the respective biological data, making…
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Keywords:
using principal;
pcoa;
principal coordinate;
confounding factors ... See more keywords
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Published in 2022 at "Axioms"
DOI: 10.3390/axioms11030135
Abstract: Recently, machine-learning algorithms and existing financial data-analysis methods have been actively studied. Although the term structure of government bonds has been well-researched, the majority of studies only analyze the characteristics of one country in detail…
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Keywords:
using principal;
principal component;
analysis;
term structure ... See more keywords
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Published in 2021 at "Healthcare"
DOI: 10.3390/healthcare9101321
Abstract: Kinematics data are primary biomechanical parameters. A principal component analysis (PCA) of waveforms is a statistical approach used to explore patterns of variability in biomechanical curve datasets. Differences in experienced and recreational runners’ kinematic variables…
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Keywords:
principal component;
using principal;
kinematics;
recreational runners ... See more keywords
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Published in 2020 at "Medicina"
DOI: 10.3390/medicina56070360
Abstract: Background and Objectives: This study aimed to group diseases classified by the International Classification of Diseases using principal component analysis, and discuss a systematic approach to reducing the preventable death rate from a perspective of…
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Keywords:
principal component;
using principal;
analysis;
mortality ... See more keywords