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Published in 2020 at "Ecology and Evolution"
DOI: 10.1002/ece3.6362
Abstract: Abstract During the most recent decade, environmental DNA metabarcoding approaches have been both developed and improved to minimize the biological and technical biases in these protocols. However, challenges remain, notably those relating to primer design.…
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Keywords:
silico empirical;
empirical evaluation;
bat;
evaluation twelve ... See more keywords
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Published in 2017 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-017-0641-8
Abstract: Object recognition and identification is used in the development of automatic systems in various domains. Latest research indicates that the performance of such systems depend on the efficiency in feature extraction; robust feature description and…
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Keywords:
empirical evaluation;
rotational invariance;
translational rotational;
evaluation translational ... See more keywords
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Published in 2020 at "Journal on Multimodal User Interfaces"
DOI: 10.1007/s12193-020-00341-z
Abstract: In this contribution we studied how different rendering styles of a virtual human impacted users’ visual attention in an interactive medical training simulator. In a mixed design experiment, 78 participants interacted with a virtual human…
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Keywords:
virtual humans;
empirical evaluation;
humans appearance;
attention ... See more keywords
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Published in 2020 at "Finance Research Letters"
DOI: 10.1016/j.frl.2020.101517
Abstract: Abstract This paper aims to rank the influential nodes for Chinese A-share market by employing complex network analysis approach. More than one hundred directed weighted stock market networks are constructed by the methods of Engle-Granger…
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Keywords:
network;
empirical evaluation;
market;
influential nodes ... See more keywords
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Published in 2020 at "Journal of the Operational Research Society"
DOI: 10.1080/01605682.2019.1640592
Abstract: Abstract This study evaluates the effectiveness of mitigation strategies currently employed by retailers to manage operational issues related to inventory record inaccuracy (IRI) in retail stores. A simulation study of different IRI mitigation strategies, grounded…
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Keywords:
empirical evaluation;
iri mitigation;
mitigation strategies;
retail stores ... See more keywords
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Published in 2022 at "Clinical Gerontologist"
DOI: 10.1080/07317115.2022.2041142
Abstract: ABSTRACT Objectives The purpose of this study was to empirically examine a new psychoeducational intervention that was designed for African American caregivers. Methods African American caregivers (N = 49) to older adults with dementia were…
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Keywords:
american caregivers;
evaluation caregivers;
passage dementia;
african american ... See more keywords
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Published in 2021 at "International Journal of Pavement Engineering"
DOI: 10.1080/10298436.2021.1873327
Abstract: Anti-frost layers in road pavement structures are widely applied to cold areas internationally. They mitigate cracks, potholes and roughness caused by the freeze–thaw phenomenon. Although the anti-...
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Keywords:
frost layer;
empirical evaluation;
pavement;
anti frost ... See more keywords
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Published in 2021 at "Forest Science"
DOI: 10.1093/forsci/fxaa040
Abstract: It has been posited that US national forest administration is undergoing a governance transition characterized by an increase in the involvement and influence of non-state actors. One example of this new form of national forest…
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Keywords:
empirical evaluation;
evaluation impact;
pace scale;
national forest ... See more keywords
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Published in 2022 at "Network Neuroscience"
DOI: 10.1162/netn_a_00254
Abstract: Abstract Increased study and methodological innovation have led to growth in the field of fetal brain fMRI. An important gap yet to be addressed is optimization of fetal fMRI preprocessing. Rapid developmental changes, imaged within…
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Keywords:
evaluation human;
fetal fmri;
human fetal;
fmri preprocessing ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0271260
Abstract: In numerous classification problems, class distribution is not balanced. For example, positive examples are rare in the fields of disease diagnosis and credit card fraud detection. General machine learning methods are known to be suboptimal…
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Keywords:
performance;
classification;
machine learning;
imbalanced classification ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10227982
Abstract: Cell nuclei segmentation is a challenging task, especially in real applications, when the target images significantly differ between them. This task is also challenging for methods based on convolutional neural networks (CNNs), which have recently…
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Keywords:
cell nuclei;
empirical evaluation;
scenario;
segmentation ... See more keywords