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Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.25838
Abstract: Multi‐site MRI datasets are crucial for big data research. However, neuroimaging studies must face the batch effect. Here, we propose an approach that uses the predictive probabilities provided by Gaussian processes (GPs) to harmonize clinical‐based…
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Keywords:
clinical studies;
classification;
parkinson disease;
site classification ... See more keywords
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Published in 2023 at "Human brain mapping"
DOI: 10.1002/hbm.26343
Abstract: Several studies employ multi-site rs-fMRI data for major depressive disorder (MDD) identification, with a specific site as the to-be-analyzed target domain and other site(s) as the source domain. But they usually suffer from significant inter-site…
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Keywords:
dual expert;
collaborative learning;
brain;
site ... See more keywords
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Published in 2021 at "Journal of dental education"
DOI: 10.1002/jdd.12792
Abstract: PURPOSE This multi-site study examined dental students' postgraduate plans and factors affecting them, perceptions of pathways with the best future, and whether those postgraduate plans changed during dental school. METHODS An online survey was made…
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Keywords:
multi site;
students postgraduate;
site study;
factors affecting ... See more keywords
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Published in 2020 at "International Journal of Climatology"
DOI: 10.1002/joc.6480
Abstract: Precipitation generators that are able to simulate long‐term, continuous rainfall records, with the observed statistics preserved, have shown great utility in numerous hydro‐climatic applications. This study adopts precipitation generators from four open‐source or freely available…
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Keywords:
precipitation generators;
weather;
multi site;
rainfall data ... See more keywords
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Published in 2023 at "Small"
DOI: 10.1002/smll.202303721
Abstract: Although metal-containing organic polymers are becoming essential for modern applications in lighting, catalysis, and electronic devices, very little is known about their controlled metallic loading, which mainly limits their design to empirical mixing followed by…
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Keywords:
loading linear;
rational loading;
linear multi;
site ... See more keywords
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Published in 2022 at "Journal of Cancer Research and Clinical Oncology"
DOI: 10.1007/s00432-022-03948-9
Abstract: We aimed to compare the clinical characteristics, treatment efficacy and survival in patients with newly diagnosed multiple myeloma with single- versus multi-site extramedullary invasion. A total of 90 extramedullary multiple myeloma (EMM) patients were included.…
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Keywords:
multi site;
multiple myeloma;
site invasion;
site ... See more keywords
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Published in 2017 at "Journal of Child and Family Studies"
DOI: 10.1007/s10826-017-0804-7
Abstract: Circle of Security-Parenting (COS-P) is a widely used parenting intervention that is gaining popularity globally as it is currently being delivered across several continents. Despite the global uptake of COS-P, there is limited research on…
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Keywords:
intervention;
multi site;
community;
delivery ... See more keywords
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Published in 2020 at "Journal of Cardiac Failure"
DOI: 10.1016/j.cardfail.2020.09.368
Abstract: Introduction In addition to a large body of research that shows decision aids (DA) are associated with better patient experiences for many health decisions, a multi-site randomized controlled trial that compared a DA for left…
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Keywords:
implementation;
shared decision;
decision making;
cardiology ... See more keywords
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Published in 2019 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2018.12.022
Abstract: Development of organisms that live on contaminated soils depends on toxicity as well as several physical and chemical soil properties. We aimed to identify plant bioassays most responsive to contaminants and not to confounding factors…
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Keywords:
multi site;
plant;
confounding factors;
soil ... See more keywords
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Published in 2018 at "EBioMedicine"
DOI: 10.1016/j.ebiom.2018.03.017
Abstract: Background A lack of a sufficiently large sample at single sites causes poor generalizability in automatic diagnosis classification of heterogeneous psychiatric disorders such as schizophrenia based on brain imaging scans. Advanced deep learning methods may…
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Keywords:
schizophrenia;
classification;
multi site;
deep learning ... See more keywords
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Published in 2019 at "EBioMedicine"
DOI: 10.1016/j.ebiom.2019.08.023
Abstract: Background Current fMRI-based classification approaches mostly use functional connectivity or spatial maps as input, instead of exploring the dynamic time courses directly, which does not leverage the full temporal information. Methods Motivated by the ability…
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Keywords:
fmri;
multi site;
time courses;
time ... See more keywords