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41
Estimating seroprevalence of SARS-CoV-2 in Ohio: A Bayesian multilevel poststratification approach with multiple diagnostic tests
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Estimating seroprevalence of SARS-CoV-2 in Ohio: A Bayesian multilevel poststratification approach with multiple diagnostic tests

Proceedings of the National Academy of Sciences - PNAS, 2021-06, Vol.118 (26) [Peer Reviewed Journal]

Copyright National Academy of Sciences Jun 29, 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2015573118

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42
Suggestions for new organizational‐level item pools for the national Stress Check Program from management philosophy and mission statement: A qualitative study using unsupervised learning
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Suggestions for new organizational‐level item pools for the national Stress Check Program from management philosophy and mission statement: A qualitative study using unsupervised learning

Journal of occupational health, 2022-01, Vol.64 (1), p.e12335-n/a [Peer Reviewed Journal]

2022 The Authors. published by John Wiley & Sons Australia, Ltd on behalf of The Japan Society for Occupational Health ;2022 The Authors. Journal of Occupational Health published by John Wiley & Sons Australia, Ltd on behalf of The Japan Society for Occupational Health. ;2022. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1348-9585 ;ISSN: 1341-9145 ;EISSN: 1348-9585 ;DOI: 10.1002/1348-9585.12335 ;PMID: 35587039

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43
Statistical properties and pre-hit dynamics of price limit hits in the Chinese stock markets
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Statistical properties and pre-hit dynamics of price limit hits in the Chinese stock markets

PloS one, 2015-04, Vol.10 (4), p.e0120312-e0120312 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Wan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Wan et al 2015 Wan et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0120312 ;PMID: 25874716

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44
The impact of digital finance on household participation in risky financial markets: Evidence-based study from China
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The impact of digital finance on household participation in risky financial markets: Evidence-based study from China

PloS one, 2022-04, Vol.17 (4), p.e0265606-e0265606 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Ye et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Ye et al 2022 Ye et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0265606 ;PMID: 35390007

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45
TailCoR: A new and simple metric for tail correlations that disentangles the linear and nonlinear dependencies that cause extreme co-movements
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TailCoR: A new and simple metric for tail correlations that disentangles the linear and nonlinear dependencies that cause extreme co-movements

PloS one, 2023-01, Vol.18 (1), p.e0278599-e0278599 [Peer Reviewed Journal]

Copyright: © 2023 Babić et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Babić et al 2023 Babić et al ;2023 Babić et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0278599 ;PMID: 36595495

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46
Stock market comovements among Asian emerging economies: A wavelet-based approach
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Stock market comovements among Asian emerging economies: A wavelet-based approach

PloS one, 2020-10, Vol.15 (10), p.e0240472-e0240472 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Younis et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Younis et al 2020 Younis et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0240472 ;PMID: 33044995

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47
Stock price prediction using principal components
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Stock price prediction using principal components

PloS one, 2020-03, Vol.15 (3), p.e0230124-e0230124 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Ghorbani, Chong. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Ghorbani, Chong 2020 Ghorbani, Chong ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0230124 ;PMID: 32196528

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48
Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations
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Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations

PloS one, 2019-10, Vol.14 (10), p.e0223593-e0223593 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Stoean et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Stoean et al 2019 Stoean et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0223593 ;PMID: 31600306

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49
The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies
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The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies

PloS one, 2021-01, Vol.16 (1), p.e0245904-e0245904 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Naimy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Naimy et al 2021 Naimy et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0245904 ;PMID: 33513150

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50
Analyzing influence of COVID-19 on crypto & financial markets and sentiment analysis using deep ensemble model
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Analyzing influence of COVID-19 on crypto & financial markets and sentiment analysis using deep ensemble model

PloS one, 2023-09, Vol.18 (9), p.e0286541-e0286541 [Peer Reviewed Journal]

COPYRIGHT 2023 Public Library of Science ;2023 Washington et al 2023 Washington et al ;2023 Washington et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0286541

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51
The October 2014 United States Treasury bond flash crash and the contributory effect of mini flash crashes
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Article
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The October 2014 United States Treasury bond flash crash and the contributory effect of mini flash crashes

PloS one, 2017-11, Vol.12 (11), p.e0186688-e0186688 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Levine et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Levine et al 2017 Levine et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0186688 ;PMID: 29091931

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52
Relation between financial market structure and the real economy: comparison between clustering methods
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Relation between financial market structure and the real economy: comparison between clustering methods

PloS one, 2015-03, Vol.10 (3), p.e0116201-e0116201 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Musmeci et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Musmeci et al 2015 Musmeci et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0116201 ;PMID: 25786703

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53
The upper bound of cumulative return of a trading series
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The upper bound of cumulative return of a trading series

PloS one, 2022-04, Vol.17 (4), p.e0267239-e0267239 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Yang et al 2022 Yang et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0267239 ;PMID: 35482739

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54
Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules
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Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules

PloS one, 2023-05, Vol.18 (5), p.e0284918-e0284918 [Peer Reviewed Journal]

Copyright: © 2023 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Chen et al 2023 Chen et al ;2023 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0284918 ;PMID: 37167329

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55
DPP: Deep predictor for price movement from candlestick charts
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DPP: Deep predictor for price movement from candlestick charts

PloS one, 2021-06, Vol.16 (6), p.e0252404-e0252404 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;2021 Hung, Chen. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Hung, Chen 2021 Hung, Chen ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0252404 ;PMID: 34153042

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56
Loss of structural balance in stock markets
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Loss of structural balance in stock markets

Scientific reports, 2021-06, Vol.11 (1), p.12230-12230, Article 12230 [Peer Reviewed Journal]

The Author(s) 2021. corrected publication 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021, corrected publication 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-91266-4 ;PMID: 34108544

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57
Information flow dynamics between geopolitical risk and major asset returns
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Information flow dynamics between geopolitical risk and major asset returns

PloS one, 2023-04, Vol.18 (4), p.e0284811-e0284811 [Peer Reviewed Journal]

Copyright: © 2023 Umar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Umar et al 2023 Umar et al ;2023 Umar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0284811 ;PMID: 37098028

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58
The Influence of Financial Development on Energy Consumption: Worldwide Evidence
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The Influence of Financial Development on Energy Consumption: Worldwide Evidence

International journal of environmental research and public health, 2020-02, Vol.17 (4), p.1428 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph17041428 ;PMID: 32102179

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59
Country-level institutional quality and financial system efficiency: An international evidence
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Country-level institutional quality and financial system efficiency: An international evidence

PloS one, 2023-08, Vol.18 (8), p.e0290511-e0290511 [Peer Reviewed Journal]

COPYRIGHT 2023 Public Library of Science ;2023 Khan et al 2023 Khan et al ;2023 Khan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0290511

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60
Deep reinforcement learning stock market trading, utilizing a CNN with candlestick images
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Deep reinforcement learning stock market trading, utilizing a CNN with candlestick images

PloS one, 2022-02, Vol.17 (2), p.e0263181-e0263181 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Brim, Flann. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Brim, Flann 2022 Brim, Flann ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0263181 ;PMID: 35180250

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