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16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses
16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses
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16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses

PLoS computational biology, 2019-02, Vol.15 (2), p.e1006721-e1006721 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Woloszynek 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 Woloszynek et al 2019 Woloszynek et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1006721 ;PMID: 30807567

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2
2 Detection of Grayscale Image Implementation Using Multilayer Perceptron
2 Detection of Grayscale Image Implementation Using Multilayer Perceptron
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2 Detection of Grayscale Image Implementation Using Multilayer Perceptron

Journal of physics. Conference series, 2021-01, Vol.1737 (1), p.12013 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1737/1/012013

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3
21st century (clinical) decision support in nursing and allied healthcare. Developing a learning health system: a reasoned design of a theoretical framework
21st century (clinical) decision support in nursing and allied healthcare. Developing a learning health system: a reasoned design of a theoretical framework
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21st century (clinical) decision support in nursing and allied healthcare. Developing a learning health system: a reasoned design of a theoretical framework

BMC medical informatics and decision making, 2023-12, Vol.23 (1), p.279-279, Article 279 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed 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. ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-023-02372-4 ;PMID: 38053104

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4
2327: Prescription opioid dependence in Western New York: Using data analytics to find an answer to the opioid epidemic
2327: Prescription opioid dependence in Western New York: Using data analytics to find an answer to the opioid epidemic
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2327: Prescription opioid dependence in Western New York: Using data analytics to find an answer to the opioid epidemic

Journal of clinical and translational science, 2017-09, Vol.1 (S1), p.15-15 [Peer Reviewed Journal]

The Association for Clinical and Translational Science 2018 This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;The Association for Clinical and Translational Science 2018 2018 The Association for Clinical and Translational Science ;ISSN: 2059-8661 ;EISSN: 2059-8661 ;DOI: 10.1017/cts.2017.69

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5
2nd International Conference on Computing and Applied Informatics 2017
2nd International Conference on Computing and Applied Informatics 2017
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2nd International Conference on Computing and Applied Informatics 2017

Journal of physics. Conference series, 2018-03, Vol.978 (1) [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2018. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/978/1/011001

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6
318 Optimizing the Identification and Prediction of Statin Intolerance to Improve Statin Adherence Using Natural Language Processing and Machine Learning
318 Optimizing the Identification and Prediction of Statin Intolerance to Improve Statin Adherence Using Natural Language Processing and Machine Learning
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318 Optimizing the Identification and Prediction of Statin Intolerance to Improve Statin Adherence Using Natural Language Processing and Machine Learning

Journal of clinical and translational science, 2023-04, Vol.7 (s1), p.95-95 [Peer Reviewed Journal]

The Author(s), 2023. The Association for Clinical and Translational Science. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Association for Clinical and Translational Science 2023 2023 The Association for Clinical and Translational Science ;ISSN: 2059-8661 ;EISSN: 2059-8661 ;DOI: 10.1017/cts.2023.369

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7
360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet
360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet
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360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet

EAI endorsed transactions on scalable information systems, 2015, Vol.2 (6), p.1-5 [Peer Reviewed Journal]

2015. 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. ;EISSN: 2032-9407 ;DOI: 10.4108/icst.intetain.2015.259631

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8
3D Avatar Approach for Continuous Sign Movement Using Speech/Text
3D Avatar Approach for Continuous Sign Movement Using Speech/Text
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3D Avatar Approach for Continuous Sign Movement Using Speech/Text

Applied sciences, , Vol.11 (8), p.3439 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11083439

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9
3D Hand Gesture Representation and Recognition through Deep Joint Distance Measurements
3D Hand Gesture Representation and Recognition through Deep Joint Distance Measurements
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3D Hand Gesture Representation and Recognition through Deep Joint Distance Measurements

International journal of advanced computer science & applications, 2020, Vol.11 (4)

2020. This work is licensed under https://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. ;ISSN: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2020.0110496

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10
3D Visualization of Sentiment Measures and Sentiment Classification using Combined Classifier for Customer Product Reviews
3D Visualization of Sentiment Measures and Sentiment Classification using Combined Classifier for Customer Product Reviews
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3D Visualization of Sentiment Measures and Sentiment Classification using Combined Classifier for Customer Product Reviews

International Journal of Advanced Computer Science and Applications, 2018, Vol.9 (5)

2018. This work is licensed under https://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. ;ISSN: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2018.090508

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11
3rd Annual International Conference on Information System and Artificial Intelligence (ISAI2018)
3rd Annual International Conference on Information System and Artificial Intelligence (ISAI2018)
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3rd Annual International Conference on Information System and Artificial Intelligence (ISAI2018)

Journal of physics. Conference series, 2018-08, Vol.1069 (1), p.11001 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2018. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1069/1/011001

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12
40-Hz auditory steady-state responses and the complex information processing: An exploratory study in healthy young males
40-Hz auditory steady-state responses and the complex information processing: An exploratory study in healthy young males
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40-Hz auditory steady-state responses and the complex information processing: An exploratory study in healthy young males

PloS one, 2019-10, Vol.14 (10), p.e0223127-e0223127 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Parciauskaite 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 Parciauskaite et al 2019 Parciauskaite et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0223127 ;PMID: 31589626

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13
40 years of research on eating disorders in domain-specific journals: Bibliometrics, network analysis, and topic modeling
40 years of research on eating disorders in domain-specific journals: Bibliometrics, network analysis, and topic modeling
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40 years of research on eating disorders in domain-specific journals: Bibliometrics, network analysis, and topic modeling

PloS one, 2022-12, Vol.17 (12), p.e0278981-e0278981 [Peer Reviewed Journal]

Copyright: © 2022 Carlos A. Almenara. 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 2022 Public Library of Science ;2022 Carlos A. Almenara. 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 Carlos A. Almenara 2022 Carlos A. Almenara ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0278981 ;PMID: 36520823

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14
4349 Survey of Regulatory Reforms to Address Comprehension of Clinical Trial Results
4349 Survey of Regulatory Reforms to Address Comprehension of Clinical Trial Results
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4349 Survey of Regulatory Reforms to Address Comprehension of Clinical Trial Results

Journal of clinical and translational science, 2020-06, Vol.4 (s1), p.115-115 [Peer Reviewed Journal]

2020 This article is published under (https://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. ;The Association for Clinical and Translational Science 2020 2020 The Association for Clinical and Translational Science ;ISSN: 2059-8661 ;EISSN: 2059-8661 ;DOI: 10.1017/cts.2020.350

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15
47 Operationalising a friends and family test natural language processing pipeline
47 Operationalising a friends and family test natural language processing pipeline
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47 Operationalising a friends and family test natural language processing pipeline

BMJ paediatrics open, 2023-12, Vol.7 (Suppl 2), p.A8-A8 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ. ;2023 Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ. ;EISSN: 2399-9772 ;DOI: 10.1136/bmjpo-2023-GOSH.14

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16
4K Real Time Image to Image Translation Network With Transformers
4K Real Time Image to Image Translation Network With Transformers
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4K Real Time Image to Image Translation Network With Transformers

IEEE access, 2022, Vol.10, p.73057-73067 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2022.3189649 ;CODEN: IAECCG

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17
5335 days of Implementation Science: using natural language processing to examine publication trends and topics
5335 days of Implementation Science: using natural language processing to examine publication trends and topics
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5335 days of Implementation Science: using natural language processing to examine publication trends and topics

Implementation science : IS, 2021-04, Vol.16 (1), p.47-47, Article 47 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed 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 ;ISSN: 1748-5908 ;EISSN: 1748-5908 ;DOI: 10.1186/s13012-021-01120-4 ;PMID: 33902657

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18
9 Free text notes added to a patient’s allergy status in electronic prescribing systems digitally analysed for better usability
9 Free text notes added to a patient’s allergy status in electronic prescribing systems digitally analysed for better usability
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9 Free text notes added to a patient’s allergy status in electronic prescribing systems digitally analysed for better usability

BMJ health & care informatics, 2022-11, Vol.29 (Suppl 1), p.A5-A6 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2022 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2632-1009 ;DOI: 10.1136/bmjhci-2022-FCIASC.9

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19
A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence
A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence
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A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence

Materials, 2024-02, Vol.17 (5), p.1088 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2024 by the authors. 2024 ;ISSN: 1996-1944 ;EISSN: 1996-1944 ;DOI: 10.3390/ma17051088 ;PMID: 38473560

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20
A2–C1-TASEME EKSAMITEKSTIDE KÄÄNDSÕNAKASUTUS
A2–C1-TASEME EKSAMITEKSTIDE KÄÄNDSÕNAKASUTUS
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A2–C1-TASEME EKSAMITEKSTIDE KÄÄNDSÕNAKASUTUS

Eesti Rakenduslingvistika Ühingu aastaraamat, 2022-06, Vol.18 (18), p.33-53 [Peer Reviewed Journal]

ISSN: 1736-2563 ;EISSN: 2228-0677 ;DOI: 10.5128/ERYa18.03

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