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1
Sample selection, recruitment and participation rates in health examination surveys in Europe--experience from seven national surveys
Sample selection, recruitment and participation rates in health examination surveys in Europe--experience from seven national surveys
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Sample selection, recruitment and participation rates in health examination surveys in Europe--experience from seven national surveys

BMC medical research methodology, 2015-10, Vol.15 (1), p.78-78, Article 78 [Peer Reviewed Journal]

COPYRIGHT 2015 BioMed Central Ltd. ;Copyright BioMed Central 2015 ;Mindell et al. 2015 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-015-0072-4 ;PMID: 26438235

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2
Transfusion practice in the non-bleeding critically ill: an international online survey-the TRACE survey
Transfusion practice in the non-bleeding critically ill: an international online survey-the TRACE survey
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Transfusion practice in the non-bleeding critically ill: an international online survey-the TRACE survey

Critical care (London, England), 2019-09, Vol.23 (1), p.309-309, Article 309 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;2019. 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). 2019 ;ISSN: 1364-8535 ;EISSN: 1466-609X ;DOI: 10.1186/s13054-019-2591-6 ;PMID: 31511083

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3
Perceived Barriers to Implementing Individual Choosing Wisely® Recommendations in Two National Surveys of Primary Care Providers
Perceived Barriers to Implementing Individual Choosing Wisely® Recommendations in Two National Surveys of Primary Care Providers
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Perceived Barriers to Implementing Individual Choosing Wisely® Recommendations in Two National Surveys of Primary Care Providers

Journal of general internal medicine : JGIM, 2017-02, Vol.32 (2), p.210-217 [Peer Reviewed Journal]

The Author(s) 2016 ;Journal of General Internal Medicine is a copyright of Springer, (2016). All Rights Reserved. ;ISSN: 0884-8734 ;EISSN: 1525-1497 ;DOI: 10.1007/s11606-016-3853-5 ;PMID: 27599491

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4
Metaheuristic research: a comprehensive survey
Metaheuristic research: a comprehensive survey
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Metaheuristic research: a comprehensive survey

The Artificial intelligence review, 2019-12, Vol.52 (4), p.2191-2233 [Peer Reviewed Journal]

Springer Science+Business Media B.V., part of Springer Nature 2018 ;COPYRIGHT 2019 Springer ;Artificial Intelligence Review is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-017-9605-z

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5
Correction: Impact of sampling and data collection methods on maternity survey response: a randomised controlled trial of paper and push‑to‑web surveys and a concurrent social media survey
Correction: Impact of sampling and data collection methods on maternity survey response: a randomised controlled trial of paper and push‑to‑web surveys and a concurrent social media survey
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Correction: Impact of sampling and data collection methods on maternity survey response: a randomised controlled trial of paper and push‑to‑web surveys and a concurrent social media survey

BMC medical research methodology, 2024-04, Vol.24 (1), p.100-100 [Peer Reviewed Journal]

COPYRIGHT 2024 BioMed Central Ltd. ;2024. 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) 2024 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-024-02216-3 ;PMID: 38684950

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6
Dataset search: a survey
Dataset search: a survey
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Dataset search: a survey

The VLDB journal, 2020, Vol.29 (1), p.251-272

The Author(s) 2019 ;ISSN: 1066-8888 ;EISSN: 0949-877X ;DOI: 10.1007/s00778-019-00564-x

Digital Resources/Online E-Resources

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7
Estimating Catastrophic Health Expenditures from Household Surveys: Evidence from Living Standard Measurement Surveys (LSMS)-Integrated Surveys on Agriculture (ISA) from Sub-Saharan Africa
Estimating Catastrophic Health Expenditures from Household Surveys: Evidence from Living Standard Measurement Surveys (LSMS)-Integrated Surveys on Agriculture (ISA) from Sub-Saharan Africa
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Estimating Catastrophic Health Expenditures from Household Surveys: Evidence from Living Standard Measurement Surveys (LSMS)-Integrated Surveys on Agriculture (ISA) from Sub-Saharan Africa

Applied health economics and health policy, 2020-12, Vol.18 (6), p.781-788 [Peer Reviewed Journal]

The Author(s) 2020 ;Copyright Springer Nature B.V. Dec 2020 ;ISSN: 1175-5652 ;EISSN: 1179-1896 ;DOI: 10.1007/s40258-020-00609-1 ;PMID: 32909224

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8
A survey of transfer learning
A survey of transfer learning
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A survey of transfer learning

Journal of big data, 2016-05, Vol.3 (1), Article 9 [Peer Reviewed Journal]

The Author(s) 2016 ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-016-0043-6

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9
A survey on semi-supervised learning
A survey on semi-supervised learning
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A survey on semi-supervised learning

Machine learning, 2020-02, Vol.109 (2), p.373-440 [Peer Reviewed Journal]

The Author(s) 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. This work is published 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05855-6

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10
Exploring physician specialist response rates to web-based surveys
Exploring physician specialist response rates to web-based surveys
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Exploring physician specialist response rates to web-based surveys

BMC medical research methodology, 2015-04, Vol.15 (1), p.32-32, Article 32 [Peer Reviewed Journal]

COPYRIGHT 2015 BioMed Central Ltd. ;Cunningham et al.; licensee BioMed Central. 2015 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-015-0016-z ;PMID: 25888346

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11
Multi-agent deep reinforcement learning: a survey
Multi-agent deep reinforcement learning: a survey
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Multi-agent deep reinforcement learning: a survey

The Artificial intelligence review, 2022-02, Vol.55 (2), p.895-943 [Peer Reviewed Journal]

The Author(s) 2021 ;COPYRIGHT 2022 Springer ;The Author(s) 2021. 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. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-021-09996-w

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12
The Kilo-Degree Survey
The Kilo-Degree Survey
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The Kilo-Degree Survey

Experimental astronomy, 2013, Vol.35 (1-2), p.25-44 [Peer Reviewed Journal]

The Author(s) 2012 ;ISSN: 0922-6435 ;EISSN: 1572-9508 ;DOI: 10.1007/s10686-012-9306-1

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13
Psychometric properties of a nationwide survey for adults with and without diabetes: the "disease knowledge and information needs - diabetes mellitus (2017)" survey
Psychometric properties of a nationwide survey for adults with and without diabetes: the "disease knowledge and information needs - diabetes mellitus (2017)" survey
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Psychometric properties of a nationwide survey for adults with and without diabetes: the "disease knowledge and information needs - diabetes mellitus (2017)" survey

BMC public health, 2020-02, Vol.20 (1), p.192-192, Article 192 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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). 2020 ;ISSN: 1471-2458 ;EISSN: 1471-2458 ;DOI: 10.1186/s12889-020-8296-6 ;PMID: 32028928

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14
A survey on graph kernels
A survey on graph kernels
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A survey on graph kernels

Applied network science, 2020-01, Vol.5 (1), p.1-42, Article 6 [Peer Reviewed Journal]

The Author(s) 2019 ;Applied Network Science is a copyright of Springer, (2019). All Rights Reserved. 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. ;ISSN: 2364-8228 ;EISSN: 2364-8228 ;DOI: 10.1007/s41109-019-0195-3

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15
Attention mechanisms in computer vision: A survey
Attention mechanisms in computer vision: A survey
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Attention mechanisms in computer vision: A survey

Computational visual media (Beijing), 2022-09, Vol.8 (3), p.331-368 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 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. ;ISSN: 2096-0433 ;EISSN: 2096-0662 ;DOI: 10.1007/s41095-022-0271-y

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16
WHO/UNEP global surveys of PCDDs, PCDFs, PCBs and DDTs in human milk and benefit–risk evaluation of breastfeeding
WHO/UNEP global surveys of PCDDs, PCDFs, PCBs and DDTs in human milk and benefit–risk evaluation of breastfeeding
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WHO/UNEP global surveys of PCDDs, PCDFs, PCBs and DDTs in human milk and benefit–risk evaluation of breastfeeding

Archives of Toxicology. Archiv für Toxikologie, 2017-01, Vol.91 (1), p.83-96 [Peer Reviewed Journal]

The Author(s) 2016 ;Archives of Toxicology is a copyright of Springer, 2017. ;ISSN: 0340-5761 ;ISSN: 1432-0738 ;EISSN: 1432-0738 ;DOI: 10.1007/s00204-016-1802-z ;PMID: 27438348

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17
Characterization of immunization secondary analyses using demographic and health surveys (DHS) and multiple indicator cluster surveys (MICS), 2006-2018
Characterization of immunization secondary analyses using demographic and health surveys (DHS) and multiple indicator cluster surveys (MICS), 2006-2018
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Characterization of immunization secondary analyses using demographic and health surveys (DHS) and multiple indicator cluster surveys (MICS), 2006-2018

BMC public health, 2021-02, Vol.21 (1), p.351-351, Article 351 [Peer Reviewed Journal]

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: 1471-2458 ;EISSN: 1471-2458 ;DOI: 10.1186/s12889-021-10364-0 ;PMID: 33581740

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18
Salient object detection: A survey
Salient object detection: A survey
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Salient object detection: A survey

Computational visual media (Beijing), 2019-06, Vol.5 (2), p.117-150 [Peer Reviewed Journal]

The Author(s) 2019 ;The Author(s) 2019. 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. ;ISSN: 2096-0433 ;EISSN: 2096-0662 ;DOI: 10.1007/s41095-019-0149-9

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19
Vision-based human activity recognition: a survey
Vision-based human activity recognition: a survey
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Vision-based human activity recognition: a survey

Multimedia tools and applications, 2020-11, Vol.79 (41-42), p.30509-30555 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-020-09004-3

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20
Fuzzing: a survey
Fuzzing: a survey
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Fuzzing: a survey

Cybersecurity (Singapore), 2018-06, Vol.1 (1), p.1-13, Article 6 [Peer Reviewed Journal]

The Author(s) 2018 ;The Author(s) 2018. 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. ;ISSN: 2523-3246 ;EISSN: 2523-3246 ;DOI: 10.1186/s42400-018-0002-y

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