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Year Number of Results
1931 1
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1959 2
1963 1
1964 1
1965 1
1966 3
1967 3
1968 1
1969 4
1970 5
1971 6
1972 2
1973 10
1974 9
1975 72
1976 90
1977 53
1978 78
1979 76
1980 82
1981 102
1982 126
1983 152
1984 160
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1986 221
1987 198
1988 243
1989 328
1990 365
1991 492
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1993 543
1994 583
1995 613
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1997 523
1998 594
1999 669
2000 729
2001 765
2002 733
2003 813
2004 928
2005 1015
2006 1090
2007 1145
2008 1264
2009 1352
2010 1436
2011 1559
2012 1646
2013 1683
2014 1843
2015 1832
2016 1715
2017 1745
2018 1832
2019 1923
2020 2194
2021 2222
2022 2247
2023 2128
2024 2119
2025 22

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41,674 results

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Page 1
phylogatR: Phylogeographic data aggregation and repurposing.
Pelletier TA, Parsons DJ, Decker SK, Crouch S, Franz E, Ohrstrom J, Carstens BC. Pelletier TA, et al. Mol Ecol Resour. 2022 Nov;22(8):2830-2842. doi: 10.1111/1755-0998.13673. Epub 2022 Jul 12. Mol Ecol Resour. 2022. PMID: 35748425 Free PMC article.
It is more efficient to proceed by repurposing existing data and using automated data analysis. To facilitate data repurposing, we created a database (phylogatR) that aggregates data from different sources and conducts automated multiple sequence align …
It is more efficient to proceed by repurposing existing data and using automated data analysis. To facilitate data repu …
Secure Data Aggregation Based on End-to-End Homomorphic Encryption in IoT-Based Wireless Sensor Networks.
Kumar M, Sethi M, Rani S, Sah DK, AlQahtani SA, Al-Rakhami MS. Kumar M, et al. Sensors (Basel). 2023 Jul 6;23(13):6181. doi: 10.3390/s23136181. Sensors (Basel). 2023. PMID: 37448038 Free PMC article.
Additionally, if data are communicated across a WSN, then there is a higher likelihood of a wormhole attack within the data aggregation process. The proposed solution also ensures the early detection of wormhole attacks during data aggregation.. …
Additionally, if data are communicated across a WSN, then there is a higher likelihood of a wormhole attack within the data …
A Lightweight and Privacy-Friendly Data Aggregation Scheme against Abnormal Data.
Zhang J, Han H. Zhang J, et al. Sensors (Basel). 2022 Feb 14;22(4):1452. doi: 10.3390/s22041452. Sensors (Basel). 2022. PMID: 35214354 Free PMC article.
These inaccurate results not only harm the interests of users but also affect the decision-making of the power system. However, the existing data aggregation schemes do not consider the impact of abnormal data. How to filter out abnormal data is a chal …
These inaccurate results not only harm the interests of users but also affect the decision-making of the power system. However, the existing …
A Data Structure for Real-Time Aggregation Queries of Big Brain Networks.
Ganglberger FJ, Kaczanowska J, Haubensak W, Bühler K. Ganglberger FJ, et al. Neuroinformatics. 2020 Jan;18(1):131-149. doi: 10.1007/s12021-019-09428-9. Neuroinformatics. 2020. PMID: 31240560
Since current analytical workflows in neuroscience involve time-consuming manual data-aggregation, incorporating efficient techniques for handling big connectivity data is a necessity. We propose a novel data structure enabling the interactive explorat …
Since current analytical workflows in neuroscience involve time-consuming manual data-aggregation, incorporating efficient tec …
The Cosmos Collaborative: A Vendor-Facilitated Electronic Health Record Data Aggregation Platform.
Tarabichi Y, Frees A, Honeywell S, Huang C, Naidech AM, Moore JH, Kaelber DC. Tarabichi Y, et al. ACI open. 2021 Jan;5(1):e36-e46. doi: 10.1055/s-0041-1731004. ACI open. 2021. PMID: 35071993 Free PMC article.
Cosmos is a cross-institution, single EHR vendor-facilitated data aggregation tool. This work aims to describe the initiative and illustrate its potential utility through several use cases. ...Limitations are being vendor-specific, an "all or none" contribution mode …
Cosmos is a cross-institution, single EHR vendor-facilitated data aggregation tool. This work aims to describe the initiative …
The effect of data aggregation on dispersion estimates in count data models.
Errington A, Einbeck J, Cumming J, Rössler U, Endesfelder D. Errington A, et al. Int J Biostat. 2021 May 7;18(1):183-202. doi: 10.1515/ijb-2020-0079. Int J Biostat. 2021. PMID: 33962495 Free article.
For the modelling of count data, aggregation of the raw data over certain subgroups or predictor configurations is common practice. ...However, in biodosimetry in particular, but also beyond, the question of how the dispersion estimates for quasi-Poisson mode …
For the modelling of count data, aggregation of the raw data over certain subgroups or predictor configurations is comm …
Electronic health records: a critical appraisal of strengths and limitations.
Kataria S, Ravindran V. Kataria S, et al. J R Coll Physicians Edinb. 2020 Sep;50(3):262-268. doi: 10.4997/JRCPE.2020.309. J R Coll Physicians Edinb. 2020. PMID: 32936099 Review.
However, the jury is still out if the EHR has been worth it. There have been incidences of data breaches despite cybersecurity checks and of manipulation compromising clinicians' integrity and patients' safety. ...Artificial intelligence is now being used to overcome defic …
However, the jury is still out if the EHR has been worth it. There have been incidences of data breaches despite cybersecurity checks …
Privacy-Preserving IoT Data Aggregation Based on Blockchain and Homomorphic Encryption.
Loukil F, Ghedira-Guegan C, Boukadi K, Benharkat AN. Loukil F, et al. Sensors (Basel). 2021 Apr 2;21(7):2452. doi: 10.3390/s21072452. Sensors (Basel). 2021. PMID: 33918131 Free PMC article.
However, ensuring security and privacy in the IoT data aggregation process is a non-trivial task. Generally, the IoT data aggregation process is based on centralized servers. ...To this end, we propose PrivDA, a Privacy-preserving IoT Data Ag …
However, ensuring security and privacy in the IoT data aggregation process is a non-trivial task. Generally, the IoT data …
Taking the aggravation out of data aggregation: A conceptual guide to dealing with statistical issues related to the pooling of individual-level observational data.
Pollet TV, Stulp G, Henzi SP, Barrett L. Pollet TV, et al. Am J Primatol. 2015 Jul;77(7):727-40. doi: 10.1002/ajp.22405. Epub 2015 Mar 24. Am J Primatol. 2015. PMID: 25810242 Review.
Field data often include multiple observations taken from the same individual. In order to avoid pseudoreplication, it is commonplace to aggregate data, generating a mean score per individual, and then using these aggregated data in subsequent analyses. Ag …
Field data often include multiple observations taken from the same individual. In order to avoid pseudoreplication, it is commonplace …
41,674 results
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