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Showing 1 to 12 of 14 entries
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A comparison of several score cutting procedures and their effects on success rates.

Annual Conference on Research in Medical Education. Conference on Research in Medical Education

Skakun EN, Kling S.
PMID: 7458233
Annu Conf Res Med Educ. 1980;(19):9-14.

No abstract available.

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Skakun EN, Kling S. A comparison of several score cutting procedures and their effects on success rates. Annu Conf Res Med Educ. 1980;(19):9-14
Skakun, E. N., & Kling, S. (1980). A comparison of several score cutting procedures and their effects on success rates. Annual Conference on Research in Medical Education. Conference on Research in Medical Education, (19), 9-14.
Skakun, E N, and Kling, S. "A comparison of several score cutting procedures and their effects on success rates." Annual Conference on Research in Medical Education. Conference on Research in Medical Education vol. ,19 (1980): 9-14.
Skakun EN, Kling S. A comparison of several score cutting procedures and their effects on success rates. Annu Conf Res Med Educ. 1980;(19):9-14. PMID: 7458233.
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Multi-spectral misregistration of Sentinel-2A images: analysis and implications for potential applications.

IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society

Skakun S, Vermote E, Roger JC, Justice C.
PMID: 29893382
IEEE Geosci Remote Sens Lett. 2017 Dec;14(12):2408-2412. doi: 10.1109/LGRS.2017.2766448. Epub 2017 Nov 10.

This study aims at analyzing sub-pixel misregistration between multi-spectral images acquired by the Multi-Spectral Instrument (MSI) aboard Sentinel-2A remote sensing satellite, and exploring its potential for moving target and cloud detection. By virtue of its hardware design, MSI's detectors...

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Skakun S, Vermote E, Roger JC, et al. Multi-spectral misregistration of Sentinel-2A images: analysis and implications for potential applications. IEEE Geosci Remote Sens Lett. 2017;14(12):2408-2412doi: 10.1109/LGRS.2017.2766448.
Skakun, S., Vermote, E., Roger, J. C., & Justice, C. (2017). Multi-spectral misregistration of Sentinel-2A images: analysis and implications for potential applications. IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, 14(12), 2408-2412. https://doi.org/10.1109/LGRS.2017.2766448
Skakun, Sergii, et al. "Multi-spectral misregistration of Sentinel-2A images: analysis and implications for potential applications." IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society vol. 14,12 (2017): 2408-2412. doi: https://doi.org/10.1109/LGRS.2017.2766448
Skakun S, Vermote E, Roger JC, Justice C. Multi-spectral misregistration of Sentinel-2A images: analysis and implications for potential applications. IEEE Geosci Remote Sens Lett. 2017 Dec;14(12):2408-2412. doi: 10.1109/LGRS.2017.2766448. Epub 2017 Nov 10. PMID: 29893382; PMCID: PMC5992602.
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Environmental and political implications of underestimated cropland burning in Ukraine.

Environmental research letters : ERL [Web site]

Hall JV, Zibtsev SV, Giglio L, Skakun S, Myroniuk V, Zhuravel O, Goldammer JG, Kussul N.
PMID: 34316296
Environ Res Lett. 2021 Jun;16(6):064019. doi: 10.1088/1748-9326/abfc04. Epub 2021 May 21.

Open burning is illegal in Ukraine, yet Ukraine has, on average, 300 times more fire activity per year (2001-2019) than most European countries. In 2016 and 2017, 47% of Ukraine was identified as cultivated area, with a total of...

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Hall JV, Zibtsev SV, Giglio L, et al. Environmental and political implications of underestimated cropland burning in Ukraine. Environ Res Lett. 2021;16(6):064019doi: 10.1088/1748-9326/abfc04.
Hall, J. V., Zibtsev, S. V., Giglio, L., Skakun, S., Myroniuk, V., Zhuravel, O., Goldammer, J. G., & Kussul, N. (2021). Environmental and political implications of underestimated cropland burning in Ukraine. Environmental research letters : ERL [Web site], 16(6), 064019. https://doi.org/10.1088/1748-9326/abfc04
Hall, Joanne V, et al. "Environmental and political implications of underestimated cropland burning in Ukraine." Environmental research letters : ERL [Web site] vol. 16,6 (2021): 064019. doi: https://doi.org/10.1088/1748-9326/abfc04
Hall JV, Zibtsev SV, Giglio L, Skakun S, Myroniuk V, Zhuravel O, Goldammer JG, Kussul N. Environmental and political implications of underestimated cropland burning in Ukraine. Environ Res Lett. 2021 Jun;16(6):064019. doi: 10.1088/1748-9326/abfc04. Epub 2021 May 21. PMID: 34316296; PMCID: PMC8312694.
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Intensities of the strongest γ-ray transitions originating from the .

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine

Semisalov I, Chekhovska A, Skakun Y, Karpus S, Kasilov V.
PMID: 34216881
Appl Radiat Isot. 2021 Oct;176:109843. doi: 10.1016/j.apradiso.2021.109843. Epub 2021 Jun 28.

Analyzing the γ-ray spectra of the decay of the

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Semisalov I, Chekhovska A, Skakun Y, et al. Intensities of the strongest γ-ray transitions originating from the . Appl Radiat Isot. 2021;176:109843doi: 10.1016/j.apradiso.2021.109843.
Semisalov, I., Chekhovska, A., Skakun, Y., Karpus, S., & Kasilov, V. (2021). Intensities of the strongest γ-ray transitions originating from the . Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine, 176109843. https://doi.org/10.1016/j.apradiso.2021.109843
Semisalov, I, et al. "Intensities of the strongest γ-ray transitions originating from the ." Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine vol. 176 (2021): 109843. doi: https://doi.org/10.1016/j.apradiso.2021.109843
Semisalov I, Chekhovska A, Skakun Y, Karpus S, Kasilov V. Intensities of the strongest γ-ray transitions originating from the . Appl Radiat Isot. 2021 Oct;176:109843. doi: 10.1016/j.apradiso.2021.109843. Epub 2021 Jun 28. PMID: 34216881.
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Sampling And Factor Transformation.

Multivariate behavioral research

Hakstian AR, Skakun EN.
PMID: 26797183
Multivariate Behav Res. 1976 Jan 01;11(1):119-24. doi: 10.1207/s15327906mbr1101_8.

Given a population simple structure configuration for a set of data, factor transformation methods can be compared in terms of their ability--with samples drawn from this population--to approximate closely the parameter pattern, and to do so with little sampling...

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Hakstian AR, Skakun EN. Sampling And Factor Transformation. Multivariate Behav Res. 1976;11(1):119-24doi: 10.1207/s15327906mbr1101_8.
Hakstian, A. R., & Skakun, E. N. (1976). Sampling And Factor Transformation. Multivariate behavioral research, 11(1), 119-24. https://doi.org/10.1207/s15327906mbr1101_8
Hakstian, A R, and Skakun, E N. "Sampling And Factor Transformation." Multivariate behavioral research vol. 11,1 (1976): 119-24. doi: https://doi.org/10.1207/s15327906mbr1101_8
Hakstian AR, Skakun EN. Sampling And Factor Transformation. Multivariate Behav Res. 1976 Jan 01;11(1):119-24. doi: 10.1207/s15327906mbr1101_8. PMID: 26797183.
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Automatic sub-pixel co-registration of Landsat-8 OLI and Sentinel-2A MSI images using phase correlation and machine learning based mapping.

International journal of digital earth

Skakun S, Roger JC, Vermote EF, Masek JG, Justice CO.
PMID: 32021650
Int J Digit Earth. 2017 Mar 23;1253-1269. doi: 10.1080/17538947.2017.1304586.

This study investigates misregistration issues between Landsat-8/OLI and Sentinel-2A/MSI at 30 m resolution, and between multi-temporal Sentinel-2A images at 10 m resolution using a phase correlation approach and multiple transformation functions. Co-registration of 45 Landsat-8 to Sentinel-2A pairs and...

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Skakun S, Roger JC, Vermote EF, et al. Automatic sub-pixel co-registration of Landsat-8 OLI and Sentinel-2A MSI images using phase correlation and machine learning based mapping. Int J Digit Earth. 2017;1253-1269doi: 10.1080/17538947.2017.1304586.
Skakun, S., Roger, J. C., Vermote, E. F., Masek, J. G., & Justice, C. O. (2017). Automatic sub-pixel co-registration of Landsat-8 OLI and Sentinel-2A MSI images using phase correlation and machine learning based mapping. International journal of digital earth, 1253-1269. https://doi.org/10.1080/17538947.2017.1304586
Skakun, Sergii, et al. "Automatic sub-pixel co-registration of Landsat-8 OLI and Sentinel-2A MSI images using phase correlation and machine learning based mapping." International journal of digital earth vol. (2017): 1253-1269. doi: https://doi.org/10.1080/17538947.2017.1304586
Skakun S, Roger JC, Vermote EF, Masek JG, Justice CO. Automatic sub-pixel co-registration of Landsat-8 OLI and Sentinel-2A MSI images using phase correlation and machine learning based mapping. Int J Digit Earth. 2017 Mar 23;1253-1269. doi: 10.1080/17538947.2017.1304586. PMID: 32021650; PMCID: PMC6999662.
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Analysis of Amisulpride in Human Plasma by SPE and LC with Fluorescence Detection.

Chromatographia

Kudris IV, Skakun NN, Orlova IN, Libina VV, Kulikov AU.
PMID: 21423321
Chromatographia. 2011 Jan;73(1):67-74. doi: 10.1007/s10337-010-1832-2. Epub 2011 Jan 08.

A rapid, precise, accurate, and selective high-performance liquid chromatographic method with fluorescence detection has been validated and used for analysis of amisulpride in human plasma after a simple solid-phase extraction procedure. Compounds were separated on a CN column with...

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Kudris IV, Skakun NN, Orlova IN, et al. Analysis of Amisulpride in Human Plasma by SPE and LC with Fluorescence Detection. Chromatographia. 2011;73(1):67-74doi: 10.1007/s10337-010-1832-2.
Kudris, I. V., Skakun, N. N., Orlova, I. N., Libina, V. V., & Kulikov, A. U. (2011). Analysis of Amisulpride in Human Plasma by SPE and LC with Fluorescence Detection. Chromatographia, 73(1), 67-74. https://doi.org/10.1007/s10337-010-1832-2
Kudris, Illia V, et al. "Analysis of Amisulpride in Human Plasma by SPE and LC with Fluorescence Detection." Chromatographia vol. 73,1 (2011): 67-74. doi: https://doi.org/10.1007/s10337-010-1832-2
Kudris IV, Skakun NN, Orlova IN, Libina VV, Kulikov AU. Analysis of Amisulpride in Human Plasma by SPE and LC with Fluorescence Detection. Chromatographia. 2011 Jan;73(1):67-74. doi: 10.1007/s10337-010-1832-2. Epub 2011 Jan 08. PMID: 21423321; PMCID: PMC3030746.
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Fluorescence cumulants analysis with non-ideal observation profiles.

Methods and applications in fluorescence

Skakun VV, Novikov EG, Apanasovich TV, Apanasovich VV.
PMID: 29148513
Methods Appl Fluoresc. 2015 Nov 26;3(4):045003. doi: 10.1088/2050-6120/3/4/045003.

One of the challenges of fluorescence fluctuation fpectroscopy (FFS) is an adequate approximation of a brightness profile. The key feature of fluorescence intensity distribution analysis (FIDA) is a polynomial approximation of a brightness profile. A broad range of brightness...

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Skakun VV, Novikov EG, Apanasovich TV, et al. Fluorescence cumulants analysis with non-ideal observation profiles. Methods Appl Fluoresc. 2015;3(4):045003doi: 10.1088/2050-6120/3/4/045003.
Skakun, V. V., Novikov, E. G., Apanasovich, T. V., & Apanasovich, V. V. (2015). Fluorescence cumulants analysis with non-ideal observation profiles. Methods and applications in fluorescence, 3(4), 045003. https://doi.org/10.1088/2050-6120/3/4/045003
Skakun, Victor V, et al. "Fluorescence cumulants analysis with non-ideal observation profiles." Methods and applications in fluorescence vol. 3,4 (2015): 045003. doi: https://doi.org/10.1088/2050-6120/3/4/045003
Skakun VV, Novikov EG, Apanasovich TV, Apanasovich VV. Fluorescence cumulants analysis with non-ideal observation profiles. Methods Appl Fluoresc. 2015 Nov 26;3(4):045003. doi: 10.1088/2050-6120/3/4/045003. PMID: 29148513.
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Combined use of Landsat-8 and Sentinel-2A images for winter crop mapping and winter wheat yield assessment at regional scale.

AIMS geosciences

Skakun S, Vermote E, Roger JC, Franch B.
PMID: 29888751
AIMS Geosci. 2017;3(2):163-186. doi: 10.3934/geosci.2017.2.163. Epub 2017 May 23.

Timely and accurate information on crop yield is critical to many applications within agriculture monitoring. Thanks to its coverage and temporal resolution, coarse spatial resolution satellite imagery has always been a source of valuable information for yield forecasting and...

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Skakun S, Vermote E, Roger JC, et al. Combined use of Landsat-8 and Sentinel-2A images for winter crop mapping and winter wheat yield assessment at regional scale. AIMS Geosci. 2017;3(2):163-186doi: 10.3934/geosci.2017.2.163.
Skakun, S., Vermote, E., Roger, J. C., & Franch, B. (2017). Combined use of Landsat-8 and Sentinel-2A images for winter crop mapping and winter wheat yield assessment at regional scale. AIMS geosciences, 3(2), 163-186. https://doi.org/10.3934/geosci.2017.2.163
Skakun, Sergii, et al. "Combined use of Landsat-8 and Sentinel-2A images for winter crop mapping and winter wheat yield assessment at regional scale." AIMS geosciences vol. 3,2 (2017): 163-186. doi: https://doi.org/10.3934/geosci.2017.2.163
Skakun S, Vermote E, Roger JC, Franch B. Combined use of Landsat-8 and Sentinel-2A images for winter crop mapping and winter wheat yield assessment at regional scale. AIMS Geosci. 2017;3(2):163-186. doi: 10.3934/geosci.2017.2.163. Epub 2017 May 23. PMID: 29888751; PMCID: PMC5992624.
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Maximum entropy analysis of polarized fluorescence decay of (E)GFP in aqueous solution.

Methods and applications in fluorescence

Novikov EG, Skakun VV, Borst JW, Visser AJWG.
PMID: 28858857
Methods Appl Fluoresc. 2017 Dec 15;6(1):014001. doi: 10.1088/2050-6120/aa898b.

The maximum entropy method (MEM) was used for the analysis of polarized fluorescence decays of enhanced green fluorescent protein (EGFP) in buffered water/glycerol mixtures, obtained with time-correlated single-photon counting (Visser et al 2016 Methods Appl. Fluoresc. 4 035002). To...

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Novikov EG, Skakun VV, Borst JW, et al. Maximum entropy analysis of polarized fluorescence decay of (E)GFP in aqueous solution. Methods Appl Fluoresc. 2017;6(1):014001doi: 10.1088/2050-6120/aa898b.
Novikov, E. G., Skakun, V. V., Borst, J. W., & Visser, A. J. W. G. (2017). Maximum entropy analysis of polarized fluorescence decay of (E)GFP in aqueous solution. Methods and applications in fluorescence, 6(1), 014001. https://doi.org/10.1088/2050-6120/aa898b
Novikov, Eugene G, et al. "Maximum entropy analysis of polarized fluorescence decay of (E)GFP in aqueous solution." Methods and applications in fluorescence vol. 6,1 (2017): 014001. doi: https://doi.org/10.1088/2050-6120/aa898b
Novikov EG, Skakun VV, Borst JW, Visser AJWG. Maximum entropy analysis of polarized fluorescence decay of (E)GFP in aqueous solution. Methods Appl Fluoresc. 2017 Dec 15;6(1):014001. doi: 10.1088/2050-6120/aa898b. PMID: 28858857.
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An Application Of Inferential Statistics To The Factorial Invariance Problem.

Multivariate behavioral research

Skakun EN, Maguire TO, Hakstian RR.
PMID: 26766502
Multivariate Behav Res. 1976 Jul 01;11(3):325-38. doi: 10.1207/s15327906mbr1103_4.

Attention has been drawn to the lack of standards for evaluating the degree of goodness of fit of patterns resulting from a principal components analysis of two data sets. An empirical sampling distribution of the statistic average trace (E'E),...

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Skakun EN, Maguire TO, Hakstian RR. An Application Of Inferential Statistics To The Factorial Invariance Problem. Multivariate Behav Res. 1976;11(3):325-38doi: 10.1207/s15327906mbr1103_4.
Skakun, E. N., Maguire, T. O., & Hakstian, R. R. (1976). An Application Of Inferential Statistics To The Factorial Invariance Problem. Multivariate behavioral research, 11(3), 325-38. https://doi.org/10.1207/s15327906mbr1103_4
Skakun, E N, et al. "An Application Of Inferential Statistics To The Factorial Invariance Problem." Multivariate behavioral research vol. 11,3 (1976): 325-38. doi: https://doi.org/10.1207/s15327906mbr1103_4
Skakun EN, Maguire TO, Hakstian RR. An Application Of Inferential Statistics To The Factorial Invariance Problem. Multivariate Behav Res. 1976 Jul 01;11(3):325-38. doi: 10.1207/s15327906mbr1103_4. PMID: 26766502.
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Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring.

International journal of remote sensing

Skakun S, Justice CO, Vermote E, Roger JC.
PMID: 29892137
Int J Remote Sens. 2018;39(4):971-992. doi: 10.1080/01431161.2017.1395970. Epub 2017 Jul 05.

The Visible/Infrared Imager/Radiometer Suite (VIIRS) aboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite was launched in 2011, in part to provide continuity with the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard National Aeronautics and Space Administration's (NASA) Terra and...

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Skakun S, Justice CO, Vermote E, et al. Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring. Int J Remote Sens. 2017;39(4):971-992doi: 10.1080/01431161.2017.1395970.
Skakun, S., Justice, C. O., Vermote, E., & Roger, J. C. (2018). Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring. International journal of remote sensing, 39(4), 971-992. https://doi.org/10.1080/01431161.2017.1395970
Skakun, Sergii, et al. "Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring." International journal of remote sensing vol. 39,4 (2018): 971-992. doi: https://doi.org/10.1080/01431161.2017.1395970
Skakun S, Justice CO, Vermote E, Roger JC. Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring. Int J Remote Sens. 2018;39(4):971-992. doi: 10.1080/01431161.2017.1395970. Epub 2017 Jul 05. PMID: 29892137; PMCID: PMC5992487.
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Showing 1 to 12 of 14 entries