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  • 1
    In: Journal of Diabetes Science and Technology, SAGE Publications, Vol. 17, No. 5 ( 2023-09), p. 1226-1242
    Abstract: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.
    Type of Medium: Online Resource
    ISSN: 1932-2968 , 1932-2968
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2467312-2
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 1999
    In:  Journal of Chemical Research Vol. 23, No. 4 ( 1999-04), p. 266-267
    In: Journal of Chemical Research, SAGE Publications, Vol. 23, No. 4 ( 1999-04), p. 266-267
    Abstract: Lipase, isolated from Aspergillus niger, exhibits chemoselectivity towards hydrolysis of fatty acid esters and does not hydrolyse carbamates; this has been demonstrated with substrates such as 5 ( N-methoxycarbonyl- N-ethoxycarbonylmethylamino)-2-aryl-2,4-dihydro-3 H-1,2,4-triazol-3-ones.
    Type of Medium: Online Resource
    ISSN: 1747-5198 , 2047-6507
    Language: English
    Publisher: SAGE Publications
    Publication Date: 1999
    detail.hit.zdb_id: 3010810-X
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2017
    In:  The International Journal of Ocean and Climate Systems Vol. 8, No. 3 ( 2017-12), p. 101-112
    In: The International Journal of Ocean and Climate Systems, SAGE Publications, Vol. 8, No. 3 ( 2017-12), p. 101-112
    Abstract: Indian Space Research Organization had launched Oceansat-2 on 23 September 2009, and the scatterometer onboard was a space-borne sensor capable of providing ocean surface winds (both speed and direction) over the globe for a mission life of 5 years. The observations of ocean surface winds from such a space-borne sensor are the potential source of data covering the global oceans and useful for driving the state-of-the-art numerical models for simulating ocean state if assimilated/blended with weather prediction model products. In this study, an efficient interpolation technique of inverse distance and time is demonstrated using the Oceansat-2 wind measurements alone for a selected month of June 2010 to generate gridded outputs. As the data are available only along the satellite tracks and there are obvious data gaps due to various other reasons, Oceansat-2 winds were subjected to spatio-temporal interpolation, and 6-hour global wind fields for the global oceans were generated over 1 × 1 degree grid resolution. Such interpolated wind fields can be used to drive the state-of-the-art numerical models to predict/hindcast ocean-state so as to experiment and test the utility/performance of satellite measurements alone in the absence of blended fields. The technique can be tested for other satellites, which provide wind speed as well as direction data. However, the accuracy of input winds is obviously expected to have a perceptible influence on the predicted ocean-state parameters. Here, some attempts are also made to compare the interpolated Oceansat-2 winds with available buoy measurements and it was found that they are reasonably in good agreement with a correlation coefficient of R  〉  0.8 and mean deviation 1.04 m/s and 25° for wind speed and direction, respectively.
    Type of Medium: Online Resource
    ISSN: 1759-3131 , 1759-314X
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2970619-1
    detail.hit.zdb_id: 2541704-6
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  • 4
    Online Resource
    Online Resource
    SAGE Publications ; 1997
    In:  Applied Spectroscopy Vol. 51, No. 11 ( 1997-11), p. 1648-1655
    In: Applied Spectroscopy, SAGE Publications, Vol. 51, No. 11 ( 1997-11), p. 1648-1655
    Abstract: Good-quality Raman spectra of most wood species can now be obtained by using near-infrared Fourier transform Raman spectroscopy. To make effective use of such spectroscopic information, one needs to interpret the data in terms of contributions from various wood components and, for each component polymer, in terms of vibrational modes of its substructural units/groups. In the present work, Raman spectral features of black spruce (Picea mariana) wood were associated with lignin and/or carbohydrate polymers. Lignin's spectral contributions were recognized in several ways. In addition to spectra of milled-wood and enzyme lignins, a spectrum of native lignin was obtained by subtracting the spectrum of acid chlorite delignified black spruce from the spectrum of an untreated wood sample. A comparison of lignin spectra indicated that the Raman features of the three lignins are very similar. Raman contributions of carbohydrate polymers, namely, those of cellulose and hemicellulose, were identified by using authentic and/or isolated samples and, in the case of cellulose, by using previously published spectra. Such an analysis showed that the hemicellulose present in black spruce did not give rise to any new, unique features that were not already present due to cellulose. Therefore, it was concluded that the hemicellulose contribution is broad and is hidden under the Raman contribution of cellulose. Also, peak positions of lignin contributions did not overlap with those of cellulose, and there were spectral regions where either lignin or cellulose contributed.
    Type of Medium: Online Resource
    ISSN: 0003-7028 , 1943-3530
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 1997
    detail.hit.zdb_id: 1474251-2
    SSG: 11
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