Добірка наукової літератури з теми "DEMC"

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Статті в журналах з теми "DEMC"

1

Graves, Lisa V., Emily C. Edmonds, Kelsey R. Thomas, Alexandra J. Weigand, Shanna Cooper, and Mark W. Bondi. "Evidence for the Utility of Actuarial Neuropsychological Criteria Across the Continuum of Normal Aging, Mild Cognitive Impairment, and Dementia." Journal of Alzheimer's Disease 78, no. 1 (2020): 371–86. http://dx.doi.org/10.3233/jad-200778.

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Анотація:
Background: Research suggests that actuarial neuropsychological criteria improve the accuracy of mild cognitive impairment (MCI) diagnoses relative to conventional diagnostic methods. Objective: We sought to examine the utility of actuarial criteria relative to consensus diagnostic methods used in the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS), and more broadly across the continuum of normal aging, MCI, and dementia. Methods: We compared rates of cognitively normal (CN), MCI, and dementia diagnoses at baseline using actuarial versus consensus diagnostic methods in 1
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2

Uvarov, A. Yu. "FROM COMPUTER LITERACY TO DIGITAL TRANSFORMATION OF EDUCATION." Informatics and education, no. 4 (June 24, 2019): 5–11. http://dx.doi.org/10.32517/0234-0453-2019-34-4-5-11.

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The publishing of the 300th issue of the INFO magazine coincided with the approval of the Passport of the National Digital Economy Program. One of the Program' task is the development of the promising Digital Educational and Methodological Complexes (DEMC) that should transform the informatics’ classes at the public school. This event is considered as a step to the digital transformation of the Russian school. Digital transformation is considered as harnessing digital technologies to increase the productivity and value of an enterprise. Digital transformation of education is considered as the
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3

Yang, Xin, Dawei Wang, Wenbo Hu, et al. "DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering." Journal of Computer Science and Technology 34, no. 5 (2019): 1123–35. http://dx.doi.org/10.1007/s11390-019-1964-2.

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4

Barbarella, Maurizio, Alessandro Di Benedetto, and Margherita Fiani. "A Method for Obtaining a DEM with Curved Abscissa from MLS Data for Linear Infrastructure Survey Design." Remote Sensing 14, no. 4 (2022): 889. http://dx.doi.org/10.3390/rs14040889.

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The sudden deterioration of the condition of linear infrastructure networks makes road management a complex task. Knowledge of the surface condition of the pavement is a requirement in order to estimate the causes of instabilities, select the appropriate action and identify all those sections that require urgent intervention. The mobile laser scanning (MLS) technique allows for a fast and safe diagnosis, thus making it possible to plan an early intervention program quickly and cost-effectively. This paper describes a methodology implemented with a twofold purpose: (i) the optimal definition, d
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5

Alsharifi, Thamir, and Da-Ren Chen. "Effect of Inner Rod Tilting on the Performance of a Cylindrical Differential Electrical Mobility Analyzer (DEMC)." Aerosol and Air Quality Research 19, no. 10 (2019): 2151–59. http://dx.doi.org/10.4209/aaqr.2019.01.0037.

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6

Sarsito, Dina Anggreni, and Brian Bramanto. "DIGITAL ELEVATION MODEL ALTERNATIVES ASSESSMENT FOR DEFORMATION ANALYSIS PURPOSES USING GNSS AND INSAR." Jurnal Meteorologi dan Geofisika 23, no. 1 (2022): 27. http://dx.doi.org/10.31172/jmg.v23i1.845.

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<p><em>Digital Elevation Model (DEM) is the starting point in the analysis performed to explain the deformation pattern changes from the Earth's surface. The estimated value of deformation based on point-wise GPS and InSAR data with a better spatial resolution must be defined in a reference frame system that reflects the phenomenon of deformation of the real physical world, e.g., orthometric height for the vertical component. Therefore, this study aims to provide alternative DEM models based on a suitable combination between the Global Geopotential Model of Earth Geopotential Model
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7

Lee, Chin Hong, Nathaniel P. Hawker, Jonathan R. Peters, et al. "DEFECTIVE EMBRYO AND MERISTEMS genes are required for cell division and gamete viability in Arabidopsis." PLOS Genetics 17, no. 5 (2021): e1009561. http://dx.doi.org/10.1371/journal.pgen.1009561.

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Анотація:
The DEFECTIVE EMBRYO AND MERISTEMS 1 (DEM1) gene encodes a protein of unknown biochemical function required for meristem formation and seedling development in tomato, but it was unclear whether DEM1’s primary role was in cell division or alternatively, in defining the identity of meristematic cells. Genome sequence analysis indicates that flowering plants possess at least two DEM genes. Arabidopsis has two DEM genes, DEM1 and DEM2, which we show are expressed in developing embryos and meristems in a punctate pattern that is typical of genes involved in cell division. Homozygous dem1 dem2 doubl
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8

Sadeghi, A. M. M., F. A. Dorkoosh, M. R. Avadi, P. Saadat, M. Rafiee-Tehrani, and H. E. Junginger. "Preparation, characterization and antibacterial activities of chitosan, N-trimethyl chitosan (TMC) and N-diethylmethyl chitosan (DEMC) nanoparticles loaded with insulin using both the ionotropic gelation and polyelectrolyte complexation methods." International Journal of Pharmaceutics 355, no. 1-2 (2008): 299–306. http://dx.doi.org/10.1016/j.ijpharm.2007.11.052.

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9

Lee, Hyo-Seong, and Dong-Yeob Han. "Comparison of SPOT-5 DEM Control with SRTM DEM." Korean Journal of Geomatics 29, no. 2 (2011): 193–99. http://dx.doi.org/10.7848/ksgpc.2011.29.2.193.

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10

Hasan Khan, Muhammad Imran, Ehsan Ullah, Zohaib Abbas Khan, Salman Shakeel, and Amina Javid Qaiser. "HbA1c CONTROL." Professional Medical Journal 23, no. 07 (2016): 875–82. http://dx.doi.org/10.29309/tpmj/2016.23.07.1655.

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Анотація:
Background: Diabetes Mellitus (DM) is a serious worldwide health concern.Pakistan is among the top 10 countries with the highest prevalence of diabetes in the worldwith estimates reaching as high as 21.6% in adults aged 30–79 years. HbA1C is the most usefuldiagnostic tool to assess the control and progression of disease and related complications.However, the predictors of good and bad control are not well established in our population.Objective: 1). To assess the level of A1C control among type 2 diabetic patients. 2). To find outfactors which can predict uncontrolled A1C. Study Design: Retros
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