Trends in Within-Class Changes in US Average Wholesale Prices for Brand-Name Medications for Common Conditions From 2015 to 2020
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DOI: 10.1001/jamanetworkopen.2020.35064
Abstract: This cross-sectional study examines within-class changes in US wholesale drug prices for brand-name medications from 2015 to 2020. read more here.
Keywords: brand name; prices brand; name medications; 2015 2020 ... See more keywords
Achievement or agreement – Which comes first? Clarifying the temporal ordering of achievement and within-class consensus on classroom goal structures
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DOI: 10.1016/j.learninstruc.2019.01.003
Abstract: Abstract Within-class consensus describes the extent to which students agree in their perceptions of classroom characteristics. The most frequently studied external link in research on within-class consensus is achievement. However, the direction of effects between… read more here.
Keywords: consensus; classroom; within class; class consensus ... See more keywords
Application of a homogenous patch mean kernel with within-class collaborative representation for hyperspectral imagery classification
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DOI: 10.1080/2150704x.2016.1230279
Abstract: ABSTRACT Spectral–spatial-based classification methods demonstrate satisfying performance for hyperspectral imagery (HSI) classification. In this letter, in order to make full use of spectral and contexture information with simultaneously considering within-class information, we propose a new… read more here.
Keywords: classification; class; patch; within class ... See more keywords
Within-class differences in cancer risk for sulfonylurea treatments in patients with type 2 diabetes (ZODIAC-55) – a study protocol
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DOI: 10.1186/s12885-017-3433-z
Abstract: BackgroundPatients with type 2 diabetes (T2D) are at increased risk for developing cancer. As approximately 8% of the world’s population is living with T2D, even a slight increase in cancer risk could result in an… read more here.
Keywords: risk; study; cancer risk; within class ... See more keywords
Regularized Within-Class Precision Matrix Based PLDA in Text-Dependent Speaker Verification
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DOI: 10.3390/app10186571
Abstract: In the field of speaker verification, probabilistic linear discriminant analysis (PLDA) is the dominant method for back-end scoring. To estimate the PLDA model, the between-class covariance and within-class precision matrices must be estimated from samples.… read more here.
Keywords: within class; precision matrix; class precision; speaker verification ... See more keywords