Results 1 to 10 of about 869,297 (165)
Telemedicine in orthopaedic surgery during the COVID-19 pandemic: patient attitudes and barriers
Bone & Joint Open, 2021 Aims: This study assesses patient barriers to successful telemedicine care in orthopaedic practices in a large academic practice in the COVID-19 era. Methods: In all, 381 patients scheduled for telemedicine visits with three orthopaedic surgeons in a ...
Ramakanth R. Yakkanti +5 more
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GENOTYPIC AND PHENOTYPIC VARIANCES AND CORRELATIONS AS AFFECTED BY PLANTING AND POPPING IN ZEA MAYS AVARTA [PDF]
مجلة الأنبار للعلوم الزراعية, 2023 A field experiment was conducted in the fields of a farmer in the Sufia area on the right bank of the Euphrates River in the city of Ramadi- Anbar /Iraq during the spring and fall seasons of 2021. Three genetic communities of Popcorn (A-S2-2, B-S1-3, and
O. E. H. Al-Fhdawi +2 more
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Evaluation of at-home physiotherapy: machine-learning prediction with smart watch inertial sensors
Bone & Joint Research, 2023 Aims: An objective technological solution for tracking adherence to at-home shoulder physiotherapy is important for improving patient engagement and rehabilitation outcomes, but remains a significant challenge.
Philip Boyer, David Burns, Cari Whyne
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Bone & Joint Open, 2021 Aims: The number of convolutional neural networks (CNN) available for fracture detection and classification is rapidly increasing. External validation of a CNN on a temporally separate (separated by time) or geographically separate (separated by location)
Luisa Oliveira e Carmo +9 more
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Normalised degree variance [PDF]
Applied Network Science, 2020 AbstractFinding graph indices which are unbiased to network size and density is of high importance both within a given field and across fields for enhancing comparability of modern network science studies. The degree variance is an important metric for characterising network degree heterogeneity.
Keith M. Smith, Javier Escudero
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$k$-Variance: A Clustered Notion of Variance
SIAM Journal on Mathematics of Data Science, 2022 We introduce $k$-variance, a generalization of variance built on the machinery of random bipartite matchings. $K$-variance measures the expected cost of matching two sets of $k$ samples from a distribution to each other, capturing local rather than global information about a measure as $k$ increases; it is easily approximated stochastically using ...
Justin Solomon +2 more
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Monitoring of Time and Cost Variances of Schedule Using Simple Earned Value Method Indicators
Applied Sciences, 2021 The Planning and implementation of construction projects are difficult processes and are burdened with many risk elements. The budget spread over time, which is developed on the basis of the schedule, presents the expected distribution of costs ...
Daniel Przywara, Adam Rak
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Variation in mutational (co)variances
G3: Genes, Genomes, Genetics, 2022 Because of pleiotropy, mutations affect the expression and inheritance of multiple traits and, together with selection, are expected to shape standing genetic covariances between traits and eventual phenotypic divergence between populations.
François Mallard +3 more
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Le quotient de deux variances corr\'el\'ees, sa distribution et son test [PDF]
Tutorials in Quantitative Methods for Psychology, 2016 The joint sampling distribution of two correlated variances, i.e. variances stemming from a bivariate normal distribution or from two normal $\rho $-correlated distributions, is hardly known and used, by contrast with the distribution of $F$, the ...
Laurencelle, Louis
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HEDGING (CO)VARIANCE RISK WITH VARIANCE SWAPS [PDF]
International Journal of Theoretical and Applied Finance, 2008 In this paper, we quantify the impact on the representative agent's welfare of the presence of derivative products spanning covariance risk. In an asset allocation framework with stochastic (co)variances, we allow the agent to invest not only in the stocks but also in the associated variance swaps.
DA FONSECA J +2 more
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