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Using the Penman-Monteith Equation Predictively
Agricultural Water Management, 1984Abstract We consider the problem of calculating evaporation from vegetation which is sited away from a meteorological measurement station, or which is merely proposed. To use the Penman-Monteith equation for this task we must be able to predict, inter alia, the saturation deficit above the new vegetation A strategy for making such prediction is ...
K.G. McNaughton, P.G. Jarvis
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Clinical Nutrition, 2019
BACKGROUND & AIMS Poor outcomes can result from inadequate energy intake. We aimed to investigate the reliability of resting energy expenditure (REE) measured by indirect calorimetry (IC) with REE calculated using predictive equations for nutritional ...
Jinwoo Jeon +7 more
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BACKGROUND & AIMS Poor outcomes can result from inadequate energy intake. We aimed to investigate the reliability of resting energy expenditure (REE) measured by indirect calorimetry (IC) with REE calculated using predictive equations for nutritional ...
Jinwoo Jeon +7 more
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Accuracy of Resting Energy Expenditure Predictive Equations in Patients With Cancer.
Nutrition in clinical practice, 2019BACKGROUND Our purpose was to assess the accuracy of resting energy expenditure (REE) equations in patients with newly diagnosed stage I-IV non-small cell lung, rectal, colon, renal, or pancreatic cancer.
S. Purcell +9 more
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Equation for predicting shelf life of an apple
Journal of Biotechnology, 2010The shelf-life of a Fruit is critical in determining both its quality and profitability. Everyone benefits from healthy produce. Approximately Rs.105Crores {$200million} is lost each year in India due to waste caused by post harvest diseases, poor temperature management, bruising and other factors.
A.A. Bhosale, Kalyan Sundaram
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Validity of predictive equations for resting metabolic rate in healthy humans.
Clinical science, 2018Background: There are several predictive equations for estimating resting metabolic rate (RMR) in healthy humans. Concordance of these equations against measured RMR is variable, and often dependent on the extent of RMR.
J. Galgani +3 more
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Predictive differential equations
PAMM, 2007AbstractWe propose and study a differential equation whose dynamics are governed by predictions of its future states. General formalism and concrete examples are presented. We find that the dynamical characteristics depend on both how to shape predictions as well as how far ahead in time to make them. This can be thought of one of examples of dynamical
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Clinical Nutrition ESPEN, 2018
BACKGROUND AND AIMS Predictive equations remain the clinical tool of choice to estimate the energy expenditure, however, poor accuracy has been found when applied in patients with severe obesity.
M. N. Ravelli +6 more
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BACKGROUND AND AIMS Predictive equations remain the clinical tool of choice to estimate the energy expenditure, however, poor accuracy has been found when applied in patients with severe obesity.
M. N. Ravelli +6 more
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Development of predictive equations for lifting strengths
Applied Ergonomics, 1995The purpose of the study was to determine relationship between lifting strengths of male and female subjects and body posture, type of lift (stoop or squat) and velocity of lift. Thirty normal young adults (18 males and 12 females) volunteered for the study. All subjects were required to perform a total of 56 tasks. Of these, 28 were stoop lifts and 28
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PREDICTIVE VALIDITY OF A LINEAR REGRESSION EQUATION
British Journal of Mathematical and Statistical Psychology, 1975The squared correlation coefficient, w 2 , between an empirically chosen linear function of predictors, B̂ 0 + B̂′x, and a criterion, y , is employed as a measure of predictive precision.
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The Zakai forms of the prediction and smoothing equations
IEEE Trans. Inf. Theory, 1986In this paper, the authors state linear stochastic partial differential equations (in weak sense) for the prediction and smoothing. These equations are of the same type as the Zakai equation for filtering.
Peter L. Antonelli, Robert J. Elliott
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