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Now showing items 17161-17180 of 23978
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Predicting light leaf spot (Pyrenopeziza brassicae) risk on winter oilseed rape (Brassica napus) in England and Wales, using survey, weather and crop information
(2004-12)Data from surveys of winter oilseed rape crops in England and Wales in growing seasons with harvests in 1987-99 were used to construct statistical models to predict, in autumn (October), the incidence of light leaf spot ... -
Predicting Metallicities and Color Distributions for Secondary GCs Forming in Spiral Galaxy Mergers at Various Redshifts
(Astronomical Society of the Pacific, 2002)In a 1st step I present results from our new set of evolutionary synthesis models for Simple (= single burst) Stellar Populations (SSPs) of various metallicities, and in a 2nd step I combine these results with the information ... -
Predicting mid-air gestural interaction with public displays based on audience behaviour
(2020-12)Knowledge about the expected interaction duration and expected distance from which users will interact with public displays can be useful in many ways. For example, knowing upfront that a certain setup will lead to shorter ... -
Predicting residual kidney function in hemodialysis patients using serum β-trace protein and β2-microglobulin
(2016-02-16)Residual kidney function (RKF) contributes significant solute clearance in hemodialysis patients. Kidney Diseases Outcomes Quality Initiative (KDOQI) guidelines suggest that hemodialysis dose can be safely reduced in those ... -
Predicting response to physiotherapy treatment for musculoskeletal shoulder pain : A systematic review
(2013)Background: People suffering from musculoskeletal shoulder pain are frequently referred to physiotherapy. Physiotherapy generally involves a multimodal approach to management that may include; exercise, manual therapy and ... -
Predicting response to physiotherapy treatment for musculoskeletal shoulder pain : Protocol for a longitudinal cohort study
(2013-06-21)Shoulder pain affects all ages, with a lifetime prevalence of one in three. The most effective treatment is not known. Physiotherapy is often recommended as the first choice of treatment. At present, it is not possible to ... -
Predicting Skin Permeability by means of Computational Approaches : Reliability and Caveats in Pharmaceutical Studies
(2019-05-28)The skin is the main barrier between the internal body environment and the external one. The characteristics of this barrier and its properties are able to modify and affect drug delivery and chemical toxicity parameters. ... -
Predicting Smartphone Operating System from Personality and Individual Differences
(2016-12-01)Android and iPhone devices account for over 90 percent of all smartphones sold worldwide. Despite being very similar in functionality, current discourse and marketing campaigns suggest that key individual differences exist ... -
Predicting Successful Introduction of Novel Fruit to Preschool Children
(2012-12)Background: Few children eat sufficient fruits and vegetables despite their established health benefits. The feeding practices used by parents when introducing novel foods to their children, and their efficacy, require ... -
Predicting the Absorption Rate of Chemicals Through Mammalian Skin Using Machine Learning Algorithms
(2016-11-10)Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This thesis evaluates the application of these methods to the problem domain of skin permeability. ML methods offer great ... -
Predicting the Fine Particle Fraction of Dry Powder Inhalers Using Artificial Neural Networks
(2017-01-01)Dry powder inhalers are increasingly popular for delivering drugs to the lungs for the treatment of respiratory diseases, but are complex products with multivariate performance determinants. Heuristic product development ... -
Predicting the Strength of Cohesive and Adhesive Interparticle Interactions for Dry Powder Inhalation Blends of Terbutaline Sulfate with α‑Lactose Monohydrate
(2023-09-08)Grid-based systematic search methods are used to investigate molecule–molecule, molecule–surface, and surface–surface contributions to interparticle interactions in order to identify the crystal faces that most strongly ... -
Predicting timing of release of ascospores of Leptosphaeria spp. to improve control of phoma stem canker on oilseed rape in the UK
(2014-06)Phoma stem canker is an economically damaging disease of oilseed rape crops, causing an annual loss estimated at more than £87M in the UK at a price of £390/t. It is caused by two related pathogens: Leptosphaeria maculans ... -
Predicting voluntary movements from motor cortical activity with neuromorphic hardware
(2017-05-23)Neurons in the mammalian motor cortices encode physical parameters of voluntary movements during planning and execution of a motor task. Brain-machine interfaces can decode limb movements from the activity of these neurons ... -
Prediction Error in Reinforcement Learning : A Meta-analysis of Neuroimaging studies
(2013-08)Activation likelihood estimation (ALE) meta-analyses were used to examine the neural correlates of prediction error in reinforcement learning. The findings are interpreted in the light of current computational models of ... -
Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural networks
(2012)In this work, we present a novel approach for the development of models for prediction of aqueous solubility, based on the implementation of an algorithm for the automatic adjustment of descriptor's relative importance ...