Browsing by Title
Now showing items 1039-1058 of 24473
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The application of decision making concepts by nurse practitioners in general practice
(1998)This paper is concerned with the conceptual frameworks which could be applied to nurse practitioners in general practice in reaching decisions during patient consultations. Four strategies of decision making are explained ... -
Application of diffusion-edited and solvent suppression 1H NMR to the direct analysis of markers in valerian-hop liquid herbal products
(2016-03-01)The rising trend to consume herbal products for the treatment and/or prevention of minor ailments together with their chemical and pharmacological complexity means there is an urgent need to develop new approaches to their ... -
The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers
(2012-01-23)Discriminant analysis (DA) has previously been shown to allow the proposal of simple guidelines for the classification of 73 chemical enhancers of percutaneous absorption. Pugh et al. employed DA to classify such enhancers ... -
Application of dried blood spots to determine vitamin D status in a large nutritional study with unsupervised sampling : the Food4Me project
(2016-01)An efficient and robust method to measure vitamin D (25-hydroxy vitamin D3 (25(OH)D3) and 25-hydroxy vitamin D2 in dried blood spots (DBS) has been developed and applied in the pan-European multi-centre, internet-based, ... -
The application of feature selection to the development of Gaussian process models for percutaneous absorption.
(2010)Objectives: The aim was to employ Gaussian processes to assess mathematically the nature of a skin permeability dataset and to employ these methods, particularly feature selection, to determine the key physicochemical ... -
The application of foam dressings
(2003) -
The application of Gaussian processes in the prediction of percutaneous absorption
(2009-09)Objectives The aim was to assess mathematically the nature of a skin permeability dataset and to determine the utility of Gaussian processes in developing a predictive model for skin permeability, comparing it with existing ... -
Application of Geographic Information Systems to Identify the Oversummering Regions of Blumeria graminis f. sp. tritici in China
(2013-09)Blumeria graminis f. sp. tritici, the pathogen that causes wheat powdery mildew, can oversummer as mycelia or conidia on leaves of volunteer wheat plants in cool mountainous areas in China. In this study, the regions in ... -
Application of global optimisation to particle identification using light scattering
(1998)Numerical methods of solving the inverse light scattering problem for spheres are presented. The methods are based on two stochastic global optimization techniques: Deep's random search and the multilevel single-linkage ... -
Application of Innovative Digital Technologies in Urban Flood Risk Management
(2023-04-28)Climate change can lead to several devastating hazards, including extreme rainfall and alteration of precipitation patterns that both contribute to more urban floods and various repercussions on urban life and infrastructure ... -
Application of Internet of Things in Real-Time Urban Flood Risk Management
(2024-04-19)Today, IoT devices are becoming integral to the real-time management of flooding through the implementation of flood early warning systems [1]. With the assistance of advancements in remote sensing, the expanding band board ... -
Application of Kodokan Classified Judo Techniques in Shiai
(2021-04-23)Judo techniques are classified by the Kodokan into throws, grappling techniques and strikes. For use in randori (free practice) and shiai (matches), 68 nage-waza (throws) and 32 katame-waza (grappling techniques) have been ... -
The application of machine learning to the modelling of percutaneous absorption: An overview and guide
(2015-03-18)Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This paper reviews the application of these methods to the problem domain of skin permeability and addresses critically some ... -
An Application Of Machine Learning With Boruta Feature Selection To Improve NO2 Pollution Prediction
(Obafemi Awolowo University, Ile-Ife, 2021-07-08)Projecting and monitoring NO2 pollutants' concentration is perhaps an efficient and effective technique to lower people's exposure, reducing the negative impact caused by this harmful atmospheric substance. Many studies ... -
Application of Magnetic Field Treatment to Enhance the Durability of Metallic Alloys under Cyclic Loads
(2022-06-23)This research studies the effect of alternating magnetic field treatment on fatigue and wear properties of EN8 steel, 70/30 brass alloy, nickel-aluminium bronze, and aluminium alloy 2014-T6. Cavitation erosion, fatigue and ... -
The application of Monte Carlo methods to the synthesis of spectral line profiles from accretion disc winds
(1995)A Monte Carlo line profile synthesis method is presented which allows the radiative transfer of resonantly scattered lines through a stellar wind to be solved exactly. The resulting code is designed to be used primarily ... -
Application of Multilayer Extreme Learning Machine for Efficient Building Energy Prediction
(2022-12)Building energy efficiency is vital, due to the substantial amount of energy consumed in buildings and the associated adverse effects. A high-accuracy energy prediction model is considered as one of the most effective ways ... -
The application of neural networks to anodic stripping voltammetry to improve trace metal analysis
(University of Hertfordshire, 1995)This thesis describes a novel application of an artificial neural network and links together the two diverse disciplines of electroanalytical chemistry and information sciences. The artificial neural network is used to ...