Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 44 for “"GAMS"”.
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The Advantages and Inheritance of Brown Stem Rot Resistance in Soybeans and The Implications to Breeding for Resistance (Phialophora Gregata, Disease Resistance)
… gregata Allington and Chamberlain (W. Gams). Field and greenhouse tests were performed to study the effect of BSR resistance on soybean yield, to study the heritability and genetics of BSR resistance, an to develop efficient methods of selecting for BSR resistance.
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Predicting Spatial Variability of Soil Organic Carbon in Delmarva Bays
… coefficient less than 0.3. GLM ridge and both GAMs achieved moderate accuracy at least once, usually using the 16 or 11 variable datasets. GAMs consistently performed the best. Prior to carbon analysis, hyperspectral signatures were recorded for the topmost soil horizons under different …
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Inheritance and Selection for Resistance to Phialophora Gregata in Soybeans
… gregata (Allington and Chamberlain) W. Gams is an important disease of soybeans (Glycine max (L.) Merr.) especially in the North Central U.S. Field and greenhouse experiments were initiated to study the inheritance of BSR resistance in a soybean plant introduction (PI), to examine the …
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Optimalizace rozpočtu
… model nelineárního programování v systému GAMS pomocí reálných dat a omezení. Model je poté použit na zkoumání změny rozdělení financí pro různé účelové funkce. Cílem sestavení modelu nebylo nabídnout nástroj, který bude automaticky používán pro rozdělování dotací na VUT, ale poskytnout …
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Screening model optimization for Panay River Basin planning in the Philippines
… in the basin. The modeling was completed in GAMS (General Algebraic Modeling System).
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Stochastic optimization of hydroelectric dam operations on the Biobio River in Chile
… results from an optimization model built in GAMS (General Algebraic Modeling System) and two simulations built in MATLAB by the author to assess the efficacy of various operational schemes.
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Analyses of Interactions Between Soybean and Phialophora Gregata
… gregata (Allington and Chamberlain) W. Gams, the cause of brown stem rot (BSR) in soybean (Glycine max (L.) Merr.), is critical to prevent yield losses in the northern USA. The objective of the first phase of this study was to determine the effect of P. gregata source on aggressiveness …
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Agronomic and molecular marker mapping of brown stem rot, phytophthora root rot, and powdery mildew resistance in soybean
… gregata (Allington and Chamberlain) W. Gams, and phytophthora root rot, caused by Phytophthora sojae Kaufmann & Gerdemann, are major diseases of soybean in Illinois. A gene for resistance to powdery mildew, caused by Microsphaera diffusa Cke. & Pk., has also been found to be linked to a …
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Decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains
… is proved and then it is implemented both in GAMS and C++ to get the best performance. A series of example problems are solved, both with the proposed Benders decomposition algorithm and commercially available global optimization software to determine the validity and the performance of the …
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Predicting the Effects of Sedative Infusion on Acute Traumatic Brain Injury Patients
… regression (LR), generalized additive models (GAMs), and deep learning) in providing guidance for sedative choice. We evaluated the performance of each model using metrics for accuracy, interpretability, scalability, and generalizability. Our results show that the new deep learning models were …
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Induction of anti-ergotamine antibodies in mice and steers and protection against fescue toxicosis in mice
… Acremonium coenophialum (Morgan-Jones and Gams) The fungus produces ergo peptide alkaloids, especially ergovaline. Consumption of endophyte-infected (ED fescue forage by cattle decreases serum prolactin and average daily weight gains, which results in economic losses for producers. …
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UNDERSTANDING OF THE VARIABILITY OF PHYTOPLANKTON ECOSYSTEM FUNCTION PROPERTIES: A SYNERGISTIC USE OF REMOTE SENSING AND IN SITU DATA
… was analysed using Generalised Additive Models (GAMs) and Artificial Neural Networks (ANNs). The significant relationships developed by the synergistic use of CPR measure of phytoplankton biomass and satellite chlorophyll a (Chl-a), allowed the production of a >50 years Chl-a dataset in the …
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Bayesian generalized additive model selection
Generalized additive models (GAMs) offer a parsimonious, flexible and interpretable framework for regression, particularly when handling a large numbers of candidate predictors. This thesis addresses the GAM variable selection problem: categorizing each candidate predictor's effect type to be …
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Fast and stable smoothing spline analysis of variance models for large samples with applications to electroencephalography data analysis
… to current implementations of SSANOVAs and GAMs that are available in R. The simulation results demonstrate that my approximations and algorithms can perform as well as the typical SSANOVA approximation, and can do so in a fraction of the time; furthermore, the simulation results reveal that …
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Hydroelectric power optimization using a decomposition procedure for the indefinite quadratic form
… River Basin and the models are solved using the GAMS/MINOS computer code. A comparison of the results obtained from successive linear programming, a fixed head linearization strategy, and direct nonlinear optimization of the nonconvex objective, with the results of the decomposition procedure, …
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Intensive development of New Zealand’s indigenous grasslands: Rates of change, assessments of vulnerability and priorities for protection
… predictions using Generalized Additive Models (GAMs) were used to establish relationships between two different types of dependent (response) variables (presence or absence of conversion) and potential environmental and proxy socio-economic explanatory variables. The chosen predictors for the …
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Risk Analysis of Adopting Conservation Practices on a Representative Peanut-Cotton Farm in Virginia
… model, REPVAFARM, is developed and solved with GAMS. The objective of the farmer is to maximize expected net return, while meeting a target income with certain allowable expected shortfall from the income target. The farmer is also constrained by land, labor, peanut quota, and levels of …
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The impacts of trade and agricultural policies in the Dominican Republic: a sector programming approach
… model is solved in its quadratic form using the GAMS/MINOS package. A competitive market is assumed where consumer and producer surplus is maximized. Quantities and prices are obtained endogenously. Nominal and Effective Rates of Protection were estimated for selected crops. Results indicated …
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Assessment of pre-treatment technologies for bio-ethanol production using multi-objective optimisation
… of each of these alternatives is performed using GAMS (General Algebraic Modelling System). The superstructure incorporates the following pre-treatment options: acid pre-treatment and steam explosion (acid-catalysed and un- catalysed), and both acid and enzymatic hydrolysis. The use of …
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Distribution Network Operation with High Penetration of Renewable Energy Sources
… programming (MILP) that is solved by using the GAMS software and then the obtained results are being analysed and discussed. In addition, the impact of wind and solar power penetration on the active and reactive distribution locational prices (D-LMPs) within the distribution market environment …
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