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Dissertations / Theses on the topic 'Functional model'

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Published: 4 June 2021
Last updated: 5 May 2022

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1

Blackburne, Benjamin P. "Functional model proteins : structure, function and evolution." Thesis, University of Nottingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405144.

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2

Ma, Genuo. "JACKKNIFE MODEL AVERAGING ON FUNCTIONAL LOGISTIC MODEL." Thesis, Uppsala universitet, Statistiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413059.

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3

Jun, Shi. "Frequentist Model Averaging For Functional Logistic Regression Model." Thesis, Uppsala universitet, Statistiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352519.

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Frequentist model averaging as a newly emerging approach provides us a way to overcome the uncertainty caused by traditional model selection in estimation. It acknowledges the contribution of multiple models, instead of making inference and prediction purely based on one single model. Functional logistic regression is also a burgeoning method in studying the relationship between functional covariates and a binary response. In this paper, the frequentist model averaging approach is applied to the functional logistic regression model. A simulation study is implemented to compare its performance with model selection. The analysis shows that when conditional probability is taken as the focus parameter, model averaging is superior to model selection based on BIC. When the focus parameter is the intercept and slopes, model selection performs better.
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4

LEAL, RICARDO AUGUSTO BOITEUX MENDES. "GRAMMAR MODEL-BASED FUNCTIONAL TEST." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=12322@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
O teste funcional de software é um desafio enfrentado há muito tempo por desenvolvedores. A complexidade crescente de sistemas computacionais torna esse desafio ainda maior. Uma tendência apontada como possível solução deste problema é o uso de teste baseado em modelos. Inspirada neste paradigma, esta dissertação retrata uma pesquisa sobre o uso de gramáticas como modelos de teste funcional. Modelos gramaticais podem capturar conceitos e comportamentos de um sistema e de seu ambiente usando um nível de abstração de acordo com o objetivo de teste. Eles também podem ser aplicados para descrever casos de teste funcional e guiar a execução de casos de teste gerados num sistema em teste. O resultado desta execução, representado na forma de um veredicto, revela a conformidade do sistema com seus requisitos e especificações. Para explorar o potencial dos modelos gramaticais, este trabalho definiu uma maneira sistemática de gerar e executar massas de teste. Esta solução permitiu a programação de diferentes estratégias de teste. Ela também facilitou a adaptação dos testes a mudanças de requisitos e promoveu o reuso dos testes existentes. Como efeito colateral deste estudo, um processo de teste funcional foi desenvolvido e a arquitetura de apoio aqui introduzida pode ser reutilizada ou estendida por futuras soluções de teste funcional.
Software functional test is a challenge faced by developers for a long time. The growing complexity of computing systems turns this challenge even greater. Model-based testing is a trend pointed out by the academia and the industry as a possible solution to this matter. Inspired by this paradigm, this dissertation depicts a research made on the use of grammars as functional test models. Grammar models can capture concepts and behaviors of a system and its environment at a level of abstraction according to the test goal. They also can be applied to describe functional test cases and guide the execution of the generated test cases against a system under test. The result of this execution, represented as a verdict, reveals the system conformity with its requirements and specifications. In order to explore grammar models potential, this work defined a systematic way to generate and execute a mass of tests. This solution allowed the implementation of different test strategies. It also assisted test adjustment to requirements change and promoted existing tests reuse. As a side-effect of this study, a functional test process was developed and the supporting architecture introduced here may be reused or extended by future functional test solutions.
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5

Toostani, Iman Ghodrati. "Tinnitus : a neuro-functional model." reponame:Repositório Institucional da UFABC, 2013.

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6

Guo, Chuan. "The stochastic volatility Markov-functional model." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/91418/.

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In this thesis we study low-dimensional stochastic volatility interest rate models for pricing and hedging exotic derivatives. In particular we develop a stochastic volatility Markov-functional model. In order to implement the model numerically, we further propose a general algorithm by working with basis functions and conditional moments of the driving Markov process. Motivated by a data driven study, we choose a SABR type model as a driving process. With this choice we specify a pre-model and develop an approximation to evaluate conditional moments of the SABR driver which serve as building blocks for the practical algorithm. Having discussed how to set up a stochastic volatility Markov-functional model next we study the calibration of a LIBOR based version of the model with the SABR type driving process. We consider a link between separable SABR LIBOR market models and stochastic volatility LIBOR Markov-functional models. Based on the link we propose a calibration routine to feed in SABR marginals by calibrating to the market vanilla options. Moreover we choose the parameters of the SABR driver by fitting to the market correlation structure. We compare the stochastic volatility Markov-functional model developed in the thesis with one-dimensional (non-stochastic-volatility) swap Markov-functional models in terms of pricing and hedging Bermudan type products. By doing so we investigate effects of correlation structure, implied volatility smiles and the introduction of stochastic volatility on Bermudan type products. Finally we compare Quasi-Gaussian models with Markov-functional models in terms of specification and calibration. In particular we study Quasi-Gaussian models formulated in the Markov-functional model framework to make clear the relationship between the two models.
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7

Manrique, Tito. "Functional linear regression models : application to high-throughput plant phenotyping functional data." Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT264/document.

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L'Analyse des Données Fonctionnelles (ADF) est une branche de la statistique qui est de plus en plus utilisée dans de nombreux domaines scientifiques appliqués tels que l'expérimentation biologique, la finance, la physique, etc. Une raison à cela est l'utilisation des nouvelles technologies de collecte de données qui augmentent le nombre d'observations dans un intervalle de temps.Les jeux de données fonctionnelles sont des échantillons de réalisations de fonctions aléatoires qui sont des fonctions mesurables définies sur un espace de probabilité à valeurs dans un espace fonctionnel de dimension infinie.Parmi les nombreuses questions étudiées par l'ADF, la régression linéaire fonctionnelle est l'une des plus étudiées, aussi bien dans les applications que dans le développement méthodologique.L'objectif de cette thèse est l'étude de modèles de régression linéaire fonctionnels lorsque la covariable X et la réponse Y sont des fonctions aléatoires et les deux dépendent du temps. En particulier, nous abordons la question de l'influence de l'histoire d'une fonction aléatoire X sur la valeur actuelle d'une autre fonction aléatoire Y à un instant donné t.Pour ce faire, nous sommes surtout intéressés par trois modèles: le modèle fonctionnel de concurrence (Functional Concurrent Model: FCCM), le modèle fonctionnel de convolution (Functional Convolution Model: FCVM) et le modèle linéaire fonctionnel historique. En particulier pour le FCVM et FCCM nous avons proposé des estimateurs qui sont consistants, robustes et plus rapides à calculer par rapport à d'autres estimateurs déjà proposés dans la littérature.Notre méthode d'estimation dans le FCCM étend la méthode de régression Ridge développée dans le cas linéaire classique au cadre de données fonctionnelles. Nous avons montré la convergence en probabilité de cet estimateur, obtenu une vitesse de convergence et développé une méthode de choix optimal du paramètre de régularisation.Le FCVM permet d'étudier l'influence de l'histoire de X sur Y d'une manière simple par la convolution. Dans ce cas, nous utilisons la transformée de Fourier continue pour définir un estimateur du coefficient fonctionnel. Cet opérateur transforme le modèle de convolution en un FCCM associé dans le domaine des fréquences. La consistance et la vitesse de convergence de l'estimateur sont obtenues à partir du FCCM.Le FCVM peut être généralisé au modèle linéaire fonctionnel historique, qui est lui-même un cas particulier du modèle linéaire entièrement fonctionnel. Grâce à cela, nous avons utilisé l'estimateur de Karhunen-Loève du noyau historique. La question connexe de l'estimation de l'opérateur de covariance du bruit dans le modèle linéaire entièrement fonctionnel est également traitée. Finalement nous utilisons tous les modèles mentionnés ci-dessus pour étudier l'interaction entre le déficit de pression de vapeur (Vapour Pressure Deficit: VPD) et vitesse d'élongation foliaire (Leaf Elongation Rate: LER) courbes. Ce type de données est obtenu avec phénotypage végétal haut débit. L'étude est bien adaptée aux méthodes de l'ADF
Functional data analysis (FDA) is a statistical branch that is increasingly being used in many applied scientific fields such as biological experimentation, finance, physics, etc. A reason for this is the use of new data collection technologies that increase the number of observations during a time interval.Functional datasets are realization samples of some random functions which are measurable functions defined on some probability space with values in an infinite dimensional functional space.There are many questions that FDA studies, among which functional linear regression is one of the most studied, both in applications and in methodological development.The objective of this thesis is the study of functional linear regression models when both the covariate X and the response Y are random functions and both of them are time-dependent. In particular we want to address the question of how the history of a random function X influences the current value of another random function Y at any given time t.In order to do this we are mainly interested in three models: the functional concurrent model (FCCM), the functional convolution model (FCVM) and the historical functional linear model. In particular for the FCVM and FCCM we have proposed estimators which are consistent, robust and which are faster to compute compared to others already proposed in the literature.Our estimation method in the FCCM extends the Ridge Regression method developed in the classical linear case to the functional data framework. We prove the probability convergence of this estimator, obtain a rate of convergence and develop an optimal selection procedure of theregularization parameter.The FCVM allows to study the influence of the history of X on Y in a simple way through the convolution. In this case we use the continuous Fourier transform operator to define an estimator of the functional coefficient. This operator transforms the convolution model into a FCCM associated in the frequency domain. The consistency and rate of convergence of the estimator are derived from the FCCM.The FCVM can be generalized to the historical functional linear model, which is itself a particular case of the fully functional linear model. Thanks to this we have used the Karhunen–Loève estimator of the historical kernel. The related question about the estimation of the covariance operator of the noise in the fully functional linear model is also treated.Finally we use all the aforementioned models to study the interaction between Vapour Pressure Deficit (VPD) and Leaf Elongation Rate (LER) curves. This kind of data is obtained with high-throughput plant phenotyping platform and is well suited to be studied with FDA methods
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8

Ayaz, Muhammad. "Model-Based Diagnosis of Software Functional Dependencies." Thesis, Linköping University, Department of Computer and Information Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-58580.

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Researchers have developed framework for diagnosis analysis that are called “Model Based Diagnosis Systems”. These systems are very general in scope, covers a wide range of malfunctions uncovering and identifying repair measures. This thesis is an effort to diagnose complex and lengthy static source code. Without executing source code discrepancies can only be identified by finding procedural dependencies.

With respect to modern programming languages, many software bugs arise due to logical erroneous calculations or miss handling of data structures. Modern Integrated Development Environments (IDE) like Visual Studio, J-Builder and Eclipse etc are strong enough to analyze and parse static text code to identify syntactical and type conversion errors. Some of IDE’s can automatically fix such kind of errors or provide different possible suggestions to developer.

In this thesis we have analyzed and extracted functional dependencies of source code. This extracted information can increase programmer’s understanding about code when they are extremely large or complex. By modeling this information into a model system, reduces time to debug the code in case of any failure. This increases productivity in terms of software development and in debugger skills as well. The main contribution of this thesis is the use of model based diagnosis techniques on software functional dependency graphs and charts.

Keywords: Model Based Diagnosis Systems, Integrated Development Environments, Procedural Dependencies, Erroneous calculations, Call graphs, Directed graph markup language.

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9

Cherukuri, Vijaya Krishna, and Piyush Gupta. "Model Based Testing for Non-Functional Requirements." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9851.

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Model Based Testing (MBT) is a new-age test automation technique traditionally used for Functional Black-Box Testing. Its capability of generating test cases by using model developed from the analysis of the abstract behavior of the System under Test is gaining popularity. Many commercial and open source MBT tools are available currently in market. But each one has its own specific way of modeling and test case generation mechanism that is suitable for varied types of systems. Ericsson, a telecommunication equipment provider company, is currently adapting Model Based Testing in some of its divisions for functional testing. Those divisions haven’t yet attempted adapting Model Based Testing for non-functional testing in a full-pledged manner. A comparative study between various MBT tools will help one of the Ericsson’s testing divisions to select the best tool for adapting to its existing test environment. This also helps in improving the quality of testing while reducing cost, time and effort. This thesis work helps Ericsson testing division to select such an effective MBT tool. Based on aspects such as functionality, flexibility, adaptability, performance etc., a comparative study is carried out on various available MBT tools and a few were selected among them: Qtronic, ModelJUnit and Elvior Motes.This thesis also helps to understand the usability of the selected tools for modeling of non-functional requirements using a new method. A brief idea of modeling the non-functional requirements is suggested in this thesis. A System under Test was identified and its functional behavior was modeled along with the non functional requirements in Qtronic and ModelJUnit. An experimental analysis, backed by observations of using the new proposed method indicates that the method is efficient enough to carry out modeling non-functional requirements along with modeling of functional requirements by identifying the appropriate approach.Model Based Testing (MBT) is a new-age test automation technique traditionally used for Functional Black-Box Testing. Its capability of generating test cases by using model developed from the analysis of the abstract behavior of the System under Test is gaining popularity. Many commercial and open source MBT tools are available currently in market. But each one has its own specific way of modeling and test case generation mechanism that is suitable for varied types of systems. Ericsson, a telecommunication equipment provider company, is currently adapting Model Based Testing in some of its divisions for functional testing. Those divisions haven’t yet attempted adapting Model Based Testing for non-functional testing in a full-pledged manner. A comparative study between various MBT tools will help one of the Ericsson’s testing divisions to select the best tool for adapting to its existing test environment. This also helps in improving the quality of testing while reducing cost, time and effort. This thesis work helps Ericsson testing division to select such an effective MBT tool. Based on aspects such as functionality, flexibility, adaptability, performance etc., a comparative study is carried out on various available MBT tools and a few were selected among them: Qtronic, ModelJUnit and Elvior Motes.

This thesis also helps to understand the usability of the selected tools for modeling of non-functional requirements using a new method. A brief idea of modeling the non-functional requirements is suggested in this thesis. A System under Test was identified and its functional behavior was modeled along with the non functional requirements in Qtronic and ModelJUnit. An experimental analysis, backed by observations of using the new proposed method indicates that the method is efficient enough to carry out modeling non-functional requirements along with modeling of functional requirements by identifying the appropriate approach.

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10

Correia, Fagner Cintra [UNESP]. "The standard model effective field theory: integrating UV models via functional methods." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/151703.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
O Modelo Padrão Efetivo é apresentado como um método consistente de parametrizar Física Nova. Os conceitos de Matching e Power Counting são tratados, assim como a Expansão em Derivadas Covariantes introduzida como alternativa à construção do conjunto de operadores efetivos resultante de um modelo UV particular. A técnica de integração funcional é aplicada em casos que incluem o MP com Tripleto de Escalares e diferentes setores do modelo 3-3-1 na presença de Leptons pesados. Finalmente, o coeficiente de Wilson de dimensão-6 gerado a partir da integração de um quark-J pesado é limitado pelos valores recentes do parâmetro obliquo Y.
It will be presented the principles behind the use of the Standard Model Effective Field Theory as a consistent method to parametrize New Physics. The concepts of Matching and Power Counting are covered and a Covariant Derivative Expansion introduced to the construction of the operators set coming from the particular integrated UV model. The technique is applied in examples including the SM with a new Scalar Triplet and for different sectors of the 3-3-1 model in the presence of Heavy Leptons. Finally, the Wilson coefficient for a dimension-6 operator generated from the integration of a heavy J-quark is then compared with the measurements of the oblique Y parameter.
CNPq: 142492/2013-2
CAPES: 88881.132498/2016-01
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11

Correia, Fagner Cintra. "The standard model effective field theory : integrating UV models via functional methods /." São Paulo, 2017. http://hdl.handle.net/11449/151703.

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Orientador: Vicente Pleitez
Resumo: O Modelo Padrão Efetivo é apresentado como um método consistente de parametrizar FísicaNova. Os conceitos de Matching e Power Counting são tratados, assim como a Expansão emDerivadas Covariantes introduzida como alternativa à construção do conjunto de operadoresefetivos resultante de um modelo UV particular. A técnica de integração funcional é aplicadaem casos que incluem o MP com Tripleto de Escalares e diferentes setores do modelo 3-3-1 napresença de Leptons pesados. Finalmente, o coeficiente de Wilson de dimensão-6 gerado a partirda integração de um quark-J pesado é limitado pelos valores recentes do parâmetro obliquo Y.
Doutor
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12

Rohr, Alexander. "A universal realizability model for sequential functional computation." Phd thesis, [S.l.] : [s.n.], 2003. http://elib.tu-darmstadt.de/diss/000351.

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13

Charles, Nathan Richard. "Data model refinement, generic profiling, and functional programming." Thesis, University of York, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341629.

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14

Sridharan, Ramesh. "A generative model for activations in functional MRI." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/64595.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 87-91).
Detection of brain activity and selectivity using functional magnetic resonance imaging (fMRI) provides unique insight into the underlying functional properties of the brain. We propose a generative model that jointly explains neural activation and temporal activity in an fMRI experiment. We derive an algorithm for inferring activation patterns and estimating the temporal response from fMRI data, and present results on synthetic and actual fMRI data, showing that the model performs well in both settings, and provides insight into patterns of selectivity.
by Ramesh Sridharan.
S.M.
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15

Zhang, Jiyu. "Model-Based Fault Diagnosis For Automotive Functional Safety." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480665190516692.

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16

Woolrich, Mark. "Model-based approaches to FMRI analysis." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249485.

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17

Arthur, M. J. P. "Functional studies of purified rat hepatic macrophages." Thesis, University of Southampton, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374057.

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18

Gillella, Santhosh Kumar. "Functional validation model for routers of Networks-on-Chips /." Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1559856911&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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19

Huang, Shell Ying. "A functional processor system model on loosely-coupled machines." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46348.

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20

Alkhairy, Samiya Ashraf. "An analytic model of the Cochlea and functional interpretations." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113732.

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Thesis: Ph. D. in Biomedical Engineering, Harvard-MIT Program in Health Sciences and Technology, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 120-125).
The cochlea is part of the peripheral auditory system that has unique and intriguing features - for example it acts as a wave-based frequency analyzer and amplifies traveling waves. The human cochlea is particularly interesting due to its critical role in our ability to process speech. To better understand how the cochlea works, we develop a model of the mammalian cochlea. We develop the model using a mixed physical-phenomenological approach. Specifically, we utilize existing work on the physics of classical box-representations of the cochlea, as well as the behavior of recent data-derived wavenumber estimates. We provide closed-form expressions for macromechanical responses - the pressure difference across the Organ of Corti (OoC), and the OoC velocity, as well as the response characteristics - such as bandwidth and group delay. We also provide expressions for the wavenumber of the pressure traveling wave and the impedance of the OoC that underlie these macromechanical responses and are particularly important variables which provide us with information regarding how the cochlea works; they are a window to properties such as effective stiffness, positive and negative damping or amplifier profile, incremental wavelengths, gain and decay, phase and group velocities, and dispersivity. The expressions are in terms of three model constants, which can be reduced to two constants for most applications. Spatial variation is implicitly incorporated through an assumption of scaling symmetry, which relates space and frequency, and reduces the problem to a single independent dimension. We perform and discuss various tests of the model. We then exemplify a model application by determining the wavenumber and impedance from observable response characteristics. To do so, we determine closed-form expressions for the model constants in terms of the response characteristics. Then, using these expressions, along with values for human response characteristics that are available from psychoacoustic measurements or otoacoustic emissions, we determine the human wavenumber and impedance. In addition, we determine the difference in the wavenumber and impedance in the human base (where the OoC velocity responds maximally to high frequencies), and the human apex (where the OoC velocity responds maximally to low frequencies) and discuss their interpretations. The model is primarily valid near the peak region of the traveling wave, and is linear - therefore the model, as is, does not account for cochlear nonlinearity, and hence is primarily suitable for low stimulus levels. Finally, we discuss other scientific and engineering model applications which we can pursue, as well as potential modifications to the model, including suggestions regarding incorporating nonlinearity.
by Samiya A Alkhairy.
Ph. D. in Biomedical Engineering
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21

Embury, Suzanne M. "Constraint-based updates in a functional data model database." Thesis, University of Aberdeen, 1994. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU066736.

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State change is an intrinsic feature of real-world database applications. However, due to their inherent procedurality, updates can be difficult to support in databases based on the more declarative paradigms, such as the functional and logic data models. A common approach to this problem is to build two distinct subsystems, one of which is allowed to make state changes and the other of which is not. We have explored three ways to provide more uniform support for user updates within the context of P/FDM, a Functional Data Model database implemented in Prolog. The first of these is a subsystem for the efficient checking of a class of semantic integrity constraints, expressed in a declarative language, which relieves users of the burden of ensuring that their updates do not violate database integrity. The second is a simple transaction mechanism that allows users to suspend integrity checking during complex updates, but which ensures that validity has been restored before any transaction is allowed to commit. The final extension provides users with a language for the declarative description of object creations, in which updates are described in terms of the constraints that the resulting database state must satisfy, rather than as sequences of individual update operations. The common factor in each case is the use of semantic domain knowledge, expressed in the form of constraints, to allow the DBMS to insulate users from the worst consequences of state changes. The extended version of the P/FDM system now forms a solid platform from which to experiment further with constraint processing techniques in a database context.
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22

Hu, Zonghui. "Semiparametric functional data analysis for longitudinal/clustered data: theory and application." Texas A&M University, 2004. http://hdl.handle.net/1969.1/3088.

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Semiparametric models play important roles in the field of biological statistics. In this dissertation, two types of semiparametic models are to be studied. One is the partially linear model, where the parametric part is a linear function. We are to investigate the two common estimation methods for the partially linear models when the data is correlated — longitudinal or clustered. The other is a semiparametric model where a latent covariate is incorporated in a mixed effects model. We will propose a semiparametric approach for estimation of this model and apply it to the study on colon carcinogenesis. First, we study the profilekernel and backfitting methods in partially linear models for clustered/longitudinal data. For independent data, despite the potential rootn inconsistency of the backfitting estimator noted by Rice (1986), the two estimators have the same asymptotic variance matrix as shown by Opsomer and Ruppert (1999). In this work, theoretical comparisons of the two estimators for multivariate responses are investigated. We show that, for correlated data, backfitting often produces a larger asymptotic variance than the profilekernel method; that is, in addition to its bias problem, the backfitting estimator does not have the same asymptotic efficiency as the profilekernel estimator when data is correlated. Consequently, the common practice of using the backfitting method to compute profilekernel estimates is no longer advised. We illustrate this in detail by following Zeger and Diggle (1994), Lin and Carroll (2001) with a working independence covariance structure for nonparametric estimation and a correlated covariance structure for parametric estimation. Numerical performance of the two estimators is investigated through a simulation study. Their application to an ophthalmology dataset is also described. Next, we study a mixed effects model where the main response and covariate variables are linked through the positions where they are measured. But for technical reasons, they are not measured at the same positions. We propose a semiparametric approach for this misaligned measurements problem and derive the asymptotic properties of the semiparametric estimators under reasonable conditions. An application of the semiparametric method to a colon carcinogenesis study is provided. We find that, as compared with the corn oil supplemented diet, fish oil supplemented diet tends to inhibit the increment of bcl2 (oncogene) gene expression in rats when the amount of DNA damage increases, and thus promotes apoptosis.
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23

Chen, Jinsong. "Variance analysis for kernel smoothing of a varying-coefficient model with longitudinal data /." Electronic version (PDF), 2003. http://dl.uncw.edu/etd/2003/chenj/jinsongchen.pdf.

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24

KIM, NAMHEE. "A semiparametric statistical approach to Functional MRI data." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1262295445.

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Todd, Barbara, and n/a. "A case studies analysis of the functional model of school refusal behaviour." University of Canberra. Education, 1995. http://erl.canberra.edu.au./public/adt-AUC20061109.145654.

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School refusal occurs across a broad range of students from the first to the final years of school, and is of concern to students, parents and teachers alike. This study uses the perspective of practitioners working at the school level to identify linkages between the presenting problems, interventions and outcomes of school refusal. This pattern is then compared to the Functional Model of School Refusal to establish the relevance of the Model. A multiple single-case study approach was used with ten case histories with positive outcomes being matched against the Functional Model. As these provided some support for the model an additional six case histories with negative outcomes were then matched against the Model. Two interviews of practitioners who had worked with school refusal were also analysed. The Functional Model of School Refusal received some support through this analysis, but areas were identified which were not adequately addressed by the Model. The Model was subsequently revised into a broader functional approach which takes greater account of the role of the family and environmental factors affecting school refusal. It is recommended that a broader multi-modal approach to intervention be implemented by practitioners dealing with school refusal.
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Kaisajuntti, Linus. "Multidimensional Markov-Functional and Stochastic Volatiliy Interest Rate Modelling." Doctoral thesis, Handelshögskolan i Stockholm, Institutionen för Finansiell ekonomi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-2226.

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This thesis consists of three papers in the area of interest rate derivatives modelling. The pricing and hedging of (exotic) interest rate derivatives is one of the most demanding and complex problems in option pricing theory and is of great practical importance in the market. Models used in production at various banks can broadly be divided in three groups: 1- or 2-factor instantaneous short/forward rate models (such as Hull & White (1990) or Cheyette (1996)), LIBOR/swap market models (introduced by Brace, Gatarek & Musiela (1997), Miltersen, Sandmann & Sondermannn (1997) and Jamshidian (1997)) and the one or two-dimensional Markov-functional models of Hunt, Kennedy & Pelsser (2000)). In brief and general terms the main characters of the above mentioned three modelling frameworks can be summarised as follows. Short/forward rate models are by nature computationally efficient (implementations may be done using PDE or lattice methods) but less flexible in terms of fitting of implied volatility smiles and correlations between various rates. Calibration is hence typically performed in a ‘local’ (product by product based) sense. LIBOR market models on the other hand may be calibrated in a ‘global’ sense (i.e. fitting close to everything implying that one calibration may in principle be used for all products) but are of high dimension and an accurate implementation has to be done using the Monte Carlo method. Finally, Markov-functional models can be viewed as designed to combine the computational efficiency of short/forward rate models with flexible calibration properties. The defining property of a Markov-functional model is that each rate and discount factor at all times can be written as functionals of some (preferably computationally simple) Markovian driving process. While this is a property of most commonly used interest rate models Hunt et al. (2000) introduced a technique to numerically determine a set of functional forms consistent with market prices of vanilla options across strikes and expiries. The term a ‘Markov-functional model’ is typically referring to this type of model as opposed to the more general meaning, a terminology that is adopted also in this thesis. Although Markov-functional models are indeed a popular choice in practice there are a few outstanding points on the practitioners’ wish list. From a conceptual point of view there is still work to be done in order to fully understand the implications of various modelling choices and how to efficiently calibrate and use the model. Part of the reason for this is that while the properties of the short/forward rate and the LIBOR market models may be understood from their defining SDEs this is less clear for a Markov-functional model. To aid the understanding of the Markov-functional model Bennett & Kennedy (2005) compares one-dimensional LIBOR and swap Markov-functional models with the one-factor separable LIBOR and swap market models and concludes that the models are similar distributionally across a wide range of viable market conditions. Although this provides good intuition there is still more work to be done in order to fully understand the implications of various modelling choices, in particular in a two or higher dimensional setting. The first two papers in this thesis treat extensions of the standard Markov-functional model to be able to use a higher dimensional driving process. This allows a more general understanding of the Markov-functional modelling framework and enables comparisons with multi-factor LIBOR market models. From a practical point of view it provides more powerful modelling of correlations among rates and hence a better examination and control of some types of exotic products. Another desire among practitioners is to develop an efficient way of using a process of stochastic volatility type as a driver in a Markov-functional model. A stochastic volatility Markov-functional model has the virtue of both being able to fit current market prices across strikes and to provide better control over the future evolution of rates and volatilities, something which is important both for pricing of certain products and for risk management. Although there are some technical challenges to be solved in order to develop an efficient stochastic volatility Markov-functional model there are also many (more practical) considerations to take into account when choosing which type of driver to use. To shed light on this the third paper in the thesis performs a data driven study in order to motivate and develop a suitable two-dimensional stochastic volatility process for the level of interest rates. While the main part of the paper is general and not directly linked to any complete interest rate model for exotic derivatives, particular care is taken to examine and equip the process with properties that will aid use as a driver for a stochastic volatility Markov-functional model.

Diss. Stockholm :  Stockholm School of Economics, 2011. Introduction together with 3 papers

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Malík, Lukáš. "HIL model elektromechanického systému." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-376959.

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This diploma thesis deals with creation of elektromechanical model in Modelica language which is subsequently imported into LabVIEW environment. The Modelica language, LabVIEW graphical programming tool and Functional Mock-up Interface 2.0 standard are described in the introduction of this thesis. Functional Mock-up Interface is a tool independent standard witch, defines a standardized interface to ModelExchange and Co-simulation of complex system components. The model of electromechanical system was created based on Functional Mock-up Interface standard. Part of the work focuses on the Functional Mock-up Unit storage possibilities and LabVIEW support to import models of this type. The imported model was simulated and tested in this environment. Finally, the instance of Functional Mock-up Unit was connected with LabVIEW FPGA target for the purpose of model HIL simulation on CompactRIO platform.
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Marín, Campusano Beatriz Mariela. "Functional Size Measurement and Model Verification for Software Model-Driven Developments: A COSMIC-based Approach." Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/11237.

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Historically, software production methods and tools have a unique goal: to produce high quality software. Since the goal of Model-Driven Development (MDD) methods is no different, MDD methods have emerged to take advantage of the benefits of using conceptual models to produce high quality software. In such MDD contexts, conceptual models are used as input to automatically generate final applications. Thus, we advocate that there is a relation between the quality of the final software product and the quality of the models used to generate it. The quality of conceptual models can be influenced by many factors. In this thesis, we focus on the accuracy of the techniques used to predict the characteristics of the development process and the generated products. In terms of the prediction techniques for software development processes, it is widely accepted that knowing the functional size of applications in order to successfully apply effort models and budget models is essential. In order to evaluate the quality of generated applications, defect detection is considered to be the most suitable technique. The research goal of this thesis is to provide an accurate measurement procedure based on COSMIC for the automatic sizing of object-oriented OO-Method MDD applications. To achieve this research goal, it is necessary to accurately measure the conceptual models used in the generation of object-oriented applications. It is also very important for these models not to have defects so that the applications to be measured are correctly represented. In this thesis, we present the OOmCFP (OO-Method COSMIC Function Points) measurement procedure. This procedure makes a twofold contribution: the accurate measurement of objectoriented applications generated in MDD environments from the conceptual models involved, and the verification of conceptual models to allow the complete generation of correct final applications from the conceptual models involved. The OOmCFP procedure has been systematically designed, applied, and automated. This measurement procedure has been validated to conform to the ISO 14143 standard, the metrology concepts defined in the ISO VIM, and the accuracy of the measurements obtained according to ISO 5725. This procedure has also been validated by performing empirical studies. The results of the empirical studies demonstrate that OOmCFP can obtain accurate measures of the functional size of applications generated in MDD environments from the corresponding conceptual models.
Marín Campusano, BM. (2011). Functional Size Measurement and Model Verification for Software Model-Driven Developments: A COSMIC-based Approach [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/11237
Palancia
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Sorensen, Michael Elliott. "Functional Consequences of Model Complexity in Hybrid Neural-Microelectronic Systems." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6908.

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Hybrid neural-microelectronic systems, systems composed of biological neural networks and neuronal models, have great potential for the treatment of neural injury and disease. The utility of such systems will be ultimately determined by the ability of the engineered component to correctly replicate the function of biological neural networks. These models can take the form of mechanistic models, which reproduce neural function by describing the physiologic mechanisms that produce neural activity, and empirical models, which reproduce neural function through more simplified mathematical expressions. We present our research into the role of model complexity in creating robust and flexible behaviors in hybrid systems. Beginning with a complex mechanistic model of a leech heartbeat interneuron, we create a series of three systematically reduced models that incorporate both mechanistic and empirical components. We then evaluate the robustness of these models to parameter variation, and assess the flexibility of the models activities. The modeling studies are validated by incorporating both mechanistic and semi-empirical models in hybrid systems with a living leech heartbeat interneuron. Our results indicate that model complexity serves to increase both the robustness of the system and the ability of the system to produce flexible outputs.
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Salmanoglu, Murat. "An Error Prevention Model For Cosmic Functional Size Measurement Method." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614632/index.pdf.

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Estimation and measurement of the size of software is crucial for project management activities. Functional size measurement is one of the most frequently used methods to measure size of software and COSMIC is one of the popular methods for functional size measurement. Although precise size measurement is critical, the results may differ because of the errors made in the measurement process. The erroneous measurement results cause lack of confidence for the methods as well as reliability problems for effort and cost estimations. This research proposes an error prevention model for COSMIC Functional Size Measurement method to increase the reliability of the measurements. The prevention model defines data movement patterns for different types of the functional processes and a cardinality table to prevent errors. We validated the prevention model with two different case studies and observed that it can decrease errors up to 90% in our case studies.
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31

Ott, Thomas. "Functional genomics of nodulins in the model legume Lotus japonicus." Phd thesis, [S.l. : s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=975678981.

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32

Mathisen, Jan. "Analyses of experiments and a functional model for ship rolling." Thesis, Brunel University, 1988. http://bura.brunel.ac.uk/handle/2438/5429.

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Simulation techniques and a Volterra functional polynomial are applied as two alternative methods of calculating ship roll response to irregular waves. The roll motion is modeled by a single degree of freedom differential equation, with two alternative nonlinear damping functions. Estimation techniques are developed to obtain the coefficients of the damping functions from decay tests and from forced rolling tests. A linear plus quadratic form of damping function is found to be slightly preferable to a linear plus cubic form. The roll response process is found to be non-Gaussian, and characterised by negative values of the coefficient of kurtosis. Simulation results agree well with results obtained from the functional polynomial for low response levels, but show increasing disagreement as the response level increases, due to divergence of the functional polynomial representation. Analyses of results from model tests in irregular waves and from sea trials confirm the non-Gaussian nature of the roll response. A "constrained" form of the generalised gamma distribution function is found to provide an improved fit to the roll maxima and tothe roll minima, as compared to the Rayleigh distribution. The model tests also show some asymmetry in the roll response, which is not predicted by the theoretical model. It is suggested that this asymmetry may primarily be due to the combined effect of horizontal drift forces and the restraining system used to keep the model on station.
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Demakis, George J. "Functional cerebral asymmetry : a test of the selective activational model /." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-12232009-020403/.

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34

Hermann, Jan. "Towards unified density-functional model of van der Waals interactions." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/18706.

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Van der Waals-Wechselwirkungen (vdW) sind allgegenwärtig und spielen eine zentrale Rolle in einer großen Anzahl biologischer und moderner synthetischer Materialien. Die am weitesten verbreitete theoretische Methode zur Berechnung von Materialeigenschaften, die Dichtefunktionaltheorie (DFT) in semilokaler Näherung, vernachlässigt diese Wechselwirkungen jedoch größtenteils, was zur Entwicklung vieler verschiedener vdW-Modelle führte. Die hier vorgestellte Arbeit ebnet den Weg hin zu einem vereinheitlichten vdW-Modell welches die besten Elemente der unterschiedlichen Klassen von vdW-Modellen vereint. Zu diesem Zweck haben wir einen vereinheitlichten theoretischen Rahmen geschaffen, der auf dem Reichweite-separierten Adiabatischer-Zusammenhang-Fluktuations-Dissipations-Theorem aufbaut und die meisten existierenden vdW-Modelle umfasst. Wir analysieren die MBD-korrelierte Wellenfunktion am prototypischen Beispiel von π–π-Wechselwirkungen in supramolekularen Komplexen und stellen fest, dass diese Wechselwirkungen größtenteils durch delokalisierte kollektive Ladungsfluktuationen entstehen. Um zu dem langreichweitigen vdW-Modell ein ausgewogenes kurzreichweitiges Dichtefunktional zu identifizieren, präsentieren wir eine umfassende Untersuchung zum Zusammenspiel der kurz- und langreichweitigen Energiebeiträge in acht semilokalen Funktionalen und drei vdW-Modellen für eine große Spanne von Systemen. Die Bindungsenergieprofile vieler der DFT+vdW-Kombinationen unterscheiden sich sowohl quantitativ als auch qualitativ stark voneinander. Schließlich untersuchen wir die Performance des Vydrov–Van Voorhis-Polarisierbarkeitsfunktionals über das Periodensystem der Elemente hinweg und identifizieren eine systematische Unterschätzung der Polarisierbarkeiten und vdW-C₆-Koeffizienten für s- und d-Block-Elemente. Als Lösung entwickeln wir eine orbitalabhängige Verallgemeinerung des Funktionals.
The ubiquitous long-range van der Waals interactions play a central role in nearly all biological and modern synthetic materials. Yet the most widely used theoretical method for calculating material properties, the density functional theory (DFT) in semilocal approximation, largely neglects these interactions, which motivated the development of many different vdW models. The work in this thesis paves way towards a unified vdW model that combines best elements from the different classes of the vdW models. To this end, we developed a unified theoretical framework based on the range-separated adiabatic-connection fluctuation--dissipation theorem that encompasses most existing vdW models. We analyze the MBD correlated wave function on the prototypical case of π–π interactions in supramolecular complexes and find that these interactions are largely driven by delocalized collective charge fluctuations. To identify a balanced short-range density functional to accompany the long-range vdW model, we present a comprehensive study of the interplay between the short-range and long-range energy contributions in eight semilocal functionals and three vdW models on a wide range of systems. The binding-energy profiles of many of the DFT+vdW combinations differ both quantitatively and qualitatively, and some of the qualitative differences are independent of the choice of the vdW model. Finally, we investigate the performance of the Vydrov—Van Voorhis polarizability functional across the periodic table, identify systematic underestimation of the polarizabilities and vdW C₆ coefficients for s- and d-block elements, and develop an orbital-dependent generalization of this functional to resolve the issue.
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Bothma, Adel. "A model-based statistical approach to functional MRI group studies." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:7d52e314-39f7-41b7-bdd3-6e5c30d4940a.

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Functional Magnetic Resonance Imaging (fMRI) is a noninvasive imaging method that reflects local changes in brain activity. FMRI group studies involves the analysis of the functional images acquired for each of a group of subjects under the same experimental conditions. We propose a spatial marked point-process model for the activation patterns of the subjects in a group study. Each pattern is described as the sum of individual centres of activation. The marked point-process that we propose allows the researcher to enforce repulsion between all pairs of centres of an individual subject that are within a specified minimum distance of each other. It also allows the researcher to enforce attraction between similarly-located centres from different subjects. This attraction helps to compensate for the misalignment of corresponding functional areas across subjects and is a novel method of addressing the problem of imperfect inter-subject registration of functional images. We use a Bayesian framework and choose prior distributions according to current understanding of brain activity. Simulation studies and exploratory studies of our reference dataset are used to fine-tune the prior distributions. We perform inference via Markov chain Monte Carlo. The fitted model gives a summary of the activation in terms of its location, height and size. We use this summary both to identify brain regions that were activated in response to the stimuli under study and to quantify the discrepancies between the activation maps of subjects. Applied to our reference dataset, our measure is successful in separating out those subjects with activation patterns that do not agree with the overall group pattern. In addition, our measure is sensitive to subjects with a large number of activation centres relative to the other subjects in the group. The activation summary given by our model makes it possible to pursue a range of inferential questions that cannot be addressed with ease by current model-based approaches.
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Toczé, Klervie. "Functional Reactive Programming as programming model for telecom server software." Thesis, Linköpings universitet, Programvara och system, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113142.

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This thesis studies the use of the functional reactive programming (FRP) framework reactive-banana in a prototype which simulates a part of a Long-Term Evolution (LTE) base station: the Radio Resource Control connection setup procedure. The investigated problem is to determine whether using this FRP framework leads to an implementation with suitable performance and improved maintainability compared to the current implementation. Enhancing the maintainability of the base station software enables quicker and more efficient maintenance activities, which lead to an improved customer satisfaction. Moreover, it means that less programmers need to work on maintenance, so they can work on developing new products instead. In order to compare the use of the FRP paradigm to the one currently used in the base station implementation, the object-oriented programming (OOP) paradigm, a second prototype using this paradigm was also implemented. Having two prototypes implementing the same designed reference model (which is a simplified version of the Radio Resource Control connection setup procedure) enables a relevant comparison of the two paradigms. The two prototypes were then compared in terms of performance and maintainability. The maintainability evaluation consisted in using both software metrics and experts’ assessment, as this has been proven to be the most efficient way to evaluate software maintainability. Four experts were asked to fill in a questionnaire after reviewing the code of the two implementations. The comparison of the two prototypes indicates that the FRP prototype is more maintainable than the OOP one, but the OOP prototype has better performances than the FRP one. Moreover, the performance of the FRP prototype during the conducted tests indicates that such an implementation of the FRP paradigm is not suitable for a real base station.
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Iliffe, Christopher. "An inverse predictive model for the design of functional textiles." Thesis, University of Newcastle upon Tyne, 2016. http://hdl.handle.net/10443/3351.

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Coated woven fabrics are used for large scale structures including airports and sports stadia. Manufacturers produce a range of fabrics from which a single fabric is selected by the structural engineer based on design criteria such as stiffness, weight, strength and formability. Designs must therefore utilise a fabric with properties which may not be optimal for that particular application. This thesis develops and tests a model that allows a bespoke coated woven fabric to be designed with specified mechanical properties such as tensile stiffness, Poison’s ratio and shear stiffness. A method is developed to ‘invert’ an existing predictive mechanistic ‘unit cell’ model using the derivatives of the equations defining the unit cell. The existing model is altered to enable the prediction of shear characteristics in addition to tensile properties by the inclusion of the coating using a finite element representation. The ‘inverse’ model is shown to accurately design a fabric for specific and attainable targets of Young’s modulus, Poisson’s ratio, and shear stiffness which have been derived using the predictive model for various fabric stress states. The effect of variability in fabric parameters on the tensile response of a fabric is considered using both Monte Carlo and FORM analysis. The sensitivity of the fabric response to biaxial loading is calculated using the direction cosines defined in the FORM methodology. The calculation of fabric sensitivity also enables a detailed investigation of the sensitivity of fabric stress-strain behaviour to variation in individual fabric parameters. A method is developed to design fabrics with mechanical properties which are robust to changes in manufacturing parameters by altering the geometry of the fabric. The model is validated by comparing the inverse model output to unit cell model input and also to biaxial test results. The inverse model shows excellent fidelity with results calculated using the unit cell model, but fails to adequately reproduce the actual fabric geometry when target stiffness values are based on biaxial test data. A method for the removal of yarns from fabrics and tensile testing of coated fabric yarn specimens is also developed. iii It is common practice to use a plane stress formulation to approximate the stress-strain response of a coated woven fabric. Comparison of the model output with biaxial test results necessitated the creation of a method for the calculation of fabric tensile stiffness at multiple stress states instead of a single set of elastic constants. This approach takes into account the complex nonlinear behaviour of architectural fabrics by considering the variation in stress-strain behaviour at different biaxial stress states. The final inverse model provides a novel tool for the design of coated woven fabric with prescribed mechanical responses at multiple stress states that is robust to variations in its constituent parameters, with scope for future application in textile architecture, medical textiles and industrial textiles.
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Hudson, Tamaro Syton. "Functional differences among Isothiocyanates in the Rat Esophageal Tumor Model /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486457871784204.

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39

Winstanly, Andrew. "Calibration and implementation of a functional global auto-ignition model." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/9134.

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Includes bibliographical references.
This research is based on a functional global reaction-rate-based auto-ignition model (FGAM) developed at the Sasol Advanced Fuels Laboratory (SAFL). During the development of the model, its performance had been validated against a detailed kinetic auto-ignition mechanism in regions of lean to stoichiometric air-fuel ratio for n-heptane, iso-octane, 1-hexene, toluene, methanol and a quaternary gasoline surrogate blend of iso-octane, toluene, nheptane and n-hexane. Subsequent to the publication of the model, sets of reaction coefficients for PRF (Primary Reference Fuel) and TSF (Toluene Standardisation Fuel) blends had been developed and published. In its original form, however, the model could not be implemented in typical engine and chemical kinetic model simulation software. In this work, an investigation was made into the form and stiffness limitations of the FGAM which prevented implementation into standard engine and chemical kinetic codes. Changes made to the form of the model that allowed implementation into these codes without significantly altering the behavioural functions of the model were investigated. Subsequent to the investigation, a modification was introduced to the FGAM in the form of a second pseudo-QSSA (quasi-steady-state assumption) which eliminated the need for calculation of the transient concentration of one of the model species. The resulting reduction in numerical stiffness allowed for the revised model to be implemented as a descriptor for combustions kinetics in engine simulations in GT-Suite.
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Holmes, Paul Stewart. "The development of a functional equivalence model for motor imagery." Thesis, Manchester Metropolitan University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326769.

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41

Cavdaroglu, Seda Özdemir. "Functional specialization in the brain." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17450.

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Menschen teilen mit vielen Spezies die Fähigkeit, aus einer Menge von Objekten deren Numerosität zu extrahieren. Es wird angenommen, dass diese Fähigkeit die Grundlage für die Menschen eigene, symbolisch-mathematische Fertigkeiten bildet. Daher ist ein besseres Verständnis der neuralen Charakteristiken dieser Fähigkeit von großer Bedeutung. Eines der einflussreichsten Modelle (das Triple Code Modell-TCM) nimmt an, dass dieser evolutionär alte Mechanismus in horizontalen Anteil des intraparietalen Sulcus verortet werden kann, der die Bedeutung von Anzahl in einer format- und modalitätsunabhängigen Art und Weise repräsentiert (d.h., Größencode). Zusätzlich wird angenommen, dass Subtraktion auf eben dieser Fähigkeit aufbaut, wohingegen Multiplikation stärker auf phonologischen Verarbeitungsmechanismen beruht (d.h., verbaler Code). Elektrophysiologische Untersuchungen beim Affen deuten auf einen gewissen Grad an Abstraktion von semantischer Größeninformation im parietalen Kortex hin. Jedoch wurde dies bisher nur für kleine Numerositäten (
Humans as well as other animals are endowed with the capacity to extract the numerosity (i.e., the number of items) of a given set of objects. This capacity is thought to form the basis of human specific symbolic mathematical abilities. Hence, understanding its nature is of importance. One of the most influential models (The Triple Code Model) suggests that this evolutionarily ancient mechanism resides on the horizontal aspect of the intraparietal sulcus and represents number semantics in a format and modality independent fashion (i.e., magnitude code). In addition, subtraction is thought to rely more on this mechanism whereas multiplication relies more on phonological circuits (i.e., verbal code). Although there is evidence from non-human primate electrophysiology suggesting a certain degree of abstraction for number semantics in the parietal cortex, this was only found for small numerosities (
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Lehsten, Veiko. "Functional analysis and modelling of vegetation plant functional types in a mesocosmos experiment and a mechanistic model /." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=97781520X.

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Bell, Jonathan. "Interpretation of simulation for model-based design analysis of engineered systems." Thesis, Aberystwyth University, 2006. http://hdl.handle.net/2160/05880836-32b8-4f65-abfe-9b0ecf16cc42.

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This thesis attempts to answer the question "Can we devise a language for interpretation of behavioural simulation of engineered systems (of arbitrary complexity) in terms of the systems’ purpose?" It does so by presenting a language that represents a device’s function as achieving some purpose if the device is in a state that is intended to trigger the function and the function’s expected effect is present. While most work in the qualitative and model-based reasoning community has been concerned with simulation, this language is presented as a basis for interpret- ing the results of the simulation of a system, enabling these results to be expressed in terms of the system’s purpose. This, in turn, enables the automatic production of draft design analysis reports using model based analysis of the subject system. The increasing behavioural complexity of modern systems (resulting from the increasing use of microprocessors and software) has led to a need to interpret the results of simulation in cases beyond the capabilities of earlier functional mod- elling languages. The present work is concerned with such cases and presents a functional modelling language that enables these complex systems to be analysed. Specifically, the language presented herein allows functional description and interpretation of the following. • Cases where it is desired to distinguish between partial and complete failure of a function. • Systems whose functionality depends on achieving a sequence of intermittent effects. • Cases where a function being achieved in an untimely manner (typically late) needs to be distinguished from a function failing completely. • Systems with functions (such as warning functions) that depend upon the state of some other system function. This offers significant increases both in the range of systems and of design analysis tasks for which the language can be used, compared to earlier work.
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Jiang, Huijing. "Statistical computation and inference for functional data analysis." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37087.

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My doctoral research dissertation focuses on two aspects of functional data analysis (FDA): FDA under spatial interdependence and FDA for multi-level data. The first part of my thesis focuses on developing modeling and inference procedure for functional data under spatial dependence. The methodology introduced in this part is motivated by a research study on inequities in accessibility to financial services. The first research problem in this part is concerned with a novel model-based method for clustering random time functions which are spatially interdependent. A cluster consists of time functions which are similar in shape. The time functions are decomposed into spatial global and time-dependent cluster effects using a semi-parametric model. We also assume that the clustering membership is a realization from a Markov random field. Under these model assumptions, we borrow information across curves from nearby locations resulting in enhanced estimation accuracy of the cluster effects and of the cluster membership. In a simulation study, we assess the estimation accuracy of our clustering algorithm under a series of settings: small number of time points, high noise level and varying dependence structures. Over all simulation settings, the spatial-functional clustering method outperforms existing model-based clustering methods. In the case study presented in this project, we focus on estimates and classifies service accessibility patterns varying over a large geographic area (California and Georgia) and over a period of 15 years. The focus of this study is on financial services but it generally applies to any other service operation. The second research project of this part studies an association analysis of space-time varying processes, which is rigorous, computational feasible and implementable with standard software. We introduce general measures to model different aspects of the temporal and spatial association between processes varying in space and time. Using a nonparametric spatiotemporal model, we show that the proposed association estimators are asymptotically unbiased and consistent. We complement the point association estimates with simultaneous confidence bands to assess the uncertainty in the point estimates. In a simulation study, we evaluate the accuracy of the association estimates with respect to the sample size as well as the coverage of the confidence bands. In the case study in this project, we investigate the association between service accessibility and income level. The primary objective of this association analysis is to assess whether there are significant changes in the income-driven equity of financial service accessibility over time and to identify potential under-served markets. The second part of the thesis discusses novel statistical methodology for analyzing multilevel functional data including a clustering method based on a functional ANOVA model and a spatio-temporal model for functional data with a nested hierarchical structure. In this part, I introduce and compare a series of clustering approaches for multilevel functional data. For brevity, I present the clustering methods for two-level data: multiple samples of random functions, each sample corresponding to a case and each random function within a sample/case corresponding to a measurement type. A cluster consists of cases which have similar within-case means (level-1 clustering) or similar between-case means (level-2 clustering). Our primary focus is to evaluate a model-based clustering to more straightforward hard clustering methods. The clustering model is based on a multilevel functional principal component analysis. In a simulation study, we assess the estimation accuracy of our clustering algorithm under a series of settings: small vs. moderate number of time points, high noise level and small number of measurement types. We demonstrate the applicability of the clustering analysis to a real data set consisting of time-varying sales for multiple products sold by a large retailer in the U.S. My ongoing research work in multilevel functional data analysis is developing a statistical model for estimating temporal and spatial associations of a series of time-varying variables with an intrinsic nested hierarchical structure. This work has a great potential in many real applications where the data are areal data collected from different data sources and over geographic regions of different spatial resolution.
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45

Kaya, Mahir. "E-cosmic: A Business Process Model Based Functional Size Estimation Approach." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12611538/index.pdf.

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The cost and effort estimation of projects depend on software size. A software product size is needed at as early a phase of the project as possible. Conventional Early Functional Size Estimation methods generate size at the early phase but result in subjectivity and unrepeatability due to manual calculation. On the other hand, automated Functional Size Measurement calculation approaches require constructs which are available in considerably late software development phases. In this study we developed an approach called e-Cosmic to calculate and automate the functional size measurement based on the business processes. Functions and input and output relationship types of each function are identified in the business process model. The size of each relationship type is determined by assigning appropriate data movements based on the COSMIC Measurement Manual. Then, relationship type size is aggregated to produce the size of each function. The size of the software product is the sum of the size of these functions. Automation of this process based on business process model is performed by developing a script in the ARIS tool concept. Three case studies were conducted to validate the proposed functional size estimation method (e-Cosmic). The size of the products in the case studies are measured manually with COSMIC FSM (Abran et al, 2007) as well as using a conventional early estimation method, called Early and Quick COSMIC FFP. We compared the results of different approaches and discussed the usability of e-Cosmic based on the findings.
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46

Shahinian, Sarkis Serge. "Biophysical and functional properties of lipid-modified proteins and model lipopeptides." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=40439.

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Three related studies were carried out to understand better the physical properties, cellular function, and means to prepare artificially proteins 'anchored' to membranes by two hydrophobic chains.
The first study entailed the development of efficient methodologies to conjugate antibody Fab$ sp prime$ fragments to suitable lipid 'anchors' in liposomes, to allow for the targeted delivery of liposome-associated materials to cells expressing the appropriate cell surface determinant. To monitor the production of Fab$ sp prime$ fragments bearing reactive thiol groups, we developed a maleimide-polyethylene glycol (PEG) conjugate 'thiol reagent' for use in an SDS-PAGE mobility shift assay. Optimizing conditions for Fab$ sp prime$ preparation developed by this approach, we achieved efficient and reproducible coupling of Fab$ sp prime$ fragments to liposomes via a novel lipid 'anchor'. Such Fab$ sp prime$-'targeted' liposomes efficiently delivered encapsulated materials to cultured cells in vitro.
The second study used lipid-modified peptides to investigate the strength of membrane anchoring conferred by dual lipid modifications of the types attached to various intracellular proteins. Based on kinetic measurements of interbilayer transfer of such peptides and peptide-macromolecule conjugates, we suggest that doubly-modified proteins exhibit extremely slow rates of spontaneous intermembrane transfer. We have proposed mechanisms by which this property of 'dual-anchored' proteins may be exploited to achieve efficient subcellular targeting by 'trapping' mechanisms.
The third study sought to assess current models of the mechanism of preferential localization of glycosylphosphatidylinositol (GPI)-proteins to specialized plasma membrane invaginations known as caveolae. This was accomplished using cell membrane-incorporated lipid-PEG-biotin-streptavidin conjugates, whose lateral distribution under various conditions ($ pm$ crosslinking) shows significant overlap with that of endogenous GPI-proteins. We propose a novel mechanistic model based on 'surface-crowding' effects, for the preferential association of lipid-anchored molecules with caveolae, particularly upon crosslinking.
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47

Heine, George F. "Functional analysis of P1, a model R2R3 MYB domain transcription factor." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1148487881.

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48

Alm, Helen. "Duk i buk : Functional Resonance Accident Model i en vårdrelaterad kontext." Thesis, Linköping University, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15605.

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Ett stort antal människor dör på grund av skador som de fått inom vården och som hade kunnat förebyggas. Det finns siffror som pekar på att dessa vårdskador överskrider antalet döda i trafiken. Vid Östergötlands landsting finns sedan år 2005 en fast enhet som arbetar med patientsäkerhet. En av deras uppgifter är att, tillsammans med berörd verksamhet, utföra händelseanalyser inför anmälningar av Lex Maria-fall. Den analysmetod som används av patientsäkerhetsenheten är uppbyggd på en epidemiologisk olycksmodell.

Syftet med denna studie har varit att använda analysmetoden FRAM (Functional Resonance Accident Model), som är en systemisk analysmetod utarbetad av Erik Hollnagel, i en vårdrelaterad kontext, någonting som inte har gjorts tidigare. FRAM har applicerats på en händelse under en operation då material glömdes kvar i patientens buk. Samtidigt har patientsäkerhetsenheten analyserat samma händelse med sin metod. En jämförelse mellan de två olika analysmetodernas slutsatser har gjorts.

För insamling av information om arbetet i operationssal har en triangulering av observation, intervjuer med sakkunniga och genomgång av viss dokumentation genomförts. De personer som varit inblandade i den aktuella händelsen har intervjuats av patientsäkerhetsenhetens analysteam. När de båda analyserna var genomförda ordnades en fokusgrupp med diskussion kring analysmetoder.

Studien har visat att FRAM kan vara lämplig för tillämpning på vårdskador. Det finns fördelar med en systemisk analysmetod som FRAM då den i större utsträckning speglar den omfattande komplexitet som, i detta fall, en operationssal och dess omgivning består av. Detta medför dock att analysprocessen blir mer omfattande och krävande. I dagsläget används landstingets analysmetod av ett stort antal människor efter en relativt kort utbildning, vilket skulle vara svårt att genomföra med FRAM. Det är även tydligt att mer forskning behövs då FRAM är en relativt ny analysmetod under utveckling.

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49

Worby, Julian. "A Functional gene-protein model for use in simulations of evolution." Thesis, University of Sussex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507140.

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50

Philp, Lynnsie. "Functional anatomy of gabapentin binding in a model of peripheral neuropathy." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620227.

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