Дисертації з теми "Data-driven experiments"
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Cedeno, Vanessa Ines. "Pipelines for Computational Social Science Experiments and Model Building." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/91445.
Повний текст джерелаDoctor of Philosophy
To understand individual and collective behavior, there has been significant interest in using online systems to carry out social science experiments. Considerable work is required for analyzing the data and to uncover interesting insights. In this dissertation, we design and build automated software pipelines for evaluating social phenomena through iterative experiments and modeling. To reason about experiments and models, we design a formal data model. This combined approach of experiments and models has been done in some studies without automation, or purely conceptually. We are motivated by a particular social behavior, namely collective identity (CI). Group or CI is an individual’s cognitive, moral, and emotional connection with a broader community, category, practice, or institution. Extensive experimental research shows that CI influences human decision-making, so there is interest in modeling situations that promote the creation of CI to learn more from the process and to predict human behavior in real life situations. One of our goals in this dissertation is to understand whether a cooperative anagram game can produce CI within a group. With all of the experimental work on anagrams games, it is surprising that very little work has been done in modeling these games. In addition, to identify best explanations for phenomena we use abduction. Abduction is an inference approach that uses data and observations. Abduction has broad application in robotics, genetics, automated systems, and image understanding, but have largely been devoid of human behavior. In a group anagrams web-based networked game setting we do the following. We use these pipelines to understand intra-group cooperation and its effect on fostering CI. We devise and execute an iterative abductive analysis process that is driven by the social sciences. We build and evaluate three agent-based models (ABMs). We analyze experimental data and develop models of human reasoning to predict detailed game player action. We claim our models can explain behavior and provide novel experimental insights into CI, because there is agreement between the model predictions and the experimental data.
Merikle, Elizabeth Paige 1965. "Facilitation of performance on a picture fragment completion test: Data-driven potentiation in perception." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/277941.
Повний текст джерелаOskarsdottir, Eyglo Myrra. "Towards a Data-Driven Pricing Decision With the Help of A/B Testing." Thesis, KTH, Nationalekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199224.
Повний текст джерелаEmerton, Guy. "Data-driven methods for exploratory analysis in chemometrics and scientific experimentation." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86366.
Повний текст джерелаENGLISH ABSTRACT: Background New methods to facilitate exploratory analysis in scientific data are in high demand. There is an abundance of available data used only for confirmatory analysis from which new hypotheses can be drawn. To this end, two new exploratory techniques are developed: one for chemometrics and another for visualisation of fundamental scientific experiments. The former transforms large-scale multiple raw HPLC/UV-vis data into a conserved set of putative features - something not often attempted outside of Mass-Spectrometry. The latter method ('StatNet'), applies network techniques to the results of designed experiments to gain new perspective on variable relations. Results The resultant data format from un-targeted chemometric processing was amenable to both chemical and statistical analysis. It proved to have integrity when machine-learning techniques were applied to infer attributes of the experimental set-up. The visualisation techniques were equally successful in generating hypotheses, and were easily extendible to three different types of experimental results. Conclusion The overall aim was to create useful tools for hypothesis generation in a variety of data. This has been largely reached through a combination of novel and existing techniques. It is hoped that the methods here presented are further applied and developed.
AFRIKAANSE OPSOMMING: Agtergrond Nuwe metodes om ondersoekende ontleding in wetenskaplike data te fasiliteer is in groot aanvraag. Daar is 'n oorvloed van beskikbaar data wat slegs gebruik word vir bevestigende ontleding waaruit nuwe hipoteses opgestel kan word. Vir hierdie doel, word twee nuwe ondersoekende tegnieke ontwikkel: een vir chemometrie en 'n ander vir die visualisering van fundamentele wetenskaplike eksperimente. Die eersgenoemde transformeer grootskaalse veelvoudige rou HPLC / UV-vis data in 'n bewaarde stel putatiewe funksies - iets wat nie gereeld buite Massaspektrometrie aangepak word nie. Die laasgenoemde metode ('StatNet') pas netwerktegnieke tot die resultate van ontwerpte eksperimente toe om sodoende ân nuwe perspektief op veranderlike verhoudings te verkry. Resultate Die gevolglike data formaat van die ongeteikende chemometriese verwerking was in 'n formaat wat vatbaar is vir beide chemiese en statistiese analise. Daar is bewys dat dit integriteit gehad het wanneer masjienleertegnieke toegepas is om eienskappe van die eksperimentele opstelling af te lei. Die visualiseringtegnieke was ewe suksesvol in die generering van hipoteses, en ook maklik uitbreibaar na drie verskillende tipes eksperimentele resultate. Samevatting Die hoofdoel was om nuttige middele vir hipotese generasie in 'n verskeidenheid van data te skep. Dit is grootliks bereik deur 'n kombinasie van oorspronklike en bestaande tegnieke. Hopelik sal die metodes wat hier aangebied is verder toegepas en ontwikkel word.
Kalibjian, J. R. "A Packet Based, Data Driven Telemetry System for Autonomous Experimental Sub-Orbital Spacecraft." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/608857.
Повний текст джерелаA data driven telemetry system is described that responds to the rapid nature in which experimental satellite telemetry content is changed during the development process. It also meets the needs of a diverse experiment in which the many phases of a mission may contain radically different types of telemetry data. The system emphasizes mechanisms for achieving high redundancy of critical data. A practical example of such an implementation, Brilliant Pebbles Flight Experiment Three (FE-3), is cited.
Zhao, He Sokhansanj Bahrad. "Systematic data-driven modeling of cellular systems for experimental design and hypothesis evaluation /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3133.
Повний текст джерелаGuerrero, Ludueña Richard E. "Data Driven Approach to Enhancing Efficiency and Value in Healthcare." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/456670.
Повний текст джерелаLa asistencia sanitaria está cambiando y la era de las organizaciones sanitarias basadas en datos es cada vez más popular. Los enfoques basados en datos (por ejemplo, Aprendizaje Automático; Meta-heurísticas; Modelamiento y Simulación; y Análisis y Visualización de datos) pueden utilizarse para aumentar la eficiencia y el valor en los servicios sanitarios. A pesar de la amplia investigación y el desarrollo tecnológico, la evidencia sobre el impacto de estas metodologías en el sector sanitario es limitada. En esta tesis argumentamos que un enfoque sin fronteras en términos de sociedades académicas y campo de estudio podría ayudar a abordar esta falta de impacto para aumentar la eficiencia y el valor en la asistencia sanitaria. Esta tesis se basa en la resolución de problemas prácticos en el sector sanitario, con un enfoque tanto teórico como práctico. La investigación se organizó en cuatro etapas. En la primera, una variedad de técnicas de modelamiento y simulación fueron estudiadas y aplicadas en el análisis y simulación de mejores y más eficientes configuraciones de sistemas sanitarios. El objetivo fue un análisis de capacidad, demanda, actividad y listas de esperas a nivel hospitalario y poblacional. En la segunda parte, un Algoritmo Genético fue implementado para resolver un problema de ruteo de personal sanitario encargado de atención de salud en el hogar. En la tercera parte, Análisis de Redes Sociales fue utilizado para visualizar y analizar una red de usuarios de correos electrónicos. En la etapa final, se propone una nueva métrica para evaluar el rendimiento de sistemas sanitarios, la cual fue implementada a través de un caso de estudio. Diferentes marcos de referencia para la implementación de estas metodologías en problemas reales se presentan a lo largo de la tesis.
Deshpande, Shubhangi. "Data Driven Surrogate Based Optimization in the Problem Solving Environment WBCSim." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/35901.
Повний текст джерелаMaster of Science
Jha, Rajesh. "Combined Computational-Experimental Design of High-Temperature, High-Intensity Permanent Magnetic Alloys with Minimal Addition of Rare-Earth Elements." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2621.
Повний текст джерелаMarín, de Mas Igor Bartolomé. "Development and application of novel model-driven and data-driven approaches to study metabolism in the framework of systems medicine." Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/296313.
Повний текст джерелаLa presente tesis doctoral se centra en el desarrollo de herramientas computacionales que permitan el estudio de los mecanismos moleculares que ocurren dentro de la célula. Mas específicamente estudia el metabolismo celular desde diferentes puntos de vista usando y desarrollando métodos computacionales basados en diversas metodologías. Así pues en un primer capitulo se desarrolla un método basado en el analista de los flujos metabólicos en estado no estacional isotópico utilizando modelos cinéticos para estudiar el fenómeno de la canalización metabólica en hepatocitos. Este fenómeno modifica la topología metabólica alterando el fenotipo. Nuestro método nos permitió discriminar varios modelos con distintas topología prediciendo la existencia de canalización metabólica en la glucólisis. En el segundo capitulo se desarrolló un método para analizar el metabolismo tumoral teniendo en cuenta la heterogeneidad de poblaciones. En concreto estudiamos dos subpoblaciones extraídas de una linea celular de cáncer de próstata. Para ello utilizamos un modelo a gran escala de todo el metabolismo celular humano. El análisis reflejó la existencia de diferencias notables a nivel de vías metabólicas concretas, confiriendo a cada subpoblacion sensibilidades distintas a diferentes fármacos. En esta linea se demostró que mientras las células PC-3M eran sensibles al etomoxir e insensibles al calcitriol, las PC-3S presentaban una sensibilidad opuesta. En el tercero y ultimo capitulo de la tesis desarrollamos un nuevo método computacional que integra aproximaciones probabilísticas y mecanicistas para integrar diferentes tipos de datos en un análisis basado en modelos discretos. Para ello utilizamos como caso de concepto el estudio de la adaptación anómala al entrenamiento de pacientes con EPOC. El análisis reveló diferencias importantes a nivel de metabolismo energético en comparación con el grupo control.
Nainer, Carlo. "In-Orbit Data Driven Parameter Estimation for Attitude Control of Satellites." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0058.
Повний текст джерелаThe system identification for satellite attitude control is investigated in this thesis. Several parameter estimation algorithms are developed and adapted to the different types of sensor (gyroscope or star tracker). These algorithms allow to estimate, from the telemetry data, the satellite inertia matrix as well as the actuator alignments. For these estimation algorithms, an instrumental variable approach is considered. Filters are designed in order to significantly improve the accuracy and precision of the estimates, even in presence of sensor noise and disturbance torques. The performances of the proposed algorithms are analyzed and validated via Monte Carlo simulations using data from a high-fidelity simulator from CNES. The second main contribution concerns the optimization of maneuvers to improve the information content in the data, while respecting the physical constraints of the satellite. The effectiveness of the generated trajectory is evaluated both via Monte Carlo simulations and through real experiments in a zero-gravity environment
Ganatra, Nirmal Kirtikumar. "Validation of computer-generated results with experimental data obtained for torsional vibration of synchronous motor-driven turbomachinery." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/499.
Повний текст джерелаJiang, Zhuoying. "Smart Photocatalytic Building Materials for Autogenous Improvement of Indoor Environment: Experimental, Physics-Based, and Data-Driven Modeling Approaches." Case Western Reserve University School of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1626277456472492.
Повний текст джерелаJenson, Justin Michael. "Design of selective peptide inhibitors of anti-apoptotic Bfl-1 using experimental screening, structure-based design, and data-driven modeling." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120631.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references.
Protein-protein interactions are central to all biological processes. Designer reagents that selectively bind to proteins and inhibit their interactions can be used to probe protein interaction networks, discover druggable targets, and generate potential therapeutic leads. Current technology makes it possible to engineer proteins and peptides with desirable interaction profiles using carefully selected sets of experiments that are customized for each design objective. There is great interest in improving the protein design pipeline to create protein binders more efficiently and against a wider array of targets. In this thesis, I describe the design and development of selective peptide inhibitors of anti-apoptotic BcI-2 family proteins, with an emphasis on targeting Bfl-1. Anti-apoptotic Bcl-2 family proteins bind to short, pro-apoptotic BH3 motifs to support cellular survival. Overexpression of BfI-1 has been shown to promote cancer cell survival and the development of chemoresistance. Prior work suggests that selective inhibition of Bfl-1 can induce cell death in Bfl-1 overexpressing cancer cells without compromising healthy cells that also rely on anti-apoptotic BcI-2 proteins for survival. Thus, Bfl-1-selective BH3 mimetic peptides are potentially valuable for diagnosing Bfl-1 dependence and can serve as leads for therapeutic development. In this thesis, I describe three distinct approaches to designing potent and selective Bfl-1 inhibitors. First, I describe the design and screening of libraries of variants of BH3 peptides. I show that peptides from this screen bind in a previously unobserved BH3 binding mode and have large margins of specificity for Bfl-1 when tested in vitro and in cultured cells. Second, I describe a computational model of the specificity landscape of three anti-apoptotic Bcl-2 proteins including Bfl-1. This model was derived from high-throughput affinity measurement of thousands of peptides from BH3 libraries. I show that this model is useful for designing peptides with desirable interaction profiles within a family of related proteins. Third, I describe the use of a scoring potential built on the amino acid frequencies from well-defined structural motifs complied from the Protein Data Bank to design novel BH3 peptides targeting Bfl-1.
by Justin Michael Jenson.
Ph. D.
Darwish, Rabab. "The role of decision-driven data collection on Northwest Ohio Local Education Agencies' intervention for first-time-in-college students' post-secondary outcomes: A quasi-experimental evaluation of the PK-16 Pathways of Promise (P³) Project." Bowling Green State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1616543639316973.
Повний текст джерелаZeman, Martin. "Measurement of the Standard Model W⁺W⁻ production cross-section using the ATLAS experiment on the LHC." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112263/document.
Повний текст джерелаMeasurements of di-boson production cross-sections are an important part of the physics programme at the CERN Large Hadron Collider. These physics analyses provide the opportunity to probe the electroweak sector of the Standard Model at the TeV scale and could also indicate the existence of new particles or probe beyond the Standard Model physics. The excellent performance of the LHC through years 2011 and 2012 allowed for very competitive measurements. This thesis provides a comprehensive overview of the experimental considerations and methods used in the measurement of the W⁺W⁻ production cross-section in proton-proton collisions at √s = 7 TeV and 8 TeV. The treatise covers the material in great detail, starting with the introduction of the theoretical framework of the Standard Model and follows with an extensive discussion of the methods implemented in recording and reconstructing physics events in an experiment of this magnitude. The associated online and offline software tools are included in the discussion. The relevant experiments are covered, including a very detailed section about the ATLAS detector. The final chapter of this thesis contains a detailed description of the analysis of the W-pair production in the leptonic decay channels using the datasets recorded by the ATLAS experiment during 2011 and 2012 (Run I). The analyses use 4.60 fb⁻¹ recorded at √s = 7 TeV and 20.28 fb⁻¹ recorded at 8 TeV. The experimentally measured cross section for the production of W bosons at the ATLAS experiment is consistently enhanced compared to the predictions of the Standard Model at centre-of-mass energies of 7 TeV and 8 TeV. The thesis concludes with the presentation of differential cross-section measurement results
Svoboda, Josef. "Monitoring a simulace chování experimentálních terčů pro ADS, vývinu tepla a úniku neutronů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-446741.
Повний текст джерелаDahlfors, Marcus. "Studies of Accelerator-Driven Systems for Transmutation of Nuclear Waste." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Universitetsbiblioteket [distributör], 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6341.
Повний текст джерелаGstalter, Étienne. "Réduction d’ordre de modèle de crash automobile pour l’optimisation masse / prestations." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2576.
Повний текст джерелаThis thesis is a part of a global research work dedicated to reduced-order modelling applications in the Renault engineering direction. It's research topic has been improved in the IRT System)('s project on Reduced Order Model and Multi-disciplinary Optimization. Some previous thesis can help understand the context. ([Vuong], [Charrier]). The main industrial application of the research theme is the focus on a body structure, in a crash loading. Some research works on acoustic, combustion and aerodynamic are currently ongoing. This thesis is both a contribution to the generic ReCUR method, and its application to a car body structure optimization for crash loadings. Engineering teams at Renault uses optimization to obtain the best crash simulation, with a numerical optimization software, based on designs of experiments. It requires a lot of crash simulation because each simulation is considered as unique, with only one response for each parameter. Only Inputs and Outputs are known. The ReCUR method consider that each simulation is a huge mine that needs our attention. We hope that we can decrease the number of crash simulation required to compute a model, by using much more data for each simulation
Valente, Paulo Francisco Constantino. "Data-driven quality by design for complex generic drug products." Master's thesis, 2019. http://hdl.handle.net/10316/88014.
Повний текст джерелаA indústria farmacêutica é uma das atividades mais inovadoras e regulamentadas, sendo a distribuição dos componentes terapêuticos no corpo humano, com a qualidade desejada, um dos grandes focos da investigação nesta área. Para garantir que a qualidade final dos medicamentos seja uma preocupação em todas as etapas do seu desenvolvimento, as entidades reguladoras têm incentivado as empresas a adotarem princípios de qualidade pelo design, o que promove mais conhecimento sobre o processo e permite reduzir os recursos necessários, o que, em última instância, torna os cuidados de saúde mais acessíveis para todos. Neste trabalho, são analisados dados experimentais do processo de fabrico de um medicamento genérico complexo, a ser atualmente desenvolvido pela Bluepharma - Indústria Farmacêutica. Estes produtos são conhecidos por implicarem um esforço adicional, pois o seu desenvolvimento envolve tarefas mais complicadas do que os medicamentos convencionais. Além disso, neste problema, pretende-se que seis respostas diferentes, discretas e contínuas, sejam otimizadas simultaneamente. Um novo método para identificar efeitos ativos em experiências de triagem é proposto, envolvendo o uso de regressão passo-a-passo com a implementação de hereditariedade de efeitos, modelos lineares generalizados e validação através do critério de informação de Akaike corrigido. Esta abordagem é mais simples do que as sugeridas na literatura com objectivos semelhantes e apresenta resultados muito melhores do que as técnicas padrão utilizadas normalmente na indústria farmacêutica. Além disso, alguns outros procedimentos são realizados para extrair informações importantes dos dados disponíveis, como o estudo dos melhores níveis de cada fator para cada resposta, otimização de várias respostas simultaneamente, análise dos fatores não controlados e a criação de modelos preditivos. A combinação de todos estes métodos permite uma maior compreensão do processo de desenvolvimento e fornece novas técnicas auxiliares, ajudando a atingir as caraterísticas pretendidas do produto muito mais eficientemente.
The pharmaceutical industry is one of the most innovative and regulated activities, and the delivery of the therapeutic components with the desired quality is one of the biggest concerns in pharma R\&D. In order to ensure that the final quality of the drug products is a focus in all stages of the development, the regulatory agencies have encouraged the companies to adopt quality by design principles, which promotes more knowledge about the process and allows to reduce the required resources, and ultimately to make the healthcare more affordable for everyone. In this work, it is analyzed the experimental data of the production process of a complex generic drug, being currently developed by Bluepharma - Indústria Farmacêutica. These products are known for implying an additional effort as their development comprises harder tasks compared to conventional drugs. Besides, in this problem, six different responses, both discrete and continuous ones, are expected to be simultaneously optimized. A new method to identify active effects in screening experiments is proposed, involving the use of stepwise regression with the enforcement of effects heredity, generalized linear models and corrected Akaike information criterion validation. This approach is simpler than the same-purpose ones suggested in the literature and it was found to perform much better than the standard techniques executed usually in the pharmaceutical industry.Besides, some other procedures are considered to retrieve important information from the available data, such as the study of the best levels of each factor for each response, optimization of multiple responses simultaneously, analysis of non-controlled factors, and creation of predictive models. The combination of all these methods provides a better understanding of the development process and make available new auxiliary techniques, aiding to achieve the targets much more efficiently.
Hülsmann, Mailin. "Intelligent doctor patient matching: how José Mello saude experiments towards data-driven and patient-centric decision making." Master's thesis, 2018. http://hdl.handle.net/10362/52482.
Повний текст джерелаFallin, Patrick Timothy. "Design of an engineering experiment and data driven design in secondary education." 2013. http://hdl.handle.net/2152/22717.
Повний текст джерелаtext
Ganatra, Nirmal Kirtikumar. "Validation of computer-generated results with experimental data obtained for torsional vibration of synchronous motor-driven turbomachinery." 2003. http://hdl.handle.net/1969/499.
Повний текст джерела