Automating Mechanical FMEA Using Functional Models

Hughes, N., Chou E., Price, C. J. Lee M. H.(1999). Automating Mechanical FMEA Using Functional Models, Proceedings 12th Int. Florida AI Research Soc. Conf. (FLAIRS-99), AAAI Press, May 1999, pp. 394-398.

Information integration: generating functional models from structural ones

Information integration is a very important topic. Reusing the knowledge and having common representations have been (and it is) an active research topic in the process systems community. Conventional (structural) But only structural models have been dealt with so far. In this paper the issue of integration is related with two types of different knowledge, functional and structural. Functional representation and analysis have proved very useful, but still it is developed and presented in a completely isolated way from the classic structural description of the process. This paper presents an architecture to integrate both representations.

Information integration: from P&I diagrams to functional models

Information integration is a very important topic. Reusing the knowledge and having common and exchangeable representations have been an active research topic in process systems engineering. In this paper we deal with information integration in two different ways, the first one sharing knowledge between different heterogeneous applications and the second one integrating two different (but complementary) types of knowledge: functional and structural. A new architecture to integrate these representation and use for several purposes is presented in this paper.

Potapov-Ginsburg Transformation and Functional Models of Non-Dissipative Operators

2000 Mathematics Subject Classification: Primary 47A20, 47A45; Secondary 47A48.

THE NATURAL AND ORTHOGONAL INTERACTION (NOIA) MODELS FOR QUANTITATIVE TRAITS (QTs) AND COMPLEX DISEASES

My dissertation focuses on developing methods for gene-gene/environment interactions and imprinting effect detections for human complex diseases and quantitative traits. It includes three sections: (1) generalizing the Natural and Orthogonal interaction (NOIA) model for the coding technique originally developed for gene-gene (GxG) interaction and also to reduced models; (2) developing a novel statistical approach that allows for modeling gene-environment (GxE) interactions influencing disease risk, and (3) developing a statistical approach for modeling genetic variants displaying parent-of-origin effects (POEs), such as imprinting. In the past decade, genetic researchers have identified a large number of causal variants for human genetic diseases and traits by single-locus analysis, and interaction has now become a hot topic in the effort to search for the complex network between multiple genes or environmental exposures contributing to the outcome. Epistasis, also known as gene-gene interaction is the departure from additive genetic effects from several genes to a trait, which means that the same alleles of one gene could display different genetic effects under different genetic backgrounds. In this study, we propose to implement the NOIA model for association studies along with interaction for human complex traits and diseases. We compare the performance of the new statistical models we developed and the usual functional model by both simulation study and real data analysis. Both simulation and real data analysis revealed higher power of the NOIA GxG interaction model for detecting both main genetic effects and interaction effects. Through application on a melanoma dataset, we confirmed the previously identified significant regions for melanoma risk at 15q13.1, 16q24.3 and 9p21.3. We also identified potential interactions with these significant regions that contribute to melanoma risk. Based on the NOIA model, we developed a novel statistical approach that allows us to model effects from a genetic factor and binary environmental exposure that are jointly influencing disease risk. Both simulation and real data analyses revealed higher power of the NOIA model for detecting both main genetic effects and interaction effects for both quantitative and binary traits. We also found that estimates of the parameters from logistic regression for binary traits are no longer statistically uncorrelated under the alternative model when there is an association. Applying our novel approach to a lung cancer dataset, we confirmed four SNPs in 5p15 and 15q25 region to be significantly associated with lung cancer risk in Caucasians population: rs2736100, rs402710, rs16969968 and rs8034191. We also validated that rs16969968 and rs8034191 in 15q25 region are significantly interacting with smoking in Caucasian population. Our approach identified the potential interactions of SNP rs2256543 in 6p21 with smoking on contributing to lung cancer risk. Genetic imprinting is the most well-known cause for parent-of-origin effect (POE) whereby a gene is differentially expressed depending on the parental origin of the same alleles. Genetic imprinting affects several human disorders, including diabetes, breast cancer, alcoholism, and obesity. This phenomenon has been shown to be important for normal embryonic development in mammals. Traditional association approaches ignore this important genetic phenomenon. In this study, we propose a NOIA framework for a single locus association study that estimates both main allelic effects and POEs. We develop statistical (Stat-POE) and functional (Func-POE) models, and demonstrate conditions for orthogonality of the Stat-POE model. We conducted simulations for both quantitative and qualitative traits to evaluate the performance of the statistical and functional models with different levels of POEs. Our results showed that the newly proposed Stat-POE model, which ensures orthogonality of variance components if Hardy-Weinberg Equilibrium (HWE) or equal minor and major allele frequencies is satisfied, had greater power for detecting the main allelic additive effect than a Func-POE model, which codes according to allelic substitutions, for both quantitative and qualitative traits. The power for detecting the POE was the same for the Stat-POE and Func-POE models under HWE for quantitative traits.

Accelerating multi-core simulators

Simulation is an important means of evaluating new microarchitectures. With the invention of multi-core (CMP) platforms, simulators are becoming larger and more complex. However, with the availability of CMPs with larger caches and higher operating frequency, the wall clock time required for simulating an application has become comparatively shorter. Reducing this simulation time further is a great challenge, especially in the case of multi-threaded workload due to indeterminacy introduced due to simultaneously executing various threads. In this paper, we propose a technique for speeding multi-core simulation. The model of the processor core and cache are replaced with functional models, to achieve speedup. A timed Petri net model is used to estimate the execution time of the processor and the memory access latencies are estimated using hit/miss information obtained from the functional model of the cache. This model can be used to predict performance of data parallel applications or multiprogramming workload on CMP platform with various cache hierarchies and shared bus interconnect. The error in estimation of the execution time of an application is within 6%. The speedup achieved ranges between an average of 2x--4x over the cycle accurate simulator.

Active reservoir management: a model solution

Steady-state procedures, of their very nature, cannot deal with dynamic situations. Statistical models require extensive calibration, and predictions often have to be made for environmental conditions which are often outside the original calibration conditions. In addition, the calibration requirement makes them difficult to transfer to other lakes. To date, no computer programs have been developed which will successfully predict changes in species of algae. The obvious solution to these limitations is to apply our limnological knowledge to the problem and develop functional models, so reducing the requirement for such rigorous calibration. Reynolds has proposed a model, based on fundamental principles of algal response to environmental events, which has successfully recreated the maximum observed biomass, the timing of events and a fair simulation of the species succession in several lakes. A forerunner of this model was developed jointly with Welsh Water under contract to Messrs. Wallace Evans and Partners, for use in the Cardiff Bay Barrage study. In this paper the authors test a much developed form of this original model against a more complex data-set and, using a simple example, show how it can be applied as an aid in the choice of management strategy for the reduction of problems caused by eutrophication. Some further developments of the model are indicated.

Interações competitivas entre Epizoanthus gabrieli Carlgreen, 1951 (Ordem Zoanthidea) e corais na Baía de Todos os Santos e suas implicações para a comunidade recifal.

Alguns recifes de coral da Baía de Todos os Santos passaram a ser dominado pelo zoantídeo Epizoanthus gabrieli em 2003. Fenômeno resultante da degradação dos recife de coral que atinge 20% desses ecossistemas e ameaça outros 35% no mundo. Apesar de sua importância, apenas a mudança na comunidade para o domínio de macroalgas foi suficientemente estudado. Assim, torna-se urgente estudos sobres alterações envolvendo a dominância de outros organismos. Estes fornecem subsídios para produção de modelos funcionais que podem ajudar na tomada de decisão para o manejo destes ecossistemas tanto na prevenção destas alterações quanto na recuperação de suas comunidades. Os objetivos deste trabalho são (i) verificar se este fenômeno constitui uma mudança de fase, a partir da redução da abundância de corais e persistência da alta cobertura de E. gabrieli por pelo menos cinco anos, (ii) avaliar os efeitos da competição entre este zoantídeo e corais adultos e recrutas com experimentos manipulativos e (iii) investigar os efeitos desta dominância na assembleia de peixes recifais. Os resultados confirmaram a existência de uma mudança de fase, sugerindo que a abundância de E. gabrieli aumentou em 2003 ou antes e que até 2007 houve uma redução da cobertura de coral, condição que se mantêm pelo menos até 2013. As três espécies de corais testadas mostram-se muito sensíveis ao contato com E. gabrieli, com necrose em 78% das colônias e ocupação do esqueleto dos corais em 35% dos casos em um período de 118 dias. Além disso, um modelo feito a partir dos dados de proporção de colônias de corais em contato com este zoantídeo e a cobertura de E. gabrieli sugere que quando o zoantídeo atinge 6% de cobertura, 50% das colônias de corais entram em contato com o mesmo. Estes dados são fortes evidências de que a redução da cobertura de coral observada entre 2003 e 2007 foi causada por competição entre estes organismos. Não foi observado efeito negativo no recrutamento do coral em substrato artificial livre em recifes dominados por E. gabrieli, nem nas proximidades das suas colônias. Isso sugere que uma suposta redução da cobertura deste zoantídeo deve ser acompanhada pelo aumento da taxa de recrutamento de corais e que a competição com a inibição do recrutamento não suporta um efeito de histerese. Foi constatado que esta mudança de fase reduz a riqueza de espécies de peixes recifais, apresentando dez espécies a menos que os recifes normais, e que favorecem os invertívoros moveis em detrimento dos carnívoros e invertívoros sésseis. Contudo não se observou diferença na abundância de peixes.

Optimal design of Functionally Graded Materials using a procedural model and Particle Swarm Optimization

A new method for the optimal design of Functionally Graded Materials (FGM) is proposed in this paper. Instead of using the widely used explicit functional models, a feature tree based procedural model is proposed to represent generic material heterogeneities. A procedural model of this sort allows more than one explicit function to be incorporated to describe versatile material gradations and the material composition at a given location is no longer computed by simple evaluation of an analytic function, but obtained by execution of customizable procedures. This enables generic and diverse types of material variations to be represented, and most importantly, by a reasonably small number of design variables. The descriptive flexibility in the material heterogeneity formulation as well as the low dimensionality of the design vectors help facilitate the optimal design of functionally graded materials. Using the nature-inspired Particle Swarm Optimization (PSO) method, functionally graded materials with generic distributions can be efficiently optimized. We demonstrate, for the first time, that a PSO based optimizer outperforms classical mathematical programming based methods, such as active set and trust region algorithms, in the optimal design of functionally graded materials. The underlying reason for this performance boost is also elucidated with the help of benchmarked examples. © 2011 Elsevier Ltd. All rights reserved.

Theoretical studies on the reaction mechanism of oxidation of primary alcohols by Zn/Cu(II)-phenoxyl radical catalyst

The catalytic mechanism for the oxidation of primary alcohols catalyzed by the two functional models of galactose oxidase (GOase), M-II L (M = Cu, Zn; L = N,N'-bis(3,5-di-tert-butyl-2-hydroxyphenyl)1-2-diiminoquinone)), has been studied by use of the density functional method B3LYP The catalytic cycle of Cu- and Zn-catalysts consists of two parts, namely, substrate oxidation (primary alcohol oxidation) and O-2 reduction (catalyst regeneration). The catalytic mechanisms have been studied for the two reaction pathways (route 1 and route 2). The calculations indicate that the hydrogen atom transfer within the substrate oxidation part is the rate-determining step for both catalysts, in agreement with the experimental observation.

Aplicación de un modelo de negocios para la generación de un centro de excelencia en el manejo neuroquirúrgico del neurotrauma de columna

La necesidad que presenta la población hacia servicios especializados de salud que brinden una atención oportuna, eficaz y de alta calidad, con el fin de disminuir problemáticas que van desde la limitación en la actividad hasta discapacidad del paciente, conllevó a la creación del proyecto Ciudad Salud, el cual busca la instauración de clúster de salud de alta complejidad en la ciudad de Bogotá, para establecerse como la mejor oferta en salud a nivel nacional e internacional. Dentro del proyecto se encuentra el Hospital Universitario de la Samaritana, el cual participa con la especialidad de Neurotrauma de Columna, basado en esta especialidad se realiza la presente investigación, con el fin de Proponer que este Centro de Excelencia opere bajo un modelo de negocios acorde con la filosofía institucional, para dar al hospital un valor agregado y diferenciador que le permita ser competitivo en la prestación de servicios de salud. Para el desarrollo de la investigación se crean tres sesiones de grupos focales con la participación en total de 19 personas que trabajan en la Institución, los cuales generan consenso en la instauración de los 9 ítems según el modelo Canvas; por otro lado, se logra el planteamiento de los componentes estructurales y funcionales necesarios para el desempeño del mismo. Así mismo se realizó una planeación estratégica basada en el análisis DOFA, proponiendo un plan estratégico basado en el ciclo PHVA.

Catecholase and DNase activities of copper(II) complexes containing phenolate-type ligands

Three new homodinuclear complexes containing substituted phenolate-type ligands based on the N(5)O(2) donor (2-(N,N-Bis(2-pyridylmethyl)aminomethyl)-6-(N`,N`-(2-hydroxybenzyl)(2-pyridylmethyl))aminomethyl)-4-methylphenol (H(2)L-H) were synthesized and characterized by X-ray crystallography. Potentiometric titration studies in 70% (v/v) aqueous ethanol show that all three complexes exhibit a common {Cu(II)(mu-phenoxo)(mu-OH)Cu(II)(OH)} core in solution. Kinetic studies on the oxidation reaction of 3,5-di-tert-butylcatechol revealed that the catalytic activity of the metal complexes increases toward the ligand containing an electron-donating group. In addition, these complexes also carried out DNA cleavage by hydrolytic and oxidative pathways. Copyright (C) 2010 John Wiley & Sons, Ltd.

Um Banco Central do Brasil independente: à procura de uma estrutura administrativa autônoma e descentralizada

o tema sobre a estrutura administrativa mais adequada para um Banco Central do Brasil, que procura sua autonomia, se desenrola a partir da situação administrativa do BACEN, que se apresenta no dias de hoje, e os questionamentos a respeito de sua independência, nos Capítulos 1 e 2, passando por modelos teóricos de estrutura administrativa e por modelos funcionais de Bancos Centrais independentes, comparados entre si e com o modelo brasileiro, nos Capítulos 3 e 4. Em seguida, são demonstrados os empenhos que se efetivam em realidade para que o BACEN chegue à sua autonomia, através de projetos que tramitam no Congresso Nacional e do Plano de Ação Estratégica para o BACEN, referidos nos Capítulos 5 e 6, até se chegar às opiniões de especialistas, no Capítulo 7, que serviram para reforçar a conclusão de que a mudança organizacional em busca da autonomia do Banco Central do Brasil não é apenas em decorrência do levantamento de aspectos técnicos, políticos e econômicos e, sim, uma consequência de um processo maior de integração entre estes e os aspectos comportamentais e administrativos dessa organização.