Modelling the time-evolution of phytoplankton size spectra from satellite remote sensing

A dynamic size-structured model is developed for phytoplankton and nutrients in the oceanic mixed layer and applied to extract phytoplankton biomass at discrete size fractions from remotely sensed, ocean-colour data. General relationships between cell size and biophysical processes (such as sinking, grazing, and primary production) of phytoplankton were included in the model through a bottom–up approach. Time-dependent, mixed-layer depth was used as a forcing variable, and a sequential data-assimilation scheme was implemented to derive model trajectories. From a given time-series, the method produces estimates of size-structured biomass at every observation, so estimates seasonal succession of individual phytoplankton size, derived here from remote sensing for the first time. From these estimates, normalized phytoplankton biomass size spectra over a period of 9 years were calculated for one location in the North Atlantic. Further analysis demonstrated that strong relationships exist between the seasonal trends of the estimated size spectra and the mixed-layer depth, nutrient biomass, and total chlorophyll. The results contain useful information on the time-dependent biomass flux in the pelagic ecosystem.

Aumento dos preços dos combustíveis no país: um processo decisório racional?

Decisões são tomadas de diversas formas e em todos os momentos, mas foi o francês Henry Fayol que propôs um modelo estruturado para essa tomada de decisão, definindo o papel dos dirigentes e suas responsabilidades na administração da empresa. No desenvolvimento do trabalho, foram estudados diversos modelos de processo decisório, como o modelo clássico racionalista, o modelo da racionalidade limitada, o modelo político, as coalizões envolvidas no processo, teorias de responsabilidade social corporativa, teorias de governança corporativa, entre outros. À luz destes modelos e baseado na missão da Petrobras, de ser uma empresa segura e rentável, o autor faz uma suposição e enquadra o processo decisório da empresa no modelo clássico racionalista, focado na maximização dos lucros e resultados. Devido ao tamanho da empresa e à diversidade de assuntos para a tomada de decisão, o autor foca seus estudos na área de Abastecimento da Petrobras e analisa o processo de tomada de decisão para o aumento dos preços dos combustíveis, com o objetivo de avaliar a veracidade da sua suposição. A metodologia de pesquisa é baseada em uma pesquisa bibliográfica e investigação documental para avaliar se o modelo de tomada de decisão é realmente racional, ou se existem influências ou fatores externos que levam a um novo modelo de processo decisório. Após comparar o modelo racional com os dados e realizações da empresa, o autor faz uma triangulação de métodos, incluindo uma pesquisa de campo para avaliar a percepção dos gestores e stakeholders sobre o modelo de tomada de decisão da empresa. O autor entrevista 11 funcionários da Petrobras e 10 stakeholders externos com o intuito de coletar percepções sobre o processo decisório da Cia., finalizando com uma análise qualitativa dos dados baseada na técnica de análise de conteúdo. Com os resultados da pesquisa, o autor comprova, por meio de documentos da empresa, que a Diretoria Executiva da Petrobras é a responsável pela aprovação da política de preços da Cia. Dentre os fatores de influência no processo decisório da empresa, a inflação foi a de maior destaque, mostrando o viés político na relação entre o governo e a empresa. A política de preços da Cia. continua sendo de médio e longo prazo, acarretando em prejuízos no curto prazo para a área de Abastecimento da Petrobras. Após alcançar todos os objetivos intermediários do trabalho, o autor conclui que a suposição inicial é falsa e que o processo decisório para o aumento dos preços dos combustíveis na Petrobras se aproxima muito mais dos modelos de racionalidade limitada e político, com enfoque nos stakeholders e na competitividade do que do modelo clássico racionalista.

Fatores operacionais e cinética do processo fermentativo para otimização da produção de etanol em escala industrial

Pós-graduação em Microbiologia Agropecuária - FCAV

Gestão de riscos em projetos de inovação através da abordagem contingencial: análise conceitual e proposição de modelo estruturado para redução de incertezas em projetos complexos

A intensificação de atividades inovadoras nas organizações tem desencadeado o surgimento de projetos de alto risco e com determinado nível de complexidade e estimulado a busca por modelos que possam tornam gerenciável as incertezas e riscos destes projetos. Metodologias tradicionais já não são suficientes para asseguram o sucesso destes projetos. A premissa de que um conjunto de ferramentas e técnicas padronizadas possa ser aplicável a todos os tipos de projetos tem sido fortemente questionada, dadas às diferenças fundamentais existentes entre eles. Este artigo apresenta uma revisão e análise da literatura de gerenciamento de riscos projetos inovadores a partir de uma perspectiva contingencial. Foram levantados artigos nas bases de dados científicas considerando- se duas grandes vertentes: tipologia de projetos e metodologias para gerenciamento de riscos de projetos inovativos e complexos. Com base na análise crítica da literatura, realizou-se uma proposição de um modelo estruturado para o gerenciamento das incertezas e riscos de projetos inovativos e complexos

On the optimal ratio of heavy to light chain genes for efficient recombinant antibody production by CHO cells

Monoclonal antibodies (Mab) are heterotetramers consisting of an equimolar ratio of heavy chain (HC) and light chain (LC) polypeptides. Accordingly, most recombinant Mab expression systems utilize an equimolar ratio of heavy chain (he) to light chain (lc) genes encoded on either one or two plasmids. However, there is no evidence to suggest that this gene ratio is optimal for stable or transient production of recombinant Mab. In this study we have determined the optimal ratio of hc:lc genes for production of a recombinant IgG(4) Mab, cB72.3, by Chinese hamster ovary (CHO) cells using both empirical and mathematical modeling approaches. Polyethyleneimine-mediated transient expression of cB72.3 at varying ratios of hc:lc genes encoded on separate plasmids yielded an optimal Mab titer at a hc:lc gene ratio of 3:2; a conclusion confirmed by separate mathematical modeling of the Mab folding and assembly process using transient expression data. On the basis of this information, we hypothesized that utilization of he genes at low hc:lc gene ratios is more efficient. To confirm this, cB72.3 Mab was transiently produced by CHO cells at constant he and varying lc gene dose. Under these conditions, Mab yield was increased with a concomitant increase in lc gene dose. To determine if the above findings also apply to stably transfected CHO cells producing recombinant Mab, we compared the intra- and extracellular ratios of HC and LC polypeptides for three GS-CHO cells lines transfected with a 1:1 ratio of hc:lc genes and selected for stable expression of the same recombinant Mab, cB72.3. Intra- and extracellular HC:LC polypeptide ratios ranged from 1:2 to 1:5, less than that observed on transient expression of the same Mab in parental CHO cells using the same vector. In conclusion, our data suggest that the optimal ratio of hc:lc genes used for transient and stable expression of Mab differ. In the case of the latter, we infer that optimal Mab production by stably transfected cells represents a compromise between HC abundance limiting productivity and the requirement for excess LC to render Mab folding and assembly more efficient.

An application of decision process modelling to manufacturing system design

As levels of investment in advanced manufacturing systems increase, effective project management becomes ever more critical. This paper demonstrates how the model proposed by Mintzberg, Raisinghani and Theoret in 1976, which structures complicated strategic decision processes, can be applied to the design of new production systems for both descriptive and analytical research purposes. This paper sets a detailed case study concerning the design and development of an advanced manufacturing system within the Mintzberg decision model and so breaks down the decision sequence into constituent parts. It thus shows how a structured model can provide a framework for the researcher who wishes to study decision episodes in the design of manufacturing facilities in greater depth.

Avaliação do Desempenho Docente na RAM Potencialidades e Constrangimentos

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências da Educação: área de especialização em Supervisão Pedagógica

Interdisciplinarity and Design Conceptualisation: Contributions from a Small-Scale Design Experiment

Literature emphasises the sparse research focused in collaborative and open approaches in the design conceptualisation stage, also known as the Fuzzy Front-End (FFE). Presently, the most challenging discussion arising from this specific field of research lies in understanding on whether or not to structure the referred conceptual stage. Accordingly, the established hypothesis behind this study sustains that a structured approach in the FFE would benefit the interdisciplinary dialogue. Therefore, two objectives support this study: to understand the benefits of an interdisciplinary approach in the FFE, and to test one proposed model for this conceptual stage. By means of a small-scale design experiment, this paper pretends to give additional contributions to this area of research, in the context of new product development (NPD). The general research supporting this specific study aims to conceptualise in the area of newly and futuristic aircraft configurations. Hence, this same topic based the conceptualisation process in the conducted ideation sessions, which are conducted by five different teams of three elements each. The results of the different ideation sessions reinforce the contemporary paradigm of Open Innovation (OI), which is based in trust and communication to better collaborate. The postulated hypothesis for this study is partially validated as teams testing the proposed and structured model generally consider that its usage would benefit the integration of different disciplines. Besides, a general feeling that a structured approach integrates different perspectives and gives creativity a focus pervades. Nevertheless, the small-scale of the design experiment attributes some limitations to this study, despite giving new insights in how to better organise coming and more sustained studies. Interestingly, the importance of sketching as an interdisciplinary means of communication is underlined with the obtained results.

Computational methods for model reduction of large-scale sparse structured descriptor systems

Magdeburg, Univ., Fak. für Mathematik, Diss., 2015

On a size-structured two-phase population model with infinite states-at-birth

In this work we introduce and analyze a linear size-structured population model with infinite states-at-birth. We model the dynamics of a population in which individuals have two distinct life-stages: an “active” phase when individuals grow, reproduce and die and a second “resting” phase when individuals only grow. Transition between these two phases depends on individuals’ size. First we show that the problem is governed by a positive quasicontractive semigroup on the biologically relevant state space. Then we investigate, in the framework of the spectral theory of linear operators, the asymptotic behavior of solutions of the model. We prove that the associated semigroup has, under biologically plausible assumptions, the property of asynchronous exponential growth.

Asynchronous growth and competition in a two-sex age-structured population model

Asynchronous exponential growth has been extensively studied in population dynamics. In this paper we find out the asymptotic behaviour in a non-linear age-dependent model which takes into account sexual reproduction interactions. The main feature of our model is that the non-linear process converges to a linear one as the solution becomes large, so that the population undergoes asynchronous growth. The steady states analysis and the corresponding stability analysis are completely made and are summarized in a bifurcation diagram according to the parameter R0. Furthermore the effect of intraspecific competition is taken into account, leading to complex dynamics around steady states.

Optimal latent period in a bacteriophage population model structured by infection-age

We study the lysis timing of a bacteriophage population by means of a continuously infection-age-structured population dynamics model. The features of the model are the infection process of bacteria, the natural death process, and the lysis process which means the replication of bacteriophage viruses inside bacteria and the destruction of them. We consider that the length of the lysis timing (or latent period) is distributed according to a general probability distribution function. We have carried out an optimization procedure and we have found the latent period corresponding to the maximal fitness (i.e. maximal growth rate) of the bacteriophage population.

Cumulative cultural dynamics and the coevolution of cultural innovation and transmission: an ESS model for panmictic and structured populations.

When individuals in a population can acquire traits through learning, each individual may express a certain number of distinct cultural traits. These traits may have been either invented by the individual himself or acquired from others in the population. Here, we develop a game theoretic model for the accumulation of cultural traits through individual and social learning. We explore how the rates of innovation, decay, and transmission of cultural traits affect the evolutionary stable (ES) levels of individual and social learning and the number of cultural traits expressed by an individual when cultural dynamics are at a steady-state. We explore the evolution of these phenotypes in both panmictic and structured population settings. Our results suggest that in panmictic populations, the ES level of learning and number of traits tend to be independent of the social transmission rate of cultural traits and is mainly affected by the innovation and decay rates. By contrast, in structured populations, where interactions occur between relatives, the ES level of learning and the number of traits per individual can be increased (relative to the panmictic case) and may then markedly depend on the transmission rate of cultural traits. This suggests that kin selection may be one additional solution to Rogers's paradox of nonadaptive culture.

Optimal latent period in a bacteriophage population model structured by infection-age

We study the lysis timing of a bacteriophage population by means of a continuously infection-age-structured population dynamics model. The features of the model are the infection process of bacteria, the death process, and the lysis process which means the replication of bacteriophage viruses inside bacteria and the destruction of them. The time till lysis (or latent period) is assumed to have an arbitrary distribution. We have carried out an optimization procedure, and we have found that the latent period corresponding to maximal fitness (i.e. maximal growth rate of the bacteriophage population) is of fixed length. We also study the dependence of the optimal latent period on the amount of susceptible bacteria and the number of virions released by a single infection. Finally, the evolutionarily stable strategy of the latent period is also determined as a fixed period taking into account that super-infections are not considered