Increasing returns, imperfect competition and factor prices

We show how, in general equilibrium models featuring increasing returns, imperfectcompetition and endogenous markups, changes in the scale of economic activity affectincome distribution across factors. Whenever final goods are gross-substitutes (gross-complements), a scale expansion raises (lowers) the relative reward of the scarce factoror the factor used intensively in the sector characterized by a higher degree of product differentiation and higher fixed costs. Under very reasonable hypothesis, our theory suggests that scale is skill-biased. This result provides a microfoundation for the secular increase in the relative demand for skilled labor. Moreover, it constitutes an important link among major explanations for the rise in wage inequality: skill-biased technical change, capital-skill complementarities and international trade. We provide new evidence on the mechanism underlying the skill bias of scale.

Movilidad intergeneracional y emparejamiento selectivo en España

This paper examines the role of assortative mating in the intergenerational economic mobility in Spain. Sons and daughters usually marry individuals with similar characteristics, which may lower mobility. Our empirical strategy employs the Two-sample two-stage least squares estimator to estimate the intergenerational income elasticity in absence of data for two generations not residing in the same household. Our findings suggest that assortative mating plays an important role in the intergenerational transmission process. On average about 50 per 100 of the covariance between parents’ income and child family’s incomecan be accounted for by the person the child is married to

Bayesian Estimation of Noise

In mathematical modeling the estimation of the model parameters is one of the most common problems. The goal is to seek parameters that fit to the measurements as well as possible. There is always error in the measurements which implies uncertainty to the model estimates. In Bayesian statistics all the unknown quantities are presented as probability distributions. If there is knowledge about parameters beforehand, it can be formulated as a prior distribution. The Bays’ rule combines the prior and the measurements to posterior distribution. Mathematical models are typically nonlinear, to produce statistics for them requires efficient sampling algorithms. In this thesis both Metropolis-Hastings (MH), Adaptive Metropolis (AM) algorithms and Gibbs sampling are introduced. In the thesis different ways to present prior distributions are introduced. The main issue is in the measurement error estimation and how to obtain prior knowledge for variance or covariance. Variance and covariance sampling is combined with the algorithms above. The examples of the hyperprior models are applied to estimation of model parameters and error in an outlier case.

To Divide or Not to Divide; MicroRNAs and Small Compounds as Modulators of Mitosis

Mitosis is under the stringent quality control of the spindle assembly checkpoint (SAC). However, in cancer cells this control can fail, leading to excessive cellular proliferation and ultimately to the formation of a tumor. Novel cancer cell selective therapies are needed to stop the uncontrolled cell proliferation and tumor growth. The aim of the research presented in this thesis was to identify microRNAs (miRNAs) that could play a role in cancer cell proliferation as well as low molecular weight (LMW) compounds that could interfere with cell division. The findings could be used to develop better cancer diagnostics and therapies in the future. First, a high-throughput screen (HTS) was performed to identify LMW compounds that possess a similar chemical interaction field as rigosertib, an anti-cancer compound undergoing clinical trials. A compound termed Centmitor-1 was discovered that phenocopied the cellular impact of rigosertib by affecting the microtubule dynamics. Next, another HTS aimed at identifying compounds that would target the Hec1 protein, which mediates the interaction between spindle microtubules and chromosomes. Perturbation of this connection should prevent cell division and induce cell death. A compound termed VTT-006 was discovered that abrogated mitosis in several cell line models and exhibited binding to Hec1 in vitro. Lastly, using a cell-based HTS two miRNAs were identified that affected cancer cell proliferation via Aurora B kinase, which is an important mitotic regulator. MiR-378a-5p was found to indirectly suppress the production of the kinase whereas let-7b showed direct binding to the 3’UTR of Aurora B mRNA and repressed its translation. The miRNA-mediated perturbation of Aurora B induced defects in mitosis leading to abnormal chromosome segregation and induction of aneuploidy. The results of this thesis provide new information on miRNA signaling in cancer, which could be utilized for diagnostic purposes. Moreover, the thesis introduces two small compounds that may benefit future drug research.

Parameter Estimation in Minification Processes

In this article it is proved that the stationary Markov sequences generated by minification models are ergodic and uniformly mixing. These results are used to establish the optimal properties of estimators for the parameters in the model. The problem of estimating the parameters in the exponential minification model is discussed in detail.

Angepasste Kommunikationssysteme für den effizienten Einsatz in dezentralen elektrischen Versorgungsstrukturen

Angepasste Kommunikationssysteme für den effizienten Einsatz in dezentralen elektrischen Versorgungsstrukturen - In öffentlichen Elektrizitätsnetzen wird der Informationsaustausch seit längerem durch historisch gewachsene und angepasste Systeme erfolgreich bewerkstelligt. Basierend auf einem weiten Erfahrungsspektrum und einer gut ausgebauten Kommunikationsinfrastruktur stellt die informationstechnische Anbindung eines Teilnehmers im öffentlichen Versorgungsnetz primär kein Hemmnis dar. Anders gestaltet sich dagegen die Situation in dezentralen Versorgungsstrukturen. Da die Elektrifizierung von dezentralen Versorgungsgebieten, mittels der Vernetzung vieler verteilter Erzeugungsanlagen und des Aufbaus von nicht an das öffentliche Elektrizitätsnetz angeschlossenen Verteilnetzen (Minigrids), erst in den letzten Jahren an Popularität gewonnen hat, sind nur wenige Projekte bis dato abgeschlossen. Für die informationstechnische Anbindung von Teilnehmern in diesen Strukturen bedeutet dies, dass nur in einem sehr begrenzten Umfang auf Erfahrungswerte bei der Systemauswahl zurückgegriffen werden kann. Im Rahmen der Dissertation ist deshalb ein Entscheidungsfindungsprozess (Leitfaden für die Systemauswahl) entwickelt worden, der neben einem direkten Vergleich von Kommunikationssystemen basierend auf abgeleiteten Bewertungskriterien und Typen, der Reduktion des Vergleichs auf zwei Systemwerte (relativer Erwartungsnutzenzuwachs und Gesamtkostenzuwachs), die Wahl eines geeigneten Kommunikationssystems für die Applikation in dezentralen elektrischen Versorgungsstrukturen ermöglicht. In Anlehnung an die klassische Entscheidungstheorie werden mit der Berechnung eines Erwartungsnutzens je Kommunikationssystems, aus der Gesamtsumme der Einzelprodukte der Nutzwerte und der Gewichtungsfaktor je System, sowohl die technischen Parameter und applikationsspezifischen Aspekte, als auch die subjektiven Bewertungen zu einem Wert vereint. Mit der Ermittlung der jährlich erforderlichen Gesamtaufwendungen für ein Kommunikationssystem bzw. für die anvisierten Kommunikationsaufgaben, in Abhängigkeit der Applikation wird neben dem ermittelten Erwartungsnutzen des Systems, ein weiterer Entscheidungsparameter für die Systemauswahl bereitgestellt. Die anschließende Wahl geeigneter Bezugsgrößen erlaubt die Entscheidungsfindung bzgl. der zur Auswahl stehenden Systeme auf einen Vergleich mit einem Bezugssystem zurückzuführen. Hierbei sind nicht die absoluten Differenzen des Erwartungsnutzen bzw. des jährlichen Gesamtaufwandes von Interesse, sondern vielmehr wie sich das entsprechende System gegenüber dem Normal (Bezugssystem) darstellt. Das heißt, der relative Zuwachs des Erwartungsnutzen bzw. der Gesamtkosten eines jeden Systems ist die entscheidende Kenngröße für die Systemauswahl. Mit dem Eintrag der berechneten relativen Erwartungsnutzen- und Gesamtkostenzuwächse in eine neu entwickelte 4-Quadranten-Matrix kann unter Berücksichtigung der Lage der korrespondierenden Wertepaare eine einfache (grafische) Entscheidung bzgl. der Wahl des für die Applikation optimalsten Kommunikationssystems erfolgen. Eine exemplarisch durchgeführte Systemauswahl, basierend auf den Analyseergebnissen von Kommunikationssystemen für den Einsatz in dezentralen elektrischen Versorgungsstrukturen, veranschaulicht und verifiziert die Handhabung des entwickelten Konzeptes. Die abschließende Realisierung, Modifikation und Test des zuvor ausgewählten Distribution Line Carrier Systems unterstreicht des Weiteren die Effizienz des entwickelten Entscheidungsfindungsprozesses. Dem Entscheidungsträger für die Systemauswahl wird insgesamt ein Werkzeug zur Verfügung gestellt, das eine einfache und praktikable Entscheidungsfindung erlaubt. Mit dem entwickelten Konzept ist erstmals eine ganzheitliche Betrachtung unter Berücksichtigung sowohl der technischen und applikationsspezifischen, als auch der ökonomischen Aspekte und Randbedingungen möglich, wobei das Entscheidungsfindungskonzept nicht nur auf die Systemfindung für dezentrale elektrische Energieversorgungsstrukturen begrenzt ist, sondern auch bei entsprechender Modifikation der Anforderungen, Systemkenngrößen etc. auf andere Applikationsanwendungen übertragen werden.

Intercomparison of shortwave radiative transfer schemes in global aerosol modeling: results from the AeroCom Radiative Transfer Experiment

In this study we examine the performance of 31 global model radiative transfer schemes in cloud-free conditions with prescribed gaseous absorbers and no aerosols (Rayleigh atmosphere), with prescribed scattering-only aerosols, and with more absorbing aerosols. Results are compared to benchmark results from high-resolution, multi-angular line-by-line radiation models. For purely scattering aerosols, model bias relative to the line-by-line models in the top-of-the atmosphere aerosol radiative forcing ranges from roughly −10 to 20%, with over- and underestimates of radiative cooling at lower and higher solar zenith angle, respectively. Inter-model diversity (relative standard deviation) increases from ~10 to 15% as solar zenith angle decreases. Inter-model diversity in atmospheric and surface forcing decreases with increased aerosol absorption, indicating that the treatment of multiple-scattering is more variable than aerosol absorption in the models considered. Aerosol radiative forcing results from multi-stream models are generally in better agreement with the line-by-line results than the simpler two-stream schemes. Considering radiative fluxes, model performance is generally the same or slightly better than results from previous radiation scheme intercomparisons. However, the inter-model diversity in aerosol radiative forcing remains large, primarily as a result of the treatment of multiple-scattering. Results indicate that global models that estimate aerosol radiative forcing with two-stream radiation schemes may be subject to persistent biases introduced by these schemes, particularly for regional aerosol forcing.

A robust Bayesian approach to null intercept measurement error model with application to dental data

Measurement error models often arise in epidemiological and clinical research. Usually, in this set up it is assumed that the latent variable has a normal distribution. However, the normality assumption may not be always correct. Skew-normal/independent distribution is a class of asymmetric thick-tailed distributions which includes the Skew-normal distribution as a special case. In this paper, we explore the use of skew-normal/independent distribution as a robust alternative to null intercept measurement error model under a Bayesian paradigm. We assume that the random errors and the unobserved value of the covariate (latent variable) follows jointly a skew-normal/independent distribution, providing an appealing robust alternative to the routine use of symmetric normal distribution in this type of model. Specific distributions examined include univariate and multivariate versions of the skew-normal distribution, the skew-t distributions, the skew-slash distributions and the skew contaminated normal distributions. The methods developed is illustrated using a real data set from a dental clinical trial. (C) 2008 Elsevier B.V. All rights reserved.

Modal transformation analyses for double three-phase transmission lines

Eigenvector and eigenvalue analyses are carried out for double three-phase transmission lines, studying the application of a constant and real phase-mode transformation matrix and the errors of this application to mode line models. Employing some line transposition types, exact results are obtained with a single real transformation matrix based on Clarke's matrix and line geometrical characteristics. It is shown that the proposed technique leads to insignificant errors when a nontransposed case is considered. For both cases, transposed and nontransposed, the access to the electrical values (voltage and current, for example) is provided through a simple matrix multiplication without convolution methods. Using this facility, an interesting model for transmission line analysis is obtained even though the nontransposed case errors are not eliminated. The main advantages of the model are related to the transformation matrix: single, real, frequency independent, and identical for voltage and current.

Representação de linhas de transmissão por meio de variáveis de estado levando em consideração o efeito da freqüência sobre os parâmetros longitudinais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Proposal of a simplified process to correct the phase decoupling using modal analysis

Modal analysis is widely approached in the classic theory of transmission line modeling. This technique is applied to model the three-phase representation of conventional electric systems taking into account their self and mutual electrical parameters. However the methodology has some particularities and inaccuracies for specific applications which are not clearly described in the basic references of this topic. This paper provides a thorough review of modal analysis theory applied to line models followed by an original and simple procedure to overcome the possible errors embedded in the modal decoupling through the three-phase system modeling. © 2012 IEEE.

Modelos para estimar exigências de treonina digestível para poedeiras comerciais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

O sistema estuarino do Delta do São Francisco-SE: análise ambiental com base no estudo de foraminíferos e tecamebas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Projeto e implantação de pequena central de geração hidrelétrica: análise de caso

The objective of this work is to study the implantation feasibility of a small hydropower system in a rural area in Guaratinguetá. Due to its location and accessibility, and the costs involved in extending the public distribution line to the property it could turn become viable the construction of an individual electric generation system. As alternatives, a solar photovoltaic system and combustion engine-electric generator systems were considered. However, the existence of a small river inside the property, the construction of a micro hydropower plant was taken into account. The choice of the micro power hydropower plant was determined by the owner and was based on the costs. The topographic and hydrological profiles as well as the geometrical characteristics of the system, including the civil infrastructure needed and the more adequate turbine, were determined. Finally, the cost spreadsheet was set and the results were compared with those calculated for the extension of the available public distribution system

Effects of Positive End-expiratory Pressure Titration and Recruitment Maneuver on Lung Inflammation and Hyperinflation in Experimental Acid Aspiration-induced Lung Injury

Background: In acute lung injury positive end-expiratory pressure (PEEP) and recruitment maneuver are proposed to optimize arterial oxygenation. The aim of the study was to evaluate the impact of such a strategy on lung histological inflammation and hyperinflation in pigs with acid aspiration-induced lung injury. Methods: Forty-seven pigs were randomly allocated in seven groups: (1) controls spontaneously breathing; (2) without lung injury, PEEP 5 cm H2O; (3) without lung injury, PEEP titration; (4) without lung injury, PEEP titration + recruitment maneuver; (5) with lung injury, PEEP 5 cm H2O; (6) with lung injury, PEEP titration; and (7) with lung injury, PEEP titration + recruitment maneuver. Acute lung injury was induced by intratracheal instillation of hydrochloric acid. PEEP titration was performed by incremental and decremental PEEP from 5 to 20 cm H2O for optimizing arterial oxygenation. Three recruitment maneuvers (pressure of 40 cm H2O maintained for 20 s) were applied to the assigned groups at each PEEP level. Proportion of lung inflammation, hemorrhage, edema, and alveolar wall disruption were recorded on each histological field. Mean alveolar area was measured in the aerated lung regions. Results: Acid aspiration increased mean alveolar area and produced alveolar wall disruption, lung edema, alveolar hemorrhage, and lung inflammation. PEEP titration significantly improved arterial oxygenation but simultaneously increased lung inflammation in juxta-diaphragmatic lung regions. Recruitment maneuver during PEEP titration did not induce additional increase in lung inflammation and alveolar hyperinflation. Conclusion: In a porcine model of acid aspiration-induced lung injury, PEEP titration aimed at optimizing arterial oxygenation, substantially increased lung inflammation. Recruitment maneuvers further improved arterial oxygenation without additional effects on inflammation and hyperinflation.