Calibration uncertainty estimation for internal aerodynamic balance

Aerodynamic balances are employed in wind tunnels to estimate the forces and moments acting on the model under test. This paper proposes a methodology for the assessment of uncertainty in the calibration of an internal multi-component aerodynamic balance. In order to obtain a suitable model to provide aerodynamic loads from the balance sensor responses, a calibration is performed prior to the tests by applying known weights to the balance. A multivariate polynomial fitting by the least squares method is used to interpolate the calibration data points. The uncertainties of both the applied loads and the readings of the sensors are considered in the regression. The data reduction includes the estimation of the calibration coefficients, the predicted values of the load components and their corresponding uncertainties, as well as the goodness of fit.

Current status, uncertainty and future needs in soil organic carbon monitoring

Increasing human demands on soil-derived ecosystem services requires reliable data on global soil resources for sustainable development. The soil organic carbon (SOC) pool is a key indicator of soil quality as it affects essential biological, chemical and physical soil functions such as nutrient cycling, pesticide and water retention, and soil structure maintenance. However, information on the SOC pool, and its temporal and spatial dynamics is unbalanced. Even in well-studied regions with a pronounced interest in environmental issues information on soil carbon (C) is inconsistent. Several activities for the compilation of global soil C data are under way. However, different approaches for soil sampling and chemical analyses make even regional comparisons highly uncertain. Often, the procedures used so far have not allowed the reliable estimation of the total SOC pool, partly because the available knowledge is focused on not clearly defined upper soil horizons and the contribution of subsoil to SOC stocks has been less considered. Even more difficult is quantifying SOC pool changes over time. SOC consists of variable amounts of labile and recalcitrant molecules of plant, and microbial and animal origin that are often operationally defined. A comprehensively active soil expert community needs to agree on protocols of soil surveying and lab procedures towards reliable SOC pool estimates. Already established long-term ecological research sites, where SOC changes are quantified and the underlying mechanisms are investigated, are potentially the backbones for regional, national, and international SOC monitoring programs. © 2013 Elsevier B.V.

A plurifuncionalidade da segurança alimentar no meio ambiente como dever de solidariedade agroambiental

O presente trabalho trata da análise teórica da plurifuncionalidade da Segurança Alimentar e Nutricional (SAN) no meio ambiente, que se sustenta como um dever de solidariedade agroambiental. O trabalho foi dividido em três partes, cada uma com dois capítulos, que foram desenvolvidos inicialmente com o estabelecimento do contexto em que se encontram os assuntos abordados, e finalizados com observações acerca das principais ideias estudadas, até a elaboração de considerações finais, que demonstram os resultados alcançados pelo trabalho. Utiliza-se a metodologia teórica e o raciocínio indutivo-crítico, pois se parte do estudo de um fenômeno individualizado, a SAN, para se prejetarem hipóteses que considerem seus efeitos e interações com o meio ambiente natural, para ao final buscar generalizar as soluções encontradas, notadamente a solidariedade em sua dimensão de dever jurídico. Procura-se sustentar a argumentação com obras de referência bibliográficas e outras produções científicas de entidades nacionais e estrangeiras. Discute-se introdutoriamente alguns motivos que levaram à realização da tese, quais sejam os graves problemas que envolvem a alimentação humana na contemporaneidade, destaca sua aproximação com os direitos humanos, especialmente com o princípio da solidariedade e suas características de transdisciplinaridade metodológica, que gera necessariamente efeitos em vários outros campos do conhecimento. São revisados criticamente conceitos firmados pela Organização das Nações Unidas para Agricultura e Alimentação (FAO), especialmente os referentes ao direito à alimentação, direito a estar alimentado, soberania alimentar, Segurança Alimentar e Nutricional (SAN), desnutrição, subnutrição e má nutrição. Considera-se a SAN em sua dimensão plurifuncional porque implica necessariamente em repercussões éticas e jurídicas no âmbito dos direitos humanos, a partir da ideia teórica da solidariedade, que é estudada desde a sua formação antiga, quando associada à virtude, até à modernidade e a aproximação com a política e o direito, entendida no presente como princípio que sustenta o dever jurídico ligado à gestão racional de bens ambientais voltados à alimentação, delimitados em especial no direito agroambiental, percebendo-se a solidariedade então como fundamento de direitos, valor superior qualificada pela fraternidade, e ao mesmo tempo prevista em documentos internacionais de direitos humanos e em diversas constituições. Os interesses difusos são necessariamente examinados, pois a SAN é um interesse geral da sociedade humana, e implica na preservação dos bens ambientais alimentares, considerados indivisíveis na visão solidária, que deve ser integrada aos valores liberdade e igualdade, tornando-os princípios com interpretação mais humana, limitando seu exercício absoluto e ainda justificando-os. A ideia de solidariedade faz com que seja possível chegar aos direitos partindo do dever agroambiental e, diante das várias correntes teóricas que tratam do dever jurídico, considera-se que seja autônomo em relação ao direito subjetivo, mas traduzindo deveres ligados a finalidades sociais, de interesse público, que se manifestam em ambiente democrático, podendo o dever agroambiental ser considerado fenômeno com raízes de ética pública, com elevados valores ambientais, decisivos em sua dimensão jurídica de obrigações e responsabilidades, de todos em relação a todos, inclusive com normas objetivas nacionais e internacionais de proteção de bens agroambientais. Sustenta-se que nesse sentido a ética pública ligada à ética ambiental pode ser decisiva na observância ao direito, para além do convencimento meramente externo, mas enquanto manifestação também interna, ética, que carrega de sentido o dever jurídico solidário ligado à plurifuncionalidade da SAN. Também são elaboradas críticas à tradicional argumentação acerca dos direitos das gerações futuras, pela imprecisão e incerteza científica que os cinge, afastando-os da possibilidade de figurarem como objeto do direito, para assentar que os direitos de que se falam são precisamente traduzidos como deveres das gerações presentes, sendo estes deveres o vínculo jurídico entre gerações sucessivas. Nesse sentido, a solidariedade intergeracional passa a ter um liame jurídico contínuo, estudado através da teoria dos direitos fundamentais, o que lhe confere como característica a fluidez entre as gerações, e que por isso exige o aproveitamento racional dos recursos ambientais naturais, amparado nos princípios da precaução e informação, na ética da responsabilidade dirigida a todas as gerações, que demanda a incorporação de longo tempo nas ações humanas, que possibilite a ampla educação ambiental, e o desenvolvimento do pensamento altruísta, transtemporal, que considere problemas ambientais transfonteiriços e os bens ambientais naturais finitos, sendo indispensável conscientização da geração presente e de sua classe política para a afirmação da solidariedade. Estuda-se ainda que o dever de gestão racional dos bens ambientais naturais alimentares é dever de solidariedade, pois se considera que cada indivíduo usa uma parcela imaterial e indivisa desse bem coletivo, que pode ser público ou privado, mas que se sujeita à solidariedade. Nesse contexto só prevalece o direito de propriedade, em relação aos seus atributos tradicionais, se o objetivo comum de preservação dos bens ambientais alimentares não fornecer uma justificativa suficiente para impor readequação da atividade, abstenção de conduta, ou mesmo medidas sancionadoras decorrentes de responsabilização objetiva. Finalmente, enquanto contribuição científica, o trabalho apresenta um ensaio para a construção das características do dever de solidariedade agroambiental, quais sejam, o seu objeto e os sujeitos, a sua estrutura, que abrange a natureza das obrigações dele decorrente, e o regime principiológico. A conclusão geral apresentada é que o dever de solidariedade agroambiental, demonstrado sua ocorrência pela plurifuncionalidade da SAN, corresponde à ideia de justiça e moralidade política, fenômeno no qual é percebida intensa conexão entre o direito e a ética ambiental, compreensão relevante para resolução de conflitos que envolvam alimentação humana e a utilização de bens ambientais naturais.

A Multi-Stage Stochastic Non-Linear Model for Reactive Power Planning Under Contingencies

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

A note on model uncertainty in linear regression

We consider model selection uncertainty in linear regression. We study theoretically and by simulation the approach of Buckland and co-workers, who proposed estimating a parameter common to all models under study by taking a weighted average over the models, using weights obtained from information criteria or the bootstrap. This approach is compared with the usual approach in which the 'best' model is used, and with Bayesian model averaging. The weighted predictor behaves similarly to model averaging, with generally more realistic mean-squared errors than the usual model-selection-based estimator.

Quantum entanglement of bound particles under free center of mass dispersion

On the basis of the full analytical solution of the overall unitary dynamics, the time evolution of entanglement is studied in a simple bipartite model system evolving unitarily from a pure initial state. The system consists of two particles in one spatial dimension bound by harmonic forces and having its free center of mass initially localized in space in a minimum uncertainty wavepacket. The existence of such initial states in which the bound particles are not entangled is discussed. Galilean invariance of the system ensures that the dynamics of entanglement between the two particles is independent of the wavepacket mean momentum. In fact, as shown, it is driven by the dispersive center of mass free dynamics, and evolves in a time scale that depends on the interparticle interaction in an essential way.

Brain activity and medical diagnosis: an EEG study

Abstract Background Despite new brain imaging techniques that have improved the study of the underlying processes of human decision-making, to the best of our knowledge, there have been very few studies that have attempted to investigate brain activity during medical diagnostic processing. We investigated brain electroencephalography (EEG) activity associated with diagnostic decision-making in the realm of veterinary medicine using X-rays as a fundamental auxiliary test. EEG signals were analysed using Principal Components (PCA) and Logistic Regression Analysis Results The principal component analysis revealed three patterns that accounted for 85% of the total variance in the EEG activity recorded while veterinary doctors read a clinical history, examined an X-ray image pertinent to a medical case, and selected among alternative diagnostic hypotheses. Two of these patterns are proposed to be associated with visual processing and the executive control of the task. The other two patterns are proposed to be related to the reasoning process that occurs during diagnostic decision-making. Conclusions PCA analysis was successful in disclosing the different patterns of brain activity associated with hypothesis triggering and handling (pattern P1); identification uncertainty and prevalence assessment (pattern P3), and hypothesis plausibility calculation (pattern P2); Logistic regression analysis was successful in disclosing the brain activity associated with clinical reasoning success, and together with regression analysis showed that clinical practice reorganizes the neural circuits supporting clinical reasoning.

Why Cherry-Picking Never Leads to Harmonisation: The Case of the Limitations on Copyright under Directive 2001/29/EC

The article examines whether the norms laid down in the Directive in relation to the exceptions and limitations on copyright and related rights can be conducive to a sensible degree of harmonisation across the European Union. Before discussing the degree of harmonisation achieved so far by the Directive, the first part gives a short overview of the main characteristics of the list of exceptions and limitations contained in Article 5 of the Directive. A comprehensive review of the implementation of each limitation by the Member States is beyond the scope of this article. The following section takes a closer look at three examples of limitations that have led to legislative changes at the Member State level as express measures towards the implementation of the Information Society Directive, that is, the limitations for the benefit of libraries, for teaching and research, and for persons with a disability. These exceptions and limitations were later on also identified by the European Commission as key elements in the deployment of a digital knowledge economy. The analysis will show that the implementation of the provisions on limitations in the Information Society Directive did not, and probably cannot, yield the expected level of harmonisation across the European Union and that, as a consequence, there still exists a significant degree of uncertainty for the stakeholders regarding the extent of permissible acts with respect to copyright protected works.

Decision strategies for policy decisions under uncertainties: The case of mitigation measures addressing methane emissions from ruminants

Decision strategies aim at enabling reasonable decisions in cases of uncertain policy decision problems which do not meet the conditions for applying standard decision theory. This paper focuses on decision strategies that account for uncertainties by deciding whether a proposed list of policy options should be accepted or revised (scope strategies) and whether to decide now or later (timing strategies). They can be used in participatory approaches to structure the decision process. As a basis, we propose to classify the broad range of uncertainties affecting policy decision problems along two dimensions, source of uncertainty (incomplete information, inherent indeterminacy and unreliable information) and location of uncertainty (information about policy options, outcomes and values). Decision strategies encompass multiple and vague criteria to be deliberated in application. As an example, we discuss which decision strategies may account for the uncertainties related to nutritive technologies that aim at reducing methane (CH4) emissions from ruminants as a means of mitigating climate change, limiting our discussion to published scientific information. These considerations not only speak in favour of revising rather than accepting the discussed list of options, but also in favour of active postponement or semi-closure of decision-making rather than closure or passive postponement.

Understanding and Characterizing Shared Decision-Making and Behavioral Intent in Medical Uncertainty

Applying Theoretical Constructs to Address Medical Uncertainty Situations involving medical reasoning usually include some level of medical uncertainty. Despite the identification of shared decision-making (SDM) as an effective technique, it has been observed that the likelihood of physicians and patients engaging in shared decision making is lower in those situations where it is most needed; specifically in circumstances of medical uncertainty. Having identified shared decision making as an effective, yet often a neglected approach to resolving a lack of information exchange in situations involving medical uncertainty, the next step is to determine the way(s) in which SDM can be integrated and the supplemental processes that may facilitate its integration. SDM involves unique types of communication and relationships between patients and physicians. Therefore, it is necessary to further understand and incorporate human behavioral elements - in particular, behavioral intent - in order to successfully identify and realize the potential benefits of SDM. This paper discusses the background and potential interaction between the theories of shared decision-making, medical uncertainty, and behavioral intent. Identifying Shared Decision-Making Elements in Medical Encounters Dealing with Uncertainty A recent summary of the state of medical knowledge in the U.S. reported that nearly half (47%) of all treatments were of unknown effectiveness, and an additional 7% involved an uncertain tradeoff between benefits and harms. Shared decision-making (SDM) was identified as an effective technique for managing uncertainty when two or more parties were involved. In order to understand which of the elements of SDM are used most frequently and effectively, it is necessary to identify these key elements, and understand how these elements related to each other and the SDM process. The elements identified through the course of the present research were selected from basic principles of the SDM model and the “Data, Information, Knowledge, Wisdom” (DIKW) Hierarchy. The goal of this ethnographic research was to identify which common elements of shared decision-making patients are most often observed applying in the medical encounter. The results of the present study facilitated the understanding of which elements patients were more likely to exhibit during a primary care medical encounter, as well as determining variables of interest leading to more successful shared decision-making practices between patients and their physicians. Understanding Behavioral Intent to Participate in Shared Decision-Making in Medically Uncertain Situations Objective: This article describes the process undertaken to identify and validate behavioral and normative beliefs and behavioral intent of men between the ages of 45-70 with regard to participating in shared decision-making in medically uncertain situations. This article also discusses the preliminary results of the aforementioned processes and explores potential future uses of this information which may facilitate greater understanding, efficiency and effectiveness of doctor-patient consultations.Design: Qualitative Study using deductive content analysisSetting: Individual semi-structure patient interviews were conducted until data saturation was reached. Researchers read the transcripts and developed a list of codes.Subjects: 25 subjects drawn from the Philadelphia community.Measurements: Qualitative indicators were developed to measure respondents’ experiences and beliefs related to behavioral intent to participate in shared decision-making during medical uncertainty. Subjects were also asked to complete the Krantz Health Opinion Survey as a method of triangulation.Results: Several factors were repeatedly described by respondents as being essential to participate in shared decision-making in medical uncertainty. These factors included past experience with medical uncertainty, an individual’s personality, and the relationship between the patient and his physician.Conclusions: The findings of this study led to the development of a category framework that helped understand an individual’s needs and motivational factors in their intent to participate in shared decision-making. The three main categories include 1) an individual’s representation of medically uncertainty, 2) how the individual copes with medical uncertainty, and 3) the individual’s behavioral intent to seek information and participate in shared decision-making during times of medically uncertain situations.

A method to incorporate the effect of taxonomic uncertainty on multivariate analyses of ecological data

Researchers in ecology commonly use multivariate analyses (e.g. redundancy analysis, canonical correspondence analysis, Mantel correlation, multivariate analysis of variance) to interpret patterns in biological data and relate these patterns to environmental predictors. There has been, however, little recognition of the errors associated with biological data and the influence that these may have on predictions derived from ecological hypotheses. We present a permutational method that assesses the effects of taxonomic uncertainty on the multivariate analyses typically used in the analysis of ecological data. The procedure is based on iterative randomizations that randomly re-assign non identified species in each site to any of the other species found in the remaining sites. After each re-assignment of species identities, the multivariate method at stake is run and a parameter of interest is calculated. Consequently, one can estimate a range of plausible values for the parameter of interest under different scenarios of re-assigned species identities. We demonstrate the use of our approach in the calculation of two parameters with an example involving tropical tree species from western Amazonia: 1) the Mantel correlation between compositional similarity and environmental distances between pairs of sites, and; 2) the variance explained by environmental predictors in redundancy analysis (RDA). We also investigated the effects of increasing taxonomic uncertainty (i.e. number of unidentified species), and the taxonomic resolution at which morphospecies are determined (genus-resolution, family-resolution, or fully undetermined species) on the uncertainty range of these parameters. To achieve this, we performed simulations on a tree dataset from southern Mexico by randomly selecting a portion of the species contained in the dataset and classifying them as unidentified at each level of decreasing taxonomic resolution. An analysis of covariance showed that both taxonomic uncertainty and resolution significantly influence the uncertainty range of the resulting parameters. Increasing taxonomic uncertainty expands our uncertainty of the parameters estimated both in the Mantel test and RDA. The effects of increasing taxonomic resolution, however, are not as evident. The method presented in this study improves the traditional approaches to study compositional change in ecological communities by accounting for some of the uncertainty inherent to biological data. We hope that this approach can be routinely used to estimate any parameter of interest obtained from compositional data tables when faced with taxonomic uncertainty.

A Comparison of different Uncertainty Activation Cross-Section Data Libraries and collapsed values for different neutron spectra: ADS, FISSION and FUSION

PART I:Cross-section uncertainties under differentneutron spectra. PART II: Processing uncertainty libraries

Analysis of Different Uncertainty Activation Cross Section Data Libraries for LWR, ads and demo Neutron Spectra

This work is aimed to present the main differences of nuclear data uncertainties among three different nuclear data libraries: EAF-2007, EAF-2010 and SCALE-6.0, under different neutron spectra: LWR, ADS and DEMO (fusion)

A new approach on the long term dynamics of neo's under Yarkorsky effect

To calculate the force associated with the Yarkovsky effect the temperature distribution on the surface of the asteroid should be determined; it depends on the asteroid orbit, size and shape, spin axis orientation and period, mass, density of surface layers, albedo, thermal conductivity, capacity and IR emissivity of the material. The uncertainty of many of these parameters invites to develop simplified methods to calculate the influence of the Yarkovsky effect on long term dynamics of asteroids. In this paper we present one of this method based in a special perturbation procedure developed in our group.

Analysis of different uncertainty activation cross section data libraries for LWR, ADS and DEMO neutron spectra

This work is aimed to present the main differences of nuclear data uncertainties among three different nuclear data libraries: EAF-2007, EAF-2010 and SCALE-6.0, under different neutron spectra: LWR, ADS and DEMO (fusion). To take into account the neutron spectrum, the uncertainty data are collapsed to onegroup. That is a simple way to see the differences among libraries for one application. Also, the neutron spectrum effect on different applications can be observed. These comparisons are presented only for (n,fission), (n,gamma) and (n,p) reactions, for the main transuranic isotopes (234,235,236,238U, 237Np, 238,239,240,241Pu, 241,242m,243Am, 242,243,244,245,246,247,248Cm, 249Bk, 249,250,251,252Cf). But also general comparisons among libraries are presented taking into account all included isotopes. In other works, target accuracies are presented for nuclear data uncertainties; here, these targets are compared with uncertainties on the above libraries. The main results of these comparisons are that EAF-2010 has reduced their uncertainties for many isotopes from EAF-2007 for (n,gamma) and (n,fission) but not for (n,p); SCALE-6.0 gives lower uncertainties for (n,fission) reactions for ADS and PWR applications, but gives higher uncertainties for (n,p) reactions in all applications. For the (n,gamma) reaction, the amount of isotopes which have higher uncertainties is quite similar to the amount of isotopes which have lower uncertainties when SCALE-6.0 and EAF-2010 are compared. When the effect of neutron spectra is analysed, the ADS neutron spectrum obtained the highest uncertainties for (n,gamma) and (n,fission) reactions of all libraries.