Scrutinizing the ZW(+)W(-) vertex at the Large Hadron Collider at 7 TeV

We analyze the potential of the CERN Large Hadron Collider running at 7 TeV to search for deviations from the Standard Model predictions for the triple gauge boson coupling ZW(+)W(-) assuming an integrated luminosity of 1 fb(-1). We show that the study of W(+)W(-) and W(+/-)Z productions, followed by the leptonic decay of the weak gauge bosons can improve the present sensitivity on the anomalous couplings Delta g(1)(Z), Delta kappa(Z), lambda(Z), g(4)(Z), and (lambda) over bar (Z) at the 2 sigma level. (C) 2010 Elsevier B.V. All rights reserved.

MATERIALS EDUCATION AND INNOVATION: GLOBALIZATION OPENS NEW FRONTIERS, OPPORTUNITIES AND CHALLENGES

In this paper we consider evolutionary pressures that will influence materials education and its role in the present scenario of Globalization: Challenges, Opportunities and needs. The main evolutionary pressures are related to some major control variables: increase of global population, new emerging technologies such as nanotechnology, alternative energies related to climate change, multimedia convergence in global communications, health, hunger, economic asymmetries and violence. Of course, many other factors could be identified, but this paper considers these as an adequate minimum basis for strategic considerations related to current materials education planning for the 21st century. In conclusion, we propose an International Network Program for Materials Education Strategy, thinking globally but acting regionally.

Perfect Simulation of a Coupling Achieving the (d)over-bar-distance Between Ordered Pairs of Binary Chains of Infinite Order

We explicitly construct a stationary coupling attaining Ornstein`s (d) over bar -distance between ordered pairs of binary chains of infinite order. Our main tool is a representation of the transition probabilities of the coupled bivariate chain of infinite order as a countable mixture of Markov transition probabilities of increasing order. Under suitable conditions on the loss of memory of the chains, this representation implies that the coupled chain can be represented as a concatenation of i.i.d. sequences of bivariate finite random strings of symbols. The perfect simulation algorithm is based on the fact that we can identify the first regeneration point to the left of the origin almost surely.

A computational comparison of different algorithms for very large p-median problems

In this paper, we propose a new method for solving large scale p-median problem instances based on real data. We compare different approaches in terms of runtime, memory footprint and quality of solutions obtained. In order to test the different methods on real data, we introduce a new benchmark for the p-median problem based on real Swedish data. Because of the size of the problem addressed, up to 1938 candidate nodes, a number of algorithms, both exact and heuristic, are considered. We also propose an improved hybrid version of a genetic algorithm called impGA. Experiments show that impGA behaves as well as other methods for the standard set of medium-size problems taken from Beasley’s benchmark, but produces comparatively good results in terms of quality, runtime and memory footprint on our specific benchmark based on real Swedish data.

Calibration Strategies Designed For Long Term Sediment Transport Modelling

The presented work deals with the calibration of a 2D numerical model for the simulation of long term bed load transport. A settled basin along an alpine stream was used as a case study. The focus is to parameterise the used multi fractional transport model such that a dynamically balanced behavior regarding erosion and deposition is reached. The used 2D hydrodynamic model utilizes a multi-fraction multi-layer approach to simulate morphological changes and bed load transport. The mass balancing is performed between three layers: a top mixing layer, an intermediate subsurface layer and a bottom layer. Using this approach bears computational limitations in calibration. Due to the high computational demands, the type of calibration strategy is not only crucial for the result, but as well for the time required for calibration. Brute force methods such as Monte Carlo type methods may require a too large number of model runs. All here tested calibration strategies used multiple model runs utilising the parameterization and/or results from previous run. One concept was to reset to initial bed elevations after each run, allowing the resorting process to convert to stable conditions. As an alternative or in combination, the roughness was adapted, based on resulting nodal grading curves, from the previous run. Since the adaptations are a spatial process, the whole model domain is subdivided in homogeneous sections regarding hydraulics and morphological behaviour. For a faster optimization, the adaptation of the parameters is made section wise. Additionally, a systematic variation was done, considering results from previous runs and the interaction between sections. The used approach can be considered as similar to evolutionary type calibration approaches, but using analytical links instead of random parameter changes.

Optimal Rehabilitation Strategy In Water Distribution Systems Considering Reduction In Greenhouse Gas Emissions

Most of water distribution systems (WDS) need rehabilitation due to aging infrastructure leading to decreasing capacity, increasing leakage and consequently low performance of the WDS. However an appropriate strategy including location and time of pipeline rehabilitation in a WDS with respect to a limited budget is the main challenge which has been addressed frequently by researchers and practitioners. On the other hand, selection of appropriate rehabilitation technique and material types is another main issue which has yet to address properly. The latter can affect the environmental impacts of a rehabilitation strategy meeting the challenges of global warming mitigation and consequent climate change. This paper presents a multi-objective optimization model for rehabilitation strategy in WDS addressing the abovementioned criteria mainly focused on greenhouse gas (GHG) emissions either directly from fossil fuel and electricity or indirectly from embodied energy of materials. Thus, the objective functions are to minimise: (1) the total cost of rehabilitation including capital and operational costs; (2) the leakage amount; (3) GHG emissions. The Pareto optimal front containing optimal solutions is determined using Non-dominated Sorting Genetic Algorithm NSGA-II. Decision variables in this optimisation problem are classified into a number of groups as: (1) percentage proportion of each rehabilitation technique each year; (2) material types of new pipeline for rehabilitation each year. Rehabilitation techniques used here includes replacement, rehabilitation and lining, cleaning, pipe duplication. The developed model is demonstrated through its application to a Mahalat WDS located in central part of Iran. The rehabilitation strategy is analysed for a 40 year planning horizon. A number of conventional techniques for selecting pipes for rehabilitation are analysed in this study. The results show that the optimal rehabilitation strategy considering GHG emissions is able to successfully save the total expenses, efficiently decrease the leakage amount from the WDS whilst meeting environmental criteria.

Using Technology to Increase Collaboration Between the Library, Teaching Faculty, and the Campus at Large

This article outlines many different ways of using technology to better link academic librarians and faculty, focusing particularly on how the appropriate use of technology in Acquisitions can improve the image of the library. The article presents a comprehensive overview of how technologies can be used to make Acquisitions not just a book purchasing department, but a department that works proactively to impress consituents, helping to make the library a central and prestigious part of the campus community. While the article's primary focus is on academic libraries, much of the discussion is also applicable to other types of libraries.

Laws of large numbers for non-additive probabilities

We apply the concept of exchangeable random variables to the case of non-additive robability distributions exhibiting ncertainty aversion, and in the lass generated bya convex core convex non-additive probabilities, ith a convex core). We are able to rove two versions of the law of arge numbers (de Finetti's heorems). By making use of two efinitions. of independence we rove two versions of the strong law f large numbers. It turns out that e cannot assure the convergence of he sample averages to a constant. e then modal the case there is a true" probability distribution ehind the successive realizations of the uncertain random variable. In this case convergence occurs. This result is important because it renders true the intuition that it is possible "to learn" the "true" additive distribution behind an uncertain event if one repeatedly observes it (a sufficiently large number of times). We also provide a conjecture regarding the "Iearning" (or updating) process above, and prove a partia I result for the case of Dempster-Shafer updating rule and binomial trials.

Um modelo "time-varying markov-Switching" para crescimento econômico e algoritmo de estimação

Este trabalho elabora um modelo para investigação do padrão de variação do crescimento econômico, entre diferentes países e através do tempo, usando um framework Markov- Switching com matriz de transição variável. O modelo desenvolvido segue a abordagem de Pritchett (2003), explicando a dinâmica do crescimento a partir de uma coleção de diferentes estados – cada qual com seu sub-modelo e padrão de crescimento – através dos quais os países oscilam ao longo do tempo. A matriz de transição entre os diferentes estados é variante no tempo, dependendo de variáveis condicionantes de cada país e a dinâmica de cada estado é linear. Desenvolvemos um método de estimação generalizando o Algoritmo EM de Diebold et al. (1993) e estimamos um modelo-exemplo em painel com a matriz de transição condicionada na qualidade das instituições e no nível de investimento. Encontramos três estados de crescimento: crescimento estável, ‘milagroso’ e estagnação - virtualmente coincidentes com os três primeiros de Jerzmanowski (2006). Os resultados mostram que a qualidade das instituições é um importante determinante do crescimento de longo prazo enquanto o nível de investimento tem papel diferenciado: contribui positivamente em países com boa qualidade de instituições e tem papel pouco relevante para os países com instituições medianas ou piores.

Creating buyer-supplier commitment in food supply chains at the base of the pyramid

Esta pesquisa analisa o papel dos aspectos relacionais tais como confiança, comprometimento, interdependência e uso de poder âmbito das estratégias de negócios inclusivos que envolvem pequenos agricultores nas cadeias de valor de multinacionais dos agronegócios no Brasil. Os negócios inclusivos de abastecimento direto por empresas com pequenos agricultores em países em desenvolvimento têm sido reconhecidos como uma abordagem economicamente viavél e promissora para criar impacto social e melhorar as condições de vida de produtores rurais da "base da pirâmide", ao mesmo tempo permitindo que as empresas reforçar as suas posições nos mercados locais e adquirir matérias primas de qualidade a custos mais baixos. Estudos sobre este tema focam amplamente sobre as vantagens comerciais e competitivas que as empresas derivam do abastecimento direito com pequenos fornecedores, apresentando modelos de cadeia de valor customizados e ajustados estratégias globais de negócios, no entanto ainda há pouco conhecimento teoricamente fundamentado sobre os desafios organizacionais e relacionais da relação entre o comprador multinacional e o fornecedor de baixa renda. Além disso, pouco foco tem-se prestado sobre como assimetrias entre multinacionais e produtores de baixa renda, em questão de poder, dependência e de valores pode afetar a evolução dessas relações de negócios. O objetivo do estudo foi descrever os fatores que permitem a esses parceiros assimétricos de construir relacionamentos comerciais de longo prazo e mutuamente benéficos. A metodologia da teoria fundamentada foi usada e foi particularmente adequada para examinar as relações entre comprador e fornecedor e para recolher experiências de campo em três setores principais dominados pela agricultura familiar no Brasil, ou seja laticínios, avi-suinocultura e produção hortícola. Os principais conceitos teóricos da área de Relationship Marketing foram usados para apoiar os resultados da pesquisa de campo. A principal conclusão desta pesquisa é a importância de ir além da construção de confiança na estratégia de gestão do relacionamento entre comprador e fornecedor e de criar parcerias diádicas baseadas na interdependência mútua, a fim de reduzir as assimetrias e melhorar o comprometimento entre a empresa e o pequeno agricultor.

Avaliação do impacto do Programa Farmácia Popular em uma rede independe de drogarias

A despeito de o Brasil contar com modelo de distribuição pública gratuita de medicamentos, representando avanço em relação à maioria dos países em desenvolvimento, o cenário geral apresenta problemas de diversas ordens. O abastecimento público é falho e ineficiente, contando com profissionais pouco motivados e com pouco treinamento. Isso resulta em perdas oriundas de desvios, má condição de estocagem e processos inadequados de distribuição. A utilização da malha privada através do Programa Farmácia Popular do Brasil, do ponto de vista do governo, promove capilaridade no atendimento, aumentando o bem estar social e reduz custos com a utilização de pessoal. Do ponto de vista da sociedade, amplia o acesso de medicamentos à população. Deste modo, o programa tem representado uma solução eficiente para a distribuição de medicamentos no país. No entanto, do ponto de vista empresarial, os resultados da utilização da malha privada para a distribuição gratuita de medicamentos ainda são pouco descritos. O presente estudo pretende avaliar os impactos relacionados ao credenciamento no programa do governo federal em redes independentes de farmácias e drogarias privadas na distribuição gratuita de medicamentos para a população. Aborda um assunto multifuncional, além de consistir em uma análise do programa que faz parte das diretrizes do governo federal e ser um tema de caráter inédito com foco no ambiente empresarial. Do ponto de vista empresarial, o atendimento ao programa de distribuição gratuita de medicamentos em atendimento ao programa do governo federal pode representar um fator de alavancagem dos negócios ao trazer consumidores potenciais para o estabelecimento. No entanto, é necessário que ocorram adaptações na gestão do capital de giro para suportar os possíveis atrasos no repasse do governo e suprir o abastecimento de medicamentos à demandas crescentes. Assim, as drogarias inseridas no setor varejista farmacêutico em cidades em desenvolvimento adquirem vantagem competitiva e fornecem maior valor a seus consumidores. Em suma, o projeto de acesso a medicamentos, implica em benefícios líquidos generalizados. Para a população, o acesso direto e efetivo. Para o setor privado, a ampliação do mercado e a estabilidade da demanda. Para o governo, a substituição de uma estratégia que converge para o desgaste econômico, social e político.

Teorias de motivação de pessoas, aplicadas nas organizações públicas fortemente hierarquizadas

Esta tese teve por objetivo identificar os principais fatores de motivação de pessoas que trabalham em organizações públicas fortemente hierarquizadas, como as do Exército Brasileiro, preenchendo uma lacuna de conhecimento existente em pesquisas acadêmicas sobre o tema. Diferentes trabalhadores possuem diferentes fatores de motivação, fatores estes que liberam a motivação que está dentro dessas pessoas.Estudou-se dezoito teorias sobre motivação dentre as mais citadas no meio acadêmico. Estas teorias permitiram estruturar um roteiro de entrevistas que foi aplicado em trinta e três militares do Exército Brasileiro.Estas entrevistas foram submetidas à análise de conteúdo, o que permitiu a identificação dos principais fatores de motivação desses profissionais.Concluiu-se que os principais fatores de motivação das pessoas que trabalham em organizações fortemente hierarquizadas, em ordem de importância, são: 1) valorização, 2) fazer o que se gosta, 3) exemplo do chefe, 4) importância do que se faz, 5) realização, 6) confiança e 7) justiça. Os três primeiros fatores formam um primeiro grupo e os outros quatro fatores formam um segundo grupo. Essa divisão se fez necessária porque os fatores do primeiro grupo se revelaram muito mais fortes que os fatores do segundo grupo, havendo necessidade de destacá-los. Confirmou-se, também, que as teorias de motivação são perfeitamente aplicáveis às organizações públicas fortemente hierarquizadas e que estas teorias produzem alguns fatores de motivação específicos à realidade organizacionaldessas instituições. Após a análise do conteúdo das entrevistas, à luz das teorias de motivação, concluiu-se que há uma necessidade psicológica muito forte nas pessoas: a necessidadede se sentir valorizada. A motivação no contexto organizacional normalmente depende do relacionamento entre o gestor de pessoas, ou o líder e os seus liderados. A ação do líder é fundamental para despertar a motivação que já está dentro das pessoas. O foco das atenções do líder deve estar voltado para os liderados e não para si mesmo.Porque quando os liderados são fortes, o líder é forte e a organização obtém resultados surpreendentes. Por fim, conclui-se que a motivação das pessoas, nas organizações públicas fortemente hierarquizadas, como o Exército Brasileiro, é liberada quando a organização procura aplicar os sete principais fatores de motivação de pessoas revelados nesta tese.E acima de tudo, quando o líder cria condições para a satisfação da principal necessidade das pessoas: se sentir valorizadas.

Cultural strategies: how do national cultures impact the operations strategy?

Through the assessment of the fourth round of the High Performance Manufacturing (HPM) project and the introduction of Hofstede’s Cultural Classification, the present work aims to deepen the comprehension of the impact of National Cultures on firms’ Operations Strategy. The ANOVA comparisons of four Operations Strategy elements in countries with different industrialization and development backgrounds (e.g. Germany, China, Brazil and South Korea) suggest that while Integrating Leadership and Implementation of Manufacturing Strategy are affected by the cultural levels of Power Distance, Individualism vs. Collectivism and Uncertainty Avoidance, the other two elements of Operations Strategy, Functional Integration and Formal Manufacturing Strategy, show effects of the degree of Individualism vs. Collectivism and Long-Term Orientation. The results of the study are expected to offer new perspectives on the planning and implementation of strategic and operations management for both practitioners and academics. More specifically, the analysis of cross-cultural influence over operations strategy may contribute to a better understanding of how cooperative behavior may lead firms to generate higher rents through the strengths and weaknesses of their relations, particularly in terms of global supply chains.

Citizens and the future of multilateralism in a polycentric world at 2030: the perspectives of emerging countries for the trading system: the impasse of WTO, the trends of mega agreements, the logic of value chains and the advent of consumers concerns on international trade

A new paradigm is modeling the World: evolutionary innovations in all fronts, new information technologies, huge mobility of capital, use of risky financial tools, globalization of production, new emerging powers and the impact of consumer concerns on governmental policies. These phenomena are shaping the World and forcing the advent of a new World Order in the Multilateral Monetary, Financial, and Trading System. The effects of this new paradigm are also transforming global governance. The political and economic orders established after the World War and centered on the multilateral model of UN, IMF, World Bank, and the GATT, leaded by the developed countries, are facing significant challenges. The rise of China and emerging countries shifted the old model to a polycentric World, where the governance of these organizations are threatened by emerging countries demanding a bigger participation in the role and decision boards of these international bodies. As a consequence, multilateralism is being confronted by polycentrism. Negotiations for a more representative voting process and the pressure for new rules to cope with the new demands are paralyzing important decisions. This scenario is affecting seriously not only the Monetary and Financial Systems but also the Multilateral Trading System. International trade is facing some significant challenges: a serious deadlock to conclude the last round of the multilateral negotiation at the WTO, the fragmentation of trade rules by the multiplication of preferential and mega agreements, the arrival of a new model of global production and trade leaded by global value chains that is threatening the old trade order, and the imposition of new sets of regulations by private bodies commanded by transnationals to support global value chains and non-governmental organizations to reflect the concerns of consumers in the North based on their precautionary attitude about sustainability of products made in the World. The lack of any multilateral order in this new regulation is creating a big cacophony of rules and developing a new regulatory war of the Global North against the Global South. The objective of this paper is to explore how these challenges are affecting the Tradinge System and how it can evolve to manage these new trends.

A new and improved strategy combining a dispersive-solid phase extraction-based multiclass method with ultra high pressure liquid chromatography for analysis of low molecular weight polyphenols in vegetables

This paper reports on the development and optimization of a modified Quick, Easy, Cheap Effective, Rugged and Safe (QuEChERS) based extraction technique coupled with a clean-up dispersive-solid phase extraction (dSPE) as a new, reliable and powerful strategy to enhance the extraction efficiency of free low molecular-weight polyphenols in selected species of dietary vegetables. The process involves two simple steps. First, the homogenized samples are extracted and partitioned using an organic solvent and salt solution. Then, the supernatant is further extracted and cleaned using a dSPE technique. Final clear extracts of vegetables were concentrated under vacuum to near dryness and taken up into initial mobile phase (0.1% formic acid and 20% methanol). The separation and quantification of free low molecular weight polyphenols from the vegetable extracts was achieved by ultrahigh pressure liquid chromatography (UHPLC) equipped with a phodiode array (PDA) detection system and a Trifunctional High Strength Silica capillary analytical column (HSS T3), specially designed for polar compounds. The performance of the method was assessed by studying the selectivity, linear dynamic range, the limit of detection (LOD) and limit of quantification (LOQ), precision, trueness, and matrix effects. The validation parameters of the method showed satisfactory figures of merit. Good linearity (View the MathML sourceRvalues2>0.954; (+)-catechin in carrot samples) was achieved at the studied concentration range. Reproducibility was better than 3%. Consistent recoveries of polyphenols ranging from 78.4 to 99.9% were observed when all target vegetable samples were spiked at two concentration levels, with relative standard deviations (RSDs, n = 5) lower than 2.9%. The LODs and the LOQs ranged from 0.005 μg mL−1 (trans-resveratrol, carrot) to 0.62 μg mL−1 (syringic acid, garlic) and from 0.016 μg mL−1 (trans-resveratrol, carrot) to 0.87 μg mL−1 ((+)-catechin, carrot) depending on the compound. The method was applied for studying the occurrence of free low molecular weight polyphenols in eight selected dietary vegetables (broccoli, tomato, carrot, garlic, onion, red pepper, green pepper and beetroot), providing a valuable and promising tool for food quality evaluation.