974 resultados para Mexican (Brig)


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A family owned Mexican company, Zapata Hermanos Sucesores, S.A. ("Zapata"), sold approximately US$950,000 worth of cookie tins over a period of four years to the Maurice Lenell Cooky Company ("Lenell"), an American company that produced baked goods. Lenell failed to pay Zapata for the cookie tins so Zapata sought legal advice and instituted legal proceedings against Lenell for breach of contract in the Federal District Court of Illinios. The cookie tin sale contracts were governed by the United Nations Convention on Contracts for the International Sale of Goods ("CISG"). Zapata succeeded in its Federal District Court claim and, as part of the Court's order, was awarded US$550,000 as foreseeable loss under Article 74 of the CISG, being the amount of legal fees incurred by Zapata in bringing proceedings against Lenell. On appeal to the Federal Appellate Court, however, the award of legal fees was overturned. The parties now find themselves contesting a leave application to appeal to the Supreme Court of the United States of America in a much anticipated debate over who should pay the lawyers.

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Aim: To quantify the consequences of major threats to biodiversity, such as climate and land-use change, it is important to use explicit measures of species persistence, such as extinction risk. The extinction risk of metapopulations can be approximated through simple models, providing a regional snapshot of the extinction probability of a species. We evaluated the extinction risk of three species under different climate change scenarios in three different regions of the Mexican cloud forest, a highly fragmented habitat that is particularly vulnerable to climate change. Location Cloud forests in Mexico.
Methods: Using Maxent, we estimated the potential distribution of cloud forest for three different time horizons (2030, 2050 and 2080) and their overlap with protected areas. Then, we calculated the extinction risk of three contrasting vertebrate species for two scenarios: (1) climate change only (all suitable areas of cloud forest through time) and (2) climate and land-use change (only suitable areas within a currently protected area), using an explicit patch-occupancy approximation model and calculating the joint probability of all populations becoming extinct when the number of remaining patches was less than five.
Results: Our results show that the extent of environmentally suitable areas for cloud forest in Mexico will sharply decline in the next 70 years. We discovered that if all habitat outside protected areas is transformed, then only species with small area requirements are likely to persist. With habitat loss through climate change only, high dispersal rates are sufficient for persistence, but this requires protection of all remaining cloud forest areas.
Main conclusions: Even if high dispersal rates mitigate the extinction risk of species due to climate change, the synergistic impacts of changing climate and land use further threaten the persistence of species with higher area requirements. Our approach for assessing the impacts of threats on biodiversity is particularly useful when there is little time or data for detailed population viability analyses.

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BACKGROUND: Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study.

METHODS: The study used a three-step methodology amalgamating multiple imputation, a machine learning boosted regression algorithm and logistic regression, to identify key biomarkers associated with depression in the National Health and Nutrition Examination Study (2009-2010). Depression was measured using the Patient Health Questionnaire-9 and 67 biomarkers were analysed. Covariates in this study included gender, age, race, smoking, food security, Poverty Income Ratio, Body Mass Index, physical activity, alcohol use, medical conditions and medications. The final imputed weighted multiple logistic regression model included possible confounders and moderators.

RESULTS: After the creation of 20 imputation data sets from multiple chained regression sequences, machine learning boosted regression initially identified 21 biomarkers associated with depression. Using traditional logistic regression methods, including controlling for possible confounders and moderators, a final set of three biomarkers were selected. The final three biomarkers from the novel hybrid variable selection methodology were red cell distribution width (OR 1.15; 95% CI 1.01, 1.30), serum glucose (OR 1.01; 95% CI 1.00, 1.01) and total bilirubin (OR 0.12; 95% CI 0.05, 0.28). Significant interactions were found between total bilirubin with Mexican American/Hispanic group (p = 0.016), and current smokers (p<0.001).

CONCLUSION: The systematic use of a hybrid methodology for variable selection, fusing data mining techniques using a machine learning algorithm with traditional statistical modelling, accounted for missing data and complex survey sampling methodology and was demonstrated to be a useful tool for detecting three biomarkers associated with depression for future hypothesis generation: red cell distribution width, serum glucose and total bilirubin.

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Wildfires have major impacts on ecosystems globally. Fire regimes (including fire frequency, intensity, season and type of fire) influence the status of species by altering habitat suitability at the site scale, and by creating heterogeneity at the landscape scale. The relative effects of site and landscape-scale fire attributes on animal species are rarely examined together. Such knowledge is important, given that fire regimes are sensitive to changing land management practices; and that fires are predicted to become larger and more frequent in some regions as a result of climate change. Here, we tested the relative influence of elements of the fire regime (fire severity, fire history) at the site-scale, and the landscape context (extent of surrounding unburnt forest, fire heterogeneity) on the occurrence of native terrestrial mammals after severe wildfire in south-eastern Australia. We conducted surveys by using automatically triggered, infrared cameras at 80 sites in fire-prone eucalypt forests, 2-3. years post-wildfire. Thirteen native mammal species were recorded, eight of which were detected with sufficient frequency for analysis. Most species were widespread (35-90% of sites) and recorded in all fire severity classes. Fire effects at the site-level were more influential than landscape context effects arising from heterogeneity in the fire regime (e.g. extent of surrounding unburnt forest). Fire severity was the most influential of the fire-regime elements investigated, but it affected different species in different ways. This study highlights three main points relevant to conservation of terrestrial mammals after wildfire. First, spatial variation in fire severity associated with wildfire (ranging from unburned to severely burned stands) is an important contributor to the post-fire status of species. Second, post-fire environmental conditions are significant: here, rapid regeneration of vegetation following drought-breaking rains greatly influenced the suitability of post-fire habitats. Third, it is valuable to consider the effects of the fire regime at multiple scales, including both the site (forest stand) and its landscape context. Insights from short-term surveys, such as this, will be enhanced by complementary longitudinal studies, especially where they encompass environmental variation through the post-fire succession.

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No início de 2005, uma nova Lei de Falências foi aprovada pelo Congresso Nacional, entrando em meados de junho do mesmo ano. A nova legislação ampliou o grau de proteção ao credor em muitos aspectos. Este artigo busca investigar algumas das consequências empíricas dessa nova lei sobre o mercado de crédito, utilizado dados de firmas argentinas, brasileiras, chilenas e mexicanas para estimar dois modelos para dados em painel: o primeiro com tendências específicas para cada firma e o outro com tendência macro comum às firmas de um mesmo país. A estimação dos dois modelos produziu resultados similares. Foram encontrados impactos significativos sobre a oferta de crédito, o custo da dívida e a oferta de crédito segurado, não-segurado e de longo prazo. Não foram encontrados impactos sobre o total de dívida de curto prazo.

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O presente trabalho tem por objetivo levantar quais as dificuldades que os executivos brasileiros, caracterizados por um estilo gerencial brasileiro, enfrentam ao fazer negócios e trabalhar no México. Escolhemos Brasil e México por dois motivos: o primeiro é que atualmente estes dois países representam as duas maiores economias da América Latina, sendo responsáveis por mais de 60% do PIB da região. O segundo é nosso interesse pessoal, devido nossa própria experiência de trabalho, iniciada em 2002 (e que continua acontecendo até o presente momento) quando começamos a interagir com o México no nosso trabalho cotidiano dentro de uma empresa privada. Para alcançar o nosso objetivo primeiramente definimos o que é cultura, cultura nacional, e como ela afeta o estilo gerencial. Estudamos na bibliografia os estilos gerenciais brasileiro e mexicano, e utilizamos o modelo de comparação de estilos gerenciais de Hofstede para identificar as diferenças entre eles, pois acreditamos que as dificuldades se relacionam com as diferenças entre os dois estilos. Posteriormente, fizemos uma pesquisa de campo, entrevistando de forma semi-estruturada sete executivos brasileiros que trabalharam no México para confirmar as diferenças nos estilos gerenciais e levantar quais foram as dificuldades que eles tiveram por conta das mesmas. Finalmente, apresentamos essas diferenças e concluímos que, ainda que os estilos gerenciais de ambos os países sejam próximos – e isso se reflete nos rankings que ambos ocupam nas quatro dimensões de Hofstede – as diferenças trazem sim dificuldades que precisam ser levadas em conta para facilitar a adaptação e o sucesso nos desafios profissionais que os executivos brasileiros venham a empreender no México.

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We study the effects of a conditional transfers program on school enrollment and performance in Mexico. We provide a theoretical framework for analyzing the dynamic educational decision and process inc1uding the endogeneity and uncertainty of performance (passing grades) and the effect of a conditional cash transfer program for children enrolled at school. Careful identification of the program impact on this model is studied. This framework is used to study the Mexican social program Progresa in which a randomized experiment has been implemented and allows us to identify the effect of the conditional cash transfer program on enrollment and performance at school. Using the mIes of the conditional program, we can explain the different incentive effects provided. We also derive the formal identifying assumptions needed to provide consistent estimates of the average treatment effects on enrollment and performance at school. We estimate empirically these effects and find that Progresa had always a positive impact on school continuation whereas for performance it had a positive impact at primary school but a negative one at secondary school, a possible consequence of disincentives due to the program termination after the third year of secondary school.

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This research analyzes and compares the attractiveness of the Brazilian and Mexican credit card markets from a financial firm’s perspective. The market dynamics in Latin America’s two economic powerhouses are fleshed out with qualitative and quantitative data, using a strategic framework to structure the analysis. Since its adoption by both countries in 1956, credit card usage has experienced many years of double digit growth. However, penetration levels remain low compared with most developed countries. Brazil has a more developed credit card infrastructure, with more potential profit, and issuers might face fewer competitive challenges.  Alternatively, Mexico, is witnessing a more favorable economy, a friendlier business and regulatory environment, combined with fewer financial products that compete with the credit card. Therefore, this paper concludes that Brazil and Mexico both offer market opportunities for credit card companies that can navigate the different technological, demographic, macroeconomic, and regulatory shifts in each country.

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This doctoral dissertation provides a detailed analysis of the Brazilian cabinet according to the concepts of a multiparty presidential system. Appointing politicians as ministers is one of the most important coalition-building tools and has been widely used by minority presidents. This dissertation will therefore analyze the high-level Brazilian national bureaucracy between 1995 and 2014. It argues that the ministries – or departments – are not equal, and that allied parties therefore take into account the different characteristics of a ministry when demanding positions as a patronage strategy or for use as other kinds of political assets. After reviewing the literature on the theme, followed by a comparative analysis of the Brazilian, Chilean, Mexican, and Guatemalan cabinets, all the Brazilian ministries will be weighed and ranked on a scale that is able to measure their political importance and attractiveness. This rank takes into account variables such as the budgetary power, the ability to spend money according the ministers’ will, the ability to hire new employees, the ministries’ influence over other governmental agents such as companies, agencies, and so on, the ministers’ tenure in office. Finally, a proxy is provided that seeks to identify the normative power a department may hold. All of these characteristics will then be taken into account in considering the representatives’ opinion, thus helping to ascertain whether the cabinet appointment has been coalescent among the several parties that belong to the president’s coalition.

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BEZERRA, Márcia Maria de Oliveira. Estrategias de desenvolvimento do turismo: em busca de uma tipologia. Economia e Sociedade, Campinas, v. 15, n. 2, p. 347-374, ago. 2006.

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The dissertation intends to develop an investigation on the artistic existence in human beings with different bodies in society at different historical moments. In this regard and based on this scenario, the study develops a description of the stigmas production and how they are established, spread and interfere with the sociability among human beings regarded as normal and those with different bodies. Regarding the scenic arts, the text describes about the participation of artists with different bodies in the scene, specifically the freak show and postdramatic theater. The text also investigates aspects of the biography and the work of mexican artist Frida Kahlo, which underpin methodological proceedings and produce contribution to the creative process of performance Kahlo em mim Eu e(m) Kahlo , which is to investigate the practice of the scene in this dissertation

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Sea anemones contain a variety of biologically active substances. Bunodosoma caissarum is a sea anemone from the Cnidaria phylum, found only in Brazilian coastal waters. The aim of the present work was to study the biological effects of PLA(2) isolated from the sea anemone B. caissarum on the isolated perfused kidney, the arteriolar mesenteric bed and on insulin secretion. Specimens of B. caissarum were collected from the Sao Vicente Channel on the southern coast of the State of São Paulo, Brazil. Reverse phase HPLC analysis of the crude extract of B. caissarum detected three PLA(2) proteins (named BcPLA(2)1, BCPLA(2)2 and BcPLA(2)3) found to be active in B. caissarum extracts. MALDI-TOF mass spectrometry of BcPLA(2)1 showed one main peak at 14.7 kDa. The N-terminal amino acid sequence of BcPLA(2)1 showed high amino acid sequence identity with PLA(2) group III protein isolated from the Mexican lizard (PA23 HELSU, HELSU, PA22 HELSU) and with the honey bee Apis mellifera (PLA(2) and 1POC_A). In addition, BcPLA(2)1 also showed significant overall homology to bee PLA(2). The enzymatic activity induced by native BCPLA(2)1 (20 mu g/well) was reduced by chemical treatment with p-bromophenacyl bromide (p-BPB) and with morin. BcPLA(2)1 strongly induced insulin secretion in presence of high glucose concentration. In isolated kidney, the PLA(2) from B. caissarum increased the perfusion pressure, renal vascular resistance, urinary flow, glomerular filtration rate, and sodium, potassium and chloride levels of excretion. BcPLA(2)1, however, did not increase the perfusion pressure on the mesenteric vascular bed. In conclusion, PLA(2), a group III phospholipase isolated from the sea anemone B. caissarum, exerted effects on renal function and induced insulin secretion in conditions of high glucose concentration. (C) 2009 Elsevier Ltd. All rights reserved.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The regulation of the inflammatory response is essential to maintain homeostasis. Several studies have been performed to search new drugs that can contribute to avoiding or minimizing an excessive inflammatory process. The aim of this study was to evaluate the effect of extracts of green algae Caulerpa mexican in models of inflammation. In mice, the model of peritonitis induced inflammatory zymosan pretreatment of mice with aqueous and methanol extracts of C. mexican was able to reduce cell migration to the peritoneal cavity. Treatment of mice with extracts of C. mexican also reduced the ear edema induced by xylene and exerted inhibitory action on the migration of leukocytes in inflammation-induced zymosan the air pouch, and timedependent for the extracts tested in the model of ulcerative colitis induced by DSS 3%, the extract methanol, but not the aqueous C. mexican, significantly reduced the clinical symptoms of colitis, as well as the production of proinflammatory cytokines in the culture of mouse colon, in the histological analysis there was a slight reduction of inflammation in the intestinal mucosa. We concluded that the administration of the extracts resulted in the reduction of cell migration to different sites as well as reducing the edema formation induced by chemical irritant. This study demonstrates for the first time the antiinflammatory effect of aqueous and methanolic extracts from green marine algae Caulerpa mexican