454 research outputs found

    The Burden of Cysticercosis

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    Inverse photoemission with energy resolution better than 200 meV

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    Análise estrutural de remanescentes da Floresta Ombrófila Mista sob diferentes intensidades de usos da terra.

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    Editores técnicos: Marcílio José Thomazini, Elenice Fritzsons, Patrícia Raquel Silva, Guilherme Schnell e Schuhli, Denise Jeton Cardoso, Luziane Franciscon. EVINCI. Resumos

    Distant and close reading in literature: a case of networks in Periodical Studies

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    The question of how to read, and specifically the opposed approaches of distant and close reading has long been contentious in the humanities and specifically in the field of literary studies. In practice, computational tools are increasingly implemented by scholars, resulting in a constantly evolving debate around the reading of research objects. This article approaches the contemporary climate through the lens of network studies, focusing on various ways networks are being used and can be used in humanities research: modelling information as relational, visualizing networks, and implementing quantitative network analysis. We argue that in practice, distant and close reading necessarily coexist and are methodological approaches that answer different yet complementary research questions. This is explained through three types of applications of network studies which focus on periodicals: close reading and network visualisations, close reading and network visualisations and analysis, and the computational generation of networks from databases for exploring relational phenomena with network analysis. We assert that there is a need for greater awareness and transparency about the role different approaches play in present-day research. Instead of pitting these two approaches against one another, we urge researchers to consider the mutual benefits of reading practices in order to facilitate a conversation on the value and role of different technologies and ways of reading in the humanities

    RAD54 family translocases counter genotoxic effects of RAD51 in human tumor cells.

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    The RAD54 family DNA translocases have several biochemical activities. One activity, demonstrated previously for the budding yeast translocases, is ATPase-dependent disruption of RAD51-dsDNA binding. This activity is thought to promote dissociation of RAD51 from heteroduplex DNA following strand exchange during homologous recombination. In addition, previous experiments in budding yeast have shown that the same activity of Rad54 removes Rad51 from undamaged sites on chromosomes; mutants lacking Rad54 accumulate nonrepair-associated complexes that can block growth and lead to chromosome loss. Here, we show that human RAD54 also promotes the dissociation of RAD51 from dsDNA and not ssDNA. We also show that translocase depletion in tumor cell lines leads to the accumulation of RAD51 on chromosomes, forming complexes that are not associated with markers of DNA damage. We further show that combined depletion of RAD54L and RAD54B and/or artificial induction of RAD51 overexpression blocks replication and promotes chromosome segregation defects. These results support a model in which RAD54L and RAD54B counteract genome-destabilizing effects of direct binding of RAD51 to dsDNA in human tumor cells. Thus, in addition to having genome-stabilizing DNA repair activity, human RAD51 has genome-destabilizing activity when expressed at high levels, as is the case in many human tumors

    Economic Impact of Cystic Echinococcosis in Peru

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    Cystic echinococcosis (CE), caused by infection with the larval stage of the cestode Echinococcus granulosus, constitutes an important public health problem in Peru. Despite its high prevalence in endemic communities no studies have attempted to estimate the economic impact of CE in Peruvian society. We used official and published sources of epidemiological and economic information to estimate direct and indirect costs associated with livestock production losses and human disease. We also used disability adjusted life years (DALYs) which is an overall measure of disease burden, expressed as number of years lost due to ill-health, disability or early death due to CE. We found that the total estimated cost of human CE in Peru was U.S.2,420,348peryear.TotalestimatedlivestockassociatedcostsduetoCErangedfromU.S.2,420,348 per year. Total estimated livestock-associated costs due to CE ranged from U.S.196,681 to U.S.$3,846,754. An estimated 1,139 DALYs were also lost due to surgical cases of CE which is comparable to DALY losses from Amebiasis or Malaria in Peru. This conservative assessment found significant economic losses caused by this CE in Peruvian society. The findings of this study are important as these data can serve to prioritize those areas that may need to be targeted in a control program

    Modeling the spatial distribution of African buffalo (Syncerus caffer) in the Kruger National Park, South Africa

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    The population density of wildlife reservoirs contributes to disease transmission risk for domestic animals. The objective of this study was to model the African buffalo distribution of the Kruger National Park. A secondary objective was to collect field data to evaluate models and determine environmental predictors of buffalo detection. Spatial distribution models were created using buffalo census information and archived data from previous research. Field data were collected during the dry (August 2012) and wet (January 2013) seasons using a random walk design. The fit of the prediction models were assessed descriptively and formally by calculating the root mean square error (rMSE) of deviations from field observations. Logistic regression was used to estimate the effects of environmental variables on the detection of buffalo herds and linear regression was used to identify predictors of larger herd sizes. A zero-inflated Poisson model produced distributions that were most consistent with expected buffalo behavior. Field data confirmed that environmental factors including season (P = 0.008), vegetation type (P = 0.002), and vegetation density (P = 0.010) were significant predictors of buffalo detection. Bachelor herds were more likely to be detected in dense vegetation (P = 0.005) and during the wet season (P = 0.022) compared to the larger mixed-sex herds. Static distribution models for African buffalo can produce biologically reasonable results but environmental factors have significant effects and therefore could be used to improve model performance. Accurate distribution models are critical for the evaluation of disease risk and to model disease transmission
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