When pneumonia becomes a double congenital diaphragmatic hernia

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Tratamento químico de sementes de trigo para o controle de Bipolaris sorokiniana.

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Narcolepsy with cataplexy in monozygotic twins

AbstractIntroduction: This paper describes narcolepsy with cataplexy in two monozygotic twin sisters.Objective: To clinically illustrate the involvement of neurological, genetic and immunologic systems in narcolepsy.Material and methods: We performed a restropective study of these patients that were followed in the sleep medicine ambulatory clinic of the Faculdade de Medicina de Ribeirao Preto.Results: These sisters are two of the few cases in the literature concordant for narcolepsy with catalepsy and without a “positive HLA” for narcolepsy. They had a typical clinical course of narcolepsy with cataplexy and attended all the neurophysiological diagnostic criteria for narcolepsy.Conclusion: In addition to known possible genetical similarity, this report stresses the role of environmental or unknown genetical factors acting on a specific neuro-imuno-genetical background and resulting in narcolepsy

NUMERICAL INVESTIGATION OF HEAT TRANSFER IN A TURBULENT FLOW IN CHANNELS WITH GAP

Turbulent flow in channels with gap is still a challenge for engineering. The velocity fluctuations and the appearance of coherent structures have been playing a major role in forced convective heat transfer process between the warm tube walls and the cooling fluid. In this paper numerical simulation of non-isothermal turbulent flow in a rectangular channel containing only one tube was performed. Unsteady Reynolds Navier-Stokes along with the energy equation were applied to model the problem. In order to overcome the closure problem the turbulence was modeled applying SAS model. The simulated geometry consists of a heated cylindrical tube, placed 10 mm from the bottom wall of the rectangular duct. The fluid flows externally to the heated tube along the mainstream direction. The channel’s length was based on the tube diameter, yielding L/D equal 80

Future climatic impacts on soybean yields in South America and its consequences on agricultural markets

Whilst used in all continents, the majority of soybean production takes place in specific regions. This causes the supply chain to be highly vulnerable to local climate shocks. With a changing climate, the impacts on crop productivity are expected to change as well. Crop models are commonly used to address the relation between climate and agriculture, simulating biophysical processes and estimating crop yields at a gridded location. However, they underestimate the impacts of extreme climatic conditions. In this study, a process-based crop model EPIC-IIASA is combined with a machine learning model to analyse the impact of future extreme weather events on soybean yields under different climate scenarios. The crop model outputs, such as simulated soybean yield, together with extreme climatic indices during the soybean growing season are used as input into a machine learning model that is trained on observed soybean yields. The coupling of crop model and machine learning model leads to a hybrid model that improves the crop model’s ability to represent extreme weather conditions and to translate these into yield anomalies and shocks. These events are subsequently provided as input to GLOBIOM to analyse the socio-economic and market impact of extreme climate events on soybean production. We show the hybrid model can significantly improve the overall performance of the crop model, with an increased interannual variability representation, especially for extreme climatic conditions. We find low precipitation values to be responsible for low yields in the region. The global warming scenarios suggest weather shocks will likely become more frequent and intense, especially for high-emission scenarios and especially in the medium to long term. The socio-economic impacts demonstrate a non-linear relationship to the bio-physical impacts, with metrics like price per ton of soybean being significantly amplified

Formal analogies between gravitation and electrodynamics

We develop a theoretical framework that allows us to compare electromagnetism and gravitation in a fully covariant way. This new scenario does not rely on any kind of approximation nor associate objects with different operational meaning as it's sometime done in the literature. We construct the electromagnetic analogue to the Riemann and Weyl tensors and develop the equations of motion for these objects. In particular, we are able to identify precisely how and in what conditions gravity can be mapped to electrodynamics. As a consequence, many of the gemometrical tools of General Relativity can be applied to Electromagnetism and vice-versa. We hope our results would shed new light in the nature of electromagnetic and gravitational theories.Comment: 9pages, submitted to General Relativity and Gravitatio

Soil organic carbon stocks under pasture atlantic forest in Rio de Janeiro state, Brazil.

The objective of this study is to perform a comparative analysis of the soil carbon stock under pasture (Brachiaria spp) and semideciduous broadleaf Atlantic Forest fragments

Cosmological Effects of Nonlinear Electrodynamics

It will be shown that a given realization of nonlinear electrodynamics, used as source of Einstein's equations, generates a cosmological model with interesting features, namely a phase of current cosmic acceleration, and the absence of an initial singularity, thus pointing to a way to solve two important problems in cosmology