53 research outputs found
Oxidative Toxicity in Neurodegenerative Diseases: Role of Mitochondrial Dysfunction and Therapeutic Strategies
Besides fluorine, oxygen is the most electronegative element with the
highest reduction potential in biological systems. Metabolic pathways in
mammalian cells utilize oxygen as the ultimate oxidizing agent to harvest free
energy. They are very efficient, but not without risk of generating various oxygen
radicals. These cells have good antioxidative defense mechanisms to neutralize
these radicals and prevent oxidative stress. However, increased oxidative stress
results in oxidative modifications in lipid, protein, and nucleic acids, leading to
mitochondrial dysfunction and cell death. Oxidative stress and mitochondrial
dysfunction have been implicated in many neurodegenerative disorders including
Alzheimer's disease, Parkinson's disease, and stroke-related brain damage.
Research has indicated mitochondria play a central role in cell suicide. An
increase in oxidative stress causes mitochondrial dysfunction, leading to more
production of reactive oxygen species and eventually mitochondrial membrane
permeabilization. Once the mitochondria are destabilized, cells are destined to
commit suicide. Therefore, antioxidative agents alone are not sufficient to protect
neuronal loss in many neurodegenerative diseases. Combinatorial treatment with
antioxidative agents could stabilize mitochondria and may be the most suitable
strategy to prevent neuronal loss. This review discusses recent work related to
oxidative toxicity in the central nervous system and strategies to treat
neurodegenerative diseases
BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent
Hierarchical decision making problems, such as bilevel programs and
Stackelberg games, are attracting increasing interest in both the engineering
and machine learning communities. Yet, existing solution methods lack either
convergence guarantees or computational efficiency, due to the absence of
smoothness and convexity. In this work, we bridge this gap by designing a
first-order hypergradient-based algorithm for Stackelberg games and
mathematically establishing its convergence using tools from nonsmooth
analysis. To evaluate the \textit{hypergradient}, namely, the gradient of the
upper-level objective, we develop an online scheme that simultaneously computes
the lower-level equilibrium and its Jacobian. Crucially, this scheme exploits
and preserves the original hierarchical and distributed structure of the
problem, which renders it scalable and privacy-preserving. We numerically
verify the computational efficiency and scalability of our algorithm on a
large-scale hierarchical demand-response model
"Breathing" rogue wave observed in numerical experiment
Numerical simulations of the recently derived fully nonlinear equations of
motion for weakly three-dimensional water waves [V.P. Ruban, Phys. Rev. E {\bf
71}, 055303(R) (2005)] with quasi-random initial conditions are reported, which
show the spontaneous formation of a single extreme wave on the deep water. This
rogue wave behaves in an oscillating manner and exists for a relatively long
time (many wave periods) without significant change of its maximal amplitude.Comment: 6 pages, 12 figure
Avaliação de metodologias para estimativa da temperatura do ar para áreas de canola no Rio Grande do Sul.
Orientador: Genei Antonio Dalmago
NDVI da canola obtido com sensor Green Seeker e calculado a partir de dados hiperespectrais.
Orientador: Genei Antonio Dalmago
Variabilidade espacial dos atributos físicos e químicos de solo e planta na UP Uva para Vinho, Bento Gonçalves, RS.
Tecnologias de agricultura de precisão (AP) são pouco contempladas pelo setor primário para aumentar a qualidade e competitividade do vinho brasileiro. Por isso, esta pesquisa considera várias tecnologias de AP num vinhedo do cv. Merlot, clone 347, UP Uva para Vinho, localizado em Bento Gonçalves, RS. Neste resumo apresentam-se resultados preliminares relacionados à análise da variabilidade espacial dos atributos físicos e químicos de solo e planta, complementando o trabalho de Miele et al. (2011), também apresentado neste workshop. Os dados sugerem haver variabilidade espacial significativa para vários atributos, com boa correlação com as classes taxonômicas de solo (Argissolos, Cambissolos e Neossolos) e, em certos casos, dependência com o manejo realizado no vinhedo. Os próximos passos consistem em afinar a espacialização dos dados e definir métodos adequados de integração
Temperatura de flores e síliquas de canola (Brassica napus L.) durante ocorrência de geada.
Orientador: Genei Antonio Dalmago
Comparison between three-dimensional linear and nonlinear tsunami generation models
The modeling of tsunami generation is an essential phase in understanding
tsunamis. For tsunamis generated by underwater earthquakes, it involves the
modeling of the sea bottom motion as well as the resulting motion of the water
above it. A comparison between various models for three-dimensional water
motion, ranging from linear theory to fully nonlinear theory, is performed. It
is found that for most events the linear theory is sufficient. However, in some
cases, more sophisticated theories are needed. Moreover, it is shown that the
passive approach in which the seafloor deformation is simply translated to the
ocean surface is not always equivalent to the active approach in which the
bottom motion is taken into account, even if the deformation is supposed to be
instantaneous.Comment: 39 pages, 16 figures; Accepted to Theoretical and Computational Fluid
Dynamics. Several references have been adde
The Global Dynamics of Inequality (GINI) project: analysing archaeological housing data
The GINI project investigates the dynamics of inequality among populations over the long term by synthesising global archaeological housing data. This project brings archaeologists together from around the world to assess hypotheses concerning the causes and consequences of inequality that are of relevance to contemporary societies globally
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