4,788 research outputs found
Internet Marketing for the Wine Business
Apresentação realizada no âmbito do InSITE 2013, Porto, 2 a 5 de julho 2013A keynote presentation about the use of Internet marketing for the wine industr
Orbit Representations from Linear mod 1 Transformations
We show that every point carries a representation of a
-algebra that encodes the orbit structure of the linear mod 1 interval map
. Such -algebra is generated by
partial isometries arising from the subintervals of monotonicity of the
underlying map . Then we prove that such representation is
irreducible. Moreover two such of representations are unitarily equivalent if
and only if the points belong to the same generalized orbit, for every
and
A discussion on different techniques for GIS data collecting, precision, accuracy and quality of database
Nowadays, is a common sense the importance of geotechnologies in urban planning, transportation engineering and other different areas of knowledge. The Geographic Information System (GIS) is one of the geotechnologies that has been used increasingly. The collection of information and creation of a database are the most expensive, complex and important task in a GIS project. The collection of information results from the direct and indirect measurement of the real world. The reason for creating databases is to register and the maintain the different sources of collecting information. This paper has the objective to present the different techniques for data collection as input in GIS, as well as a brief discussion on the cost associated with the collection of data. Furthermore, comments on precision, accuracy and the quality of database are given.
Backward stochastic differential equation approach to modeling of gene expression
In this article, we introduce a novel backward method to model stochastic
gene expression and protein level dynamics. The protein amount is regarded as a
diffusion process and is described by a backward stochastic differential
equation (BSDE). Unlike many other SDE techniques proposed in the literature,
the BSDE method is backward in time; that is, instead of initial conditions it
requires the specification of endpoint ("final") conditions, in addition to the
model parametrization. To validate our approach we employ Gillespie's
stochastic simulation algorithm (SSA) to generate (forward) benchmark data,
according to predefined gene network models. Numerical simulations show that
the BSDE method is able to correctly infer the protein level distributions that
preceded a known final condition, obtained originally from the forward SSA.
This makes the BSDE method a powerful systems biology tool for time reversed
simulations, allowing, for example, the assessment of the biological conditions
(e.g. protein concentrations) that preceded an experimentally measured event of
interest (e.g. mitosis, apoptosis, etc.).Comment: Accepted in Physical Review
Memória da obra de Eiffel em Portugal
Livro de homenagem à professora Maria Emília Ricardo Marque
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