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Challenges in Stellar Population Studies
The stellar populations of galaxies contain a wealth of detailed information.
From the youngest, most massive stars, to almost invisible remnants, the
history of star formation is encoded in the stars that make up a galaxy.
Extracting some, or all, of this informationhas long been a goal of stellar
population studies. This was achieved in the last couple of decades and it is
now a routine task, which forms a crucial ingredient in much of observational
galaxy evolution, from our Galaxy out to the most distant systems found. In
many of these domains we are now limited not by sample size, but by systematic
uncertainties and this will increasingly be the case in the future.
The aim of this review is to outline the challenges faced by stellar
population studies in the coming decade within the context of upcoming
observational facilities. I will highlight the need to better understand the
near-IR spectral range and outline the difficulties presented by less well
understood phases of stellar evolution such as thermally pulsing AGB stars,
horizontal branch stars and the very first stars. The influence of rotation and
binarity on stellar population modeling is also briefly discussed.Comment: Plenary review talk at IAU GA in Rio de Janeiro to be published in
the proceedings of IAU Symposium 262. Movies and talk slides available at
http://www.strw.leidenuniv.nl/~jarle/IAU0
Developmental dyscalculia and mathematics anxiety: Large population studies
I will review our recent projects which examined a cognitive mathematical deficit (developmental dyscalculia) and an emotional block of mathematical performance (mathematics anxiety) in children. First, in a large study (n=1004) have contrasted several theories of developmental dyscalculia, and found that it was related to weak visuo-spatial memory and weak inhibition skills. In a follow-up study (n=1800) we found that mathematics anxiety was negatively associated with mathematical performance. Most importantly, developmental dyscalculia and mathematics anxiety showed strong dissociation. This suggests that cognitive and emotional blocks of mathematical development need different interventions. Girls were especially prone to developing mathematics anxiety in various countries (Italy, Colombia). I will point to the educational and practical relevance of our studies.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec
Fish Population Studies
Generally, we hear such questions as "what is the magnitude of our oil sardine or
mackerel resources?" "Can we get more catch from these resources?" It is, therefore,
proper that we carefully examine what is meant by a fishery resource e. g., oil sardine or
mackerel resource. A fishery resource is just like any other natural resource (e. g., mineral
resource, hydro-electric resource etc.) which is exploited by man. But at the same time,
it differs considerably to character from other types like mineral resources. The coal resource
in a region is limited in magnitude, even though sometimes we do not know the
magnitude. From this fixed resource we can exploit at any desired rate. The resource will
be completely exhausted after a period of time depending on the rate of exploitation. In
this sense a mineral resource can be described as a non-renewable natural resource which is
liable to get exhausted after some period of time. It is also a static resource because we
always know how much of the resource remains, once we know how much has been removed.
A fishery resource is very much different in character. It is a self-regulating renewable
natural resource. Consider a fish population occupying a certain area of the sea. Now
when a certain portion of the population is removed, the remaining portion in the habitat
gets better food, more area to move about, and this results in faster growth rate, lesser
mortality rates and also the spawns get better chance of survival- The result is that the
resource resuscitates itself quickly. Apart from fishing, the population is also affected by
many other fishery-independent environmental factors such as available food supply, change
in salinity, temperature of the water, change in ocean-currents etc. Thus the fishery resource
is a dynamic resource, ever changing due to impact of fishing and other fishery-independent
factors
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