5ª edição dos Prémios Ciências do Desporto, atribuídos pelo Comité Olímpico de Portugal (COP) e pela Fundação Millennium BCP, com a parceria da revista VISÃO. Este ano as categorias premiadas são “Treino Desportivo”, “Psicologia e Pedagogia do Desporto” e “Medicina do Desporto”.
Neurofeedback training of athletes is now the new agenda.
Manually scheduled Exam timetabling will be a task of the past, namely at ISEL-IPL and hopefully for most higher education institutions.
Musician is probably one interesting and close analogy model of scientific researcher a real bridge between art and science.
A musician needs inspiration to compose some new or innovative melody or music that pleases a world community (not only a specific part of it), have to present a finished result/product, likely a plethora of songs to fill a CD-Rom (around minimum 30 minutes of music, sometimes even a complete symphony or opera). All the instruments used chords and rhythm have to be meticulously organized in perfect timing and harmony etc etc
During concerts, one might have to adapt in real-time to the public reaction and probably even some improvisation needed to come out of trouble.
Actually it is harder than scientific research in requirements of personal aptitudes.
Lets welcome musicians to science field, SO ALL THIS IS TO INVITE YOU TO WATCH
A encrypted file written in Portuguese "secret.txt" can be found in www.VitalLibery.pt
Anyone want to try?
NeuroFeedback Training: Intensity analysis
Uso de Processadores Gráficos para Simulações baseadas em Agentes
Agent-based modelling is a programming and simulation paradigm. It is a bottom-up approach where
interacting agents are its basic building blocks. However, ABMs must undergo a process of independent implementation and verification to achieve credibility, where different replications of an ABM should provide similar
statistical results. Yet the reality is quite different and too often we observe many replications of a given model
presenting wildly different results. This may happen because ABMs are very sensitive to implementation details,
and the lack of a complete and formal model description often leaves researchers with the burden of creating
implementations based on personal interpretations of the model.
In this work we provide a complete description of the Heatbugs model based on its NetLogo implementation.
To accomplish this, we use the ODD protocol, which allows us to formalize the model so that future independent
replications are able to yield similar results. In addition, we provide results analysis for performance and
statistical alignment for two Heatbugs model replications: 1) a single threaded CPU implementation in C; and,
2) a parallel GPU implementation in OpenCL.
Molecular models of a protein’s structure can give detailed insight into mechanisms underlying its function, especially when viewed combined with sequence features.
In theory, 3D structural models are now available for many proteins, however in practice it is often complex to find all appropriate models and view them with sequence features. Thus it was developed Aquaria, a new web resource that provides 49 million pre-calculated structural models using homology from sequence to structure – 10 times more than currently available from other resources.
Using Aquaria we surveyed not only the visible proteome, but also the ‘unknown’ or ‘dark’ proteome, i.e., regions of proteins that remain stubbornly inaccessible to both experimental structure determination and modeling. Building upon a recent structural modeling study covering 546,000 proteins across many organisms, it was found 44–54% of the proteome in eukaryotes and viruses is dark, compared with only 14% for archaea and bacteria. Surprisingly, most dark proteins cannot be accounted for by (expected) conventional explanations, beside that the dark proteome has unexpected features.
Therefore, this work suggests several new directions for research in structural and computational biology. This work will help focus future research efforts to shed light on the remaining dark proteome.
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