Charalambos Chrysostomou

TL;DR: The latest version of the BioMart Community Portal comes with many new databases that have been created by the ever-growing community and comes with better support and extensibility for data analysis and visualization tools.

TL;DR: As the results presented, protein classes can present similarities or differences according to the features extracted from CISAPS web server, which are probable to be related with the protein feature that the specific amino acid index represents.

TL;DR: A purely data-driven modelling approach using deep convolutional neural networks is discussed in the context of Large Eddy Simulation (LES) of turbulent premixed flames, demonstrating with success for both the sub-grid scale progress variable variance and the filtered reaction rate.

TL;DR: Deep learning autoencoders for the unsupervised recognition of phase transitions in physical systems formulated on a lattice are investigated and it is demonstrated that T_c(L) extrapolates to the known theoretical value as L \to \infty suggesting that the autoencoder can also be used to extract the critical temperature of the phase transition to an adequate precision.

TL;DR: It is shown here how to explore the potential correlation between prenatal stress and early age at death, as well as any possible correlation between postnatal physiological stress andEarly age atdeath, through the occurrence, number and peaks in frequencies of developmental defects in human deciduous enamel microstructure, as observed in thin sections of human mandibular deciduously canine teeth.