Background: PSAIA (Protein Structure and Interaction Analyzer) was developed to compute geometric parameters for large sets of protein structures in order to predict and investigate protein-protein interaction sites.

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There is a large variety of lecture capture forms being used today when considering their content and ways in which that content is being reproduced. The objective of this study was therefore to investigate the students' perception and the learning potential of lecture captures enriched using additional learning contents compared to lecture captures containing only the video and audio recording of the lecturer and his slideshow. In an experiment in which students were learning using each of those two types of learning materials, a slight yet unsignificant difference was observed in favour of learning from rich lecture captures. Students' survey responses indicated they prefer rich lecture captures for learning and that their availability would not necessarily have a negative impact on students' live lecture attendance rates. These results suggest that even though students prefer rich lecture capture materials for learning, they did not prove to be more efficient in achieving the desired learning outcomes. Additional research would be needed to verify this conclusion on more complex subjects.

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In this paper, we provide an insight into the emergence of power-law and two-phase behavior in the financial market fluctuations by defining an analytical model for time evolution of stock share prices. The defined model can exhibit bimodal behavior in the supply-demand structure of the market. Moreover, it differs from existing Ising-type models. It turns out that the constructed model is a solution of a thermodynamic limit of a Gibbs probability measure when the number of investors and the number of stock shares approaches the infinity. The energy functional of the Gibbs probability measure is derived from the Nash equilibrium of the underlying game.