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Research Article 

Identifying Latent Semantics in Action Games for Player Modeling

Katia Lida Kermanidis

Abstract

Machine learning approaches to player modeling traditionally employ high-level game-knowledge-based features for representing game sessions, and often player behavioral features as well. The present work makes use of generic low-level features and latent semantic analysis for unsupervised player modeling, but mostly for revealing underlying hidden information regarding game semantics that is not easily detectable beforehand.

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Research Article 

Scan Transcription of Two-Dimensional Shapes as an Alternative Neuromorphic Concept

Ernest Greene and Yash Patel

Abstract

A similarity response is only one of many kinds of response we can elicit from a subject, by suitable manipulation of the number and variety of the stimuli presented, and by instructions to make one sort of decision or choice rather than another. Robert A Gregson.

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Communication 

What Constitutes Elemental Shape Information for Biological Vision?

Ernest Greene and Onyinye Onwuzulike

Abstract

The part itself would be seen not as a "part" of some earlier figure but as a self-sufficient whole in its own right Friedrich Wulf. We do not yet understand how the vertebrate visual system provides for recognition of objects.

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Research Article 

A Hybrid Flower Pollination and Genetic Algorithm for Minimizing the Non-Convex Potential Energy of Molecular Structure

Mohamed A Tawhid and Ahmed F Ali

Abstract

Minimizing the molecular potential energy function is a real-life problem which can help to predict the three-dimensional structure of the protein by knowing its steady state of the molecules. In this paper, we propose a new hybrid algorithm by combining the flower pollination algorithm and the genetic algorithm in order to minimize a simplified model of the energy function of the molecule.

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Research Article 

Key Amino Acids in Understanding Evolutionary Characterization of Mn/Fe-Superoxide Dismutase: A Phylogenetic and Structural Analysis of Proteins from Corynebacterium and Hosts

Alberto Oliveira1, Pammella Teixeira, Debmalya Barh, Preetam Ghosh and Vasco Azevedo

Abstract

Superoxide dismutases (SODs) are enzymes widely observed in nature and commonly studied to understand the protection of reactive oxygen species (ROS). This work aims to understand the conservation of and correlation among the enzymes from pathogens and hosts, using coevolution analysis of amino acids in Mn/Fe-Superoxide Dismutase.

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