Types and Annotations for CIDOC CRM Properties

The CIDOC CRM provides an extensive ontology for describing entities and properties appearing in cultural heritage (CH) documentation, history and archeology. CRM provides some means for describing information about properties (property types, attribute assignment, and "long-cuts") and guidelines for extending the vocabulary. However, these means are far from complete, and in some cases there is little guidance how to "implement" them in RDF. In this article we outline the problems, relate them to established RDF patterns and mechanisms, and describe several implementation alternatives

Machine Learning through Evolution: Training Algorithms through Competition

Machine learning is an important part of most current Artificial Intelligence applications as it allows programs to continually improve their performance without outside help. An important testing ground for machine learning algorithms is learning how to play a particular game. In fact, game-playing programs are considered to have advanced the field of AI significantly because they provide an easy way to measure the performance of an AI agent. This project focuses on the games Connect Four and Robocode. The game-playing agent uses a neural network as a heuristic function in a standard Min-Max tree search algorithm. The neural network is trained using particle swarm optimization, an algorithm based on the flocking behavior of birds and fish, in a tournament-style competition against other neural networks. The only game-specific information provided is whether a particular game was won, lost or resulted in a draw. Even with so little information, the algorithm shows that it\u27s capable of creating game-playing agents that are equal to or better than hand-designed programs. In addition, this project tries to extend this approach to games that are not turn-based perfect information games. The game of RoboCode, an educational game that pits AI tanks against each other, is used as a testing ground for the algorithm. Particle swarm optimization is used to train neural networks that perform the targeting subroutine of the tank. The score of the robot at the end of a battle is used as an indication of the performance of the neural network. Some results of this approach are presented, showing that the algorithm can successfully create aiming networks

Bacterial Community Sequences of Submerged Aquatic Vegetation in the Potomac River.

Here, we report results from PCR and sequencing of bacterial 16S rRNA genes from leaf and root surfaces from nine submerged aquatic vegetation (SAV) samples comprising five species. Samples were from four sites along the Potomac River

Case report of LCP pediatric hip osteosynthesis of a proximal femoral fracture in a child with marble bone disease

We present a case report demonstrating the experience of the department of pediatric orthopaedics of the University Orthopedic Hospital at Sofia Medical University in the treatment of an intertrochanteric proximal femoral fracture in a child with osteopetrosis. We performed open fracture reduction with stable 120° LCP (Locking Compression Plate) Pediatric hip osteosynthesis. Fracture consolidation and ability to walk without crutches was achieved in a half a year. The presented case is the first for Bulgaria. There are still no publications in the world literature on application of such osteosynthesis in marble bone disease.Key words: Osteopetrosis, pathologic intertrochanteric fracture, child, open reduction, LCP Paediatric Hi

Insights and approaches

Fluorescence spectroscopy has become an established tool at the interface of biology, chemistry and physics because of its exquisite sensitivity and recent technical advancements. However, rhodopsin proteins present the fluorescence spectroscopist with a unique set of challenges and opportunities due to the presence of the light-sensitive retinal chromophore. This review briefly summarizes some approaches that have successfully met these challenges and the novel insights they have yielded about rhodopsin structure and function. We start with a brief overview of fluorescence fundamentals and experimental methodologies, followed by more specific discussions of technical challenges rhodopsin proteins present to fluorescence studies. Finally, we end by discussing some of the unique insights that have been gained specifically about visual rhodopsin and its interactions with affiliate proteins through the use of fluorescence spectroscopy. This article is part of a Special Issue entitled: Retinal Proteins - You can teach an old dog new tricks

Periodic density functional study of Rh and Pd interaction with the (100)MgO surface

The adsorption geometry and electronic properties of palladium and rhodium atoms deposited on the regular (100)MgO surface were analyzed by means of periodic DFT calculations using local, gradient-corrected and hybrid (B3LYP) functionals. Spin-polarized computations revealed doublet spin state of Rh atom to be the most stable electronic state for the adsorbed rhodium atom on (100)MgO. The preferred adsorption site of the metal (Pd and Rh) atoms was found to be the site on top of the surface oxygen atoms. A relatively stable geometry for the adsorption of the Pd and Rh in a bridge position above the two surface oxygens was found as well. The electronic structures suggested partly covalent bonding with contribution from electrostatic attraction between the metal and the oxygen atoms for both optimized structures. Small charge transfer was obtained from the support to the Pd and Rh metal atoms. The calculations showed that rhodium was bound stronger to the substrate probably due to stronger polarization effects