From "Coffin Ship" to "Atlantic Greyhound"

An Investigation of SVM Regression to Predict Longshot Greyhound Races

In this paper we investigate the role of machine learning within the domain of Greyhound Racing. We test a Support Vector Regression (SVR) algorithm on 1,953 races across 31 different dog tracks and explore the role of a simple betting engine on a wide range of wager types. From this we triangulated our results on three dimensions of evaluation: accuracy, payout and betting efficiency. We found...

Net community production in the North Atlantic Ocean derived from Volunteer Observing Ship data

The magnitude of marine plankton net community production (NCP) is indicative of both the biologically driven exchange of carbon dioxide between the atmosphere and the surface ocean and the export of organic carbon from the surface ocean to the ocean interior. In this study the seasonal variability in the NCP of five biogeochemical regions in the North Atlantic was determined from measurements ...

Biases in Assessments of Probabilities: New Evidence from Greyhound Races

This paper investigates biases in the perceptions of probabilities using data from the 1989 and 1994 seasons at the Woodlands greyhound park in Kansas City, Kansas. Results reveal consistent evidence that the gambler’s fallacy exists. The results also reveal that gamblers overestimate the probability of a win by the favorite and the dog in the “lucky” seven position. However, the comparison als...

The Coffin-Lowry syndrome.

The Coffin-Siris syndrome.

We report a white female infant with typical features of Coffin-Siris syndrome including thick eyebrows, flat nasal bridge, anteverted, wide nose tip, generalised hypertrichosis, scalp hypotrichosis, absence of the fifth fingernails and toenails, absence of the distal phalanges of the fifth fingers and of the second to fifth toes, small patellae, inguinal hernia, and sucking and feeding difficu...