The use of scintillometers to determine sensible heat fluxes is now common in studies of land-atmosphere interactions. The main interest in these instruments is due to their ability to quantify energy distributions at the landscape scale, as they can calculate sensible heat flux values over long distances, in contrast to Eddy Covariance systems. However, scintillometer data do not provide a dir...

The Bowen-York family of spinning black hole initial data depends essentially on one, positive, free parameter. The extreme limit corresponds to making this parameter equal to zero. This choice represents a singular limit for the constraint equations. We prove that in this limit a new solution of the constraint equations is obtained. These initial data have similar properties to the extreme Ker...

1998–2011 Dreams of teaching Kerisha Bowen was born in Trinidad and moved to Toronto before her family finally settled Pennsylvania. A good student, wanted be a professor. She majored chemistry at Lincoln University, then earned an MS PhD Temple University as part program help students from underrepresented groups enter academic careers. Her first job, assistant professor Penn State Brandywine,...

BACKGROUND Photodynamic therapy (PDT) using topical delta-aminolevulinic acid (delta-ALA) is an effective treatment for Bowen disease and certain basal cell carcinomas (BCCs), but its place in clinical practice remains to be established. Patients with large and/or multiple lesions of Bowen disease or BCC can represent a considerable therapeutic challenge. We suggest that delta-ALA PDT may be of...

A class of vacuum initial-data sets is described which are based on certain expressions for the extrinsic curvature first studied and employed by Bowen and York. These expressions play a role for the momentum constraint of General Relativity which is analogous to the role played by the Coulomb solution for the Gauss-law constraint of electromagnetism.

This work studies the control of robots in the adversarial world of “Hunt the Wumpus”. The hybrid learning algorithm which controls the robots behavior is a combination of a modified RPNI algorithm, and a utility update algorithm. The modified RPNI algorithm is a DFA learning algorithm, to learn opponents’ strategies. An utility update algorithm is used to quickly derive a successful conclusion...