Jorge J. Rocca - Fort Collins CO, US Bradley M. Luther - Fort Collins CO, US Brendan A. Reagan - Fort Collins CO, US Federico J.A. Furch - Fort Collins CO, US
Assignee:
XUV, Inc. - Fort Collins CO
International Classification:
H01S 3/0941
US Classification:
372 75
Abstract:
An extreme ultraviolet/soft x-ray laser driven by a compact solid-state chirped pulse amplification laser system entirely pumped by laser diodes is described. The solid-state pump laser generates compressed pulses of sub-10 ps duration with energy greater than 1 J at a chosen repetition rate in a cryogenically cooled Yb:YAG system. Lasing in the 18.9 nm line of Ni-like Mo was observed. The diode-pumped laser has the potential to greatly increase the repetition rate and average power of lasers having a variety of EUV/SXR wavelengths on a significantly smaller footprint.
High-Order Harmonic Generation In A Capillary Discharge
Jorge J. Rocca - Fort Collins CO, US Henry C. Kapteyn - Boulder CO, US Margaret M. Mumane - Boulder CO, US David Gaudiosi - Orlando FL, US Michael E. Grisham - Fort Collins CO, US Tenio V. Popmintchev - Boulder CO, US Brendan A. Reagan - Fort Collins CO, US
Assignee:
Colorado State University Research Foundation - Fort Collins CO Regents of the University of Colorado, a body corporate - Denver CO
International Classification:
H01S 3/03
US Classification:
372 61, 250504
Abstract:
A pre-ionized medium created by a capillary discharge results in more efficient use of laser energy in high-order harmonic generation (HHG) from ions. It extends the cutoff photon energy, and reduces the distortion of the laser pulse as it propagates down the waveguide. The observed enhancements result from a combination of reduced ionization energy loss and reduced ionization-induced defocusing of the driving laser as well as waveguiding of the driving laser pulse. The discharge plasma also provides a means to spectrally tune the harmonics by tailoring the initial level of ionization of the medium.
Diagnosing Hypoadrenocorticism From Hematologic And Serum Chemistry Parameters Using Machine Learning Algorithm
- Oakland CA, US Chen GILOR - Davis CA, US Brendan REAGAN - Fort Collins CO, US
Assignee:
The Regents of the University of California - Oakland CA
International Classification:
G16H 50/20 G16B 40/00 G16H 10/40 G06N 20/00
Abstract:
The invention is directed to a hypoadrenocorticism diagnostic tool including a computer device for executing a trained machine learning algorithm to analyze bloodwork parameters and determine a hypoadrenocorticism diagnosis based on the bloodwork parameters. The bloodwork parameters may include complete blood count and serum chemistry parameters. The computer device receives the bloodwork parameters associated with a patient and analyzes the bloodwork parameters using the trained machine learning algorithm. The computer device determines the hypoadrenocorticism diagnosis indicating whether the patient is positive or negative for hypoadrenocorticism using the trained machine learning algorithm, and displays the hypoadrenocorticism diagnosis on a graphical user interface.
Dr. Reagan graduated from the Louisiana State University School of Medicine at New Orleans in 2005. He works in Fort Worth, TX and 1 other location and specializes in Cardiovascular Disease. Dr. Reagan is affiliated with Texas Health Harris Methodist Hospital Cleburne, Texas Health Harris Methodist Hospital Fort Worth, Texas Health Harris Methodist Hospital Southwest Fort Worth, Texas Health