KALYPSO is a novel detector operating at line rates above 10 Mfps. It consists of a detector board connected to FPGA based readout card for real time data processing. The detector board holds a Si or InGaAs linear array sensor, with spectral sensitivity ranging from 400 nm to 2600 nm, which is connected to a custom made front-end ASIC. A FPGA readout framework performs the real time data processing. In this contribution, we present the detector system, the readout electronics and the heterogeneous infrastructure for machine learning processing. The detector is currently in use at several synchrotron facilities for beam diagnostics as well as for single-pulse laser characterizations. Thanks to the shot-to-shot capability over long time scale, new attractive applications are open up for imaging in biological and medical research.
Writing is an important tool in the process of learning and communication. Many universities across the United States recognize the importance of implementing writing into respective learning disciplines through a number of approaches. A respiratory therapy program at a large urban university recently assimilated a writing intensive course into their baccalaureate curriculum over a two-year period. A faculty member and a graduate teaching assistant planned as co-instructors various writing assignments that would incorporate writing as an activity to promote critical thinking and learning. The instructors made a dedicated effort to improve professional communication skills through various writing-to-learn strategies and observed the students appreciating an opportunity to be creative.
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