Toward a Machine Learning Approach to Interpreting X-ray Spectra of Trace Impurities by Converting XANES to EXAFS.

The fact that the photoabsorption spectrum of a material contains information about the atomic structure, commonly understood in terms of multiple scattering theory, is the basis of the popular extended X-ray absorption spectroscopy (EXAFS) technique. How much of the same structural information is present in other complementary spectroscopic signals is not obvious. Here we use a machine learning approach to demonstrate that within theoretical models that accurately predict the EXAFS signal, the extended near-edge region does indeed contain the EXAFS-accessible structural information.

Black in Robotics: Improving community and equity in the field of robotics.

Black in Robotics, a nonprofit organization, has had recent success, but it is the ongoing community participation that will sustain its efforts.

Pediatric Prescribers' Knowledge of the Ew Meds List and Taste Masking.

Objective: The primary objective of this study was to determine pediatric prescribers' knowledge and confidence in identifying bad tasting liquid medications. The secondary objective examined the techniques used to mask the taste of liquid medications and whether any of the masking techniques recommended by prescribers were reported to be effective in children.

Methods: Nationally, health care prescribers were invited to participate in an online survey about medication tastes and masking practices.

Retrospective Comparison of Early Versus Late Initiation of Long-Acting Insulin in Critically Ill Pediatric Patients in Diabetic Ketoacidosis.

Objective: Determine whether early administration (EA) of long-acting insulin in pediatric diabetic -ketoacidosis (DKA) reduces time to acidosis resolution while maintaining safety when compared with late administration (LA).

Methods: This retrospective review compared EA (within 4 hours) to LA (4 to 24 hours) of long-acting insulin in DKA management in the pediatric intensive care unit between 2015 and 2022. Admissions were excluded for patients ≥18 years of age, without type 1 diabetes, with insufficient laboratory data, or who did not receive insulin glargine within 24 hours of starting treatment.