Government Actions and Their Relation to Resilience in Healthcare; What We See Is Not Always What We Get Comment on “Government Actions and Their Relation to Resilience in Healthcare During the COVID-19 Pandemic in New South Wales, Australia and Ontario, Canada”

This commentary reviews the publication by Smaggus et al published in the IJHPM in July 2021 on “Government Actions and Their Relation to Resilience in Healthcare During the COVID-19 Pandemic in New South Wales, Australia and Ontario, Canada” which analysed media releases to identify how governments contributed to resilience in healthcare (RiH). We suggest media releases might not be the best data to capture the mechanisms, activities and interactions through which government actions enhance or hinder RiH. RiH recognizes healthcare as a complex sociotechnical system, so studies into fostering capacity for RiH should be designed for complex sociotechnical systems. This means data should be derived from multiple sources to allow for diverse perspectives, and preferably include direct observations to capture the intricacies of backstage interactions

Signature of a three-dimensional photonic band gap observed on silicon inverse woodpile photonic crystals

We have studied the reflectivity of CMOS-compatible three-dimensional silicon inverse woodpile photonic crystals at near-infrared frequencies. Polarization-resolved reflectivity spectra were obtained from two orthogonal crystal surfaces corresponding to 1.88 pi sr solid angle. The spectra reveal broad peaks with high reflectivity up to 67 % that are independent of the spatial position on the crystals. The spectrally overlapping reflectivity peaks for all directions and polarizations form the signature of a broad photonic band gap with a relative bandwidth up to 16 %. This signature is supported with stopgaps in plane wave bandstructure calculations and with the frequency region of the expected band gap.Comment: 9 pages, 5 figure

Determinanten des perikardialen Fettgewebes und seine Bedeutung für das kardiometabolische Risiko

Ziel dieser Arbeit ist es die verschiedenen Determinanten des perikardialen Fettgewebes wie Alter, Geschlecht und Ernährungszustand zu untersuchen sowie die Beziehung des perikardialen Fettgewebes zu kardiometabolischen Risikofaktoren und Adipokinspiegeln zu analysieren

Risicoanalyse loont de moeite

no abstrac