Tootfinder

🇺🇦 #NowPlaying on KEXP's #MorningShow
Lush:
🎵 Sweetness and Light
#Lush
https://theblogthatcelebratesitself.bandcamp.com/track/vivienne-eastwood-sweetness-and-light
https://open.spotify.com/track/1Pr2b8WV0rFkSAjrnzUeDc

🇺🇦 #NowPlaying on KEXP's #PositiveVibrations
Clint Eastwood:
🎵 Africa We Want to Go
#ClintEastwood
https://reggaearchive.bandcamp.com/track/carol-kalphat-clint-eastwood-african-land-africa-we-want-to-go

🇺🇦 #NowPlaying on KEXP's #PositiveVibrations
Carol Kalphat:
🎵 African Land
#CarolKalphat
https://reggaearchive.bandcamp.com/track/carol-kalphat-clint-eastwood-african-land-africa-we-want-to-go
https://open.spotify.com/track/5vDGnNquGFfim3aw1qXT6a

Client Eastwood.

Zum Glück gibt es GIFs auf Telegram. Da macht es mindestens etwas Spass, mit Scamern zu plaudern. #scam

Data-Driven Bed Occupancy Planning in Intensive Care Units Using $M_t/G_t/\infty$ Queueing Models
Maryam Akbari-Moghaddam, Douglas G. Down, Na Li, Catherine Eastwood, Ayman Abou Mehrem, Alexandra Howlett
https://arxiv.org/abs/2510.02852

Data-Driven Bed Occupancy Planning in Intensive Care Units Using $M_t/G_t/\infty$ Queueing Models
Hospitals struggle to make effective long-term capacity planning decisions for intensive care units (ICUs) under uncertainty in future demand. Admission rates fluctuate over time due to temporal factors, and length of stay (LOS) distributions vary with patient heterogeneity, hospital location, case mix, and clinical practices. Common planning approaches rely on steady-state queueing models or heuristic rules that assume fixed parameters, but these methods often fall short in capturing real-worl…