Anatomical Sciences Education, Volume 18, Issue 3, Page 241-253, March 2025.Abstract This study describes the process of developing a high‐impact, low‐cost, and low‐maintenance air ventilation system for anatomy facilities. It employed the strategic application of Value Engineering (VE), assuring that the air ventilation system meets contemporary threshold limit values (TLVs) for formaldehyde in the working zone of dissection ...
Jürgen Russ, Niels Hammer
wiley +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems
Asian Journal of Control, EarlyView.Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi +2 more
wiley +1 more source
Sharp Conditions for the BBM Formula and Asymptotics of Heat Content-Type Energies. [PDF]
Arch Ration Mech AnalGennaioli L, Stefani G.
europepmc +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
Biotechnology and Bioengineering, EarlyView.ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
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Linear reflected backward stochastic differential equations arising from vulnerable claims in markets with random horizon. [PDF]
Adv Contin Discret ModelChoulli T, Alsheyab S.
europepmc +1 more source
Carbon Energy, EarlyView.This study introduces a newly discovered oxide path mechanism (OPM) for the oxygen evolution reaction (OER), emphasizing the role of in‐situ and operando characterization techniques in unraveling catalyst behavior under realistic conditions. The integration of advanced spectroscopic methods provides new mechanistic insights for the design of highly ...
Rabia Khalid +4 more
wiley +1 more source
A fractional-order approach to predator-prey interactions: Modeling fear and disease dynamics with memory effects. [PDF]
PLoS OneRahmi E +3 more
europepmc +1 more source
Minding the gap between artificial and biological computing paradigms for biologically loyal AI. [PDF]
Front Syst NeurosciKirkpatrick KL.
europepmc +1 more source
Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source