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
A converse comparison theorem for backward stochastic differential equations with jumps
This paper establishes a converse comparison theorem for real-valued backward stochastic differential equations with jumps.Backward stochastic differential equation with jumps Comparison theorem Converse comparison ...
De Scheemaekere, Xavier
core
Abstract Human body prosection practices are a crucial educational tool for learning anatomy. However, the first exposure to donors' material can cause anxiety, which may affect students' learning experiences and emotional adjustment. This observational study aimed to analyze anxiety levels (state and trait) before and after a prosection session in ...
Mónica Grande‐Alonso +8 more
wiley +1 more source
A two-species competition model on a compact metric graph for the invasion and competition of Aedes Aegypti and Aedes Albopictus mosquitoes in Florida. [PDF]
Tian C, Zou L, Ruan S.
europepmc +1 more source
Design of discrete PI‐PR2 controllers for time‐delayed systems using dominant pole placement method
Abstract This paper presents a new controller structure known as the proportional‐integral proportional‐double‐retarded (PI‐PR2) designed for discrete‐time systems with time delay. The dominant pole placement technique, which is frequently encountered in control systems, is used as the primary design method. The design method starts that dominant poles
Ayşe Duman Mammadov +2 more
wiley +1 more source
A theoretical and computational study of the fractional Brusselator system with neural network validation. [PDF]
Ahmad S +5 more
europepmc +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
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
Comparing Two Categorical Gini Correlations with Applications to Classification Problems. [PDF]
Hewage S, Sang Y.
europepmc +1 more source
Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems
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
Parabolic PDEs with Dynamic Data under a Bounded Slope Condition. [PDF]
Bögelein V, Duzaar F, Treu G.
europepmc +1 more source

