Results 201 to 210 of about 1,535,020 (310)

A multiscale Bayesian optimization framework for process and material codesign

AIChE Journal, EarlyView.
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley   +1 more source

Implementing home telehealth monitoring in patients with a chronic disease: a budget impact analysis

International Journal of Integrated Care, 2013
Gemma Shields, Ann-Marie Chapman
doaj  

Accuracy of Budget Impact Projections in Bulgarian Health Technology Assessment: A Five-Year Validation Study (2020-2025). [PDF]

Healthcare (Basel)
Kostadinov K, Raycheva R, Zdravkova-Aneva I, Shopova M, Ovchinnikov E, Petkov P.   +5 more
europepmc   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, EarlyView.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Balancing innovation and affordability in relapsing-remitting multiple sclerosis: a budget impact analysis from Saudi Arabia. [PDF]

Front Public Health
Al-Jedai A, Almudaiheem H, Al-Suweidan F, Jumah MA, Al-Thobaiti A, Alzureiqan F, Abu Ras W, Al-Dosari FM, Malik YA, Dhopte P, Ojeil R.   +10 more
europepmc   +1 more source

A trust‐region funnel algorithm for gray‐box optimization

AIChE Journal, EarlyView.
Abstract Gray‐box optimization, where parts of optimization problems are represented by algebraic models while others are treated as black‐box models lacking analytic derivatives, remains a challenge. Trust‐region (TR) methods provide a robust framework for gray‐box problems through local reduced models (RMs) for black‐box components, but they are ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Availability, cost, and budget impact of lifesaving postpartum hemorrhage interventions in public hospitals in Zambia: A cross-sectional survey. [PDF]

Int J Gynaecol Obstet
Kapesa H, Manasyan A, Muttau N, Sinkey RG, Gallos I, Tembo T.   +5 more
europepmc   +1 more source

Sequential Monte Carlo with likelihood tempering and parallel implementation for uncertainty quantification

AIChE Journal, EarlyView.
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi, Tomoyuki Yajima, Yoshiaki Kawajiri   +2 more
wiley   +1 more source

Budget Impact Analysis of Lebrikizumab for Treating Severe Atopic Dermatitis. [PDF]

Dermatol Ther (Heidelb)
Antonazzo IC, Girolomoni G, Patruno C, Langella R, Ottobrino V, Mantovani LG, Cortesi PA.   +6 more
europepmc   +1 more source

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

AIChE Journal, EarlyView.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis   +3 more
wiley   +1 more source