Results 121 to 130 of about 2,574 (191)
Schematic of the in‐line rheometry setup and the evaluation of three distinct modeling frameworks (semiempirical, viscoelastic, and EOS) to predict viscosity reduction in diluted polyethylene melts via time‐concentration superposition (Illustration generated via ChatGPT).
Ernst Georg Viehböck +5 more
wiley +1 more source
Deciphering cell-fate trajectories using spatiotemporal single-cell transcriptomic data. [PDF]
Zhang Z +6 more
europepmc +1 more source
Negative Stiffness Induced and Controlled by Constriction
Structures with negative stiffness can be stabilized by constriction of external displacement. Furthermore, constriction can make a conventional positive stiffness material exhibit negative stiffness, either bidirectional or unidirectional (shown in the figure).
Elena Pasternak, Arcady V. Dyskin
wiley +1 more source
Enhanced exploration in reinforcement learning using graph neural network based intrinsic reward mechanism. [PDF]
Pandian JA +2 more
europepmc +1 more source
Active packaging offers an effective approach to extending food shelf life. This review summarizes the past decade of progress in metal‐organic framework (MOF)‐based active food packaging, highlighting material selection, characterization, challenges, and future prospects.
Belladini Lovely +4 more
wiley +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
Park morphology and urban structure for active living: a suburban case from Seongnam City. [PDF]
Park K, Lee J, Shin Y.
europepmc +1 more source
Loss Behavior in Supervised Learning With Entangled States
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl +4 more
wiley +1 more source
Large-<i>n</i> asymptotics for Weil-Petersson volumes of moduli spaces of bordered hyperbolic surfaces. [PDF]
Hide W, Thomas J.
europepmc +1 more source

