Results 51 to 60 of about 1,346,541 (251)
FEBS Open Bio, EarlyView.This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake +4 more
wiley +1 more source
Recursive nonlinear-system identification using latent variables [PDF]
at - Automatisierungstechnik, 2016 In this paper we develop a method for learning nonlinear systems with multiple outputs and inputs. We begin by modelling the errors of a nominal predictor of the system using a latent variable framework.
Per Mattsson, D. Zachariah, P. Stoica
semanticscholar +1 more source
Identification of Nonlinear Systems [PDF]
2017 European Conference on Electrical Engineering and Computer Science (EECS), 2017 In this work, the problem of identifying nonlinear systems is proposed. This latter is structured by Wiener systems. This latter (Wiener models) consist of linear dynamic subsystem followed by a nonlinearity function. The nonlinear systems identification is an active research area.
Adil Brouri +2 more
openaire +2 more sources
Identification of High-Order Nonlinear Coupled Systems Using a Data-Driven Approach
Applied SciencesMost works related to the identification of mathematical nonlinear systems suggest that such approaches can always be directly applied to any nonlinear system. This misconception is greatly discouraging when the obtained results are not expected.
Rodolfo Daniel Velázquez-Sánchez +4 more
doaj +1 more source
FEBS Open Bio, EarlyView.Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
Sparse Bayesian Nonlinear System Identification Using Variational Inference
IEEE Transactions on Automatic Control, 2018 Bayesian nonlinear system identification for one of the major classes of dynamic model, the nonlinear autoregressive with exogenous input (NARX) model, has not been widely studied to date.
William R. Jacobs +3 more
semanticscholar +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Frontiers in Computational Neuroscience, 2017 Dynamic joint stiffness determines the relation between joint position and torque, and plays a vital role in the control of posture and movement. Dynamic joint stiffness can be quantified during quasi-stationary conditions using disturbance experiments ...
Diego L. Guarín, Robert E. Kearney
doaj +1 more source
Fractal and Fractional, 2022 In recent decades, fractional order calculus has become an important mathematical tool for effectively solving complex problems through better modeling with the introduction of fractional differential/integral operators; fractional order swarming ...
Faisal Altaf +6 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel +8 more
wiley +1 more source