Results 41 to 50 of about 17,803,127 (308)

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS 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

Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley   +1 more source

Structural and biochemical insights into the thermostable esterase Ta0887 from Thermoplasma acidophilum

open access: yesFEBS Open Bio, EarlyView.
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey   +4 more
wiley   +1 more source

Online-Computation Approach to Optimal Control of Noise-Affected Nonlinear Systems with Continuous State and Control Spaces [PDF]

open access: yes, 2007
22.10.13 KB. Ok to add author version to spiral.A novel online-computation approach to optimal control of nonlinear, noise-affected systems with continuous state and control spaces is presented.
Deisenroth, Marc P   +3 more
core  

Neural Stochastic Contraction Metrics for Learning-based Control and Estimation [PDF]

open access: yes, 2021
We present Neural Stochastic Contraction Metrics (NSCM), a new design framework for provably-stable learning-based control and estimation for a class of stochastic nonlinear systems.
Chung, Soon-Jo   +3 more
core   +1 more source

State dependent NGMV control of delayed piecewise affine systems [PDF]

open access: yes, 2009
A Nonlinear Generalized Minimum Variance (NGMV) control algorithm is introduced for the control of delayed piecewise affine (PWA) systems which are an important subclass of hybrid systems.
Grimble, M.J., Pang, Y.
core   +4 more sources

Type I interferons modulate autophagy to shape gemcitabine response in pancreatic cancer cells

open access: yesFEBS Open Bio, EarlyView.
Type I interferons differentially modulate autophagy and the response of pancreatic cancer cells to gemcitabine. IFNα2b stimulates autophagic flux and protects cells from gemcitabine‐induced cell death, contributing to chemoresistance. In contrast, IFNβ1a inhibits autophagosome formation and enhances gemcitabine‐induced cell death, resulting in ...
Lucy E. Bonilla   +10 more
wiley   +1 more source

Modeling and prescribed H-infinity tracking control for strict feedback nonlinear systems

open access: yes, 2017
By utilizing backstepping technique, an H∞ robust controller with improved prescribed performance and dynamic surface control is designed for a class of strict feedback nonlinear systems.
Chen, Ming   +3 more
core   +1 more source

Nonlinear Control Systems Simulation Using Spreadsheets

open access: yesSpreadsheets in Education, 2004
In this paper, a method for simulating nonlinear control systems using spreadsheets is presented. Various nonlinear blocks are simulated using graphics and cell formulas, and are generated by clicking on specially developed toolbar buttons.
Ali El-Hajj   +2 more
doaj  

Design of a multivariable neural controller for control of a nonlinear MIMO plant

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2014
The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a
Bańka Stanisław   +2 more
doaj   +1 more source

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