Results 71 to 80 of about 1,828,697 (335)
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
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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
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Convex Optimization In Identification Of Stable Non-Linear State Space Models [PDF]
, 2010 A new framework for nonlinear system identification is presented in terms of optimal fitting of stable nonlinear state space equations to input/output/state data, with a performance objective defined as a measure of robustness of the simulation error ...
Manchester, Ian R. +4 more
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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
Mathematics, 2021 Inferring the latent structure of complex nonlinear dynamical systems in a data driven setting is a challenging mathematical problem with an ever increasing spectrum of applications in sciences and engineering.
Zlatko Drmač, Igor Mezić, Ryan Mohr
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Sparse model identification using a forward orthogonal regression algorithm aided by mutual information [PDF]
, 2006 A sparse representation, with satisfactory approximation accuracy, is usually desirable in any nonlinear system identification and signal processing problem.
Billings, S.A., Wei, H.L.
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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
Maximum-Likelihood-Based Adaptive and Intelligent Computing for Nonlinear System Identification
Mathematics, 2021 Most real-time systems are nonlinear in nature, and their optimization is very difficult due to inherit stiffness and complex system representation.
Hasnat Bin Tariq +5 more
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Identification Techniques Applied to a Passive Elasto-magnetic Suspension [PDF]
, 2007 The paper presents an experimental passive elasto-magnetic suspension based on rare-earth permanent magnets, characterized by negligible dependence on mass of its natural frequency.
A. Vigliani +10 more
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Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source