Results 31 to 40 of about 20,183,106 (289)
Nonlinear identification of a solar heating system [PDF]
Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005., 2005 The use of solar heating systems is a way of exploiting the clean and free energy from the sun. To optimize the energy gain from such a system, where the main input, the solar insulation, is an uncontrollable variable, good model of the system dynamics are required.
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Identification of Block-oriented Systems Using the Invariance Property
, 2010 Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time.
Martin Enqvist, Enqvist, Martin,
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Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
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Molecular Oncology, EarlyView.The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington +10 more
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Federated Nonlinear System Identification
CoRRWe consider federated learning of linearly-parameterized nonlinear systems. We establish theoretical guarantees on the effectiveness of federated nonlinear system identification compared to centralized approaches, demonstrating that the convergence rate improves as the number of clients increases.
Omkar Tupe +3 more
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IDENTIFICATION OF WIENER SYSTEM WITH MONOTONOUS NONLINEARITY
IFAC Proceedings Volumes, 2006 A Wiener system is composed of a linear dynamic subsystem followed by a static nonlinearity. It is well known in the literature that the identification of the linear subsystem of a Wiener system can be separated from that of the output nonlinearity, if the input signal is a Gaussian noise.
Zhang, Qinghua +2 more
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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
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Nonlinear Aeroelastic System Identification Based on Neural Network
Applied Sciences, 2018 This paper focuses on the nonlinear aeroelastic system identification method based on an artificial neural network (ANN) that uses time-delay and feedback elements. A typical two-dimensional wing section with control surface is modelled to illustrate the
Bo Zhang +3 more
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Modeling of Nonlinear SOEC Parameter System Based on Data-Driven Method
Atmosphere, 2023 Based on the basic nonlinear parameter system of the solid oxide electrolysis cell, the data-driven method was used for system identification. The basic model of the solid oxide electrolysis cell was accomplished in Simulink and experiments were ...
Dehao Hou +7 more
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FEBS 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
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