Results 271 to 280 of about 10,635,887 (365)

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

The Incidence of Bribery in the Public Administration. Comparison between Spain and Ecuador [PDF]

open access: green, 2019
Gil Medardo Armijo Borja   +3 more
openalex  

Amide‐Linked Local Anesthetics Alter Tumor Biology in a Complex Human Tissue Model of Non‐Small Cell Lung Adenocarcinoma

open access: yesAdvanced Biology, EarlyView.
Amide local anesthetics (LA) affect tumor burden in various preclinical studies, possibly via their anti‐inflammatory properties. However, a translation into clinical evidence is still lacking. The current study demonstrates that LA ‐ even at clinically relevant concentrations – exert a strong anti‐tumoral effect in a complex ex vivo model patient ...
Juliane Krömer   +8 more
wiley   +1 more source

Primary Human Tissue Models for Metabolic Dysfunction‐Associated Liver Disease ‐ toward Streamlining Drug Discovery with Patient‐Derived Assays

open access: yesAdvanced Biology, EarlyView.
The review provides a critical up‐to‐date overview of the current landscape of human in vitro models for fatty liver disease, including spheroids, organoids, organ‐on‐a‐chip systems, bioprinted liver constructs and precision‐cut liver slices. Their utility for faithfully modeling different stages of MASLD and MASH are evaluated and their compatibility ...
Sonia Youhanna   +6 more
wiley   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

open access: yesAdvanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour   +8 more
wiley   +1 more source

Mitigation of Cracks in High‐Performance Nickel‐Based Superalloys in Powder Bed Fusion Laser Beam of Metals Using a Metal Matrix Composite Approach

open access: yesAdvanced Engineering Materials, EarlyView.
High‐performance nickel‐based superalloys are often not processible in additive manufacturing (AM) due to hot cracking. The findings in this manuscript propose an efficient method to mitigate cracking and enhance mechanical properties of these alloys by producing a metal matrix composite, contributing to the material and process perspective of the AM ...
Klaus Büßenschütt   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy