Results 101 to 110 of about 47,012 (304)
A reducible solubilizing tag strategy (RST‐2.0) enables the synthesis, purification and ligation of difficult peptides while being readily removable just during folding, which overcomes the common challenges from protein hydrophobicity and aggregation. With this method, we achieved the first total synthesis of native and N‐glycosylated IL‐15 as well as
Jingwen Zeng +4 more
wiley +2 more sources
A fully coupled FEM–HH model shows that ideally capacitive microelectrodes can achieve lower charge‐density thresholds than Faradaic contacts under current‐controlled stimulation. The advantage stems from the dynamics of surface current density on capacitive interfaces, which redirects current beneath adherent neurons.
Aleksandar Opančar +2 more
wiley +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Reformulations avec et sans marqueurs : étude de trois entretiens de l’oral
La communication porte sur l’analyse des reformulations produites dans le discours oral. La reformulation est prise au sens large en tant que procédé de modification d’un segment par un autre mais elle garde toujours un lien sous-jacent entre les deux ...
Eshkol-Taravella Iris, Grabar Natalia
doaj +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam +7 more
wiley +1 more source
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley +1 more source
Valorisation et collaboration public-privé à l’umr stl : le projet semotics.
À l'invitation de la MESHS Lille Nord de France (Atelier Lille Place Tertiaire / MESHS : Recherche et entreprise, comment collaborer?), j'ai présenté les actions de valorisation entrerprises dans le cadre des activités de recherche de l'UMR STL, plus ...
Liger, François, Balvet, Antonio
core
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley +1 more source

