Results 181 to 190 of about 4,351 (220)

Recent Advances in Pickering Emulsion Templated Phase Change Material Microcapsules: Design, Fabrication, and Multifunctional Applications

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Fabrication process of phase change microcapsules using a Pickering emulsion template method and their subsequent applications. The increasing demand for efficient thermal energy storage systems has driven the development of phase change material microcapsules (PCMMs), which provide high energy‐storage density, reversible phase change, and reduced ...
Ziyan Li   +4 more
wiley   +1 more source

Enabling Ultrastable Microbubbles With Graphene Aerogel Enrichment and Machine Learning for Highly Efficient Carbon Storage

open access: yesElectron, EarlyView.
This study aims to introduce a novel‐designed structure of the colloidal aphron microbubbles reinforced by incorporating hydrophobic aerographene microparticles onto the hydrophobic outer shell. This results in the formation of a robust composite film and armored microbubble that offers exceptional ultrastability under elevated pressures of up to 400 ...
Mohammad Hossein Akhlaghi   +4 more
wiley   +1 more source

A light-fueled self-oscillator that senses force. [PDF]

open access: yesCommun Mater
Deng Z, Priimagi A, Li K, Zeng H.
europepmc   +1 more source

A guide to neuromodulation in drug‐resistant epilepsy

open access: yesEpileptic Disorders, EarlyView.
Abstract Neuromodulation is approved for the treatment of drug‐resistant epilepsy. It has been increasingly utilized over the past two decades with the approval of deep brain stimulation (DBS) and responsive neurostimulation (RNS) in addition to vagus nerve stimulation (VNS)—particularly in patients who are not deemed to be good resective surgical ...
Prachi Parikh   +10 more
wiley   +1 more source

Can epilepsy be predicted after the first febrile seizure? Insights from machine learning of postictal EEG

open access: yesEpileptic Disorders, EarlyView.
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu   +7 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

open access: yesEpilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus   +7 more
wiley   +1 more source

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