Results 211 to 220 of about 5,122,184 (304)
Classification of decomposed neural data in memory networks and LLM-based stimuli processing. [PDF]
Shahzaib M +4 more
europepmc +1 more source
The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich +6 more
wiley +1 more source
Nicotine Suppresses Human Memory Th Cell Subsets With Preferential Effects on Central Memory Th Cells in an α7 Nicotinic Acetylcholine Receptor-Dependent Manner. [PDF]
Gholizadeh F +10 more
europepmc +1 more source
A sequence‐encoded supramolecular construct containing two accessible toeholds is developed herein for enabling multiple editing operations. By introducing specific input strands, it is possible to selectively erase or rewrite digital content through parallel or series toehold‐mediated strand displacement (PTMSD or STMSD).
Jakub Ossowski +3 more
wiley +1 more source
Cellular and molecular mechanisms of astrocyte plasticity in learning and memory. [PDF]
Holt LM, Nestler EJ, Olsen ML.
europepmc +1 more source
This essay was contributed to the publication 'Ashley Howard: Ritual and Setting' published on the occasion of the exhibition held at Winchester Cathedral, 4 August to 26 September 2009.
openaire +1 more source
Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Working Memory Modulates Auditory Perceptual Sensitivity During Speech Planning. [PDF]
Merrikhi Y, Daliri A.
europepmc +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source

