Results 111 to 120 of about 981,305 (342)
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Simulation-based training and learning curves in laparoscopic Roux-en-Y gastric bypass (Br J Surg 2012; 99: 887–895) [PDF]
A. C. de Beaux
openalex +1 more source
Goddard research and engineering management exercise /GREMEX/ [PDF]
Computer assisted management simulation exercise for training of personnel as project ...
Baker, R. F.
core +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Social Identity: Clarifying its Dimensions across Cultures
Social identity has been linked to a number of work-relevant constructs. Specifically, researchers have investigated the role of social identity in cross-function teams, its impact on team performance and willingness to engage in OCBs, just to name a few.
Jennifer Feitosa +2 more
doaj
Current status of wet lab and cadaveric simulation in urological training: A systematic review
Ahmed Al‐Jabir +5 more
openalex +2 more sources
Medical Simulation and Training: "Haptic" Liver [PDF]
Felix G. Hamza-Lup +3 more
openalex +1 more source
Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa +6 more
wiley +1 more source
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source
Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante +17 more
wiley +1 more source

