Results 241 to 250 of about 26,900 (293)

Quantitative MRI analysis of deep gray matter aging: Volumetric, T1/T2 ratio, and blood perfusion alterations. [PDF]

Neuroimage Rep
Zhang M, Sun Z, Wang C, Li C, Zhang J, Ge Y.   +5 more
europepmc   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

Advanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

"Robust" but Tiny: Methodological Influences and Inter-Individual (Un)Stability of the Serial Order Effect in Creativity. [PDF]

J Intell
Barbot B, Van den Noortgate W, Said-Metwaly S.   +2 more
europepmc   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

A Survey of Lattice-Based Physical-Layer Security for Wireless Systems with <i>p</i>-Modular Lattice Constructions. [PDF]

Entropy (Basel)
Khodaiemehr H, Bagheri K, Mohajer A, Feng C, Panario D, Leung VCM.   +5 more
europepmc   +1 more source

Predicting Crystal Structures and Ionic Conductivities in Li3YCl6−xBrx Halide Solid Electrolytes Using a Fine‐Tuned Machine Learning Interatomic Potential

Advanced Intelligent Systems, EarlyView.
This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley   +1 more source

Large language models approach clinician performance in ESC cardiovascular risk stratification: a vignette-based benchmark study. [PDF]

Eur Heart J Digit Health
Ferreira Santos J, de Brito Duarte R, Mota I, Santos RC, Moreira JM, Campos J, Silva NA, Neves B, Ladeiras-Lopes R, Leite F, Dores H.   +10 more
europepmc   +1 more source

Mapping of fermionic lattice models for Ising solvers. [PDF]

Sci Rep
Nagpal L, Kumar A, Hassan SR.
europepmc   +1 more source

Hydrothermal synthesis and optimization of hierarchical copper molybdate nanostructures for photocatalytic degradation of crystal violet and antimicrobial applications. [PDF]

Sci Rep
Hassan R, Abdel-Rahim RD, Gouda GA, Nagiub AM.   +3 more
europepmc   +1 more source