Results 141 to 150 of about 1,579 (213)

Habit learning is associated with efficiently controlled network dynamics in naive macaque monkeys. [PDF]

Npj Complex
Brynildsen JK, Fotiadis P, Szymula KP, Kim JZ, Pasqualetti F, Graybiel AM, Desrochers TM, Bassett DS.   +7 more
europepmc   +1 more source

Agar‐Based Optical Sensing System With a Phosphorescent Grid Pattern for Measuring Stress Distributions of Root Growth Using the Sampling Moiré Method

Advanced Materials Technologies, EarlyView.
This paper presents an agar medium with a phosphorescent grid pattern that measures the stress distribution generated by growing plant roots. Using phosphorescence, the system optically separates the grid pattern from the root and extracts the grid deformation.
Gakuto Kagawa, Hidetoshi Takahashi
wiley   +1 more source

Ecological drivers of arboviral disease risk: Vector-host interfaces in a Mediterranean wetland of Northeastern Spain. [PDF]

PLoS Negl Trop Dis
Froxán-Grabalosa J, Mariani S, Cerecedo-Iglesias C, Richter-Boix A, Torner AO, Pla M, Brotons L, Bartumeus F.   +7 more
europepmc   +1 more source

Coating‐Free Nanoscratching for Liquid‐Crystal Alignment on PCB‐Compatible Millimeter‐Wave Reflective Unit Cells

Advanced Materials Technologies, EarlyView.
Direct nanoscratching with a 500 nm diamond lapping film creates groove‐guided liquid‐crystal alignment interfaces on PCB‐compatible Cu‐patterned RF substrates within minutes, eliminating polymer coating and high‐temperature baking. The coating‐free process enables optical/molecular alignment validation and voltage‐programmable 28 GHz reflection‐phase ...
Junseok Ma, Ga‐Yeong Park, Geunjung Lee, Hyo‐Won Lee, Jong‐Won Yu, Dong Ki Yoon   +5 more
wiley   +1 more source

Algebraic Approach to Maximum Likelihood Factor Analysis. [PDF]

Psychometrika
Fukasaku R, Hirose K, Kabata Y, Teramoto K.   +3 more
europepmc   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

From electron spin to relaxivity: a multidisciplinary perspective on first-row transition metal-based MRI probes. [PDF]

Chem Sci
Salvadori E, Lagostina V, Ricci M, Carniato F, Botta M, Platas-Iglesias C, Chiesa M.   +6 more
europepmc   +1 more source

Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering

Advanced Materials Technologies, EarlyView.
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch, Atmika Bhardwaj, Mirko Nitschke, Ilka Hermes, Andreas Fery, Anett Müller, Marco Werner, André Knapp   +7 more
wiley   +1 more source

Omnidirectional Ultra‐Broadband Cu/TiO2 Metasurface Absorbers for High‐Efficiency Solar Thermal Conversion and Photothermal Plasmon‐Driven Catalysis

Advanced Optical Materials, EarlyView.
Metasurface shows selective solar–thermal energy conversion with high‐activity solar/laser‐driven chemistry. The breakthrough is co‐designing broadband FP‐cavity + plasmonic LSPR/SLR resonances in an ultra‐thin metamaterial so that it not only harvests the most efficient proportion of solar radiation but also suppresses mid and IR emissivity. Moreover,
Samira Mehrabi, HaoYu Zhang, Narendra Chaulagain, Edgar Acosta, Nazir P. Kherani   +4 more
wiley   +1 more source

A Cox Rate-and-State Model for Monitoring Seismic Hazard in the Groningen Gas Field. [PDF]

Math Geosci
Baki Z, van Lieshout MNM.
europepmc   +1 more source