Results 151 to 160 of about 339,549 (266)

Interaction‐Driven Assembly Pathways in Heterogeneous Active Microrobotic Systems

Advanced Functional Materials, EarlyView.
Peanut‐ and cube‐shaped light‐powered microrobots exhibit distinct magnetic and photocatalytic responses that determine their heterogeneous self‐assembly. In the dark, magnetic dipole interactions drive colloidal copolymerization with cubes acting as nucleation centers, whereas under light irradiation, phoretic interactions compete with magnetic ...
Domenico Calabrò, Roshan Velluvakandy, Martin Pumera, Francesco Priolo, Salvo Mirabella, Mario Urso   +5 more
wiley   +1 more source

The Language of Numbers: Reading Comprehension and Applied Math Problem-Solving. [PDF]

Behav Sci (Basel)
Sury D, Pilchin L.
europepmc   +1 more source

Molecular Rotors: From Newtonian Fluids to Functional Materials as Viscosity and Temperature Sensing Tools

Advanced Functional Materials, EarlyView.
Molecular rotors are fluorescent molecules that are sensitive to viscosity and temperature variations in the environment. They exhibit a direct correlation between fluorescence and viscosity within Newtonian fluids. However, this correlation becomes less straightforward in complex systems.
Flavia Di Scala, Alice Briole, Valerii Myndrul, Thomas J. Cleij, Hanne Diliën, Bérengère Abou, Bart van Grinsven   +6 more
wiley   +1 more source

Embodying an avatar with a dissimilar appearance enhances insight problem solving. [PDF]

Sci Rep
Lo SY, Hsu LJ.
europepmc   +1 more source

Mineral Deposition From Liquid Precursors Triggered by Complementary Polyelectrolytes

Advanced Functional Materials, EarlyView.
Polyelectrolyte additives can delay or prevent crystal nucleation in supersaturated solutions of insoluble mineral salts such as calcium carbonate. This work reports that adding a second, oppositely‐charged polyelectrolyte leads to immediate mineral crystallization from such metastable solutions.
Mohammed Kayes Patoary, Eli Halperin Pierce, Elizabeth Siu, Brigitte Gallagher, Md Abul Shahid, Yang Zhang, Thomas B. H. Schroeder   +6 more
wiley   +1 more source

Older adults can outperform younger adults in creative problem solving. [PDF]

BMC Geriatr
Ozkalp-Poincloux B, Cassotti M, Salvia É, Doucet GE, Camarda A.   +4 more
europepmc   +1 more source

Atomically Dispersed Ni Site Catalysts Accelerating Sluggish Sulfur Redox Kinetics in Nonaqueous Zn‐S Batteries

Advanced Functional Materials, EarlyView.
An atomically dispersed Ni catalyst featuring Ni‐N4 coordination is developed as a sulfur host for nonaqueous Zn─S batteries. This configuration modulates the electronic structure to lower activation barriers during rate‐limiting steps and promotes a robust ZnF2‐rich cathode‐electrolyte interphase, thereby accelerating sulfur redox kinetics ...
Junhyuk Ji, Dongwoo Kim, Nuri Moon, Daehwan Kim, Keon Kim, Nahyung Kim, Young Yong Kim, Won Bae Kim   +7 more
wiley   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

Beyond personality traits: a motivation-self-regulation model of mathematical problem-solving through self-efficacy and mathematical thinking. [PDF]

Front Psychol
Wang J, Guo L.
europepmc   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source