A user-friendly graphical user interface for paw touch classification in rodent cylinder testing. [PDF]
Johnson TR, Zerefos KD, Taylor DM.
europepmc +1 more source
Low‐Outgassing Liquid Metal–Silicone Composites for Multifunctional Space Applications
Integrating liquid metal microdroplets into a space‐grade silicone creates a multifunctional composite while preserving its inherent flexibility and low‐outgassing behavior. The composite has 11×$\times$ higher thermal conductivity while remaining thermally stable and maintaining a total mass loss of ≤$\le$ 1% under thermal vacuum testing.
Spencer Pak +5 more
wiley +1 more source
Light Scattering Contrast Inversion of Single Metal Nanoparticles Inside a Nanofluidic Channel. [PDF]
Wilske L +4 more
europepmc +1 more source
Red‐Light Tomographic Volumetric 3D Printing in Seconds for Fabrication of Colorless Structures
A custom red‐light‐responsive TVAM platform combines methylene blue, triethanolamine, and PEGDA to fabricate transparent crosslinked hydrogels. Light patterns are projected into a rotating resin container, where a sacrificial photoinitiator system enables rapid polymerization and colorless channel‐containing structures, utilizing low‐energy light for ...
Ali Eftekhari +9 more
wiley +1 more source
Screening-based prevalence and axis distribution of astigmatism among children and adolescents in Lintong District, Xi'an: a large-scale school-based cross-sectional study. [PDF]
Li Y +7 more
europepmc +1 more source
Transparent, electrically conductive In–Zn–O thin films are solution‐processed by spin coating, inkjet printing, and, as demonstrated here for the first time, screen printing. The chosen deposition technique determines the solution composition, which in turn governs the resulting microstructure and optoelectronic performance.
Danjela Kuscer +3 more
wiley +1 more source
Adiposity and the prevalence, incidence and distribution of refractive errors in urban Vietnamese children. [PDF]
Ho NT, Tran KPM.
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source

