Exploring the Writing and Typing Needs of Older Adults with Acquired Vision Loss: A Qualitative Study of Challenges and Adaptive Strategies. [PDF]
Anwar R, Macnaughton J, Latham K.
europepmc +1 more source
Low‐index and low‐loss vdW muscovite represents an emerging robust dielectric platform for the creation of next‐generation all‐vdW nanophotonic architectures. Its utilization as a low‐index building‐block in all‐vdW multilayers enables extreme optical contrast when paired with MoS2, paving the way to the realization of few‐layer ultrathin DBS ...
Meri H. Hayrapetyan +10 more
wiley +1 more source
Handwritten signatures in neurological and psychiatric disorders: a systematic review with clinical and forensic implications. [PDF]
Vitale S +3 more
europepmc +1 more source
Person Identification Based On Handwriting
Sushma Sugandhi, Vinita Patil
openaire +1 more source
Naphthopyran–benzophenone compounds can act simultaneously as photoinitiators and photochromic molecules for two‐photon polymerization. Using a single‐step process, liquid photoresist is encapsulated within polymerized 3D microstructures, preserving reversible UV–vis photochromism after fabrication.
João P. Leote +5 more
wiley +1 more source
LiquidGAN for Handwriting-Based Detection and Severity Classification of Extrapyramidal Symptoms. [PDF]
Liyanage EM +8 more
europepmc +1 more source
Spherical liquid crystal polymer microlasers with a bipolar configuration confine lasing to a single equatorial plane, allowing precise control over where the laser emission is generated. The anisotropic refractive index profile additionally lifts the energy degeneracy of azimuthal whispering gallery modes, which causes a characteristic splitting into ...
David Ripp +5 more
wiley +1 more source
Immunotherapy-associated dysgraphia as an early neurocognitive manifestation of immune effector cell-associated neurotoxicity syndrome: clinical characteristics, mechanistic insights, and assessment challenges. [PDF]
Yamamoto Y, Masauji T, Shimasaki T.
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
Cutting-edge transformer-based deep learning for Parkinson's disease diagnosing using multimodal hand-drawing and handwriting analysis. [PDF]
Aldhyani THH.
europepmc +1 more source

