Correction to 'Splicing of a non-coding antisense transcript controls LEF1 gene expression'. [PDF]
europepmc +1 more source
Distinct sensorimotor encoding in tuft dendrites and somata associated with action, correction, and learning. [PDF]
Scheib J +13 more
europepmc +1 more source
Single‐filament material extrusion enables spatial stiffness programming through locally controlled thermal foaming of TPU. A data‐driven G‐code framework tunes porosity from 15.7% to 40.7% and hardness from 90 to 63 Shore A within and across layers. Monolithic hands and soft actuators consequently achieve distinct programmed motions without material ...
Rosanna Rifino +3 more
wiley +1 more source
Statistics of the Compression Ratio of a Variable-to-Variable Code: Exact Moments and Asymptotic Behavior. [PDF]
Merhav N.
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
Making student mistakes didactically useful in bedside teaching: relevance of learning content, teacher and patient presence. [PDF]
Rubisch HPK +3 more
europepmc +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
Correction to "Patient Readiness for Shared Decision Making About Treatment: Conceptualisation and Development of the Ready<sup>SDM</sup>". [PDF]
europepmc +1 more source
Correction: An interactive information based DCNN-BiLSTM model with dual attention mechanism for facial expression recognition. [PDF]
Jayaraman S, Mahendran A.
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

