Results 141 to 150 of about 213,846 (255)

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini   +7 more
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

Using the Quantifying Bilingual Language Experience Questionnaire to Identify Risk for Language Impairment in Bilingual Children. [PDF]

open access: yesJ Speech Lang Hear Res
De Cat C   +6 more
europepmc   +1 more source

Systematic Exploration of 3D Concrete Printing Parameters for Conformal Printing on Sloped Surfaces

open access: yesAdvanced Robotics Research, EarlyView.
A conformal slicing algorithm is developed for robotic 3D concrete printing (3DCP) on sloped surfaces as a first step toward printing slab‐on‐grade foundations on uneven terrain. Systematic experiments quantify the effects of nozzle speed, extrusion rate, and toolpath direction on filament dimension and stability.
Paniz Farrokhsiar   +2 more
wiley   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

open access: yesAdvanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu   +7 more
wiley   +1 more source

HNRNPU K181 Lactylation Drives Cervical Cancer Growth by Upregulating PHGDH and Reprogramming Serine Metabolism

open access: yesAdvanced Science, EarlyView.
Lactate in cervical cancer induces HNRNPU K181 lactylation, opposed by NAA50‐mediated acetylation and suppressed by Pazopanib. This lactylation enhances HNRNPU binding to PHGDH pre‐mRNA exon 1, maintaining exon 1‐containing transcripts and mRNA stability, thereby activating serine metabolism.
Chang Zhang   +6 more
wiley   +1 more source

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