Results 201 to 210 of about 3,242,957 (257)

Long COVID in the general population: reassurance without dismissal. [PDF]

Lancet Reg Health Eur
Lemogne C.
europepmc   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

APOE in subjective cognitive decline: a systematic review and meta-analysis. [PDF]

J Neurol
Alonge P, Baiamonte L, Gerardi G, Torrente A, Lo Mauro E, Veronese N, Labate A, Monastero R.   +7 more
europepmc   +1 more source

Liquid Crystal Elastomer Actuator Matrix for Large Area Applications

Advanced Materials Technologies, EarlyView.
A scalable approach is used to manufacture a digitally‐controllable, 2D 5 × 5 actuator matrix. The elements of the matrix are produced by direct ink writing of a liquid crystal elastomer ‘artificial muscle’ on large‐area flexible thin‐film heaters. In optimizing the low‐power actuators, multiple heater designs and substrate materials are investigated ...
Giulia Spallanzani, Bart Peeters, Danqing Liu, Peter Zalar, Hylke B. Akkerman, Jeroen A. H. P. Sol   +5 more
wiley   +1 more source

Post-Treatment Lyme Disease Syndrome in Six European Countries Using Data from the Burden of Lyme Disease (BOLD) Study. [PDF]

Pathogens
Yu H, Mercadante AR, Halsby K, Loew-Baselli A, Tan Y, Angulo FJ, Begier E, Dzingina M, Berglund JS, Moniuszko-Malinowska A, Cibik V, Zakova D, Strle F, Stark JH, On Behalf Of The Bold Study Group.   +14 more
europepmc   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Lucidity: Differences in Perspective. [PDF]

Cureus
Gallardo SJ, Rudnisky E, Coni RJ.
europepmc   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source