Results 131 to 140 of about 168,419 (219)

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Circularly Polarized Red‐NIR Emission With High Dissymmetry Factor From Achiral [Mo6I8(OCOC2F5)6]2− Cluster Anion Embedded in a Bent‐Core Liquid Crystal Host

Advanced Optical Materials, EarlyView.
Associating a chiral bent core liquid crystal molecule, that self‐assembles into helical nanofilaments, with an achiral red‐NIR phosphorescent octahedral molybdenum cluster produces a hybrid material exhibiting efficient red‐NIR circularly polarized emission under UV excitation.
Jeanne Rebours, Shamima Akhter, Md Kamrul Hasan, Serge Paofai, Maria Amela‐Cortes, Marianne Estelle Prévôt, Yann Molard   +6 more
wiley   +1 more source

Bridging logic and time: the need for conceptualization of 'functional neurological disorder before readiness'. [PDF]

Brain Commun
Hanazono A, Yasuda K, Sanpei Y.
europepmc   +1 more source

Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering

Advanced Photonics Research, Volume 6, Issue 5, May 2025.
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik, Fedor Kovalev, Mingkai Liu, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Mariusz Martyniuk, Ilya Shadrivov   +7 more
wiley   +1 more source

Factors Associated with the Transition from Discharge Preparation to Home Rehabilitation in Elderly Day Surgery: A Structural Equation Modeling Study. [PDF]

Patient Prefer Adherence
Wu M, Huang C, Xu Y, Zhao L, Dai W, Xia L.   +5 more
europepmc   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source

Nursing students' readiness for and acceptance of artificial intelligence technologies in clinical skills training: A cross-sectional study. [PDF]

Int J Nurs Stud Adv
Abousoliman AD, El-Sehrawy MG, Elgamal HG.   +2 more
europepmc   +1 more source

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

Act now: strengthening critical care readiness in fragile health systems during war and disasters. [PDF]

Crit Care
Elmi AH.
europepmc   +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