Results 221 to 230 of about 103,094 (295)

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

Educational Background and Demographic Characteristics of Anesthesiology Department Chairs in the United States. [PDF]

Anesthesiol Open
Estright AW, Pruitt KA, Pope SE, Childers M, Clark SC, Singh M, Alter JA, Hill HE, Tollinche LE.   +8 more
europepmc   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

Psychedelics, the media portrayal and large-language model evaluations. [PDF]

BJPsych Open
Clelland CL.
europepmc   +1 more source

Naphthyridine‐Based Donor–Acceptor Boron Difluoride Complexes Targeting Red Emission in Organic Light‐Emitting Diodes

Advanced Optical Materials, EarlyView.
Four donor–acceptor boron difluoride complexes based on triphenylamine donor and a naphthyridine acceptor units were synthesized, studied, and applied as OLED emitters. They exhibit pronounced intramolecular charge transfer character, balanced charge transport properties, and tunable emission. Near‐unity PLQYs are achieved for selected compounds, while
Omar Lahna, Stepan Kutsiy, Dmytro Volyniuk, Roman Luboradzki, Elina Andresen, Ute Resch‐Genger, Juozas V. Grazulevicius, Pavlo Stakhira, Mykhaylo A. Potopnyk   +8 more
wiley   +1 more source

You Can't Launch This: Trust as Infrastructure in Digital Behavioral Health. [PDF]

J Med Internet Res
van Mierlo T.
europepmc   +1 more source

Elimination of Necking and Aspect Ratio Dependence in Uniaxial Actuators by Continuous Fiber Reinforcement

Advanced Robotics Research, EarlyView.
A novel carbon fiber reinforcement for dielectric elastomer actuators enhances actuation force while decoupling electromechanical performance from the actuator's aspect ratio. Unlike conventional fiber reinforcements, it enables a uniform planar stretch state along the entire actuator.
Markus Koenigsdorff, Stefania Konstantinidi, Anett Endesfelder, Petr Osipov, Johannes Mersch, E.‐F. Markus Vorrath, Martina Zimmermann, Yves Perriard, Gerald Gerlach   +8 more
wiley   +1 more source

Altmetrics in the evaluation of scholarly impact: a systematic and critical literature review. [PDF]

Front Res Metr Anal
González P, Fors M, Torres A.
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

Framing artificial intelligence in Chilean digital press before and after the launch of ChatGPT: From concern to optimism. [PDF]

PLoS One
Bucchi A, Neira-Mellado C, Sanchez-Sabate R, Mora-Chepo M.   +3 more
europepmc   +1 more source