Results 231 to 240 of about 563,034 (303)

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

Social capital in South Africa's minibus taxi industry: networks, trust, and challenges. [PDF]

Front Sociol
Klaas-Fobosi A, Fobosi SC.
europepmc   +1 more source

An Imaging‐Guided, Patient‐Specific Guiding Aid (RWNGuide) for Safe and Reproducible Inner Ear Drug Delivery

Advanced Materials Technologies, EarlyView.
A patient‐specific, imaging‐guided aid enables precise and reproducible drug delivery to the inner ear. By guiding therapeutic agents directly to the round window niche, this approach reduces variability in drug localization, improves delivery safety, and addresses a critical bottleneck in inner ear therapy, offering a scalable strategy for precision ...
Yanjing Luo, Shanshan Jiang, Yimian Luo, Adele Moatti, Farnaz Matin‐Mann   +4 more
wiley   +1 more source

ISASS Brave New Continuing Medical Education World: The Stifling of Innovation in Spine Surgery Through Overrestriction of Collaboration. [PDF]

Int J Spine Surg
Lorio MP, Lewandrowski KU, Alves ÓL, Parajón A, Scott-Young M, Yuan HA, Vaccaro AR.   +6 more
europepmc   +1 more source

Fabrication of Fibers With Complex Features Using Thermal Drawing of 3D‐Printed Preforms

Advanced Materials Technologies, EarlyView.
3D printing enables rapid fabrication of macroscale polymer preforms with complex geometries. Thermal drawing then scales these structures into long fibers while preserving micron‐scale cross‐sectional features. This workflow provides a fast, low‐cost route to functional fibers with tailored geometries and material combinations for catheter, robotic ...
Ali Anil Demircali, Jinshi Zhao, Ayhan Aktas, Mohamed E. M. K. Abdelaziz, Burak Temelkuran   +4 more
wiley   +1 more source

Severe Iatrogenic Tricuspid Regurgitation. [PDF]

Cureus
Amaral Pinto I, Macedo D, Rei Neto R.
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

A Diagnosis of Exclusion: Unraveling Adult-Onset Still's Disease. [PDF]

Cureus
Aswani A, Akinyooye OA, Gudger M, Barreda-Velit C, Abreu O, Ferguson S, Thompson C.   +6 more
europepmc   +1 more source

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

Advanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan, Lin Guo, Kilian Schäfer, Eduardo Sergio Oliveros‐Mata, Xiaotao Wang, Florian Hofmann, Matthias Lutzi, Mark Suppelt, Proloy Taran Das, Jan Schmidtpeter, Imants Dirba, Stephan Rinderknecht, Mario Kupnik, Denys Makarov, Oliver Gutfleisch   +14 more
wiley   +1 more source