Results 141 to 150 of about 427,855 (303)

Additive Manufacturing of Patient‐Specific Intracranial Aneurysm Cell Culture Models

open access: yesAdvanced Materials Technologies, EarlyView.
Patient‐specific intracranial aneurysm models were fabricated using chocolate moulding, 3D printed water‐soluble cores, and direct resin 3D printing. Moulding PDMS around sacrificial cores made of chocolate or 3D printed water‐soluble resin yielded accurate, expandable, and endothelializable models that outperformed resin‐based approaches.
Chloe M. de Nys   +6 more
wiley   +1 more source

Special Issue: Progress of the Knowledge Grid [PDF]

open access: yesConcurrency and Computation: Practice and Experience, 2006
Geoffrey C. Fox, Xiaoping Sun
openaire   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

open access: yesAdvanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Understanding Ionic Flow in Nanofluidic Blind‐Hole Anodic Aluminum Oxide (AAO) Membranes for Osmotic Energy Generation

open access: yesAdvanced Materials Technologies, EarlyView.
Anodic aluminum oxide (AAO) membranes have traditionally served as structural supports in osmotic energy systems. Here, blind‐hole AAO membranes are demonstrated as active ion‐selective platforms with tunable nanopore structures. By balancing membrane resistance, ion selectivity, and flux, enhanced performance is achieved, delivering a maximum power ...
Khanh Nhien Vu   +6 more
wiley   +1 more source

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Forming of Theoretical Knowledge of Students in Chemistry in the Specialized Chemistry – Biological Classes

open access: yes, 2009
У статті коротко аналізуються завдання, які стоять перед профільною школою. Основна увага спрямована на психолого-педагогічні підходи до формування теоретичних знань з хімії учнів у класах хіміко-біологічного профілю.The forming of the theoretical ...
Чайченко Надія Натанівна   +1 more
core  

Solid Particle‐Liquid Metal Mixtures for Robust High‐Current Interconnects in Stretchable Electronics and Soft Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
Metallic microparticles dispersed in liquid metal interconnects mitigate electromigration‐induced failure by reconfiguring internal current density distributions. These fillers facilitate the growth of a robust, protective gallium oxide shell at elevated temperatures, shifting the failure threshold toward a thermal limit.
Ethan J. Krings   +6 more
wiley   +1 more source

SPECIALIZED KNOWLEDGE?

open access: yesBritish Journal of Anaesthesia, 1971
openaire   +1 more source

Specialized inpatient psychiatry units for children with autism and developmental disorders: a United States survey.

open access: yes, 2012
A cross sectional survey was performed to obtain the characteristics of specialized inpatient psychiatry units exclusively serving children with autism and other developmental disorders in the United States.
Chemelski, Bruce   +8 more
core  

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

open access: yesAdvanced 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   +10 more
wiley   +1 more source

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