Results 121 to 130 of about 159,079 (225)
A hybrid model combining environmental analysis and machine learning for predicting AI education quality. [PDF]
Ren X.
europepmc +1 more source
Multiscale Acoustic Bubble Actuators Using Bioinspired Liquid‐Repellent Microstructures
The article presents multiscale acoustic bubble actuators using bioinspired liquid‐repellent microstructures, enabling programmable trapping, pumping, mixing, and precise flow control. Mimicking springtail microstructures, these scalable actuators (200 µm–1 mm) offer multifunctionality in all‐in‐one devices, letter‐shaped arrays, and 3D cube ...
Cem Balda Dayan +8 more
wiley +1 more source
Development and effectiveness verification of AI education data sets based on constructivist learning principles for enhancing AI literacy. [PDF]
Kim SK, Kim TY, Kim K.
europepmc +1 more source
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias +4 more
wiley +1 more source
Assessing the Impact of AI Education on Hispanic Healthcare Professionals' Perceptions and Knowledge. [PDF]
Heredia-Negrón F +5 more
europepmc +1 more source
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai +8 more
wiley +1 more source
An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model. [PDF]
Li W +5 more
europepmc +1 more source
Integrated Au nanosheet sensor array enables simultaneous inference of gas concentration and flow rate via deep neural network analysis, without external flow control. ABSTRACT Gas sensor responses are considerably affected by gas flow rates, thereby inhibiting the accurate detection of target gas concentrations in variable‐flow applications such as ...
Taro Kato +4 more
wiley +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source

