Results 161 to 170 of about 13,066 (265)

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
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, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Large‐Scale and Cost‐Effective Fabrication of Ultra‐Thin, Biodegradable Microelectrode Arrays and Pressure Sensors Using Laser Micromachining

Advanced Materials Technologies, EarlyView.
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala, Asfand Tanwear, María Cerezo‐Sánchez, Hossein Parvizi, Morteza Amjadi, Hadi Heidari   +5 more
wiley   +1 more source

The Influence of Mesoscale Particle Structure on the Electrode Degradation and Resultant Electrochemistry of Lithium Ion Cells With Nickel Rich Lithium Nickel Manganese Cobalt Oxide Positive Electrodes

Advanced Materials Technologies, EarlyView.
Milled polycrystalline NMC811 cathode (MPC NMC) with smaller secondary particle and higher surface area had 1) greater cathode tortuosity, 2) reduced surface Ni on the cycled MPC cathodes consistent with surface reconstruction, and 3) increased Ni deposition from cathode‐anode crosstalk, manifesting in lower functional capacity and higher impedance ...
Edelmy J. Marin Bernardez, Andrew Nicoll, David J. Arnot, Armando Rodriguez Campos, Patrick J. Barry, Marie F. Millares, Cynthia Huang, Melissa A. Guercio, Grace K. Dono, Alexis Pace, Xianghui Xiao, Cherno Jaye, Conan Weiland, Jianming Bai, Hui Zhong, Michael Drakopoulos, Zhong Zhong, Nghia T. Vo, Xiao Tong, Esther S. Takeuchi, Amy C. Marschilok, Shan Yan, Kenneth J. Takeuchi   +22 more
wiley   +1 more source

An Accessible Microfluidic Platform for the Generation of Polarized Brain Organoids

Advanced Materials Technologies, EarlyView.
This study presents an accessible double‐gradient microfluidic device that enables controlled morphogen delivery and spatially polarized differentiation in brain organoids. By integrating a pump‐free design and stable fabrication method, the platform generates dorsal–ventral neuronal asymmetry, offering a reproducible and versatile approach to model ...
Daniel Pérez‐Calixto, Manuel Alejandro Vazquez Valle, Mitzi Pérez‐Calixto, Cindy Peto‐Gutiérrez, Iván Velasco, Genaro Vázquez‐Victorio, Itzel Escobedo‐Avila   +6 more
wiley   +1 more source

Research and application of fiber-reinforced EPS particle lightweight soil in highway engineering in cold regions. [PDF]

Sci Rep
Dou H, Xu B, Li F, Li Y, Liu H, Zu F.
europepmc   +1 more source

Skin‐Like Tri‐Modal Sensors Based on Soft Piezoelectric and Ionic Composites

Advanced Materials Technologies, EarlyView.
Inspired by the multimodal perception of human skin, a soft, skin‐like tri‐modal sensor is presented. The device incorporates an ionically conductive, piezoelectric, elastic composite as its active layer, enabling independent detection of temperature, static strain, and dynamic strain within a single two‐terminal architecture.
Liren Wang, Peter Zalar, Vishva Bhate, Takeo Furukawa, Hidekazu Kodama, Yijun Liu, Yuanyuan Zhou, Chuang Hou, Siyuan Liu, Naoji Matsuhisa   +9 more
wiley   +1 more source

Exploring the Use of Associative Analogy Teaching in BME Computer Courses in Medical University. [PDF]

Adv Med Educ Pract
Qi F, Chen Y, Li Z, Lei T, Wang J, Lu G.
europepmc   +1 more source

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

Physicochemical characteristics and mechanism analysis of loess at different high-temperature stages. [PDF]

Sci Rep
Bai H, Yin W, Li X, Qiao J, Tian C, Wang Y.   +5 more
europepmc   +1 more source

Testing and Simulation of Multilayer Polyvinylidene Fluoride‐Based Piezoelectric Energy Harvester Devices

Advanced Materials Technologies, EarlyView.
The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin, Silvia Monchetti, Paolo Emilio Puddu, Luciano Teresi, Antonio DeSimone, Roberto Brighenti   +5 more
wiley   +1 more source