Results 241 to 250 of about 739,428 (306)
BLOC: Buildable and Linkable Organ on a Chip
We developed a “Buildable and Linkable Organ on a Chip” (BLOC) that can construct diverse microphysiological systems (MPSs). The BLOC is standardized to the same size and has one of the functions of “Culture,” “Control,” or “Analysis.” Users can freely configure various MPSs, including developing perfusion, cytotoxicity analysis, and biochemical ...
Yusuke Kimura +7 more
wiley +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
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
MXene‐Coated 3D Printed Horn Antennas for Ku Frequency Band
An additive manufacturing approach to 3D printing horn antennas and coating them with Ti3C2Tx MXene is proposed. Rapid fabrication of lightweight, high‐performance antennas operating in the Ku‐band (12.4–18 GHz) has been demonstrated. The MXene‐coated antennas exhibit comparable electromagnetic performance to conventional, costly aluminum ones, with ...
Zahra Sarpanah Sourkouhi +3 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
Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi +12 more
wiley +1 more source
Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz +2 more
wiley +1 more source
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Subthreshold error corrections predict adaptive post‐error compensations
Psychophysiology, 2021AbstractRelatively little is known about the relation between subthreshold error corrections and post‐error behavioral compensations. The present study utilized lateralized beta power, which has been shown to index response preparation, to examine subthreshold error corrections in a task known to produce response conflict, the Simon task. We found that
Paul J. Beatty +4 more
openaire +2 more sources
Deep Network Quantization via Error Compensation
IEEE Transactions on Neural Networks and Learning Systems, 2022For portable devices with limited resources, it is often difficult to deploy deep networks due to the prohibitive computational overhead. Numerous approaches have been proposed to quantize weights and/or activations to speed up the inference. Loss-aware quantization has been proposed to directly formulate the impact of weight quantization on the model ...
Hanyu Peng +4 more
openaire +2 more sources

