Results 161 to 170 of about 212,627 (263)

A Wireless, Passive Multimodal Wearable Sensor With Decoupled Sensing Capabilities

Advanced Materials, EarlyView.
A wireless passive multimodal electronic skin is presented for the simultaneous perception of pressure, humidity, and odor through a frequency‐divided LC resonator array. The decoupled sensing architecture suppresses cross‐interference and enables independent signal readout under superimposed stimuli while maintaining high stability.
Wenjiang Han, Heng Xiao, Tianshuang Wang, Xiaoran Ding, Liupeng Zhao, Seokjoo Cho, Peng Sun, Inkyu Park, Geyu Lu   +8 more
wiley   +1 more source

From Fiber Bundles to Architected Membranes: Triply Periodic Minimal Surface Architectures for Biohybrid Artificial Lungs

Advanced Materials, EarlyView.
Additively manufactured triply periodic minimal surface (TPMS) membranes offer an architecture‐driven alternative to hollow fiber bundles in artificial lungs. Multiphysics simulations and endothelialized prototypes show that the 3D‐printable membrane architecture improves gas exchange, blood flow distribution, and hemocompatibility, enabling ...
Michael Pflaum, Kai P. Barbian, Florian Neuhaus, Gerrit Sitarz, Carolin Nölke, Sebastian V. Jansen, John Linkhorst, Lukas T. Hirschwald, Sebastian Brosch, Christian Certa, Ulrich Steinseifer, Matthias Wessling, Jutta Arens, Arjang Ruhparwar, Bettina Wiegmann   +14 more
wiley   +1 more source

Mediating effects of student-perceived instructional practices in the digital gaming-reading performance relationship: a multilevel analysis of PISA 2018. [PDF]

Front Psychol
Göktentürk T, Oluşan İŞ.
europepmc   +1 more source

Ultrathin Hydrogel Membranes Inspired by Soap Films Enable Physiologically Relevant Breathing Lung Models

Advanced Materials, EarlyView.
A soap‐film inspired strategy enables the fabrication of ultrathin yet robust GelMA‐PAAm membranes for breathing lung culture. The hydrogel membrane supports long‐term cyclic deformation under air‐liquid interface conditions, enabling physiologically relevant breathing motions of engineered lung tissue culture. ABSTRACT Breathing continuously stretches
Yunji Lee, Gwang Myeong Kim, Wookyeom Kim, Fenny Soetanto, Gyungin Ryu, Taehun Chung, Youn Soo Kim, Junmin Lee, Hwa‐Rim Lee, Sungjune Jung   +9 more
wiley   +1 more source

The impact of technostress and generative AI on EFL mathematic metacognitive reading strategies and digital classroom burnout in SDG-aligned education. [PDF]

Sci Rep
Jingjing Q, Yan Z, Xiaobing X, Li L, Nusrat A.   +4 more
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Advances in Technology-Assisted Visual Rehabilitation Therapies: Scoping Review. [PDF]

J Med Syst
Saiz Briceño M, Trujillo López MP, Botia Suárez LV, Tobo Hernández JC, Hernández Rincón EH.   +4 more
europepmc   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

A Two-Level Illumination Correction Network for Digital Meter Reading Recognition in Non-Uniform Low-Light Conditions. [PDF]

J Imaging
Fu H, Xie Z, Jiang W, Ma X, Yang D.
europepmc   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

Advanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei, Lekai Song, Songwei Liu, Yingyi Wen, Yaoqiang Zhou, Yang Liu, Pengyu Liu, Wenyu Cui, Xin Lu, Teng Ma, Zegao Wang, Guohua Hu   +11 more
wiley   +1 more source