Results 111 to 120 of about 156,340 (282)

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Interval-Valued Fuzzy Parameterized Intuitionistic Fuzzy Soft Sets and Their Applications

Cumhuriyet Science Journal, 2019
In recent years, the fuzzy sets, interval-valued fuzzysets, intuitionistic fuzzy sets and soft sets, which offer differentperspectives for the structures containing the uncertainties, have attractedthe interest of many researchers.
Hüseyin Kamacı
doaj   +1 more source

Molecularly Bridged Heterointerface Engineering: Designing Transparent, Wear‐Resistant, Hard yet Flexible Optoelectronic Protective Film

Advanced Science, EarlyView.
A molecular‐bridging heterogeneous interface engineering strategy is introduced to combine a polyhedral oligomeric silsesquioxane (POSS)‐based hard coating with a colorless polyimide (CPI)‐based flexible layer. The robust heterogeneous interface endows the integrated system with the superior properties of both layers and their synergistic ...
Huiyang Lu, Zihui Liu, Jianan Yuan, Yunhao Wei, Shuangfei Xiang, Qinghua Lu   +5 more
wiley   +1 more source

Influence of Bottom Electrodes on the Ferroelectric Stability of AlScN Film at High Temperatures

Advanced Electronic Materials, EarlyView.
The thermal stability of AlScN depends on the bottom electrode. When the bottom electrode possesses compressive stress, tensile strain develops in the AlScN upon thermal annealing, reducing the switching barrier. When the bottom electrode forms a coherent interface with AlScN, significant tensile strain and defects are generated in the AlScN layer ...
Kyung Do Kim, Seung Kyu Ryoo, Min Kyu Yeom, Dong Jae Kim, Cheol Seong Hwang   +4 more
wiley   +1 more source

Illuminating the Intracellular World: Breakthroughs in Nanoscale Optoelectronics

Advanced Electronic Materials, EarlyView.
This perspective explores optoelectronic biointerfaces spanning macroscale flexible devices to nanoscale intracellular systems, emphasizing their integration across dimensions. It examines capacitive, Faradaic, and photothermal mechanisms that enable light‐driven control of cellular activity and highlights key material and design challenges in ...
Tania Assaf, Menahem Y. Rotenberg
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source