Results 231 to 240 of about 8,374,235 (328)

PinMyMetal: a hybrid learning system to accurately model transition metal binding sites in macromolecules. [PDF]

Nat Commun
Zhang H, Zhong J, Gucwa M, Zhang Y, Ma H, Deng L, Mao L, Minor W, Wang N, Zheng H.   +9 more
europepmc   +1 more source

Exploring the Potential of Zero‐Dimensional Carbon Nanomaterials in Photoluminescent, Electrochemiluminescent and Electrochemical Sensors

Advanced Materials Interfaces, EarlyView.
Zero‐dimensional carbon nanomaterials are presented as multifunctional platforms linking structure, property, and sensing performance. Surface engineering and heteroatom doping modulate electron‐transfer and luminescent behavior, enabling electrochemical, photoluminescent, and electrochemiluminescent detection. Fundamental design principles, analytical
Gustavo Martins, Jeferson Luiz Gogola, Ava Gevaerd, Cristiane Kalinke, Paulo Roberto de Oliveira, Fabio Roberto Caetano, Bruno Campos Janegitz, Márcio Fernando Bergamini, Luiz Humberto Marcolino‐Junior   +8 more
wiley   +1 more source

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

GPSD: a hybrid learning framework for the prediction of phosphatase-specific dephosphorylation sites. [PDF]

Brief Bioinform
Han C, Fu S, Chen M, Gou Y, Liu D, Zhang C, Huang X, Xiao L, Zhao M, Zhang J, Xiao Q, Peng D, Xue Y.   +12 more
europepmc   +1 more source

Analysis of Orchestration Load and Teacher Agency in Smart Synchronous Hybrid Learning Environments

, 2023
Carruana Martín A, Alario-Hoyos C, Martínez-Monés A, Delgado Kloos C.   +3 more
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
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, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Medical Students' Perspectives on Physical, Online, and Hybrid Learning Modalities: A Mixed Methods Study From a Medical School in Mauritius. [PDF]

Cureus
Robinson J, Banerjee I, Reechaye D, Perrine ALA.   +3 more
europepmc   +1 more source

Unlocking the Potential of MXene‐Based Electrochemical Biosensors: A Review of Biofunctionalization Strategies and Biosensing Principles

Advanced Materials Technologies, EarlyView.
ABSTRACT Electrochemical biosensors enable the accurate and timely detection of clinical biomarkers, improving healthcare and precision medicine. MXene nanosheets, a class of 2D transition metal carbides, nitrides, and carbonitrides, are promising materials for developing next‐generation electrochemical biosensors due to their unique physicochemical ...
Muhsin Ali, Sharat Chandra Barman, Isobel Steer, Aya H. Alshareef, Dana Alsulaiman   +4 more
wiley   +1 more source

Correction: A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology. [PDF]

PLoS One
Sengupta D, Ali SN, Bhattacharya A, Mustafi J, Mukhopadhyay A, Sengupta K.   +5 more
europepmc   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source