Results 161 to 170 of about 1,813,184 (347)

Bioelectrical Interfaces Beyond Excitable Cells: Cancer, Aging, and Gene Expression Modulation

Advanced Materials Interfaces, EarlyView.
ABSTRACT The investigation of biological conductivity has evolved from its classical foundation based on ionic fluxes underpinning cardiac and neuronal excitability to a multifaceted regulator of cellular physiology. Traditional approaches for probing electrical events in living matter focused largely on action potentials recording.
Paolo Cadinu, Matthew K. Burgess, Catarina Franco Jones, Marzia Iarossi, Manuel Schröter, Nako Nakatsuka, Mustafa B. A. Djamgoz, Gil Gonçalves, Sidahmed Abayzeed, Paola Sanjuán‐Alberte, Paula M. Mendes, Frankie J. Rawson, Malavika Nair, Michael Levin, Rosalia Moreddu   +14 more
wiley   +1 more source

Artificial intelligence and radiomics on computed tomography for differentiating hepatocellular carcinoma and intrahepatic cholangiocarcinoma: a multimodal integration approach. [PDF]

BMC Med Imaging
Pan C, Wang Y, Lu W, Chen B, Zou H, Yang Z, Zhang G, Hao J.   +7 more
europepmc   +1 more source

Evolution of Materials and Device Stacks for HfO2‐Based Ferroelectric Memories

Advanced Materials Interfaces, EarlyView.
This review summarizes engineering strategies for HfO2 based ferroelectric memories with focus on FeCAP and FeFET structures. It describes how dopant design, stress effects, and interface engineering improve the bulk ferroelectric response. It further discusses how channel engineering supports reliable memory characteristics and scalable integration ...
Eunjin Kim, Jiyong Woo
wiley   +1 more source

Biologically informed dual deep learning for skeletal maturity prediction in pediatrics. [PDF]

Front Radiol
Rezk E.
europepmc   +1 more source

Controller design for global fixed-time synchronization of delayed neural networks with discontinuous activations

Neural Networks, 2017
Leimin Wang, Z. Zeng, Junhao Hu, Xiaoping Wang   +3 more
semanticscholar   +1 more source

Record High Polarization at 2 V and Imprint‐Free Operation in Superlattice HfO2‐ZrO2 by Proper Tuning of Ferro and Antiferroelectricity

Advanced Materials Technologies, EarlyView.
Low‐power ferroelectric capacitors, based on superlattice HfO2‐ZrO2 is reported. With proper tuning of ferro and antiferroelectricity, an imprint‐free high switchable polarization charge (2Pr of 76 µC/cm2) is obtained with 2MV/cm leading to linear analog weight update and non‐volatile retention, providing a design guideline for emerging non‐volatile ...
Xinye Li, Padma Srivari, Mari Honkanen, Turkka Salminen, Sayani Majumdar   +4 more
wiley   +1 more source

A meta-analysis of neural systems underlying delay discounting: Implications for transdiagnostic research. [PDF]

Imaging Neurosci (Camb)
Lakhani NV, Souther MK, Boateng B, Kable JW.   +3 more
europepmc   +1 more source

Flow‐Adaptive Gas Sensing Enabled Using a Uniform Au Nanosheet Sensor Array and a Neural Network Inference

Advanced Materials Technologies, EarlyView.
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, Takahisa Tanaka, Yusuke Hamanaka, Ryo Toyoshima, Ken Uchida   +4 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

Artificial Intelligence in Cardiovascular MRI: From Imaging to Biomechanics and Diagnosis. [PDF]

J Thorac Imaging
Mahmoodi A, Yeluru A, Aguirre-Chavez J, Lamar-Bruno K, Punjabi K, Malkasian S, Song A, Masutani E, Hsiao A.   +8 more
europepmc   +1 more source