Results 191 to 200 of about 5,885,991 (322)

Supervised learning in the brain [PDF]

The Journal of Neuroscience, 1994
openaire   +3 more sources

Volumetric 3D Printing and Melt‐Electrowriting to Fabricate Implantable Reinforced Cardiac Tissue Patches

Advanced Materials, EarlyView.
This study presents an implantable reinforced cardiac patch (RCPatch) combining volumetrically 3D‐printed metamaterials with melt‐electrowritten (MEW) meshes. The design integrates tunable stiff polymer structures with soft, cell‐laden hydrogels. The RCPatch withstands suturing, intraventricular pressure, and cardiac contraction in a large animal ...
Lewis S. Jones, Hector Rodriguez Cetina Biefer, Manuel Mekkattu, Quinten Thijssen, Alessio Amicone, Anna Bock, Miriam Weisskopf, Dennis Zorndt, Debora Meier, Li Zheng, Melanie Generali, Robert K. Katzschmann, Omer Dzemali   +12 more
wiley   +1 more source

Mixed-Supervised Learning for Cell Classification. [PDF]

Sensors (Basel)
Sun H, Guo D, Chen Z.
europepmc   +1 more source

ONLINE SUPERVISED LEARNING OF NON-UNDERSTANDING RECOVERY POLICIES [PDF]

, 2006
Dan Bohus, Brian Langner, Antoine Raux, Alan W. Black, Maxine Eskénazi, Alexander I. Rudnicky   +5 more
openalex   +1 more source

Spiro‐Phenothiazine Hole‐Transporting Materials: Unlocking Stability and Scalability in Perovskite Solar Cells

Advanced Materials, EarlyView.
Fluorene‐functionalized spiro‐phenothiazine (PTZ‐Fl) exhibits strong Li+ affinity and thermal stability, enabling a PCE of 25.75% in small‐area cells and 22.07% in 25 cm2 modules. Under ISOS‐L3 conditions, PTZ‐Flbased devices retain over 80% efficiency after 1000 hours, demonstrating superior stability and scalability compared to spiro‐OMeTAD for next ...
Javier Urieta‐Mora, Seung Ju Choi, Jaeki Jeong, Silvia Orecchio, Inés García‐Benito, Manuel Pérez‐Escribano, Joaquín Calbo, Likai Zheng, Minseop Byun, Seyeong Song, Gi‐Hwan Kim, Shaik M. Zakeeruddin, Seog‐Young Yoon, Yimhyun Jo, Agustín Molina‐Ontoria, Enrique Ortí, Nazario Martín, Michael Grätzel   +17 more
wiley   +1 more source

Self-supervised learning for generalizable particle picking in cryo-EM micrographs. [PDF]

Cell Rep Methods
Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y.   +4 more
europepmc   +1 more source

A New Data Selection Principle for Semi-Supervised Incremental Learning [PDF]

, 2006
Rong Zhang, Alexander I. Rudnicky
openalex   +1 more source

Self‐Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications

Advanced Materials, EarlyView.
This study presents a novel design of a neuromorphic pressure sensor that can generate self‐spiking symmetric signals with direct event‐based encoding through the integration of magnetic spheres and alternating coil circuits. The key advantages of this work include high linearity up to 200 kPa (R2 = 0.997), self‐spiking behavior for simplified signal ...
Jingyi Yang, Si Li, Hian Hian See, Kelu Yu, Aeree Kim, Jacob Kaihong Lim, Benjamin Tse, Shiwei Yang, Yan Zhi Tan, Xinzhi Zhang, Xuanyi Zhou, Quan Xiong, Yi En Kou, Linkun Liu, Eng Wei Goh, Marcelo H. Ang, Raye Chen‐Hua Yeow, Benjamin C. K. Tee   +17 more
wiley   +1 more source

Self-Supervised Learning to Unveil Brain Dysfunctional Signatures in Brain Disorders: Methods and Applications. [PDF]

Health Data Sci
Li Y, Yang Y, Chen Y, Ye C, Ma T.
europepmc   +1 more source

Action Learning—a learning and teaching method in the preparation programme for supervisors of midwives [PDF]

, 2006
Marianne Mead, Carole Yearley, Chris Lawrence, Cathy Rogers   +3 more
openalex   +1 more source