Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Complete Issue Volume 5 Issue 1
Editor, Journal of the Scholarship of Teaching and Learning
doaj
An analysis of the empirical research on SL/FL teaching and learning based on positive psychology: a systematic literature review. [PDF]
Miao J, Tian X, Zhang L, Zhang B, Ma L.
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Complete Issue Volume 9 Issue 3
Editor, Journal of the Scholarship of Teaching and Learning
doaj
Qualitative study on nurse preceptors' preparedness, roles and familiarity with the basic principles of teaching and learning in a district hospital in Ghana. [PDF]
Boakye DS +5 more
europepmc +1 more source
This study investigates the neuromorphic plasticity behavior of 180 nm bulk complementary metal oxide semiconductor (CMOS) transistors at cryogenic temperatures. The observed hysteresis data reveal a signature of synaptic behavior in CMOS transistors at 4 K.
Fiheon Imroze +8 more
wiley +1 more source
Editor Journal of the Scholarship of Teaching and Learning
doaj
Integrating digital health competencies in community-engaged medical education: A scoping review for developing teaching and learning strategies for digital health. [PDF]
Punzalan JK, Punzalan MG.
europepmc +1 more source
A Robotic Urinary Bladder Enabling Volume Monitoring and Assisted Micturition
An implantable robotic bladder is presented that can store urine in an origami‐designed enclosure. An inductance sensing principle can monitor and transfer the urine volume in real‐time. It can actively expand based on the amount of urine collected from kidneys and apply on‐demand mechanical compression to assist urination.
Izadyar Tamadon +4 more
wiley +1 more source

