Northern Lights seen across Scotland as sky turns green, pink and red
The Northern Lights, also known as aurora borealis, is a natural light display in the Earth's sky, and is mostly seen in high ...
Key decay mechanism behind superior biological effects of heavy-ion cancer therapy uncovered
Heavy-ion therapy, one of the most advanced radiotherapy techniques, has proven to be more effective than conventional X-rays ...
IEEE10d
SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification
Diverging from conventional approaches that emphasize lexical-level attention, this study introduces a novel Squeeze-and-Excitation Convolutional Neural Network (SECNN) that implements channel-wise ...
Physicists use optical vortex beams to control atom ionization
A team of researchers from the University of Ottawa has made significant strides in understanding the ionization of atoms and ...
PNAS15d
Atomic ionization: sd energy imbalance and Perdew–Zunger self-interaction correction energy penalty in 3d atoms
Contributed by John P. Perdew; received September 12, 2024; accepted January 23, 2025; reviewed by Filipp Furche, Robert O. Jones, and Hannes Jonsson ...
C&EN21d
Underestimated Cumulative Intake Risk of Veterinary Antibiotics Across Multiple Matrices within a Coupled Breeding–Cropping Model
Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Department of Environmental Science, Zhejiang University, Hangzhou 310058, China ...
ArchDaily1mon
Air Ionization: When Negative Can Be Positive in Built Spaces
In 1899, German physicists Elster and Geitel were among the first to study air ionization, identifying how ions are formed in the atmosphere. Later research, particularly in the 1930s and 1950s ...
IEEE4mon
Squeeze and Excitation-Based Multiscale CNN for Classification of Steady-State Visual Evoked Potentials
Our approach integrates a multiscale convolutional neural network with a squeeze excitation module (SEMSCNN). This fusion leverages convolutional neural networks (CNNs)’ local feature learning ...