Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …

Fracture is one of the most commonly encountered failure modes of engineering materials
and structures. Prevention of cracking-induced failure is, therefore, a major concern in …

Research into polymers incorporating polyhedral oligomeric silsesquioxane (POSS) has
intensified during the past several years, revealing new fundamental polymer physics, new …

Cucumber is an economically important crop as well as a model system for sex
determination studies and plant vascular biology. Here we report the draft genome …

To investigate the mechanism of inhibition of silver ions on microorganisms, two strains of
bacteria, namely Gram‐negative Escherichia coli (E. coli) and Gram‐positive …

We report classes of electronic systems that achieve thicknesses, effective elastic moduli,
bending stiffnesses, and areal mass densities matched to the epidermis. Unlike traditional …

The development of noninvasive methods to detect and monitor tumors continues to be a
major challenge in oncology. We used digital polymerase chain reaction–based …

We describe a straightforward PCR‐based approach to the deletion, tagging, and
overexpression of genes in their normal chromosomal locations in the fission yeast …

Self-supervised learning (SSL) achieves great success in speech recognition, while limited
exploration has been attempted for other speech processing tasks. As speech signal …

Recently, a growing interest has been seen in deep learning-based semantic segmentation.
UNet, which is one of deep learning networks with an encoder-decoder architecture, is …