This study reviews the technique of convolutional neural network (CNN) applied in a specific
field of mammographic breast cancer diagnosis (MBCD). It aims to provide several clues on …

Lithium-oxygen batteries with ultrahigh energy density have received considerable attention
as of the future energy storage technologies. The development of effective electrocatalysts …

Since Notch signaling plays a critical role in stem cells and oncogenesis, we hypothesized
that Notch signaling might play roles in cancer stem cells and cancer cells with a stem cell …

Single atoms catalysts’ (SACs) applications in the energy storage field are hindered by their
insufficient stability and poor recyclability due to their oxidation and agglomeration. To …

Background Prostate cancer (PCa) is the most commonly diagnosed cancer in men. Various
molecular mechanisms account for PCa progression and elucidation of these mechanisms …

No-reference image quality assessment is of great importance to numerous image processing
applications, and various methods have been widely studied with promising results. …

The RNA-binding protein LIN28A regulates the translation and stability of a large number of
mRNAs as well as the biogenesis of certain miRNAs in embryonic stem cells and …

Modification of a photocatalyst with single-atom metals to maximize atomic utilization and
suppress charge carrier recombination is an effective strategy to dramatically improve the …

The silica aerogel with high specific surface area and large pore volume was successfully
synthesized using oil shale ash (OSA) via ambient pressure drying. The oil shale ash was …

This paper proposed a defect detection algorithm for fabrics with complex texture based on
dual-scale over-complete dictionary. The core was to learn the features of defect-free fabrics …