T follicular helper (T FH ) cells are specialized effector CD4 + T cells critical to humoral
immunity. Whether post-transcriptional regulation has a function in T FH cells is unknown. Here, …

The notion of personalized medicine demands proper prognostic biomarkers to guide the
optimal therapy for an invasive breast cancer patient. However, various risk prediction models …

Convolutional neural networks (CNNs) are widely utilized in hyperspectral image (HSI)
classification due to their powerful capability to automatically learn features. However, ordinary …

Granularity analysis is one of the most essential issues in authenticate under microscope.
To improve the efficiency and accuracy of traditional manual work, an convolutional neural …

The use of deep learning methods in hyperspectral image (HSI) classification has been a
promising approach due to its powerful ability to automatically extract features in recent years. …

In this work, one-dimensional core–shell Cu@Ni nanorods which were anchored on two
dimensional reduced graphene oxide (rGO) heterostructures were successfully prepared by a …

AlCoCrFeNiTi 0.5 high-entropy alloy was fabricated, and the effects of heat treatment on the
microstructure, mechanical properties and corrosion resistance of this alloy were …

Curcumin is extracted from the rhizomes of the traditional Chinese herb Curcuma longa.
Our previous study indicated curcumin was able to function as a sonosensitizer. Hydroxyl …

In this study, three hierarchical porous ZnO flowers were prepared via calcination of the
precursor at different temperatures (400 C, 500 C and 600 C). It can be found that the calcination …

In recent years, deep neural networks have exhibited numerous advantages in hyperspectral
image classification (HIC). However, owing to the limited number of training samples of …