In this work we address the task of semantic image segmentation with Deep Learning and
make three main contributions that are experimentally shown to have substantial practical …

The objective of this study is to evaluate the effect of hydroxyapatite (HAP) nanoparticles
with different surface charges on the cellular uptake behavior and in vitro cell viability and …

Graphene oxide membranes—partially oxidized, stacked sheets of graphene 1 —can provide
ultrathin, high-flux and energy-efficient membranes for precise ionic and molecular sieving …

Cancer-associated fibroblasts (CAFs), a stromal cell population with cell-of-origin,
phenotypic and functional heterogeneity, are the most essential components of the tumor …

Blockchain technology is a core, underlying technology with promising application prospects
in the banking industry. On one hand, the banking industry in China is facing the impact of …

Due to continuous spread of coronavirus disease 2019 (COVID-19) worldwide, long-term
effective prevention and control measures should be adopted for public transport facilities, as …

We present a method to formulate algorithm discovery as program search, and apply it to
discover optimization algorithms for deep neural network training. We leverage efficient search …

We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion
tokens, whose overall performance, as measured by both academic benchmarks and internal …

Noncoding RNAs (ncRNAs) have numerous roles in development and disease, and one of
the prominent roles is to regulate gene expression. A vast number of circular RNAs (circRNAs…

The use of the thermoelastic martensitic transformation and its reverse transformation has
recently been proposed and demonstrated for several active control ap plications. However, …