Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …

This paper reviews the basic principles of radiometric geochronology as implemented in a
new software package called IsoplotR, which was designed to be free, flexible and future …

Contrastive learning (CL) recently has spurred a fruitful line of research in the field of
recommendation, since its ability to extract self-supervised signals from the raw data is well …

Small cell lung cancer (SCLC) is an aggressive malignancy that includes subtypes defined
by differential expression of ASCL1, NEUROD1, and POU2F3 (SCLC-A,-N, and-P …

Deep learning models can accurately predict molecular properties and help making the
search for potential drug candidates faster and more efficient. Many existing methods are …

Contrastive learning (CL) has recently been demonstrated critical in improving
recommendation performance. The underlying principle of CL-based recommendation …

The digital economy and the green economy are two major issues for economic recovery in
the post epidemic era. From spatial interaction spillover, we analyze and measure the …

Single-cell RNA sequencing technologies suffer from many sources of technical noise,
including under-sampling of mRNA molecules, often termed" dropout," which can severely …

Bayesian models have proved very powerful in analyzing large datasets of radiocarbon
(14C) measurements from specific sites and in regional cultural or political models. These …

Advances in fluorescence microscopy enable monitoring larger brain areas in-vivo with finer
time resolution. The resulting data rates require reproducible analysis pipelines that are …