As the power system is facing a transition toward a more intelligent, flexible, and interactive
system with higher penetration of renewable energy generation, load forecasting, especially …

Background The emergence of coronavirus disease 2019 (COVID-19) is a major healthcare
threat. The current method of detection involves a quantitative polymerase chain reaction (…

We examine how financial market development affects technological innovation. Using a
large data set that includes 32 developed and emerging countries and a fixed effects …

IDH1 and IDH2 mutations occur frequently in gliomas and acute myeloid leukemia, leading
to simultaneous loss and gain of activities in the production of α-ketoglutarate (α-KG) and 2-…

Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer-…

… Wenli Xu calculated the distribution of the diffraction of energy for LAMOST in detail for
four special situations and arrived at a similar conclusion that 80% of the diffracted energy is …

There is pressing urgency to understand the pathogenesis of the severe acute respiratory
syndrome coronavirus clade 2 (SARS-CoV-2), which causes the disease COVID-19. SARS-…

… Yan Xu, who has played an important role, was asked to be the second author. … most
elegant formulas—the Lagrange-Xu and Gauss-Xu equations of motion—were derived rigorously …

This paper proposes a framework for quantitatively evaluating interactive LLMs such as
ChatGPT using publicly available data sets. We carry out an extensive technical evaluation of …

Single-cell technologies have transformed our understanding of human tissues. Yet, studies
typically capture only a limited number of donors and disagree on cell type definitions. …