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 (…

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

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 …

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-…

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 …

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-…

Context.—Lysophosphatidic acid (LPA) has been shown to stimulate proliferation of ovarian
cancer cells and is present in the ascitic fluid of patients with ovarian cancer.Objectives.—To …

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources. …

… 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 …