Learning to rank for information retrieval has gained a lot of interest in the recent years but
there is a lack for large real-world datasets to benchmark algorithms. That led us to publicly …

Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs continue …

Gliomas are the most common primary brain malignancies, with different degrees of
aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, ie, …

Fluorescent nanodiamond is a new nanomaterial that possesses several useful properties,
including good biocompatibility 1 , excellent photostability 1 , 2 and facile surface …

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–50%
of phenotypic variation in human height, but identifying the specific variants and …

Organometal halide perovskites can be processed from solutions at low temperatures to form
crystalline direct-bandgap semiconductors with promising optoelectronic properties 1 , 2 , 3 …

Detection of abusive language in user generated online content has become an issue of
increasing importance in recent years. Most current commercial methods make use of blacklists …

In this paper, we employ probabilistic neural network (PNN) with image and data
processing techniques to implement a general purpose automated leaf recognition for plant …

To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we
aggregated published meta-analyses of genome-wide association studies (GWAS), including …

We conducted a three-stage genetic study to identify susceptibility loci for type 2 diabetes (T2D)
in east Asian populations. We followed our stage 1 meta-analysis of eight T2D genome-…