Purpose This paper aims to provide an overview of key definitions related to ChatGPT, a
public tool developed by OpenAI, and its underlying technology, Generative Pretrained …

Humans rely increasingly on sensors to address grand challenges and to improve quality of
life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are …

The triglyceride-glucose (TyG) index has been identified as a reliable alternative biomarker
of insulin resistance (IR). Recently, a considerable number of studies have provided robust …

We present a new method for synthesizing high-resolution photo-realistic images from
semantic label maps using conditional generative adversarial networks (conditional GANs) …

The reference human genome sequence set the stage for studies of genetic variation and its
association with human disease, but epigenomic studies lack a similar reference. To …

New therapeutic targets for noncognitive reductions in energy intake, absorption, or storage
are crucial given the worldwide epidemic of obesity. The gut microbial community …

We propose spatially-adaptive normalization, a simple but effective layer for synthesizing
photorealistic images given an input semantic layout. Previous methods directly feed the …

Existing deep learning based image inpainting methods use a standard convolutional
network over the corrupted image, using convolutional filter responses conditioned on both …

The laboratory mouse shares the majority of its protein-coding genes with humans, making it
the premier model organism in biomedical research, yet the two mammals differ in …

Although it is known that the methylation of DNA in 5′ promoters suppresses gene
expression, the role of DNA methylation in gene bodies is unclear,,,,. In mammals, tissue …