Fluorescent bioprobes are powerful tools for analytical sensing and optical imaging, which
allow direct visualization of biological analytes at the molecular level and offer useful insights …

Convolutional neural network (CNN) depth is of crucial importance for image super-resolution
(SR). However, we observe that deeper networks for image SR are more difficult to train. …

Polymer encapsulated organic nanoparticles have recently attracted increasing attention in
the biomedical field because of their unique optical properties, easy fabrication and …

Corporate finance decisions are not made at random, but are usually deliberate decisions
by firms or their managers to self-select into their preferred choices. This chapter reviews …

Image-text matching has been a hot research topic bridging the vision and language areas.
It remains challenging because the current representation of image usually lacks global …

We explore how compensation policies following mergers affect a CEO's incentives to pursue
a merger. We find that even in mergers where bidding shareholders are worse off, bidding …

Premature aging syndromes often result from mutations in nuclear proteins involved in the
maintenance of genomic integrity. Lamin A is a major component of the nuclear lamina and …

The explosion of image data on the Internet has the potential to foster more sophisticated
and robust models and algorithms to index, retrieve, organize and interact with images and …

This paper presents and characterizes the Princeton Application Repository for Shared-Memory
Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). …

Decentralized and unstructured peer-to-peer networks such as Gnutella are attractive for
certain applications because they require no centralized directories and no precise control over …