Deep learning frameworks have often focused on either usability or speed, but not both.
PyTorch is a machine learning library that shows that these two goals are in fact compatible: it …

We report the annotation and analysis of the draft genome sequence of Brassica rapa accession
Chiifu-401-42, a Chinese cabbage. We modeled 41,174 protein coding genes in the B. …

A novel ZnO hierarchical micro/nanoarchitecture is fabricated by a facile solvothermal approach
in an aqueous solution of ethylenediamine (EDA). This complex architecture is of a core/…

This paper describes the development of glucose biosensors based on carbon nanotube (CNT)
nanoelectrode ensembles (NEEs) for the selective detection of glucose. Glucose …

A study was conducted to demonstrate the synthesis of monodisperse mesoporous silica
nanoparticle (MSN) suspensions and investigate the effect of nanoparticle size on cell uptake. …

There is an ever-growing demand for artificial intelligence. Optical processors, which
compute with photons instead of electrons, can fundamentally accelerate the development of …

Deep learning frameworks have often focused on either usability or speed, but not both.
PyTorch is a machine learning library that shows that these two goals are in fact compatible: it …

OrthoVenn is a powerful web platform for the comparison and analysis of whole-genome
orthologous clusters. Here we present an updated version, OrthoVenn2, which provides new …

NH 3 synthesis by the electrocatalytic N 2 reduction reaction (NRR) under ambient conditions
is an appealing alternative to the currently employed industrial method—the Haber–Bosch …

Electroconductive hydrogels are very attractive candidates for accelerated spinal cord injury
(SCI) repair because they match the electrical and mechanical properties of neural tissue. …