[HTML][HTML] Ferroptosis: past, present and future
J Li, F Cao, H Yin, Z Huang, Z Lin, N Mao, B Sun… - Cell death & …, 2020 - nature.com
Ferroptosis is a new type of cell death that was discovered in recent years and is usually
accompanied by a large amount of iron accumulation and lipid peroxidation during the cell …
accompanied by a large amount of iron accumulation and lipid peroxidation during the cell …
All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments including social networks, …
have created various computer-mediated virtual environments including social networks, …
Recent advances in two-dimensional materials beyond graphene
The isolation of graphene in 2004 from graphite was a defining moment for the “birth” of a
field: two-dimensional (2D) materials. In recent years, there has been a rapidly increasing …
field: two-dimensional (2D) materials. In recent years, there has been a rapidly increasing …
Automatic differentiation in pytorch
…, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin… - 2017 - openreview.net
In this article, we describe an automatic differentiation module of PyTorch — a library designed
to enable rapid research on machine learning models. It builds upon a few projects, most …
to enable rapid research on machine learning models. It builds upon a few projects, most …
Pytorch: An imperative style, high-performance deep learning library
…, G Chanan, T Killeen, Z Lin… - Advances in neural …, 2019 - proceedings.neurips.cc
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 …
PyTorch is a machine learning library that shows that these two goals are in fact compatible: it …
Evolutionary-scale prediction of atomic-level protein structure with a language model
Recent advances in machine learning have leveraged evolutionary information in multiple
sequence alignments to predict protein structure. We demonstrate direct inference of full …
sequence alignments to predict protein structure. We demonstrate direct inference of full …
Vertical and in-plane heterostructures from WS2/MoS2 monolayers
… c, Z-contrast image intensity profile along the dashed line in b, … e, Top: Z-contrast image of
the bilayer region with a 2H stacking … f, Z-contrast image of the step edge of the WS 2 /MoS 2 …
the bilayer region with a 2H stacking … f, Z-contrast image of the step edge of the WS 2 /MoS 2 …
Judging llm-as-a-judge with mt-bench and chatbot arena
Evaluating large language model (LLM) based chat assistants is challenging due to their
broad capabilities and the inadequacy of existing benchmarks in measuring human …
broad capabilities and the inadequacy of existing benchmarks in measuring human …
Durvalumab plus platinum–etoposide versus platinum–etoposide in first-line treatment of extensive-stage small-cell lung cancer (CASPIAN): a randomised, controlled …
…, J Fang, J Feng, Z Han, J Hu, Y Hu, W Li, Z Liang, Z Lin… - The Lancet, 2019 - thelancet.com
Background Most patients with small-cell lung cancer (SCLC) have extensive-stage disease
at presentation, and prognosis remains poor. Recently, immunotherapy has demonstrated …
at presentation, and prognosis remains poor. Recently, immunotherapy has demonstrated …
[HTML][HTML] Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images
… In the scenario where the underlying goal is to obtain an interpretation z of a decision made
by a reference network \(N_{ref}\) (in this case, COVID-Net) for an input signal x (in this case, …
by a reference network \(N_{ref}\) (in this case, COVID-Net) for an input signal x (in this case, …