Behavior regularized offline reinforcement learning
In reinforcement learning (RL) research, it is common to assume access to direct online
interactions with the environment. However in many real-world applications, access to the …
interactions with the environment. However in many real-world applications, access to the …
A membrane-based seawater electrolyser for hydrogen generation
Electrochemical saline water electrolysis using renewable energy as input is a highly desirable
and sustainable method for the mass production of green hydrogen 1 , 2 , 3 , 4 , 5 , 6 – 7 ; …
and sustainable method for the mass production of green hydrogen 1 , 2 , 3 , 4 , 5 , 6 – 7 ; …
Privacy-protective-GAN for privacy preserving face de-identification
Face de-identification has become increasingly important as the image sources are explosively
growing and easily accessible. The advance of new face recognition techniques also …
growing and easily accessible. The advance of new face recognition techniques also …
[PDF][PDF] ByteGNN: efficient graph neural network training at large scale
Graph neural networks (GNNs) have shown excellent performance in a wide range of
applications such as recommendation, risk control, and drug discovery. With the increase in the …
applications such as recommendation, risk control, and drug discovery. With the increase in the …
BACPI: a bi-directional attention neural network for compound–protein interaction and binding affinity prediction
Motivation The identification of compound–protein interactions (CPIs) is an essential step in
the process of drug discovery. The experimental determination of CPIs is known for a large …
the process of drug discovery. The experimental determination of CPIs is known for a large …
DeepSeek-Coder: when the large language model meets programming--the rise of code intelligence
The rapid development of large language models has revolutionized code intelligence in
software development. However, the predominance of closed-source models has restricted …
software development. However, the predominance of closed-source models has restricted …
Aggregation-induced emission (AIE), life and health
Light has profoundly impacted modern medicine and healthcare, with numerous luminescent
agents and imaging techniques currently being used to assess health and treat diseases. …
agents and imaging techniques currently being used to assess health and treat diseases. …
Intelligent Albumin-MnO2 Nanoparticles as pH-/H2 O2-Responsive Dissociable Nanocarriers to Modulate Tumor Hypoxia for Effective Combination Therapy.
A unique type of pH/H2 O2 dual-responsive intelligent nanoscale delivery system based on
albumin-coated MnO2 is presented, which is capable of modulating the tumor …
albumin-coated MnO2 is presented, which is capable of modulating the tumor …
Estimated global proportions of individuals with persistent fatigue, cognitive, and respiratory symptom clusters following symptomatic COVID-19 in 2020 and 2021
…, R Van Den Berg-Emons, E Wallin, M Witzenrath, Y Wu… - Jama, 2022 - jamanetwork.com
Importance Some individuals experience persistent symptoms after initial symptomatic
SARS-CoV-2 infection (often referred to as Long COVID). Objective To estimate the proportion of …
SARS-CoV-2 infection (often referred to as Long COVID). Objective To estimate the proportion of …
Applications of thermochromic and electrochromic smart windows: Materials to buildings
Thermochromic and electrochromic smart windows are increasingly receiving attention for
their specific ability to regulate the dynamics of light and heat. The goal of improving smart-…
their specific ability to regulate the dynamics of light and heat. The goal of improving smart-…