Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Fast and effective molecular property prediction with transferability map
Transfer learning improves molecular property prediction in limited datasets, yet suffers from negative transfer due to insufficient relatedness. We develop a principal gradient-based measurement to evaluate transferability before applying transfer learning, significantly improving the performance.
Diet switch pre-vaccination improves immune response and metabolic status in formerly obese mice
Metabolic disease is linked to severe complications upon influenza virus infection, making a vaccination a priority. Yet, vaccine responses are less effective in these same hosts. Here we examined how the timing of diet switching affected influenza vaccine efficacy in diet-induced obese mice.
Reducing supply risk of critical materials for clean energy via foreign direct investment
Our study provides a comprehensive overview of how Foreign Direct Investment influences the supply security of critical materials necessary for the clean energy transition.
Groundwater arsenic removal by a bioinspired porous membrane
Arsenic is one of the most toxic elements on earth, and a class 1 carcinogenic. The natural occurrence of arsenic in groundwaters is recognized as the major source of human exposure to this element. The problem of As contamination of water is therefore a major issue in different areas of the world.
Cancer-Alterome, how literature resources contribute to the refined interpretation of cancer pathology ?
"This study introduces Cancer-Alterome, a literature-mined dataset that focuses on the regulatory events of an organism’s biological processes or clinical phenotypes caused by genetic alterations. It empowers investigation of cancer pathology, enabling tracking of relevant literature support."
