Randomness is important for many information processing applications, including
numerical modelling and cryptography 1 , 2 . Device-independent quantum random-number …

Mass spectrometry-based proteomics empowers deep profiling of proteome and protein
posttranslational modifications (PTMs) in Alzheimer’s disease (AD). Here we review the …

In this paper, we propose an efficient embedding for modeling higher-order (n-gram) phrases
that projects the n-grams to low-dimensional latent semantic space, where a classification …

Positron emission tomography (PET) is used extensively in clinical oncology for tumor detection,
staging and therapy response assessment. Quantitative measurements of tumor uptake, …

Heavy-metal (Cd, Hg, and Pb)-containing semiconductor nanocrystals (NCs) have been
explored widely due to their unique optical and electrical properties. However, the toxicity risks …

Alzheimer's disease (AD) displays a long asymptomatic stage before dementia. We
characterize AD stage-associated molecular networks by profiling 14,513 proteins and 34,173 …

High-strength cementitious red mud-fly ash materials (RFMs) were formed from sodium
hydroxide and water glass mixed solutions, and their abilities to solidify heavy metal ions (HMs, …

Exploring durable electrocatalysts with high activity for oxygen evolution reaction (OER) in
acidic media is of paramount importance for H 2 production via polymer electrolyte membrane …

Cancer-associated fibroblasts (CAFs) are the predominant components of the tumor
microenvironment (TME) and influence cancer hallmarks, but without systematic investigation on …

This study aims to treat heavy metal pollutants in water by applying red mud particle waste.
An experiment on the static adsorption of heavy metal ions Pb 2 + (or Cd 2 + and Cu 2 + ) by …