Bed bug infestations: prevalence, correlates, and cross-sectional association with psychological symptoms in a large sample of tenants in Montreal, Canada. [PDF]
Riva M, Kaiser D, Dufresne P, Plante C.
europepmc +1 more source
Evaluation of the energy performance of the building envelope of duplex [PDF]
Matic Kuhar
openalex
The corrosion performance of X12CrMoWVNbN10‐1‐1 steel in chloride environments dramatically depends on pH. Acidic conditions trigger intense surface degradation, whereas neutral and alkaline media foster the formation of a compact and stable passive film, drastically reducing both general and localized corrosion.
Jovanka Pejić +5 more
wiley +1 more source
An N-terminal helix of Lsm11 stabilizes CPSF73 in U7 snRNP for histone pre-mRNA 3'-end processing. [PDF]
Desotell A +3 more
europepmc +1 more source
Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross‐Linking
ABSTRACT The exploration of protein structure and function stands at the forefront of life science and represents an ever‐expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS‐based structural proteomics is making significant strides in the
Haiyan Lu +4 more
wiley +1 more source
Time-Resolved Fluorescence Detection of Nicked DNA via Site-Specific Stacking of Sulfo-Cy3: The Role of Charge, Polarity, Linker, and Sequence Context. [PDF]
Berrocal-Martin R +5 more
europepmc +1 more source
Quantifying Protein–Glycan Interactions Using Native Mass Spectrometry
ABSTRACT Interactions between glycan‐binding proteins (GBPs) and carbohydrates (glycans) are essential to many biological processes relevant to human health and disease. For most GBPs, however, their glycan interactome—the repertoire of glycans recognized and their specificities—is poorly defined.
Duong T. Bui +4 more
wiley +1 more source
Two-photon excitation enables single-molecule detection of a fluorescent base analogue in DNA with high photostability. [PDF]
Sansom HG +5 more
europepmc +1 more source
Designing High‐Entropy Alloys With Low Stacking Fault Energy Through Interpretable Machine Learning
In this study, we developed an interpretable machine learning (ML) ensemble framework and, by integrating the VEC criterion with the proposed machine learning scoring parameter in the alloy composition screening process, successfully designed multiple CoCrFeNiMn‐based HEAs with TWIP/TRIP effects and without the BCC phase.
Shuai Nie +6 more
wiley +1 more source
Deep convolutional and fully-connected DNA neural networks. [PDF]
Liu X +11 more
europepmc +1 more source

