Results 161 to 170 of about 1,203,785 (302)
Source identification of sudden water pollution events in the Dongliao River using a hybrid machine learning framework. [PDF]
Wang Y, Wang Y, Shi P, Bian J, Chen C.
europepmc +1 more source
Research on the Optimal Regulation of Sudden Water Pollution. [PDF]
Ren H +6 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022. [PDF]
Yuan Z, Ma T.
europepmc +1 more source
AAA ABSTRACT Protein glycosylation and phosphorylation are critical post‐translational modifications (PTMs) governing nearly all cellular functions, yet their analysis remains challenging due to reliance on costly and unsustainable enrichment materials.
Jiaying Li +9 more
wiley +1 more source
A spatially differentiated water pollution policy leads to economic and health inequity. [PDF]
Luo Z, Ma L, Xie R, Song R.
europepmc +1 more source
Bibliometric analysis of the association between drinking water pollution and bladder cancer. [PDF]
Zhang Y +10 more
europepmc +1 more source
Tracking of [14C]Polystyrene Nanoplastics in Pregnant Mice
This study investigates [14C]polystyrene nanoplastic ([14C]PS) translocation in late‐stage pregnant mice after intranasal (0.5 mg of [14C]PS on GD12, GD14, and GD16, n = 6) and intravenous administration (1.5 mg of [14C]PS on GD16, n = 6). 14C‐radiolabel allows quantitative tracking of unmodified polystyrene nanoplastics.
Olga Khaybullina +2 more
wiley +1 more source

