Unveiling Global Diversity of Patescibacteriota and Functional Interactions with Host Microbes
Patescibacteriota represents a diverse group of ultra‐small epibiotic bacteria, which is largely overlooked. By integrating ribosomal protein S3‐based community profiling with MAG‐based metabolic potential analyses, this study provides new insights into their distribution, diversity, and potential interactions with other bacteria across diverse ...
Yanhan Ji +12 more
wiley +1 more source
Temperature- and humidity-modified associations between ambient air pollution and syncope outpatient visits: a time series analysis in Beijing, China. [PDF]
Mu H +7 more
europepmc +1 more source
Functionalization of 3D-Printed Plastics for the Photocatalytic Removal of Organic Pollutants in Air
Manuel J. Dopazo +4 more
openalex +2 more sources
Decision-Making during Control Pollutant Emissions from Pellet Burning with Tube Gas Heaters [PDF]
Kostiantyn Dudkin +5 more
openalex +1 more source
A Review on Biodegradable Materials of Sustainable Soft Robotics and Electronics
Biodegradable materials are gaining increasing attention in soft robotics and electronics due to their environmental friendliness, showing great potential for sustainability. In this review, the classification of biodegradable materials, their applications in the field of soft robotics and electronics, as well as the challenges and future prospects ...
Yizhu Xie +8 more
wiley +1 more source
Influence of depopulation on pollutant loads generated in the Seto inland sea basin. [PDF]
Okamoto S, Nakatani Y.
europepmc +1 more source
A new zinc hybrid guanidine catalyst [Zn{(R,R)TMGNMe2(1,2)ch}2](OTf)2 (C1) shows very high catalytic activity in the polymerization of cyclic esters and in the depolymerization of these polyesters. Using C1 in the ring‐opening polymerization of lactide and caprolactone under industrially relevant conditions, astonishing rate constants of the same order
Tabea Becker +8 more
wiley +1 more source
A hybrid approach leveraging meta-heuristic and ensemble learning for time-sensitive prediction of pollutant concentrations. [PDF]
Kansal P, Bedi J, Jain S.
europepmc +1 more source

