Results 211 to 220 of about 2,984,438 (366)
Characterizing nitrogen cycling microorganisms and genes in sediments of the Three Gorges Reservoir. [PDF]
Han C +7 more
europepmc +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
Astaxanthin and thiamine dynamics in the copepod Temora longicornis in response to ultraviolet radiation exposure. [PDF]
Hylander S +7 more
europepmc +1 more source
Inhalable eugenol (EUG) from clove oil attenuates NAFLD by activating hepatic olfactory receptor Olfr544, triggering cAMP/PKA/CREB signaling to enhance lipolysis/oxidation. EUG concurrently restores gut microbiota, enriching probiotics (L. reuteri XR23/L. johnsonii XR25) and metabolites (IPA/5‐HIAA) that suppress lipogenesis.
Xiao‐Ran Wang +15 more
wiley +1 more source
Tritium contamination and hydrological transport in the Shagan River: An isotope hydrology study. [PDF]
Toktaganov T +4 more
europepmc +1 more source
Coastal dissolved organic carbon (DOC) represents one of the largest reduced carbon pools on Earth, and they are influenced by temperature. Across 7.6–35.9 °C ranges, the microbial‐mediated DOC dynamics is characterized by three temperature thresholds.
Junfu Dong +12 more
wiley +1 more source
Living Together Apart: Quantitative Perspectives on the Costs and Benefits of a Multipartite Genome Organization in Viruses. [PDF]
Johnson ML +5 more
europepmc +1 more source
By drawing inspiration from biological neural hierarchies and the working mechanisms of plasticity, researchers have constructed a series of bionic devices, including sensory devices, synapse devices, and artificial neural systems. They committed to simulating and surpassing the biological information processing function, thereby realizing the ...
Lu Yang +5 more
wiley +1 more source
Predicting the Activity Level of the Great Gerbil (<i>Rhombomys opimus</i>) via Machine Learning. [PDF]
Jiang F +9 more
europepmc +1 more source

