Advances and future directions in identifying specific taxa from microbial meta-omics data: from pipeline to deep learning. [PDF]
Zhang J +5 more
europepmc +1 more source
The sunscreen‐inspired nano‐pesticide, MCB@URFSL, provides UV‐shielding, enhanced rainfastness, and laccase‐responsive delivery for improved fungicidal efficacy and high ecological safety. ABSTRACT Fungicides are a crucial tool for protecting crops and ensuring consistent food supply.
Jin Yan +10 more
wiley +1 more source
Passive Acoustic Monitoring and Deep Learning Reveal a Lag From Rainfall to Gibbon Song Across a Mosaic Forest Landscape. [PDF]
Owens AF +9 more
europepmc +1 more source
Rainfall Shapes the Diversity of Soil Nitrogen‐Fixing Microorganisms Worldwide
This study reveals the distinctive pattern and mechanism of rainfall driving the global biodiversity and biogeography of soil potential N‐fixing microorganisms, and constructs the theoretical framework. The results guide us on how to maintain ecosystem productivity under future climate changes (e.g., whether a specific region needs more N fertilizers ...
Bin Hua +18 more
wiley +1 more source
Integrating deep learning, biological hierarchies, and high-resolution imagery to create a new identification tool for cryptic coral reef fishes. [PDF]
Reginato LF, Brandl SJ.
europepmc +1 more source
Advancing Fruit Bioimpedance Monitoring With Sustainable, Soft, And Bio‐Based Electrodes Beyond ECG
Electrical impedance spectroscopy enables non‐destructive fruit quality monitoring, but conventional ECG and needle electrodes compromise signal stability, fruit physiology, and sustainability. This perspective highlights the transition toward soft, biocompatible, and biodegradable electrode interfaces based on natural substrates, bio‐derived ...
Sundus Riaz +6 more
wiley +1 more source
Viral architects of the deep biosphere: reshaping the framework of sedimentary biogeochemistry. [PDF]
Wang C, Sun C.
europepmc +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Water Sources and Biomass Allocation Characteristics of Dominant Species in the Desert Riparian Forest Along the Keriya River, Northwest of China. [PDF]
Dai Y, Ye Z, Abdureyim A, Tang M, Yao K.
europepmc +1 more source

