Results 221 to 230 of about 4,903,537 (303)
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Mapping coastal forest retreat using convolutional neural networks and different satellite imagery. [PDF]
Tajudeen TT +3 more
europepmc +1 more source
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu +4 more
wiley +1 more source
Semiochemical inhibitors for protecting conifers from bark beetles (Coleoptera: Curculionidae) in the Western United States: research, development, and application. [PDF]
Fettig CJ, Audley JP.
europepmc +1 more source
Corramycin, a myxobacterial natural product antibiotic, exhibits potent bactericidal activity against multidrug‐resistant Mycobacterium tuberculosis. The compound hijacks bacterial transporters such as BacA and OppABCD to enter the cell and inhibits DNA synthesis through a previously unrecognized mode of DNA gyrase poisoning, locking the enzyme in an ...
Franziska Fries +25 more
wiley +1 more source
Illegal Wildlife Trade in Kathmandu Valley: A Hub of Biodiversity Crime. [PDF]
Koju NP, Tamang BM.
europepmc +1 more source
Multi‐Scale Bionic Structure Constructs Biomass Flame‐Retardant Thermal Insulation Foam Material
Inspired by mussel adhesion and hierarchical brick‐and‐mortar architectures, a cellulose‐based biomimetic foam is constructed by anchoring bentonite nanosheets onto a polydopamine‐decorated cellulose nanofiber network. The resulting foam combines low thermal conductivity with intrinsic flame retardancy and full biodegradability, presenting a ...
Jianming Liao +10 more
wiley +1 more source
A Machine Learning Approach to Predict <i>Listeria monocytogenes</i> Growth by Integrating FSSP and PMP Simulations: A Focus on <i>t</i><sub>100</sub> as a Possible Endpoint Parameters for Predictive Models. [PDF]
Terlizzi M +6 more
europepmc +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source

