Results 91 to 100 of about 882,945 (335)
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett +19 more
wiley +1 more source
The American elm and Dutch elm disease [PDF]
Shortly after World War I, a new disease previously unknown among elms emerged in Holland. It spread rapidly from Europe to Great Britain (1927), United States (1930), and Canada (1945), killing millions of elms. The disease known, as Dutch elm disease (DED) is a wilt disease, caused by the fungus Ophiostoma ulmi.
openaire +1 more source
Resistance to Dutch Elm Disease Reduces Presence of Xylem Endophytic Fungi in Elms (Ulmus spp.)
Efforts to introduce pathogen resistance into landscape tree species by breeding may have unintended consequences for fungal diversity. To address this issue, we compared the frequency and diversity of endophytic fungi and defensive phenolic metabolites ...
J. Martín +6 more
semanticscholar +1 more source
An Edible H2O2 Biosensor for Gastrointestinal Metabolites and Peroxidase Enzyme Quantification
We present an edible biosensor for gastric fluid analysis that integrates a caffeic acid–horseradish peroxidase redox system into an edible electrolyte‐gated transistor. The device enables rapid, low‐volume detection of H2O2 and, with minimal modification, metabolites and enzyme activity in simulated gastrointestinal conditions.
Valerio Francesco Annese +10 more
wiley +1 more source
Neodymium-Iron-Boron (NdFeB) magnets are playing a crucial role in clean technologies. These materials contain critical materials that are subject to supply chain challenges.
Anna M. Dickinson-Lomas +4 more
doaj +1 more source
A robust method to generate functional human iPSC‐derived endothelial cells using inducible ETV2 expression. These cells self‐organize into stable, lumenized microvascular networks within microfluidic chips, surpassing conventional differentiation methods.
Shun Zhang +12 more
wiley +1 more source
Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks
Artificial intelligence techniques have been increasingly adopted by the plasma and fusion science to address problems like plasma reconstruction, surrogate modeling, and tokamak/stellarator optimization.
Anirban Samaddar +9 more
doaj +1 more source
Study of DIII-D tungsten erosion processes by using a carbon–tungsten mixed material model
The tungsten erosion process for an H-mode discharge from the DIII-D Metal Rings Campaign is modeled using OEDGE and TRIM.SP. The OEDGE code is employed to calculate tungsten erosion between edge-localized modes (ELMs).
G.L. Xu +9 more
doaj +1 more source
Hybrid Ensemble Pruning Using Coevolution Binary Glowworm Swarm Optimization and Reduce-Error
Ensemble pruning has been widely applied to improve the capacity of multiple learner system. Both diversity and classification accuracy of learners are considered as two key factors for achieving an ensemble with competitive classification ability ...
Xuhui Zhu +3 more
doaj +1 more source
μG2-ELM: An upgraded implementation of μ G-ELM
µG-ELM is a multiobjective evolutionary algorithm which looks for the best (in terms of the MSE) and most compact artificial neural network using the ELM methodology. In this work we present the µG2-ELM, an upgraded version of µG-ELM, previously presented by the authors. The upgrading is based on three key elements: a specifically designed approach for
B. Lacruz, D. Lahoz, P.M. Mateo
openaire +3 more sources

