Results 181 to 190 of about 19,074 (293)
Abstract The current understanding of crew health maintenance is founded upon decades of physiological research conducted in terrestrial spaceflight analogues and in low Earth orbit, particularly on the International Space Station. However, as we progress towards the Lunar Gateway and interplanetary missions, it is imperative that the tools employed to
Rodrigo Fernandez‐Gonzalo +3 more
wiley +1 more source
Euglena gracilis cells grown in the dark accumulate a β-1,3-glucan called paramylon, synthesized from organic carbon sources. Paramylon has potential applications as a raw material for bioplastics and nanofibers.
ハヤシ, マサヒロ +5 more
core
Phenotypic scoring of canola blackleg severity using machine learning image analysis
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos +11 more
wiley +1 more source
High‐throughput image‐based phenotyping of soybean hilum color
Abstract Hilum color in soybean (Glycine max [L.] Merr.) is an important morphological trait influencing market classification and seed quality traits, yet its phenotyping is largely subjective, relying on visual inspection and assignment to one of eight color classes. This study developed an image‐based high‐throughput pipeline to measure and classify
Katherine Fortune +2 more
wiley +1 more source
Exploiting the ability of Bacillus subtilis to synthetize surfactin under oxygen limitation. [PDF]
Hiller E +5 more
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source
Process-Driven Acetate-Based Lipid Production by the Oleaginous Yeast <i>Lipomyces starkeyi</i>. [PDF]
Ishioka A +5 more
europepmc +1 more source
Expression of cytochrome P450 in Escherichia coli fed-batch cultivations
Karoline Marisch +4 more
openaire +1 more source

