The continuing significance of chiral agrochemicals
In the time frame 2018–2023, around 43% of the 35 chiral agrochemicals introduced to the market (herbicides, fungicides, insecticides, acaricides, and nematicides) contain one or more stereogenic centers in the molecule, and almost 69% of them have been marketed as racemic mixtures of enantiomers or stereoisomers.
Peter Jeschke
wiley +1 more source
Quinoa <i>CqNLP9</i>: a possible regulator of nitrogen metabolism under low nitrogen stress. [PDF]
Xu R +7 more
europepmc +1 more source
This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee +2 more
wiley +1 more source
Multimodal machine learning and Raman spectroscopy uncover biochemical pathways of autumnal leaf senescence. [PDF]
Clark KR +2 more
europepmc +1 more source
A review of the FATIMA Yellow Sea field campaign research
The FATIMA marine fog project took place over the Sable Island region of eastern Canada (summer 2022) and the Yellow Sea of the Republic of Korea (ROK, summer 2023). Its goals are to improve marine fog monitoring and forecasting. Instrumented multiple research vessels, aircraft, tethered balloon and autonomous systems, ocean observation sites, and ...
Seok Lee +50 more
wiley +1 more source
Effects of functional characteristics of prickly ash leaves on yield following increased supply of nitrogen fertilizers. [PDF]
Liu J +8 more
europepmc +1 more source
Research on the early warning indicator system for red tide disasters in the nearshore sea area in Qinhuangdao. [PDF]
Yu L +6 more
europepmc +1 more source
Effect of nano-NPK fertilizer and BAP on growth and flowering of Viola tricolor. [PDF]
Al-Hashemi FH +3 more
europepmc +1 more source
Optimizing biomass production and antioxidant dynamics in Ceratophyllum demersum L. using multi-walled carbon nanotubes and machine learning models. [PDF]
Altaf MT +9 more
europepmc +1 more source

