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Leptospermone acts as a predominantly non-competitive β-triketone inhibitor of tyrosinase
Multi-target machine learning for predicting mechanical properties of FDM-printed polymer components
Synthesis and characterization of Curcuma Caesia plant root extract-mediated ZnO nanoparticles: efficacy as soil conditioner and plant growth promoter
Abstract Green synthesis of metal oxide nanoparticles is emerging as potential application for sustainable farming. Zinc oxide nanoparticles (ZnO NPs) were successfully biosynthesized by Curcuma caessia rhizome extract as a reducing and stabilizing agents in the present investigation and they were applied to test their role as a soil conditioner and growth promoter for Abelmoschus esculentus . Characterization of the synthesized ZnO NPs was carried out by UV–Vis spectroscopy, FTIR, XRD, SEM, AFM, dynamic light scattering and ζ-potential analysis. The UV–Vis absorption spectrum exhibited an absorbance at 340 nm, indicating the formation of ZnO and the crystalline nature of this product was confirmed by XRD measurements with average size along (002) plane equals 43 nm. The hydrodynamic size of the nanoparticles was shown to be 217 nm with a ζ-potential of −22.1 mV, reflecting an acceptable colloidal stability. Field and germination studies revealed that seed germination, vegetative growth, flowering, and yield parameters were significantly improved in ZnO NP-treated plants compared to control ones in a dose-dependent manner. Additionally, ^1H-NMR metabolomics of okra pods indicated changes in primary and secondary metabolite profiles, indicating possible modulation of metabolic pathways by ZnO NP. The findings of the study revealed that Curcuma caesia – synthesized ZnO NPs acted as an eco-friendly nanomaterial to modulate plant growth and metabolic performance suggesting its possible use toward sustainable farming.
Load frequency control of a PV–DSTS integrated thermal–hydro power system using a CCSA-optimized fuzzy fractional-order parallel controller
Optimization of fin design and nanoparticle doping for accelerated PCM melting
Microstructural insights into the functional morphology and formation logic of spherulitic–fibrous prismatic architecture in the shell–like eggcase of the argonaut octopods
A multi-task masked autoencoder with GAN-based augmentation for PD-L1 prediction from chest CT images
New-found brain network is a ‘secret system’ made of helper cells
Rescue of ICSI failure in non-obstructive azoospermia by switching from cryopreserved to fresh testicular sperm: a paired clinical analysis
Multivariate analysis of morpho-chemo variations in Anethum graveolens L. accessions
Effectiveness of telemonitoring on clinical outcomes in patients with heart failure: a randomized clinical trial
Meet Ace, the table-tennis robot that can beat elite players
Multiclass lung cancer detection using a hybrid capsule inspired deep neural network
Bimetallic Fe/K γ-cyclodextrin metal–organic frameworks with enhanced loading capacity and tunable release behavior
Daily briefing: Big G is more mysterious than ever
Smart transparent surfaces for energy-efficient buildings: enabling 5G mmWave connectivity with multispectral compatibility
Keeping the ‘fairy tale’ of the Marine Biological Laboratory alive
Storing accepted scientific names alone can lead to misinterpretation of botanical data
Abstract Botanists use accepted scientific names from authoritative databases to standardise taxonomic classifications. As taxonomic understanding evolves, these databases are updated, causing accepted names to change over time. A key decision when creating datasets about plants is whether to store the scientific names as originally recorded in a data source or to resolve them to currently accepted names. This decision partly depends on the transitivity of name resolution across taxonomic database versions: if name A resolves to B as the ‘accepted’ name in one version, and B to C in a later version, will A also resolve to C in that later version? Using the World Checklist of Vascular Plants and World Flora Online, we demonstrate that this transitivity fails for approximately 1% and 6% of names, respectively, and that the number of these discrepancies increases as new taxonomy versions are released. We recommend that botanical datasets store verbatim names as found and resolve them to accepted names as close to the point of end-use as possible, using the most recent taxonomic database.