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Exploring Palmaria palmata as a dietary ingredient for European sea bass (Dicentrarchus labrax) juvenilesNARA Subscribed
The red macroalgae Palmaria palmata is rich in protein and bioactive compounds and has been identified as a promising dietary ingredient for aquafeeds, with the potential to partially replace selected plant-based feed components. A digestibility trial and a growth trial were conducted to evaluate the potential of untreated and pretreated P. palmata as feed ingredients for juvenile European seabass ( Dicentrarchus labrax ), wit...
Codium tomentosum , a marine green macroalga is also produced in integrated multi-trophic aquaculture (IMTA) systems; however, its use in aquafeeds remains unexplored. This study evaluated the potential of C. tomentosum as a feedstuff for European seabass ( Dicentrarchus labrax ) and, for the first time, applied a high-solid-loading alkaline autoclave pre-treatment to enhance its nutritional value. Macroalgal biomass was treat...
Effect of soil fertilization on wood quality in clonal and seminal planting of Eucalyptus dunniiNARA Subscribed
The aim of this work was to evaluate the effect of soil mineral fertilization in clonal and seminal plantations of E. dunnii on wood quality and its relationship with tree crown and trunk variables. Data were collected in experimental plantations of E. dunnii at 8.5-years-old. The treatments were seminal and clonal propagation and soil fertilization: conventional formulation, slow-release, and control. Tree crown and trunk var...
Purpose The European Medicines Agency (EMA) guideline Declaration of Storage Conditions in the Product Information of Medicinal Products (CPMP/QWP/609/96/Rev.2) was last revised in 2007. Since then, advances in stability science, increased climatic variability, and evolving regulatory expectations have highlighted limitations in the framework, particularly the use of vague descriptors such as “room temperature” or “no special...
Application of the pair-input deep learning model for seismicity reassessment in CameroonNARA Subscribed
Applying advanced signal analysis and feature extraction methods to seismic datasets facilitates the extraction of key information from these valuable resources. In particular, advanced deep learning models can play a crucial role in this extraction process from seismic waveforms. This study aims to analyze the seismicity of the Cameroon area by deeply scanning an archived dataset from a temporary seismic network composed of 3...