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Excessive fine sediment deposition is a global pervasive issue in rivers and, in particular, for benthic organisms including macroinvertebrates. However, the assessment of fine sediment effects on the taxonomic and functional diversity of macroinvertebrate communities is challenging because of context-dependent confounding factors, such as river-flow conditions, land-use change, and anthropogenic pressures. By using a set of o...
Vitamin B12 (VitB12) plays a crucial role in neural homeostasis, and a high dose is preferred as treatment to support recovery from neural impairments. However, a significant knowledge gap remains regarding its dose-dependent effects, particularly in its influence on cellular recovery following neural damage. To address this, we utilized retinoic acid-differentiated SH-SY5Y cells, as an in vitro neural model, where we induced...
Development of a machine learning tool for the enhancement of carbon footprint prediction for cattle milk productionNARA Subscribed
Purpose The combination of machine learning (ML) and life cycle-based methodologies is a promising strategy to overcome some of the most relevant issues regarding carbon footprint (CF) calculation/prediction. This research presents an approach and a software tool to apply ML techniques with the aim of solving issues related to data availability in the life cycle inventory (LCI) and improving the accuracy of carbon footprint pr...