Publications by authors named "I Carter"
Due to their value as a food source, fiber, and other products globally, there has been a growing focus on the wellbeing and health of small ruminants, particularly in relation to anemia induced by blood-feeding gastrointestinal parasites like . The objective of this study was to assess the packed cell volume (PCV) levels in blood samples from small ruminants, specifically goats, and create an efficient biosensor for more convenient, yet accurate detection of anemia for on-farm use in agricultural environments for animal production optimization. The study encompassed 75 adult male Spanish goats, which underwent PCV testing to ascertain their PCV ranges and their association with anemic conditions.
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- The study examines the challenges of manually analyzing root dynamics using images, highlighting issues like time consumption and annotator bias, especially in complex forest soils.
- AI tools, specifically a convolutional neural network (CNN), were tested for their ability to analyze root lengths in a diverse forest setting, but showed limitations in accuracy and precision compared to human experts.
- Results indicated that less experienced annotators overestimate root lengths, while the CNN model, though faster, still lacked the accuracy needed for ecological research, suggesting the need for further refinement of AI tools for natural environments.*
Introduction: Reducing soybean lipid emulsion (SLE) dose may prevent parenteral nutrition-associated cholestasis (PNAC) but effects on growth and neurodevelopment are unknown. The purpose of this study was to evaluate the effect of reduced dose SLE on growth and neurodevelopment.
Methods: Surgical neonates at 4 centers were randomized to standard SLE (3 g/kg/day) or reduced SLE (1 g/kg/day) over a 12-week period.