zoology

Habituation and sensitization learning in adult solitary ascidians

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Okano, H., Hirano, T. & Balaban, E. Learning and memory. Proc. Natl. Acad. Sci. USA. 97, 12403–12404. https://doi.org/10.1073/pnas.97.23.12403 (2000). Google Scholar  Byrne, J. H. & Hawkins, R. D. Nonassociative learning in invertebrates. Cold Spring Harb Perspect. Biol. 7, a021675. https://doi.org/10.1101/cshperspect.a021675 (2015). Google Scholar  Thompson, R. F. & Spencer, W. A. Habituation: a model phenomenon for … Read more

Systematic review and meta-analysis of the spatio-temporal changes in apparent tsetse fly density in Uganda from 1980 to 2022

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Swallow, B. Impacts of trypanosomiasis on African agriculture. PAAT Technical and Scientific Series vol. 2. Rome, FAO. https://openknowledge.fao.org/handle/20.500.14283/x4755en (2000). Kristjanson, P. M., Swallow, B. M., Rowlands, G. J., Kruska, R. L. & De Leeuw, P. N. Measuring the costs of African animal trypanosomosis, the potential benefits of control and returns to Research. Cecchi, G., Paone, … Read more

Deep learning framework for timely detection and classification of chili leaf diseases and pests

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Kanaparthi Kantharaju, S. et al. Deep Learning Methods for Detecting Chilli Pests: A Novel Performance Analysis. https://doi.org/10.12912/27197050/187071. (2024). https://doi.org/10.12912/27197050/187071  Pengyan Su, H. et al. Improvement of the YOLOv5 Model in the Optimization of the Brown Spot Disease Recognition Algorithm of Kidney Bean. https://doi.org/10.3390/plants12213765 Xue, Z. et al. YOLO-Tea: A Tea Disease Detection Model Improved by YOLOv5. … Read more

Making CITES count for sharks and rays – Nature

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Making CITES count for sharks and rays  Nature From policy to implementation: protecting wildlife today, teaching ocean stewards tomorrow  International Fund for Animal Welfare | IFAW Source link