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Victor Olago, Mazvita Muchengeti, Elvira Singh and Wenlong C. Chen
We explored various Machine Learning (ML) models to evaluate how each model performs in the task of classifying histopathology reports. We trained, optimized, and performed classification with Stochastic Gradient Descent (SGD), Support Vector Machine (SV...
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Juan Asdrúbal Flores-Pacheco,Emigdio Jordán Muñoz-Adalia,Pablo Martínez-Álvarez,Valentín Pando,Julio J. Díez-Casero,Jorge Martín-García
Pág. eSC07
Aim of the study: To assess the impact on two mycoviruses recently described in F. circinatum mitovirus 1, and 2-2 (FcMV1 and FcMV2-2) on i) mycelial growth, ii) spore germination and iii) relative necrosis.Material and methods: Fourteen monosporic strai...
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Richard C. Cobb and Margaret R. Metz
The disease triangle is a basic and highly flexible tool used extensively in forest pathology. By linking host, pathogen, and environmental factors, the model provides etiological insights into disease emergence. Landscape ecology, as a field, focuses on...
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Matteo Garbelotto and Paolo Gonthier
The plant disease triangle (PDT) is as old as the field of modern plant pathology, and it postulates that any plant disease is the outcome of the interaction between a pathogen, a host, and the environment. Recently, the need has emerged to study not onl...
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Gonzalo Álvarez,Mercedes Fernández,Julio J. Diez
Pág. e006
Aim of study: We studied the presence of fungi and distribution patterns in relation to the health status of declining Pinus pinaster trees.Area of study: Trees in two declining stands in Central Spain were allotted to three declining classes...Material ...
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Walla, J. A. Jacobi, W. R. Schmidt, R. A.
Pág. 1037 - 1038
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MacDonald, W. L.
Pág. 1039 - 1040
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Manion, P. D.
Pág. 1052 - 1055
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Tainter, F. H.; Baker, F. A.
Pág. 806 - 807
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