M. Ryo

Deep learning image analysis for filamentous fungi taxonomic classification: Dealing with small data sets with class imbalance and hierarchical grouping

This study applies deep learning to classify filamentous fungi from colony images, addressing class imbalance and small data challenges, finding morphological features useful for higher taxonomic classification.

From microbes to mammals: pond biodiversity homogenization across different land-use types in an agricultural landscape

The paper assesses biodiversity homogenization in kettle holes across different land-use types using eDNA sequencing and finds that agricultural intensification and nutrient enrichment lead to reduced biodiversity differences.

Tire abrasion particles negatively affect plant growth even at low concentrations and alter soil biogeochemical cycling

Dengue Disease Dynamics are Modulated by the Combined Influence of Precipitation and Landscapes: A Machine Learning-based Approach

This study uses machine learning to show that precipitation and landscape factors together influence mosquito occurrence and dengue incidence in Metro Manila.

Diversity of responses of soil saprobic fungi to recurring heat events

This study examines how 32 soil saprobic fungi respond to single or repeated heat pulses, finding varying growth responses that may influence ecosystem function.

Fungal traits important for soil aggregation

The paper identifies key fungal traits influencing soil aggregation using a trait-based approach across 31 fungal strains.

Growth rate trades off with enzymatic investment in soil filamentous fungi

The paper tests a trade-off between growth rate and enzymatic investment in soil fungi, finding it only for high-cost enzymes.