Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–4 of 4 results
Advanced filters: Author: P. Krisai Clear advanced filters
  • Analysis of soundscape data from 139 globally distributed sites reveals that sounds of biological origin exhibit predictable rhythms depending on location and season, whereas sounds of anthropogenic origin are less predictable. Comparisons between paired urban–rural sites show that urban green spaces are noisier and dominated by sounds of technological origin.

    • Panu Somervuo
    • Tomas Roslin
    • Otso Ovaskainen
    ResearchOpen Access
    Nature Ecology & Evolution
    Volume: 9, P: 1585-1598
  • In a large-scale analysis of ambulatory electrocardiographic recordings, a deep learning algorithm had a substantially higher sensitivity for the detection of critical arrhythmias as compared to technicians, opening a path toward artificial intelligence-assisted direct-to-physician reporting of ambulatory electrocardiography results.

    • L. S. Johnson
    • P. Zadrozniak
    • J. S. Healey
    ResearchOpen Access
    Nature Medicine
    Volume: 31, P: 925-931
  • Using a globally distributed standardized aerial sampling of fungal spores, we show that the hyperdiverse kingdom of fungi follows globally highly predictable spatial and temporal dynamics, with seasonality in both species richness and community composition increasing with latitude.

    • Nerea Abrego
    • Brendan Furneaux
    • Otso Ovaskainen
    ResearchOpen Access
    Nature
    Volume: 631, P: 835-842