Results 211 to 220 of about 45,458 (300)

TreeMig framework ver. 1.0: an R package with GUI to simulate spatio‐temporal forest dynamics

open access: yesEcography, EarlyView.
Spatio‐temporal vegetation models are essential for simulating dynamics and shifts in species distributions over large areas, particularly under global change. One such model is the dynamic forest landscape model TreeMig. We have developed a framework that makes the model more user‐friendly, improves its functionality, and expands its possibilities ...
Heike Lischke   +6 more
wiley   +1 more source

N‐SDM 2.0: a reengineered software with extended features for nested species distribution modelling

open access: yesEcography, EarlyView.
Species distribution models (SDMs) are central tools for predicting and forecasting how species respond to environmental changes, yet their reliability depends on accurately capturing ecological processes across spatial scales while accounting for uneven data availability and resolution.
Antoine Adde   +3 more
wiley   +1 more source

A Novel HILIC‐UPLC‐DAD‐MS/MS Method for the Analysis of Mycosporine‐Like Amino Acids and Their Quantification in Diverse Algae

open access: yesELECTROPHORESIS, EarlyView.
The separation of selected mycosporine‐like amino acids and two biosynthetic precursors, in total 13 compounds, by HILIC‐UPLC is described for the first time. With an analysis time of only 5 min, it surpasses all currently known methods for analysis of these promising natural products.
Armin Oberosler   +6 more
wiley   +1 more source

The International Classification of Cognitive Disorders in Epilepsy (IC‐CoDE) Portal: An open source resource for neuropsychological research in epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective The International Classification of Cognitive Disorders in Epilepsy (IC‐CoDE) is a consensus‐based, empirically‐driven approach to standardize cognitive phenotyping in epilepsy research that has quickly garnered interest within the epilepsy community. However, manually generating IC‐CoDE phenotypes in group data is laborious and time‐
Robyn M. Busch   +11 more
wiley   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

open access: yesEpilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb   +12 more
wiley   +1 more source

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