Open questions in elucidating neural mechanisms underlying sensory-guided motor control. [PDF]
europepmc +1 more source
Tracing the origin of tropical North Atlantic <i>Sargassum</i> blooms to West Africa. [PDF]
Beron-Vera FJ +3 more
europepmc +1 more source
Improving Malaria Parasite Gene Flow Inference Under Sparse Spatial Sampling
ABSTRACT Estimating malaria parasite migration is crucial for informing elimination strategies, particularly by identifying regions with higher parasite migration that may serve as transmission sources and intervention targets. Methods that infer spatial variations in gene flow from georeferenced genetic data, including Estimated Effective Migration ...
Yao Li +4 more
wiley +1 more source
STable AutoCorrelation Integral Estimator: Robust and Accurate Transport Properties from Molecular Dynamics Simulations. [PDF]
Toraman G, Fauconnier D, Verstraelen T.
europepmc +1 more source
Accuracy of occurrence and abundance estimates from insect metabarcoding
Abstract DNA metabarcoding—high‐throughput sequencing of barcode regions from bulk samples—has become a key tool for insect biodiversity assessment. Yet, how methodological choices affect the accuracy of metabarcoding data remains insufficiently explored. In this paper, we ask: (1) How does the lysis method (non‐destructive lysis vs.
Ela Iwaszkiewicz‐Eggebrecht +12 more
wiley +1 more source
Bayesian Clustering via Fusing of Localized Densities. [PDF]
Dombowsky A, Dunson DB.
europepmc +1 more source
Perceived costs as drivers of wildlife management preferences in rural Tanzanian communities
Abstract Effectively managing human–wildlife interactions is crucial for fostering coexistence on shared landscapes. Management options are most effective when aligned with the preferences of people directly affected by wildlife, yet little is known about how socioecological factors influence these preferences.
Christian Kiffner +10 more
wiley +1 more source
GWKBR: a novel method integrating machine learning and Bayesian inference framework to improve genomic prediction accuracy. [PDF]
Wang X, Jiang J, Zhang Z, Zhang Y.
europepmc +1 more source
Textile and colour defect detection using deep learning methods
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source
Parallel MCMC algorithms: theoretical foundations, algorithm design, case studies. [PDF]
Glatt-Holtz NE +3 more
europepmc +1 more source

