Results 41 to 50 of about 10,066 (164)
Abstract Ecoacoustics mainly aims at monitoring soundscapes by means of non‐invasive protocols. Despite the widespread adoption of machine and deep learning techniques, existing ecoacoustic models predominantly rely on supervised learning and, consequently, face two primary limitations: (1) the necessity of annotated data; and (2) the restriction to ...
Yann Teytaut +7 more
wiley +1 more source
Forecasting ecological trajectories from ecological dynamic regimes to improve resilience analysis
Abstract The ecological dynamic regime (EDR) framework was recently proposed as an alternative to equilibrium‐based approaches for assessing ecological resilience in empirical systems, explicitly incorporating dynamic regimes as a reference for assessing the system's deviation during disturbances.
Martina Sánchez‐Pinillos +3 more
wiley +1 more source
Abstract In the field of evolutionary biology, the selection of a phylogenetically representative sample is a crucial step to have a complete and accurate understanding of the studied group and the evolution of its traits. However, this step is often overlooked, and there is currently no objective way to assess the relevance of a sample for a given ...
Nyniane Steinkampf‐‐Pellecuer +2 more
wiley +1 more source
Recherche : problématique et méthodologie
Jean Le Dû envisaged our meeting from a diachronic point of view. I'd like to turn to the synchronic side and submit for your criticism some proposals for setting up a common problematic and methodology, or rather initiate the problematic of a ...
Yves Le Berre
doaj +1 more source
Tri‐stereoscopic PeruSat‐1 imagery enables the simultaneous generation of 0.70 m‐resolution topography and spatially distributed Manning roughness maps, achieving 0.434 m vertical accuracy. Integrated into HEC‐RAS, these products provide consistent, high‐resolution inputs that improve hydraulic modelling and flood risk assessment in data‐scarce river ...
Jorge L. Miranda‐Pita +3 more
wiley +1 more source
Rank‐based estimation of propensity score weights via subclassification
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang +3 more
wiley +1 more source
Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang +5 more
wiley +1 more source
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne +2 more
wiley +1 more source
ABSTRACT Audit quality is a multidimensional and latent construct that researchers struggle to evaluate and interpret. This paper follows an interdisciplinary approach by systematically reviewing the literature on audit quality evaluation from a service quality perspective.
Lise Muriel Botha +3 more
wiley +1 more source

