Results 171 to 180 of about 43,983 (273)
Abstract This article examines the factors associated with persistent absenteeism (an absence rate of 10% or higher) and authorised and unauthorised absence among secondary school pupils in Scotland. Using linked administrative data, the analysis focuses on secondary school stages S1–S6 in three academic years.
Silvia Behrens +6 more
wiley +1 more source
Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms. [PDF]
Schmal M, Mäder P.
europepmc +1 more source
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal +2 more
wiley +1 more source
Adaptive Genomic Divergence Across Altitudes in Capsella bursa‐pastoris
Genomic divergence was observed between high‐altitude and low‐altitude populations of Capsella bursa‐pastoris in China, consistent with an important role of ecological factors. Candidate adaptive loci associated with enhanced energy metabolism, photoprotection, and growth plasticity under altitudinal stress were identified.
Lu Liu +4 more
wiley +1 more source
torchtree: Flexible Phylogenetic Model Development and Inference Using PyTorch. [PDF]
Fourment M +5 more
europepmc +1 more source
Advances in causal discovery methods for ecological time series
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Bayesian neural network-based policy effect prediction for green transformation of power business environment. [PDF]
Shen Y +5 more
europepmc +1 more source
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins +9 more
wiley +1 more source
A weight-sharing Bayesian neural network for consistent feature selection with applications in cancer gene expression data. [PDF]
Mishra A, Xia W, Pazhayidam George C.
europepmc +1 more source
ABSTRACT Firms are increasingly looking into carbon dioxide removal (CDR), a set of options to take past emissions of greenhouse gases out of the atmosphere. Often two basic categories of CDR are distinguished: nature‐based solutions, such as planting trees or restoring wetlands, and technology‐based solutions, such as various forms of carbon capture ...
Sabrina Mili +3 more
wiley +1 more source

