Machine‐Learning Models Trained on Genomic Summary Statistics Assess Extinction Risk and Recovery Potential of Bottlenecked Populations [PDF]
ABSTRACT Forecasting extinction risk from genomic data is challenging because of interactions among environment, demography, and genomic erosion. Here, we use known outcomes from forward simulations as a proof‐of‐concept study to test whether machine‐learning (ML) models can discriminate relative extinction risk and recovery potential from genomic ...
Winder J +7 more
europepmc +2 more sources
Prevalence of Childhood Stunting and Its Associated Factors in Bangladesh: Quantile Regression Modeling Approach. [PDF]
Jahan I +4 more
europepmc +1 more source
ABSTRACT The hydrology and drainage history of freshwater marshes influence their soil properties and plant communities, which in turn affect microbial biomass and extracellular enzyme activities that regulate the biogeochemistry and functioning of the marsh. However, field reports examining the spatial differences and controls of microbial biomass and
Dan Dong +2 more
wiley +1 more source
Plain Language Summary People with chronic migraine may have changes in amino‐acid metabolism, but it remains unclear which metabolic pathways are associated with the disease and early response to onabotulinumtoxinA treatment. We measured plasma amino‐acid levels in patients with chronic migraine and healthy controls and assessed changes after 1 month ...
Seyma Dumur +6 more
wiley +1 more source
Penalized Cumulative Probability Model for a Continuous Outcome Subject to Detection Limits. [PDF]
Sun S, Mas VR, Archer KJ.
europepmc +1 more source
Habitat Contractions to Drive Future Planktonic Foraminifera Distribution and Diversity Change
ABSTRACT Aim Unicellular calcifiers known as planktonic foraminifera (PF) are of interest for their contribution to the global ocean carbonate cycle and widespread use as paleoclimate proxies. Global warming has impacted current PF habitats, but PF have proven capable of ecological response through distributional shifts.
Annabelle Gao +7 more
wiley +1 more source
Doubly robust and efficient calibration of prediction sets for right-censored time-to-event outcomes. [PDF]
Farina R +2 more
europepmc +1 more source
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source
Nonuniform temperature and light relationships of moss‐associated nitrogen fixation across climates
Light, moisture, and temperature response of nitrogen fixation in moss–cyanobacteria associations across five climatically contrasting ecosystems. Responses of nitrogen fixation in moss–cyanobacteria associations to light (μmol photons m−2 s−1), moss relative water content (%), and temperature (°C) across five climatically contrasting ecosystems ...
Yunyao Ma, Kathrin Rousk
wiley +1 more source
A quantile cure model with partially functional covariate effects. [PDF]
Chen CM, Peng Y.
europepmc +1 more source

