Results 61 to 70 of about 28,224 (283)
Citizen science deepens the ecological and climatic dimensions of mosquito surveillance
As mosquito‐borne diseases continue to expand worldwide, integrating citizen science into vector surveillance presents untapped potential. This study compares ecological models of Aedes albopictus, an invasive mosquito and global vector of dengue and other arboviruses, in Spain (2020–2022), using two contrasting data sources: traditional traps and ...
Catuxa Cerecedo‐Iglesias +2 more
wiley +1 more source
A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections
The problem of detecting an anomaly/target from a very limited number of noisy tomographic projections is addressed from the statistical point of view. The imaged object is composed of an environment, considered as a nuisance parameter, with a possibly ...
Fillatre Lionel, Nikiforov Igor
doaj +1 more source
The choice of an odour nuisance assessment method depends on many factors, such as: the type and quantity of objects, the diversity and type of odour sources, the location of the object, the social situation and the number of complaints about odor ...
Sówka Izabela +5 more
doaj +1 more source
Robust variance estimation and inference for causal effect estimation
We present two novel approaches to variance estimation of semi-parametric efficient point estimators of the treatment-specific mean: (i) a robust approach that directly targets the variance of the influence function (IF) as a counterfactual mean outcome ...
Tran Linh +3 more
doaj +1 more source
A Novel Multilevel Conceptual Framework for Flood Risk Governance
ABSTRACT Globally, flood risk is increasing as climate change progresses. Contemporary flood risk management practice often utilises hydrodynamic modelling (for hazard risk assessments), social vulnerability assessments, and risk communications in silo, which fragments evidence‐based decision‐making for effective flood risk management. We hence develop
Aiperi Stambekova, Avidesh Seenath
wiley +1 more source
Beyond scale variations: perturbative theory uncertainties from nuisance parameters
We develop a new approach to estimate the uncertainty due to missing higher orders in perturbative predictions (the perturbative “theory uncertainty”), which overcomes many inherent limitations of the currently prevalent methods based on varying ...
Frank J. Tackmann
doaj +1 more source
Robust Motion Regression of Resting-State Data Using a Convolutional Neural Network Model
Resting-state functional magnetic resonance imaging (rs-fMRI) based on the blood-oxygen-level-dependent (BOLD) signal has been widely used in healthy individuals and patients to investigate brain functions when the subjects are in a resting or task ...
Zhengshi Yang +6 more
doaj +1 more source
Abstract Objective Accurate localization of epileptic activity remains challenging when interictal discharges are absent or sparse. Although resting‐state functional MRI (rs‐fMRI) is noninvasive, individual rs‐fMRI metrics provide inconsistent and incomplete localization.
Qirui Zhang +8 more
wiley +1 more source
Estimating Equations in the Presence of a Nuisance Parameter
Estimating equations for a real parameter $\theta$ which indexes a family of densities $p(x, \theta)$ were considered in the note by Godambe (Ann. Math. Statist. 31 (1960) 1208-1211). An optimality property of the equation $\partial \log p/\partial \theta = 0$ among unbiased estimating equations was established.
Godambe, V. P., Thompson, M. E.
openaire +2 more sources
Abstract Alginate, a renewable polysaccharide produced by brown seaweeds and selected bacterial species, has gained significant attention due to its tunable gelation behavior, biocompatibility, and wide utility in food, biomedical, and packaging applications.
Mehvish Habib +3 more
wiley +1 more source

