Results 71 to 80 of about 1,115,323 (244)

An Interpolating Distance between Optimal Transport and Fisher-Rao

open access: yes, 2010
International audienceThis paper defines a new transport metric over the space of non-negative measures. This metric interpolates between the quadratic Wasserstein and the Fisher-Rao metrics and generalizes optimal transport to measures with different ...
Chizat, Lenaic   +3 more
core   +2 more sources

Nanoplastics: Methods, Exposure and Effects on Domestic, Farm and Wild Animals

open access: yesJournal of Applied Toxicology, EarlyView.
ABSTRACT Nanoplastics (NPs) are synthetic polymer particles ranging in size from 1 nm to 1 μm that have been identified as a major concern for ecosystems and organisms due to their plethora of negative effects. The aim of this review is to provide a comprehensive overview of the knowledge relating to exposure and effects of NPs in domestic (i.e., farm ...
B. De Felice   +8 more
wiley   +1 more source

The Fisher-Rao geometry of CES distributions

open access: yes
International audienceWhen dealing with a parametric statistical model, a Riemannian manifold can naturally appear by endowing the parameter space with the Fisher information metric.
Renaux, Alexandre   +4 more
core   +1 more source

Air Pollution Quinones Impair Intestinal Barrier Integrity and Endoplasmic Reticulum in Differentiated Caco‐2 Cells

open access: yesJournal of Applied Toxicology, EarlyView.
ABSTRACT Particulate matter (PM) is a major global health threat, linked to millions of deaths annually. Beyond inhalation, PM components reach the gastrointestinal tract through the mucociliary escalator or contaminated food and water. Among PM's organic fraction, redox‐active quinones such as 1,2‐naphthoquinone (NQ) and 9,10‐phenanthrenequinone (PQ ...
Franco Cervellati   +6 more
wiley   +1 more source

Approximation and bounding techniques for the Fisher-Rao distances between parametric statistical models [PDF]

open access: yes
The Fisher-Rao distance between two probability distributions of a statistical model is defined as the Riemannian geodesic distance induced by the Fisher information metric.
Nielsen, Frank
core   +1 more source

Modulation of oxidative metabolism and quality preservation of strawberries by a CMC–alginate bilayer edible coating during cold storage

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Strawberries are highly perishable fruits characterized by rapid postharvest deterioration, leading to significant quality losses and reduced marketability. In this study, a bilayer edible coating based on carboxymethylcellulose and sodium alginate was evaluated for its ability to preserve strawberry quality during cold storage ...
Ilenia Pellicano   +6 more
wiley   +1 more source

The L^p-Fisher-Rao metric and Amari-Cencov alpha-connections

open access: yes, 2023
We introduce a family of Finsler metrics, called the $L^p$-Fisher-Rao metrics $F_p$, for $p\in (1,\infty)$, which generalizes the classical Fisher-Rao metric $F_2$, both on the space of densities $\Dens$ and probability densities $\Prob$.
Maor, Cy   +3 more
core   +1 more source

Styrene and its natural analogues: accumulation and sustainable production methods

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract Styrene, also known as vinyl benzene, is a colourless, highly volatile petrochemical that serves as a key monomer in the production of polystyrene and styrene‐butadiene rubber. Its industrial synthesis via the alkylation of benzene with ethylene relies on fossil fuels, requiring high temperatures and toxic catalysts that contribute to ...
Mwafaq Ibdah   +6 more
wiley   +1 more source

Fisher-Rao gradient flow: geodesic convexity and functional inequalities [PDF]

open access: yes
The dynamics of probability density functions has been extensively studied in science and engineering to understand physical phenomena and facilitate algorithmic design.
Huang, Daniel Zhengyu   +4 more
core   +4 more sources

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

open access: yesLaser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová   +3 more
wiley   +1 more source

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