Results 171 to 180 of about 1,805 (213)

Development of a Rapid Deep-Learning-Assisted Multiphase Multicomponent Numerical Simulation Protocol. [PDF]

ACS Omega
Fang L, Sun Q, Xu Q, Li X.
europepmc   +1 more source

Thermal Escape of Atomic Hydrogen on Mars: A Comprehensive View With a General Circulation Model

Journal of Geophysical Research: Planets, Volume 131, Issue 6, June 2026.
Abstract Mars loses water mainly through the photodissociation of water vapor, followed by the thermal escape of light hydrogen atoms. Observations have revealed large seasonal variations in hydrogen concentration in the upper thermosphere, peaking during southern summers and intensifying during dust storms.
Alexander S. Medvedev, Ngan H. D. Trinh
wiley   +1 more source

A Review of Topological Data Analysis and Topological Deep Learning in Molecular Sciences. [PDF]

J Chem Inf Model
Wee J, Jiang J.
europepmc   +1 more source

Coherent Forecasting of Ordinal Time Series With Application to Air‐Quality Data

Australian &New Zealand Journal of Statistics, Volume 68, Issue 2, June 2026.
ABSTRACT Motivated by an application to air quality data, we provide a comprehensive investigation of coherent forecasting techniques for ordinal time series. Here, the coherency requirement expresses that the computed forecast values have to be consistent with the ordered qualitative range of the data‐generating process (DGP).
Christian H. Weiß, Osama Swidan, Layth C. Alwan   +2 more
wiley   +1 more source

Art's hidden topology: A window into human perception. [PDF]

PLoS Comput Biol
Dmitruk E, Bajno B, Kot L, Dreszer J, Bałaj B, Ratajczak E, Hajnowski M, Janik RA, Kuś M, Kadir SN, Rogala J.   +10 more
europepmc   +1 more source

Optimizing Large‐Scale Mathematical Assessments: Leveraging Hierarchical Attribute Structures and Diagnostic Classification Models for Enhanced Student Diagnostics

Educational Measurement: Issues and Practice, Volume 45, Issue 2, Summer 2026.
Abstract Diagnostic classification models (DCMs) assess students’ mastery of cognitive attributes to provide personalized ability profiles. Retrofitting DCMs to large‐scale mathematics assessments usually relies on inferred Q‐matrices, which can reduce accuracy and diagnostic value.
Farshad Effatpanah, Olga Kunina‐Habenicht, Steve Bernard, Caroline Hornung, Philipp Sonnleitner   +4 more
wiley   +1 more source

Modelling selective heating in microwave-heated packed-bed reactors. [PDF]

Sci Rep
Niño CG.
europepmc   +1 more source

The Evolution of Hutchinsonian Climatic Niche Hypervolumes in Gymnosperms

Global Ecology and Biogeography, Volume 35, Issue 6, June 2026.
ABSTRACT Aim The niche is a fundamental concept in theoretical and experimental ecology and is used to describe a wide range of ecological processes from species' interactions with the environment to community assemblies. A common way to represent the niche is through a multidimensional geometry known as the Hutchinsonian niche hypervolume.
Fernanda S. Caron, Jānis Lazovskis, David F. R. P. Burslem, Juliano Morimoto   +3 more
wiley   +1 more source

AI-augmented geothermal model for scalable energy uncertainties in buildings. [PDF]

Sci Rep
Markowitz A, Abuaamoud R, Ben Ayed S, Rupe A, Yang R, Kliphuis T, Vesselinov V.   +6 more
europepmc   +1 more source

Spatial depth for data in metric spaces

Scandinavian Journal of Statistics, Volume 53, Issue 2, Page 684-711, June 2026.
Abstract We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located near (far away from) the bulk of the data distribution, allowing quantifying their centrality/outlyingness.
Joni Virta
wiley   +1 more source