Results 151 to 160 of about 182,184 (260)

Star formation powers optical line emission from the CGM. [PDF]

open access: yesSci Adv
Zhang H   +11 more
europepmc   +1 more source

Foundations of High-Energy Astrophysics

open access: yes, 2008
Written by one of today's most highly respected astrophysicists, Foundations of High-Energy Astrophysics is an introduction to the mathematical and physical techniques used in the study of high-energy astrophysics.
Vietri, Mario
core  

Drew Rothrock's Fundamental Contributions to Arctic Science

open access: yesPerspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract David Andrew (Drew) Rothrock III lived during a period of vigorous scientific research in the Earth Sciences, from the International Geophysical Year to the era of satellites and high‐speed computer modeling. Drew made fundamental contributions to Arctic science, helping to lay the theoretical foundations for modeling the movement and ...
Harry L. Stern   +4 more
wiley   +1 more source

Frontiers in Numerical Gravitational Astrophysics

open access: yes
This is the on-line version (available also as pdf file) of the collection of lectures given at the course "Frontiers in Numerical Gravitational Astrophysics", of the J.A.
CAPUZZO DOLCETTA, Roberto Angelo
core  

Listening, in Times of Noise

open access: yes
Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Li Li
wiley   +1 more source

A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data

open access: yesJournal of Flood Risk Management, Volume 19, Issue 4, December 2026.
ABSTRACT This study presents a machine‐learning framework for identifying areas of elevated flood risk using imbalanced, high‐dimensional geospatial datasets. Using the Mandra River Basin in Greece as a case study, an extreme gradient boosting (XGBoost) classifier was trained on 11 flood‐related features including hydrological, meteorological, soil and
Alexia Tsouni   +7 more
wiley   +1 more source

Can Annotation‐Free Deep Learning Detect Periapical Bone Rarefactions on Panoramic Radiographs? A Paired Diagnostic Validation Study

open access: yesInternational Journal of Imaging Systems and Technology, Volume 36, Issue 6, November 2026.
ABSTRACT This study aimed to compare an annotation‐free deep learning (DL) model with human evaluators for detecting periapical bone rarefactions (PBRs) on panoramic radiographs (PRs) and to assess the clinical acceptability of AI‐supported dental imaging.
José Evando da Silva‐Filho   +10 more
wiley   +1 more source

Astrophysics for physicists

open access: yes, 2010
Designed as a textbook for teaching astrophysics to physics students at advanced undergraduate or beginning graduate ...
Choudhuri, Arnab Rai
core  

The Evolution of Parallel Electric Field Across the Earth's Magnetosheath

open access: yesGeophysical Research Letters, Volume 53, Issue 19, 16 October 2026.
Abstract In Earth's collisionless magnetosheath, turbulence evolution and energy transformation across the system, especially at kinetic scales, remain poorly quantified without full‐coverage of high‐resolution observations. Using multi‐traversal observations from the 2023 and 2024 Magnetospheric Multiscale (MMS) Unbiased Magnetosheath Campaign, we ...
Y. Qi   +5 more
wiley   +1 more source

From Flow to Function: Using Different Static Mixers to Fabricate Microarchitected Materials Via Chaotic Printing

open access: yesAdvanced Science, Volume 13, Issue 55, 5 October 2026.
Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve   +7 more
wiley   +1 more source

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