Results 61 to 70 of about 18,104 (254)

Managing Retractions and their Afterlife: A Tripartite Framework for Research Datasets

open access: yesInternational Journal of Digital Curation
Retractions serve as a critical, albeit last-resort, post-publication correction mechanism in scholarly publishing, playing an important role in upholding the integrity of the scientific record.
Renata Curty
doaj   +1 more source

Comparative Evaluation of Gridded Precipitation Datasets in Capturing Hydrological Extremes in a Mesoscale Heterogeneous Catchment in Austria

open access: yesHydrological Processes, Volume 39, Issue 12, December 2025.
Although all precipitation products performed relatively poor in representing extreme precipitation events, their performance varied across elevations. Furthermore, SPARTACUS v2.1 and IMERG‐F v07 generated streamflow simulations that broadly align with observations. However, CHIRPS v2.0 and ERA5‐Land underperformed.
Zryab Babker   +6 more
wiley   +1 more source

Attempts at vacuum counterexamples to cosmic censorship in AdS

open access: yesJournal of High Energy Physics, 2019
We consider vacuum solutions of four dimensional general relativity with Λ < 0. We numerically construct stationary solutions that asymptotically approach a boundary metric with differential rotation. Smooth solutions only exist up to a critical rotation.
Toby Crisford   +2 more
doaj   +1 more source

Terrigenous inputs link nutrient dynamics to microbial communities in a tropical lagoon

open access: yesLimnology and Oceanography, Volume 70, Issue 12, Page 3741-3754, December 2025.
Abstract Nutrient availability drives community structure and ecosystem processes, especially in tropical lagoons that are typically oligotrophic but often receive allochthonous inputs from land. Terrestrially derived nutrients are introduced to tropical lagoons by surface runoff and submarine groundwater discharge, which are influenced by seasonal ...
Christian John   +28 more
wiley   +1 more source

Geometric neural operators (gnps) for data-driven deep learning in non-euclidean settings

open access: yesMachine Learning: Science and Technology
We introduce Geometric Neural Operators (GNPs) for data-driven deep learning of geometric features for tasks in non-euclidean settings. We present a formulation for accounting for geometric contributions along with practical neural network architectures ...
B Quackenbush, P J Atzberger
doaj   +1 more source

Performance of a low data rate speech codec for land-mobile satellite communications [PDF]

open access: yes
In an effort to foster the development of new technologies for the emerging land mobile satellite communications services, JPL funded two development contracts in 1984: one to the Univ. of Calif., Santa Barbara and the other to the Georgia Inst.
Gersho, Allen, Jedrey, Thomas C.
core   +1 more source

Asymptotic Behavior of 2-d Black Holes

open access: yes, 1992
We consider the solutions of the field equations for the large $N$ dilaton gravity model in $1+1$ dimensions recently proposed by Callan, Giddings, Harvey and Strominger (CGHS).
Birnir   +9 more
core   +1 more source

A Self‐Supervised Seasonal Anomaly Embedding ViT for Label‐Free Drought Mapping in the Horn of Africa

open access: yesEarth and Space Science, Volume 12, Issue 12, December 2025.
Abstract Drought poses a major threat to agriculture and food security in the Horn of Africa (HOA), where monitoring efforts are hindered by sparse in situ observations and a lack of ground truth data. In this paper, a new self‐supervised drought classification model, Seasonal Anomaly Embedding with Vision Transformers (SAED‐ViT) is proposed using ...
Nasser A. M. Abdelrahim   +2 more
wiley   +1 more source

Transferable foundation models for geometric tasks on point cloud representations: geometric neural operators

open access: yesMachine Learning: Science and Technology
We introduce methods for obtaining pretrained geometric neural operators (GNPs) that can serve as basal foundation models for use in obtaining geometric features. These can be used within data processing pipelines for machine learning tasks and numerical
B Quackenbush, P J Atzberger
doaj   +1 more source

Adaptation and Shortening of the Right-Wing Authoritarianism (RWA) Scale for the Ukrainian Context: Evidence from a Bias-Corrected Confirmatory Factor Analysis of Longitudinal Data

open access: yesСоціологічні студії
The Right-Wing Authoritarianism (RWA) scale remains a cornerstone in the study of authoritarian attitudes, yet its adaptation and validation outside Western contexts is limited.
Taras Tsymbal, Valeriia Sazonova
doaj   +1 more source

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