Results 181 to 190 of about 2,835 (238)

Re‐Evaluating Springtime as Southern Arizona's Dust Season

open access: yesGeoHealth, Volume 10, Issue 6, June 2026.
Abstract The existing literature largely identifies spring as Arizona's predominant dust season, when synoptic‐scale dust events are most frequent and “Fine Soil” measurements from the IMPROVE (Interagency Monitoring of Protected Visual Environments) network reach a yearly maximum.
Ellis S. Robinson   +5 more
wiley   +1 more source

Deep-tissue transcriptomics and subcellular imaging at high spatial resolution. [PDF]

open access: yesScience
Gandin V   +12 more
europepmc   +1 more source

Automatic Classification of Planetary Surfaces Using Autoencoders With Applications to Dunes in the North Polar Erg of Mars

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract The study of planetary surface processes has traditionally relied on the manual interpretation of spacecraft images. While manual image analysis methods are robust and well‐established, they become impractical when the volume of available data is large and may introduce observer bias.
Yasmin Hayat, Lior Rubanenko
wiley   +1 more source

Barcode sequencing: a robust, platform-agnostic method for massively parallel cell-based screens. [PDF]

open access: yesG3 (Bethesda)
Barazandeh M   +8 more
europepmc   +1 more source

Reconstructing Digital Elevation Models From Single Synthetic Aperture Radar Images

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Traditional radar‐based methods of generating topography involve complex dual‐antenna or formation‐flying satellite configurations, interferometric processing, and specialized expertise. We present an approach for reconstructing digital elevation models (DEMs) from single Synthetic Aperture Radar (SAR) images using deep learning.
W. Hamish Mitchell   +3 more
wiley   +1 more source

Comparing Solar Structure Detection Methods in SDO/AIA Observations and the Application to Raw Uncalibrated Data

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Recent advances in solar physics increasingly rely on automated identification of coronal structures using machine learning. Yet most studies emphasize scientific performance without evaluating feasibility for onboard deployment to prioritize downlink observations.
P. Gonidakis   +11 more
wiley   +1 more source

Digital neuropathology of neurodegenerative disorders: Foundations, research advances, and future directions. [PDF]

open access: yesAlzheimers Dement
Rosado AM   +12 more
europepmc   +1 more source

Considering alcohol and other drug screening, brief intervention and referral to treatment in two safety‐sensitive industries in Australia: An exploratory qualitative study

open access: yesAddiction, Volume 121, Issue 6, Page 1434-1444, June 2026.
Abstract Background and aims Workplaces offer a practical setting for alcohol and other drug interventions, especially in industries where impairment introduces substantial risk. Screening, brief intervention and referral to treatment has demonstrated effectiveness in health care settings and shows promise in workplace settings.
Kirrilly Thompson   +2 more
wiley   +1 more source

A role for core facilities in improving research rigour

open access: yesJournal of Microscopy, Volume 302, Issue 3, Page 256-266, June 2026.
Abstract Scientific reproducibility is an ethical and societal responsibility. Discussions of reproducibility and repeatability often focus on the roles of stakeholders in the scientific process, including researchers, publishers, and funders. Core facility staff have distinct functions in research planning, training, interpretation and oversight which
Alison J. North, Kurt I. Anderson
wiley   +1 more source

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