Results 131 to 140 of about 184,150 (234)

Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates

open access: yesThe Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Genetic gains of oat (Avena sativa L.) grain yield have been historically low compared to other major cereal crops. The use of machine learning models to capture complex interactions and leveraging data types other than genomic information in prediction models has great potential for improving complex traits in oat breeding programs.
Samuel A. Adewale   +11 more
wiley   +1 more source

Observations of the Electromagnetic Electron Kelvin‐Helmholtz Instability and Its Impact on the Dynamics Inside a Flux Rope

open access: yesGeophysical Research Letters
The electromagnetic electron Kelvin‐Helmholtz instability (EM EKHI) and its impact on the dynamics inside a flux rope (FR) is investigated through observations from the Magnetospheric Multiscale mission.
K. Jiang   +4 more
doaj   +1 more source

Nanofiber PVA‐Based Membranes Incorporating Functionalized Spanish Broom Derivatives for Sustainable Water Purification

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 6, November 2026.
This study investigates Spanish broom (Spartium junceum) as a renewable source for electrospun composite membranes in sustainable water purification. MCC and biochar were functionalized with eco‐friendly precursors and nanomaterials (i.e., HNT, β‐CDs) to develop hybrid PVA nanofiber composites.
Giulia Rando   +7 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

open access: yesJournal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly   +2 more
wiley   +1 more source

A Semi‐Interpretable Multimodal Model Combining Electronic Health Records and Chest X‐Rays for COVID‐19‐Related Death Prediction

open access: yesExpert Systems, Volume 43, Issue 11, November 2026.
ABSTRACT Purpose Prognostic models can benefit from integrating heterogeneous data sources. While deep learning‐based multimodal models often improve predictive performance, their limited interpretability remains a barrier to clinical adoption. Moreover, achieving robust generalization with such models typically requires large and diverse datasets ...
Lander Rodriguez‐Idiazabal   +7 more
wiley   +1 more source

UNSTEADY FLOW SIMULATION IN HYDRAULIC MACHINERY

open access: yesTASK Quarterly, 2002
In the field of hydraulic machinery Computational Fluid Dynamics (CFD) is routinely used today in research and development as well as in the daily design phase. Today in industry mostly steady-state simulations are applied.
ALBERT RUPRECHT
doaj  

Enhancing diagnostic precision for BI‐RADS 4a breast nodules: A multimodal AI model integrating ultrasound radiomics, hemodynamic signatures, and clinical profiles

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 10, October 2026.
Abstract Background Breast Imaging Reporting and Data System (BI‐RADS) 4a nodules represent a diagnostic dilemma, with a malignancy rate ranging from 2% to 10%. The majority of these nodules prove benign after biopsy, leading to unnecessary invasive procedures, patient anxiety, and healthcare costs.
Jun Yang   +5 more
wiley   +1 more source

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