Results 141 to 150 of about 184,150 (234)

Advances in causal discovery methods for ecological time series

open access: yesBiological Reviews, Volume 101, Issue 5, Page 2313-2336, October 2026.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki   +6 more
wiley   +1 more source

Computations of cavitating vortex rope by using LES

open access: yesSEISAN KENKYU, 2016
PACOT, Olivier   +3 more
openaire   +1 more source

Laparoscopic Splenectomy for a Completely Infarcted Wandering Spleen After Prolonged Positional Abdominal Pain: A Case Report and Focused Literature Review

open access: yesClinical Case Reports, Volume 14, Issue 10, October 2026.
ABSTRACT A 19‐year‐old woman had a 7–8‐year history of positional abdominal pain, a mobile mass and transient thrombocytopenia. Computed tomography showed a completely infarcted wandering spleen with pedicle torsion. Fully laparoscopic splenectomy succeeded despite total infarction.
Toufic Awwad   +3 more
wiley   +1 more source

Integrating Multimodal MRI Habitat and Transformer‐Based Pathomics to Predict High‐Risk Molecular Subtypes and Explore Biological Mechanisms in Adult Diffuse Gliomas

open access: yesCNS Neuroscience &Therapeutics, Volume 32, Issue 10, October 2026.
Based on the 2021 WHO CNS5 guidelines, this study introduces an integrated high‐risk molecular classification for gliomas and constructs a predictive model by combining multimodal MRI habitat imaging, Transformer‐based WSI pathomics, and clinical information.
Wenju Niu   +9 more
wiley   +1 more source

Analysis of Student Performance Prediction Using the Bi‐LSTM Technique Focused on the Indian Higher Education Context Using a Synthetic Dataset

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
A Nadam‐optimized Bi‐LSTM framework integrates multi‐level student and institutional data to predict academic performance with 92.5% accuracy. The approach captures bidirectional temporal patterns and enables scalable, data‐driven early warning systems and targeted interventions in higher education. ABSTRACT Student performance prediction is a critical
Sudhindra B. Deshpande   +5 more
wiley   +1 more source

Comprehensive Review of Hybridization of Kenaf Fiber/Banana Fiber Filled Polymer Composites in Automobile and Aerospace Industries

open access: yesSPE Polymers, Volume 7, Issue 4, October 2026.
Hybridization of kenaf and banana fibres in aerospace and automobile applications. ABSTRACT Natural fiber reinforced polymer composites have been extensively studied as a result of the automotive and aerospace industries' need for lightweight, durable materials and the growing environmental concerns surrounding the production of synthetic fibers.
Ayodele Abraham Ajayi   +1 more
wiley   +1 more source

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

open access: yesQuality and Reliability Engineering International, Volume 42, Issue 6, Page 3565-3583, October 2026.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi   +3 more
wiley   +1 more source

Global Three‐Dimensional Simulation of Magnetospheric Dynamics During the Extreme Geomagnetic Storm of 10–11 May 2024

open access: yesJournal of Geophysical Research: Space Physics, Volume 131, Issue 10, October 2026.
Abstract This study presents a high‐resolution three‐dimensional global magnetohydrodynamic (MHD) simulation of the historic geomagnetic storm of 10–11 May 2024, using observational data for the ACE solar wind input. This extreme event was characterized by intense solar wind dynamic pressure (∼50 nPa) and exceptionally strong interplanetary magnetic ...
Kyung Sun Park
wiley   +1 more source

AI Emulation of Stochastic Sudden Stratospheric Warming With Interpretable Latent Structure

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Rare weather regime transitions pose a challenge for data‐driven modeling due to class imbalance. In this study, we develop a probabilistic deep learning emulator for a prototypical system with regime transitions, the stochastic Holton–Mass (HM) model of stratospheric variability, and analyze the structure of its learned latent space.
C. Daniel Boscu   +6 more
wiley   +1 more source

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