Results 121 to 130 of about 8,000 (250)

Electron microscopy‐based three‐dimensional subcellular imaging of plant male gametophyte

open access: yesJournal of Integrative Plant Biology, EarlyView.
The Aquilos2 Cryo‐FIB workflows provide practical routes for cryo‐electron tomography and volume imaging in plant structural biology. ABSTRACT Understanding cellular events in three dimensions (3D) is of great importance for the annotation and illustration of biological processes in a contextual way. Imaging techniques based on electron microscopy (EM),
Zhiqi Liu   +9 more
wiley   +1 more source

A geophysical investigation of the Roter Kamm impact crater, Namibia

open access: yesMeteoritics &Planetary Science, EarlyView.
Abstract The Roter Kamm impact crater is located in the southern Namib Desert. The crater has a diameter of 2.5 km and belongs to the category of simple, bowl‐shaped impact craters, with an elevated rim of fractured target rock. The crater's interior is completely buried beneath sediments, preventing extensive surface investigations of the bedrock ...
Hannah Nienhaus   +6 more
wiley   +1 more source

Is the European Union's innovation policy sufficient to enable marine, coastal, and freshwater restoration in Europe?

open access: yesRestoration Ecology, EarlyView.
Abstract Introduction The European Union (EU) policy framework emphasizes the importance of innovation to achieve the environmental goals and to ensure continued economic growth and increased EU global competitiveness. Objectives This paper analyses whether those policy instruments can effectively support ecosystem restoration.
Sašo Gorjanc   +6 more
wiley   +1 more source

Beaver dam analogues increase amphibian breeding occupancy and bat activity

open access: yesRestoration Ecology, EarlyView.
Abstract Introduction Beavers are ecosystem engineers that can create ponds, increase stream complexity, and enhance biodiversity. To mimic these and other effects, restoration practitioners increasingly install beaver dam analogues (BDAs) in degraded streams.
Julianna Hallza   +6 more
wiley   +1 more source

Brain strain: Blood flow and metabolism in environmental extremes

open access: yesExperimental Physiology, EarlyView.
Abstract This narrative review compares and contrasts the most commonly encountered environmental stressors on human cerebrovascular functioning. From high altitude and space, extreme apnoea, heat and cold stress, the impact of these stressors on the regulation of cerebral blood flow (CBF) and oxygen metabolism (CMRO2${\mathrm{CM}}{{\mathrm{R}}_ ...
Dario Vrdoljak   +3 more
wiley   +1 more source

Enhancing stroke risk stratification in atrial fibrillation through non‐Newtonian blood modelling and Gaussian process emulation

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Non‐Newtonian modelling and GPEs for stroke risk in atrial fibrilation patients. Abstract Atrial fibrillation (AF) is the most common heart arrhythmia, linked to a five‐fold increase in stroke risk. The left atrial appendage (LAA), prone to blood stasis, is a common thrombus formation site in AF patients.
Paolo Melidoro   +12 more
wiley   +1 more source

Understanding cell‐penetrating peptide mechanisms using computational electrophysiology simulations

open access: yesProtein Science, Volume 35, Issue 4, April 2026.
Abstract Cell‐penetrating peptides (CPPs) can enter cells without inducing cytotoxicity and can be coupled with cargo molecules to be used to deliver drugs, DNA, or nanoparticles into cells. The peptide‐membrane interactions driving the internalization mechanism are not completely understood. In this study, we introduce Computational Electrophysiology (
Eric Catalina‐Hernandez   +3 more
wiley   +1 more source

Transfer Learning for Transformer‐Based Drought Forecasting Across Diverse Precipitation Products in India

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Effective drought management is critical for agriculture‐based economies like India. This study examines whether a transformer‐based architecture can function as a robust pre‐trained backbone for operational drought forecasting across India. We utilized a pre‐trained transformer model, which was trained on the Indian Monsoon Data Assimilation ...
Ashish Pathania, Vivek Gupta
wiley   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

open access: yesJournal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen   +4 more
wiley   +1 more source

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