Results 121 to 130 of about 55,741 (254)
Understanding how environmental variability structures essential fish habitat (EFH) is central to managing keystone populations in dynamic marine ecosystems. Using nearly three decades of standardized survey data (1994–2021) from the Adriatic Sea, we present the first basin‐scale, process‐based framework linking estimated habitat suitability and ...
Mahallelah Shauer +9 more
wiley +1 more source
Compound drivers of Antarctic sea ice loss and Southern Ocean destratification. [PDF]
Narayanan A +8 more
europepmc +1 more source
High‐Voltage Stability of LiCoO2 Cathode Materials Composited With Vanadium‐Based Glass Coatings
Vanadium‐based glasses show fluidity and good wettability toward other materials at low temperatures. The controlled precipitation of nanocrystals in vanadium‐based glasses enhances the material's mechanical properties and electrical conductivity. The VPFL coatings bond to the LiCoO2 interface via chemical bonds.
Xu Wang +9 more
wiley +1 more source
Giant iceberg behaviour impacts regional biogeochemical cycling in the Southern Ocean. [PDF]
Taylor LR +12 more
europepmc +1 more source
Ocean Governance and Marine Conservation: Institutional Work as a Lever for Ocean Sustainability
ABSTRACT Ocean governance presents one of the most complex environmental policy challenges of our time, requiring coordinated action across multiple scales, sectors and stakeholder groups. This paper applies institutional work theory to systematically examine how actors create, maintain and disrupt the governance arrangements underpinning ocean ...
Kedar Uttam +3 more
wiley +1 more source
A chlorophyll halo over maud rise in the southern ocean. [PDF]
Ducrocq B +5 more
europepmc +1 more source
Abstract This article summarizes data for 13 investigational treatments for which at least preliminary seizure outcome data in patients with epilepsy were reported at the Eighteenth Eilat Conference on New Antiepileptic Drugs and Devices held in Madrid, Spain, on May 3–6, 2026.
Meir Bialer +7 more
wiley +1 more source
Graph Neural Network‐Based Prediction of Building Energy Consumption
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti +4 more
wiley +1 more source
Evolving Southern Ocean overturning in warming climates. [PDF]
Zhu T, Liu W.
europepmc +1 more source
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source

