Results 211 to 220 of about 32,179 (312)

Evolution of Coupled Seismic‐Aseismic Slip During the 2025 Mw 6.8 Sanriku‐Oki, Japan, Megathrust Sequence

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract On 9 November 2025, a Mw 6.8 Sanriku‐Oki earthquake struck a Japan Trench segment with inferred recurrent aseismic slip and Mw ∼7 earthquakes. Using S‐net seafloor data, we examine the preparatory and post‐mainshock evolution of this foreshock–mainshock–aftershock sequence.
Keisuke Yoshida
wiley   +1 more source

Computational study of permeability in cardboard coating layers

open access: yesAIChE Journal, Volume 72, Issue 7, July 2026.
Abstract We develop a virtual material structure model based on a combination of tessellations and Gaussian random fields for a coating layer of paperboard used for packaging and designed to facilitate printing on the surface. To fit the model to tomographic image data acquired using combined focused ion beam and scanning electron microscopy (FIB‐SEM),
Sandra Barman   +6 more
wiley   +1 more source

Predicting Crack Propagation in Brittle TPMS Under Uniaxial Loading: A Dual Concept Approach via Geodesic Lines and Cross‐Sectional Analysis

open access: yesInternational Journal of Ceramic Engineering &Science, Volume 8, Issue 4, July 2026.
Cracking in brittle TPMS structures is governed by their geometry, with cracks propagating along geodesic paths determined by the initial crack orientation. Regions with small cross‐sections and abrupt area transitions identify critical damage regions and explain the differences in compressive strength among Primitive, Gyroid, Neovius, and IWP designs.
Thi Ngoc Diep Tran   +2 more
wiley   +1 more source

Beyond Average Hive Performance: Tail Risk Measurement in Italian Apiculture With Honey‐at‐Risk

open access: yesEnvironmetrics, Volume 37, Issue 5, July 2026.
ABSTRACT This paper provides a framework for measuring honey‐production risk that complements standard mean‐based analyses by explicitly targeting downside tail risk. Using hive‐weight data from a large sample of Italian hives over the period 2021–2024, downside tail risk is quantified through the Honey‐at‐Risk (HaR) metric, defined as the quantile of ...
Alessio Brini   +3 more
wiley   +1 more source

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