Results 51 to 60 of about 1,547 (174)

Role of N‐glycosylation as a determinant of ATG9A conformations and activity

Protein Science, Volume 35, Issue 1, January 2026.
Abstract Here, we investigate the effects of glycosylation at position N99 on the structural dynamics and lipid scrambling activity of ATG9A, a key autophagy protein, using microsecond all‐atom molecular dynamics simulations. ATG9A is an integral membrane protein involved in autophagosome biogenesis, and glycosylation at N99 has previously been ...
Mattia Utichi, Matteo Lambrughi, Henri‐Baptiste Marjault, Christian B. Borg, Sergio Esteban Echeverría, Kenji Maeda, Nicholas M. I. Taylor, Anders Gorm Pedersen, Elisa Fadda, Marja Jäättelä, Elena Papaleo   +10 more
wiley   +1 more source

Efficient Computational Strategies for Higher‐Order Homogenisation of Large‐Scale Unit Cell Models

International Journal for Numerical Methods in Engineering, Volume 126, Issue 24, 30 December 2025.
ABSTRACT Multiscale modelling methods are important for accurately predicting the behaviour of complex, heterogeneous materials. First‐order homogenisation (1OH) has been widely used in this context but shows limitations in cases where the microstructural length scale becomes comparable to the macrostructural length scale, such as in the case of woven ...
Athira Anil Kumar, Aewis K. W. Hii, Bassam El Said   +2 more
wiley   +1 more source

CVT-based swarming techniques for convex and non-convex cases

International Journal of Advanced Robotic Systems
In the multi-robot swarm control algorithm, the traditional rigid formation algorithm has low formation redundancy, and it is difficult to flexibly adapt to the external environment.
Kai Cao, Yangquan Chen, Song Gao, Manying Cheng   +3 more
doaj   +1 more source

Electrical Conductivity in Fibrous Composites

Advanced Physics Research, Volume 4, Issue 8, August 2025.
The authors derive a geometry‐based electrical model that accurately predicts how conductive fibers overlap, connect, and form percolating networks in composite materials. By uniting network physics with foam‐like cluster modeling, their equations reliably forecast percolation thresholds and conductivity across diverse fiber types and matrices ...
Luke Hunter, Sergio Bertazzo
wiley   +1 more source

Modeling a domain wall network in BiFeO3 with stochastic geometry and entropy-based similarity measure

Frontiers in Materials
A compact and tractable two-dimensional model to generate the topological network structure of domain walls in BiFeO3 thin films is presented in this study.
Davide Cipollini, Davide Cipollini, Andele Swierstra, Lambert Schomaker, Lambert Schomaker   +4 more
doaj   +1 more source

Advancing Intermediate Soil Properties (ISP) Interpolation for Enhanced Geotechnical Survey Accuracy. A Review

Engineering Reports, Volume 7, Issue 8, August 2025.
Enhancing geotechnical survey accuracy: Integrating intermediate soil properties (ISP) interpolation with multidimensional raster data (MRD) for comprehensive subsurface characterization and improved project efficiency. ABSTRACT Accurate subsurface characterization is essential in geotechnical surveys, yet traditional soil sampling techniques often ...
Aliya Aldungarova, Yelbek Utepov, Assel Mukhamejanova, Assel Tulebekova, Aida Nazarova, Akmaral Tleubayeva, Indira Makasheva, Gulnaz Zhakapbayeva, Bekbolat Makhiyev, Timoth Mkilima   +9 more
wiley   +1 more source

Generation of an optimal triangulated irregular network for topographic surface via optimal transport theory

Geo-spatial Information Science
A digital elevation model (DEM) is widely recognized as the most effective digital representation of the Earth’s surface and serves as the fundamental platform for simulating various Earth systems. Extensive efforts have been devoted to exploring methods
Feng Li, Haihong Zhu, Wei Li, Chengcheng Liu, Jianfang Ma, Lin Li   +5 more
doaj   +1 more source

High‐resolution flood probability mapping using generative machine learning with large‐scale synthetic precipitation and inundation data

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 19, Page 2859-2875, 5 August 2025.
Abstract High‐resolution flood probability maps are instrumental for assessing flood risk but are often limited by the availability of historical data. Additionally, producing simulated data needed for creating probabilistic flood maps using physics‐based models involves significant computation and time effort, which inhibit its feasibility. To address
Lipai Huang, Federico Antolini, Ali Mostafavi, Russell Blessing, Matthew Garcia, Samuel D. Brody   +5 more
wiley   +1 more source

Optimization of centroidal Voronoi tessellations

In this paper, we investigate the optimization of Centroidal Voronoi Tessellations (CVT) under geometric constraints. For this purpose, we minimize a linear combination of the standard CVT energy functional with terms involving geometric attributes such as area and perimeter.
Birgin, Ernesto G., Franco, Juan S. C., Laurain, Antoine   +2 more
openaire   +2 more sources

Leveraging deep learning to discover interpretable cellular spatial biomarkers for prognostic predictions based on hepatocellular carcinoma histology

The Journal of Pathology: Clinical Research, Volume 11, Issue 4, July 2025.
Abstract The spatial structure of various cell types in the tumour microenvironment (TME) can provide valuable insights into disease progression. However, identifying the spatial organization of diverse cell types that significantly correlates with patient prognosis remains challenging.
Huijuan Hu, Tianhua Tan, Yerong Liu, Wei Liang, Wei Zhang, Jinsong Zhang, Ju Cui, Jinghai Song, Xuefei Li   +8 more
wiley   +1 more source