Results 71 to 80 of about 100 (99)
CoCryoViS: Collaborative online cryo‐electron tomography visualization system
Protein Science, Volume 35, Issue 8, August 2026.Abstract We present a collaborative, interactive, web‐based visualization and processing system for Cryo‐Electron Tomography (cryo‐ET) data that supports the complete workflow, from raw tilt‐series projections to final 3D segmentations. The system integrates tilt‐series alignment, motion correction, tomographic reconstruction, manual and pseudo ...
Omar Mena +8 more
wiley +1 more source
Large‐Dimensional Cointegrated Threshold Factor Models: The Global Term Structure of Interest Rates
Oxford Bulletin of Economics and Statistics, Volume 88, Issue 4, Page 677-689, August 2026.ABSTRACT In this paper we extend the two‐level factor model to account for cointegration between group‐specific factors in large datasets. We propose two nonlinear specifications: (i) a threshold vector error correction model (VECM) that allows for asymmetric adjustment across regimes; and (ii) a band VECM that captures state‐dependent adjustment which
Daniel Abreu, Paulo M. M. Rodrigues
wiley +1 more source
Surface and Boundary Corrections in Peridynamics Using Optimized Nodal Influence Weights
International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.ABSTRACT Peridynamics (PD), similarly to some other nonlocal continuum theories, exhibits truncated interaction horizons near free surfaces, cracks, and voids in bounded domains. This loss of neighbors causes artificial surface effects and inconsistencies in the derivative and energy operators that persist under discretization refinement, limiting PD ...
Arman Shojaei +5 more
wiley +1 more source
A Hierarchical Deep Symbolic AI Method for Closed‐Form, Interpretable Constitutive Modeling
International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.ABSTRACT Recent advances in advanced manufacturing have enabled the development of multifunctional materials such as soft composites, whose complex nonlinear behaviors demand accurate and interpretable constitutive modeling. Traditional phenomenological formulations rely heavily on assumed functional forms and expert intuition, requiring extensive ...
Haozhe Yu +3 more
wiley +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, Volume 72, Issue 7, July 2026.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Advanced Physics Research, Volume 5, Issue 7, July 2026.ABSTRACT We introduce a family of bosonic quantum error‐correcting codes built as a rotation‐symmetric superposition of squeezed vacuum states, which promise protection against both loss and dephasing noise channels. The robustness of these “squeezed‐vacuum codes” arises from being arranged at evenly spaced angles in phase‐space, and simultaneously in ...
Nir Gutman +4 more
wiley +1 more source
Shifted Poisson structures on higher Chevalley-Eilenberg algebras. [PDF]
Lett Math PhysKemp C, Laugwitz R, Schenkel A.
europepmc +1 more source
Statistics in Medicine, Volume 45, Issue 15-17, July 2026.ABSTRACT Background Weighting methods are widely used for confounding adjustment in observational studies, but their finite‐sample behavior depends on implementation choices and empirical overlap. We compare IPTW, just‐ and over‐identified covariate balancing propensity score (CBPS), CBPS by tailored‐loss function (CBPS‐TLF), energy balancing (EB), and
Etienne Peyrot +2 more
wiley +1 more source
Earth and Space Science, Volume 13, Issue 7, July 2026.Abstract Spectral and hyperspectral data provide essential information on the surface composition of rocky planetary bodies, through which we can reconstruct and understand their origin and geologic evolution. In this field, applications of advanced tools, such as machine learning‐based algorithms, are steadily increasing.
Beatrice Baschetti +4 more
wiley +1 more source
Application of Deep Learning in Virtual Power Plants—A Review
Energy Internet, Volume 3, Issue 2, Page 97-110, July 2026.ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu +7 more
wiley +1 more source