Results 91 to 100 of about 128 (127)
A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley +1 more source
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira +2 more
wiley +1 more source
Improved Post‐Processing Framework for Whole Slide Imaging and 3D Reconstruction
Workflow for 3D reconstruction of marmoset whole‐slide histology. Individual tiles undergo vignette correction to address illumination artifacts before stitching into full‐section images. Sections are then reconstructed using the Possum framework, with a level‐set method incorporated at the nonlinear deformable stage to stabilize alignment and reduce ...
Emily L. De Leon Alvarado +8 more
wiley +1 more source
SubDIVIDE integrates a physics‐consistent DIVIDE subspace directly into MRI reconstruction. By embedding a low‐rank basis derived from a large DIVIDE signal dictionary into a joint ADMM optimization—together with composite sensitivity maps that absorb inter‐b‐value phase errors—the framework recovers quantitative microstructural maps from highly ...
Cheng Yang +4 more
wiley +1 more source
ABSTRACT Understanding the multiscale patterns and interactions of cultivated land multifunctionality is important for conservation, governance, and agricultural spatial optimization in the Dongting Lake region. Using 2020 data, we evaluated economic production (EPF), social security (SSF), landscape‐based recreation (LRF), and ecological maintenance ...
Chaomin Li +4 more
wiley +1 more source
Quantization of Polaritons Confined in Dielectric Structures
This study addresses the limitations of the Hopfield model of strong light‐matter coupling in the case of structured dieletrics. A method to derive quantum models in the polariton basis using Bogoliubov transformation and third quantization is introduced, demonstrating how to boost interaction strength and engineer nonlocal interactions for strongly ...
Amir Rahmani +4 more
wiley +1 more source
Controlling the Center of Mass Motion of Levitated Particles Using Structured Wavefronts
Optically levitated particles have great potential for quantum‐enhanced sensing. Precise control of the trapping beam is crucial to improve the stability and confinement of these systems. Here, we study how structured wavefronts can be used to control the center‐of‐mass motion of levitated particles, enhancing trap stiffness and enabling stable ...
Shah Jee Rahman +7 more
wiley +1 more source
Theory of Supercritical Coupling and Generalized Bound States in the Continuum
We develop a general theory of supercritical coupling and generalized bound states in the continuum (gBICs), revealing how interference between radiative and absorptive channels enables quality factors beyond conventional material‐loss limits. The framework unifies non‐Hermitian mode coupling, causality‐driven reactive interactions, and interference ...
Sergio Balestrieri +3 more
wiley +1 more source
Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds
A generative reparameterization framework for nanophotonic inverse design is introduced, restricting optimization to a learned manifold of design‐rule‐compliant geometries. Unlike conventional penalty‐based approaches, fabrication constraints are encoded intrinsically within the design representation.
Bahrem Serhat Danis +8 more
wiley +1 more source

