Results 161 to 170 of about 6,628 (246)
Multi‐endpoint clinical trials face long‐standing statistical challenges. Vector‐based comparison (VBC) decomposes endpoints into orthogonal components. Applied to five clinical trials, it reduced confidence‐interval widths by about 50%, indicating higher statistical power, without altering the clinical meaning of endpoints.
Maria Kokkali, Vangelis D. Karalis
wiley +1 more source
Clinical evaluation of the proper orthogonal decomposition framework for detecting glaucomatous changes in human subjects. [PDF]
Balasubramanian M +7 more
europepmc +1 more source
A physics‐guided cyber‐physical digital twin enables real‐time state estimation, dendrite‐risk prediction, cyber‐attack detection, and resilient control of solid‐state batteries. Physics‐informed modeling and predictive control reveal hidden degradation mechanisms, providing an interpretable framework for safer, more reliable, and intelligent battery ...
Sankar Subramanian +8 more
wiley +1 more source
Kuga–Satake Construction on Families of K3 Surfaces of Picard Rank 14
ABSTRACT The isometry between the type IV6 and the type II4 hermitian symmetric domains suggests a possible relation between suitable moduli spaces of K3 surfaces of Picard rank 14 and of polarized abelian 8‐folds with totally definite quaternion multiplication. We show how this isometry induces a geometrically meaningful map between such moduli spaces
Flora Poon
wiley +1 more source
A framework for detecting glaucomatous progression in the optic nerve head of an eye using proper orthogonal decomposition. [PDF]
Balasubramanian M +7 more
europepmc +1 more source
Randomized Algorithms for Streaming Low‐Rank Approximation in Tree Tensor Network Format
ABSTRACT In this work, we present the tree tensor network Nyström (TTNN), an algorithm that extends recent research on streamable tensor approximation, such as for Tucker and tensor‐train formats, to the more general tree tensor network format, enabling a unified treatment of various existing methods.
Alberto Bucci, Gianfranco Verzella
wiley +1 more source
Assimilation of Velocity Data for Tidal Hydrodynamics Model Calibration
Abstract Assessing tidal stream energy resource typically involves the application of numerical models calibrated against sparse Acoustic Doppler Current Profiler (ADCP) data. This introduces significant challenges in energetic sites which are prone to significant spatiotemporal variations, like the Pentland Firth, Scotland, which is home to the world ...
Connor Jordan, Athanasios Angeloudis
wiley +1 more source
Disentangling Internal Tides From Balanced Motions With Deep Learning and Surface Field Synergy
Abstract A fundamental challenge in ocean dynamics is disentangling balanced motions and internal waves. Extracting internal tidal (IT) imprints from surface data is a central part of this challenge. Traditional harmonic analysis fails under strong incoherence and poor temporal sampling, as in global satellite observations.
Han Wang +3 more
wiley +1 more source
Optimal Sensor Placement via a POD-QR Framework for High-Fidelity 3D Temperature Field Reconstruction in Large-Scale Ultra-Low Temperature Chest Freezers. [PDF]
Chen Y +5 more
europepmc +1 more source
ABSTRACT Using information in returns, we identify the stochastic process of consumption. We find that aggregate consumption reacts over multiple quarters to innovations spanned by financial markets. This persistent component accounts for over a quarter of consumption variation. These shocks command a large and significant risk premium, driving a large
SVETLANA BRYZGALOVA +2 more
wiley +1 more source

