Results 211 to 220 of about 177,748 (281)

A Robust Bilinear Framework for Real-Time Speech Separation and Dereverberation in Wearable Augmented Reality. [PDF]

Sensors (Basel)
Nemirovsky A, Itzhak G, Cohen I.
europepmc   +1 more source

Numerical Simulation of Post‐Yield Hysteretic Behavior of Lap‐Spliced Reinforced Concrete Bridge Pier Walls Under Earthquake Loading

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 6, Page 1356-1376, May 2026.
ABSTRACT Reinforced concrete pier walls designed before the 1970s often incorporate lap splice in potential plastic‐hinge regions. Previous experimental tests indicate that most of pier walls experienced post‐yield lap splice failure, necessitating a modeling approach that captures not only lap splice strength but also deformation capacity.
Gun Chan Lee, Sujith Mangalathu, Jong‐Su Jeon   +2 more
wiley   +1 more source

Exploring Water Beyond the Solvent: Insights into Density Fluctuations and EGFP Unfolding via Luminescence Thermometry. [PDF]

J Phys Chem B
Guo Y, Maturi FE, Filho RSR, Brites CDS, Carlos LD.   +4 more
europepmc   +1 more source

Seismic Fragility Analysis of Containment Structures in Nuclear Power Plants Considering Alkali‐Silica Reaction

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 6, Page 1467-1487, May 2026.
ABSTRACT This study quantifies the influence of alkali‐silica reaction (ASR) on the seismic fragility of prestressed concrete containment structures in nuclear power plants (NPPs). Global collapse was considered as the governing failure mode to maintain consistency with current risk assessment frameworks, and was captured using a finite element model ...
Chanyoung Kim, Hoang D. Nguyen, Oh‐Sung Kwon, Myoungsu Shin   +3 more
wiley   +1 more source

An image recognition agorithm for fine-grained high-frequency workpieces based on a multi-branch network architecture. [PDF]

Sci Rep
Deng J, Sun C, Lin J, He Y, Yin Y, Pu Q, Yang X, Jiang L.   +7 more
europepmc   +1 more source

Achieving Functionality Targets for Seismically Isolated Steel Buildings Using Gaussian Process Modeling

Earthquake Spectra, Volume 42, Issue 2, May 2026.
As seismic design paradigms shift toward functional recovery, there is a need for efficient methods to achieve desired decision variables (DVs), such as probability of replacement, repair cost, and downtime of the building, for seismically isolated buildings.
Huy G. Pham, Tracy C. Becker
wiley   +1 more source

Analytical evaluations using neural network-based method for wave solutions of combined Kairat-II-X differential equation in fluid mechanics. [PDF]

Sci Rep
Zhou P, Manafian J, Lakestani M, Ilhan OA, Bahador NJ, Fattah AA, Mahmoud KH, Nuray R, Nagiyeva N.   +8 more
europepmc   +1 more source

2025 U.S. Geological Survey National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of Model and Hazard Results

Earthquake Spectra, Volume 42, Issue 2, May 2026.
The U.S. Geological Survey recently updated the National Seismic Hazard Model (NSHM) for Puerto Rico and the U.S. Virgin Islands (PRVI). The first version of the PRVI NSHM was released in 2003, and therefore this 2025 update includes over 20 years of new geologic, geophysical, and engineering data, methods, and models.
Allison M. Shumway, Kevin R. Milner, Peter M. Powers, Morgan P. Moschetti, Jason M. Altekruse, Julie A. Herrick, Andrea L. Llenos, Kyle B. Withers, Edward H. Field, Brad T. Aagaard, Richard W. Briggs, Alexandra E. Hatem, Kirstie L. Haynie, Andrew J. Michael, Jessica A. Thompson Jobe, Kishor S. Jaiswal, Brandon S. Clayton, Nicolas Luco, Mark D. Petersen, Sanaz Rezaeian, Thomas L. Pratt, Yuehua Zeng   +21 more
wiley   +1 more source

On the best constants of Schur multipliers of second order divided difference functions. [PDF]

Math Ann
Caspers M, Reimann J.
europepmc   +1 more source

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

Flavour and Fragrance Journal, Volume 41, Issue 3, Page 437-448, May 2026.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin, Romain Krafft, Sylvain Antoniotti, Sébastien Fiorucci   +3 more
wiley   +1 more source