Results 51 to 60 of about 4,584,642 (232)

Considering a non-polynomial basis for local kernel regression problem [PDF]

, 2016
A common used as solution for local kernel nonparametric regression problem is given using polynomial regression. In this study, we demonstrated the estimator and properties using maximum likelihood estimator for a non-polynomial basis such B-spline to ...
Habshah Midi, Midi, Habshah, Divo Dharma Silalahi, Silalahi, Divo Dharma   +3 more
core   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Capturing Multiple Singularities with Spectral Accuracy for Multi-Term Fractional Differential Equations

Mathematics
This paper develops a robust numerical scheme based on a frame collocation method for solving multi-term fractional ordinary differential equations (FODEs) whose solutions exhibit multiple singularities at the origin.
Han Fu, Tinggang Zhao, Benxue Gong
doaj   +1 more source

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

Advanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M. van der Woude, Joram Hooghiem, Wouter Peters, Zhu Liu, Zhu Deng, Zhe Jin, Xiangjun Tian, Yilong Wang, Junjie Liu, Sudhanshu Pandey, Chris O'Dell, Jiang Bian, John Miller, Xin Lan, Jefferson Goncalves De Souza, Michael O'Sullivan, Pierre Friedlingstein, Julien Alléon, Yi Xi, Daniel S. Goll, Lei Zhu, Guido R. van der Werf, Shilong Piao, Frédéric Chevallier   +32 more
wiley   +1 more source

Application of a Neural-Network Algorithm Based on Orthogonal Laguerre Polynomials to the Solution of the Cauchy Problem for Differential Equations with a Variable-Order Fractional Derivative on the Example of the Fractional Lane–Emden Equation

Computation
This paper proposes, implements, and tests a neural-network method based on orthogonal Laguerre polynomials for the numerical solution of the Cauchy problem for a singular nonlinear Lane–Emden equation with a variable-order fractional derivative.
Dmitriy Tverdiy, Roman Parovik
doaj   +1 more source

Raman Analysis of RNA Nucleotide Strands From SARS‐CoV‐2 Variants and Subvariants: A Step Forward in the Definition of “Raman Genome”

Advanced Science, EarlyView.
Main Raman signals in RNA, related to helical backbone, ribofuranose ring, and nitrogenous bases, are affected by secondary structures that cause hyperchromic effects and significantly alter the Raman intensity. ABSTRACT Raman spectra of RNA nucleotide strands extracted from 20 SARS‐CoV‐2 strains, including the original Japanese isolate, Alpha, Beta ...
Giuseppe Pezzotti, Yoshiki Yasukochi, Gianluca Angiola, Takaharu Ueno, Saki Ikegami, Rintaro Okawa, Tetsuya Adachi, Wenliang Zhu, Osam Mazda, Alfio Grillo, Koichiro Higasa, Kazu Okuma   +11 more
wiley   +1 more source

Fractional-Order Control Equation Formulation and Performance Analysis of Viscoelastic Plates Based on Constitutive Model

Modelling and Simulation in Engineering
Viscoelastic structures exhibit pronounced time memory effects and spatial nonlocal coupling under complex dynamic environments, which makes it difficult for traditional integer-order models to achieve both accurate representation and numerical stability.
Lei Hu, Junhua Mei
doaj   +1 more source

Load-Sharing Optimization of Parallel Marine Diesel Generators Using Differential Evolution Algorithm

Journal of Marine Science and Engineering
Efficient load sharing among parallel marine diesel generators enables the minimization of fuel consumption and improves the operational efficiency of shipboard power systems under variable loading conditions. This study presents a Differential Evolution
Josip Dujmović, Vladimir Pelić, Darko Glujić, Predrag Kralj   +3 more
doaj   +1 more source