Results 51 to 60 of about 1,351,383 (295)

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

Advanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang, Yan Wang, Luonan Chen, Chunman Zuo   +3 more
wiley   +1 more source

An Algorithm for Restoring a Function from Different Functionals for Predicting Rare Events in the Economy

Финансы: теория и практика, 2022
This paper aims to restore some parameters of functionals using cubic splines to forecast rare events in finance and economics. The article considers the mathematical method for recovering an unknown function from many different functionals, such as the ...
Yu. A. Korablev
doaj   +1 more source

AI‐Assisted Digital Single‐Molecule Activity Tracker for Decoupling Intrinsic Heterogeneity from Photo‐Oxidative Damage in High‐Photon‐Flux Enzymology

Advanced Science, EarlyView.
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng, Qi Yang, Jinze Li, Fuqiang Ma, Xuefeng Wang, Zhen Guo, Chuanyu Li, Dongshu Li, Jia Yao, Zhiqi Zhang, Wei Zhang, Lianqun Zhou   +11 more
wiley   +1 more source

A Five-Axis Toolpath Corner-Smoothing Method Based on the Space of Master–Slave Movement

Machines
The smoothing of linear toolpaths plays is critical in improving machining quality and efficiency in five-axis CNC machining. Existing corner-smoothing methods often overlook the impact of spline curvature fluctuations, which may lead to acceleration ...
Song Gao, Haiming Zhang, Jianzhong Yang, Jiejun Xie, Wanqiang Zhu   +4 more
doaj   +1 more source

Research on Railway Passenger Volume Forecast Based on the Spline Interpolation and IPSO-Gradient Difference Acceleration Rule

Journal of Advanced Transportation, 2023
In order to solve the problem that the railway passenger volume data are abnormal due to holidays and major events interfering with the prediction accuracy, the spline interpolation method is introduced to replace the abnormal passenger volume data.
Dingyuan Fan, Fei Yang, Jinghao Ji, Zexi Zhang   +3 more
doaj   +1 more source

Estimasi Model Regresi Spline Kubik Tersegmen dengan Metode Penalized Least Square

Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam, 2022
: Nonparametric regression is used for data whose data pattern is non-parametric. One of the estimators that can be developed is a segmented cubic spline which is able to show several segmentation changes in the data.
Anna Islamiyati, Anisa Anisa, Raupong Raupong, Jusmawati Massalesse, Nasrah Sirajang, Sitti Sahriman, Alfiana Wahyuni   +6 more
doaj   +1 more source

Disorder‐Driven Fast Na+ Transport: From Crystalline to Amorphous Networks in the Mixed‐Anion NaTaOxCl6−2x Oxychlorides

Advanced Energy Materials, EarlyView.
Oxygen substitution in NaTaOxCl6‐2x drives structural evolution from isolated [TaCl6]– octahedra, through oxygen‐bridged [Ta2OCl10]2– dimers, toward extended trans‐[TaO2Cl4]3– chain‐like arrangements. At intermediate compositions, zero‐dimensional corner‐sharing motifs are proposed to create a flexible, disordered framework that peaks ionic ...
Justin Leifeld, Abigail C. Parsons, Alexandra Morscher, Xabier Martinez de Irujo‐Labalde, Marvin A. Kraft, Oskar G. Soulas, Bibek Samanta, Wiebke Zielasko, Neelam Yadav, Kyra Strotmann, Niina Jalarvo, Bruno V. M. Rodrigues, Adam Slabon, Philipp Adelhelm, Michael Ryan Hansen, David O. Scanlon, Wolfgang G. Zeier, Alexander G. Squires   +17 more
wiley   +1 more source

Hybrid Fourier series and smoothing spline path non-parametrics estimation model

Frontiers in Applied Mathematics and Statistics, 2023
Pathway analysis is one way to determine whether there is a causal relationship between extrinsic and intrinsic factors. The linearity assumption is something that can change the model. The shape of the model is subject to linearity assumptions.
Atiek Iriany, Adji Achmad Rinaldo Fernandes   +1 more
doaj   +1 more source

P-spline anova-type interaction models for spatio-temporal smoothing [PDF]

, 2009
In recent years, spatial and spatio-temporal modelling have become an important area of research in many fields (epidemiology, environmental studies, disease mapping, ...).
Durbán, María, Lee, Dae-Jin
core  

Locally Adaptive Bayesian P-Splines with a Normal-Exponential-Gamma Prior [PDF]

, 2008
The necessity to replace smoothing approaches with a global amount of smoothing arises in a variety of situations such as effects with highly varying curvature or effects with discontinuities.
Scheipl, Fabian, Kneib, Thomas
core   +1 more source