Results 41 to 50 of about 2,461 (211)

General Total Least Squares Theory for Geodetic Coordinate Transformations

Applied Sciences, 2020
Datum transformations are a fundamental issue in geodesy, Global Positioning System (GPS) science and technology, geographical information science (GIS), and other research fields.
Yuxin Qin, Xing Fang, Wenxian Zeng, Bin Wang   +3 more
doaj   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Least-squares methods for identifying biochemical regulatory networks from noisy measurements

BMC Bioinformatics, 2007
Background We consider the problem of identifying the dynamic interactions in biochemical networks from noisy experimental data. Typically, approaches for solving this problem make use of an estimation algorithm such as the well-known linear Least ...
Heslop-Harrison Pat, Postlethwaite Ian, Bates Declan G, Kim Jongrae, Cho Kwang-Hyun   +4 more
doaj   +1 more source

Longitudinal Single‐Axon‐Resolution Imaging of Peripheral Nerve Injury Response in Mice Using an Optical Window Implant

Advanced Science, EarlyView.
A minimally invasive optical window enables stable, long‐term imaging of peripheral nerves in vivo at single‐axon resolution. Dynamic processes of degeneration, regeneration, and cellular remodeling are visualized across multiple time scales within the same nerve region, providing a unique platform to study a variety of anatomical and molecular events ...
Igor D. Luzhansky, Emma Anisman, Ron Perez, Sophia Zhang, Morgan Hoffman, Daniel Hunter, Abigail Cherian, Jevon Bonner, Emilia Feria, Ahmed Ahmed, Muneeb Malik, Junwei Du, Leland C. Sudlow, David M. Brogan, Matthew D. Wood, Mikhail Y. Berezin   +15 more
wiley   +1 more source

Structural Damage Identification Based on AR Model with Additive Noises Using an Improved TLS Solution

Sensors, 2019
Structural damage is inevitable due to the structural aging and disastrous external excitation. The auto-regressive (AR) based method is one of the most widely used methods for structural damage identification. In this regard, the classical least-squares
Cai Wu, Shujin Li, Yuanjin Zhang
doaj   +1 more source

PDGFRα+/Integrin α2+ Fibroblasts Orchestrate Tumor Budding in Oral Squamous Cell Carcinoma via Mechano‐Metabolic Symbiosis: E‐Cadherin/Integrin α2β1 Adhesion and Mitochondrial Transfer

Advanced Science, EarlyView.
PDGFA/PDGFRα signaling recruits CAFs to OSCC nests, and CAF‐OSCC contact drives tumor budding invasion. Mechanistically, heterotypic adhesion via E‐cadherin/integrin α2β1 activates YAP signaling in OSCC cells, inducing EMT. Concurrently, CAFs transfer mitochondria through TNTs, supplying ATP to fuel invasion.
Yufang Liu, Jiao Li, Juan Liu, Qi Dong, Haoyang Zhang, Yanjin Wang, Huibing Li, Ye Guan, Lei Cao, Manqing Zhang, Fangning Guo, Xue Liu, Zhen Yang, Mengmeng Lu, Hui Liu, Laiping Zhong, Tong Ji, Tingjiao Liu   +17 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Total Least Squares Estimation in Hedonic House Price Models

ISPRS International Journal of Geo-Information
In real estate valuation using the Hedonic Price Model (HPM) estimated via Ordinary Least Squares (OLS) regression, subjectivity and measurement errors in the independent variables violate the Gauss–Markov theorem assumption of a non-random coefficient ...
Wenxi Zhan, Yu Hu, Wenxian Zeng, Xing Fang, Xionghua Kang, Dawei Li   +5 more
doaj   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Algorithms and statistical analysis for linear structured weighted total least squares problem

Geodesy and Geodynamics
Weighted total least squares (WTLS) have been regarded as the standard tool for the errors-in-variables (EIV) model in which all the elements in the observation vector and the coefficient matrix are contaminated with random errors.
Jian Xie, Tianwei Qiu, Cui Zhou, Dongfang Lin, Sichun Long   +4 more
doaj   +1 more source