Results 41 to 50 of about 524,430 (317)

Parameter estimation through ignorance [PDF]

Physical Review E, 2012
17 pages, 5 figures, Keywords: parameter estimation, Ignorance, Implied Ignorance, Minimum Ignorance, nonlinear dynamical system, skill score, dynamically consistent ensemble, model inadequacy, least squares, information deficit, potential predictability ...
Du, Hailiang, Smith, Leonard A.
openaire   +3 more sources

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Transformer-Based Parameter Estimation in Statistics

Mathematics
Parameter estimation is one of the most important tasks in statistics, and is key to helping people understand the distribution behind a sample of observations.
Xiaoxin Yin, David S. Yin
doaj   +1 more source

Evaluation of conditional non-linear optimal perturbation obtained by an ensemble-based approach using the Lorenz-63 model

Tellus: Series A, Dynamic Meteorology and Oceanography, 2014
The authors propose to implement conditional non-linear optimal perturbation related to model parameters (CNOP-P) through an ensemble-based approach. The approach was first used in our earlier study and is improved to be suitable for calculating CNOP-P ...
Xudong Yin, Bin Wang, Juanjuan Liu, Xiaowei Tan   +3 more
doaj   +1 more source

Parameter Estimation Using Adaptive Observations Toward Maximum Total Variance Reduction With Ensemble Adjustment Kalman Filter

Frontiers in Climate, 2022
In real applications, one common issue of parameter estimation using ensemble-based data assimilation methods is the accumulation of sampling errors when a large number of observations are used to update single-value parameters.
Zheqi Shen, Zheqi Shen, Zheqi Shen, Qian Zhong, Zengsi Chen   +4 more
doaj   +1 more source

Parameter Estimation of Quantum Channels [PDF]

IEEE Transactions on Information Theory, 2008
Final ...
Zheng-Feng Ji, Guoming Wang, Runyao Duan, Yuan Feng 0001, Mingsheng Ying   +4 more
openaire   +2 more sources

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

A systematic method of parameterisation estimation using data assimilation

Tellus: Series A, Dynamic Meteorology and Oceanography, 2016
In numerical weather prediction, parameterisations are used to simulate missing physics in the model. These can be due to a lack of scientific understanding or a lack of computing power available to address all the known physical processes ...
Matthew Lang, Peter Jan Van Leeuwen, Philip Browne   +2 more
doaj   +1 more source

Parameter estimation in quantum sensing based on deep reinforcement learning

npj Quantum Information, 2022
Parameter estimation is a pivotal task, where quantum technologies can enhance precision greatly. We investigate the time-dependent parameter estimation based on deep reinforcement learning, where the noise-free and noisy bounds of parameter estimation ...
Tailong Xiao, Jianping Fan, Guihua Zeng
doaj   +1 more source