Results 111 to 120 of about 2,136,192 (344)

In-Flight Self-Alignment Method Aided by Geomagnetism for Moving Basement of Guided Munitions

Journal of Control Science and Engineering, 2015
Due to power-after-launch mode of guided munitions of high rolling speed, initial attitude of munitions cannot be determined accurately, and this makes it difficult for navigation and control system to work effectively and validly.
Shuang-biao Zhang, Xing-cheng Li, Zhong Su   +2 more
doaj   +1 more source

Goodness-of-fit test in a multivariate errors-in-variables model $\mathit{A}\mathit{X}=\mathit{B}$

Modern Stochastics: Theory and Applications, 2016
We consider a multivariable functional errors-in-variables model $AX\approx B$, where the data matrices A and B are observed with errors, and a matrix parameter X is to be estimated.
Alexander Kukush, Yaroslav Tsaregorodtsev   +1 more
doaj   +1 more source

Investigating uncertainty in macroeconomic forecasts by stochastic simulation [PDF]

We investigate four sources of uncertainty with CPB’s macroeconomic model SAFFIER: provisional data, exogenous variables, model parameters and residuals of behavioural equations. Uncertainty is an inherent attribute of any forecast.
Debby Lanser, Henk Kranendonk
core  

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

Molecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source

Calibrating Car-Following Model Considering Measurement Errors

Advances in Mechanical Engineering, 2013
Car-following model has important applications in traffic and safety engineering. To enhance the accuracy of model in predicting behavior of individual driver, considerable studies strive to improve the model calibration technologies.
Chang-qiao Shao, Xiao-ming Liu, Zhi-yong Zhang   +2 more
doaj   +1 more source

Improving dynamical climate predictions with machine learning: insights from a twin experiment framework [PDF]

Nonlinear Processes in Geophysics
Systematic errors in dynamical climate models remain a significant challenge to accurate climate predictions, particularly when modeling the nonlinear coupling between the atmosphere and ocean.
Z. He, Z. He, Z. He, J. Brajard, Y. Wang, X. Wang, X. Wang, Z. Shen, Z. Shen   +8 more
doaj   +1 more source

Weather Forecasting Error in Solar Energy Forecasting

, 2017
As renewable distributed energy resources (DERs) penetrate the power grid at an accelerating speed, it is essential for operators to have accurate solar photovoltaic (PV) energy forecasting for efficient operations and planning.
Foruzan, Elham, Motalleb, Mahdi, Sangrody, Hossein, Sarailoo, Morteza, Tran, Nhu, Zhou, Ning   +5 more
core   +1 more source

Dynamic Error-in-variables Models

Austrian Journal of Statistics, 2016
Several environmental problems are described by models defined by systems of first order differential equations. Typically, the derivatives of concentrations are expressed as functions of independent variables such as temperature, pressure, pH, etc. However, the independent variables are generally known only through measurements made at discrete times.
openaire   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Efficient Estimation of a Dynamic Error-Shock Model [PDF]

This paper is concerned with the estimation of the parameters in a dynamic simultaneous equation model with stationary disturbances under the assumption that the variables are subject to random measurement errors.
Cheng Hsiao, P. M. Robinson
core