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Superlubricity and Corrosion Inhibition Properties of Solvate Ionic Liquids in Hybrid Carbon Fiber Reinforced Plastic–Steel Interfaces

Advanced Engineering Materials, EarlyView.
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees, Timothy Harte, Bhagya Dharmasiri, Y. Athulya Wickramasingha, David J. Hayne, Daniel J. Eyckens, Luke C. Henderson   +6 more
wiley   +1 more source

Analyzing an organism's sensors using Maximum Entropy (MaxEnt) models with bias, variance, and confusion matrices. [PDF]

PLoS One
Wang C, Schimke E, Kako T, Gao A, Lamberti M, le Feber J, Marzen S.   +6 more
europepmc   +1 more source

Efficiency Enhancement in Testing Treatment Efficacy Across Multiple Populations Using Treatment Crossover Data. [PDF]

Stat Med
Emoto R, Ishii K, Takamura T, Matsui S.
europepmc   +1 more source

Implementing empirical likelihood within the causal inference framework to study causal effects of air pollution on reproductive development. [PDF]

Stat Methods Med Res
Sharghi S, Stoll KE, Thurston SW, Barrett E, Johnson B.   +4 more
europepmc   +1 more source

Variance-Guided Regression for Heteroscedastic Data With a Grouping-Based Extension for Nonlinear Prediction. [PDF]

Stat Med
Liu S, Lu M.
europepmc   +1 more source

P3LS: Point Process Partial Least Squares. [PDF]

Biometrics
Namdari J, Krafty RT, Manatunga A.
europepmc   +1 more source

A New Mixed Biased Estimator for Ill-Conditioning Challenges in Linear Regression Model With Chemometrics Applications. [PDF]

Anal Sci Adv
Amin M, Aljeddani SMA, Akram MN, Yasmeen S.   +3 more
europepmc   +1 more source

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Least squares estimates and the coverage of least squares costs

52nd IEEE Conference on Decision and Control, 2013
The least squares estimate xN minimizes the sum of the squared residuals equation over a finite set of observations (Ai, bi). At x = xN, the squared residuals ∥AixN-bi∥2 are called the “empirical costs”. Intuitively, the empirical costs carry information on the probability distribution of the cost ∥AxN-b∥2 that is paid for other, yet unseen, values of (
Carè, Algo, Garatti, Simone, Campi, Marco C.   +2 more
openaire   +4 more sources

Asymmetric Least Squares Estimation and Testing

Econometrica, 1987
This paper considers estimation and hypothesis tests for coefficients of linear regression models, where the coefficient estimates are based on location measures defined by an asymmetric least squares criterion function. These asymmetric least squares estimators have properties which are analogous to regression quantile estimators, but are much simpler
Newey, Whitney K, Powell, James L
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Fastiterative methods for least squares estimations

Numerical Algorithms, 1994
The paper is a continuation of the research works of the authors in connection with solving of Toeplitz systems (or Yule-Walker type systems) by the preconditioned conjugate gradient method using circulant preconditioners. The authors propose some circulant preconditioners with the aid of the spectral density function of the given discrete-time ...
Michael K. Ng 0001, Raymond H. Chan
openaire   +3 more sources