Results 61 to 70 of about 1,274,147 (339)

Non-Parametric Anova Methods Applied on Students' Performance Development in Course of Statistics

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2020
This study intends to use non-parametric statistical methods for comparison of mean values in assessing the changes of overall grades in basic statistics at the College of Polytechnics in Jihlava.
Martina Zámková, Martin Prokop, Radek Stolín   +2 more
doaj   +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

Estimating Position of Mobile Terminals with Survey Data

EURASIP Journal on Advances in Signal Processing, 2002
Estimating the position of mobile terminals is an important problem for cellular networks. This paper describes low cost methods of locating mobile terminals in urban environments.
McGuire Michael, Plataniotis Konstantinos N, Venetsanopoulos Anastasios N   +2 more
doaj   +1 more source

Non-parametric fitting of nonlinear equations to experi- mental data without use of initial guessing: a basic computer program

Brazilian Archives of Biology and Technology, 2000
In this work, we present a non-parametric method, and the appropriate computer program, for fitting nonlinear multiparametric equations to experimental data. Our method is followed by computation of confidence limits of the parameter estimates.
Emmanuel M. Papamichael, Nickolaos P. Evmiridis, Constaninos Potosis   +2 more
doaj   +1 more source

A comparison of linear and non-linear calibrations for speaker recognition [PDF]

, 2014
In recent work on both generative and discriminative score to log-likelihood-ratio calibration, it was shown that linear transforms give good accuracy only for a limited range of operating points.
Brümmer, Niko, Swart, Albert, van Leeuwen, David   +2 more
core   +2 more sources

Online semi-parametric learning for inverse dynamics modeling

, 2016
This paper presents a semi-parametric algorithm for online learning of a robot inverse dynamics model. It combines the strength of the parametric and non-parametric modeling.
Camoriano, Raffaello, Chiuso, Alessandro, Romeres, Diego, Zorzi, Mattia   +3 more
core   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Necessary auxiliary background for efficient use of an existing computer program of non-parametric fitting of nonlinear equations

Brazilian Archives of Biology and Technology, 2009
This work constituted a significant contribution for more efficient use of a valuable computer program of non-parametric fitting of nonlinear multiparametric equations to experimental data.
Emmanuel M. Papamichael, Leonidas G. Theodorou   +1 more
doaj   +1 more source

Two general methods for population pharmacokinetic modeling: non-parametric adaptive grid and non-parametric Bayesian [PDF]

Journal of Pharmacokinetics and Pharmacodynamics, 2013
Population pharmacokinetic (PK) modeling methods can be statistically classified as either parametric or nonparametric (NP). Each classification can be divided into maximum likelihood (ML) or Bayesian (B) approaches. In this paper we discuss the nonparametric case using both maximum likelihood and Bayesian approaches.
Tatarinova, Tatiana, Neely, Michael, Bartroff, Jay, van Guilder, Michael, Yamada, Walter, Bayard, David, Jelliffe, Roger, Leary, Robert, Chubatiuk, Alyona, Schumitzky, Alan   +9 more
openaire   +3 more sources

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