BACKGROUND Class II MHC molecules (MHC II) are cell surface receptors displaying short protein fragments for the surveillance by CD4+ T cells. Antigens therefore have to be loaded onto this receptor in order to induce productive immune responses. On the cell surface, most MHC II molecules are either occupied by ligands or their binding cleft has been blocked by the acquisition of a non-receptiv...

This paper proposed a new wavelet based method to identify inrush currents and to distinguish it from power system faults. The proposed algorithm extracts fault and inrush generated transient signals using DWT. Transient current signals at both sides of a transformer are firstly captured. The wavelet transform is a relatively new and powerful tool in the analysis of power transformer transient ...

This paper continues our earlier investigations into the inversion of random functions in a general (abstract) setting. In Section 2 we investigate a concept of invertibility and the invertibility of the composition of random functions. In Section 3 we resolve some questions concerning the number of samples required to ensure the accuracy of parametric maximum likelihood estimation (MLE). A dir...

The aim of the present study was to evaluate physical and antioxidant properties microemulsions containing Moringa oleifera leaf extract (MLE) produced by means a deep eutectic solvent. Selected MLE were incorporated in chocolate products enrich them. Their color including CIE L*, a*, b* parameters whitening index (WI) along with DPPH radical scavenging activity assessed during period 8 months....

Although the maximum likelihood estimation (MLE) for uncertain discrete models has long been an academic interest, it yet to be proposed in literature. Thus, this study proposes MLE framework of uncertainty theory, such as logistic regression model. We also generalize by Lio and Liu obtain non-linear continuous models, Box-Cox Our methods provide a useful tool making inferences regarding data t...

The classic statistical method for modelling the rates and proportions is beta regression model (BRM). standard maximum likelihood estimator (MLE) used to estimate coefficients of BRM. However, this MLE very sensitive when regressors are linearly correlated. Therefore, study introduces a new ridge (BRR) as remedy problem instability MLE. We mean squared error properties BRR analytically then ba...

Chemical analyses of groundwater often present data sets with censored values, i.e., below the detection limit (LOD). When proportion values is significant, descriptive (mean, median and standard deviation) or exploratory geochemical analysis may be impaired. Ignoring such replacing them some predetermined value not always recommended alternative. Thus, objective this research to investigate ap...

Establishing and characterizing exposure-biomarker relationships is an important problem in molecular epidemiology. The problem is difficult due to several complicating features, namely, the biomarker response is a nonlinear function of exposure and unknown parameters; variation in exposure and biomarker levels occurs both within and between subjects; and errors tend to be heteroscedastic. To o...

Evapotranspiration is arguably the least quantified component of hydrologic cycle. We propose two complementary strategies for estimation evapotranspiration rates and root water uptake profiles from soil-moisture sensor-array data. One our implementation ensemble Kalman filter (EnKF); it treats sink term in Richards equation, rather than soil moisture, as observable to update. The other a maxim...