Low molecular mass (LMM) fractions obtained from extracts of raspberry, red chicory, and Shiitake mushrooms have been shown to be an useful source of specific antibacterial, antiadhesion/coaggregation, and antibiofilm agent(s) that might be used for protection towards caries and gingivitis. In this paper, the effects of such LMM fractions on human gingival KB cells exposed to the periodontal pa...

The linear mixture model (LMM) has recently been used for multi-channel representation of a blurred image. This enables use of multivariate data analysis methods such as independent component analysis (ICA) to solve blind image deconvolution as an instantaneous blind source separation (BSS) requiring no a priori knowledge about the size and origin of the blurring kernel. However, there remains ...

In this paper, we consider the problem of selecting the variables of the fixed effects in the linear mixed models where the random effects are present and the observation vectors have been obtained frommany clusters. As the variable selection procedure, we here use the Akaike Information Criterion, AIC. In the context of the mixed linear models, two kinds of AIC have been proposed: marginal AIC...

The article examines the relationship between public governance perception (PG) and overall quality of financial reporting index (OQFRI). study combines World Bank’s Worldwide Governance Indicators (WGIs), which are used as a measure for country-level governance. In addition, Tang et al. (OQFRI) is to reporting. Our balanced panel data set has 418 observations, constructed with 38 countries per...

modelling of crack propagation by finite element method under mixed mode conditions is of prime importance in fracture mechanics. this paper describes an application of finite element method to the analysis of mixed mode crack growth in linear elastic fracture mechanics. crack growth process is simulated by an incremental crack-extension analysis based on the maximum principal stress criterion,...

An individual's preference for an offering can be influenced by the preferences of others in many ways, ranging from the influence of social identification and inclusion, to the benefits of network externalities. In this paper, we introduce a Bayesian autoregressive discrete choice model to study the preference interdependence among individual consumers. The autoregressive specification can ref...

BED estimates of HIV incidence from cross-sectional surveys are obtained by restricting, to fixed time T, the period over which incidence is estimated. The appropriate mean recency duration (Ω(T)) then refers to the time where BED optical density (OD) is less than a pre-set cut-off C, given the patient has been HIV positive for at most time T. Five methods, tested using data for postpartum wome...

A common task in the analysis of multi-environmental trials (MET) by linear mixed models (LMM) is estimation variance components (VCs). Most often, MET data are imbalanced (e.g., due to selection). The imbalance mechanism can be missing completely at random (MCAR), (MAR), or not random. If missing-data pattern was caused selection, it usually MAR. In this case, likelihood-based methods preferre...

Hyperspectral unmixing, which decomposes mixed pixels into the endmembers and corresponding abundances, is an important image process for further application of hyperspectral images (HSIs). Lately, unmixing problem has been solved using deep learning techniques, particularly autoencoders (AEs). However, majority them are based on simple linear mixing model (LMM), disregards spectral variability...