Data reduction has been used widely in data mining for convenient analysis. Principal component analysis (PCA) and factor analysis (FA) methods are popular techniques. The PCA and FA reduce the number of variables to avoid the curse of dimensionality. The curse of dimensionality is to increase the computing time exponentially in proportion to the number of variables. So, many methods have been ...

Taking advantage of the S4 class system of the programming environment R, which facilitates the creation and maintenance of reusable and modular components, an objectoriented solution for robust factor analysis is developed. The solution resides in the package robustfa. In the solution, new S4 classes "Fa", "FaClassic", "FaRobust", "FaCov", "SummaryFa" are created. The robust factor analysis fu...

Dietary long-chain fatty acids (FA) may influence pathological processes involving endothelial activation, including inflammation and atherosclerosis. We have previously shown that the n-3 FA docosahexaenoate (DHA) inhibits endothelial activation in the range of nutritionally achievable plasma concentrations. The present study assessed structural determinants for this effect. Saturated, monouns...

Back-Propagation (BP) neural network, as one of the most mature and most widespread algorithms, has the ability of large scale computing and has unique advantages when dealing with nonlinear high dimensional data. But when we manipulate high dimensional data with BP neural network, many feature variables provide enough information, but too many network inputs go against designing of the hidden-...

BACKGROUND Formaldehyde (FA) is classified as a human carcinogen and has been linked to increased leukemia rates in some epidemiologic studies. Inhalation of FA induces sensory irritation at relatively low concentrations. However, little is known concerning the cellular alterations observed after FA exposure in humans. OBJECTIVES Our aim was to profile global gene expression in Hs 680.Tr huma...

This study proposes a three-staged approach to data envelopment analysis (DEA) modeling for hospital efficiency. The aims overcome the constraint on number of inputs/outputs relative DMUs. Initially, principal components all inputs and outputs are determined using component (PCA). Next, these enter factor (FA) process construct two-level hierarchy establish weighting scheme based explained vari...

Az utóbbi 5-10 évben sorra épülnek világszerte az egyre magasabb fa magasházak, „tömegfa” (mass timber) tartószerkezetű épületek, és Franciaország sem akar ebből kimaradni. Ez a szerethető kisebb épület egy párizsi foghíjtelekre épült, kis karbonlábnyommal.

BACKGROUND AND PURPOSE Persistently hypointense lesions on T1-weighted MR images have been shown to correlate with the amount of axonal damage and clinical disability in multiple sclerosis (MS) patients. The purpose of this study was to investigate whether diffusion coefficient D(av) and fractional anisotropy (FA) are able to detect quantifiable differences among three groups of focal nonactive...

background: one of the key issues in determining the quality of water in rivers is to create a water quality control network with a suitable performance. the measured qualitative variables at stations should be representative of all the changes in water quality in water systems. since the increase in water quality monitoring stations increases annual monitoring costs, recognition of the station...