In this paper the development of a new internet information system for analyzing and classifying melanocytic data, is briefly described. This system also has some teaching functions, improves the analyses of datasets based on calculating the values of the TDS (Total Dermatoscopy Score) (Braun-Falco, Stolz, Bilek, Merkle, & Landthaler, 1990; Hippe, Bajcar, Błajdo, Grzymała-Busse, Grzymała-Busse,...

OBJECTIVE To assess whether natural variations in decosahexaenoic acid (DHA) levels in breast milk would relate to infant neurobehavioral outcomes at the newborn stage following equivocal findings on infant and toddler outcomes of exposure to DHA in formula and breast milk. METHODS Breast milk samples from N = 20 mothers were collected 9 days after delivery, while the Brazelton Neonatal Behav...

The training of Neural Networks and particularly Multi-Layer Perceptrons (MLP's) is made by minimizing an error function usually known as "cost function". In our previous works, we apply the Error Entropy Minimization (EEM) algorithm in classification and its optimized version using, as cost function, the entropy of the errors between the outputs and the desired targets of the neural network. O...

SPIRAL is a generator for libraries of fast software implementations of linear signal processing transforms. These libraries are adapted to the computing platform and can be re-optimized as the hardware is upgraded or replaced. This paper describes the main components of SPIRAL: the mathematical framework that concisely describes signal transforms and their fast algorithms; the formula generato...

Great progress has been made on DPLL based SAT solvers operating on CNF encoded SAT theories. However, for most problems CNF is not a very natural representation. Typically these problems are more easily expressed using unrestricted propositional formulae and hence must be converted to CNF before modern SAT solvers can be applied. This conversion entails a considerable loss of information about...

We present an extension of past time LTL with call/return atoms, called ptCaRet, together with a monitor synthesis algorithm for it. ptCaRet includes abstract variants of past temporal operators, which can express properties over traces in which terminated function or procedure executions are abstracted away into a call and a corresponding return. This way, ptCaRet can express safety properties...

MALDI-TOF MS has been shown capable of rapidly and accurately characterizing bacteria. Highly reproducible spectra are required to ensure reliable characterization. Prior work has shown that spectra acquired manually can have higher reproducibility than those acquired automatically. For this reason, the objective of this study was to optimize automated data acquisition to yield spectra with rep...

The current study focuses on utilization of the natural biocompatible polymer zein to formulate simvastatin (SMV) nanoparticles coated with caseinate, to improve solubility and hence bioavailability, and in addition, to modify SMV-release characteristics. This formulation can be utilized for oral or possible depot parenteral applications. Fifteen formulations were prepared by liquid-liquid phas...

In this study, aspirin (AS) and isosorbide 5mononitrate(ISM) sustained bilayer tablets were developed by wet granulation and compression technique, the influence of the contents of PVPP on the dissolution of AS from the tablets was investigated. An orthogonal experiment design was used to optimize ISM sustained release layer. The tablets were tested for their drug content, hardness, thickness, ...

Recent experiments have presented more accurate data on the ΛΛ-binding energies of a few ΛΛhypernuclei. This is important as the ΛΛbond energies (∆BΛΛ) of double-Λ hypernuclei provide a measure of the in-medium strength of the ΛΛ interaction. A mass formula, optimized with the newly available ΛΛ binding energy data, is used to estimate the binding energy and bond energy over a wide range of hyp...