Recent work suggests an influence of the mean body skin (Tsk) and deep body temperatures (Tb) on coldinduced vasodilatation (CIVD). For example, minimum finger temperature (Tfi,min)was lower, and the maximum finger temperature (Tfi,max) was greater during CIVD when Tb was elevated, and the onset time of the CIVD response was reduced at higher Tsk. Question remain, though, about the influence of...

The indoor human comfort, working efficiency and health are dependent on the control of the quality of air in a heating-ventilation and air-conditioning (HVAC) system. The aim of present paper is to improve this control considering the most important variables – the air temperature, relative humidity and concentration of carbon dioxide by applying fuzzy logic and genetic algorithms (GAs) for co...

The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for every used kernel function. Restricted methods to extract rules from SVMs have been previously published. Their limitations are surpassed with the presented extraction method. The behavior of SVMs is explained by means of ...

Steroid receptor activity can be more quickly estimated by size-exclusion chromatography than by conventional analysis on sucrose gradients, and profiles of receptor activity are better resolved. Here we discuss several factors affecting this form of analysis in clinical laboratories. The composition of the elution buffer influences steroid receptor elution and recovery: high ionic strength, ne...

The conventional procedure for the purification of the high affinity K+ uptake ATPase (KdpABC) from Escherichia coli involves a tedious three-column protocol (final enzyme purity, approximately 90%; activity yield, 6.5% (Siebers, A., and Altendorf, K. (1988) Eur. J. Biochem. 178, 131-140)). We have now developed a highly effective one-column (Fractogel TSK AF-Red) protocol yielding an enzyme pr...

This article discusses a rule-based fuzzy model for the identi cation of nonlinear MISO (multiple input, single output) systems. The dis cussed method of fuzzy modeling consists of two parts: structure modeling, i.e. determing the num ber of rules and input variables involved respec tively, and parameter optimization, i.e. optimizing the location and form of the curves which describe the fuz...

BACKGROUND Psychological features have been related to trunk muscle activation patterns in low back pain (LBP). We hypothesised higher pain-related fear would relate to changes in trunk mechanical properties, such as higher trunk stiffness. OBJECTIVES To evaluate the relationship between trunk mechanical properties and psychological features in people with recurrent LBP. METHODS The relatio...

This article discusses a rule-based fuzzy model for the identiication of nonlinear MISO (multiple input, single output) systems. The diss cussed method of fuzzy modeling consists of two parts: structure modeling, i.e. determing the numm ber of rules and input variables involved respecc tively, and parameter optimization, i.e. optimizing the location and form of the curves which describe the fuz...

We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree. By incorporating the capability of sequence kernel, TSK enriches tree kernel with tree sequence features so that it may provide additional useful patterns for machine learning applications. Two approaches of penalizing the substructures are propos...