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With the advancement of technology, time series data are automatically collected without human intervention. As the data collection process becomes effortless, the next change encountered is to identify the best method to forecast time series data with high accuracies. In this regard, hybrid approaches have gained much attention where the strengths of two approaches can be combined to lessen the weaknesses of each individual approach. When exploring the features of time series data, some depict repetitive patterns and also data can be observed at several levels. The repeating curves can be considered as the higher level, whereas each individual observation can be considered as the lower level. Thus, in order to handle the data in a more effective way, the series can be handled at two levels by giving prominence to the features of each level separately. This paper proposes a novel algorithm named two level neuro-functional forecaster, which is capable of handling data at two levels, hybridizing a statistical approach with an artificial intelligence approach, to gain high accuracy levels. In addition, as this approach handles data at two levels, data sparsity at a particular level can be accommodated at the other level. To apply this algorithm to a real world dataset, electricity demand data in Sri Lanka was considered where the series consisted of daily load curves with repetitive pattern across the days. The proposed hybrid algorithm, outperforms the two approaches when individually used, with a MAPE of 3.324% for a year. [ABSTRACT FROM AUTHOR]

This study aimed to assess whether inclusion of chicory or lupine (prebiotics) in the diet of pre-slaughter pigs for just 1 or 2 weeks could change the composition of their intestinal microbiota, stimulate the growth of bifidobacteria and help to lower the amount of thermoplilic Campylobacter spp. (mainly Campylobacter jejuni and Campylobacter coli), which are a major cause of food-borne infections in humans. A total of 48 pigs that had an initial live weight of 90 kg were fed with either a lupine (organic concentrate with 25% blue lupine seeds), chicory (organic concentrate with 10% dried chicory roots) or control (100% organic concentrate) diet for 1 week (24 pigs) or 2 weeks (24 pigs) before slaughter. The Campylobacter spp. level in rectal faecal samples after 0, 1 and 2 weeks of feeding and in the luminal content from ileum, caecum and colon at slaughter was determined by direct plating on modified charcoal-cefoperazone-deoxycholate agar plates. DNA extracted from the luminal content of distal ileum and caecum was used for terminal restriction fragment length polymorphism (T-RFLP) analysis of the composition of intestinal microbiota and for measuring the amount of bifidobacterial and total bacterial DNA by quantitative real-time PCR (qPCR). Campylobacter spp. were excreted by all pigs and present in the luminal content from distal ileum to midway colon with particularly high numbers in the caecum, but the excretion was reduced by 10-fold in pigs fed lupines for 1 week as compared with control- and chicory-fed pigs (mean log10 2.9 v. 4.1 CFU/g; P < 0.05). The qPCR analysis showed that feeding with lupines resulted in higher levels of bifidobacteria in caecum as compared with the other diets (P < 0.05). T-RFLP analysis showed that four of the most abundant bacteria with terminal restriction fragment values >5% relative to the intensity of total abundance differed between the feed treatments (P < 0.05). Therefore, this study showed that even a short-term alternative feeding strategy with prebiotics in the diet of pre-slaughter pigs elicited changes in the composition of the intestinal microbiota, where lupine increased the level of bifidobacteria in caecum and reduced the Campylobacter spp. excretion level after 1 week. [ABSTRACT FROM AUTHOR]

The Genebridge 4 radiation hybrid panel (Gb4) consists of 93 radiation hybrid clones, 1 human and 1 hamster recipient cell clone. Two independent PCR amplifications were performed on the panel for each gene assignment. PCR amplification conditions were: 25 ng DNA, 15 pmol each primer. PCR amplification conditions were previously described. The products were analyzed in a 1.5% agarose gel. Specific bands were obtained for all PCR amplifications with human DNA under the conditions described and no product was seen for any of the amplicons performed on the hamster DNA.

The sand rat (Psammomys obesus) is an animal model of nutritionally induced diabetes. We report here that several protein kinase C (PKC) isoforms (alpha, epsilon, and zeta, representing all three subclasses of PKC) are overexpressed in the skeletal muscle of diabetic animals of this species. This is most prominent for the epsilon isotype of PKC. Interestingly, increased expression of PKCepsilon could already be detected in normoinsulinemic, normoglycemic (prediabetic) animals of the diabetes-prone (DP) line when compared with a diabetes-resistant (DR) line. In addition, plasma membrane (PM)-associated fractions of PKCalpha and PKCepsilon were significantly increased in skeletal muscle of diabetic animals, suggesting chronic activation of these PKC isotypes in the diabetic state. The increased PM association of these PKC isotypes revealed a significant correlation with the diacylglycerol content in the muscle samples. Altered expression/activity of PKCepsilon, in particular, may thus contribute to the development of diabetes in these animals; along with other PKC isotypes, it may be involved in the progression of the disease. This may possibly occur through inhibition of insulin receptor (IR) tyrosine kinase activity mediated by serine/threonine phosphorylation of the IR or insulin receptor substrate 1 (IRS-1). However, overexpression of PKCepsilon also mediated down-regulation of IR numbers in a cell culture model (HEK293), resulting in attenuation of insulin downstream signaling (reduced protein kinase B [PKB]/Akt activity). In accordance with this, we detected decreased 125I-labeled insulin binding, probably reflecting a downregulation of IR numbers, in skeletal muscle of Psammomys animals from the DP line. The number of IRs was inversely correlated to both the expression and PM-associated levels of PKCepsilon. These data suggest that overexpression of PKCepsilon may be causally related to the development of insulin resistance in these animals, possibly by increasing the degradation of IRs. [ABSTRACT FROM AUTHOR]