Classification of time series by shapelet transformation

Time-series classification (TSC) problems present a specific challenge for classification algorithms: how to measure similarity between series. A shapelet is a time-series subsequence that allows for TSC based on local, phase-independent similarity in shape. Shapelet-based classification uses the similarity between a shapelet and a series as a discriminatory feature. One benefit of the shapelet approach is that shapelets are comprehensible, and can offer insight into the problem domain. The original shapelet-based classifier embeds the shapelet-discovery algorithm in a decision tree, and uses information gain to assess the quality of candidates, finding a new shapelet at each node of the tree through an enumerative search. Subsequent research has focused mainly on techniques to speed up the search. We examine how best to use the shapelet primitive to construct classifiers. We propose a single-scan shapelet algorithm that finds the best $k$ shapelets, which are used to produce a transformed dataset, where each of the $k$ features represent the distance between a time series and a shapelet. The primary advantages over the embedded approach are that the transformed data can be used in conjunction with any classifier, and that there is no recursive search for shapelets. We demonstrate that the transformed data, in conjunction with more complex classifiers, gives greater accuracy than the embedded shapelet tree. We also evaluate three similarity measures that produce equivalent results to information gain in less time. Finally, we show that by conducting post-transform clustering of shapelets, we can enhance the interpretability of the transformed data. We conduct our experiments on 29 datasets: 17 from the UCR repository, and 12 we provide ourselves.     

Extreme eye position and Hering's law of equal innervation.

Tested E. Hering's (1968 [1977]) claim that extreme horizontal eye position varies as a function of viewing distance. This relationship between version and vergence was measured in 5 university students (aged 19–28 yrs), using both subjective and objective techniques. Results suggest that the extreme eye position difference observed by Hering may have been a function of eye elevation, not distance. With eye elevation held constant, no consistent difference in extreme eye position as a function of distance was observed. Differences in extreme eye position were observed when eye elevation covaried with distance and also when eye elevation varied within one distance. (French abstract) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Severity of airflow limitation is associated with severity of airway inflammation in smokers

To investigate the relationship between airflow limitation and airway inflammation in smokers, we examined paraffin-embedded bronchial biopsies obtained from 30 smokers: 10 with severe airflow limitation, eight with mild/moderate airflow limitation, and 12 control smokers with normal lung function. Histochemical and immunohistochemical methods were performed to assess the number of inflammatory cells in the subepithelium and the expression of CC chemokines macrophage inflammatory protein (MIP)-1alpha and -1beta in the bronchial mucosa. Compared with control smokers, smokers with severe airflow limitation had an increased number of neutrophils (p < 0.02), macrophages (p < 0.03), and NK lymphocytes (p < 0.03) in the subepithelium, and an increased number of MIP-1alpha+ epithelial cells (p < 0.02). When all smokers were considered together, the value of FEV1 was inversely correlated with the number of neutrophils (r = -0.59, p < 0.002), macrophages (r = -047, p < 0. 012), NK-lymphocytes (r = -0.51, p < 0.006) in the subepithelium, and with the number of MIP-1alpha+ epithelial cells (r = -0.61, p < 0.003). We conclude that in smokers the severity of airflow limitation is correlated with the severity of airway inflammation and that severe airflow limitation is associated with an increased number of neutrophils, macrophages, NK lymphocytes, and MIP-1alpha+ cells in the bronchial mucosa.     

The effect of zinc sulphate and of bicitropeptide on tetracycline absorption

The interaction between tetracyclines and di- and trivalent ions such as are contained in aluminium, magnesium, calcium, iron and zinc-containing salts or complexes or antacids is well documented. The potential for interaction between tetracyclines and zinc and bismuth salts is often not realised, but is emphasised by the findings reported here. The absorption of 250 mg phosphate-potentiated tetracycline hydrochloride was reduced by 75% when administered concurrently with 220 mg zinc sulphate. The absorption of 250 mg phosphate-potentiated tetracycline hydrochloride was reduced by 50% when administered concurrently with 10 ml bicitropeptide, a bismuth-protein complex. Tetracyclines should thus not be administered concurrently with zinc salts or bicitropeptide.     

Sound stimulation increases the cerebral glucose:oxygen quotient in the fetal sheep

We sought to determine the cerebral metabolic fate of glucose during sound stimulation in near-term fetal sheep. Blood oxygen content was significantly decreased by 6-7% during sound stimulation. The cerebral glucose:oxygen quotient increased from 0.88 +/- 0.08 to 1.13 +/- 0.12 (mean +/- S.E.M., P < 0.01). This is consistent with the phenomenon of stimulated glycolysis which has been shown to increase brain lactate concentration in other models.     

Stress and coping among African American and Hispanic parents of deaf children

Phase-contrast microscopy coupled with image analysis has been used to study the germination of single spores of Clostridium botulinum and to investigate the variation of germination lag of individual spores in a population (biovariability). The experiment was repeated at five different temperatures between 20 degrees C and 37 degrees C to look at the effect of temperature on the biovaribility of the spore germination. Data analysis shows that the germination lag distribution is skewed, with a tail, and that its shape is affected by the temperature. The origin of this biovariability is not exactly known, but could be due to a distribution of characteristics (e.g. permeabilities) or molecules (e.g. lytic enzymes) in the spore population. The method developed in this study will help us to describe and better understand the kinetics of spore germination and how this is influence by different environmental factors such as temperature and other factors that influence germination.