Artificial intelligence in sleep analysis (ARTISANA)--modelling visual processes in sleep classification]

We describe a novel approach to the problem of automated sleep stage recognition. The ARTISANA algorithm mimics the behaviour of a human expert visually scoring sleep stages (Rechtschaffen and Kales classification). It comprises a number of interacting components that imitate the stepwise approach of the human expert, and artificial intelligence components. On the basis of parameters extracted at 1-s intervals from the signal curves, artificial neural networks recognize the incidence of typical patterns, e.g. delta activity or K complexes. This is followed by a rule interpretation stage that identifies the sleep stage with the aid of a neuro-fuzzy system while taking account of the context. Validation studies based on the records of 8 patients with obstructive sleep apnoea have confirmed the potential of this approach. Further features of the system include the transparency of the decision-taking process, and the flexibility of the option for expanding the system to cover new patterns and criteria.     

The adaptive classification of the dynamic spectral patterns in the human EEG]

The classification technique of single spectra based on a matrix of intercorrelation between these spectra and the fixed set of standard spectral patterns (SP) has been put forward. Including in the classification technique a special procedure for automatic adaptation of the standard SP to given EEG records makes it possible to reduce the number of unclassified single spectra to a minimum (6-10%), which we can ignore during comparative analysis of the EEG classification profiles. Using the universal set of standard SP makes it possible to compare the results of classification of different EEG records. The results of the analysis of classification profiles of human multichannel EEG during performance of the memory task on perception of visual images are described in the paper. It has been shown that both the total EEG reorganization associated with the alpha rhythm blockade during eyes opening and less noticeable EEG shifts accompanying changes in the stages of cognitive activity are underlain by a rather differentiated transformations of relative contributions of each type of the SP into the total power spectrum. It has been revealed that a relatively small part (15-20%) of the elementary EEG segments participates in the reorganization of the EEG classification profile.     

EEG-activity patterns in visual information processing: characteristics, variance-analytical deliminiation, discriminance-analytical determination of undispensable variables and scale level

1. In order to determine the variable distributions of 5 activation dependent EEG activity patterns occurring during visual information processing, mean values and standard deviations of the percental quantities of the frequencies 4, 5, ..., 13 Hz, 14 to 20 Hz and 21 to 30 Hz, as well as the mean amplitudes in the frequency bands 3.5 ... 7.4 Hz, 7.5 ... 13.4 Hz and 13.5 to 30 Hz were determined on corresponding to 10 s samples. It could be demonstrated by regression analysis that an interval scale level can be assumed already on the basis of cethe percental quantities in the three last mentioned frequency bands. 2. On the basis of 18 relevant variables, all the adjacent activity patterns could be separated from each other by means of univariate variance analysis at pairwise mean value comparison by at least two variables. 3. After stepwise reduction of dispensable variables in the framework of a linear discriminance analysis an optimal set of variables was determined, comprising the percental quantities of the frequencies 4, 5, 6, 10, 12 Hz, and 14 to 20 Hz, as well as the mean value of the amplitudes in the frequency band 3.5 to 7.4 Hz. In 4 our of 5 elementary discriminance functions, the mean values calculated for each pattern were significantly distinguishable from each other (analysis of variance, Newman-Keuls test). 4. By linear regression analysis it could be shown that the classification system of the EEG activity patterns at visual information processing can be mapped on an interval scale after the reduction of variables, too. Finally, data about the reliability of the scoring procedure are presented.     

Flow limitation, cough, and patterns of aerosol deposition in humans

We studied deposition of radioactive monodisperse 1.5-micron aerosol in humans following inhalation during quiet breathing. Two groups were studied: normal, defined by tidal loops below the maximum expiratory flow-volume (MEFV) envelope [forced expiratory volume at 1 s at percent of forced vital capacity (FEV1%) 62-78]; and flow-limited, with tidal loops superimposed on MEFV relationship (FEV1% 21-57) and flow-limiting segments (FLS) known to exist in central airways. During simultaneous imaging with a gamma camera, fraction of inhaled aerosol deposited in the lung (DF) was determined by right-angle light scattering. With regions of interest defined by an equilibrium image of 133Xe, regional deposition was normalized for area and lung thickness and expressed as a central-to-peripheral (C/P) ratio. Deposition was uniform throughout the lung in normal subjects [C/P 1.02 +/- 0.07 (SD), n = 6]. In flow-limited group, central deposition predominated (C/P 1.98 +/- 0.64, n = 6, P less than 0.05). Tidal volume and inspiratory flow, forces thought to influence deposition during inspiration, were not different between groups. Spontaneous cough occurred in five flow-limited subjects during aerosol inhalation, with further increase in central deposition when compared with quiet breathing (C/P 1.85 +/- 0.60 to 2.69 +/- 0.600, P less than 0.01). During cough, tidal volume (ml) was reduced significantly (576 +/- 151 to 364 +/- 117, P less than 0.01) with no change in inspiratory flow (l/s) (1.37 +/- 0.23 to 1.38 +/- 0.40, P = NS). DF, however, was unaffected by cough (0.34 +/- 0.13 to 0.61 +/- 0.12, P = NS).(ABSTRACT TRUNCATED AT 250 WORDS)     

Variation and classification of human age patterns of mortality: analysis using competing hazards models

The structure of variation in human mortality patterns is explored using a five-parameter competing hazards model and standard multivariate taxonomic procedures. The data consist of 281 national life tables representing a wide range of environmental and cultural regions of the world. A general or average age pattern of mortality was generated for the entire sample using multiple regression procedures. A K mean cluster analysis conducted on the residuals of the regression analysis identified seven distinct models of mortality that differ in characteristic ways from the general pattern. Four of the seven clusters have age patterns of mortality similar to the north, east, south, and west regions of the Coale and Demeny model life tables. The remaining three clusters represent regions of the world and age patterns of mortality that are not represented in the Coale and Demeny model life tables.     

Antibiotic susceptibility patterns as aids in classification and characterization of gram-negative anaerobic bacilli

Patterns of susceptibility of gram-negative anaerobic bacilli to antibiotics have been found to be distinctive and of significant help in classification and identification. Five major groups of gram-negative anaerobic bacilli have been defined on the basis of morphological and biochemical criteria. Antibiotic sensitivity patterns conform to these groupings and provide additional taxonomic criteria. The Bacteroides fragilis group is resistant to penicillin G, whereas the other groups are generally sensitive. B. fragilis strains are relatively sensitive to erythromycin, whereas the Sphaerophorus necrophorus group is resistant. B. melaninogenicus strains, B. oralis, and Fusobacterium are all more sensitive to kanamycin and neomycin than the other two groups. Kanamycin is more active against Fusobacterium strains than neomycin, but less active against all other groups. Colistin or polymyxin B is useful for distinguishing between the resistant B. fragilis and the sensitive S. necrophorus. Antibiotic susceptibility determinations may be more readily performed in clinical laboratories than certain biochemical tests recommended for differentiation of the gram-negative anaerobic bacilli and may serve as helpful adjuncts to morphological and biochemical observations in classifying and characterizing these organisms. The use of standardized procedures for antibiotic susceptibility tests is essential if comparable results are to be obtained in different laboratories.     

Contrast discrimination,non-uniform patterns and change blindness.

Change blindness--our inability to detect large changes in natural scenes when saccades, blinks and other transients interrupt visual input--seems to contradict psychophysical evidence for our exquisite sensitivity to contrast changes. Can the type of effects described as ''change blindness'' be observed with simple, multi-element stimuli, amenable to psychophysical analysis? Such stimuli, composed of five mixed contrast elements, elicited a striking increase in contrast increment thresholds compared to those for an isolated element. Cue presentation prior to the stimulus substantially reduced thresholds, as for change blindness with natural scenes. On one hand, explanations for change blindness based on abstract and sketchy representations in short-term visual memory seem inappropriate for this low-level image property of contrast where there is ample evidence for exquisite performance on memory tasks. On the other hand, the highly increased thresholds for mixed contrast elements, and the decreased thresholds when a cue is present, argue against any simple early attentional or sensory explanation for change blindness. Thus, psychophysical results for very simple patterns cannot straightforwardly predict results even for the slightly more complicated patterns studied here.     

Quantitative description and discrimination of butterfly wing patterns using moment invariant analysis

Studies examining and using pattern variation in insects for identification and characterization of individuals and populations have been limited by the methods available for quantifying wing patterns objectively. In this paper, differences in wing pattern are demonstrated statistically using moment invariant data sets generated automatically from digitized images of the speckled wood butterfly, Pararge aegeria (Linnaeus). Studies with other biological subjects have already shown moment invariants to work well with outline shapes and silhouettes. A pilot study with replicated monochrome photographs of a single butterfly showed the method could detect pattern differences between wing surfaces, even in the presence of simulated wing fading and damage. In a further study of the wings of 228 specimens, multivariate analyses of variance using the moment data reliably detected differences between groups of butterflies according to sex, geographical origin and culture history. Potential applications and future improvements of the moment methodology are considered.     

Variance and discriminatory analyses for the classification of wakefulness-dependent EEG patterns]

1. To describe 8 alertness-dependent EEG activity patterns to be observed during wakefulness with eyes closed, mean values and standard deviations of the frequencies 4, ..., 13, 14 to 17, 18 to 22 and 23 to 40 c/sec, of the percentage activity in the theta, alpha and beta bands as well as of the theta and alpha amplitudes were calculated. 2. On the basis of 18 variables significant differences between 7 activity patterns were ascertained by means of univariate and multivariate analyses of variance. 3. In the course of stepwise reduction of variables within the framework of a linear discriminatory analysis, an optimal set of variables was determined for the separation of the patterns comprising the following variables: mean value and standard deviation of the alpha amplitudes and mean value of the theta amplitudes as well as the percent quantity of the frequencies 3, ..., 7, 10, 14 to 17 and 23 to 40 c/sec. 4. By means of a linear regression analysis it was shown that the EEG scoring system can be reflected on an interval scale. In connection with results on the reliability of the methods used the results were discussed.     

花斑裸鲤年龄鉴定材料的比较与年龄判别

鱼类年龄的准确鉴定是研究鱼类生态学和保护生物学的基础。本文对黄河上游花斑裸鲤(Gymnocypris eckloni)耳石、背鳍条和臀鳞等3种年龄材料的年龄解释一致性以及最佳年龄材料的选择进行了比较和分析,并首次建立了花斑裸鲤低龄个体年龄判别方程。结果表明:花斑裸鲤3种年龄材料上年轮可读性依次是耳石背鳍条臀鳞,最大鉴定年龄分别为25龄、17龄和16龄;对于6龄及以下个体,背鳍条作为年龄鉴定材料更有优势;对7龄及以上个体,耳石效果最佳;同时对6龄及以下个体以全长、体长、体重和空壳重为自变量,采用逐步选择法进行判别分析,最终提取全长和体重建立年龄的分类函数;全部样本正判率和交叉验证正判率显示,该年龄判别模型的正确区分度较高,可用于6龄及以下个体(全长93~259 mm;体重6.25~177.10 g)的年龄判别。     

A method of focused classification, based on the bootstrap 3D variance analysis, and its application to EF-G-dependent translocation

The bootstrap-based method for calculation of the 3D variance in cryo-EM maps reconstructed from sets of their projections was applied to a dataset of functional ribosomal complexes containing the Escherichia coli 70S ribosome, tRNAs, and elongation factor G (EF-G). The variance map revealed regions of high variability in the intersubunit space of the ribosome: in the locations of tRNAs, in the putative location of EF-G, and in the vicinity of the L1 protein. This result indicated heterogeneity of the dataset. A method of focused classification was put forward in order to sort out the projection data into approximately homogenous subsets. The method is based on the identification and localization of a region of high variance that a subsequent classification step can be focused on by the use of a 3D spherical mask. After initial classification, template volumes are created and are subsequently refined using a multireference 3D projection alignment procedure. In the application to the ribosome dataset, the two resulting structures were interpreted as resulting from ribosomal complexes with bound EF-G and an empty A site, or, alternatively, from complexes that had no EF-G bound but had both A and P sites occupied by tRNA. The proposed method of focused classification proved to be a successful tool in the analysis of the heterogeneous cryo-EM dataset. The associated calculation of the correlations within the density map confirmed the conformational variability of the complex, which could be interpreted in terms of the ribosomal elongation cycle.     

Spatial variance of nutrient limitation of periphyton in montane, headwater streams (McLeod River, Alberta, Canada)

There have been few studies that have examined the spatial variance of nutrient limitation over the scale of an entire set of headwater streams. We used nutrient diffusing substrata experiments (control, nitrogen addition, phosphorus addition, and nitrogen+phosphorus addition) to examine how nutrient limitation varied throughout the five creeks that comprise the McLeod River headwaters (Alberta, Canada). We assessed the variance of chlorophyll a accrual at spatial scales within reach, within creek, among creeks and across linear distance within the entire watershed to assess the consistency and scale of nutrient limitation. We analyzed the importance of the spatial scale using several methods. We assessed the coefficient of variation at different scales, the spatial covariance of nitrogen and phosphorus deficiency indices using a spline correlogram, and the variance through traditional analyses of variance methods. Chlorophyll a accrual responded significantly to nutrients in all creeks, though the response varied in magnitude and in the limiting nutrient among reaches and among creeks. Variance in chlorophyll a accrual was due primarily to the factor of creek (R ²=0.40) and secondarily to reach (R ²=0.07). The CV was 31.4% among creeks, 18.4% among reaches, and 17.9% within reaches. The N deficiency index showed a positive correlation at sites located <4 km apart and a negative correlation at sites greater than 6.5 km apart. The P deficiency index showed no discernible spatial correlation. Our results suggest that nutrient limitation varies on small scales and is often driven by local processes.     

A comparison of sleep patterns in natural and mandrax- and tuinal-induced sleep

A within-subject comparison of the effects on the overnight sleep EEG of 1 tablet of Mandrax (containing methaqualone base 250 mg. and diphenhydramine hydrochloride 25 mg.) and 200 mg. Tuinal (equal parts of quinalbarbitone sodium and amylobarbitone sodium) in 14 normal subjects is reported.Mandrax-induced sleep was not significantly different from natural sleep in the duration of light, moderate, deep and REM phases. Tuinal produced a significant reduction in REM sleep (P < 0.01) compared with natural sleep and with Mandrax-induced sleep.     

Eveningness, sleep patterns, daytime functioning, and quality of life in Israeli adolescents

The purpose of the study was to assess the relationships between eveningness, sleep patterns, measures of daytime functioning, i.e., sleepiness, sleep problem behaviors, and depressed mood, and quality of life (QOL) in young Israeli adolescents. A cross-sectional survey was performed in urban and rural middle schools in Northern Israel. Participants were 470 eighth and ninth grade middle school students (14?±?0.8 yrs of age) in the normative school system. Students completed the modified School Sleep Habits Survey (SSHS) and Pediatric Quality of Life Inventory Short Form, assessing six subscales of physical, emotional, social, school performance, and psychosocial functioning, plus an addition generated total score. During weekdays and weekends, evening types went to bed later, their sleep latency was longer, their wake-up time was later, and their sleep duration was shorter than intermediate and morning types. Evening types exhibited more sleep problem behaviors, sleepiness, depressed mood, and lower QOL compared to intermediate and morning types. Based on the regression model, sleepiness, sleep-problem behaviors, and depressed mood were the variables most strongly associated with QOL, followed by morning-evening preference, weekday sleep duration, and weekend sleep latency. This study is the first to assess QOL in normative, healthy adolescents and to demonstrate strong associations between morning-evening preference and QOL. These findings enhance the need to identify young individuals with an evening preference, and to be aware of the characteristics and manifestations of the evening chronotype on daytime and nighttime behaviors in adolescence.     

Multivariate analysis of quantitative chemical and enzymic characterization data in classification of Actinobacillus, Haemophilus and Pasteurella spp

Chemotaxonomic data for strains of Actinobacillus, Haemophilus and Pasteurella spp. were analysed using three multivariate statistical strategies: principal components, partial least squares discriminant, and soft independent modelling of class analogy. The species comprised Actinobacillus actinomycetemcomitans. Haemophilus aphrophilus, H. paraphrophilus, H. influenzae, Pasteurella multocida, P. haemolytica and P. ureae. Strains were characterized by cell sugar and fatty acid composition, lysis kinetics during EDTA and EDTA plus lysozyme treatment, and methylene blue reduction. In total 23 quantitative variables were compiled from chemotaxonomic analyses of 25 strains. A. actinomycetemcomitans and H. aphrophilus formed distinct classes which differed from those of H. paraphrophilus, H. influenzae and Pasteurella spp. All characterization variables, except those describing fatty acid content, contributed significantly to inter-species discrimination.