When parasites invade paired structures of their host non-randomly, the resulting asymmetry may have both pathological and ecological significance. To facilitate the detection and visualisation of asymmetric infections we have developed a free software tool, Analysis of Symmetry of Parasitic Infections (ASPI). This tool has been implemented as an R package (https://cran.r-project.org/package=aspi) and a web application (https://wayland.shinyapps.io/aspi). ASPI can detect both consistent bias towards one side, and inconsistent bias in which the left side is favoured in some hosts and the right in others. Application of ASPI is demonstrated using previously unpublished data on the distribution of metacercariae of species of Diplostomum von Nordmann, 1832 in the eyes of ruffe Gymnocephalus cernua (Linnaeus). Invasion of the lenses appeared to be random, with the proportion of metacercariae in the left and right lenses showing the pattern expected by chance. However, analysis of counts of metacercariae from the humors, choroid and retina revealed asymmetry between eyes in 38% of host fish., Matthew T. Wayland, James C. Chubb., and Obsahuje bibliografii
We consider a chaotic system with a double-scroll attractor proposed by Elwakil, composing with a second-order system, which has low-dimensional multiple invariant subspaces and multi-level on-off intermittency. This type of composite system always includes a skew-product structure and some invariant subspaces, which are associated with different levels of laminar phase. In order for the level of laminar phase be adjustable, we adopt a nonlinear function with saturation characteristic to tune the range of a certain state variable so that the number and position of the laminar phase level can be arbitrarily controlled. We find that there exist many interesting statistical characteristics in this complex system, such as the probability distribution of the laminar lengths with -3/2 exponent in the power law and random jumping of the system trajectories.
Článek prezentuje archeobotanické nálezy kultury pražského typu z území mezi řekami Dněprem a Dněstrem na Ukrajině. Nálezy ze čtyř lokalit (Velikaja Bugajevka, Kodyn I, Kodyn II, Luka Kavetčinskaja) byly analyzovány autorem, materiál z dalších dvou nalezišť (Raškov III and Tětěrevka I) zpracovala G. A. Paškevič. Statisticky hodnotitelné jsou nálezy jen ze čtyř lokalit; údaje z Bugajevky jen zajímavým způsobem dokreslují rituální praktiky v zacházení s obilovinami. Ze statistických šetření byly rovněž vynechány podsýpky prosa na dnech nádob, protože při tomto použití zřejmě šlo o záměrný výběr plodiny, nikoliv náhodný výskyt. Význam jednotlivých druhů obilovin je posuzován podle přepočtu na relativní hmotnost obilek. Z tohoto hlediska byl nejvýznamnější obilovinou ječmen, následovaný žitem a nahými pšenicemi; méně je zastoupena přenice dvouzrnka. Podíl prosa v hmotnostním indexu je stabilně desetina až šestina, velmi malá jsou zpravidla též množství ovsa. Shluková analýza potvrdila velkou podobnost skladby plodin mezi lokalitami. Zastoupení plevelů dokládá výsev jaří i ozimů. and Archaeobotanical data relating to the Prague-type culture from territories ranging from the Dnieper valley to that of the Dniester are introduced. Four sites were investigated by the author (Velikaya Bugayevka, Kodyn I, Kodyn II, Luka-Kavetchinskaya); materials from the sites Rashkov III and Teterevka I analysed by G. A. Pashkevich were also used for the investigation. Materials from Velikaya Bugayevka are only of interest for evaluation of the world-view of medieval Slavs and they are not used for statistical analysis. For the latter materials have been used from four sites. The bases of vessels with imprints of millet are also not used for statistical analysis, because grains of millet did not find their way into pottery vessels by chance. Analysis of grain production is carried out after recalculation of data relating to indices of mass: in first place is barley; then there follow rye and naked wheat varieties; the least stable indices are those for emmer wheat; the index for millet is between 1/10 and 1/6; the indices for oats are stable at a low level. Cluster analysis showed that there is a fairly high level of similarity with between the sites (ca. 90 %). The presence of weeds can testify to the use of old-arable fields and the presence of plants with different cycles would point to the use of both spring and winter sewing.
Car manufacturers define proprietary protocols to be used inside their vehicular networks, which are kept an industrial secret, therefore impeding independent researchers from extracting information from these networks. This article describes a statistical and a neural network approach that allows reverse engineering proprietary controller area network (CAN)-protocols assuming they were designed using the data base CAN (DBC) file format. The proposed algorithms are tested with CAN traces taken from a real car. We show that our approaches can correctly reverse engineer CAN messages in an automated manner.
Alzheimer's Disease (AD) is the most frequent form of degenerative dementia and its early diagnosis is essential for effective treatment. Functional imaging modalities including Single Photon Emission Computed Tomography (SPECT) are often used with such an aim. However, conventional evaluation of SPECT images relies on manual reorientation and visual evaluation of tomographic slices which is time consuming, subjective and therefore prone to error. Our aim is to show an automatic Computer-Aided Diagnosis (CAD) system for improving the early detection of the AD. For this purpose, affine invariant descriptors of 3D SPECT image can be useful. The method consists of four steps: evaluation of invariant descriptors obtained using spherical harmonic analysis, statistical testing of their significance, application of regularized binary index models, and model verification via leave-one-out cross-validation scheme. The second approach is based on Support Vector Machine (SVM) classifier and visualization with use of self-organizing maps. Our approaches were tested on SPECT data from 11 adult patients with definite Alzheimer's disease and 10 adult patients with Amyotrophic Lateral Sclerosis (ALS) who were used as controls. A significant difference between SPECT spherical cuts of AD group and ALS group was both visually and numerically evaluated.
Data on divorces are gathered by the Czech Statistical Office and thus widely accessible and well known, but much less information is available about the stability of unmarried cohabitations. This paper focuses on the differences between marriage and unmarried cohabitations in terms of their stability. The authors study the impact of various factors on the stability of marriages and unmarried cohabitations taking into account the different socio -demographic indicators. To explain this phenomenon they use various theoretical approaches emphasizing different factors of partnership instability (from socializing factors to premarital cohabitation, values, education and gender, to factors based on the theory of rational choice). The analysis identified factors that operate in the same manner within both marriages and unmarried cohabitations (e.g. children in the partnership, experience with the previous partnership break-ups) as well as factors that play a different role in the stability of marriages and unmarried cohabitations (e.g. education, duration of partnership, generation). The paper is based on quantitative data from the survey ‘Life-course 2010’, which included 4010 respondents. The authors used the event history approach in their analysis which enabled them to track the dependences of the variables in time., Marta Vohlídalová, Hana Maříková., 1 graf, 1 tabulka, Poznámky na str. 14-15 (14), Biografické poznámky o autorkách článku na str. 15, Obsahuje bibliografii, and Resumé o klíčová slova anglicky na str. 3
The catologues of visual and eclipsing binaries have been analyzed by means of a mulivariate statistical method, with the purpose of putting into evidence mutual relations among the observed quantities as well as clustering properties in the mulri-dimensional space. Preliminary results of the analysis show several interesting feataures, and a physical interpretation can be attempted. Nevertheless, observational selection effects play an important role. The way back to the understanding of formation and evolutionary properties is extremely difficult, and unbiased conclusions about fundamental parameters as the initial period and mass ratio distributions cannot be obtained.