Search results for " Classification"

Adjustment disorder as proposed for ICD-11: Dimensionality and symptom differentiation

2014

Although Adjustment Disorder as a diagnostic category is widely used in clinical practice it is critically discussed that it has not been conceptualized as a category with unique symptoms. Hence, the conceptualization of Adjustment Disorder is subject to substantive change in ICD-11 including core symptoms and additional features in a uni-faceted concept. Adjustment Disorder was assessed with a self-rating instrument in a representative sample of the German general population (N=2512). Confirmatory factor analyses (CFA) were applied to test the dimensionality of symptoms according to the new diagnostic concept. Latent class analysis (LCA) was applied to test whether there are distinguishabl…

Formalized classification of European fen vegetation at the alliance level

2017

AimsPhytosociological classification of fen vegetation (Scheuchzerio palustris-Caricetea fuscae class) differs among European countries. Here we propose a unified vegetation classification of European fens at the alliance level, provide unequivocal assignment rules for individual vegetation plots, identify diagnostic species of fen alliances, and map their distribution.LocationEurope, western Siberia and SE Greenland.Methods29 049 vegetation-plot records of fens were selected from databases using a list of specialist fen species. Formal definitions of alliances were created using the presence, absence and abundance of Cocktail-based species groups and indicator species. DCA visualized the s…

The Origin of T Tauri X-ray Emission: New Insights from the Chandra Orion Ultradeep Project

2005

We use the data of the Chandra Orion Ultradeep Project (COUP) to study the nearly 600 X-ray sources that can be reliably identified with optically well characterized T Tauri stars (TTS) in the Orion Nebula Cluster. We detect X-ray emission from more than 97% of the optically visible late-type (spectral types F to M) cluster stars. This proofs that there is no ``X-ray quiet'' population of late-type stars with suppressed magnetic activity. All TTS with known rotation periods lie in the saturated or super-saturated regime of the relation between activity and Rossby numbers seen for main-sequence (MS) stars, but the TTS show a much larger scatter in X-ray activity than seen for the MS stars. S…

Enhanced adaptation of vesicular stomatitis virus in cells infected with vaccinia virus.

2008

Infections involving different viruses (multiple infections) are common in nature and can take place between different strains of the same virus or between different virus species, including DNA and RNA viruses. The influence of multiple infections on viral evolution has been previously studied using different populations of the same virus. Here, we took a step forward by studying the evolution of an RNA virus (vesicular stomatitis virus, VSV) in the presence of a resident DNA virus (vaccinia virus, VV). Cell cultures were infected with a constant amount of VV, and VSV was added at four different post-VV-inoculation times and four different population sizes. The results showed that the pres…

Emotion recognition changes in a confinement situation due to COVID-19

2020

Abstract The confinement situation experienced as a result of COVID-19 will have consequences at a psychological level. These consequences can affect emotion recognition because, due to isolation, interactions and social contacts have been drastically reduced. The aim of this study was to find out if there were differences in facial emotion recognition in two groups of young adults, one confined during COVID-19 and the other unconfined. One hundred and sixty-four young adults were tested twice, the first time unconfined, to obtain the baseline, then the sample was divided into two subgroups so that 84 were evaluated in a confined situation and 80 in an unconfined situation. . Ekman 60 Faces…

Classification based on Iterative Object Symmetry Transform

2004

The paper shows an application of a new operator named the iterated object transform (IOT) for cell classification. The IOT has the ability to grasp the internal structure of a digital object and this feature can be usefully applied to discriminate structured images. This is the case of cells representing chondrocytes in bone tissue, giarda protozoan, and myeloid leukaemia. A tree classifier allows us to discriminate the three classes with a good accuracy.

LUSSAZIONE DISSOCIATA DEL SEMILUNARE E DELLE OSSA DEL CARPO: CASE REPORT

2014

Soil humic acids formation and characteristics in a xeric mollisol reforested with two tree species

2002

Publisher Summary The study discussed in this chapter examines the influence on humic acids (HAs) characteristics of different plant species—Pinus halepensis Miller and Cedrus atlantica (Endl) Carriere—used in the restoration of a Mollisol under xeric conditions. The area studied is in Sicily (Italy), and two stands were compared 40 years after planting. The differences among soil profile developments in the two stands were investigated by chemical and biochemical methods to understand the different levels at which the processes of pedogenesis acted in the study area. The chapter analyzes some chemical and spectroscopic characteristics of HAs, separated from two selected pedons. The results…

Numerical and experimental study of liquid metal stirring by rotating permanent magnets

2018

In this work, we study liquid gallium stirring by rotating permanent magnets. We demonstrate possibility of easily creating different flow patterns by rotating permanent magnets, which can be industrially important for controlling heat and mass transfer processes in the system. Unlike the typical approach of simulating magnet rotation as a transient problem and time-averaging the Lorentz forces, we solve the magnet rotation as a harmonic (frequency domain) problem, which leads to forces equal to time-averaged ones and decreases the simulation time considerably. Numerical results are validated using qualitative flow structure results from the neutron radiography visualization of tracer parti…

Time series clustering with different distance measures to tell Web bots and humans apart

2022

The paper deals with the problem of differentiating Web sessions of bots and human users by observing some characteristics of their traffic at the Web server input. We propose an approach to cluster bots’ and humans’ sessions represented as time series. First, sessions are expressed as sequences of HTTP requests coming to the server at specific timestamps; then, they are pre-preprocessed to form time series of limited length. Time series are clustered and the clustering performance is evaluated in terms of the ability to partition bots and humans into separate clusters. The proposed approach is applied to real server log data and validated with the use of different time series distance meas…