Charles University in Prague

About: Charles University in Prague is a education organization based out in Prague, Czechia. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 32392 authors who have published 74435 publications receiving 1804208 citations.

Intensive Chemotherapy for Childhood Acute Lymphoblastic Leukemia: Results of the Randomized Intercontinental Trial ALL IC-BFM 2002

Abstract: Purpose From 2002 to 2007, the International Berlin-Frankfurt-Munster Study Group conducted a prospective randomized clinical trial (ALL IC-BFM 2002) for the management of childhood acute lymphoblastic leukemia (ALL) in 15 countries on three continents. The aim of this trial was to explore the impact of differential delayed intensification (DI) on outcome in all risk groups. Patients and Methods For this trial, 5,060 eligible patients were divided into three risk groups according to age, WBC, early treatment response, and unfavorable genetic aberrations. DI was randomized as follows: standard risk (SR), two 4-week intensive elements (protocol III) versus one 7-week protocol II; intermediate risk (IR), protocol III × 3 versus protocol II × 1; high risk (HR), protocol III × 3 versus either protocol II × 2 (Associazione Italiana Ematologia Oncologia Pediatrica [AIEOP] option), or 3 HR blocks plus single protocol II (Berlin-Frankfurt-Munster [BFM] option). Results At 5 years, the probabilities of event-free s...

Increased risk of non-insulin dependent diabetes mellitus, arterial hypertension and coronary artery disease in perimenopausal women with a history of the polycystic ovary syndrome

Abstract: The aim of the study was to determine the prevalence of non-insulin dependent diabetes mellitus (NIDDM), arterial hypertension, coronary artery disease and the risk factors for these diseases in perimenopausal women with a history of polycystic ovary syndrome (PCOS) treatment A group of 28 women was selected from a large group of patients who had undergone wedge ovarian resection A total of 752 controls was selected by age (45-59 years) from a random female population sample There was no difference between the two groups in body mass index, waist circumference or waist-hip ratio Both groups were found to have identical family histories of NIDDM, hypertension, and coronary artery disease and identical smoking habits We did not find a difference between the mean concentrations of lipids and fasting glucose The two groups did not differ in the proportions of women with elevated lipid concentrations The prevalence of NIDDM and coronary artery disease was significantly higher in PCOS women In conclusion, women in the general population have the same level of risk factors at perimenopausal age as PCOS women Patients with markedly expressed clinical symptoms of PCOS made up a subgroup in the general population at high risk for developing NIDDM and coronary artery disease

SOFA 2.0: Balancing Advanced Features in a Hierarchical Component Model

Abstract: Component-based software engineering is a powerful paradigm for building large applications. However, our experience with building application of components is that the existing advanced component models (such as those offering component nesting, behavior specification and checking, dynamic reconfiguration to some extent, etc.) are subject to a lot of limitations and issues which prevent them from being accepted more widely (by industry in particular). We claim that these issues are specifically related to (a) the lack of support for dynamic reconfigurations of hierarchical architectures, (b) poor support for modeling and extendibility of the control part of a component, and (c) the lack of support for different communication styles applied in inter-component communication. In this paper, we show how these problems can be addressed and present an advanced component system SOFA 2.0 as a proof of the concept. This system is based on its predecessor SOFA, but it incorporates a number of enhancements and improvements.

Measurement and QCD analysis of the diffractive deep-inelastic scattering cross-section at HERA

Abstract: A detailed analysis is presented of the diffractive deep-inelastic scattering process $ep\to eXY$, where $Y$ is a proton or a low mass proton excitation carrying a fraction $1 - \xpom > 0.95$ of the incident proton longitudinal momentum and the squared four-momentum transfer at the proton vertex satisfies $|t|<1 {\rm GeV^2}$. Using data taken by the H1 experiment, the cross section is measured for photon virtualities in the range $3.5 \leq Q^2 \leq 1600 \rm GeV^2$, triple differentially in $\xpom$, $Q^2$ and $\beta = x / \xpom$, where $x$ is the Bjorken scaling variable. At low $\xpom$, the data are consistent with a factorisable $\xpom$ dependence, which can be described by the exchange of an effective pomeron trajectory with intercept $\alphapom(0)= 1.118 \pm 0.008 {\rm (exp.)} ^{+0.029}_{-0.010} {\rm (model)}$. Diffractive parton distribution functions and their uncertainties are determined from a next-to-leading order DGLAP QCD analysis of the $Q^2$ and $\beta$ dependences of the cross section. The resulting gluon distribution carries an integrated fraction of around 70% of the exchanged momentum in the $Q^2$ range studied. Total and differential cross sections are also measured for the diffractive charged current process $e^+ p \to \bar{ u}_e XY$ and are found to be well described by predictions based on the diffractive parton distributions. The ratio of the diffractive to the inclusive neutral current $ep$ cross sections is studied. Over most of the kinematic range, this ratio shows no significant dependence on $Q^2$ at fixed $\xpom$ and $x$ or on $x$ at fixed $Q^2$ and $\beta$.

Preferred Interpersonal Distances: A Global Comparison

Abstract: Human spatial behavior has been the focus of hundreds of previous research studies. However, the conclusions and generalizability of previous studies on interpersonal distance preferences were limited by some important methodological and sampling issues. The objective of the present study was to compare preferred interpersonal distances across the world and to overcome the problems observed in previous studies. We present an extensive analysis of interpersonal distances over a large data set (N = 8,943 participants from 42 countries). We attempted to relate the preferred social, personal, and intimate distances observed in each country to a set of individual characteristics of the participants, and some attributes of their cultures. Our study indicates that individual characteristics (age and gender) influence interpersonal space preferences and that some variation in results can be explained by temperature in a given region. We also present objective values of preferred interpersonal distances in different regions, which might be used as a reference data point in future studies.