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ACHIEVEMENT AND INTEGRATION OF STUDENTS WITH AND WITHOUT SPECIAL EDUCATIONAL NEEDS (SEN) IN THE FIFTH GRADE
Markus GEBHARDT,Susanne SCHWAB,Mathias KRAMMER,Klicpera Barbara GASTEIGER
Journal of Special Education and Rehabilitation , 2012,
Abstract: In Styria 77.3% of all students with special needs are educated in integrated classrooms. Currently, it is not known much either about the school performance nor the active class participation of these students. This study examined 230 fifth grade students – 43 with and 187 students without special educational needs (SEN). Moreover, it is important to acknowledge that the available data for this study represents the first wave of larger longitudinal study. The school performance of the students with SEN ranged one standard deviation below the level of the students without SEN. All students felt emotionally well integrated in the school settings, but the differences in the degree of social integration were evident. In fact, the students with SEN mentioned that they got along well with their classmates less frequently than the students without SEN.
Does systematic reading instruction impede prediction of reading a shallow orthography?
ALFRED SCHABMANN,BARBARA MARIA SCHMIDT,CHRISTIAN KLICPERA,BARBARA GASTEIGER-KLICPERA
Psychology Science Quarterly , 2009,
Abstract: Different methods of reading instructions have been the subject of controversy. This study examined the influence of systematic phonics vs. non-systematic phonics methods of instruction on the prediction of reading. 443 kindergarten children were tested on phonological awareness, naming speed and visual word matching using the Bielefelder Screening (BISC). Children were retested in grades one and four. Results showed that although the prognostic validity of kindergarten measures was generally low, it was considerably higher for grade one children in classes with non-systematic phonics instruction. Children who received systematic phonics instruction scored significantly higher on measures of phonological decoding as compared to their peers who received less systematic instruction. Implications for the prediction of reading and early screenings are discussed.
Analysis of fertility data in A.I. populations
F Gasteiger, C Specker
Genetics Selection Evolution , 1980, DOI: 10.1186/1297-9686-12-4-408c
Abstract:
Analysis of fertility data in A.I. populations
Gasteiger F,Specker C
Genetics Selection Evolution , 1980,
Abstract:
Identification of arginine- and lysine-methylation in the proteome of Saccharomyces cerevisiae and its functional implications
Chi Pang, Elisabeth Gasteiger, Marc R Wilkins
BMC Genomics , 2010, DOI: 10.1186/1471-2164-11-92
Abstract: A total of 83 high-confidence lysine and arginine methylation sites were found in 66 proteins. Motif analysis revealed many methylated sites were associated with MK, RGG/RXG/RGX or WXXXR motifs. Functionally, methylated proteins were significantly enriched for protein translation, ribosomal biogenesis and assembly and organellar organisation and were predominantly found in the cytoplasm and ribosome. Intriguingly, methylated proteins were seen to have significantly longer half-life than proteins for which no methylation was found. Some 43% of methylated lysine sites were predicted to be amenable to ubiquitination, suggesting methyl-lysine might block the action of ubiquitin ligase.This study suggests protein methylation to be quite widespread, albeit associated with specific functions. Large-scale tandem mass spectroscopy analyses will help to further confirm the modifications reported here.The methylation of proteins is of increasing biological interest. It is predominantly found on lysine and arginine residues, but has also been found on histidine, glutamic acid and on the carboxyl groups of proteins (reviewed in Grillo and Colombatto 2005) [1]. Methylation of lysine involves the addition of one to three methyl groups on the amino acid's ε-amine group, to form mono-, di- or tri-methyllysine. Its function is best understood in histones. Methylation on the tails of histone proteins, in conjunction with acetylation and phosphorylation, controls their interaction with other proteins, affects chromatin compaction and the up- or down-regulation of gene expression [2]. For S. cerevisiae, lysine methylation is found in histone H3 and histone H4 [3]. Tri-methylation at H3K4 and H3K36 is positively correlated with gene activity [4], while H3K79 are involved in gene silencing [5,6]. Histone H3K79 methylation is evolutionarily conserved and is involved in several pathways, including Sir protein-mediated heterochromatic gene silencing [7]. meiotic checkpoint control [8] and in
Praxisleitlinien Ergometrie
Wonisch M,Berent R,Klicpera M,Laimer H
Journal für Kardiologie , 2008,
Abstract: Die Ergometrie stellt ein Standardverfahren in der Kardiologie dar. Dies hat sich auch durch neue diagnostische Verfahren nicht wesentlich ge ndert. Ziel dieser Leitlinien ist es, eine praxisrelevante übersicht über die Ergometrie zu geben. Neben den physiologischen und leistungsdiagnostischen Grundlagen wird eine übersicht über Vorraussetzungen, Indikationen, Kontraindikationen und Abbruchkriterien gegeben. Auch werden Empfehlungen für die Durchführung, Bewertung der erhobenen Parameter und verschiedene Einflussgr en angeführt.
Volcanic ash from Iceland over Munich: mass concentration retrieved from ground-based remote sensing measurements
J. Gasteiger, S. Gro , V. Freudenthaler,M. Wiegner
Atmospheric Chemistry and Physics (ACP) & Discussions (ACPD) , 2011,
Abstract: Volcanic ash plumes, emitted by the Eyjafjallaj kull volcano (Iceland) in spring 2010, were observed by the lidar systems MULIS and POLIS in Maisach (near Munich, Germany), and by a CIMEL Sun photometer and a JenOptik ceilometer in Munich. We retrieve mass concentrations of volcanic ash from the lidar measurements; spectral optical properties, i.e. extinction coefficients, backscatter coefficients, and linear depolarization ratios, are used as input for an inversion. The inversion algorithm searches for model aerosol ensembles with optical properties that agree with the measured values within their uncertainty ranges. The non-sphericity of ash particles is considered by assuming spheroids. Optical particle properties are calculated using the T-matrix method supplemented by the geometric optics approach. The lidar inversion is applied to observations of the pure volcanic ash plume in the morning of 17 April 2010. We find 1.45 g m 2 for the ratio between the mass concentration and the extinction coefficient at λ = 532 nm, assuming an ash density of 2.6 g cm 3. The uncertainty range for this ratio is from 0.87 g m 2 to 2.32 g m 2. At the peak of the ash concentration over Maisach the extinction coefficient at λ = 532 nm was 0.75 km 1 (1-h-average), which corresponds to a maximum mass concentration of 1.1 mg m 3 (0.65 to 1.8 mg m 3). Model calculations show that particle backscatter at our lidar wavelengths (λ ≤ 1064 nm), and thus the lidar retrieval, is hardly sensitive to large particles (r 3 μm); large particles, however, may contain significant amounts of mass. Therefore, as an independent cross check of the lidar retrieval and to investigate the presence of large particles in more detail, we model ratios of sky radiances in the aureole of the Sun and compare them to measurements of the CIMEL. These ratios are sensitive to particles up to r ≈ 10 μm. This approach confirms the mass concentrations from the lidar retrieval. We conclude that synergistic utilization of high quality lidar and Sun photometer data, in combination with realistic aerosol models, is recommended for improving ash mass concentration retrievals.
Uncovering metabolic pathways relevant to phenotypic traits of microbial genomes
Gabi Kastenmüller, Maria Schenk, Johann Gasteiger, Hans-Werner Mewes
Genome Biology , 2009, DOI: 10.1186/gb-2009-10-3-r28
Abstract: Understanding complex phenotypic phenomena at the molecular level is a major goal in the post-genomic era. In particular, disease-related phenotypes of microorganisms are of interest, as a clear understanding of the underlying molecular processes can help to develop new drug/target combinations. Besides the phenotypes that directly cause particular diseases, another type of association, health-related phenotypes - where microorganisms living in a particular habitat (such as the human oral cavity or gut) affect human health - attracts more and more interest in this context [1-6].In previous studies it has been shown that comparative genome analysis is well suited to assess interesting gene-phenotype associations for several phenotypic traits, such as hyperthermophily [7,8], flagellar motility [8-11], Gram-negativity [10-12], oxygen respiration [10,11], endospore formation [10,11], intracellularity [10] and for a variety of phenotypes extracted from the literature [13]. Except for the methods described by Slonim et al. [10] and Tamura and D'haeseleer [11], these methods do not provide any information on the biochemical context of the identified genes. Slonim et al. [10] clustered the genes associated with a phenotype and demonstrated that many of these clusters (gene modules) correspond to known metabolic or signaling pathways. Tamura and D'haeseleer [11] formed association networks of COGs (the National Center for Biotechnology Information's Clusters of Orthologous Groups of proteins [14]) based on multiple-to-one associations of COGs and phenotypes. These networks can be considered as functional modules.In analogy to the concept of phylogenetic profiles introduced by Pellegrini et al. [15], the approaches mentioned above are based on the assumption that genomes that share a phenotypic property also share a set of orthologous genes. This implies that this method will miss associations with pathways if genes that catalyze the same sort of processes are not homologous,
Cockayne Syndrome: Varied Requirement of Transcription-Coupled Nucleotide Excision Repair for the Removal of Three Structurally Different Adducts from Transcribed DNA
Nataliya Kitsera, Karola Gasteiger, Bork Lühnsdorf, Julia Allgayer, Bernd Epe, Thomas Carell, Andriy Khobta
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0094405
Abstract: Hereditary defects in the transcription-coupled nucleotide excision repair (TC-NER) pathway of damaged DNA cause severe neurodegenerative disease Cockayne syndrome (CS), however the origin and chemical nature of the underlying DNA damage had remained unknown. To find out, to which degree the structural properties of DNA lesions determine the extent of transcription arrest in human CS cells, we performed quantitative host cell reactivation analyses of expression vectors containing various synthetic adducts. We found that a single 3-(deoxyguanosin-N2-yl)-2-acetylaminofluorene adduct (dG(N2)-AAF) constitutes an unsurmountable obstacle to transcription in both CS-A and CS-B cells and is removed exclusively by the CSA- and CSB-dependent pathway. In contrast, contribution of the CS proteins to the removal of two other transcription-blocking DNA lesions – N-(deoxyguanosin-8-yl)-2-acetylaminofluor?ene(dG(C8)-AAF) and cyclobutane thymine-thymine (TT) dimer – is only minor (TT dimer) or none (dG(C8)-AAF). The unique properties of dG(N2)-AAF identify this adduct as a prototype for a new class of DNA lesions that escape the alternative global genome repair and could be critical for the CS pathogenesis.
Visual Exploration of Simulated and Measured Blood Flow
Anna Vilanova,Bernhard Preim,Roy van Pelt,Rocco Gasteiger,Mathias Neugebauer,Thomas Wischgoll
Computer Science , 2012,
Abstract: Morphology of cardiovascular tissue is influenced by the unsteady behavior of the blood flow and vice versa. Therefore, the pathogenesis of several cardiovascular diseases is directly affected by the blood-flow dynamics. Understanding flow behavior is of vital importance to understand the cardiovascular system and potentially harbors a considerable value for both diagnosis and risk assessment. The analysis of hemodynamic characteristics involves qualitative and quantitative inspection of the blood-flow field. Visualization plays an important role in the qualitative exploration, as well as the definition of relevant quantitative measures and its validation. There are two main approaches to obtain information about the blood flow: simulation by computational fluid dynamics, and in-vivo measurements. Although research on blood flow simulation has been performed for decades, many open problems remain concerning accuracy and patient-specific solutions. Possibilities for real measurement of blood flow have recently increased considerably by new developments in magnetic resonance imaging which enable the acquisition of 3D quantitative measurements of blood-flow velocity fields. This chapter presents the visualization challenges for both simulation and real measurements of unsteady blood-flow fields.
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