Sports and Rehabilitation Center

Diplomová práce zpracovává projektovou dokumentaci k objektu Sportovně rehabilitačního střediska v Brně-Bystrc. Objekt je čtyřpodlažní a částečně podsklepený. V 1S se nachází bazén se saunou, tělocvična a fitness spolu s potřebným zázemím (šatny, toalety, sprchy) pro všechny nabízené aktivity. V 1NP se nachází vstup do objektu, recepce pro ubytování, restaurace a kuchyně pro restauraci. 2NP je určeno pro rehabilitační ordinace. V 1 a 2NP jsou navrženy hygienické prostory pro návštěvníky restaurace a pacienty ordinací. Ve 3NP je navrženo 9 apartmánů pro víkendové pobyty. Apartmány umožňují vstup na lodžie. Základy jsou tvořeny základovými pasy. Objekt je zděný a zateplen pomocí provětrávané fasády. Nosnou konstrukci krovu tvoří sedlový vazník.This master´s thesis elaborates a project documentation of sports rehabilitation center in Brno–Bystrc. The building object is four-storeyed and a partial basement. On the basement floor there is a pool with sauna, gym and fitness with support to assist for all activities offered. On the ground floor there is an entrance, reception for accommodation, restaurant and kitchen for the restaurant. The 2nd overground floors is determined by the rehabilitation clinic. On the grand and overground floor are designed sanitary appliances for the restaurant and patient surgeries. There are projected 9 apartments for weekend accommodation. Apartments allow access to the terrace. Foundations are made strip foundations. The building object is bricked and insulated with ventilated facades. Load bearing structure of the roof create roof trusses.

Tetracyclin-regulierte Transgenexpression durch Herpesvirus-saimiri-Vektoren in primären humanen Fibroblasten

Herpesvirus saimiri hat als episomaler, nicht integrierender Vektor interessante Eigenschaf­ten für den Gentransfer in viele unterschiedliche Zelltypen von Säugern und Menschen. Durch Red-vermittelte homologe Rekombination in Bakterien wurden Doxycyclin-regulierbare Transgenkassetten in das virale Genom in bakteriellen artifiziellen Chromosomen inseriert und rekombinante Virusvektoren nach Transfektion in permissive Nierenzellen rekonstituiert. Nach Transduktion primärer menschlicher Fibroblasten wurde die Expression des Zielgens für verstärkt grün fluoreszierendes Protein (eGFP) unter Doxycyclin innerhalb weniger Stunden angeschaltet und nach der Entfernung des Induktors wieder abgeschaltet. Insgesamt konnte diese Arbeit zeigen, dass Vektoren auf der Basis von Herpesvirus saimiri die effiziente Transduktion primärer menschlicher Fibroblasten und die Doxycyclin-abhängige Transgenexpression erlauben, aber hinsichtlich der langfristigen Transgenexpression der epigenetischen Inaktivierung unterliegen.As an episomal, non-integrating vector, Herpesvirus saimiri has interesting properties for the gene transfer into many different cell types of mammals and humans. By Red-mediated homologous recombination in bacteria, doxycycline-regulated transgene cassettes were inserted into the viral genome in bacterial artificial chromosomes and recombinant virus vectors were reconstituted after transfection into permissive kidney cells. After the transduction of primary human fibroblasts, the expression of the target gene eGFP was switched on by doxycycline within a few hours and switched off again after the removal of the inducer. In summary, this work showed that her­pesvirus saimiri-based vectors enable the efficient transduction of primary human fibroblasts and the doxycycline-dependent transgene expression, but are subject to epigenetic inactiva­tion with respect of long-term transgene expression

"Maidens in need of rescue" - US Kriegserklärungen von Laura Bush zu Jean Bethke Elshtain

'Thema sind die diskursiven Konstruktionen von Gender im von den USA angeführten Krieg gegen Afghanistan im Kontext von Laura Bushs präsidentischer Radioansprache (Nov 2001), in der von namhaften US-Intellektuellen publizierten Erklärung der Kriegsgründe in 'What we are fighting for' (Feb 2002) und das Plädoyer für die Bombardierung im Namen der Rechte unterdrückter Frauen Afghanistans aufseiten eines Segments des US-Feminismus (Jean Bethke Elshtain, Catharine A. MacKinnon; Feminist Majority Foundation). Der feministische Schulterschluss mit einem patriachalischen Imperialismus der US-Regierung reicht dabei über einen bloß strategischen Essentialismus hinaus. Deren gemeinsamer symbolischer Rahmen wird durch die moralischen Naturrechte der Amerikanischen Unabhängigkeitserklärung gebildet. Mittels dieser werden qua retrospektiver Rationalisierung die binären Oppositionen von männlich/ weiblich, Kämpfer/ Zivilbevölkerung, il/ legitimer Krieg und Zivilisierte/ Wilde erneut bestätigt. Damit ist die Ungleichheit der Geschlechter im und durch Krieg nicht nur einer ungenügenden Umsetzung von Rechten zuzuschreiben, sondern liegt auch in deren Diskursivierung und Kategorisierung begründet.' (Autorenreferat)'This article traces the discursive constructions of gender in the US war against Afghanistan. Its focus is on Laura Bush's presidential address (Nov 2001), the document 'What we are fighting for' (Feb 2002) signed by major US intellectuals in support of the war, and some US feminists joining them in the name of liberation of the women of Afghanistan (Jean Bethke Elshtain; Catherine A. MacKinnon; Feminist Majority Foundation). Yet this uncanny coalition between feminism and US patriarchal imperialism goes beyond mere strategic essentialism in which the differences between women are temporarily erased. Insofar as moral natural laws of the American Declaration of Independence (1776) constitute their shared symbolic framework, binary oppositions such as male/ female, soldiers/ non-combatants, it/ regular warfare, civilized/ savage are reified. Thus gender inequality by and in times of war results from its specific discursivization and categorization and cannot be attributed exclusively to an incomplete implementation of rights.' (author's abstract

TargetSpy: a supervised machine learning approach for microRNA target prediction

[Background] Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recently however, it has been shown that this requirement might be too stringent, leading to a substantial number of missed target sites. [Results] We developed TargetSpy, a novel computational approach for predicting target sites regardless of the presence of a seed match. It is based on machine learning and automatic feature selection using a wide spectrum of compositional, structural, and base pairing features covering current biological knowledge. Our model does not rely on evolutionary conservation, which allows the detection of species-specific interactions and makes TargetSpy suitable for analyzing unconserved genomic sequences. In order to allow for an unbiased comparison of TargetSpy to other methods, we classified all algorithms into three groups: I) no seed match requirement, II) seed match requirement, and III) conserved seed match requirement. TargetSpy predictions for classes II and III are generated by appropriate postfiltering. On a human dataset revealing fold-change in protein production for five selected microRNAs our method shows superior performance in all classes. In Drosophila melanogaster not only our class II and III predictions are on par with other algorithms, but notably the class I (no-seed) predictions are just marginally less accurate. We estimate that TargetSpy predicts between 26 and 112 functional target sites without a seed match per microRNA that are missed by all other currently available algorithms. [Conclusion] Only a few algorithms can predict target sites without demanding a seed match and TargetSpy demonstrates a substantial improvement in prediction accuracy in that class. Furthermore, when conservation and the presence of a seed match are required, the performance is comparable with state-of-the-art algorithms. TargetSpy was trained on mouse and performs well in human and drosophila, suggesting that it may be applicable to a broad range of species. Moreover, we have demonstrated that the application of machine learning techniques in combination with upcoming deep sequencing data results in a powerful microRNA target site prediction tool http://www.targetspy.org webcite.The work of MH was supported by the Spanish Government (Grant number: BIO2008.01353) and by the Junta de Andalucia (Grant number P07-FQM-03613)

DARIO: a ncRNA detection and analysis tool for next-generation sequencing experiments

Small non-coding RNAs (ncRNAs) such as microRNAs, snoRNAs and tRNAs are a diverse collection of molecules with several important biological functions. Current methods for high-throughput sequencing for the first time offer the opportunity to investigate the entire ncRNAome in an essentially unbiased way. However, there is a substantial need for methods that allow a convenient analysis of these overwhelmingly large data sets. Here, we present DARIO, a free web service that allows to study short read data from small RNA-seq experiments. It provides a wide range of analysis features, including quality control, read normalization, ncRNA quantification and prediction of putative ncRNA candidates. The DARIO web site can be accessed at http://dario.bioinf.uni-leipzig.de/

microRNA Target Predictions across Seven Drosophila Species and Comparison to Mammalian Targets

microRNAs are small noncoding genes that regulate the protein production of genes by binding to partially complementary sites in the mRNAs of targeted genes. Here, using our algorithm PicTar, we exploit cross-species comparisons to predict, on average, 54 targeted genes per microRNA above noise in Drosophila melanogaster. Analysis of the functional annotation of target genes furthermore suggests specific biological functions for many microRNAs. We also predict combinatorial targets for clustered microRNAs and find that some clustered microRNAs are likely to coordinately regulate target genes. Furthermore, we compare microRNA regulation between insects and vertebrates. We find that the widespread extent of gene regulation by microRNAs is comparable between flies and mammals but that certain microRNAs may function in clade-specific modes of gene regulation. One of these microRNAs (miR-210) is predicted to contribute to the regulation of fly oogenesis. We also list specific regulatory relationships that appear to be conserved between flies and mammals. Our findings provide the most extensive microRNA target predictions in Drosophila to date, suggest specific functional roles for most microRNAs, indicate the existence of coordinate gene regulation executed by clustered microRNAs, and shed light on the evolution of microRNA function across large evolutionary distances. All predictions are freely accessible at our searchable Web site http://pictar.bio.nyu.edu

Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review

Objectives: To systematically review studies using machine learning (ML) algorithms to predict whether patients undergoing total knee or total hip arthroplasty achieve an improvement as high or higher than the minimal clinically important differences (MCID) in patient reported outcome measures (PROMs) (classification problem). Methods: Studies were eligible to be included in the review if they collected PROMs both pre- and postintervention, reported the method of MCID calculation and applied ML. ML was defined as a family of models which automatically learn from data when selecting features, identifying nonlinear relations or interactions. Predictive performance must have been assessed using common metrics. Studies were searched on MEDLINE, PubMed Central, Web of Science Core Collection, Google Scholar and Cochrane Library. Study selection and risk of bias assessment (ROB) was conducted by two independent researchers. Results: 517 studies were eligible for title and abstract screening. After screening title and abstract, 18 studies qualified for full-text screening. Finally, six studies were included. The most commonly applied ML algorithms were random forest and gradient boosting. Overall, eleven different ML algorithms have been applied in all papers. All studies reported at least fair predictive performance, with two reporting excellent performance. Sample size varied widely across studies, with 587 to 34,110 individuals observed. PROMs also varied widely across studies, with sixteen applied to TKA and six applied to THA. There was no single PROM utilized commonly in all studies. All studies calculated MCIDs for PROMs based on anchor-based or distribution-based methods or referred to literature which did so. Five studies reported variable importance for their models. Two studies were at high risk of bias. Discussion: No ML model was identified to perform best at the problem stated, nor can any PROM said to be best predictable. Reporting standards must be improved to reduce risk of bias and improve comparability to other studies.TU Berlin, Open-Access-Mittel - 202

deepBlockAlign: a tool for aligning RNA-seq profiles of read block patterns

Motivation: High-throughput sequencing methods allow whole transcriptomes to be sequenced fast and cost-effectively. Short RNA sequencing provides not only quantitative expression data but also an opportunity to identify novel coding and non-coding RNAs. Many long transcripts undergo post-transcriptional processing that generates short RNA sequence fragments. Mapped back to a reference genome, they form distinctive patterns that convey information on both the structure of the parent transcript and the modalities of its processing. The miR-miR* pattern from microRNA precursors is the best-known, but by no means singular, example

Chinese urbanites and the preservation of rare species in remote parts of the country: the example of eaglewood

Based on a Contingent Valuation study in Shanghai we assess peoples willingness to contribute personally to the alleviation of environmental problems occurring in distant parts of the country. One split of our survey assessed Shanghai residents willingness to pay for the preservation of rainforest in Yunnan, while the other split referred to the willingness to pay for the preservation of a single plant species (i.e. eaglewood) growing in this rainforest. The objectives of this study were twofold. Firstly, we wanted to find out if people living in big Chinese cities like Shanghai take an interest in the environmental problems existing in some remote parts of the country and if they are willing to contribute personally to remedy these problems. Secondly, we wanted to learn more about the motivation behind this kind of empathy, if it exists. We were especially interested in the question if this empathy refers to the specific environmental problems we addressed in our surveys or if it is motivated more by a general feeling of obligation towards environmental issues