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See detailTransformationen von Regionalität in wissenschaftlichen und literarischen Diskursen.
Amann, Wilhelm UL

in Caspers, Britta; Hallenberger, Dirk; Jung, Werner (Eds.) et al Theorien, Modelle und Probleme regionaler Literaturgeschichtsschreibung. (2016)

Detailed reference viewed: 30 (1 UL)
See detailTransformationen, Sprachkosmen, Projektionen – Zwei Theatertexte von Guy Helminger
Bloch, Natalie UL

in Parr, Rolf (Ed.) Guy Helminger – Poet in Residence (2014)

Detailed reference viewed: 62 (3 UL)
See detailTransformationen. Interdisziplinäre Betrachtungen.
Baudson, Tanja Gabriele UL; Seemüller, Anna

Book published by Cuvillier (2011)

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See detailTransformations of sex education since the mid-twentieth century
Rothmüller, Barbara UL

in IJHE Bildungsgeschichte - International Journal for the Historiography of Education (2016), 6(2),

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See detailTransformations of social work practise with homeless people: a case study
Haas, Claude UL; Schmit, Charel UL

Scientific Conference (2010)

Detailed reference viewed: 48 (2 UL)
See detailTransforming borders in Europe. Concepts and spatial planning practices
Connor, Ulla UL

Presentation (2017)

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See detailTransforming Collaboration Data into Network Layers for Enhanced Analytics
Esmaeilzadeh Dilmaghani, Saharnaz UL; Piyatumrong, Apivadee; Bouvry, Pascal UL et al

Scientific Conference (2019, February 25)

We consider the problem of automatically generating networks from data of collaborating researchers. The objective is to apply network analysis on the resulting network layers to reveal supplemental ... [more ▼]

We consider the problem of automatically generating networks from data of collaborating researchers. The objective is to apply network analysis on the resulting network layers to reveal supplemental patterns and insights of the research collaborations. In this paper, we describe our data-to-networks method, which automatically generates a set of logical network layers from the relational input data using a linkage threshold. We, then, use a series of network metrics to analyze the impact of the linkage threshold on the individual network layers. Moreover, results from the network analysis also provide beneficial information to improve the network visualization. We demonstrate the feasibility and impact of our approach using real-world collaboration data. We discuss how the produced network layers can reveal insights and patterns to direct the data analytics more intelligently. [less ▲]

Detailed reference viewed: 124 (33 UL)
See detailTransforming Learning Cultures in Further Education
Biesta, Gert UL; James, D.; Hodkinson, P. et al

in James, D.; Gert Biesta et al. (Eds.) Improving learning cultures in Further Education. (2007)

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See detailTransforming the World by Transforming the University: Envisioning the University of 2040
König, Ariane UL; Dyball, Robert; Davila, Federico

in Solutions (2016), 7(3), 12-16

This article is part of a regular section in Solutions in which the author is challenged to envision a future society in which all the right changes have been made.

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See detailTransforming Time Series for Efficient and Accurate Classification
Li, Daoyuan UL

Doctoral thesis (2018)

Time series data refer to sequences of data that are ordered either temporally, spatially or in another defined order. They can be frequently found in a variety of domains, including financial data ... [more ▼]

Time series data refer to sequences of data that are ordered either temporally, spatially or in another defined order. They can be frequently found in a variety of domains, including financial data analysis, medical and health monitoring and industrial automation applications. Due to their abundance and wide application scenarios, there has been an increasing need for efficient machine learning algorithms to extract information and build knowledge from these data. One of the major tasks in time series mining is time series classification (TSC), which consists of applying a learning algorithm on labeled data to train a model that will then be used to predict the classes of samples from an unlabeled data set. Due to the sequential characteristic of time series data, state-of-the-art classification algorithms (such as SVM and Random Forest) that performs well for generic data are usually not suitable for TSC. In order to improve the performance of TSC tasks, this dissertation proposes different methods to transform time series data for a better feature extraction process as well as novel algorithms to achieve better classification performance in terms of computation efficiency and classification accuracy. In the first part of this dissertation, we conduct a large scale empirical study that takes advantage of discrete wavelet transform (DWT) for time series dimensionality reduction. We first transform real-valued time series data using different families of DWT. Then we apply dynamic time warping (DTW)-based 1NN classification on 39 datasets and find out that existing DWT-based lossy compression approaches can help to overcome the challenges of storage and computation time. Furthermore, we provide assurances to practitioners by empirically showing, with various datasets and with several DWT approaches, that TSC algorithms yield similar accuracy on both compressed (i.e., approximated) and raw time series data. We also show that, in some datasets, wavelets may actually help in reducing noisy variations which deteriorate the performance of TSC tasks. In a few cases, we note that the residual details/noises from compression are more useful for recognizing data patterns. In the second part, we propose a language model-based approach for TSC named Domain Series Corpus (DSCo), in order to take advantage of mature techniques from both time series mining and Natural Language Processing (NLP) communities. After transforming real-valued time series into texts using Symbolic Aggregate approXimation (SAX), we build per-class language models (unigrams and bigrams) from these symbolized text corpora. To classify unlabeled samples, we compute the fitness of each symbolized sample against all per-class models and choose the class represented by the model with the best fitness score. Through extensive experiments on an open dataset archive, we demonstrate that DSCo performs similarly to approaches working with original uncompressed numeric data. We further propose DSCo-NG to improve the computation efficiency and classification accuracy of DSCo. In contrast to DSCo where we try to find the best way to recursively segment time series, DSCo-NG breaks time series into smaller segments of the same size, this simplification also leads to simplified language model inference in the training phase and slightly higher classification accuracy. The third part of this dissertation presents a multiscale visibility graph representation for time series as well as feature extraction methods for TSC, so that both global and local features are fully extracted from time series data. Unlike traditional TSC approaches that seek to find global similarities in time series databases (e.g., 1NN-DTW) or methods specializing in locating local patterns/subsequences (e.g., shapelets), we extract solely statistical features from graphs that are generated from time series. Specifically, we augment time series by means of their multiscale approximations, which are further transformed into a set of visibility graphs. After extracting probability distributions of small motifs, density, assortativity, etc., these features are used for building highly accurate classification models using generic classifiers (e.g., Support Vector Machine and eXtreme Gradient Boosting). Based on extensive experiments on a large number of open datasets and comparison with five state-of-the-art TSC algorithms, our approach is shown to be both accurate and efficient: it is more accurate than Learning Shapelets and at the same time faster than Fast Shapelets. Finally, we list a few industrial applications that relevant to our research work, including Non-Intrusive Load Monitoring as well as anomaly detection and visualization by means for hierarchical clustering for time series data. In summary, this dissertation explores different possibilities to improve the efficiency and accuracy of TSC algorithms. To that end, we employ a range of techniques including wavelet transforms, symbolic approximations, language models and graph mining algorithms. We experiment and evaluate our approaches using publicly available time series datasets. Comparison with the state-of-the-art shows that the approaches developed in this dissertation perform well, and contribute to advance the field of TSC. [less ▲]

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See detailTransforming Under Growth Pressure: Grassroots Sprawl or Top Down and Smart
Carr, Constance UL; Affolderbach, Julia UL

Presentation (2012, July)

At the turn of the millennium, it was decided that Luxembourg should target four percent economic growth in order to best sustain existing quality of life standards. This target has largely been met as ... [more ▼]

At the turn of the millennium, it was decided that Luxembourg should target four percent economic growth in order to best sustain existing quality of life standards. This target has largely been met as Luxembourg’s growth, which was mainly driven by the financial industry and a non-resident labour force, has averaged around five percent annually. Emerging out of a quasi-rural and industrial landscape, Luxembourg has come under the considerable growth pressures associated with a tertiary economy. It is thus facing particular challenges with respect to sustainable development. As a result, Luxembourg planning officials formulated spatially integrative sustainable development guidelines that postulate a polycentric growth model while targeting sufficient provision of housing, preventing sprawl, preserving green spaces, densifying growth poles, and enhancing public transportation. This research examines these strategies that are designed to manage growth and compares it with existing local land use practices. The small size of the Grand Duchy and narrow functional relationships between the capital city and the rest of the country justify treating the whole country as an integrated city region. The absence of a regional administrative level implies direct and strong policy dependencies between the national political and administrative levels. In this paper, particular attention is given to national policy mechanisms and their translation and implementation at the local level. The analysis reveals a number of challenges particularly with respect to enforcement and interpretation related to existing power relationships and different development visions adopted by the municipalities. Observations of the organization and capital flows of retail and commerce, housing and real estate development patterns, and the governance patterns that structure both illustrate how national smart growth policies of integrated smart growth can turn into grassroots sprawl or a governance of dispersal. [less ▲]

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See detailTransforming Unitary States into Federations: Path-Dependent Construction of Political Identities in Belgium and Lebanon
Poirier, Philippe UL; Farhat, Nadim UL; Bourbeau, Philippe et al

in Publius: the Journal of Federalism (2020), pjaa007

The theory of congruence in comparative federalism holds that institutional design will, eventually, reflect societal divisions by transferring central powers to new, autonomous entities. While this model ... [more ▼]

The theory of congruence in comparative federalism holds that institutional design will, eventually, reflect societal divisions by transferring central powers to new, autonomous entities. While this model helps to understand why many divided societies adopt federalism, it cannot explain why only certain unitary states transform into federal ones while others do not. We use a historical institutionalism approach to identify the critical junctures in the trajectory of two prominent plural polities, Belgium and Lebanon. We suggest that the politicization of identities during initial stages of state-building plays a major role in the transformation of a unitary state into a federation—which occurs in the former but not in the latter of our cases. The current contrast in both consociational democracies is explained here as a legacy of the late nineteenth century, which set in motion decisive logics of public governance that direct institutional dynamics until today. [less ▲]

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See detailLes transfrontaliers trouvent du travail
Schwartz, Deborah UL

Diverse speeches and writings (2011)

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See detail[Transgenic mice--biological fundamentals, practices and applications].
Balling, Rudi UL

in DTW. Deutsche tierarztliche Wochenschrift (1994), 101(3), 94-5

The transfer of genes into the germline of mice has become a standard technique of modern biomedical research. In addition to direct microinjection of DNA into the pronuclei of fertilized mouse eggs ... [more ▼]

The transfer of genes into the germline of mice has become a standard technique of modern biomedical research. In addition to direct microinjection of DNA into the pronuclei of fertilized mouse eggs, genes can now also be inactivated via homologous recombination in embryonic stem cells (gene targeting). In the future it will be possible to inactivate any cloned gene via homologous recombination in ES-cells and establish corresponding mouse mutants. [less ▲]

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See detailTransgenic overexpression of the alpha-synuclein interacting protein synphilin-1 leads to behavioral and neuropathological alterations in mice.
Nuber, Silke; Franck, Thomas; Wolburg, Hartwig et al

in Neurogenetics (2010), 11(1), 107-20

Synphilin-1 has been identified as an interacting protein of alpha-synuclein, Parkin, and LRRK2, proteins which are mutated in familial forms of Parkinson disease (PD). Subsequently, synphilin-1 has also ... [more ▼]

Synphilin-1 has been identified as an interacting protein of alpha-synuclein, Parkin, and LRRK2, proteins which are mutated in familial forms of Parkinson disease (PD). Subsequently, synphilin-1 has also been shown to be an intrinsic component of Lewy bodies in sporadic PD. In order to elucidate the role of synphilin-1 in the pathogenesis of PD, we generated transgenic mice overexpressing wild-type and mutant (R621C) synphilin-1 driven by a mouse prion protein promoter. Transgenic expression of both wild-type and the R621C variant synphilin-1 resulted in increased dopamine levels of the nigrostriatal system in 3-month-old mice. Furthermore, we found pathological ubiquitin-positive inclusions in cerebellar sections and dark-cell degeneration of Purkinje cells. Both transgenic mouse lines showed significant reduction of motor skill learning and motor performance. These findings suggest a pathological role of overexpressed synphilin-1 in vivo and will help to further elucidate the mechanisms of protein aggregation and neuronal cell death. [less ▲]

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See detailTransgenic technology as a tool
Balling, Rudi UL

in P. Thorogood (edt.) Embryos, Genes and Birth (1997)

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See detailTransgression im europäischen Theaterverständnis? Hermann Nitschs Orgien Mysterien Theater und Christoph Schlingensiefs Aktion 18, „tötet Politik“
Nonoa, Koku Gnatuloma UL

in Bloch, Natalie; Heimböckel, Dieter; Tropper, Elisabeth (Eds.) Vorstellung Europa – Performing Europe. Interdisziplinäre Perspektiven auf Europa im Theater der Gegenwart (2017)

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See detailTransgression of Taboos in Postdramatic Theater. Productive Aesthetics of Risk
Nonoa, Koku Gnatuloma UL

in Concordia Discors vs Discordia Concors : Researches into Comparative Literature, Contrastive Linguistics, Cross-Cultural and Translation Strategies (2018)

This contribution analyzes Aristotle’s influence on the modern understanding of theater (based on the concept of the drama script) as a restriction and reduction of the potentiality of theater. Therefore ... [more ▼]

This contribution analyzes Aristotle’s influence on the modern understanding of theater (based on the concept of the drama script) as a restriction and reduction of the potentiality of theater. Therefore, it presents a comparative analysis of the objectives of the antique theatrical practices around the 6th and 5th centuries B.C. (before Aristotle) and Schlingensief’s “Action 18, Kill Politic” (2002). It provides also a transcultural examination that helps explain the meaning of the postdramatic transgression of taboos, its productive aesthetics of risk, and its social and political potentiality. Thus, the performance “Action 18, Kill Politic” is analyzed as a process-oriented and experience-based aesthetic of risk as well as a ‘social drama’ in everyday life. [less ▲]

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See detailLe transhumanisme : incarnation de l'hypermodernisme… ou fuite en avant fantasmatique ?
Derian, Maxime UL

in Connexions (2018), 110(2), 73-86

Transhumanism, which appeared the second half of the twentieth century, is an ideological catalyser of a monopolistic concentration in progress in the context of the advent, on a worldwide scale, of ... [more ▼]

Transhumanism, which appeared the second half of the twentieth century, is an ideological catalyser of a monopolistic concentration in progress in the context of the advent, on a worldwide scale, of hypermodernity. It reactualises the old fantasy of infinite youth and the belief in the immortality of the soul by using technoscience to argue in favour of its feasibility. What works in favour of transhumanism is that we would all like to believe in it because it flatters a latent wish to overcome our limits. And yet it is precisely our limits that structure the form and harmony of our bodies and minds and give meaning to our existence. *** Le transhumanisme apparu dans la seconde moitié du xx e siècle est un catalyseur idéologique d’une concentration monopolistique en cours dans le cadre de l’avènement, à l’échelle planétaire, de l’hypermodernité. Il réactualise le vieux fantasme de la jeunesse infinie et la croyance en l’immortalité de l’âme en utilisant la technoscience pour argumenter en faveur de sa faisabilité. Ce qui joue en faveur du transhumanisme, c’est que nous avons tous envie d’y croire car cela flatte un désir latent de s’affranchir de nos limites. Pourtant, ce sont précisément nos limites qui structurent la forme et l’harmonie de notre corps et de notre psyché et donnent un sens à nos existences. [less ▲]

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