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See detailStorytelling through a digital shoebox
Lucchesi, Anita UL

Presentation (2017, June 17)

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See detailCloud-Assisted Device Clustering for Lifetime Prolongation in Wireless IoT Networks
Bhandari, Sabin; Sharma, Shree Krishna UL; Wang, Xianbin

in Proc. IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) 2017 (2017, June 15)

One of the crucial challenges in the recently emerging Internet of Things (IoT) applications is how to handle the massive heterogeneous data generated from a large number of resource-constrained sensors ... [more ▼]

One of the crucial challenges in the recently emerging Internet of Things (IoT) applications is how to handle the massive heterogeneous data generated from a large number of resource-constrained sensors. In this context, cloud computing has emerged as a promising paradigm due to its enormous storage and computing capabilities, thus leading to the IoT-Cloud convergence. In such a framework, IoT devices can be grouped into several clusters and each cluster head can send the aggregated information to the cloud via a gateway for further processing. Although a number of clustering methods have been proposed for the conventional Wireless Sensor Networks (WSNs), it is important to consider specific IoT characteristics while adapting these techniques for wireless IoT networks. One of the important features of IoT networks that can be exploited while developing clustering techniques is the collaborations among heterogeneous IoT devices. In this regard, the network-wide knowledge at the cloud center can be useful to provide information about the device relations to the IoT gateway. Motivated by this, we propose and evaluate a cloud-assisted device interaction-aware clustering scheme for heterogeneous IoT networks. The proposed method considers the joint impact of residual energy and device closeness factor for the effective selection of cluster heads. Our results show that the proposed clustering scheme can significantly prolong the network lifetime, and enhance the overall throughput of a wireless IoT network. [less ▲]

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See detailConstructing Suitable Parameters for Pairing-Based Cryptography
Fotiadis, Georgios UL

Doctoral thesis (2017)

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See detail3. Forschungsbericht zur Weiterentwicklung des Arbeitsqualitätsindexes in Luxemburg
Sischka, Philipp UL; Steffgen, Georges UL

E-print/Working paper (2017)

Der Survey zu dem „Quality of Work Index Luxembourg“ (QoW), der von der Universität Luxemburg und der luxemburgischen Chambre des Salariés entwickelt wurde (Steffgen, Kohl, 2013; Sischka, Steffgen, 2015 ... [more ▼]

Der Survey zu dem „Quality of Work Index Luxembourg“ (QoW), der von der Universität Luxemburg und der luxemburgischen Chambre des Salariés entwickelt wurde (Steffgen, Kohl, 2013; Sischka, Steffgen, 2015, 2016), wurde 2016 bereits zum vierten Mal mittels einer telefonischen Befragung durchgeführt. Ziel des Index ist es, die erlebte Arbeitssituation und -qualität luxemburgischer Arbeitnehmer zu erfassen. Der vorliegende Bericht dokumentiert die psychometrische Testung der Güte des aktuellen Erhebungsinstruments. Dazu erfolgt zunächst eine Beschreibung der für die Skalen genutzten Items, die Überprüfung der internen Konsistenz der jeweiligen Skala mittels verschiedener Reliabilitätsstatistiken (Cronbach’s Alpha, Korrelationsanalysen der Items) sowie Koeffizienten zur Beschreibung der Skalenverteilung. Explorative und konfirmatorische Faktorenanalysen dienen dazu, zu testen, ob die Items auf den a priori festgelegten Faktoren laden und ob sich die unterstellte Faktorenstruktur auch in den Daten zeigt. Außerdem werden die Zusammenhänge der Skalen mittels Korrelationsanalysen überprüft. Die QoW-Skalen werden außerdem auf verschiedene Well-Being-Skalen regressiert, um deren Relevanz für den QoW-Index zu prüfen. Da der QoW Survey teilweise als Panelbefragung durchgeführt wird, wird außerdem geklärt, ob es hinsichtlich demographischer Eigenschaften der Befragten, hinsichtlich der QoW-Skalen oder hinsichtlich verschiedener Well-Being-Maße zu systematischen Ausfällen seit der letzten Welle gekommen ist. Ebenso werden einige Längsschnitt-Regressionsanalysen gerechnet, um zu überprüfen, ob einige Arbeitsbedingungen längerfristige Effekte auf das Well-Being der Arbeitnehmer aufweisen. Abschließend wird das gesamte Erhebungsinstrument zusammenfassend diskutiert und Empfehlungen bezüglich der weiteren Entwicklung der Skalen gegeben. [less ▲]

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See detailTotenhügel und Waldfriedhof - die Gräber und Friedhöfe für gefallene Wehrmachtssoldaten während des Zweiten Weltkriegs zwischen individueller Gräberfürsorge und nationalsozialistischem Totenkult
Janz, Nina UL

in RIHA Journal (2017)

The German soldiers who fell during the Second World War were buried in large cemetery complexes throughout Europe. Construction and design guidelines drawn up by the Wehrmacht itself put national ... [more ▼]

The German soldiers who fell during the Second World War were buried in large cemetery complexes throughout Europe. Construction and design guidelines drawn up by the Wehrmacht itself put national socialist ideology into a concrete form, furthering the myth of sacrifice for the fatherland. Hitler appointed a special architect, Wilhelm Kreis, to design gigantic memorials. In the course of the war both the Wehrmacht and the architect had to adjust their plans to the realities of war; the "heroic" plans could not be realized. [less ▲]

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See detailIntegrated multi-omics for identifying discriminant features in the human microbiome
Wilmes, Paul UL

Scientific Conference (2017, June)

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See detailLe panorama des auteurs italiens au Luxembourg et dans la Grande Région
Cicotti, Claudio UL

Presentation (2017, May 31)

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See detailAnalyse critique de sources numériques: l’Histoire du Luxembourg sur YouTube
Scagliola, Stefania UL

Learning material (2017)

this training was meant to offer civic education lecturers some information on useful approaches to teach pupils to critically assess digital content online

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See detailStructured Sparse Recovery Algorithms for Data Decoding in Media Based Modulation
Bandi, Ashok UL; Murthy, Chandra

in International Conference on Communications, Paris 21-25 May 2017 (2017, May 21)

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See detailCatching Speech in Arezzo: A Clarin workshop for developing a transcription-chain for Oral History
Scagliola, Stefania UL

in Scagliola, Stefania (Ed.) Catching Speech in Arezzo: A Clarin workshop for developing a transcription-chain for Oral History (2017)

This blog describes the results of a workshop in Arezzo in which a roadmap is set out to develop an automatic speech transcription and audio-text alignment chain for scholars who work with interview data

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See detailGrenzüberschreitende Aus- und Weiterbildung an der Universität Luxemburg
Böwen, Petra UL

Speeches/Talks (2017)

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See detailEpigenetics in Parkinson's Disease
Pavlou, Maria Angeliki UL; Outeiro, Tiago

in Neuroepigenomics in Aging and Disease (2017)

Parkinson's disease (PD) is a highly complex neurodegenerative disorder with a multifactorial origin. Although several cellular mechanisms and genes have been implicated in the onset and progression of ... [more ▼]

Parkinson's disease (PD) is a highly complex neurodegenerative disorder with a multifactorial origin. Although several cellular mechanisms and genes have been implicated in the onset and progression of the disease, the precise molecular underpinnings of the disease remain unclear. In this context, epigenetic modulation of gene expression by environmental factors is emerging as an important mechanism in PD and in other neurodegenerative disorders. Thus, epigenetic mechanisms, such as DNA methylation, histone modifications and altered microRNA expression, have been under intense investigation due to their possible involvement in PD. Epigenetic modulation is responsible for inducing differential gene expression, a phenomenon which is essential throughout life in order to regulate multiple cellular responses such as development, cellular fate commitment and adaptation to the environment. Disturbances of a balanced gene expression can, therefore, have detrimental effects. Environmental factors can challenge the establishment and maintenance of epigenetic modifications and could thereby fill the gap in our further understanding of origin and/or progression of neurodegenerative diseases. In this chapter, we focus on the role of epigenetics in PD. [less ▲]

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See detailElliptic Curve Cryptography with Efficiently Computable Endomorphisms and Its Hardware Implementations for the Internet of Things
Liu, Zhe UL; Groszschädl, Johann UL; Hu, Zhi et al

in IEEE Transactions on Computers (2017), 66(5), 773-785

Verification of an ECDSA signature requires a double scalar multiplication on an elliptic curve. In this work, we study the computation of this operation on a twisted Edwards curve with an efficiently ... [more ▼]

Verification of an ECDSA signature requires a double scalar multiplication on an elliptic curve. In this work, we study the computation of this operation on a twisted Edwards curve with an efficiently computable endomorphism, which allows reducing the number of point doublings by approximately 50 percent compared to a conventional implementation. In particular, we focus on a curve defined over the 207-bit prime field Fp with p = 2^207 - 5131. We develop several optimizations to the operation and we describe two hardware architectures for computing the operation. The first architecture is a small processor implemented in 0.13 μm CMOS ASIC and is useful in resource-constrained devices for the Internet of Things (IoT) applications. The second architecture is designed for fast signature verifications by using FPGA acceleration and can be used in the server-side of these applications. Our designs offer various trade-offs and optimizations between performance and resource requirements and they are valuable for IoT applications. [less ▲]

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See detailDevice-based assessment through a mobile application in the Luxembourg Parkinson Cohort
Stallinger, Christian; Satagopam, Venkata; Banda, Peter UL et al

in Basal Ganglia (2017, May), 8

Introduction: The project focuses on the integration device-based assessment (DBA) with a mobile application (mPower) into the longitudinal deeply-phenotyped HELP-PD (Health in the Elderly Luxembourgish ... [more ▼]

Introduction: The project focuses on the integration device-based assessment (DBA) with a mobile application (mPower) into the longitudinal deeply-phenotyped HELP-PD (Health in the Elderly Luxembourgish Population with a focus on Parkinson’s disease) cohort for patients with Parkinsonism in Luxembourg and the Greater Region to monitor frequency and degree of variation in symptoms of Parkinsonism, to identify potential sources and modulators of variation and to evaluate how symptoms are correlated with these modulators across patients. Methods: We integrate for the first time the mPower iOS app into a deeply phenotyped cohort. mPower is one of the first apps to use Apple’s Research Kit framework and combines a traditional survey-based approach with more granular and precise data gained from a person’s iPhone related to sensor- (e.g. step count, GPS-tracking) or task-based assessments (e.g. finger tapping, tremor detection, sustained phonation, simple gait analysis, memory test). Anonymized longitudinal data is sent to a repository, then retrieved, matched, and correlated with conventional HELP-PD data from a total of 47 screening instruments for motor and non-motor functions in Parkinsonism obtained from annual visits of study participants. 14 patients with clinically confirmed IPD are currently included in the pilot phase. Results/Discussion: We modified the mPower app and successfully integrated it into HELP-PD’s novel database infrastructure, allowing for a wide variety of analyses. The reporting system is able to handle multiple DBAs, with the implementation of an in-depth gait analysis system currently pending. Considerable attention was given to data protection. The system is currently fully functional with the pilot phase having started in June 2016. First correlations with traditional clinical data are planned for early 2017. [less ▲]

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See detailLinear prediction of speech: The fractional derivative formula
Despotovic, Vladimir UL; Skovranek, Tomas

in Book of Abstracts, 2017 International Workshop on Fractional Calculus and Its Applications (2017, May)

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See detailUntangling the microbial ecology of anaerobic digestion through integrated multi-omics
Wilmes, Paul UL

Scientific Conference (2017, May)

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See detailSystems Ecology of Microbiomes: A New Frontier of Discovery in Microbiology
Wilmes, Paul UL

Scientific Conference (2017, May)

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See detailFraming and reviewing a green mismatch hypothesis
Le Texier, Marion UL; Caruso, Geoffrey UL

Scientific Conference (2017, April 08)

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See detailNit1 is a metabolite repair enzyme that hydrolyzes deaminated glutathione
Peracchi, Alessio; Veiga-da-Cunha, Maria; Kuhara, Tomiko et al

in Proceedings of the National Academy of Sciences of the United States of America (2017), 1613736114

The mammalian gene Nit1 (nitrilase-like protein 1) encodes a protein that is highly conserved in eukaryotes and is thought to act as a tumor suppressor. Despite being ∼35% sequence identical to ω-amidase ... [more ▼]

The mammalian gene Nit1 (nitrilase-like protein 1) encodes a protein that is highly conserved in eukaryotes and is thought to act as a tumor suppressor. Despite being ∼35% sequence identical to ω-amidase (Nit2), the Nit1 protein does not hydrolyze efficiently α-ketoglutaramate (a known physiological substrate of Nit2), and its actual enzymatic function has so far remained a puzzle. In the present study, we demonstrate that both the mammalian Nit1 and its yeast ortholog are amidases highly active toward deaminated glutathione (dGSH; i.e., a form of glutathione in which the free amino group has been replaced by a carbonyl group). We further show that Nit1-KO mutants of both human and yeast cells accumulate dGSH and the same compound is excreted in large amounts in the urine of Nit1-KO mice. Finally, we show that several mammalian aminotransferases (transaminases), both cytosolic and mitochondrial, can form dGSH via a common (if slow) side-reaction and provide indirect evidence that transaminases are mainly responsible for dGSH formation in cultured mammalian cells. Altogether, these findings delineate a typical instance of metabolite repair, whereby the promiscuous activity of some abundant enzymes of primary metabolism leads to the formation of a useless and potentially harmful compound, which needs a suitable “repair enzyme” to be destroyed or reconverted into a useful metabolite. The need for a dGSH repair reaction does not appear to be limited to eukaryotes: We demonstrate that Nit1 homologs acting as excellent dGSH amidases also occur in Escherichia coli and other glutathione-producing bacteria. [less ▲]

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