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See detailWie belastend erleben (Alleinerziehende) Eltern ihre Arbeit?
Sischka, Philipp UL; Steffgen, Georges UL

E-print/Working paper (2021)

Im Rahmen dieser Newsletter wird analysiert, wie sich verschiedene Arbeitnehmergruppen hinsichtlich ihrer familiären Situation unterscheiden, und in welchem Maße die familiäre Situation der Arbeitnehmer ... [more ▼]

Im Rahmen dieser Newsletter wird analysiert, wie sich verschiedene Arbeitnehmergruppen hinsichtlich ihrer familiären Situation unterscheiden, und in welchem Maße die familiäre Situation der Arbeitnehmer mit verschiedenen Quality of Work, Quality of Employment und Well-Being Dimensionen zusammenhängt. Die familiäre Situation wird dabei überwiegend vom Alter der Arbeitnehmer bestimmt. Alleinerziehende Eltern, d.h. Arbeitnehmer ohne Partner und mit minderjährigen Kindern, weisen zwischen 2016 und 2020 den höchsten Anstieg bei mentalen und emotionalen Anforderungen auf. Gleichzeitig zeigt sich für diese Gruppe ein Rückgang der Arbeitszufriedenheit und des generellen Well-Being, sowie ein Anstieg des Burnoutniveaus und der Gesundheitsprobleme. [less ▲]

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See detailHybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda
Palmirani, Monica; Sovrano, Francesco; Liga, Davide UL et al

in Legal Knowledge and Information Systems (2021)

This paper presents an AI use-case developed in the project “Study on legislation in the era of artificial intelligence and digitization” promoted by the EU Commission Directorate-General for Informatics ... [more ▼]

This paper presents an AI use-case developed in the project “Study on legislation in the era of artificial intelligence and digitization” promoted by the EU Commission Directorate-General for Informatics. We propose a hybrid technical framework where AI techniques, Data Analytics, Semantic Web approaches and LegalXML modelisation produce benefits in legal drafting activity. This paper aims to classify the corrigenda of the EU legislation with the goal to detect some criteria that could prevent errors during the drafting or during the publication process. We use a pipeline of different techniques combining AI, NLP, Data Analytics, Semantic annotation and LegalXML instruments for enriching the non-symbolic AI tools with legal knowledge interpretation to offer to the legal experts. [less ▲]

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See detailParcours contemporains du regard sur des œuvres du XVIIIe siècle
Blanc, Mathias UL; Martinez, Victoria; Delmas, Laurine

Scientific Conference (2021)

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See detailFLIM-FRET Analysis of Ras Nanoclustering and Membrane-Anchorage.
Parkkola, Hanna; Siddiqui, Farid Ahmad; Oetken-Lindholm, Christina et al

in Methods in molecular biology (Clifton, N.J.) (2021), 2262

On the plasma membrane, Ras is organized into laterally segregated proteo-lipid complexes called nanoclusters. The extent of Ras nanoclustering correlates with its signaling output, positioning ... [more ▼]

On the plasma membrane, Ras is organized into laterally segregated proteo-lipid complexes called nanoclusters. The extent of Ras nanoclustering correlates with its signaling output, positioning nanocluster as dynamic signaling gain modulators. Recent evidence suggests that stacked dimers of Ras and Raf are elemental units at least of one type of Ras nanocluster. However, it is still incompletely understood, in which physiological contexts nanoclustering is regulated and which constituents are parts of nanocluster. Nonetheless, disruption of nanoclustering faithfully diminishes Ras activity in cells, suggesting Ras nanocluster as potential drug targets.While there are several methods available to study Ras nanocluster , fluorescence or Förster resonance energy transfer (FRET ) between fluorescently labeled, nanoclustered Ras proteins is a relatively simple readout. FRET measurements using fluorescence lifetime imaging microscopy (FLIM ) have proven to be robust and sensitive to determine Ras nanoclustering changes. Loss of FRET that emerges due to nanoclustering reports on all processes upstream of Ras nanoclustering, i.e., also on proper trafficking or lipid modification of Ras. Here we report our standard FLIM-FRET protocol to measure nanoclustering-dependent FRET of Ras in mammalian cells. Importantly, nanoclustering-dependent FRET is one of the few methods that can detect differences between the Ras isoforms. [less ▲]

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See detailVisiteurs, sculptures et réalité augmentée : l’expérience Ikonikat 3D au Louvre-Lens
Blanc, Mathias UL; Legeay, Guilaine; Bremard, Nicolas et al

Scientific Conference (2021)

In the field of Museum Studies, the notion of "visitor's experience" invites us to go beyond the ordinary oppositions between phenomenological perspective and pragmatic approach. In order to experiment ... [more ▼]

In the field of Museum Studies, the notion of "visitor's experience" invites us to go beyond the ordinary oppositions between phenomenological perspective and pragmatic approach. In order to experiment the fruitfulness of this epistemic overcoming, we have developed the method of "annotation drawing" in situation. The first results already allow us to identify the different social-semiotic registers that unfold in such a situation of museum visit, questioning the museography and provoking a dialogue with the expert knowledge of the art historian. Initially focused on painting, a transposition of our method to sculpture enriches the problematic and accentuates the importance of taking into account the performative dimensions of the visitor's gaze and body. This imperative induces a development in "augmented reality" of our digital device, called "Ikonikat 3D", and an analysis of its effects on the social interaction. We have thus begun a study with this technology on the reception of casts of Louvre antiques, exhibited at the Louvre-Lens Museum. In front of the exhibited artworks, using the camera of a tablet and pointing it towards the sculpture, visitors can draw on the image that appears on their screen. They can turn around a work of art and make a drawing without losing the display of their successive drawings on the work. This interaction between visitors and the sculptures with Ikonikat 3D allows for unprecedented visitor feedback and engagement. [less ▲]

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See detailCemeteries and Crematoria. Creating inclusive public spaces in Luxembourg
Kmec, Sonja UL; Westendorp, Mariske

Report (2021)

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See detailCimetières et crématoriums. Créer des espaces publics inclusifs au Luxembourg
Kmec, Sonja UL; westendorp, Mariske

Report (2021)

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See detailFriedhöfe und Krematorien. Zur inklusionsorientierten Adaptierung öffentlichen Raums
Kmec, Sonja UL; Westendorp, Mariske

Report (2021)

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See detailCemitérios e Crematórios. Criar espaços públicos inclusivos em Luxemburgo
Kmec, Sonja UL; westendorp, Mariske

Report (2021)

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See detailElectricity Market Design 2030-2050: Shaping Future Electricity Markets for a Climate-Neutral Europe
Ahunbay, Mete Seref; Ashour Novirdoust, Amir; Bhuiyan, Rajon UL et al

Report (2021)

Speeding up the energy transition in the European Union (EU) is a major task to quickly reduce harmful greenhouse gas emissions. Market design plays a crucial role in the decarbonization of the European ... [more ▼]

Speeding up the energy transition in the European Union (EU) is a major task to quickly reduce harmful greenhouse gas emissions. Market design plays a crucial role in the decarbonization of the European energy system, driving the expansion of both Renewable Energy Sources (RES) and accompanying flexibility sources. In particular, demand flexibility by energy-intensive industrial companies can play a key role. By flexibilizing their production processes, industrial companies can contribute to an increased use of variable RES (in the following referred to as Variable Renewable Energy (VRE)) to lower the CO2 footprint of their products with positive effects on economic competitiveness. Together with other flexibility sources like electric vehicles, the EU can transition to a just, low-carbon society and economy with benefits for all. However, to actually realize these benefits, market design must account for the changing production and consumption characteristics, e.g., the intermittency of VRE. Starting with current challenges of the energy transition that need to be solved with a future market designin the EU, the whitepaper takes alternative market design options and recent technological developments into account, which are highly intertwined. The whitepaper elaborates on the role of, for instance, flexibility, digital technologies, market design with locational incentives, and possible transition pathways in a European context. The “Clean energy for all Europeans” package offers a new opportunity to deepen the integration of different national electricity systems, whereby Transmission System Operators (TSOs) are required to reserve at least 70% of transmission capacities for cross-border trades from 2025 onwards. The corresponding scarcity of transmission capacities on the national level, however, may aggravate congestion to a critical extent, calling for transformational changes in market design involving, e.g., a redefinition of bidding zones close to the network-node level. The present whitepaper can be seen as part of a series of whitepapers on electricity market design 2030 - 2050 [14, 15] and continues the analysis of regionally differentiated prices or Locational Marginal Pricing (LMP) as a means to address congestion problems in future VRE-based electricity systems. Thereby, the whitepaper extends the findings of the previous two whitepapers (where in the latter whitepapers, e.g., a detailed discussion of the pros and cons of LMP can be found) and elaborates on the question how LMP could be implemented in one or several European countries and how possible implementation pathways may look like in a coupled European system. Moreover, the whitepaper describes preparatory steps that are necessary for the introduction of LMP, and – at the same time – create advantages for countries under both, a nodal and zonal market design. All in all, the results and outcomes of the whitepaper shall support the market design transition in Europe and, thus, the integration and activation of flexibility potentials to foster a fast reduction of CO2 emissions through a better use of VRE. Therefore, the whitepaper contributes with concrete policy measures to the overarching vision of a future European electricity market design that bases on low-carbon technologies and enhances welfare and fairness, while ensuring economic competitiveness of Europe. We would like to thank all the partners and are grateful for the financial support from the Federal Ministry of Education and Research as well as the Project Management Jülich. Martin Bichler, Hans Ulrich Buhl, and Martin Weibelzahl (SynErgie) Antonello Monti (OneNet) [less ▲]

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See detailUncertainty in Argumentation Schemes: Negative Consequences and Basic Slippery Slope
Liga, Davide UL; Palmirani, Monica

in Logic and Argumentation (2020)

This study is an approach to encompass uncertainty in the well-known Argumentation Scheme from Negative Consequences and in the more recent “Basic Slippery Slope Argument” proposed by Douglas Walton. This ... [more ▼]

This study is an approach to encompass uncertainty in the well-known Argumentation Scheme from Negative Consequences and in the more recent “Basic Slippery Slope Argument” proposed by Douglas Walton. This work envisages two new kinds of uncertainty that should be taken into account, one related to time and one related to the material relation between premises and conclusion. Furthermore, it is argued that some modifications to the structure of these Argumentation Schemes or to their Critical Questions could facilitate the process of Knowledge Extraction and modeling from these two argumentative patterns. For example, the study suggests to change the premises of the Basic Slippery Slope related to the Control and the Loss of Control. [less ▲]

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See detailArgumentation Schemes as Templates? Combining Bottom-up and Top-down Knowledge Representation
Liga, Davide UL; Palmirani, Monica

in Proceedings of the 20th Workshop on Computational Models of Natural Argument (2020)

This paper describes a long-term research goal which aims at creating a middleware interface between Argumentation Schemes and natural language. This idea comes from the need to face some challenges ... [more ▼]

This paper describes a long-term research goal which aims at creating a middleware interface between Argumentation Schemes and natural language. This idea comes from the need to face some challenges related to the automatic extraction of Argumentation Schemes from Nat- ural Language: for example the ability to extract Argumentation Schemes at different level of granularity. In the paper we describe how this process can be designed and how the structures of Argumentation Schemes can be modeled to this aim. [less ▲]

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See detailTransfer Learning with Sentence Embeddings for Argumentative Evidence Classification
Liga, Davide UL; Palmirani, Monica

in Proceedings of the 20th Workshop on Computational Models of Natural Argument (2020)

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See detailCombining tree kernels and tree representations to classify argumentative stances
Liga, Davide UL; Palmirani, Monica

in Advances in Semantics and Linked Data: Joint Workshop Proceedings from ISWC 2020 (2020)

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See detailRegard et signification : la réception des peintures par le tracé d’annotation (Ikonikat)
Blanc, Mathias UL

in Parcours anthropologiques (2020), (15), 58--74

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See detailEmotion Recognition Based on Facial Expressions Using Convolutional Neural Network (CNN)
Begaj, S.; Topal, Ali Osman UL; Ali, Muhammad UL et al

in Proceedings - 2020 International Conference on Computing, Networking, Telecommunications and Engineering Sciences Applications, CoNTESA 2020 (2020)

Over the last few years, there has been an increasing number of studies about facial emotion recognition because of the importance and the impact that it has in the interaction of humans with computers ... [more ▼]

Over the last few years, there has been an increasing number of studies about facial emotion recognition because of the importance and the impact that it has in the interaction of humans with computers. With the growing number of challenging datasets, the application of deep learning techniques have all become necessary. In this paper, we study the challenges of Emotion Recognition Datasets and we also try different parameters and architectures of the Conventional Neural Networks (CNNs) in order to detect the seven emotions in human faces, such as: anger, fear, disgust, contempt, happiness, sadness and surprise. We have chosen iCV MEFED (Multi-Emotion Facial Expression Dataset) as the main dataset for our study, which is relatively new, interesting and very challenging. © 2020 IEEE. [less ▲]

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See detailDetecting “slippery slope” and other argumentative stances of opposition using tree kernels in monologic discourse
Liga, Davide UL; Palmirani, Monica

in International Joint Conference on Rules and Reasoning (2019)

The aim of this study is to propose an innovative methodology to classify argumentative stances in a monologic argumentative context. Particularly, the proposed approach shows that Tree Kernels can be ... [more ▼]

The aim of this study is to propose an innovative methodology to classify argumentative stances in a monologic argumentative context. Particularly, the proposed approach shows that Tree Kernels can be used in combination with traditional textual vectorization to discriminate between different stances of opposition without the need of extracting highly engineered features. This can be useful in many Argument Mining sub-tasks. In particular, this work explores the possibility of classifying opposition stances by training multiple classifiers to reach different degrees of granularity. Noticeably, discriminating support and opposition stances can be particularly useful when trying to detect Argument Schemes, one of the most challenging sub-task in the Argument Mining pipeline. In this sense, the approach can be also considered as an attempt to classify stances of opposition that are related to specific Argument Schemes. [less ▲]

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See detailArgumentative evidences classification and argument scheme detection using tree kernels
Liga, Davide UL

in Proceedings of the 6th Workshop on Argument Mining (2019)

The purpose of this study is to deploy a novel methodology for classifying different argumentative support (supporting evidences) in arguments, without considering the context. The proposed methodology is ... [more ▼]

The purpose of this study is to deploy a novel methodology for classifying different argumentative support (supporting evidences) in arguments, without considering the context. The proposed methodology is based on the idea that the use of Tree Kernel algorithms can be a good way to discriminate between different types of argumentative stances without the need of highly engineered features. This can be useful in different Argumentation Mining sub-tasks. This work provides an example of classifier built using a Tree Kernel method, which can discriminate between different kinds of argumentative support with a high accuracy. The ability to distinguish different kinds of support is, in fact, a key step toward Argument Scheme classification. [less ▲]

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See detailComparing Tree Kernels performances in argumentative evidence classification
Liga, Davide UL

in CLADAG 2019 - Book of Short Papers (2019)

The purpose of this study is to deploy a novel methodology for classifying argumentative support (or evidence) in arguments. The methodology shows that Tree Kernel can discriminate between different types ... [more ▼]

The purpose of this study is to deploy a novel methodology for classifying argumentative support (or evidence) in arguments. The methodology shows that Tree Kernel can discriminate between different types of argumentative evidence with high scores, while keeping a good generalization. Moreover, the results of two different Tree Kernels are evaluated. [less ▲]

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See detailClassifying argumentative stances of opposition using Tree Kernels
Liga, Davide UL; Palmirani, Monica

in ACAI 2019: Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence (2019)

The approach proposed in this study aims to classify argumentative oppositions. A major assumption of this work is that discriminating among different argumentative stances of support and opposition can ... [more ▼]

The approach proposed in this study aims to classify argumentative oppositions. A major assumption of this work is that discriminating among different argumentative stances of support and opposition can facilitate the detection of Argument Schemes. While using Tree Kernels for classification problems can be useful in many Argument Mining sub-tasks, this work focuses on the classification of opposition stances. We show that Tree Kernels can be successfully used (alone or in combination with traditional textual vectorizations) to discriminate between different stances of opposition without requiring highly engineered features. Moreover, this study compare the results of Tree Kernels classifiers with the results of classifiers which use traditional features such as TFIDF and n-grams. This comparison shows that Tree Kernel classifiers can outperform TFIDF and n-grams classifiers. [less ▲]

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