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See detailPerceived Ageism During the Covid-19-Crisis is Longitudinally Related to Subjective Perceptions of Aging
Kornadt, Anna Elena UL; Albert, Isabelle UL; Hoffmann, Martine et al

in Frontiers in Public Health (in press)

Ageism in media and society has increased sharply during the Covid-19-crisis, with expected negative consequences for the health and well-being of older adults. The current study investigates whether ... [more ▼]

Ageism in media and society has increased sharply during the Covid-19-crisis, with expected negative consequences for the health and well-being of older adults. The current study investigates whether perceived ageism during the crisis longitudinally affects how people perceive their own aging. In June 2020, N = 611 older adults from Luxembourg [aged 60 – 98 years, Mage(SD) = 69.92(6.97)] participated in a survey on their perception of the crisis. In October 2020, N = 523 participated in a second measurement occasion. Participants reported on perceived ageism during the crisis in different domains, their self-perceptions of aging and subjective age. In latent longitudinal regression models, we predicted views on aging at T2 with perceived ageism at T1, while controlling for baseline views on aging and covariates. Perceived ageism at T1 increased self-perceptions of aging as social loss and yielded a trend for physical decline, while there were no effects on subjective age and self-perceptions of aging as continued growth. Views on aging are powerful predictors of well-being and health outcomes in later life. Our data suggest that being the target of ageism during the crisis negatively affects older adults’ self-perceptions of aging and this impact may be felt beyond the current crisis. [less ▲]

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See detailExperimental Studies on Subjective Views of Aging: Overview, Challenges, and Future Directions
Wahl, Hans-Werner; Kornadt, Anna Elena UL

in Diehl, Manfred; Palgi, Yuval; Shrira, Amit (Eds.) Subjective Views of Aging: Theory, Research, and Practice (in press)

A major body of evidence points to the significant associations between views on aging (VoA) and key developmental outcomes, such as health and well-being. While much of this evidence comes from ... [more ▼]

A major body of evidence points to the significant associations between views on aging (VoA) and key developmental outcomes, such as health and well-being. While much of this evidence comes from longitudinal studies, research on VoA has also been strongly experimental since its inception. Our chapter aims to provide an overview about the major lines of prior experimental research on VoA and by this means derive its role for present and future VoA research overall. We first offer an organizing scheme for the existing body of experimental work on VoA. We arrive at the conclusion that previous experimental research on VoA with older adults has been conducted in a broad range of studies with different dependent variables and experimental manipulations, showing the importance of VoA and their impact on a wide range on phenomena. We then go into more detail of VoA research that has been done in the past decade. Here, our conclusion is that recent experimental research on VoA is taking up societal challenges, such as the aging workforce, older people in the health care system, and stereotype threat elicited by digital technologies. At the same time, current VoA research is adding to the differentiation of established effects in the prior literature as well as helped to identify moderating and contextual conditions not considered previously. We end with a set of recommendations for future experimental VoA research including strengthening the needed liaison with other research formats. [less ▲]

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See detailZur Ausbildung pädagogischer Fachkräfte und Studierender der Sozialen Arbeit an der Universität Luxemburg im Bereich der Sexuellen Bildung für Menschen mit Beeinträchtigungen
de Silva, Adrian UL; Weist, Andreas

in Khamis, Celina; Urban, Maria; Wienholz, Sabine (Eds.) Sexuelle Bildung für das Lehramt (in press)

Since the winter semester 2020/21, the Faculty of Humanities, Education and Social Sciences (FHSE) has been offering the curriculum resulting from the ERASMUS+ project "TRASE - Training in Sex Education ... [more ▼]

Since the winter semester 2020/21, the Faculty of Humanities, Education and Social Sciences (FHSE) has been offering the curriculum resulting from the ERASMUS+ project "TRASE - Training in Sex Education for People with Disabilities" as a course on sex education in a modified form for educational professionals who care for people with disabilities and for students studying for the Bachelor in Social Science and Education (BSSE). This offer is intended to contribute to meeting the need for sound knowledge and professional competence in this field. The purpose of this paper is, after a brief introduction of the TRASE project, to outline the organisational anchoring and structure of the TRASE course at the University of Luxembourg and to reflect on its implementation. We argue that the heterogeneity of the participants in the development phase and in the implementation as a seminar is a particular strength of the course. [less ▲]

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See detailThe quizzing effect depends on hope of success and can be optimized by cognitive load-based adaptation
Heitmann, Svenja; Grund, Axel UL; Fries, Stefan et al

in Learning and Instruction (in press)

It is well established that quizzing fosters learning. However, some gaps in the literature relating to the fit of quizzing to learner characteristics and learner perceptions during quizzing still need to ... [more ▼]

It is well established that quizzing fosters learning. However, some gaps in the literature relating to the fit of quizzing to learner characteristics and learner perceptions during quizzing still need to be addressed. The present study focuses on two of these aspects: achievement motives and perceptions of cognitive load. First, quizzing entails that learners’ performance is judged against some standard of excellence. This might make it appealing and effective for learners with high hope of success and low fear of failure in particular. Second, it is an open question whether providing quiz questions that are adapted to learners’ perceived level of cognitive load during quizzing would be beneficial. To address these questions, we randomly assigned learners to either non-adaptive quizzing, adaptive quizzing, or note-taking. We found that quizzing benefits concerning learning outcomes were moderated by hope of success. Furthermore, the adaptation via cognitive load ratings substantially increased the quizzing effect. [less ▲]

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See detailCombining Genetic Programming and Model Checking to Generate Environment Assumptions
Gaaloul, Khouloud UL; Menghi, Claudio UL; Nejati, Shiva UL et al

in IEEE Transactions on Software Engineering (in press)

Software verification may yield spurious failures when environment assumptions are not accounted for. Environment assumptions are the expectations that a system or a component makes about its operational ... [more ▼]

Software verification may yield spurious failures when environment assumptions are not accounted for. Environment assumptions are the expectations that a system or a component makes about its operational environment and are often specified in terms of conditions over the inputs of that system or component. In this article, we propose an approach to automatically infer environment assumptions for Cyber-Physical Systems (CPS). Our approach improves the state-of-the-art in three different ways: First, we learn assumptions for complex CPS models involving signal and numeric variables; second, the learned assumptions include arithmetic expressions defined over multiple variables; third, we identify the trade-off between soundness and coverage of environment assumptions and demonstrate the flexibility of our approach in prioritizing either of these criteria. We evaluate our approach using a public domain benchmark of CPS models from Lockheed Martin and a component of a satellite control system from LuxSpace, a satellite system provider. The results show that our approach outperforms state-of-the-art techniques on learning assumptions for CPS models, and further, when applied to our industrial CPS model, our approach is able to learn assumptions that are sufficiently close to the assumptions manually developed by engineers to be of practical value. [less ▲]

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See detail"Just for the sake of transparency": Exploring Voter Mental Models Of Verifiability
Zollinger, Marie-Laure UL; Estaji, Ehsan UL; Ryan, Peter Y A UL et al

in Electronic Voting, Sixth International Joint Conference, E-Vote-ID 2021, Bregenz, Austria, October 2-5, (2021)

Verifiable voting schemes allow voters to verify their individual votes and the election outcome. The voting protocol Selene offers verification of plaintext votes while preserving privacy. Misconceptions ... [more ▼]

Verifiable voting schemes allow voters to verify their individual votes and the election outcome. The voting protocol Selene offers verification of plaintext votes while preserving privacy. Misconceptions of verification mechanisms might result in voters mistrust of the system or abstaining from using it. In this paper, we interviewed 24 participants and invited them to illustrate their mental models of Selene. The drawings demonstrated different levels of sophistication and four mental models: 1) technology understanding, 2) meaning of the verification phase, 3) security concerns, and 4) unnecessary steps. We highlight the misconceptions expressed regarding Internet voting technologies and the system design. Based on our findings, we conclude with recommendations for future implementations of Selene as well as for the design of Internet voting systems in general. [less ▲]

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See detailCharacterizing the Impact of Network Delay on Bitcoin Mining
Cao, Tong UL; Decouchant, Jérémie UL; Yu, Jiangshan et al

Scientific Conference (2021, September)

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See detailDeveloping a talent: An exploratory study of Talent Management in Russia
Usanova, Ksenia UL

Scientific Conference (2021, July 29)

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See detailFrom robust tests to Bayes-like posterior distributions
Baraud, Yannick UL

E-print/Working paper (2021)

In the Bayes paradigm and for a given loss function, we propose the construction of a new type of posterior distributions for estimating the law of an n-sample. The loss functions we have in mind are ... [more ▼]

In the Bayes paradigm and for a given loss function, we propose the construction of a new type of posterior distributions for estimating the law of an n-sample. The loss functions we have in mind are based on the total variation distance, the Hellinger distance as well as some 𝕃j-distances. We prove that, with a probability close to one, this new posterior distribution concentrates its mass in a neighbourhood of the law of the data, for the chosen loss function, provided that this law belongs to the support of the prior or, at least, lies close enough to it. We therefore establish that the new posterior distribution enjoys some robustness properties with respect to a possible misspecification of the prior, or more precisely, its support. For the total variation and squared Hellinger losses, we also show that the posterior distribution keeps its concentration properties when the data are only independent, hence not necessarily i.i.d., provided that most of their marginals are close enough to some probability distribution around which the prior puts enough mass. The posterior distribution is therefore also stable with respect to the equidistribution assumption. We illustrate these results by several applications. We consider the problems of estimating a location parameter or both the location and the scale of a density in a nonparametric framework. Finally, we also tackle the problem of estimating a density, with the squared Hellinger loss, in a high-dimensional parametric model under some sparcity conditions. The results established in this paper are non-asymptotic and provide, as much as possible, explicit constants. [less ▲]

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See detailWeighted numbers: Commentary on “The Number Sense Represents (Rational) Numbers” by Sam Clarke and Jacob Beck
Marinova, Mila UL; Fedele, Marta; Reynvoet, Bert

in Behavioral and Brain Sciences (2021)

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See detailWhen Trusting Your Family Hurts Your Family Business
Jaskiewicz, Peter; Carney, Michael G.; Hansen, Christopher UL

Article for general public (2021)

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See detailThought, Language, and Reasoning. Perspectives on the Relation Between Mind and Language
Fraissler, Hannes UL

Doctoral thesis (2021)

This dissertation is an investigation into the relation between mind and language from different perspectives, split up into three interrelated but still, for the most part, self-standing parts. Parts I ... [more ▼]

This dissertation is an investigation into the relation between mind and language from different perspectives, split up into three interrelated but still, for the most part, self-standing parts. Parts I and II are concerned with the question how thought is affected by language while Part III investigates the scope covered by mind and language respectively. Part I provides a reconstruction of Ludwig Wittgenstein’s famous Private Language Argument in order to apply the rationale behind this line of argument to the relation between mind and language. This argumentative strategy yields the conclusion that reasoning – an important type of thought – is constitutively dependent on language possession and is therefore not available to non-linguistic creatures. This result is achieved by considering the preconditions for reasoning – given that it is a rule-governed activity – and eliminating competitors to language for providing reasoners with what it takes to reason. Part II provides a critical outlook on the wide and highly heterogeneous field of linguistic relativity theories. It is argued that no kind of linguistic relativity whatsoever follows from the conclusion of Part I – i.e., the claim that reasoning is constitutively dependent on having a language. While Part II does not provide a conclusive argument against the linguistic relativity hypothesis, it is argued that endorsement of linguistic relativity theories often rests on a mistaken assumption to the effect that language and culture are interwoven in a way which makes it impossible to separate culture and language, as well as their respective studies. This assumption is undermined by providing examples of languages which clearly predate their culture (Esperanto) or do not even have a culture at all (Klingon). So, the assumption that language and culture are inextricably intertwined is refuted by way of counterexample. Part III provides an in-depth examination of the Principle of Expressibility – prominently endorsed and formulated by John Searle – which claims that whatever can be thought can also be said. The domains of what can be thought and of what can be said are considered in set theoretic terms in order to determine whether one is contained in the other, so that everything we can think can also be adequately communicated. After thorough study of interpretative issues regarding the Principle of Expressibility and consideration of the most pressing potential counterexamples to the principle, we can conclude that we have good reason to believe in the truth of the Principle of Expressibility. In conclusion, the achieved results are related back to prominent positions in the discussion about thought and language which already make their appearance in the very beginning of this investigation. The final chapter of this dissertation reminds us that eminent figures in philosophy have often taken a wrongheaded perspective on the relation between language and thought, so that language has frequently appeared to be an impediment to thought. We can, however, confidently conclude that language, on the contrary, is by far our most apt means for thought and that reasoning would not even be possible without the resources language provides. [less ▲]

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See detailIntegrated multi-omic analyses of mobile genetic elements within a mixed microbial community
Martinez Arbas, Susana UL

Doctoral thesis (2021)

Microbial communities are ubiquitous, complex and dynamic systems that constantly adapt to changing environmental conditions, while playing important roles in natural environments, human health and ... [more ▼]

Microbial communities are ubiquitous, complex and dynamic systems that constantly adapt to changing environmental conditions, while playing important roles in natural environments, human health and biotechnological processes. Invasive mobile genetic elements (iMGE) are considered as important biotic components of microbial communities, in particular (bacterio)-phages and plasmids are some of the most abundant and diverse biological entities, which may influence community structure and dynamics. Microbial populations within naturally occurring communities are constantly interacting with each other. Ecological interactions between those populations can be generally classified as competitive and cooperative relationships. To date, extensive studies on biotic interactions, i.e. relationships between microbial hosts with iMGEs and between microbial populations, have been somewhat limited, thus restricting our understanding of microbial community dynamics. Fortunately, high-throughput multi-omics derived from microbiomes, i.e. metagenomics and metatranscriptomics, enables access to both functional -potential and -expression information of those biotic components. Combining longitudinal multi-omics data with mathematical frameworks allows us to model microbial community interactions and dynamics, unlike ever before. Here, I present a longitudinal integrated multi-omics analysis of biotic components within foaming activated sludge, spanning ~1.5 years to unravel i) iMGE-host dynamics and ii) ecological interactome. In the first part of this work, empirical host-iMGE CRISPR-based links in combination with mathematical modelling highlighted the importance of plasmids, relative to phages, in shaping community structure, while also showing that plasmids vastly outnumbered, and were more targeted via CRISPR-Cas systems, compared to their phage counterparts. In the second part of this work, mathematical modelling is used to provide ecological contexts for the relationships between microbial community members. In general, we observed a dynamic interactome, with higher cooperative interactions, despite these populations encoding highly similar functional potential. In summary, this work demonstrates the potential of longitudinal multi-omics in expanding our understanding of microbial community dynamics, which could be expanded to other microbial ecosystems and potentially lead to applications in human health and biotechnological processes. [less ▲]

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See detailFAIR chemical structures in the Journal of Cheminformatics
Schymanski, Emma UL; Bolton, Evan E.

in Journal of Cheminformatics (2021), 13(1), 50

Abstract The ability to access chemical information openly is an essential part of many scientific disciplines. The Journal of Cheminformatics is leading the way for rigorous, open cheminformatics in many ... [more ▼]

Abstract The ability to access chemical information openly is an essential part of many scientific disciplines. The Journal of Cheminformatics is leading the way for rigorous, open cheminformatics in many ways, but there remains room for improvement in primary areas. This letter discusses how both authors and the journal alike can help increase the FAIR ness (Findability, Accessibility, Interoperability, Reusability) of the chemical structural information in the journal. A proposed chemical structure template can serve as an interoperable Additional File format (already accessible ), made more findable by linking the DOI of this data file to the article DOI metadata, supporting further reuse . [less ▲]

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See detailSteps Towards Semantic Code Search
Kim, Kisub UL

Doctoral thesis (2021)

Code search can be a core activity in software development for enhancing productivity. Developers commonly reuse existing source code fragments by searching for codebases available in local or global ... [more ▼]

Code search can be a core activity in software development for enhancing productivity. Developers commonly reuse existing source code fragments by searching for codebases available in local or global repositories. Code search helps developers ease the implementation by supplying code snippets to reuse or understand specific concepts deeper during software development by providing various code snippets for the same tasks. In addition, reading real-world examples (the results of code search) is helpful for developers to make programs more reliable, faster, or secure as the examples have been tested and reused by many other developers. However, it is getting more challenging as the codebases are becoming larger since the large codebase can derive too many code candidates. Thus, the research community has invested substantial efforts in developing new techniques, combining methods, and applying more extensive data to improve the performance and efficiency of code search. Despite the significant efforts made by researchers in the field, code search still has many open problems that the community needs to address, such as lack of benchmarks, vocabulary mismatch (between natural language and source code), and low extensibility on programming languages. Our work focuses on the open issues and the momentum of the domain on semantic code search, which considers the meaning of the user query rather than concerning the syntactic similarity that most other studies have approached. The thesis begins with exploring general issues on code search by conducting a systematic literature review. The survey organizes and classifies the code search approaches with various directions such as learning-based, feedback-driven, dynamic techniques. It reveals insights and new research directions. Given the research directions by the survey, we concentrate on alleviating the vocabulary mismatch problem between free-form text query and source code to improve the overall performance of code search first. To understand the free-form text query, we leverage crowd knowledge. The survey also discovered that there are only a few code-to-code approaches and investigation on crowd-knowledge indicated there exists demand, especially on finding semantically similar source code, i.e., source code that is syntactically different but performs the same functionality. Therefore, we go further, reformulating the user code query with real-world code snippets. This allows catching the semantics from the source code. Given the semantic information, a user can search for desired source code by using their code fragments. In this context, the present dissertation aims to explore semantic code search by contributing to the following three building blocks: Review of state-of-the-art: Despite the growing interest in code search, a comprehensive survey or systematic literature review on the field of code search remains limited. We conducted a large-scale systematic literature review on the internet-scale code search. Our objective in this study was to devise a grounded approach to understand the procedure for the code search approach. We built an operational taxonomy on top of each procedure to categorize the approaches and provide insights on the selection of various approaches. Our investigation on the open issues from the literature guide researchers and practitioners to future research directions. CoCaBu: Source code terms such as method names and variable types are often different from conceptual words mentioned in a search query. This vocabulary mismatch problem can make code search inefficient. We presented COde voCABUlary (CoCaBu), an approach to resolving the vocabulary mismatch problem when dealing with free-form code search queries. Our approach leverages common developer questions and the associated expert answers to augment user queries with the relevant but missing structural code entities to improve matching relevant code examples within large code repositories. To instantiate this approach, we built GitSearch, a code search engine, on top of GitHub and Stack Overflow Q&A data. Experimental results, collected via several comparisons against the state-of-the-art code search and existing online search engines such as Google, show that CoCaBu provides qualitatively better results. Furthermore, our live study on the developer community indicates that it can retrieve acceptable or attractive answers for their questions. FaCoY: Most existing approaches focus on serving user queries provided as natural language free-form input. However, there exists a wide range of use-case scenarios where a code-to-code approach would be most beneficial. For example, research directions in code transplantation, code diversity, patch recommendation can leverage a code-to-code search engine to find essential ingredients for their techniques. Given the wide range of use-case for code-to-code search, we propose FaCoY, a novel approach for statically finding code snippets that may be semantically similar to user input code. FaCoY implements a query alternation strategy: instead of directly matching code query tokens with code in the search space, FaCoY first attempts to identify other tokens, which may also be relevant in implementing the functional behavior of the input code. The experimental results show that FaCoY is more effective than all the existing online code-to-code search engines, and it can also be used to find semantic code clones (i.e., Type-4). Moreover, the results proved that FaCoY could be helpful in code/patch recommendation. [less ▲]

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See detailEarly Career Researchers in Digital Medieval Studies: A Round Table Discussion
Busch, Hannah; Dubuisson, Bastien UL; Davies, Helen et al

Presentation (2021, July 06)

As a relatively young and constantly emerging field, the Digital Humanities (DH) encompasses a large group of early career researchers with different backgrounds and diverse career paths. Digital Medieval ... [more ▼]

As a relatively young and constantly emerging field, the Digital Humanities (DH) encompasses a large group of early career researchers with different backgrounds and diverse career paths. Digital Medieval Studies as a subfield of DH is characterised by various disciplines as well as a high number of international collaborations and is populated by scholars with different educational backgrounds: from scholars trained as medievalists who implemented digital components only during their postgrad studies to scholars who approached medieval studies through their technical skills. This round table discussion brings together early career scholars from this domain on the border between traditional humanities research and DH to discuss the challenges and opportunities of their diverse career paths. [less ▲]

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See detailFrom Hume to Wuhan: An Epistemological Journey on the Problem of Induction in COVID-19 Machine Learning Models and its Impact Upon Medical Research
Vega Moreno, Carlos Gonzalo UL

in IEEE Access (2021), 9

Advances in computer science have transformed the way artificial intelligence is employed in academia, with Machine Learning (ML) methods easily available to researchers from diverse areas thanks to ... [more ▼]

Advances in computer science have transformed the way artificial intelligence is employed in academia, with Machine Learning (ML) methods easily available to researchers from diverse areas thanks to intuitive frameworks that yield extraordinary results. Notwithstanding, current trends in the mainstream ML community tend to emphasise <italic>wins</italic> over knowledge, putting the scientific method aside, and focusing on maximising metrics of interest. Methodological flaws lead to poor justification of method choice, which in turn leads to disregard the limitations of the methods employed, ultimately putting at risk the translation of solutions into real-world clinical settings. This work exemplifies the impact of the problem of induction in medical research, studying the methodological issues of recent solutions for computer-aided diagnosis of COVID-19 from chest X-Ray images. [less ▲]

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