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See detailKilling Stubborn Mutants with Symbolic Execution
Titcheu Chekam, Thierry UL; Papadakis, Mike UL; Cordy, Maxime UL et al

in ACM Transactions on Software Engineering and Methodology (in press)

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See detailTest Selection for Deep Learning Systems
Ma, Wei UL; Papadakis, Mike UL; Tsakmalis, Anestis et al

in ACM Transactions on Software Engineering and Methodology (in press)

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See detailLa Charte dans l'action extérieure de l'Union européenne
Neframi, Eleftheria UL

in Iliopoulou Penot, Anastasia; Xenou, Lamprini (Eds.) La Charte des droits fondamentaux de l'UE (in press)

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See detailHyperbolic dispersion metasurfaces for molecular biosensing
Palermo, Giovanna; Sreekanth, Kandammathe Valiyaveedu; Maccaferri, Nicolò UL et al

in Nanophotonics (in press)

Sensor technology has become increasingly crucial in medical research and clinical diagnostics to directly detect small numbers of low-molecular-weight biomolecules relevant for lethal diseases. In recent ... [more ▼]

Sensor technology has become increasingly crucial in medical research and clinical diagnostics to directly detect small numbers of low-molecular-weight biomolecules relevant for lethal diseases. In recent years, various technologies have been developed, a number of them becoming core label-free technologies for detection of cancer biomarkers and viruses. However, to radically improve early disease diagnostics, tracking of disease progression and evaluation of treatments, today’s biosensing techniques still require a radical innovation to deliver high sensitivity, specificity, diffusion-limited transport, and accuracy for both nucleic acids and proteins. In this review, we discuss both scientific and technological aspects of hyperbolic dispersion metasurfaces for molecular biosensing. Optical metasurfaces have offered the tantalizing opportunity to engineer wavefronts while its intrinsic nanoscale patterns promote tremendous molecular interactions and selective binding. Hyperbolic dispersion metasurfaces support high-k modes that proved to be extremely sensitive to minute concentrations of ultralow-molecular-weight proteins and nucleic acids. [less ▲]

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See detailThe effects of age stereotypes on physical and mental health are mediated by self-perceptions of aging
Brothers, Allyson; Kornadt, Anna Elena UL; Nehrkorn-Bailey, Abigail et al

in Journals of Gerontology. Series B, Psychological Sciences and Social Sciences (in press)

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See detailIncome and Wealth Volatility: Evidence from Italy and the U.S. in the Past Two Decades
Menta, Giorgia UL; Wolff, Edward; d'ambrosio, Conchita UL

in Journal of Economic Inequality (in press)

Income volatility and wealth volatility are central objects of investigation for the literature on income and wealth inequality and dynamics. Here we analyse the two concepts in a comparative perspective ... [more ▼]

Income volatility and wealth volatility are central objects of investigation for the literature on income and wealth inequality and dynamics. Here we analyse the two concepts in a comparative perspective for the same individuals in Italy and the U.S. over the last two decades. We find that in both countries wealth volatility reaches significantly higher values than income volatility, the effect being mostly driven by changes in the market value of real estate assets. We also show that there is more volatility in both dimensions in the U.S. and that the overall trend in both countries is increasing over time. We conclude by exploring volatility in consumption. [less ▲]

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See detailCurrent directions in views on aging. Editorial for the Special Section.
Klusmann, Verena; Kornadt, Anna Elena UL

in European Journal of Ageing (in press)

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See detailDon't Trust Me, Test Me: 100% Code Coverage for a 3rd-party Android App
Pilgun, Aleksandr UL

in Pilgun, Aleksandr (Ed.) Don't Trust Me, Test Me: 100% Code Coverage for a 3rd-party Android App (in press)

The incompleteness of 3rd-party app testing is an accepted fact in Software Engineering. This issue makes it impossible to verify the app functionality and to confirm its safety to the end-user. To solve ... [more ▼]

The incompleteness of 3rd-party app testing is an accepted fact in Software Engineering. This issue makes it impossible to verify the app functionality and to confirm its safety to the end-user. To solve this problem, enterprises developed strict policies. A company, willing to use modern apps, may perform an expensive security analysis, rely on trust or forbid the app. These strategies may lead companies to high direct and indirect spending with no guarantee of safety. In this work, we present a novel approach, called Dynamic Binary Shrinking, that allows a user to review app functionality and leave only tested code. The shrunk app produces 100% instruction coverage on observed behaviors and in this way guarantees the absence of unexplored, and therefore, potentially malicious code. On our running examples, we demonstrate that apps use less than 20% of the codebase. We developed an approach and the ACVCut tool to shrink Android apps towards the executed code. Repository — http://github.com/pilgun/acvcut. [less ▲]

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See detailInternationales und Europäisches Steuerrecht
Sinnig, Julia UL

in Taeger, Jürgen; Pohle, Jan; Kilian, Wolfgang (Eds.) et al Computerrechts-Handbuch - Informationstechnologie in der Rechts- und Wirtschaftspraxi (in press)

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See detail"[I]ch bin gerne da, wo es gärt" Feridun Zaimoglu im Gespräch mit Natalie Bloch über seine Theaterarbeit
Bloch, Natalie UL

in Zeitschrift für Interkulturelle Germanistik (in press), 10(2), 97-105

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See detailChildhood Circumstances and Young Adulthood Outcomes: The Role of Mothers’ Financial Problems
Clark, Andrew; d'ambrosio, Conchita UL; Barazzetta, Marta

in Health Economics (in press)

We here consider the cognitive and non-cognitive consequences on young adults of growing up with a mother who reported experiencing major financial problems. We use UK data from the Avon Longitudinal ... [more ▼]

We here consider the cognitive and non-cognitive consequences on young adults of growing up with a mother who reported experiencing major financial problems. We use UK data from the Avon Longitudinal Study of Parents and Children to show that early childhood financial problems are associated with worse adolescent cognitive and non-cognitive outcomes, controlling for both income and a set of standard variables, and in value-added models controlling for children’s earlier age-5 outcomes. The estimated effect of financial problems is almost always larger in size than that of income. Around one-quarter to one-half of the effect of financial problems on the non-cognitive outcomes seems to transit through mother’s mental health. [less ▲]

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See detailEfficient Federated Learning Algorithm for Resource Allocation in Wireless IoT Networks
Nguyen, van Dinh UL; Sharma, Shree Krishna UL; Vu, Thang Xuan UL et al

in IEEE Internet of Things Journal (in press)

Federated learning (FL) allows multiple edge computing nodes to jointly build a shared learning model without having to transfer their raw data to a centralized server, thus reducing communication ... [more ▼]

Federated learning (FL) allows multiple edge computing nodes to jointly build a shared learning model without having to transfer their raw data to a centralized server, thus reducing communication overhead. However, FL still faces a number of challenges such as non-iid distributed data and heterogeneity of user equipments (UEs). Enabling a large number of UEs to join the training process in every round raises a potential issue of the heavy global communication burden. To address these issues, we generalize the current state-of-the-art Federated Averaging (FedAvg) by adding a weight-based proximal term to the local loss function. The proposed FL algorithm runs stochastic gradient descent in parallel on a sampled subset of the total UEs with replacement during each global round. We provide a convergence upper bound characterizing the trade-off between convergence rate and global rounds, showing that a small number of active UEs per round still guarantees convergence. Next, we employ the proposed FL algorithm in wireless Internet-of-Things (IoT) networks to minimize either total energy consumption or completion time of FL, where a simple yet efficient path-following algorithm is developed for its solutions. Finally, numerical results on unbalanced datasets are provided to demonstrate the performance improvement and robustness on the convergence rate of the proposed FL algorithm over FedAvg. They also reveal that the proposed algorithm requires much less training time and energy consumption than the FL algorithm with full user participation. These observations advocate the proposed FL algorithm for a paradigm shift in bandwidth- constrained learning wireless IoT networks. [less ▲]

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See detailMedia Technologies for a Better World: UNESCO’s Ethical Framework for Communication Infrastructures and Uses of Media after the Second World War
Priem, Karin UL; Sengsavang, Eng

in Atanasiu, Vlad; Chachereau, Nicolas; Sibille, Christiane (Eds.) Framing Innovation (in press)

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See detailVisual Presence and Interpretation: Two Dimensions of the Fight Against Illiteracy in Texts by Carlo Levi and Photographs by David Seymour (1950)
Priem, Karin UL

in Comas Rubí, Francisca; Priem, Karin; González Gómez, Sara (Eds.) Media Matter: Images as Presenters, Mediators, and Means of Observation (in press)

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See detailMedia Matter: Introduction
Comas Rubí, Francisca; Priem, Karin UL; González Gómez, Sara

in Comas Rubí, Francisca; Priem, Karin; González Gómez, Sara (Eds.) Media Matter: Images as Presenters, Mediators, and Means of Observation (in press)

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See detailMedia Matter: Images as Presenters, Mediators, and Means of Observation
Comas Rubí, Francisca; Priem, Karin UL; González Gómez, Sara

Book published by De Gruyter (in press)

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See detailSoziale Arbeit in der Inklusionsfalle. Terminologische Unbestimmtheit, ethischer Anspruch und neoliberale Wendung.
Limbach-Reich, Arthur UL

in Bütow, Birgit; Holztrattner, Melanie; Raithelhuber, Eberhard (Eds.) (Des-)Organisation und (Ent-)Institutionalisierung in der Sozialen Arbeit. (in press)

The analysis of the concept of inclusion in a scientific context and the inflationary classification of different practices as inclusive suggest a rethinking of inclusion as a guiding concept in social ... [more ▼]

The analysis of the concept of inclusion in a scientific context and the inflationary classification of different practices as inclusive suggest a rethinking of inclusion as a guiding concept in social work. Inclusion in the sociological sense means something other than the pedagogical postulate of education for all. Inclusion is sometimes understood as a method (inclusive education), sometimes as an ethical principle (human right) and sometimes as a global goal (the inclusive society). In the neoliberal model, inclusion represents a practice of obligation to contribute to economic growth and to comply with market requirements. Due to its proximity to the everyday life of the people, social work has a growing role to play in pointing out the tension between an inclusion promise in the front stage and a back stage on which social exclusion is legitimised. [less ▲]

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See detailNotes on the ECHR and the Disunited Kingdom 'After' Brexit - In Memoriam Scott Crosby
Robinson, Gavin UL

in New Journal of European Criminal Law (in press)

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See detailFamily, Community and Long-Term Socioeconomic Inequality: Evidence from Siblings and Youth Peers
Bingley, Paul; Cappellari, Lorenzo; Tatsiramos, Konstantinos UL

in Economic Journal (in press)

Using administrative data for the population of Danish men and women, we develop an empirical model which accounts for the joint earnings dynamics of siblings and youth community peers. We provide the ... [more ▼]

Using administrative data for the population of Danish men and women, we develop an empirical model which accounts for the joint earnings dynamics of siblings and youth community peers. We provide the first decomposition of the sibling correlation of permanent earnings into family and community effects allowing for life-cycle dynamics, and extend the analysis to consider other outcomes. We find that family is the most important factor influencing sibling correlations of earnings, education and unemployment. Community background matters for shaping the sibling correlation of earnings and unemployment early in the working life, but its importance quickly diminishes. [less ▲]

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