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See detailIncome-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions
Peng, Nie; Clark, Andrew; d'Ambrosio, Conchita UL et al

in Health and Place (in press)

Unprecedented economic growth has been experienced over the several decades worldwide, but such rapid economic growth wasn’t accompanied by equally-substantial improvement in health, especially health ... [more ▼]

Unprecedented economic growth has been experienced over the several decades worldwide, but such rapid economic growth wasn’t accompanied by equally-substantial improvement in health, especially health inequalities between the rich and poor. This study examines the role of housing in income-related health inequalities (income-health gradient) in urban China. We here analyze 1991-2015 China Health and Nutrition Survey data to ask how housing affects income-related health inequalities in urban China. We find pro-poor inequalities in self-reported bad health but pro-rich inequalities in objective bad health (general overweight/obesity, central obesity and high blood pressure). Housing conditions serve to reduce the health gradient, especially for objective health. On the contrary, homeownership exacerbates the health gradient. Improving housing conditions thus appears to be an effective way of reducing the income-health gradient in urban China. [less ▲]

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See detailStatus and Enforceability of EU International Agreements within the Domestic Legal Systems of the Member States: Kupferberg
Neframi, Eleftheria UL

in Wessel, Ramses; Butler, Graham (Eds.) EU External Relations Law: The Cases in Context (in press)

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See detailUrbanicity, behavior problems and HPA axis regulation in preschoolers
Effenberger, Pauline; Send, Tabea; Gilles, Maria et al

in Psychoneuroendocrinology (in press)

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See detailComparative administrative law in the EU: the integration function and its limits
Mendes, Joana UL

in Bartl, Marija; Lawrence, Jessica (Eds.) The Politics of European Legal Research. Behind the Method (in press)

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See detailInstitutionalism and Comparative Administrative Law Beyond the Liberal State: Extrapolations from Santi Romano as seen by D’Alberti
Mendes, Joana UL

in VV., AA. (Ed.) Liber Amicorum Marco D’Alberti (in press)

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See detailCommon Universal Meromorphic Functions for Translation and Dilation Mappings
Meyrath, Thierry UL

in Computational Methods and Function Theory (in press)

We consider translation and dilation mappings acting on the spaces of meromorphic functions on the complex plane and the punctured complex plane, respectively. In both cases, we show that there is a dense ... [more ▼]

We consider translation and dilation mappings acting on the spaces of meromorphic functions on the complex plane and the punctured complex plane, respectively. In both cases, we show that there is a dense $G_{\delta}$-subset of meromorphic functions that are common universal for certain uncountable families of these mappings. While a corresponding result for translations exists for entire functions, our result for dilations has no holomorphic counterpart. We further obtain an analogue of Ansari’s Theorem for the mappings we consider, which is used as a key tool in the proofs of our main results. [less ▲]

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See detailUnpacking Tourism in the Cold War: International Tourism and Commercialism in Socialist Romania, 1960s-1980s
Stefan, Oana Adelina UL

in Contemporary European History (in press)

The role of market oriented tourist policies in the planned economies of socialist Eastern Europe has been long overlooked. This article examines how the socialist regime in Romania moved from sheer ... [more ▼]

The role of market oriented tourist policies in the planned economies of socialist Eastern Europe has been long overlooked. This article examines how the socialist regime in Romania moved from sheer ideological rhetoric to commercialism and market-driven strategies when promoting Romania as a tourist destination in the ‘West’ between the 1960s and the 1980s. It argues that there was a continual shifting between using tourism as an ideological tool and a certain pragmatism that was needed to turn Romania into a desirable tourist destination. [less ▲]

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See detailProcedural Principles
Hofmann, Herwig UL

in Ziegler, Katja (Ed.) General Principles of EU Law, Oxford University Press (in press)

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See detailThe DLT Sandbox under the Pilot-Regulation
Zetzsche, Dirk Andreas UL; Woxholth, Jannik Per UL

in Capital Markets Law Journal (in press)

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See detailGuidelines for Assessing the Accuracy of Log Message Template Identification Techniques
Khan, Zanis Ali UL; Shin, Donghwan UL; Bianculli, Domenico UL et al

in Proceedings of the 44th International Conference on Software Engineering (ICSE ’22) (in press)

Log message template identification aims to convert raw logs containing free-formed log messages into structured logs to be processed by automated log-based analysis, such as anomaly detection and model ... [more ▼]

Log message template identification aims to convert raw logs containing free-formed log messages into structured logs to be processed by automated log-based analysis, such as anomaly detection and model inference. While many techniques have been proposed in the literature, only two recent studies provide a comprehensive evaluation and comparison of the techniques using an established benchmark composed of real-world logs. Nevertheless, we argue that both studies have the following issues: (1) they used different accuracy metrics without comparison between them, (2) some ground-truth (oracle) templates are incorrect, and (3) the accuracy evaluation results do not provide any information regarding incorrectly identified templates. In this paper, we address the above issues by providing three guidelines for assessing the accuracy of log template identification techniques: (1) use appropriate accuracy metrics, (2) perform oracle template correction, and (3) perform analysis of incorrect templates. We then assess the application of such guidelines through a comprehensive evaluation of 14 existing template identification techniques on the established benchmark logs. Results show very different insights than existing studies and in particular a much less optimistic outlook on existing techniques. [less ▲]

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See detailEuropäisches Kapitalmarktrecht: Intermediärsrecht
Zetzsche, Dirk Andreas UL; Preiner, Christina

in Hatje/Müller-Graf (Ed.) in Encyklopedia on European Law, Vol. VIII (in press)

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See detailEfficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization
Ul Haq, Fitash UL; Shin, Donghwan UL; Briand, Lionel UL

in Proceedings of the 44th International Conference on Software Engineering (ICSE ’22) (in press)

With the recent advances of Deep Neural Networks (DNNs) in real-world applications, such as Automated Driving Systems (ADS) for self-driving cars, ensuring the reliability and safety of such DNN- enabled ... [more ▼]

With the recent advances of Deep Neural Networks (DNNs) in real-world applications, such as Automated Driving Systems (ADS) for self-driving cars, ensuring the reliability and safety of such DNN- enabled Systems emerges as a fundamental topic in software testing. One of the essential testing phases of such DNN-enabled systems is online testing, where the system under test is embedded into a specific and often simulated application environment (e.g., a driving environment) and tested in a closed-loop mode in interaction with the environment. However, despite the importance of online testing for detecting safety violations, automatically generating new and diverse test data that lead to safety violations present the following challenges: (1) there can be many safety requirements to be considered at the same time, (2) running a high-fidelity simulator is often very computationally-intensive, and (3) the space of all possible test data that may trigger safety violations is too large to be exhaustively explored. In this paper, we address the challenges by proposing a novel approach, called SAMOTA (Surrogate-Assisted Many-Objective Testing Approach), extending existing many-objective search algorithms for test suite generation to efficiently utilize surrogate models that mimic the simulator, but are much less expensive to run. Empirical evaluation results on Pylot, an advanced ADS composed of multiple DNNs, using CARLA, a high-fidelity driving simulator, show that SAMOTA is significantly more effective and efficient at detecting unknown safety requirement violations than state-of-the-art many-objective test suite generation algorithms and random search. In other words, SAMOTA appears to be a key enabler technology for online testing in practice. [less ▲]

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See detailDeux visions du Saint-Empire : Jacques Dex et Vigneulles
Lazzari, Antoine UL

in Dauphant, Léonard (Ed.) Metz 1500 : Pouvoir, société et culture urbaine au temps de Philippe de Vigneulles (in press)

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See detailThe CEO beauty premium: Founder CEO attractiveness and firm valuation in initial coin offerings
Colombo, Massimo; Fisch, Christian UL; Momtaz, Paul et al

in Strategic Entrepreneurship Journal (in press)

We apply insights from research in social psychology and labor economics to the domain of entrepreneurial finance and investigate how founder chief executive officers' (founder CEOs') facial ... [more ▼]

We apply insights from research in social psychology and labor economics to the domain of entrepreneurial finance and investigate how founder chief executive officers' (founder CEOs') facial attractiveness influences firm valuation. Leveraging the novel context of initial coin offerings (ICOs), we document a pronounced founder CEO beauty premium, with a positive relationship between founder CEO attractiveness and firm valuation. We find only very limited evidence of stereotype-based evaluations, through the association of founder CEO attractiveness with latent traits such as competence, intelligence, likeability, or trustworthiness. Rather, attractiveness seems to bear economic value per se, especially in a context in which investors base their decisions on a limited information set. Indeed, attractiveness has a sustainable effect on post-ICO performance. [less ▲]

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See detailHistorical institutional differences and entrepreneurship: socialist legacy in Vietnam
Fisch, Christian UL; Wyrwich, Michael; Nguyen, Thi Lanh et al

in International Review of Entrepreneurship (in press)

We study the case of Vietnam to assess the long-lasting role of institutional and historical legacy on entrepreneurial outcomes. In particular, we investigate the detrimental effect of socialist ... [more ▼]

We study the case of Vietnam to assess the long-lasting role of institutional and historical legacy on entrepreneurial outcomes. In particular, we investigate the detrimental effect of socialist institutions on entrepreneurship. Vietnam offers a unique quasi-experimental setting because the country was divided into the socialist North and the nonsocialist South for a relatively short period of two decades. After reunification, the South adopted the institutional framework conditions of the North. To assess the relationship between socialist history and entrepreneurship in this unique setting, we survey more than 3,000 North and South Vietnamese individuals more than four decades after the reunification of the country. We find that North Vietnamese respondents have lower entrepreneurship intentions, are less likely to select into entrepreneurship education programs, and are less willing to engage in a business takeover. These patterns indicate the persistence of historical differences in institutional framework conditions on entrepreneurship. We conclude by outlining the implications of a socialist legacy for entrepreneurship theory and policymakers. [less ▲]

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See detailAutomated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study
Ezzini, Saad UL; Abualhaija, Sallam UL; Arora, Chetan et al

in In Proceedings of the 44th International Conference on Software Engineering (ICSE'22), Pittsburgh, PA, USA 22-27 May 2022 (in press)

Ambiguity is a pervasive issue in natural-language requirements. A common source of ambiguity in requirements is when a pronoun is anaphoric. In requirements engineering, anaphoric ambiguity occurs when a ... [more ▼]

Ambiguity is a pervasive issue in natural-language requirements. A common source of ambiguity in requirements is when a pronoun is anaphoric. In requirements engineering, anaphoric ambiguity occurs when a pronoun can plausibly refer to different entities and thus be interpreted differently by different readers. In this paper, we develop an accurate and practical automated approach for handling anaphoric ambiguity in requirements, addressing both ambiguity detection and anaphora interpretation. In view of the multiple competing natural language processing (NLP) and machine learning (ML) technologies that one can utilize, we simultaneously pursue six alternative solutions, empirically assessing each using a collection of ~1,350 industrial requirements. The alternative solution strategies that we consider are natural choices induced by the existing technologies; these choices frequently arise in other automation tasks involving natural-language requirements. A side-by-side empirical examination of these choices helps develop insights about the usefulness of different state-of-the-art NLP and ML technologies for addressing requirements engineering problems. For the ambiguity detection task, we observe that supervised ML outperforms both a large-scale language model, SpanBERT (a variant of BERT), as well as a solution assembled from off-the-shelf NLP coreference resolvers. In contrast, for anaphora interpretation, SpanBERT yields the most accurate solution. In our evaluation, (1) the best solution for anaphoric ambiguity detection has an average precision of ~60% and a recall of 100%, and (2) the best solution for anaphora interpretation (resolution) has an average success rate of ~98%. [less ▲]

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See detailDoes blockchain technology democratize entrepreneurial finance? An empirical comparison of ICOs, venture capital, and REITs
Fisch, Christian UL; Meoli, Michele; Vismara, Silvio

in Economics of Innovation and New Technology (in press)

Initial coin offerings (ICOs) are one of the major innovations that characterize the digital revolution of financial markets. Among the expectations created by the digital revolution is the ... [more ▼]

Initial coin offerings (ICOs) are one of the major innovations that characterize the digital revolution of financial markets. Among the expectations created by the digital revolution is the democratization of entrepreneurial finance, defined in terms of the creation of more equality regarding the access to financial resources by categories known to be underrepresented among potential entrepreneurs. Following this line of research, we investigate, through two complementary empirical studies, whether gender, ethnicity, and geography affect the choice of ICOs vs. traditional financing alternatives. Additionally, we assess whether these characteristics increase the amount of money an entrepreneur can raise. In Study I, we compare 390 ICO ventures to a sample of 1,078 VC-backed blockchain ventures, identifying a negative correlation between the choice of an ICO (vs. VC-backing) and a location in an urban area. In Study II, we compare 160 ICO ventures to 163 real estate investment trusts (REITs), reaffirming the results of Study I. The findings show significant participation and likelihood of successful campaigns for ethnical minorities in ICOs, with the latter also being able to collect, ceteris paribus, larger amounts of funding. In contrast, female entrepreneurs do not have higher chances to participate nor raise funds in ICOs. [less ▲]

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See detailUncovering everyday dynamics in students’ perceptions of instructional quality with experience sampling
Talic, Irma UL; Scherer, Ronny; Marsh, Herbert W. et al

in Learning and Instruction (in press)

Detailed reference viewed: 45 (0 UL)