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See detailA transdiagnostic dimensional approach towards a neuropsychological assessment for addiction: an international Delphi consensus study.
Yucel, Murat; Oldenhof, Erin; Ahmed, Serge et al

in Addiction (Abingdon, England) (in press)

BACKGROUND: The U.S. National Institutes of Mental Health Research Domain Criteria (RDoC) seek to stimulate research into biologically validated neuropsychological dimensions across mental illness ... [more ▼]

BACKGROUND: The U.S. National Institutes of Mental Health Research Domain Criteria (RDoC) seek to stimulate research into biologically validated neuropsychological dimensions across mental illness symptoms and diagnoses. The RDoC framework comprises 39 functional constructs designed to be revised and refined, with the overall goal to improve diagnostic validity and treatments. This study aimed to reach a consensus among experts in the addiction field on the 'primary' RDoC constructs most relevant to substance and behavioural addictions. METHODS: Forty-four addiction experts were recruited from Australia, Asia, Europe and the Americas. The Delphi technique was used to determine a consensus as to the degree of importance of each construct in understanding the essential dimensions underpinning addictive behaviours. Expert opinions were canvassed online over three rounds (97% completion rate), with each consecutive round offering feedback for experts to review their opinions. RESULTS: Seven constructs were endorsed by >/=80% of experts as 'primary' to the understanding of addictive behaviour: five from the Positive Valence System (Reward Valuation, Expectancy, Action Selection, Reward Learning, Habit); one from the Cognitive Control System (Response Selection/Inhibition); and one expert-initiated construct (Compulsivity). These constructs were rated to be differentially related to stages of the addiction cycle, with some more closely linked to addiction onset, and others more to chronicity. Experts agreed that these neuropsychological dimensions apply across a range of addictions. CONCLUSIONS: The study offers a novel and neuropsychologically informed theoretical framework, as well as a cogent step forward to test transdiagnostic concepts in addiction research, with direct implications for assessment, diagnosis, staging of disorder, and treatment. [less ▲]

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See detailGender differences in gambling preferences and problem gambling: a network-level analysis
Baggio, Stéphanie; Gainsbury, Sally M; Starcevic, Vladan et al

in International Gambling Studies (in press)

Most gambling studies have a gender-blind research approach, although a large body of scientific evidence suggests that gambling in females is on the rise and that males and females have different ... [more ▼]

Most gambling studies have a gender-blind research approach, although a large body of scientific evidence suggests that gambling in females is on the rise and that males and females have different gambling behaviours and experience specific gambling-related harm. This study addressed these gender differences using a network analysis, an innovative approach considering disorders/concepts as dynamic systems of interacting symptoms/items. Data on gambling activities, problem gambling, substance use and mental health were collected in a representative sample of French adult gamblers (n = 8805). The study capitalized on the network analysis directly to compare associations of specific gambling activities with gambling disorder symptoms separately for both genders. The network analysis revealed that problem gambling was strongly associated with gambling machines among females, whereas it was related to sports betting, poker and casino games among males. The networks that included substance use and mental health showed that substance use was related to specific gambling activities. These findings confirm the links between various gender specific gambling patterns and problem gambling and suggest a need to consider these gender differences to improve prevention efforts. More broadly, the present study further supports the importance of gender differences for gambling research and policy. [less ▲]

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See detailThe Reflection of Data-Driven Value Creation in the 2018 OECD and EU Proposals
Sinnig, Julia UL

in EC Tax Review (in press)

Is the current corporate tax system fit for the digitalized economy? The 2018 interim report of the OECD and the proposals of the European Commission on the introduction of significant digital presence ... [more ▼]

Is the current corporate tax system fit for the digitalized economy? The 2018 interim report of the OECD and the proposals of the European Commission on the introduction of significant digital presence and a digital services tax give new insights into policymakers’ perception of ‘value creation’ and income generation in digitalized business models. Although the right way to tax digitalized business models seems disputed with regard to the diverging outcomes of the OECD’s and European Commission’s work so far, it seems to be of common understanding that user data are susceptible of establishing a taxable nexus. In a first step, this article aims at analysing how the collection and processing of user data may create such genuine link between an income generating activity and a state territory enabling this state to exercise its taxing right. In that respect, the concept of value creation, a driving concept in the discussion on how to tax digitalized businesses, is critically reviewed and an attempt to understand its real meaning is presented. In a second step, the article analyses to which extent the long- and short-term proposals of the European Commission reflect such data-driven (taxable) value creation, critically highlighting their main characteristics and flaws. [less ▲]

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See detailHomotopical algebraic context over differential operators
Di Brino, Gennaro; Pistalo, Damjan UL; Poncin, Norbert UL

in Journal of Homotopy and Related Structures (in press)

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See detailTeacher Attitudes towards Ethnic Minority Students: Effects of Schools´ Cultural Diversity
Glock, Sabine UL; Kovacs, Carrie UL; Pit-Ten Cate, Ineke UL

in British Journal of Educational Psychology (in press)

Background: Research exploring mechanisms driving inequalities in school systems, has found that biased teacher judgments contribute to observed disadvantages for ethnic minority students. Teacher ... [more ▼]

Background: Research exploring mechanisms driving inequalities in school systems, has found that biased teacher judgments contribute to observed disadvantages for ethnic minority students. Teacher judgments may be driven by explicit and implicit attitudes. Aims: The current research explored the effect of cultural diversity at schools (actual or imagined) on teachers’ attitudes toward ethnic minority students. Samples: One hundred and-five preservice teachers (90 female) with a mean age 26.20 of years (teaching experience: 57.55 weeks) participated in Study 1. Two hundred and thirty-one teachers (159 female) with a mean age of 41.00 years (teaching experience: 12.92 years) participated Study 2. Method: Cultural diversity was operationalized via a fictive description of a school (Study 1) or via the actual proportion of ethnic minority students at the school (Study 2). An Implicit Association Test assessed implicit attitudes toward ethnic minority students. Explicit attitudes were assessed via questionnaire. Results: Preservice teachers imagining a more culturally diverse school held more negative implicit attitudes toward ethnic minority students than those imagining a less diverse school. In contrast, in-service teachers actually working in more diverse schools held less negative implicit attitudes toward minority students. Preservice teachers associated teaching in culturally diverse schools with increased effort, whereas in-service teachers actually working in culturally diverse schools reported more enthusiasm toward teaching ethnic minority students. Conclusions: This research shows the challenge and the negative stereotypes preservice teachers associate with culturally diverse schools, while inservice teachers’ negative associations may be buffered by the actual experience of working with ethnic minority students. [less ▲]

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See detailAn Empirical Evaluation of Evolutionary Algorithms for Unit Test Suite Generation
Campos, Jose; Ge, Yan; Albunian, Nasser et al

in Information and Software Technology (in press)

Context: Evolutionary algorithms have been shown to be e ective at generating unit test suites optimised for code coverage. While many speci c aspects of these algorithms have been evaluated in detail (e ... [more ▼]

Context: Evolutionary algorithms have been shown to be e ective at generating unit test suites optimised for code coverage. While many speci c aspects of these algorithms have been evaluated in detail (e.g., test length and di erent kinds of techniques aimed at improving performance, like seeding), the in uence of the choice of evolutionary algorithm has to date seen less attention in the literature. Objective: Since it is theoretically impossible to design an algorithm that is the best on all possible problems, a common approach in software engineering problems is to rst try the most common algorithm, a Genetic Algorithm, and only afterwards try to re ne it or compare it with other algorithms to see if any of them is more suited for the addressed problem. The objective of this paper is to perform this analysis, in order to shed light on the in uence of the search algorithm applied for unit test generation. Method: We empirically evaluate thirteen di erent evolutionary algorithms and two random approaches on a selection of non-trivial open source classes. All algorithms are implemented in the EvoSuite test generation tool, which includes recent optimisations such as the use of an archive during the search and optimisation for multiple coverage criteria. Results: Our study shows that the use of a test archive makes evolutionary algorithms clearly better than random testing, and it con rms that the DynaMOSA many-objective search algorithm is the most e ective algorithm for unit test generation. Conclusions: Our results show that the choice of algorithm can have a substantial in uence on the performance of whole test suite optimisation. Although we can make a recommendation on which algorithm to use in practice, no algorithm is clearly superior in all cases, suggesting future work on improved search algorithms for unit test generation [less ▲]

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See detailTeacher expectations concerning students with immigrant background or special educational needs
Pit-Ten Cate, Ineke UL; Glock, Sabine UL

in Journal of Educational Research and Evaluation (in press)

Male students with immigrant backgrounds are disproportionally referred for special educational support outside regular classrooms or schools, which may reflect differential teachers´ expectations ... [more ▼]

Male students with immigrant backgrounds are disproportionally referred for special educational support outside regular classrooms or schools, which may reflect differential teachers´ expectations concerning the academic achievement of students based on socio-demographic characteristics. Although research has indicated differential teachers´ expectations for students based on immigrant background or special educational needs (SEN), less is known about a possible double vulnerability associated with combined stereotypes. Therefore, in the current study both SEN and immigrant background were systematically varied and teachers were asked to rate the students´ academic achievement. Results show that teachers´ expectations of students with SEN and immigrant background was lower than for students without immigrant background, especially in regards to language proficiency. These results may help to explain the overrepresentation of students with immigrant background in special educational programs. The educational and theoretical implications of these findings are discussed. [less ▲]

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See detailMaintenance location routing for rolling stock under line and fleet planning uncertainty
Arts, Joachim UL; Tönissen, Denise; Shen, Zuo-Jun

in Transportation Science (in press)

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See detailNew synthetic opioids: Part of a new addiction landscape.
Karila, Laurent; Marillier, Maude; Chaumette, Boris et al

in Neuroscience and biobehavioral reviews (in press)

Synthetic opioids (SO) are a major risk for public health across the world. These drugs can be divided into 2 categories, pharmaceutical and non-pharmaceutical fentanyls. A new generation of SO has ... [more ▼]

Synthetic opioids (SO) are a major risk for public health across the world. These drugs can be divided into 2 categories, pharmaceutical and non-pharmaceutical fentanyls. A new generation of SO has emerged on the drug market since 2010. North America is currently facing an opioid epidemic of morbi-mortality, caused by over-prescription of opioids, illegally diverted prescribed medicines, the increasing use of heroin, is and the emergence of SO. Furthermore, this opioid crisis is also seen in Europe. SO are new psychoactive substances characterized by different feature such as easy availability on the Internet, low price, purity, legality, and lack of detection in laboratory tests. They have not been approved or are not recommended for human use. Opioid misuse is associated with somatic and psychiatric complications. For many substances, limited pharmacological information is available, increasing the risk of harmful adverse events. Health actors and the general population need to be clearly informed of the potential risks and consequences of the diffusion and use of SO. [less ▲]

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See detailSelfitis and behavioural addiction: A plea for terminological and conceptual rigour.
Starcevic, Vladan; Billieux, Joël UL; Schimmenti, Adriano

in The Australian and New Zealand journal of psychiatry (in press)

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See detailDoes “forced abstinence” from gaming lead to pornography use? Insight from the April 2018 crash of Fortnite’s servers
Castro-Calvo, Jesús; Ballester-Arnal, Rafael; Potenza, Marc et al

in Journal of Behavioral Addictions (in press)

In April 2018, the servers of the popular video game “Fortnite” crashed for 24 hr. During this period, Pornhub (a popular pornographic website) analyzed trends in pornography access, finding that: (a) the ... [more ▼]

In April 2018, the servers of the popular video game “Fortnite” crashed for 24 hr. During this period, Pornhub (a popular pornographic website) analyzed trends in pornography access, finding that: (a) the percentage of gamers accessing Pornhub increased by 10% and (b) the searches of pornographic videos using the key term “Fortnite” increased by 60%. In this letter, we discuss these observations in the context of ongoing debate regarding the validity of “withdrawal” when applied to problematic involvement in video gaming and the potential use of pornography as a “compensation behavior” during the periods of “forced abstinence” from gaming. [less ▲]

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See detailIdentifying elastoplastic parameters with Bayes' theorem considering double error sources and model uncertainty
Rappel, Hussein UL; Beex, Lars UL; Noels, Ludovic et al

in Probabilistic Engineering Mechanics (in press)

We discuss Bayesian inference for the identi cation of elastoplastic material parameters. In addition to errors in the stress measurements, which are commonly considered, we furthermore consider errors in ... [more ▼]

We discuss Bayesian inference for the identi cation of elastoplastic material parameters. In addition to errors in the stress measurements, which are commonly considered, we furthermore consider errors in the strain measurements. Since a difference between the model and the experimental data may still be present if the data is not contaminated by noise, we also incorporate the possible error of the model itself. The three formulations to describe model uncertainty in this contribution are: (1) a random variable which is taken from a normal distribution with constant parameters, (2) a random variable which is taken from a normal distribution with an input-dependent mean, and (3) a Gaussian random process with a stationary covariance function. Our results show that incorporating model uncertainty often, but not always, improves the results. If the error in the strain is considered as well, the results improve even more. [less ▲]

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See detailRevisiting Gaussian Mixture Models for Driver Identification
Jafarnejad, Sasan UL; Castignani, German UL; Engel, Thomas UL

in Proceedings of IEEE International Conference on Vehicular Electronics and Safety (ICVES) (ICVES 2018) (in press)

The increasing penetration of connected vehicles nowadays has enabled driving data collection at a very large scale. Many telematics applications have been also enabled from the analysis of those datasets ... [more ▼]

The increasing penetration of connected vehicles nowadays has enabled driving data collection at a very large scale. Many telematics applications have been also enabled from the analysis of those datasets and the usage of Machine Learning techniques, including driving behavior analysis predictive maintenance of vehicles, modeling of vehicle health and vehicle component usage, among others. In particular, being able to identify the individual behind the steering wheel has many application fields. In the insurance or car-rental market, the fact that more than one driver make use of the vehicle generally triggers extra fees for the contract holder. Moreover being able to identify different drivers enables the automation of comfort settings or personalization of advanced driver assistance (ADAS) technologies. In this paper, we propose a driver identification algorithm based on Gaussian Mixture Models (GMM). We show that only using features extracted from the gas pedal position and steering wheel angle signals we are able to achieve near 100 accuracy in scenarios with up to 67 drivers. In comparison to the state-of-the-art, our proposed methodology has lower complexity, superior accuracy and offers scalability to a larger number of drivers. [less ▲]

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See detailRevisiting Deniability in Quantum Key Exchange via Covert Communication and Entanglement Distillation
Atashpendar, Arash UL; Policharla, Guru Vamsi; Roenne, Peter UL et al

in Secure IT Systems, 23rd Nordic Conference, NordSec 2018 (in press)

We revisit the notion of deniability in quantum key exchange (QKE), a topic that remains largely unexplored. In the only work on this subject by Donald Beaver, it is argued that QKE is not necessarily ... [more ▼]

We revisit the notion of deniability in quantum key exchange (QKE), a topic that remains largely unexplored. In the only work on this subject by Donald Beaver, it is argued that QKE is not necessarily deniable due to an eavesdropping attack that limits key equivocation. We provide more insight into the nature of this attack and how it extends to other constructions such as QKE obtained from uncloneable encryption. We then adopt the framework for quantum authenticated key exchange, developed by Mosca et al., and extend it to introduce the notion of coercer-deniable QKE, formalized in terms of the indistinguishability of real and fake coercer views. Next, we apply results from a recent work by Arrazola and Scarani on covert quantum communication to establish a connection between covert QKE and deniability. We propose DC-QKE, a simple deniable covert QKE protocol, and prove its deniability via a reduction to the security of covert QKE. Finally, we consider how entanglement distillation can be used to enable information-theoretically deniable protocols for QKE and tasks beyond key exchange. [less ▲]

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See detailChallenges in completing EMU: asymmetric competition vs fiscal harmonisation. A case study of the Benelux countries
Danescu, Elena UL

in Journal of Contemporary European Research [=JCER] (2019)

This paper aims to investigate the concept, context and socio-economic consequences of fiscal competition in the integrated economic space of EMU in completion, to pinpoint the positive and negative ... [more ▼]

This paper aims to investigate the concept, context and socio-economic consequences of fiscal competition in the integrated economic space of EMU in completion, to pinpoint the positive and negative factors at work via a case study of the Benelux countries – both founder members of the EU and pioneers of EMU – and to examine the impact on European and international regulations in the field. In particular, it will endeavour to provide a comprehensive interpretation of fiscal policy in the Benelux countries via a comparative approach and from a historical perspective. It will look at the development of respective domestic fiscal policies, driven by national interests and by membership of a Community that is subject to requirements in terms of harmonisation and taxation, but also by constant contact (and frequent clashes) with the multilateral international environment. [less ▲]

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See detailSimultaneous finite element analysis of circuit-integrated piezoelectric energy harvesting from fluid-structure interaction
Ravi, Srivathsan; Zilian, Andreas UL

in Mechanical Systems & Signal Processing (2019), 114

Flow-driven piezoelectric energy harvesting is a strongly coupled multiphysics phenomenon that involves complex three-way interaction between the fluid flow, the electromechanical effect of the ... [more ▼]

Flow-driven piezoelectric energy harvesting is a strongly coupled multiphysics phenomenon that involves complex three-way interaction between the fluid flow, the electromechanical effect of the piezoelectric material mounted on a deformable substrate structure and the controlling electrical circuit. High fidelity computational solution approaches are essential for the analysis of flow-driven energy harvesters in order to capture the main physical aspects of the coupled problem and to accurately predict the power output of a harvester. While there are some phenomenological and numerical models for flow-driven harvesters reported in the literature, a fully three-dimensional strongly coupled model has not yet been developed, especially in the context of flow-driven energy harvesting. The weighted residuals method is applied to establish a mixed integral equation describing the incompressible Newtonian flow, elastic substrate structure, piezoelectric patch, equipotential electrode and attached electric circuit that form the multiphysics fluid-structure interaction problem. A monolithic numerical solution method is derived that provides consistent and simultaneous solution to all physical fields as well as to fluid mesh deformation. The approximate solution is based on a mixed space-time finite element discretization with static condensation of the auxiliary fields. The discontinuous Galerkin method is utilized for integrating the monolithic model in time. The proposed solution scheme is illustrated in the example of a lid driven cavity with a flexible piezoelectric bottom wall, demonstrating quantification of the amount of electrical energy extractable from fluid flow by means of a piezoelectric harvester device. The results indicate that in order to make reliable predictions on the power output under varying operational states, the realization of strong multiphysics coupling is required for the mathematical model as well as the numerical solution scheme to capture the characteristics of flow-driven energy harvesters. [less ▲]

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See detailReductions of elliptic curves
Perucca, Antonella UL

in Proceedings of the Roman Number Theory Association (2019), 4

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See detailStriking a balance between competitiveness and social fairness: what can we expect from the European Pillar of Social Rights?
Muñoz, Susana UL

in Chiocchetti, Paolo; Allemand, Frédéric (Eds.) Competitiveness and Solidarity in the European Union: Interdisciplinary Perspectives (2019)

The solemnly proclaimed European Pillar of Social Rights provides a meaningful response to the process of building a deeper, fairer European Union in the aftermath of the crisis. This chapter aims to ... [more ▼]

The solemnly proclaimed European Pillar of Social Rights provides a meaningful response to the process of building a deeper, fairer European Union in the aftermath of the crisis. This chapter aims to provide a critical assessment of the nature, scope, rationale, purpose, content and effectiveness of the Pillar in the light of its potential contribution to foster social fairness and competitiveness in the EU. The Pillar complements and develops the EU’s social acquis and reinforces standards which may provide a fairer and more socially-balanced competitiveness in the EU. Progress has been made, but further efforts are needed to build a sense of common purpose to strengthen the social foundations of the Union. [less ▲]

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See detailA Pedagogical Note on Risk Sharing Versus Instability in International Financial Integration: When Obstfeld Meets Stiglitz
Boucekkine, Raouf; Zou, Benteng UL

in Open Economies Review (2019)

The pure risk sharing mechanism implies that financial liberalization is growth enhancing for all countries as the world portfolio shifts from safe low-yield capital to riskier high-yield capital. This ... [more ▼]

The pure risk sharing mechanism implies that financial liberalization is growth enhancing for all countries as the world portfolio shifts from safe low-yield capital to riskier high-yield capital. This result is typically obtained under the assumption that the volatilities for risky assets prevailing under autarky are not altered after liberalization. We relax this assumption within a simple two-country model of intertemporal portfolio choices. By doing so, we put together the risk sharing effect and a well defined instability effect. We identify the conditions under which liberalization may cause a drop in growth. These conditions combine the typical threshold conditions outlined in the literature, which concern the deep characteristics of the economies, and size conditions on the instability effect induced by liberalization. [less ▲]

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See detailClimate politics: how public persuasion affects the trade-off between environmental and economic performance
Prieur, Fabien; Zou, Benteng UL

in Mathematical Social Sciences (2019)

This paper aims at studying the impact of public persuasion, through information dissemination, on environmental and economic performance. A differential game in which opposite interest groups compete for ... [more ▼]

This paper aims at studying the impact of public persuasion, through information dissemination, on environmental and economic performance. A differential game in which opposite interest groups compete for bringing the majority’s environmental concern closer to their views is developed. The results show a strong asymmetry in the impact of public persuasion. It may bring the median voter economy closer to the social optimum in the long run, thereby reducing environmental and economic distorsions. But this only occurs when the environmental group exhibits a radical ideology and people are initially closer to the industrialists’ views. By contrast, economies where industrial groups are powerful and strongly opposed to environmental protection never benefit from the outcome of the game of persuasion. This may explain why the US have failed to take action on global warming up to now. [less ▲]

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