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See detailParental emotion and pain control behaviour when faced with child’s pain: the emotion regulatory role of parental pain-related attention-set shifting and heart rate variability
Vervoort, Tine; Karos, Kai; Johnson, Dan et al

in Pain (in press)

, The present study investigated the moderating role of parental pain-related attention-set shifting and heart rate variability (HRV) for parental distress and pain control behaviour when faced with their ... [more ▼]

, The present study investigated the moderating role of parental pain-related attention-set shifting and heart rate variability (HRV) for parental distress and pain control behaviour when faced with their child’s pain. Participants were 54 school children and one of their parents. Parental HRV was assessed at study commencement followed by a cued switching task indexing parental ability to flexibly shift attention between pain-related and neutral attentional sets. In a subsequent phase, parents observed their child perform a CPT task, allowing assessment of parental pain control behavior (indexed by latency to stop their child’s CPT performance) and parental distress – assessed via self-report following observation of child CPT performance. Findings indicated that parental facilitated attentional shifting (i.e., engage) towards a pain-related attentional set contributed to higher levels of pain control behaviour when faced with increasing levels of chid facial display of pain. Pain control behaviour amongst parents who demonstrated impeded attentional shifting to a pain-related attentional set was equally pronounced regardless of low or high levels of child pain expression. Parental ability to shift attention away (i.e., disengage) from a pain related set to a neutral set did not impact findings. Results further indicated that whereas high levels of parental HRV buffers the impact of child facial pain display upon parental emotional distress and pain control behaviour, low levels of HRV constitute a risk factor for higher levels of parental distress and pain control behaviour when faced with increased child facial pain display. Theoretical/clinical implications and further research directions are discussed. [less ▲]

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See detailHealth benefits of walking in nature: a randomized controlled study under conditions of real-life stress.
Olafsdottir, Gunnthora; Cloke, Paul; Schulz, André UL et al

in Environment & Behavior (in press)

We investigated the effects of recreational exposure to the natural environment on mood and psychophysiological responses to stress. We hypothesized that walking in nature has restorative effects over and ... [more ▼]

We investigated the effects of recreational exposure to the natural environment on mood and psychophysiological responses to stress. We hypothesized that walking in nature has restorative effects over and above the effects of exposure to nature scenes (viewing-nature-on-TV) or physical exercise alone (walking-on-a-treadmill-in-a-gym) and that these effects are greater when participants were expected to be more stressed. Healthy university students (N=90) were randomly allocated to 1 of 3 conditions and tested during an exam-free period and again during their exam time. Mood and psychophysiological responses were assessed before and after the interventions, and again after a laboratory stressor. All interventions had restorative effects on cortisol levels (p < .001), yet walking in nature resulted in lower cortisol levels than did nature viewing (p < .05) during the exam period. Walking in nature improved mood more than watching nature scenes (p < .001) or physical exercise alone (p < .05). [less ▲]

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See detailInformation sharing, credit booms and financial stability: Do developing economies differ from advanced countries?
Leon, Florian UL; Guérineau, Samuel

in Journal of Financial Stability (in press)

This paper analyses the impact of credit information sharing on financial stability, drawing special attention to its interactions with credit booms. A probit estimation of financial vulnerability ... [more ▼]

This paper analyses the impact of credit information sharing on financial stability, drawing special attention to its interactions with credit booms. A probit estimation of financial vulnerability episodes—identified by jumps in the ratio of non-performing loans to total loans—is run for a sample of 159 countries divided into two sub-samples according to their level of development: 80 advanced or emerging economies and 79 less developed countries. The results show that: i) credit information sharing reduces financial fragility for both groups of countries; ii) for less developed countries, the main effect is the direct effect (reduction of NPL ratio once credit boom is controlled), suggesting a portfolio quality effect; iii) credit information sharing also mitigates the detrimental impact of a credit boom on financial fragility but this result holds only for advanced and emerging countries and for household credit booms; and iv) the depth of information sharing has a negative impact on the likelihood of credit booms (but not the coverage of IS). [less ▲]

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See detail‘État de droit’ : Why import the German term ‘Rechtsstaat’ ?
Heuschling, Luc UL

in Meierhenrich, Jens; Loughlin, Martin (Eds.) The Cambridge Companion to the Rule of Law (in press)

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See detailAttentional bias to pain-related information: A meta-analysis of dot-probe studies
Todd, Jemma; van Ryckeghem, Dimitri UL; Sharpe, Louise et al

in Health Psychology Review (in press)

Studies investigating attentional biases towards pain information vary widely in both design and results. The aim of this meta-analysis was to determine the degree to which attentional biases towards pain ... [more ▼]

Studies investigating attentional biases towards pain information vary widely in both design and results. The aim of this meta-analysis was to determine the degree to which attentional biases towards pain occur when measured with the dot-probe task. A total of 2168 references were screened, resulting in a final sample of 4466 participants from 52 articles. Participants were grouped according to pain experience: chronic pain, acute pain, anticipating experimental/procedural pain, social concern for pain, or healthy people. In general, results revealed a significant, but small bias towards pain words (d= 0.136), and pain pictures (d= 0.110) in chronic pain patients, but not in those with acute pain, those anticipating pain, or healthy people. Follow-up analyses revealed an attentional bias towards sensory pain words in the chronic pain group (d= 0.198), and the acute pain group (d= 0.303), but not other groups. In contrast, attentional biases towards affective pain stimuli were not significant for any pain groups. This meta-analysis found support for attentional biases towards sensory pain stimuli in patients with chronic pain in comparison to healthy individuals across a range of common parameters. Future researchers need to consider task design when seeking to optimally measure pain-relevant attentional biases [less ▲]

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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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