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See detailPredictive Modeling in a VoIP System
Simionovici, Ana-Maria UL; Tantar, Alexandru; Bouvry, Pascal UL et al

in Journal of Telecommunications and Information Technology (2013), 4

An important problem one needs to deal with in a Voice over IP system is server overload. One way for pre- venting such problems is to rely on prediction techniques for the incoming traffic, namely as to ... [more ▼]

An important problem one needs to deal with in a Voice over IP system is server overload. One way for pre- venting such problems is to rely on prediction techniques for the incoming traffic, namely as to proactively scale the avail- able resources. Anticipating the computational load induced on processors by incoming requests can be used to optimize load distribution and resource allocation. In this study, the authors look at how the user profiles, peak hours or call pat- terns are shaped for a real system and, in a second step, at constructing a model that is capable of predicting trends. [less ▲]

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See detailThe predictive Power of Fund Ratings with a novel approach using uncertainty measures to analyzing risk
Terraza, Virginie UL; Toque, Carole UL

in Decisions in Economics & Finance (2009), 32(2), 149-160

Using two approaches to panel data, Granger causality analysis with semi-asymptotic tests, and a structural approach based on entropies measured on sequences of multi-period ratings and returns, we ... [more ▼]

Using two approaches to panel data, Granger causality analysis with semi-asymptotic tests, and a structural approach based on entropies measured on sequences of multi-period ratings and returns, we specify the relationship between a fund’s performance and both Morningstar and Europerformance ratings. We conclude on the Europerformance agency forecasting ability for the Luxembourg funds, and the Morningstar agency for the French funds. Indeed, we find two groups of funds depending on their domiciliation and appropriated rating. The results of this paper have implications for the management of fund portfolios, and the structural approach, more robust to our data, must be a first process for forecast models on the basis of similar funds, minor uncertainty or risk measure, and appropriated rating. [less ▲]

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See detailThe Predictive Power of the Left-Right Self-Placement Scale for the Policy Positions of Voters and Parties.
Lesschaeve, Christophe UL

in West European Politics (2017), 40(2), 357-377

The left-right self-placement scale is often used in political science as a proxy for the policy positions of voters and parties. Yet studies have suggested that, for voters, this relation is dependent on ... [more ▼]

The left-right self-placement scale is often used in political science as a proxy for the policy positions of voters and parties. Yet studies have suggested that, for voters, this relation is dependent on education level. These studies were, however, hampered by data limitations and restricted statistical analyses. In addition, the extent to which the relation between the left-right self-placement scale and policy positions differs for parties and voters has not been explored. This article looks at the differential relation between left-right self-placement and policy positions for voters with different education levels on an integrated dataset containing over 50 voter and party policy positions. It is found that the left-right self-placement scale is a much better predictor for the policy positions of parties than it is for the policy preferences of voters. Robustness checks show that neither the saliency of the policy positions nor their complexity moderates these findings. [less ▲]

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See detailPredictive QM/MM modeling of modulations in protein-protein binding by lysine methylation
Rahman, Sanim; Wineman-Fisher, Vered; Al-Hamdani, Yasmine et al

in Journal of Molecular Biology (2020)

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See detailPredictive Validity of Self-Reported Self-Control for Different Forms of Recidivism
Grieger, Lena; Hosser, Daniela; Schmidt, Alexander F. UL

in Journal of Criminal Psychology (2012), 2

Purpose: This prospective study investigated the predictive validity of Self-Control (SC) for several forms of criminal recidivism (general, property, violence, sexual). Design: N = 1838 male prisoners ... [more ▼]

Purpose: This prospective study investigated the predictive validity of Self-Control (SC) for several forms of criminal recidivism (general, property, violence, sexual). Design: N = 1838 male prisoners were interviewed while serving a prison sentence. Personality traits known to be related to SC served as operationalization of SC. Cluster analyses identified three clusters of SC-related traits: Emotion Regulation, Self-Assertion, and Effortful Control. Survival-analyses predicted recidivism, which was assessed using official data. The follow up period amounted to 72 months. Findings: The SC-related trait clusters significantly predicted general and violent reoffending, after controlling for established risk factors for recidivism (age, age at first offense, social status, previous youth detention, out-of-home placements, and length of imprisonment). However, trait clusters did not predict reoffending with a property offense. Offenders with violent or sex offenses in their criminal history showed different profiles on the trait clusters. Originality: SC is an important risk factor for violent recidivism. SC-related trait clusters should not be combined to form a single score, because essential information for risk profiles would be lost. [less ▲]

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See detailPredictive validity of tracking decisions: Application of a new validation criterion.
Klapproth, Florian UL; Krolak-Schwerdt, Sabine UL; Hörstermann, Thomas UL et al

in Spiliopoulou, Myra; Schmidt-Thieme, Lars; Janning, Ruth (Eds.) Studies in classification, data analysis, and knowledge organisation: Data Analysis, Machine Learning and Knowledge Discovery. (2014)

Detailed reference viewed: 137 (34 UL)
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See detailThe predictive value of attentional bias towards pain-related information in chronic pain patients: a diary study.
Van Ryckeghem, Dimitri UL; Crombez, Geert; Goubert, Liesbet et al

in Pain (2013), 154(3), 468-75

Theoretical accounts of chronic pain hypothesize that attentional bias towards pain-related information is a maintaining or exacerbating factor, fuelling further pain, disability, and distress. However ... [more ▼]

Theoretical accounts of chronic pain hypothesize that attentional bias towards pain-related information is a maintaining or exacerbating factor, fuelling further pain, disability, and distress. However, empirical research testing this idea is currently lacking. In the present study, we investigated whether attentional bias towards pain-related information predicts daily pain-related outcomes in a sample of chronic pain patients (n=69; M(age)=49.64 years; 46 females). During an initial laboratory session, attentional bias to pain-related information was assessed using a modified spatial cueing task. In advance, patients completed a number of self-report measures assessing current pain intensity, current disability, and pain duration. Subsequently, daily pain outcomes (self-reported pain severity, disability, avoidance behaviour, and distractibility) were measured for 2 weeks by means of an electronic diary. Results indicated that, although an attentional bias towards pain-related information was associated with the current level of disability and pain severity, it had no additional value above control variables in predicting daily pain severity, avoidance, distractibility, and disability. Attentional bias towards pain-related information did, however, moderate the relationship between daily pain severity and both daily disability and distractibility, indicating that, particularly in those patients with a strong attentional bias, increases in pain were associated with increased disability and distractibility. The use of interventions that diminish attentional bias may therefore be helpful to reduce daily disability and the level of distraction from current tasks despite the presence of pain in chronic pain patients. [less ▲]

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See detailPredictors of antisocial and prosocial behavior in an adolescent sports context.
Rutten, E. A.; Schuengel, C.; Dirks, E. et al

in Social Development (2011), 20(2), 294-315

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See detailPredictProtein--an open resource for online prediction of protein structural and functional features
Yachdav, Guy; Kloppman; Kajan et al

in Nucleic Acid Research (2014), 42(8),

PredictProtein is a meta-service for sequence analysis that has been predicting structural and functional features of proteins since 1992. Queried with a protein sequence it returns: multiple sequence ... [more ▼]

PredictProtein is a meta-service for sequence analysis that has been predicting structural and functional features of proteins since 1992. Queried with a protein sequence it returns: multiple sequence alignments, predicted aspects of structure (secondary structure, solvent accessibility, transmembrane helices (TMSEG) and strands, coiled-coil regions, disulfide bonds and disordered regions) and function. The service incorporates analysis methods for the identification of functional regions (ConSurf), homology-based inference of Gene Ontology terms (metastudent), comprehensive subcellular localization prediction (LocTree3), protein–protein binding sites (ISIS2), protein–polynucleotide binding sites (SomeNA) and predictions of the effect of point mutations (non-synonymous SNPs) on protein function (SNAP2). Our goal has always been to develop a system optimized to meet the demands of experimentalists not highly experienced in bioinformatics. To this end, the PredictProtein results are presented as both text and a series of intuitive, interactive and visually appealing figures. The web server and sources are available at http://ppopen.rostlab.org. [less ▲]

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See detailPrediSi: prediction of signal peptides and their cleavage positions
Hiller, Karsten UL; Grote, Andreas; Scheer, Maurice et al

in Nucleic Acids Research (2004)

Detailed reference viewed: 332 (0 UL)
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See detailThe preeminent role of the linguistic capital in the reproduction of the social space in Luxembourg
Fehlen, Fernand UL

in Grenfell, Michael; Kelly, Michael (Eds.) Pierre Bourdieu : language, culture, and education (1999)

Detailed reference viewed: 48 (1 UL)
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See detailPréface
Margue, Michel UL; Pettiau, Hérold UL

in Pettiau, Hérold; Margue, Michel (Eds.) La Lotharingie en question. Identités, oppositions, intégrations. Actes des 14e Journées Lotharingiennes (2018)

This preface highlights the seminal role played by professor Michel Parisse in the research on to medieval Lotharingia, and to whom this volume is dedicated.

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See detailPreface
Steffgen, Georges UL; Gollwitzer, Mario

in Steffgen, Georges; Gollwitzer, Mario (Eds.) Emotions and aggressive Behavior (2007)

Detailed reference viewed: 27 (0 UL)
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See detailPreface
Smith, Peter; Steffgen, Georges UL

in Smith, Peter; Steffgen, Georges (Eds.) Cyberbullying through the new media - Findings from an international network (2013)

Detailed reference viewed: 11 (0 UL)
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See detailPreface
Lausen, Berthold; Krolak-Schwerdt, Sabine UL; Böhmer, Matthias UL

in Lausen, Berthold; Krolak-Schwerdt, Sabine; Böhmer, Matthias (Eds.) Data Science, Learning by Latent Structures, and Knowledge Discovery (2015)

Detailed reference viewed: 50 (4 UL)
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See detailPreface
de Saint-Georges, Ingrid UL; Weber, Jean-Jacques UL

in de Saint-Georges, Ingrid; Weber, Jean-Jacques (Eds.) Multilingualism and Multimodality : Current Challenges for Educational Studies (2013)

Detailed reference viewed: 84 (5 UL)
See detailPreface
Pauly, Michel UL

in Hietala, Marjatta; Helminen, Martti; Lahtinen, Merja (Eds.) Helsinki. Helsingfors. Historic Town Atlas (2009)

Detailed reference viewed: 30 (0 UL)
See detailPreface
Pauly, Michel UL

in Houben, Hubert; Toomaspoeg, Kristjan (Eds.) Towns and Communication, vol. 2: Communication between Towns. Proceedings of the Meetings of the International Commission for the History of Towns (ICHT), London 2007 - Lecce 2008 (2011)

Detailed reference viewed: 27 (0 UL)