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Author Mancini, T. ; Mari, F.; Massini, A.; Melatti, I.; Salvo, I.; Tronci, E.
Title On minimising the maximum expected verification time Type Journal Article
Year 2017 Publication Information Processing Letters Abbreviated Journal
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Call Number Sapienza @ mari @ Serial 163
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Author Hengartner, M. P.; Kruger, T. H. C.; Geraedts, K.; Tronci, E.; Mancini, T.; Ille, F.; Egli, M.; Röblitz, S.; Ehrig, R.; Saleh, L.; Spanaus, K.; Schippert, C.; Zhang, Y.; Leeners, B.
Title Negative affect is unrelated to fluctuations in hormone levels across the menstrual cycle: Evidence from a multisite observational study across two successive cycles Type Journal Article
Year 2017 Publication Journal of Psychosomatic Research Abbreviated Journal
Volume 99 Issue Pages 21-27
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Call Number MCLab @ davi @ Serial 165
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Author Mancini, T.; Massini, A.; Tronci, E.
Title Parallelization of Cycle-Based Logic Simulation Type Journal Article
Year 2017 Publication Parallel Processing Letters Abbreviated Journal
Volume 27 Issue 02 Pages
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Call Number MCLab @ davi @ Serial 166
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Author Maggioli, F.; Mancini, T.; Tronci, E.
Title SBML2Modelica: Integrating biochemical models within open-standard simulation ecosystems Type Journal Article
Year 2019 Publication Bioinformatics Abbreviated Journal
Volume 36 Issue 7 Pages 2165â2172
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Abstract SBML is the most widespread language for the definition of biochemical models. Although dozens of SBML simulators are available, there is a general lack of support to the integration of SBML models within open-standard general-purpose simulation ecosystems. This hinders co-simulation and integration of SBML models within larger model networks, in order to, e.g., enable in-silico clinical trials of drugs, pharmacological protocols, or engineering artefacts such as biomedical devices against Virtual Physiological Human models.Modelica is one of the most popular existing open-standard general-purpose simulation languages, supported by many simulators. Modelica models are especially suited for the definition of complex networks of heterogeneous models from virtually all application domains. Models written in Modelica (and in 100+ other languages) can be readily exported into black-box Functional Mock-Up Units (FMUs), and seamlessly co-simulated and integrated into larger model networks within open-standard language-independent simulation ecosystems.In order to enable SBML model integration within heterogeneous model networks, we present SBML2Modelica, a software system translating SBML models into well-structured, user-intelligible, easily modifiable Modelica models. SBML2Modelica is SBML Level 3 Version 2 -compliant and succeeds on 96.47% of the SBML Test Suite Core (with a few rare, intricate, and easily avoidable combinations of constructs unsupported and cleanly signalled to the user). Our experimental campaign on 613 models from the BioModels database (with up to 5438 variables) shows that the major open-source (general-purpose) Modelica and FMU simulators achieve performance comparable to state-of-the-art specialised SBML simulators.SBML2Modelica is written in Java and is freely available for non-commercial use at https://bitbucket.org/mclab/sbml2modelica
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ISSN 1367-4803 ISBN Medium
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Call Number MCLab @ davi @ ref10.1093/bioinformatics/btz860 Serial 179
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Author Ehrig, R.; Dierkes, T.; Schaefer, S.; Roeblitz, S.; Tronci, E.; Mancini, T.; Salvo, I.; Alimguzhin, V.; Mari, F.; Melatti, I.; Massini, A.; Leeners, B.; Krueger, T.H.C.; Egli, M.; Ille, F.
Title An integrative approach for model driven computation of treatments in reproductive medicine Type Conference Article
Year 2015 Publication Proceedings of the 15th International Symposium on Mathematical and Computational Biology (BIOMAT 2015), Rorkee, India Abbreviated Journal
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Call Number Sapienza @ preissler @ Ehrig_etal2015 Serial 144
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Author Hayes, B. P. ; Melatti, I.; Mancini, T.; Prodanovic, M.; Tronci, E.
Title Residential Demand Management using Individualised Demand Aware Price Policies Type Journal Article
Year 2017 Publication IEEE Transactions On Smart Grid Abbreviated Journal
Volume 8 Issue 3 Pages 1284-1294
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Call Number MCLab @ davi @ Serial 157
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Author Mancini, T.
Title Now or Never: Negotiating Efficiently with Unknown or Untrusted Counterparts Type Journal Article
Year 2016 Publication Fundamenta Informaticae Abbreviated Journal
Volume 149 Issue 1-2 Pages 61-100
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Call Number MCLab @ davi @ DBLP:journals/fuin/Mancini16 Serial 161
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E.
Title SyLVaaS: System Level Formal Verification as a Service Type Journal Article
Year 2016 Publication Fundamenta Informaticae Abbreviated Journal
Volume 149 Issue 1-2 Pages 101-132
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Call Number MCLab @ davi @ DBLP:journals/fuin/ManciniMMMT16 Serial 160
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Author Leeners, B.; Krueger, T.H.C.; Geraedts, K.; Tronci, E.; Mancini, T.; Egli, M.; Roeblitz, S.; Saleh, L.; Spanaus, K.; Schippert, C.; Zhang, Y.; Ille, F.
Title Associations Between Natural Physiological and Supraphysiological Estradiol Levels and Stress Perception Type Journal Article
Year 2019 Publication Frontiers in Psychology Abbreviated Journal
Volume 10 Issue Pages 1296
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Abstract Stress is a risk factor for impaired general, mental and reproductive health. The role of physiological and supraphysiological estradiol concentrations in stress perception and stress processing is less well understood. We therefore, conducted a prospective observational study to investigate the association between estradiol, stress perception and stress-related cognitive performance within serial measurements either during the natural menstrual cycle or during fertility treatment, where estradiol levels are strongly above the physiological level of a natural cycle and consequently, represent a good model to study dose-dependent effects of estradiol. Data from 44 women receiving in vitro fertilization at the Department of Reproductive Endocrinology in Zurich, Switzerland was compared to data from 88 women with measurements during their natural menstrual cycle. The german version of the Perceived Stress Questionnaire (PSQ) and the Cognitive Bias Test (CBT), in which cognitive performance is tested under time stress were used to evaluate subjective and functional aspects of stress. Estradiol levels were investigated at four different time points during the menstrual cycle and at two different time points during a fertility treatment. Cycle phase were associated with PSQ worry and cognitive bias in normally cycling women, but different phases of fertility treatment were not associated with subjectively perceived stress and stress-related cognitive bias. PSQ lack of joy and PSQ demands related to CBT in women receiving fertility treatment but not in women with a normal menstrual cycle. Only strong changes of the estradiol level during fertility treatment were weakly associated with CBT, but not with subjectively experienced stress. Our research emphasises the multidimensional character of stress and the necessity to adjust stress research to the complex nature of stress perception and processing. Infertility is associated with an increased psychological burden in patients. However, not all phases of the process to overcome infertility do significantly increase patient stress levels. Also, research on the psychological burden of infertility should consider that stress may vary during the different phases of fertility treatment.
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ISSN 1664-1078 ISBN Medium
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Call Number MCLab @ davi @ ref10.3389/fpsyg.2019.01296 Serial 178
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Author Driouich, Y.; Parente, M.; Tronci, E.
Title Modeling cyber-physical systems for automatic verification Type Conference Article
Year 2017 Publication 14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD 2017) Abbreviated Journal
Volume Issue Pages 1-4
Keywords cyber-physical systems;formal verification;maximum power point trackers;power engineering computing;Modelica;automatic verification;complex power electronics systems;cyber-physical systems modeling;distributed maximum power point tracking system;open standard modeling language;Computational modeling;Control systems;Integrated circuit modeling;Mathematical model;Maximum power point trackers;Object oriented modeling;Radiation effects;Automatic Formal Verification;Cyber-Physical Systems;DMPPT;Modeling;Photovoltaic systems;Simulation;System Analysis and Design
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Call Number MCLab @ davi @ ref7981621 Serial 168
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