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Gribaudo, Marco; Horváth, Andras; Bobbio, Andrea; Tronci, Enrico; Ciancamerla, Ester; Minichino, Michele |
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Fluid Petri Nets and hybrid model checking: a comparative case study |
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2003 |
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Int. Journal on: Reliability Engineering & System Safety |
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81 |
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3 |
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239-257 |
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The modeling and analysis of hybrid systems is a recent and challenging research area which is actually dominated by two main lines: a functional analysis based on the description of the system in terms of discrete state (hybrid) automata (whose goal is to ascertain conformity and reachability properties), and a stochastic analysis (whose aim is to provide performance and dependability measures). This paper investigates a unifying view between formal methods and stochastic methods by proposing an analysis methodology of hybrid systems based on Fluid Petri Nets (FPNs). FPNs can be analyzed directly using appropriate tools. Our paper shows that the same FPN model can be fed to different functional analyzers for model checking. In order to extensively explore the capability of the technique, we have converted the original FPN into languages for discrete as well as hybrid as well as stochastic model checkers. In this way, a first comparison among the modeling power of well known tools can be carried out. Our approach is illustrated by means of a ’real world’ hybrid system: the temperature control system of a co-generative plant. |
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Elsevier |
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Sapienza @ mari @ ress03 |
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40 |
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Intrigila, Benedetto; Melatti, Igor; Tofani, Alberto; Macchiarelli, Guido |
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Title |
Computational models of myocardial endomysial collagen arrangement |
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Journal Article |
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Year |
2007 |
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Computer Methods and Programs in Biomedicine |
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86 |
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3 |
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232-244 |
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Collagen extracellular matrix is one of the factors related to high passive stiffness of cardiac muscle. However, the architecture and the mechanical aspects of the cardiac collagen matrix are not completely known. In particular, endomysial collagen contribution to the passive mechanics of cardiac muscle as well as its micro anatomical arrangement is still a matter of debate. In order to investigate mechanical and structural properties of endomysial collagen, we consider two alternative computational models of some specific aspects of the cardiac muscle. These two models represent two different views of endomysial collagen distribution: (1) the traditional view and (2) a new view suggested by the data obtained from scanning electron microscopy (SEM) in NaOH macerated samples (a method for isolating collagen from the other tissue). We model the myocardial tissue as a net of spring elements representing the cardiomyocytes together with the endomysial collagen distribution. Each element is a viscous elastic spring, characterized by an elastic and a viscous constant. We connect these springs to imitate the interconnections between collagen fibers. Then we apply to the net of springs some external forces of suitable magnitude and direction, obtaining an extension of the net itself. In our setting, the ratio forces magnitude /net extension is intended to model the stress /strain ratio of a microscopical portion of the myocardial tissue. To solve the problem of the correct identification of the values of the different parameters involved, we use an artificial neural network approach. In particular, we use this technique to learn, given a distribution of external forces, the elastic constants of the springs needed to obtain a desired extension as an equilibrium position. Our experimental findings show that, in the model of collagen distribution structured according to the new view, a given stress /strain ratio (of the net of springs, in the sense specified above) is obtained with much smaller (w.r.t. the other model, corresponding to the traditional view) elasticity constants of the springs. This seems to indicate that by an appropriate structure, a given stiffness of the myocardial tissue can be obtained with endomysial collagen fibers of much smaller size. |
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Elsevier North-Holland, Inc. |
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New York, NY, USA |
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0169-2607 |
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Sapienza @ mari @ Imtm07 |
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82 |
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Böhm, Corrado; Tronci, Enrico |
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About Systems of Equations, X-Separability, and Left-Invertibility in the lambda-Calculus |
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1991 |
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Inf. Comput. |
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90 |
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1 |
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1-32 |
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yes |
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Sapienza @ mari @ infcomp91 |
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59 |
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Author |
Lanotte, Ruggero; Maggiolo-Schettini, Andrea; Tini, Simone; Troina, Angelo; Tronci, Enrico |
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Title |
Automatic Analysis of the NRL Pump |
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2004 |
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Electr. Notes Theor. Comput. Sci. |
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99 |
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245-266 |
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We define a probabilistic model for the NRL Pump and using FHP-mur$\varphi$ show experimentally that there exists a probabilistic covert channel whose capacity depends on various NRL Pump parameters (e.g. buffer size, number of samples in the moving average, etc). |
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yes |
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Sapienza @ mari @ entcs04 |
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36 |
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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. |
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Negative affect is unrelated to fluctuations in hormone levels across the menstrual cycle: Evidence from a multisite observational study across two successive cycles |
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2017 |
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Journal of Psychosomatic Research |
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99 |
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21-27 |
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MCLab @ davi @ |
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165 |
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Cesta, Amedeo; Fratini, Simone; Orlandini, Andrea; Finzi, Alberto; Tronci, Enrico |
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Title |
Flexible Plan Verification: Feasibility Results |
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2011 |
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Fundamenta Informaticae |
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107 |
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2 |
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111-137 |
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yes |
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Sapienza @ mari @ fi11 |
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15 |
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Leeners, B.; Krueger, T.; Geraedts, K.; Tronci, E.; Mancini, T.; Ille, F.; Egli, M.; Roeblitz, S.; Wunder, D.; Saleh, L.; Schippert, C.; Hengartner, M.P. |
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Title |
Cognitive function in association with high estradiol levels resulting from fertility treatment |
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Journal Article |
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2021 |
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Hormones and Behavior |
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130 |
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104951 |
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Cognition, Estrogen, Estradiol, Fertility treatment, Attention, Cognitive bias |
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The putative association between hormones and cognitive performance is controversial. While there is evidence that estradiol plays a neuroprotective role, hormone treatment has not been shown to improve cognitive performance. Current research is flawed by the evaluation of combined hormonal effects throughout the menstrual cycle or in the menopausal transition. The stimulation phase of a fertility treatment offers a unique model to study the effect of estradiol on cognitive function. This quasi-experimental observational study is based on data from 44 women receiving IVF in Zurich, Switzerland. We assessed visuospatial working memory, attention, cognitive bias, and hormone levels at the beginning and at the end of the stimulation phase of ovarian superstimulation as part of a fertility treatment. In addition to inter-individual differences, we examined intra-individual change over time (within-subject effects). The substantial increases in estradiol levels resulting from fertility treatment did not relate to any considerable change in cognitive functioning. As the tests applied represent a broad variety of cognitive functions on different levels of complexity and with various brain regions involved, we can conclude that estradiol does not show a significant short-term effect on cognitive function. |
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0018-506x |
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MCLab @ davi @ Leeners2021104951 |
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185 |
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Author |
Mancini, T. |
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Title |
Now or Never: Negotiating Efficiently with Unknown or Untrusted Counterparts |
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2016 |
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Fundamenta Informaticae |
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149 |
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1-2 |
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61-100 |
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MCLab @ davi @ DBLP:journals/fuin/Mancini16 |
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161 |
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Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. |
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SyLVaaS: System Level Formal Verification as a Service |
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2016 |
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Fundamenta Informaticae |
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149 |
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1-2 |
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101-132 |
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MCLab @ davi @ DBLP:journals/fuin/ManciniMMMT16 |
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160 |
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Tronci, Enrico |
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Title |
Equational Programming in Lambda-Calculus via SL-Systems. Part 1 |
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1996 |
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Theoretical Computer Science |
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160 |
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1&2 |
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145-184 |
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Sapienza @ mari @ tcs96 |
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54 |
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