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	Author	Della Penna, Giuseppe; Intrigila, Benedetto; Magazzeni, Daniele; Melatti, Igor; Tronci, Enrico
	Title	CGMurphi: Automatic synthesis of numerical controllers for nonlinear hybrid systems			Type	Journal Article
	Year	2013	Publication	European Journal of Control	Abbreviated Journal	European Journal of Control
	Volume	19	Issue	1	Pages	14-36
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher	Elsevier North-Holland, Inc.	Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	0947-3580	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	Sapienza @ melatti @			Serial	114
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	Author	Della Penna, Giuseppe; Tofani, Alberto; Pecorari, Marcello; Raparelli, Orazio; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico
	Title	A Case Study on Automated Generation of Integration Tests			Type	Conference Article
	Year	2006	Publication	Fdl	Abbreviated Journal
	Volume		Issue		Pages	278-284
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher	Ecsi	Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-3-00-019710-9	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ Dtprimt06			Serial	27
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	Author	Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico; Alvisi, Lorenzo; Clement, Allen; Li, Harry
	Title	Model Checking Nash Equilibria in MAD Distributed Systems			Type	Conference Article
	Year	2008	Publication	FMCAD '08: Proceedings of the 2008 International Conference on Formal Methods in Computer-Aided Design	Abbreviated Journal
	Volume		Issue		Pages	1-8
	Keywords	Model Checking, MAD Distributed System, Nash Equilibrium
	Abstract	We present a symbolic model checking algorithm for verification of Nash equilibria in finite state mechanisms modeling Multiple Administrative Domains (MAD) distributed systems. Given a finite state mechanism, a proposed protocol for each agent and an indifference threshold for rewards, our model checker returns PASS if the proposed protocol is a Nash equilibrium (up to the given indifference threshold) for the given mechanism, FAIL otherwise. We implemented our model checking algorithm inside the NuSMV model checker and present experimental results showing its effectiveness for moderate size mechanisms. For example, we can handle mechanisms which corresponding normal form games would have more than $10^20$ entries. To the best of our knowledge, no model checking algorithm for verification of mechanism Nash equilibria has been previously published.
	Address
	Corporate Author				Thesis
	Publisher	IEEE Press	Place of Publication	Piscataway, NJ, USA	Editor	Cimatti, A.; Jones, R.
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-4244-2735-2	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ MarMelSalTroAlvCle08			Serial	93
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	Author	Tronci, E.; Mancini, T.; Salvo, I.; Mari, F.; Melatti, I.; Massini, A.; Sinisi, S.; DavÃ¬, F.; Dierkes, T.; Ehrig, R.; RÃ¶blitz, S.; Leeners, B.; KrÃ¼ger, T.; Egli, M.; Ille, F.
	Title	Patient-Specific Models from Inter-Patient Biological Models and Clinical Records			Type	Conference Article
	Year	2014	Publication	Formal Methods in Computer-Aided Design (FMCAD)	Abbreviated Journal
	Volume		Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	Sapienza @ mari @			Serial	120
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	Author	Della Penna, Giuseppe; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico; Venturini Zilli, Marisa
	Title	Bounded Probabilistic Model Checking with the Mur$\varphi$ Verifier			Type	Conference Article
	Year	2004	Publication	Formal Methods in Computer-Aided Design, 5th International Conference, FMCAD 2004, Austin, Texas, USA, November 15-17, 2004, Proceedings	Abbreviated Journal
	Volume		Issue		Pages	214-229
	Keywords
	Abstract	In this paper we present an explicit verification algorithm for Probabilistic Systems defining discrete time/finite state Markov Chains. We restrict ourselves to verification of Bounded PCTL formulas (BPCTL), that is, PCTL formulas in which all Until operators are bounded, possibly with different bounds. This means that we consider only paths (system runs) of bounded length. Given a Markov Chain $\cal M$ and a BPCTL formula Φ, our algorithm checks if Φ is satisfied in $\cal M$. This allows to verify important properties, such as reliability in Discrete Time Hybrid Systems. We present an implementation of our algorithm within a suitable extension of the Mur$\varphi$ verifier. We call FHP-Mur$\varphi$ (Finite Horizon Probabilistic Mur$\varphi$) such extension of the Mur$\varphi$ verifier. We give experimental results comparing FHP-Mur$\varphi$ with (a finite horizon subset of) PRISM, a state-of-the-art symbolic model checker for Markov Chains. Our experimental results show that FHP-Mur$\varphi$ can effectively handle verification of BPCTL formulas for systems that are out of reach for PRISM, namely those involving arithmetic operations on the state variables (e.g. hybrid systems).
	Address
	Corporate Author				Thesis
	Publisher	Springer	Place of Publication		Editor	Hu, A.J.; Martin, A.K.
	Language		Summary Language		Original Title
	Series Editor		Series Title	Lecture Notes in Computer Science	Abbreviated Series Title
	Series Volume	3312	Series Issue		Edition
	ISSN	3-540-23738-0	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ Dimtz04			Serial	87
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	Author	Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.
	Title	An Efficient Algorithm for Network Vulnerability Analysis Under Malicious Attacks			Type	Conference Article
	Year	2018	Publication	Foundations of Intelligent Systems – 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings	Abbreviated Journal
	Volume		Issue		Pages	302-312
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	Best Paper			Approved	no
	Call Number	MCLab @ davi @ DBLP:conf/ismis/ManciniMMST18			Serial	176
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	Author	Leeners, B.; Kruger, T.H.C.; Geraedts, K.; Tronci, E.; Mancini, T.; Ille, F.; Egli, M.; RÃ¶blitz, S.; Saleh, L.; Spanaus, K.; Schippert, C.; Zhang, Y.; Hengartner, M.P.
	Title	Lack of Associations between Female Hormone Levels and Visuospatial Working Memory, Divided Attention and Cognitive Bias across Two Consecutive Menstrual Cycles			Type	Journal Article
	Year	2017	Publication	Frontiers in Behavioral Neuroscience	Abbreviated Journal
	Volume	11	Issue		Pages	120
	Keywords
	Abstract	Background: Interpretation of observational studies on associations between prefrontal cognitive functioning and hormone levels across the female menstrual cycle is complicated due to small sample sizes and poor replicability. Methods: This observational multisite study comprised data of n=88 menstruating women from Hannover, Germany, and Zurich, Switzerland, assessed during a first cycle and n=68 re-assessed during a second cycle to rule out practice effects and false-positive chance findings. We assessed visuospatial working memory, attention, cognitive bias and hormone levels at four consecutive time-points across both cycles. In addition to inter-individual differences we examined intra-individual change over time (i.e., within-subject effects). Results: Oestrogen, progesterone and testosterone did not relate to inter-individual differences in cognitive functioning. There was a significant negative association between intra-individual change in progesterone and change in working memory from pre-ovulatory to mid-luteal phase during the first cycle, but that association did not replicate in the second cycle. Intra-individual change in testosterone related negatively to change in cognitive bias from menstrual to pre-ovulatory as well as from pre-ovulatory to mid-luteal phase in the first cycle, but these associations did not replicate in the second cycle. Conclusions: There is no consistent association between women's hormone levels, in particular oestrogen and progesterone, and attention, working memory and cognitive bias. That is, anecdotal findings observed during the first cycle did not replicate in the second cycle, suggesting that these are false-positives attributable to random variation and systematic biases such as practice effects. Due to methodological limitations, positive findings in the published literature must be interpreted with reservation.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	1662-5153	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	Sapienza @ mari @ ref10.3389/fnbeh.2017.00120			Serial	167
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	Author	Fischer, S.; Ehrig, R.; Schaefer, S.; Tronci, E.; Mancini, T.; Egli, M.; Ille, F.; Krueger, T.H.C.; Leeners, B.; Roeblitz, S.
	Title	Mathematical Modeling and Simulation Provides Evidence for New Strategies of Ovarian Stimulation			Type	Journal Article
	Year	2021	Publication	Frontiers in Endocrinology	Abbreviated Journal
	Volume	12	Issue		Pages	117
	Keywords
	Abstract	New approaches to ovarian stimulation protocols, such as luteal start, random start or double stimulation, allow for flexibility in ovarian stimulation at different phases of the menstrual cycle. It has been proposed that the success of these methods is based on the continuous growth of multiple cohorts (“waves”) of follicles throughout the menstrual cycle which leads to the availability of ovarian follicles for ovarian controlled stimulation at several time points. Though several preliminary studies have been published, their scientific evidence has not been considered as being strong enough to integrate these results into routine clinical practice. This work aims at adding further scientific evidence about the efficiency of variable-start protocols and underpinning the theory of follicular waves by using mathematical modeling and numerical simulations. For this purpose, we have modified and coupled two previously published models, one describing the time course of hormones and one describing competitive follicular growth in a normal menstrual cycle. The coupled model is used to test ovarian stimulation protocols in silico. Simulation results show the occurrence of follicles in a wave-like manner during a normal menstrual cycle and qualitatively predict the outcome of ovarian stimulation initiated at different time points of the menstrual cycle.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	1664-2392	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	MCLab @ davi @ ref10.3389/fendo.2021.613048			Serial	189
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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
	Keywords
	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.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	1664-1078	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	MCLab @ davi @ ref10.3389/fpsyg.2019.01296			Serial	178
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	Author	Tortora, L.; Meynen, G.; Bijlsma, J.; Tronci, E.; Ferracuti, S.
	Title	Neuroprediction and A.I. in Forensic Psychiatry and Criminal Justice: A Neurolaw Perspective			Type	Journal Article
	Year	2020	Publication	Frontiers in Psychology	Abbreviated Journal
	Volume	11	Issue		Pages	220
	Keywords
	Abstract	Advances in the use of neuroimaging in combination with A.I., and specifically the use of machine learning techniques, have led to the development of brain-reading technologies which, in the nearby future, could have many applications, such as lie detection, neuromarketing or brain-computer interfaces. Some of these could, in principle, also be used in forensic psychiatry. The application of these methods in forensic psychiatry could, for instance, be helpful to increase the accuracy of risk assessment and to identify possible interventions. This technique could be referred to as Ã‚â€˜A.I. neuroprediction,Ã‚â€™ and involves identifying potential neurocognitive markers for the prediction of recidivism. However, the future implications of this technique and the role of neuroscience and A.I. in violence risk assessment remain to be established. In this paper, we review and analyze the literature concerning the use of brain-reading A.I. for neuroprediction of violence and rearrest to identify possibilities and challenges in the future use of these techniques in the fields of forensic psychiatry and criminal justice, considering legal implications and ethical issues. The analysis suggests that additional research is required on A.I. neuroprediction techniques, and there is still a great need to understand how they can be implemented in risk assessment in the field of forensic psychiatry. Besides the alluring potential of A.I. neuroprediction, we argue that its use in criminal justice and forensic psychiatry should be subjected to thorough harms/benefits analyses not only when these technologies will be fully available, but also while they are being researched and developed.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	1664-1078	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	MCLab @ davi @ Neuroprediction-2020			Serial	180
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