BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Theory of polymers in binary solvent solutions DTSTART;VALUE=DATE-TIME:20250610T152500Z DTEND;VALUE=DATE-TIME:20250610T153000Z DTSTAMP;VALUE=DATE-TIME:20260410T190906Z UID:indico-contribution-319-1643@cern.ch DESCRIPTION:Speakers: Davide Marcato (SISSA - Scuola Internazionale di Stu di Superiori Avanzati)\nhttps://indico.unina.it/event/91/contributions/164 3/ LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo URL:https://indico.unina.it/event/91/contributions/1643/ END:VEVENT BEGIN:VEVENT SUMMARY:Coarse Grained Simulations of Kinetoplast DNA DTSTART;VALUE=DATE-TIME:20250610T152000Z DTEND;VALUE=DATE-TIME:20250610T152500Z DTSTAMP;VALUE=DATE-TIME:20260410T190906Z UID:indico-contribution-319-1642@cern.ch DESCRIPTION:Speakers: Guglielmo Grillo (University of Trento / TIFPA)\nhtt ps://indico.unina.it/event/91/contributions/1642/ LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo URL:https://indico.unina.it/event/91/contributions/1642/ END:VEVENT BEGIN:VEVENT SUMMARY:Physical principles of phase-separation action on chromatin loopin g associated to pathogenic gene activation DTSTART;VALUE=DATE-TIME:20250610T151500Z DTEND;VALUE=DATE-TIME:20250610T152000Z DTSTAMP;VALUE=DATE-TIME:20260410T190906Z UID:indico-contribution-319-1641@cern.ch DESCRIPTION:Speakers: Andrea Fontana (Università di Napoli "Federico II" and INFN Napoli)\nhttps://indico.unina.it/event/91/contributions/1641/ LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo URL:https://indico.unina.it/event/91/contributions/1641/ END:VEVENT BEGIN:VEVENT SUMMARY:CIRNet: Evaluation of chemical and physical complementarities for a fast neural network-aided identification of protein interfaces DTSTART;VALUE=DATE-TIME:20250610T145500Z DTEND;VALUE=DATE-TIME:20250610T151500Z DTSTAMP;VALUE=DATE-TIME:20260410T190906Z UID:indico-contribution-319-1627@cern.ch DESCRIPTION:Speakers: Greta Grassmann (Sapienza Università di Roma)\nhttp s://indico.unina.it/event/91/contributions/1627/ LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo URL:https://indico.unina.it/event/91/contributions/1627/ END:VEVENT BEGIN:VEVENT SUMMARY:Characterizing allosteric communication in h-cisPT enzyme through network and transfer entropy analysis DTSTART;VALUE=DATE-TIME:20250610T143500Z DTEND;VALUE=DATE-TIME:20250610T145500Z DTSTAMP;VALUE=DATE-TIME:20260410T190906Z UID:indico-contribution-319-1626@cern.ch DESCRIPTION:Speakers: Carlo Guardiani (Sapienza University of Rome)\nhttps ://indico.unina.it/event/91/contributions/1626/ LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo URL:https://indico.unina.it/event/91/contributions/1626/ END:VEVENT BEGIN:VEVENT SUMMARY:OxDNA3: A Coarse-Grained DNA Model with Sequence-Specific Curvatur e and Elasticity DTSTART;VALUE=DATE-TIME:20250610T141500Z DTEND;VALUE=DATE-TIME:20250610T143500Z DTSTAMP;VALUE=DATE-TIME:20260410T190906Z UID:indico-contribution-319-1625@cern.ch DESCRIPTION:Speakers: Andrea Bonato (University of Strathclyde)\nhttps://i ndico.unina.it/event/91/contributions/1625/ LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo URL:https://indico.unina.it/event/91/contributions/1625/ END:VEVENT BEGIN:VEVENT SUMMARY:Maximum Entropy models of populations of cells DTSTART;VALUE=DATE-TIME:20250610T124500Z DTEND;VALUE=DATE-TIME:20250610T131500Z DTSTAMP;VALUE=DATE-TIME:20260410T190906Z UID:indico-contribution-319-1533@cern.ch DESCRIPTION:Speakers: Andrea De Martino (politecnico di torino)\nI will re cap our effort to represent populations of cells using Maximum-Entropy mod els defined on the space of single-cell metabolic states. At odds with mor e conventional optimization-based theories\, these models place the emphas is on (a) cell-to-cell variability\, (b) its relationship with fitness\, a nd (c) inter-cellular interactions. Advantages\, limitations and challenge s will hopefully emerge. I will also discuss the problem of the physical m eaning of the ‘metabolic temperature’ of a population\, along with som e new directions\, mainly concerning the large-scale metabolic structuring of populations.\n\nhttps://indico.unina.it/event/91/contributions/1533/ LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo URL:https://indico.unina.it/event/91/contributions/1533/ END:VEVENT BEGIN:VEVENT SUMMARY:Dual Stochastic Resonance Enhances Sexual Communication in Stink B ugs Nezara Viridula DTSTART;VALUE=DATE-TIME:20250610T131500Z DTEND;VALUE=DATE-TIME:20250610T134500Z DTSTAMP;VALUE=DATE-TIME:20260410T190906Z UID:indico-contribution-319-1534@cern.ch DESCRIPTION:Speakers: Bernardo Spagnolo (Dipartimento di Fisica e Chimica "E. Segrè”\, Group of Interdisciplinary Theoretical Physics\, Universit à degli Studi di Palermo\, Palermo\, Stochastic Multistable Systems Labor atory\, Lobachevsky University\, Russia)\nStochastic resonance (SR) phenom ena provide insight into the behavior of complex biological sys- tems. Fur thermore\, a method for characterizing SR-type behavior in excitable syste ms with ape- riodic and arbitrary inputs\, such as broadband signals\, has been developed and termed aperiodic stochastic resonance (ASR). It was di scovered that noise can enhance the response of a sensory neu- ron to a su bthreshold aperiodic input signal\, suggesting a functional role for input noise in sensory systems. The simple addition of noise enhances a system ’s sensitivity\, improving its ability to dis- criminate weak signals. T he southern green stink bug\, Nezara viridula (L.)\, is a cosmopolitan and highly polyphagous insect prevalent in many tropical and subtropical regi ons\, representing one of the most significant pentatomid pests worldwide. Acoustic communication during mating is fundamental to this species’ re productive behavior and offers a promising avenue for population control t hrough traps that emit acoustic signals. In this study\, we demonstrate ho w environmental noise can enhance intersexual communication by analyzing b ehavior using the source-direction movement (SDM) ratio. Our findings reve al that the SDM exhibits a nonmonotonic trend with two distinct maxima\, s uggesting the presence of a “double” behavioral stochastic resonance. Fur- thermore\, the external noise intensity values employed in laboratory experiments closely match those observed in open-field measurements. Thes e results confirm that environmental noise plays a crucial role in the aco ustic communication of N. viridula during the mating period.\n\nhttps://in dico.unina.it/event/91/contributions/1534/ LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo URL:https://indico.unina.it/event/91/contributions/1534/ END:VEVENT BEGIN:VEVENT SUMMARY:Statistically validated comorbidity networks DTSTART;VALUE=DATE-TIME:20250610T121500Z DTEND;VALUE=DATE-TIME:20250610T124500Z DTSTAMP;VALUE=DATE-TIME:20260410T190906Z UID:indico-contribution-319-1532@cern.ch DESCRIPTION:Speakers: Rosario Nunzio Mantegna (Department of Physics and C hemistry - Emilio Segrè - University of Palermo)\nWe investigate a large set of electronic health records (EHRs) collected by wellbeing services co unty of Soutwest Finland (Varha) [1]. Different diseases have different pr evalence in a given population. For this reason\, the observation of a spe cific comorbidity in a given patient could be just the result of a random co-occurrence of two unrelated diseases. Therefore a comorbidity net- work of diseases obtained from EHR data can in principle mix comorbidity occur rences originating either from random or from biological/medical origin. T o extract from EHR data information on biologically or medically induced c omorbidity we perform the detection of so-called statistically validated n etworks [2\,3]. In this approach\, all links of a projected network (PROJ) obtained start- ing from a bipartite network (patient-disease) are subjet to a statistical test. Each link in the PROJ network of diseases is subje cted to a statistical test able to discriminate whether the presence of a link is an indication of comorbidity of unknown origin (i.e. in technical terms compatible with a so-called “null hypothesis”) or as an indicati on of potential comorbidity of biological/medical origin. By performing th e same statistical test for all diseases’ pairs present in the PROJ netw ork we extract what we address as a SVN. The SVN is providing a selection of those comorbidities that cannot be statistically explained only by rand om co-occurrence of diseases of different prevalence. \n\n[1] P. Crisafull i\, T. Galla\, A. Karlsson\, R.N. Mantegna\, S. Miccichè\, and J. Piilo\, Statistically Validated Comorbidity Networks\, manuscript in preparation (2025). [2] M. Tumminello et al. Statistically validated networks in bipar tite complex systems. PLoS ONE\, 6(3):e17994\, Mar. 2011. [3] M.-X. Li et al . Statistically validated mobile communication networks: the evolution of motifs in european and chinese data. New Journal of Physics\, 16(8):083 038\, 2014.\n\nhttps://indico.unina.it/event/91/contributions/1532/ LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo URL:https://indico.unina.it/event/91/contributions/1532/ END:VEVENT END:VCALENDAR