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  • IN2SIGHT_DES_POLIMI_WP2_PhysicalData_20220425
    This dataset contains a set of data related to the characterization of the 2-photon polymerized microstructures for the IN2SIGHT project. Mostly, they are supplementary data for publications.
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  • In2Sight_WP2.Microfabrication
    • Dataset
  • IN2SIGHT_MAN_UNIMIB_WP{1,5,7}_Management_Plans_20220223
    This folder contains documents related to the regulatory plan (folder: Regulatory plan, D.5.1), to the Risk managament plan (folder: Risk Management, D1.1) and to the data management plan (folder: data management plan, D7.1). Update from Version 3 is the addition of the Annex 1 to the DMP that contains the indications for the data storage of digital pathology data.
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  • MCNNTUNES: Tuning Shower Monte Carlo generators with machine learning
    The parameters tuning of event generators is a research topic characterized by complex choices: the generator response to parameter variations is difficult to obtain on a theoretical basis, and numerical methods are hardly tractable due to the long computational times required by generators. Event generator tuning has been tackled by parametrization-based techniques, with the most successful one being a polynomial parametrization. In this work, an implementation of tuning procedures based on artificial neural networks is proposed. The implementation was tested with closure testing and experimental measurements from the ATLAS experiment at the Large Hadron Collider.
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  • Vbfnlo: A parton level Monte Carlo for processes with electroweak bosons
    This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Vbfnlo is a fully flexible parton level Monte Carlo program for the simulation of vector boson fusion, double and triple vector boson production in hadronic collisions at next-to-leading order in the strong coupling constant. Vbfnlo includes Higgs and vector boson decays with full spin correlations and all off-shell effects. In addition, Vbfnlo implements CP-even and CP-odd Higgs boson via gluon fusion, associated with two jets, at the leading-order one-loop level with the full top- a... Title of program: VBFNLO Catalogue Id: AEDO_v1_0 Nature of problem To resolve the large scale dependence inherent in leading order calculations and to quantify the cross section error induced by uncertainties in the determination of parton distribution functions, it is necessary to include NLO corrections. Moreover, whenever stringent cuts are required on decay products and/or identified jets the question arises whether the scale dependence and a k-factor, defined as the ratio of NLO to LO cross section, determined for the inclusive production cross sections ar ... Versions of this program held in the CPC repository in Mendeley Data AEDO_v1_0; VBFNLO; 10.1016/j.cpc.2009.03.006
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  • Measurements of production cross sections of WZ and same-sign WW boson pairs in association with two jets in proton-proton collisions at $\sqrt{s} =$ 13 TeV
    Measurements of production cross sections of WZ and same-sign $W^\pm W^\pm$ boson pairs in association with two jets in proton-proton collisions at $\sqrt{s}$=13TeV at the LHC are reported. The data sample corresponds to an integrated luminosity of 137$fb^{-1}$, collected with the CMS detector during 2016--2018. The measurements are performed in the leptonic decay modes $W^\pm Z \to \ell^\pm\nu\ell'^\pm\ell'^\mp$ and $W^\pm W^\pm \to \ell^\pm\nu\ell'^\pm\nu$, where $\ell, \ell' = e$, $\mu$. Differential fiducial cross sections as functions of the invariant masses of the jet and charged lepton pairs, as well as of the leading-lepton transverse momentum, are measured for WW production and are consistent with the standard model predictions. The dependence of differential cross sections on the invariant mass of the jet pair is also measured for WZ production. An observation of electroweak production of WZ boson pairs is reported with an observed (expected) significance of 6.8 (5.3) standard deviations. Constraints are obtained on the structure of quartic vector boson interactions in the framework of effective field theory.
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  • Dataset related to article "Radiomics and gene expression profile to characterize the disease and predict outcome in patients with lung cancer"
    This record contains data related to article "Radiomics and gene expression profile to characterize the disease and predict outcome in patients with lung cancer" Abstract Objectives: The objectives of our study were to assess the association of radiomic and genomic data with histology and patient outcome in non-small cell lung cancer (NSCLC). Methods: In this retrospective single-centre observational study, we selected 151 surgically treated patients with adenocarcinoma or squamous cell carcinoma who performed baseline [18F]FDG PET/CT. A subgroup of patients with cancer tissue samples at the Institutional Biobank (n=74/151) was included in the genomic analysis. Features were extracted from both PET and CT images using an in-house tool. The genomic analysis included detection of genetic variants, fusion transcripts, and gene expression. Generalised linear model (GLM) and machine learning (ML) algorithms were used to predict histology and tumour recurrence. Results: Standardised Uptake Value (SUV) and kurtosis (among the PET and CT radiomic features, respectively), and the expression of TP63, EPHA10, FBN2, and IL1RAP were associated with the histotype. No correlation was found between radiomic features/genomic data and relapse using GLM. The ML approach identified several radiomic/genomic rules to predict the histotype successfully. The ML approach showed a modest ability of PET radiomic features to predict relapse, while it identified a robust gene expression signature able to predict patient relapse correctly. The best- performing ML radiogenomic rule predicting the outcome resulted in an Area Under the Curve (AUC) of 0.87. Conclusions: Radiogenomic data may provide clinically relevant information in NSCLC patients regarding the histotype, aggressiveness, and progression. Gene expression analysis showed potential new biomarkers and targets valuable for patient management and treatment. The application of ML allows to increase the efficacy of radiogenomic analysis and provide novel insights into cancer biology.
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  • Search for singly and pair-produced leptoquarks coupling to third-generation fermions in proton-proton collisions at s=13 TeV
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  • Study of central exclusive $\pi^+\pi^-$ production in proton-proton collisions at $\sqrt{s} =$ 5.02 and 13 TeV
    Central exclusive and semiexclusive production of pi+pi- pairs is measured with the CMS detector in proton-proton collisions at the LHC at center-of-mass energies of 5.02 and 13 TeV. The theoretical description of these nonperturbative processes, which have not yet been measured in detail at the LHC, poses a significant challenge to models. The two pions are measured and identified in the CMS silicon tracker based on specific energy loss, whereas the absence of other particles is ensured by calorimeter information. The total and differential cross sections of exclusive and semiexclusive central pi+pi- production are measured as functions of invariant mass, transverse momentum, and rapidity of the pi+pi- system in the fiducial region defined as transverse momentum pT(pi) > 0.2 GeV and pseudorapidity |eta(pi)| < 2.4. The production cross sections for the four resonant channels f0(500), rho0(770), f0(980), and f2(1270) are extracted using a simple model. These results represent the first measurement of this process at the LHC collision energies of 5.02 and 13 TeV.
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  • Precise determination of the $B_{\mathrm{s}}^0$–$\overline B_{\mathrm{s}}^0$ oscillation frequency
    Mesons comprising a beauty quark and a strange quark can oscillate between particle ($B^{0}_{s}$) and antiparticle ($\bar{B}^{0}_{s}$) flavour eigenstates, with a frequency given by the mass difference between heavy and light mass eigenstates, $\Delta m_s$. Here we present a measurement of $\Delta m_s$ using $B^{0}_{s} \to D_{s}^{-} \pi^{+}$ decays produced in proton-proton collisions collected with the LHCb detector at the Large Hadron Collider. This measurement improves upon the current $\Delta m_s$ precision by a factor of two. The oscillation frequency is found to be $\Delta m_s = 17.7683 \pm 0.0051 \pm 0.0032$ ps$^{-1}$ where the first uncertainty is statistical and the second systematic. We combine this result with previous LHCb measurements to determine $\Delta m_s = 17.7656 \pm 0.0057$ ps$^{-1}$.
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