Search results for "temi"

showing 10 items of 3194 documents

Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments

2016

Uterine fibroids are benign tumors that can affect female patients during reproductive years. Magnetic resonance-guided focused ultrasound (MRgFUS) represents a noninvasive approach that uses thermal ablation principles to treat symptomatic fibroids. During traditional treatment planning, uterus, fibroids, and surrounding organs at risk must be manually marked on MR images by an operator. After treatment, an operator must segment, again manually, treated areas to evaluate the non-perfused volume (NPV) inside the fibroids. Both pre- and post-treatment procedures are time-consuming and operator-dependent. This paper presents a novel method, based on an advanced direct region detection model, …

SpeedupUterine fibroidsImage ProcessingBiomedical EngineeringThermal ablation02 engineering and technologyMagnetic Resonance Imaging InterventionalFocused ultrasound030218 nuclear medicine & medical imaging03 medical and health sciencesComputer-Assisted0302 clinical medicineImage Processing Computer-Assisted0202 electrical engineering electronic engineering information engineeringmedicineHumansSegmentationRadiation treatment planningSplit-and-merge segmentationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMRgFUS treatmentsInterventionalLeiomyomaMulti-seed adaptive region growingbusiness.industrymedicine.diseaseMagnetic Resonance Imagingfemale genital diseases and pregnancy complicationsComputer Science ApplicationsAutomatic segmentation MRgFUS treatments Multi-seed adaptive region growing Split-and-merge segmentation Uterine fibroids Algorithms Female High-Intensity Focused Ultrasound Ablation Humans Leiomyoma Magnetic Resonance Imaging Magnetic Resonance Imaging Interventional Image Processing Computer-AssistedMRgFUS treatmentRegion growingAutomatic segmentation; MRgFUS treatments; Multi-seed adaptive region growing; Split-and-merge segmentation; Uterine fibroids; Algorithms; Female; High-Intensity Focused Ultrasound Ablation; Humans; Leiomyoma; Magnetic Resonance Imaging; Magnetic Resonance Imaging Interventional; Image Processing Computer-AssistedHigh-Intensity Focused Ultrasound AblationFemale020201 artificial intelligence & image processingAutomatic segmentationbusinessMerge (version control)AlgorithmAlgorithmsUterine fibroidsMedical & Biological Engineering & Computing
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Il processo di incubazione per la creazione di imprese vitali. Il caso del Consorzio ARCA

2013

Obiettivi . Il processo di creazione di nuove imprese risulta particolarmente complesso qualora parta da idee altamente innovative che trovano difficolta ad essere percepite come valide dai sovra sistemi. Obiettivo del presente lavoro e dimostrare che gli incubatori accademici svolgono un ruolo determinante per la vitalita di queste imprese. Metodologia . Attraverso un caso studio contraddistinto da un embedded design si analizza l’efficacia del processo di incubazione degli spin-off dell’incubatore del Consorzio Arca. Risultati . L’efficacia del processo di incubazione e dimostrata dall’elevato numero di spin-off che, al termine del periodo di incubazione, sono capaci di competere con succ…

Spin-offApproccio Sistemico Vitale (ASV)ImprenditorialitàConsorzio ARCAIncubatori accademici Spin-off Approccio Sistemico Vitale (ASV) Consorzio ARCA Start-up innovative ImprenditorialitàIncubatori accademiciSettore SECS-P/08 - Economia E Gestione Delle ImpreseStart-up innovativeReferred Electronic Conference Proceeding
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The German COPD cohort COSYCONET: Aims, methods and descriptive analysis of the study population at baseline

2016

Abstract Background The German COPD cohort study COSYCONET (" CO PD and SY stemic consequences- CO morbidities NET work") investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort. Methods Inclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel …

SpirometryAdultMalePulmonary and Respiratory Medicinemedicine.medical_specialtyComorbiditySeverity of Illness IndexCohort Studies03 medical and health sciencesPulmonary Disease Chronic Obstructive0302 clinical medicineRisk FactorsInternal medicineGermanySeverity of illnessMedicineHumansCOPD030212 general & internal medicineProspective StudiesProspective cohort studyAgedAged 80 and overCOPDmedicine.diagnostic_testSystemic inflammationbusiness.industrySmokingCohortStudy designMiddle Agedmedicine.diseaseComorbiditySystemic Inflammatory Response SyndromeObservational Studies as Topic030228 respiratory systemCohortPhysical therapyDisease ProgressionPopulation studyFemaleCohort ; Comorbidity ; Copd ; Study Design ; Systemic InflammationbusinessCohort studyFollow-Up StudiesRespiratory Medicine
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Performance of Radiomics Features in the Quantification of Idiopathic Pulmonary Fibrosis from HRCT.

2020

Background: Our study assesses the diagnostic value of different features extracted from high resolution computed tomography (HRCT) images of patients with idiopathic pulmonary fibrosis. These features are investigated over a range of HRCT lung volume measurements (in Hounsfield Units) for which no prior study has yet been published. In particular, we provide a comparison of their diagnostic value at different Hounsfield Unit (HU) thresholds, including corresponding pulmonary functional tests. Methods: We consider thirty-two patients retrospectively for whom both HRCT examinations and spirometry tests were available. First, we analyse the HRCT histogram to extract quantitative lung fibrosis…

Spirometrymusculoskeletal diseasesHigh-resolution computed tomographyhigh resolution computed tomographyClinical Biochemistry-Article030218 nuclear medicine & medical imagingPulmonary function testing03 medical and health sciencesIdiopathic pulmonary fibrosis0302 clinical medicineRadiomicsHounsfield scalemedicineSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionilcsh:R5-920Lungmedicine.diagnostic_testbusiness.industryLung fibrosisrespiratory systemmedicine.diseaseidiopathic pulmonary fibrosisrespiratory tract diseasesmedicine.anatomical_structure030228 respiratory systemradiomicslcsh:Medicine (General)businessNuclear medicineDiagnostics (Basel, Switzerland)
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Sheet Stamping Processes Design: Optimization Methodologies for Robust and Environmental Conscious Decisions.

2012

StampingSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneProcesses DesignEnvironmental
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Voltage Profile Improvement for Soc Son's Low-Voltage Grid with High Penetration of PV Systems by Optimizing the Location of SVC Devices

2018

This paper presents a method that is applied to optimize the placement of Static VAR compensators in a real low-voltage grid in the Vietnamese territory. In this way, the voltage profile of the distribution grid turns to be improved. A heuristic method, the Binary Particle Swarm Optimization, is used to find a solution to this problem within the Matlab environment. A case study that considers a high penetration of rooftop PV systems in a branch of Soc Son distribution grid is implemented to show the efficiency of the optimization method for this specific application.

Static VAr compensators Reactive power Voltage control Renewable energy sources Particle swarm optimization OptimizationComputer sciencebusiness.industry020209 energyPhotovoltaic systemParticle swarm optimization02 engineering and technologyPenetration (firestop)AC powerGridRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'Energia0202 electrical engineering electronic engineering information engineeringElectronic engineeringbusinessMATLABcomputercomputer.programming_languageVoltage2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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Dissipation and entanglement dynamics for two interacting qubits coupled to independent reservoirs

2008

We derive the master equation of a system of two coupled qubits by taking into account their interaction with two independent bosonic baths. Important features of the dynamics are brought to light, such as the structure of the stationary state at general temperatures and the behaviour of the entanglement at zero temperature, showing the phenomena of sudden death and sudden birth as well as the presence of stationary entanglement for long times. The model here presented is quite versatile and can be of interest in the study of both Josephson junction architectures and cavity-QED.

Statistics and ProbabilityJosephson effectPhysicsQuantum PhysicsStructure (category theory)FOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsQuantum entanglementDissipationSudden deathdissipazioneteoria dei sistemi quantistici apertiModeling and SimulationQuantum mechanicsQubitMaster equationQuantum Physics (quant-ph)entanglementMathematical PhysicsStationary state
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A Knowledge Management and Decision Support Model for Enterprises

2011

We propose a novel knowledge management system (KMS) for enterprises. Our system exploits two different approaches for knowledge representation and reasoning: a document-based approach based on data-driven creation of a semantic space and an ontology-based model. Furthermore, we provide an expert system capable of supporting the enterprise decisional processes and a semantic engine which performs intelligent search on the enterprise knowledge bases. The decision support process exploits the Bayesian networks model to improve business planning process when performed under uncertainty. Copyright © 2011 Patrizia Ribino et al.

Statistics and ProbabilityKnowledge Management SystemsSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDecision support systemKnowledge managementArticle SubjectKnowledge representation and reasoningExploitProcess (engineering)business.industryComputer sciencelcsh:MathematicsApplied MathematicsGeneral Decision SciencesBayesian networkOntology (information science)lcsh:QA1-939computer.software_genreExpert systemComputational MathematicsKnowledge-based systemsbusinesscomputer
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DRUDIT: Web-based DRUgs DIscovery Tools to design small molecules as modulators of biological targets

2019

Abstract Motivation New in silico tools to predict biological affinities for input structures are presented. The tools are implemented in the DRUDIT (DRUgs DIscovery Tools) web service. The DRUDIT biological finder module is based on molecular descriptors that are calculated by the MOLDESTO (MOLecular DEScriptors TOol) software module developed by the same authors, which is able to calculate more than one thousand molecular descriptors. At this stage, DRUDIT includes 250 biological targets, but new external targets can be added. This feature extends the application scope of DRUDIT to several fields. Moreover, two more functions are implemented: the multi- and on/off-target tasks. These tool…

Statistics and ProbabilityService (systems architecture)PolypharmacologyComputer scienceIn silicoMachine learningcomputer.software_genre01 natural sciencesBiochemistrybiological target finderdrug discoveryMolecular descriptors03 medical and health sciencesMolecular descriptorSettore BIO/10 - BiochimicaWeb applicationComputer SimulationPolypharmacologyMolecular Biology030304 developmental biologySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInternet0303 health sciencesbusiness.industrySmall moleculeSettore CHIM/08 - Chimica Farmaceutica0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistryComputational MathematicsComputational Theory and MathematicsBiological targetThe InternetArtificial intelligencebusinesscomputerSoftware
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Fair immunization and network topology of complex financial ecosystems

2023

The aftermath of the recent financial crisis has shown how expensive and unfair the stabilization of financial ecosystems can be. The main cause is the level of complexity of financial interactions that poses a problem for regulators. We provide an analytical framework that decomposes complex ecosystems in both their overall level of instability and the contribution of institutions to instability. These ingredients are then used to study the pathways of the ecosystems towards stability by means of immunization schemes. The latter can be designed to penalize institutions proportionally to their contribution to instability, and therefore enhance fairness. We show that fair immunization scheme…

Statistics and ProbabilityStatistical and Nonlinear PhysicsSystemic risk Dynamical systems Stability analysis Financial networks BanksPhysica A: Statistical Mechanics and its Applications
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