Search results for " programmi"

showing 10 items of 1629 documents

Patient Specific Instrumentation for Total Knee Arthroplasty: a Literature Review

2014

During the past decade, total knee arthroplasty (TKA) has been markedly increased. Recently, patient-specific custom cutting guides have been commercially introduced in order to achieve an accurate component alignment during TKA. In fact, these cutting blocks are specific to a patient’s knee anatomy and should help the surgeons to perform bone cuts, reducing the complexity of conventional alignment and sizing tools. Nevertheless, there are critical arguments against patient-specific cutting guides for routine use, such as poor evidence and higher costs. Additionally, there are still no mild and long-term results available that describe the clinical outcomes following patient-specific instru…

musculoskeletal diseasesmedicine.medical_specialtyKnee JointTotal knee arthroplastytotal knee arthroplasty patient specific instrumentation PSI knee ProsthesisSettore MED/33 - Malattie Apparato LocomotoreMedicineHumansOrthopedics and Sports MedicineComponent alignmentInstrumentation (computer programming)Arthroplasty Replacement KneeEvidence-Based Medicinebusiness.industryMagnetic Resonance ImagingSurgeryTreatment OutcomePatient specific instrumentationSurgery Computer-AssistedOrthopedic surgeryPractice Guidelines as TopicPhysical therapySurgerybusinessKnee ProsthesisTomography X-Ray Computed
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Operator-Related Errors and Pitfalls in Dual Energy X-Ray Absorptiometry: How to Recognize and Avoid Them.

2020

Dual-energy X-ray absorptiometry (DXA) is the most common modality for quantitative measurements of bone mineral density. Nevertheless, errors related to this exam are still very common, and may significantly impact on the final diagnosis and therapy. Operator-related errors may occur during each DXA step and can be related to wrong patient positioning, error in the acquisition process or in the scan analysis. The aim of this review is to provide a practical guide on how to recognize such errors in spine and hip DXA scan and how to avoid them, also presenting some of the most common artifacts encountered in clinical practice.

musculoskeletal diseasesmedicine.medical_specialtymedicine.diagnostic_testComputer sciencePatient positioningPatient PositioningSpine030218 nuclear medicine & medical imagingClinical Practice03 medical and health sciences0302 clinical medicineOperator (computer programming)Absorptiometry PhotonBone Density030220 oncology & carcinogenesismedicineHumansOsteoporosisRadiology Nuclear Medicine and imagingMedical physicsDual-energy X-ray absorptiometryAcademic radiology
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Nesting Problems : Exact and Heuristic Algorithms

2013

Nesting problems are two-dimensional cutting and packing problems involving irregular shapes. This thesis is focused on real applications on Nesting problems such as the garment industry or the glass cutting. The aim is to study different mathematical methodologies to obtain good lower bounds by exact procedures and upper bounds by heuristic algorithms. The core of the thesis is a mathematical model, a Mixed Integer Programming model, which is adapted in each one of the parts of the thesis. This study has three main parts: first, an exact algorithm for Nesting problems when rotation for the pieces is not allowed; second, an Iterated Greedy algorithm to deal with more complex Nesting problem…

nestingcutting and packing:MATEMÁTICAS::Investigación operativa::Programación entera [UNESCO]integer programming:MATEMÁTICAS::Investigación operativa [UNESCO]UNESCO::MATEMÁTICAS::Investigación operativaUNESCO::MATEMÁTICAS::Investigación operativa::Programación entera
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A Multi-Objective Design Approach for the c Chart Considering Taguchi Loss Function

2014

The present paper proposes a multi-objective design approach for the c chart, considering in the optimization process of the chart parameters both the statistical and the economic objectives. In particular, the minimization of the hourly total quality related costs is the considered objective to carry out the economic goal, whereas the statistical objective is reached by the minimization the out-of-control average run length of the chart. A mixed integer non-linear constrained mathematical model is formulated to solve the treated multi-objective optimization problem, whereas the Pareto optimal frontier is described by the «-constraint method. In order to show the employment of the proposed …

non-linear constrained mathematical programming ModelTaguchi loss functione-constraint methodstatistical process controlPareto optimal frontiermulti-objective optimization problemSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Continuous models combining slacks-based measures of efficiency and super-efficiency

2022

AbstractIn the framework of data envelopment analysis (DEA), Tone (Eur J Oper Res 130(3):498–509, 2001) introduced the slacks-based measure (SBM) of efficiency, which is a nonradial model that incorporates all the slacks of the evaluated decision-making units (DMUs) into their efficiency scores, unlike classical radial efficiency models. Next, Tone (Eur J Oper Res 143(1):32–41, 2002) developed the SBM super-efficiency model in order to differentiate and rank efficient DMUs, whose SBM efficiency scores are always 1. However, as pointed out by Chen (Eur J Oper Res 226(2):258–267, 2013), some interpretation problems arise when the so-called super-efficiency projections are weakly efficient, le…

nonlinear programmingsuper-inefficiencydata envelopment analysisUNESCO::CIENCIAS TECNOLÓGICASManagement Science and Operations Researchsuper-efficiencyCentral European Journal of Operations Research
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Modeling epidemics through ladder operators

2020

Highlights • We propose an operatorial model to describe epidemics. • The model describes well the asymptotic numbers of the epidemics. • Ladder operators are used to model exchanges between the “actors” of the system.

operatorial modelCoronavirus disease 2019 (COVID-19)Computer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)General MathematicsGeneral Physics and Astronomy01 natural sciencesMeasure (mathematics)Quantitative Biology::OtherArticle010305 fluids & plasmasOperator (computer programming)Simple (abstract algebra)0103 physical sciencesApplied mathematicsQuantitative Biology::Populations and EvolutionLimit (mathematics)Quantitative Biology - Populations and Evolution010301 acousticsSettore MAT/07 - Fisica MatematicaApplied MathematicsPopulations and Evolution (q-bio.PE)Statistical and Nonlinear PhysicsComputer Science::Social and Information NetworksTransformation (function)Ladder operatorspreading of newsFOS: Biological sciences( H ρ ) -induced dynamicChaos, Solitons, and Fractals
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Asymptotic Lipschitz regularity for tug-of-war games with varying probabilities

2018

We prove an asymptotic Lipschitz estimate for value functions of tug-of-war games with varying probabilities defined in $\Omega\subset \mathbb R^n$. The method of the proof is based on a game-theoretic idea to estimate the value of a related game defined in $\Omega\times \Omega$ via couplings.

osittaisdifferentiaaliyhtälötPure mathematicsComputer Science::Computer Science and Game TheoryTug of war010102 general mathematicslocal Lipschitz estimatesLipschitz continuity01 natural sciencesnormalized p(x)-laplaciandynamic programming principle010104 statistics & probabilityMathematics - Analysis of PDEsFOS: Mathematicspeliteoria91A05 91A15 91A50 35B65 35J60 35J92stochastic games0101 mathematicsValue (mathematics)AnalysisAnalysis of PDEs (math.AP)Mathematicsstokastiset prosessit
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Diverse partner selection with brood recombination in genetic programming

2018

The ultimate goal of learning algorithms is to find the best solution from a search space without testing each and every solution available in the search space. During the evolution process new solutions (children) are produced from existing solutions (parents), where new solutions are expected to be better than existing solutions. This paper presents a new parent selection method for the crossover operation in genetic programming. The idea is to promote crossover between two behaviourally (phenotype) diverse parents such that the probability of children being better than their parents increases. The relative phenotype strengths and weaknesses of pairs of parents are exploited to find out i…

partner selectionkoneoppiminenbrood recombinationgeneettiset algoritmitmonimuotoisuusgenetic programmingevoluutiolaskenta
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Need for speed? Exploring the relative importance of patents and utility models among German firms

2017

Despite the wide use of two-tiered patent systems (patents and utility models (UMs)), there is little empirical evidence about how often UMs are actually used, what kind of firms use them to protect their intellectual property, and how firms rank them relative to patents. We offer such an analysis using data from Germany. We find that larger firms are more likely to use both protection methods. Moreover, a short life cycle of products and services is associated with an increased likelihood to use UMs. The features and functioning of the German UM system are of broader interest because it has been a benchmark for several second tier patent protection systems around the world. peerReviewed

patentsIntellectual propertyGermanManagement of Technology and InnovationBenchmark (surveying)Germany0502 economics and businessEconomics050207 economicsEmpirical evidenceintellectual property strategyta512Utility modelta511Public economics05 social sciencesRank (computer programming)patenttijärjestelmäthyödyllisyysmallitShort lifelanguage.human_languagetwo-tiered patent systemutility modellanguagePatentpatentitPatent systemGeneral Economics Econometrics and Finance050203 business & managementEconomics of Innovation and New Technology
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Hard x-ray photoelectron spectroscopy: a snapshot of the state-of-the-art in 2020

2021

Journal of physics / Condensed matter 33(23), 233001 (1-44) (2021). doi:10.1088/1361-648X/abeacd

photoemission spectroscopyPhotoemission spectroscopyComputer sciencephotoelectron spectroscopy02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesEngineering physics530X-ray photoelectron spectroscopyhard x-ray photoelectron spectroscopy0103 physical sciencesSnapshot (computer storage)General Materials Scienceddc:530Instrumentation (computer programming)010306 general physics0210 nano-technologyDen kondenserade materiens fysik
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