Search results for "Computer Science Application"

showing 10 items of 3998 documents

FEDRO: a software tool for the automatic discovery of candidate ORFs in plants with c →u RNA editing

2019

RNA editing is an important mechanism for gene expression in plants organelles. It alters the direct transfer of genetic information from DNA to proteins, due to the introduction of differences between RNAs and the corresponding coding DNA sequences. Software tools successful for the search of genes in other organisms not always are able to correctly perform this task in plants organellar genomes. Moreover, the available software tools predicting RNA editing events utilise algorithms that do not account for events which may generate a novel start codon. We present Fedro, a Java software tool implementing a novel strategy to generate candidate Open Reading Frames (ORFs) resulting from Cytidi…

RNA editingComputational biologysoftware toollcsh:Computer applications to medicine. Medical informaticsDNA MitochondrialBiochemistryGenomeDNA sequencingOpen Reading Frames03 medical and health sciences0302 clinical medicineStart codonStructural BiologyORFSlcsh:QH301-705.5Molecular BiologyGeneORFs generation030304 developmental biology0303 health sciencesBase SequenceSettore INF/01 - InformaticaApplied MathematicsOryzaPlantsComputer Science ApplicationsOpen reading framelcsh:Biology (General)RNA editing030220 oncology & carcinogenesisGenome Mitochondriallcsh:R858-859.7DNA microarraySoftware
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Performance assessment of PPP surveys with open source software using the GNSS GPS-GLONASS-Galileo constellations

2020

In this work, the performance of the multi-GNSS (Global Navigation Satellite System) Precise Point Positioning (PPP) technique, in static mode, is analyzed. Specifically, GPS (Global Positioning System), GLONASS, and Galileo systems are considered, and quantifying the Galileo contribution is one of the main objectives. The open source software RTKLib is adopted to process the data, with precise satellite orbits and clocks from CNES (Centre National d&rsquo

RTKLib010504 meteorology & atmospheric sciencesGalileoPPPComputer scienceZTDGPSSatellite system010502 geochemistry & geophysicsPrecise Point Positioning01 natural scienceslcsh:Technologylcsh:Chemistrysymbols.namesakeGalileo (satellite navigation)General Materials ScienceInstrumentationlcsh:QH301-705.50105 earth and related environmental sciencesFluid Flow and Transfer ProcessesGNSSbusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral EngineeringGeodetic datumGalileo; GLONASS; GNSS; GPS; PPP; RTKLib; ZTDGeodesylcsh:QC1-999GLONASSComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999GNSS applicationslcsh:TA1-2040symbolsGlobal Positioning SystemGLONASSSatellitebusinesslcsh:Engineering (General). Civil engineering (General)Settore ICAR/06 - Topografia E Cartografialcsh:Physics
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Application of learning pallets for real-time scheduling by the use of radial basis function network

2013

The expansion of the scope and scale of products in the current business environments causes a continuous increase in complexity of logistics activities. In order to deal with this challenge in planning and control of logistics activities, several solutions have been introduced. One of the most latest one is the application of autonomy. The paradigm of autonomy in inbound logistics, can be reflected in decisions for real-time scheduling and control of material flows. Integration of autonomous control with material carrier objects can realize the expected advantages of this alternative into shop-floors. Since pallets (bins, fixtures, etc.) are some common used carrier objects in logistics, t…

Radial basis function networkArtificial neural networkJob shop schedulingArtificial IntelligenceComputer sciencebusiness.industryCognitive NeurosciencePalletArtificial intelligencebusinessIndustrial engineeringComputer Science ApplicationsScheduling (computing)Neurocomputing
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Evaluation of Epigenetic and Radiomodifying Effects during Radiotherapy Treatments in Zebrafish

2021

Radiotherapy is still a long way from personalizing cancer treatment plans, and its effectiveness depends on the radiosensitivity of tumor cells. Indeed, therapies that are efficient and successful for some patients may be relatively ineffective for others. Based on this, radiobiological research is focusing on the ability of some reagents to make cancer cells more responsive to ionizing radiation, as well as to protect the surrounding healthy tissues from possible side effects. In this scenario, zebrafish emerged as an effective model system to test for radiation modifiers that can potentially be used for radiotherapeutic purposes in humans. The adoption of this experimental organism is fu…

Radiation-Sensitizing AgentsEmbryo NonmammalianQH301-705.5medicine.medical_treatmentEmbryonic DevelopmentSettore BIO/11 - Biologia MolecolareReviewBioinformaticsCatalysisEpigenesis GeneticInorganic Chemistryembryogenesis; epigenetics; radiomodifiers; radiotherapy; zebrafish.In vivomedicineAnimalsEpigeneticsRadiosensitivityBiology (General)Physical and Theoretical ChemistryQD1-999Molecular BiologyZebrafishradiotherapySpectroscopyradiomodifiersepigeneticsbiologybusiness.industryOrganic ChemistryGeneral Medicinezebrafishbiology.organism_classificationComputer Science ApplicationsCancer treatmentRadiation therapyChemistryModels AnimalCancer cellembryogenesisbusinessExperimental OrganismInternational Journal of Molecular Sciences
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Elastic scattering studies of 16C at 50 MeV/A on proton and deuteron targets with the CHIMERA multidetector at INFN-LNS

2012

At the Laboratori Nazionali del Sud (LNS) in Catania (Italy), light radioactive ion beams have been produced through the In Flight Fragmentation method, using 18O and 13C at 55 MeV/A as primary beams impinging on a 9Be production target. Elastic scattering angular distributions of 16C+p and 16C+d at 50 MeV/A, 10Be+p at 56 MeV/A and 13B+d at 52 MeV/A systems were measured by using the CHIMERA (Charge Heavy Ion Mass and Energy Resolving Array) multidetector and kinematical coincidence technique. The experimental data are fitted by using the optical model. © Published under licence by IOP Publishing Ltd.

Radioactive ion beamsElastic scatteringPhysicsradioactive ion beamHistoryPhysics::Medical Physicselastic scatteringtaggingCoincidenceComputer Science ApplicationsEducationNuclear physicsPhysics and Astronomy (all)DeuteriumFragmentation (mass spectrometry)Physics::Accelerator PhysicsHeavy ionAtomic physicsNuclear Experiment
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A complementary laser system for ISOLDE RILIS

2011

The Resonance Ionization Laser Ion Source (RILIS) is a powerful tool for efficient and selective production of radioactive ion beams at Isotope Separator On Line (ISOL) facilities. To avoid isobaric background, highly selective stepwise resonant ionization is applied, using up to three different laser wavelengths. Due to their advantages in terms of stability and reliability, an all solid-state titanium:sapphire (Ti:Sa) system is used or is planned to be installed at the majority of on-line facilities worldwide. Such an all solid-state Ti:Sa laser system is going to be installed at the ISOLDE RILIS at CERN alongside the well-established dye laser system.

Radioactive ion beamsHistoryDye laserbusiness.industryChemistryRadiochemistryPhysics::OpticsHighly selectiveLaserIon sourceComputer Science ApplicationsEducationlaw.inventionlawIonizationResonance ionizationSapphirePhysics::Accelerator PhysicsOptoelectronicsPhysics::Atomic PhysicsNuclear ExperimentbusinessJournal of Physics: Conference Series
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Estimation of Personalized Minimal Purkinje Systems From Human Electro-Anatomical Maps

2021

The Purkinje system is a heart structure responsible for transmitting electrical impulses through the ventricles in a fast and coordinated way to trigger mechanical contraction. Estimating a patient-specific compatible Purkinje Network from an electro-anatomical map is a challenging task, that could help to improve models for electrophysiology simulations or provide aid in therapy planning, such as radiofrequency ablation. In this study, we present a methodology to inversely estimate a Purkinje network from a patient's electro-anatomical map. First, we carry out a simulation study to assess the accuracy of the method for different synthetic Purkinje network morphologies and myocardial junct…

Radiological and Ultrasound Technologybusiness.industryComputer scienceHeart VentriclesMyocardiumNetwork structureTherapy planningPattern recognitionComputer Science ApplicationsPurkinje FibersElectrocardiographyElectrophysiologyHumansComputer SimulationTime errorArtificial intelligenceElectrical and Electronic EngineeringbusinessHeart structureContraction (operator theory)SoftwareIEEE Transactions on Medical Imaging
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A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning

2017

The aim of this study is to combine Biological Target Volume (BTV) segmentation and Gross Target Volume (GTV) segmentation in stereotactic neurosurgery.Our goal is to enhance Clinical Target Volume (CTV) definition, including metabolic and morphologic information, for treatment planning and patient follow-up.We propose a fully automatic approach for multimodal PET and MR image segmentation. This method is based on the Random Walker (RW) and Fuzzy C-Means clustering (FCM) algorithms. A total of 19 brain metastatic tumors, undergone stereotactic neuro-radiosurgery, were retrospectively analyzed. A framework for the evaluation of multimodal PET/MRI segmentation is presented, considering volume…

Radiotherapy PlanningBrain tumorHealth Informatics02 engineering and technologyFuzzy C-means clusteringRadiosurgeryBrain tumorsMultimodal ImagingING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI030218 nuclear medicine & medical imaging03 medical and health sciencesComputer-Assisted0302 clinical medicineRandom walker algorithm0202 electrical engineering electronic engineering information engineeringHumansMedicineSegmentationComputer visionRadiation treatment planningCluster analysisImage resolutionPET/MR imagingModality (human–computer interaction)Brain Neoplasmsbusiness.industryRadiotherapy Planning Computer-AssistedINF/01 - INFORMATICAMultimodal therapymedicine.diseaseRandom Walker algorithmMagnetic Resonance ImagingComputer Science ApplicationsBrain tumorGamma knife treatmentPositron-Emission Tomography020201 artificial intelligence & image processingMultimodal image segmentationBrain tumors; Fuzzy C-means clustering; Gamma knife treatments; Multimodal image segmentation; PET/MR imaging; Random Walker algorithm; Brain Neoplasms; Humans; Radiosurgery; Magnetic Resonance Imaging; Multimodal Imaging; Positron-Emission Tomography; Radiotherapy Planning Computer-AssistedArtificial intelligencebusinessGamma knife treatmentsSoftware
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Second-order tensorial calibration for kinetic spectrophotometric determination

1996

Abstract Kinetic-diode array spectrophotometric detection, as well as other multichannel techniques when used in non-equilibrium conditions, constitute second-order instrumentation. The second-order response provided will be bilinear, under certain conditions even trilinear, thus allowing the use of the generalized rank annihilation method (GRAM) and the trilinear decomposition method (TLD). Both numerically simulated and experimental data were used to evaluate the performance of these calibration techniques. The conditions in which the ‘second-order advantage’ (the possibility of quantifying the analytes in the presence of unknown reactions or interferences) is preserved were investigated.…

Rank (linear algebra)ChemistryProcess Chemistry and TechnologyInstrumentationAnalytical chemistryBilinear interpolationKinetic energyComputer Science ApplicationsAnalytical ChemistryReaction rate constantCalibrationData analysisSpectroscopySoftwareGramChemometrics and Intelligent Laboratory Systems
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Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition with Spatial Sparsity Constraint

2022

Tucker decomposition can provide an intuitive summary to understand brain function by decomposing multi-subject fMRI data into a core tensor and multiple factor matrices, and was mostly used to extract functional connectivity patterns across time/subjects using orthogonality constraints. However, these algorithms are unsuitable for extracting common spatial and temporal patterns across subjects due to distinct characteristics such as high-level noise. Motivated by a successful application of Tucker decomposition to image denoising and the intrinsic sparsity of spatial activations in fMRI, we propose a low-rank Tucker-2 model with spatial sparsity constraint to analyze multi-subject fMRI dat…

Rank (linear algebra)Computer scienceMatrix normlow-rankmatrix decompositionsymbols.namesaketoiminnallinen magneettikuvausOrthogonalitytensorsTensor (intrinsic definition)Kronecker deltaTucker decompositionHumansElectrical and Electronic Engineeringcore tensorsparsity constraintRadiological and Ultrasound Technologybusiness.industrysignaalinkäsittelyfeature extractionsparse matricesBrainPattern recognitionbrain modelingMagnetic Resonance Imagingfunctional magnetic resonance imagingComputer Science ApplicationsConstraint (information theory)data modelssymbolsNoise (video)Artificial intelligencebusinessmulti-subject fMRI dataSoftwareAlgorithmsTucker decomposition
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