Search results for "NETWORKS"

showing 10 items of 3260 documents

A compact linear Paul trap cooler buncher for CRIS

2020

A gas-filled linear Paul trap for the Collinear Resonance Ionisation Spectroscopy (CRIS) experiment at ISOLDE, CERN is currently under development. The trap is designed to accept beam from both ISOLDE target stations and the CRIS stable ion source. The motivation for the project along with the current design, simulations and future plans, will be outlined. peerReviewed

Nuclear and High Energy Physicsspektroskopiatutkimuslaitteet7. Clean energy01 natural sciencesTrap (computing)Nuclear physics0103 physical sciences3D-tulostusDalton Nuclear InstituteNuclear Experiment010306 general physicsInstrumentationPhysicsLarge Hadron Collider010401 analytical chemistryion trapping3D printingIon source0104 chemical sciencesResearchInstitutes_Networks_Beacons/dalton_nuclear_institutelaser spectroscopyPhysics::Accelerator PhysicsIon trapydinfysiikkaBeam (structure)Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Classification and retrieval on macroinvertebrate image databases

2011

Aquatic ecosystems are continuously threatened by a growing number of human induced changes. Macroinvertebrate biomonitoring is particularly efficient in pinpointing the cause-effect structure between slow and subtle changes and their detrimental consequences in aquatic ecosystems. The greatest obstacle to implementing efficient biomonitoring is currently the cost-intensive human expert taxonomic identification of samples. While there is evidence that automated recognition techniques can match human taxa identification accuracy at greatly reduced costs, so far the development of automated identification techniques for aquatic organisms has been minimal. In this paper, we focus on advancing …

NymphAquatic OrganismsInsectaDatabases FactualComputer scienceBayesian probabilityta1172Health InformaticsMachine learningcomputer.software_genreData retrievalRiversSupport Vector MachinesImage Processing Computer-AssistedAnimalsMultilayer perceptronsEcosystemta113Network architectureBenthic macroinvertebrateta112Artificial neural networkta213business.industryBayesian networkBayes TheoremPerceptronClassificationRadial basis function networksComputer Science ApplicationsSupport vector machineBiomonitoringBayesian NetworksData miningArtificial intelligenceNeural Networks ComputerbusinesscomputerClassifier (UML)AlgorithmsEnvironmental MonitoringComputers in Biology and Medicine
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Metadata-based Personalization in Data Warehouses

2015

Lielā datu noliktavās uzkrāto datu un atskaišu apjoma dēļ, atskaišu izpilde un pārlūkošana var būt nogurdinoša un laikietilpīga. Turklāt, lietotājs ir visai ierobežots savu vēlmju izteikšanā kvalitatīvāku rezultātu iegūšanai (arī komerciālos datu noliktavu atskaišu rīkos). Taču, ir jēga veikt eksperimentus personalizācijas iespēju jomā, kuru mērķis būtu lietotāja vajadzībām atbilstošu datu sniegšana, jo datu noliktavu personalizācijas pētījumi šobrīd ir attīstības stadijā. Pēc veiktā esošo datu noliktavu personalizācijas pieeju salīdzinājuma, pētījums tika attīstīts atskaišu rekomendāciju jomā, kurš balstās uz tiešā vai netiešā veidā iegūtiem lietotāja iestatījumiem par datu noliktavas shēm…

OLAPdatu noliktavaatskaitesDatorzinātnesreportsrecommendationspersonalizācijaData processing systems and computer networksdata warehouserekomendācijasComputer sciencepersonalization
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Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours—A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and …

2022

Several optical imaging techniques have been developed to ease the burden of skin cancer disease on our health care system. Hyperspectral images can be used to identify biological tissues by their diffuse reflected spectra. In this second part of a three-phase pilot study, we used a novel hand-held SICSURFIS Spectral Imager with an adaptable field of view and target-wise selectable wavelength channels to provide detailed spectral and spatial data for lesions on complex surfaces. The hyperspectral images (33 wavelengths, 477–891 nm) provided photometric data through individually controlled illumination modules, enabling convolutional networks to utilise spectral, spatial, and skin-surface mo…

OPTICAL COHERENCE TOMOGRAPHYskin cancerhyperspectral imagingskin imagingphotometric stereoMELANOMAGeneral Medicineneuroverkotdiagnostiikkabiomedical optical imagingnon-invasive imagingDIAGNOSISCANCERoptical modellingkarsinoomatCLASSIFICATIONihosyöpäkoneoppiminenSDG 3 - Good Health and Well-beingbiomedical optical imaging; convolutional neural networks; hyperspectral imaging; non-invasive imaging; optical modelling; photometric stereo; skin cancer; skin imaging3121 General medicine internal medicine and other clinical medicineconvolutional neural networks/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingmelanoomahyperspektrikuvantaminen
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Predictive assessment of ochratoxin A accumulation in grape juice based-medium by Aspergillus carbonarius using neural networks

2009

Aims: To study the ability of multi-layer perceptron artificial neural networks (MLP-ANN) and radial-basis function networks (RBFNs) to predict ochratoxin A (OTA) concentration over time in grape-based cultures of Aspergillus carbonarius under different conditions of temperature, water activity (a(w)) and sub-inhibitory doses of the fungicide carbendazim. Methods and Results: A strain of A. carbonarius was cultured in a red grape juice-based medium. The input variables to the network were temperature (20-28 degrees C), a(w) (0 center dot 94-0 center dot 98), carbendazim level (0-450 ng ml(-1)) and time (3-15 days after the lag phase). The output of the ANNs was OTA level determined by liqui…

Ochratoxin AWater activityMycotoxigenic fungiAspergillus carbonariusModels BiologicalApplied Microbiology and BiotechnologyGrape-based productsTECNOLOGIA ELECTRONICAchemistry.chemical_compoundPredictive mycologyPredictive Value of TestsComputer SimulationVitisFood scienceMycotoxinOchratoxinArtificial neural networkbiologyCarbendazimAspergillus nigerTemperatureWaterOchratoxin AGeneral MedicineMycotoxinsbiology.organism_classificationOchratoxinsCulture MediaFungicides IndustrialFungicideAspergilluschemistryFood MicrobiologyBenzimidazolesCarbamatesNeural Networks ComputerNeural networksBiotechnology
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Gatekeeper of pluripotency: A common Oct4 transcriptional network operates in mouse eggs and embryonic stem cells

2011

Abstract Background Oct4 is a key factor of an expanded transcriptional network (Oct4-TN) that governs pluripotency and self-renewal in embryonic stem cells (ESCs) and in the inner cell mass from which ESCs are derived. A pending question is whether the establishment of the Oct4-TN initiates during oogenesis or after fertilisation. To this regard, recent evidence has shown that Oct4 controls a poorly known Oct4-TN central to the acquisition of the mouse egg developmental competence. The aim of this study was to investigate the identity and extension of this maternal Oct4-TN, as much as whether its presence is circumscribed to the egg or maintained beyond fertilisation. Results By comparing …

Octamer Transcription Factor-3lcsh:QH426-470lcsh:BiotechnologycellsGene regulatory networkDown-RegulationBiologyTranscriptomeMicelcsh:TP248.13-248.65GeneticsInner cell massAnimalsGene Regulatory NetworksEmbryonic Stem Cellsreproductive and urinary physiologyOligonucleotide Array Sequence AnalysisGeneticsGene Expression ProfilingfungiEmbryoEmbryonic stem cellGene expression profilinglcsh:GeneticsMultigene FamilyCancer cellembryonic structuresOocytesFemalebiological phenomena cell phenomena and immunityFunction and Dysfunction of the Nervous SystemOctamer Transcription Factor-3Research ArticleBiotechnologyBMC Genomics
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Scheduling of Real-Time Networks with a Column Generation Approach

2013

We present an algorithm based on column generation for the real-time scheduling problem of allocating periodic tasks to electronic control units in multiple subsystems connected by a global bus. The allocation has to ensure that tasks can be scheduled, and messages between tasks in different subsystems can be transmitted over the global bus and meet their deadlines. Also tasks and messages occurring in a task chain must be scheduled in a way such that the sequence of execution meets their end-to-end deadline. We show that our approach computes the optimal allocation in our model and due to the column generation approach early provides lower bounds on the optimal value.

On columnRate-monotonic schedulingJob shop schedulingComputer scienceDistributed computingOptimal allocationColumn generationReal time networksDeadline-monotonic schedulingScheduling (computing)
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Whole-brain radiotherapy or autologous stem-cell transplantation as consolidation strategies after high-dose methotrexate-based chemoimmunotherapy in…

2017

Background The International Extranodal Lymphoma Study Group-32 (IELSG32) trial is an international randomised phase 2 study that addresses two key clinical questions in the treatment of patients with newly diagnosed primary CNS lymphoma. Results of the first randomisation have demonstrated that methotrexate, cytarabine, thiotepa, and rituximab (called the MATRix regimen) is the induction combination associated with significantly better outcome compared with the other induction combinations tested. Here, we report the results of the second randomisation that addresses the efficacy of myeloablative chemotherapy supported by autologous stem-cell transplantation (ASCT), as an alternative to wh…

OncologyAdultMalemedicine.medical_specialtyautologous stem cell transplantationAdolescentLymphomaMedizinprimary CNS lymphoma whole brain radiotherapy autologous stem cell transplantationPhases of clinical researchThioTEPATransplantation AutologousDisease-Free SurvivalCentral Nervous System Neoplasms03 medical and health sciencesYoung Adult0302 clinical medicineAutologous stem-cell transplantationprimary CNS lymphomaChemoimmunotherapyInternal medicineJournal ArticleMedicineHumansAgedManchester Cancer Research CentreDose-Response Relationship Drugbusiness.industryResearchInstitutes_Networks_Beacons/mcrcInduction chemotherapyBrainHematologyMiddle AgedCombined Modality Therapy3. Good healthSurgeryTransplantationRegimenMethotrexate030220 oncology & carcinogenesiswhole brain radiotherapyRituximabFemalebusiness030215 immunologymedicine.drugStem Cell Transplantation
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Expression of cell cycle markers and human papillomavirus infection in oral squamous cell carcinoma: use of fuzzy neural networks.

2005

Our aim was to evaluate in oral squamous cell carcinoma (OSCC) the relationship between some cell cycle markers and HPV infection, conditionally to age, gender and certain habits of patients, and to assess the ability of fuzzy neural networks (FNNs) in building up an adequate predictive model based on logic inference rules. Eighteen cases of OSCC were examined by immunohistochemistry for MIB-1, PCNA and survivin expression; presence of HPV DNA was investigated in exfoliated oral mucosa cells by nested PCR (nPCR, MY09-MY11/GP5-GP6), and HPV genotype was determined by direct DNA sequencing. Data were analyzed by traditional statistics (TS) and FNNs. HPV DNA was found in 9/18 OSCCs (50.0 %) wi…

OncologyMaleCancer ResearchSurvivinmedicine.disease_causeInhibitor of Apoptosis ProteinsRisk FactorsOral mucosaPapillomaviridaeAged 80 and overCell CycleSmokingHPV infectionAge FactorsAnatomical pathologyCell cycleMiddle AgedImmunohistochemistryNeoplasm Proteinsoral squamous cell carcinomamedicine.anatomical_structureCell Transformation NeoplasticOncologyCarcinoma Squamous CellImmunohistochemistryFemaleMouth NeoplasmscarcinogenesisMicrotubule-Associated ProteinsAdultmedicine.medical_specialtyBiologySex FactorsFuzzy LogicInternal medicineSurvivinmedicineHumanshuman papillomaviruAgedfuzzy neural networkGene Expression ProfilingPapillomavirus Infectionsmedicine.diseaseProliferating cell nuclear antigenstomatognathic diseasesImmunologyDNA Viralbiology.proteinNeural Networks ComputerCarcinogenesisInternational journal of cancer
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Prognostic factors for progression-free and overall survival in advanced biliary tract cancer

2015

BACKGROUND: Biliary tract cancer is an uncommon cancer with a poor outcome. We assembled data from the National Cancer Research Institute (UK) ABC-02 study and 10 international studies to determine prognostic outcome characteristics for patients with advanced disease.METHODS: Multivariable analyses of the final dataset from the ABC-02 study were carried out. All variables were simultaneously included in a Cox proportional hazards model, and backward elimination was used to produce the final model (using a significance level of 10%), in which the selected variables were associated independently with outcome. This score was validated externally by receiver operating curve (ROC) analysis using…

Oncologymedicine.medical_specialtyDisease-Free SurvivalCholangiocarcinoma03 medical and health sciencesAdvanced diseaseCisplatin and gemcitabine0302 clinical medicineInternal medicinemedicineJournal ArticleHumansProgression-free survivalProportional Hazards ModelsPerformance statusReceiver operating characteristicManchester Cancer Research Centrebusiness.industryProportional hazards modelResearch Support Non-U.S. Gov'tResearchInstitutes_Networks_Beacons/mcrcHazard ratioArea under the curveCancerHematologymedicine.diseasePrognosisConfidence intervalSurgeryTreatment OutcomeOncologyBile Duct NeoplasmsROC Curve030220 oncology & carcinogenesisABC-02Multivariate AnalysisBiliary tract cancer030211 gastroenterology & hepatologybusinessPerformance statusPrognostic modelMeta-Analysis
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