Search results for "driven"

showing 10 items of 224 documents

Clinical utility of plasma-based digital next-generation sequencing in oncogene-driven non-small-cell lung cancer patients with tyrosine kinase inhib…

2019

[Objectives] Resistance to tyrosine-kinase inhibitors (TKIs) is a clinical challenge in patients with oncogene-driven non-small-cell lung cancers (NSCLC). We have analyzed the utility of next-generation sequencing (NGS) of cell-free circulating tumor DNA (ctDNA) to impact the clinical care of patients with TKI resistance.

0301 basic medicineOncologyMaleCancer ResearchLung NeoplasmsTyrosine-kinase inhibitorCirculating Tumor DNAchemistry.chemical_compound0302 clinical medicineCarcinoma Non-Small-Cell LungMedicineOsimertinibNeoplasm MetastasisProspective cohort studyAged 80 and overDisease ManagementHigh-Throughput Nucleotide SequencingMiddle AgedOncology030220 oncology & carcinogenesisFemalemedicine.drugPulmonary and Respiratory MedicineAdultmedicine.medical_specialtyCabozantinibmedicine.drug_class03 medical and health sciencesInternal medicineROS1Biomarkers TumorHumansLung cancerProtein Kinase InhibitorsAgedNeoplasm StagingDigital next-generation sequencingTKI resistanceCrizotinibbusiness.industryOncogene-driven NSCLCOncogenesctDNAmedicine.diseaseLorlatinibrespiratory tract diseases030104 developmental biologychemistryDrug Resistance NeoplasmMutationbusinessOsimertinib
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On the structural connectivity of large-scale models of brain networks at cellular level

2021

AbstractThe brain’s structural connectivity plays a fundamental role in determining how neuron networks generate, process, and transfer information within and between brain regions. The underlying mechanisms are extremely difficult to study experimentally and, in many cases, large-scale model networks are of great help. However, the implementation of these models relies on experimental findings that are often sparse and limited. Their predicting power ultimately depends on how closely a model’s connectivity represents the real system. Here we argue that the data-driven probabilistic rules, widely used to build neuronal network models, may not be appropriate to represent the dynamics of the …

0301 basic medicineProcess (engineering)Computer scienceScienceModels NeurologicalCellular levelMachine learningcomputer.software_genreArticle03 medical and health sciencesComputational biophysics0302 clinical medicineSettore MAT/05 - Analisi MatematicamedicineBiological neural networkHumansSettore MAT/07 - Fisica MatematicaOn the structural connectivity of large-scale models of brain networks at cellular levelSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNeuronsMultidisciplinaryNetwork modelsSettore INF/01 - Informaticabusiness.industryQRProbabilistic logicBrain030104 developmental biologymedicine.anatomical_structureMathematical framework Neuron networks Large‑scale model Data‑driven probabilistic rules Modeling cellular-level brain networksMedicineNeuronArtificial intelligencebusinessScale modelcomputer030217 neurology & neurosurgeryScientific Reports
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An Interactive Framework for Offline Data-Driven Multiobjective Optimization

2020

We propose a framework for solving offline data-driven multiobjective optimization problems in an interactive manner. No new data becomes available when solving offline problems. We fit surrogate models to the data to enable optimization, which introduces uncertainty. The framework incorporates preference information from a decision maker in two aspects to direct the solution process. Firstly, the decision maker can guide the optimization by providing preferences for objectives. Secondly, the framework features a novel technique for the decision maker to also express preferences related to maximum acceptable uncertainty in the solutions as preferred ranges of uncertainty. In this way, the d…

050101 languages & linguisticsDecision support systemMathematical optimizationOptimization problemdecision supportComputer scienceEvolutionary algorithmGaussian processespäätöksentukijärjestelmät02 engineering and technologyMulti-objective optimizationdecision makingData-driven0202 electrical engineering electronic engineering information engineeringmetamodelling0501 psychology and cognitive sciencessurrogateInteractive visualization05 social sciencesgaussiset prosessitmonitavoiteoptimointiMetamodelingKriging020201 artificial intelligence & image processingdecomposition-based MOEAkriging-menetelmäCognitive load
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Learning from learners: a non-standard direct approach to the teaching of writing skills in EFL in a university context

2016

Corpora have been used in English as a foreign language materials for decades, and native corpora have been present in the classroom by means of direct approaches such as Data-Driven Learning (Johns, T., and P. King 1991. 'Should you be Persuaded'- Two Samples of Data-Driven Learning Materials. In Classroom Concordancing,1-16. Birmingham University. English Language Research Journal 4.). However, the suitability of using learners' output in classroom tasks remains controversial. This paper describes a pilot study in the application of a non-standard direct approach where Spanish university students are invited to reflect on their production. In the experiment, carried out in several sessions…

060201 languages & linguisticsLinguistics and LanguageComputer scienceDirect methodTeaching methodLlengües modernesContext (language use)06 humanities and the artsLanguage and LinguisticsEducationWriting skills0602 languages and literaturePedagogySelection (linguistics)ComputingMilieux_COMPUTERSANDEDUCATIONLearner autonomyComputational linguisticsData-driven learning
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An edge-driven 3D region growing approach for upper airways morphology and volume evaluation in patients with Pierre Robin sequence

2016

In this paper, a semi-automatic approach for segmentation of the upper airways is proposed. The implemented approach uses an edge-driven 3D region-growing algorithm to segment ROIs and 3D volume-rendering technique to reconstruct the 3D model of the upper airways. This method can be used to integrate information inside a medical decision support system, making it possible to enhance medical evaluation. The effectiveness of the proposed segmentation approach was evaluated using Jaccard (92.1733%) and dice (94.6441%) similarity indices and specificity (96.8895%) and sensitivity (97.6682%) rates. The proposed method achieved an average computation time reduced by a 16x factor with respect to m…

3d region growing edge driven segmentation airway segmentation
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Efficacy of an internet-based psychological intervention for problem gambling and gambling disorder: study protocol for a randomized controlled trial

2021

Gambling Disorder is a prevalent non-substance use disorder, which contrasts with the low number of people requesting treatment. Information and Communication Technologies (ICT) could help to enhance the dissemination of evidence-based treatments and considerably reduce the costs. The current study seeks to assess the efficacy of an online psychological intervention for people suffering from gambling problems in Spain. The proposed study will be a two-arm, parallel-group, randomized controlled trial. A total of 134 participants (problem and pathological gamblers) will be randomly allocated to a waiting list control group (N = 67) or an intervention group (N = 67). The intervention program i…

A ActionDGOJ Directorate General for the Regulation of GamblingCIDI Composite International Diagnostic InterviewPA Positive AffectSPIRIT Standard Protocol Items Recommendations for Interventional TrialsefficacyPsychological interventionMotivational interviewingGE Gambling ExpectanciesDSM-IV Diagnostic and Statistical Manual of Mental Disorders Fourth EditionOASIS The Overall Anxiety Severity and Impairment Scalelaw.inventionDERS Difficulties in Emotion Regulation ScaleRandomized controlled triallawPANAS The Positive and Negative Affect SchedulePsychologyRCT Randomized Controlled TrialUPPS-P The Short UPPS-P Impulsivity ScaleICD-10 International Statistical Classification of Diseases and Related Health Problems 10th RevisionCognitionT58.5-58.64GRCS-S Gambling-Related Cognitions ScalePC Predictive ControlBF1-990EDBs Emotion Driven BehavioursC ContemplationGSEQ Gambling Self-Efficacy QuestionnaireDSM-5 Diagnostic and Statistical Manual of Mental Disorders Fifth EditionAnxietyAddicció a Internetmedicine.symptomMI Motivational InterviewingPsychologyJocs per ordinadorM Maintenancemedicine.medical_specialtyemotion regulationG-SAS The Gambling Symptom Assessment ScaleEMA Ecological Momentary AssessmentODSIS The Overall Depression Severity and Impairment ScaleEfficacyWL Waiting ListIC Illusion of ControlIB Interpretative BiasMFS Monitoring Feedback and SupportCBTHealth InformaticsInformation technologyCBT Cognitive Behavioral TherapyImpulsivityCONSORT-EHEALTH Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online TelehealthISG Perceived Inability to Stop GamblingQuality of life (healthcare)URICA The University of Rhode Island Change Assessment ScaleIntervention (counseling)medicineGD Gambling DisorderSCID-P The Structured Clinical InterviewPsychiatryQLI Quality Life IndexInternetEmotion regulationFull length ArticleSUS System Usability ScalegamblingEMI Ecological Momentary InterventionMINI Mini International Neuropsychiatric InterviewGI Gambling history interview and current gambling situation and related variables assessmentNA Negative AffectGamblingNODS NORC DSM-IV Screen for Gambling ProblemsPFIs Personal Feedback InterventionsDSM-III-R Diagnostic and Statistical Manual of Mental Disorders 3rd Edition RevisedHADS Hospital Anxiety Depression ScaleinternetP Precontemplation
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The activity-based costing method developments: state-of-the art and case study

2008

International audience; This paper analyses the management accounting applications which try to improve the Activity-based Costing method. In the first part, we describe them using the Strategic Management Accounting stream. Then, we present the main features of these applications. In the second part, we examine in details two of these features: The widening of the analysis perimeter and the relevant level of details to analyse the costs. Then, we analyse several proposals: Customer Profitability Analysis (CPA), Interorganizational Cost Management (IOCM), Resource Consumption Accounting (RCA) and Time-driven ABC (TDABC). Finally, we describe an experience observed in the IT supply European …

Activity-based CostingCase study[SHS.GESTION]Humanities and Social Sciences/Business administrationTime-driven ABCCase studyActivity-based CostingStrategic Management AccountingTime-driven ABCCase study.Case study.[SHS.GESTION] Humanities and Social Sciences/Business administrationActivity-based Costing;Strategic Management Accounting;Time-driven ABC;Case study.Strategic Management Accounting[ SHS.GESTION ] Humanities and Social Sciences/Business administrationjel:M40
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Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models

2022

Aquaponic systems provide a reliable solution to grow vegetables while cultivating fish (or other aquatic organisms) in a controlled environment. The main advantage of these systems compared with traditional soil-based agriculture and aquaculture installations is the ability to produce fish and vegetables with low water consumption. Aquaponics requires a robust control system capable of optimizing fish and plant growth while ensuring a safe operation. To support the control system, this work explores the design process of Deep Learning models based on Recurrent Neural Networks to forecast one hour of pH values in small-scale industrial Aquaponics. This implementation guides us through the m…

AquaponicsRecurrent Neural NetworkGated Recurrent UnitData-driven ModellingGeneral MedicineVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Long Short-term MemoryProceedings of the Northern Lights Deep Learning Workshop
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Volumetric Bias Correction

2007

This paper presents a method to suppress the bias artifact, also known as RF-inhomogeneity, in Magnetic Resonance Imaging (MRI). This artifact produces illumination variations due to magnetic field fluctuations of the device. In the latest years many works have been devoted to face this problem. In this work we present the 3D version of a new approach to bias correction, which is called Exponential Entropy Driven Homomorphic Unsharp Masking (E2D-HUM). This technique has been already presented by some of the authors for the 2D case only. The description of the whole method is detailed, and some experimental results are reported.

Artifact (error)business.industryComputer scienceEntropy drivenHomomorphic encryptionBias artifact Rf-inhomogeneity MRIExponential functionMagnetic fieldFace (geometry)Bias correctionComputer visionArtificial intelligencebusinessUnsharp masking
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A 4K-Input High-Speed Winner-Take-All (WTA) Circuit with Single-Winner Selection for Change-Driven Vision Sensors

2019

Winner-Take-All (WTA) circuits play an important role in applications where a single element must be selected according to its relevance. They have been successfully applied in neural networks and vision sensors. These applications usually require a large number of inputs for the WTA circuit, especially for vision applications where thousands to millions of pixels may compete to be selected. WTA circuits usually exhibit poor response-time scaling with the number of competitors, and most of the current WTA implementations are designed to work with less than 100 inputs. Another problem related to the large number of inputs is the difficulty to select just one winner, since many competitors ma…

Artificial neural networkComputer sciencebusiness.industryEvent (computing)020208 electrical & electronic engineering02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAtomic and Molecular Physics and OpticsWinner-take-allAnalytical ChemistryCMOSWinner-Take-All (WTA)Selective Change Driven Vision (SCD)0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185020201 artificial intelligence & image processingElectrical and Electronic EngineeringbusinessInstrumentationSelection (genetic algorithm)Computer hardwareElectronic circuitSensors
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