Search results for "STED"

showing 10 items of 2256 documents

Image Segmentation Techniques for Healthcare Systems

2019

The present special issue of the Journal of Healthcare Engineering collects articles written by researchers scattered around the world who belong to the academic and industrial environments. The papers of this special issue have been selected by a rigorous peer-reviewing process with the support of at least two reviewers per paper, along with the opinion written in the final decision by a component of the editorial staff. Different methods on biomedical image segmentation dedicated to healthcare systems have been developed regarding, for example, the fields of machine learning, deformable models, fuzzy models, and so on. Such methods have been applied on different biomedical image modalitie…

lcsh:Medical technologyArticle SubjectComputer scienceBiomedical EngineeringMEDLINEHealth InformaticsImage processingImage Interpretation Computer-AssistedImage Processing Computer-AssistedHumansComputer visionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionilcsh:R5-920Settore INF/01 - Informaticabusiness.industrySegmentation Healthcare Remote Support Medical Imaging Diagnosis Support SystemsImage segmentationEditoriallcsh:R855-855.5Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaSurgeryArtificial intelligencebusinesslcsh:Medicine (General)Delivery of Health CareBiotechnologyHealthcare systemJournal of Healthcare Engineering
researchProduct

Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis.

2020

AbstractBackgroundNonnegative matrix factorization (NMF) has been successfully used for electroencephalography (EEG) spectral analysis. Since NMF was proposed in the 1990s, many adaptive algorithms have been developed. However, the performance of their use in EEG data analysis has not been fully compared. Here, we provide a comparison of four NMF algorithms in terms of accuracy of estimation, stability (repeatability of the results) and time complexity of algorithms with simulated data. In the practical application of NMF algorithms, stability plays an important role, which was an emphasis in the comparison. A Hierarchical clustering algorithm was implemented to evaluate the stability of NM…

lcsh:Medical technologyComputer scienceBiomedical EngineeringStability (learning theory)ElectroencephalographySignal-To-Noise RatioClusteringNon-negative matrix factorizationBiomaterialsNonnegative matrix factorization03 medical and health sciencesklusterit0302 clinical medicineEeg dataalgoritmitmedicineHumansRadiology Nuclear Medicine and imagingSpectral analysisstabiilius (muuttumattomuus)EEGCluster analysisTime complexity030304 developmental biology0303 health sciencesRadiological and Ultrasound Technologymedicine.diagnostic_testResearchnonnegative matrix factorizationElectroencephalographySignal Processing Computer-AssistedGeneral MedicinestabilityModels TheoreticalHierarchical clusteringlcsh:R855-855.5AlgorithmStability030217 neurology & neurosurgeryAlgorithmsclusteringspektrianalyysiBiomedical engineering online
researchProduct

A novel solution based on scale invariant feature transform descriptors and deep learning for the detection of suspicious regions in mammogram images.

2020

Background: Deep learning methods have become popular for their high-performance rate in the classification and detection of events in computer vision tasks. Transfer learning paradigm is widely adopted to apply pretrained convolutional neural network (CNN) on medical domains overcoming the problem of the scarcity of public datasets. Some investigations to assess transfer learning knowledge inference abilities in the context of mammogram screening and possible combinations with unsupervised techniques are in progress. Methods: We propose a novel technique for the detection of suspicious regions in mammograms that consist of the combination of two approaches based on scale invariant feature …

lcsh:Medical technologyclassificationlcsh:R855-855.5computer-assisted image processingdigital mammographydeep learningOriginal Articlecomputing methodologiesClassification computer‐assisted image processing computing methodologies deep learning digital mammography
researchProduct

Diseño y Evaluación de un programa informático para la educación musical de maestros no especialistas. El caso de EMOLAB.

2016

This article shows the design, development and evaluation of a software for teaching support in a music training course for pre-service non music teachers. The aim of EMOLab has been addressing to both production and perception musical activities. The assessment of software was done by freshmen enrolled in Elementary Education Teacher Training degree. They completed a questionnaire that collected their opinions (versatility, efficiency, ease of use, quality of graphical environment, adequacy, interest, facilitating learning, feedback, functionality) and perceptions on more general aspects (control, guidance, affection, consultation, verification, tracing). The data suggest that students per…

lcsh:Musical instruction and studyenseñanza asistida por ordenadorEducación05 social sciences050301 educationEducación Musical050105 experimental psychologyEducationTecnología musicalformación de maestros no especialistasComputingMilieux_COMPUTERSANDEDUCATIONnon-music teacher training0501 psychology and cognitive sciencescomputer assisted instructionlcsh:L0503 educationMusic technologylcsh:MT1-960Musiclcsh:EducationMúsica Ensenyament
researchProduct

A Role for Judges in Assisted Dying

2009

Medically provoked death, whether euthanasia or assisted suicide, is a common issue for discussion in various forums, participants coming from widely differing fields of knowledge, among who are, of course, doctors. Substantial legal differences exist in Europe on this issue and in an ever-wider Europe, it is essential, for practical reasons, that legislation be standardised. We would like to propose possible regulations that would provide effective safeguards in the application of euthanasia or assisted suicide.

lcsh:R723-726lcsh:History of medicine. Medical expeditionsEuthanasiaArticlesEnd of life decisionslcsh:Medical philosophy. Medical ethicslcsh:R131-687Assisted suicideLawJournal of Medical Ethics and History of Medicine
researchProduct

Caracterización de barita cubana y su reducción carbotérmica en horno de microondas

2007

The Cuban Barite (BaSO<sub>4</sub>) is characterized by X ray diffraction, chemical analysis and scanning electron microscopy. The principal components are identified and its characteristic morphology is shown. Its carbothermic reduction under microwave irradiation is carried out with the purpose of to improve the yield of this stage during the mineral transformation process in reagent of barium of diverse applications.<br><br>La barita cubana (BaSO<sub>4</sub>) se ha caracterizado por difracción de rayos X, análisis químico y microscopía electrónica de barrido. Se han identificado sus componentes mayoritarios y así mismo se muestra su morfología caracter…

lcsh:TN1-997reducción carbotérmicaMining engineering. MetallurgyTN1-997Microwave assisted reductionBaritabaritaBariteReducción asistida por microondas:FÍSICA::Física del estado sólido ::Metalurgia [UNESCO]Barium sulfideReducción carbotérmicaSulfuro de barioreducción asistida por microondasCarbothermic reductionbarita; reducción carbotérmica; reducción asistida por microondas; sulfuro de bariosulfuro de bariolcsh:Mining engineering. MetallurgyUNESCO::FÍSICA::Física del estado sólido ::Metalurgia
researchProduct

Is School a Better Environment Than Home for Digital Game-Based Learning? The Case of GraphoGame

2015

This study investigated how the use of an online reading game differs in home and school environments. First and second graders (N = 194) participated in an 8-week training during which they used the reading program GraphoGame either at home or at school under the supervision of parents or teachers. Child participants were recommended by parents and teachers recruited from the list of GraphoGame users, and adults decided whether the training took place at home or at school. We measured the frequency and duration of playing, children’s engagement, development of reading skill and reading interest, and adult supportive involvement. The results revealed that children who played GraphoGame at s…

letter knowledgeoppimisympäristöparental involvementSocial Psychologymedia_common.quotation_subjecteducationreading skillGame based learningComputer-Assisted InstructionGraphoGameDevelopmental psychologymotivationReading (process)learning environmentPedagogyta516technology-enhanced reading supportSchool based interventionta515Educational gamemedia_commonorthographydigital game-based learninglcsh:T58.5-58.64lcsh:Information technologyCommunicationPhonologyHuman-Computer Interactioneducational gamephonologySchool environmentPsychologyengagementHuman Technology: An Interdisciplinary Journal on Humans in ICT Environments
researchProduct

Noninvasive Ventilation in Critically Ill Patients

2015

Since its first application in the late 1980s, noninvasive ventilation (NIV) has been the first-line intervention for certain forms of acute respiratory failure. NIV may be delivered through the patient's mouth, nose, or both using noninvasive intermittent positive pressure ventilation or continuous positive airway pressure. When applied appropriately, NIV may reduce morbidity and mortality and may avert iatrogenic complications and infections associated with invasive mechanical ventilation. This article provides physicians and respiratory therapists with a comprehensive, practical guideline for using NIV in critical care. © 2015 Elsevier Inc.

lung diseaseproceduremedicine.medical_treatmenttreatment indicationtreatment contraindicationReviewCritical Care and Intensive Care MedicineAcute respiratory failureintensive care unitequipment designContinuous positive airway pressureHospital MortalityRespiratory systemNoserisk reductionsleep disorderemergency health serviceRespiratory Distress Syndromeemergency wardcritical illnehumidifierGeneral Medicineadult respiratory distress syndromeIntermittent positive pressure ventilationCritically patientrespiratory circuitmedicine.anatomical_structurepriority journalpositive end expiratory pressureNoninvasive ventilationEmergency Service Hospitalmedicine.medical_specialtyventilatorCritical Illnesswardhypercapnic nonchronic obstructive pulmonary diseasecritically ill patientRespiratory Distress Syndrome Adult Critical Illneobesity hypoventilation syndromemedicineHumansAcute respiratory failurehumanIntensive care medicinelung edemaMechanical ventilationgeneral wardhypoxemiaNoninvasive Ventilationair humidificationCritically illbusiness.industrypractice guidelineRespiratory Distress Syndrome Adultneurally adjusted ventilator assistrespiratory intensive care unitmortalityacute cardiogenic pulmonary edemahypercapnic chronic obstructive pulmonary diseasedisease exacerbationnoninvasive positive pressure ventilationbusinesschronic obstructive lung diseaserespiratory therapeutic device
researchProduct

Development of ultrasound-assisted digestion methods for the determination of toxic element concentrations in ash samples by ICP-OES

2011

The present thesis introduces several ultrasound-assisted digestion methods developed for the determination of toxic element concentrations in ash samples by inductively coupled plasma optical emission spectrometry (ICP-OES). Ultrasound-assisted digestion is a quite new technique used for sample pre-treatment purposes, especially in difficult sample matrixes. Elements determined are As, Ba, Co, Cr, Cu, Ni, Pb, Sb, Sr, V, and Zn. Most of the elements determined exist at a trace or ultra trace level in ashes and most are potential risks in the environment or human body even at low concentrations. Most of the selected elements can be determined directly by ICP-OES, but for the determination of…

maatalouskemikaalitinductively coupled plasma optical emission spectrometryspektrometripolymorphinterferenceashultraäänisupramolecular synthontorjunta-aineetmyrkyllisyysaskaultraljudsupramolecular chemistrystructural chemistryhydride generationsolvatespektrometriaagrochemicaltuhkacocrystalgiftighettoxic elementultrasound-assisted digestionX-ray crystallography
researchProduct

Immobilized Pd on magnetic nanoparticles bearing proline as a highly efficient and retrievable Suzuki–Miyaura catalyst in aqueous media

2015

A magnetically retrievable nanocatalyst was evaluated for amicrowave assisted Suzuki–Miyaura reaction in aqueous media.Excellent yields and conversions were obtained with low Pd loadings(down to 0.01 mol% Pd). It was stable up to 6 months in waterunder aerobic conditions and efficiency remained unaltered evenafter 7 repeated cycles. Refereed/Peer-reviewed

magnetic nanoparticlesProlineMetal Nanoparticles010402 general chemistry01 natural sciencesMicrowave assistedCatalysisCatalysisSuzuki-MiyauraInorganic ChemistryMagneticsMicroscopy Electron Transmission[CHIM]Chemical SciencesOrganic chemistryProlineMetal nanoparticlesComputingMilieux_MISCELLANEOUSAqueous medium010405 organic chemistryChemistryWaterPd loadings0104 chemical sciencesMagnetic nanoparticlesPalladiumNuclear chemistryDalton Transactions
researchProduct