Search results for "Support"

showing 10 items of 2310 documents

Long-term volume-targeted pressure-controlled ventilation: sense or nonsense?

2017

The technology underlying the development of novel ventilatory modes for long-term noninvasive ventilation of patients with chronic hypercapnia is continuously evolving. Volume-targeted pressure-controlled ventilation is a hybrid ventilation mode designed to combine the advantages of conventional ventilation modes, while avoiding their drawbacks. However, manufacturers have created different names and have patented algorithms and set-up variables, which can result in confusion for physicians and respiratory therapists. In addition, clear evidence for the superiority of this novel mode has not yet been established. These factors have most likely hindered more widespread use of this mode in c…

Pulmonary and Respiratory Medicinemedicine.medical_specialtySLEEP QUALITYPressure controlled ventilationChronic hypercapniaHOME MECHANICAL VENTILATIONOBSTRUCTIVE PULMONARY-DISEASEAMYOTROPHIC-LATERAL-SCLEROSISlaw.inventionHypercapnia03 medical and health sciences0302 clinical medicineOBESITY-HYPOVENTILATION SYNDROMElawACUTE RESPIRATORY-FAILUREmedicineCOPDHumansLEAKS030212 general & internal medicineIntensive care medicineRANDOMIZED CROSSOVER TRIALClinical Trials as TopicHybrid ventilationNoninvasive Ventilationbusiness.industryTerm (time)Clinical PracticeSUPPORT NONINVASIVE VENTILATION030228 respiratory systemEvaluation Studies as TopicVentilation (architecture)Noninvasive ventilationbusinessRespiratory InsufficiencyConventional ventilationHumanThe European respiratory journal
researchProduct

The right interface for the right patient in noninvasive ventilation: a systematic review

2022

Introduction Research in the field of noninvasive ventilation (NIV) has contributed to the development of new NIV interfaces. However, interface tolerance plays a crucial role in determining the beneficial effects of NIV therapy. Areas covered This systematic review explores the most significant scientific research on NIV interfaces, with a focus on the potential impact that their design might have on treatment adherence and clinical outcomes. The rationale on the choice of the right interface among the wide variety of devices that are currently available is discussed here. Expert opinion The paradigm 'The right mask for the right patient' seems to be difficult to achieve in real life. Rang…

Pulmonary and Respiratory Medicinepressure support ventilationhelmettotal face maskPublic Health Environmental and Occupational Healthnoninvasive ventilationInterfacemouthpiecenasal pillowsmaskhybrid maskoronasal maskCPAPNIVoral masknasal maskImmunology and Allergycustom maskcontinuous positive pressure ventilation
researchProduct

On the Directly and Subdirectly Irreducible Many-Sorted Algebras

2015

AbstractA theorem of single-sorted universal algebra asserts that every finite algebra can be represented as a product of a finite family of finite directly irreducible algebras. In this article, we show that the many-sorted counterpart of the above theorem is also true, but under the condition of requiring, in the definition of directly reducible many-sorted algebra, that the supports of the factors should be included in the support of the many-sorted algebra. Moreover, we show that the theorem of Birkhoff, according to which every single-sorted algebra is isomorphic to a subdirect product of subdirectly irreducible algebras, is also true in the field of many-sorted algebras.

Pure mathematicslcsh:MathematicsGeneral MathematicsSubalgebraUniversal enveloping algebralcsh:QA1-939directly irreducible many-sorted algebraSubdirect productsymbols.namesakemany-sorted algebraSubdirectly irreducible algebraAlgebra representationsymbolsDivision algebraMathematics::Metric GeometryCellular algebrasupport of a many-sorted algebrasubdirectly irreducible many-sorted algebraMathematicsFrobenius theorem (real division algebras)Demonstratio Mathematica
researchProduct

Automated quality control protocol for MR spectra of brain tumors.

2008

Item does not contain fulltext eTUMOUR (http://www.etumour.net/) is acquiring a large database of brain tumor (1)H MR spectra to develop automated pattern recognition methods and decision support system (DSS) for tumor diagnosis. Development of accurate pattern-recognition algorithms requires spectra undistorted by artifacts, low signal-to-noise, or broad lines. eTUMOUR currently uses panels of expert spectroscopists to subjectively grade spectra as being acceptable or unacceptable. Automated quality control (QC) would be more satisfactory for several reasons: 1) to provide a reproducible objective classification of spectrum quality; 2) for use within the future DSS to prevent misdiagnosis …

Quality ControlProtocol (science)Decision support systemMagnetic Resonance SpectroscopyBrain NeoplasmsComputer sciencemedia_common.quotation_subjectFeature extractioncomputer.software_genreIndependent component analysisDecision Support TechniquesPattern Recognition AutomatedTest setPattern recognition (psychology)Support vector machine classifierHumansRadiology Nuclear Medicine and imagingQuality (business)Functional Imaging [UMCN 1.1]Data miningcomputermedia_commonMagnetic Resonance in Medicine
researchProduct

Corresponsabilità e cura educativa dei genitori nello “zero-sei”: un’esperienza di ricerca e formazione attraversata dalla pandemia

2022

This paper focuses on early childhood educators as possible facilitators of educational co-responsibility with families and, therefore, of inclusive educating communities, in line with the PNRR. A research-training with educators from Palermo, which began before the pandemic and was then reformulated, is presented. For this research, a questionnaire was administered in 2019 to investigate three areas from which, according to the literature, obstacles to an effective educational alliance often arise: educators’ understanding of current family education, what educators think parents to be and ideas of co-responsibility. In 2022, an online questionnaire similar to the first was administered, a…

Quality Framework for Early Childhood Education and Care Participatory processes Educational alliance with parents Educators Training Parenting educational supportSettore M-PED/01 - Pedagogia Generale E Sociale
researchProduct

Individualized counselling for active aging: protocol of a single-blinded, randomized controlled trial among older people (the AGNES intervention stu…

2019

Background: Active aging has been established as a policy goal for aging societies. We define active aging at the individual level as striving for elements of well-being through activities in relation to a person’s goals, functional capacities and opportunities. Increasing evidence suggests that any meaningful activity is beneficial for different aspects of well-being in older people. The aim of the present randomized controlled trial is to test the feasibility and effectiveness of a one-year community-based intervention on active aging. The AGNES intervention aims at increasing older peoples’ participation in self-selected valued activities. Methods: The proposed study is a two-arm single-…

Quality of lifeCounselingMalebehavior changeAgingIndividualized counsellingtheory-based interventionHealth Behavioryksilöllinen hoitophysical activityelämänlaatulcsh:GeriatricsStudy ProtocolBehavior changeTheory-based interventionHumansCognitive DysfunctionSingle-Blind MethodExerciseFinlandAutonomy supportAgedosallistuminenMobilityAged 80 and overPhysical activityDepressionagingautonomiaParticipationlcsh:RC952-954.6autonomy supportikääntyminenliikkuvuusFemaleindividualized counsellingyksilöllisyysfyysinen aktiivisuusBMC Geriatrics
researchProduct

Perceived family cohesion, social support, and quality of life in patients undergoing treatment for substance use disorders compared with patients wi…

2021

Abstract Purpose Support from family and other social network elements can be important in helping patients to cope with practical and emotional consequences of diseases. The aim of the study was to examine perception of family and social support and quality of life (QoL) in patients undergoing treatment for substance use disorders (SUDs). We compared them with patients in treatment for mental disorders (MDs) and physical disorders (PDs). Methods We used data from a national multicenter study that recruited patients (N  =  518) from three treatment domains; SUD treatment units, MD treatment units, and PD treatment units (severe neurological conditions or cancer). Data on family cohesion, so…

Quality of lifeMedicine (General)medicine.medical_specialtySubstance-Related Disorders030508 substance abuseSocial support03 medical and health sciencesSocial supportMental distressR5-9200302 clinical medicineSocial pathology. Social and public welfare. CriminologyQuality of lifeSurveys and QuestionnairesFamily cohesionAdaptation PsychologicalHumansMedicine030212 general & internal medicineCooperative BehaviorHV1-9960Substance use disordersVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801Social networkSocial workNorwaybusiness.industryResearchPublic healthGeneral MedicinehumanitiesPeer reviewHealth psychology0305 other medical sciencebusinessClinical psychologyAddiction Science & Clinical Practice
researchProduct

Betreuungsbedarf und subjektiver Unterstützungswunsch von Krebspatientinnen im Längsschnitt – Prädiktoren und Korrelate

2020

The need for psychosocial support and patients' desire for psychosocial support in female cancer patients - predictors and correlates Objectives: The aims of the present study were to determine the need for psychosocial support of cancer patients, the subjective request for support and to examine the relationship between the need for psychosocial counselling, psychological distress and quality of life. Methods: 112 patients (consecutive) answered questionnaires about mental stress (GAD-2 and PHQ-2), quality of life (SF-8) as well as the Hornheide Screening Instrument (HSI) during their hospital stay (T1), two weeks (T2) and three months after their discharge (T3). Results: The need for psyc…

Quality of lifebusiness.industryMental stressMedicineCancerPsychological distressbusinessmedicine.diseaseHospital stayPsychosocialPsychosocial supportScreening instrumentClinical psychologyZeitschrift für Psychosomatische Medizin und Psychotherapie
researchProduct

Machine learning-based models to predict modes of toxic action of phenols to Tetrahymena pyriformis.

2017

The phenols are structurally heterogeneous pollutants and they present a variety of modes of toxic action (MOA), including polar narcotics, weak acid respiratory uncouplers, pro-electrophiles, and soft electrophiles. Because it is often difficult to determine correctly the mechanism of action of a compound, quantitative structure-activity relationship (QSAR) methods, which have proved their interest in toxicity prediction, can be used. In this work, several QSAR models for the prediction of MOA of 221 phenols to the ciliated protozoan Tetrahymena pyriformis, using Chemistry Development Kit descriptors, are reported. Four machine learning techniques (ML), k-nearest neighbours, support vector…

Quantitative structure–activity relationshipAntiprotozoal AgentsQuantitative Structure-Activity RelationshipBioengineeringModes of toxic action010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesMachine Learningchemistry.chemical_compoundPhenolsMolecular descriptorDrug DiscoveryPhenols0105 earth and related environmental sciencesCiliated protozoanArtificial neural networkbusiness.industryTetrahymena pyriformisGeneral Medicine0104 chemical sciencesSupport vector machine010404 medicinal & biomolecular chemistrychemistryTetrahymena pyriformisMolecular MedicineArtificial intelligenceNeural Networks ComputerbusinesscomputerSAR and QSAR in environmental research
researchProduct

<strong>Machine Learning and Atom-Based Quadratic Indices for Proteasome Inhibition Prediction </strong>

2015

The atom-based quadratic indices are used in this work together with some machine learning techniques that includes: support vector machine, artificial neural network, random forest and k-nearest neighbor. This methodology is used for the development of two quantitative structure-activity relationship (QSAR) studies for the prediction of proteasome inhibition. A first set consisting of active and non-active classes was predicted with model performances above 85% and 80% in training and validation series, respectively. These results provided new approaches on proteasome inhibitor identification encouraged by virtual screenings procedures. .

Quantitative structure–activity relationshipArtificial neural networkSeries (mathematics)Computer sciencebusiness.industryMachine learningcomputer.software_genreRandom forestSupport vector machineSet (abstract data type)Quadratic equationProteasome inhibitormedicineArtificial intelligencebusinesscomputermedicine.drugProceedings of MOL2NET, International Conference on Multidisciplinary Sciences
researchProduct