Search results for "Rating"

showing 10 items of 2021 documents

Response to Agomelatine Treatment is Independent of Smoking Status and Dosage: Results From the AGOPSYCH Study.

2018

Abstract Introduction Cigarette smoking influences response to antidepressant treatment. It accelerates the metabolism of several cytochrome P450 (CYP) subtypes, including CYP1A2, and therefore bears the risk of pharmacokinetic interactions with psychotropic drugs using that pathway. Agomelatine is a substrate of CYP1A2; the association between nicotine use and agomelatine dosage, however, has never been studied before. Methods Smoking habits were correlated with agomelatine doses and treatment outcomes in a sample of 27 patients with lifetime diagnoses within the schizophrenia spectrum who received agomelatine treatment in addition to their stable antipsychotic treatment regimen because of…

DrugOncologyAdultMalemedicine.medical_specialtymedia_common.quotation_subject030226 pharmacology & pharmacyNicotine03 medical and health sciencesYoung Adult0302 clinical medicinePharmacokineticsInternal medicineAcetamidesmedicineAgomelatineHumansPharmacology (medical)Young adultmedia_commonPsychiatric Status Rating ScalesDose-Response Relationship Drugbusiness.industryDepressionSmokingGeneral MedicineMiddle Agedmedicine.diseaseAntidepressive Agents030227 psychiatry3. Good healthPsychiatry and Mental healthRegimenTreatment OutcomeSchizophreniaAntidepressantFemalebusinessmedicine.drugPharmacopsychiatry
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Improving Pattern Recognition Based Pharmacological Drug Selection Through ROC Analysis

2004

The design of new medical drugs is a very complex process in which combinatorial chemistry techniques are used. The goal consists of discriminating between molecular compounds exhibiting or not certain pharmacological activities. Different machine learning approaches have been recently applied to different drug design problems leading to competitive results in pointing at particular compounds with high probability of exhibiting activity. The present work first deeps into the natural trade-off between accuracy in the much less populated active group and false alarm rate which could lead to too many expensive laboratory tests. Preliminary results show how different classification techniques a…

DrugReceiver operating characteristicCombinatorial Chemistry TechniquesComputer sciencebusiness.industryProcess (engineering)media_common.quotation_subjectMachine learningcomputer.software_genrePattern recognition (psychology)Artificial intelligencebusinesscomputerSelection (genetic algorithm)media_common
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PD‐1‐induced T cell exhaustion is controlled by a Drp1‐dependent mechanism

2022

Programmed cell death‐1 (PD‐1) signaling downregulates the T‐cell response, promoting an exhausted state in tumor‐infiltrating T cells, through mostly unveiled molecular mechanisms. Dynamin‐related protein‐1 (Drp1)‐dependent mitochondrial fission plays a crucial role in sustaining T‐cell motility, proliferation, survival, and glycolytic engagement. Interestingly, such processes are exactly those inhibited by PD‐1 in tumor‐infiltrating T cells. Here, we show that PD‐1pos CD8+ T cells infiltrating an MC38 (murine adenocarcinoma)‐derived murine tumor mass have a downregulated Drp1 activity and more elongated mitochondria compared with PD‐1neg counterparts. Also, PD‐1pos lymphocytic elements in…

DynaminsCancer Researchendocrine systemSettore BIO/06T cellmedicine.medical_treatmentProgrammed Cell Death 1 ReceptorDrp1CD8-Positive T-LymphocytesSettore MED/08 - Anatomia PatologicaMitochondrial Dynamicstumor‐infiltrating lymphocytesMiceImmune systemDownregulation and upregulationDrp1 mitochondria PD-1 T cell tumor-infiltrating lymphocytesPD-1GeneticsmedicineAnimalsHumansSettore MED/05 - Patologia ClinicaResearch ArticlesPI3K/AKT/mTOR pathwayRC254-282Tumor-infiltrating lymphocytesChemistryPD‐1T cellNeoplasms. Tumors. Oncology. Including cancer and carcinogensGeneral MedicineImmunotherapyCell biologymitochondriamedicine.anatomical_structureOncologytumor-infiltrating lymphocytesMolecular MedicineMitochondrial fissionCD8Research ArticleMolecular Oncology
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The Psychobiosocial States (PBS-S) Scale

2019

Abstract. This study examined the factor structure and reliability of the Psychobiosocial States (PBS-S) scale in the assessment of situational performance-related experiences. We administered the scale to 483 Finnish athletes before a practice session to assess the intensity and perceived impact of their performance-related feeling states. The hypothesized two-factor structure indicating functional effects (10 items) and dysfunctional effects (10 items) toward performance was examined via exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA). Regarding the intensity and perceived impact dimensions of reported states, ESEM and CFA showed a good fit for a tw…

Dysfunctional family050105 experimental psychologyStructural equation modeling03 medical and health sciences0302 clinical medicinetunteetRating scalemedicine0501 psychology and cognitive sciencesApplied PsychologyIZOF modelModalitiesbiologyAthletesmittaus05 social sciencesCognition030229 sport sciencesbiology.organism_classificationConfirmatory factor analysisemotions feelingsAnxietymedicine.symptomPsychologyIZOF-mallimitatClinical psychologyEuropean Journal of Psychological Assessment
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Determinants of Sub-Sovereign Government Ratings In Europe

2017

The aim of this paper is to identify the determinantsof the rating assigned to sub-sovereignentities in Germany, Austria, Belgium, France,Italy and Spain, using a total of 92 territorial entitiesfor the 1989-2012 period. Multinomial orderedprobit estimation models were estimatedfor each specifi cation and agency.We conclude that the country’s rating is oneof the most important determinants of regionalgovernment’s ratings with a positive infl uence(as expected), and that the country debt/GDPratio is a stronger determinant for regions thantheir own indebtedness with a negative sign.Other relevant variables are population growthrate, unemployment rate, elderly people weight,regional public exp…

ECONOMIA APLICADAEconomic growthPublic AdministrationStrategy and Managementmedia_common.quotation_subjectPopulationPublic expenditureMultinomial ordered probitSub-sovereignsJF20-2112Debt0502 economics and businessRatingEconomicsUnemployment rateElderly peoplePopulation growthrating sub-sovereign entities multinomial ordered probit international fi nancial markets.050207 economicseducationmedia_commonSovereign stateInternational Financial MarketsEstimationeducation.field_of_study050208 finance05 social sciencesDemographic economicsPolitical institutions and public administration (General)Transylvanian Review of Administrative Sciences
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Employees' work patterns-office type fit and the dynamic relationship between flow and performance

2021

Organizations must improve their employees’ performance in order to compete effectively. Evidence shows that flow experiences enhance performance. However, a dynamic approach to this phenomenon is needed. Furthermore, different work patterns (based on task profiles) can have specific environmental requirements (office types). This research aims to analyze the dynamic relationship between office workers’ flow and in‐role and extra‐role performance, considering work pattern–office type fit as a predictor of the initial level of each of these three variables. A total of 83 workers participated in this diary study. Results of the latent growth model showed a positive association between: (1) th…

ENVIRONMENTTHEORETICAL-MODELComputer scienceSocial SciencesGrowth modelWELLOffice workersJOB-SATISFACTIONTask (computing)Arts and Humanities (miscellaneous)Work (electrical)Flow (mathematics)TASK COMPLEXITYMODERATING ROLECITIZENSHIPDevelopmental and Educational PsychologyEconometricsPsychologyEXPERIENCEHEALTHOffice typePERSON-ORGANIZATIONApplied PsychologyPsychology AppliedApplied Psychology
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Dynamic scheduling of periodic skippable tasks in an overloaded real-time system

2008

International audience; The need for supporting dynamic real-time environments where changes in workloads may occur requires a scheduling framework that explicitly addresses overload conditions, allows the system to achieve graceful degradation and supports a mechanism capable of determining the load to be shed from the system to handle the overload. In applications ranging from video reception to air-craft control, tasks enter periodically and have response time constraints, but missing a deadline is acceptable, provided most deadlines are met. Such tasks are said to be occasionally skippable and have an assigned skip parameter. We look at the problem of uniprocessor scheduling of skippabl…

Earliest deadline first schedulingComputer scienceDistributed computingReal-time computingResponse timeFault toleranceWorkload02 engineering and technologyDynamic priority scheduling020202 computer hardware & architectureScheduling (computing)Robustness (computer science)0202 electrical engineering electronic engineering information engineering[INFO.INFO-ES]Computer Science [cs]/Embedded Systems020201 artificial intelligence & image processingReal-time operating system2008 IEEE/ACS International Conference on Computer Systems and Applications
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Professional Development and Impact of the Early Change Project : Reflections from the Finnish Example

2017

This chapter focuses on the reflections and feedback from the implementation of the Early Change project in Finland. More specifically, it discusses the particular way in which the project was implemented in Finland, presents some experiences of the early childhood teachers who used the observational rating scales and the way that it influenced their practices. Further, it discusses the impact the use of observational rating scales had on two levels—on the professional development of the early childhood teachers and on the educational policies implemented in the educational districts that were partners in the Early Change project. peerReviewed

Early childhood educationEngineering managementMedical educationvarhaiskasvatusECERS-RRating scaleammatillinen kehitysearly change projectProfessional developmentearly childhood educationObservational studyEarly childhoodPsychology
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Comparative study of sensory modulation vulnerabilities in children with and without ASD in family and school contexts

2018

Background: Children with autism spectrum disorder (ASD) may present sensory processing alterations that are specific to each environment in which they develop, inevitably impacting their daily fun...

Early childhood educationSensory modulationSocial PsychologySensory processingIntelligence quotientmedicine.medical_treatment05 social sciencesmedicine.diseasebehavioral disciplines and activitiesEducationDevelopmental psychology03 medical and health sciences0302 clinical medicineOccupational TherapyAutism spectrum disorderRating scalemental disordersmedicineAutism0501 psychology and cognitive sciencesPsychology030217 neurology & neurosurgery050104 developmental & child psychologyJournal of Occupational Therapy, Schools, & Early Intervention
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Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

2021

For the last decade, Gaussian process regression (GPR) proved to be a competitive machine learning regression algorithm for Earth observation applications, with attractive unique properties such as band relevance ranking and uncertainty estimates. More recently, GPR also proved to be a proficient time series processor to fill up gaps in optical imagery, typically due to cloud cover. This makes GPR perfectly suited for large-scale spatiotemporal processing of satellite imageries into cloud-free products of biophysical variables. With the advent of the Google Earth Engine (GEE) cloud platform, new opportunities emerged to process local-to-planetary scale satellite data using advanced machine …

Earth observationGoogle Earth Engine (GEE); Gaussian process regression (GPR); machine learning; Sentinel-2; gap filling; leaf area index (LAI)010504 meteorology & atmospheric sciencesComputer scienceScienceleaf area index (LAI)0211 other engineering and technologiesCloud computing02 engineering and technologycomputer.software_genre01 natural sciencesKrigingGaussian process regression (GPR)021101 geological & geomatics engineering0105 earth and related environmental sciencesPixelbusiness.industryQGoogle Earth Engine (GEE)machine learningKernel (image processing)Ground-penetrating radarGeneral Earth and Planetary SciencesData miningSentinel-2Scale (map)businesscomputergap fillingLevel of detailRemote Sensing; Volume 13; Issue 3; Pages: 403
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