Search results for "synergies"

showing 10 items of 12 documents

THE REFERENCE SITE COLLABORATIVE NETWORK OF THE EUROPEAN INNOVATION PARTNERSHIP ON ACTIVE AND HEALTHY AGEING

2019

International audience; Seventy four Reference Sites of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) have been recognised by the European Commission in 2016 for their commitment to excellence in investing and scaling up innovative solutions for active and healthy ageing. The Reference Site Collaborative Network (RSCN) brings together the EIP on AHA Reference Sites awarded by the European Commission, and Candidate Reference Sites into a single forum. The overarching goals are to promote cooperation, share and transfer good practice and solutions in the development and scaling up of health and care strategies, policies and service delivery models, while at the…

Active and healthy ageing; DG CONNECT; DG Santé; EIP on AHA; European Innovation Partnership on Active and Healthy AgeingAllergic RhinitisOperational DefinitionEIP on AHAProgramTurkeyActive and healthy ageing; European Innovation Partnership on Active and Healthy Ageing; EIP on AHA; DG CONNECT; DG Sante[SDV]Life Sciences [q-bio]EipActive and healthy ageingDG SanteDG CONNECTDiseasesArticles03 medical and health sciences0302 clinical medicineEuropean Innovation Partnership on Active and Healthy AgeingSynergies030228 respiratory systemDG SantéAhaSettore MED/42030212 general & internal medicineComputingMilieux_MISCELLANEOUS
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Assessing the carcinogenic potential of low-dose exposures to chemical mixtures in the environment: the challenge ahead

2015

Goodson, William H. et al.

Cancer ResearchCarcinogenesis[SDV]Life Sciences [q-bio]METHOXYCHLOR-INDUCED ALTERATIONSReviewPharmacologyMESH: Carcinogens EnvironmentalCarcinogenic synergiesChemical mixturesNeoplasmsMESH: AnimalsMESH: NeoplasmsCarcinogenesiRisk assessmentCancerACTIVATED PROTEIN-KINASESMedicine (all)Low dose1. No povertyCumulative effectsBREAST-CANCER CELLSGeneral MedicineEnvironmental exposureMESH: CarcinogenesisBIO/10 - BIOCHIMICAEPITHELIAL-MESENCHYMAL TRANSITION3. Good health[SDV] Life Sciences [q-bio]Environmental CarcinogenesisESTROGEN-RECEPTOR-ALPHARisk assessmentHumanMESH: Environmental ExposureENDOCRINE-DISRUPTING CHEMICALSTARGETING TISSUE FACTOR[SDV.CAN]Life Sciences [q-bio]/CancerBiologyPrototypical chemical disruptorsExposure[SDV.CAN] Life Sciences [q-bio]/CancerEnvironmental healthmedicine[SDV.EE.SANT] Life Sciences [q-bio]/Ecology environment/HealthCarcinogenEnvironmental carcinogenesis[SDV.EE.SANT]Life Sciences [q-bio]/Ecology environment/HealthMESH: HumansAnimalPOLYBROMINATED DIPHENYL ETHERSCancerEnvironmental Exposuremedicine.diseaseMESH: Hazardous SubstancesCarcinogens EnvironmentalMIGRATION INHIBITORY FACTORVASCULAR ENDOTHELIAL-CELLSHazardous SubstanceNeoplasmCarcinogenesis
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Quantitative evaluation of muscle synergy models: a single-trial task decoding approach.

2012

Delis, Ioannis | Berret, Bastien | Pozzo, Thierry | Panzeri, Stefano; International audience; ''Muscle synergies, i.e., invariant coordinated activations of groups of muscles, have been proposed as building blocks that the central nervous system (CNS) uses to construct the patterns of muscle activity utilized for executing movements . Several efficient dimensionality reduction algorithms that extract putative synergies from electromyographic (EMG) signals have been developed. Typically, the quality of synergy decompositions is assessed by computing the Variance Accounted For (VAF). Yet, little is known about the extent to which the combination of those synergies en codes task discriminating…

Computer scienceNeuroscience (miscellaneous)ORGANIZATIONMachine learningcomputer.software_genrelcsh:RC321-571Matrix decompositionNATURAL MOTOR BEHAVIORSFORCE03 medical and health sciencesCellular and Molecular NeurosciencePRIMITIVES0302 clinical medicinetask decodingmuscle synergiesMODULAR CONTROLMATRIX FACTORIZATIONOriginal Research ArticleMuscle activityInvariant (mathematics)Muscle synergylcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologyARM MOVEMENTS0303 health sciencessingle-trial analysisarm movementbusiness.industryDimensionality reduction[SCCO.NEUR]Cognitive science/NeurosciencereachingTIME-VARYING SYNERGIES[ SCCO.NEUR ] Cognitive science/NeurosciencePATTERNS''NATURAL MOTOR BEHAVIORSArtificial intelligenceFORCE''Single trialSPINAL-CORDbusinesscomputer030217 neurology & neurosurgeryDecoding methodsNeuroscienceFrontiers in computational neuroscience
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''Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies''

2013

Chiovetto, Enrico | Berret, Bastien | Delis, Ioannis | Panzeri, Stefano | Pozzo, Thierry; International audience; ''A long standing hypothesis in the neuroscience community is that the central nervous system (CNS) generates the muscle activities to accomplish movements by combining a relatively small number of stereotyped patterns of muscle activations, often referred to as" muscle synergies." Different definitions of synergies have been given in the literature. The most well-known are those of synchronous, time-varying and temporal muscle synergies. Each one of them is based on a different mathematical model used to factor some EMG array recordings collected during the execution of variety…

Computer scienceNeuroscience (miscellaneous)triphasic patternADJUSTMENTS''Variation (game tree)ORGANIZATIONTemporal musclelcsh:RC321-571NATURAL MOTOR BEHAVIORSnon-negative matrix factorizationACTIVATION03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineEMGEncoding (memory)muscle synergiesMATRIX FACTORIZATIONFeature (machine learning)Original Research ArticleSet (psychology)lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologydimensionality reductionARM MOVEMENTSELECTROMYOGRAPHIC PATTERNS0303 health sciencesbusiness.industryDimensionality reductionCOMBINATIONS[SCCO.NEUR]Cognitive science/Neuroscienceelbow rotationsNeurophysiologyADJUSTMENTSBODY POINTING MOVEMENTS[ SCCO.NEUR ] Cognitive science/Neuroscience''NATURAL MOTOR BEHAVIORSArtificial intelligencebusiness030217 neurology & neurosurgeryCognitive psychologyCurse of dimensionalityNeuroscienceTRIPHASIC EMG PATTERN
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Motor decision and modular control of an hyper-redundant system

2015

This thesis is aimed at better understanding how the Central Nervous System (CNS) plans and controls voluntary movements. When moving, humans must overcome intrinsic (e.g. choosing which muscles to activate) and extrinsic (e.g. choosing where to reach an object) redundancy, requiring selecting one motor solution among several potential ones. To better understand this process, we studied in parallel two important motor control theories: muscular synergies and motor decision. In a first part, we focused on intrinsic redundancy by testing the muscular synergies hypothesis. According to it, the CNS simplifies the control of muscles, in using a limited set of building blocks whose linear combina…

Décision motriceSynergies musculairesRedondance[SCCO.NEUR] Cognitive science/NeuroscienceMotor decisionSelection de l'action[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Controle moteurControle optimal
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A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information

2013

Delis, Ioannis | Berret, Bastien | Pozzo, Thierry | Panzeri, Stefano; International audience; ''Muscle synergies have been hypothesized to be the building blocks used by the central nervous system to generate movement. According to this hypothesis, the accomplishment of various motor tasks relies on the ability of the motor system to recruit a small set of synergies on a single-trial basis and combine them in a task-dependent manner. It is conceivable that this requires a fine tuning of the trial-to-trial relationships between the synergy activations. Here we develop an analytical methodology to address the nature and functional role of trial-to-trial correlations between synergy activation…

Fine-tuningComputer scienceInformation TheoryNeuroscience (miscellaneous)COMMUNICATIONInformation theorylcsh:RC321-571NATURAL MOTOR BEHAVIORSTask (project management)MOVEMENT03 medical and health sciencesCellular and Molecular Neurosciencetask decoding0302 clinical medicinecorrelationsmuscle synergiesMATRIX FACTORIZATIONMotor systemSimilarity (psychology)NOISE CORRELATIONSOriginal Research ArticleSet (psychology)lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologysingle-trial analysis0303 health sciencesINDEPENDENCEbusiness.industry[SCCO.NEUR]Cognitive science/NeuroscienceMATHEMATICAL-THEORYSIGNAL (programming language)CORTICAL-NEURONSINDEPENDENCE''Pattern recognitionNEURAL POPULATION[ SCCO.NEUR ] Cognitive science/Neuroscience''NATURAL MOTOR BEHAVIORSArtificial intelligenceNoise (video)SPINAL-CORDbusiness030217 neurology & neurosurgeryNeuroscience
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A Multi-Criteria Decision Support System for Strategic Planning at the Swiss Forest Enterprise Level: Coping With Climate Change and Shifting Demands…

2021

Sustainable forest management plays a key role for forest biodiversity and the provisioning of ecosystem services (BES), including the important service of carbon sequestration for climate change mitigation. Forest managers, however, find themselves in the increasingly complex planning situation to balance the often conflicting demands in BES. To cope with this situation, a prototype of a decision support system (DSS) for strategic (long-term) planning at the forest enterprise level was developed in the present project. The DSS was applied at three case study enterprises (CSEs) in Northern Switzerland, two lowland and one higher-elevation enterprise, for a 50-year time horizon (2010 to 2060…

Global and Planetary Changedecision support systemEcologysynergies and trade-offsmetsänkäsittelypäätöksentukijärjestelmätForestryhiilensidontaSD1-669.5ilmastonmuutoksetEnvironmental Science (miscellaneous)kestävä metsätaloussustainable forest managementbiodiversiteettiEnvironmental sciencesmetsätalousclimate changeforest modelingekosysteemipalvelutforest biodiversityGE1-350ecosystem servicesNature and Landscape ConservationFrontiers in Forests and Global Change
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Information decomposition of multichannel EMG to map functional interactions in the distributed motor system

2019

AbstractThe central nervous system needs to coordinate multiple muscles during postural control. Functional coordination is established through the neural circuitry that interconnects different muscles. Here we used multivariate information decomposition of multichannel EMG acquired from 14 healthy participants during postural tasks to investigate the neural interactions between muscles. A set of information measures were estimated from an instantaneous linear regression model and a time-lagged VAR model fitted to the EMG envelopes of 36 muscles. We used network analysis to quantify the structure of functional interactions between muscles and compared them across experimental conditions. Co…

MaleInformation transferMuscle networkNeurologyTransfer entropyComputer scienceSocial SciencesPostural controlFunctional connectivity0302 clinical medicineCONNECTIVITYNeural PathwaysDecomposition (computer science)Medicine and Health Sciencesmotor controlMuscle activityPostural Balance0303 health sciencesMuscle networksConditional mutual information05 social sciencesmedicine.anatomical_structureNeurologySYNCHRONIZATIONFemaleSpinal reflexAdultCORTEXmedicine.medical_specialtyCognitive NeurosciencePostureCentral nervous systemORGANIZATIONCognitive neuroscienceGRANGER CAUSALITY050105 experimental psychology03 medical and health sciencesReflexMotor systemCOHERENCEBiological neural networkmedicineHumans0501 psychology and cognitive sciencesMuscle SkeletalSet (psychology)signal processing030304 developmental biologyIDENTIFICATIONElectromyographyPostural controlMotor controlINPUTSMUSCLE SYNERGIESBRAIN NETWORKSSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaNeuroscience030217 neurology & neurosurgery
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Renewable energy for sustainable rural development: synergies and mismatches

2020

Abstract Energy transition is increasingly regarded as a promising opportunity for the economic development of rural areas. This possibility is associated with the siting and (co-)ownership of decentralized (small-scale) renewable energy facilities. The underlying productive link, however, has been taken for granted, rather than conceptually and practically cultivated. Thus, while renewable energy-based rural development has been stated as a desired by-product of energy transitions, its potential has remained largely unfulfilled. This review aims to illuminate the ambiguous interplay between renewable energy and rural development in the context of the current trajectories of the energy tran…

Renewable energyNatural resource economics020209 energyEnergy (esotericism)media_common.quotation_subjectContext (language use)02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and LawEnergy transition01 natural sciences0202 electrical engineering electronic engineering information engineeringRural developmentSDG 7 - Affordable and Clean Energy0105 earth and related environmental sciencesmedia_common/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energybusiness.industrySDG 8 - Decent Work and Economic GrowthSocio-ecological fixesConflationDisembeddingDemocracy/dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growthDemocracyRenewable energyRural developmentGeneral EnergySynergiesRural areabusinessVDP::Samfunnsvitenskap: 200::Urbanisme og fysisk planlegging: 230
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The role of synergies within generative models of action execution and recognition: A computational perspective. Comment on "Grasping synergies: A mo…

2015

Controlling the body – given its huge number of degrees of freedom – poses severe computational challenges. Mounting evidence suggests that the brain alleviates this problem by exploiting “synergies”, or patterns of muscle activities (and/or movement dynamics and kinematics) that can be combined to control action, rather than controlling individual muscles of joints [1–10]. D’Ausilio et al. [11] explain how this view of motor organization based on synergies can profoundly change the way we interpret studies of action recognition in humans and monkeys, and in particular the controversy on the “granularity” of the mirror neuron system (MNs): whether it encodes either (lower) kinematic aspects…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionisynergiesMirror NeuronHand Strengthgenerative modelsAnimalArtificial IntelligenceMotor ActivityHuman
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