Search results for "work"

showing 10 items of 14511 documents

An ASSOM neural network to represent actions performed by an autonomous agent

1997

An ASSOM neural network to describe the action performed by an autonomous reactive agent is proposed. The neural network receives in input the sequences of data acquired by the agent internal sensors and it classifies them by generating the corresponding symbolic assertions. Experimental results performed on a RWI B12 autonomous robot are reported.

Action (philosophy)Artificial neural networkComputer sciencebusiness.industryControl systemAutonomous agentRoboticsComputingMethodologies_GENERALArtificial intelligenceAutonomous robotbusiness
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Dropping out of school as a meaningful action for adolescents with social, emotional and behavioural difficulties

2013

This study examines and discusses dropping out of school related to adolescents with social, emotional and behavioural difficulties (SEBD). It is based on in-depth interviews of 10 adolescents between the ages of 16 and 20, three girls and two boys with internalised problems, and two girls and three boys with extroverted behavioural problems. Given this group of students' challenges at school, the aim of this paper is to explore the narratives of this adolescent group as they relate to the significance they attach to their dropout behaviour. An additional objective is to draw attention to what these findings are likely to mean for implementing preventive practices in school. Results show th…

Action (philosophy)Interpersonal competenceeducationSocial emotional learningAdolescent groupContext (language use)NarrativeOut of schoolPsychologyDropout (neural networks)EducationDevelopmental psychologyJournal of Research in Special Educational Needs
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Rapid developmental switch in the mechanisms driving early cortical columnar networks

2006

The immature cerebral cortex self-organizes into local neuronal clusters long before it is activated by patterned sensory inputs. In the cortical anlage of newborn mammals, neurons coassemble through electrical or chemical synapses either spontaneously or by activation of transmitter-gated receptors. The neuronal network and the cellular mechanisms underlying this cortical self-organization process during early development are not completely understood. Here we show in an intact in vitro preparation of the immature mouse cerebral cortex that neurons are functionally coupled in local clusters by means of propagating network oscillations in the beta frequency range. In the newborn mouse, this…

Action PotentialsSensory systemBiologyReceptors N-Methyl-D-AspartateSynapseMiceSubplatemedicineBiological neural networkAnimalsReceptorNeuronsMultidisciplinaryGap junctionGap JunctionsSomatosensory CortexElectrophysiologyMice Inbred C57BLElectrophysiologymedicine.anatomical_structureBiochemistryAnimals NewbornCerebral cortexSynapsesNMDA receptorCarbacholNeuronCortical columnNeurosciencee-Neuroforum
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Network of small towns. Themes and projects in the territory of Tindari

2019

The protection of natural and cultural resources in small towns is a topic of growing interest within the European context and aims to enhance the local heritage toward an interaction consciously balanced between human activities. The project Tindari 2030: Natural emotion led by the research group LabCity Architecture aims to indicate and enhance the territory of Tindari with regard to its natural, cultural and religious resources, such as the Sanctuary of the Black Madonna, an archaeological site (396 BC), the sandy naturalistic system of the 'Laghetti di Marinello',the 'Coda di Volpe' trail, which is the remaining part of the 'Via Francigena Palermo-Messina per la marina'. This project in…

Action research Architectural design Territory enhancement Natural resource Network
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Rete di centri minori. Temi e progetti nel territorio di Tindari

2019

The protection of natural and cultural resources in small towns is a topic of growing interest within the European context and aims to enhance the local heritage toward an interaction consciously balanced between human activities. The project Tindari 2030: Natural emotion led by the research group LabCity Architecture aims to indicate and enhance the territory of Tindari with regard to its natural, cultural and religious resources, such as the Sanctuary of the Black Madonna, an archaeological site (396 BC), the sandy naturalistic system of the 'Laghetti di Marinello',the 'Coda di Volpe' trail, which is the remaining part of the 'Via Francigena Palermo-Messina per la marina'. This project in…

Action research architectural design territory enhancement natural resource networkSettore ICAR/14 - Composizione Architettonica E Urbana
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Interference and Communications among Active Network Applications

1999

Active Networks
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Perspectives on Dynamic Retirement and Active Ageing

2014

One central goal in ageing individuals’ late-career stages is to participate in working life, subsequently transition successfully into retirement, and to lead a satisfying and healthy life in retirement. In many ways, these goals are aligned with the policy orientation of countries facing challenges with global ageing. This chapter describes some of the current themes of retirement and late-career research, with a specific interest on the role of individual resource allocation strategies and human resource management in promoting the work ability of older employees. It will present the concept of bridge employment in the Finnish context, and the effects of normal retirement, i.e. after rea…

Active ageingPensionPublic economicsStatutory lawHuman resource managementResource allocationContext (language use)SociologyWork abilityDisability pension
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A New Adaptive Neural Harmonic Compensator for Inverter Fed Distributed Generation

2004

This paper deals with the command of inverters in DG (distributed generation) systems by use of linear neural networks in such a way that, with a slight upgrade of their control software, they can be used also to compensate for the harmonic distortion in the node where they are connected (local compensation), that is in the in the point of common coupling (PCC). To this purpose a neural estimator based on linear neurons (ADALINEs) has been developed which is able to act as a selective noise cancellers for each harmonic of the node voltage. The use of linear neurons permits the drawbacks of classical neural networks to be overcome and moreover the neural estimator is easy to implement, thus …

Active filtersseries activePower qualityharmonic compensationneural networks.Distributed generation
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Active Learning for Monitoring Network Optimization

2012

Kernel-based active learning strategies were studied for the optimization of environmental monitoring networks. This chapter introduces the basic machine learning algorithms originated in the statistical learning theory of Vapnik (1998). Active learning is closer to an optimization done using sequential Gaussian simulations. The chapter presents the general ideas of statistical learning from data. It derives the basics of kernel-based support vector algorithms. The active learning framework is presented and machine learning extensions for active learning are described in the chapter. Kernel-based active learning strategies are tested on real case studies. The chapter explores the use of a c…

Active learningComputer scienceActive learning (machine learning)Kernel-based support vector algorithmsMachine learningGaussian simulationsData scienceMonitoring network optimization
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Strategies for Active Learning to Improve Student Learning and Attitudes Towards Physics

2021

Over the last several years, active learning methods and strategies have received considerable attention from the educational community and are commonly presented in the related literature as a credible solution to the reported lack of efficacy of more “traditional” educative approaches. Research has shown that a possible factor is the strongly contextualized nature of active learning that focuses on the interdependence of situation and cognition. In this paper, we report the results of a Symposium with different contributions in the field of research on active learning. We start with a system analysis of the mental processes involved in learning physics which explains how active learning i…

Active learningISLE frameworkPre-service science teacher inquirySettore FIS/08 - Didattica E Storia Della FisicaActive engagementContext (language use)CognitionSystem analysis of mental processesField (computer science)Teacher preparationPhysics theatre in learningActive learningMathematics educationLack of efficacyStudent learning
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