Search results for "interaction [parton]"

showing 10 items of 174 documents

Decoding Children's Social Behavior

2013

We introduce a new problem domain for activity recognition: the analysis of children's social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction. In each session, the adult examiner followed a semi-structured play interaction protocol which was designed to elicit a broad range of social behaviors. We identify the key technical challenges in analyzing these behaviors, and describe met…

Behavior Psychology Dataset Video analysis Speech Analysis AutismInter-action protocolsSocial and communicative behaviorInteraction protocol02 engineering and technologycomputer.software_genreAnnan data- och informationsvetenskapSession (web analytics)Activity recognitionTechnical challenges0202 electrical engineering electronic engineering information engineeringmedicineSocial behaviorAudio signal processingMultimediabusiness.industryDevelopmental disorders020207 software engineeringmedicine.diseaseSemi-structuredResearch questionsActivity recognitionProblem domainKey (cryptography)Autism020201 artificial intelligence & image processingArtificial intelligencePsychologybusinessOther Computer and Information SciencecomputerCognitive psychologySocial behavior2013 IEEE Conference on Computer Vision and Pattern Recognition
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PINCoC: a Co-Clustering based Method to Analyze Protein-Protein Interaction Networks

2007

Anovel technique to search for functionalmodules in a protein-protein interaction network is presented. The network is represented by the adjacency matrix associated with the undirected graph modelling it. The algorithm introduces the concept of quality of a sub-matrix of the adjacency matrix, and applies a greedy search technique for finding local optimal solutions made of dense submatrices containing the maximum number of ones. An initial random solution, constituted by a single protein, is evolved to search for a locally optimal solution by adding/removing connected proteins that best contribute to improve the quality function. Experimental evaluations carried out on Saccaromyces Cerevis…

BiclusteringMathematical optimizationBioinformatics network analysisCompact spaceInteraction networkBlock matrixFunction (mathematics)Adjacency matrixGreedy algorithmAlgorithmProtein protein interaction networkMathematics
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Protein Interaction Networks and Disease: Highlights of the 3rd Challenges in Computational Biology Meeting

2017

Cellular functions are managed by a complex network of protein interactions, the malfunction of which may derive in disease phenotypes. In spite of the incompleteness and noise present in our current protein interaction maps, computational biologists are making strenuous efforts to extract knowledge from these intricate networks and, through their integration with other types of biological data, expedite the development of novel and more effective treatments against human disorders. The 3rd Challenges in Computational Biology meeting revolved around the Protein Interaction Networks and Disease subject, bringing expert network biologists to the city of Mainz, Germany to debate the current st…

Biological dataComputingMethodologies_PATTERNRECOGNITIONWorkflowComputer sciencebusiness.industryProtein Interaction NetworksBig dataCellular functionsGenomicsComputational biologyDiseaseComplex networkbusinessGenomics and Computational Biology
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A Coclustering Approach for Mining Large Protein-Protein Interaction Networks

2012

Several approaches have been presented in the literature to cluster Protein-Protein Interaction (PPI) networks. They can be grouped in two main categories: those allowing a protein to participate in different clusters and those generating only nonoverlapping clusters. In both cases, a challenging task is to find a suitable compromise between the biological relevance of the results and a comprehensive coverage of the analyzed networks. Indeed, methods returning high accurate results are often able to cover only small parts of the input PPI network, especially when low-characterized networks are considered. We present a coclustering-based technique able to generate both overlapping and nonove…

Biologycomputer.software_genreBioinformatics network analysis co-clusteringTask (project management)Set (abstract data type)Protein Interaction MappingGeneticsCluster (physics)Cluster AnalysisHumansRelevance (information retrieval)Protein Interaction MapsCluster analysisStructure (mathematical logic)Applied MathematicsProteinsprotein-protein interaction networksbiological networksComputingMethodologies_PATTERNRECOGNITIONCover (topology)Co-clusteringData miningcomputerAlgorithmsBiological networkBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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ALICE forward rapidity upgrades

2017

Two forward rapidity upgrades of the ALICE apparatus at the LHC are presented: the Muon Forward Tracker (MFT) and the Fast Interaction Trigger (FIT). Their designs are driven by physics performance studies, which have been done using MC simulations. Several prototypes have been tested. Currently the detector design phase has ended. The final layouts, geometries and expected performance figures are presented. The latest developments from the test of the prototypes are discussed. The MFT will improve the performance of the ALICE Muon Spectrometer by adding vertexing capabilities to the system. The elementary component of the MFT is a Monolithic Active Pixel Sensor (MAPS), using the TowerJazz …

CMOS sensorLarge Hadron ColliderMuon Forward TrackerInteraction pointta114Computer sciencebusiness.industryCherenkov detectorFast Interaction TriggerPhysics::Instrumentation and DetectorsMonte Carlo methodDetectorALICE apparatuslaw.inventionOpticslawMicrochannel plate detectorDetectors and Experimental TechniquesbusinessCherenkov radiation
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Existence and Regularity of Solutions of Cauchy Problems for Inhomogeneous Wave Equations with Interaction

1991

The main aim of this paper is a nonrecursive formula for the compatibility conditions ensuring the regularity of solutions of abstract inhomogeneous linear wave equations, which we derive using the theory of T. Kato [11]. We apply it to interaction problems for wave equations (cf. [3]), generalizing regularity results of Lions-Magenes [12].

Cauchy problemCompatibility (mechanics)Mathematical analysisCauchy distributionInteraction problemWave equationMathematics
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Study of the role of the CDC48 chaperone protein in plant immunity

2018

The chaperone protein CDC48 (Cell division cycle 48) is a major regulator of the quality control of proteins and is involved in various cellular processes in animals and yeast. In contrast, the role of CDC48 in plants is poorly known. In the present work, we investigated the function of CDC48 in plant immunity thanks to the cryptogein/tobacco biological model, cryptogein being produced by the oomycete phytophthora cryptogea.Three strategies were carried out. First, the dynamic of accumulation CDC48 together with intracellular events inherent to the immune response were analyzed in both wild-type and CDC48 overexpressing tobacco cells (CDC48-TAP line). Second, a list if CDC48 partners was es…

Cdc48Protein-Protein interaction networkImmunité des plantes[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesPlant immunityRéseau d'interaction protéine-ProtéineBiochimieBiochemistryCapx
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Etude du rôle de la protéine CDC48 dans l'immunité des plantes

2018

The chaperone protein CDC48 (Cell division cycle 48) is a major regulator of the quality control of proteins and is involved in various cellular processes in animals and yeast. In contrast, the role of CDC48 in plants is poorly known. In the present work, we investigated the function of CDC48 in plant immunity thanks to the cryptogein/tobacco biological model, cryptogein being produced by the oomycete phytophthora cryptogea.Three strategies were carried out. First, the dynamic of accumulation CDC48 together with intracellular events inherent to the immune response were analyzed in both wild-type and CDC48 overexpressing tobacco cells (CDC48-TAP line). Second, a list if CDC48 partners was es…

Cdc48[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesProtein-Protein interaction networkImmunité des plantesPlant immunityRéseau d'interaction protéine-ProtéineBiochimieBiochemistryCapx
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Topological structure analysis of chromatin interaction networks.

2019

Abstract Background Current Hi-C technologies for chromosome conformation capture allow to understand a broad spectrum of functional interactions between genome elements. Although significant progress has been made into analysis of Hi-C data to identify biologically significant features, many questions still remain open, in particular regarding potential biological significance of various topological features that are characteristic for chromatin interaction networks. Results It has been previously observed that promoter capture Hi-C (PCHi-C) interaction networks tend to separate easily into well-defined connected components that can be related to certain biological functionality, however, …

Chromatin interaction networksFunctionally related modulesComputer scienceCellStructure (category theory)Topologylcsh:Computer applications to medicine. Medical informaticsBiochemistryGenomeChromosome conformation capture03 medical and health sciences0302 clinical medicineGraph topologyStructural BiologyComponent (UML)medicineHumansGene Regulatory NetworksCell type specificityPromoter Regions GeneticMolecular Biologylcsh:QH301-705.5030304 developmental biologyConnected component0303 health sciencesApplied MathematicsResearchChromatinComputer Science ApplicationsChromatinHematopoiesisIdentification (information)medicine.anatomical_structurelcsh:Biology (General)Gene Expression RegulationTopological graph theorylcsh:R858-859.7DNA microarray030217 neurology & neurosurgeryAlgorithmsBMC bioinformatics
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Slacking with the Bot: Programmable Social Bot in Virtual Team Interaction

2021

Nonhuman communicators are challenging the prevailing conceptualizations of technology-mediated team communication. Slackbot is a social bot that can be configured to respond to trigger words and, thus, take part in discussions on the platform. A set of 84 bot-related communication episodes were identified from a journalistic team's Slack messages (N=45,940) and analyzed utilizing both qualitative content analysis and interaction process analysis (IPA). This integrated mixed-methods analysis revealed novel insights into the micro-level dynamics of human-machine communication in organizational teams. In response to Slackbot's greetings, acclamations, work-related messages, and relational mes…

Computer Networks and Communications518 Media and communicationsSocial Bots050801 communication & media studiesCOMMUNICATIONchattibotityhteisöviestintäfasilitointi0508 media and communicationsMICROBIOLOGY PROCEDURES0502 economics and businessTECHNOLOGYVirtual TeamsSlackbotConceptualization05 social sciencesVirtual teamtiimityöTeam CommunicationComputer Science ApplicationsEngineering managementOrganizational CommunicationWork teamsInteraction Process AnalysisQualitative AnalysisTRUSTverkkoviestintäPsychology050203 business & managementJournal of Computer-Mediated Communication
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