Search results for "work analysis"

showing 10 items of 232 documents

Pharmacogenomic identification of small molecules for lineage specific manipulation of subventricular zone germinal activity

2017

Strategies for promoting neural regeneration are hindered by the difficulty of manipulating desired neural fates in the brain without complex genetic methods. The subventricular zone (SVZ) is the largest germinal zone of the forebrain and is responsible for the lifelong generation of interneuron subtypes and oligodendrocytes. Here, we have performed a bioinformatics analysis of the transcriptome of dorsal and lateral SVZ in early postnatal mice, including neural stem cells (NSCs) and their immediate progenies, which generate distinct neural lineages. We identified multiple signaling pathways that trigger distinct downstream transcriptional networks to regulate the diversity of neural cells …

animal diseasesGene Identification and AnalysisGenetic NetworksAPC-PAIDMiceNeural Stem CellsCell SignalingLateral VentriclesDatabases GeneticGene Regulatory NetworksBiology (General)WNT Signaling CascadeNotch SignalingOrganic CompoundsBB/M029379/1GenomicsSignaling CascadesOligodendrogliaChemistryBBSRCPhysical Sciences[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Network AnalysisNeurovetenskaperSignal TransductionResearch ArticleBiotechnologyComputer and Information SciencesSignal InhibitionQH301-705.5NeurogenesisResearch and Analysis MethodsSmall Molecule LibrariesGenetics/dk/atira/pure/core/subjects/biomedicalsciencesAnimalsAdultsCell LineageComputer Simulation[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Molecular Biology TechniquesMolecular BiologyOrganic ChemistryGene MappingChemical CompoundsNeurosciencesBiology and Life SciencesRCUKBiomedical SciencesCell BiologyNerve RegenerationSignaling NetworksGene Expression Regulationnervous systemSmall MoleculesAge GroupsPeople and PlacesPopulation GroupingsTranscriptome
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Redes, complejidad y Arqueología: otra forma de ver el pasado

2018

La ciencia moderna se ha benefi ciado de los intentos del positivismo y neopositivismo por explicar el mundo sensible, que han generando grandes avances en el mundo de la ciencia, pero que han tenido problemas a la hora de plantear una “Teoría del Todo”. Hay que destacar el hecho de que toda explicación de la realidad es siempre un modelo simplifi cado, que se basa en alguna teoría. Durante los años 90, con el fi n de avanzar en la comprensión de la realidad empírica, comenzaron su andadura lo que se conoce co mo Ciencias de la Complejidad. A través de ellas se pretende explicar una serie de fenómenos comúnes a todos los sistemas formados por elementos interrelacionados, que como un conjunt…

análisis de redes socialesUNESCO::HISTORIAArqueología SNA complejidad redesarqueologíaredes sociales:HISTORIA [UNESCO]Redes Social Network Analysis
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Experimental evaluation of topological-based fitness functions to detect complexes in PPI networks

2012

The detection of groups of proteins sharing common biological features is an important research issue, intensively investigated in the last few years, because of the insights it can give in understanding cell behavior. In this paper we present an extensive experimental evaluation campaign aiming at exploring the capability of Genetic Algorithms (GAs) to find clusters in protein-protein interaction networks, when different topological-based fitness functions are employed. A complete experimentation on the yeast protein-protein interaction network, along with a comparative evaluation of the effectiveness in detecting true complexes on the yeast and human networks, reveals GAs as a feasible an…

business.industryComputer scienceCellMachine learningcomputer.software_genreTopologyYeastBioinformatics network analysisComputingMethodologies_PATTERNRECOGNITIONmedicine.anatomical_structureInteraction networkGenetic algorithmmedicineArtificial intelligencebusinesscomputerProceedings of the 14th annual conference on Genetic and evolutionary computation
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Multi-functional Protein Clustering in PPI Networks

2008

Protein-Protein Interaction (PPI) networks contain valuable information for the isolation of groups of proteins that participate in the same biological function. Many proteins play different roles in the cell by taking part in several processes, but isolating the different processes in which a protein is involved is often a difficult task. In this paper we present a method based on a greedy local search technique to detect functional modules in PPI graphs. The approach is conceived as a generalization of the algorithm PINCoC to generate overlapping clusters of the interaction graph in input. Due to this peculiarity, multi-facets proteins are allowed to belong to different groups correspondi…

business.industryComputer scienceFunctional proteinGeneralizationA proteinPattern recognitionTask (project management)Bioinformatics network analysisLocal search (optimization)Artificial intelligenceIsolation (database systems)businessCluster analysisNetwork analysis
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Correcting for the study bias associated with protein-protein interaction measurements reveals differences between protein degree distributions from …

2015

Protein–protein interaction (PPI) networks are associated with multiple types of biases partly rooted in technical limitations of the experimental techniques. Another source of bias are the different frequencies with which proteins have been studied for interaction partners. It is generally believed that proteins with a large number of interaction partners tend to be essential, evolutionarily conserved, and involved in disease. It has been repeatedly reported that proteins driving tumor formation have a higher number of PPI partners. However, it has been noticed before that the degree distribution of PPI networks is biased toward disease proteins, which tend to have been studied more often …

cancer genesstudy biasGeneticsprotein–protein interactionsdegree distributionnetwork analysisOriginal ResearchFrontiers in genetics
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Structural and Gelation Characteristics of Metallo-Supramolecular Polymer Model-Network Hydrogels Probed by Static and Dynamic Light Scattering

2021

Supramolecular polymer gels are a promising class of materials whose polymer components are connected by transient bonds such as metal–ligand interactions, thereby spanning a dynamic network throug...

chemistry.chemical_classificationMaterials scienceDynamic network analysisPolymers and PlasticsOrganic Chemistry02 engineering and technologyPolymer010402 general chemistry021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesInorganic ChemistrySupramolecular polymerschemistryDynamic light scatteringChemical physicsSelf-healing hydrogelsMaterials ChemistryModel networkTransient (oscillation)0210 nano-technologyMacromolecules
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Analysis of network rumor dissemination and control mechanisms on Chinese social network : Sina Weibo

2016

The social network has become a major source of information. The openness and swiftness of the network bring instant accessing to both true and false information. Sometimes the false information such as network rumors can mislead people from obtaining the true information and even create chaos. The social network platforms and the governments in different countries are making effort on enacting their own mechanisms to strive on eliminating the rumors. The aim of this thesis is to investigate the spreading of rumors on the Chinese social networking website Sina Weibo. The censorship policy of the Chinese government and the methods used to control the spreading of rumors are discussed. The la…

dissemination of rumorsData AnalysistiedonlähteetSina WeiboData VisualizationKiinaChinese Social Networkrumor controlsosiaalinen mediaNetwork RumorsSocial Network Analysis
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Exploring learning analytics on YouTube: a tool to support students interactions analysis

2021

YouTube is a free online video-sharing platform that is often used by students for their learning activities. The interactions of the students when using the platform to shape new concepts, are worth to be investigated to better understand and to optimize the learning opportunities that take place in this platform. In this paper, we investigate which types of data are relevant to analyse the interactions of students with content on YouTube, and we introduce a new tool that emulates students’ interactions with the platform in order to provide data to be used in supporting Learning Analytics approaches. Our preliminary study inspects the tool effectiveness in data collection and analyses the …

educationData collectiondata collectionComputer scienceYouTubeLearning analyticsRecommender systemData scienceData typeLearning AnalyticsLearning opportunitiesdatasetStudent learningSocial network analysis
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Non-elected Political Elites in the EU

2017

With globalization and Europeanization, profound changes have taken place in the composition and structure of elites. Once solidly tied to the nation state, elites have, following processes of differentiation and specialization, become more transnational than ever before. Their development has been conditioned by the evolving relationship between international, transnational, and national powers. In the European context, key institutional players today include the European Commission, the European Ombudsman and the European Court of Justice as aspiring representatives of the general European interest and the Council of Ministers and member states as representing national interests in the EU…

elite theoriespoliittiset instituutiotCouncil of MinisterseliititContext (language use)Euroopan Unionielitist politicsEuropean court of justicePoliticsGlobalizationelitist networkspolitical elites in the democratic westPolitical economyPolitical scienceSpecialization (functional)elite network analysisNation statepolitical power of economic elitestransnationaalisuuspoliittinen eliittiComposition (language)valta
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Deconstructing and reconstructing resilience: a dynamic network approach

2019

Resilience is still often viewed as a unitary personality construct that, as a kind of anti-nosological entity, protects individuals against stress-related mental problems. However, increasing evidence indicates that the maintenance of mental health in the face of adversity results from complex and dynamic processes of adaptation to stressors that involve the activation of several separable protective factors. Such resilience factors can reside at biological, psychological and social levels and may include stable predispositions (such as genotype or personality traits) and malleable properties, skills, capacities or external circumstances (such as gene expression patterns, emotion regulatio…

emotion regulationDynamic network analysisDISORDERSmedia_common.quotation_subjectEmotionsIndividualitySUSCEPTIBILITYModels Psychological050105 experimental psychology03 medical and health sciencesSocial supportstress0302 clinical medicineAdaptation Psychologicaldynamic systemPersonalityHumans0501 psychology and cognitive sciencesBig Five personality traitsresilienceGeneral Psychologymedia_commonTRAUMATIC EVENTSConceptualizationCUMULATIVE LIFETIME ADVERSITYMEDIAL PREFRONTAL CORTEXMental Disorders05 social sciencesStressorResilience PsychologicalanxietyMental healthPREVALENCEsymptom networkdepressionnetworkPsychological resiliencePsychologyCOMORBIDITYCHILDHOOD ADVERSITIES030217 neurology & neurosurgeryStress Psychologicalmental healthCognitive psychology
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