Search results for "Mathematical & Computational Biology"

showing 2 items of 2 documents

Strategies for structuring interdisciplinary education in Systems Biology: an European perspective

2016

Systems Biology is an approach to biology and medicine that has the potential to lead to a better understanding of how biological properties emerge from the interaction of genes, proteins, molecules, cells and organisms. The approach aims at elucidating how these interactions govern biological function by employing experimental data, mathematical models and computational simulations. As Systems Biology is inherently multidisciplinary, education within this field meets numerous hurdles including departmental barriers, availability of all required expertise locally, appropriate teaching material and example curricula. As university education at the Bachelor’s level is traditionally built upon…

0301 basic medicineEngineeringSystems biologymedia_common.quotation_subjectStructuringGeneral Biochemistry Genetics and Molecular BiologyArticleEducation03 medical and health sciences0302 clinical medicineExcellenceMultidisciplinary approachDrug DiscoveryComputingMilieux_COMPUTERSANDEDUCATIONLife ScienceSystems and Synthetic BiologyInnovation/dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructureCurriculummedia_commonVLAGFlexibility (engineering)Systeem en Synthetische BiologieScience & TechnologyManagement sciencebusiness.industry4. EducationApplied MathematicsINF/01 - INFORMATICAGAPGénéralitésSystems Biology Training and education3. Good healthComputer Science Applications030104 developmental biologyAction (philosophy)Modeling and Simulationand InfrastructureSDG 9 - Industry Innovation and InfrastructureMathematical & Computational BiologySystems biologybusinessDisciplineSDG 9 - IndustryLife Sciences & Biomedicine030217 neurology & neurosurgery
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Modeling crowd dynamics through coarse-grained data analysis

2018

International audience; Understanding and predicting the collective behaviour of crowds is essential to improve the efficiency of pedestrian flows in urban areas and minimize the risks of accidents at mass events. We advocate for the development of crowd traffic management systems, whereby observations of crowds can be coupled to fast and reliable models to produce rapid predictions of the crowd movement and eventually help crowd managers choose between tailored optimization strategies. Here, we propose a Bi-directional Macroscopic (BM) model as the core of such a system. Its key input is the fundamental diagram for bi-directional flows, i.e. the relation between the pedestrian fluxes and d…

Data AnalysisOperations researchComputer scienceFLOW[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]macroscopic model0904 Chemical EngineeringTransportation02 engineering and technologycomputer.software_genre01 natural sciences010305 fluids & plasmas[SHS]Humanities and Social Sciences[SCCO]Cognitive scienceCrowds0903 Biomedical Engineering0102 Applied Mathematics11. Sustainability0202 electrical engineering electronic engineering information engineeringCluster AnalysisApplied Mathematicsbi-directional fluxcollective behaviourGeneral Medicine[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computational MathematicsCore (game theory)Modeling and Simulation[SCCO.PSYC]Cognitive science/Psychology020201 artificial intelligence & image processingGeneral Agricultural and Biological SciencesLife Sciences & BiomedicineBEHAVIORCrowd dynamicsRelation (database)Bioinformatics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]BioengineeringPedestrianModels PsychologicalMachine learningAdvanced Traffic Management SystemPedestrian traffic0103 physical sciencesHumansComputer Simulation[NLIN.NLIN-AO]Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO]Block (data storage)Science & Technologybusiness.industryMathematical ConceptsSIMULATIONSdata-based modelingCrowdingKey (cryptography)Artificial intelligenceMathematical & Computational Biologybusinesscomputer
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