2025
Physiologic control of rotary blood pumps by ventricular chamber size estimation using resonantly coupled sensors
Wang Y, Ghali G, Luo X, Bonde P, Giridharan G. Physiologic control of rotary blood pumps by ventricular chamber size estimation using resonantly coupled sensors. Biomedical Signal Processing And Control 2025, 110: 108135. DOI: 10.1016/j.bspc.2025.108135.Peer-Reviewed Original ResearchRotary blood pumpsControl algorithmConstant pump speedEnd-diastolic volumePump speedVentricular suctionBlood pumpPhysiological control algorithmCirculatory system modelLeft ventricular end-diastolic volumeMeasurement noiseVentricular end-diastolic volumePulmonary vascular resistanceFixed pump speedHigh-efficiency sensorsLong-term driftVentricular chamber sizeProposed algorithmSensorSystem modelVascular resistanceSpeedPump-independentAlgorithmSuction
2024
Impacts of land-use and land-cover changes on temperature-related mortality
Orlov A, De Hertog S, Havermann F, Guo S, Manola I, Lejeune Q, Schleussner C, Thiery W, Pongratz J, Humpenöder F, Popp A, Aunan K, Armstrong B, Royé D, Cvijanovic I, Lavigne E, Achilleos S, Bell M, Masselot P, Sera F, Vicedo-Cabrera A, Gasparrini A, Mistry M, Network M, Abrutzky R, Guo Y, Tong S, de Sousa Zanotti Stagliorio Coelho M, Saldiva P, Correa P, Orteg N, Kan H, Osorio S, Kyselý J, Urban A, Orru H, Indermitte E, Jaakkola J, Ryti N, Pascal M, Schneider A, Huber V, Katsouyanni K, Analitis A, Carlsen H, Mayvaneh F, Roradeh H, Goodman P, Zeka A, Raz R, Michelozzi P, de’Donato F, Hashizume M, Kim Y, Alahmad B, Diaz M, Arellano E, Overcenco A, Houthuijs D, Ameling C, Rao S, Carrasco G, Seposo X, Chua P, da Silva S, Madureira J, Holobaca I, Scovronick N, Acquaotta F, Kim H, Lee W, Tobias A, Íñiguez C, Forsberg B, Ragettli M, Guo Y, Pan S, Li S, Colistro V, Zanobetti A, Schwartz J, Dang T, Van Dung, Cauchi J. Impacts of land-use and land-cover changes on temperature-related mortality. Environmental Epidemiology 2024, 8: e337. PMID: 39439814, PMCID: PMC11495778, DOI: 10.1097/ee9.0000000000000337.Peer-Reviewed Original ResearchEarth System ModelExposure-response functionsLand-cover changeLULCC scenariosLand useMax Planck Institute Earth System ModelEuropean Consortium Earth System ModelCommunity Earth System ModelCoupled Earth system modelEarth system model simulationsMultimodel mean changesLand-useGreenhouse gas concentrationsImpact of land-useClimate change scenariosUnsustainable land useSystem modelBiogeophysical effectsBackground climateHeat-related mortalitySocioeconomic developmentChange scenariosLULCCGas concentrationMortality rangePressure-driven membrane desalination
Liu W, Livingston J, Wang L, Wang Z, del Cerro M, Younssi S, Epsztein R, Elimelech M, Lin S. Pressure-driven membrane desalination. Nature Reviews Methods Primers 2024, 4: 10. DOI: 10.1038/s43586-023-00287-y.Peer-Reviewed Original ResearchMembrane fabricationReverse osmosisThin-film composite polyamide membranesProcess configurationsEvaluate membrane performanceMembrane desalinationMembrane performanceNanofiltration membranesInterfacial polymerizationPolyamide membranesInterfacial propertiesNanofiltrationOsmosisSystem modelFabricationPerformance evaluationExperimental procedurePerformanceConfigurationDesalinationApplicationsSaline waterProcess
2010
Economic impact of the integration of alternative vehicle technologies into the New Zealand vehicle fleet
Leaver J, Gillingham K. Economic impact of the integration of alternative vehicle technologies into the New Zealand vehicle fleet. Journal Of Cleaner Production 2010, 18: 908-916. DOI: 10.1016/j.jclepro.2009.10.018.Peer-Reviewed Original ResearchHydrogen fuel productionHydrogen fuel cellsVehicle fleetIntegrated energy system modelInternal combustionAlternative vehicle technologiesFuel cellsConventional fleetVehicle technologyEconomy of New ZealandFuel productionSystem modelElectrical technologyEconomic impactOil pricesFossil fuelsSavings rangeFleetEconomic savings
2005
Comparison of Systems using Diffusion Maps
Vaidya U, Hagen G, Lafon S, Banaszuk A, Mezic I, Coifman R. Comparison of Systems using Diffusion Maps. 2005, 7931-7936. DOI: 10.1109/cdc.2005.1583444.Peer-Reviewed Original ResearchDiffusion mapsDynamical system modelWork of CoifmanSingular value decompositionPhase spaceLow-dimensional embeddingAcoustic oscillationsIntrinsic geometryQualitative behaviorDimensional embeddingCandidate modelsValue decompositionAssociated dynamicsData setsSystem modelComparison of systemsModel validationSpectral propertiesEfficient methodEigenvectorsCoifmanEt alGraphSimple metricLafon
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