Search results for "Sampling time"

showing 2 items of 2 documents

In vitro evaluation of poloxamer in situ forming gels for bedaquiline fumarate salt and pharmacokinetics following intramuscular injection in rats

2019

Graphical abstract

In situPO Propylene oxideIV IntravenousP338 Poloxamer 338lcsh:RS1-441Pharmaceutical Sciencechemistry.chemical_compoundn Sample sizeSD Standard deviationIM Intramuscularchemistry.chemical_classificationC0 Analyte plasma concentration at time zeroDoE Design of experimentsUV UltravioletPharmacology. TherapyK2.EDTA Potassium ethylenediaminetetraacetic acidLC–MS/MS Liquid chromatography-tandem mass spectrometryH&E Hematoxylin and eosintmax Sampling time to reach the maximum observed analyte plasma concentrationIn situ forming gelsCMC Critical micellar concentrationCmax Maximum observed analyte plasma concentrationIntramuscular injectionDN Dose normalizedGPT Gel point temperaturePLGA Poly-(DL-lactic-co-glycolic acid)TFA Trifluoroacetic acidCAN AcetonitrileATP Adenosine 5′ triphosphateSalt (chemistry)Polyethylene glycolPoloxamerArticlelcsh:Pharmacy and materia medicaPharmacokineticsIn vivoUHPLC Ultra-high performance liquid chromatographyPharmacokineticsAUClast Area under the analyte concentration versus time curve from time zero to the time of the last measurable (non-below quantification level) concentrationEO Ethylene oxideNMP N-methyl-2-pyrrolidoneComputingMethodologies_COMPUTERGRAPHICSAUC∞ Area under the analyte concentration vs time curve from time zero to infinite timeP407 Poloxamer 407In vitro releasePoloxamerCMT Critical micellar temperatureGel erosionIn vitrot1/2 Apparent terminal elimination half-lifechemistryMDR-TB Multi-drug resistant tuberculosisAUC80h Area under the analyte concentration versus time curve from time zero to 80 htlast Sampling time until the last measurable (non-below quantification level) analyte plasma concentrationMRM Multiple reaction monitoringNuclear chemistrySustained releaseInternational Journal of Pharmaceutics: X
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Correlation based networks of equity returns sampled at different time horizons

2006

We investigate the planar maximally filtered graphs of the portfolio of the 300 most capitalized stocks traded at the New York Stock Exchange during the time period 2001-2003. Topological properties such as the average length of shortest paths, the betweenness and the degree are computed on different planar maximally filtered graphs generated by sampling the returns at different time horizons ranging from 5 min up to one trading day. This analysis confirms that the selected stocks compose a hierarchical system progressively structuring as the sampling time horizon increases. Finally, a cluster formation, associated to economic sectors, is quantitatively investigated.

Physics - Physics and Societynetworks of equity different time horizonsStatistical Finance (q-fin.ST)Equity (finance)Quantitative Finance - Statistical FinanceFOS: Physical sciencesRangingPhysics and Society (physics.soc-ph)Condensed Matter PhysicsElectronic Optical and Magnetic MaterialsCorrelationFOS: Economics and businessBetweenness centralityStock exchangePhysics - Data Analysis Statistics and ProbabilityStatisticsHierarchical control systemPortfolioSampling timeData Analysis Statistics and Probability (physics.data-an)Mathematics
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