2020
Rethinking Causation for Data‐intensive Biology: Constraints, Cancellations, and Quantized Organisms
Brash DE. Rethinking Causation for Data‐intensive Biology: Constraints, Cancellations, and Quantized Organisms. BioEssays 2020, 42: e1900135. PMID: 32484248, PMCID: PMC7518294, DOI: 10.1002/bies.201900135.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNew mathematical toolNew mathematical approachComputational toolsMathematical toolsData-intensive biologyMathematical approachNonlinear dependenciesOptimal stateQuantized statesSingle control pointPhysical hierarchyComplex organismsCausal propertiesOrganismsSignal cancellationControl pointsExperimental strategiesBiologyConstraintsPhysicsCancellationEccentricityRecent refinementsBiologistsBiological behavior
2007
TU‐FF‐A3‐04: Empirical Investigation of 3D Intrafraction Motion Management Using a Generalized Methodology for Tracking Translating, Rotating and Deforming Targets
Sawant A, Keall P, Srivastava V, Venkat R, Cattell H, Povzner S, Carlson D. TU‐FF‐A3‐04: Empirical Investigation of 3D Intrafraction Motion Management Using a Generalized Methodology for Tracking Translating, Rotating and Deforming Targets. Medical Physics 2007, 34: 2573-2573. DOI: 10.1118/1.2761446.Peer-Reviewed Original ResearchGeneralized methodologyShape/positionTarget position informationMotion perpendicularMLC leaf positionsElliptical motionMotion parallelDosimetric measurementsMotionTarget motionInstantaneous shapeTracking methodologyLeaf travelControl pointsIon chamber arrayTarget positionPosition monitoring systemTrackingRPM dataDose deliveryLung phantomAccuracyVector
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