Search results for " physical model"

showing 5 items of 5 documents

Engineering approaches in siRNA delivery.

2017

siRNAs are very potent drug molecules, able to silence genes involved in pathologies development. siRNAs have virtually an unlimited therapeutic potential, particularly for the treatment of inflammatory diseases. However, their use in clinical practice is limited because of their unfavorable properties to interact and not to degrade in physiological environments. In particular they are large macromolecules, negatively charged, which undergo rapid degradation by plasmatic enzymes, are subject to fast renal clearance/hepatic sequestration, and can hardly cross cellular membranes. These aspects seriously impair siRNAs as therapeutics. As in all the other fields of science, siRNAs management ca…

0301 basic medicine3003siRNAs Delivery vectors in vitro models Mathematical modeling Physical modelingDelivery vectors; In vitro models; Mathematical modeling; Physical modeling; SiRNAs; 3003Pharmaceutical ScienceNanotechnology02 engineering and technologyComputational biologyBiology03 medical and health sciencesDrug Delivery SystemsHumanssiRNAs; Delivery vectors; in vitro models; Mathematical modeling; Physical modelingRNA Small Interferingin vitro modelsPhysical modelingSettore ING-IND/34 - Bioingegneria IndustrialeHydrogelsDelivery vectorsModels Theoretical021001 nanoscience & nanotechnologyDelivery vectorsiRNAsClinical PracticeHydrogel030104 developmental biologyin vitro modelsiRNAMathematical modeling0210 nano-technologyBlood streamDrug Delivery SystemClearanceHumanInternational journal of pharmaceutics
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A modified applicative criterion of the physical model concept for evaluating plot soil erosion predictions

2015

Abstract In this paper, the physical model concept by Nearing (1998. Catena 32: 15–22) was assessed. Soil loss data collected on plots of different  widths (2–8 m), lengths (11–44 m) and steepnesses (14.9–26.0%), equipped in south and central Italy, were used. Differences in width between plots of given length and steepness determined a lower data correlation and more deviation of the fitted regression line from the identity one. A coefficient of determination between measured, M , and predicted, P , soil losses of 0.77 was representative of the best-case prediction scenario, according to Nearing (1998). The relative differences, Rdiff  = ( P − M ) / ( P + M ), decreased in absolute value a…

Coefficient of determinationSoil loss dataAbsolute value (algebra)Plot measurementPlot (graphics)Soil erosion; Plot measurements; Soil loss data; Physical modelPhysical modelSoil lossLinear regressionStatisticsErosionRange (statistics)Soil erosionPlot measurementsSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEquivalence (measure theory)Earth-Surface ProcessesMathematics
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Non-Hermitian Hamiltonians in Quantum Physics

2016

This volume collects the selected contributions presented at or inspired by the15th International Workshop on Pseuso-Hermitian Hamiltonians in QuantumPhysics(PHHQP15), held in Palermo, Italy, from May 18 to 23, 2015. Thisworkshop was the 15th in the series of international meetings that was started in2003. These meetings were mainly attended by mathematicians and physicistsinterested in the study of non-Hermitian operators and Hamiltonians, and in theirphysical applications. About 80 mathematicians and physicists attended the 2015Workshop in Palermo.

Settore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciNon-Hermitian physical modelNon-selfadjoint operatorsSettore MAT/05 - Analisi MatematicaSettore MAT/07 - Fisica MatematicaNon Hermitian Hamiltonian
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Testing the “physical model concept” by soil loss data measured in Sicily

2012

The best possible model to predict the erosion from an area of land has been suggested to be a physical model of the area that has similar soil type, land use, size, shape, slope and erosive inputs. Therefore, a replicated plot has to be considered the best possible, unbiased, real world model. In this paper the physical model concept was tested by using soil loss data collected on plots of different length at the experimental station of Sparacia, in Sicily (South Italy). This investigation supported the conclusions that i) a coefficient of determination between measured and predicted soil loss values of 0.77 has to be considered as the best-case prediction scenario and ii) an uncalibrated …

Soil lossCoefficient of determinationScale (ratio)Land useSoil erosion plot measurements soil loss data physical modelErosionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSoil scienceSoil typePlot (graphics)Earth-Surface ProcessesEvent (probability theory)MathematicsCATENA
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Lifetime of metastable states and suppression of noise in interdisciplinary physical models

2008

Transient properties of different physical systems with metastable states perturbed by external white noise have been investigated. Two noise-induced phenomena, namely the noise enhanced stability and the resonant activation, are theoretically predicted in a piece-wise linear fluctuating potential with a metastable state. The enhancement of the lifetime of metastable states due to the noise, and the suppression of noise through resonant activation phenomenon will be reviewed in models of interdisciplinary physics: (i) dynamics of an overdamped Josephson junction; (ii) transient regime of the noisy FitzHugh-Nagumo model; (iii) population dynamics.

Statistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesInterdisciplinary Physical ModelsCondensed Matter - Statistical Mechanics
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