Search results for " Plot"

showing 10 items of 233 documents

Predicting soil loss in central and south Italy with a single USLE-MM model

2018

Purpose: The USLE-MM estimates event normalized plot soil loss, Ae,N, by an erosivity term given by the runoff coefficient, QR, times the single-storm erosion index, EI30, raised to an exponent b1> 1. This modeling scheme is based on an expected power relationship, with an exponent greater than one, between event sediment concentration, Ce, and the EI30/Pe(Pe= rainfall depth) term. In this investigation, carried out at the three experimental sites of Bagnara, Masse, and Sparacia, in Italy; the soundness of the USLE-MM scheme was tested. Materials and methods: A total of 1192 (Ae,N, QREI30) data pairs were used to parameterize the model both locally and considering all sites simultaneously. …

Bare plotsSoil erosion predictionResponsible editor: Philip N. OwenEvent plot soil loStratigraphy0208 environmental biotechnologyBare plotSampling (statistics)SedimentSoil science02 engineering and technology020801 environmental engineeringTerm (time)Soil lossEarth-Surface ProcesseBare plots Event plot soil loss Soil erosion prediction USLE-MMExponentErosionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliUSLE-MMSurface runoffEvent plot soil lossEarth-Surface ProcessesMathematicsEvent (probability theory)
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Fast Algorithms for Pseudoarboricity

2015

The densest subgraph problem, which asks for a subgraph with the maximum edges-to-vertices ratio d∗, is solvable in polynomial time. We discuss algorithms for this problem and the computation of a graph orientation with the lowest maximum indegree, which is equal to ⌈d∗⌉. This value also equals the pseudoarboricity of the graph. We show that it can be computed in O(|E| √ log log d∗) time, and that better estimates can be given for graph classes where d∗ satisfies certain asymptotic bounds. These runtimes are achieved by accelerating a binary search with an approximation scheme, and a runtime analysis of Dinitz’s algorithm on flow networks where all arcs, except the source and sink arcs, hav…

Binary search algorithmComputation0102 computer and information sciences02 engineering and technologyOrientation (graph theory)01 natural sciencesFlow (mathematics)010201 computation theory & mathematicsLog-log plotTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingUnit (ring theory)AlgorithmTime complexityMathematicsofComputing_DISCRETEMATHEMATICSMathematics2016 Proceedings of the Eighteenth Workshop on Algorithm Engineering and Experiments (ALENEX)
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Determination of lectin-cell-binding parameters by a new agglutination technique.

1992

We applied a recently described technique which is based on a light transmission/scattering method to determine the association characteristics of the Geodia lectin to sheep erythrocytes. The agglutination assays were performed in a total volume of 3 ml with 5.4 x 10(6) erythrocytes/ml. At a concentration of 360 ng/ml 50% of the lectin molecules were bound to the cells within the first 10 s of incubation. Scatchard analyses revealed an association constant (K(a)) of 0.9 +/- 0.1 x 10(8) M-1 and a number of 3.8 +/- 0.6 x 10(6) lectin binding sites on one erythrocyte. The method was also successfully applied to determine quantitatively the inhibitory potential of sugars competing with cell sur…

BiochemistryAgglutination techniquechemistry.chemical_compoundLectinsmedicineAnimalsLactoseIncubationchemistry.chemical_classificationScatchard plotChromatographySheepbiologyChemistryLectinHemagglutination TestsHemagglutination Inhibition TestsPoriferaRed blood cellAgglutination (biology)Kineticsmedicine.anatomical_structureReceptors MitogenImmunologyCalibrationbiology.proteinGlycoproteinProtein BindingBiological chemistry Hoppe-Seyler
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Study of Glycemic Variability Through Time Series Analyses (Detrended Fluctuation Analysis and Poincaré Plot) in Children and Adolescents with Type 1…

2016

Time series analysis provides information on blood glucose dynamics that is unattainable with conventional glycemic variability (GV) indices. To date, no studies have been published on these parameters in pediatric patients with type 1 diabetes. Our aim is to evaluate the relationship between time series analysis and conventional GV indices, and glycosylated hemoglobin (HbA1c) levels.This is a transversal study of 41 children and adolescents with type 1 diabetes. Glucose monitoring was carried out continuously for 72 h to study the following GV indices: standard deviation (SD) of glucose levels (mg/dL), coefficient of variation (%), interquartile range (IQR; mg/dL), mean amplitude of the la…

Blood GlucoseMaleAdolescentEndocrinology Diabetes and MetabolismCoefficient of variationMonitoring Ambulatory030209 endocrinology & metabolismStandard deviationYoung Adult03 medical and health sciences0302 clinical medicineEndocrinologyInterquartile rangeStatisticsmedicineHumans030212 general & internal medicineTime seriesChildGlycemicGlycated HemoglobinType 1 diabetesbusiness.industrymedicine.diseaseHypoglycemiaMedical Laboratory TechnologyCross-Sectional StudiesDiabetes Mellitus Type 1Detrended fluctuation analysisPoincaré plotFemalebusinessDiabetes Technology & Therapeutics
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Recurrences following treatment of proliferative verrucous leukoplakia: A systematic review and meta-analysis.

2021

Objective A systematic review and meta-analysis was made of the incidence of recurrences in patients with proliferative verrucous leukoplakia subjected to different types of treatment. Methods The study was carried out following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines. A literature search was made in the Medline (PubMed), EMBASE and Web of Science databases, together with a manual search, covering the period from 1985 to January 2020, with no language restrictions. Studies were included if they described treatments applied to at least 10 patients with the corresponding outcomes. Methodological quality was evaluated using Jadad sca…

Cancer ResearchFunnel plotmedicine.medical_specialtyMEDLINEPathology and Forensic Medicine03 medical and health sciences0302 clinical medicinemedicineHumansbusiness.industryIncidence (epidemiology)Incidence030206 dentistryPublication biasMiddle AgedRandom effects modelDermatologyJadad scaleSystematic reviewOtorhinolaryngology030220 oncology & carcinogenesisMeta-analysisPeriodonticsFemaleOral SurgeryLeukoplakia OralNeoplasm Recurrence LocalbusinessJournal of oral pathologymedicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral PathologyREFERENCES
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Re-investigation of the conformational interconversion of the 1,2,3,6,7,8-hexahydropyrene cation radical by EPR, ENDOR and TRIPLE spectroscopy

1985

The conformational interconversion of the 1,2,3,6,7,8-hexahydropyrene cation radical has been re-examined by EPR, ENDOR and TRIPLE spectroscopy, and the Arrhenius plot is presented for a wider temperature range than that used earlier. The EPR spectra were measured from 143 to 369 K and the ENDOR spectra from 143 to 263 K. The thermodynamic constants of the conformational interconversion of the cation radical were determined on the basis of the temperature-dependent spectra. The high-resolution spectra clearly show that there are two overlapping spectra at low temperature, and this is confirmed by simulation.

Cation radicalNuclear magnetic resonancelawChemistryPhysical chemistryGeneral Materials ScienceGeneral ChemistryAtmospheric temperature rangeElectron paramagnetic resonanceSpectroscopySpectral lineArrhenius plotlaw.inventionMagnetic Resonance in Chemistry
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Use of response factorial design for process optimization of basic dye adsorption onto activated carbon derived from Persea species

2017

Abstract Full factorial design is a powerful and efficient mathematical approach widely applied in the optimization of response. The important parameters which affect the removal efficiency of methylene blue such temperature, initial pH of the solution, concentration and adsorbent dosage were optimized. They coded as A, B, C and D, consecutively, and were investigated at two levels (+ 1 and − 1). A linear mathematical model representing the influence of the different variables and their interactions was obtained. Main effect, Normal probability plot of residuals, analysis of variance (ANOVA), surface plots, and contour plots were used to study the effects and interaction effects between ope…

ChemistryAnalytical chemistry02 engineering and technologyNormal probability plotFactorial experiment010501 environmental sciences021001 nanoscience & nanotechnologyInteraction01 natural sciencesAnalytical ChemistryAdsorptionContour linemedicineMain effectProcess optimization0210 nano-technologySpectroscopy0105 earth and related environmental sciencesActivated carbonmedicine.drugMicrochemical Journal
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Aldicarb residues in citrus soil, leaves and fruits

1990

Aldicarb was applied to the soil of Late Valencia orange field plots. A comparative study between four analytical methods is reported, the NPD-gas chromatography method being the best choice. The work also reports the study of accumulation and persistence of aldicarb and its biologically active metabolites in the soil, leaves and fruits (rind and pulp, separately). Residue content, at the ppb level, was found in the order leaves much greater than rind greater than pulp. Carbamate was found to accumulate mainly in its oxidized forms. Residues had reached a maximum level in about 90 days after application.

CitrusChromatography GasAldicarbChemistryHealth Toxicology and MutagenesisPesticide ResiduesPublic Health Environmental and Occupational HealthGeneral ChemistryToxicologyValencia orangefood.foodSoilField plotchemistry.chemical_compoundHorticulturefoodChemistry (miscellaneous)Environmental chemistryColorimetryGas chromatographyAldicarbChromatography High Pressure LiquidFood ScienceFood Additives and Contaminants
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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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Quantum Identification of Boolean Oracles

2004

The oracle identification problem (OIP) is, given a set S of M Boolean oracles out of 2 N ones, to determine which oracle in S is the current black-box oracle. We can exploit the information that candidates of the current oracle is restricted to S. The OIP contains several concrete problems such as the original Grover search and the Bernstein-Vazirani problem. Our interest is in the quantum query complexity, for which we present several upper bounds. They are quite general and mostly optimal: (i) The query complexity of OIP is \(O(\sqrt{N {\rm log} M {\rm log} N}{\rm log log} M)\) for anyS such that M = |S| > N, which is better than the obvious bound N if M \(< 2^{N/log^3 N}\). (ii) It is \…

CombinatoricsStatistics::TheoryLog-log plotTheoryofComputation_GENERALQuantum walkQuantum algorithmComputer Science::Computational ComplexityBoolean functionUpper and lower boundsOracleQuantum computerMathematicsRandom oracle
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