Search results for "back"

showing 10 items of 2078 documents

Characterisation of the external features ofSchistocephalus solidus (M�ller, 1776) (Cestoda) from different geographical regions and an assessment of…

1995

A comparative study of some morphological (segment number, scolex morphology and biometry, length and weight) and biological (maturation in different hosts) features ofSchistocephalus solidus plerocercoids and adults from different geographical regions (Baltic Sea and the British Isles) was carried out. The length of the plerocercoids fromGasterosteus aculeatus was shown to be the variable that best correlated with segment number. A very clear bimodal distribution of segment numbers separated the majority of British and Baltic plerocercoids (British n=21, mean length 25.48, SD 5.63, range 14–34 mm; mean segment number 66.33, SD 8.68, range 51–86. Baltic n=30, mean length 33.23, SD 4.64, ran…

biologyRange (biology)CestodaSticklebackCormorantZoologySolidusAnatomybiology.organism_classificationBaltic seaAnimal ecologybiology.animalPlerocercoidParasitologySystematic Parasitology
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Genetic basis of speed of development in Senecio vulgaris L var. vulgaris, S. vulgaris ssp. denticulatus (O.F. Muell.) P.D. Sell, and Senecio vernali…

1996

The genetic basis of differences in speed of development from germination to first bud formation was investigated in Senecio vulgaris var. vulgaris and S. vulgaris ssp. denticulatus, and also in S. vernalis sampled from Israel and Germany. In the case of S. vulgaris, F2 segregation analysis and the recovery of very late and very early lines from extreme F2 phenotypes showed that differences can be explained by a single major gene model, whereas segregation data from F2 and backcross progenies in S. vernalis are not incompatible with a digenic model of inheritance. Senecio vernalis from Israel and S. vulgaris var. vulgaris reached the different developmental stages in a substantially shorter…

biologySenecio vulgarisfood and beveragesbiology.organism_classificationMajor geneRosette (botany)GerminationBackcrossingBotanyGeneticsArabidopsis thalianaSenecio vernalisHeterochronyGenetics (clinical)Heredity
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Nonlinear Feedback Control and Stability Analysis of a Proof-of-Work Blockchain

2017

In this paper a novel feedback controller and stability analysis of a blockchain implementation is developed by using a control engineering perspective. The controller output equals the difficulty adjustment in the mining process while the feedback variable is the average block time over a certain time period. The computational power (hash rate) of the miners is considered a disturbance in the model. The developed controller is tested against a simulation model with constant disturbance, step and ramp responses as well as with a high-frequency sinusoidal disturbance. Stability and a fast response is demonstrated in all these cases with a controller which adjusts it's output at every new blo…

blockchain0209 industrial biotechnologyBlockchainComputer scienceFeedback control020208 electrical & electronic engineeringStability (learning theory)feedbackNonlinear02 engineering and technologystabilitylcsh:QA75.5-76.95Computer Science ApplicationsNonlinear system020901 industrial engineering & automationdisturbance rejectionControl and Systems EngineeringControl theoryModeling and SimulationProof-of-work system0202 electrical engineering electronic engineering information engineeringlcsh:Electronic computers. Computer sciencecontrol systemSoftwareModeling, Identification and Control: A Norwegian Research Bulletin
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Correlations of isokinetic and psychophysical back lift and static back extensor endurance tests in men

1994

Isokinetic lift, psychophysical lift, and static back endurance tests are among the most widely used measurements of muscle function for determining risk for, and recovery from, back problems. After determining test repeatability we examined the degree of association between these test measures in 100 men selected to represent a variety of occupations and lifestyles. Isokinetic lifting had low correlations with test results for psychophysical lifting (r = 0.28) and static back endurance (r = 0.24). Static back endurance and psychophysical lift test results were not at all correlated (r = 0.03). RELEVANCE--:Muscle function measurements for back problems are sometimes arbitrarily selected due…

body regionsmedicine.medical_specialtyPhysical medicine and rehabilitationLift (data mining)Back problemsBiophysicsmedicinePhysical therapyOrthopedics and Sports MedicineDegree of associationRepeatabilityhuman activitiesMathematicsClinical Biomechanics
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Pathogenicity and possible biological control of fungi associated to Botryosphaeria dieback of grapevine in Western Sicily

2018

Botryosphaeria dieback is a widespread grapevine trunk disease caused by species of fungi within the family Botryosphaeriaceae. Symptoms of the disease include bud necrosis, leaf chlorosis, vascular discoloration of the wood, cankers and dieback. In 2013 typical symptoms of Botryosphaeria dieback was observed in Western Sicily and four species associated with the syndrome were isolated and identified as Diplodia seriata, Lasiodiplodia mediterranea, Neofusicoccum parvum and Neofusicoccum vitifusiforme. In order to fulfill Koch’s postulates, pathogenicity tests of eighteen isolates were performed on two-year grapevine cuttings of cv. Inzolia. Six months after inoculation all the Botryosphaeri…

botryosphaeria diebackBacillus amyloliquefaciensbiological controlSettore AGR/12 - Patologia Vegetale
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Assessing the efficiency of Chilean water and sewerage companies accounting for uncertainty

2016

Abstract Efficiency assessment of water and sewerage companies (WaSCs) has attracted considerable attention both for water company managers and water regulators. Within the methodological approaches that can be applied to estimate efficiency scores, data envelopment analysis (DEA) is the most widely applied technique. In spite of the positive features of DEA, it presents a major drawback which is its deterministic nature. In other words, conventional DEA models do not account for uncertainty in the data. To overcome this limitation, we assess, for the first time, the efficiency of a sample of Chilean WaSCs by using a DEA model with statistical tolerance in the data. Hence, 81 efficiency sco…

business.industry0208 environmental biotechnologyGeography Planning and DevelopmentSample (statistics)02 engineering and technologyWater industry010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciences020801 environmental engineeringIdentification (information)Water companyRankingSewerageEconomicsEconometricsData envelopment analysisbusiness0105 earth and related environmental sciencesDrawbackEnvironmental Science & Policy
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Nonlinear radial-harmonic correlation using binary decomposition for scale-invariant pattern recognition

2003

We introduce a new scale-invariant pattern-recognition method that uses nonlinear correlation. We applied several common linear correlations to images decomposed into disjoint binary images, which is very discriminant even when the target is embedded in strong noise. We combine our sliced orthogonal nonlinear generalized correlation method and the radial-harmonic expansion in order to achieve scale-invariant pattern recognition. The information from a radial harmonic for each binary slice of the reference object is combined with binary slices of the target. The method avoids the time-consuming process of finding expansion centers for the radial harmonics. The stability of the correlation pe…

business.industryBinary imageBinary numberPattern recognitionScale invarianceAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsBackground noiseNonlinear systemsymbols.namesakeNoiseOpticsGaussian noiseHarmonicsymbolsArtificial intelligenceElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessMathematicsOptics Communications
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Improved rotation invariant pattern recognition using circular harmonics of binary gray level slices

2000

We introduce a new rotation invariant pattern recognition method based on nonlinear correlation. The images are decomposed into disjoint binary slices and then correlated using the common linear correlation. This operation is very discriminant even when the target is embedded in strong noise. We extend our sliced orthogonal nonlinear generalized correlation method to rotation invariant pattern recognition by combining the information of a circular harmonic (CH) of each binary slice of the reference object with binary slices of the target. In addition to improved discrimination capability, the method avoids the time-consuming process of finding proper centers for the CHs. Results are present…

business.industryBinary numberDisjoint setsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsBackground noiseNoisesymbols.namesakeOpticsGaussian noisePattern recognition (psychology)symbolsRotational invarianceElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessRotation (mathematics)MathematicsOptics Communications
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Analytical characteristics, applications and perspectives in thermal lens spectrometry

1993

Abstract The following selected aspects of thermal lens spectrometry are briefly outlined: fundamentals, sensitivity and background noise, detection approaches, flowing samples, multi-wavelength experiments, thermal lens circular dichroism, associated colateral phenomena and physico-chemical applications and requirements of analytical procedures. The state-of-the-art and problems encountered are discussed.

business.industryChemistryAnalytical chemistryPhysics::OpticsMass spectrometryBiochemistryAnalytical Chemistrylaw.inventionLens (optics)Background noiseOpticslawThermalEnvironmental ChemistryAnalytical proceduresSensitivity (control systems)businessSpectroscopyAnalytica Chimica Acta
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Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling

2008

Automated video surveillance applications require accurate separation of foreground and background image content. Cost-sensitive embedded platforms place real-time performance and efficiency demands on techniques to accomplish this task. In this chapter, we evaluate pixel-level foreground extraction techniques for a low-cost integrated surveillance system. We introduce a new adaptive background modeling technique, multimodal mean (MM), which balances accuracy, performance, and efficiency to meet embedded system requirements. Our evaluation compares several pixel-level foreground extraction techniques in terms of their computation and storage requirements, and functional accuracy for three r…

business.industryComputer scienceComputationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideo sequenceMixture modelExecution timeReduction (complexity)Task (computing)Computer visionArtificial intelligenceREAL-TIME SURVEILLANCEbusinessBackground imageMM algorithm
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