Search results for "Linear"

showing 10 items of 7165 documents

Monte Carlo simulation of many-arm star polymers in two-dimensional good solvents in the bulk and at a surface

1991

A Monte Carlo technique is proposed for the simulation of statistical properties of many-arm star polymers on lattices. In this vectorizing algorithm, the length of each arml is increased by one, step by step, from a starting configuration withl=1 orl=2 which is generated directly. This procedure is carried out for a large sample (e.g., 100,000 configurations). As an application, we have studied self-avoiding stars on the square lattice with arm lengths up tol max=125 and up tof=20 arms, both in the bulk and in the geometry where the center of the star is adsorbed on a repulsive surface. The total number of configurations, which behaves asN∼l γ G–1μ fl , whereμ=2.6386 is the usual effective…

Distribution functionCoordination numberMonte Carlo methodStatistical and Nonlinear PhysicsGeometryStar (graph theory)Radial distribution functionSquare latticeMolecular physicsCritical exponentMathematical PhysicsSelf-avoiding walkMathematicsJournal of Statistical Physics
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EFFECT OF A FLUCTUATING ELECTRIC FIELD ON ELECTRON SPIN DEPHASING TIME IN III–V SEMICONDUCTORS

2012

We investigate the electron spin dephasing in low n-doped GaAs semiconductor bulks driven by a correlated fluctuating electric field. The electron dynamics is simulated by a Monte Carlo procedure which keeps into account all the possible scattering phenomena of the hot electrons in the medium and includes the evolution of spin polarization. Spin relaxation times are computed through the D’yakonov–Perel process, which is the only relevant relaxation mechanism in zinc-blende semiconductors. The decay of initial spin polarization of conduction electrons is calculated for different values of field strength, noise intensity and noise correlation time. For values of noise correlation time compara…

Distribution theory and Monte Carlo studieHigh-field and nonlinear effectSpin relaxation and scatteringNoise processes and phenomenaSettore FIS/03 - Fisica Della Materia
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On multiples of divisors associated to Veronese embeddings with defective secant variety

2009

In this note we consider multiples aD, where D is a divisor of the blow-up of P^n along points in general position which appears in the Alexander and Hirschowitz list of Veronese embeddings having defective secant varieties. In particular we show that there is such a D with h^1(X,D) > 0 and h^1(X,2D) = 0.

DivisorGeneral MathematicsLinear systemLinear systems14C20CombinatoricsMathematics - Algebraic GeometrySecant varietyLinear systems fat pointsFOS: MathematicsSettore MAT/03 - Geometriafat pointsAlgebraic Geometry (math.AG)General positionMultipleMathematics
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Application of the Wood model to lactation curves of Comisana sheep

1997

Abstract Ninety-two ewes of the Comisana breed were used in a study to verify the forecasting capacity of the mathematical model proposed by Wood for fitting sheep data, and to evaluate the effect of the environmental factors affecting the parameters of the lactation curve. The Wood model underestimated the total lactation milk production with an error margin of 12.2 ± 7.8 kg of milk corresponding to 10.9 ± 6.6%. There was a strong influence of order of lambing × lambing season interaction on the lactation parameters. The curves for the winter lambing ewes demonstrated a higher peak production than autumn lambing ewes (1728.4 vs. 1082.6 g, P ≤ 0.05 for the second lambing ewes and 1772.8 vs.…

Domestic sheep reproductionComisana sheepMilk productionBreedPersistence (computer science)Animal sciencemedicine.anatomical_structureFood AnimalsLactationLinear regressionmedicineAnimal Science and ZoologyNegative correlationMathematics
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Effects of escitalopram on the regulation of brain-derived neurotrophic factor and nerve growth factor protein levels in a rat model of chronic stres…

2009

Escitalopram (ES-CIT) is a widely used, highly specific antidepressant. Until now there has been very little evidence on how this drug under pathological conditions affects an important feature within the pathophysiology of stress-related disorders such as depression: the endogenous neurotrophins. By using a well-characterized rat model in which chronic stress induces depressive-like behavior, the levels of neurotrophins brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) were determined in representative brain regions and serum using a highly sensitive improved fluorometric two-site ELISA system. There was a significant increase of BDNF in the left and right cortices aft…

Dominance-SubordinationMalemedicine.medical_specialtyDrinking BehaviorEnzyme-Linked Immunosorbent AssayCitalopramFunctional LateralityCellular and Molecular NeuroscienceNeurotrophic factorsInternal medicineAdrenal GlandsNerve Growth FactormedicineAnimalsChronic stressRats WistarSocial stressBrain-derived neurotrophic factorbiologyBrain-Derived Neurotrophic FactorBody WeightBrainOrgan SizeCortex (botany)RatsEndocrinologyNerve growth factornervous systemChronic Diseasebiology.proteinLinear ModelsAntidepressantAntidepressive Agents Second-GenerationPsychologyStress PsychologicalNeurotrophinJournal of neuroscience research
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Electrochemical detection of dopamine with negligible interference from ascorbic and uric acid by means of reduced graphene oxide and metals-NPs base…

2021

Abstract Dopamine is an important neurotransmitter involved in many human biological processes as well as in different neurodegenerative diseases. Monitoring the concentration of dopamine in biological fluids, i.e., blood and urine is an effective way of accelerating the early diagnosis of these types of diseases. Electrochemical sensors are an ideal choice for real-time screening of dopamine as they can achieve fast, portable inexpensive and accurate measurements. In this work, we present electrochemical dopamine sensors based on reduced graphene oxide coupled with Au or Pt nanoparticles. Sensors were developed by co-electrodeposition onto a flexible substrate, and a systematic investigati…

Dopaminechemistry.chemical_elementMetal NanoparticlesNanotechnologyAscorbic AcidPlatinum nanoparticlesBiochemistryAnalytical Chemistrylaw.inventionlawSettore ING-IND/17 - Impianti Industriali MeccaniciEnvironmental ChemistryHumansElectrodesSpectroscopyPlatinumDetection limitChemistryGrapheneSubstrate (chemistry)Electrochemical TechniquesUric AcidSettore ING-IND/23 - Chimica Fisica ApplicataLinear rangeColloidal goldElectrodeGraphiteGoldDopamine Electrochemical sensor Graphene oxide Metal nanoparticles Neurodegenerative disease UrinePlatinumAnalytica chimica acta
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Bounded weak solutions to superlinear Dirichlet double phase problems

2023

AbstractIn this paper we study a Dirichlet double phase problem with a parametric superlinear right-hand side that has subcritical growth. Under very general assumptions on the data, we prove the existence of at least two nontrivial bounded weak solutions to such problem by using variational methods and critical point theory. In contrast to other works we do not need to suppose the Ambrosetti–Rabinowitz condition.

Double phase operatorAlgebra and Number TheorySettore MAT/05 - Analisi MatematicaCritical point theorySuperlinear nonlinearityLocation of the solutionsMathematical PhysicsAnalysisParametric problem
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Matching factorization theorems with an inverse-error weighting

2018

We propose a new fast method to match factorization theorems applicable in different kinematical regions, such as the transverse-momentum-dependent and the collinear factorization theorems in Quantum Chromodynamics. At variance with well-known approaches relying on their simple addition and subsequent subtraction of double-counted contributions, ours simply builds on their weighting using the theory uncertainties deduced from the factorization theorems themselves. This allows us to estimate the unknown complete matched cross section from an inverse-error-weighted average. The method is simple and provides an evaluation of the theoretical uncertainty of the matched cross section associated w…

Drell-Yan processNuclear and High Energy PhysicsFOS: Physical sciencesInversegauge boson: hadroproduction01 natural sciencestransverse momentum: momentum spectrumCross section (physics)High Energy Physics - Phenomenology (hep-ph)FactorizationfactorizationSimple (abstract algebra)0103 physical sciencesquantum chromodynamicsApplied mathematics010306 general physicshadron hadron: interactionBosonQuantum chromodynamicsPhysics010308 nuclear & particles physicsmatchingdeep-inelastic processesfactorization: collinearHigh Energy Physics::Phenomenologyfactorization; Quantum Chromodynamics; matching; power corrections; deep-inelastic processesDrell–Yan processlcsh:QC1-999WeightingHigh Energy Physics - Phenomenologykinematics[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]transverse momentum: factorization[ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]power correctionslcsh:Physics
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Analysis of hazardous chemicals by “stand alone” drift tube ion mobility spectrometry: a review

2020

Ion mobility spectrometry (IMS) is a widely used technique based on gas phase ion separation under an electric field by differences in ion mobilities. In the last decade, IMS techniques have received increased attention due to their high operational speed and sensitivity. Currently, there are different IMS devices focused on solving different analytical performances, mainly based on linear drift tube (DT IMS), traveling wave, and field asymmetric waveform ion mobility spectrometers. In this review we summarize the main applications of DT-IMS devices for the determination of semi-volatile hazardous chemicals such as: illegal drugs, pesticides, explosives, chemical warfare agents, and others,…

Drift tubeExplosive materialSpectrometerbusiness.industryIon-mobility spectrometryGeneral Chemical EngineeringGeneral EngineeringLinear driftAnalytical ChemistryIonHazardous wasteComputer Science::Networking and Internet ArchitectureEnvironmental scienceAsymmetric waveformProcess engineeringbusinessAnalytical Methods
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New antitrichomonal drug-like chemicals selected by bond (edge)-based TOMOCOMD-CARDD descriptors.

2008

Bond-based quadratic indices, new TOMOCOMD-CARDD molecular descriptors, and linear discriminant analysis (LDA) were used to discover novel lead trichomonacidals. The obtained LDA-based quantitative structure-activity relationships (QSAR) models, using nonstochastic and stochastic indices, were able to classify correctly 87.91% (87.50%) and 89.01% (84.38%) of the chemicals in training (test) sets, respectively. They showed large Matthews correlation coefficients of 0.75 (0.71) and 0.78 (0.65) for the training (test) sets, correspondingly. Later, both models were applied to the virtual screening of 21 chemicals to find new lead antitrichomonal agents. Predictions agreed with experimental resu…

DrugAdultQuantitative structure–activity relationshipStereochemistrymedia_common.quotation_subjectOvariectomyDrug Evaluation PreclinicalTrichomonas InfectionsAntitrichomonal AgentsBiochemistryAnalytical Chemistrychemistry.chemical_compoundIn vivoMolecular descriptorDrug Resistance BacterialTrichomonas vaginalisAnimalsHumansRats Wistarmedia_commonChromatographyMolecular StructureChemistryDiscriminant AnalysisLinear discriminant analysisRatsAntitrichomonal agentEdge basedMolecular MedicineComputer-Aided DesignFemaleSoftwareBiotechnologyJournal of biomolecular screening
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