Search results for "47"

showing 10 items of 1382 documents

Pētera Šmita sarakste ar Jāni Misiņu par latviešu valodas mācīšanu skolā, uzmanības pievēršanu tautas dziesmām, etnogrāfijai, lūgumu atsūtīt grāmatas

1916

P. Šmits vēstulē J. Misiņam izsaka pārdomas par stāvokli Rīgā, jo rit Pirmais pasaules karš, kā arī izsaka pārdomas par sava "Etnografisku rakstu krājuma" nākamā sējuma saturu, latviešu valodas mācīšanu skolā, uzmanības pievēršanu tautas dziesmām, etnogrāfijai. Vēstulē izskan lūgums atsūtīt vairākas grāmatas - kā J. Lautenbaha-Jūsmiņa, tā A. Niedras, Apsīšu Jēkaba, V. Rahmanova, H. Zālītes, E. Dinsberga, G. Merķeļa u.c. autoru, kā arī žurnālu "Druva" iznākušos numurus.

Zālīte Hermīne (1858-1932)Ārons MatīssKundziņš KārlisРахманов Владимир Васильевич (1864-1918)Niedra Andrievs:HUMANITIES and RELIGION [Research Subject Categories]Siliņš MatīssMīlenbahs KārlisBračs AugustsLautenbahs-Jūsmiņš Jākabs (1847-1928)Лаутенбах Я. (1847-1928)Dinsbergs ErnestsSaulietis AugustsValdemārs KrišjānisetnogrāfijaBaumanis EdgarsŠmits PēterisMerķelis GarlībsRahmanovs Vladimirs (1864-1918)Kronvalds Atistautasdziesmas
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Interior Eigenvalue Density of Jordan Matrices with Random Perturbations

2017

International audience; We study the eigenvalue distribution of a large Jordan block subject to a small random Gaussian perturbation. A result by E. B. Davies and M. Hager shows that as the dimension of the matrix gets large, with probability close to 1, most of the eigenvalues are close to a circle.We study the expected eigenvalue density of the perturbed Jordan block in the interior of that circle and give a precise asymptotic description.; Nous étudions la distribution de valeurs propres d’un grand bloc de Jordan soumis à une petite perturbation gaussienne aléatoire. Un résultat de E. B. Davies et M. Hager montre que quand la dimension de la matrice devient grande, alors avec probabilité…

[ MATH ] Mathematics [math]Jordan matrixSpectral theoryGaussian010102 general mathematicsMathematical analysisPerturbation (astronomy)Mathematics::Spectral Theory01 natural sciences010104 statistics & probabilityMatrix (mathematics)symbols.namesakesymbolsRandom perturbations[MATH]Mathematics [math]MSC: 47A10 47B80 47H40 47A550101 mathematicsDivide-and-conquer eigenvalue algorithmSpectral theoryEigenvalue perturbationEigenvalues and eigenvectorsNon-self-adjoint operatorsMathematics
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An attempt to classification of the quasi rational solutions to the NLS equation

2015

Based on a representation in terms of determinants of order 2N , an attempt to classification of quasi rational solutions to the one dimensional focusing nonlinear Schrödinger equation (NLS) is given and several conjectures about the structure of the solutions are also formulated. These solutions can be written as a product of an exponential depending on t by a quotient of two polynomials of degree N (N + 1) in x and t depending on 2N −2 parameters. It is remarkable to mention that in this representation, when all parameters are equal to 0, we recover the PN breathers.

[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph][ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph][MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]37K10 33Q55 4710A- 4735Fg 4754Bd
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N-order rational solutions to the Johnson equation depending on 2N - 2 parameter

2017

International audience; We construct rational solutions of order N depending on 2N-2 parameters. They can be written as a quotient of 2 polynomials of degree 2N(N+1) in x, t and 2N(N+1) in y depending on 2N-2 parameters. We explicitly construct the expressions of the rational solutions of order 4 depending on 6 real parameters and we study the patterns of their modulus in the plane (x,y) and their evolution according to time and parameters a1,a2,a3,b1,b2,b3.

[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph][ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph][MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]PACS numbers : 33Q55 37K10 47.10A- 47.35.Fg 47.54.Bd
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Multi-parametric families solutions to the Burgers equation

2021

We construct 2N real parameter solutions to the Burgers' equation in terms of determinant of order N and we call these solutions, N order solutions. We deduce general expressions of these solutions in terms of exponentials and study the patterns of these solutions in functions of the parameters for N = 1 until N = 4.

[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph][MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]PACS numbers : 33Q55 37K10 47.10A- 47.35.Fg 47.54.BdBurgers equation
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La gestion des betteraves adventices résistantes à un herbicide: une approche par simulation

2007

National audience; Les variétés de betteraves sucrières génétiquement modifiées (GM) résistantes à un herbicide sont, a priori, intéressantes dans des champs fortement infestés par la betterave adventice. Cependant, la montée à fleurs de ces betteraves GM peut entraîner l’apparition d’individus résistants, via la dispersion de pollen. Nous avons développé et utilisé le modèle GENESYS-Betterave pour simuler, à l’échelle d’une petite région agricole, l’impact des pratiques culturales sur la dispersion du transgène. Il permet d'identifier des stratégies pour contrôler les adventices et limiter l'apparition de populations résistantes en zone de production de betterave sucrière. L’utilisation de…

[SDE] Environmental Scienceshttp://aims.fao.org/aos/agrovoc/c_24242http://aims.fao.org/aos/agrovoc/c_28744[SDV]Life Sciences [q-bio]Évaluation du risquehttp://aims.fao.org/aos/agrovoc/c_5728H60 - Mauvaises herbes et désherbageFlux de gènesPollution par l'agriculture[SHS]Humanities and Social SciencesMéthode de luttehttp://aims.fao.org/aos/agrovoc/c_33990http://aims.fao.org/aos/agrovoc/c_34285http://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_2018Variétéhttp://aims.fao.org/aos/agrovoc/c_3566http://aims.fao.org/aos/agrovoc/c_8157http://aims.fao.org/aos/agrovoc/c_37932Résistance aux pesticidesSaccharum officinarumU10 - Informatique mathématiques et statistiquesExpérimentation au champhttp://aims.fao.org/aos/agrovoc/c_6727Modèle de simulationhttp://aims.fao.org/aos/agrovoc/c_25427[SDV] Life Sciences [q-bio]Pratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347Organisme génétiquement modifié[SDE]Environmental SciencesSystème de culture[SHS] Humanities and Social SciencesHerbicidehttp://aims.fao.org/aos/agrovoc/c_1971P02 - PollutionMauvaise herbe
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Cropping system dynamics, climate variability, and seed losses among East African smallholder farmers: a retrospective survey.

2014

Abstract Climate variability directly affects traditional low input and rain-fed farming systems, but few studies have paid attention retrospectively to the cropping system’s ability to mitigate climate risk. This study analyzes the impacts of rainfall variability on farmers’ seed variety losses over time, considering changes in smallholder farming systems. The cropping system dynamics, in favoring maize at the expense of sorghum and pearl millet, have induced an increasing risk of seed loss during drought. Combining ecological anthropology and climatology, a retrospective survey asking farmers about the period 1961–2006 was carried out at three altitudinal levels (750, 950, and 1100 m) on …

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesAtmospheric Sciencehttp://aims.fao.org/aos/agrovoc/c_1969F08 - Systèmes et modes de cultureFacteur climatiqueF30 - Génétique et amélioration des plantesCropping systemPennisetum glaucumhttp://aims.fao.org/aos/agrovoc/c_8157[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesComputingMilieux_MISCELLANEOUS2. Zero hungerGlobal and Planetary ChangebiologyEcologyAgroforestryAgriculturehttp://aims.fao.org/aos/agrovoc/c_6927Sorghum bicolor[ SDE.MCG ] Environmental Sciences/Global ChangesGeographyhttp://aims.fao.org/aos/agrovoc/c_6523http://aims.fao.org/aos/agrovoc/c_8504http://aims.fao.org/aos/agrovoc/c_13199[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatologyhttp://aims.fao.org/aos/agrovoc/c_6161[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyP40 - Météorologie et climatologiehttp://aims.fao.org/aos/agrovoc/c_29554[SDE.MCG]Environmental Sciences/Global ChangesZea maysSocietal impactsPetite exploitation agricoleSécheressehttp://aims.fao.org/aos/agrovoc/c_7247Retrospective surveyConservation des ressourceshttp://aims.fao.org/aos/agrovoc/c_2391F03 - Production et traitement des semenceshttp://aims.fao.org/aos/agrovoc/c_1666PrecipitationVariétéClimate variabilitySemencePerte de récolteChangement climatiquePrécipitationbusiness.industryClimate riskLow inputSorghumbiology.organism_classification[SDE.ES]Environmental Sciences/Environmental and SocietyIncreasing riskhttp://aims.fao.org/aos/agrovoc/c_408613. Climate actionAgricultureAfricaSystème de culturehttp://aims.fao.org/aos/agrovoc/c_1971businessSocial Sciences (miscellaneous)http://aims.fao.org/aos/agrovoc/c_7113
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Étude des interconnexions dans les réseaux de régulation de Listeria monocytogenes en réponse aux conditions de l'environnement

2019

The facultative intracellular pathogen Listeria monocytogenes is a highly adaptable organism widely distributed in the environment. The ingestion of food contaminated with L. monocytogenes by at-risk individuals can ultimately lead to listeriosis, one of the leading causes of food-borne fatalities in developed countries. Regulatory networks are crucial for the adaptation and survival of this pathogen. The accessory gene regulator (Agr) system has been shown to be involved in virulence, biofilm formation, and survival of L. monocytogenes, affecting the transcription of over 700 genes. The alternative sigma factor Sigma B (σB) controls the general stress response in L. monocytogenes, regulati…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesRéseaux de régulationAdaptationSigma BListeria monocytogenesRegulatory networksRli47AgrA
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Use of marked strains of pathogenic (FOL8) and protective (FO47) Fusarium oxysporum to visualize their interactions with the tomato root in soil

2008

Several modes of action have been proposed to explain the biocontrol capacity of the Fusarium oxysporum protective strain Fo47, especially competition with the pathogen for root colonization. Confocal microscopy has been used to visualize the interactions between the ransformed strains and the tomato root in soil. A disinfested soil was infested by Fo47 GFP, Fol8 DsRed2, or both fungi together at several concentrations before transplanting tomato seedlings. The general pattern of soil and root colonization was similar for the two fungi, but the saprophytic development of Fo47 was faster than that of the pathogenic strain. Conidia, at the surface of soil particles, germinated as early as 18 …

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesmarked strain[SDV]Life Sciences [q-bio][SDE]Environmental SciencesfungiFO47tomato rootinteractionFOL8pathogensoil
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Obtention et caractérisation, phénotypique et génotypique, de mutants de la souche Fusarium oxysporum Fo47, affectés dans leur aptitude antagoniste

2002

*INRA Centre de Dijon (FRA) Diffusion du document : INRA Centre de Dijon (FRA) Diplôme : Dr. d'Université

[SDV] Life Sciences [q-bio][SDV]Life Sciences [q-bio]FO47these
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