366 research outputs found

    Asymptotics of the trap-dominated Gunn effect in p-type Ge

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    We present an asymptotic analysis of the Gunn effect in a drift-diffusion model---including electric-field-dependent generation-recombination processes---for long samples of strongly compensated p-type Ge at low temperature and under dc voltage bias. During each Gunn oscillation, there are different stages corresponding to the generation, motion and annihilation of solitary waves. Each stage may be described by one evolution equation for only one degree of freedom (the current density), except for the generation of each new wave. The wave generation is a faster process that may be described by solving a semiinfinite canonical problem. As a result of our study we have found that (depending on the boundary condition) one or several solitary waves may be shed during each period of the oscillation. Examples of numerical simulations validating our analysis are included.Comment: Revtex, 25 pag., 5 fig., to appear Physica

    Variación del valor nutritivo de pastos de tierra fría, 3. Falsa poa (Holcus lanatus L.) en épocas de lluvia y sequía.

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    La ecuación de regresión de la energía digestible, presentó un coeficiente de determinación muy bajo (23 por ciento) lo cual indica que parámetros diferentes a los químicos estan afectando la energía digestiblePastos y forraje

    Fluctuaciones minerales en pastos de clima frío, 3. Falsa poa (Holcus lanatus) en épocas de lluvia y sequía.

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    El experimento se realizó durante 13 meses en los centros ovinos Don Benito (Zipaquirá) y San Francisco (Ventaquemada) con el objeto de conocer las fluctuaciones minerales ocurridas durante la época de lluvia y de sequía en las variedades nativas e importadas de la especie forrajera falsa poa (Holcus lanatus). Las muestras de forraje fueron tomadas de praderas bajo pastoreo rotacional. La mayoría de los macro y micro elementos estudiados presentaron concentraciones más altas (P menor que 0.01) en el invierno que en el verano, excepto el Ca y el Fe. Las concentraciones consideradas normales para los animales no aparecieron con ningún mineral, aunque se aproximaron mucho el Ca y el S. El P, Mg, Na, Cu y Zn alcanzaron niveles llamados críticos, lo cual implica que estos elementos deben suministrarse en las mezclas minerales, bajo la forma de sales inorgánicas, El K y Mn mostraron altas concentraciones que sin llegar a niveles tóxicos, podrían interferir la utilización de P, Mg, Cu y Zn. El P y el Mg presentaron diferente concentración (P menor que 0.01) entre las variedades nativa e importada, en cambio en Ca, S, F y Mn, las concentraciones variaron entre Don Benito y San Francisco. Hubo interacciones ente época/especie forrajera (Ca y Mg), época finca (P, Fe, Mn y Cu) y especie/finca (P y Fe). No se halló interacción de época/especie/finca en ninguno de los elementos estudiadosPastos y forraje

    Minimal speed of fronts of reaction-convection-diffusion equations

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    We study the minimal speed of propagating fronts of convection reaction diffusion equations of the form ut+μϕ(u)ux=uxx+f(u)u_t + \mu \phi(u) u_x = u_{xx} +f(u) for positive reaction terms with f(0>0f'(0 >0. The function ϕ(u)\phi(u) is continuous and vanishes at u=0u=0. A variational principle for the minimal speed of the waves is constructed from which upper and lower bounds are obtained. This permits the a priori assesment of the effect of the convective term on the minimal speed of the traveling fronts. If the convective term is not strong enough, it produces no effect on the minimal speed of the fronts. We show that if f(u)/f(0)+μϕ(u)<0f''(u)/\sqrt{f'(0)} + \mu \phi'(u) < 0, then the minimal speed is given by the linear value 2f(0)2 \sqrt{f'(0)}, and the convective term has no effect on the minimal speed. The results are illustrated by applying them to the exactly solvable case ut+μuux=uxx+u(1u)u_t + \mu u u_x = u_{xx} + u (1 -u). Results are also given for the density dependent diffusion case ut+μϕ(u)ux=(D(u)ux)x+f(u)u_t + \mu \phi(u) u_x = (D(u)u_x)_x +f(u).Comment: revised, new results adde

    Energy Norms and the Stability of the Einstein Evolution Equations

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    The Einstein evolution equations may be written in a variety of equivalent analytical forms, but numerical solutions of these different formulations display a wide range of growth rates for constraint violations. For symmetric hyperbolic formulations of the equations, an exact expression for the growth rate is derived using an energy norm. This expression agrees with the growth rate determined by numerical solution of the equations. An approximate method for estimating the growth rate is also derived. This estimate can be evaluated algebraically from the initial data, and is shown to exhibit qualitatively the same dependence as the numerically-determined rate on the parameters that specify the formulation of the equations. This simple rate estimate therefore provides a useful tool for finding the most well-behaved forms of the evolution equations.Comment: Corrected typos; to appear in Physical Review

    Exploring new physics in the late Universe’s expansion through non-parametric inference

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    In this study, we investigate deviations from the Planck-CDM model in the late universe (z 2.5) using the Gaussian Processes method, with minimal assumptions. Our goal is to understand where exploring new physics in the late universe is most relevant. We analyze recent Cosmic Chronometers (CC), Type Ia Supernovae (SN), and Baryon Acoustic Oscillations (BAO) data. By examining reconstructions of the dimensionless parameter δ(z), which measures deviations of the Hubble parameter from the Planck-CDM predictions, we identify intriguing features at low (z 0.5) and high (z 2) redshifts. Deviations from the Planck- CDM model were not significant between 0.5 z 2. Using the combined CC+SN+BAO dataset, we gain insights into dark energy (DE) dynamics, resembling characteristics of omnipotent DE, extending beyond quintessence and phantom models. DE exhibits n-quintessence traits for z 2, transitioning with a singularity around z ∼ 2 to usual phantom traits in 1 z 2. DE characteristics differ between scenarios (H0-SH0ES and H0-&CMB), with H0-SH0ES leaning towards phantom traits and H0-&CMB towards quintessence. We suggest exploring new physics at z 0.5 and 1.5 z 2.5, particularly around z = 2, to understand cosmological tensions such as H0 and S

    Extending the lifetime of 3D black hole computations with a new hyperbolic system of evolution equations

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    We present a new many-parameter family of hyperbolic representations of Einstein's equations, which we obtain by a straightforward generalization of previously known systems. We solve the resulting evolution equations numerically for a Schwarzschild black hole in three spatial dimensions, and find that the stability of the simulation is strongly dependent on the form of the equations (i.e. the choice of parameters of the hyperbolic system), independent of the numerics. For an appropriate range of parameters we can evolve a single 3D black hole to t600Mt \simeq 600 M -- 1300M1300 M, and are apparently limited by constraint-violating solutions of the evolution equations. We expect that our method should result in comparable times for evolutions of a binary black hole system.Comment: 11 pages, 2 figures, submitted to PR

    Leveraging natural history biorepositories as a global, decentralized, pathogen surveillance network

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    The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic reveals a major gap in global biosecurity infrastructure: a lack of publicly available biological samples representative across space, time, and taxonomic diversity. The shortfall, in this case for vertebrates, prevents accurate and rapid identification and monitoring of emerging pathogens and their reservoir host(s) and precludes extended investigation of ecological, evolutionary, and environmental associations that lead to human infection or spillover. Natural history museum biorepositories form the backbone of a critically needed, decentralized, global network for zoonotic pathogen surveillance, yet this infrastructure remains marginally developed, underutilized, underfunded, and disconnected from public health initiatives. Proactive detection and mitigation for emerging infectious diseases (EIDs) requires expanded biodiversity infrastructure and training (particularly in biodiverse and lower income countries) and new communication pipelines that connect biorepositories and biomedical communities. To this end, we highlight a novel adaptation of Project ECHO’s virtual community of practice model: Museums and Emerging Pathogens in the Americas (MEPA). MEPA is a virtual network aimed at fostering communication, coordination, and collaborative problem-solving among pathogen researchers, public health officials, and biorepositories in the Americas. MEPA now acts as a model of effective international, interdisciplinary collaboration that can and should be replicated in other biodiversity hotspots. We encourage deposition of wildlife specimens and associated data with public biorepositories, regardless of original collection purpose, and urge biorepositories to embrace new specimen sources, types, and uses to maximize strategic growth and utility for EID research. Taxonomically, geographically, and temporally deep biorepository archives serve as the foundation of a proactive and increasingly predictive approach to zoonotic spillover, risk assessment, and threat mitigation

    Role of targeted therapies in rheumatic patients on COVID-19 outcomes: Results from the COVIDSER study

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    Objectives To analyse the effect of targeted therapies, either biological (b) disease-modifying antirheumatic drugs (DMARDs), targeted synthetic (ts) DMARDs and other factors (demographics, comorbidities or COVID-19 symptoms) on the risk of COVID-19 related hospitalisation in patients with inflammatory rheumatic diseases. Methods The COVIDSER study is an observational cohort including 7782 patients with inflammatory rheumatic diseases. Multivariable logistic regression was used to estimate ORs and 95% CIs of hospitalisation. Antirheumatic medication taken immediately prior to infection, demographic characteristics, rheumatic disease diagnosis, comorbidities and COVID-19 symptoms were analysed. Results A total of 426 cases of symptomatic COVID-19 from 1 March 2020 to 13 April 2021 were included in the analyses: 106 (24.9%) were hospitalised and 19 (4.4%) died. In multivariate-adjusted models, bDMARDs and tsDMARDs in combination were not associated with hospitalisation compared with conventional synthetic DMARDs (OR 0.55, 95% CI 0.24 to 1.25 of b/tsDMARDs, p=0.15). Tumour necrosis factor inhibitors (TNF-i) were associated with a reduced likelihood of hospitalisation (OR 0.32, 95% CI 0.12 to 0.82, p=0.018), whereas rituximab showed a tendency to an increased risk of hospitalisation (OR 4.85, 95% CI 0.86 to 27.2). Glucocorticoid use was not associated with hospitalisation (OR 1.69, 95% CI 0.81 to 3.55). A mix of sociodemographic factors, comorbidities and COVID-19 symptoms contribute to patients'' hospitalisation. Conclusions The use of targeted therapies as a group is not associated with COVID-19 severity, except for rituximab, which shows a trend towards an increased risk of hospitalisation, while TNF-i was associated with decreased odds of hospitalisation in patients with rheumatic disease. Other factors like age, male gender, comorbidities and COVID-19 symptoms do play a role.
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