802 research outputs found
A Personal Leadership Statement
This document depicts personal descriptions of leadership in an academic environmentLeadership profileIntroductionAssumptionsImplications for the futureConclusionsReferencesPregradoLicenciado(a) en Lenguas Extranjeras con Énfasis en Inglé
CP, T and CPT versus temporal asymmetries for entangled states of the B-d-system
The observables used in the K-system to characterize T and CPT violation are no longer useful for the Bd-system, since the width difference between the physical states is vanishingly small. We show that only Im(epsilon) and Re(delta) can survive if Delta Gamma=0, and build alternative CP-odd, CPT-odd, T-odd and temporal asymmetries for the (B_CP -> B0, B0bar) transitions. These quantities enable us to test T and CPT invariances of the effective Hamiltonian for the B-system. The method needs the CP eigenstates B_CP, which can be tagged unambiguously to order lambda^3 from the entangled states of a B-factory
Real time updating of the flood frequency distribution through data assimilation
We explore the memory properties of catchments for predicting the likelihood of floods basing on
observations of average flows in pre-flood seasons. Our approach assumes that flood formation is
driven by the superimposition of short and long term perturbations. The former is given by the short
term meteorological forcing leading to infiltration and/or saturation excess, while the latter is originated
15 by higher-than-usual storage in the catchment. To exploit the above sensitivity to long term
perturbations a Meta-Gaussian model is implemented for updating a season in advance the flood
frequency distribution, through a data assimilation approach. Accordingly, the peak flow in the flood
season is predicted by exploiting its dependence on the average flow in the antecedent seasons. We
focus on the Po River at Pontelagoscuro and the Danube river at Bratislava. We found that the shape of
20 the flood frequency distribution is significantly impacted by higher-than-usual flows occurred up to
several months earlier. The proposed technique may allow one to reduce the uncertainty associated to
the estimation of flood frequenc
Long term prediction of flood occurrence
How long a river remembers its past is still an open question. Perturbations occurring in large catchments may impact the flow regime for several weeks and months, therefore providing a physical explanation for the occasional tendency of floods to occur in clusters. The research question explored in this paper may be stated as follows: can higher than usual river discharges in the low flow season be associated to a higher probability of floods in the subsequent high flow season? The physical explanation for such association may be related to the presence of higher soil moisture storage at the beginning of the high flow season, which may induce lower infiltration rates and therefore higher river runoff. Another possible explanation is persistence of climate, due to presence of long-term properties in atmospheric circulation. We focus on the Po River at Pontelagoscuro, whose catchment area amounts to 71 000 km2. We look at the stochastic connection between average river flows in the pre-flood season and the peak flows in the flood season by using a bivariate probability distribution. We found that the shape of the flood frequency distribution is significantly impacted by the river flow regime in the low flow season. The proposed technique, which can be classified as a data assimilation approach, may allow one to reduce the uncertainty associated to the estimation of the flood probability
Conocimientos puestos en juego por futuros profesores de matemáticas cuando justifican la selección de tareas
En algunos planes de formación de profesores, el profesor aprende a manejar herramientas conceptuales y metodológicas para elaborar propuestas docentes. En este artículo, identificamos los tres tipos de conocimiento que los futuros profesores que participaron en un plan de formación de ese tipo utilizaron cuando justificaron su propuesta docente: uno relacionado con las herramientas, otro con elementos transversales del plan de formación y un tercer tipo de conocimiento ajeno al plan de formación. Constatamos que el conocimiento relacionado con las herramientas es dominante, se entremezcla con los otros dos tipos de conocimiento y se enuncia de forma ajena a la propia matemática
Argumentos que utilizan los futuros profesores cuando seleccionan tareas matemáticas
En algunos planes de formación de profesores de matemáticas se proporciona al profesor herramientas conceptuales y metodológicas, que llamaremos organizadores del currículo, para que analice y seleccione tareas matemáticas. En este artículo, analizamos los argumentos que emplean futuros profesores en un plan de formación de ese tipo cuando seleccionan tareas. Encontramos que sus argumentos hacen referencia a tres tipos de conocimiento: uno directamente relacionado con los organizadores, otro relacionado con elementos transversales incluidos en el plan de formación y un tercero ajeno al plan. Analizando esta clasificación, encontramos que hay un desarrollo muy desigual de los distintos organizadores, que los argumentos relacionados con los organizadores son dominantes pero se entremezclan con los demás y que, aún cuando se refieren a tareas matemáticas concretas, con frecuencia se enuncian en términos generales ajenos a la tarea analizada
Comparative Study of the Oxidative Degradation of Different 4-Aminobenzene Sulfonamides in Aqueous Solution by Sulfite Activation in the Presence of Fe(0), Fe(II), Fe(III) or Fe(VI)
This study is focused on advanced oxidation technologies (AOTs) using the combined
effect of Fe(0–VI)/sulfite systems, that produce mainly SO4 radicals, to remove di erent
4-aminobenzene sulfonamides (SAs), namely sulfamethazine, sulfadiazine, sulfamethizole, from
aqueous solutions. Results obtained showed that neither sulfite nor iron alone is able to degrade
SAs; however, the combined effect depends on the oxidation state of iron species whose effectiveness
to activate sulfite to promote the degradation of SAs increased following this order: Fe(III) < Fe(II)
< Fe(0) < Fe(VI). Using Fe(VI)/sulfite, the complete removal of SAs was obtained in 5 min largely
surpassing the effectiveness of the other three systems. The sulfonamides’ removal percentage was
markedly influenced by sulfite concentration and dissolved oxygen, which improved the generation
of oxidant radicals. Response surface methodology was applied, and a quadratic polynomial model
was obtained, which allowed us to determine the percentage of SAs degradation as a function of
both the iron species and sulfite concentrations. The study of the influence of the water matrix on
these AOTs revealed an inhibition of SAs’ removal percentage when using ground water. This is
probably due to the presence of different anions, such as HCO3
-, Cl-, and SO4
2- in relatively high
concentrations. According to the byproducts identified, the proposed degradation pathways include
hydroxylation, SO2 extrusion, and different bond-cleavage processes. Cytotoxicity of degradation
byproducts, using MTS assay with HEK 293 and J774 cell lines for the first time, did not show an
inhibition in cell proliferation, sustaining the safety of the process.This research was funded by both Ministry of Science and Innovation of Spain, grant number
CTQ2016-80978-C2-1-R, and CONACyT (Mexico), grant number 407494
Contagious statistical distributions: k-connections and applications in infectious disease environments.
Contagious statistical distributions are a valuable resource for managing contagion by
means of k–connected chains of distributions. Binomial, hypergeometric, Po´ lya, uniform distributions
with the same values for all parameters except sample size n are known to be
strongly associated. This paper describes how the relationship can be obtained via factorial
moments, simplifying the process by including novel elements. We describe the properties
of these distributions and provide examples of their real–world application, and then define
a chain of k–connected distributions, which generalises the relationship among samples of
any size for a given population and the Po´lya urn model
Photo-click chemistry to create nucleic acids dextran-based microarrays
The final publication is available at link.springer.com[EN] In the literature, there are reports of the utilization of various hydrogels to create generic platforms for protein microarray applications. Here, a novel strategy was developed to obtain high-performance microarrays. In it, a dextran hydrogel is used to covalently immobilize oligonucleotides and proteins. This method employs aqueous solutions of dextran methacrylate (Dx-MA), which is a biocompatible photopolymerizable monomer. Capture probes are immobilized inside the hydrogel via a light-induced thiol-acrylate coupling reaction at the same time as the dextran polymer is formed. Hydrogel microarrays based on this technique were prepared on different surfaces, such as a Blu-ray Disk and polycarbonate or alkene-functionalized glass slides, and these systems showed high probe-loading capabilities and good biorecognition yields. This methodology presents advantages such as a low cost, a short analysis time, a low limit of detection, and multiplexing capabilities, among others. Confocal fluorescence microscopy analysis demonstrated that in these hydrogel-based microarrays, receptor immobilization and the biorecognition event occurred within the hydrogel and not merely on the surface.Funding from MINECO through the project BIHOLOG CTQ/2016/75749-R is acknowledged.Díaz-Betancor, Z.; Bañuls Polo, M.; Maquieira Catala, A. (2019). Photo-click chemistry to create nucleic acids dextran-based microarrays. Analytical and Bioanalytical Chemistry. 411(25):6745-6754. https://doi.org/10.1007/s00216-019-02050-3S6745675441125Heller MJ. DNA microarray technology: devices, systems, and applications. Annu Rev Biomed Eng. 2002;4:129–53. https://doi.org/10.1146/annurev.bioeng.4.020702.153438 .Sassolas A, Leca-Bouvier BD, Blum LJ. DNA biosensors and microarrays. 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