2,926 research outputs found
Field Representations of Vector Supersymmetry
We study some field representations of vector supersymmetry with superspin
Y=0 and Y=1/2 and nonvanishing central charges. For Y=0, we present two
multiplets composed of four spinor fields, two even and two odd, and we provide
a free action for them. The main differences between these two multiplets are
the way the central charge operators act and the compatibility with the
Majorana reality condition on the spinors. One of the two is related to a
previously studied spinning particle model. For Y=1/2, we present a multiplet
composed of one even scalar, one odd vector and one even selfdual two-form,
which is a truncation of a known representation of the tensor supersymmetry
algebra in Euclidean spacetime. We discuss its rotation to Minkowski spacetime
and provide a set of dynamical equations for it, which are however not derived
from a Lagrangian. We develop a superspace formalism for vector supersymmetry
with central charges and we derive our multiplets by superspace techniques.
Finally, we discuss some representations with vanishing central charges.Comment: 37 page
Functional Approach to Quantum Decoherence and the Classical Final Limit
For a wide set of quantum systems it is demonstrated that the quantum regime
can be considered as the transient phase while the final classical statistical
regime is a permanent state. A basis where exact matrix decoherence appears for
these final states is found. The relation with the decoherence of histories
formalism is studied. A set of final intrinsically consistent histories is
found.Comment: 20 pages. Phys. Rev A in press 200
Cuantificacion de la significacion agregada en procesos de auditorias de estados financieros
El trabajo presenta una propuesta metodológica en relación a la determinación del nivel de significación global o agregado a ser calculado en la etapa de planificación de una auditorÃa de estados financieros.La referida propuesta se sustenta en la posibilidad que tiene el auditor, una vez identificados los usuarios crÃticos de la información contenida en los estados financieros y as decisiones que toman los mismos en base a tal información, de construir un conjunto de elementos que actúen como facilitadores de decisiones determinando, a su vez, los valores que provocarÃan cambios en las decisiones de los usuarios y, a partir de los mismos, reproducir las cifras de los estados financieros que provocarÃan tales medidas, determinando de este modo el nivel de significación.La propuesta metodológica se ajusta plenamente al concepto de significación previsto en los principales ordenamientos contables a nivel nacional e internacional.Palabras claves: Significación, Materialidad, AuditorÃa de Estados Financieros, Riesgo de AuditorÃa, Planificación de la AuditorÃa
Emergent Properties of Tumor Microenvironment in a Real-life Model of Multicell Tumor Spheroids
Multicellular tumor spheroids are an important {\it in vitro} model of the
pre-vascular phase of solid tumors, for sizes well below the diagnostic limit:
therefore a biophysical model of spheroids has the ability to shed light on the
internal workings and organization of tumors at a critical phase of their
development. To this end, we have developed a computer program that integrates
the behavior of individual cells and their interactions with other cells and
the surrounding environment. It is based on a quantitative description of
metabolism, growth, proliferation and death of single tumor cells, and on
equations that model biochemical and mechanical cell-cell and cell-environment
interactions. The program reproduces existing experimental data on spheroids,
and yields unique views of their microenvironment. Simulations show complex
internal flows and motions of nutrients, metabolites and cells, that are
otherwise unobservable with current experimental techniques, and give novel
clues on tumor development and strong hints for future therapies.Comment: 20 pages, 10 figures. Accepted for publication in PLOS One. The
published version contains links to a supplementary text and three video
file
Experimental realisation of Shor's quantum factoring algorithm using qubit recycling
Quantum computational algorithms exploit quantum mechanics to solve problems
exponentially faster than the best classical algorithms. Shor's quantum
algorithm for fast number factoring is a key example and the prime motivator in
the international effort to realise a quantum computer. However, due to the
substantial resource requirement, to date, there have been only four
small-scale demonstrations. Here we address this resource demand and
demonstrate a scalable version of Shor's algorithm in which the n qubit control
register is replaced by a single qubit that is recycled n times: the total
number of qubits is one third of that required in the standard protocol.
Encoding the work register in higher-dimensional states, we implement a
two-photon compiled algorithm to factor N=21. The algorithmic output is
distinguishable from noise, in contrast to previous demonstrations. These
results point to larger-scale implementations of Shor's algorithm by harnessing
scalable resource reductions applicable to all physical architectures.Comment: 7 pages, 3 figure
Sojización y productividad de los suelos
Fil: Alvarez, Roberto. Universidad de Buenos Aires. Facultad de AgronomÃa. Buenos Aires, Argentina.Fil: Berhongaray, Gonzalo. Universidad de Buenos Aires. Facultad de AgronomÃa. Buenos Aires, Argentina.Fil: Paepe, Josefina Luisa de. Universidad de Buenos Aires. Facultad de AgronomÃa. Buenos Aires, Argentina.Fil: Mendoza, MarÃa R. Universidad de Buenos Aires. Facultad de AgronomÃa. Buenos Aires, Argentina.Fil: Steinbach, Haydée Sara. Universidad de Buenos Aires. Facultad de AgronomÃa. Buenos Aires, Argentina.Fil: Caride, Constanza. Universidad de Buenos Aires. Facultad de AgronomÃa. Buenos Aires, Argentina.Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de AgronomÃa. Buenos Aires, Argentina.Fil: Alvarez, Carina Rosa. Universidad de Buenos Aires. Facultad de AgronomÃa. Buenos Aires, Argentina.La producción agropecuaria argentina ha sido escenario de grandes y continuas transformaciones en las últimas décadas. La tradicional ‘rotación agrÃcola-ganadera’ que se utilizaba hasta la década del 60, que alternaba un perÃodo agrÃcola con cultivos de granos y otro de pasturas para alimentación del ganado, se reemplazó progresivamente por planteos de agricultura continua. Durante el perÃodo de pastura se buscaba recuperar la fertilidad del suelo perdida en la fase agrÃcola, logrando pequeños aumentos de los contenidos de materia orgánica y nutrientes. Paralelamente al avance de la agricultura, a mediados de la década del 70 irrumpe en escena el cultivo de soja, que se difundió exponencialmente a partir de entonces y generó el fenómeno conocido como sojización (figura 2A).\nEl avance de la soja se debió a numerosos factores como bajos costos de producción, precios favorables, gran adaptabilidad del cultivo a distintas condiciones ambientales, baja necesidad de fertilizantes, adopción de la siembra directa de los cultivos sin necesidad de labrar el suelo previamente y posibilidad de hacer dos cultivos por año en lugar de solo uno cultivando la secuencia trigo-soja, en la cual el trigo se cultiva en invierno y la soja inmediatamente a continuación de la cosecha del trigo, en verano. Otro elemento clave que contribuyó al avance del cultivo de soja fue la introducción de cultivares transgénicos con resistencia a herbicidas de acción total (glifosato).\nA nivel de toda la región pampeana el proceso de sojización no produjo una reducción importante de la superficie destinada a los cultivos tradicionales como trigo, maÃz y girasol, sino que generó el reemplazo en las rotaciones de las pasturas por agricultura con soja y la expansión de la frontera agrÃcola hacia regiones anteriormente no cultivadas.il., tbls., grafs., fot., mapasEste artÃculo habÃa sido publicado anteriormente en Ciencia Hoy volumen 24 número 142 (febrero-marzo 2015
Reverse Engineering Gene Networks with ANN: Variability in Network Inference Algorithms
Motivation :Reconstructing the topology of a gene regulatory network is one
of the key tasks in systems biology. Despite of the wide variety of proposed
methods, very little work has been dedicated to the assessment of their
stability properties. Here we present a methodical comparison of the
performance of a novel method (RegnANN) for gene network inference based on
multilayer perceptrons with three reference algorithms (ARACNE, CLR, KELLER),
focussing our analysis on the prediction variability induced by both the
network intrinsic structure and the available data.
Results: The extensive evaluation on both synthetic data and a selection of
gene modules of "Escherichia coli" indicates that all the algorithms suffer of
instability and variability issues with regards to the reconstruction of the
topology of the network. This instability makes objectively very hard the task
of establishing which method performs best. Nevertheless, RegnANN shows MCC
scores that compare very favorably with all the other inference methods tested.
Availability: The software for the RegnANN inference algorithm is distributed
under GPL3 and it is available at the corresponding author home page
(http://mpba.fbk.eu/grimaldi/regnann-supmat
Bacterial Killing Via A Type Iv Secretion System.
Type IV secretion systems (T4SSs) are multiprotein complexes that transport effector proteins and protein-DNA complexes through bacterial membranes to the extracellular milieu or directly into the cytoplasm of other cells. Many bacteria of the family Xanthomonadaceae, which occupy diverse environmental niches, carry a T4SS with unknown function but with several characteristics that distinguishes it from other T4SSs. Here we show that the Xanthomonas citri T4SS provides these cells the capacity to kill other Gram-negative bacterial species in a contact-dependent manner. The secretion of one type IV bacterial effector protein is shown to require a conserved C-terminal domain and its bacteriolytic activity is neutralized by a cognate immunity protein whose 3D structure is similar to peptidoglycan hydrolase inhibitors. This is the first demonstration of the involvement of a T4SS in bacterial killing and points to this special class of T4SS as a mediator of both antagonistic and cooperative interbacterial interactions.6645
Innovation, R&D Investment and Productivity in Chile
This paper uses two sources of information and different methodologies to analyze the causal effect of product and process innovation on productivity in the Chilean manufacturing industry during the past decade. In general, the evidence suggests there is not a contemporaneous effect of product innovation on productivity, but there is a positive effect of process innovation. This notsignificant effect of product innovation contrasts with evidence of studies for other countries. However, the results show the presence of lagged effects product innovation on productivity two years after innovation. Compared with the case of developed countries, this evidence might be consistent with a very slow process of learning by doing on the part of Chilean firms with regard to mastering new technologies. These slow and frequently uncertain gains in productivity could help to explain the low levels of investment in research and development (R&D) activities by Chilean firms
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