364 research outputs found
A networked voting rule for democratic representation
We introduce a general framework for exploring the problem of selecting a
committee of representatives with the aim of studying a networked voting rule
based on a decentralized large-scale platform, which can assure a strong
accountability of the elected. The results of our simulations suggest that this
algorithm-based approach is able to obtain a high representativeness for
relatively small committees, performing even better than a classical voting
rule based on a closed list of candidates. We show that a general relation
between committee size and representatives exists in the form of an inverse
square root law and that the normalized committee size approximately scales
with the inverse of the community size, allowing the scalability to very large
populations. These findings are not strongly influenced by the different
networks used to describe the individuals interactions, except for the presence
of few individuals with very high connectivity which can have a marginally
negative effect in the committee selection process.Comment: Submitted for publicatio
Robustness of cultural communities in an open-ended Axelrod's model
We consider an open-ended set of cultural features in the Axelrod's model of
cultural dissemination. By replacing the features in which a high degree of
consensus is achieved by new ones, we address here an essential ingredient of
societies: the evolution of topics as a result of social dynamics and debate.
Our results show that, once cultural clusters have been formed, the
introduction of new topics into the social debate has little effect on them,
but it does have a significant influence on the cultural overlap. Along with
the Monte-Carlo simulations, we derive and numerically solve an equation for
the stationary cultural overlap based on a mean-field approach. Although the
mean-field analysis reproduces qualitatively the characteristic phase
transition of the Axelrod's model, it underestimates the cultural overlap,
highlighting the role of the local interactions in the Axelrod's dynamics, as
well as the correlations between the different cultural features.Comment: 6 pages and 5 figure
Analysis of a networked social algorithm for collective selection of a committee of representatives
A recent work by Hern\'andez et al. introduced a networked voting rule
supported by a trust-based social network, where indications of possible
representatives were based on individuals opinions. Individual contributions
went beyond a simple vote-counting and were based on proxy voting. These
mechanisms generated a high level of representativeness of the selected
committee, weakening the possibility of relations of patronage. By
incorporating the integrity of individuals and its perception, here we address
the question of the trustability of the resulting committee. Our results show
that this voting rule provides high representativeness for small committees
with a high level of integrity. Furthermore, the voting system displays
robustness to a strategic and untruthful application of the voting algorithm.Comment: 7 pages and 8 figures. Submitted for publication. arXiv admin note:
text overlap with arXiv:1801.0539
Crystallization and preliminary X-ray diffraction analysis of levansucrase (LsdA) from Gluconacetobacter diazotrophicus SRT4
The endophytic bacterium Gluconacetobacter diazotrophicus SRT4 secretes a constitutively expressed levansucrase (LsdA; EC 2.4.1.10), which converts sucrose to fructo-oligosaccharides and levan. Fully active LsdA was purified to high homogeneity by non-denaturing reversed-phase HPLC and was crystallized at room temperature by the hanging-drop vapour-diffusion method using ammonium sulfate and ethanol as precipitants. The crystals are extremely sensitive, but native data have been collected to 2.5 A under cryogenic conditions using synchrotron radiation. LsdA crystals belong to the orthorhombic space group P22(1)2(1) or P2(1)2(1)2, with unit-cell parameters a = 53.80, b = 119.39, c = 215.10 A
Análisis del mensaje en el cortometraje animado Mi Pequeña Cabrita, 2020
Esta investigación aborda sobre la concientización a través del cortometraje animado “Mi
Pequeña Cabrita, 2020”, y es que debido a las situaciones que se viven día a día, estos proyectos
audiovisuales pueden captar la atención del espectador de manera más entretenida y nostálgica.
El objetivo principal de la investigación es analizar el mensaje en el cortometraje animado “Mi
Pequeña Cabrita, 2020”, en ella se obtienen diferentes fuentes bibliográficas que explican y dan
a conocer sus puntos de vista referente a la unidad temática y categorías. Se planteó una
metodología con enfoque cualitativo y así también se realizaron entrevistas a especialistas en
audiovisuales y psicólogos para estudiar el comportamiento de estos personajes dentro de la
trama. De acuerdo con el análisis realizado se concluye que el cortometraje es el medio que más
se consume por el público, dejando así un mensaje de enseñanza y marcado la realidad que se
vive en nuestro entorno
Copper oxide nanoparticles biosynthetized improve germination and bioactive compounds in wheat sprouts
Metal nanoparticles have many positive effects in improving crop production and productivity and allow for increased germination and rapid crop establishment under field conditions. The metallic nanoparticles applied in this study were copper oxide nanoparticles (CuONPs) biosynthesized using orange peel (Citrus X sinensis) as a reducing agent to avoid or reduce toxicity in wheat seeds and sprouts. This study determined the effect of CuONPs on germination, radicle and plumule length, as well as the production of phytochemical compounds in wheat sprouts. The seeds were treated with suspensions of CuONPs at the following concentrations: 0, 0.5, 1, 2, 4 and 6 mg mL-1. The results indicate that the use of low doses of CuONPs (0.5 mg mL-1), improved germination, vigor, plumule and radicle length, in addition to increasing the biosynthesis of phytochemical compounds in wheat shoots. A high concentration of CuONPs (6 mg mL-1) causes inhibitory effects due to Cu accumulation and phytotoxicity in plant tissue. The use of CuONPs for green synthesis is a viable alternative to obtain beneficial effects in germination and seedling development, as well as greater secondary metabolite production
Contamination of corn growing areas due to intensive fertilization in the High Plane of Mexico
The agricultural activities practice often demands an intensive application of fertilizers. Phosphate and nitrogen fertilizers are the most employed in the corn growing areas of the central Mexico highlands. The first ones presents an uranium content ranging from 50 to 200 mg · kg−1 depending on the origin of the phosphate rock used in its production. It is crucial to analyze the rainwater, surface water, soil water at several depths, groundwater and soil to determine the simultaneous behavior of phosphate, nitrate and uranium, and their leaching in a specific agricultural land. Uranium concentration, 16 mg · kg−1, in the soil water was higher than that in the surface water and groundwater. The different concentrations are due to an unequal uranium distribution in the environment. The phosphate concentration, 37.4 mg · kg−1, diminished throughout the profile of the soil due to a sorption–precipitation process. The nitrates were leached toward groundwater after the application of fertilizers, but the nitrate concentration in it did not exceed the limit for drinking wáter
MGLENS: Modified gravity weak lensing simulations for emulation-based cosmological inference
We present MGLENS, a large series of modified gravity lensing simulations tailored for cosmic shear data analyses and forecasts in which cosmological and modified gravity parameters are varied simultaneously. Based on the FORGE and BRIDGE N-body simulation suites presented in companion papers, we construct 100 × 5000 deg2 of mock Stage-IV lensing data from two 4D Latin hypercubes that sample cosmological and gravitational parameters in f(R) and nDGP gravity, respectively. These are then used to validate our inference analysis pipeline based on the lensing power spectrum, exploiting our implementation of these modified gravity models within the COSMOSIS cosmological inference package. Sampling this new likelihood, we find that cosmic shear can achieve 95 per cent CL constraints on the modified gravity parameters of log10[fR0 ] 0.09, after marginalizing over intrinsic alignments of galaxies and including scales up to = 5000. We also investigate the impact of photometric uncertainty, scale cuts, and covariance matrices. We finally explore the consequences of analysing MGLENS data with the wrong gravity model, and report catastrophic biases for a number of possible scenarios. The Stage-IV MGLENS simulations,the FORGE and BRIDGE emulators and the COSMOSIS interface modules will be made publicly available upon journal acceptance
Ventilatory Thresholds Estimation Based on ECG-derived Respiratory Rate
The purpose of this work is to study the feasibility of estimating the first and second ventilatory thresholds (VT1 and VT2, respectively) by using electrocardiogram (ECG)-derived respiratory rate during exercise testing. The ECGs of 25 healthy volunteers during cycle ergometer exercise test with increasing workload were analyzed. Time-varying respiratory rate was estimated from an ECG-derived respiration signal obtained from QRS slopes' range method. VT1 and VT2 were estimated as the points of maximum change in respiratory rate slope using polynomial spline smoothing. Reference VT1 and VT2 were determined from the ventilatory equivalents of O2 and CO2. Estimation errors (in watts) of -13.96 (54.84) W for VT1 and -8.06 (39.63) Wfor VT2 (median (interquartile range)) were obtained, suggesting that ventilatory thresholds can be estimated from solely the ECG signal
CM-proteins and thionins in cereals: characterization and cloning of cDNA
The study of cereal albumins and globulins has lagged somewhat behind that of the prolamins, which nave been considered as typical reserve proteins. However, these protein fractions merit closer attention for a variety of reasons. The main individual albumins and globulins are at least as abundant as many prolamin components, and it can be speculated that in a tissue, such as the cereal endosperm, which is completely consumed during germination, al 1 abundant proteins may play a reserve role. They have also a higher proportion of essential amino acids, as compared with the prolamins, and thus may be releyant in connec^ tion with the genetic alteration of overall grain composition. Finally, a high proportion of the main components of these protein fractions have inhibitory and even toxic properties, which may be related to the protection of this tissue during development and germination, and might influence the nutritional valué of the cereal products. We report here the characterization in barley of cDNA clones encoding two major groups of proteins: the CM-proteins, a family that inciudes inhibitors of trypsin and a-amylase, and the thionins, a group of high-lysine toxic polypeptides
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