Soil quality and farm profitability: A win-win situation

Farmers are more likely to adopt and adapt improved soil management strategies if their efforts lead to an immediate economic benefit. An encouraging policy environment, as well as farmer organisation also stimulates the adoption of conservation practices. In Mexico, farmers are adapting their maize-based cropping systems to conservation agriculture, leading to both higher profits and soil conservation

Long-distance radiative corrections to the di-pion tau lepton decay

We evaluate the model-dependent piece of O(alpha) long-distance radiative corrections to tau^- \to \pi^- \pi^0\nu_{\tau} decays by using a meson dominance model. We find that these corrections to the di-pion invariant mass spectrum are smaller than in previous calculations based on chiral perturbation theory. The corresponding correction to the photon inclusive rate is tiny (-0.15%) but it can be of relevance when new measurements reach better precision.Comment: 4 pages, 2 figures. An estimate of the shift produced in the evaluation of the h.v.p. contribution to the muon anomalous magnetic moment is added. Version to appear in Phys. Rev.

Density-Temperature-Softness Scaling of the Dynamics of Glass-forming Soft-sphere Liquids

The principle of dynamic equivalence between soft-sphere and hard-sphere fluids [Phys. Rev. E \textbf{68}, 011405 (2003)] is employed to describe the interplay of the effects of varying the density n, the temperature T, and the softness (characterized by a softness parameter {\nu}^{-1}) on the dynamics of glass-forming soft-sphere liquids in terms of simple scaling rules. The main prediction is that the dynamic parameters of these systems, such as the {\alpha}-relaxation time and the long-time self-diffusion coefficient, depend on n, T, and {\nu} only through the reduced density n^\ast \equiv n{\sigma}^{3}_{HS}(T, {\nu}),where the effective hard-sphere diameter {\sigma}_{HS}(T, {\nu}) is determined, for example, by the Andersen-Weeks-Chandler condition for soft-sphere-hard-sphere structural equivalence. A number of scaling properties observed in recent simulations involving glass-forming fluids with repulsive short range interactions are found to be a direct manifestation of this general dynamic equivalence principle. The self-consistent generalized Langevin equation (SCGLE) theory of colloid dynamics is shown to accurately capture these scaling rule

Filogenia molecular y estimación del tiempo de divergencia en pennatuláceos (Cnidaria: Octocorallia: Pennatulacea)

Pennatulaceans are an important component of benthic marine communities usually related to soft bottoms. Despite their important ecological role, as yet little is known about their origin and divergence time. The first attempts to establish phylogenetic relationships among genera date from the early 20th century, when only morphological characters were available. In the last decade, phylogenetic analyses based on mitochondrial DNA sequences from a selected number of species have proposed a different hypothetical ancestor for this group, but their intergeneric relationships remain obscure. The present study is based on a combination of mitochondrial and nuclear markers (mtMutS, Cox1 and 28S rDNA), adding new molecular information about the phylogenetic relationships among the pennatulacean genera, including 38 new sequences belonging to 13 different species. Some of the phylogenetic relationships inferred in the present study question the current classification of sea pens based on morphology (at different taxonomic levels), clearly indicating that the two main groups Sessiliflorae and Subselliflorae, some of their main families (e.g. Pennatulidae, Umbellulidae, Virgulariidae) and some genera (e.g. Umbellula, Veretillum) are non-monophyletic. In addition, the veretillids, traditionally considered the most primitive pennatulaceans, are not shown as the earliest-diverging taxon. Moreover, an analysis of divergence time performed here suggested that the origin of the pennatulaceans dates from the Lower Cretaceous (Berriasian, ~144 Ma), in agreement with their sparsely known fossil record, while the initial divergence of most extant genera occurred in the Oligocene and Miocene times.Los pennatuláceos son un componente importante de las comunidades bentónicas marinas generalmente relacionados con fondos blandos. A pesar de su importante papel ecológico, la información sobre su origen y tiempo de divergencia es aún escasa. Los primeros intentos de establecer relaciones filogenéticas entre géneros datan de principios del siglo XX, cuando sólo estaban disponibles caracteres morfológicos. En la última década, los análisis filogenéticos basados en secuencias de ADN mitocondrial procedentes de un limitado número de especies han propuesto un ancestro hipotético diferente para este grupo, pero sus relaciones intergenéricas permanecen oscuras. La presente investigación está basada en una combinación de marcadores mitocondriales y nuclear (mtMutS, Cox1 y ADNr 28S), aportando nueva información molecular sobre las relaciones filogenéticas entre los géneros de pennatuláceos, incluyendo 38 nuevas secuencias pertenecientes a 13 especies. Algunas de las relaciones filogenéticas inferidas en el presente estudio cuestionan la actual clasificación de las plumas de mar basada en la morfología (a diferentes niveles taxonómicos), indicando claramente que los dos grupos principales Sessiliflorae y Subselliflorae, algunas de sus principales familias (por ejemplo Pennatulidae, Umbellulidae, Virgulariidae) y algunos géneros (por ejemplo Umbellula, Veretillum) son no-monofiléticos. Asimismo, los veretílidos, tradicionalmente considerados los pennatuláceos más primitivos, no se muestran como el taxón divergente más antiguo. Además, un análisis del tiempo de divergencia realizado en este trabajo sugirió que el origen de los pennatuláceos data del Cretácico Inferior (Berriasiano, ~ 144 Ma), de acuerdo con su escasamente conocido registro fósil, mientras que la divergencia inicial de la mayoría de los géneros existentes ocurrió en tiempos del Oligoceno y Mioceno

A Study of Soil Microstructure Using Bender Element Tests

An application of bender elements to measure the effect of soil microstructure in shear wave velocity is presented. A testing program was carried out on Mexico City sediments using a triaxial cell fitted with bender elements. Shear wave velocities were measured during isotropic consolidation and during failure. From the results of these tests simple expressions were obtained which describe the variations of shear wave velocity with the current state in terms of the effective stress and axial deformation

Short-term demand forecast using a bank of neural network models trained using genetic algorithms for the optimal management of drinking water networks

Efficient management of a drinking water network reduces the economic costs related to water production and transport (pumping). Model predictive control (MPC) is nowadays a quite well-accepted approach for the efficient management of the water networks because it allows formulating the control problem in terms of the optimization of the economic costs. Therefore, short-term forecasts are a key issue in the performance of MPC applied to water distribution networks. However, the short-term horizon demand forecast in a horizon of 24 hours in an hourly based scale presents some challenges as the water consumption can change from one day to another, according to certain patterns of behavior (e.g., holidays and business days). This paper focuses on the problem of forecasting water demand for the next 24 hours. In this work, we propose to use a bank of models instead of a single model. Each model is designed for forecasting one particular hour. Hourly models use artificial neural networks. The architecture design and the training process are performed using genetic algorithms. The proposed approach is assessed using demand data from the Barcelona water network.Peer ReviewedPostprint (author's final draft

Combined Holt-Winters and GA trained ANN approach for sensor validation and reconstruction: application to water demand flowmeters

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksThis paper proposes a Double Seasonal Holt-Winters (DSHW) forecasting model with an auxiliary Artificial Neural Network (ANN) trained with a Genetic Algorithm (GA) to model the DSHW residuals. ANN complements and improves the DSHW prediction. The proposed model also includes an on-line validation and reconstruction mechanism useful to detect and correct missing and erroneous data. This mechanism also impacts improving the DSHW prediction accuracy and precision. The proposed model and validation mechanism are applied to predict the time series generated by two monitored flowmeters of two sectors of Barcelona's drinking water network (DWN). The accuracy and precision improvement of the proposed method with respect to standard DSHW and ARIMA approaches is provided.Accepted versio

Dissecting the secondary structure of the circular RNA of a nuclear viroid in vivo: A "naked" rod-like conformation similar but not identical to that observed in vitro

[EN] With a minimal (250-400nt), non-protein-coding, circular RNA genome, viroids rely on sequence/structural motifs for replication and colonization of their host plants. These motifs are embedded in a compact secondary structure whose elucidation is crucial to understand how they function. Viroid RNA structure has been tackled in silico with algorithms searching for the conformation of minimal free energy, and in vitro by probing in solution with RNases, dimethyl sulphate and bisulphite, and with selective 2-hydroxyl acylation analyzed by primer extension (SHAPE), which interrogates the RNA backbone at single-nucleotide resolution. However, in vivo approaches at that resolution have not been assayed. Here, after confirming by 3 termodynamics-based predictions and by in vitro SHAPE that the secondary structure adopted by the infectious monomeric circular (+) RNA of potato spindle tuber viroid (PSTVd) is a rod-like conformation with double-stranded segments flanked by loops, we have probed it in vivo with a SHAPE modification. We provide direct evidence that a similar, but not identical, rod-like conformation exists in PSTVd-infected leaves of Nicotiana benthamiana, verifying the long-standing view that this RNA accumulates in planta as a naked form rather than tightly associated with protecting host proteins. However, certain nucleotides of the central conserved region, including some of the loop E involved in key functions such as replication, are more SHAPE-reactive in vitro than in vivo. This difference is most likely due to interactions with proteins mediating some of these functions, or to structural changes promoted by other factors of the in vivo habitat.This work was supported by grant BFU2014-56812-P (to R.F.) from the Ministerio de Economia y Competitividad of Spain. A.L.C. was the recipient of a predoctoral fellowship from the same organism.López-Carrasco, MA.; Flores Pedauye, R. (2017). Dissecting the secondary structure of the circular RNA of a nuclear viroid in vivo: A "naked" rod-like conformation similar but not identical to that observed in vitro. RNA Biology. 14(8):1046-1054. https://doi.org/10.1080/15476286.2016.1223005S1046105414

Multisensor fusion of environment measures using Bayesian Networks

Autonomous mobile robots usually require a large number of sensor types and sensing modules. There are different sensors, some complementary and some redundant. Integrating the sensor measures implies several multisensor fusion techniques. These techniques can be classified in two groups: low level fusion, used for direct integration of sensory data; and high level fusion, which is used for indirect integration of sensory data. We have developed a system to integrate indirect measures of different sensors. This system allows us to use any type of sensor which provides measures of the robot's environment It Is designed as a Belief Bayesian Network. The method needs that the user creates a low level fusion module and an interface between that module and our fusion system