Extensive boiling as a precipitation mechanism for precious and base metal ores, Bienaventurada Mine, Huancavelica, Perú

The Bienaventurada mine operates a polymetallic Ag-Pb-Zn (Cu, Au) vein system of the low sulphidation epithermal type. Fluid inclusions, FI, are abundant in quartz, sphalerite and adularia. FI petrography demonstrates typical primary growth zoning which occurs frequently in crystalline quartz, and defines the most common primary FI. These are usually very small, but several types of primary, P, and secondary, S, FI Assemblages (FIAs) comprising FI of measurable size (3 to > 100 μm) can also be identified through careful petrographic work. The fluids are aqueous and undersaturated, and no evidence of CO2 was found; the degree of fill is usually high (~70-80 %) in the L-rich inclusions, but extremely low in V-rich inclusions. The measured microthermometric values are very consistent in the FIAs selected; they are for the most part roughly similar in the P and S assemblages: the median is typically ~258ºC for total homogenization temperatures, Th, and -1.5 ºC for ice melting temperatures, Tm (corresponding to 2.57 wt% NaCl eq). The widespread occurrence of L-rich and V-rich FI in the same FIA and the consistent Th values point to an extensive boiling system along the vein. In these conditions, Th equals T of trapping, and the ores are assumed to have been precipitated from an aqueous low salinity boiling fluid, of likely meteoric origin, at some 250-280º C, under ~500 m hydrostatic head.

Improved ore processing assessed by digital image análisis of the ores: a key to the sustainable development of the Iberian Pyrite Belt

Mining in the Iberian Pyrite Belt (IPB), the biggest VMS metallogenetic province known in the world to date, has to face a deep crisis in spite of the huge reserves still known after ≈5 000 years of production. This is due to several factors, as the difficult processing of complex Cu-Pb-Zn-Ag- Au ores, the exhaustion of the oxidation zone orebodies (the richest for gold, in gossan), the scarce demand for sulphuric acid in the world market, and harder environmental regulations. Of these factors, only the first and the last mentioned can be addressed by local ore geologists. A reactivation of mining can therefore only be achieved by an improved and more efficient ore processing, under the constraint of strict environmental controls. Digital image analysis of the ores, coupled to reflected light microscopy, provides a quantified and reliable mineralogical and textural characterization of the ores. The automation of the procedure for the first time furnishes the process engineers with real-time information, to improve the process and to preclude or control pollution; it can be applied to metallurgical tailings as well. This is shown by some examples of the IPB.

New data on the specular reflectance of ores (VNIR: 400 - 1000 nm) and their significance for ore microscopy

This work is part of the project CAMEVA for the development of an expert system aimed at the automatic identification of ores [1, 2]. It relies on the measure of their reflectance values, R, on digital images. Software for calibration, acquisition and analysis of the multispectral data was designed by AITEMIN [3]; the research was also assessed by H.J. Bernhardt and E. Pirard [1].

A fully automated system for multispectral ore microscopy

A joint research to develop an efficient method for automated identification and quantification of ores [1], based on Reflected Light Microscopy (RLM) in the VNIR realm (Fig. 1), provides an alternative to modern SEM based equipments used by geometallurgists, but for ~ 1/10th of the price.

Estudio de los sistemas constructivos y materiales refractarios empleados en los baños árabes de Toledo.

Realizadas dos extracciones de ladrillos de diferentes tipologías procedentes de dos baños árabes localizados en Toledo, me dispongo a llevar a cabo los análisis comparativos de cada muestra que nos permita indagar en los procesos constructivos a que fueron sometidos, para alcanzar las características físicas y químicas necesarias que le permitieron desarrollar su función sin sufrir deterioro alguno. La investigación ha de centrarse en las propiedades que se observan en cada uno de ellos, tanto ladrillos cerámicos como morteros recogidos en puntos diversos de cada construcción (junto a la caldera o lejana a ésta), para así permitir el estudio de su grado de refracción.

Geoprocesamiento como Herramienta de Cálculo y Comunicación de Afecciones por Obras Lineales: Líneas Eléctricas de Alta Tensión

Los proyectos de infraestructuras lineales son implantados en el territorio, y la información geográfica de estos proyectos tiene la capacidad de representar la forma, dimensiones y ubicación de estas infraestructuras, así como los límites de las diferentes propiedades que atraviesa. Esta información geográfica ayuda al entendimiento de la afección de la instalación sobre las diferentes propiedades inmuebles, y por otro lado permite cuantificar automáticamente, la magnitud de cada tipo de afección y así utilizarse como mecanismo de notificación formal a los propietarios de las parcelas afectadas. En este trabajo se presenta cómo se ha integrado en el flujo de trabajo de Red Eléctrica de España (REE), las tareas relacionadas con el cálculo de afecciones de las nuevas instalaciones de Alta Tensión, permitiendo visualizar los proyectos mediante: un visor WMS, un globo 3D mediante KML, o como un conjunto de reseñas gráficas de cada parcela. Estas soluciones han permitido optimizar los procesos de cálculo de afecciones y la generación de las Relaciones de Bienes y Derechos (RBD) afectados en distintos formatos: gráficos o alfanuméricos e interactivos 2D y 3D, multiplicándose las posibilidades de automatización y visualización, y produciendo un acercamiento entre el mundo real y el mundo virtual. Linear infrastructure projects are implemented in the territory, and geographic information of these projects has the ability to represent the shape, size and location of these infrastructures, and the limits of the different properties it crosses. This geographic information helps understanding the affection of the installation on different properties, and to automatically quantifies the magnitude of each type of affection and well used as a mechanism to formally notify owners of affected parcels. In this paper we present how the tasks related to the affection calculation of new high-voltage installations is integrated into the workflow of Red Eléctrica de España (REE), allowing to publish and then to see the projects over internet in a standardized way by: WMS viewer, a 3D globe using KML, or review a set of graphs of each parcel. These solutions have allowed us to optimize the processes of calculation of affection and the generation of the Assets and Rights (RBD) affected document across different formats or alphanumeric graphics and interactive 2D and 3D, multiplying the possibilities of automation and visualization, and producing an approach between the real and the virtual world.

Analysis of duplication in the Spanish durum wheat collection maintained in the CRF-INIA on the basis of agro-morphological traits and gliadin proteins

A total of 106 potential duplicate cases involved 277 accessions were detected on the basis of passport data in the durum wheat collection maintained in the CRF-INIA. Similarity between accessions was measured by agro-morphological traits. The 90% of the agro-morphological duplication were verified with gliadin proteins, allowing identification of similar material with greater refinement than agro-morphological data. However, the results indicated not to decide for rationalisation only on the basis of molecular data.

Analysis of duplication in the Spanish durum wheat collection maintained in the CRF-INIA on the basis of agro-morphological traits and gliadin proteins

A total of 106 potential duplicate cases involved 277 accessions were detected on the basis of passport data in the durum wheat collection maintained in the CRF-INIA. Similarity between accessions was measured by agro-morphological traits. The 90% of the agro-morphological duplication were verified with gliadin proteins, allowing identification of similar material with greater refinement than agro-morphological data. However, the results indicated not to decide for rationalisation only on the basis of molecular data

Combined use of gliadins and SSRs to analyse the genetic variability of the Spanish collection of cultivated diploid wheat (Triticum monococcum L. ssp. monococcum)

This work studied the combined use of gliadins and SSRs to analyse inter- and intra-accession variability of the Spanish collection of cultivated einkorn (Triticum monococcum L. ssp. monococcum) maintained at the CRF-INIA. In general, gliadin loci presented higher discrimination power than SSRs, reflecting the high variability of the gliadins. The loci on chromosome 6A were the most polymorphic with similar PIC values for both marker systems, showing that these markers are very useful for genetic variability studies in wheat. The gliadin results indicated that the Spanish einkorn collection possessed high genetic diversity, being the differentiation large between varieties and small within them. Some associations between gliadin alleles and geographical and agro-morphological data were found. Agro-morphological relations were also observed in the clusters of the SSRs dendrogram. A high concordance was found between gliadins and SSRs for genotype identification. In addition, both systems provide complementary information to resolve the different cases of intra-accession variability not detected at the agro-morphological level, and to identify separately all the genotypes analysed. The combined use of both genetic markers is an excellent tool for genetic resource evaluation in addition to agro-morphological evaluation.

Effects of N fertilisation, year and prolamin alleles on guten quality in durum wheat (Triticum turgidum L. ssp. turgidum) landraces from Spain

A subset of durum wheat Spanish landraces, previously evaluated for yield at low and high nitrogen (N) levels, was analysed for quality, protein content (P) and sodium dodecyl sulphate sedimentation (SDSS) test. The evaluation was carried out at the two N rates and in two years. The influence of prolamin alleles at the Glu-1, Glu-3, Glu-B2 and Gli-1 loci on quality parameters was also studied. The non significant Variety-by-Year or Variety-by-N interactions suggested that year and N affected all the varieties in a similar manner. Year and N effects were larger than variety effect for P, which increased with N. In contrast, variety genotype exhibited a stronger influence on SDSS test, which was not affected by year and fertilizer. Variety effects on P did not reflect the variety differences for SDSS test. A high positive influence of some prolamin alleles on quality parameters was detected, mainly for SDSS values. No correlation between yield and P was detected in the landraces adapted to low N. Based on the results of yield and quality evaluations, four landraces with high yield and high gluten strength were pre-selected for low N production.

Genetic redundancy among durum wheat accessions as assessed with SSRs and endosperm proteins

Reducing duplication in ex-situ collections is complicated and requires good quality genetic markers. This study was conducted to assess the value of endosperm proteins and SSRs for validation of potential duplicates and monitoring intra-accession variability. Fifty durum wheat (Triticum turgidum ssp. durum) accessions grouped in 23 potential duplicates, and previously characterised for 30 agro-morphological traits, were analysed for gliadin and high molecular weight glutenin (HMWG) subunit alleles, total protein, and 24 SSRs, covering a wide genome area. Similarity and dissimilarity matrices were generated based on protein and SSRs alleles. For heterogeneous accessions at gliadins the percent pattern homology (PH) between gliadin patterns and the Nei’s coefficient of genetic identity (I) were computed. Eighteen duplicates identical for proteins showed none or less than 3 unshared SSRs alleles. For heterogeneous accessions PH and I values lower than 80 identified clearly off-types with more than 3 SSRs unshared. Only those biotypes differing in no more than one protein-coding locus were confirmed with SSRs. A good concordance among proteins, morphological traits, and SSR were detected. However, the discrepancy in similarity detected in some cases showed that it is advisable to evaluate redundancy through distinct approaches. The analysis in proteins together with SSRs data are very useful to identify duplicates, biotypes, close related genotypes, and contaminations

On nonlinearity in neural encoding models applied to the primary visual cortex

Within the regression framework, we show how different levels of nonlinearity influence the instantaneous firing rate prediction of single neurons. Nonlinearity can be achieved in several ways. In particular, we can enrich the predictor set with basis expansions of the input variables (enlarging the number of inputs) or train a simple but different model for each area of the data domain. Spline-based models are popular within the first category. Kernel smoothing methods fall into the second category. Whereas the first choice is useful for globally characterizing complex functions, the second is very handy for temporal data and is able to include inner-state subject variations. Also, interactions among stimuli are considered. We compare state-of-the-art firing rate prediction methods with some more sophisticated spline-based nonlinear methods: multivariate adaptive regression splines and sparse additive models. We also study the impact of kernel smoothing. Finally, we explore the combination of various local models in an incremental learning procedure. Our goal is to demonstrate that appropriate nonlinearity treatment can greatly improve the results. We test our hypothesis on both synthetic data and real neuronal recordings in cat primary visual cortex, giving a plausible explanation of the results from a biological perspective.