Capacidades científicas y Sistemas experimentales: Una propuesta operativa sobre el rol de los científicos en el contexto de la producción de conocimiento

En los estudios actuales sobre producción de conocimiento científico predomina la tendencia a analizar la producción de conocimiento científico por medio de su estructura relacional, dejando en un segundo plano el análisis de las capacidades de los científicos que inciden en los procesos de investigación. En este trabajo queremos argumentar en favor de una dirección diferente. Concretamente, defendemos que los científicos y sus capacidades -operativamente comprendidas- son una condición indispensable para la producción de conocimiento. Para defender esta posición, en primer lugar, expondremos dos teorías representativas de esta tendencia para posteriormente mostrar sus limitaciones a la hora de analizar las relaciones y entramados que posibilitan producir conocimiento y examinan el resultado de esas relaciones, pero son incapaces de explicar cuál es rol que desempeñan los científicos y sus capacidades dentro del mismo. Dada esta situación, en segundo lugar, proponemos una caracterización operativa de los científicos y sus capacidades en la producción de conocimiento científico. Esta caracterización la desarrollaremos tomando como base la teoría de los sistemas experimentales de Rheinberger. A partir de ella, propondremos una interpretación propia de unas indicaciones hechas por Rheinberger sobre las capacidades científicas y su relación concreta con los sistemas experimentales. Esta interpretación destaca cómo las operaciones y conocimientos no temáticos inciden en el reconocimiento de anomalías y posibilitan intervenciones concretas en el sistema experimental, permitiendo de esta manera la producción de conocimiento

Parameter estimation for an electric arc furnace model using maximum likelihood

Este documento presenta una metodología para determinar los parámetros de un modelo de un horno de arco eléctrico usando máxima verosimilitud (máximum likelihood estimation - MLE). La estimación por máxima verosimilitud es uno de los métodos de estimación de parámetros clásica más empleada en la práctica. El modelo de horno de arco utilizado considera las variaciones aperiódicas y la no linealidad en su característica voltaje-corriente. Se ha utilizado el toolbox NETLAB desarrollado para MATLAB®, para solucionar el sistema de ecuaciones no lineales que relacionan los parámetros del modelo que se requieren estimar. Los resultados obtenidos en simulación del modelo del horno de arco implementado en PSCADTM, se comparan con mediciones reales tomadas en la etapa más crítica de la operación del horno. Se muestra como el modelo del horno de arco captura con gran detalle las formas de onda de voltajes y corrientes reales de los arcos eléctricos generados al interior del horno. Los resultados obtenidos muestran un error máximo de 5,03 % en las corrientes eficaces del arco eléctrico y 11,4 % en los voltajes eficaces de fase del secundario del transformador que energiza los electrodos del horno.In this paper, we present a methodology for estimating the parameters of a model for an electrical arc furnace, by using maximum likelihood estimation. Maximum likelihood estimation is one of the most employed methods for parameter estimation in practical settings. The model for the electrical arc furnace that we consider, takes into account the non-periodic and non-linear variations in the voltage-current characteristic. We use NETLAB, an open source MATLAB® toolbox, for solving a set of non-linear algebraic equations that relate all the parameters to be estimated. Results obtained through simulation of the model in PSCADTM, are contrasted against real measurements taken during the furnance's most critical operating point. We show how the model for the electrical arc furnace, with appropriate parameter tuning, captures with great detail the real voltage and current waveforms generated by the system. Results obtained show a maximum error of 5% for the current's root mean square error

Detection of Quantitative Trait Loci Controlling the Content of Phenolic Compounds in an Asian Plum (Prunus salicina L.) F1 Population

Consumption of fresh fruit is known to protect against non-communicable diseases due to the fruit's content in compounds with an antioxidant capacity, among them is polyphenols. Asian plums (Prunus salicina L.) accumulate more than 40 phenolic compounds, with a remarkable diversity in their profiles, depending on the variety and environmental conditions. Although candidate genes have been indicated to control this trait, the loci controlling its phenotypic variation have not yet been defined in this species. The aim of this work was to identify the quantitative trait Loci (QTL) controlling the phenolic compounds content in the Asian plum skin and flesh. Using UHPLC-DAD-Orbitrap-MS, we determined that cyanidin-3-glucoside and cyanidin-3-rutinoside are the main anthocyanins in Asian plums. Other anthocyanins found to a lesser extent were tentatively identified as cyanidin bound to different sugar and procyanidin moieties. Then we phenotyped fruits of 92 and 80 F1 seedlings from the cross (98 Ang) for two harvest seasons. We used HPLC-DAD to quantify single anthocyanin and spectrophotometric techniques to determine the total content of phenols, flavonoids, procyanidins, and antioxidant activity (DPPH and FRAP). To determine the phenotype-genotype association of phenolic compounds content, phenotypic values (adjusted by linear mixed-effects models), genotypic data and linkage maps were analyzed with the multiple QTL model (MQM) approach. We found a total of 21 significant trait-marker associations: 13 QTLs segregating from “98.99” and 8 QTLs from “Angeleno.” From these associations, 8 corresponded to phenolic compound content in the flesh and 13 in the skin. Phenotype variance was explained by the detected loci, ranging from 12.4 to 27.1%. The identified loci are related to the content of cyanidin-3-glucoside (LG4), cyanidin-3-rutinoside (LG4), total flavonoids and procyanidins (LG5 and LG8), and minor anthocyanin compounds (LG3 and LG4). These results will help improve the efficiency of breeding programs for the generation of Asian plum varieties with high phenolic compound content.This work has been funded by the National Agency of Research and Development (ANID), Chile: Fondecyt start into Research No. 11150662, Fondecyt Regular No. 1191446, and FONDEF Project IT17I0069 Sweet Pekeetah: un modelo tecnológico-comercial para una nueva variedad chilena de fruta; BB and CS-A were supported by BECAS DE DOCTORADO NACIONAL/2020 No. 21200330 and 21191605, respectively. The work of JS was supported by the Ministry of Science and Innovation of Spain through Juan de la Cierva incorporation contract (IJC2018-036623-I

An Upgraded, Highly Saturated Linkage Map of Japanese Plum (Prunus salicina Lindl.), and Identification of a New Major Locus Controlling the Flavan-3-ol Composition in Fruits

Japanese plum fruits are rich in phenolic compounds, such as anthocyanins and flavan-3-ols, whose contents vary significantly among cultivars. Catechin (C) and epicatechin (EC) are flavan-3-ol monomers described in the fruits of this species and are associated with bitterness, astringency, antioxidant capacity, and susceptibility to enzymatic mesocarp browning. In this study, we aimed to identify quantitative trait loci (QTL) associated with the content of flavan-3-ol in Japanese plum fruits. We evaluated the content of C and EC in the mesocarp and exocarp of samples from 79 and 64 seedlings of an F1 progeny () in the first and second seasons, respectively. We also constructed improved versions of linkage maps from ‘98–99’ and ‘Angeleno,’ presently called single-nucleotide polymorphisms (SNPs) after mapping the already available GBS reads to Prunus salicina Lindl. cv. ‘Sanyueli’ v2.0 reference genome. These data allowed for describing a cluster of QTLs in the cultivar, ‘Angeleno,’ associated with the flavan-3-ol composition of mesocarp and exocarp, which explain up to 100% of the C/EC ratio. Additionally, we developed a C/EC metabolic marker, which was mapped between the markers with the highest log of odds (LOD) scores detected by the QTL analysis. The C/EC locus was located in the LG1, at an interval spanning 0.70 cM at 108.30–108.90 cM. Our results suggest the presence of a novel major gene controlling the preferential synthesis of C or EC in the Japanese plum fruits. This study is a significant advance in understanding the regulation of synthesizing compounds associated with fruit quality, postharvest, and human health promotion.This study has been funded by the National Agency of Research and Development (ANID)/the Scholarship Program/BECAS DE DOCTORADO NACIONAL/2020 – 21200330; Fondecyt Regular No. 1191446; Fondecyt Iniciación No. 11150662; Fondecyt Regular No. 1200718; FONDEF Project IT17I0069 Sweet Pekeetah: “un modelo tecnológico- comercial para una nueva variedad chilena de fruta”. JS was supported by the Ministry of Science and Innovation of Spain through the Juan de la Cierva incorporation contract (IJC2018-036623-I

Fully adaptive multiresolution schemes for strongly degenerate parabolic equations with discontinuous flux

A fully adaptive finite volume multiresolution scheme for one-dimensional strongly degenerate parabolic equations with discontinuous flux is presented. The numerical scheme is based on a finite volume discretization using the Engquist--Osher approximation for the flux and explicit time--stepping. An adaptivemultiresolution scheme with cell averages is then used to speed up CPU time and meet memory requirements. A particular feature of our scheme is the storage of the multiresolution representation of the solution in a dynamic graded tree, for the sake of data compression and to facilitate navigation. Applications to traffic flow with driver reaction and a clarifier--thickener model illustrate the efficiency of this method

Transforming Growth Factor Beta 2 and Heme Oxygenase 1 Genes Are Risk Factors for the Cerebral Malaria Syndrome in Angolan Children

BACKGROUND: Cerebral malaria (CM) represents a severe outcome of the Plasmodium falciparum infection. Recent genetic studies have correlated human genes with severe malaria susceptibility, but there is little data on genetic variants that increase the risk of developing specific malaria clinical complications. Nevertheless, susceptibility to experimental CM in the mouse has been linked to host genes including Transforming Growth Factor Beta 2 (TGFB2) and Heme oxygenase-1 (HMOX1). Here, we tested whether those genes were governing the risk of progressing to CM in patients with severe malaria syndromes. METHODOLOGY/PRINCIPAL FINDINGS: We report that the clinical outcome of P. falciparum infection in a cohort of Angolan children (n = 430) correlated with nine TGFB2 SNPs that modify the risk of progression to CM as compared to other severe forms of malaria. This genetic effect was explained by two haplotypes harboring the CM-associated SNPs (Pcorrec. = 0.035 and 0.036). In addition, one HMOX1 haplotype composed of five CM-associated SNPs increased the risk of developing the CM syndrome (Pcorrec. = 0.002) and was under-transmitted to children with uncomplicated malaria (P = 0.036). Notably, the HMOX1-associated haplotype conferred increased HMOX1 mRNA expression in peripheral blood cells of CM patients (P = 0.012). CONCLUSIONS/SIGNIFICANCE: These results represent the first report on CM genetic risk factors in Angolan children and suggest the novel hypothesis that genetic variants of the TGFB2 and HMOX1 genes may contribute to confer a specific risk of developing the CM syndrome in patients with severe P. falciparum malaria. This work may provide motivation for future studies aiming to replicate our findings in larger populations and to confirm a role for these genes in determining the clinical course of malaria

Mitigación con Sistemas Silvopastoriles en Latinoamérica: Aportes para la incorporación en los sistemas de Medición Reporte y Verificación bajo la CMNUCC

En Latinoamérica el 46% de las emisiones de GEI proviene del cambio de usos de la tierra y el 20% de la agricultura, en donde el 58% y el 70% de las emisiones son debidas a la ganadería. El continuo crecimiento de este sector (+32% previsto al 2050) ha impulsado la expansión de la frontera agropecuaria en los bosques, generando múltiples impactos ambientales entre los cuales se encuentra la emisión de Gases Efecto Invernadero (GEI). Sin embargo, el sector tiene un alto potencial de mitigación reconocido por políticas, estrategias y programas de mitigación nacionales como las Contribuciones Nacionalmente Determinadas (NDC) y de desarrollo sectorial como las Acciones de Mitigación nacionalmente Apropiadas (NAMA). Entre estas acciones se incluye la implementación de sistemas silvopastoriles, cuya medición monitoreo y reporte a escala nacional presenta un estado de avance muy limitado, dejando su aporte a la mitigación invisible. A través de un Grupo Técnico de Trabajo ad hoc se han analizado el avance de los países de la región en la incorporación de los sistemas silvopastoriles en los sistemas nacionales de Medición/Monitoreo, Reporte y Verificación (MRV) de los Inventarios Nacionales de Gases Efecto Invernadero, y los requerimientos a cumplir para esto, generando una hoja de ruta a corto-medio plazo así como unas orientaciones técnicas para reducir la brecha existente

Mitigación con Sistemas Silvopastoriles en Latinoamérica: Aportes para la incorporación en los sistemas de Medición Reporte y Verificación bajo la CMNUCC

En Latinoamérica el 46% de las emisiones de GEI proviene del cambio de usos de la tierra y el 20% de la agricultura, en donde el 58% y el 70% de las emisiones son debidas a la ganadería. El continuo crecimiento de este sector (+32% previsto al 2050) ha impulsado la expansión de la frontera agropecuaria en los bosques, generando múltiples impactos ambientales entre los cuales se encuentra la emisión de Gases Efecto Invernadero (GEI). Sin embargo, el sector tiene un alto potencial de mitigación reconocido por políticas, estrategias y programas de mitigación nacionales como las Contribuciones Nacionalmente Determinadas (NDC) y de desarrollo sectorial como las Acciones de Mitigación nacionalmente Apropiadas (NAMA). Entre estas acciones se incluye la implementación de sistemas silvopastoriles, cuya medición monitoreo y reporte a escala nacional presenta un estado de avance muy limitado, dejando su aporte a la mitigación invisible. A través de un Grupo Técnico de Trabajo ad hoc se han analizado el avance de los países de la región en la incorporación de los sistemas silvopastoriles en los sistemas nacionales de Medición/Monitoreo, Reporte y Verificación (MRV) de los Inventarios Nacionales de Gases Efecto Invernadero, y los requerimientos a cumplir para esto, generando una hoja de ruta a corto-medio plazo así como unas orientaciones técnicas para reducir la brecha existente

Role of age and comorbidities in mortality of patients with infective endocarditis

[Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group