Complicaciones sépticas de la osteosíntesis lumbosacra: Análisis de 23 casos

Entre 1987 y 1995 hemos intervenido 295 pacientes afectos de patología lumbosacra realizando en todos ellos una artrodesis instrumentada. Veintitrés pacientes tuvieron como complicación una infección profunda, lo que equivale a un 7,8%. El germen más frecuentemente aislado como responsable de la infección fue el Staphylococcus aureus resistente a la meticilina. La antibioterapia más veces utilizada fue una cefalosporina de 2.a generación. La infección se resolvió en 4 ocasiones bajo tratamiento médico; sin embargo, en 19 se procedió a limpieza quirúrgica de los tejidos dañados no siendo necesaria la retirada del material de osteosíntesis. En 9 ocasiones se practicó una 2.a reintervención, y en otros 4 una tercera. En nuestra serie, fue necesario reintervenir quirúrgicamente el 50% de los pacientes a los que se practicó una limpieza quirúrgica. Dado que la profilaxis antibiótica debe de cubrir los gérmenes prevalentes en cada unidad hospitalaria, de acuerdo con su patrón de resistencia, hubiera sido más adecuado el empleo de antibióticos glucopeptídicos.Between 1987 and 1995 we performed an instrumented arthrodesis on 295 patients with lumbosacral pathology and 23 patients (7.8%) had a serious infection. Methicillin-resistent Staphylococcus aureus was the most frequently isolated causal germs. Second generation Cephalosporin was the antibiotic administered the most. The infection was cured in 4 cases with medical treatment. However, in 19 patients surgical cleaning of the damaged tissue was required, although it was not necessary to remove the osteosynthesis material. In 9 cases a second operation was performed and a third in 4 others. In our series, 50% of the patients who required surgical cleaning underwent another operation. Due to the fact that prophylactic antibiotics should cover the germs prevalent in each hospital ward, according to the resistence patterns, the use of Glycopeptid antibiotics would have been more appropriate

Toward reliable population estimates of wolves by combining spatial capture-recapture models and non-invasive DNA monitoring

Decision-makers in wildlife policy require reliable population size estimates to justify interventions, to build acceptance and support in their decisions and, ultimately, to build trust in managing authorities. Traditional capture-recapture approaches present two main shortcomings, namely, the uncertainty in defining the effective sampling area, and the spatially-induced heterogeneity in encounter probabilities. These limitations are overcome using spatially explicit capture-recapture approaches (SCR). Using wolves as case study, and non-invasive DNA monitoring (faeces), we implemented a SCR with a Poisson observation model in a single survey to estimate wolf density and population size, and identify the locations of individual activity centres, in NW Iberia over 4,378 km. During the breeding period, posterior mean wolf density was 2.55 wolves/100 km (95%BCI = 1.87-3.51), and the posterior mean population size was 111.6 ± 18.8 wolves (95%BCI = 81.8-153.6). From simulation studies, addressing different scenarios of non-independence and spatial aggregation of individuals, we only found a slight underestimation in population size estimates, supporting the reliability of SCR for social species. The strategy used here (DNA monitoring combined with SCR) may be a cost-effective way to generate reliable population estimates for large carnivores at regional scales, especially for endangered species or populations under game management.J.V.L.B. was supported by a Ramon & Cajal research contract (RYC-2015-18932) from the Spanish Ministry of Economy, Industry and Competitiveness. R.G. was supported by research contract (IF/00564/2012) from the Portuguese Foundation for Science and Technology (FCT). Tis work was partially supported by the project PTDC/BIA-EVF/2460/2014 (FCT).Peer Reviewe

Feasible glass-melting process assisted by microwaves

This is the peer reviewed version of the following article: Reinosa, JJ, García-Baños, B, Catalá-Civera, JM, López-Buendía, AM, Guaita, L, Fernández, JF. Feasible glass-melting process assisted by microwaves. Int J Appl Glass Sci. 2019; 10: 208 219, which has been published in final form at https://doi.org/10.1111/ijag.13093. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.[EN] The advantages of microwave (MW) energy processing have been verified in the sintering of a ceramic frit at a pre-industrial scale. The challenge of achieving high temperature using MW energy at such dimensions was overcome and a mix of natural raw materials was heated until its fluxing point. Changes in dielectric properties of the raw materials mix were also measured in situ with the increase in temperature, being in accordance to thermal processes of a conventional heating process. The properties of the resulting ceramic frit were compared with the same frit obtained by the conventional sintering method. Both frits showed similar thermal behavior regarding DTA-TGA, heating microscopy and XRD (only glassy phase was present). A Raman study confirms the existence of the mentioned glass phase. The application of the frits as glazes were performed and their properties were studied. As a result, glazes with similar properties were obtained which confirms that the MW energy processed frit is suitable for its application as a ceramic glaze.Consejo Superior de Investigaciones Cientificas, Grant/Award Number: CSIC201560E068; Ministerio de Ciencia, Tecnologia e Innovacion Productiva, Grant/Award Number: MAT2017-86450-C4-1-R; Seventh Framework Programme, Daphne Project, Grant/Award Number: 314636Jiménez Reinosa, J.; García-Baños, B.; Catalá Civera, JM.; López-Buendía, ÁM.; Guaita, L.; Fernández, JF. (2019). Feasible glass-melting process assisted by microwaves. International Journal of Applied Glass Science. 10(2):208-219. https://doi.org/10.1111/ijag.13093S20821910

NOVEDADES COROLÓGICAS PARA LA FLORA VASCULAR DEL SURESTEN IBÉRICO

Chorological novelties are introduced in the flora of Murcia (Inula salicina, Jasione crispa subsp. segurensis, Lonicera arborea, Phagnalon x murbeckii, Sideritis chamaedryfolia subsp. chamaedryfolia, Tragopogon pratensis) Albacete (Epipactis cardina, Epipactis microphylla, Ferulago ternatifolia, Fraxinus excelsior, Tragopogon pratensis) and Alicante (Stapelia variegate), in the South-East of the Iberian Peninsula. On the other hand, it has been amplified the distribution of several rare plants in Murcia, like some orchids (Epipactis cardina, Epipactis tremolsii, Himantoglossum hircinum and Ophrys incubacea).Se presentan novedades corológicas para la flora de Murcia (Inula salicina, Jasione crispa subsp. segurensis, Lonicera arborea, Phagnalon x murbeckii, Sideritis chamaedryfolia subsp. chamaedryfolia, Tragopogon pratensis), Albacete (Epipactis cardina, Epipactis microphylla, Ferulago ternatifolia, Fraxinus excelsior, Tragopogon pratensis) y Alicante (Stapelia variegata), en el sureste de la Península Ibérica. Por otro lado, se amplía el conocimiento sobre el área de distribución de diversas especies raras en Murcia, entre ellas varias orquídeas poco citadas (Epipactis cardina, Epipactis tremolsii, Himantoglossum hircinum, Ophrys incubacea)

Dataset on water–glycerol flow in a horizontal pipeline with and without leaks

The dataset presented in this article was collected in a laboratory flow circuit, which was designed to investigate highviscosity flows. The data set is composed of 1200 s (equivalent to 12,000 samples) of mass flow and pressure measurements taken at five points along the pipeline. The first 300 s were recorded when the flow in the loop was composed only of glycerol. The remaining data were acquired when the flow was composed of a water–glycerol mixture. During the data acquisition, two extractions were produced. The research reported in [1] uses 160 s of the data provided here. This article explains in detail the experimental set-up and the principal instruments used for obtaining the dataset. The dataset is in the form of seven columns: Time, Mass Flow, Pressure 1, Pressure 2, Pressure 3, Pressure 4, Pressure 5, in supplementary Excel and Matlab files

Control of quality and silo storage of sunflower seeds using near infrared technology

En este trabajo se evalúa la espectroscopía de infrarrojo cercano para su uso en el control de calidad y almacenamiento de semillas de girasol. Los resultados indican que el método analítico empleado puede utilizarse como método de determinación rápida de humedad, grasa y contenidos altos/bajos de ácido oleico. Los rangos de aplicación son comparables con los valores que se han determinado mediante métodos clásicos de análisis, encontrándose entre 4.6-21.4% la humedad, 38.4-49.6% la grasa y 60.0- 93.1% de ácido oleico del total de los ácidos grasos. Además se ha utilizado un análisis discriminarte lineal por pasos determinando las longitudes de onda más adecuadas para la clasificación de semillas de girasol en los grupos alto/bajo oleico. El modelo generado permitió la clasificación de semillas de girasol en los grupos alto y bajo oleico con unos porcentajes de muestras correctamente clasificadas de un 90.5% en validación interna y de un 89.4% en validación cruzadaThis work assesses the application of near infrared spectroscopy technology for the quality control of sunflower seeds direct from farmers and from a storage silo. The results show that the analytical method employing near infrared spectroscopy can be used as a rapid and non-destructive tool for the determination of moisture, fat and high/low oleic acid contents in samples of sunflower seeds. The ranges obtained were comparable to those reported for classic chemical methods, and were between 4.6-21.4% for moisture; 38.4-49.6% for fat, and 60.0-93.1% for oleic acid expressed as percentage of total fatty acids. A stepwise discriminant analysis was performed to determine the most useful wavelengths for classifying sunflower seeds in terms of their (high/low) oleic acid composition. The discriminant model allows the classification of sunflower seeds with high or low oleicacid contents, with a prediction rate of 90.5% for internal validation and of 89.4% for cross-validatio