La predicción del calibre del corcho al final del turno y su aplicación al muestreo de la producción

105 cork samples (20 cm x 20 cm) have been extracted from seven sites selected as representatives of the main cork oak production areas in Spain. Age, thickness and annual growth of cork have been measured on the transversal section of each piece. Thickness of cork one, two and three years before stripping has been calculated. Lineal regression analysis has been performed to obtain predicting equations for thickness at debarking time, where independent variables were thickness one, two or three years before stripping and growth rate at each moment. A set of equations was obtained, and regression coefficients varied between 0.9918 (the year before stripping) and 0.9182 (three years before stripping). Due to the sampling method, it is considered that these equations can be applied all over the cork oak distribution area in Spain. Best results can be obtained using the following equation: EF = 0.70021 + 1.05232 * Et–1 (EF: final cork thickness; Et–1: cork thickness one year before stripping) The results allow some changes in the current sampling methods, designed for owners assessment, as sampling in the field can be done the year before stripping. Due to the role of thickness in grading of cork planks, more 75 % of the production is not affected by these estimations, when thickness one year before stripping is used.Se ha tomado una muestra de 105 piezas de corcho en plancha de 20 por 20 cm de tamaño, procedentes de siete puntos de muestreo localizados en montes que se consideran representativos de las principales zonas españolas de producción de corcho. Sobre la sección transversal de cada pieza se ha determinado la edad, y se han medido el espesor, o calibre, y los crecimientos anuales para cada uno de los años del turno, calculándose para cada pieza el espesor y crecimiento medio anual que presentaban uno, dos y tres años antes del descorche. Se realiza un análisis de regresión lineal paso a paso para ajustar las ecuaciones predictivas del espesor del corcho al final del turno, en función del espesor y el crecimiento medio anual uno, dos y tres años antes del descorche. Como resultado se obtiene una serie de ecuaciones en las que los coeficientes de determinación oscilan entre 0,9918 (un año antes del descorche) y 0,9182 (tres años antes del descorche). Debido a la amplitud del muestreo realizado y a la calidad de los ajustes, se considera que estas ecuaciones pueden ser aplicadas en cualquier punto del área española de producción de alcornocal. Los mejores resultados se obtienen con la ecuación: EF = 0,70021 + 1,05232 * Et–1 (EF: espesor final del corcho; Et–1: espesor el año anterior al descorche) Las ecuaciones obtenidas permiten modificar los actuales métodos de muestreo para asesoramiento de los propietarios, al posibilitar la toma de muestras uno, dos o tres años antes de la saca del corcho. Debido al papel que el espesor, tiene en el proceso de clasificación, se estima que un 75 % de la producción no estaría afectada por los errores que se puedan cometer en la estimación si se utilizan las ecuaciones basadas en el espesor el año antes del descorche

Data-Driven Phenotyping of Central Disorders of Hypersomnolence With Unsupervised Clustering

Background and ObjectivesRecent studies fueled doubts as to whether all currently defined central disorders of hypersomnolence are stable entities, especially narcolepsy type 2 and idiopathic hypersomnia. New reliable biomarkers are needed, and the question arises of whether current diagnostic criteria of hypersomnolence disorders should be reassessed. The main aim of this data-driven observational study was to see whether data-driven algorithms would segregate narcolepsy type 1 and identify more reliable subgrouping of individuals without cataplexy with new clinical biomarkers.MethodsWe used agglomerative hierarchical clustering, an unsupervised machine learning algorithm, to identify distinct hypersomnolence clusters in the large-scale European Narcolepsy Network database. We included 97 variables, covering all aspects of central hypersomnolence disorders such as symptoms, demographics, objective and subjective sleep measures, and laboratory biomarkers. We specifically focused on subgrouping of patients without cataplexy. The number of clusters was chosen to be the minimal number for which patients without cataplexy were put in distinct groups.ResultsWe included 1,078 unmedicated adolescents and adults. Seven clusters were identified, of which 4 clusters included predominantly individuals with cataplexy. The 2 most distinct clusters consisted of 158 and 157 patients, were dominated by those without cataplexy, and among other variables, significantly differed in presence of sleep drunkenness, subjective difficulty awakening, and weekend-week sleep length difference. Patients formally diagnosed as having narcolepsy type 2 and idiopathic hypersomnia were evenly mixed in these 2 clusters.DiscussionUsing a data-driven approach in the largest study on central disorders of hypersomnolence to date, our study identified distinct patient subgroups within the central disorders of hypersomnolence population. Our results contest inclusion of sleep-onset REM periods in diagnostic criteria for people without cataplexy and provide promising new variables for reliable diagnostic categories that better resemble different patient phenotypes. Cluster-guided classification will result in a more solid hypersomnolence classification system that is less vulnerable to instability of single features

Vortices in polariton OPO superfluids

This chapter reviews the occurrence of quantised vortices in polariton fluids, primarily when polaritons are driven in the optical parametric oscillator (OPO) regime. We first review the OPO physics, together with both its analytical and numerical modelling, the latter being necessary for the description of finite size systems. Pattern formation is typical in systems driven away from equilibrium. Similarly, we find that uniform OPO solutions can be unstable to the spontaneous formation of quantised vortices. However, metastable vortices can only be injected externally into an otherwise stable symmetric state, and their persistence is due to the OPO superfluid properties. We discuss how the currents charactering an OPO play a crucial role in the occurrence and dynamics of both metastable and spontaneous vortices.Comment: 40 pages, 16 figure

Nitrogen sources on TPOMW valorization through solid state fermentation performed by Yarrowia lipolytica

This manuscript reports the valorization of two-phase olive mill waste (TPOMW) as raw material and carbon source for solid state fermentation using Yarrowia lipolytica as biocatalyst. Due to its chemical characteristics, a combination of different raw materials (TPOMW and wheat bran, WB) was evaluated and two distinct nitrogen sources were applied as supplementation for lipase production. A TPOMW/WB ratio of 1:1 and supplementation with ammonium sulfate was chosen as the best condition. The productivity in 24 h reached 7.8 U/gh and, after four days of process, only decreased about 35%. Process pH ranged from 5.5-5.9, remaining in an acid range. Thus, the successful use of TPOMW, a watery solid by-product with high content of lipids, as raw material for Yarrowia lipolytica growth and lipase production provided an environmental friendly alternative to valorize such waste.The authors kindly acknowledge the financial aid and research scholarships given by CAPES. Maria Alice Zarur Coelho thanks CNPq (Proc. 308890/ 2013-2)

Effects of pretreatments of Napier Grass with deionized water, sulfuric acid and sodium hydroxide on pyrolysis oil characteristics

The depletion of fossil fuel reserves has led to increasing interest in liquid bio-fuel from renewable biomass. Biomass is a complex organic material consisting of different degrees of cellulose, hemicellulose, lignin, extractives and minerals. Some of the mineral elements tend to retard conversions, yield and selectivity during pyrolysis processing. This study is focused on the extraction of mineral retardants from Napier grass using deionized water, dilute sodium hydroxide and sulfuric acid and subsequent pyrolysis in a fixed bed reactor. The raw biomass was characterized before and after each pretreatment following standard procedure. Pyrolysis study was conducted in a fixed bed reactor at 600 o�C, 30 �C/min and 30 mL/min N2 flow. Pyrolysis oil (bio-oil) collected was analyzed using standard analytic techniques. The bio-oil yield and characteristics from each pretreated sample were compared with oil from the non-pretreated sample. Bio-oil yield from the raw sample was 32.06 wt% compared to 38.71, 33.28 and 29.27 wt% oil yield recorded from the sample pretreated with sulfuric acid, deionized water and sodium hydroxide respectively. GC–MS analysis of the oil samples revealed that the oil from all the pretreated biomass had more value added chemicals and less ketones and aldehydes. Pretreatment with neutral solvent generated valuable leachate, showed significant impact on the ash extraction, pyrolysis oil yield, and its composition and therefore can be regarded as more appropriate for thermochemical conversion of Napier grass

Novel Approach Identifies SNPs in SLC2A10 and KCNK9 with Evidence for Parent-of-Origin Effect on Body Mass Index

Marja-Liisa Lokki työryhmien Generation Scotland Consortium, LifeLines Cohort Study ja GIANT Consortium jäsenPeer reviewe

Quality grading of cork planks with classification models based on defect characterisation

A quality grading system for cork planks is presented using a classification model based on data obtained from the image analysis of transverse and tangential sections of cork planks and taking into account different types of defects. Three types of defects may be distinguished in cork by their geometrical parameters pores (lenticular channels), physiological anomalies (nail, clay and "bofe") and pathogenic anomalies (insect galleries of Coroebus undatus (F.) and Crematogaster scutellaris O1). A discriminant analysis was used to construct the classification model the variable with the highest discriminant power was the total porosity in the transverse section, and the other variables were transformations of the specific width in the tangential section and the aspect ratio in the transverse section. The model classified two thirds of the samples in accordance with the manual classification currently used in the industry and all cases of disagreement referred to changes between contiguous quality classes. © Springer-Verlag 2000