839 research outputs found

    N,N′-Bis(4-amino­benz­yl)oxalamide

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    In the title compound, C16H18N4O2, the two carbonyl groups are in an anti­periplanar conformation with an O=C—C=O torsion angle of 173.86 (17)°. In the crystal, a pair of inter­molecular N—H⋯O hydrogen bonds, forming an R 2 2(10) ring motif, connect the mol­ecules into an inversion dimer. The dimers are further linked by N—H⋯N and C—H⋯π inter­actions, forming a zigzag chain along the b axis

    Semantic Matching of Components at run-time in Distributed Environments

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    Software factories are a key element in Component-Based Software Engineering due to the common space provided for software reuse through repositories of components. These repositories can be developed by third parties in order to be inspected and used by different organizations, and they can also be distributed in different locations. Therefore, there is a need for a trading service that manages all available components. In this paper, we describe a matching process based on syntactic and semantic information of software components. This matching operation is part of a trading service which is in charge of generating configurations of components from architectural definitions. With this aim, the proposed matching allows us to evaluate and score the possible configurations, thus guiding a search process to build the architectural solution which best fulfills an input definition

    Effect of Melengestrol Acetate (Mga) on the Metabolic Profile in Heifers

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    AbstractFrom the analysis of 21 Cebu-Swiss heifers healthy, developing, with 235.55 ± 17.81kg of body weight (BW), 118.62 ± 3.97cm and 2.58 ± 0.35 of body condition (BC) scale of 1-5. They were divided into two groups: MGA (n = 10) and control (n = 11). For 55 days were given a constant diet (including 15 days of adaptation), based on concentrate and sorghum straw. The contribution of daily intake was 599.08g of crude protein and 12.18 Mcal. Blood samples were obtained every 5 days. The concentrations of cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein, urea, total protein and glucose were measured for spectrophotometric using the enzyme-colorimetric technique in plasma. The daily gain was balanced PV of 603.5 to 232.5 grams and height stopped from day 25. The CC did not show significant changes (P> 0.01). The mean concentration of plasma cholesterol was 107.59 ± 13.38 vs. 109.61 ± 11.72mg/dl (MGA and control, respectively) with a downward trend more pronounced from day 25. The concentration of triglycerides was 12.61 ± 6.91 vs. 16.19 ± 8.86mg/dl (MGA and control), no trend in the first 20 days and from day 25 there was an increase compared to the average of the previous days. The concentrations of HDL 63.73 ± 3.26 vs. 63.79 ± 10.27mg/dl (MGA and control) and 43.56 ± 6.24 vs. LDLc. 46.54 ± 14.89mg/dl (MGA and control) were irregular, but within normal ranges. The values of total protein were 5.70 ± 0.40 vs. 5.22 ± 0.31mg/dl (MGA and control), no trend the first 15 days and from day 20 increased in concentration compared to previous surveys. Urea levels were 14.79 ± 5.22 vs. 14.13 ± 4.8mg/dl (MGA and control) with a tendency to discharge. Glucose levels were 60.06 ± 7.62 vs. 58.24 ± 5.43mg/dl (MGA and control), with an irregular behavior in the normal range. The consumption of 0.5mg/dl of MGA for 40 days increased plasma concentrations of triglycerides and total protein, but did not affect cholesterol levels, HDL and LDL cholesterol, urea and glucose

    Use of Aerial Thermal Imaging to Assess Water Status Variability in Hedgerow Olive Orchards

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    Characterization of the spatial variability in tree water status is a prerequisite to conduct precise irrigation management within an orchard. This study assessed the suitability of a crop water stress index (CWSI) derived from high-resolution aerial thermal imagery to estimate tree water status variability in super high density (SHD) olive orchards. The experiment was conducted at a commercial SHD olive orchard near Seville (southwestern Spain). The drip irrigated trees were submitted to three irrigation regimes (four plots per treatment): a full irrigation treatment replacing the crop water needs (ETc) and two regulated deficit irrigation treatments replacing ca. 45% of ETc. During the irrigation season, meteorological variables, soil moisture content, leaf water potential and leaf gas exchange measurements were performed. Infrared temperature sensors (IRTS) installed about 1 m above the canopies were used to derive the required baselines for CWSI calculation. A thermal camera installed on a mini RPAS (Remote Piloted Aerial System) allowed recording high-resolution thermal images at 5 representative dates of the olive tree growing season. CWSI values derived from aerial thermal imagery were sensitive to the deliberately imposed variations in tree water status within the SHD olive orchard. Maximum stomatal conductance and midday stem water potential showed tight correlations with CWSI. We conclude that high resolution thermal imagery captured from a mini RPAS has proven to be a suitable tool to capture tree water status variability within SHD olive orchards.Ministerio de Economía y Competitividad AGL2012- 34544/ECOLIMAJunta de Andalucía P12-AGR-122

    Annual Legumes as an Alternative for Animal Feeding in Cuba

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    Studies conducted in Cuba have demonstrated the importance of the agronomic and nutritional performance of the species Vigna unguiculata (cowpea), Canavalia ensiformis (jackbean), Stizolobium niveum (mucuna), Lablab purpureus (dolicho) and Glycine max (soybean) as feed sources for non-ruminant species. Under Cuban tropical conditions, and with minimum agricultural inputs, jackbean, dolicho and mucuna have attained forage yields between 4 and 6 t dry matter (DM)/ha and grain yields between 2.57 and 3.41 t/ha and cowpea and soybean have given yields of between 1 and 2 t/ha (Díaz 2000). This study was carried out to determine the chemical composition of grains and forages of these annual legumes in relation to their use in animal feeding

    IAPT chromosome data 28

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    [EN] Veronica angustifolia (Vahl) Bernh.; Veronica austriaca subsp. jacquinii (Baumg.) Watzl; Veronica dalmatica N.Pad.Gar., Rojas-Andrés, López-González & M.M.Mart.Ort.; Veronica kindlii Adam.; Veronica orsiniana Ten.; Veronica prostrata L.; Veronica rosea Desf.; Veronica sennenii (Pau) M.M.Mart.Ort. & E.Rico; Veronica tenuifolia subsp. javalambrensis (Pau) Molero & J.Pujadas; Veronic tenuifolia Asso subsp. tenuifolia; Veronica teucrium L.; Veronica thracica Velen.. In: K. Marhold & J. Kucera, IAPT chromosome data 28

    Calibration of semi-analytic models of galaxy formation using Particle Swarm Optimization

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    We present a fast and accurate method to select an optimal set of parameters in semi-analytic models of galaxy formation and evolution (SAMs). Our approach compares the results of a model against a set of observables applying a stochastic technique called Particle Swarm Optimization (PSO), a self-learning algorithm for localizing regions of maximum likelihood in multidimensional spaces that outperforms traditional sampling methods in terms of computational cost. We apply the PSO technique to the SAG semi-analytic model combined with merger trees extracted from a standard Λ\LambdaCDM N-body simulation. The calibration is performed using a combination of observed galaxy properties as constraints, including the local stellar mass function and the black hole to bulge mass relation. We test the ability of the PSO algorithm to find the best set of free parameters of the model by comparing the results with those obtained using a MCMC exploration. Both methods find the same maximum likelihood region, however the PSO method requires one order of magnitude less evaluations. This new approach allows a fast estimation of the best-fitting parameter set in multidimensional spaces, providing a practical tool to test the consequences of including other astrophysical processes in SAMs.Comment: 11 pages, 4 figures, 1 table. Accepted for publication in ApJ. Comments are welcom
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