Physiological factors affecting the production of an antimicrobial substance by Streptomyces violatus in batch cultures

Egyptian Journal of Biology Vol.3 2001: 1-1

Cambios en el flavor debidos al efecto de diferentes materiales de envases en almacenamiento de aceite de semilla de algodón, aceite hidrogenado y margarina.

Bleached cottonseed oil, partially hydrogenated palm oil and margarine were packed in metal cans and white plastic bottles and stored for seven months at room temperature on side bench. Assessment of the stability of the oils towards flavour deterioration was reported. The deterioration of flavour developed from bleached cottonseed oil, partially hydrogenated palm oil and margarine was observed due to increase amount of aldehydes and ketones which play an important role in deterioration of the oils. From the results we found metal can offered suitable and better protection against deterioration than plastic package for cottonseed oil, partially hydrogenated palm oil. While plastic container was better for storing margarine and this is due to the presence of water and salt in margarine where they compose about 16% and 2% respectively.Aceite de semilla de algodón decolorado, aceite de palma parcialmente hidrogenado y margarina fueron envasados en latas metálicas y botellas de plástico blancas y almacenados durante siete meses a temperatura ambiente en estantes. Se relacionó la evaluación de la estabilidad de los aceites con la deterioración del flavor. La deterioración del flavor producida en aceite de semilla de algodón decolorado, aceite de palma parcialmente hidrogenado y margarina fue observada debido al aumento en la cantidad de aldehídos y cotonas que juegan un importante papel en la deterioración de los aceites. A partir de los resultados obtenidos se encontró que las latas metálicas ofrecieron una adecuada y mejor protección frente a la deterioración que los envases de plásticos para aceite de semilla de algodón y aceite de palma parcialmente hidrogenado. Por otra parte, los recipientes de plástico fueron mejores para el almacenamiento de margarina y esto es debido a la presencia de agua y sales en ella en una proporción del 16% y 2% respectivamente

Effects of Foliar Nutrition on Onion Seed Storage under Modified Atmosphere Packages

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Effects of Foliar Nutrition on Onion Seed Storage under Controlled Atmosphere

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Foliar Nutrition and Post-Harvest of Onion Seed: effects of storage temperatures, storage period and foliar nutrition

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Warped Riemannian metrics for location-scale models

The present paper shows that warped Riemannian metrics, a class of Riemannian metrics which play a prominent role in Riemannian geometry, are also of fundamental importance in information geometry. Precisely, the paper features a new theorem, which states that the Rao-Fisher information metric of any location-scale model, defined on a Riemannian manifold, is a warped Riemannian metric, whenever this model is invariant under the action of some Lie group. This theorem is a valuable tool in finding the expression of the Rao-Fisher information metric of location-scale models defined on high-dimensional Riemannian manifolds. Indeed, a warped Riemannian metric is fully determined by only two functions of a single variable, irrespective of the dimension of the underlying Riemannian manifold. Starting from this theorem, several original contributions are made. The expression of the Rao-Fisher information metric of the Riemannian Gaussian model is provided, for the first time in the literature. A generalised definition of the Mahalanobis distance is introduced, which is applicable to any location-scale model defined on a Riemannian manifold. The solution of the geodesic equation is obtained, for any Rao-Fisher information metric defined in terms of warped Riemannian metrics. Finally, using a mixture of analytical and numerical computations, it is shown that the parameter space of the von Mises-Fisher model of $n$-dimensional directional data, when equipped with its Rao-Fisher information metric, becomes a Hadamard manifold, a simply-connected complete Riemannian manifold of negative sectional curvature, for $n = 2,\ldots,8$. Hopefully, in upcoming work, this will be proved for any value of $n$.Comment: first version, before submissio

Synthesis of New Pyrazolo[1,5-a]-s-triazine, Pyrazolo[5,1-c]-as-triazines, Pyrazolo[1\u27,5\u27:1,2]imidazo[4,5-b] quinoxaline, and Pyrazolo[1,5-a]pyrimidines

Novel pyrazolo[1,5-a]-s-triazine, pyrazolo[1,5-c]-as-triazine, pyrazolo [1\u27,5\u27;1,2]imidazo[4,5-fr]quinoxaline and pyrazolo[1,5-a]pyrimidines have been prepared using 5-aminopyrazoles as starting materials

Analysis of Intracellular State Based on Controlled 3D Nanostructures Mediated Surface Enhanced Raman Scattering

Near-infrared surface-enhanced Raman spectroscopy (SERS) is a powerful technique for analyzing the chemical composition within a single living cell at unprecedented resolution. However, current SERS methods employing uncontrollable colloidal metal particles or non-uniformly distributed metal particles on a substrate as SERS-active sites show relatively low reliability and reproducibility. Here, we report a highly-ordered SERS-active surface that is provided by a gold nano-dots array based on thermal evaporation of gold onto an ITO surface through a nanoporous alumina mask. This new combined technique showed a broader distribution of hot spots and a higher signal-to-noise ratio than current SERS techniques due to the highly reproducible and uniform geometrical structures over a large area. This SERS-active surface was applied as cell culture system to study living cells in situ within their culture environment without any external preparation processes. We applied this newly developed method to cell-based research to differentiate cell lines, cells at different cell cycle stages, and live/dead cells. The enhanced Raman signals achieved from each cell, which represent the changes in biochemical compositions, enabled differentiation of each state and the conditions of the cells. This SERS technique employing a tightly controlled nanostructure array can potentially be applied to single cell analysis, early cancer diagnosis and cell physiology research

Predicting self‐declared movie watching behavior using Facebook data and information‐fusion sensitivity analysis

The main purpose of this paper is to evaluate the feasibility of predicting whether yes or no a Facebook user has self-reported to have watched a given movie genre. Therefore, we apply a data analytical framework that (1) builds and evaluates several predictive models explaining self-declared movie watching behavior, and (2) provides insight into the importance of the predictors and their relationship with self-reported movie watching behavior. For the first outcome, we benchmark several algorithms (logistic regression, random forest, adaptive boosting, rotation forest, and naive Bayes) and evaluate their performance using the area under the receiver operating characteristic curve. For the second outcome, we evaluate variable importance and build partial dependence plots using information-fusion sensitivity analysis for different movie genres. To gather the data, we developed a custom native Facebook app. We resampled our dataset to make it representative of the general Facebook population with respect to age and gender. The results indicate that adaptive boosting outperforms all other algorithms. Time- and frequency-based variables related to media (movies, videos, and music) consumption constitute the list of top variables. To the best of our knowledge, this study is the first to fit predictive models of self-reported movie watching behavior and provide insights into the relationships that govern these models. Our models can be used as a decision tool for movie producers to target potential movie-watchers and market their movies more efficiently