218,732 research outputs found
Biografía de los Reyes Católicos Don Fernando y Doña Isabel
No full text3 ej. de la misma obraBHR/C-019-059 (28) Enc. Pape
Mina de Reyes en Guanajuato
No full textI.O. A la derecha del negativo tiene una incripción que dice: "468", en la esquina derecha dice "Scon". La guarda dice: "C. B. Waite, Los Reyes, Guanajuato. Mina-955. 121". Número de inventario "122637". En las busquedas no se encontró un poblado con éste nombre, pero si la Mina de Los Reyes, en el estado de Guanajuato
[Dr. Flordeliza Reyes gave 3 lectures]
No full textEducational Management Department faculty and DLSU-CSB Dean Dr. Flordeliza Reyes gave 3 lectures on Statistics in research to the faculty of DLSU-Dasmarinas on October 9, Instructional supervision to the subject area coordinators of DLS-Zobel on September 30 and on Evaluation of pupils\u27 performance in the light of changing technologies at the Westin Philippine Plaza on September 24
Introduction to: Enabling Collaborative Governance through Systems Modeling Methods
No full textThis opening chapter sets out a structure for considering collaborative governance for public policy and managerial problem-solving through systemic principles,
as well as through the use of group processes to facilitate agreement and buy-in in collective strategies. Such a collection of tools, techniques, and frameworks is
needed to establish the value of these approaches and to accelerate their dissemination through the field
Oral history interview with Apollross Reyes
No full textOral history interview with Apollross Reyes conducted in-person on September 05, 2023. Topics covered include COVID, school, and personal life
miREE: miRNA Recognition Elements Ensemble
No full textAbstract Background Computational methods for microRNA target prediction are a fundamental step to understand the miRNA role in gene regulation, a key process in molecular biology. In this paper we present miREE, a novel microRNA target prediction tool. miREE is an ensemble of two parts entailing complementary but integrated roles in the prediction. The Ab-Initio module leverages upon a genetic algorithmic approach to generate a set of candidate sites on the basis of their microRNA-mRNA duplex stability properties. Then, a Support Vector Machine (SVM) learning module evaluates the impact of microRNA recognition elements on the target gene. As a result the prediction takes into account information regarding both miRNA-target structural stability and accessibility. Results The proposed method significantly improves the state-of-the-art prediction tools in terms of accuracy with a better balance between specificity and sensitivity, as demonstrated by the experiments conducted on several large datasets across different species. miREE achieves this result by tackling two of the main challenges of current prediction tools: (1) The reduced number of false positives for the Ab-Initio part thanks to the integration of a machine learning module (2) the specificity of the machine learning part, obtained through an innovative technique for rich and representative negative records generation. The validation was conducted on experimental datasets where the miRNA:mRNA interactions had been obtained through (1) direct validation where even the binding site is provided, or through (2) indirect validation, based on gene expression variations obtained from high-throughput experiments where the specific interaction is not validated in detail and consequently the specific binding site is not provided. Conclusions The coupling of two parts: a sensitive Ab-Initio module and a selective machine learning part capable of recognizing the false positives, leads to an improved balance between sensitivity and specificity. miREE obtains a reasonable trade-off between filtering false positives and identifying targets. miREE tool is available online at http://didattica-online.polito.it/eda/miREE/</p
Estudio de caso: los reyes del campo
No full textEn este trabajo se proporcionará información sobre el desarrollo de ideas en la empresa "Los Reyes del Campo". Este trabajo consiste en cinco diagnósticos que incluyen: un estudio de marketing, un estudio financiero, un estudio de habilidades gerenciales, un estudio de gerencia de proyectos y, finalmente, una evaluación de las estrategias de negociación de la empresa. Se analizó cada caso y se elaboró un plan de mejora para fortalecer las debilidades en cada área estudiada en la empresa.This work will provide information on the development of ideas in "Los Reyes del Campo" company 1. It consists of five diagnoses, which include marketing research, financial analysis, management skills assessment, project management assessment, and lastly, evaluation of the company's negotiation strategies. Each case was analyzed and an improvement plan was developed to strengthen the weaknesses in each area studied in the company.Administrador de empresashttps://www.ustabuca.edu.co/Pregrad
Microbial enrichment culture responsible for the complete oxidative biodegradation of 3‑Amino-1,2,4-triazol-5-one (ATO), the reduced daughter product of the insensitive munitions compound 3‑Nitro-1,2,4-triazol-5-one (NTO)
No full text3-Nitro-1,2,4-triazol-5-one (NTO) is one of the main ingredients of many insensitive munitions, which are being used as replacements for conventional explosives. As its use becomes widespread, more research is needed to assess its environmental fate. Previous studies have shown that NTO is biologically reduced to 3-amino-1,2,4-triazol-5-one (ATO). However, the final degradation products of ATO are still unknown. We have studied the aerobic degradation of ATO by enrichment cultures derived from the soil. After multiple transfers, ATO degradation was monitored in closed bottles through measurements of inorganic carbon and nitrogen species. The results indicate that the members of the enrichment culture utilize ATO as the sole source of carbon and nitrogen. As ATO was mineralized to CO₂, N₂, and NH₄⁺, microbial growth was observed in the culture. Co-substrates addition did not increase the ATO degradation rate. Quantitative polymerase chain reaction analysis revealed that the organisms that enriched using ATO as carbon and nitrogen source were Terrimonas spp., Ramlibacter-related spp., Mesorhizobium spp., Hydrogenophaga spp., Ralstonia spp., Pseudomonas spp., Ectothiorhodospiraceae, and Sphingopyxis. This is the first study to report the complete mineralization of ATO by soil microorganisms, expanding our understanding of natural attenuation and bioremediation of the explosive NTO.Journal ArticleFinal article publishe
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