ABSTRACT
Para la organización de bases de datos de Neurociencias se han realizado diversos proyectos en países desarrollados, entre estos los repositorios de datos. El Centro de Neurociencias de Cuba es la institución rectora de los estudios neurocientíficos en el país. Debido a los volúmenes de datos que se manejan en su repositorio se dificulta el manejo estadístico y la obtención de reportes. El repositorio carece de herramientas para el análisis estadístico del universo de datos almacenado, dificultando la toma de decisiones sobre los diferentes tipos de datos. En base a las deficiencias identificadas se decidió desarrollar un grupo de funcionalidades de estadísticas y reportes que permiten la extracción de información útil desde diferentes perspectivas, beneficiando a los científicos de neurociencias en el estudio y aplicación de escenarios para el tratamiento de los datos almacenados. Se realizó un análisis del estado del arte de las herramientas que permiten generar reportes y estadísticas de los datos almacenados en un repositorio o en una base de datos. Para el desarrollo se utilizaron tecnologías y herramientas como Visual Paradigm para el modelado, PostgreSQL para el manejo de los datos, Django como framework de desarrollo y el lenguaje de desarrollo Python. El resultado obtenido propiciará una herramienta con características similares a sus homólogas internacionales(AU)
Various projects have been carried out in developed countries for the organization of Neuroscience databases, including data repositories. The Cuban Neuroscience Center is the leading institution for neuroscientific studies in the country. Due to the volumes of data that are managed in its repository, statistical management and obtaining reports are difficult. The repository lacks tools for statistical analysis of the universe of data stored, making it difficult to make decisions about the different types of data. Based on the deficiencies identified, it was decided to develop a group of statistical and reporting functionalities that allow the extraction of useful information from different perspectives, benefiting neuroscience scientists in the study and application of scenarios for the treatment of stored data. An analysis of the state of the art of the tools that allow generating reports and statistics of the data stored in a repository or in a database was carried out. For the development, technologies and tools such as Visual Paradigm for modeling, PostgreSQL for data management, Django as a development framework and the Python development language were used. The result obtained will provide a tool with similar characteristics to its international counterparts(AU)
Subject(s)
Humans , Medical Informatics Applications , Programming Languages , Neurosciences , Databases as Topic , StatisticsABSTRACT
Functional properties and antioxidative activity of a protein hydrolysate prepared from Acanthogobius hasta processing by-product protein during solid-state fermentation with Aspergillus oryzae were investigated. Overall, protease activity increased with the degree of hydrolysis (DH) decreased during solid-state fermentation. All the protein hydrolysate had excellent solubility, possessed interfacial properties, and varying degrees of antioxidant activity which were governed by their concentrations and DH, molecular weight distribution and amino acid composition. After 5 days fermentation, the DH of the protein hydrolysate was 31.23%. The protein hydrolysate had the highest total hydrophobic amino acid content, the highest DPPH scavenging activity, reducing power, and the chelating activity. The radical-scavenging activity of the hydrolysates at 6 mg/mL was 78.6%. The reducing power of protein hydrolysate at the range of 0-6 mg/mL was lower than that of BHA at the range of 0-60 µg/mL, while the chelating activity of APs was similar to that of BHA at the range of 0-60 µg/mL. Moreover, the protein hydrolysate showed good emulsifying and foaming properties over a wide pH range from 2 to 12. Therefore, solid state fermentation provided a suitable and low-cost method for converting Acanthogobius hasta processing by-product protein into antioxidant protein hydrolysates.
ABSTRACT
Vitis hybrid (Sheridan)-Robus coreanus red wine was vinified by fermentation of a mixture of Vitis hybrid and Robus coreanus must at 25degrees C for 10 days. The Vitis hybrid-Robus coreanus red wine had ethanol contents of 10.9%. It had high antihypertensive angiotensin I-converting enzyme (ACE) inhibitory activity of 57.8% and antioxidant activity of 64.8%. Changes in the physicochemical properties and functionality of the Vitis hybrid-Robus coreanus red wine was investigated during a post-fermentation period of three months. The ACE inhibitory activity of the red wine increased as the post-fermentation period prolonged, and showed the highest ACE inhibitory activity of 70.4% 60 days post-fermentation. However, the antioxidant activity declined significantly to 47.2% during the post-fermentation period of 60 days. In terms of sensory evaluation, the Vitis hybrid-Robus coreanus red wine had the best acceptability 60 days post-fermentation.