Procedimiento para la purificación de Triglicéridos que contienen ácido Gamma-Linolenico en posición SN-2

Número de publicación: ES2345529 A1 (24.09.2010) También publicado como: ES2345529 B2 (21.07.2011) Número de Solicitud: Consulta de Expedientes OEPM (C.E.O.) P200900892(13.03.2009)Procedimiento para la purificación de triglicéridos que contienen ácido gamma-linolénico en posición sn-2. Con la finalidad de purificar triglicéridos que contienen ácido gamma-linolénico a partir de fuentes naturales, se utiliza una columna cromatográfica gravimétrica en fase normal, trabajando en gradiente de polaridad con solventes biocompatibles. Así se consigue la purificación de triglicéridos que cuentan en su estructura con una o más moléculas de ácido gamma-linolénico, pudiendo ser utilizados con diversos fines. Con esta metodología es posible trabajar a escala industrial, pues es fácilmente escalable, a diferencia de otras técnicas que son aplicables a escala analítica pero presentan serios inconvenientes en cuanto a coste y adiestramiento del personal a la hora de utilizarlas con fines industriales, como por ejemplo la cromatografía líquida de alta resolución (HPLC).Universidad de Almerí

La provincia de muzo en 1754 — informe presentado al rey.

La provincia de Muzo en 1754 - Informe presentado al Rey.   Archivo Regional de Boyacá, Archivo Histórico de Tunja, legajo 215 (sin foliar). Catalogado con el título de "Informe del Alcalde Ordinario al Virrey". Transcripción de Amado A. Guerrero Rincón. No. 20, 1992, págs. 133-14

Procedimiento para la purificación de Triglicéridos que contienen ácido Estearidónico en posición SN-2

Número de publicación: ES2363518 A1 (08.08.2011)También publicado como: ES2363518 A8 (10.04.2012), ES2363518 B1 (13.06.2012)Número de Solicitud: Consulta de Expedientes OEPM (C.E.O.) P201000070(23.01.2010)Procedimiento para la purificación de triglicéridos que contiene ácido estearidónico en posición sn-2. La invención se refiere a un procedimiento para la purificación de TGs ricos en SDA en posición sn-2 mediante cromatografía en columna gravimétrica, a un extracto de TGs ricos en SDA en posición sn-2 obtenido mediante dicho procedimiento y su uso en la industria.Univerisda de Almerí

Economía laboral y discapacidad: reflexiones en torno a un asunto de salud pública

Introduction:  Disability prevalence around the world is a constant phenomenon.  The World Health Organization and the World Bank state that 15% of the world population is affected by some kind of disability.  Labor inclusion is one of the biggest obstacles that this population faces.  This reality is clearly seen in aspects such as the possibility to have a job, and the way to make an income among others.  These economic aspects are discussed most of the time by disciplines different from economics, resulting as a problem because of the poor attention given to this issue. Objective: To establish and analyze the main factors affecting employment possibilities among disable population.  Conclusions:  This work allows us to identify that people with disabilities face disadvantages due to social prejudices and also because of the lack of consideration they face when trying to integrate to everyday aspects.[Navarro-España JL, Viana-Barceló RA, Guerrero-Rincón I. Labor economics and disability: reflections around public health. MedUNAB 2015; 18(1):71-75]Introducción: La prevalencia de la discapacidad en el mundo es un fenómeno persistente. La Organización Mundial de la Salud y el Banco Mundial afirman que el 15% de la población del mundo está afectada por algún tipo de discapacidad. La inclusión laboral es uno de los obstáculos más grandes que enfrenta este grupo poblacional. Esta realidad se ve reflejada en aspectos como la probabilidad de tener empleo, la generación de ingresos entre otros. Estos aspectos, que son de naturaleza económica, son abordados la mayor parte de las veces desde disciplinas diferentes a la economía, potenciando en ocasiones un enfoque poco integral y asistencialista de este problema. Objetivo: Establecer y analizar desde el punto de vista económico cuales son los principales factores que inciden sobre las posibilidades laborales de la población en discapacidad. Conclusiones: la revisión permite identificar que las condiciones bajo las que viven las personas en discapacidad son desventajosas debido a prejuicios sociales, pero también por la ausencia de consideración expresa de los obstáculos que enfrentan para integrarse a todas las situaciones de la vida. [Navarro-España JL, Viana-Barceló RA, Guerrero-Rincón I. Economía laboral y discapacidad reflexiones en torno a un asunto de salud pública. MedUNAB 2015; 18(1):71-75

Quality of a Cambisol at different times of agricultural use in the region of Los Ríos, Tabasco, Mexico.

ABSTRACT Objective: Assessing the quality of a Cambisol soil with different times of agricultural use in the Los Ríos region (RR), Tabasco, Mexico. Design/methodology/approach: Four agricultural uses were selected in a Cambisol (CM): rainfed crops (CT), annual crops (CA), pasture (Pa) and secondary vegetation (VS), established in three stages (1984, 2000 and 2019), with four repetitions. Soil samples were collected from all surveyed sites with an auger at a depth of 0-30 cm. The following physico-chemical properties were determined in the soil samples: texture (T), bulk density (DA), aggregate stability (EA), pH, electrical conductivity (CE), organic matter (MO), total nitrogen (N), phosphorus (P) and potassium (K). An analysis of variance of the factorial experiment was performed (significance level p=0.05). The variables that presented a significant effect were subjected to Tukey's multiple comparison of means test (significance level p=0.05). Results: Statistically significant differences (p≤0.05) were obtained in the MO, P and K contents and in DA. High OM content in CM with VS at any time of establishment, shows better soil quality compared to CM with CT and CA. The high DA recorded in CM with Pa since 1984, indicates a degradation of soil quality due to compaction, as a result of grazing by extensive livestock. Limitations on study/implications: Sustainable management practices are required to recover degraded CM. Findings/conclusions: OM and DA contents were the best indicators of CM soil quality, affected by agricultural use change and time of use in the RR, Tabasco.    Objective: To evaluate the quality of a Cambisol at different times of agricultural use in the Los Ríos region (RR), Tabasco, Mexico. Design/Methodology/Approach: Four agricultural uses were selected on a Cambisol (CM): rainfed crop (RC), annual crop (AC), pasture (Pa), and secondary vegetation (SV). These were established at three different times (1984, 2000, and 2019) with four replications. Soil was collected using an auger at a depth of 0-30 cm. The physicochemical properties of the soil—such as texture (T), bulk density (BD), aggregate stability (AS), pH, electrical conductivity (EC), organic matter (OM), total nitrogen (N), phosphorus (P), and potassium (K)—were determined. A factorial analysis of variance was performed (significance level p=0.05). Variables that showed a statistically significant effect were subjected to Tukey's multiple comparison test (significance level p=0.05). Results: Statistically significant differences (p≤0.05) were obtained for OM, P, K, and BD contents. The high OM content present in CM with SV in all years shows a better soil quality compared to CM with RC and AC. The high BD recorded in CM with Pa since 1984 shows soil quality degradation by compaction resulting from grazing due to extensive livestock farming. Study limitations/Implications: Sustainable management practices are required to recover degraded CM. Findings/Conclusions: OM and BD contents were the best quality indicators for the CM affected by the change in agricultural use and time of use in RR, Tabasco

Conocimiento objetivo y subjetivo de los consumidores españoles sobre el pescado

Product knowledge has been recognised as an important factor influencing consumer decision making. The aim of this study was to assess Spanish consumers’ knowledge about fish as well as their relationship with certain socio-demographic characteristics. Objective and subjective knowledge were measured by means of 5 and 4 items respectively. Overall results revealed the existence of a certain lack of knowledge about fish, although some differences were observed depending on gender, age, education level, region of residence and growing up region (coastal or interior). A positive relationship between objective and subjective knowledge was also detected

Computational approaches to Explainable Artificial Intelligence:Advances in theory, applications and trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.</p

Computational Approaches to Explainable Artificial Intelligence:Advances in Theory, Applications and Trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9 International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications