Incidencia territorial de la política universitaria

La tendencia descentralizadora impulsada por la política universitaria española ha tenido, sin lugar a dudas, un impacto importante sobre la economía de las regiones en las que se ha asentado una Universidad de nueva creación. Los estudios del impacto económico de la Universidad sobre el área geográfica en la que se desenvuelve, son un importante instrumento para justificar e incentivar la descentralización geográfica de la educación superior, especialmente en tiempos en los que las rigideces presupuestarias exigen racionalizar al máximo los niveles de gasto público. Una de las técnicas habitualmente utilizadas para evaluar los efectos de la Universidad sobre la economía regional, es la basada en el análisis input-output. Dicho análisis estima el impacto total del gasto, incluyendo los efectos directos, los efectos indirectos y los efectos inducidos del consumo. La metodología input-output es precisamente, la que se aplica en este trabajo para poder cuantificar el impacto que las actividades de la Universidad de Lleida han tenido sobre la economía territorial.

Relaciones entre conocimiento del catalán y del castellano y el rendimiento matemático. Un estudio empírico

Este trabajo se desarrolla en el contexto sociocultural y lingüístico de la provincia de Lleida. En él se analiza la relación entre el dominio de las dos lenguas en contacto (catalán y castellano) con el rendimiento en matemáticas. Los resultados revelan que existe una correlación significativa entre el dominio de la lengua vehicular y el rendimiento matemático y, a su vez, que el mayor conocimiento de la lengua vehicular tiene efectos superiores en el rendimiento de los tres tipos de conocimiento que contempla la prueba de matemáticas. Por otra parte, se constata una elevada correlación entre el dominio del castellano y el resultado de la prueba de matemáticas, lo que revela que el conocimiento matemático obtenido a través de una de las lenguas se transfiere a la otra.

El estudio de los itinerarios escolares y post-escolares como pauta de reflexión en la construcción de una escuela y una sociedad para todos

La consecuencia lógica de la integración de las personas con necesidades educativas especiales en la institución escolar tendría que ser la anexión de estas a ámbitos normalizados de su colectividad una vez finalizada la escolaridad obligatoria. El discurso de la integración, por tanto, no se tendría que situar única y exclusivamente en el ámbito escolar, sino que debería extrapolarse a todos los ámbitos donde la persona se desarrolla. En este trabajo analizamos los itinerarios escolares y post-escolares que siguen las personas con discapacidad psíquica en la comarca del Segrià (Cataluña), apuntamos las posibles causas por las que se configuran unos itinerarios u otros y, a partir de ahí, establecemos pautas de reflexión para ir construyendo una escuela y una sociedad para todos.

Forage preservation (grazing vs. hay) fed to ewes affects the fatty acid profile of milk and CPT1B gene expression in the sheep mammary gland

Background: Alterations in lipid metabolism occur when animals are exposed to different feeding systems. In the last few decades, the characterisation of genes involved in fat metabolism and technological advances have enabled the study of the effect of diet on the milk fatty acid (FA) profile in the mammary gland and aided in the elucidation of the mechanisms of the response to diet. The aim of this study was to evaluate the effect of different forage diets (grazing vs. hay) near the time of ewe parturition on the relationship between the fatty acid profile and gene expression in the mammary gland of the Churra Tensina sheep breed. Results: In this study, the forage type affected the C18:2 cis-9 trans-11 (CLA) and long-chain saturated fatty acid (LCFA) content, with higher percentages during grazing than during hay feeding. This may suggest that these FAs act as regulatory factors for the transcriptional control of the carnitine palmitoyltransferase 1B (CPT1B) gene, which was more highly expressed in the grazing group (GRE). The most highly expressed gene in the mammary gland at the fifth week of lactation is CAAT/ enhancer- binding protein beta (CEBPB), possibly due to its role in milk fat synthesis in the mammary gland. More stable housekeeping genes in the ovine mammary gland that would be appropriate for use in gene expression studies were ribosomal protein L19 (RPL19) and glyceraldehyde- 3- phosphate dehydrogenase (GAPDH). Conclusions: Small changes in diet, such as the forage preservation (grazing vs. hay), can affect the milk fatty acid profile and the expression of the CPT1B gene, which is associated with the oxidation of fatty acids. When compared to hay fed indoors, grazing fresh low mountain pastures stimulates the milk content of CLA and LCFA via mammary uptake. In this sense, LCFA in milk may be acting as a regulatory factor for transcriptional control of the CPT1B gene, which was more highly expressed in the grazing group.

Molecular method for the characterization of Coxiella burnetii from clinical and environmental samples: variability of genotypes in Spain

Background: Coxiella burnetii is a highly clonal microorganism which is difficult to culture, requiring BSL3 conditions for its propagation. This leads to a scarce availability of isolates worldwide. On the other hand, published methods of characterization have delineated up to 8 different genomic groups and 36 genotypes. However, all these methodologies, with the exception of one that exhibited limited discriminatory power (3 genotypes), rely on performing between 10 and 20 PCR amplifications or sequencing long fragments of DNA, which make their direct application to clinical samples impracticable and leads to a scarce accessibility of data on the circulation of C. burnetii genotypes. Results: To assess the variability of this organism in Spain, we have developed a novel method that consists of a multiplex (8 targets) PCR and hybridization with specific probes that reproduce the previous classification of this organism into 8 genomic groups, and up to 16 genotypes. It allows for a direct haracterization from clinical and environmental samples in a single run, which will help in the study of the different genotypes circulating in wild and domestic cycles as well as from sporadic human cases and outbreaks. The method has been validated with reference isolates. A high variability of C. burnetii has been found in Spain among 90 samples tested, detecting 10 different genotypes, being those adaA negative associated with acute Q fever cases presenting as fever of intermediate duration with liver involvement and with chronic cases. Genotypes infecting humans are also found in sheep, goats, rats, wild boar and ticks, and the only genotype found in cattle has never been found among our clinical samples. Conclusions: This newly developed methodology has permitted to demonstrate that C. burnetii is highly variable in Spain. With the data presented here, cattle seem not to participate in the transmission of C. burnetii to humans in the samples studied, while sheep, goats, wild boar, rats and ticks share genotypes with the human population.

An embedded real-time red peach detection system based on an OV7670 camera, ARM Cortex-M4 processor and 3D Look-Up Tables

This work proposes the development of an embedded real-time fruit detection system for future automatic fruit harvesting. The proposed embedded system is based on an ARM Cortex-M4 (STM32F407VGT6) processor and an Omnivision OV7670 color camera. The future goal of this embedded vision system will be to control a robotized arm to automatically select and pick some fruit directly from the tree. The complete embedded system has been designed to be placed directly in the gripper tool of the future robotized harvesting arm. The embedded system will be able to perform real-time fruit detection and tracking by using a three-dimensional look-up-table (LUT) defined in the RGB color space and optimized for fruit picking. Additionally, two different methodologies for creating optimized 3D LUTs based on existing linear color models and fruit histograms were implemented in this work and compared for the case of red peaches. The resulting system is able to acquire general and zoomed orchard images and to update the relative tracking information of a red peach in the tree ten times per second.

Definition of linear color models in the RGB vector color space to detect red peaches in orchard images taken under natural illumination

This work proposes the detection of red peaches in orchard images based on the definition of different linear color models in the RGB vector color space. The classification and segmentation of the pixels of the image is then performed by comparing the color distance from each pixel to the different previously defined linear color models. The methodology proposed has been tested with images obtained in a real orchard under natural light. The peach variety in the orchard was the paraguayo (Prunus persica var. platycarpa) peach with red skin. The segmentation results showed that the area of the red peaches in the images was detected with an average error of 11.6%; 19.7% in the case of bright illumination; 8.2% in the case of low illumination; 8.6% for occlusion up to 33%; 12.2% in the case of occlusion between 34 and 66%; and 23% for occlusion above 66%. Finally, a methodology was proposed to estimate the diameter of the fruits based on an ellipsoidal fitting. A first diameter was obtained by using all the contour pixels and a second diameter was obtained by rejecting some pixels of the contour. This approach enables a rough estimate of the fruit occlusion percentage range by comparing the two diameter estimates.