Uso de nanodiscos de anfotericina B (AMB-NDs) para el tratamiento de enfermedades fúngicas en plantas

III Encuentro sobre Nanociencia y Nanotecnología de Investigadores y Tecnólogos Andaluce

Macro- and Microscopic Characterization of Components of Resistance against Puccinia striiformis f. sp. tritici in a Collection of Spanish Bread Wheat Cultivars

Yellow (stripe) rust, caused by the biotrophic fungus Puccinia striiformis f. sp. tritici (Pst), stands as the most serious wheat disease worldwide, affecting approximately 88% of world wheat production. Even though yellow rust generally develops in cool humid weather conditions, the expansion of new races adapted to warmer climates threatens zones where severe P. striiformis epidemics were infrequent, such as Andalusian wheat cropping areas. In order to characterize yellow rust resistance mechanisms in Spanish germplasm, our study evaluated 19 Spanish bread wheat cultivars against P. striiformis under controlled conditions for percentage of disease severity (DS) and infection type (IT). From this visual evaluation, 74% of evaluated cultivars showed resistant responses against P. striiformis infection with only five cultivars considered susceptible. Subsequently, macroscopic and microscopic components of resistance were identified through image analysis and histological studies, respectively, in six selected cultivars. Macroscopic parameters such as total pustule area and total affected area (%), together with microscopic parameters such as early-aborted and established microcolonies regarding plant cell death responses (%), and microcolony length (µm), were identified as capable of differentiating cultivars quantitatively. Thus, these parameters could be used as a basis for screening resistant responses in future breeding programs, complementary to physiology, genetic and biochemical studies of plant-Pst interaction. Finally, our study seems to be the first macroscopic and microscopic characterization of P. striiformis infection in a collection of Spanish bread wheat cultivars in controlled conditions

Vehicle Classification in Traffic Environments Using the Growing Neural Gas

Traffic monitoring is one of the most popular applications of automated video surveillance. Classification of the vehicles into types is important in order to provide the human traffic controllers with updated information about the characteristics of the traffic flow, which facilitates their decision making process. In this work, a video surveillance system is proposed to carry out such classification. First of all, a feature extraction process is carried out to obtain the most significant features of the detected vehicles. After that, a set of Growing Neural Gas neural networks is employed to determine their types. A qualitative and quantitative assessment of the proposal is carried out on a set of benchmark traffic video sequences, with favorable results.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Absorción y traslocación a la parte aérea de nanopartículas magnéticas a través de la raíz de diferentes cultivos

III Encuentro sobre Nanociencia y Nanotecnología de Investigadores y Tecnólogos Andaluce

Industrial context in competitiveness: manufacturing and production technology strategy

Las fábricas tienen que implementar programas de operaciones, con el fin de no sólo mejorar la competitividad, sino también de mantener una mejora continua que les permita enfrentar los desafíos por los cambios constantes del contexto industrial. Entre dichos programas, la gestión de tecnología (GT) y la estrategia de manufactura (EM) podrían ser un factor de importancia para mejorar la competitividad. El propósito de este estudio es verificar empíricamente la relación entre ambos programas en las industrias de maquinaria y electrónica, tomando en cuenta algunas variables contextuales. Para evaluar las hipótesis establecidas, usamos la base de datos del proyecto internacional de Manufactura de Alto Rendimiento (por sus siglas en inglés, HPM) y análisis de regresión jerárquico. Los hallazgos muestran que para ambos sectores la incorporación de GT mejoró la competitividad. Sin embargo, solo una de las variables contextuales, capacidad productiva de la fábrica, tiene una relación consistente con la competitividad en el sector de electrónica.The factories must implement operations programs, in order not only to improve competitiveness, but also to maintain a continuous improvement that allows them to face the challenges due to the constant changes in the industrial context. Among such programs, technology management (GT) and manufacturing strategy (EM) could be an important factor in improving competitiveness. The purpose of this study is to verify empirically the relationship between both programs in the machinery and electronics industries, considering some contextual variables. To evaluate the established hypotheses, we use the database of the international project of High Performance Manufacturing (HPM) and hierarchical regression analysis. The findings show that for both sectors the incorporation of GT improved competitiveness. However, only one of the contextual variables, productive capacity of the factory, has a consistent relationship with competitiveness in the electronics sector.Instituto de Investigaciones Económicas y Sociales de la Universidad Nacional Autónoma de Honduras (UNAH) “PAR”Junta de Andalucía (Proyecto 2015-148-US) “Acción especial” SGUIT (SBAPA-2015-06)Junta de Andalucía (España) PAIDI Proyectos de Excelencia P08-SEJ-03841Programa Nacional de Diseño y Producción Industrial de España DPI-200

Efecto del nivel de fibra soluble y de la relación omega-6/omega-3 sobre la colonización microbiana en gazapos lactantes

El objetivo de este trabajo fue estudiar el efecto de la fibra soluble y la relación n-6/n-3 sobre la microbiota de las heces y la leche de las conejas y los nódulos linfáticos mesentéricos (NLM) de los gazapos en la primera semana de gestación

Gene Expression Pattern in Olive Tree Organs (Olea europaea L.)

peer-reviewedThe olive tree (Olea europaea L.) was one of the first plant species in history to be domesticated. Throughout olive domestication, gene expression has undergone drastic changes that may affect tissue/organ-specific genes. This is an RNA-seq study of the transcriptomic activity of different tissues/organs from adult olive tree cv. “Picual” under field conditions. This analysis unveiled 53,456 genes with expression in at least one tissue, 32,030 of which were expressed in all organs and 19,575 were found to be potential housekeeping genes. In addition, the specific expression pattern in each plant part was studied. The flower was clearly the organ with the most exclusively expressed genes, 3529, many of which were involved in reproduction. Many of these organ-specific genes are generally involved in regulatory activities and have a nuclear protein localization, except for leaves, where there are also many genes with a plastid localization. This was also observed in stems to a lesser extent. Moreover, pathogen defense and immunity pathways were highly represented in roots. These data show a complex pattern of gene expression in different organs, and provide relevant data about housekeeping and organ-specific genes in cultivated olive

Efficacy and safety of the combination of reduced duration prophylaxis followed by immuno-guided prophylaxis to prevent cytomegalovirus disease in lung transplant recipients (CYTOCOR STUDY) : An open-label, randomised, non-inferiority clinical trial

Introduction Prolonged use of antivirals to prevent the development of cytomegalovirus (CMV) disease in lung transplant patients has been shown to have significant side effects, for which alternatives are being sought to reduce their use. The monitoring of cell immunity against CMV could be an alternative as it has shown to be useful in identifying transplant patients at low risk of infection, who could benefit from shorter prophylaxis. The aim of the CYTOCOR study is to demonstrate that the combination of a reduced prophylaxis strategy with subsequent CMV-specific immunological monitoring would allow CMV infection to be controlled in lung transplant patients as effectively as the usual strategy (prophylaxis followed by pre-emptive therapy), while reducing the side effects of antivirals due to the shorter duration of prophylaxis. Methods and analysis Phase III randomised, open, multicentre, parallel, non-inferiority clinical trial to study the efficacy and safety of the combination of a prophylaxis strategy up to month +3 post-transplant followed by immuno-guided prophylaxis using the QuantiFERON-CMV technique up to month +12 post-transplant to prevent CMV disease in CMV-seropositive lung transplant recipients. This strategy will be compared with a combination of a usual prophylaxis strategy up to month +6 post-transplant followed by pre-emptive therapy up to month +12. To study the incidence of CMV disease, patients will be followed up to 18 months post-transplantation. A total of 150 patients are expected to be recruited for the study. Ethics and public dissemination The clinical trial has been approved by the Research Ethics Committees and authorised by the Spanish Agency of Medicines and Medical Devices (AEMPS). If the hypothesis of this clinical trial is verified, the dissemination of the results could change clinical practice by increasing knowledge about the safety and efficacy of discontinuing valganciclovir prophylaxis in lung transplant recipients. Trial registration number NCT03699254

Buenas prácticas de transferencia del conocimiento en la Universidad de Córdoba

La iniciativa consiste en proporcionar la materia prima. El proyecto, que se ha realizado con cerdos y ha tenido una duración de tres años, demuestra que la administración de Cardiotrofina-1 en el transplante hepático incrementa la supervivencia del animal, mejora su función cardiaca, respiratoria y renal, y también consigue reducir el daño hepatocelecuar y el estrés oxidativo y nitrosativo en el injerto

A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data.

Brain metastasis (BM) is one of the main complications of many cancers, and the most frequent malignancy of the central nervous system. Imaging studies of BMs are routinely used for diagnosis of disease, treatment planning and follow-up. Artificial Intelligence (AI) has great potential to provide automated tools to assist in the management of disease. However, AI methods require large datasets for training and validation, and to date there have been just one publicly available imaging dataset of 156 BMs. This paper publishes 637 high-resolution imaging studies of 75 patients harboring 260 BM lesions, and their respective clinical data. It also includes semi-automatic segmentations of 593 BMs, including pre- and post-treatment T1-weighted cases, and a set of morphological and radiomic features for the cases segmented. This data-sharing initiative is expected to enable research into and performance evaluation of automatic BM detection, lesion segmentation, disease status evaluation and treatment planning methods for BMs, as well as the development and validation of predictive and prognostic tools with clinical applicability