Criterios e indicadores para la formulación de un obsevatorio de desarrollo territorial de las relaciones entre agua, agricultura y paisaje

This article presents an «objective-model» of a Spatial Development Observatory of the relationships between water, agricultura and landscape. This is based on the new principles and models on spatial planning coming from the «European Spatial Strategy» (EC, 1999), the principles of the «New Water Culture», and the increasing interest on designing and applying indicator systems as a tool to assess environmental processes. The main contributions related to the stablishment of objectives, criteria and functions of the Observatory, and to the set of indicators provided to describe the key factors according to the relationship between water and territory. The development of new tools like the described one is essential for an effective implementation of the information provided for the decision making process. It is also very usefull to innovate in the gobernance, participation and integration between sectoral planning (hydrologic) and spatial plannin

Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches

This work has been partially supported by the Project PID2021-128317OB-I0, funded by the MCIN/AEI/ 10.13039/501100011033 and ‘‘ERDF A way of making Europe". Funding for open access charge: Universidad de Granada / CBUA. All authors approved the final version of manuscript to be published.Cancer disease is one of the most important pathologies in the world, as it causes the death of millions of people, and the cure of this disease is limited in most cases. Rapid spread is one of the most important features of this disease, so many efforts are focused on its early-stage detection and localization. Medicine has made numerous advances in the recent decades with the help of artificial intelligence (AI), reducing costs and saving time. In this paper, deep learning models (DL) are used to present a novel method for detecting and localizing cancerous zones in WSI images, using tissue patch overlay to improve performance results. A novel overlapping methodology is proposed and discussed, together with different alternatives to evaluate the labels of the patches overlapping in the same zone to improve detection performance. The goal is to strengthen the labeling of different areas of an image with multiple overlapping patch testing. The results show that the proposed method improves the traditional framework and provides a different approach to cancer detection. The proposed method, based on applying 3x3 step 2 average pooling filters on overlapping patch labels, provides a better result with a 12.9% correction percentage for misclassified patches on the HUP dataset and 15.8% on the CINIJ dataset. In addition, a filter is implemented to correct isolated patches that were also misclassified. Finally, a CNN decision threshold study is performed to analyze the impact of the threshold value on the accuracy of the model. The alteration of the threshold decision along with the filter for isolated patches and the proposed method for overlapping patches, corrects about 20% of the patches that are mislabeled in the traditional method. As a whole, the proposed method achieves an accuracy rate of 94.6%.MCIN/AEI/ 10.13039/501100011033/ PID2021-128317OB-I0ERDF A way of making EuropeUniversidad de Granada / CBU

Estudio de la Producción Polínica del olivo (Olea europaea L.)

Las plantas anemófilas han tenido que desarrollar diferentes estrategias reproductoras para asegurar la fecundación debido al elevado grado de imprecisión del vector polinizante, como por ejemplo aumentar la tasa de producción polínica, determinada principalmente por el número de granos de polen que produce cada antera y por del número total de flores producidas por la planta.Existen diversos estudios realizados sobre producción polínica en diferentes especies vegetales, tanto en gimnospermas (Allison, T.D, 1990, Ecology, 71:516-522) como en angiospermas (Gómez-Casero et al., 2004, Grana, 43: 1-9; Rovira, M & Tous, J., Producción y viabilidad del polen, en : Variedades del olivo en España, 1ª Ed. 2005, Ed. Junta de Andalucía, Ministerio de Agricultura, Pesca y Alimentación y Ediciones Mundi-Prensa, España, pp 295-300), que demuestran que los diferentes procesos fisiológicos relacionados con la biología floral, como es el caso de la producción de polen, son de gran importancia en el buen desarrollo de la cosecha final en plantas cultivadas, y que esta capacidad se encuentra condicionada por factores genéticos y fisiológicos, además de por factores meteorológicos, que influyen tanto en la duración de la floración como en la tasa de producción de polen (Fornaciari et al., 1997, Agr. Med, 127: 134-137; Galán et al, 2008, Agr. Journal, 100: 98-104). El presente trabajo está basado en el estudio de la producción polínica del olivo (Olea europaea L.), especie cultivada de gran importancia para la economía y ampliamente distribuida en la provincia de Jaén. Las observaciones fueron realizadas sobre árboles localizados en zonas con diferente altitud con el fin de comprobar si existe influencia por parte de ésta en el proceso de producción de polen.Los resultados obtenidos arrojan evidencias de la existencia de una producción neta diferencial de flores y polen en función de la altitud, siendo los olivos localizados a mayor altitud los que presentan una mayor tasa de producción polínica, ya que, a pesar de ser los que producen menos cantidad de polen por antera y flor, compensan éste hecho con una mayor producción de brotes, racimos y flores

Agua agricultura y paisaje en mediterráneo: el caso de Granada. Guía de buenas prácticas

I Congreso Andaluz de Desarrollo Sostenible – V Congreso Andaluz de Ciencias Ambientale

Intelligent system based on genetic programming for atrial fibrillation classification

This article focuses on the development of intelligent classifiers in the area of biomedicine, focusing on the problem of diagnosing cardiac diseases based on the electrocardiogram (ECG), or more precisely, on the differentiation of the types of atrial fibrillations. First of all, we will study the ECG, and the treatment of the ECG in order to work with it with this specific pathology. In order to achieve this we will study different ways of elimination, in the best possible way, of any activity that is not caused by the auriculars. We will study and imitate the ECG treatment methodologies and the characteristics extracted from the electrocardiograms that were used by the researchers who obtained the best results in the Physionet Challenge, where the classification of ECG recordings according to the type of atrial fibrillation (AF) that they showed, was realized. We will extract a great amount of characteristics, partly those used by these researchers and additional characteristics that we consider to be important for the distinction previously mentioned. A new method based on evolutionary algorithms will be used to realize a selection of the most relevant characteristics and to obtain a classifier that will be capable of distinguishing the different types of this pathology

Ecoestructura y multifuncionalidad del paisaje agrourbano

The Guadalfeo’s Vega belonging to the Granada’s Province is a Mediterranean litoral heritage under pressure during the last decades due to the planned and unplanned growth of urban and touristic land uses. The first step to overcome the crisis of these territories is the renewal approach of the agrourban landscape which means a complex focus. The agrourban landscape is a new scenario or evolutionary spatio-temporal gradient where urban and agrarian land-uses interweaving new functions. This special condition of Guadalfeo’s Vega may be addressed in a positive way by means of the pro-active tools of the ecoestructure and the multifunctionality.The positive feed-back between multifuncionality and ecostructure would be the main resource to encourage and design a hybrid strategy for the environmental planning. That’s the challenge for the decades ahead, balancing with success nature and city in the agrourban landscapes.La Vega del Guadalfeo, dentro de la Provincia de Granada, es un patrimonio litoral mediterráneo bajo presión en las últimas décadas debido a, tanto al planificado como al no planificado, crecimiento urbano y turístico. El primer paso para superar la crisis de estos territorios es la visión renovadora del paisaje agrourbano, que implica un enfoque complejo. El paisaje agrourbano es un nuevo escenario o gradiente espacio-temporal evolucionado, donde los usos urbanos y agrarios entretejen nuevas funciones. Esta singular condición de la Vega del Guadalfeo puede ser orientada positivamente a través de instrumentos proactivos como la ecoestructura y la multifuncionalidad.La positiva interacción entre multifuncionalidad y ecoestructura sería el principal recurso para promover y diseñar una estrategia híbrida de planificación ambiental. Ese es el desafío para las décadas venideras, intentando equilibrar naturaleza y ciudad en los paisajes agrourbanos

Technical note: A mobile collaborative workspace to assist forensic experts in disaster victim identification scenarios

Integrated approaches to disaster victim identification (DVI) management have led to a need for technologies to improve interaction among parties involved in post-mortem (PM) and ante-mortem (AM) data collection through better communication and coordination. Mobile Forensic Workspace© (MFW) is a collaborative mobile system that not only facilitates the systematic collection of high-quality data, but also allows DVI professionals to coordinate activities and exchange data through secure real-time communication at major disaster scenarios in accordance with security, privacy and legal protocols. MFW is adaptable to any communication format (text, voice calls, photographs, etc.) and is dynamically self-reconfigurable when connectivity problems arise. It also allows data integration and backup through secure communication channels between local and remote servers. The feasibility of the system has been demonstrated through implementation of MFW on the iOS platform for iPhone, iPod Touch and iPad terminals. A further strength of MFW is that it provides out-of-the-box support for INTERPOL DVI forms. The application of information and communication technologies for DVI was shown to be useful in improving DVI management by enhancing the quality of data collection and enabling non-Internet dependent real-time data sharing and communication

Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level

In more recent years, a significant increase in the number of available biological experiments has taken place due to the widespread use of massive sequencing data. Furthermore, the continuous developments in the machine learning and in the high performance computing areas, are allowing a faster and more efficient analysis and processing of this type of data. However, biological information about a certain disease is normally widespread due to the use of different sequencing technologies and different manufacturers, in different experiments along the years around the world. Thus, nowadays it is of paramount importance to attain a correct integration of biologically-related data in order to achieve genuine benefits from them. For this purpose, this work presents an integration of multiple Microarray and RNA-seq platforms, which has led to the design of a multiclass study by collecting samples from the main four types of leukemia, quantified at gene expression. Subsequently, in order to find a set of differentially expressed genes with the highest discernment capability among different types of leukemia, an innovative parameter referred to as coverage is presented here. This parameter allows assessing the number of different pathologies that a certain gen is able to discern. It has been evaluated together with other widely known parameters under assessment of an ANOVA statistical test which corroborated its filtering power when the identified genes are subjected to a machine learning process at multiclass level. The optimal tuning of gene extraction evaluated parameters by means of this statistical test led to the selection of 42 highly relevant expressed genes. By the use of minimum- Redundancy Maximum-Relevance (mRMR) feature selection algorithm, these genes were reordered and assessed under the operation of four different classification techniques. Outstanding results were achieved by taking exclusively the first ten genes of the ranking into consideration. Finally, specific literature was consulted on this last subset of genes, revealing the occurrence of practically all of them with biological processes related to leukemia. At sight of these results, this study underlines the relevance of considering a new parameter which facilitates the identification of highly valid expressed genes for simultaneously discerning multiple types of leukemia.This work was supported by Project TIN2015-71873-R (Spanish Ministry of Economy and Competitiveness -MINECO- and the European Regional Development Fund -ERDF) and Junta de Andalucı´a (P12–TIC–2082)