A Unified Metamodel for NoSQL and Relational Databases.

The Database field is undergoing significant changes. Although relational systems are still predominant, the interest in NoSQL systems is continuously increasing. In this scenario, polyglot persistence is envisioned as the database architecture to be prevalent in the future. Therefore, database tools and systems are evolving to support several data models. Multi-model database tools normally use a generic or unified metamodel to represent schemas of the data model that they support. Such metamodels facilitate developing database utilities, as they can be built on a common representation. Also, the number of mappings required to migrate databases from a data model to another is reduced, and integrability is favored. In this paper, we present the U-Schema unified metamodel able to represent logical schemas for the four most popular NoSQL paradigms (columnar, document, key–value, and graph) as well as relational schemas. We will formally define the mappings between U-Schema and the data model defined for each database paradigm. How these mappings have been implemented and validated will be discussed, and some applications of USchema will be shown. To achieve flexibility to respond to data changes, most of NoSQL systems are “schema-on-read,” and the declaration of schemas is not required. Such an absence of schema declaration makes structural variability possible, i.e., stored data of the same entity type can have different structure. Moreover, data relationships supported by each data model are different; For example, document stores have aggregate objects but not relationship types, whereas graph stores offer the opposite. Throughout the paper, we will show how all these issues have been tackled in our approach.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Editorial

La evolución provocada en los últimos años por tecnologías como los componentes y los servicios Web está motivando el desarrollo de nuevos procesos productivos. El tejido empresarial debe adaptar los negocios a esta nueva era de globalidad, requiriendo nuevos servicios que cubran las necesidades que los clientes exigen. Estos servicios y los sistemas software que manejan los procesos productivos de las empresas deben ser desarrollados y adaptados en un corto espacio de tiempo para cubrir las necesidades del mercado. La sociedad del conocimiento a la cual nos acercamos requiere, por lo tanto, cada vez más de un aprovechamiento exhaustivo de todos los recursos disponibles. En este sentido, las utilización, generación y explotación de nuevas tecnologías se convierten en aspectos fundamentales del desarrollo económico y social en la actualidad. Sin embargo, conseguir unos estándares de utilización de nuevas tecnologías, y concretamente en tecnologías de la información, resulta una tarea idealista y casi utópica. Prueba de ello la encontramos actualmente en dos de estas nuevas tecnologías, componentes software y servicios Web, que se están convirtiendo en la punta de lanza.The evolution caused in recent years by technologies such as components and Web services is motivating the development of new production processes. The business fabric must adapt business to this new era of globality, requiring new services that meet the needs that customers demand. These services and the software systems that manage the productive processes of the companies must be developed and adapted in a short space of time to cover the needs of the market. The knowledge society to which we are approaching requires, therefore, more and more use exhaustive of all available resources. In this sense, the use, generation and exploitation of new technologies become fundamental aspects of economic and social development today. Without However, to achieve standards for the use of new technologies, and specifically in information technology, it is an idealistic and almost utopian task. proof of it We currently find it in two of these new technologies, software components and Web services, which are becoming the spearhead

Summary of conclusions

El taller sobre Nuevas Tecnologías de la Información: Componentes y Servicios Web, es un referente científico de primer orden en cuanto al estudio, implantación y perspectivas de las nuevas tecnologías de la información. En la edición de 2003 se debatieron temas tan interesantes actualmente para el mundo de la Ingeniería del Software como los siguientes: Componentes y tecnología grid, nuevas plataformas como OGSA; Interoperabilidad de componentes entre distintas plataformas; Calidad de servicio en componentes software; Búsqueda y recuperación de componentes en repositorios, búsquedas semánticas; Configuración de componentes; Adaptabilidad de sistemas software basados en componentes; Comparativa entre plataformas de componentes; Servicios web y su aplicabilidad en sistemas empresariales.The workshop on New Information Technologies: Components and Web Services, is a scientific reference of the first order in terms of the study, implementation and perspectives of the new information technologies. In the 2003 edition, topics as currently interesting for the world of Software Engineering such as the following: Components and grid technology, new platforms such as OGSA; Interoperability of components between different platforms; Quality of service in software components; Search and retrieval of components in repositories, semantic searches; Component configuration; Adaptability of software systems based on components; Comparison between component platforms; Web services and their applicability in business system

Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis

Non-Melanoma skin cancer is one of the most frequent types of cancer. Early detection is encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising technique for non-invasive inspection of skin lesions, however, the optimal wavelengths for these purposes are yet to be conclusively determined. A visible-near infrared hyperspectral camera with an ad-hoc built platform was used for image acquisition in the present study. Robust statistical techniques were used to conclude an optimal range between 573.45 and 779.88 nm to distinguish between healthy and non-healthy skin. Wavelengths between 429.16 and 520.17 nm were additionally found to be optimal for the differentiation between cancer types.Gerencia Regional de Salud de Castilla y León (GRS 2139/A/20); Spanish Ministry of Science, Innovation and Universities (PRE2019-089411); Instituto de Salud Carlos III (PI18/00587); Ibderdrola Spain; Junta de Castilla y León (GRS 1837/A/18). This project was funded by the Junta de Castilla y Leon, under the title project HYPERSKINCARE (Ref. GRS 1837/A/18). Lloyd Austin Courtenay is funded by the Spanish Ministry of Science, Innovation and Universities with an FPI Predoctoral Grant (Ref. PRE2019-089411) associated to project RTI2018-099850-B-I00 and the University of Salamanca. Susana Lagüela and Susana del Pozo are both funded by the Iberdrola Spain through the initiative Cátedra Iberdrola VIII Centenario of the University of Salamanca. Javier Cañueto is partially supported by the PI18/00587(Instituto de Salud Carlos III cofinanciado con fondos FEDER) and GRS 2139/A/20 (Gerencia Regional de Salud de Castilla y León

Deep Convolutional Neural Support Vector Machines for the Classification of Basal Cell Carcinoma Hyperspectral Signatures

[EN] Non-melanoma skin cancer, and basal cell carcinoma in particular, is one of the most common types of cancer. Although this type of malignancy has lower metastatic rates than other types of skin cancer, its locally destructive nature and the advantages of its timely treatment make early detection vital. The combination of multispectral imaging and artificial intelligence has arisen as a powerful tool for the detection and classification of skin cancer in a non-invasive manner. The present study uses hyperspectral images to discern between healthy and basal cell carcinoma hyperspectral signatures. Upon the combined use of convolutional neural networks, with a final support vector machine activation layer, the present study reaches up to 90% accuracy, with an area under the receiver operating characteristic curve being calculated at 0.9 as well. While the results are promising, future research should build upon a dataset with a larger number of patients.SIJunta de Castilla y Leo

Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis

[EN] Non-Melanoma skin cancer is one of the most frequent types of cancer. Early detection is encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising technique for non-invasive inspection of skin lesions, however, the optimal wavelengths for these purposes are yet to be conclusively determined. A visible-near infrared hyperspectral camera with an ad-hoc built platform was used for image acquisition in the present study. Robust statistical techniques were used to conclude an optimal range between 573.45 and 779.88 nm to distinguish between healthy and non-healthy skin. Wavelengths between 429.16 and 520.17 nm were additionally found to be optimal for the differentiation between cancer typesSIGerencia Regional de Salud de Castilla y LeónSpanish Ministry of Science, Innovation and UniversitiesInstituto de Salud Carlos IIIJunta de Castilla y Leó

Infrared-Emitting Multimodal Nanostructures for Controlled In Vivo Magnetic Hyperthermia

Deliberate and local increase of the temperature within solid tumors represents an effective therapeutic approach. Thermal therapies embrace this concept leveraging the capability of some species to convert the absorbed energy into heat. To that end, magnetic hyperthermia (MHT) uses magnetic nanoparticles (MNPs) that can effectively dissipate the energy absorbed under alternating magnetic fields. However, MNPs fail to provide real-time thermal feedback with the risk of unwanted overheating and impeding on-the-fly adjustment of the therapeutic parameters. Localization of MNPs within a tissue in an accurate, rapid, and cost-effective way represents another challenge for increasing the efficacy of MHT. In this work, MNPs are combined with state-of-the-art infrared luminescent nanothermometers (LNTh; Ag2S nanoparticles) in a nanocapsule that simultaneously overcomes these limitations. The novel optomagnetic nanocapsule acts as multimodal contrast agents for different imaging techniques (magnetic resonance, photoacoustic and near-infrared fluorescence imaging, optical and X-ray computed tomography). Most crucially, these nanocapsules provide accurate (0.2 degrees C resolution) and real-time subcutaneous thermal feedback during in vivo MHT, also enabling the attainment of thermal maps of the area of interest. These findings are a milestone on the road toward controlled magnetothermal therapies with minimal side effects.E.X. and R.M. contributed equally to this work. Work partially supported by the Ministerio de Ciencia, Innovación y Universidades (PID2019-106301RB-I00 and PID2019-105195RA-I00), by the Spanish Ministry of Economy and Competitiveness (MAT2017-85617-R, SEV-2016-0686), by the Comunidad de Madrid (RENIM-CM, B2017/BMD-3867, co-financed by the European Structural and Investment Fund; NANOMAGCOST-CM P2018/NMT-4321), by the European COST Actions CA17115 (MyWave) and CA17140 (Nano2Clinic), by the Spanish Scientific Network HiperNano (RED2018-102626-T) and by the European Commission Horizon 2020 project NanoTBTech (Grant Number: 801305). D.G.-C. acknowledges CAM for funding PEJ-2018-AI/IND-11245. A.B. acknowledges funding from Comunidad de Madrid through TALENTO grant ref. 2019-T1/IND-14014. E.X. is grateful for a Juan de la Cierva Formación scholarship (FJC2018-036734-I). R.M. acknowledges the support of the European Commission through the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant agreement N 797945 (LANTERNS). A. E. acknowledges the support from Comunidad de Madrid (Talento project 2018-T1/IND-1005) and from AECC (Ideas Semilla 2019 project). P.R.S. is grateful for a Juan de la Cierva Incorporación scholarship (IJC2019-041915-I). Procedures involving animal experiments were approved by the regional authority for animal experimentation of the Comunidad de Madrid and were conducted in agreement with the Universidad Autónoma de Madrid Ethics Committee, in compliance with the European Union directives 63/2010UE and Spanish regulation RD 53/2013

Present and future of parkinson’s disease in Spain: Parkinson-2030 delphi project

Parkinson’s disease (PD) is a chronic progressive and irreversible disease and the second most common neurodegenerative disease worldwide. In Spain, it affects around 120.000–150.000 individuals, and its prevalence is estimated to increase in the future. PD has a great impact on patients’ and caregivers’ lives and also entails a substantial socioeconomic burden. The aim of the present study was to examine the current situation and the 10-year PD forecast for Spain in order to optimize and design future management strategies. This study was performed using the modified Delphi method to try to obtain a consensus among a panel of movement disorders experts. According to the panel, future PD management will improve diagnostic capacity and follow-up, it will include multidisciplinary teams, and innovative treatments will be developed. The expansion of new technologies and studies on biomarkers will have an impact on future PD management, leading to more accurate diagnoses, prognoses, and individualized therapies. However, the socio-economic impact of the disease will continue to be significant by 2030, especially for patients in advanced stages. This study highlighted the unmet needs in diagnosis and treatment and how crucial it is to establish recommendations for future diagnostic and therapeutic management of PD.This project was funded by Zambon S.A.U