ASLP-MULAN: Audio speech and language processing for multimedia analytics

Our intention is generating the right mixture of audio, speech and language technologies with big data ones. Some audio, speech and language automatic technologies are available or gaining enough degree of maturity as to be able to help to this objective: automatic speech transcription, query by spoken example, spoken information retrieval, natural language processing, unstructured multimedia contents transcription and description, multimedia files summarization, spoken emotion detection and sentiment analysis, speech and text understanding, etc. They seem to be worthwhile to be joined and put at work on automatically captured data streams coming from several sources of information like YouTube, Facebook, Twitter, online newspapers, web search engines, etc. to automatically generate reports that include both scientific based scores and subjective but relevant summarized statements on the tendency analysis and the perceived satisfaction of a product, a company or another entity by the general population

Relationship between damage and mortality in juvenile-onset systemic lupus erythematosus: Cluster analyses in a large cohort from the Spanish Society of Rheumatology Lupus Registry (RELESSER)

Objectives: To identify patterns (clusters) of damage manifestation within a large cohort of juvenile SLE (jSLE) patients and evaluate their possible association with mortality. Methods: This is a multicentre, descriptive, cross-sectional study of a cohort of 345 jSLE patients from the Spanish Society of Rheumatology Lupus Registry. Organ damage was ascertained using the Systemic Lupus International Collaborating Clinics Damage Index. Using cluster analysis, groups of patients with similar patterns of damage manifestation were identified and compared. Results: Mean age (years) ± S.D. at diagnosis was 14.2 ± 2.89; 88.7% were female and 93.4% were Caucasian. Mean SLICC/ACR DI ± S.D. was 1.27 ± 1.63. A total of 12 (3.5%) patients died. Three damage clusters were identified: Cluster 1 (72.7% of patients) presented a lower number of individuals with damage (22.3% vs. 100% in Clusters 2 and 3, P < 0.001); Cluster 2 (14.5% of patients) was characterized by renal damage in 60% of patients, significantly more than Clusters 1 and 3 (P < 0.001), in addition to increased more ocular, cardiovascular and gonadal damage; Cluster 3 (12.7%) was the only group with musculoskeletal damage (100%), significantly higher than in Clusters 1 and 2 (P < 0.001). The overall mortality rate in Cluster 2 was 2.2 times higher than that in Cluster 3 and 5 times higher than that in Cluster 1 (P < 0.017 for both comparisons). Conclusions: In a large cohort of jSLE patients, renal and musculoskeletal damage manifestations were the two dominant forms of damage by which patients were sorted into clinically meaningful clusters. We found two clusters of jSLE with important clinical damage that were associated with higher rates of mortality, especially for the cluster of patients with predominant renal damage. Physicians should be particularly vigilant to the early prevention of damage in this subset of jSLE patients with kidney involvement

Associated factors to serious infections in a large cohort of juvenile-onset systemic lupus erythematosus from Lupus Registry (RELESSER).

Objective: To assess the incidence of serious infection (SI) and associated factors in a large juvenile-onset systemic lupus erythematosus (jSLE) retrospective cohort. Methods: All patients in the Spanish Rheumatology Society Lupus Registry (RELESSER) who meet =4 ACR-97 SLE criteria and disease onset <18 years old (jSLE), were retrospectively investigated for SI (defined as either the need for hospitalization with antibacterial therapy for a potentially fatal infection or death caused by the infection). Standardized SI rate was calculated per 100 patient years. Patients with and without SI were compared. Bivariate and multivariate logistic and Cox regression models were built to calculate associated factors to SI and relative risks. Results: A total of 353 jSLE patients were included: 88.7% female, 14.3 years (± 2.9) of age at diagnosis, 16.0 years (± 9.3) of disease duration and 31.5 years (±10.5) at end of follow-up. A total of 104 (29.5%) patients suffered 205 SI (1, 55.8%; 2-5, 38.4%; and =6, 5.8%). Incidence rate was 3.7 (95%CI: 3.2–4.2) SI per 100 patient years. Respiratory location and bacterial infections were the most frequent. Higher number of SLE classification criteria, SLICC/ACR DI score and immunosuppressants use were associated to the presence of SI. Associated factors to shorter time to first infection were higher number of SLE criteria, splenectomy and immunosuppressants use. Conclusions: The risk of SI in jSLE patients is significant and higher than aSLE. It is associated to higher number of SLE criteria, damage accrual, some immunosuppressants and splenectomy

Central nervous system involvement in systemic lupus erythematosus: data from the Spanish Society of Rheumatology Lupus Register (RELESSER)

Objectives: To analyze the prevalence, incidence, survival and contribution on mortality of major central nervous system (CNS) involvement in systemic lupus erythematosus (SLE). Methods: Patients fulfilling the SLE 1997 ACR classification criteria from the multicentre, retrospective RELESSER-TRANS (Spanish Society of Rheumatology Lupus Register) were included. Prevalence, incidence and survival rates of major CNS neuropsychiatric (NP)-SLE as a group and the individual NP manifestations cere-brovascular disease (CVD), seizure, psychosis, organic brain syndrome and transverse myelitis were calculated. Furthermore, the contribution of these manifestations on mortality was analysed in Cox regression models adjusted for confounders. Results: A total of 3591 SLE patients were included. Of them, 412 (11.5%) developed a total of 522 major CNS NP-SLE manifestations. 61 patients (12%) with major CNS NP-SLE died. The annual mortality rate for patients with and without ever major CNS NP-SLE was 10.8% vs 3.8%, respectively. Individually, CVD (14%) and organic brain syndrome (15.5%) showed the highest mortality rates. The 10% mortality rate for patients with and without ever major CNS NP-SLE was reached after 12.3 vs 22.8 years, respectively. CVD (9.8 years) and organic brain syndrome (7.1 years) reached the 10% mortality rate earlier than other major CNS NP-SLE manifestations. Major CNS NP-SLE (HR 1.85, 1.29-2.67) and more specifically CVD (HR 2.17, 1.41-3.33) and organic brain syndrome (HR 2.11, 1.19-3.74) accounted as independent prognostic factors for poor survival. Conclusion: The presentation of major CNS NP-SLE during the disease course contributes to a higher mortality, which may differ depending on the individual NP manifestation. CVD and organic brain syndrome are associated with the highest mortality rates.Pathophysiology and treatment of rheumatic disease

Virtualización del Título Propio en Olivicultura y Elaiotecnia. Elaboración de Materiales

Es conocido que España es primer país productor de aceite de oliva del mundo, con un 40 % de la producción mundial y el 50 % de la producción de la Unión Europea, siendo la provincia de Jaén, con el 38,4 % de la producción española, la mayor zona productora del mundo en aceite de oliva. Sin embargo, se trata de un sector en el que la escasa profesionalización es, tal vez, su mayor debilidad.La Universidad de Jaén, consciente del importante papel que ha de jugar como Institución dinamizadora del desarrollo de su entorno, en el que el sector del olivar y del aceite de oliva tiene una enorme importancia, considera que es urgente formar titulados universitarios de grado superior que posean conocimientos integrales y solventes en olivicultura y elaiotecnia de modo que incorporados a las empresas del sector del olivar y el aceite de oliva o creando las suyas propias, lo modernicen y desarrollen, contribuyendo a dotarlo de cultura empresarial y al desarrollo socioeconómico y, por ende, al bienestar de los ciudadanos de la provincia

Travelling Ionospheric Disturbances studied in the EU H2020 TechTIDE project

Travelling Ionospheric Disturbances (TIDs) are propagating wavelike disturbances in the ionosphere electron density, which are signatures of atmospheric gravity waves that are active in the thermosphere. These waves are either generated in the thermosphere through intensive energy input from the solar wind or the solar terminator, or they are generated in the lower and middle atmosphere and propagate upwards into the thermosphere. Prominent sources of gravity wave which reach the thermosphere are earthquakes and tropical thunderstorms. Usually, gravity waves originating in the atmosphere below have smaller scales than those originating in the thermosphere. The corresponding TIDs are referred to as Medium Scale TIDs and Large Scale TIDs (LSTIDs). The EU Horizon 2020 project "Warning and Mitigation Technologies for Travelling Ionospheric Disturbances Effects - TechTIDE" implements a few different techniques for the detection of MS- and LSTIDs in the different layers of the ionosphere. They are based on different instruments and algorithms and deliver a comprehensive view on the TID activity in Europe and South Africa. The results of the different approaches will be presented for a case study for the September 2017 Space Weather event

Patterns of ambulatory dispersal in Tetranychus urticae can be associated with host plant specialization

Dispersal can be an essential factor affecting the biological control of pests. Tetranychus urticae Koch (Acari: Tetranychidae) is a cosmopolitan and polyphagous species that may reach the pest status in many cropping systems including clementine orchards, where it may be found both in the trees and the associated flora. In a previous study, we demonstrated that the use of a ground cover of Festuca arundinacea Schreber (Poaceae) offered a better regulation of T. urticae populations than traditional alternatives (bare soil, multifloral wild cover). Therefore, we decided to study the ambulatory dispersal of mites crawling up and down tree trunks in a clementine mandarin orchard grown in association with a F. arundinacea cover for one season. The highest ambulatory migration rate was upward from the cover to the canopy. Multivariate regressions showed that the dynamics of T. urticae populations in the trees was strongly related to that of Phytoseiidae mites, their main natural predators. Surprisingly, canopy populations were not related to those on the ground cover or to those dispersing from it. When T. urticae individuals collected from the ground cover, the tree trunk, and the canopy were subjected to molecular analyses, the optimal number of genetic clusters (demes) was two. One cluster grouped individuals dispersed from the ground cover (e.g. collected on tree trunks) and 27.5 % of individuals collected in the ground cover. The second cluster grouped all the individuals collected from trees and 72.5 % of those collected in the cover. Interestingly, none of the individuals collected from the tree canopies was grouped with the first deme. This result may be taken as indicative that grass-adapted T. urticae individuals are unable to satisfactorily colonize and establish on the trees and provides evidence that host adaptation can hamper dispersal and establishment of the ground cover deme on trees, contributing to a better natural regulation of this pest species in citrus

Identification and monitoring techniques of TIDs in the H2020 TechTIDE project

Traveling Ionospheric Disturbances (TIDs) are wave-like propagating irregularities that alter the electron density environment and play an important role spreading radio signals propagating through the ionosphere. TechTIDE project, funded by the European Commission Horizon 2020 research and innovation program, is establishing a pre-operational system to issue warnings of the occurrence of TIDs over the region extended from Europe to South Africa based on the reliability of a set of TID detection methodologies. This contribution aims at presenting the different methods and techniques of identification and tracking the activity of TIDs and their respective performance, that serve to feed the warning system of TechTIDE