Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network

.In this work, a sentiment analysis method that is capable of accepting audio of any length, without being fixed a priori, is proposed. Mel spectrogram and Mel Frequency Cepstral Coefficients are used as audio description methods and a Fully Convolutional Neural Network architecture is proposed as a classifier. The results have been validated using three well known datasets: EMODB, RAVDESS and TESS. The results obtained were promising, outperforming the state-of–the-art methods. Also, thanks to the fact that the proposed method admits audios of any size, it allows a sentiment analysis to be made in near real time, which is very interesting for a wide range of fields such as call centers, medical consultations or financial brokers.S

Heart disease risk prediction using deep learning techniques with feature augmentation

[EN] Cardiovascular diseases state as one of the greatest risks of death for the general population. Late detection in heart diseases highly conditions the chances of survival for patients. Age, sex, cholesterol level, sugar level, heart rate, among other factors, are known to have an influence on life-threatening heart problems, but, due to the high amount of variables, it is often difficult for an expert to evaluate each patient taking this information into account. In this manuscript, the authors propose using deep learning methods, combined with feature augmentation techniques for evaluating whether patients are at risk of suffering cardiovascular disease. The results of the proposed methods outperform other state of the art methods by 4.4%, leading to a precision of a 90%, which presents a significant improvement, even more so when it comes to an affliction that affects a large population.SIPublicación en abierto financiada por el Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE), con cargo al Programa Operativo 2014ES16RFOP009 FEDER 2014-2020 DE CASTILLA Y LEÓN, Actuación:20007-CL - Apoyo Consorcio BUCL

Determining the severity of Parkinson’s disease in patients using a multi task neural network

[EN] Parkinson’s disease is easy to diagnose when it is advanced, but it is very difficult to diagnose in its early stages. Early diagnosis is essential to be able to treat the symptoms. It impacts on daily activities and reduces the quality of life of both the patients and their families and it is also the second most prevalent neurodegenerative disorder after Alzheimer in people over the age of 60. Most current studies on the prediction of Parkinson’s severity are carried out in advanced stages of the disease. In this work, the study analyzes a set of variables that can be easily extracted from voice analysis, making it a very non-intrusive technique. In this paper, a method based on different deep learning techniques is proposed with two purposes. On the one hand, to find out if a person has severe or non-severe Parkinson’s disease, and on the other hand, to determine by means of regression techniques the degree of evolution of the disease in a given patient. The UPDRS (Unified Parkinson’s Disease Rating Scale) has been used by taking into account both the motor and total labels, and the best results have been obtained using a mixed multi-layer perceptron (MLP) that classifies and regresses at the same time and the most important features of the data obtained are taken as input, using an autoencoder. A success rate of 99.15% has been achieved in the problem of predicting whether a person suffers from severe Parkinson’s disease or non-severe Parkinson’s disease. In the degree of disease involvement prediction problem case, a MSE (Mean Squared Error) of 0.15 has been obtained. Using a full deep learning pipeline for data preprocessing and classification has proven to be very promising in the field Parkinson’s outperforming the state-of-the-art proposals.SIPublicación en abierto financiada por el Consorcio de Bibliotecas Universitarias de Castilla y León (BUCLE), con cargo al Programa Operativo 2014ES16RFOP009 FEDER 2014-2020 DE CASTILLA Y LEÓN, Actuación:20007-CL - Apoyo Consorcio BUCL

Altamira, grotte

Le siteLa grotte d’Altamira est située à Santillana del Mar, près de Santander (Cantabrie) dans la partie haute du karst, à 158 m d’altitude (fig. 1a). Cette formation géologique comprend des strates quasi horizontales de calcarénite de près d’un mètre d’épaisseur, séparées par de fines couches d’argile, ce qui a rendu la circulation de l’eau faible et lente au sein de cette structure rocheuse. Divers épisodes d’effondrement ont dessiné la morphologie de la grotte depuis la Préhistoire, comm..

Evaluation of ram semen quality using polyacrylamide gel instead of cervical mucus in the sperm penetration test

P. 1575-1586Fertility is a very complex biological function that depends on several properties of the spermatozoa, including sperm motility. Two objectives are analyzed in this study: (1) Replace the cervical mucus by a synthetic medium in a sperm penetration test, and (2) evaluating the results of this test objectively analyzing the sperm number that migrates. In experiment 1, we have tested eight concentrations of acrylamide (1%–2%). Rheological properties of media were analyzed. The plastic straws, loaded with acrylamide, were placed vertically on the semen sample tube for 15 min at 39 °C. After, the acrylamides were placed, by segments of 5 mm, into wells of a 24-well plate, dyed with Hoechst 33342 and the number of spermatozoa were calculated by automated microscopy analysis. The 1.55% and 1.6% acrylamide gel showed a number of spermatozoa emigrating closer to that seen with natural mucus. In experiment 2, we applied the sperm penetration in acrylamide 1.6% and 1.55% using fresh semen and cooled semen at 15 °C and 5 °C. The spermatozoa counts were performed for each segment of 10 mm. Semen chilled at 15 °C presented intermediate values of sperm counts in comparison with fresh semen (higher) and 5 °C chilled semen. The sperm counts do not differ between acrylamides but the rheological properties of acrylamide 1.6% were more similar to those of the natural cervical mucus. In experiment 3, we have observed significant correlations between the number of spermatozoa and several sperm quality parameters (positive: progressive motility and velocity according to the straight path; negative: damaged acrosomes and apoptotic cells) in 1.6% acrylamide media. We conclude that the size of the cell subpopulation, objectively calculated, that migrate beyond 20 mm in 0.5-mL straws filled with acrylamide is a useful parameter in ram sperm quality assessment and further studies are needed to evaluate its relationship with field fertility.S

Panorámica actual de las especies no indígenas marinas en el mar Cantábrico y Atlántico adyacente (NO-N de la península Ibérica): primera aproximación a la Directiva Marco de Estrategias Marinas en la demarcación noroeste

Simposio Ibérico de Estudios de Biología Marina (18º. 2014. Gijón (España))La introducción de especies invasoras no indígenas es un problema cada vez más común a escala mundial, siendo considerado una de mayores amenazas para la conservación de la biodiversidad de todo el planeta. Estas invasiones biológicas causan graves problemas ecológicos y en muchos casos ocasionan también importantes pérdidas a la economía local. La gravedad y el alcance de los impactos generados por las especies invasoras es tal, que en los últimos años ha trascendido del ámbito científico al político-social, siendo considerado como uno de los descriptores de la calidad ambiental en la Directiva Marco de la Estrategia Marina (MSFD 2008/56/EC). A pesar de la envergadura y repercusión de este problema, el estudio de las especies invasoras en aguas de la península Ibérica no ha sido abordado hasta fechas muy recientes, estando en su mayoría centrado en el ámbito continental de los ecosistemas dulceacuícolas y en el ámbito marino de la cuenca mediterránea de la península. Para las costas noratlánticas españolas(las cuales constituyen la demarcación noroeste de la Directiva Marco de la Estrategia Marina) los datos existentes son bastante escasos y sobre todo dispersos, siendo también en muchos casos de afiliación taxonómica dudosa. En este trabajo se presenta la primera revisión actualizada de las especies marinas reportadas como no indígenas (exóticas, no autóctonas, alóctonas o “alien”) ocriptogénicas para el mar Cantábrico y el Atlántico adyacente (costas de Galicia) hasta la actualidad; incluyendo también nuevas adiciones procedentes de los muestreos realizadosen las costas cantábricas y atlántico-gallegas entre los años 2010 y 2014. El área de estudio fue dividida en cuatro zonas (A-D) de Oeste a Este. En esta revisión no se reconocen como alóctonosy/o criptogénicosalgunos taxones previamente reportados como tales, ya que según nuestro criterio se tratan de especies nativas y/o especies que están extendiendo sus rangos de distribución de forma natural, en muchos casos como consecuencia de los fenómenos de calentamiento global. Se listan un total de 287 taxones considerados como no indígenas y/o criptogénicos para el área de estudio, constituyendo estos últimos aproximadamente un tercio del total (92 taxones). Para las taxones alóctonos(195), se ha seguido la clasificación de Zenetoset al. basada en el grado de invasión de las mismas. Las especies consideradas como “casuales” representaron aproximadamente una quinta parte del total (17%), mientras que las especies “establecidas” constituyeron algo menos de la mitad (41%). Finalmente, alrededor de un 6% de los taxones recogidos (17) se categorizaron como “invasores” para las aguas objeto de estudio. En función de las zonas geográficas en las que fue dividida el área de estudio, la gran mayoría de las especies (78%) fueron detectadas para una sola zona; un 21% lo fueron para al menos dos zonas; un 11% para tres y sólo un 6% de las especies fueron detectadas en las cuatro zonas (formando parte de éstas, 10 de las especies consideradas “invasoras”). Taxonómicamente, los filos con un mayor número de especies introducidas son los moluscos y los anélidos, agrupando, cada uno de ellos, un 21% del total de especies; seguidos del grupo de las algas rojas (16%) y de los artrópodos (14%). Otros filos que representan porcentajes mucho menores son los cnidarios (7%), los briozoos (5%), las algas pardas (4%), las ascidias (4%), los poríferos (3%), las algasverdes (2%), los gusanos nemertinos (<1%) y los equinodermos (<1%). El filo con mayor número de especies consideradas como “invasoras” es el grupo las algas rojas con 7 especies

Surroundings of Altamira, an archaeological site around the cave of Altamira (Santillana del Mar, Cantabria)

RESUMEN: este artículo presenta la situación actual de la investigación sobre el yacimiento de Alrededores de Altamira a través de la revisión de los estudios publicados hasta la fecha y de los resultados obtenidos en la primera fase de investigación en el marco del proyecto de Altamira Prospecta desarrollado por el Museo Nacional y Centro de Investigación de Altamira. El estudio de Alrededores de Altamira permite profundizar en el conocimiento de los primeros pobladores de la zona circundante a la cueva de Altamira, así como conocer las estrategias que estas sociedades han desarrollado en este entorno a lo largo de una dilatada cronología, a lo largo de todo el Paleolítico.ABSTRACT: this paper presents the current situation of research on the Surroundings of Altamira site through the review of studies published to date and results obtained in the first phase of research within the framework of the Altamira Prospecta project, developed by the Museo Nacional y Centro de Investigación de Altamira. The study of Surroundings of Altamira allows us to deepen the knowledge of first settlers of the area surrounding the cave of Altamira, as well as to get a better understanding of the strategies that these societies have developed in this environment throughout a wide chronology, throughout the Palaeolithic

Predictors of Global Non-Motor Symptoms Burden Progression in Parkinson’s Disease. Results from the COPPADIS Cohort at 2-Year Follow-Up

Background and Objective: Non-motor symptoms (NMS) progress in different ways between Parkinson's disease (PD) patients. The aim of the present study was to (1) analyze the change in global NMS burden in a PD cohort after a 2-year follow-up, (2) to compare the changes with a control group, and (3) to identify predictors of global NMS burden progression in the PD group. Material and Methods: PD patients and controls, recruited from 35 centers of Spain from the COPPADIS cohort from January 2016 to November 2017, were followed-up with after 2 years. The Non-Motor Symptoms Scale (NMSS) was administered at baseline (V0) and at 24 months ± 1 month (V2). Linear regression models were used for determining predictive factors of global NMS burden progression (NMSS total score change from V0 to V2 as dependent variable). Results: After the 2-year follow-up, the mean NMS burden (NMSS total score) significantly increased in PD patients by 18.8% (from 45.08 ± 37.62 to 53.55 ± 42.28; p < 0.0001; N = 501; 60.2% males, mean age 62.59 ± 8.91) compared to no change observed in controls (from 14.74 ± 18.72 to 14.65 ± 21.82; p = 0.428; N = 122; 49.5% males, mean age 60.99 ± 8.32) (p < 0.0001). NMSS total score at baseline (β = -0.52), change from V0 to V2 in PDSS (Parkinson's Disease Sleep Scale) (β = -0.34), and change from V0 to V2 in NPI (Neuropsychiatric Inventory) (β = 0.25) provided the highest contributions to the model (adjusted R-squared 0.41; Durbin-Watson test = 1.865). Conclusions: Global NMS burden demonstrates short-term progression in PD patients but not in controls and identifies worsening sleep problems and neuropsychiatric symptoms as significant independent predictors of this NMS progression

EuroPineDB: a high-coverage web database for maritime pine transcriptome

Pinus pinaster is an economically and ecologically important species that is becoming a woody gymnosperm model. Its enormous genome size makes whole-genome sequencing approaches are hard to apply. Therefore, the expressed portion of the genome has to be characterised and the results and annotations have to be stored in dedicated databases

Predictors of Loss of Functional Independence in Parkinson’s Disease: Results from the COPPADIS Cohort at 2-Year Follow-Up and Comparison with a Control Group

COPPADIS Study Group.[Background and objective] The aim of this study was to compare the progression of independence in activities of daily living (ADL) in Parkinson’s disease (PD) patients versus a control group, as well as to identify predictors of disability progression and functional dependency (FD).[Patients and Methods] PD patients and control subjects, who were recruited from 35 centers of Spain from the COPPADIS cohort between January 2016 and November 2017 (V0), were included. Patients and subjects were then evaluated again at the 2-year follow-up (V2). Disability was assessed with the Schwab & England Activities of Daily Living Scale (S&E-ADLS) at V0 and V2. FD was defined as an S&E-ADLS score less than 80%.[Results] In the PD group, a significant decrease in the S&E-ADLS score from V0 to V2 (N = 507; from 88.58 ± 10.19 to 84.26 ± 13.38; p < 0.0001; Cohen’s effect size = −0.519) was observed but not in controls (N = 124; from 98.87 ± 6.52 to 99.52 ± 2.15; p = 0.238). When only patients considered functional independent at baseline were included, 55 out of 463 (11.9%) converted to functional dependent at V2. To be a female (OR = 2.908; p = 0.009), have longer disease duration (OR = 1.152; p = 0.002), have a non-tremoric motor phenotype at baseline (OR = 3.574; p = 0.004), have a higher score at baseline in FOGQ (OR = 1.244; p < 0.0001) and BDI-II (OR = 1.080; p = 0.008), have a lower score at baseline in PD-CRS (OR = 0.963; p = 0.008), and have a greater increase in the score from V0 to V2 in UPDRS-IV (OR = 1.168; p = 0.0.29), FOGQ (OR = 1.348; p < 0.0001) and VAFS-Mental (OR = 1.177; p = 0.013) (adjusted R-squared 0.52; Hosmer and Lemeshow test = 0.94) were all found to be independent predictors of FD at V2.[Conclusions] In conclusion, autonomy for ADL worsens in PD patients compared to controls. Cognitive impairment, gait problems, fatigue, depressive symptoms, more advanced disease, and a non-tremor phenotype are independent predictors of FD in the short-term.Fundación Curemos el Parkinson (www.curemoselparkinson.org).Peer reviewe