710 research outputs found

    Proteomic analysis of heart failure hospitalization among patients with chronic kidney disease: The Heart and Soul Study.

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    BACKGROUND:Patients with chronic kidney disease (CKD) are at increased risk for heart failure (HF). We aimed to investigate differences in proteins associated with HF hospitalizations among patients with and without CKD in the Heart and Soul Study. METHODS AND RESULTS:We measured 1068 unique plasma proteins from baseline samples of 974 participants in The Heart and Soul Study who were followed for HF hospitalization over a median of 7 years. We sequentially applied forest regression and Cox survival analyses to select prognostic proteins. Among participants with CKD, four proteins were associated with HF at Bonferroni-level significance (p<2.5x10(-4)): Angiopoietin-2 (HR[95%CI] 1.45[1.33, 1.59]), Spondin-1 (HR[95%CI] 1.13 [1.06, 1.20]), tartrate-resistant acid phosphatase type 5 (HR[95%CI] 0.65[0.53, 0.78]) and neurogenis locus notch homolog protein 1 (NOTCH1) (HR[95%CI] 0.67[0.55, 0.80]). These associations persisted at p<0.01 after adjustment for age, estimated glomerular filtration and history of HF. CKD was a significant interaction term in the associations of NOTCH1 and Spondin-1 with HF. Pathway analysis showed a trend for higher representation of the Cardiac Hypertrophy and Complement/Coagulation pathways among proteins prognostic of HF in the CKD sub-group. CONCLUSIONS:These results suggest that markers of heart failure differ between patients with and without CKD. Further research is needed to validate novel markers in cohorts of patients with CKD and adjudicated HF events

    Results on Argentine (Argentinaspp.), Bluemouth (Helicolenus dactylopterus), Greater forkbeard (Phycis blennoides), Spanish ling (Molva macrophthalma) and ling (Molva molva) from 2014 Porcupine Bank (NE Atlantic) survey

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    This working document presents the results on four of the most significant deep fish species of the last Porcupine Spanish survey carried in 2014, as well as it updates previous documents presented with the information on the fourteen years (2001-2014) of the Spanish bottom trawl survey on the Porcupine Bank. The document presents total abundances in weight, length frequencies and geographical distributions for Argentinaspp. (mostly A. silus, results on proportions by Argentine species distribution in last surveys are provided), Bluemouth (Helicolenus dactylopterus), Greater fork-beard (Phycis blennoides) and Spanish ling (Molva macrophthalma). Argentinaspp. and Spanish ling presented a decrease in their abundances, whereas Bluemouth remained stable and Greater forkbeard increased slightly. In terms of recruitment 2014 showed larger values than previous years for A. sphyraena, Helicolenus dactylopterusand Molva macrophtalmabut weaker for Phycis blennoides, and A silus. Furthermore results for ling (Molva molva) on the Spanish Porcupine Bank survey are summarizedpresenting the results to the WG so their utility for the assessment could be considered.Versión de edito

    Use of Machine Learning Models of the ”Transformers” Type in the Construction of Services in a Gamified Web app.

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    The purpose of this document is to describe the use of a natural language processing model in the multiplatform system ”Gamivity” by means of a sentence similarity algorithm to offer a personalized experience module based on the conceptual relationship between questions. For the selection process, certain criteria were chosen that will allow several pre-trained models under the “Transformers” architecture for evaluation, later. These criteria were the language with which the model was altered; Python was the programming language used for the implementation. Regarding the evaluation phase of the selected models, the ”Sentence Transformers” library of the Python programming language was used. In addition, a work environment analogous to the module present in the ”Gamivity” system was built, in which the development platform ”Google Colab” was used to test these models. The criteria for choosing the candidate model were based on its effectiveness in relation to questions as well as the computational cost involved while performing the operations in the said model Based on the applied methodology, the model that yielded the best results was ”paraphrase-multilingual- MiniLM-L12-v2,” modified with a large corpus of text in Spanish and 50 other languages, which showed a degree of precision. When it comes to conceptually relating the questions provided it was found to be optimal, having relatively low computational cost when performing these operations. Keywords: sentence transformers, sentence similarity, relate questions, personalized learning. Resumen El presente documento, tiene como propósito el de describir la utilización de un modelo de procesamiento de lenguaje natural en el sistema multiplataforma “Gamivity”, por medio de un algoritmo de similitud de oraciones para ofrecer un módulo de experiencia personalizada a partir de la relación conceptual entre preguntas. Para el proceso de selección, se establecieron ciertos criterios que permitieron elegir varios modelos pre entrenados bajo la arquitectura “Transformers” para su posterior evaluación. Dichos criterios, fueron el idioma con el que fue entrenado el modelo, así como que el lenguaje de programación utilizado para la implementación fuese Python. En lo que concierne a la fase de evaluación de los modelos seleccionados, se hizo uso de la biblioteca “Sentence Transformers” del lenguaje de programación Python, además se construyó un entorno de trabajo análogo al módulo presente en el sistema “Gamivity”, en la plataforma de desarrollo “Google Colab” para poner a prueba dichos modelos, los criterios para la elección del modelo candidato, se resumen en la eficacia a la hora de relacionar preguntas, así como el coste computacional a la hora de realizar las operaciones involucradas en dicho proceso. A partir de la metodología aplicada, el modelo que mejor resultados generó fue “paraphrase-multilingual-MiniLM L12-v2”, entrenado con un gran corpus de texto en español, así como de otros 50 idiomas, el cual mostró un grado de precisión óptimo a la hora de relacionar conceptualmente las preguntas proporcionadas, así como su relativo bajo coste computacional a la hora de efectuar dichas operaciones. Palabras Clave: sentence transformers, sentence similarity, relacionar preguntas, aprendizaje personalizado

    Results on main elasmobranch species captured during the 2001-2010 Porcupine Bank (NE Atlantic) bottom trawl surveys

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    This paper presents the results on nine of the most important elasmobranch fish species of the Porcupine bank Spanish surveys during the last decade (2001-2010). The main species in the captures in decreasing biomass order are: blackmouth catshark, birdbeak dogfish, knifetooth dogfish, velvet belly, lesser spotted dogfish, bluntnose sixgill shark, sandy ray, cuckoo ray and common skate. Manyof these species occupy mainly the deep areas covered in the survey,especially birdbeak dogfish, knifetooth dogfish and velvet belly. Less confined to deeper grounds are blackmouth catshark and sandy ray, while lesser spotted dogfish and cuckoo ray inhabit mainly the shallowergrounds close to the Irish shelf or the central mound in the bank. Length distributions of these species along the survey series are also presented and discussed. The few available data on siki sharks from the Porcupine bank survey are also summarized.Versión del edito

    Results on main cephalopods from the 2021 Spanish Ground Fish Survey on the Porcupine bank (NE Atlantic) (Division 7c and 7k)

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    This working document presents the results of the most significant cephalopods caught on the Porcupine Spanish Groundfish Survey (SP-PORC-Q3) in 2021. Biomass, abundance, geographical distribution and length frequencies for Eledone cirrhosa (horned octopus), Bathypolypus sponsalis (globose octopus), Todarodes sagittatus (European flying squid), Todaropsis eblanae (lesser flying squid), Loligo forbesi (veined squid), Illex coindetii (broadtail shortfin squid), Rossia macrosoma (stout bobtail squid) and other scarce cephalopods have been analysed. The species E. cirrhosa, R. macrosoma and L. forbesi increased in terms of biomass and abundance, especially R. macrosoma, reaching the highest biomass value in the time series, whereas T. sagitattus increased only in abundance terms but decreased slightly in biomass terms. In contrast, T. eblanae and B. sponsalis decreased strongly after the high values of the previous two years, as did I. coindetii. Most of the usually scarce species increased their biomass, with the exception of H. reversa

    Results on Merluccius merluccius (hake), Lophius budegassa (black anglerfish) and Lophius piscatorius (white anglerfish), Lepidorhombus boscii (four-spot megrim) and Lepidorhombus whiffiagonis (megrim) from the Spanish Ground Fish Survey on the Porcupine bank (NE Atlantic)

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    This working document presents the results of Merluccius merluccius (hake), Lophius budegassa (black anglerfish), Lophius piscatorius (white anglerfish), Lepidorhombus boscii (four-spot megrim) and Lepidorhombus whiffiagonis (megrim) caught on the Porcupine Spanish Groundfish Survey (SP-PORC-Q3) in 2020. Biomass, abundance, distribution and length frequency were analysed. Biomass indices of these target species decreased in this last survey and recruitment remained low

    Results on haddock (Melanogrammus aeglefinus), whiting (Merlangius merlangius) and Norway lobster (Nephrops norvegicus) from the Porcupine Bank Survey (NE Atlantic)

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    This working document presents the results on haddock (Melanogrammus aeglefinus), whiting (Merlangius merlangius) and Norway lobster (Nephrops norvegicus) caught in the Porcupine Spanish Groundfish Survey (SP-PORC-Q3) in 2020. Biomass, abundance, distribution and length frequency were analysed. M. aeglefinus remained low in the study area, although it increased slightly, but M. merlangius grew strongly and reached the highest values in the time series. No signs of recruits for neither two species were found. In addition, the incidental species Pleuronectes platessa and Solea solea were not found in 2020 and Pollachius pollachius has never been caught in the time series. The crustacean N. norvergicus fell sharply this last survey, although the mean individual weight was slightly higher than in previous years since 2016

    Results on main cephalopods from the Spanish Ground Fish Survey on the Porcupine bank (NE Atlantic) (Division 7c and 7k)

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    This working document presents the results of the most significant cephalopods caught on the Porcupine Spanish Groundfish Survey (SP-PORC-Q3) in 2020. Biomass, abundance, geographical distribution and length frequencies were analysed for Eledone cirrhosa (horned octopus), Bathypolypus sponsalis (globose octopus), Todarodes sagittatus (European flying squid), Todaropsis eblanae (lesser flying squid), Loligo forbesi (veined squid), Illex coindetii (broadtail shortfin squid), Rossia macrosoma (stout bobtail squid) and other scarce cephalopods. The biomass and abundance of the most common cephalopods increased, especially I. coindetii and T. sagitattus. In contrast, T. eblanae and B. sponsalis decreased in this last survey. E. cirrhosa and L. forbesi remained at very similar values to the previous year and most of the usually scarce species also generally increased their biomass, with the exception of A. lichtensteinii, R. minor and S. oweniana, which decreased
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