Augmented set of features for confidence estimation in spoken term detection

Discriminative confidence estimation along with confidence normalisation have been shown to construct robust decision maker modules in spoken term detection (STD) systems. Discriminative confidence estimation, making use of termdependent features, has been shown to improve the widely used lattice-based confidence estimation in STD. In this work, we augment the set of these term-dependent features and show a significant improvement in the STD performance both in terms of ATWV and DET curves in experiments conducted on a Spanish geographical corpus. This work also proposes a multiple linear regression analysis to carry out the feature selection. Next, the most informative features derived from it are used within the discriminative confidence on the STD system

EBSD texture analysis of an AlCuMg alloy for different solidification rates

The 3xx series aluminium alloys are widely used for automotive applications. However, increments in engine power density result in higher alloy mechanical properties requirements for components such as cylinder heads. These alloys should perform better at high temperatures (>200 °C). A good alternative to the traditional Al-Si alloys are the Al- Cu based alloys. However, hot tear tendency is a big obstacle for the widespread use of this family of alloys [1]. The present work focus on determine the relationship between crack occurrence and grain orientation, as a result of the solidification rate. Grain refinement elements such as Ti and Zn are added to the alloy to reduce hot tearing tendency. Two different variants of AlCuMg alloy are evaluated at different solidification rates.Postprint (published version

Modeling ANXA2-overexpressing circulating tumor cells homing and high throughput screening for metastasis impairment in endometrial carcinomas

Cèl·lules tumorals circulants; Micrometàstasi; DaunorrubicinaCélulas tumorales circulantes; Micrometástasis; DaunorrubicinaCirculating tumor cells; Micrometastasis; DaunorubicinEndometrial cancer (EC) is the most common neoplasm of the female reproductive tract in the developed world. Patients usually are diagnosed in early stage having a good prognosis. However, up to 20–25% of patients are diagnosed in advanced stages and have a higher risk of recurrence, making the prognosis worse. Previously studies identified ANXA2 as a predictor of recurrent disease in EC even in low risk patients. Furthermore, Circulating Tumor Cells (CTC) released from the primary tumor into the bloodstream, are plasticity entities responsible of the process of metastasis, becoming into an attractive clinical target. In this work we validated ANXA2 expression in CTC from high-risk EC patients. After that, we modelled in vitro and in vivo the tumor cell attachment of ANXA2-expressing CTC to the endothelium and the homing for the generation of micrometastasis. ANXA2 overexpression does not provide an advantage in the adhesion process of CTC, but it could be playing an important role in more advanced steps, conferring a greater homing capacity. We also performed a high-throughput screening (HTS) for compounds specifically targeting ANXA2, and selected Daunorubicin as candidate hit. Finally, we validated Daunorubicin in a 3D transendothelial migration system and also in a in vivo model of advanced EC, demonstrating the ability of Daunorubicin to inhibit the proliferation of ANXA2-overexpressing tumor cells.This work was supported by grants from the Instituto de Salud Carlos III ( ISCIII ), grant PI17/01919 and PI20/00969 , co-financed by the European Regional Development Fund (FEDER); from Fundación Científica de la Asociación Española Contra el Cáncer (AECC), Grupos Clínicos Coordinados 2018; Xunta de Galicia ( ED431C 2018/21 ); Ministry of Economy and Competiveness (Innopharma Project) and from CIBERONC ( CB16/12/00328 ); Carolina Herrero is supported by a predoctoral i-PFIS fellowship from Instituto de Salud Carlos III ( IFI17/00047 )

A novel two-level architecture plus confidence measures for a keyword spotting system.

This is an electronic version of the paper presented at the V Jornadas en Tecnología del Habla, held in 2008 on BilbaoIn this work, we present a novel two-level architecture for a keyword spotting system. The first level is composed of an HMM-based keyword spotting process. The second level uses isolated word recognition. Two confidence measures in the decision stage, based on the posteriors and the keywords hypothesised by this second level, are presented and compared within the keyword spotting system. Both confidence measures outperform the performance of the first level in isolation.This work was partly funded by the Spanish Ministry of Science and Education (TIN 2005- 06885)

The ERK5/NF-κB signaling pathway targets endometrial cancer proliferation and survival

Apoptosis; Endometrial cancer; Map kinaseApoptosis; Cáncer endometrial; Mapa quinasaApoptosi; Càncer d'endometri; Mapa quinasaEndometrial cancer (EC) is the most common type of gynecologic cancer in women of developed countries. Despite surgery combined with chemo-/radiotherapy regimens, overall survival of patients with high-risk EC tumors is poor, indicating a need for novel therapies. The MEK5-ERK5 pathway is activated in response to growth factors and to different stressors, including oxidative stress and cytokines. Previous evidence supports a role for the MEK5-ERK5 pathway in the pathology of several cancers. We investigated the role of ERK5 in EC. In silico analysis of the PanCancer Atlas dataset showed alterations in components of the MEK5-ERK5 pathway in 48% of EC patients. Here, we show that ERK5 inhibition or silencing decreased EGF-induced EC cell proliferation, and that genetic deletion of MEK5 resulted in EC impaired proliferation and reduced tumor growth capacity in nude mice. Pharmacologic inhibition or ERK5 silencing impaired NF-kB pathway in EC cells and xenografts. Furthermore, we found a positive correlation between ERK5 and p65/RELA protein levels in human EC tumor samples. Mechanistically, genetic or pharmacologic impairment of ERK5 resulted in downregulation of NEMO/IKKγ expression, leading to impaired p65/RELA activity and to apoptosis in EC cells and xenografts, which was rescued by NEMO/IKKγ overexpression. Notably, ERK5 inhibition, MEK5 deletion or NF-kB inhibition sensitized EC cells to standard EC chemotherapy (paclitaxel/carboplatin) toxicity, whereas ERK5 inhibition synergized with paclitaxel to reduce tumor xenograft growth in mice. Together, our results suggest that the ERK5-NEMO-NF-κB pathway mediates EC cell proliferation and survival. We propose the ERK5/NF-κB axis as new target for EC treatment.Open Access Funding provided by Universitat Autonoma de Barcelona. The JM Lizcano research group was supported by grants from the Spanish Ministry of Economy and Competitiveness (MINECO, grant SAF2015-64237-R), and the Spanish Ministry of Science and Innovation (grant PID2019-107561RB-I00), and co-funded by the European Regional Development Fund (ERDF)

Multi-instrumental observations of the 2014 Ursid meteor outburst

The Ursid meteor shower is an annual shower that usually shows little activity. However, its Zenith hourly rate sometimes increases, usually either when its parent comet, 8P/Tuttle, is close to its perihelion or its aphelion. Outbursts when the comet is away from perihelion are not common and outbursts when the comet is close to aphelion are extremely rare. The most likely explanation offered to date is based on the orbital mean motion resonances. The study of the aphelion outburst of 2000 December provided a means of testing that hypothesis. A new aphelion outburst was predicted for 2014 December. The SPanish Meteor Network, in collaboration with the French Fireball Recovery and InterPlanetary Observation Network, set up a campaign to monitor this outburst and eventually retrieve orbital data that expand and confirm previous preliminary results and predictions. Despite unfavourable weather conditions over the south of Europe over the relevant time period, precise trajectories from multistation meteor data recorded over Spain were obtained, as well as orbital and radiant information for four Ursid meteors. The membership of these four meteors to the expected dust trails that were to provoke the outburst is discussed, and we characterize the origin of the outburst in the dust trail produced by the comet in the year AD 1392.Peer reviewe

Genesis and evolution of the San Manuel iron skarn deposit (Betic Cordillera, SW Spain)

The San Manuel magnesian skarn is an iron deposit hosted in dolomitic marbles from a tectonic slice imbricated within the Ronda peridotites, in the westernmost part of the Betic Cordillera, Spain. According to the dominant mineral assemblage, the skarn is subdivided into three different zones, (1) forsterite +/- calcite skarn, (2) calcite +/- chlorite +/- serpentine skarn, and (3) Ca-amphibole skarn. The main ore in the skarn is a similar to 2.5 m thick, massive ore body situated in the middle of the sequence. In this paper, we firstly report a comprehensive major to trace element composition, texture, microstructure, and mineralogy characterization for zoned magnesioferritemagnetite grains of the San Manuel deposit using a combination of (1) laser ablation inductively coupled plasma mass spectrometer, (2) focused ion beam combined with transmission electron microscopy, and (3) electron back-scattered diffraction. We have defined four different magnesioferrite-magnetite generations. A complete sequence of zoning includes cores of magnesioferrite (Mag-1; MgO up to 10.6 wt%) overprinted by three successive generations of magnetite, namely Mag-2, Mag-3, Mag-4. Mag-2 (MgO < 4 wt%), hosts composite forsterite +/- calcite +/- chlorite inclusions, consistently with high Si, Ca, and Sr (average: 8204 ppm, 8980 ppm, and 49 ppm respectively) contents detected by in situ laser ablation inductively coupled plasma (LA-ICP-MS). Mag-3 replacing former Mag-1 and Mag-2 includes nanometric spinel and gahnite exsolutions detected by focused ion beam combined with a transmission electron microscope (FIB-TEM), which is consistent with its high Al, Ti, V, and Ga (average: 5073 ppm, 368 ppm, and 20 ppm, respectively) trace element concentration. Mag-4 is the Fe-richest magnetite (up to 94.16 wt% FeOtotal) forming the outermost rims in magnetite grains, and exhibiting the lowest total trace element contents. Approaches in temperature estimations employing magnetitespinel exsolutions in Mag-3 suggest that the minimum temperature of the prograde stage reached temperatures below 700 degrees C, whereas Mag-4 should be formed during the retrograde stage. Magnetite microstructure studied by electron backscatter diffraction (EBSD) suggests Mag-4 formation under fluid-assisted dynamic conditions, which is consistent with the tectonic evolution of the emplacement. We propose that the San Manuel deposit formed by pulsed hydrothermal fluids derived from anatexis of crustal rocks during peridotite emplacement, promoting reequilibration processes that led to the magnesioferrite-magnetite zoning

Functional Prioritization and Hydrogel Regulation Phenomena Created by a Combinatorial Pearl-Associated Two-Protein Biomineralization Model System

In the nacre or aragonitic layer of an oyster pearl, there exists a 12-member proteome that regulates both the early stages of nucleation and nanoscale-to-mesoscale assembly of nacre tablets and calcitic crystals from mineral nanoparticle precursors. Several approaches to understanding protein-associated mechanisms of pearl nacre formation have been developed, yet we still lack insight into how protein ensembles or proteomes manage nucleation and crystal growth. To provide additional insights, we have created a proportionally defined combinatorial model consisting of two pearl nacre-associated proteins, PFMG1 and PFMG2 (shell oyster pearl nacre, Pinctada fucata) whose individual in vitro mineralization functionalities are distinct from one another. Using scanning electron microscopy, atomic force microscopy, Ca(II) potentiometric titrations, and quartz crystal microbalance with dissipation monitoring quantitative analyses, we find that at 1:1 molar ratios, rPFMG2 and rPFMG1 co-aggregate in specific molecular ratios to form hybrid hydrogels that affect both the early and later stages of in vitro calcium carbonate nucleation. Within these hybrid hydrogels, rPFMG2 plays a role in defining protein co-aggregation and hydrogel dimension, whereas rPFMG1 defines participation in nonclassical nucleation processes; both proteins exhibit synergy with regard to surface and subsurface modifications to existing crystals. The interactions between both proteins are enhanced by Ca(II) ions and may involve Ca(II)-induced conformational events within the EF-hand rPFMG1 protein, as well as putative interactions between the EF-hand domain of rPFMG1 and the calponin-like domain of rPFMG2. Thus, the pearl-associated PFMG1 and PFMG2 proteins interact and exhibit mineralization functionalities in specific ways, which may be relevant for pearl formation

Macroinvertebrate community traits and nitrate removal in stream sediments

1. In-stream nitrate removal capacity may be used as a proxy for the ecosystem service of water quality regulation. It is well known that this natural function is driven by abiotic and biotic factors in running water environments. With regard to biotic drivers, most of the literature focuses on the microbial community influences, but there has been very little emphasis on the relationship with the benthic macroinvertebrate community. Since this community feeds on microbial assemblages (autotrophic and/or heterotrophic biofilms) that live on the streambed and in the hyporheic zone of the river, macroinvertebrates also have the potential to influence nitrate removal via its influences on microbiological processes.2. The objective of this study was to examine the potential relationship between the macroinvertebrate communities and nitrate removal. A dataset of in-stream nitrate removal rates measured in nine-third-order streams was analysed. The simultaneous influences of abiotic (hydromorphological, physical and chemical characteristics) and biotic (biofilm and macroinvertebrate) drivers were examined and together explained 56% of the in-stream nitrate removal variance. An analysis of the independent contributions of each driver showed that abiotic drivers (e.g. ammonium, dissolved organic carbon, temperature and transient zone) contributed 40% of this nitrate removal variance, whereas the macroinvertebrate community contributed 39%.3. The potential relationship between macroinvertebrates and nitrate removal was subsequently explored using trait-based approaches of the macroinvertebrate community. This method allows for the selection of trait modalities assuming a top-down control of microbial communities by macroinvertebrates, with in-stream abiotic conditions correlated with nitrate removal (assuming that environmental conditions affect macroinvertebrate community composition).4. The main trait modalities positively correlated with nitrate removal were scraper (feeding habit), flagstones/boulders/cobbles/pebbles (substrate preference), crawler and interstitial (locomotion) and detritus (food). The main modalities negatively correlated with nitrate removal were silt and mud with microphytes (as substrate preference), and with fine sediment with microorganisms, and dead animals (as food sources). These results agreed with the hypothesis of top-down control and enhanced understanding of the influence of hydromorphological factors on nitrate removal.5. This study highlights the involvement of the macroinvertebrate community in in-stream nitrate processing, and demonstrates the usefulness of applying a functional approach to explain relationships between biodiversity and ecosystem function