Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition

An effective way to increase noise robustness in automatic speech recognition (ASR) systems is feature enhancement based on an analytical distortion model that describes the effects of noise on the speech features. One of such distortion models that has been reported to achieve a good trade-off between accuracy and simplicity is the masking model. Under this model, speech distortion caused by environmental noise is seen as a spectral mask and, as a result, noisy speech features can be either reliable (speech is not masked by noise) or unreliable (speech is masked). In this paper, we present a detailed overview of this model and its applications to noise robust ASR. Firstly, using the masking model, we derive a spectral reconstruction technique aimed at enhancing the noisy speech features. Two problems must be solved in order to perform spectral reconstruction using the masking model: (1) mask estimation, i.e. determining the reliability of the noisy features, and (2) feature imputation, i.e. estimating speech for the unreliable features. Unlike missing data imputation techniques where the two problems are considered as independent, our technique jointly addresses them by exploiting a priori knowledge of the speech and noise sources in the form of a statistical model. Secondly, we propose an algorithm for estimating the noise model required by the feature enhancement technique. The proposed algorithm fits a Gaussian mixture model to the noise by iteratively maximising the likelihood of the noisy speech signal so that noise can be estimated even during speech-dominating frames. A comprehensive set of experiments carried out on the Aurora-2 and Aurora-4 databases shows that the proposed method achieves significant improvements over the baseline system and other similar missing data imputation techniques

Effects of aging and soil properties on zinc oxide nanoparticle availability and its ecotoxicological effects to the earthworm Eisenia andrei

To assess the influence of soil properties and ageing on the availability and toxicity of Zn applied as nanoparticles (ZnO NPs) or as Zn2+ ions (ZnCl2), three natural soils were individually spiked with either ZnO NPs or ZnCl2 and incubated for up to 6 months. Available Zn concentrations in soil were measured by pore water extraction (ZnPW), while exposures of earthworms (Eisenia andrei) were performed to study Zn bioavailability. ZnPW was lower when Zn was applied as nanoparticles than as ionic form, and decreased with increasing soil pH. ZnPW for both Zn forms were affected by ageing, but varied among the tested soils, highlighting the influence of soil properties. Internal Zn concentration in the earthworms (ZnE) was highest for the soil with high organic carbon content (5.4%) and basic pH (7.6) spiked with ZnO NPs, but the same soil spiked with ZnCl2 showed the lowest increase in ZnE compared to the control. Survival, weight change, and reproduction of the earthworms were affected by both Zn forms, but differences in toxicity could not be explained by soil properties or ageing. This shows that ZnO NPs and ZnCl2 behave differently in soils depending on soil properties and ageing processes, but differences in earthworm toxicity remain unexplained

16th Sound and Music Computing Conference SMC 2019 (28–31 May 2019, Malaga, Spain)

The 16th Sound and Music Computing Conference (SMC 2019) took place in Malaga, Spain, 28-31 May 2019 and it was organized by the Application of Information and Communication Technologies Research group (ATIC) of the University of Malaga (UMA). The SMC 2019 associated Summer School took place 25-28 May 2019. The First International Day of Women in Inclusive Engineering, Sound and Music Computing Research (WiSMC 2019) took place on 28 May 2019. The SMC 2019 TOPICS OF INTEREST included a wide selection of topics related to acoustics, psychoacoustics, music, technology for music, audio analysis, musicology, sonification, music games, machine learning, serious games, immersive audio, sound synthesis, etc

Before and after EEES spirit in biometrics for pharmacy

Biometría es una asignatura troncal de primer curso del grado de Farmacia. Últimamente, los profesores tratan de adaptarla al espíritu del EEES. El mayor esfuerzo se enfoca hacia el desarrollo de la capacidad de auto-crítica, auto-aprendizaje y de una evaluación adecuada. Algunos métodos tradicionales ya lo pretendían, como la provisión de resúmenes teóricos, la discusión de problemas matemáticos del ámbito farmacéutico dados de antemano o el uso de un paquete informático estadístico. Además, actualmente los alumnos tienen acceso a una página web de la asignatura con esos materiales junto con ejemplos resueltos, presentaciones, etc. La mayor novedad es un curso inicial para repasar conceptos básicos previos y el acceso a tests de autoevaluación a lo largo del curso. La evaluación consistía en un examen final y ahora de cuatro exámenes cortos, otro de las capacidades de uso del paquete estadístico y uno final. El estudio estadístico de las calificaciones desde 2003 hasta 2008 muestran que: 1. Los turnos de la mañana y la tarde son comparables. 2. Las calificaciones de junio y septiembre no son comparables. 3. Las calificaciones son siempre bajas. 4. Las calificaciones son similares para ambos estilos de enseñanza. Por tanto, debemos reflexionar acerca de los resultados. Estudiando lo obtenido tras una encuesta a alumnos y profesores, concluimos lo siguiente: es necesario una mejora en los conocimientos previos de los alumnos, animar a alumnos y profesores a romper con la antigua forma de aprender y la disminución del ratio de alumnos por clase.Biometrics is a mandatory subject in the first course of the Pharmacy degree. In the last few years, its professors try to adapt it to the EEES spirit. The biggest effort is focused on developing the self-criticisim, self-learning competences and a suitable evaluation method. Some of the traditional teaching methods already aimed that, such us providing theory summaries and discussions about mathematical problems within the pharmacy framework proposed in advanced and the use of a statistical package. Nowadays, besides that, the students have a subject web page with the summaries, problems, solved examples, slide presentations, etc. The biggest novelties are an initial course to review preliminary basic concepts and self-evaluation multiple-choice tests provided along the whole term. The evaluation changed from one final exam to four short ones, an exam of their skills at using the statistics package and a final exam.The statistical analysis of the final marks from the 2003 to 2008 shows that: 1. Morning and afternoon shifts are comparable. 2. June and September marks are not comparable. 3. Final marks are always low. 4. Final marks are similar for both teaching styles. Therefore, we should reflect on the results carefully. Having studied the data of a survey among professors and students, we come to the following conclusions: it is necessary to ask for higher student’s knowledge basis, to encourage them and professors to break the chains of old ways of learning and to ask for a decrease in the ratio of students per class.Este trabajo ha sido parcialmente apoyado por los proyectos MTM2007-63793 del Plan Nacional I+D+I, Ministerio de Ciencia e Innovación, y FQM-307 de la Consejería de Innovación de la Junta de Andalucía

In vivo CRISPR/Cas9 targeting of fusion oncogenes for selective elimination of cancer cells

This work was supported by CaixaImpulse (CI18-00017;FuGe) to S.R-P. RT-R. is supported by a postdoctoral fellowship from the Asociación Española Contra el Cáncer (AECC). J.C.S. is supported by the Spanish Cell Therapy cooperative research network (TERCEL)(RD16/0011/0011). P.M. also acknowledges the financial support from the Obra Social La Caixa-Fundaciò Josep Carreras. P.M. is an investigator of the Spanish Cell Therapy cooperative research network (TERCEL). A.M.C. acknowledges funding fromXarxa de Bancs de Tumors de Catalunya (XBTC; sponsored by Pla Director d'Oncologia de Catalunya).Fusion oncogenes (FOs) are common in many cancer types and are powerful drivers of tumor development. Because their expression is exclusive to cancer cells and their elimination induces cell apoptosis in FO-driven cancers, FOs are attractive therapeutic targets. However, specifically targeting the resulting chimeric products is challenging. Based on CRISPR/Cas9 technology, here we devise a simple, efficient and non-patient-specific gene-editing strategy through targeting of two introns of the genes involved in the rearrangement, allowing for robust disruption of the FO specifically in cancer cells. As a proof-of-concept of its potential, we demonstrate the efficacy of intron-based targeting of transcription factors or tyrosine kinase FOs in reducing tumor burden/mortality in in vivo models. The FO targeting approach presented here might open new horizons for the selective elimination of cancer cells

The Mars Environmental Dynamics Analyzer, MEDA. A Suite of Environmental Sensors for the Mars 2020 Mission

86 pags., 49 figs., 24 tabs.NASA’s Mars 2020 (M2020) rover mission includes a suite of sensors to monitor current environmental conditions near the surface of Mars and to constrain bulk aerosol properties from changes in atmospheric radiation at the surface. The Mars Environmental Dynamics Analyzer (MEDA) consists of a set of meteorological sensors including wind sensor, a barometer, a relative humidity sensor, a set of 5 thermocouples to measure atmospheric temperature at ∼1.5 m and ∼0.5 m above the surface, a set of thermopiles to characterize the thermal IR brightness temperatures of the surface and the lower atmosphere. MEDA adds a radiation and dust sensor to monitor the optical atmospheric properties that can be used to infer bulk aerosol physical properties such as particle size distribution, non-sphericity, and concentration. The MEDA package and its scientific purpose are described in this document as well as how it responded to the calibration tests and how it helps prepare for the human exploration of Mars. A comparison is also presented to previous environmental monitoring payloads landed on Mars on the Viking, Pathfinder, Phoenix, MSL, and InSight spacecraft.This work has been funded by the Spanish Ministry of Economy and Competitiveness, through the projects No. ESP2014-54256-C4-1-R (also -2-R, -3-R and -4-R) and AYA2015-65041-P; Ministry of Science, Innovation and Universities, projects No. ESP2016-79612-C3-1-R (also -2-R and -3-R), ESP2016-80320-C2-1-R, RTI2018-098728-B-C31 (also -C32 and -C33) and RTI2018-099825-B-C31; Instituto Nacional de Técnica Aeroespacial; Ministry of Science and Innovation’s Centre for the Development of Industrial Technology; Grupos Gobierno Vasco IT1366-19; and European Research Council Consolidator Grant no 818602. The US co-authors performed their work under sponsorship from NASA’s Mars 2020 project, from the Game Changing Development program within the Space Technology Mission Directorate and from the Human Exploration and Operations Directorate

TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Hypoxic Pulmonary Vasoconstriction in Humans:Tale or Myth

Hypoxic Pulmonary vasoconstriction (HPV) describes the physiological adaptive process of lungs to preserves systemic oxygenation. It has clinical implications in the development of pulmonary hypertension which impacts on outcomes of patients undergoing cardiothoracic surgery. This review examines both acute and chronic hypoxic vasoconstriction focusing on the distinct clinical implications and highlights the role of calcium and mitochondria in acute versus the role of reactive oxygen species and Rho GTPases in chronic HPV. Furthermore it identifies gaps of knowledge and need for further research in humans to clearly define this phenomenon and the underlying mechanism