Music Learning Tools for Android Devices

In this paper, a musical learning application for mobile devices is presented. The main objective is to design and develop an application capable of offering exercises to practice and improve a selection of music skills, to users interested in music learning and training. The selected music skills are rhythm, melodic dictation and singing. The application includes an audio signal analysis system implemented making use of the Goertzel algorithm which is employed in singing exercises to check if the user sings the right musical note. This application also includes a graphical interface to represent musical symbols. A set of tests were conducted to check the usefulness of the application as musical learning tool. A group of users with different music knowledge have tested the system and reported to have found it effective, easy and accessible.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Uncovering Gene Regulatory Networks from Time-Series Microarray Data with Variational Bayesian Structural Expectation Maximization

We investigate in this paper reverse engineering of gene regulatory networks from time-series microarray data. We apply dynamic Bayesian networks (DBNs) for modeling cell cycle regulations. In developing a network inference algorithm, we focus on soft solutions that can provide a posteriori probability (APP) of network topology. In particular, we propose a variational Bayesian structural expectation maximization algorithm that can learn the posterior distribution of the network model parameters and topology jointly. We also show how the obtained APPs of the network topology can be used in a Bayesian data integration strategy to integrate two different microarray data sets. The proposed VBSEM algorithm has been tested on yeast cell cycle data sets. To evaluate the confidence of the inferred networks, we apply a moving block bootstrap method. The inferred network is validated by comparing it to the KEGG pathway map

Thermal Effect on TL Response of Single Doped LiF+NaF:RE Polycrystalline Phosphors

In this work, the sintering and annealing effects on the thermoluminescent (TL) behavior of undoped and rare earth (RE)-doped LiF+NaF powder samples (RE = Ce3+, Eu3+, Lu3+ or Tl+, at 0.5 mol%) was analyzed by evaluating the sensitivity to gamma radiation and TL response of the material. The polycrystalline samples were obtained by solid state reaction at 1000°C. The samples were irradiated in a Gammacell-3000 Elan irradiator loaded with 137Cs sources. The glow curves of the LiF+NaF doped with lutetium or thallium show an intense glow peak at about 175°C and 135°C, respectively. When the phosphor was doped with cerium or europium the glow curves were complex in their structure, with TL peaks observed at 155°C and 165°C, respectively. The linear dose-response was between 10 and 50 Gy for cerium, europium or lutetium doped LiF+NaF samples, while for the thallium doped and undoped samples such intervals were 10-100 Gy and 10-500 Gy, respectively. Because the shape of the glow curves were complex, the analysis was carried out in (i) samples without a sintering treatment where the TL response was found insensitive to pre-irradiation annealing treatment, and (ii) sintered samples (300, 350, 400 or 500 °C), in this last case the TL response was dependent on the annealing temperature (100-400 °C), finally (iii) the kinetics parameters of the glow curves were analyzed by assuming a general order kinetics model. The observed glow curves and TL characteristics of the LiF+NaF:RE phosphor make attractive this material to be useful in gamma dose dosimetry

Impact of prophylactic TNF blockade in the dual PD-1 and CTLA-4 immunotherapy efficacy and toxicity

The TNF blockade therapy is currently a well-established treatment option for a variety of autoimmune diseases such as rheumatoid arthritis (RA), psoriasis or Crohn's disease, given the proinflammatory role of TNF in the course of these diseases. Importantly, TNF neutralization is also used for the treatment of corticosteroid-refractory immune-related adverse events (irAEs) induced by the combined anti-PD-1 and anti-CTLA-4 immunotherapy. The manifestation of these toxicities is an important limiting factor for the successful implementation of the inhibitory checkpoint blockade therapy (ICB), restraining its anti-tumor efficacy. In our recent study (Perez-Ruiz et al., Nature 569(7756): 428-432.), we analyzed the potential impact of prophylactic TNF neutralization therapy in the anti-PD1/CTLA-4 efficacy. Through several mouse models, we demonstrated that TNF neutralization ameliorated ICB-exacerbated colitis in addition to improving ICB-dependent anti-tumor efficacy. Similar results were obtained after prophylactic TNF blockade in graft vs host xenografted mouse models with human immune cells, which showed a reduction in colitis and hepatitis. Importantly, there was a preservation of the immunotherapeutic control of xenografted tumors after ICB treatment. Moreover, TNF and TNF-dependent gene expression is upregulated in the colon mucosa from patients affected by colitis as a side effect of ipilimumab and nivolumab. Our results, thus, provide evidence of the successful combination of prophylactic TNF neutralization with ICB therapy strategy to ameliorate toxicities, while keeping or even ameliorating anti-tumor efficacy. The prophylactic TNF blockade strategy is clinically feasible since excellent TNF inhibitors have been approved for the treatment of autoimmunity and are used for the immune-related serious adverse events in immunotherapy

Use of Molecular Markers to Assist the Development of Inbred Lines under Open Field Conditions: the Case of Criollo Peppers (Capsicum annuum L.) from Mexico

[EN] Chile peppers are one of the most important crops in Mexico and a plethora of ecotypes can be found there. Most of them are ancient open-pollinated (OP) landraces selected by farmers for uniform phenotype but with an inherent level of genetic diversity, called criollos. In this work 15 pepper accessions, encompassing 2 criollo lines, their open-pollinated progenies, and 5 controls, were characterized with a set of 36 IPGRI descriptors and 23 SSR markers to assess the effect of open pollination in the inbreeding process. Heterozygosity levels were comprised between 12 and 47% in the progenies, which were similar or lower than those values from parent plants and similar or higher than control cultivars. Also, both progenies and parents showed similar levels of agronomic and morphological uniformity. Our results suggest that this OP program is efficient in terms of reaching enough agronomic uniformity in criollo Ancho peppers while preserving certain genetic diversity to confer adaptation to climate change.This work was partly financed by projects INIA RTA2013-00022-C02-02 and RTA2014-00041-C02-02, funded by Instituto Nacional Investigaciones Agrarias (Spain), FEDER funds. Also, Mexican authors thank CONACYT for financing the stay of Gustavo Chavez-Gonzalez in Spain, as well as the Programa Integral de Fortalecimiento Institucional (PIFI) de la UA de Aguascalientes (SEP-Mexico).Pereira-Días, L.; Chavez-Gonzalez, G.; Bracho Gil, M.; Fita, A.; Vilanova Navarro, S.; Luna-Ruiz, J.; Perez-Cabrera, L.... (2017). Use of Molecular Markers to Assist the Development of Inbred Lines under Open Field Conditions: the Case of Criollo Peppers (Capsicum annuum L.) from Mexico. Notulae Botanicae Horti Agrobotanici Cluj-Napoca. 45(2):365-368. https://doi.org/10.15835/nbha45210940S36536845

Detección y seguimiento de objetos en vídeos de actividades de vida diaria para rehabilitación de pacientes con daño cerebral adquirido

Las técnicas de rehabilitación permiten la recuperación y mejora de las funciones dañadas o deterioradas y ayuda al paciente con DCA a adaptarse a su nueva situación. El avance tecnológico que se ha producido en las últimas décadas, ha impulsado la investigación en el diseño y desarrollo de nuevos modelos de rehabilitación. La tecnología de vídeo interactivo se convierte en un elemento de apoyo en estos nuevos modelos rehabilitadores. Se hace necesario desarrollar nuevos algoritmos de segmentación y seguimiento que permitan dotar de información adicional a los vídeos. En este trabajo se han implementado y evaluado dos métodos que permiten realizar la detección y el seguimiento de objetos de interés

LEARNING BY DOING ON COMPUTATIONAL FLUID DYNAMICS

ABSTRACT This work involves the methodology used in the University of Valladolid for Mechanical Engineering students to learn Computational Fluid Dynamics playing an active role. Students pretend to be engineers in a consulting or design office carrying out a fluid mechanics scale down projects. Later they act as reviewers evaluating a project from a colleague. There is a deeper understanding of the topic when they need to discuss the strategies to accomplish the project, to write a technical report and finally to justify the evaluation of other works. Furthermore, they develop their critical thought, writing skills and synthesis capacity. Multimedia material from other institutions that review the concepts learned in the course can be a suitable way to improve the understanding of concepts. INTRODUCTION The computational fluid dynamics (CFD) is a key tool in mechanical engineering because of the useful information provided at a very low cost that reduces the a posteriori parametric experimental studies. Learning CFD is an important investment for Mechanical Engineering undergraduate students. They need to know the methodology and to identify the weaknesses and strength of commercial codes