Service-learning by PhD students to aid socially neglected people

In recent years, there have been calls for change in higher education to meet the needs of today's society. A higher education that enables our students to offer solutions to struggling areas of our society. Innovative and differentiating solutions from what we have been used to until now. In view of these needs, it is necessary to unite the society, which reveals its main needs, and the university community, which offers solutions on the knowledge acquired. One of the ways to carry out this integration is based on developing a methodology called "Service-Learning" (SL). This learning method is based on a strategy of collaboration between educational centers and society itself. At present, this methodology is spreading within higher education institutions worldwide. This learning strategy emerged as a learning methodology in America, to be later extended to Europe, from the United Kingdom to the rest of the continent, and from there, reaching a global impact. Throughout this long road, this methodology has been improving, encouraging the creation of increasingly strong links between educational institutions and universities, and society, by promoting the improvement of student training as well as the development of certain areas of society. This paper presents a SL project where two apparently disparate areas are related, such as doctoral students in the area of chemical engineering and sectors of society at risk of exclusion. Specifically, the objective is for the students to present some of the technological developments they have achieved to a neglected sector of society, which should participate not only in the developments, but also learning about the technical base of such technologies.This work has been carried out with the financial support of the SL UCM 2018/19_16 project and the Madrid City Council.Torrecilla, J.; Buitrón Ruiz, S.; Sánchez, M.; Cancilla, JC.; Pradana López, S.; Perez Calabuig, AM. (2020). Service-learning by PhD students to aid socially neglected people. En 6th International Conference on Higher Education Advances (HEAd'20). Editorial Universitat Politècnica de València. (30-05-2020):831-837. https://doi.org/10.4995/HEAd20.2020.11153OCS83183730-05-202

HERRAMIENTA SOFTWARE PARA LA IMPLEMENTACIÓN DE ALGORITMOS BASADOS EN TÉCNICAS METAHEURÍSTICAS, ORIENTADOS A OPTIMIZAR EL ESTABLECIMIENTO DE RUTAS PARA EL FLUJO DE INFORMACIÓN EN COMUNICACIONES DE MULTIDIFUSIÓN

En las transmisiones multicast, la optimización en el establecimiento de rutas es un área de especial interés en la comunidad académica. La necesidad de este tipo de transmisiones se pueden ver en las aplicaciones relacionadas con la telemedicina, la educación, el trabajo a la distancia, entretenimiento, etc. El objetivo de este trabajo es ser capaz de crear una herramienta de software que propone una o un conjunto de rutas a seguir en el momento de hacer una transmisiónmulticast. Esta ruta o un conjunto de rutas son el resultado de la ejecución de los algoritmos de recocido simulado y búsqueda tabú, cuyo principal objetivo es optimizar  funciones Hop Count, Delay, Cost and Bandwidth consumption

A hybrid Crank-Nicolson FDTD subgridding boundary condition for lossy thin-layer modelling

The inclusion of thin lossy, material layers, such as carbon based composites, is essential for many practical applications modeling the propagation of electromagnetic energy through composite structures such as those found in vehicles and electronic equipment enclosures. Many existing schemes suffer problems of late time instability, inaccuracy at low frequency, and/or large computational costs. This work presents a novel technique for the modeling of thin-layer lossy materials in FDTD schemes which overcomes the instability problem at low computational cost. For this, a 1D-subgrid is used for the spatial discretization of the thin layer material. To overcome the additional time-step constraint posed by the reduction in the spatial cell size, a Crank-Nicolson time-integration scheme is used locally in the subgridded zone, and hybridized with the usual 3D Yee-FDTD method, which is used for the rest of the computational domain. Several numerical experiments demonstrating the accuracy of this approach are shown and discussed. Results comparing the proposed technique with classical alternatives based on impedance boundary condition approaches are also presented. The new technique is shown to have better accuracy at low frequencies, and late time stability than existing techniques with low computational cost

Rice Galaxy: An open resource for plant science

Background: Rice molecular genetics, breeding, genetic diversity, and allied research (such as rice-pathogen interaction) have adopted sequencing technologies and high-density genotyping platforms for genome variation analysis and gene discovery. Germplasm collections representing rice diversity, improved varieties, and elite breeding materials are accessible through rice gene banks for use in research and breeding, with many having genome sequences and high-density genotype data available. Combining phenotypic and genotypic information on these accessions enables genome-wide association analysis, which is driving quantitative trait loci discovery and molecular marker development. Comparative sequence analyses across quantitative trait loci regions facilitate the discovery of novel alleles. Analyses involving DNA sequences and large genotyping matrices for thousands of samples, however, pose a challenge to non−computer savvy rice researchers. Findings: The Rice Galaxy resource has shared datasets that include high-density genotypes from the 3,000 Rice Genomes project and sequences with corresponding annotations from 9 published rice genomes. The Rice Galaxy web server and deployment installer includes tools for designing single-nucleotide polymorphism assays, analyzing genome-wide association studies, population diversity, rice−bacterial pathogen diagnostics, and a suite of published genomic prediction methods. A prototype Rice Galaxy compliant to Open Access, Open Data, and Findable, Accessible, Interoperable, and Reproducible principles is also presented. Conclusions: Rice Galaxy is a freely available resource that empowers the plant research community to perform state-of-the-art analyses and utilize publicly available big datasets for both fundamental and applied science

Fulvestrant 500 mg versus anastrozole 1 mg for hormone receptor-positive advanced breast cancer (FALCON): an international, randomised, double-blind, phase 3 trial

Background Aromatase inhibitors are a standard of care for hormone receptor-positive locally advanced or metastatic breast cancer. We investigated whether the selective oestrogen receptor degrader fulvestrant could improve progression-free survival compared with anastrozole in postmenopausal patients who had not received previous endocrine therapy. Methods In this phase 3, randomised, double-blind trial, we recruited eligible patients with histologically confirmed oestrogen receptor-positive or progesterone receptor-positive, or both, locally advanced or metastatic breast cancer from 113 academic hospitals and community centres in 20 countries. Eligible patients were endocrine therapy-naive, with WHO performance status 0–2, and at least one measurable or non-measurable lesion. Patients were randomly assigned (1:1) to fulvestrant (500 mg intramuscular injection; on days 0, 14, 28, then every 28 days thereafter) or anastrozole (1 mg orally daily) using a computer-generated randomisation scheme. The primary endpoint was progression-free survival, determined by Response Evaluation Criteria in Solid Tumors version 1·1, intervention by surgery or radiotherapy because of disease deterioration, or death from any cause, assessed in the intention-to-treat population. Safety outcomes were assessed in all patients who received at least one dose of randomised treatment (including placebo). This trial is registered with ClinicalTrials.gov, number NCT01602380. Findings Between Oct 17, 2012, and July 11, 2014, 524 patients were enrolled to this study. Of these, 462 patients were randomised (230 to receive fulvestrant and 232 to receive anastrozole). Progression-free survival was significantly longer in the fulvestrant group than in the anastrozole group (hazard ratio [HR] 0·797, 95% CI 0·637–0·999, p=0·0486). Median progression-free survival was 16·6 months (95% CI 13·83–20·99) in the fulvestrant group versus 13·8 months (11·99–16·59) in the anastrozole group. The most common adverse events were arthralgia (38 [17%] in the fulvestrant group vs 24 [10%] in the anastrozole group) and hot flushes (26 [11%] in the fulvestrant group vs 24 [10%] in the anastrozole group). 16 (7%) of 228 patients in in the fulvestrant group and 11 (5%) of 232 patients in the anastrozole group discontinued because of adverse events. Interpretation Fulvestrant has superior efficacy and is a preferred treatment option for patients with hormone receptor-positive locally advanced or metastatic breast cancer who have not received previous endocrine therapy compared with a third-generation aromatase inhibitor, a standard of care for first-line treatment of these patients

Making Musical Works in Renaissance Spain

Producción CientíficaWhy is it that Renaissance musicians (in Spain in this case) could identify as the same work compositions that today might be seen as different? Wherein was the commonality? Current ontologies of music, deeply rooted in modern theories and aesthetics revolve around the notion of musical masterpieces that exist as static monuments of musical art. Not only inadequate from a historical point of view, such a conceptualisation impacts heavily on the way we perform music, how we study it and how we think about it today. Scholars such as Treitler and Strohm have proposed substituting composition over practice to highlight the act of performance over prior creation as a way of shifting the focus in the development of contemporary historiography. In parallel with recent studies on contrapuntal improvisation they have stressed the need to incorporate oral traditions within music history and to stimulate reconsideration conceptualisation of “making musical works” in the Renaissance, and the very nature of the works themselves. Starting with the notion of the Renaissance “musical work” as a group of fluid, dynamic multiplicities, this book explores varied approaches to the “musical work.” It includes lexicological analyses of Renaissance musical terminology, source studies that identify the changing practices and identities of specific works, and broader questions such as interrelationships between music, architecture and rhetoric, o between space and work. The book is further enriched by a study of the 15,000 musical works that resided in the library of Ferdinand Columbus, that survive as indices, never studied or published.Departamento de Música y Expresión MusicalEste trabajo forma parte del proyecto de investigación “La obra musical renacentista: fundamentos, repertorios y prácticas” HAR 2015-70181-P (MINECO/FEDER, UE

VEGF-related polymorphisms identified by GWAS and risk for major depression

La depresión es una enfermedad mental común, grave e incapacitante que afecta a millones de personas de todas las edades en todo el mundo. Varios estudios han demostrado que los factores neurotróficos / de crecimiento tienen un papel clave en la depresión y, más específicamente, el factor de crecimiento endotelial vascular (VEGF) está implicado en la patogénesis de la depresión. El propósito de este estudio fue investigar los posibles vínculos entre cuatro polimorfismos de un solo nucleótido (SNP) relacionados con VEGF, previamente identificados a través de un estudio de asociación de genoma completo (GWAS) y la depresión. Los efectos directos y las interacciones epistáticas de los cuatro SNP relacionados con VEGF (rs10738760, rs6921438, rs6993770 y rs4416670) sobre la depresión se investigaron a través de un estudio de casos y controles que incluyó a 437 personas diagnosticadas con depresión y 477 voluntarios sanos como controles. El sexo, la edad y la influencia del índice de masa corporal se analizaron adicionalmente. El SNP rs4416670 se asoció con un mayor riesgo de depresión (OR: 1.60, P: 0.010). Este resultado demuestra la existencia de relaciones entre los determinantes genéticos del VEGF y la depresión. Esta novedosa asociación revela nuevos mecanismos moleculares que sugieren el papel potencial del VEGF en el desarrollo de la depresión que podría ayudar a promover una predicción personalizada para esta enfermedad común grave.Depression is a common, severe, disabling mental disease that affects millions of people of all ages worldwide. Various studies have shown that neurotrophic/growth factors have a key role in depression and, more specifically, vascular endothelial growth factor (VEGF) is implicated in the pathogenesis of depression. The purpose of this study was to investigate the potential links between four VEGF-related single-nucleotide polymorphisms (SNPs), previously identified through a genome-wide association study (GWAS) and depression. The direct effects and epistatic interactions of the four VEGF-related SNPs (rs10738760, rs6921438, rs6993770 and rs4416670) on depression were investigated through a case–control study including 437 individuals diagnosed with depression and 477 healthy volunteers as controls. Gender, age and body mass index influence was additionally analyzed. The SNP rs4416670 was associated with increased risk for depression (OR: 1.60, P: 0.010). This result demonstrates the existence of relationships between VEGF genetic determinants and depression. This novel association reveals new molecular mechanisms suggesting the potential role of VEGF in depression development that could help to promote a personalized prediction for this severe common disease.• Région Lorraine y Fondo Social Europeo. Ayuda • Junta de Extremadura. Ayuda TE14002, para Áura Delgado Regalado • Instituto de Salud Carlos III. Programa Sara Borrell. Proyecto CD13/00348, para Fernando de Andrés SegurapeerReviewe

Minimally invasive robotic surgery: force and torque analysis

La cirugía mínimamente invasiva y la incorporación de la robótica en este tipo de procedimientos representa grandes ventajas para el paciente, el cirujano y los sistemas de salud. Sin embargo, los dispositivos comerciales disponibles en la actualidad no cuentan con realimentación de fuerza y tacto, que faciliten al cirujano la identificación de los tejidos y consecuentemente, la reducción de errores en los procedimientos quirúrgicos; por lo cual, el desarrollo de sistemas que cuenten con este tipo de realimentación se convierte en un tema de interés a nivel mundial. El presente artículo contiene una revisión del estado de la técnica con respecto a los sistemas comerciales y experimentales desarrollados en esta área. También, se presentan algunos sensores y modelos matemáticos utilizados para calcular las fuerzas y torques en cirugía mínimamente invasiva.Minimally Invasive Surgery and the adaptation of robotics to these procedures represent many advantages for the patient, the surgeon, and the health program. However, commercial devices used nowadays lack haptic feedback. This fact makes the tissue identification more difficult and increments the injuries risk during the surgical procedure. The development of systems with this kind of feedback has become a topic of interest throughout the world. The present article contains a revision of the state of the art about commercial and experimental systems developed in this area. Models for the force and torque propagation, used in Minimally Invasive Surgery, are also presented

Identification of IL-6 Signalling Components as Predictors of Severity and Outcome in COVID-19

IL-6 is one of the major mediators of the hyper-inflammatory responses with complex biological functions as it can signal via different modes of action. IL-6 by classical signalling has anti-inflammatory and antibacterial activities, while trans-signalling mediates pro-inflammatory effects. The net biological effect of IL-6 is established by multiple factors beyond its absolute concentration. Here, we assess the relationship between IL-6 signalling variables [IL-6, soluble IL-6R (sIL-6R) and soluble gp130 (sgp130)] and outcomes in a cohort of 366 COVID-19 patients. The potential trans-signalling was evaluated by a ratio between the pro-inflammatory binary IL-6:sIL-6R complex and the inactive ternary IL-6:sIL-6R:sgp130 complex (binary/ternary complex) and the fold molar excess of sgp130 over sIL-6R (FME). Our data provide new evidence that high levels of IL-6, sIL-6R, sgp130, binary/ternary complex ratio, and low FME are independent predictors of COVID-19 severity in survivor patients (without death), and the combination of IL-6 + sIL-6R + sgp130 exhibited the most robust classification capacity. Conversely, in a subgroup of patients with a very poor prognosis, we found that high levels of IL-6 and low levels of sIL-6R, sgp130, and binary/ternary complex ratio were predictors of death. In this context, the highest predictive capacity corresponded to the combined analysis of IL-6 + FME + lymphopenia + creatinine. Herein, we present IL-6 signalling variables as a helpful tool for the early identification and stratification of patients with clear implications for treatment and clinical decision-making.The research work was supported by the Spanish Institute of Health Carlos III (COV-20/00792) and by the European Commission - NextgenerationEU (Regulation EU 2020/2094), through CSIC's Global Health Platform (PTI Salud Global). MAR-H acknowledges support from the Spanish Institute of Health Carlos III and the European Commission - NextgenerationEU (Regulation EU 2020/2094), through CSIC's Global Health Platform (PTI Salud Global). DC is supported by a predoctoral iPFIS (IFI 19/00048) funded by Spanish Institute of Health Carlos III. MN-N is supported by the Rio Hortega contract (CM20/00074)

AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas

Little attention has been paid to the development of human language technology for truly low-resource languages—i.e., languages with limited amounts of digitally available text data, such as Indigenous languages. However, it has been shown that pretrained multilingual models are able to perform crosslingual transfer in a zero-shot setting even for low-resource languages which are unseen during pretraining. Yet, prior work evaluating performance on unseen languages has largely been limited to shallow token-level tasks. It remains unclear if zero-shot learning of deeper semantic tasks is possible for unseen languages. To explore this question, we present AmericasNLI, a natural language inference dataset covering 10 Indigenous languages of the Americas. We conduct experiments with pretrained models, exploring zero-shot learning in combination with model adaptation. Furthermore, as AmericasNLI is a multiway parallel dataset, we use it to benchmark the performance of different machine translation models for those languages. Finally, using a standard transformer model, we explore translation-based approaches for natural language inference. We find that the zero-shot performance of pretrained models without adaptation is poor for all languages in AmericasNLI, but model adaptation via continued pretraining results in improvements. All machine translation models are rather weak, but, surprisingly, translation-based approaches to natural language inference outperform all other models on that task