Las estrategias de sostenibilidad de los medios nativos digitales en Uruguay : El caso de: Sudestada

El Trabajo Integrador Final (TIF) de la Especialización en Comunicación Digital refiere a analizar como caso de estudio al medio digital uruguayo Sudestada, con el fin de comprender las estrategias comerciales, editoriales y en cuánto al vínculo con la audiencia para atender las diferentes modalidades de sostenibilidad.Facultad de Periodismo y Comunicación Socia

Real-Time Estimation of R_t for Supporting Public-Health Policies Against COVID-19

In the absence of a consensus protocol to slow down the spread of SARS-CoV-2, policymakers need real-time indicators to support decisions in public health matters. The Effective Reproduction Number (R_t) represents the number of secondary infections generated per each case and can be dramatically modified by applying effective interventions. However, current methodologies to calculate R_t from data remain somewhat cumbersome, thus raising a barrier between its timely calculation and application by policymakers. In this work, we provide a simple mathematical formulation for obtaining the effective reproduction number in real-time using only and directly daily official case reports, obtained by modifying the equations describing the viral spread. We numerically explore the accuracy and limitations of the proposed methodology, which was demonstrated to provide accurate, timely, and intuitive results. We illustrate the use of our methodology to study the evolution of the pandemic in different iconic countries, and to assess the efficacy and promptness of different public health interventions

Country-Wise Forecast Model for the Effective Reproduction Number R_t of Coronavirus Disease

Due to the particularities of SARS-CoV-2, public health policies have played a crucial role in the control of the COVID-19 pandemic. Epidemiological parameters for assessing the stage of the outbreak, such as the Effective Reproduction Number (R_t), are not always straightforward to calculate, raising barriers between the scientific community and non-scientific decision-making actors. The combination of estimators of R_t with elaborated Machine Learning-based forecasting techniques provides a way to support decision-making when assessing governmental plans of action. In this work, we develop forecast models applying logistic growth strategies and auto-regression techniques based on Auto-Regressive Integrated Moving Average (ARIMA) models for each country that records information about the COVID-19 outbreak. Using the forecast for the main variables of the outbreak, namely the number of infected (I), recovered (R), and dead (D) individuals, we provide a real-time estimation of R_t and its temporal evolution within a timeframe. With such models, we evaluate R_t trends at the continental and country levels, providing a clear picture of the effect governmental actions have had on the spread. We expect this methodology of combining forecast models for raw data to calculate R_t to serve as valuable input to support decision-making related to controlling the spread of SARS-CoV-2

A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations

The outbreak and propagation of COVID-19 have posed a considerable challenge to modern society. In particular, the different restrictive actions taken by governments to prevent the spread of the virus have changed the way humans interact and conceive interaction. Due to geographical, behavioral, or economic factors, different sub-groups among a population are more (or less) likely to interact, and thus to spread/acquire the virus. In this work, we present a general multi-group SEIRA model for representing the spread of COVID-19 among a heterogeneous population and test it in a numerical case of study. By highlighting its applicability and the ease with which its general formulation can be adapted to particular studies, we expect our model to lead us to a better understanding of the evolution of this pandemic and to better public-health policies to control it

Exploiting Multifunctionality of M2+ (M=Co2+, Ni2+) Phosphides for Electrocatalysis toward HER, OER and ORR

INTRODUCTION The scarcity and high cost of Pt and Ru/Ir-based noble metal electrocatalysts forces to design alternative low-cost and efficient materials for sustainable energy storage and conversion technologies1. Among them, phosphorus-containing coordination polymers, such as metal phosphonates and phosphinates, have emerged as potential precursors of transition-metal phosphide (TMP) electrocatalysts2. EXPERIMENTAL STUDY Pyrolysis under 5%H2-Ar atmosphere at different temperatures. Electrocatalytic performances were investigated toward Oxygen Evolution Reaction (OER), Oxygen Reduction Reaction (ORR) and Hydrogen Evolution Reaction (HER). RESULTS AND DISCUSSION In this research-work, we report the synthesis and crystal structure of several families of divalent metal (Co2+, Ni2+) derived from the (2-carboxyethyl)(phenyl)phosphinic acid (CEPPA)3 and etidronic acid4. These solids were used as precursor of metal phosphides (M2P/MP) by thermal reduction under 5%H2-Ar atmosphere at different temperatures and their electrocatalytic performances were investigated toward OER, ORR and HER. The relationship between M/P molar ratios and/or the M2+ coordination environment in the precursor structures and the electrocatalytic activity of the prepared metal phosphides will be discussed. The presence/absence of N-doped carbon graphitic matrix in the final materials will be also studie

Preparation and characterization of phosphorus-containing electrocatalyst for OER, HER and ORR.

Phosphorus-based materials, such as transition metal phosphides and phosphates/pyrophosphates, have drawn considerable attention as promising alternatives to noble metal-based catalysts (Pt, Ru, Ir) owing to their widely tunable electrocatalytic properties. In this work, we propose the preparation of electrocatalysts using metal phosphonates of composition M(O3PCH(OH)COOH)·2H2O (M2+= Mn, Fe, Co, and Ni) as precursors. The electrocatalysts were obtained by pyrolytic treatments (N2 or 5%H2-Ar atmospheres) giving rise to a wide family of crystalline and amorphous metal pyrophosphates and phosphides. The full-characterised solids by XRD (laboratory and synchrotron), TEM and XPS were then assayed as catalysts for Oxygen Evolution Reaction (OER), Oxygen Reduction Reaction (ORR) and Hydrogen Evolution Reaction (HER). The amorphous iron(II)-doped cobalt pyrophosphate and crystalline phosphides (MP and/or M2P; and M2+= Co, Ni) exhibited the best performances and long-times stabilities. On the other hand, pair distribution function (PDF) studies, using synchrotron radiation, and XPS analysis reveal that the amorphous/crystalline phases are stable for the HER and ORR processes, while solids evolve to other active phases, such as (oxy)hydroxides, upon conducting the OER. The performance of selected electrocatalysts has been tested for H2 production and monitored by laboratory X-ray computed nanotomography (nanoCT).Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Robotics and augmented reality for elderly assistance

This article presents a tele-assistance system based on augmented reality for elderly people that is integrated in a mobile platform. We propose the use of augmented reality for simplifying interaction with its users. The first prototype has been designed to help in medication control for ederly people. In this paper, both hardware and software architectures are described.The robotic platform is a slightly modified version of the Turtlebot platform. The software is based on ROS for the platform control, and in ArUco for the augmented reality interface. It also integrates other related systems in teleassistance such as VoIP, friendly user interface, etc

New Multifunctional Zirconium(IV) Phosphonates Derivativesas Proton Conductors and Catalysts

Coordination polymers based in phosphonic acid display a wide range of metalcoordination modes. Moreover, the existence of acidic P-OH groups in their structure, as well as of others functionalized organic group such as carboxylic or amino groups, and the presence of coordination and/or lattice water molecules favors the formation of hydrogen bond networks, make them appropriate materials as proton conductors and, therefore, attractive for proton exchange membranes of fuel cells or electrolyzers.The current interest in metal phosphonates, lies in their properties, such as high chemical and thermal stability and high insolubility. In addition, zirconium phosphonates have also been studied for specific purpose such as catalysis, ion exchange and intercalation processes, so on. In this work, we reported the synthesis, characterization and structural determination of three new zirconium phosphonates derived from the phosphonic acids: Zr-PNA (PNA = 5-(dihydroxyphosphoryl) nicotinic acid), Zr-BTMP (BTMP = 1,2,3-[phenelyenetris(methylene)]tris-phosphonic acid) and Zr-PiPthA (PiPthA = 5-(dihydroxyphosphoryl)-isophthalic acid). All zirconium derivatives were synthesized under hydrothermal conditions at 80 ºC in the presence of HF as mineralizing agent. The crystal structures of Zr-PNA and Zr-BTMP have been solved from powder X-ray diffraction data and both solid crystallize in the monoclinic system. Zr-PNA shows a 1D structure formed by chains of ZrO4F2 octahedra bridged by the phosphonates groups of the ligand, while Zr-BTMP exhibits a 3D framework formed by double chains of isolated ZrO6 octahedra bridged by the different phosphonates groups of the ligand. Compound Zr-PiPthA,crystallizes in an orthorhombic unit cell (a = 21.9306 Å, b = 16.6169 Å, c = 3.6462 Å). Their structural features, proton conductivity and ion exchange properties as well as their catalytic behavior toward the one-pot transformation of furfural to other bio-products reaction will be discussed.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Proyectos I+D+i nacionales MAT2016-77648-R y PID2019-110249RB-I00 del MICINN. Grupo de investigación FQM-113 y Proyecto I+D+i de la Junta de Andalucía PAIDI2020- DOC_00272