Active methodologies for deep learning in sustainable development goals

[EN] The general objective of this project was to improve the quality of student learning, from the point of view of a global objective, sustainable development, and therefore aligned with the SDGs (Sustainable Development Goals). It is intended that students achieve deep learning in this area, favouring the transfer of the knowledge acquired to their future professional and social life. This deep learning promotes the integral development of the student, not only from an academic point of view, but also social and ecological. Project Based Learning (PBL), as an active learning methodology, is being widely used as a deep learning strategy. In this project, it has been used in several subjects, from different degrees, schools, and campus. The learning strategies have been evaluated by means of a learning evaluation questionnaire (CEVEAPEU) before and after the application of the PBL. In addition, student satisfaction and generic skills (i.e. ethical, environmental and professional responsibility) have been assessed. The project aims to find a solution a specific real case, such as an environmental or social problem. The results show that PBL has favoured the cooperative work of students and has increased their motivation. The students could select the topics that interest them the most and that they consider important in their professional future. They have worked collaboratively and actively, planning the project, making decisions, implementing it, and evaluating it. The students have ¿acted¿ and the teachers have been advisors or guides, thus promoting intrinsic motivation. This active methodology has allowed students to learn in a collaborative and cooperative way, fostering their motivation and achieving deep learning in environmental aspects.The project of innovation and educational improvement in which this communication is framed has received financial support from the Institute of Education Sciences (ICE) of the Universitat Politècnica de València (UPV) Proyecto de Innovación y Mejora Educativa (PIME/19-20/174 ), Objetivo Agenda 2030 y UPV 2020: Aprendizaje ambiental profundo en la UPV.Romero Gil, I.; Paches Giner, MAV.; Sebastiá-Frasquet, M.; Hernández Crespo, C. (2021). Active methodologies for deep learning in sustainable development goals. IATED Academy. 5506-5513. https://doi.org/10.21125/inted.2021.1115S5506551

Infectivity of Chronic Malaria Infections and Its Consequences for Control and Elimination

Assessing the importance of targeting the chronic Plasmodium falciparum malaria reservoir is pivotal as the world moves toward malaria eradication. Through the lens of a mathematical model, we show how, for a given malaria prevalence, the relative infectivity of chronic individuals determines what intervention tools are predicted be the most effective. Crucially, in a large part of the parameter space where elimination is theoretically possible, it can be achieved solely through improved case management. However, there are a significant number of settings where malaria elimination requires not only good vector control but also a mass drug administration campaign. Quantifying the relative infectiousness of chronic malaria across a range of epidemiological settings would provide essential information for the design of effective malaria elimination strategies. Given the difficulties obtaining this information, we also provide a set of epidemiological metrics that can be used to guide policy in the absence of such data

Assessment of physicochemical and bacteriological parameters in the surface water of the Juan Diaz River, Panama

[EN] Water pollution represents an obstacle to the development of countries since it affects not only the social-economic component but also biodiversity. Little is documented on the state of water quality of the rivers that flow through Panama City, so it is important to be able to determine the degree of contamination whether of natural or anthropogenic origin, in order to take actions that seek to remediate and increase the resilience of wetland ecosystems. For this study, a database of the Ministry of the Environment of Panama of water quality monitoring during the years 2002¿2018 from the Juan Díaz River in the Republic of Panama was used. With these data, a space-temporal analysis was carried out to determine significant differences between the study sites using the Kruskal¿Wallis Test and between seasons (dry and wet) by means of the Mann¿Whitney U Test, and evaluation of the water quality index (WQI). The results indicate that there are significant differences between sites for the parameters of pH, T (°C), conductivity (mS/m), turbidity (NTU), DO (mg/L), BOD5 (mg/L), TS (mg/L), SS (mg/L), DS (mg/L), NO3 (mg/L), PO4 (mg/L), fecal coliforms (CFU/100 mL), T. coliforms (CFU/100 mL) and there are no significant differences between seasons except for the PO4 parameter. Analysing the WQI values, all the stations sampled are in the ranges from 17 (highly polluted) to 88 (acceptable).This research was financed by the Scholarship of the Subprogram of Doctoral and Postdoctoral Scholarships of the National Secretariat of Science and Technology (SENACYT) in conjunction with the Institute for the Training and Use of Human Resources (IFARHU). To the Ministry of the Environment of Panama that provided the data for this study. This research is part of the project Environmental Impact of Multiple Stressors in Aquatic Ecosystems of the Metropolitan Area of Panama, financed by SENACYT.Ortega-Samaniego, QM.; Romero Gil, I.; Paches Giner, MAV.; Dominici, A.; Fraíz, A. (2021). Assessment of physicochemical and bacteriological parameters in the surface water of the Juan Diaz River, Panama. WIT Transactions on Ecology and the Environment (Online). 251:95-104. https://doi.org/10.2495/WS2101019510425

Evaluación del efecto de diferentes cepas de levadura (montrachet, k1-v1116, ec-1118, 71b-1122 y ivc-gre ®) y clarificantes sobre los atributos sensoriales del vino de naranja criolla (citrus sinensis)

Evaluation of effect of various strains of yeast (Montrachet, K1-V1116, EC-1118, 71B-1122 y IVC-GRE ®) and clearer on the sensory attributes orange wine (Citrus sinensis) RESUMEN En este trabajo se evaluó el efecto de diferentes cepas de levadura (Montrachet, K1-V1116, EC-1118, 71B-1122 y IVC-GRE ®) sobre los atributos sensoriales del vino de naranja. Estos atributos fueron medidos utilizando la escala modificada de UC Davis. En una prueba de ordenamiento para determinar el mejor tratamiento de clarificación se determinó que la gelatina por sí sola no causa efecto sobre el atributo apariencia general, la combinación de la gelatina y la microfiltración tienen un efecto positivo sobre la apariencia del vino de naranja. Los cinco vinos tratados con diferentes levaduras presentaron diferencias significativas sobre la puntuación total, acidez total, sabor y calidad en general. En términos del efecto de las levaduras, la evaluación sensorial realizada a los vinos mostró que el de naranja con la levadura K1-V1116 fue el que sobresalió en términos de puntuación en los promedios de casi todos los atributos analizados por el panel sensorial.  Palabras clave: vino de naranja criolla, levaduras, clarificantes, atributos sensoriales.  ABSTRACT In this Wort was evaluated the effect of different types of strains of yeast (Montrachet, K1-V1116, EC-1118, 71B-1122 y IVC-GRE) over the sensorial attributes of orange wines were also studied. These attributes were measured in a modified scale of UC Davis. By using an order test in order to know the best cleared treatment, it was determined that gelatin by itself does not cause any effect over the general quality attribute, but the combination of gelatin and microfiltration, cause a positive effect over the orange wine appearance. The five wines treated with different yeasts presented significant differences on individual scores, total acidy, flavor and general quality of the UC Davis scale. The sensorial evaluation of wines showed that the yeast K1-V1116 produced the best rated orange wine. This wine was significantly different over many attributes when compared with the other wines evaluated by the sensorial panel.  Key words: Orange wines, strains of yeast, sensorial attributes

Pre-existing partner-drug resistance to artemisinin combination therapies facilitates the emergence and spread of artemisinin resistance: a consensus modelling study

BACKGROUND: Artemisinin-resistant genotypes of Plasmodium falciparum have now emerged a minimum of six times on three continents despite recommendations that all artemisinins be deployed as artemisinin combination therapies (ACTs). Widespread resistance to the non-artemisinin partner drugs in ACTs has the potential to limit the clinical and resistance benefits provided by combination therapy. We aimed to model and evaluate the long-term effects of high levels of partner-drug resistance on the early emergence of artemisinin-resistant genotypes. METHODS: Using a consensus modelling approach, we used three individual-based mathematical models of Plasmodium falciparum transmission to evaluate the effects of pre-existing partner-drug resistance and ACT deployment on the evolution of artemisinin resistance. Each model simulates 100 000 individuals in a particular transmission setting (malaria prevalence of 1%, 5%, 10%, or 20%) with a daily time step that updates individuals' infection status, treatment status, immunity, genotype-specific parasite densities, and clinical state. We modelled varying access to antimalarial drugs if febrile (coverage of 20%, 40%, or 60%) with one primary ACT used as first-line therapy: dihydroartemisinin-piperaquine (DHA-PPQ), artesunate-amodiaquine (ASAQ), or artemether-lumefantrine (AL). The primary outcome was time until 0.25 580Y allele frequency for artemisinin resistance (the establishment time). FINDINGS: Higher frequencies of pre-existing partner-drug resistant genotypes lead to earlier establishment of artemisinin resistance. Across all models, a 10-fold increase in the frequency of partner-drug resistance genotypes on average corresponded to loss of artemisinin efficacy 2-12 years earlier. Most reductions in time to artemisinin resistance establishment were observed after an increase in frequency of the partner-drug resistance genotype from 0.0 to 0.10. INTERPRETATION: Partner-drug resistance in ACTs facilitates the early emergence of artemisinin resistance and is a major public health concern. Higher-grade partner-drug resistance has the largest effect, with piperaquine resistance accelerating the early emergence of artemisinin-resistant alleles the most. Continued investment in molecular surveillance of partner-drug resistant genotypes to guide choice of first-line ACT is paramount. FUNDING: Schmidt Science Fellowship in partnership with the Rhodes Trust; Bill & Melinda Gates Foundation; Wellcome Trust

Helicobacter Pylori Infection of Lingual Dorsum: Risk of Gastric Infection Helicobacter Pylori

The role of Helicobacter pylori in the oral cavity has been researched/studied by our study group for the last 28 years. At that time, there wasn’t a clinical entity that included Burning, Lingual Papillary Hypertrophy and Halitosis (BHH) together. However, the patients who presented this condition did not find an effective response to their demand. In some cases, a therapeutic diagnosis of Chronic Candidiasis was made in relation to Lingual Papillary Hypertrophy and they were referred to Periodontics Services for their Chronic Halitosis for evaluation and treatment. Many of these patients did not resolve their clinical symptoms, in their subsequent check-ups. The burning of the mouth was usually diagnosed as Burning Mouth Syndrome. A considerable percentage (60%) of these patients reported suffering from chronic gastric discomfort without receiving treatment, because when they consulted with the physician or with the gastroenterologist, their symptoms were associated with stress.Fil: Muiños, Antonio Luis. Universidad de Buenos Aires. Facultad de Odontología; ArgentinaFil: Harada, L.. Universidad de Buenos Aires. Facultad de Odontología; ArgentinaFil: Diaz, M. Universidad de Buenos Aires. Facultad de Odontología; ArgentinaFil: Labbrozzi, M.. Universidad de Buenos Aires. Facultad de Odontología; ArgentinaFil: Turon, Pablo Javier. Universidad de Buenos Aires. Facultad de Odontología; ArgentinaFil: Lence, Adriana Nora. Universidad de Buenos Aires. Facultad de Odontología; ArgentinaFil: Aguas, Silvia Cristina. Universidad de Buenos Aires. Facultad de Odontología; ArgentinaFil: Denninghoff, Valeria Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Odontología; ArgentinaFil: Adler, Lidia Isabel. Universidad de Buenos Aires. Facultad de Odontología; Argentin

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Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold

Funding Information: We thank Jorge Carneiro, Ben Cooper, José Ferreira Machado, Kate Langwig, Robert MacKay, Paul McKeigue, Antonio Montalbán, Joe Schoneman, Laurette Tuckerman and Simon Wood for valuable discussions throughout this study. At the University of Strathclyde, Matthew Burns, Zhichun Jiang, Naithan McNeil, Lauren Schofield and Aidan West conducted their final year BSc projects on Communicating Mathematics and Statistics, supervised by M.G.M.G., on topics related to this study while this paper was being written. This has contributed clarity to our presentation. The models presented here were first submitted to medRxiv on 27 April 2020 and posted soon after. Applications to the COVID-19 pandemic and subsequent updates followed. We are grateful to the preprint server for making our work available to interested readers in real time. M.U.F. received funding from Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil. Funding Information: We thank Jorge Carneiro, Ben Cooper, Jos? Ferreira Machado, Kate Langwig, Robert MacKay, Paul McKeigue, Antonio Montalb?n, Joe Schoneman, Laurette Tuckerman and Simon Wood for valuable discussions throughout this study. At the University of Strathclyde, Matthew Burns, Zhichun Jiang, Naithan McNeil, Lauren Schofield and Aidan West conducted their final year BSc projects on Communicating Mathematics and Statistics, supervised by M.G.M.G. on topics related to this study while this paper was being written. This has contributed clarity to our presentation. The models presented here were first submitted to medRxiv on 27 April 2020 and posted soon after. Applications to the COVID-19 pandemic and subsequent updates followed. We are grateful to the preprint server for making our work available to interested readers in real time. M.U.F. received funding from Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico, Brazil. Publisher Copyright: © 2022 Elsevier LtdIndividual variation in susceptibility and exposure is subject to selection by natural infection, accelerating the acquisition of immunity, and reducing herd immunity thresholds and epidemic final sizes. This is a manifestation of a wider population phenomenon known as “frailty variation”. Despite theoretical understanding, public health policies continue to be guided by mathematical models that leave out considerable variation and as a result inflate projected disease burdens and overestimate the impact of interventions. Here we focus on trajectories of the coronavirus disease (COVID-19) pandemic in England and Scotland until November 2021. We fit models to series of daily deaths and infer relevant epidemiological parameters, including coefficients of variation and effects of non-pharmaceutical interventions which we find in agreement with independent empirical estimates based on contact surveys. Our estimates are robust to whether the analysed data series encompass one or two pandemic waves and enable projections compatible with subsequent dynamics. We conclude that vaccination programmes may have contributed modestly to the acquisition of herd immunity in populations with high levels of pre-existing naturally acquired immunity, while being crucial to protect vulnerable individuals from severe outcomes as the virus becomes endemic.publishersversionpublishe

Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold

Individual variation in susceptibility and exposure is subject to selection by natural infection, accelerating the acquisition of immunity, and reducing herd immunity thresholds and epidemic final sizes. This is a manifestation of a wider population phenomenon known as “frailty variation”. Despite theoretical understanding, public health policies continue to be guided by mathematical models that leave out considerable variation and as a result inflate projected disease burdens and overestimate the impact of interventions. Here we focus on trajectories of the coronavirus disease (COVID-19) pandemic in England and Scotland until November 2021. We fit models to series of daily deaths and infer relevant epidemiological parameters, including coefficients of variation and effects of non-pharmaceutical interventions which we find in agreement with independent empirical estimates based on contact surveys. Our estimates are robust to whether the analysed data series encompass one or two pandemic waves and enable projections compatible with subsequent dynamics. We conclude that vaccination programmes may have contributed modestly to the acquisition of herd immunity in populations with high levels of pre-existing naturally acquired immunity, while being crucial to protect vulnerable individuals from severe outcomes as the virus becomes endemic