Dataset supporting the estimation and analysis of high spatial resolution inventories of atmospheric emissions from several sectors in Argentina

This data article provides an extensive and complete description of the high spatial resolution inventory (HSRI) estimation shown in the article “High resolution inventory of atmospheric emissions from livestock production, agriculture, and biomass burning sectors of Argentina” Puliafito et al. [1], and its comparison with several sectors in Argentina. The dataset provided are highresolution inventories (0.025 0.025 lat/long) for CO2, CH4, N2O and another 8 species from livestock, biomass burning, agriculture and another 12 sectors (based on 2016 year). In addition, we also provide the database for 2014 using the same methodology. The dataset presented are necessary to improve input inventories for air quality models. Also, they are better to inform and guide the stakeholders, in making decisions related to environmental protection and health promotion, as well as assessing the environmental performance in terms of atmospheric emissions of an activity, sector or region in ArgentinaFil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Bolaño Ortiz, Tomas Rafael. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Berná Peña, Lucas Luciano. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica; ArgentinaFil: Pascual Flores, Romina María. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentin

Comparative study of treatment interventions for patellar tendinopathy: A protocol for a randomised controlled trial

Introduction Patellar tendinopathy is a degenerative disease of the patellar tendon, which affects athletes from a variety of sports, and is especially predominant in sports involving high-impact jumping. The aim of this study is to determine the additional effect of two interventions combined with eccentric exercise and compare which one is the most effective at short-term and long-term follow-up for patients with patellar tendinopathy. Methods and analysis This study is a randomised controlled trial with blinded participants. Measurements will be carried out by a specially trained blinded assessor. A sample of 57 patients with a medical diagnosis of patellar tendinopathy will participate in this study and will be divided into three treatment groups. Eligible participants will be randomly allocated to receive either: (a) treatment group with percutaneous needle electrolysis, (b) treatment group with dry needling or (c) treatment group with placebo needling. In addition, all groups will perform eccentric exercise. Functionality and muscle strength parameters, pain, ultrasound appearances and patient perceived quality of life shall be evaluated using the Victorian Institute of Sports Assessment for patellar (VISA-P), jump tests, Visual Analogue Scale, ultrasound images and Short Form-36 (SF-36), respectively. Participants will be assessed at baseline, at 10 weeks and at 22 weeks after baseline. The expected findings will allow us to advance in the treatment of this injury, as they will help determine whether a needling intervention has additional effects on an eccentric exercise programme and whether any of the needling modalities is more effective than the other

Atmospheric methane emissions for Argentina: comparison with TROPOMI satellite measurements

Methane emissions have very important effect on global radiative forcing. Therefore, reducing these emissions has been proposed as an effective short-term strategy to mitigate global warming, in parallel with reductions in long-lived carbon dioxide (CO2) for long- term temperature stabilizations. In this context, Argentina emits 3645 Gg of CH4 mainly from livestock production, biomass burning and natural gas production. Since 2018, TROPOMI instruments provide global coverage on methane column-average mole fraction of dry air (XCH4), and height profiles of methane concentrations. We compare two available methane inventory: a national (a high resolution of own ellaboration: GEAA) and an international (EDGAR) emissions database with TROPOMI measurements. By performing inverse satellite retrieval we evaluate the ability of remote sensing information to detect possible hotspot methane emissions and compare these results with the two inventories. From these analyzes, we observe that the latitudinal averages of the continental sector increase at a rate of 10 ppb/degree, from south to north, while the maritime sector remains constant. From a temporary perspective, the average monthly concentration amplitude range varies 40 to 50 ppb, with minimum values in March and maximum values in September.Fil: Puliafito, Salvador Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Berná Peña, Lucas Luciano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Lopez Noreña, Ana Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Pascual Flores, Romina María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Bolaño Ortiz, Tomas Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaIEEE Latin American GRSS & ISPRS Remote Sensing ConferenceSantiagoChileInternational Society for Photogrametry and Remote SensingInstitute of Electrical and Electronics Engineer

The Area of Pressure-Induced Referred Pain Is Dependent on the Intensity of the Suprathreshold Stimulus: An Explorative Study

Objective: To investigate the pain referral area (number of pixels) and extent (vector length) as elicited from increasing intensities of pressure-induced pain at the shoulder. Design: Cross-sectional design. Setting: Clinical laboratory setting. Participants: Twenty-two healthy men and women participated in two experimental sessions. Methods: Delayed onset of muscle soreness (DOMS) was induced in the dominant shoulder and assessed 24 hours later. Participants rated the level of DOMS on a 6-point Likert scale. Four different intensities (pressure pain threshold [PPT]+20%, PPT+30%, PPT+40%, and PPT+50%) were applied to the infraspinatus in a randomized, balanced fashion for 60 seconds from low to high intensity or vice versa. The resulting location, area, and extent of referred pain as drawn by the participants on a digital body chart were extracted and expressed in pixels. The extent of pain was defined as the vector length extending from the ipsilateral earlobe to the most distal location of the pain. Results: The referred pain area from PPT+20% was smaller than PPT+30%, PPT+40%, and PPT+50%. The extent of referred pain did not differ between the pressure pain intensities. Conclusions: Pressure intensity at PPT+30%, but no more, produces the greatest referred pain area as compared with the traditional pressure intensity of PPT+20%. Thus, the intensity of PPT+30% may be ideal for exploring the mechanisms of referred pain. The extent of the pain represents an independent expression of the intensity of the provoking stimulus and may be more closely related to the location of the stimulus

Atmospheric emission changes and their economic impacts during the COVID-19 pandemic lockdown in Argentina

This work studied the emission changes and their economic effects during the Argentina’s COVID-19 pandemic lockdown. We have analyzed the atmospheric emissions of the main greenhouse gases (GHG: CO2, CH4, and N2O) and other pollutants (NOx, CO, NMVOC, SO2, PM10, PM2.5, and BC) from various sectors such as private road transport, freight, public transport, agriculture machines, thermal power plants, residential, commercial, and governmental from January 2005 to April 2020. We focused on the months with the greatest restrictions of COVID-19 pandemic in Argentina (March and April 2020). The results show emissions reduction up to 37% for PM10, PM2.5, and BC, consistent with observed from satellite images and up to 160% for NOx, CO, NMVOC, and SOx. However, the residential sector has increased their emissions by 8% for the same period. As a consequence, 3337 Gg of CO2eq of GHG emissions were reduced, corresponding to a 20% reduction compared to the same period in 2019. Besides, a 26% reduction in gross domestic product (GDP) was observed due to the COVID-19 pandemic. Our results show that each Tg of GHG reduction was associated to a 0.16% reduction of the GDP from the analyzed sectors. Thus, without a voluntary reduction in consumption associated to significant cultural and technological changes, reduction in GHG would still be associated with deepening inequalities and asymmetries between high and low consumption sectors (i.e., with better (lesser) education, health, and job opportunities), even within countries and cities.Fil: Bolaño Ortiz, Tomas Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; ArgentinaFil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Berná Peña, Lucas Luciano. Universidad Tecnológica Nacional; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica; ArgentinaFil: Pascual Flores, Romina María. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional; ArgentinaFil: Urquiza, Josefina. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Camargo Caicedo, Yiniva. Universidad del Magdalena; Colombi

High resolution seasonal and decadal inventory of anthropic gas-phase and particle emissions for Argentina

This work presents the integration of a gas-phase and particulate atmospheric emission inventory (AEI) for Argentina in high spatial resolution (0.025° × 0.025°; approx. 2.5 km × 2.5 km) considering monthly variability from 1995 to 2020. The new inventory, called GEAA-AEIv3.0M, includes the following activities: energy production, fugitive emissions from oil and gas production, industrial fuel consumption and production, transport -road, maritime and air-, agriculture, livestock production, manufacturing, residential, commercial and biomass + agricultural-waste burning. The following species, grouped by atmospheric reactivity, are considered: i) Greenhouse Gases (GHG): CO2, CH4 and N2O; ii) Ozone Precursors: CO, NOx (NO + NO2) and Non-Methane Volatile Organic Compounds (NMVOC); iii) Acidifying Gases: NH3 and SO2; and iv) Particulate Matter (PM): PM10, PM2.5, Total Suspended Particle (TSP) and Black-Carbon (BC). The main objective of the GEAA-AEIv3.0M high-resolution emission inventory is to provide temporal resolved emission maps to support air quality and climate modeling oriented to evaluate pollutant mitigation strategies by local governments. This is of major concern especially in countries where air quality monitoring networks are scarce, and the development of regional and seasonal emissions inventories would result in remarkable improvements in the time + space chemical prediction achieved by air quality models. Despite distinguishing among different sectoral and activity databases as well as introducing a novel spatial distribution approach based on census radii, our high-resolution GEAA-AEIv3.0M show equivalent national-wide total emissions compared to the Third National Communication of Argentina (TNCA), which compiles annual GHG emissions from 1990 through 2014 (agreement within ±4 %). However, the GEAA-AEIv3.0M includes acidifying gases and PM species not considered in TNCA. Spatial and temporal comparisons were also performed against EDGAR HTAPv5.0 inventory for several pollutants. The agreement was acceptable within less than 30 % for most of the pollutants and activities, although a > 90 % discrepancy was obtained for methane from fuel production and fugitive emissions and > 120 % for biomass burning. Finally, the updated seasonal series clearly showed the pollution reduction due to the COVID-19 lockdown during the first quarter of year 2020 with respect to same months in previous years. Through an open access data repository, we present the GEAA-AEIv3.0M inventory, as the largest and more detailed spatial resolution dataset for the Argentine Republic, which includes monthly gridded emissions for 12 species and 15 sectors between 1995 and 2020. The datasets are available at http://dx.doi.org/10.17632/d6xrhpmzdp.1, under a CC-BY 4 license (Puliafito et al., 2021).Fil: Puliafito, Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Bolaño Ortiz, Tomás Rafael. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Fernandez, Rafael Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Interdisciplinario de Ciencias Básicas. - Universidad Nacional de Cuyo. Instituto Interdisciplinario de Ciencias Básicas; ArgentinaFil: Berná Peña, Lucas Luciano. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Pascual Flores, Romina María. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Urquiza, Josefina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Lopez Noreña, Ana Isabel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Tames, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentin

High-resolution seasonal and decadal inventory of anthropogenic gas-phase and particle emissions for Argentina

This work presents the integration of a gas-phase and particulate atmospheric emission inventory (AEI) for Argentina in high spatial resolution (0.025×0.025; approx. 2.5km×2.5 km) considering monthly variability from 1995 to 2020. The new inventory, called GEAA-AEIv3.0M, includes the following activities: Energy production, fugitive emissions from oil and gas production, industrial fuel consumption and production, transport (road, maritime, and air), agriculture, livestock production, manufacturing, residential, commercial, and biomass and agricultural waste burning. The following species, grouped by atmospheric reactivity, are considered: (i) greenhouse gases (GHGs)-CO2, CH4, and N2O; (ii) ozone precursors-CO, NOx (NO+NO2), and non-methane volatile organic compounds (NMVOCs); (iii) acidifying gases-NH3 and SO2; and (iv) particulate matter (PM)-PM10, PM2.5, total suspended particles (TSPs), and black carbon (BC). The main objective of the GEAA-AEIv3.0M high-resolution emission inventory is to provide temporally resolved emission maps to support air quality and climate modeling oriented to evaluate pollutant mitigation strategies by local governments. This is of major concern, especially in countries where air quality monitoring networks are scarce, and the development of regional and seasonal emissions inventories would result in remarkable improvements in the time and space chemical prediction achieved by air quality models. Despite distinguishing among different sectoral and activity databases as well as introducing a novel spatial distribution approach based on census radii, our high-resolution GEAA-AEIv3.0M shows equivalent national-wide total emissions compared to the Third National Communication of Argentina (TNCA), which compiles annual GHG emissions from 1990 through 2014 (agreement within ±7.5%). However, the GEAA-AEIv3.0M includes acidifying gases and PM species not considered in TNCA. Temporal comparisons were also performed against two international databases: Community Emissions Data System (CEDS) and EDGAR HTAPv5.0 for several pollutants; for EDGAR it also includes a spatial comparison. The agreement was acceptable within less than 30% for most of the pollutants and activities, although a >90% discrepancy was obtained for methane from fuel production and fugitive emissions and >120% for biomass burning. Finally, the updated seasonal series clearly showed the pollution reduction due to the COVID-19 lockdown during the first quarter of year 2020 with respect to same months in previous years. Through an open-access data repository, we present the GEAA-AEIv3.0M inventory as the largest and more detailed spatial resolution dataset for the Argentine Republic, which includes monthly gridded emissions for 12 species and 15 stors between 1995 and 2020.Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bolanõ Ortiz, Tomás R.. Universidad Tecnológica Nacional; Argentina. Universidad Técnica Federico Santa María; ChileFil: Fernandez, Rafael Pedro. Universidad Nacional de Cuyo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Berná, Lucas L.. Universidad Tecnológica Nacional; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica; ArgentinaFil: Pascual Flores, Romina María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional; ArgentinaFil: Urquiza, Josefina. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Lopez Noreña, Ana Isabel. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo; ArgentinaFil: Tames, María Florencia. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentin

Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown

This work studied the spread of COVID-19, the meteorological conditions and the air quality in a megacity from two viewpoints: (1) the correlation between meteorological and air quality (PM10 and NO2) variables with infections and deaths due COVID-19, and (2) the improvement in air quality. Both analyses were performed for the pandemic lockdown due to COVID-19 in the City of Buenos Aires (CABA), the capital and the largest city in Argentina. Daily data from temperature, rainfall, average relative humidity, wind speed, PM10, NO2, new cases and deaths due COVID-19 were analyzed. Our findings showed a significant correlation of meteorological and air quality variables with COVID-19 cases. The highest temperature correlation occurred before the confirmation day of new cases. PM10 presented the highest correlation within 13 to 15 days lag, while NO2 within 3 to 6 days lag. Also, reductions in PM10 and NO2 were observed. This study shows that exposure to air pollution was significantly correlated with an increased risk of becoming infected and dying due to COVID-19. Thus, these results show that the NO2 and PM10 levels in CABA can serve as one of the indicators to assess vulnerability to COVID-19. In addition, decision-makers can use this information to adopt strategies to restrict human mobility during the COVID-19 pandemic and future outbreaks of similar diseases in CABA.Fil: Bolaño Ortiz, Tomas Rafael. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pascual Flores, Romina María. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Camargo Caicedo, Yiniva. Universidad del Magdalena; ColombiaFil: Berná Peña, Lucas Luciano. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica; ArgentinaFil: Ruggeri, María Florencia. Universidad Tecnica Federico Santa Maria; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lopez Noreña, Ana Isabel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Tames, María Florencia. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cereceda Balic, Francisco. Universidad Tecnica Federico Santa Maria; Chil

Teaching biological rhythms in endocrinology: cortisol and wrist temperature. Póster

This work has been developed as part of the Endocrinology and Metabolism student’s laboratory formation from Biology degree at the University of Murcia. Endocrinology and Metabolism is an elective oneterm course that is taught in the fourth year (4.5 ECTS) for "Biosanitary and Biotechnology" intensification. The course focuses on the study of global and intermediary human metabolism and hormonal regulation, both under normal and special situations. It is our objective to get undergraduate students of Endocrinology and Metabolism with the importance of hormonal diurnal fluctuations in endocrine systems through their involvement in an innovative research program. In addition, with the participation of PhD student in this program, we try to improve their skills in innovative teaching. In humans cortisol circadian rhythm peaks in the morning and shows the lowest levels during the midnight. This fluctuation of cortisol plasma level is reflected in saliva, allowing a simple, non invasive and unstressful sample collection. The influence of different factors, exercise, schedule and weekend shifts, on the rhythmic pattern of cortisol has been studied along various years.Campus Mare Nostrum, Universidad Politécnica de Cartagena, Universidad de Murcia, Región de Murci

Room Escape: Propuesta de Gamificación en el Grado de Fisioterapia

[EN] In line with current learning theories, teaching in Higher Education increasingly employs approaches and activities that place the learner at the centre of the learning-teaching process. One such approach is gamification: the use of principles normally encountered in games in a non-game context for educational purposes. This paper considers the use of a gamification activity, Room Escape. The activity is used in the context of the subject General Procedures in Physiotherapy in the Physiotherapy degree programme at Universidad San Jorge. A Case-based Learning approach was adopted and the habitual characteristics of Escape Room activities were adapted to facilitate the desired learning outcomes. An anonymous, online questionnaire measuring the students perceptions of their learning gains and the efficacy of the activity as a learning tool, was completed by students after the activity. Results show a positive assessment, particularly in terms of the degree of motivation and effort made by students to complete the task, aspects key to successful learning. Learners recognized that they could have been better prepared for the activity but that it was indeed an activity that facilitated learning with its case-study approach and allowed them to consolidate their understanding of concepts related to the subject.[ES] En línea con las teorías de aprendizaje actuales, la enseñanza en la Educación Superior emplea cada vez más enfoques y actividades que sitúan al alumno en el centro del proceso de aprendizaje-enseñanza. Uno de estos enfoques es la gamificación: el uso de principios normalmente encontrados en juegos en un contexto ajeno al juego con fines educativos. Este trabajo considera el uso de una actividad de gamificación, Room Escape. La actividad se utiliza dentro de la asignatura Procedimientos Generales en Fisioterapia en el Grado de Fisioterapia de la Universidad San Jorge. Se adoptó un enfoque de Aprendizaje Basado en Casos y las características habituales del Room Escape fueron adaptadas para facilitar los resultados de aprendizaje deseados. Se realizó un cuestionario anónimo online para evaluar las percepciones de los estudiantes sobre sus ganancias de aprendizaje y la eficacia de la actividad como herramienta de aprendizaje. Los resultados muestran una evaluación positiva, particularmente en términos del grado de motivación y esfuerzo, aspectos clave para el éxito del aprendizaje. Los estudiantes reconocieron que podrían haberse preparado mejor pero que la actividad facilitó el aprendizaje con su enfoque de estudio de casos permitiéndoles consolidar su comprensión de conceptos relacionados con el tema.Jiménez Sánchez, C.; Lafuente Ureta, R.; Ortiz Lucas, M.; Bruton, L.; Millán Luna, V. (2017). Room Escape: Propuesta de Gamificación en el Grado de Fisioterapia. En In-Red 2017. III Congreso Nacional de innovación educativa y de docencia en red. Editorial Universitat Politècnica de València. 537-551. https://doi.org/10.4995/INRED2017.2017.6855OCS53755