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Este artículo se enfoca en tres poemas del escritor peruano Jorge Eduardo Eielson. La adscripción conveniente para efectuarla se basa en las categorías fluctuadas de la retórica general textual, que ejercen una taxonomía que comprende múltiples figuras retóricas según coincidencias temáticas y axiomáticas. Para este caso, en una primera instancia, recurro al concepto de los campos figurativos, que desarrolla Stefano Arduini. Luego, retomo el paradigma de Pierre Fontanier en torno a la tipología de figuras. Para finiquitar, opto por la adquisición de la metáfora orientacional, fundamentada por Lakoff y Johnson. El objetivo de este trabajo es realizar un análisis pormenorizado, supeditado a cada propuesta mencionada. Así, se explicarán las distintas percepciones que se extraen de la cosmovisión del autor.

We present seeing measurements at OAUNI site gathered on 2016 and 2017 campaigns using V and R broadband filters. In order to quantify the seeing we used the full-width-at-half-maximum from stellar profiles on photometric sequences during the observational windows of our supernovae program. A typical median seeing of 1.8 arcsec was found on 2016 and a worst value of 2.0 arcsec on 2017. The last one was probably affected by anomalous conditions related to the 2017 extreme climatic phenomena. The monthly first quartile analysis indicates that best seeing conditions can be achieved at a level of 1.5 arcsec. In general, our results indicate a reasonable sky quality for the OAUNI site. Comment: 7 pages, 3 figures, submitted to Journal of Physics: Conference Series

The Internet generates large volumes of data at a high rate, in particular, posts on social networks. Although social network data have numerous semantic adulterations and are not intended to be a source of geo-spatial information, in the text of posts we find pieces of important information about how people relate to their environment, which can be used to identify interesting aspects of how human beings interact with portions of land based on their activities. This research proposes a methodology for the identification of land uses using Natural Language Processing (NLP) from the contents of the popular social network Twitter. It will be approached by identifying keywords with linguistic patterns from the text, and the geographical coordinates associated with the publication. Context-specific innovations are introduced to deal with data across South America and, in particular, in the city of Arequipa, Peru. The objective is to identify the five main land uses: residential, commercial, institutional-governmental, industrial-offices and unbuilt land. Within the framework of urban planning and sustainable urban management, the methodology contributes to the optimization of the identification techniques applied for the updating of land use cadastres, since the results achieved an accuracy of about 90%, which motivates its application in the real context. In addition, it would allow the identification of land use categories at a more detailed level, in situations such as a complex/mixed distribution building based on the amount of data collected. Finally, the methodology makes land use information available in a more up-to-date fashion and, above all, avoids the high economic cost of the non-automatic production of land use maps for cities, mostly in developing countries.

Given the short span of instrumental precipitation records in the South American Altiplano, longer-term hydroclimatic records are needed to understand the nature of climate variability and to improve the predictability of precipitation, a key natural resource for the socioeconomic development in the Altiplano and adjacent arid lowlands. In this region grows Polylepis tarapacana, a long-lived tree species that is very sensitive to hydroclimatic changes and has been widely used for tree-ring studies in the central and southern Altiplano. However, in the northern sector of the Peruvian and Chilean Altiplano (16–19∘ S) still exists a gap of high-resolution hydroclimatic data based on tree-ring records. Our study provides an overview of the temporal evolution of the late-spring–mid-summer precipitation for the period 1625–2013 CE at the northern South American Altiplano, allowing for the identification of wet or dry periods based on a regional reconstruction from three P. tarapacana chronologies. An increase in the occurrence of extreme dry events, together with a decreasing trend in the reconstructed precipitation, has been recorded since the 1970s in the northern Altiplano within the context of the last ∼4 centuries. The average precipitation over the last 17 years stands out as the driest in our 389-year reconstruction. We reveal a temporal and spatial synchrony across the Altiplano region of dry conditions since the mid-1970s. Independent tree-ring-based hydroclimate reconstructions and several paleoclimatic records based on other proxies available for the tropical Andes record this synchrony. The influence of El Niño–Southern Oscillation (ENSO) on the northern Altiplano precipitation was detected by our rainfall reconstruction that showed past drier conditions in our study region associated with ENSO warm events. The spectral properties of the rainfall reconstruction showed strong imprints of ENSO variability at decadal, sub-decadal, and inter-annual timescales, in particular from the Pacific NIÑO 3 sector. Overall, the recent reduction in precipitation in comparison with previous centuries, the increase in extreme dry events and the coupling between precipitation and ENSO variability reported by this work is essential information in the context of the growing demand for water resources in the Altiplano. This study will contribute to a better understanding of the vulnerability and resilience of the region to the projected evapotranspiration increase for the 21st century associated with global warming.

Abstract An experimental bench was designed and developed to carry out experimental tests of a Diesel cycle engine using gasoline as fuel. The engine (originally a diesel cycle) was fitted with different devices to run in HCCI mode. These modifications did not affect the engine's original condition, which can be returned to diesel mode at any time. Instrumentation was set up to measurement the temperature (exhaust gases, inlet charge inlet, lubricating oil), pressure (intake air, gasoline inlet, combustion chamber), torque, rpm, air flow and fuel flow. The engine was subjected to different operating conditions and control parameters to study and analyze the effects of engine speed, air-fuel ratio and mixture temperature (air-gasoline). The results indicate that higher temperatures or amounts of fuel cause an earlier ignition phase, which would have a direct influence on the beginning of combustion. The results also indicate that, by increasing the amount of fuel and varying the inlet temperature, more useful energy is generated until reaching the limit of the detonation zone. Small gains in combustion efficiency translate into significant energy savings, also reducing exhaust gas pollution levels.

In this Paper we analyze a model proposed recently with the purpose of studying the effects of rotation on the interaction of a point charge with a uniform magnetic field in an elastic medium with a spiral dislocation. In particular we focus on the approximation proposed by the authors that consists of changing the left boundary condition in order to obtain analytical results. We show that this approximation leads to quantitative and qualitative errors, the most relevant one being a wrong prediction of the level spacing.

Abstract The Covid-19 pandemic has greatly impacted Latin America, the continent with the highest number of cases and Covid-related deaths. Strict confinement conditions at the beginning of the pandemic put to a halt recycling activities and augmented the consumption of plastic as a barrier to stop the spread of the virus. In Latin America the lack of data to understand the waste management dynamics difficult the adjustment of waste management strategies to cope with the Covid-19. As a novel contribution to the waste management data gap for Latin America, this study uses a virtual and participatory methodology that collects and generates information on household solid waste generation and composition. Data was collected between June and November 2021 in six countries in the Latin America region, with a total of 503 participants. Participants indicated that the pandemic motivated them to initiate or increase waste reduction (41%), waste separation (40%) and waste recovery (33%) activities. 43% of participants perceived and increase on their total volume of waste; however, the quantitative data showed a decrease on household waste generation in Peru (-31%), Honduras (-25%) and Venezuela (-82%). No changes in waste composition were observed. Despite the limited sample size, this data provides a much-needed approximation of household waste generation and composition in a pandemic situation during 2021.

Abstract Aim: As a follow-up to the international survey conducted in April 2020, this survey aims to provide a situational snapshot of the COVID-19 impact on nuclear medicine services worldwide, one year later. The survey was designed to determine the impact of the pandemic at two specific time-points: June and October 2020 and compare them to the previously collected data.Materials and Methods: A web-based questionnaire, in the same format as the April 2020 survey was disseminated to nuclear medicine facilities worldwide. Survey data was collected using a secure software platform hosted by the International Atomic Energy Agency (IAEA); it was made available for 6 weeks, from November 23 to December 31, 2020.Results: From 505 replies from 96 countries, data was extracted from 355 questionnaires (of which 338 were fully completed). The responses came from centres evenly distributed in different regions of the world and with different income status. Regional differences and challenges across the world were identified and analysed. Globally, the volume of nuclear medicine procedures decreased by 73.3% in June 2020 and 56.9% in October 2020. Among the nuclear medicine procedures, oncological PET studies showed less of a decline in utilization compared to conventional nuclear medicine and particularly nuclear cardiology. The impact was also significantly less in high-income countries. A trend towards a return to the pre-COVID-19 situation of the supply chains of radioisotopes, generators, and other essential materials was evident.Conclusion: The impact of the COVID-19 pandemic was associated with a significant reduction in nuclear medicine diagnostic and therapeutic procedures throughout 2020. In June, the global decline recorded in the survey was greater than in October when there was a slight improvement. However, the total number of procedures continued below that recorded in April 2020, and less than half of the volumes normally carried out before the pandemic