ABSTRACT
The whole world has been affected by the pandemic generated by covid-19, creating labor problems in all professional fields. The present study is focused on the legal field in the city of Tulcan, due to the con-tention of several judicial processes.During this time many lawyers have had problems to achieve bonding with their client, so many professio-nals lost some cases because of the pandemic. In the early days of containment many of them did not have enough knowledge to be able to implement the technology in their work, to be able to achieve a trial in a correct way, as they were used to the traditional trial. Through a qualitativequantitative research, we propose results and conclusions that allow us to face possible lapses to reach effectiveness in the juridical fields.
ABSTRACT
In the context of the COVID-19 health emergency, it is necessary to have devices that help identify symptoms that indicate whether a person has COVID-19. As one of the main symptoms is fever, which can be identified by measuring body temperature, different non-contact measurement methods are being widely used as an alternative to traditional contact thermometers. However, readings with thermographic cameras present limitations in terms of high dependence on the environment. For this reason, this article aims to validate the temperature measurements of a thermographic camera by comparing different models using as a reference standard the readings of a calibrated medical infrared thermometer. For this purpose, 463 measurements were analyzed using an infrared thermometer and a thermographic camera simultaneously. As significant differences were observed between the measurements made using statistical analyses with (p< 0.05 ), models were developed establishing weighting and compensation criteria to obtain similar readings between the values measured from the thermal images and the infrared thermometer. For uncertainty estimation, linear and non-linear regression models such as artificial neural networks were tested, selecting the best model that allows reducing the variation among the readings. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Traditionally, ethnic peoples have been marginalized in different areas of life, including work. These peoples, due to their economy, have been forced to migrate to cities and seek employment. Currently, the COVID-19 situation has imposed a significant social margin. The economy has been greatly affected in all social classes, especially in the poorest ones such as ethnic peoples. That is why it is necessary to study this phenomenon in this new Ecuadorian reality. Therefore, the objective of this work is established: to analyze this situation through the PESTEL technique and the Hierarchical Analysis Process in order to offer help to the government's decision making process. It is considered that if a hierarchy of the factors affecting this phenomenon is established, it will help to take strategic solutions based on the real needs of the population. By way of conclusion, the results of this analysis conducted and suggested strategies will be presented.