Visual Fatigue and Technostress in AgroIndustries Standards: Case Study

Introduction: The test applied to the students of the Agroindustry career of the National University of Chimborazo presents previous visual diseases in: 33.3 % myopia, 5.1 % astigmatism, 0.5 % presbyopia, referring to the use of the computer we have: 54.9 % of 2 to 4 hours, 39 % of 4 to 8 hours and 6.2 % more than 8 hours which can cause visual fatigue. This research aims to determine the level of visual computer syndrome when applying the CVSS 17 test and technostress by applying the NTP 730 test. The reliability of the instruments is 0. 693 good and 0.959 mu and good, and the reliability of 0.916 and 0.931 which is very good respectively. The result of visual fatigue is 29.2% symptomatic and 70.8% asymptomatic. Regarding technostress, 55.4% is low, 35.9% is medium, and 8.7% is high. The conclusions are determined: the existence of visual fatigue determines the presence of ocular and visual symptoms which will cause short-term affections to the organ of sight and referring to technostress there is resistance to the use of technology. The presence of visual fatigue is associated with the tele study due to the high frequency of computer use and other environmental factors, theCovid 19 pandemic is one of the factors that has contributed to the phenomenon under study, so it is necessary to implement preventive measures.Copyright © 2023, Anka Publishers. All rights reserved.

Design of Social Distance Monitoring Approach Using Wearable Smart Tags in 5G IoT Environment During Pandemic Conditions

Corona virus disease 2019 (COVID-19) is an enduring extensive pandemic disease globally that infected several million people, occasionally leads to fatal.COVID-19 transfers from one person to another, the prevention is possible only through maintaining social distance.This paper proposed Internet of Things (IoT)-based smart wearable tags for social distance monitoring to prevent COVID-19.The advantage of the proposed system is that it alarms the person with the proposed tag and also entries the data in the IoT ledger of the channel for further analysis.The proposed system responds adequately so that social distancing can be maintained and pandemics can be prevented from further spreading.The analysis has been carried out using an experimental setup, and Thingspeak is used as an IoT channel for data analytics.The result shows the successfulness of the developed system in the prevention of pandemics with social distancing monitoring. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Virtual and mobile application education in telemedicine, biosecurity, psychology applied to COVID - 19: Addie methodology

In the present research work on a Virtual Education Center and mobile application, Telemedicine, Biosafety, Applied Psychology before Covid 19 through the ADDIE methodology is addressed through this design at the National University of Chimborazo and the Ministry of Public Health of Ecuador that require it for the learning of Covid 19 in the aspects mentioned above, as well as making an early diagnosis of the object of study, the Analysis, Design, Development, Implementation and Evaluation (ADDIE) methodology will be used for its development and the use of agile methodologies for the mobile application the problem It happens that many people have a lack of knowledge about the causes and how to make a diagnosis of the presence and contagion of the virus. Hence the proposal for the design of the virtual classroom to a mobile application with an innovative, friendly and interactive approach, facilitating the user to generate meaningful learning about the virus.