ABSTRACT
This chapter presents a methodological and strategic proposal for the application of the design thinking methodology to support the implementation of the work and action plan for the economic reactivation of start-ups in Mexico. The objective is to create a quick reference guide to accelerate start-up resilience. Documentary research is considered on the guidelines and implementation requirements, as well as the measures established by the Mexican Ministry of Health, to mitigate the epidemic caused by the SARS-CoV-2 virus that causes the COVID-19 disease and to carry out an orderly, gradual, and cautious reopening in order to continue caring for people's health in the working environment and at the same time reactivate the start-ups' economy. This chapter provides an alternative guide to direct and propose a structured option for the labour and economic reactivation of start-ups that were considered non-core and that require the completion of regulatory procedures and processes required to obtain the necessary Quick Response code, granted by the entities that regulate the guidelines for the safe reopening of companies. Based on the size of these economic entities, it is considered that they can have between 1 and 10 employees, or no hired personnel at all, which is not considered a priority in the current economic reactivation programmes. A methodological strategy is proposed and implemented to support companies of this size in their immediate process of labour and economic reactivation for a case study of a service company that applied the proposed methodology. © 2022 Emerald Publishing Limited. All rights reserved.
ABSTRACT
The students of the educational institutions of basic and secondary education in Colombia and in the world, had to face new realities and situations of their academic process, due to the 2020 health crisis due to the COVID 19 virus, which has prevented around of 1,370 million students do not attend school under traditional education conditions, in Latin America more than 156 million children and young people, according to UNESCO, and in Colombia more than 9.4 million children in initial, basic and secondary education according to figures of the MEN Colombia. © GKA Ediciones, authors.
ABSTRACT
The use of computer vision techniques for the detection of the level of attention in remote classes has increased due to the Covid-19 pandemic, one of these techniques is head pose estimation, so the objective of this research is the use of this technique to detect the level of attention in remote classes. For this, a methodology has been used, this methodology consists of face detection, detection of facial landmarks, and head pose estimation. Technologies such as: Python, TensorFlow, OpenCV have also been used. A neural network has been trained for the detection of facial landmarks for best results. Finally, the results obtained show that head pose estimation can be used to detect the levels of attention in remote classes, this technique is affected by the number of participants and the image quality of the platform being analyzed. When evaluating the results through metrics such as the number of FPS, and the detection of the level of attention, satisfactory results were obtained, since the number of FPS has an average of 5.5 in the best scenario, and the level of attention corresponds with visual analysis of test videos. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The present work is an experience carried out in the subject Historical-Cultural Development of Industrial Design of the title of Graduate in Engineering in Industrial Design and Product Development, School of Industrial Engineering of the University of Malaga, taught from February to June 2020. Lab_disMuseos arose from that need to readapt existing training activities and methodologies, to others in which the network was fully prioritized as a space to search for information, a source of inspiration and shared and collaborative work, in addition to showing in detail the methodology used, the work process, the results and the improvement actions proposed for the 2020/2021 academic year.
ABSTRACT
Introduction: Different populations coexistence scenarios are very complex, which contributes to the spread of diseases. Diagnosing infectious diseases early is a critical task in reducing its spread and preventing epidemics. However, inconsistency in population data and the inability to have timely diagnosis in many cases result in the proliferation of pandemics such as COVID-19. Objective: Develop a support system for COVID-19 medical diagnostic from modeling causal relations of diagnostic criteria, to form the diffuse cognitive map. Methods: Theoretical, empirical and statistical methods were used for the development of the research, such as: analytical-synthetic, inductive-deductive, hypothetical-deductive, modeling. As an empirical method, the semi-structured interview was used with the intention of collecting information that would include unprescribed contents and require expert knowledge of the main indicators for decision-making in COVID-19 medical diagnosis. Results: The system works through a diffuse cognitive map to model causal relationships that represent the inference´s basis. Artificial intelligence techniques are used as a basis for medical diagnosis. A demonstrative example is presented for COVID-19 medical diagnosis in which are modelled the causal relations of the different concepts that the disease describes. Conclusions: The designed system is a viable support tool for decision-making in COVID-19 medical diagnosis, which allows to obtain evaluative criteria from the modelling of causal relations, and this makes it extendable to other types of health emergencies situations. © 2020, Editorial Ciencias Medicas. All rights reserved.
ABSTRACT
This article studies articles about “Covid-19" and the “Covid-19 pandemic” in four language versions of Wikipedia (English, Spanish, Italian and Portuguese). The study periods start with the official naming of the Covid-19 disease on February 2020 by the World Health Organization and the announcement of the pandemic on March 11 2020, respectively. In both cases, the period goes up to April 11 2020. The study addresses the creation and reading of these publications, analyzing whether they are built upon scientific and health references or information from the general press. The findings show that that the Wikipedists responded quickly and generated collaborative works, with articles based on and built around a scientific and health perspective. © 2021, Fundacao UNI Botucatu/UNESP. All rights reserved.