Ecuadorian Science Journal 2021-07-17T17:14:31+00:00 Ing. Miguel Botto Tobar, MSc. Open Journal Systems <p style="text-align: justify;"><em>Ecuadorian Science&nbsp;Journal</em>&nbsp;is a biannual scientific publication. It is aimed at the academic community, researchers, graduates, productive sectors and, in general, the interested public. Its main objective is to disseminate and discuss advances in research and development in the different areas of engineering, education, administration and health through the publication of original and unpublished articles, with local or international relevance. </p> <p style="text-align: justify;">GDEON Editorial<br><strong>E-ISSN:</strong> 2602-8077</p> Cost for production orders for the manufacture of aluminum stairs and their impact on price determination. 2021-04-12T21:00:23+00:00 Damariz Mora Rodríguez Paulina Tapia Bolaños Ximena García Zambrano <p>The production order cost system seeks to technify the calculation of the incurred costs in the elaboration of aluminum ladders for a company belonging to the Ecuadorian manufacturing industry. Through this, it will be possible to obtain more exact costs, which will determine the prices that guarantee an adequate profit margin; for the sustainability of the company in the market. In determining costs, all the elements related to this concept must be considered; For which, the design of a production order cost system represents a favorable route, this being the model applied to structure a cost system in the company under study. As a methodology for the development of the research, the mixed approach and non-experimental design were used with a descriptive type of research. On the other hand, to determine the incidence of those costs in the determination of prices, the total cost model was applied; since, this takes into account the production costs and the costs of the period in which it has been incurred. As a result, an undervalued cost of the stairs was obtained, which led to a reduction in profit of approximately 70%; therefore, it is evident that the costs were not adequately established.</p> 2021-03-31T00:00:00+00:00 Copyright (c) Biodegradable cutting fluid based on pinion oil (jatropha curcas) 2021-04-12T21:00:23+00:00 Yoandrys Morales-Tamayo Bryan Carrasco-Viteri Yusimit Zamora-Hernández Joao Barzaga-Quesada Marioxy Morales-Torres <p>Natural-based cutting fluids represent a good alternative as a reference to replace petroleum-based cutting fluids due to several factors such as biodegradability, good lubricating properties and low production costs.&nbsp; In order to determine their physical and biodegradability conditions, tests were developed to predict how long it will delay their degradation in the environment. A study of the chemical-physical and biodegradability properties of a cutting fluid obtained from pine nut oil (Jatropha Curcas) is carried out for later use in the machining process. The percentage of degradation is analyzed by evaluating the measurements of the BOD / COD ratio taken at different times. The proposed cutting fluid shows favorable physicochemical properties to be used in machining operations. The tests carried out showed that the fluid is highly biodegradable considering the BOD / COD ratio, with a value of 64.8% at 21 days</p> 2021-03-31T00:00:00+00:00 Copyright (c) Study on trends in tools and methodologies for software development in Guayaquil 2021-04-12T21:00:23+00:00 Isaías David Vivas Flores Andree Hector Salvador Herrera <p>The general objective of this scientific article was to carry out a study of the methodological and practical tools used by software development companies in Guayaquil. The objective of this research is to use the data obtained from other published scientific articles and surveys carried out with different companies in the city of Guayaquil to understand the trends, frequency or preferences of development companies regarding software development tools or methods. Analysis of documents, such as books, scientific journals or articles. Among the main results, it was found that it is necessary to ensure customer satisfaction is another important factor, as this creates future possibilities of working with the same customer and / or recommendations with others. Similarly, understanding customer needs is critical. Before starting to work with the customer, it is important that the development team understand the requirements of the software product. Based on the analysis of primary studies, Agile and Lean Startup methodologies are revealed to be the popular software development methods used by new software companies. Finally, it is concluded that studies have shown that there is little information on software development practices. Engineering practices in startups are not fully explored.</p> 2021-03-31T00:00:00+00:00 Copyright (c) Adolescent alcoholism and its effects on academic behavior 2021-04-24T14:29:41+00:00 Yenny Piedad Cedeño Carrasco Rosa Apolonia Aspiazu Miranda Lourdes Lastenia Mazacon Vásquez Lidia Piedad Suárez Berruz <p>The research goal is to know the origin and effect of adolescent alcoholism, focusing on these effects on academic performance. The problem lies in how adolescents are influenced by various factors and are inducted into the world of excess alcohol, resulting in low academic performance, as their level of learning decreases. The importance of knowing the origin is fundamental since this will allow proposing solutions and proposals to reduce or eradicate the adolescent consumption of alcohol, we take as a sample the students of the educational unit "Seis de Octubre de Ventanas" and the educational community that conform. The analysis of the result was obtained by tabulating the applied surveys that allowed us to draw up the conclusions and recommendations to eradicate alcohol dependence in young adolescents. The research methodology is the field modality through a feasible project that will allow the application of the proposal to solve the problem.</p> 2021-03-31T00:00:00+00:00 Copyright (c) Folk dance in the learning process in basic education students 2021-04-12T21:00:22+00:00 Mercedes Mireya Cedeño Carrasco Erika Johanna Valenzuela Litardo Betty Elena Ferruzola Cruz Anna Bertha Zamora Moreno <p>Dance since very remote times has been one of the most practiced and applauded cultural manifestations of mankind, in all social strata and undoubtedly in its abstraction. Only the strength and power of man has allowed us to be welcomed by different ideological currents, it matters in a special way to the educational task that every day various cultural activities are carried out, that allow us to work with a look that can place the subjects who live in the school field from their characters of group identity, recovering dance or music as a resource that can rescue these contributions from the play of the movement, dance like any art, a product of the human activity of survival and pursuit of aesthetic pleasure, its origin as everything in society develops culturally. Dance before ascending to a stage and becoming an artistic genre was used even for magical and religious rituals and spells. Today folk dance has acquired new connotations, treatments, forms, and content, has become a professional activity, business activity and a playful activity and little, but more importantly, it has become vital as a formative element in education, becoming a tool and a necessary way of educating and finally a constituent element of identities, their treatment is highly diverse and differentiated.</p> 2021-03-31T00:00:00+00:00 Copyright (c) Parametric and Non-parametric Mathematical Modelling Techniques: A Practical Approach of an Electrical Machine Identification 2021-04-12T21:00:23+00:00 Oscar Gonzales <p class="Abstractandkeywordscontent">Mathematical modeling is an important feature concerning the analysis and control of dynamic systems. Also, system identification is an approach for building mathematical expressions from experimental data taken from processes performance. In this context, the contemporaneous state of the art describes several modelling and identification techniques which are excellent alternatives to determine systems behavior through time. This paper presents a comprehensive review of the main techniques for modeling and identification from a parametric and no parametric perspective. Experimental data are taken from an electrical machine that is a DC motor from a didactic platform. The paper concludes with the analysis of results taken from different identification procedures.</p> 2021-03-31T00:00:00+00:00 Copyright (c) Community Tourism and Museum: Articulation for the Strengthening of local bases 2021-04-12T21:00:23+00:00 Tatiana Chicaiza David Chontasi <p>In the context of tourism planning and development, the community is conceived as a nucleus of organized people committed to their collective well-being. The experience of community-based tourism and museum initiatives in communities is impacting the collective cultural practices and imaginations of a community. Thus, the need to study the theoretical articulation between community tourism and community museum was born, two locally based initiatives that in their constructive process converge to generate benefits for community development. In order to respond methodologically, the research used the theoretical documentary base and the method of analysis-synthesis. The descriptive character allowed identifying three criteria for reflection: correlation between ecology and culture; identity catalyst and community social structure strengthener. The results show that this articulation works in a complementary way because it shows the harmony of human beings between the ecological and cultural system, at the same time it represents a scenario of resilience because the diversification of activities provides alternative opportunities for community development.</p> 2021-03-31T00:00:00+00:00 Copyright (c) Cybersecurity in learning management system (LMS) 2021-04-12T21:00:23+00:00 Monica Paulina Echeverria Broncano Diego Fernando Ávila Pesantez <p>Learning Management Systems (LMS) are software applications with multiple tools to channel the teaching-learning process online. Due to the massive LMS growth derived from the pandemic situation, it is necessary to analyze the different vulnerabilities and attacks that these systems are exposed to. Therefore, this study presents a systematic review of the literature using the protocol defined by Kitchenham (2007), based on three phases: planning, performance, and analysis results. Thirty-one potential studies were identified, within the 2014-2020 period, using various digital libraries. The results indicate that in the face of vulnerabilities, educational institutions must create procedures to prevent and mitigate failures that occur in the LMS</p> 2021-03-31T00:00:00+00:00 Copyright (c) X-Ray Images Analysis by Medium Artificial Neural Network 2021-07-17T17:14:31+00:00 Darwin Patiño Perez Ricardo Silva Bustillos Miguel Botto-Tobar Celia Munive Mora <p>Currently the world is affected by a new strain of coronavirus called SARS-2, which is the cause of a respiratory-type infectious disease called Covid-19; the symptoms are fever, dry cough, shortness of breath, tiredness and in some more severe cases it can cause pneumonia, leading to death. According to the world health organization, the disease originated in Wuhan-China and spread rapidly throughout the world, causing serious health problems for populations without finding an effective cure or treatment to help prevent death and control its spread. Health specialists have not been able to find an effective cure that prevents the spread of the virus, although there are mechanisms to detect the disease, one of the most effective is related to the analysis of X-ray images of the chest of a patient; Manually processing a group of patient images is time consuming, so processing large volumes of images makes it impossible to promptly treat patients if the virus is detected. In the present manuscript, an X-ray image analysis mechanism is exposed, which uses artificial intelligence; and through a machine learning technique, through an algorithm based on artificial neural networks, a program is able to apply machine learning and learn to recognize patterns in chest images of infected and healthy patients, so that it can classify, predict and detect one if a new image is of a infected or healthy patient.</p> 2021-03-31T00:00:00+00:00 Copyright (c)