"Security Model for a Central Bank in Latin America using Blockchain"

"Banking institutions in Latin America are the target of increasingly sophisticated and advanced cyber-attacks and threats, which increase every year and leave substantial economic losses, due to the high level of global interconnection and digitization of their operations. The objective of this work is to design a model to guarantee information security in a Central Bank in Latin America using Blockchain technology. Exploratory research, observation and inductive and deductive methods are used to propose Blockchain solutions in a Central Bank. The results are a model for secure transactions in Blockchain, Smart Contract functions and a data management process. It was concluded that the security model for a central bank provides high level of information management and storage of transactions in a secure and immutable way.

THE PRINCIPLE OF INTEGRITY AND THE FRAGMENTATION OF PUBLIC PROCUREMENT

Objective: Through this work, a study on the integrity of the human being and the fractionation of public procurement has been carried out.Methods: As part of the study, the authors reviewed scientific works on the subject.Results: After analyzing the contracting law 30225, its regulations and other aspects that are part of the contractual procedure, certain factors have been determined that intervene in the actions of the agents in charge of public contracting, such as: i) normative disparity; ii) incapacity of those in charge of the selection processes; and iii) acts of corruption, which put at risk the denaturalization of the norms, generating the splitting of a contract.Conclusions: The splitting of a contracting procedure corresponds more to a subjective decision where the official or servant in charge of the contracting process has the power to discern the good from the bad. The bad decision that entails an illicit conduct will generate liability

"Applications of Intelligent Systems in Tourism: Relevant Methods"

"This article presents a literature review of Intelligent Systems applications in Tourism in different parts of the world. The review focuses on the most relevant methods in free and paid databases, in English and Spanish. Most of the works deal with methodologies based on artificial intelligence, such as expert systems, fuzzy logic, machine learning, data mining, neural networks, genetic algorithms. In the review, several characteristics of the systems have been taken into account, such as, knowledge base, actors in the operation of the system, types of tourists, usefulness or not in space and time. According to the review it was found that most of the researches are deterministic models, the most used methodology in tourism are the expert systems based on rules, observing an emerging innovation in metaheuristics, mainly genetic algorithms and intelligent systems with knowledge base based on optimization methods for route choice or optimal visit plan. It is expected that this work serves to give a general perspective on the application of intelligent systems in the area of tourism, as well as a work that consolidates background for work in this area of research.

DIGITAL DIVIDE IN PERUVIAN HIGHER EDUCATION: A POST-PANDEMIC REVIEW

By early 2020, the COVID-19 pandemic paralyzed the world, with the origin being the Chinese city of Wuhan. By March 11, 2020, the World Health Organization (WHO) declared COVID-19 a pandemic.  The dire consequences of this disease were reflected in a historic global recession, and in the health field, SARS-CoV-2 had wreaked havoc, especially in the elderly, due to worse manifestations and higher mortality rates. As a result, most countries were able to curb the spread of the virus by imposing mandatory measures such as not leaving their homes and very strict timetables. Among the measures considered was the closure of educational institutions, including universities. At that time, there was a paradigm shift in the way educators had to change the way they taught classes by making use of various online platforms. Online, distance and continuing education learning became a panacea for this unprecedented global pandemic for both educators and students. In this review, a passage is made through the different scenarios experienced by the COVID-19 pandemic, taking into account several objectives such as: the COVID-19, and the case of universities, the educational transition: from face-to-face to virtuality, challenges and opportunities after the pandemic, and last but not least, how the Peruvian State, was able to cope with the pandemic of Covid-19, and the challenges that should continue to be considered after the pandemic

A GLOBAL ANALYSIS OF THE INFLUENCE OF GOVERNANCE ON IMPROVING TOURISM COMPETITIVENESS

Objective: The objective of the study was to identify the influence of governance on tourism competitiveness as measured by tourism GDP per capita, using structural equation modeling.Methodology: The study was descriptive correlational and applied quantitative documentary approach. Data from secondary sources from the World Bank and The World Travel & Tourism were used to obtain measures of governance and tourism GDP for 172 countries during the year 2021.Results: Governance was found to have a significant influence on tourism competitiveness, with government effectiveness, regulatory quality and rule of law emerging as the main predictors of governance. It was also found that most countries with high tourism performance have good governance, especially those countries that are small and specialized in tourism. Developed countries enjoy a high governance index, but do not lead the ranking in tourism GDP per capita.  Countries with low tourism performance have poor governance.Conclusions: Governance is a crucial factor in the success or failure of the tourism sector, and the positive and significant relationship between governance and tourism competitiveness has important implications for the formulation of policies and strategies to promote sustainable tourism development

An Ensemble-based Machine Learning Model for Investigating Children Interaction with Robots in Childhood Education

"Investing in children's well-being and supporting high-quality pre-school education is a significant component of its promotion (ECE). All children have the right to participate. ECE teachers' thoughts about children's participation were examined to see if they were linked to children's perceptions of their participation. On the other hand, current studies focus on a single categorization method with lower overall accuracy. The findings of this study provided the basis for the development of an ensemble machine learning (ML) approach for measuring the participation of children with learning disabilities in educational situations that were specifically developed for them. Visual and auditory data are collected and analyzed to determine whether or not the youngster is engaged during the robot-child interaction in this manner. It is proposed that an ensemble ML technique (Enhanced Deep Neural Network (EDNN), Modified Extreme Gradient Boost Classifier, and Logistic Regression) be used to judge whether or not a youngster is actively engaged in the learning process. Children's participation in ECE courses depends on both the quantitative and qualitative characteristics of the classroom, according to this research.

Emotional Intelligence in Times of Covid-19: a Comparative Study in Peruvian Universities

Objective:The aim of the study was to compare emotional intelligence in Peruvian university students from public and private universities.Theoretical framework: In higher education, emotionally intelligent students have the ability to interact appropriately with others, achieve good academic results, and reach personal and professional goals.Method: The methodology was descriptive-comparative, the sample consisted of 838 university students of both sexes from public (471) and private (364) universities belonging to the coast, highlands and jungle regions of Peru. A sociodemographic form created for the study and the emotional intelligence scale (TMMS-24) were used as measurement instruments.Results and conclusion:The results showed that university students over 30 years of age, women, those from the highlands and those who worked had high levels of emotional intelligence.Implications of the research:It is necessary for university institutions to reorganize their academic conditions and provide the necessary inputs to apply socioemotional strategies to students. Researchers linked to the lines of research on emotional intelligence should develop predictive studies to know which factors may be predicting adequate or inadequate emotional intelligence in university students.Originality:This study demonstrates that it is essential to attend to and provide emotional intelligence tools to those students whodo not have the necessary resources to face different situations in the face of the COVID-19 pandemic and contributes to the training of educators, especially environmental educators in crisis contexts

Job satisfaction of public workers in Northern Peru during the COVID-19 pandemic

Objective: The objective of the study was to determine the job satisfaction of public workers in the provincial municipalities of the Tumbes region (Peru).Method:The method used was a descriptive, non-experimental cross-sectional design. The sample consisted of 319 male and female workers from the 3 provincial municipalities. A sociodemographic questionnaire and the Job Satisfaction Questionnaire were used as data collection instruments. Results: The results showed that only 10% of the participants had high job satisfaction. Within the dimensions, the majority showed low satisfaction (67%) with the remuneration received. No significant differences were found between men and women with respect to job satisfaction, and those with permanent employment status had lower levels than those who work on a temporary basis. Conclusions: It is concluded that most of the personnel working in the provincial municipalities of the Tumbes region have low levels ofjob satisfaction, so it is important to develop programs aimed at strengthening the bond and favorable attitude of workers with the institution where they work

Factorial Equivalence of the Social Skills Scale in the Lambayeque University Context According to Sex

This study aimed to show whether the theoretical model of the social skills construct, proposed by Gismero (2000), is invariant in male and female samples of Peruvian university students from Lambayeque. In order to meet the proposed objective, a non-experimental, cross-sectional, comparative psychometric design by hierarchical confirmatory procedures was chosen. Two samples of university students were used, one of 1,084 female students and the other of 1,043 male students. Both groups were applied the self-report of social skills (EHS). With the data obtained, a confirmatory factor analysis of the first-order factor structure of the social skills construct was performed in each group, based on the polychoric correlation matrix. The invariance of the scale according to sex was evaluated on the basis of the second-order factor structure, by means of multigroup confirmatory factor analysis of nested models. No significant differences in the fit to the data were found between the two-factor second-order factor structure and the alternative one-factor model. Consecutive tests of configurational invariance, disturbance, and first- and second-order metrics gave evidence, respectively, that the model structure, second-order factor errors, and first- and second-order loadings are equivalent in the two study samples. With the data from the study, it is concluded that the structure of the EHS scale is invariant to the sex variable in the Lambayeque context