Reviewerly/exHarmony huggingface dataset:
A WEB-LIKE MODEL OF THE LEARNING MARKET

The article discusses both a simpler dynamic model of a product market (referred to as the «web-like model») and a modified version of this model where sellers set the market price. These dynamic models are described using discrete first-order difference equations and systems of difference equations. The study focuses on the importance of understanding dynamic market models for certain products, particularly the web and web-like market models with training, which are examined in the article. Based on certain assumptions (described further in the article), a Valsar interpretation of these models is provided: the market is regulated by an auctioneer who initially announces the product price, and then buyers and sellers execute agreements and communicate the results to the auctioneer in terms of supply and demand volumes. If the agreements are found to be imbalanced, the auctioneer adjusts the price in an attempt to restore market equilibrium. Final agreements are made once equilibrium is reached. The article considers cases where the initial point coincides or does not coincide with equilibrium, and analyzes the price and production volume trends in these scenarios. A formula is derived that determines the trajectory of price changes in the «spider model», indicating that the market price will fluctuate around the equilibrium price. Additionally, a modification of the simpler spider-like model is discussed, where sellers determine the market price by focusing on a weighted average value between demand and supply from the previous period. Similar to the web model, the equilibrium price is found. The article investigates the case when the initial point does not coincide with equilibrium and examines the trends of prices and production volumes in this scenario. Different types of models are presented, and the properties of general solutions of difference equations and systems of difference equations that describe the web-like model and its modification are analyzed.
Digital information in user satisfaction mediated by digital inclusion in university students in extreme economic situation

The research sought to ascertain the relationship between digital information, which includes the exchange of digital information, information exchange, information need, and information search, as predictor variables in user satisfaction, and digital inclusion as a mediating variable. The methodology for the study follows a non-experimental research design; an electronic questionnaire (n = 30; = 0.959; = 0.959) is administered to a sample of 233 university students from a public university in southern Peru under harsh economic conditions, using reliability and validity tests, factor analysis, and structural equation modeling with partial least squares. The results have shown a statistically significant effect between digital inclusion and satisfaction among university students in extreme poverty, and the levels of satisfaction and user satisfaction maintain a close dependency relationship. The exchange of information positively influences digital inclusion in the same way, that information search maintains a statistically significant relationship.
Direct and Inverse Cinematic Resolution Calculation using Denavit-Hartenberg Algorithm and Geometric Method for Robot with 5 DOF

This manuscript aims to shine light on the analysis done for the direct and inverse kinematics of a 5 DOF robot. Where the main objective is to add a 5th degree of freedom to a traditional SCARA robot due to the extent of the study, it was fitting to cover in a more in-depth manner the control system separately to continue to add to the state of the art. It was possible to solve the direct and inverse kinematics of an inverse SCARA robot with 5 DOF using Denavit-Hartenberg algorithm and geometric method, respectively. The Denavit-Hartenberg algorithm solves kinematics based on homogenous transformation matrices to pass through one system to another using the coordinates systems of every joint and link. Geometric method allows to solve complex kinematics in a simplified way by considering just the coordinates that provides finite solutions.A successful control system for an inverse SCARA of 5 DOF could be built using these two methods.
Impact of the COVID 19 pandemic in the productivity and enrollment in a Postgraduate school from Peru

The objective of this research is to determinate how the Covid-19 pandemic and sales adaptation plan, impact in the productivity and enrollment intention in the Postgraduate School UPN -Cajamarca, for this it was proposed an applied, quantitative and correlation scope research having as a study population 285 students and commercial area data in the period between 2018 and 2021, it was used the techniques of survey and documentary analysis, and the data was analyzed using Excel and Stgraphics Centurion. The productivity and enrollment intention were possible to find through a diagnosis between the years 2018 -2021, it was found that there is not a significative difference between them (p < 0.05) using Tukey's test, having an average annual productivity of 98%. Additionally, based on the survey, 80.85% of the study population believe that the university should continue teaching online postgrad courses and the enrollment intention did not have a significative effect due to the pandemic. In conclusion, the students could follow their studies thanks to the strategies generated by the university, so the student was able to continue his studies feeling satisfied with the academic offer generating a positive tendence towards 2021, achieving similar values to those of pre-pandemic.
Software Development Teams: Factors Influencing their Productivity

Software development productivity has been widely studied in academia from different perspectives, including its meaning, measurement, dimensions, and how to improve it, at an individual, team, and organizational level.In the last decade, several factors have emerged that influence the way of working and thus, the productivity of agile development teams.These factors could be related to interactive, collaborative, and simplified work environments, among others.A better understanding of such factors and how they affect productivity could help organizations to determine how to deal with them when implementing agile practices and where to focus management efforts to have better results and deliver value faster.However, an insufficient empirical basis on this topic was found.This work shows an analysis of the state of the art regarding the factors that influence these teams, studying their impact on productivity, all this through a systematic literature review process.After analyzing results, it can be concluded that the factors that most affect team productivity are those related to the interaction between members, especially communication and distance, as well as the way in which they are organized.Those aspects related to the individual characteristics and soft skills are influential factors over the team performance.It is important to point out that even though the studies mention factors that affect productivity in different ways, they do not propose strategies for adapting agile practices, and only a couple of them propose practices that have a positive impact.
Structural Characterization of Factors for the Digital Training of Public Primary School Teachers: The Peruvian Case

The aim of this study was to determine the key factors of the digital teacher training system in public primary schools, which aims to improve teachers' digital competence. Digital competence is defined as the creative, critical, and safe use of Information and Communication Technologies (ICT) [1]. Worldwide, several countries use within their digital training programs institutional frameworks such as the European Framework for the Digital Competence of Educators, the International Society for Technology in Education (ISTE) and/or UNESCO [2] [3]. In Peru, the Framework for Good Teaching Performance, a guiding document for public teachers, only encourages its use according to the purpose of the learning session. In 2020, the Closing Digital Divide strategy revealed that 81% of public teachers required training to integrate technologies into their pedagogical practice. This study used structural analysis to analyse key factors in teachers' training to improve their digital competence. Results showed that among the key factors of the training system were the differentiated support in the use of ICT, the courses based on the participants' profile, the blended learning model, the technological infrastructure within the institutions and the creation of digital competence within the Framework of Teaching Performance. The results provide support to provide guidance to create the required digital training for teachers. Future research should evaluate digital teacher training policies, as well as the role of the school leaders in the implementation of ICT.
Analyzing and Filtering Multimedia Digital Evidence with Artificial Intelligence

Digital evidence has been growing exponentially over the years, not just in size but also in quantity: we now store more files than ever, both on computers and smart devices. The use of multimedia formats has also increased, with audio and video recordings being more prevalent than they previously were. This poses a problem for digital forensic examiners, who now must sift through these files listening to what is said in them. Artificial Intelligence models and applications that can be run locally provide us with a novel way to work with these challenging forms of evidence, drastically reducing the time required to find important information in these ever more present formats, while meeting the stringent requirements of data privacy that laws impose upon investigations.
Lumped flood routing through an interactive web application

Lumped flood routing in reservoirs is a fundamental topic in introductory hydrology courses in engineering programs. Understanding the associated concepts is of great importance for their subsequent application in professional life, such as in the design and operation of reservoirs. Students often have difficulty comprehending the relationships between variables, parameters, and limitations between methods. In turn, experience shows that students waste time on spreadsheet calculations, and consequently, learning of concepts is not prioritized. In this work, an application is developed that solves lumped flood routing in a reservoir, where various parameters such as reservoir characteristics, input hydrographs, and the dam discharge organ can be modified. The tool provides an interface that allows the user to interact in a simple way, since by easily modifying the parameters, the effect on the result of the lamination can be graphically seen. This application is open source and is available for any device with internet access.
Formative Assessment in Virtual Education: A Mini Review

Formative evaluation in virtual education plays a fundamental role in today's educational process, making it necessary to know its development and application due to unforeseen educational modality changes. This is the case in which the problem found is that it does not exist. a unique way of carrying out evaluations that allow for improving educational quality. Being the objective of this to find the different ways of carrying out the training of academic evaluation through the investigations published by other researchers. The method used is PRISMA, which consists of searching for relevant articles to answer the problem and answer the objectives, through the analysis of the summaries of each investigation. As a result, there are 29 articles belonging to Dialnet, Scielo, Redalyc, and Scopus, which allows for more information on formative evaluation, finding coincidences and central ideas that delve into the subject, likewise, the discussion between authors or researchers come to have something in common, it is necessary to say that formative evaluations are necessary through a process that allows students to develop knowledge and skills. It is concluded that the formative evaluation allows not only to assess of what has been learned but also the entire process followed; It generates motivation in students because it strengthens their self-esteem and makes them persevere in the development of their proposed activities.
Optimizing Hindi Paragraph Summarization through PageRank Method

This research paper presents a novel approach to optimize Hindi paragraph summarization using the PageRank method. With the increasing volume of Hindi language content on the internet, there is a growing need for effective summarization techniques tailored specifically for Hindi text. The proposed method leverages the inherent structure and connectivity of Hindi paragraphs to extract the most important sentences for summarization. The PageRank algorithm is applied to construct a rank representation of the text, with sentences as nodes and their co-occurrence patterns as edges. By calculating PageRank scores iteratively, the algorithm identifies the most central and significant sentences in the paragraph. Linguistic features such as sentence length, position, and content relevance are incorporated to enhance the quality of the summaries. Additionally, the algorithm dynamically adjusts sentence importance based on their relations with other sentences rank. Experimental results on a comprehensive dataset demonstrate that the PageRank-based approach outperforms existing summarization techniques in terms of informativeness and coherence, as evidenced by higher similarity score. The proposed method offers an effective solution for optimizing Hindi paragraph summarization, facilitating the management and comprehension of Hindi text in various applications.
Intelligent Optimization Prediction and Application Based on Statistical Analysis and Data Mining

In today's era, the leading role of information technology in economic and social development is very obvious. Without informatization, there would be no modernization. With the development of information technology, information data is growing rapidly. Collecting, sorting, summarizing and classifying effective data can help individuals, enterprises and others have a clearer understanding of the future and make reasonable plans in advance. Data mining technology can mine valuable information from a large number of data, which makes full use of statistics, databases, knowledge information and so on. The development of artificial intelligence has elevated the development of information technology to a new level, become the focus of international competition, and have a significant impact on economic and social development. Through the research of statistical analysis, data mining technology and artificial intelligence, this paper aims to collect and organize valuable data efficiently from a large number of data. Use intelligent optimization algorithms to make the best use of this data to make predictions. Intelligent optimization prediction can be applied to the personalized plan formulation of network security defense, learning platform, weather forecast, online shopping platform, and short video platform. The experiment shows that intelligent optimal prediction can improve the accuracy of prediction. Applying it to cybersecurity defense can improve detection rates by about 15%, and applying it to weather forecasting can improve prediction success rates by about 30%.
Best Practices on the Integration of Usability at the Organizational Level: A Review

This article analyzes existing practices or guides in the literature for software organizations to improve the usability of their applications.The selected research method is the synthesis of qualitative data through a thematic synthesis.In this research, different recommendations were recovered to achieve the incorporation of usability at the organizational level, mainly derived from case studies.As a result, 13 topics grouped into 5 higher order topics have been obtained.These topics summarize the important and necessary aspects, to not only achieve usable software projects as a result, but to that usability is present as part of the essence of the organization.One of the main contributions of this work is the model of interrelation between the themes identified in this work.This model presents the existing knowledge in the literature on good practices to integrate usability at the corporate level.
Towards Graph Theoretical Modelling Experimental prototypes to support your Cyber-security investment capabilities and cost for Jamaican firms

This research paper posits the use of graph theoretical models to support the data visualization required for monitoring and measuring cyber-security investments for digital firms provided with sufficient capabilities assumed to manage the cost of such investments.This research present as vertices and edges within a graph that the total cost path function between vertices/nodes of a graph will be unique given that the total cost path value is dependent on the goal cost (i.e., the cost to enable the working environment) and the heuristic cost (i.e., the cost of an attack on the same working environment).This working environment are all represented as graph path cost and applies the principle of the travelling salesman problem within graph theory.Graph modeling supports the fact that we can use the nodes as points to track/determine the behavior of an investment as a function of time (t).
Peruvian Sign Language translator for people with hearing and/or communication disabilities using a convolutional neural network

Promoting the social inclusion of people with deafness and/or communication disabilities is a priority for many countries. For this reason, considerable emphasis is currently being given to machine learning (ML) and deep learning (DL) techniques for sign language recognition and translation, as they can be a significant contribution to the social inclusion of the deaf and/or deafened community. Thus, the present research proposes the development of a translator of Peruvian Sign Language (PSL) for the recognition and translation of static signs belonging to PSL through a convolutional neural network (CNN). These signs are the numbers from 0 to 9 and the letters of the alphabet except J, Ñ and Z because they are represented with movable signs and the letters O and W because they are very similar to the numbers "0" and "6". To achieve the development of the translator, a balanced database for PSL was built from scratch, consisting of 700 images for each static sign, for a total of 22400 images. These images have a dimension of 80x80 pixels that go through a preprocessing stage, 3 convolutional layers, filters, kernels, ReLu and MaxPooling activation functions. Experimental results show that the translator recognizes static PSL signs with an accuracy of 90%, 86% and 81% for training, validation and testing respectively.
An adaptable vacuum gripper design for egg packaging, attached to the KUKA KR 60-3 industrial robot

Packaging is for a company one of the main processes to satisfy the requirements imposed by the consumer within the production chain; however, at present, the automation of this process has not been fully developed in the poultry industry in Peru, delegating the responsibility to a significant number of workers. Due to this, there are long working hours, production delays, the integrity of both personnel and the product is exposed, and the trust placed by the consumer is compromised. In consideration of the technological advances involved in industry 4.0 and the complexity of developing an end effector capable of adapting to multiple variations in the egg packaging process, and Adaptable Vacuum Gripper design is proposed, coupled to the KUKA KR 60-3 industrial robot, that it be dynamic and efficient when packing a maximum of 30 eggs in their respective cardboard or plastic commercial packaging without compromising the state of the product, alternating the number eggs packed in relation to the distribution matrix of the end effector (5x6) and the capacity established by the type of packaging to be packaged. Likewise, the product can be coupled to any type of industrial robot through insignificant modifications that alter its base structure. With the proposed mechatronic device, it was possible to obtain an efficiency of 100%.
Pedagogical strategy for lifelong learning

Based on one of the fundamental principles of the educational model of the European Higher Education Area concerning the development of the capacity to achieve lifelong learning, this project has been carried out in which a set of active teaching activities have been implemented for the acquisition of key competences in the challenge of achieving one of the most important objectives that any educational system must provide: lifelong learning.The aim of this model is to facilitate the incorporation of new university graduates into the world of work.This project has been developed in the context of subjects in the field of Electronics.However, in order to facilitate transfer to other subjects, the catalogue of active teaching activities is sufficiently varied to facilitate their extrapolation and use in other subjects, thanks to the fact that teachers have a wide variety of activities to choose from.Finally, a survey has been carried out to evaluate the satisfaction, impact and improvement of this new active methodology in order to find out the students' perspectives once they have worked with this catalogue of activities.
Trends in metaverse and virtual worlds research: A systematic review of the scientific literature of the last 5 years

The study performs an analysis of the scientific literature that has focused on theoretical and practical trends on metaverses and virtual worlds in the last 5 years.For this, 50 articles from different databases were collected, Ebsco (31) , ProQuest (15), Scopus (2), Scielo (1), andResearchGate (1), from 2017 to 2022.The objective of the study is to determine that the metaverse and virtual worlds are one of the most important technological changes in recent years.However, it is many years away from its full implementation in the transfer of information and the interaction of people.The argument raises an issue where the Metaverse and virtual worlds have become an alternative for knowledge transfer and communication for different sectors.Likewise, it is concluded that the research is established during successive phases of evaluation, and attracts resources such as computer applications, courses and activities to facilitate communication and interaction.
Digital competence of the university teacher. A systematic literature review 2015-2022

This work is developed with the objective of making an overview of existing publications on digital teaching competence, with the addition of establishing and identifying the existing conceptual frameworks in such a way that we can later carry out a measurement of the digital competence of the Peruvian teacher. The search for published articles began, considering criteria such as: maximum six years of seniority, review in indexed databases and magazines related to education, keywords related to digital teaching competence, articles in Spanish and English, publications in English and Spanish, Publications in Latin America and Europe. Then we proceeded to analyze and evaluate with an adaptation of the prism methodology, reviewing whether the articles that contained information related to the select topic. After detailing the existing digital competition frameworks in Europe, it was found that some have also been applied in Latin America. Although we find that there are still countries such as Peru that still does not have an approved frame of reference that allows the development of digital skills of teachers and that above all allows to know the baseline that allows subsequently elaborating a plan for the development of the Teaching digital competence oriented to close existing gaps and create a relevant and contextualized training offer to Peruvian reality. This systematic review is carried out as part of a doctoral thesis.