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Comité Editorial — 2023-01-01

The Digitalization of Production Processes : A Priority Condition for the Success of an Efficient Marketing Information System. Case of the Swimwear Anywhere Company

Khalid Lali — 2023-05-08

The digitalization of production operations is considered today as a decisive condition capable of stimulating the spontaneous and regular use of an effective and operational marketing information system. Certainly, thanks to digitalisation, companies can: increase their profitability; simplify working methods, automate production processes and interactions between the various employees responsible for monitoring the smooth running of production activities as well as between the latter and the heads of the marketing department who prepare the marketing strategies to be executed. Indeed, if companies want to increase their sales volumes and be able to take advantage of the new opportunities that digital will offer them, they are encouraged and better than ever to quickly computerize their production processes. To do this, they must rely on well-documented marketing strategies that emphasize customer orientation and ensure that the latter receives a personalized offer while benefiting from the operational functionalities provided by marketing information systems.

Recommended practices for the open publication of epidemiological research data and reports

Lucio-Arnulfo Ferrer-Peñaranda — 2023-10-25

Introduction: Epidemiology plays a fundamental role in public health by providing evidence for decision making. However, the lack of access to data limits the evaluation and replicability of epidemiological studies.
Objective: Establish recommended practices for the open publication of epidemiological research data and reports, in order to maximize their value and accessibility.
Method: A systematic review of open publication guidelines was conducted. Good practices were identified in the stages of collection, storage, publication and dissemination of epidemiological information.
Results: Consensus was found on the importance of using standardized instruments, documenting metadata, storing data in repositories with open licenses, assigning digital identifiers and publishing in open access journals.
Conclusions: The adoption of these recommended practices will substantially improve the quality, replicability and use of epidemiological research. This will strengthen transparency, scientific collaboration and evidence-based decision making.

Latin American scientific production on malnutrition in ambulatory older adults with progression to sarcopenia

Emilio Manuel Zayas Somoza — 2023-12-01

Introduction: Malnutrition is a global problem that affects millions of people around the world, especially the elderly. Among the possible consequences of malnutrition in the elderly is sarcopenia or loss of muscle mass.
Objective: To characterize the trends and impact of scientific production on malnutrition in ambulatory older adults with progression to sarcopenia published in Scopus between 2019 and 2022 in the Latin American context.
Method: An observational, descriptive, cross-sectional, bibliometric study was carried out. The data used in the study in question were obtained from the Dimensions database. Pearson's linear correlation was used to perform the trend analysis of the data.
Results: The most productive years were 2020 (175 articles) and 2021 (160 articles), with the least productive being 2022 (31 articles). The year with the highest number of citations was represented by 2019 (15795 citations) for 53.74% and the year with the lowest number was 2022 (2141 citations) for 7.29%. Of the total citations, 6552 were considered self-citations. The results corroborate the hegemony of countries like Brazil (176 articles) and Mexico (110 articles). Cuba ranks 14th in Latin America with respect to the production of articles on the subject of study.
Conclusions: A low Latin American scientific production on malnutrition in ambulatory older adults with progression to sarcopenia was evidenced in journals indexed in Scopus, with published articles and citations that follow a direct line towards reduction.

Scientific production on dialogical pedagogy: a bibliometric analysis

Yanir Bayona Arévalo — 2023-02-26

Paulo Freire's dialogical pedagogy provides teachers with a framework for their professional practice, offering educators strategies for teaching and learning. The main objective of this research is to determine the contributions of Paulo Freire's dialogical pedagogy to teaching praxis from bibliometric analysis, in terms of increasing impact and incidence in educational processes, knowing its structure, production, and utilization of information for pedagogical practices. A descriptive bibliometric study in Scopus database was conducted, applying a technique of exploratory and descriptive bibliographic document collection to analyze research related to the research topics. A total of 781 documents were retrieved from the Scopus database on the topic under study, of which 32,5% were open access, involving 1317 authors, with an average of 8,1 citations per document (1,42 Field-Weighted Citation Impact). Original articles represented three-quarters of the total documents, indicating research with new contributions to knowledge, while 12.4% were book chapters and the remaining 11.8% were Reviews, Books, Conference Papers, Editorials, and Errata. The top 10 countries with the highest number of published documents in the research area are the United States, United Kingdom and Australia. The analysis carried out revealed that there is significant progress in the area of research related to dialogic pedagogy and its scientific evolution.

Cognitive accessibility in health care institutions. Pilot study and instrument proposal

Sonia Castellanos — 2023-03-05

Introduction: cognitive accessibility is part of the general accessibility framework. Cognitive accessibility means that services are simple, consistent, clear, multimodal, error tolerant, and focused, with all users in mind.
Objectives: to validate a questionnaire on cognitive accessibility to be applied to health professionals.
Methods: The study is of a quantitative approach, with a non-experimental and cross-sectional design, developed between March and June 2022. The sample consisted of 130 health professionals from Argentina, selected through purposive sampling.
Results: the validation process was carried out in three stages. Internal consistency analysis (reliability) was performed using Cronbach's Alpha. The descriptive results with the 17 items showed a variance of 4.445 for each item, a total variance of 13.049, with a total Cronbach's Alpha of 0.701, indicating that the instrument presents internal consistency.
Conclusions: It was possible to verify that the scores of both Cronbach's Alpha and the factorial analysis allow us to affirm that the instrument has the necessary metric aspects to be used in future research, considering that it had a prior assessment by expert criteria. It can be assumed that this article becomes the starting point for future studies, in which it is intended to continue the line of research, which allows the analysis of cognitive accessibility in the context of health professionals.

Thematic Specialization of Institutions with Academic Programs in the Field of Data Science

Denis Gonzalez-Argote — 2023-03-15

Introduction: data science careers are on the rise due to the growing demand for technical skills in this area. Data science careers focus on collecting, organizing, and analyzing data to identify patterns and trends, which allows organizations to make informed decisions and develop effective solutions.
Aim: to analyze the thematic specialization of institutions with academic programs in the area of data science.
Methods: The Scopus database was used to conduct a bibliometric analysis aimed at examining the thematic specialization of institutions with academic programs in the field of data science. SciVal, a bibliometric analysis tool, was employed to extract the relevant data. The study period ranged from 2012 to 2021.
Results: Nine higher education institutions were found to offer undergraduate or graduate degrees in the field of data science. There was no correlation found between RSI and Field-Weighted Citation Impact (r=0.05355; P=0.8912; 95% CI: -0.6331 to 0.6930). Therefore, it cannot be claimed that specialization in the subject area studied influences the greater impact of research. On the other hand, recent accreditation did not influence greater specialization (r=0.1675; P=0.6667; 95% CI: -0.5588 to 0.7484). Additionally, no differences were found regarding academic level.
Conclusions: The analysis of the thematic specialization of institutions with academic programs in the field of data science shows low scientific production in this field. Moreover, more than half of the analyzed higher education institutions have thematic specialization below the global average. This suggests that there is still a long way to go for these institutions to achieve adequate specialization and compete internationally in the field of data science.

Mapping the Landscape of Netnographic Research: A Bibliometric Study of Social Interactions and Digital Culture

Carlos Alberto Gómez Cano — 2023-03-21

Introduction: Netnography is a research method that has emerged in response to the growing popularity of online communication and social networks.
Aim: To analyze communication patterns about netnography in the Scopus database.
Methods: A bibliometric study was conducted in the Scopus database on netnography. The analysis was conducted globally, by country, and by institution.
Results: A total of 11173 documents and 2213 authors were recovered. 35,1% of the documents were open access. The global field-weighted citation impact was 1,27. the most productive ones in the following order: United Kingdom (275 documents), United States (223 documents), Australia (165 documents), Brazil (100 documents), and France (83 documents).
Conclusions: The results show that netnography is an emerging area of research, with a wide geographic and thematic diversity, that has experienced steady growth in recent years and is being explored in a variety of contexts, from market research to the analysis of social dynamics online.

Scientific production of Bolivian universities

Jhossmar Cristians Auza-Santiváñez — 2022-03-29

Introduction: Higher education is undergoing significant changes due to the existence of agents promoting substantial changes in universities.
Objective: To evaluate the scientific production of Bolivian universities in the Scopus database through a bibliometric study.
Methods: A descriptive bibliometric study was conducted. The time period analyzed was documents with publication dates between January 1, 2000, and December 31, 2020.
Results: Private universities predominated in Bolivia with 54%, and the remaining 46% were public universities. The private university with the highest scientific production was the Universidad Católica San Pablo with 5.3%, followed by the Universidad Privada de Bolivia with 4.4%. Most articles were original, with 1,797 documents, 43,141 citations, and 24.01 citations per document, followed by conference articles.
Conclusions: The scientific production of Bolivian universities in Scopus during the 2000-2020 period had much lower indicators than expected, with low productivity and scientific performance. The universities with the highest scientific production over the 20-year period were the Universidad Mayor de San Andrés, followed by the Universidad Mayor de San Simón. The number of published documents had a growth trend over time. Original articles predominated, and the predominant language of publication was English. According to the research area, the best indicators were in agriculture, social sciences, and medicine.

Academic results during the epidemic period at the Faculty of Medical Sciences Miguel Enríquez

Daisy Bencomo-García — 2023-03-26

Introduction: the years 2020 and 2021 were characterized by the COVID-19 epidemic in Cuba, which caused the adaptation of academic courses, with the premise of making the training process more flexible, based on the suspension of face-to-face activities and the modification of the teaching curriculum.
Objective: to describe the state exam results during the epidemic period.
Methods. An observational, descriptive, retrospective study was carried out based on analyzing the promotion reports and the official models 36.19 and 36.20 of the Postgraduate Department, corresponding to 2020-2021.
Results: 173 residents took the state examination, 111 from medical specialties and 62 from stomatological specialties, with promotion of 100%. 49.7% obtained final grades above 95 points and 78.0% above 90 points in the state exam. The residents of the Dermatology and Intensive and Emergency Medicine specialties received the best teaching results.
Conclusions: The Faculty of Medical Sciences "Miguel Enríquez", during the epidemic period, graduated, with quality, all the residents who took the state exam.

How much does a citation cost?: A case study based on CONICET's budget

Javier Gonzalez-Argote — 2023-04-02

Introduction: CONICET has been fundamental in the training of a large number of researchers and the promotion of science in Argentine society.
Objective: Describe the relative cost per published article and citation received for articles published by authors affiliated with CONICET.
Methods: A bibliometric study was carried out in which the scientific production of CONICET was analyzed in the Scopus database and the CONICET budget from 2016 to 2021.
Results: A decrease in the CONICET budget was observed, only recovering in the last year but without reaching the historical maximum studied. On the other hand, as previously mentioned, it was commented that the citations decreased despite the increase in the number of articles. Faced with this panorama, the theoretical cost of an article and that of a bibliographical citation can be presented. So, for example, for the year 2021, the cost of publishing an article was 41,014.09 USD, and the cost of a citation was 9,442.77 USD.
Conclusions: We cannot minimize the budgetary expenses of a government institution of thousands of workers to simple final products that are articles when in between are the expenses of salaries, awareness campaigns, building construction and its maintenance or things that have nothing to do with it. With science (or yes) how to pay the water bill of an institute; but if we can get closer to a theoretical cost of the articles and citations produced by Argentine scientists.

Early prediction of acute kidney injury in neurocritical patients: relevance of renal resistance index and intrarenal venous Doppler as diagnostic tools

Jorge Márquez Molina — 2023-04-09

Introduction: Implementing renal POCUS in critical care is a valuable tool complementing the physical examination of critical patients. As it is noninvasive, accessible, innocuous, and economical, it makes it possible to assess, at the bedside of patients, renal perfusion via ultrasound measurements such as the renal resistance index (RRI) and intrarenal venous Doppler (IRVD), which are considered early predictors of the acute renal lesion.
Goals: Determine the relationship between the renal resistance index (RRI) and the degree of acute renal lesion according to KDIGO in neurocritical patients. Correlate the alterations to intrarenal venous Doppler (IRVD) flow with the degree of the acute renal lesion, according to KDIGO.
Methods: An observational, analytical, prospective, longitudinal study was carried out in an ICU with an influx of neurocritical patients. Forty-three (43) patients participated. Their renal resistance index (RRI) and intrarenal venous Doppler (IRVD) were measured upon admission, 72 hours later, and 7 days after admission. Which of these tools better predicts acute renal lesions according to KDIGO was assessed.
Results: In the study with 43 critical patients, no significant correlation was found between the RRI value and the acute renal lesion, according to KDIGO. On the contrary, a significant relation was found between intrarenal venous Doppler (IRVD) upon admission, 72 hours later, and 7 days after admission with the acute renal lesion according to KDIGO, with a value of r: 43=0.95 (P=0.54); 0.49 (P=0.001); 0.58 (P=0.000). When analyzing via the classification tree, it was determined that the variables better predicting the risk of suffering from an acute renal lesion before its occurrence are the measurement of intrarenal venous Doppler (IRVD) 7 days after admission and the value of the accumulated water balance.
Conclusions: There is a positive and significant correlation between intrarenal venous Doppler (IRVD) and the acute renal lesion. Intrarenal venous Doppler (IRVD) and the accumulated water balance better predict the risk of suffering from an acute renal lesion in critical patients. In contrast, the renal resistance index (RRI) was unrelated to the acute renal lesion in the studied population.

Data-driven decision-making to improve the diagnosis of cancer patients in the province of Guantanamo: a case study of epidemiological behavior during the year 2019

Eduardo Enrique Chibas Muñoz — 2023-04-21

Introduction: cancer is a disease caused by neoplastic cells that multiply uncontrollably, invading other tissues autonomously and at a distance. There are many types of cancer that can be prevented by avoiding certain risk factors.
Objective: to describe the epidemiological behavior of patients with cancer diagnosis in Guantanamo province in 2019.
Methods: an observational, descriptive and cross-sectional study was conducted in patients diagnosed with cancer in the province of Guantánamo, belonging to the country Cuba, during the year 2019. The universe was composed by the 1697 cases reported in that period. The variables age, sex, municipality and main location of the cancer were studied. The primary source of data was the Health Statistical Yearbook of Guantánamo Province.
Results: it was observed that the age group older than 60 years had the highest incidence, with 1176 patients, which represents 69,29 %. The male sex was the most representative, with 870 patients, equivalent to 51,26 %. Prostate cancer was the most prevalent cancer in the male population, with 220 patients, representing 25,28 %.
Conclusions: cancer is an important health problem for the Guantanamo population, especially in the age group over 60 years old. Male sex has a higher incidence, and prostate, breast and skin cancer are the most frequent in the population studied.

Thermal evaluation of a rustic building prototype at 1/5 scale with vegetal envelope during the winter in southern Peru

Alioska Jessica Martínez García — 2023-04-21

The purpose of the study was to demonstrate the benefits of a model for scientific research in the sense that a construction system with a vegetated enclosure could benefit the internal environment of Juliaca in winter. To do this, we used an experimental procedure to compare the thermal resistance of a fifth-scale adobe high Andean house without vegetation and a house built in the climatic zone with vegetated facades. It simultaneously records the internal surface temperature, the internal air temperature, and the external environmental conditions. The results obtained show that the use of photosystems in buildings is an effective passive technique to reduce energy consumption due to its ability to insulate and protect internal thermal conditions.

Analysis of the scientific production on the use of ultrasound in cardiopulmonary resuscitation in Scopus

Guillermo Luis Herrera Miranda — 2023-05-07

Introduction: ultrasonography is a useful tool during cardiopulmonary resuscitation, however, its analysis from a bibliometric perspective is scarce.
Objective: to analyze the scientific production on ultrasound and cardiopulmonary resuscitation in the Scopus database in the period between 2012 and 2021.
Methods: a descriptive, retrospective, bibliometric study was conducted on the scientific production on ultrasound and cardiopulmonary resuscitation in journals indexed in Scopus. A Scopus search strategy was used to retrieve the records. The search period was established as 2012 - 2021.
Results: the years with the highest productivity were 2020 and 2021 (17.7% both). There was a predominance of original articles (75.1%). The largest number of documents corresponds to the area of Medicine (73.5%). The most productive countries were the United States (Ndoc=49) and China (Ndoc=17). The most productive journals were Critical Care Medicine and Resuscitation. There were 160 authors, 1 with 5 articles, 1 with 4 articles, 10 with 3 articles, 32 with 2 or 2 articles and the rest with 1 article.
Conclusions: there is a low scientific production on ultrasound and cardiopulmonary resuscitation in journals indexed in the Scopus database, characterized by the publication of original articles, Medicine as the area with the highest production and journals from developed countries as the most productive. Existence of a small group of very productive authors who publish on this topic.

None Deep Learning Based Analysis of Student Aptitude for Programming at College Freshman Level

Lakshmi Simhan — 2023-08-15

Predicting Freshman student’s aptitude for computing is critical for researchers to understand the underlying aptitude for programming. Dataset out of a questionnaire taken from various Senior students in a high school in the city of Kanchipuram, Tamil Nadu, India was used, where the questions related to their social and cultural backgrounds and their experience with computers. Several hypotheses were also generated. The datasets were analyzed using three machine learning algorithms namely, Backpropagation Neural Network (BPN) and Recurrent Neural Network (RNN) (and its variant, Gated Recurrent Network (GNN)) with K-Nearest Neighbor (KNN) used as the classifier. Various models were obtained to validate the underpinning set of hypotheses clusters. The results show that the BPN model achieved a high degree of accuracies on various metrics in predicting Freshman student’s aptitude for computer programming.

Exploring links between toxic-environmental factors and hematologic malignancies: considerations for data-driven health decision making

Rose Mary Favier Rodríguez — 2023-06-07

Introduction: some toxic-environmental factors are frequently related to malignant hematological diseases, which have increased in recent years.
Objective: to describe the frequency of appearance of toxic-environmental factors in patients diagnosed with hematological neoplasms.
Method: a study was conducted cross-sectional descriptive study in patients diagnosed with hematological pathologies in the year 2020, a structured interview was applied to them looking for toxic-environmental factors, occupation, contact with toxic substances, origin, drinking water, toxic habits, diet, among others. Patients who used pesticides were given a second interview that collected: the type of substance, exposure time, time since last exposure, history of poisoning, protection measures, knowledge and application of the same.
Results: patients with lymphoma predominated. non-Hodgkin (25, 5 %), ages between 61-80 years (50 %), farmers (31 %), rural origin (57 %), those who had contact with toxins (64, 4 %). The most used toxin was pesticides, the average exposure time was 14 years, the last contact 9, 2 years, protection measures are used only sometimes, their need is unknown and 90% do not know any protection measure.
Conclusions: according to the results it is necessary to create strategies to guide the population about this risk and how to modify it.

Improving the Security and Reliability of a Quality Marketing Information System: A Priority Prerequisite for Good Strategic Management of a Successful Entrepreneurial Project

Khalid Lali — 2023-05-08

Thanks to the security policy of the marketing information system which includes physical, administrative and logical safeguards, organizations are today able to design marketing and sales strategies that enable them to effectively respond and satisfy their customers' needs and expectations in a timely and cost effective manner and this by protecting the relevant information and data circulating in the said information system against any attempt at attack or malicious intrusion which seeks only to harm its reliability, confidentiality, integrity, availability and credibility. Indeed with this security policy we arrive easily to identify each discrepancy observed in the behavior of persons accessing this marketing information system as well as each mismatch between the service provided to users and the service expected by them, a context that pushes this security system to generate automatically some countermeasures such as encryption, decryption, hashing, electronic signature, intrusion detection and prevention and certification.

The English Proficiency and the Inevitable Resort to Digitalization: A Direction to Follow and Adopt to Guarantee the Success of Women Entrepreneurs in the World of Business and Enterprises

Moulay Driss Hanafi — 2023-05-08

In this paper, an attempt has been made to highlight the importance of the English language and ICT in the entrepreneurial endeavors of Moroccan women. The development of ICT and the rise of English as the major lingua franca of worldwide business have been followed by a considerable increase in academic interest in a variety of topics connected to language choice and usage in the business and professional sectors. In business, it's important for Moroccan women entrepreneurs to be good at ICT and speak English well. The integration of digital technologies into female entrepreneurship has developed a new approach called "digital entrepreneurship." This method offers numerous benefits for Moroccan female entrepreneurs, namely economic development, women's empowerment, and access to worldwide markets. The power of English and new digital paradigms has changed how Moroccan businesswomen work and communicate with each other. This has changed business practices and given Moroccan businesswomen new opportunities.

Some metrics on scientific production about fractures

Lázaro Horta-Martínez — 2023-06-20

Introduction: The rapid and precipitous increase in the number of scientific journals has outlined the hardship of perpetrating periodic assessments of their scientific production or that of a specific area of knowledge. Scientific production is directly related to scientific activity.
Objective: Describe the production on fractures in the Cuban Journal of Orthopedics and Traumatology.
Methods: A metric, descriptive and cross-sectional analysis of the articles published on fractures in the Cuban Journal of Orthopedics and Traumatology (RCOT) was carried out from from 2013 to 2022.
Results: A total of 37 articles were collected; 19 (51.4%) original articles, 12 (32.4%) case presentations, 4 (10.8%) bibliographic reviews, 1 (2.7%) special article and 1 (2.7%) letter to the editor. The year with the highest scientific production was 2023 (n=19; 51.4%), in the period 2015-2019 no scientific contributions were reported. The total originality rate is 51.4%, with 2013 being the year with the highest rate with 100%, although together with 2014 they represent the most unproductive years within the productive ones, 2014 has an originality rate of 0%.
Conclusions: The production on fractures in the RCOT had a notable representation in the period 2020-2021 and showed a tendency to progress in this regard; but work still needs to be done in order to endorse optimal visibility of the contents on this topic, as well as a greater citation of these, to which the publication in English and the persuasion of collaborators of other nationalities could greatly contribute.

Data analysis of vehicular noise pollution and its perception in the cities of Juliaca and Puno, Puno region - 2021

Néstor Eloy Gonzales Sucasaire — 2023-05-26

Noise pollution generated by vehicular traffic can have a significant impact on the quality of life of residents, affecting their physical and emotional well-being. To determine the relationship between vehicular noise pollution and the perception of the population in the cities of Juliaca and Puno, a descriptive and correlational study was carried out. Data were collected using registration forms and questionnaires, using 10 representative sampling points on the roads with the highest traffic and surveying 584 randomly selected people. The results revealed sound pressure levels that exceed the limits established by regulations in both cities. Minimum values of 67.84 dB in Puno and 68.03 dB in Juliaca, and maximum values of 83.86 dB and 78.83 dB, respectively, were found. In addition, a positive but low correlation (r = 0.142) was identified between noise pollution and population perception. These findings highlight the exposure of the population to vehicular noise pollution levels that exceed the permissible limits, which can have negative consequences for health and well-being. It is necessary to implement effective measures to reduce noise pollution and improve the quality of life of residents in both cities. These results provide valuable information for the development of appropriate mitigation strategies.

Implementation of Naive Bayes classification algorithm for Twitter user sentiment analysis on ChatGPT using Python programming language

Adhitia Erfina — 2023-06-07

ChatGPT (Generative Pre-Trained Transformer) is a chatbot that is being widely used by the public. This technology is based on Artificial Intelligence and is capable of having conversational interactions with its users just like humans, but in the form of automated text. Because of this capability, online forums such as Brainly and the like can be overtaken by these smart chatbots. Therefore, this study was conducted to determine the positive and negative sentiments towards ChatGPT using Naive Bayes Classification algorithm on 5000 Twitter users. Data was collected by scraping technique and Python programming language was used in data analysis. The results showed that the majority of Twitter users had a positive sentiment of 57.6% towards ChatGPT, while the negative sentiment reached 42.4%. The resulting classification model had an accuracy of 80%, indicating a good classification model in determining sentiment probabilities. These findings provide a basis for the development of better AI chatbot technology that can meet user needs. The results of this study provide insights into user sentiment towards ChatGPT and can be used as a reference for future AI chatbot development.

Analysis of patient-dependent predictors of residual lesion after cervical conization

Heenry Luis Dávila Gómez — 2023-06-02

Introduction: in the care of women with precursor lesions of cervical cancer, preventing possible progression to invasive cancer without over-treating the high chances of regression is extremely important. Over time, different treatments and protocols have been tested in order to obtain the best results in the control of this condition with conservative techniques.
Objective: to identify predictors of residual disease depending on the intrinsic characteristics of the patients with conization, due to high-grade epithelial lesions or with microinvasion.
Methods: A prospective descriptive study was conducted to determine the relationship between the diagnosis of residual disease and clinical- epidemiological variables dependent on the patient, in 1090 patients with high-grade cervical epithelial lesions who were treated at the "Héroes del Baire" General Teaching Hospital on the Isle of Youth (Cuba) during the period 2014-2019.
Result: a linear trend of the association of age and residual disease was observed, as well as an association with glandular disease, histological severity and infection by oncogenic serotypes of the human papillomavirus. HPV infection (OR=11.3), history of previous lesion (OR=9.8), persistence of viral infection (OR=4.9) and glandular involvement (OR=3.1) were the factors that showed the greatest association with residual disease.
Conclusion: the severity and size of the lesion, the glandular extension and the persistent infection by the human papilloma virus were the predictive factors that contribute to the existence of residual lesion.

Chronic kidney disease and its risk stratification in Cuba

María del Carmen Marín Prada — 2023-06-12

Introduction: Epidemiological risk stratification in health is a tool effective in identifying where the main problems lie in a program health, to distribute resources where they are most needed. kidney disease chronic is a metabolic endocrine syndrome, brings disability to people who
suffer, has become one of the main causes of death in the world, in our country has seen an increase in the last ten years.
Objective: Stratify mortality with CKD in Cuba and characterize some sociovariables demographics from 2011-2020.
Method: The universe consisted of 35031 deceased with CKD in Cuba, percentages, crude, specific and specific rates were calculated. standardized by age, sex, causes of death, by province of residence and color of the skin. The stratification by provinces was classified as very high risk, high risk, medium and low risk.
Results: There was a total of 35031 deaths, the risk of die older in men, older adults with black skin color. The main cause of death hypertensive kidney disease. The standardized rates showed slow and sustained increase in all provinces. Very high risk provinces
Artemisa (22.15), Cienfuegos (19.36) and the Isla de la Juventud Special Municipality (18.72).
Conclusions: Risk stratification presented differences in the country, the main cause of death was hypertensive kidney disease, older adults have higher risk of dying, although it is important to pay attention to the group that includes working age.

Strategic guidelines for intelligent traffic control

Silfredo Damian Vergara Danies — 2023-06-12

The objective of this study was to establish strategic guidelines to solve the existing vehicular mobility problems in the District of Riohacha, proposing the adoption of advanced technologies to optimize traffic management in the city. The methodology of the study consisted in the application of surveys and the review of relevant bibliography. The results allowed the identification of various intelligent traffic control tools used in different regions of the world, determining their applicability and benefits for the context of Riohacha, where there was a notable lack of traffic signals. It was concluded that the implementation of the technological tools proposed in this study could offer effective solutions to the mobility challenges faced by the District of Riohacha.

Reflections on Healthcare Document Management in the Age of 4.0 Technologies

María del Carmen Becerra — 2023-06-15

The purpose of this study is to examine certain aspects associated with the 4.0 Revolution in the field of health data, with particular emphasis on decision-making and organizational models implemented in the information systems of the health sector. This analysis is conducted in the context following the implementation of the Federal Unified Program for the Computerization of the Digital Medical Record, which establishes a unified registry of patient data. The practices and tools used in document management of health data, biometric and genetic data are identified and examined, which, due to their sensitive nature, require rigorous protection. Various aspects related to the responsible provision of health services are discussed. For efficient and effective management of health systems, both public and private, the implications of using technologies in health from the perspective of safety and privacy are considered.

Comprehensive analysis of water quality in the middle and lower basin of the Marquesote River Colombian

Stephany Romero Tobias — 2023-06-04

Different biotic indices have been used for the integral analysis of hydrographic basins in Colombia, using benthic microinverters and physicochemical parameters. A comprehensive analysis of water quality was performed in the low Marquesote river basin, using benthic macroinvertebrates and the ETP index (Ephemeroptera-Trichoptera-Plecoptera) as a biological indicator and some physicochemical parameters. Work was worked on the middle and lower basin on the Marquesote River at two times of the year (dry and rainy); standardized methods for water physicochemical variables were applied, for benthic fauna collected using a Surber network, and identifying them up to the taxonomic level of family. The study observed 22 families and 1388 individuals, where 49% represent PTSD, indicating regular water quality; however, physicochemical variables had wide variation, noting that pH showed the greatest variability based on an analysis of major components. Environmental quality in the Marquesote river basin is compromised according to the indicators used, a more detailed study of the sources of pollution and dynamics of macroinvertebrates could provide a greater ecological knowledge of the basin.

Proposal for an epidemiological surveillance program for the prevention of occupational accidents and diseases in workers exposed to carbon dioxide (CO2) at a Venezuelan brewing company

María Eugenia Ramírez — 2023-06-15

Introduction: In manufacturing companies, specifically in the brewery, there are processes that involve the handling and use of chemical agents, such as carbon dioxide (CO2), this is the reason why workers are exposed to this agent. In the studied company, an accident was caused by exposure to this substance.
Objective: To propose an epidemiological surveillance program for the prevention of occupational accidents and diseases in workers exposed to carbon dioxide (CO2) in a Venezuelan brewery.
Methods: A qualitative-quantitative, field, descriptive, feasible project-type research was carried out, with the epidemiological surveillance program as the unit of analysis. Documentary review, direct observation and the interview were used as data collection techniques, and the observation guide, the sociodemographic form and the field diary were used as instruments.
Results: The machine room has 18 workers, which shows that the workforce is composed of men over 40 years of age. Among the main causes of consultation of workers to the medical service are headache with 24.1%, followed by fatigue with 20.6% and then dizziness with 13.7%.
Conclusion: We propose an Epidemiological Surveillance Program aimed at machine room workers exposed to Carbon Dioxide (CO2), since there is no system that collects complete information on the working conditions and health of its workers, thus failing to comply with the legal framework governing the subject.

Secure E-healthcare System Based on Biometric Approach

Amal Fadhil Mohammed — 2023-07-08

A secure E-health care system is satisfying by maintaining data authenticity and privacy. Authentic users only access and edit medical records, any alteration in the medical records may result in a misdiagnosis and, as a result, harm the patient's life. Biometric method and watermarking modes are utilized to satisfy goal, such as Discrete Wavelet Transform (DWT), Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT) and Least Significant Bit (LSB). In this work focused on a biometric watermarking system where the iris code of the sender programmed as a sender authentication key. The confidentiality of the patient information is safeguarded via encrypting it with an XOR algorithm and embedding the key in the DCT image. The algorithm has demonstrated which is suggested system has met earlier constraints. We used samples of original watermarked images with PSNR value, embedding time and extraction time, the lowest embedding time was 0.0709 and the PSNR value was 49.2369.

Adherence to preprints’ publication in Dentistry by Brazilian researchers

Jaisson Cenci — 2023-08-27

Aim: The objective of this study was to evaluate the adherence to the preprint publication format by a sample of Brazilian researchers.
Methods: Searches were carried out, in September 2021, on the MedArxiv, OSF, and SciELO preprints platforms, looking for publications in preprint format by all Brazilian researchers of graduate programs in dentistry (n=211) who were productivity fellows in 2021 (PQ). Searches were performed by typing the authors’ full names and the possible variations, as indicated by each author's curriculum, openly available on the Lattes website platform. The Friedman test, with the Durbin-Conover post-hoc (α=0.05) was applied in order to compare the three platforms. Spearman's correlation test (α=0.05) was performed to assess the possible correlations between the number of preprints and age, career stage, and the researcher’s scholarship level variables.
Results: From the 211 researchers searched, 22 (10.4%) published 1 (one) preprint on at least one platform. A total of 39 published preprints were found at MedArxiv (n=19, 48.7%), SciELO preprints (n=18, 46.2%), and OSF platforms (n=2, 5.1%). There was no difference between the adherence to MedArxiv and SciELO preprints (p = 0.731). However, the OSF platform presented the lowest adherence, statistically differing from MedArxiv (p=0.008) and SciELO preprints platforms (p=0.003). In addition, no correlation was found between the publication of preprints and the researcher's age (p=0.128), career stage (p=0.248), or the researcher's scholarship level (p=0.661).
Conclusion: It was possible to observe a low adherence to the preprints’ publications by Brazilian researchers’ productivity fellows of graduate programs in dentistry.

Decision-Making in Tourism Management and its Impact on Environmental Awareness

Filiberto Fernando Ochoa Paredes — 2023-09-14

The objective was to establish the impact of the management of the tourism system on the environmental awareness of the population of Lunahuana-Cañete, period 2022, the method used was a basic study, the design was without any experiment, in a single time and descriptive, quantitative and deductive approach. The population and test was 120 workers who work in the tourism and gastronomic areas, a non-probabilistic sensal sampling was used. As a result, 86.6% of respondents stated that the management of the tourism system is well implemented and basically implemented; the cultural, economic, environmental and social dimensions are between basically implemented and very well implemented. The environmental awareness variable was rated with 60.0% medium level, 36.7% high level, 3.3% low level, and the cognitive, affective, active and behavioral dimensions were rated as high level with an average of over 70%. The inferential statistical results indicate that the management of the Tourist System has a significant influence on the environmental awareness of the inhabitant, in the same way for the specific premise 1, it was confirmed that the cultural dimension is linked in a preponderant way with the environmental awareness of the inhabitant, for the specific premise 2, it was confirmed that the cultural dimension is associated in an important way with the environmental awareness of the inhabitant, for the specific premise 3, it was confirmed that the environmental dimension is linked with the environmental awareness of the inhabitant. And finally for the specific premise 4, it was confirmed that the social dimension is linked to the environmental awareness of the inhabitant, all the premises or hypotheses refer to the inhabitant of Lunahuana, Cañete, Lima, 2022.

Psychometric Properties of the Social Media Addiction Scale (SMAS) on Chilean University Students

Jonathan Martínez-Líbano — 2023-10-04

Background: The use and abuse of social networks are harming the mental health of university students.
Objective: To adapt and validate the Social Media Addiction Scale (SMAS) for the Chilean context to have a reliable instrument to measure addiction to social networks. The sample comprised 686 university students (mean age = 28.04, SD = 8.4), 71.1% female, 28.4% male, and 0.5% other genders.
Methods: Confirmatory factor analysis (CFA) using the weighted least squares means and variances method (WLSMV) was used for this study.
Results: Reliability was Cronbach's alpha (α) 0.841. The SMAS yielded two factors that explained 53.433% of the variance. The CFA yielded very good fit indicators such as CFI = .959, TLI = .949, and RMSEA .060.
Conclusions: Based on the results described above, we can affirm that the SMAS is a good instrument to measure social network addiction in college students.

Data, Digital Tools and Meaningful Learning: An Analysis in Today's Educational Context

Juan Carlos Cotrina Aliaga — 2023-10-21

This research aims to address educational inequalities and improve the quality of education in the country, through a comprehensive and systematic review of the literature related to the topic of "Digital Tools and Meaningful Learning" in the current educational context. The key findings of each study were examined, including the methodologies used, the results obtained and the relevant conclusions. The papers were categorized and grouped according to common themes and emerging trends in the relationship between digital tools and meaningful learning. Special attention was paid to the limitations and challenges identified in the literature. In conclusion, the use of digital tools in the classroom can contribute significantly to the teaching-learning process, as long as they are implemented effectively and existing educational inequalities are addressed. Effective strategies implemented in Latin America to close the digital divide and reduce educational inequalities were identified.

Unsupervised algorithm to classify immigration risk levels

Miguel Valles-Coral — 2023-11-17

Introduction: Migration is a social phenomenon that affects the structure and distribution of the population, driven by the search for better opportunities and living conditions. In this regard, irregular migration poses a challenge for host countries, as it involves the entry of individuals without the appropriate documentation, potentially compromising national security and border control.
Objective: To evaluate the application of the unsupervised DBSCAN algorithm to classify foreigners based on the level of risk of irregular immigration at the National Migration Superintendence of Peru.
Methods: We use the DBSCAN algorithm on a dataset from the National Immigration Superintendence, classifying foreigners into clusters according to their level of risk of irregular immigration. In addition, we use the Silhouette, Davies-Bouldin, and Calinski-Harabasz coefficients to evaluate the quality of the classification.
Results: DBSCAN classified foreigners into four clusters based on the level of risk of irregular immigration: high, medium-high, medium-low, and low. The performance of the Silhouette index was 0.5338, the Davies-Bouldin index was 0.6213, and the Calinski-Harabasz index was 3680.2359.
Conclusions: We show that the use of DBSCAN in the National Immigration Superintendence effectively classified foreigners according to the level of risk of irregular immigration. This tool supports informed decisions of immigration inspectors, favoring Peruvian immigration regulation.

Quantitative Evaluation of the Impact of Artificial Intelligence on the Automation of Processes

Justiniano Felix Palomino Quispe — 2023-10-15

Introduction: In the current era, Artificial Intelligence (AI) has profoundly transformed the operation and management of business processes, being essential for competitiveness. This article focuses on quantitatively evaluating the impact of AI on the automation of business processes, seeking to support decision making.
Objective: This study aims to carry out a quantitative evaluation of the impact of AI on business processes. Robust methods are used to measure and analyze key variables related to AI adoption.
Methods: The methodology combines secondary data and company surveys. Public business databases are accessed and financial data is collected, in addition to analyzing Key Performance Indicators (KPI). A random selection of companies is made for the surveys, a structured questionnaire is used and the data is subjected to rigorous statistical analysis.
Result: Quantitative results show significant impact of AI on business processes. The average reduction in operating costs reaches 26%, the improvement in the quality of products and services is 30%, and an average increase of 20% in profit margins is observed. Possible moderators that influence these results are identified.
Conclusion: This quantitative study supports the strategic importance of AI in business, demonstrating substantial improvements in efficiency, quality and decision making. Despite its limitations, it offers a solid framework for decision-making and future research in the field of AI and business automation.

Evaluation of the effectiveness of strategies under the perspectives of the Balanced ScoreCard

Freddy Lalaleo — 2023-11-18

The objective of this research is to know the effectiveness of business strategies from the perspective of the Balanced ScoreCard in medium-sized companies in the city of Ambato. The research consisted of an explanatory methodology with a qualitative and quantitative approach with a descriptive research design, the study population was based on micro-enterprises in the province of Tungurahua, in this sense for the sample, 22 medium-sized companies. of the city of Ambato were determined. A survey structured by 16 questions distributed in four dimensions was applied: financial perspective, customer perspective, internal processes perspective and learning and growth perspective. Among the main results is the low financial perspective (27.3%). The customer perspective is the lowest point in 45.4% of companies, on the other hand, there is a very low perspective of internal processes (27.3%) and finally, the management focused on learning and knowledge perspective maintains the same deficiencies of the previous dimensions (22.7%). In this context, it is concluded that the companies selected for the study have a low level of use of the Balanced ScoreCard perspectives. The results of the correlation analysis show that the financial perspective varies directly with the change in customer perspectives and internal processes and the customer perspective varies directly with respect to internal processes.

Management of the tourist system in the environmental awareness of the inhabitants of Lunahuana

Filiberto Fernando Ochoa Paredes — 2023-10-24

The objective was to establish the impact of the Management of the tourist System on the environmental awareness of the population of Lunahuana-Cañete period 2022, the method that was used is a basic study, the design without any experiment, in a single time and descriptive , quantitative and deductive approach. The population and test was 120 workers who work in the field of tourism, gastronomy, a proven non-probabilistic sensible was used. As a result, 86.6% of those surveyed state that the management of the Tourism system is well implemented and basically implemented, both the cultural, economic, environmental and social dimensions are between basically implemented and very well implemented. The environmental awareness variable was qualified with 60.0% at a medium level, 36.7% at a high level, and 3.3% with a low level, and the cognitive, affective, active, and behavioral dimensions were qualified as a high level on average. greater than 70%. The inferential statistical results indicate that the management of the Tourist System significantly influences the environmental awareness of the inhabitant, in the same way for the specific premise 1, it is established that the cultural dimension is significantly related to the environmental awareness of the inhabitant, for the specific premise 2 , it is guaranteed that the cultural dimension is significantly related to the environmental awareness of the population, for specific premise 3, it is guaranteed. The environmental dimension is related to the environmental awareness of the population. And finally for the specific premise 4 it is guaranteed that the social dimension is related to the environmental awareness of the resident, all the premises or hypotheses are about the resident of Lunahuana, Cañete, Lima, 2022.

Application of Machine Learning Models in Fraud Detection in Financial Transactions

Roberto Carlos Dávila-Morán — 2023-10-29

Introduction: Fraud detection in financial transactions has become a critical concern in today's financial landscape. Machine learning techniques have become a key tool for fraud detection given their ability to analyze large volumes of data and detect subtle patterns.
Objective: Evaluate the performance of machine learning techniques such as Random Forest and Convolutional Neural Networks to identify fraudulent transactions in real time.
Methods: A real-world data set of financial transactions was obtained from various institutions. Data preprocessing techniques were applied that include multiple imputation and variable transformation. Models such as Random Forest, Convolutional Neural Networks, Naive Bayes and Logistic Regression were trained and optimized. Performance was evaluated using metrics such as F1 score.
Results: Random Forests and Convolutional Neural Networks achieved an F1 score greater than 95% on average, exceeding the target threshold. Random Forests produced the highest average F1 score of 0.956. It was estimated that the models detected 45% of fraudulent transactions with low variability.
Conclusions: The study demonstrated the effectiveness of machine learning models, especially Random Forests and Convolutional Neural Networks, for accurate real-time fraud detection. Its high performance supports the application of these techniques to strengthen financial security. Future research directions are also discussed.

Scientific production in the Scopus database of a public university in southeastern Peru

Edwin Gustavo Estrada-Araoz — 2023-11-11

Introduction: The scientific production of universities serves as a key indicator of their commitment to research and knowledge generation. It represents the collective efforts of educators, researchers, and students contributing to the advancement of science and technology.
Objective: To analyze the scientific production in the Scopus database of the Universidad Nacional Amazónica de Madre de Dios (UNAMAD).
Methods: The research adopted a bibliometric and retrospective approach. An analysis of Scopus-indexed documents was conducted, evaluating the number of publications, authors, journals of publication, types of documents, language of publication, authorship order, funding sources, knowledge areas to which the documents belong, and co-authorship networks.
Results: A total of 172 documents indexed in the Scopus database were identified, indicating a rising trend in production in recent years. Most documents were original articles, published in foreign journals in the English language, with collaboration from researchers affiliated with UNAMAD and no declared funding sources. Additionally, a higher number of documents were observed in the fields of Social Sciences and Environmental Sciences.
Conclusions: In recent years, there has been a notable increase in UNAMAD's scientific production in the Scopus database. Nevertheless, it remains relatively limited in comparison to other universities in the Amazonian region and throughout Peru.

Sri Lanka Published 234 Research Papers in Psychiatry from 2012 to 2021: Comparison with 76 Research Fields

Waseem Hassan — 2023-04-01

Low- and middle-income countries (LMICs) are only involved in 3-4% of mental health research, and the engagement of Early Career Psychiatrists (ECPs) is declining. A total of 21,986 documents have been published in Sri Lanka with 395,157 citations, resulting in 18 citations per publication (CPP) and a 1.48 Field-Weighted Citation Impact (FWCI). The highest number of documents are published in Medicine (n=5704), followed by Computer Science (n=4847) and Engineering (n=4598). Some of the main barriers to research include a lack of technical support, funding, and a poor research culture. In order to improve research output and quality, international collaborations, grants, and research infrastructure are urgently needed.

Artificial intelligence in the library: Gauging the potential application and implications for contemporary library services in Nigeria

Solomon Olusegun Oyetola — 2023-06-01

Purpose: Libraries may become obsolete in the twenty-first century unless they begin to harness new technology and improve information and service delivery. This paper examines the potential application and implications of artificial intelligence for contemporary library services in Nigeria.
Methods: This paper adopts the expository research approach to evaluate the application and implication of artificial intelligence in contemporary library services in Nigeria. Through systematic analysis of literature, the study addresses how academic libraries can utilize artificial intelligence to support innovative library services.
Findings: The column emphasizes that, academic libraries in Nigeria have not yet adopted and applied AI, in spite of the potential that it holds for libraries. Given that there has been relatively little study linking artificial intelligence (AI) to librarianship, this may be because there is a low degree of awareness and adoption of AI's importance in libraries.
Conclusions: This column is the original idea from the authors and does not reflect on any copyrighted materials. The column recommended that, academic libraries in Nigeria should fully embrace artificial intelligence like chatbots, barcodes, RFIDs, and robots for delivering quality services and libraries should also leverage on the opportunities presented by artificial intelligence to reconnect their remote users, and consequently re-establish their relevance among the user community.

Application of blockchain technology to 21st century library services: Benefits and best practices

Vivien Oluchi Emmanuel — 2023-07-12

The fourth industrial revolution has paved the way for emerging technologies, and among them, blockchain stands out for its unprecedented ability to create and trade value in library organizations. This research paper explores the potential application of blockchain technologies in 21st-century library services. By conducting a systematic analysis of the literature, this study examines how libraries can harness blockchain to support innovative services and meet global demands. The study suggests that the recent advancements in blockchain have led to a fourth generation of the technology, which possesses disruptive capabilities across diverse fields, including library and information science. The paper proposes that blockchain can enhance library services such as collection development, circulation services, research, data management, and storage. It is important to note that this paper represents the original ideas of the authors and does not rely on copyrighted materials. Furthermore, it highlights that blockchain remains a vast and underexplored area of research, presenting both challenges and opportunities for library professionals seeking to provide diverse library services.

Designing a Framework for the Appropriation of Information Technologies in University Teachers: A Four-Phase Approach

Mario Macea-Anaya — 2023-06-04

The implementation of Information Technology (IT) in university education encompasses multiple aspects, from the incorporation of accessible technologies to the disruptive transformation of learning through emerging technologies. This article proposes a conceptual framework that describes four phases of IT adoption by university teachers: Technology Adoption, Online Collaboration and Feedback, Technology Exploration and Experimentation, and Adoption of Emerging Technologies. Each phase is detailed, starting from the integration of accessible technological tools to the incorporation of emerging technologies such as artificial intelligence, virtual and augmented reality, to create innovative and transformative learning experiences. This article is based on bibliographic references that support each phase and underline the importance of personalizing learning, promoting interaction between students and teachers, and applying project-based approaches to enrich the educational process.

Quality Management System for Higher Education: A Systematic Review

Daniel Cristóbal Andrade-Girón — 2023-10-15

Global organizations currently face the challenge of managing massive volumes of data and knowledge efficiently. The consolidation of the knowledge society is manifesting itself in an evident way, driving university institutions to reconfigure both their academic and administrative processes in order to achieve excellence in their functions. In this context, the central purpose of this research is to present a comprehensive systematic review of the implementation of Quality Management Systems (QMS) in the field of higher education. In order to address this issue with the utmost rigor, a systematic review was carried out incorporating the fundamental pillars outlined in the PRISMA statement. In an initial phase, a selection of 883 papers was carried out from preeminent documentary sources, namely: Scopus, IEEE and Web Science. Subsequently, the final review was confined to a corpus of 23 research papers. The results derived from this thorough review show that the paradigm embodied by the ISO 9001 model prevails as the most predominant approach, with 69.56% representativeness in the set of studies analyzed. In contrast, the EFQM, TQM and Malcom Baldrige models showed a more modest presence, each accounting for 4.35% of the total number of studies examined. In addition, fundamental aspects have been identified that both facilitate and condition the process of implementing QMS.