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1
artículo
Nowadays information systems are struggling to achieve the desired success, because one of its components is the development of web application struggle to be done, this is it because it takes a while for the creation of programming and once separately to create the data model, there is no technique that integrates both. Recent studies have shown that there are several programming techniques such as object oriented programming, aspect‐ oriented programming and programming targeted agents, and the creation of the data model are also techniques such as database connection object‐oriented entity, The this research aims to develop a web development technique based on database modeling object‐oriented model using entity relationship. Consequently, this study proposes two measures to validate the performance of web application development using analysis of variance, first the number of l...
2
artículo
Nowadays information systems are struggling to achieve the desired success, because one of its components is the development of web application struggle to be done, this is it because it takes a while for the creation of programming and once separately to create the data model, there is no technique that integrates both. Recent studies have shown that there are several programming techniques such as object oriented programming, aspect‐ oriented programming and programming targeted agents, and the creation of the data model are also techniques such as database connection object‐oriented entity, The this research aims to develop a web development technique based on database modeling object‐oriented model using entity relationship. Consequently, this study proposes two measures to validate the performance of web application development using analysis of variance, first the number of l...
3
artículo
Publicado 2019
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This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
4
artículo
Publicado 2019
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This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
5
tesis de grado
Publicado 2022
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Durante los últimos años se ha observado una enfermedad con mayor incidencia en niños y adolescentes, siendo esta la debilidad ósea, la cual puede ser el inicio de enfermedades óseas crónicas y futuro cáncer de huesos, es por ello que nuestro objetivo es detectar la debilidad ósea en niños, niñas y adolescentes a través de indicadores antropométricos en las zonas alto andinas del Perú, específicamente en la ciudad de Arequipa. Aplicando diversas técnicas de minería de datos que permiten un análisis profundo y la predicción que estos algoritmos indican después del entrenamiento. Se trabajó con datos de 1511 personas entre niños y adolescentes. Se utilizó la metodología Knowledge Discovery in Databases para realizar el pre-entrenamiento de datos. Al aplicar los algoritmos de clasificación se obtuvo que 2 de cada 5 personas entre niños y adolescentes padecen debilid...
6
artículo
Publicado 2023
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The quality of a research work depends, mainly, on the adequate choice of the design and development of the techniques, as well as the instruments that will be used. Once the identification of the problem, the determination of the variables and the conceptualization have been carried out, it will proceed to its decomposition into dimensions, indicators and items, a fundamental activity to find its essence. This item construction procedure requires cognitive domain of the categories to be used; For this, it is necessary to create a theoretical framework, based on existing documentation. Then proceed with the design and development of the instrument, which will necessarily go through an assessment process to determine its construct validity, content, item analysis, confirmatory analysis, and reliability. The instruments generally respond to the type, level and design of the investigation, ...
7
artículo
This study suggests an interdisciplinary model for the analysis of school argumentation that applies the Theory of Argumentation to the educational field. For the reconstruction of the school argumentative discourse, two theoretical tools have been used: Lo Cascio’s (1998) textual linguistics —useful in order to discover the argumentative framework— and the new rhetoric of Perelman and Olbrechts-Tyteca (1958/1989), which will serve to recognize the argumentative techniques used. The method of this work is a qualitative research with descriptive orientation; the latter aspect can be seen in the systematic observation of the elements that make up the argumentation, the graphic representation of the arguments and the identification of the argumentative techniques used by the students in their dissertation. The evaluation of these data provides an understanding of the relationship betw...
8
tesis de maestría
El ultrasonido cuantitativo (QUS, por sus siglas en inglés) es una modalidad de imagen no invasiva que caracteriza numéricamente los tejidos para el diagnóstico médico. Los estimadores QUS se basan en parámetros acústicos como la pendiente del coeficiente de atenuación (ACS, por sus siglas en inglés). Un estudio anterior propuso eliminar el ruido de las relaciones logarítmicas espectrales utilizando una variación total de un solo canal a través de la frecuencia. El método espectral para estimar el ACS, conocido como diferencia logarítmica espectral (SLD, por sus siglas en inglés) no incorpora ninguna estrategia de reconstrucción conjunta para mejorar la imagen. Por lo tanto, este trabajo propone la integración de dos estrategias conjuntas compatibles con el marco SLD. Primero, un enfoque de regularización conjunta denominado variación total nuclear (TNV-SLD) es implemen...
9
tesis de maestría
El ultrasonido cuantitativo (QUS, por sus siglas en inglés) es una modalidad de imagen no invasiva que caracteriza numéricamente los tejidos para el diagnóstico médico. Los estimadores QUS se basan en parámetros acústicos como la pendiente del coeficiente de atenuación (ACS, por sus siglas en inglés). Un estudio anterior propuso eliminar el ruido de las relaciones logarítmicas espectrales utilizando una variación total de un solo canal a través de la frecuencia. El método espectral para estimar el ACS, conocido como diferencia logarítmica espectral (SLD, por sus siglas en inglés) no incorpora ninguna estrategia de reconstrucción conjunta para mejorar la imagen. Por lo tanto, este trabajo propone la integración de dos estrategias conjuntas compatibles con el marco SLD. Primero, un enfoque de regularización conjunta denominado variación total nuclear (TNV-SLD) es implemen...
10
artículo
Publicado 2018
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Disruptive technologies and their impact on journalism and communication force us to assume challenges in learning new techniques for data and information processing. Interdisciplinary knowledge is evident in the teaching of new professional profiles. Data journalism is an example of this, so the immersion into a data culture must be preceded by awareness in the learning of news applications, algorithms or the treatment of Big Data, elements that configure new paradigms among journalists of the media on the Internet. With the revision of texts, direct observation of selected applications and case study, some conclusions are established that contain a growing demand in the knowledge of new techniques. The results show the use of technological resources and the proposal of changes in the curricula of the communication faculties.
11
artículo
Publicado 2018
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Disruptive technologies and their impact on journalism and communication force us to assume challenges in learning new techniques for data and information processing. Interdisciplinary knowledge is evident in the teaching of new professional profiles. Data journalism is an example of this, so the immersion into a data culture must be preceded by awareness in the learning of news applications, algorithms or the treatment of Big Data, elements that configure new paradigms among journalists of the media on the Internet. With the revision of texts, direct observation of selected applications and case study, some conclusions are established that contain a growing demand in the knowledge of new techniques. The results show the use of technological resources and the proposal of changes in the curricula of the communication faculties.
12
artículo
In this paper, an analysis of deep learning techniques for weather forecasting using statistical downscaling approaches was developed. These are important, since they allow adjusting large-scale climate projections generated by the GCM climate model to more accurate and defined forecasts for specific areas, thus allowing overcoming the limitations of traditional numerical models in the representation of local and small-scale phenomena. Studies implementing Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN) were analyzed in order to improve the spatial and temporal resolution of climate data. Both tools and techniques have proven to be effective in projects such as VALUE, which is in charge of evaluating downscaling methods in Europe, and DL4DS, a Python library in charge of applying deep learning algorithms to empirical downscaling of climate data. The main obj...
13
artículo
Publicado 2004
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The present article emphasizes the use of data mining for the discovery of knowledge, with the purpose of contributing in taking tactical decisions and strategies within an organization providing an automated sense to generate knowledge. Techniques, the predictive power of statistical models and the contribution of the various fields of the research have been included.
14
artículo
Publicado 2004
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The present article emphasizes the use of data mining for the discovery of knowledge, with the purpose of contributing in taking tactical decisions and strategies within an organization providing an automated sense to generate knowledge. Techniques, the predictive power of statistical models and the contribution of the various fields of the research have been included.
15
artículo
Publicado 2020
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Phishing is the theft of personal data through fake websites. Victims of this type of theft are directed to a fake website, where they are asked to enter their data to validate their identity. At that moment, theft is carried out, since entered data are stored and used by the hacker responsible for said attack to sell them or enter to websites and perform a fraud or scam. In order to conduct this work, we researched different methods for detecting phishing websites by using machine learning techniques. Thus, the purpose of this work is to compare machine learning techniques that have demonstrated to be the most effective methods to detect phishing websites. The results show that decision tree classifiers such as Decision Tree and Random Forest have achieved the highest accuracy and efficacy rates, with values between 97% and 99%, in detecting these types of websites.
16
artículo
Publicado 2020
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Phishing is the theft of personal data through fake websites. Victims of this type of theft are directed to a fake website, where they are asked to enter their data to validate their identity. At that moment, theft is carried out, since entered data are stored and used by the hacker responsible for said attack to sell them or enter to websites and perform a fraud or scam. In order to conduct this work, we researched different methods for detecting phishing websites by using machine learning techniques. Thus, the purpose of this work is to compare machine learning techniques that have demonstrated to be the most effective methods to detect phishing websites. The results show that decision tree classifiers such as Decision Tree and Random Forest have achieved the highest accuracy and efficacy rates, with values between 97% and 99%, in detecting these types of websites.
17
artículo
Publicado 2017
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In the present study, we repot the results of the valuation of the family dynamics among people personas who were victims of domestic violence. For that, we adopted a family systemic approach and applied the genograms technique. We evaluated 79 people who went to the Public Ministry in Arequipa City, and were selected by quote sampling technique. As instruments there were used the sociodemographic chart, a predesign sheet for genograms drawing and a code chart. The data were processed by descriptive statistical methods, according to the nature of the information obtained. The results indicate that the 78.48% of people had suffered physical violence, being women in highest percentage (83.9%) and coming from nuclear families. Moreover, their relationships with their parents had been null or distanced, and about their own families, nuclear kind in the major proportion, the relationships wer...
18
artículo
Publicado 2018
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Objetivo: Determinar una fórmula de estimación del peso a partir de la edad de niños atendidos en una Clínica de Odontopediatría y comparar su exactitud con las fórmulas estándares. Métodos: Estudio transversal, observacional que incluyó 165 niños entre 3-10 años de edad que se presentaron a la consulta odontopediátrica. El análisis de regresión lineal permitió predecir el peso según la variación de la edad de la muestra estudiada. La fórmula derivada fue analizada según su precisión y exactitud a través de errores promedio porcentuales, límites de acuerdo al 95% y mediante diagramas de Bland-Altman en comparación con las fórmulas de Luscombe, APLS, Tinning y Argall. Resultados: El peso promedio fue de 26,81± 8,46 kg. La fórmula de predicción fue: Peso en kilogramos = 3(edad en años) + 7. La fórmula de Luscombe obtuvo un porcentaje promedio de error de -2,69%...
19
artículo
Objective: To describe a weight estimation formula from the age of children attended in a Pediatric Dentistry Clinic and compare its accuracy with standard formulas. Methods: A cross-sectional, observational study that included 165 children between three and ten years of age who presented to the pediatric dentistry consultation. Linear regression analysis allowed prediction of weight according to the variation of the age of the sample studied. The derived formula was analyzed according to its accuracy and accuracy through mean percentage errors, 95% limits and through Bland-Altman diagrams compared to the Luscombe, APLS, Tinning and Argall formulas. Results: The average weight was 26.81±8.46 kg. The prediction formula was: Weight in kilograms = 3 (age in years) + 7. The Luscombe formula obtained an average error rate of -2.69%, the APLS formula of 17.87%, while Argall formula 1.41. The ...
20
artículo
Publicado 2025
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Autoimmune hemolytic anemia (AIHA) is a rare disease that complicates pre-transfusion tests due to the presence of autoantibodies interfering with conventional serological techniques. This increases the risk of alloimmunization and hinders the selection of compatible units, particularly in multi-transfused patients. This article reviews the use of molecular techniques, such as red blood cell genotyping, to improve transfusion safety in AIHA patients. Data sources such as PubMed, Cochrane, Medline, and Scielo were reviewed to identify relevant studies published between 2013 and 2024. Molecular techniques provide faster and more precise typing, overcoming serological interferences, but face challenges like high costs and limited infrastructure in countries like Peru. The centralization of molecular immunohematology laboratories is proposed as a cost effective solution to ensure equitable a...
