Browsing by Author "Espinoza Lituma, Juan David"

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Frecuencia y asociación entre helicobacter pylori, metaplasia, displasia y neoplasia gástricas en el Laboratorio H&E de la ciudad de Cuenca en el periodo julio 2020- diciembre 2021
(Universidad de Cuenca. Facultad de Ciencias Médicas, 2025-11-18) Espinoza Lituma, Juan David; Chicaiza Capón, David Mateo; González Domínguez, Esteban Horacio
Background: Helicobacter pylori (H. pylori) can colonize the gastric mucosa and affects more than half of the world's population, with a higher prevalence in developing countries. The World Health Organization (WHO) recognizes it as a Type I carcinogen due to its association with gastric adenocarcinoma. High rates of infection and gastric neoplasms are recorded in our setting, although recent local studies are limited. Objectives: To determine the frequency and association of H. pylori infection, metaplasia, dysplasia, and gastric neoplasia in patients evaluated at the H&E laboratory in the city of Cuenca between July 2020 and December 2021. Methods: An analytical, observational, retrospective, cross-sectional study. A total of 653 histopathological reports were analyzed to evaluate the frequency and association between variables using analytical statistical analysis. Results: The prevalence of H. pylori was 62.6%. Intestinal metaplasia reached 45.9%, dysplasia 22%, and neoplasia 2.8%, with poorly differentiated adenocarcinoma and the intestinal subtype predominating. Metaplasia (χ2=143,3; p=0,001; OR adjusted=0,420; IC95%: 0,201–0,879) and dysplasia (χ2=38,1; p=0,001; OR crude=0,332; IC95%: 0,203–0,544) were more frequent in H. pylori-negative subjects. Glandular atrophy showed a positive gradient association with metaplasia (OR=4,1– 7,2) y dysplasia (OR=7,7–21,2). Neoplasia was not associated with H. pylori in the crude analysis (χ2=0,735; p=0,391), but an independent association emerged after adjustment (OR=202,4; IC95%: 2,71–15.129; p=0,016). Furthermore, incidentally, a considerable frequency (83.5%) of patients with data suggestive of autoimmune gastritis was found.
Towards a Methodologhy to Extract Forensics Information from the Smartphone Sensors: Finding Evidence
(Institute of Electrical and Electronics Engineers Inc., 2018) Campos Argudo, Karina Pamela; Espinoza Lituma, Juan David; Yanez Rodas, Juan Francisco; Cedillo Orellana, Irene Priscila
Currently smartphones have been acquired by a big segment of the population, their capabilities have been increased. Nowadays, it can be found different functionalities and sensors included in these artifacts. Therefore, a lot of studies can be extracted from users which have one of these devices. In this paper we present a new methodology that uses the information obtained from the sensors of smartphones in order to use the generated information as digital evidence. The methodology developed allows the gathering of information by using in conjunction with the accelerometer, gyroscope, GPS, step counter, and the date and time stamp. These data can be used for the detection of motor activity and unusual movements. The study shows that the proposed methodology is a viable option to be used as digital evidence in criminal cases.
Towards a methodologhy to extract forensics information from the smartphone sensors: finding evidence
(IEEE, 2018) Campos Argudo, Karina Pamela; Espinoza Lituma, Juan David; Yanez Rodas, Juan Francisco; Cedillo Orellana, Irene Priscila; Cedillo Orellana, Irene Priscila
Currently smartphones have been acquired by a big segment of the population, their capabilities have been increased. Nowadays, it can be found different functionalities and sensors included in these artifacts. Therefore, a lot of studies can be extracted from users which have one of these devices. In this paper we present a new methodology that uses the information obtained from the sensors of smartphones in order to use the generated information as digital evidence. The methodology developed allows the gathering of information by using in conjunction with the accelerometer, gyroscope, GPS, step counter, and the date and time stamp. These data can be used for the detection of motor activity and unusual movements. The study shows that the proposed methodology is a viable option to be used as digital evidence in criminal cases.