Buscar
Mostrando ítems 1-10 de 16
A Governing Framework for Data-Driven Small Organizations in Colombia
(Springer, 2019-03)
Historically, data has been seen as the result of business transactions, with a little value beyond them, but they were not treated as a valuable shared asset. From the early 1990s, business decisions and processes started to be driven increasingly by data and data analysis. Further investment in data management was the approach taken to tackle the increasing volume, velocity, and variety of data, such as complex data repositories, data warehouses, and complex information systems. Data needed to be shared between multiple systems, which gave ...
Modelos de optimización multiobjetivo para el proceso de pesaje multicabezal: una revisión bibliográfica
(Memorias de la Décima Octava Conferencia Iberoamericana en Sistemas, Cibernética e Informática (CISCI 2019), 2019)
Las maquinas multicabezales proporcionan a la industria de
envasado eficiencia y eficacia en el proceso de dosificación de
productos, especialmente a la industria de alimentos. La
optimización cumple un papel fundamental para la
programación de este tipo de máquinas, en la medida que ellas
siguen algoritmos diseñados para mejorar la precisión en los
resultados y disminución en los tiempos de respuesta. Esto
aporta a la disminución de la variabilidad del proceso, los
costos de materia prima y al incremento en la satisfacción de los
clientes. ...
Enfoques de cartas de control para el monitoreo de procesos con distribución asimétrica: una revisión bibliográfica
(Memorias de la Décima Octava Conferencia Iberoamericana en Sistemas, Cibernética e Informática (CISCI 2019), 2019)
Las cartas de control de procesos son herramientas utilizadas para
monitorear el comportamiento que generan las causas asignables
en un proceso. En este sentido, diferentes autores exponen desde
diferentes perspectivas la manera de tratar el comportamiento de
los datos o los resultados de la variable de calidad; cuando estos
tienen un comportamiento asimétrico, así mismo se plantean
diversas formas de construir cartas de control que vayan
encaminadas a monitorear de manera óptima dicha variable. En
este artículo se presenta una revisión ...
Hepatic and neurobiological effects of foetal and breastfeeding and adulthood exposure to methylmercury in Wistar rats
(ELSevier, 2019)
Methylmercury (MeHg) is an organic bioaccumulated mercury derivative that strongly affects the
environment and represents a public health problem primarily to riparian communities in South
America. Our objective was to investigate the hepatic and neurological effects of MeHg exposure during
the phases foetal and breast-feeding and adult in Wistar rats. Wistar rats (n = 10) were divided into 3
groups. Control group received mineral oil; The simple exposure (SE) group was exposed only in
adulthood (0.5 mg/kg/day); and double exposure (DE) was ...
Mechanisms of palmitate-induced lipotoxicity in osteocytes
(Elsevier, 2019-06)
Background: Lipotoxicity is defined as cellular toxicity observed in the presence of an abnormal accumulation of
fat and adipocyte-derived factors in non-fat tissues. Palmitic acid (PA), an abundant fatty acid in the bone
marrow and particularly in osteoporotic bones, affects osteoblastogenesis and osteoblast function, decreasing
their survival through induction of apoptosis and dysfunctional autophagy. In this study, we hypothesized that
PA also has a lipotoxic effect on osteocytes in vitro.
Methods: Initially, we tested the effect of PA ...
Knowledge discovery in musical databases for moods detection
(Institute of Electrical and Electronics Engineers (IEEE), 2019-12)
In this paper, methodology Knowledge discovery in
databases is used in the design and implementation of a tool for
moods detection from musical data. The application allows users
to interact with a music player, and based on their playlist and
musical genre, recognizes and classified their emotional state
using a neural network. The results found are promising to have
an accuracy of more than 72,4%, in addition the developed tool
allows the constant taking and storage of data, the analysis in
real time and issues suggestions of songs to ...
Study of Medical Image Processing techniques applied to Lung Cancer
(IEEE, 2019-07)
Lung cancer is the leading cause of death from
cancer worldwide. Medical images are essential in the diagnosis
and prognosis of lung cancer. Medical image processing
techniques such as Radiomics allow extracting information from
these images that it is not accessible without computational
means, and may be useful in the detection and treatment of
cancer. This article presents the state of the art of image
processing techniques applied in the study of lung cancer,
emphasizing in two main tasks: segmentation of nodules or
tumors, and ...
Perirenal fat thickness is associated with metabolic risk factors in patients with chronic kidney disease
(The Korean Society of Nephrology, 2019)
Adipose tissue accumulation in specific body compartments has been associated with diabetes, hypertension and dyslipidemia. Perirenal fat (PRF) may lead to have direct lipotoxic effects on renal function and intrarenal hydrostatic pressure. This study was undertaken to explore the association of PRF with cardiovascular risk factors and different stages of chronic kidney disease (CKD). We studied 103 patients with CKD of different stages (1 to 5). PRF was measured by B-mode renal ultrasonography in the distal third between the cortex and the hepatic ...
Water cycle algorithm: implementation and analysis of solutions to the bi-bjective travelling salesman problem
(International Journal of Artificial Intelligence, 2019)
This research is an implementation of the Water Cycle Algorithm (WCA) to solve the biobjective
Travelling Salesman Problem, based on the kroAB100 problem in the TSPLIB
library, and compare its performance to an alternative metaheuristic algorithm (MO Ant
Colony BiCriterionAnt). Metrics such as generational distance, inverse generational distance,
spacing, dispersion and maximum dispersion were used to compare the two algorithms.
Results demonstrate that the Water Cycle Algorithm generates superior solutions to this
category of problem ...
Estructura interna del Student Adaptation to College Questionnaire (SACQ) en universitarios de primer año
(ElSevier, 2019)
Objetivo: La presente investigación tuvo por objetivo obtener evidencias de validez respecto a
la estructura interna de una escala de adaptación a la vida universitaria, el Student Adaptation
to College Questionnaire (SACQ), en estudiantes de primer a˜no de estudios de una universidad
peruana.
Método: Participaron 557 estudiantes (53% mujeres), quienes fueron evaluados de forma colectiva
con el SACQ. Se ejecutó un análisis factorial confirmatorio para evaluar los diversos
modelos de medición del SACQ hallados en la literatura, y al no obtener ...