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Mostrando publicaciones 17-36 de 5868
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A beta partial least squares regression model: Diagnostics and application to mining industry data
(2018)We propose a methodology based on partial least squares (PLS) regression models using the beta distribution, which is useful for describing data measured between zero and one. The beta PLS model parameters are estimated ...
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A breakthrough on cancer therapy by inhibition of negative immune regulation: nobel prize in physiology or medicine 2018
(2020)James P. Allison from the MD Anderson Cancer Center, University of Texas, and Tasuku Honjo from Kyoto university were jointly awarded the prestigious Nobel Prize in Physiology/Medicine 2018. Their therapeutic research is ...
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A brief tutorial on quadratic stability of linear parameter-varying model for biomathematical systems
(2019)Many biological phenomena are investigated using models formulated in terms on nonlinear differential equations and, in general, the global stability is assured point-to-point by Lyapunov's theory. However, many times the ...
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A Cardy-like formula for rotating black holes with planar horizon
(2017)We show that the semiclassical entropy of D−dimensional rotating (an)isotropic black holes with planar horizon can be successfully computed according to a Cardy-like formula. This formula does not refer to any central ...
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A case study on the effects of task-based learning approach on sixth grade learners’ oral competence
(Universidad Católica del Maule, Facultad de Ciencias de la Educación, 2018) -
A case study on the impact of cooperative-based learning activities in ESP learners
(Universidad Católica del Maule, Facultad de Ciencias de la Educación, 2018) -
A centronuclear myopathy-causing mutation in dynamin-2 disrupts neuronal morphology and excitatory synaptic transmission in a murine model of the disease
(2023)Aims Dynamin-2 is a large GTPase, a member of the dynamin superfamily that regulates membrane remodelling and cytoskeleton dynamics. Mutations in the dynamin-2 gene (DNM2) cause autosomal dominant centronuclear myopathy ...
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A Cobb–Douglas type model with stochastic restrictions: Formulation, local influence diagnostics and data analytics in economics
(2019)We propose a methodology for modelling and influence diagnostics in a Cobb–Douglas type setting. This methodology is useful for describing case-studies from economics. We consider stochastic restrictions for the model based ...
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A comparative analysis of massive finger-vein recognition algorithms: from energy consumption perspective
; ; ; ; Barrientos, Ricardo
(2022)
The volume of data generated has grown exponentially in recent years worldwide. In general, parallel architectures such as clusters, multicores, and GPUs have reduced processing times compared to their sequential version. ...
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A comparative study of third year commercial and MINEDUC high school english textbooks with regard to the development of critical thinking skills in english
(Universidad Católica del Maule, Facultad de Ciencias de la Educación, 2014)El propósito de este proyecto es comparar los verbos de instrucción presentes en las actividades de dos textos de inglés, uno usado en un establecimiento público y otro en uno privado, con el fin de determinar el grado en ...
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A comparison of anthropometric parameters and the body composition of professional soccer players
(2022)The present cross-sectional (comparative) study aimed to compare the anthropometric and body composition parameters in professional soccer players over five seasons. It was conducted on 120 soccer players grouped in a ...
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A comparison of static aeration and conventional turning windrow techniques: physicochemical and microbial dynamics in wine residue composting
(2025)Chile, one of the top global wine producers, produces a significant quantity of grape pomace waste, composed primarily of peels and seeds, of which their management includes many environmental challenges. Composting offers ...
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A comparison of stochastic gradient MCMC using multi-core and GPU architectures
(2020)Deep learning models are traditionally used in big data scenarios. When there is not enough training data to fit a large model, transfer learning re-purpose the learned features from an existing model and re-train the lower ...
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A comprehensive review of extreme learning machine on medical imaging
; Mora, Marco; ; ; ; (2023)
The feedforward neural network based on randomization has been of great interest in the scientific community, particularly extreme learning machines, due to its simplicity, training speed, and levels of accuracy comparable ...
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A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile
(2023)A computational approach is adapted to analyze the parameteridentifiability of a compartmental model. The model is intended todescribe the progression of the COVID-19 pandemic in Chile duringthe initial phase in early 2020 ...
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A computational approach to predict the role of genetic alterations in methyltransferase histones genes with implications in liver cancer
(2023)Histone methyltransferases (HMTs) comprise a subclass of epigenetic regulators. Dysregulation of these enzymes results in aberrant epigenetic regulation, commonly observed in various tumor types, including hepatocellular ...
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A conceptual research model for investigating the impact of online teacherpreneurship education on students’ teacherpreneurial competencies and intentions in preservice teacher education
(2020)This article seeks to develop a research model that can be employed to study the impact of online teacherpreneurship education on students' teacherpreneurial competence and intention as well as employability. Based on the ...
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A Cross-cultural exploration of problematic Internet use, pathological personality traits, defense mechanisms, coping strategies, and self-esteem in 14 countries
(2025)Objectives The primary objective of this study was to compare the estimates of Problematic Internet Use (PIU) from 14 countries around the world, considering gender. The second objective was to explore the relationships ...
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A deep learning approach to population structure inference in inbred lines of maize
(2020)Analysis of population genetic variation and structure is a common practice for genome-wide studies, including association mapping, ecology, and evolution studies in several crop species. In this study, machine learning ...
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A description of the epidemiological dynamics of Chagas disease via mathematical modeling
; ; Cancino-Faure, Beatriz; ; (2023)
Chagas disease is caused by the protozoan Trypanosoma cruzi, which parasitizes many mammals, including humans. Its vectors are blood-feeding hematophagous triatomine insects of different species, which vary according to ...