Repositorio Universidad Católica del Maule: Envíos recientes
Mostrando publicaciones 1441-1460 de 5655
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Analysis of two discrete forms of the classic continuous SIR epidemiological model
(2019)From continuous standard SIR model, which is configured from two sequenced flows (a) susceptible – infectious and (b) infectious – removed, we obtain two impulsive SIR models assuming different time scales for (a) respect ...
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A real-world effectiveness study comparing a priority appointment, an enhanced contact intervention, and a psychotherapeutic program following attempted suicide
(2019)Objective: To determine the comparative effectiveness of 3 real-practice preventive programs aimed at lowering the relapse risk following a suicide attempt: a single priority appointment with an outpatient psychiatrist, ...
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Multi-speaker localization by central and lateral microphone arrays based on the combination of 2D-SRP and subband GEVD algorithms
(2022)In this paper, a novel speech source localization (SSL) algorithm by the use of the central and lateral microphone arrays is proposed with low complexity and high precision in undesirable acoustical environments. Firstly, ...
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Cardiac and vascular sympathetic baroreflex control during orthostatic pre-syncope
(2019)We hypothesized that sympathetic baroreflex mediated uncoupling between neural sympathetic discharge pattern and arterial pressure (AP) fluctuations at 0.1 Hz during baroreceptor unloading might promote orthostatic ...
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Fluidisation by pore pressure of dense granular flows: numerical simulations versus experiments
(2022)A model accounting for fluidisation by pore gas pressure in dense granular flows is presented. A viscoplastic rheology, based on the Drucker-Prager criterium, is used to describe the granular medium which is a mixture ...
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Comparison of mental health treatment adequacy and costs in public hospitals in Boston and Madrid
(2019)Analyses of healthcare expenditures and adequacy are needed to identify cost-effective policies and practices that improve mental healthcare quality. Data are from 2010 to 2012 electronic health records from three hospital ...
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Estimating the number of speakers by novel zig-zag nested microphone array based on wavelet packet and adaptive GCC method
(2022)In this paper, a new speaker counting algorithm is proposed by novel zig-zag nested array (ZZNA) combining with adaptive generalized cross-correlation (GCC) function (with phase transform (PHAT) and maximum likelihood (ML)) ...
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Off-line writer verification based on small segments of handwritten text and convolutional neural networks
; Mora, Marco
; ; (2022)
This paper proposes a new method for writer identification based on small fragments of handwritten text randomly obtained from a paragraph. The main contribution of this work is to show that small fragments carry enough ...
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What hides Chile’s electricity mix data: a data science perspective
(2022)In the context of decarbonization and fossil fuel independence, Chile has a great task ahead. The most relevant is to become carbon neutral by 2050 by replacing fossil fuels with clean energy sources, where, besides ...
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Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron
; ; Mora, Marco; ; (2022)
Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing ...
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Deep learning algorithm applied to bacteria recognition
(2022)Pathogenic bacteria are harmful microorganisms capable of causing diseases. To fight or eliminate those microorganisms, antibiotics with antimicrobial action have been developed wich can be synthetic or semi synthetic. ...
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Fruit-scan: system to automatically detect raspberry quality using computer vision techniques
Mora, Marco (2022)
Chile ranks tenth among the countries that export raspberries. In the Maule Region there are approximately 1,200 families who obtain their economic livelihood based on raspberry production. Raspberry exporting companies ...
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A new fast training algorithm for autoencoder neural networks based on extreme learning machine
; Mora, Marco; ; ; ; (2022)
Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...
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Classification of diseased and healthy apple leaves through extreme learning machines
; ; ; ; Barrientos, Ricardo (2022)
Diseases in agricultural crops are a risk for fruit productivity and quality. Chile is a fruit exporting country; that needs the development of technologies for diseases prevention and treatment. Farmers have been exploring ...
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Fast tuning of extreme learning machine neural networks based with simple optimization algorithms
; Mora, Marco; ; ; (2022)
Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...
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Profesores en pandemia: identidad profesional en medios de comunicación escrita
(2022)Este estudio buscó describir e interpretar las teorías subjetivas sobre la identidad profesional docente que se construyen y difunden noticiosamente durante la educación de emergencia por la pandemia de ...
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Prácticas docentes motivadoras en la enseñanza superior: el caso de los programas de salud y pedagogía
(2022)El presente estudio analiza las prácticas motivacionales reportadas por los académicos de programas de educación y salud. Profesores de ambas áreas de conocimiento (n= 392) respondieron a un cuestionario sobre sus ...
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La participación como técnica de gobierno bajo el nuevo sistema de educación pública en Chile
(2022)Desde hace 40años el sistema educativo chileno ha sido sometido a la gestión privada de los servicios públicos, conocida como Nueva Gestión Pública (NGP). Esta promueve la competencia, la rendición de cuentas de altas ...
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Evolution of the volatile organic compounds, phenols and antioxidant capacity during fruit ripening and development of rubus ulmifolius schott fruits
(2023)Nowadays, a growing interest in consumers’ fruit with a high content of health-promoting compounds has been observed. In this sense, wild berries have received special attention based on their high accumulation of phenolic ...