Artículos de conferencia

Permanent URI for this collection

https://repositorio.uc.cl/handle/11534/23156

Browse

Browsing Artículos de conferencia by Subject "03 Good Health and Well-being"

Now showing 1 - 16 of 16
  • Thumbnail Image
    Item
    Algebraic Reconstruction of Source and Attenuation in SPECT Using First Scattering Measurements
    (Springer, 2018) Cueva, Evelyn; Osses Alvarado, Axel Esteban; Quintana Fresno, Juan Carlos; Tejos Núñez, Cristián Andrés; Courdurier Bettancourt Matias Alejandro; Irarrazaval Mena, Pablo
    Here we present an Algebraic Reconstruction Technique (ART) for solving the identification problem in Single Photon Emission Computed Tomography (SPECT). Traditional reconstruction for SPECT is done by finding the radiation source, nevertheless the attenuation of the surrounding tissue affects the data. In this context, ballistic and first scattering information are used to recover source and attenuation simultaneously. Both measurements are related with the Attenuated Radon Transform and a Klein-Nishina angular type dependency is considered for the scattering. The proposed ART algorithm allow us to obtain good reconstructions of both objects in a few number of iterations.
  • No Thumbnail Available
    Item
    ANTICHOLINERGIC THERAPY IN CYSTIC-FIBROSIS PATIENTS
    (EDITIONS SCIENTIFIQUES ELSEVIER, 1995) Sánchez Díaz, Ignacio
  • Thumbnail Image
    Item
    Arsenic-related cancer mortality in Northern Chile, 1989-98
    (LIPPINCOTT WILLIAMS & WILKINS, 2004) Bates, M; Marshall, G; Ferreccio, C; Smith, A
  • No Thumbnail Available
    Item
    Basic aspects of oviduct function
    (PARTHENON PUBLISHING GROUP LTD, 1997) Croxatto, HB; Ortiz, ME; Villalon, M; Cardenas, H; Imarai, M; Hermoso, M; Velasquez, L; Orihuela, P; Coutifaris, C; Mastroianni, L
  • Thumbnail Image
    Item
    Bayesian Modeling of Censored Partial Linear Models using Scale-Mixtures of Normal Distributions
    (AMER INST PHYSICS, 2012) Castro, Luis M.; Lachos, Victor H.; Ferreira, Guillermo P.; Arellano Valle, Reinaldo B.; Stern, JM; Lauretto, MD; Polpo, A; Diniz, MA
    Regression models where the dependent variable is censored (limited) are usually considered in statistical analysis. Particularly, the case of a truncation to the left of zero and a normality assumption for the error terms is studied in detail by [1] in the well known Tobit model. In the present article, this typical censored regression model is extended by considering a partial linear model with errors belonging to the class of scale mixture of normal distributions. We achieve a fully Bayesian inference by adopting a Metropolis algorithm within a Gibbs sampler. The likelihood function is utilized to compute not only some Bayesian model selection measures but also to develop Bayesian case-deletion influence diagnostics based on the q-divergence measures. We evaluate the performances of the proposed methods with simulated data. In addition, we present an application in order to know what type of variables affect the income of housewives.
  • No Thumbnail Available
    Item
    Effect of prostaglandins F-2 alpha and E-2 on human sperm motility
    (CAMBRIDGE UNIV PRESS, 2000) Kerr, B; Villalon, MJ
  • No Thumbnail Available
    Item
    EMBRYO SECRETED FACTORS INCREASE THE FREQUENCY OF CILIARY BEAT OF HAMSTER OVIDUCTAL CILIATED CELLS
    (SOC STUDY REPRODUCTION, 1995) HERMOSO, MA; VILLALON, MJ
  • No Thumbnail Available
    Item
    Examining the effect of freezing on starch gelatinization during heating at high rates using online in situ hot-stage video-microscopy and differential scanning calorimetry
    (INST CHEMICAL ENGINEERS, 2016) Molina Maydl, María Teresa; Leiva Maturana, Ana María; Bouchon Aguirre, Pedro Alejandro
  • Thumbnail Image
    Item
    Hepatic fatty acid profile in mice with nonalcoholic fatty liver disease using magnetic resonance spectroscopy
    (2019) Xavier, Aline Carvalho da Silva; Zacconi, Flavia C. M.; Cabrera García, Daniel Alejandro; Fuenzalida, Karen; Andía Kohnenkampf, Marcelo Edgardo
    Nonalcoholic fatty liver disease (NAFLD) is characterized by the accumulation of intracellular fatty acids in the liver. The only method to confirm the stage of this disease is the biopsy, but it is invasive and risky to patients. The idea of defining a classifier using magnetic resonance spectroscopy (MRS) emerges due to the need to find a way to replace biopsy with a non-invasive method that can classify NAFLD based on the chemical structure of fatty acids stored in the liver. The purpose of this study is to investigate and compare the composition of fatty acids to the metabolites signals in MRS in NAFLD mice liver at 2 time-point during the progression of the disease. A group of C57BL/6 mice was fed with high-fat diet for one month (N = 8) and for three months (N = 6). First, we made a histological analysis to the liver. Then, we analysed the fatty acids with gas chromatography (GC) and MRS. As a result, the histological analysis showed the progression of fat content, and the GC analysis detected a different fatty acid liver composition during the progression of NAFLD along with an increase of the total fat storage in the liver. The differences in the composition fatty acids are also reflected in the MR Spectrum, which could have clinical potential for monitoring the progression of this disease with a non-invasive technique.
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    PIVOT: Prompting for Video Continual Learning
    (IEEE Computer Soc., 2023) Villa Ojeda, Andres Felipe; Alcazar, Juan Leon; Alfarra, Motasem; Alhamoud, Kumail; Hurtado, Julio; Heilbron, Fabian Caba; Soto, Alvaro; Ghanem, Bernard
    Modern machine learning pipelines are limited due to data availability, storage quotas, privacy regulations, and expensive annotation processes. These constraints make it difficult or impossible to train and update large-scale models on such dynamic annotated sets. Continual learning directly approaches this problem, with the ultimate goal of devising methods where a deep neural network effectively learns relevant patterns for new (unseen) classes, without significantly altering its performance on previously learned ones. In this paper, we address the problem of continual learning for video data. We introduce PIVOT, a novel method that leverages extensive knowledge in pre-trained models from the image domain, thereby reducing the number of trainable parameters and the associated forgetting. Unlike previous methods, ours is the first approach that effectively uses prompting mechanisms for continual learning without any in-domain pre-training. Our experiments show that PIVOT improves state-of-the-art methods by a significant 27% on the 20-task ActivityNet setup.
  • No Thumbnail Available
    Item
    Preimplantational hamster embryos produce prostaglandin E(2) and platelet activating factor in vitro
    (SOC STUDY REPRODUCTION, 1996) Hermoso, M; Magness, RR; Bavister, B; Villalon, M
  • Thumbnail Image
    Item
    RENAL FUNCTION IN THE PERIOPERATIVE PERIOD OF CARDIAC SURGERY WITH CARDIOPULMONARY BYPASS, IN NEWBORNS WITH COMPLEX CONGENITAL HEART DISEASES: USE OF THE BIOMARKER KIM-1.
    (LIPPINCOTT WILLIAMS & WILKINS, 2016) Borchert, E.; Lema, G.; Jalil, R.; Guzman, A. M.; De la Fuente, R.; Gomez, M.; Fuentes, D.
  • No Thumbnail Available
    Item
    Study Designs in Genomic Epidemiology
    (ACADEMIC PRESS LTD-ELSEVIER SCIENCE LTD, 2020) Santos Martin, José Luis; Rivadeneira, Fernando
    The choice of an appropriate study design is a critical first step in any genomic epidemiology research, especially considering the current unprecedented capacity of generating massive information derived from genomics and other "-omics” disciplines. In this chapter, we will review the main types of study designs used to discover novel genes or gene variants related to human diseases, as well as to assess their quantitative impact on disease risk. Several study designs are commonly used in the field of epidemiology (for example, cohort, classical case-control, and case-cohort studies). In contrast, other study designs based on the observation of resemblance among relatives come primarily from the field of human genetics, such as family aggregation, adoption, and monozygotic-dizygotic twin studies. Finally, the massive incorporation of genetic markers and next-generation sequencing data has been used in linkage studies of nuclear or multigenerational families, genomic studies of population isolates, and genome-wide association studies.
  • No Thumbnail Available
    Item
    SU‐E‐T‐466: TCP and NTCP: Is That All?
    (2012) Sánchez Nieto, Beatriz; Expósito, M. R.; Terrón, J. A.; Paiusco, M.; Cagni, E.; Ghetti, C.; Filice, S.; Grishchuk, D.; Mateos, Juan Carlos; Roselló, J.; Planes, Domingo; Núñez, L.; Sánchez Doblado, Francisco
  • No Thumbnail Available
    Item