A5101995923- Cervical Cancer and HPV Research
- Fault Detection and Control Systems
- Neural Networks and Applications
- Seismology and Earthquake Studies
- Seismic Imaging and Inversion Techniques
- Anomaly Detection Techniques and Applications
- earthquake and tectonic studies
- Species Distribution and Climate Change
- Injection Molding Process and Properties
- Seismic Performance and Analysis
- Allergic Rhinitis and Sensitization
- Phase Equilibria and Thermodynamics
- Animal Ecology and Behavior Studies
- Earthquake Detection and Analysis
- Reproductive System and Pregnancy
- Evolution and Paleontology Studies
- Tribology and Wear Analysis
- Prosthetics and Rehabilitation Robotics
- AI in cancer detection
- Domain Adaptation and Few-Shot Learning
- Technology in Education and Healthcare
- Time Series Analysis and Forecasting
- Metal Alloys Wear and Properties
- Lubricants and Their Additives
- Hepatitis B Virus Studies
Instituto Politécnico Nacional
2021-2025
Center for Research and Advanced Studies of the National Polytechnic Institute
2019-2022
Costa Rican Department of Social Security
1998-2001
BACKGROUND In a study using split-sample design, liquid-based cytology (ThinPrep® Processor, Cytyc Corporation, Boxborough, MA) was compared with the conventional Papanicolaou (Pap) smear in Guanacaste, Costa Rica. The provides first population-based comparison of ThinPrep® screening technology and includes "gold standard" measures diagnostic accuracy. METHODS performed among over 8000 women residing Rican province high incidence cervical carcinoma. Conventional smears were prepared...
To examine human leukocyte antigen (HLA) involvement in the development of all grades cervical neoplasia, a nested case-control study 10,077 women Guanacaste, Costa Rica, was conducted. Participants had invasive cancer, high-grade squamous intraepithelial lesions (HSILs; n=166), or low-grade (LSILs); were positive for papillomavirus (HPV) with no evidence neoplasia (n=320); HPV negative but history high-risk sexual behavior (n=173). Compared who negative, HLA-DRB1*1301 associated decreased...
This work establishes a simple algorithm to recover an information vector from predefined database available every time. It is considered that the analyzed may be incomplete, damaged, or corrupted. inspired by Hopfield Neural Networks (HNN), which allows recursive reconstruction of through energy-minimizing optimal process, but this paper presents procedure generates results in single iteration. Images have been chosen for recovery application build information. In addition, filter added...
Automated cytology devices have utility in quality assurance applications, but the effectiveness of these primary screening is unknown.Enrollment smears obtained from 7323 women participating a population-based study sponsored by National Cancer Institute were screened manually Costa Rica and then evaluated independently U.S. with PAPNET system (Neuromedical Systems, Inc., Suffern, NY), semiautomated, neural network-based device. Smears abnormal images microscopically rescreened diagnosed...
Two trials of clinically approved human papillomavirus (HPV) vaccines, Females United to Unilaterally Reduce Endo/Ectocervical Disease (FUTURE I/II) and the Papilloma Trial Against Cancer in Young Adults (PATRICIA), reported a 22% difference vaccine efficacy (VE) against cervical intraepithelial neoplasia grade 2 or worse HPV-naïve subcohorts; however, serological testing methods HPV DNA criteria used define HPV-unexposed women differed between studies. We applied previously described...
A Bayesian approach has been applied to estimate the distribution of magnitudes, interevent distances and times earthquakes occurred in 2017 central Italy by using a small amount random samples drawn from same seismic parameters for 2014-2016. We method whole aftershock-depleted seismicity exponential normal model fit distributions parameters. Our findings indicate that fits much better than model. Furthermore, case, requires at least 2100 2300 with an estimation error less 0.01; while...
In this paper we implement neural network structure and Bayesian inference in order to improve performance black-box modeling for unknonw nonlinear systems. This kind of works batch form passing both the identification statistical training. Two systems two data sets seismic information from regions Italy Mexico are used evaluate methods. The results satisfied.
Bayesian inference shows that future event distribution not only depends on the past events (prior), but also relation between and (likelihood). However, classical methods do consider important contributions of recent data.In this paper, we propose a new based training method, which can be used as on-line for methods. We give exponential normal models. successfully apply method seismic parameter prediction using data central Italy from years 2014 to 2017. Comparisons disscuss section in work...
El arranque en frío de sistemas lubricados genera un gran desgaste debido a la falla película lubricante, lo cual produce contacto entre las superficies y origina partículas abrasivas que hacen del proceso acumulativo. Esto causa problemas por paradas inesperadas, cambio calendarios mantenimiento pérdida tiempo, dinero energía. Con el fin proteger piezas industriales durante cuando se presenta una considerada esta como transición lubricación mixta capa límite, realizó estudio comportamiento...
Bayesian statistical procedures are well known for estimating the probability distribution of occurrence an event. In this study, we applied method to estimate magnitudes earthquakes that occurred in central Italy two different time periods. Using Monte Carlo sampling method, recovered real magnitude using just a small amount available data, randomly selected by seismic catalogue.
Abstract In this paper we implement neural network structure and Bayesian inference in order to improve performance black-box modeling for unknonw nonlinear systems. This kind of works batch form passing both the identification statistical training. Two systems two data sets seismic information from regions Italy Mexico are used evaluate methods. The results satisfied.