Proyectos

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""][/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]The recently awarded Fondecyt Iniciación no. 11241126 (PI Jorge Romero) aims to determine the distribution and geometry of slope instability and its controlling factors (i.e., textural and compositional characteristics of rocks, their mass structure and discontinuities, and their mechanical rock properties) at the San José and Nevados de Chillán Volcanic Complexes. Specific objectives involve encompassing the production of thematic maps to represent the factors contributing to instability (e.g., magmatic intrusions, hydrothermal alteration areas, observed landslides, etc.) and defining and characterizing lithotechnical units based on field observations. In addition, it should determine the mechanical rock properties of natural samples based on laboratory tests that represent different scenarios. Lastly, these results should be incorporated into numerical models to represent unstable areas, failure planes, and conditions for failure.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]Tenacibaculosis is an emerging pathogen recently classified as high-risk disease. Since 2020 it is the second pathogen after Piscirickettsia salmonis producing higher mortalities in Atlantic salmon. Diverses species of Tenacibaculosis has been described in Chile, but Tenacibaculum dicentrarchi present the higher prevalence in culture centers. Before 2018, underreporting of Tenacibaculosis was possible due to the external signology is similar with Piscirickettsiosis. P. salmonis is the main pathogen in Chilean salmon farming, causing the principals mortalities because of diseases. In recent years, concerns related to Tenacibaculosis and Piscirickettsiosis coinfection have increased due to detrimental effects on the health status of fish in comparison to the single infection. Our proposal aim to characterize the immune response elicit by T. dicentrarchi in Atlantic salmon and describe how it is related to a coinfection by P. salmonis. First, we propose the description of the single infection of T. dicentrarchi due to the lack of information about the immune response it induces in Atlantic salmon. Then, we propose the characterization of the coinfection between T. dicentrarchi and P. salmonis and the possible weaker of the health status of the fish due to T. dicentrarchi may favors the development of the secondary infection. Therefore, we hypothesize that “Tenacibaculum dicentrarchi chronic infection triggers a type 2 immunity (Th2/M2) IL-4/13/ IL-10+ phenotype in head kidney and spleen of Atlantic salmon, increasing the secretion of anti-inflammatory cytokine IL-10, which favor and increase the severity of Piscirickettsia salmonis coinfection”. The general objective of the proposal is to demonstrate that a chronic infection of Tenacibaculum dicentrarchi causes in Atlantic salmon a status of head kidney and spleen immunosuppression presented an IL 4/13/ IL-10+ phenotype and increasing the mortality provoked by Piscirickettsia salmonis coinfection. To demonstrate the hypothesis, three specific objectives are proposed. First specific objective is “Characterize the immunological response of the single infection of T. dicentrarchi and coinfection with T. dicentrarchi and P. salmonis in Atlantic salmon under field conditions during outbreak seasons”. For this specific objective, we designed the Trial 1: Field sampling in open-sea cages during a single infection of T. dicentrarchi in winter and a coinfection with T. dicentrarchi and P. salmonis in spring. The analysis of the immune response will be through gene expression by RT-PCR and proteins by ELISA and western blotting. Then, the second objective propose is “Verify the type 2 immunity (Th2/M2) IL-4/13/ IL-10+ phenotype elicit by a T. dicentrarchi infection in Atlantic salmon under controlled conditions of laboratory”. To accomplish this goal we designed the Trial 2: A single infection challenge with T. dicentrarchi in Atlantic salmon in laboratory conditions in order to better characterize the immune response at a cellular level by flow cytometry and a molecular level by RNA-seq, RT-PCR and protein level. The final specific objective is “Characterize at the immunological level the development and severity of P. salmonis infection in Atlantic salmon infected by T. dicentrarchi under controlled conditions of laboratory”. To achieve this objective we designed the Trial 3: A coinfection with T. dicentrarchi and P. salmonis in Atlantic salmon in laboratory conditions with the respective single infection controls of each pathogen and posterior analysis by molecular and protein level. The expected results are: 1) The characterization of the immune response at functional level of the single infection of T. dicentrarchi and the coinfection of T. dicentrarchi and P. salmonis in Atlantic salmon in open-sea cages; 2) Verification that T. dicentrarchi triggers a type 2 immunity (Th2/M2) with an increase in the secretion of cytokine IL-10 demonstrated through transcript, protein, and cellular analysis in laboratory conditions that will let us a better resolution of the immune response characterization in comparison with the field conditions; 3) Characterization of the development of a more harmful P. salmonis infection due to the weaker health status on Atlantic salmon produced by of T. dicentrarchi, which means a higher bacterial load of P. salmonis and mortality rate in coinfected fish with T. dicentrarchi and P. salmonis. The results obtained in this research will provide animal health information to improve the productive management of salmonids and contribute to the knowledge of the health status of Atlantic salmon in the context of the two main pathogens affecting Chilean aquaculture nowadays.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]Basal FB210005[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]Listeria monocytogenes (Lm) is a foodborne pathogen that causes listeriosis, a severe invasive disease, with mortality rates as high as 30 %. This pathogen has caused several foodborne outbreaks and product recalls worldwide, with significant economic consequences for the food industry. Lm can resist many stresses used in food-processing environments (FPE) to control bacterial growth. Biofilm formation is another strategy that allows Lm to persist in FPE and contaminate foods. In natural environments, biofilms often consist of mixedspecies communities with dynamic interactions between different species. The structure and persistence of these biofilms are determined by community compositions, cooperative development, genomic background, environment-responsive gene expression, and the material on which the biofilm forms, among others. The design of materials with anti-bacterial and anti-biofilm properties is an emerging strategy to control the presence of foodborne pathogens in the FPE. Smart surfaces with on-demand antimicrobial protection through “physical” activation are ideal for this application. For instance, conductive polymers and piezocatalytic materials generate reactive oxygen species (ROS) by photothermal or mechanical stimulus, respectively. To further advance in the design of effective ROS-releasing antibiofilm materials, it is essential to understand the microbial interactions occurring in biofilms and how molecular mechanisms are regulated by the pathogen under ROS-based stress conditions. In this study, we hypothesize that “The efficacy of ROSreleasing antibiofilm materials can be modulated based on knowledge of the interactions between Lm isolates and other species on biofilms formed under FPE simulated conditions and by identifying specific molecular mechanisms regulated by Lm isolates that persist under these environmental conditions.” This research will take an interdisciplinary approach, integrating knowledge from different fields (microbiology, molecular biology, chemistry, and materials science) to better understand the mechanisms involved in Lm biofilm formation under FPE conditions and use this information to design efficient materials to control bacterial contamination. Our main aim is “to investigate the interplay between Lm and other bacteria in ROS-releasing antibiofilm materials under FPE conditions and identify the molecular mechanisms that Lm activates.” Specific aim-1 To define the best condition for tailor-made ROS generation in conductive polymers and polymer/ZnO composites able to control Lm mixed biofilms. We will design and assess the ROS generation capabilities of conductive polypyrrole (PPy) and piezocatalytic polymer/ZnO materials. We currently have a collection of 300 Lm strains isolated from various sources. Approximately 50% of these strains have had their whole genomes sequenced. The effect of ROS-releasing materials on cell adhesion and biofilm formation will be tested for Lm strains in the presence of other bacterial species isolated from FPE (mixed biofilm) at 8ºC. We will identify the best technical conditions of the ROS-releasing material to control or reduce Lm biofilm formation. In addition, we will know if the Lm strains have different levels of tolerance to ROS under the conditions that we will test. Specific aim-2: To identify Lm genetic features associated with tolerance on ROS-releasing materials. Additional Lm strains from our collection will be sequenced. We will also have access to Lm strains isolated from listeriosis outbreaks with their genome sequences. We will analyze the genomes of Lm strains exhibiting varying levels of biofilm tolerance on ROS-releasing materials under FPE conditions. We will evaluate the association between genomic elements (virulence genes, resistance determinants, and other genomic variations) and the tolerance levels of the ROS-releasing materials to identify new genomic elements associated with biofilm formation. Specific aim-3: To identify molecular programs and ecological roles activated by Lm in response to ROS-releasing material under FPE conditions One material with adjusted photothermal and mechanical ROS generation will be selected to evaluate the global transcriptional response of Lm isolates able to tolerate ROS-releasing materials. We will evaluate this response considering FPE conditions: low temperature and mixed biofilms. In this way, we will identify if some Lm isolates activate specific molecular mechanisms that are associated with the persistence/or higher tolerance to ROS-releasing materials under FPE conditions. Expected outcomes: This research will contribute to advancing the antibiofilm material design, understanding Lm genetic characteristics, and identifying molecular mechanisms activated under conditions used in food processing areas, thus promoting improved food safety and industry practices.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]This proposal ultimately seeks to provide information to guide conservation and management policies for Myostemma species, and a model to assess the vulnerability to GCC in other organisms of the highly endemic and threatened CWRVF biodiversity hotspot. This project will generate the first complete genome sequence for Amaryllidoideae, which will have a global impact by enabling genome-based evolutionary, breeding, biochemical, and pharmaceutical research.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]La colaboración entre nuestros grupos busca formar una alianza para fortalecer la investigación científica y tecnológica y la formación de capital humano calificado en Genómica, Biología de Sistemas y Biotecnología, para mejorar la productividad de especies agrícolas y acuícolas en un escenario de cambio climático, vinculándonos con actores y necesidades del sector productivo. Con esta propuesta, buscamos crear un polo nacional de investigadores capacitados en las últimas herramientas y tecnologías que siente la bases para la postulación conjunta a proyectos asociativos y/o de investigación aplicada e interdisciplinaria en el corto plazo, la producción de artículos científicos y propiedad intelectual y la formación de excelencia de las futuras generaciones.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]Aplicación de técnicas variacionales y de Ecuaciones Diferenciales Parciales en grafos para problemas de agrupación de datos y para segmentación de imágenes[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]Estudio e implementación de métodos híbridos para la resolución computacional de EDP aplicadas a Ciencia de Datos.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]

[vc_section el_class="container mx-auto align-items-center circle--pattern" css=".vc_custom_1648956589196{padding-top: 3rem !important;}"][vc_row el_class="pb-5"][vc_column][vc_wp_custommenu nav_menu="6"][uoh_breadcrumb_component automatic_breadcrumb="true"][uoh_title_component title_dropdown="big" title_decorator="true"]{{title}}[/uoh_title_component][vc_column_text css=""]La literatura muestra que diferencias en las habilidades matemáticas tempranas son fuertes predictores de desempeño matemático posterior e incluso afectan la selección de carreras universitarias. Además, aquellos niños que ingresan a la etapa escolar con habilidades matemáticas deficientes, mantienen bajos desempeños académicos durante toda su trayectoria escolar. De hecho, las condiciones iniciales de aprendizaje matemático determinan las trayectorias futuras de aprendizaje. En este contexto, un proyecto FONDEF (2019 - 2021) de la Universidad de O’Higgins nos permitió desarrollar el Test de Pensamiento Matemático (TPM, ver https://jugarmate.org/tpm/) para evaluar aprendizajes matemáticos en niveles de pre-kínder, kínder y 1ro básico. El TPM es un test basado en siete juegos digitales cuya aplicación en grupos grandes de estudiantes es rápida y sencilla por lo que permite recolectar una gran cantidad de datos de aprendizaje con poco esfuerzo. En congruencia con avances recientes en el desarrollo de habilidades matemáticas tempranas, este instrumento logra capturar dos dimensiones del pensamiento matemático infantil que son el pensamiento numérico y el razonamiento espacial. Estos desarrollos previos presentan una gran oportunidad para investigar las condiciones iniciales de los aprendizajes matemáticos y las posibles trayectorias de aprendizajes posteriores. La hipótesis que sustenta este proyecto es que existen perfiles de pensamiento matemático temprano que son capturados en los puntajes TPM y que las primeras trayectorias de aprendizaje se pueden modelar como un tránsito por estos perfiles. En este contexto, el presente proyecto propone la aplicación de algoritmos de inteligencia artificial para el procesamiento y visualización de datos TPM para primero identificar distintos perfiles de pensamiento matemático temprano para luego encontrar patrones de tránsito entre éstos perfiles y así identificar trayectorias iniciales de aprendizaje matemático. La metodología propone analizar conjuntos de datos TPM obtenidos en una muestra de más de 700 estudiantes de prekinder, kinder y 1ro básico aplicando métodos de reducción de dimensionalidad (p.ej., análisis de componentes principales) y algoritmos de agrupamiento (p.ej., clustering). Los resultados de los algoritmos de agrupamiento se interpretan como perfiles de pensamiento matemático, mientras que análisis de evolución de perfiles se interpretan como las trayectorias iniciales de aprendizaje de las matemáticas tempranas. Se espera que los resultados de esta investigación se utilicen para el diseño de intervenciones remediales personalizadas que permitan potenciar el desarrollo de habilidades matemáticas tempranas.[/vc_column_text][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649209804184{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5"][vc_row el_class="container mx-auto align-items-center p-md-0 pt-5"][vc_column el_class="p-0"][/vc_column][/vc_row][/vc_section][vc_section css=".vc_custom_1649210787516{background-color: #f6faff !important;}" el_class="p-md-0 pt-md-5 pb-md-5"][vc_row el_class="container mx-auto align-items-center"][vc_column][/vc_column][/vc_row][/vc_section]