Programa CADMA para mejorar las competencias investigativas de los estudiantes de una institución educativa pública de Lima, 2023

La investigación titulada Programa CADMA para mejorar las competencias investigativas de los estudiantes de una institución educativa pública de Lima, 2023, tuvo el objetivo de establecer la influencia del programa CADMA para mejorar las competencias investigativas de los estudiantes de una institución educativa pública de Lima, 2023. El enfoque fue cuantitativo, de diseño cuasi experimental y de tipo aplicada con población total de 120 estudiantes y mediante muestreo no probabilístico se obtuvo la muestra fue de 61 estudiantes, correspondientes a dos aulas, una de ellas el grupo control 31 y la otra el grupo experimental de 30 estudiantes. Se realizó la validez y confiabilidad de la variable competencias investigativas en estudiantes, con KR 20 de 0.803 interpretándose como fuerte confiabilidad. El estudio concluyó que el programa CADMA influye significativamente en las competencias investigativas de los estudiantes de una institución educativa pública de Lima, 2023, debido a los resultados estadísticos obtenidos U de Mann- Whitney de 102,000 y p = 0.000 siendo p< 0.05

Competencias investigativas en la comunicación digital en tiempo de pandemia

Las competencias investigativas posibilitan el manejo de diversas acciones prácticas y cognitivas, como la comunicación digital. El objetivo fue establecer la incidencia de las competencias investigativas en la comunicación digital en docentes en tiempo de pandemia. El enfoque fue cuantitativo, el procedimiento metodológico fue hipotético deductivo; asumiendo el tipo de estudio fue básico y diseño no experimental, correlacional causal. El muestreo de tipo probabilístico, con una población finita de 162 y el tamaño de la muestra 114 docentes. Se realizó la validez de juicio de expertos y la confiabilidad de la Alfa de Cronbach, la variable competencias Investigativas alcanzó 0,920 y comunicación digital 0,870. Concluyó que existe incidencia de las competencias investigativas en la comunicación digital en tiempos de pandemia, debido a Pseudo R2 de Nagelkerke fue de 0.742, estableciéndose que las competencias investigativas inciden en un 74.2% en la comunicación digital de los docentes en tiempo de pandemia

Probing the Effects of the Well-mixed Assumption on Viral Infection Dynamics

Viral kinetics have been extensively studied in the past through the use of spatially well-mixed ordinary differential equations describing the time evolution of the diseased state. However, emerging spatial structures such as localized populations of dead cells might adversely affect the spread of infection, similar to the manner in which a counter-fire can stop a forest fire from spreading. In a previous publication (Beauchemin et al., 2005), a simple 2-D cellular automaton model was introduced and shown to be accurate enough to model an uncomplicated infection with influenza A. Here, this model is used to investigate the effects of relaxing the well-mixed assumption. Particularly, the effects of the initial distribution of infected cells, the regeneration rule for dead epithelial cells, and the proliferation rule for immune cells are explored and shown to have an important impact on the development and outcome of the viral infection in our model.Comment: LaTeX, 12 pages, 22 EPS figures, uses document class REVTeX 4, and packages float, graphics, amsmath, and SIunit

Dignidad, Poder, Resistencia // Dignity, Power, Resistance

First To Go Abroad is a partnership between the Loyola Marymount University First To Go Program, LMU Study Abroad, and the Council on International Educational Exchange (CIEE), which seeks to increase study abroad opportunities for first-generation college students. In May 2017, fifteen first-gen students and two first-gen faculty mentors traveled together to Santiago, Dominican Republic, where they spent ten days exploring the country and learning about the local cultures, customs, and histories of the people who call the DR home. Travel is a privilege not all students have the same access to; for some students, this trip was the first time out of the United States. Like the first-generation college experience, the experience of international travel is marked by daily encounters with new spaces, people, and cultural practices that can be at once overwhelming and inspiring. This was a topic of exploration throughout the trip and the subject of the pages contained in this volume. The narratives published here are the product of a cross-institutional writing workshop, where students from LMU and the Pontificia Universidad Católica Madre y Maestra worked together to draft essays documenting their encounters with change that have pushed boundaries, broken down borders, and generated personal growth. We hope our readers around the world will appreciate these works, which showcase the transformative power of creative and collaborative global encounters

Systems medicine and infection

By using a systems based approach, mathematical and computational techniques can be used to develop models that describe the important mechanisms involved in infectious diseases. An iterative approach to model development allows new discoveries to continually improve the model, and ultimately increase the accuracy of predictions. SIR models are used to describe epi demics, predicting the extent and spread of disease. Genome-wide genotyping and sequencing technologies can be used to identify the biological mechanisms behind diseases. These tools help to build strategies for disease prevention and treatment, an example being the recent outbreak of Ebola in West Africa where these techniques were deployed. HIV is a complex disease where much is still to be learnt about the virus and the best effective treatment. With basic mathematical modelling techniques, significant discoveries have been made over the last 20 years. With recent technological advances, the computation al resources now available and interdisciplinary cooperation, further breakthroughs are inevitable. In TB, modelling has traditionally been empirical in nature, with clinical data providing the fuel for this top-down approach. Recently, projects have begun to use data derived from laboratory experiments and clinical trials to create mathematical models that describe the mechanisms responsible for the disease. A systems medicine approach to infection modelling helps identify important biological questions that then direct future experiments , the results of which improve the model in an iterative cycle . This means that data from several model systems can be integrated and synthesised to explore complex biological systems .Postprin

Bacterial Diversity and the Geochemical Landscape in the Southwestern Gulf of Mexico

Marine sediments are an example of one of the most complex microbial habitats. These bacterial communities play an important role in several biogeochemical cycles in the marine ecosystem. In particular, the Gulf of Mexico has a ubiquitous concentration of hydrocarbons in its sediments, representing a very interesting niche to explore. Additionally, the Mexican government has opened its oil industry, offering several exploration and production blocks in shallow and deep water in the southwestern Gulf of Mexico (swGoM), from which there are no public results of conducted studies. Given the higher risk of large-scale oil spills, the design of contingency plans and mitigation activities before oil exploitation is of growing concern. Therefore, a bacterial taxonomic baseline profile is crucial to understanding the impact of any eventual oil spill. Here, we show a genus level taxonomic profile to elucidate the bacterial baseline, pointing out richness and relative abundance, as well as relationships with 79 abiotic parameters, in an area encompassing ∼150,000 km2, including a region where the exploitation of new oil wells has already been authorized. Our results describe for the first time the bacterial landscape of the swGoM, establishing a bacterial baseline “core” of 450 genera for marine sediments in this region. We can also differentiate bacterial populations from shallow and deep zones of the swGoM based on their community structure. Shallow sediments have been chronically exposed to aromatic hydrocarbons, unlike deep zones. Our results reveal that the bacterial community structure is particularly enriched with hydrocarbon-degrading bacteria in the shallow zone, where a greater aromatic hydrocarbon concentration was determined. Differences in the bacterial communities in the swGoM were also observed through a comprehensive comparative analysis relative to various marine sediment sequencing projects, including sampled sites from the Deep Water Horizon oil spill. This study in the swGoM provides clues to the bacterial population adaptation to the ubiquitous presence of hydrocarbons and reveals organisms such as Thioprofundum bacteria with potential applications in ecological surveillance. This resource will allow us to differentiate between natural conditions and alterations generated by oil extraction activities, which, in turn, enables us to assess the environmental impact of such activities

Developing capacity in health informatics in a resource poor setting: lessons from Peru

The public sectors of developing countries require strengthened capacity in health informatics. In Peru, where formal university graduate degrees in biomedical and health informatics were lacking until recently, the AMAUTA Global Informatics Research and Training Program has provided research and training for health professionals in the region since 1999. The Fogarty International Center supports the program as a collaborative partnership between Universidad Peruana Cayetano Heredia in Peru and the University of Washington in the United States of America. The program aims to train core professionals in health informatics and to strengthen the health information resource capabilities and accessibility in Peru. The program has achieved considerable success in the development and institutionalization of informatics research and training programs in Peru. Projects supported by this program are leading to the development of sustainable training opportunities for informatics and eight of ten Peruvian fellows trained at the University of Washington are now developing informatics programs and an information infrastructure in Peru. In 2007, Universidad Peruana Cayetano Heredia started offering the first graduate diploma program in biomedical informatics in Peru

Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle

Funding: This work was supported by the Medical Research Council [grant number MR/P014704/1] and the PreDiCT-TB consortium (IMI Joint undertaking grant agreement number 115337, resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007-2013) and EF-PIA companies’ in kind contribution.Progress in shortening the duration of tuberculosis (TB) treatment is hampered by the lack of a predictive model that accurately reflects the diverse environment within the lung. This is important as TB has been shown to produce distinct localisations to different areas of the lung during different disease stages, with the environmental heterogeneity within the lung of factors such as air ventilation, blood perfusion and oxygen tension believed to contribute to the apical localisation witnessed during the post-primary form of the disease. Building upon our previous model of environmental lung heterogeneity, we present a networked metapopulation model that simulates TB across the whole lung, incorporating these notions of environmental heterogeneity across the whole TB life-cycle to show how different stages of the disease are influenced by different environmental and immunological factors. The alveolar tissue in the lung is divided into distinct patches, with each patch representing a portion of the total tissue and containing environmental attributes that reflect the internal conditions at that location. We include populations of bacteria and immune cells in various states, and events are included which determine how the members of the model interact with each other and the environment. By allowing some of these events to be dependent on environmental attributes, we create a set of heterogeneous dynamics, whereby the location of the tissue within the lung determines the disease pathological events that occur there. Our results show that the environmental heterogeneity within the lung is a plausible driving force behind the apical localisation during post-primary disease. After initial infection, bacterial levels will grow in the initial infection location at the base of the lung until an adaptive immune response is initiated. During this period, bacteria are able to disseminate and create new lesions throughout the lung. During the latent stage, the lesions that are situated towards the apex are the largest in size, and once a post-primary immune-suppressing event occurs, it is the uppermost lesions that reach the highest levels of bacterial proliferation. Our sensitivity analysis also shows that it is the differential in blood perfusion, causing reduced immune activity towards the apex, which has the biggest influence of disease outputs.Publisher PDFPeer reviewe

Modeling the clonal heterogeneity of stem cells

Recent experimental studies suggest that tissue stem cell pools are composed of functionally diverse clones. Metapopulation models in ecology concentrate on collections of populations and their role in stabilizing coexistence and maintaining selected genetic or epigenetic variation. Such models are characterized by expansion and extinction of spatially distributed populations. We develop a mathematical framework derived from the multispecies metapopulation model of Tilman et al (1994) to study the dynamics of heterogeneous stem cell metapopulations. In addition to normal stem cells, the model can be applied to cancer cell populations and their response to treatment. In our model disturbances may lead to expansion or contraction of cells with distinct properties, reflecting proliferation, apoptosis, and clonal competition. We first present closed-form expressions for the basic model which defines clonal dynamics in the presence of exogenous global disturbances. We then extend the model to include disturbances which are periodic and which may affect clones differently. Within the model framework, we propose a method to devise an optimal strategy of treatments to regulate expansion, contraction, or mutual maintenance of cells with specific properties