Efecto de fibra de carbono en un concreto f'c= 280 kg/cm2 en un pavimento rígido, Trujillo, 2023

La presente investigación busca determinar cómo afecta el uso de fibras de carbono como refuerzo en las mezclas de un concreto diseñado a 280 kg/cm2 utilizado para pavimentos. La investigación es del tipo experimental y aplicada. Durante el desarrollo se elaboraron 36 probetas para compresión y 36 probetas para flexión, para probetas patrón y probetas con 1, 2, 3 % de fibra de carbono. Las muestras fueron ensayadas a 7, 14 y 28 días de curado. De los resultados obtenidos se pudo concluir que la fibra de carbono mejoro las propiedades de resistencia a la compresión y flexión del concreto 280 kg/cm2, específicamente en lo que respecta a flexión se logró un incremento de 35.8% que, a los 7 días de curado, 26.5% a los 14 días de curado y 26.3% a los 28 días. Con respecto a las pruebas de resistencia a la compresión los valores fueron 16.8% de incremento a los 7 días de curado, 6.99% a los 14 días de curado y 7.27% a los 28 días. Como conclusión final se determinó que el 2% de fibra de carbono fue la dosificación más adecuada ya que con dicha cantidad se obtuvieron los mejores resultados

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

4to. Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad. Memoria académica

Este volumen acoge la memoria académica de la Cuarta edición del Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad, CITIS 2017, desarrollado entre el 29 de noviembre y el 1 de diciembre de 2017 y organizado por la Universidad Politécnica Salesiana (UPS) en su sede de Guayaquil. El Congreso ofreció un espacio para la presentación, difusión e intercambio de importantes investigaciones nacionales e internacionales ante la comunidad universitaria que se dio cita en el encuentro. El uso de herramientas tecnológicas para la gestión de los trabajos de investigación como la plataforma Open Conference Systems y la web de presentación del Congreso http://citis.blog.ups.edu.ec/, hicieron de CITIS 2017 un verdadero referente entre los congresos que se desarrollaron en el país. La preocupación de nuestra Universidad, de presentar espacios que ayuden a generar nuevos y mejores cambios en la dimensión humana y social de nuestro entorno, hace que se persiga en cada edición del evento la presentación de trabajos con calidad creciente en cuanto a su producción científica. Quienes estuvimos al frente de la organización, dejamos plasmado en estas memorias académicas el intenso y prolífico trabajo de los días de realización del Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad al alcance de todos y todas

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

The global challenges of the long COVID-19 in adults and children

Institución Universitaria Visión de las Américas. Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Risaralda, Colombia / Universidad Científica del Sur. Faculty of Health Sciences. Lima, Peru / Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Colombia.Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Colombia.Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Colombia.Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Colombia.Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Colombia.Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Colombia.Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Colombia.Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Colombia.Universidad Científica del Sur. Faculty of Health Sciences. Lima, Peru.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Lebanese American University. Gilbert and Rose-Marie Chagoury School of Medicine. Beirut, Lebanon.Municipal Autonomous Government of Cochabamba. Municipal Secretary of Health. Direction of First Level. Cochabamba, Bolivia.Franz Tamayo University. National Research Coordination. La Paz, Bolivia.Universidad Continental. Research Unit. Huancayo, Peru.Universidad Nacional de Colombia. Department of Pediatrics. Bogotá, DC, Colombia / Fundación HOMI. Hospital Pediátrico La Misericordia. Division of Infectious Diseases. Bogotá, DC, Colombia / Fundación Hospital Infantil Universitario de San José. Bogotá, DC, Colombia.Hemera Unidad de Infectología IPS SAS. Bogota, Colombia.Hospital San Vicente Fundación. Rionegro, Antioquia, Colombia.Clinica Imbanaco Grupo Quironsalud. Cali, Colombia / Universidad Santiago de Cali. Cali, Colombia / Clinica de Occidente. Cali, Colombia / Clinica Sebastián de Belalcazar. Valle del Cauca, Colombia.University of Buenos Aires. Cátedra de Enfermedades Infecciosas. Buenos Aires, Argentina.Universidade Estadual Paulista Júlio de Mesquita Filho. Botucatu Medical School. Infectious Diseases Department. São Paulo, SP, Brazil / Brazilian Society for Infectious Diseases. São Paulo, SP, Brazil.Institute of Infectious Diseases Emilio Ribas. São Paulo, SP, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde e Ambiente. Instituto Evandro Chagas. Ananindeua, PA, Brasil / Universidade Federal do Pará. Faculdade de Medicina. Belém, PA, Brazil.University of Buenos Aires. Cátedra de Enfermedades Infecciosas. Buenos Aires, Argentina / Hospital de Enfermedades Infecciosas F. J. Muñiz. Buenos Aires, Argentina.University of Buenos Aires. Cátedra de Enfermedades Infecciosas. Buenos Aires, Argentina / Hospital de Enfermedades Infecciosas F. J. Muñiz. Buenos Aires, Argentina.Centro de Referencia de Salud Dr. Salvador Allende Gossens. Policlínico Neurología. Unidad Procedimientos. Santiago de Chile, Chile.Hospital Salvador Bienvenido Gautier. Santo Domingo, Dominican Republic.Universidad Central del Ecuador. Jefatura de Cátedra de Enfermedades Infecciosas. Quito, Ecuador.Universidad Autónoma de Santo Domingo. Santo Domingo, Dominican Republic.Hospital Roosevelt. Guatemala City, GuatemalaNational Autonomous University of Honduras. Institute for Research in Medical Sciences and Right to Health. Tegucigalpa, Honduras.National Clinical Coordinator COVID-19-WHO Studies. Colombia / Universidad Nacional de Colombia. Facultad de Medicina. Clinica Colsanitas. Clinica Universitaria Colombia. Colombia.Think Vaccines LLC. Houston, Texas, USA.Universidad Simón Bolívar. Centro de Investigación en Ciencias de la Vida. Barranquilla, Colombia / Grupo de Expertos Clínicos Secretaria de Salud de Barranquilla. Barranquilla, Colombia.Universidad San Ignacio de Loyola. Vicerrectorado de Investigación. Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud. Lima, Peru.Hospital Evangélico de Montevideo. Montevideo, Uruguay.Fundación Universitaria Autónoma de las Américas. Faculty of Medicine. Grupo de Investigación Biomedicina. Pereira, Colombia / University of California. School of Public Health. Division of Infectious Diseases and Vaccinology. Berkeley, CA, USA.Universidad Central de Venezuela. Faculty of Medicine. Caracas, Venezuela.Universidad Central de Venezuela. Faculty of Medicine. Caracas, Venezuela / Biomedical Research and Therapeutic Vaccines Institute. Ciudad Bolivar, Venezuela.University of Colorado Anschutz Medical Campus. School of Medicine. Division of Infectious Diseases. Aurora, CO, USA.Tribhuvan University Teaching Hospital. Institute of Medicine. Kathmandu, Nepal / Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth. Dr. D. Y. Patil Medical College. Department of Microbiology. Pune, Maharashtra, India / Dr. D.Y. Patil Dental College and Hospital. Department of Public Health Dentistry. Dr. D.Y. Patil Vidyapeeth, Maharashtra, India.Universidad Cesar Vallejo. Escuela de Medicina. Trujillo, Peru.Universidad de San Martín de Porres. Facultad de Medicina Humana. Chiclayo, Peru.Friedrich Schiller University Jena. Institute of Microbiology. Beutenbergstraße, Jena, Germany / Pontificia Universidad Católica del Ecuador. School of Medicine. Postgraduate Program in Infectious Diseases. Quito, Ecuador.Universidad Simón Bolivar. Faculty of Health Sciences. Barranquilla, Colombia.Johns Hopkins Aramco Healthcare. Specialty Internal Medicine and Quality Department. Dhahran, Saudi Arabia / Indiana University School of Medicine. Department of Medicine. Infectious Disease Division. Indianapolis, IN, USA / Johns Hopkins University School of Medicine. Department of Medicine. Infectious Disease Division. Baltimore, MD, USA.Johns Hopkins Aramco Healthcare. Molecular Diagnostic Laboratory. Dhahran, Saudi Arabia / Alfaisal University. College of Medicine. Riyadh, Saudi Arabia / The University of Haripur. Department of Public Health and Nutrition. Haripur, Pakistan.VM Medicalpark Samsun Hospital. Department of Infectious Diseases. Samsun, Turkey.University of Miami. Miller School of Medicine. Department of Medicine. Division of Infectious Diseases. Miami, FL, USA.Caja Costarricense de Seguro Social. Centro de Ciencias Médicas. Hospital Nacional de Niños Dr. Carlos Sáenz Herrera. Servicio de Infectología Pediátrica. San José, Costa Rica / Instituto de Investigación en Ciencias Médicas. San José, Costa Rica / Universidad de Ciencias Médicas. Facultad de Medicina. Cátedra de Pediatría. San José, Costa Rica

Effects of pre-operative isolation on postoperative pulmonary complications after elective surgery: an international prospective cohort study an international prospective cohort study

We aimed to determine the impact of pre-operative isolation on postoperative pulmonary complications after elective surgery during the global SARS-CoV-2 pandemic. We performed an international prospective cohort study including patients undergoing elective surgery in October 2020. Isolation was defined as the period before surgery during which patients did not leave their house or receive visitors from outside their household. The primary outcome was postoperative pulmonary complications, adjusted in multivariable models for measured confounders. Pre-defined sub-group analyses were performed for the primary outcome. A total of 96,454 patients from 114 countries were included and overall, 26,948 (27.9%) patients isolated before surgery. Postoperative pulmonary complications were recorded in 1947 (2.0%) patients of which 227 (11.7%) were associated with SARS-CoV-2 infection. Patients who isolated pre-operatively were older, had more respiratory comorbidities and were more commonly from areas of high SARS-CoV-2 incidence and high-income countries. Although the overall rates of postoperative pulmonary complications were similar in those that isolated and those that did not (2.1% vs 2.0%, respectively), isolation was associated with higher rates of postoperative pulmonary complications after adjustment (adjusted OR 1.20, 95%CI 1.05–1.36, p = 0.005). Sensitivity analyses revealed no further differences when patients were categorised by: pre-operative testing; use of COVID-19-free pathways; or community SARS-CoV-2 prevalence. The rate of postoperative pulmonary complications increased with periods of isolation longer than 3 days, with an OR (95%CI) at 4–7 days or ≥ 8 days of 1.25 (1.04–1.48), p = 0.015 and 1.31 (1.11–1.55), p = 0.001, respectively. Isolation before elective surgery might be associated with a small but clinically important increased risk of postoperative pulmonary complications. Longer periods of isolation showed no reduction in the risk of postoperative pulmonary complications. These findings have significant implications for global provision of elective surgical care. We aimed to determine the impact of pre-operative isolation on postoperative pulmonary complications after elective surgery during the global SARS-CoV-2 pandemic. We performed an international prospective cohort study including patients undergoing elective surgery in October 2020. Isolation was defined as the period before surgery during which patients did not leave their house or receive visitors from outside their household. The primary outcome was postoperative pulmonary complications, adjusted in multivariable models for measured confounders. Pre-defined sub-group analyses were performed for the primary outcome. A total of 96,454 patients from 114 countries were included and overall, 26,948 (27.9%) patients isolated before surgery. Postoperative pulmonary complications were recorded in 1947 (2.0%) patients of which 227 (11.7%) were associated with SARS-CoV-2 infection. Patients who isolated pre-operatively were older, had more respiratory comorbidities and were more commonly from areas of high SARS-CoV-2 incidence and high-income countries. Although the overall rates of postoperative pulmonary complications were similar in those that isolated and those that did not (2.1% vs 2.0%, respectively), isolation was associated with higher rates of postoperative pulmonary complications after adjustment (adjusted OR 1.20, 95%CI 1.05–1.36, p = 0.005). Sensitivity analyses revealed no further differences when patients were categorised by: pre-operative testing; use of COVID-19-free pathways; or community SARS-CoV-2 prevalence. The rate of postoperative pulmonary complications increased with periods of isolation longer than 3 days, with an OR (95%CI) at 4–7 days or ≥ 8 days of 1.25 (1.04–1.48), p = 0.015 and 1.31 (1.11–1.55), p = 0.001, respectively. Isolation before elective surgery might be associated with a small but clinically important increased risk of postoperative pulmonary complications. Longer periods of isolation showed no reduction in the risk of postoperative pulmonary complications. These findings have significant implications for global provision of elective surgical care

International Nosocomial Infection Control Consortiu (INICC) report, data summary of 43 countries for 2007-2012. Device-associated module

We report the results of an International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2007-December 2012 in 503 intensive care units (ICUs) in Latin America, Asia, Africa, and Europe. During the 6-year study using the Centers for Disease Control and Prevention's (CDC) U.S. National Healthcare Safety Network (NHSN) definitions for device-associated health care–associated infection (DA-HAI), we collected prospective data from 605,310 patients hospitalized in the INICC's ICUs for an aggregate of 3,338,396 days. Although device utilization in the INICC's ICUs was similar to that reported from ICUs in the U.S. in the CDC's NHSN, rates of device-associated nosocomial infection were higher in the ICUs of the INICC hospitals: the pooled rate of central line–associated bloodstream infection in the INICC's ICUs, 4.9 per 1,000 central line days, is nearly 5-fold higher than the 0.9 per 1,000 central line days reported from comparable U.S. ICUs. The overall rate of ventilator-associated pneumonia was also higher (16.8 vs 1.1 per 1,000 ventilator days) as was the rate of catheter-associated urinary tract infection (5.5 vs 1.3 per 1,000 catheter days). Frequencies of resistance of Pseudomonas isolates to amikacin (42.8% vs 10%) and imipenem (42.4% vs 26.1%) and Klebsiella pneumoniae isolates to ceftazidime (71.2% vs 28.8%) and imipenem (19.6% vs 12.8%) were also higher in the INICC's ICUs compared with the ICUs of the CDC's NHSN