Biomasa aérea y contenido de carbono del saladillo (Caraipa llanorum) en Puerto Carreño, Vichada, Colombia

We determined the volume, biomass and carbon content per hectare for aerial forest Saladillo (Caraipa llanorum) at the Canapro Forestry farm (Puerto Carreño, Vichada), by destructively sampling 30 individuals. In order to fit a model to estimate variables, it was necessary to determine the fresh weight of the different components of each tree, and the volume of each stem. Subsamples were taken to determine the biomass of the stem, branches and leaves of each tree in order to obtain the density and carbon content of the wood. Forest inventory reported a density of 342 trees per hectare of C. llanorum with dbh ≥ 10 cm. This represents a volume of 37,4 m3 corresponding to 26,3 t·ha-1 of carbon. The wood density was 0,65 kg·m3-1and the carbon content 52,96 %. To estimate the biomass of the species a best fit equation was used BT=e–9.47559+2.56189*ln(dap) with a biomass expansion factor of 1,52 reported for estimating the carbon balanced equation, C= e–10.2355 + 2.59771*ln(dbh).Se determinó el volumen, la biomasa y el contenido de carbono aéreo por hectárea para los bosques de Saladillo (Caraipa llanorum) en la finca CANAPRO Forestal, Municipio de Puerto Carreño, Departamento del Vichada; para ello se realizó un muestreo destructivo de 30 individuos para ajustar un modelo con el fin de estimar estas variables, para esto fue necesario  determinar el peso fresco de los diferentes compartimentos de cada árbol, así como el volumen de cada fuste; luego se obtuvieron submuestras de la biomasa del fuste, ramas y hojas por árbol para llevar al laboratorio y obtener la densidad y el contenido de carbono de la madera. El inventario forestal reportó una densidad de 342 árboles por hectárea de C. llanorum con dap ≥10 cm, que representan un volumen de 37.4 m3/ha correspondientes a 26.3 ton/ha de carbono; la densidad reportada para la madera fue de 0.65 kg/m3 y su contenido de carbono de 52.96 %. Para estimar la biomasa aérea de la especie, la ecuación que mejor ajuste presentó fue    y el factor de expansión de biomasa reportado de 1,52, para estimar el carbono la ecuación ajustada fue  

Entorno virtual para la gestión de la pre-producción de sistemas multimedia

Este proyecto busca generar una herramienta colaborativa, que gracias a los distintos métodos, guías e instrucciones permitan la correcta creación de un sistema multimedia en un equipo de trabajo que se encuentre separado geográficamente. Para el desarrollo de este proyecto se trabajó bajo la propuesta de metodología del profesor Carlos Pelaéz y bajo la tutela de implementación del profesor Andrés Solano durante el desarrollo de las 2 prácticas, fragmentadas en diferentes metas de desarrollo para el cumplimiento del alcance teórico. Se consideró varios grupos de muestra de posibles usuarios finales, una muestra 2 profesores de la universidad Autónoma de Occidente para las pruebas de viabilidad del sistema, y un total de 40 estudiantes que ya hubieran cursado la materia de diseño multimedia, con el objetivo de determinar la viabilidad del seguimiento de un proyecto, su progreso y el correcto desarrollo con el uso de la metodología propuesta del profesor Carlos Pelaéz. Posteriormente se hizo el desarrollo prototipo del sistema propuesto de manera que un principio simulará el comportamiento básico para poder determinar un criterio de evaluación pertinente con respecto al trabajo realizado, y finalmente a través de la retroalimentación se hizo la construcción del sistema mínimo viable que pudiera poner el funcionamiento la mayoría de las características básicas que permitan la creación, desarrollo y seguimiento de un proyecto donde hubieran diferentes integrantes.Pasantía Institucional (Ingeniero Multimedia)-- Universidad Autónoma de Occidente, 2021PregradoIngeniería(a) en Multimedi

Aerial biomass and carbon content of Saladillo (Caraipa llanorum) in Puerto Carreño, Vichada, Colombia

We determined the volume, biomass and carbon content per hectare for aerial forest Saladillo (Caraipa llanorum) at the Canapro Forestry farm (Puerto Carreño, Vichada), by destructively sampling 30 individuals. In order to fit a model to estimate variables, it was necessary to determine the fresh weight of the different components of each tree, and the volume of each stem. Subsamples were taken to determine the biomass of the stem, branches and leaves of each tree in order to obtain the density and carbon content of the wood. Forest inventory reported a density of 342 trees per hectare of C. llanorum with dbh ≥ 10 cm. This represents a volume of 37,4 m3 corresponding to 26,3 t·ha-1 of carbon. The wood density was 0,65 kg·m3-1and the carbon content 52,96 %. To estimate the biomass of the species a best fit equation was used BT=e–9.47559+2.56189*ln(dap) with a biomass expansion factor of 1,52 reported for estimating the carbon balanced equation, C= e–10.2355 + 2.59771*ln(dbh)

Aerial biomass and carbon content of Saladillo (Caraipa llanorum) in Puerto Carreño, Vichada, Colombia

Se determinó el volumen, la biomasa y el contenido de carbono aéreo por hectárea para los bosques de Saladillo (Caraipa llanorum) en la finca CANAPRO Forestal, Municipio de Puerto Carreño, Departamento del Vichada; para ello se realizó un muestreo destructivo de 30 individuos para ajustar un modelo con el fin de estimar estas variables, para esto fue necesario  determinar el peso fresco de los diferentes compartimentos de cada árbol, así como el volumen de cada fuste; luego se obtuvieron submuestras de la biomasa del fuste, ramas y hojas por árbol para llevar al laboratorio y obtener la densidad y el contenido de carbono de la madera. El inventario forestal reportó una densidad de 342 árboles por hectárea de C. llanorum con dap ≥10 cm, que representan un volumen de 37.4 m3/ha correspondientes a 26.3 ton/ha de carbono; la densidad reportada para la madera fue de 0.65 kg/m3 y su contenido de carbono de 52.96 %. Para estimar la biomasa aérea de la especie, la ecuación que mejor ajuste presentó fue    y el factor de expansión de biomasa reportado de 1,52, para estimar el carbono la ecuación ajustada fue   .We determined the volume, biomass and carbon content per hectare for aerial forest Saladillo (Caraipa llanorum) at the Canapro Forestry farm (Puerto Carreño, Vichada), by destructively sampling 30 individuals. In order to fit a model to estimate variables, it was necessary to determine the fresh weight of the different components of each tree, and the volume of each stem. Subsamples were taken to determine the biomass of the stem, branches and leaves of each tree in order to obtain the density and carbon content of the wood. Forest inventory reported a density of 342 trees per hectare of C. llanorum with dbh ≥ 10 cm. This represents a volume of 37,4 m3 corresponding to 26,3 t·ha-1 of carbon. The wood density was 0,65 kg·m3-1and the carbon content 52,96 %. To estimate the biomass of the species a best fit equation was used BT=e–9.47559+2.56189*ln(dap) with a biomass expansion factor of 1,52 reported for estimating the carbon balanced equation, C= e–10.2355 + 2.59771*ln(dbh)

Thrombotic and hemorrhagic complications of COVID-19 in adults hospitalized in high-income countries compared with those in adults hospitalized in low- and middle-income countries in an international registry

Background: COVID-19 has been associated with a broad range of thromboembolic, ischemic, and hemorrhagic complications (coagulopathy complications). Most studies have focused on patients with severe disease from high-income countries (HICs). Objectives: The main aims were to compare the frequency of coagulopathy complications in developing countries (low- and middle-income countries [LMICs]) with those in HICs, delineate the frequency across a range of treatment levels, and determine associations with in-hospital mortality. Methods: Adult patients enrolled in an observational, multinational registry, the International Severe Acute Respiratory and Emerging Infections COVID-19 study, between January 1, 2020, and September 15, 2021, met inclusion criteria, including admission to a hospital for laboratory-confirmed, acute COVID-19 and data on complications and survival. The advanced-treatment cohort received care, such as admission to the intensive care unit, mechanical ventilation, or inotropes or vasopressors; the basic-treatment cohort did not receive any of these interventions. Results: The study population included 495,682 patients from 52 countries, with 63% from LMICs and 85% in the basic treatment cohort. The frequency of coagulopathy complications was higher in HICs (0.76%-3.4%) than in LMICs (0.09%-1.22%). Complications were more frequent in the advanced-treatment cohort than in the basic-treatment cohort. Coagulopathy complications were associated with increased in-hospital mortality (odds ratio, 1.58; 95% CI, 1.52-1.64). The increased mortality associated with these complications was higher in LMICs (58.5%) than in HICs (35.4%). After controlling for coagulopathy complications, treatment intensity, and multiple other factors, the mortality was higher among patients in LMICs than among patients in HICs (odds ratio, 1.45; 95% CI, 1.39-1.51). Conclusion: In a large, international registry of patients hospitalized for COVID-19, coagulopathy complications were more frequent in HICs than in LMICs (developing countries). Increased mortality associated with coagulopathy complications was of a greater magnitude among patients in LMICs. Additional research is needed regarding timely diagnosis of and intervention for coagulation derangements associated with COVID-19, particularly for limited-resource settings

Association of Country Income Level With the Characteristics and Outcomes of Critically Ill Patients Hospitalized With Acute Kidney Injury and COVID-19

Introduction: Acute kidney injury (AKI) has been identified as one of the most common and significant problems in hospitalized patients with COVID-19. However, studies examining the relationship between COVID-19 and AKI in low- and low-middle income countries (LLMIC) are lacking. Given that AKI is known to carry a higher mortality rate in these countries, it is important to understand differences in this population. Methods: This prospective, observational study examines the AKI incidence and characteristics of 32,210 patients with COVID-19 from 49 countries across all income levels who were admitted to an intensive care unit during their hospital stay. Results: Among patients with COVID-19 admitted to the intensive care unit, AKI incidence was highest in patients in LLMIC, followed by patients in upper-middle income countries (UMIC) and high-income countries (HIC) (53%, 38%, and 30%, respectively), whereas dialysis rates were lowest among patients with AKI from LLMIC and highest among those from HIC (27% vs. 45%). Patients with AKI in LLMIC had the largest proportion of community-acquired AKI (CA-AKI) and highest rate of in-hospital death (79% vs. 54% in HIC and 66% in UMIC). The association between AKI, being from LLMIC and in-hospital death persisted even after adjusting for disease severity. Conclusions: AKI is a particularly devastating complication of COVID-19 among patients from poorer nations where the gaps in accessibility and quality of healthcare delivery have a major impact on patient outcomes