Robot lego para simular el desplazamiento tipo motocicleta

The research group in Mobile Robotics Autonomous "ROMA" from technological faculty of the District University Francisco José de Caldas (Colombia) presents in this article the development of a mobile robot with two wheels - with architecture motorcycle-type, simulating displacement and setting the position by steering by a handle, to control balance. For It, was developed a robt using the tools of LEGO® NXT 2.0 and the kit MindStorms and Labview® programming environment, not only for control but also to visualize the behavior of the different variables. With the study, it presents the main factors influencing the handling of a motorcycle: balance, direction and speed; and, thanks to the data delivered by the sensors, present an analysis was performed in order to have exact data of the variations occurring when maneuvering a two-wheeled vehicle.El grupo de investigación en Robótica Móvil Autónoma “ROMA” de la Facultad Tecnológica de la Universidad Distrital Francisco José de Caldas (Colombia), presenta en este documento los avances de la investigación del desarrollo de un robot móvil de dos ruedas (con una arquitectura tipo motocicleta) simulando su desplazamiento, de manera que el control de equilibrio se realiza estableciendo la posición a través de la dirección asistida por un manubrio. Para ello, se usan las herramientas del kit LEGO® MindStorms NXT 2.0 y el entorno de programación Labview®, no solo para el control sino también para visualizar el comportamiento de las diferentes variables. Con el estudio del robot se presentan los principales factores que influyen en el manejo de una motocicleta, como son: equilibrio, dirección y velocidad; y, gracias a los datos entregados por los sensores, se exhibe un análisis para poder tener datos lo más exactos posibles de las variaciones que intervienen a la hora de maniobrar un vehículo de dos ruedas

The family as a determinant of stunting in children living in conditions of extreme poverty: a case-control study

BACKGROUND: Malnutrition in children can be a consequence of unfavourable socioeconomic conditions. However, some families maintain adequate nutritional status in their children despite living in poverty. The aim of this study was to ascertain whether family-related factors are determinants of stunting in young Mexican children living in extreme poverty, and whether these factors differ between rural or urban contexts. METHODS: A case-control study was conducted in one rural and one urban extreme poverty level areas in Mexico. Cases comprised stunted children aged between 6 and 23 months. Controls were well-nourished children. Independent variables were defined in five dimensions: family characteristics; family income; household allocation of resources and family organisation; social networks; and child health care. Information was collected from 108 cases and 139 controls in the rural area and from 198 cases and 211 controls in the urban area. Statistical analysis was carried out separately for each area; unconditional multiple logistic regression analyses were performed to obtain the best explanatory model for stunting. RESULTS: In the rural area, a greater risk of stunting was associated with father's occupation as farmer and the presence of family networks for child care. The greatest protective effect was found in children cared for exclusively by their mothers. In the urban area, risk factors for stunting were father with unstable job, presence of small social networks, low rate of attendance to the Well Child Program activities, breast-feeding longer than six months, and two variables within the family characteristics dimension (longer duration of parents' union and migration from rural to urban area). CONCLUSIONS: This study suggests the influence of the family on the nutritional status of children under two years of age living in extreme poverty areas. Factors associated with stunting were different in rural and urban communities. Therefore, developing and implementing health programs to tackle malnutrition should take into account such differences that are consequence of the social, economic, and cultural contexts in which the family lives

Robot Lego para simular el desplazamiento tipo motocicleta

The research group in Mobile Robotics Autonomous "ROMA" from technological faculty of the District University Francisco José de Caldas (Colombia) presents in this article the development of a mobile robot with two wheels - with architecture motorcycle-type, simulating displacement and setting the position by steering by a handle, to control balance. For It, was developed a robt using the tools of LEGO® NXT 2.0 and the kit MindStorms and Labview® programming environment, not only for control but also to visualize the behavior of the different variables. With the study, it presents the main factors influencing the handling of a motorcycle: balance, direction and speed; and, thanks to the data delivered by the sensors, present an analysis was performed in order to have exact data of the variations occurring when maneuvering a two-wheeled vehicle.El grupo de investigación en Robótica Móvil Autónoma “ROMA” de la Facultad Tecnológica de la Universidad Distrital Francisco José de Caldas (Colombia), presenta en este documento los avances de la investigación del desarrollo de un robot móvil de dos ruedas (con una arquitectura tipo motocicleta) simulando su desplazamiento, de manera que el control de equilibrio se realiza estableciendo la posición a través de la dirección asistida por un manubrio. Para ello, se usan las herramientas del kit LEGO® MindStorms NXT 2.0 y el entorno de programación Labview®, no solo para el control sino también para visualizar el comportamiento de las diferentes variables. Con el estudio del robot se presentan los principales factores que influyen en el manejo de una motocicleta, como son: equilibrio, dirección y velocidad; y, gracias a los datos entregados por los sensores, se exhibe un análisis para poder tener datos lo más exactos posibles de las variaciones que intervienen a la hora de maniobrar un vehículo de dos ruedas

Lego robot to simulate the movement type motorcycle

El grupo de investigación en Robótica Móvil Autónoma “ROMA” de la Facultad Tecnológica de la Universidad Distrital Francisco José de Caldas (Colombia), presenta en este documento los avances de la investigación del desarrollo de un robot móvil de dos ruedas (con una arquitectura tipo motocicleta) simulando su desplazamiento, de manera que el control de equilibrio se realiza estableciendo la posición a través de la dirección asistida por un manubrio. Para ello, se usan las herramientas del kit LEGO® MindStorms NXT 2.0 y el entorno de programación Labview®, no solo para el control sino también para visualizar el comportamiento de las diferentes variables. Con el estudio del robot se presentan los principales factores que influyen en el manejo de una motocicleta, como son: equilibrio, dirección y velocidad; y, gracias a los datos entregados por los sensores, se exhibe un análisis para poder tener datos lo más exactos posibles de las variaciones que intervienen a la hora de maniobrar un vehículo de dos ruedas.The research group in Mobile Robotics Autonomous "ROMA" from technological faculty of the District University Francisco José de Caldas (Colombia) presents in this article the development of a mobile robot with two wheels - with architecture motorcycle-type, simulating displacement and setting the position by steering by a handle, to control balance. For It, was developed a robt using the tools of LEGO® NXT 2.0 and the kit MindStorms and Labview® programming environment, not only for control but also to visualize the behavior of the different variables. With the study, it presents the main factors influencing the handling of a motorcycle: balance, direction and speed; and, thanks to the data delivered by the sensors, present an analysis was performed in order to have exact data of the variations occurring when maneuvering a two-wheeled vehicle

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83–7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97–2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14–1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25–1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable