Efectos de una intervención educativa en la promoción de la actividad física, otros comportamientos saludables y los conocimientos para la prevención del cáncer de pulmón en jóvenes del colegio La Merced en Bogotá D.C., Colombia

Introducción: El cáncer de pulmón es el tipo de cáncer más mortal a nivel mundial, al cual se atribuyen una de cada cinco muertes anualmente. El objetivo de este estudio fue determinar los efectos de una intervención educativa en la promoción de la actividad física, otros comportamientos saludables y los conocimientos para la prevención del cáncer de pulmón en jóvenes estudiantes de una institución educativa pública en Bogotá, Colombia. Métodos: Estudio experimental no controlado en 243 estudiantes de sexo femenino (Edad 14±1,5 años). La intervención educativa se desarrolló en tres momentos: una sesión educativa con una duración de 60 minutos acorde a la Guía para la Comunicación Educativa en el Marco del Control del Cáncer, en Colombia. Segundo, se enviaron tres correos electrónicos con información acerca del cáncer pulmonar; finalmente se desarrollaron actividades grupales. Para la toma de datos se utilizaron el cuestionario Cáncer Awareness Measure (CAM) y el Sistema de Vigilancia de Factores de Riesgo del Comportamiento (BRFSS). La evaluación se realizó en un período de seguimiento a 1, 3 y 6 meses post-intervención. Resultados: La intervención educativa incrementó significativamente los conocimientos de las jóvenes sobre los signos de alarma del cáncer pulmonar y los principales factores de riesgo modificables, tales como el consumo de cigarrillo, la exposición al humo del mismo y el sedentarismo, al sexto mes post-intervención. Las mejoras en el cambio comportamental no lograron significancia estadística. Conclusiones: Una intervención educativa mejora los conocimientos acerca de la detección temprana y la prevención del cáncer de pulmón, así como los comportamientos saludables en jóvenes estudiantes en Bogotá, Colombia. Se requiere de estudios controlados aleatorizados.

Prevalencia del desorden músculo-esquelético asociado a la actividad docente en instituciones distritales de la localidad de Usme, Bogotá, D.C.

ANTECEDENTES: Los desórdenes musculo esqueléticos DME son una de las alteraciones más frecuentes y una de las principales causas de ausentismo laboral en el continente americano, y Unión Europea, generando graves repercusiones económicas a nivel empresarial, de la salud pública, y del empleado. Esto es debido a una sobrecarga laboral causada por los trabajos repetitivos, posturas mantenidas, y requerimientos de fuerza muscular, por lo que se hace importante identificarlos a través de distintos métodos ergonómicos con el objeto de generar programas de prevención que permitan la mitigación de los mismos. OBJETIVO: Determinar los síntomas músculo-esqueléticos y su relación con las condiciones de trabajo de los docentes de instituciones educativas distritales de la localidad de Usme, Bogotá, D. C. MATERIALES Y METODOS: Estudio de corte transversal, efectuado en 192 docentes que se evaluaran con el cuestionario Nórdico estandarizado de síntomas musculo esqueléticos y preguntas sociodemográficas de la encuesta de condiciones de trabajo y salud (ECTS) para caracterizar la población estudio. Para el análisis estadístico se realizó distribución de frecuencias y medidas de tendencia central y dispersión. La evaluación de las posibles asociaciones se realizó mediante la prueba de chi-cuadrado de Pearson, con intervalos de confianza del 95%, la prevalencia fue ajustada por género con los intervalos de confianza. RESULTADOS: El 57,8% de los participantes era de sexo femenino, el 41,7% tenían edades entre los 30 y 39 años de edad, el 82,8% de los encuestados manejaban grupos de estudiantes que oscilan entre los 20 a 60 estudiantes, del total de los encuestados el 42,7% (IC95%: 35.9-49.5) presentan un DME ya diagnosticado por un médico o servicio de salud. El 77,1% respondieron afirmativamente a la presencia de esta variable con un IC95%: de 70,3-82,8. En cuanto a la localización del dolor, se observó que la región del cuello con el 51.6% (IC 44.3-58.9) y región lumbar con el 49% (IC95%: 42.2-56.3) fueron las dos regiones anatómicas valoradas con mayor presencia de dolor. Se encontró asociación entre la edad y el dolor (chi-cuadrado: 6,858), el sexo y dolor (chi-cuadrado: 0.250) y el número de estudiantes con el dolor (chi-cuadrado: 2,179) CONCLUSIONES: los resultados obtenidos en el presente estudio confirman la relación existente entre la presencia de desórdenes músculo-esqueléticos (DME) y la actividad docente, pero se hace pertinente la realización de más estudios que permitan valorar los DME con el riesgo psicosocial, jornada laboral y tipo de asignatura que imparten los docentes en sus cátedras para este tipo de población.

Small states and the promotion of their foreign policy agenda in the international scenario: Trinidad and Tobago and the Kyoto Protocol

Este estudio de caso busca identificar los elementos del portafolio de política exterior de Trinidad y Tobago que le permitieron promover exitosamente sus intereses en el Protocolo de Kioto. Al hacer esto, este texto analizará las limitaciones de Trinidad y Tobago en términos de vulnerabilidades de localización, burocracia y recursos. Posteriormente, una revisión del portafolio de política exterior de este Estado ilustrará el uso de estrategias de creación de capacidades y de organización como lo son el contacto con actores institucionales y no gubernamentales, la formación de coaliciones y estrategias argumentativas, entre otras. Finalmente, este artículo concluirá que dichas acciones permitieron la promoción de la agenda de política exterior de Trinidad y Tobago a través de la creación de hojas de ruta y la coordinación de la incertidumbre con el Protocolo de Kioto. Para hacer esto, este trabajo se concentrará en examinar conceptos como vulnerabilidad y priorización, asimismo contrastando diferentes artículos académicos en la materia junto con documentos oficiales de Trinidad y Tobago.

Application of system dynamics for evaluating truck load regulations in Anhui, China

In the critical situation of prevailing overweight transportation and crag-fast enforcement in Chinese highway networks, this paper develops a methodological framework for truck weight regulation (TWR) evaluation using System Dynamics (SD). Composed of five interrelated subsystems, the framework is able to capture the highway, vehicle and freight variables that influence the effect of TWR and transportation efficiency over time. It specifically describes the development and use of the Truck Weight Regulation Evaluating Model (TWREM) for the highway freight system in Anhui province, China. Three policy alternatives are analyzed: 1) tolerant policy approach, which allows heavy-duty freight activity to continue in its current state, and is shown to lead to nearly catastrophic results; 2) rigid policy approach, which would terminate all heavy-duty freight activities immediately, and is shown to be economically infeasible; and 3) moderate policy approach, which advocates a gradual reduction of heavy-duty freight activities to a moderate state. The simulation results shows that the moderate policy approach is the most appropriate option to solve the social and economic problems arising from the activities of the heavy-duty freight transportation in Anhui. In addition, some suggestions of TWR policy in China are also made in this paper.

Using a current source to improve efficiency of a plasma system

This paper presents the possibility of utilizing a current source topology instead of a voltage source as an efficient, flexible and reliable power supply for plasma applications. A buck-boost converter with a current controller has been used to transfer energy from an inductor to a plasma system. A control strategy has also been designed to satisfy all the desired purposes. The main concept behind this topology is to provide high dv/dt regardless of the switching speed of a power switch and to control the current level to properly transfer adequate energy to various plasma applications.

Degradation of piezoelectric fluropolymers in space environments

The performance criteria of piezoelectric polymers based on polyvinylidene flouride (PVDF) in complex space environments have been evaluated. Thin films of these materials are being explored as in-situ responsive materials for large aperture space-based telescopes with the shape deformation and optical features dependent on long-term deformation and optical features dependent on long-term degradation effects, mainly due to thermal cycling, vacuum UV exposure and atomic oxygen. A summary of previous studies related to materials testing and performance prediction based on a laboratory environment is presented. The degradation pathways are a combination of molecular chemical changes primarily induced via radiative damage and physical degradation processes due to temperature and atomic oxygen exposure resulting in depoling, loss of orientation and surface erosing. Experimental validation for these materials to be used in space is being conducted as part of MISSE-6 (Materials International Space Station Experiment) with an overview of the experimental strategies discussed here.

Analytical modeling and sensitivity analysis for travel time estimation on signalized urban networks

This paper presents a model for estimation of average travel time and its variability on signalized urban networks using cumulative plots. The plots are generated based on the availability of data: a) case-D, for detector data only; b) case-DS, for detector data and signal timings; and c) case-DSS, for detector data, signal timings and saturation flow rate. The performance of the model for different degrees of saturation and different detector detection intervals is consistent for case-DSS and case-DS whereas, for case-D the performance is inconsistent. The sensitivity analysis of the model for case-D indicates that it is sensitive to detection interval and signal timings within the interval. When detection interval is integral multiple of signal cycle then it has low accuracy and low reliability. Whereas, for detection interval around 1.5 times signal cycle both accuracy and reliability are high.

Tactical driver lane change model using forward search

This paper describes the development and evaluation of a tactical lane change model using the forward search algorithm, for use in a traffic simulator. The tactical lane change model constructs a set of possible choices of near-term maneuver sequences available to the driver and selects the lane change action at the present time to realize the best maneuver plan. Including near term maneuver planning in the driver behavior model can allow a better representation of the complex interactions in situations such as a weaving section and high-occupancy vehicle (HOV) lane systems where drivers must weave across several lanes in order to access the HOV lanes. To support the investigation, a longitudinal control model and a basic lane change model were also analyzed. The basic lane change model is similar to those used by today's commonly-used traffic simulators. Parameters in all models were best-fit estimated for selected vehicles from a real-world freeway vehicle trajectory data set. The best-fit estimation procedure minimizes the discrepancy between the model vehicle and real vehicle's trajectories. With the best fit parameters, the proposed tactical lane change model gave a better overall performance for a greater number of cases than the basic lane change model.

Remembering beliefs

Optimal decision-making requires us to accurately pinpoint the basis of our thoughts, e.g. whether they originate from our memory or our imagination. This paper argues that the phenomenal qualities of our subjective experience provide permissible evidence to revise beliefs, particularly as it pertains to memory. I look to the source monitoring literature to reconcile circumstances where mnemic beliefs and mnemic qualia conflict. By separating the experience of remembering from biological facts of memory, unusual cases make sense, such as memory qualia without memory (e.g. déjà vu, false memories) or a failure to have memory qualia with memory (e.g. functional amnesia, unintentional plagiarism). I argue that a pragmatic, probabilistic approach to belief revision is a way to rationally incorporate information from conscious experience, whilst acknowledging its inherent difficulties as an epistemic source. I conclude with a Bayesian defense of source monitoring based on C.I. Lewis’ coherence argument for memorial knowledge.

Important omitted spatial variables in safety models: Understanding contributing crash causes at intersections

Advances in safety research—trying to improve the collective understanding of motor vehicle crash causation—rests upon the pursuit of numerous lines of inquiry. The research community has focused on analytical methods development (negative binomial specifications, simultaneous equations, etc.), on better experimental designs (before-after studies, comparison sites, etc.), on improving exposure measures, and on model specification improvements (additive terms, non-linear relations, etc.). One might think of different lines of inquiry in terms of ‘low lying fruit’—areas of inquiry that might provide significant improvements in understanding crash causation. It is the contention of this research that omitted variable bias caused by the exclusion of important variables is an important line of inquiry in safety research. In particular, spatially related variables are often difficult to collect and omitted from crash models—but offer significant ability to better understand contributing factors to crashes. This study—believed to represent a unique contribution to the safety literature—develops and examines the role of a sizeable set of spatial variables in intersection crash occurrence. In addition to commonly considered traffic and geometric variables, examined spatial factors include local influences of weather, sun glare, proximity to drinking establishments, and proximity to schools. The results indicate that inclusion of these factors results in significant improvement in model explanatory power, and the results also generally agree with expectation. The research illuminates the importance of spatial variables in safety research and also the negative consequences of their omissions.

Incorporating weather into regionwide safety planning prediction models

Predicting safety on roadways is standard practice for road safety professionals and has a corresponding extensive literature. The majority of safety prediction models are estimated using roadway segment and intersection (microscale) data, while more recently efforts have been undertaken to predict safety at the planning level (macroscale). Safety prediction models typically include roadway, operations, and exposure variables—factors known to affect safety in fundamental ways. Environmental variables, in particular variables attempting to capture the effect of rain on road safety, are difficult to obtain and have rarely been considered. In the few cases weather variables have been included, historical averages rather than actual weather conditions during which crashes are observed have been used. Without the inclusion of weather related variables researchers have had difficulty explaining regional differences in the safety performance of various entities (e.g. intersections, road segments, highways, etc.) As part of the NCHRP 8-44 research effort, researchers developed PLANSAFE, or planning level safety prediction models. These models make use of socio-economic, demographic, and roadway variables for predicting planning level safety. Accounting for regional differences - similar to the experience for microscale safety models - has been problematic during the development of planning level safety prediction models. More specifically, without weather related variables there is an insufficient set of variables for explaining safety differences across regions and states. Furthermore, omitted variable bias resulting from excluding these important variables may adversely impact the coefficients of included variables, thus contributing to difficulty in model interpretation and accuracy. This paper summarizes the results of an effort to include weather related variables, particularly various measures of rainfall, into accident frequency prediction and the prediction of the frequency of fatal and/or injury degree of severity crash models. The purpose of the study was to determine whether these variables do in fact improve overall goodness of fit of the models, whether these variables may explain some or all of observed regional differences, and identifying the estimated effects of rainfall on safety. The models are based on Traffic Analysis Zone level datasets from Michigan, and Pima and Maricopa Counties in Arizona. Numerous rain-related variables were found to be statistically significant, selected rain related variables improved the overall goodness of fit, and inclusion of these variables reduced the portion of the model explained by the constant in the base models without weather variables. Rain tends to diminish safety, as expected, in fairly complex ways, depending on rain frequency and intensity.

Young, inexperienced and on the road: Do novice drivers comply with road rules?

Young novice drivers are at considerable risk of injury and fatality, particularly when they first drive independently. Graduated Driver Licensing (GDL) has been introduced in numerous jurisdictions to allow more driving experience in conditions of reduced risk and increasing driving privileges over a longer duration. Queensland, Australia, enhanced GDL July 2007. Learners must record 100 hours in a logbook (10 hours at night) over 1 year, no mobile handsfree/loudspeaker by driver or any passenger. Provisional 1 (P1) drivers must not carry 2 or more peer passengers 11pm - 5am, no mobile handsfree/loudspeaker by any passenger. Self-reported compliance with new GDL and general road rules has not been examined.

The development of a conceptual framework for a district 4-Year Pavement Management Plan, implementation of network-level project screening process

The Texas Department of Transportation (TxDOT) is concerned about the widening gap between preservation needs and available funding. Funding levels are not adequate to meet the preservation needs of the roadway network; therefore projects listed in the 4-Year Pavement Management Plan must be ranked to determine which projects should be funded now and which can be postponed until a later year. Currently, each district uses locally developed methods to prioritize projects. These ranking methods have relied on less formal qualitative assessments based on engineers’ subjective judgment. It is important for TxDOT to have a 4-Year Pavement Management Plan that uses a transparent, rational project ranking process. The objective of this study is to develop a conceptual framework that describes the development of the 4-Year Pavement Management Plan. It can be largely divided into three Steps; 1) Network-Level project screening process, 2) Project-Level project ranking process, and 3) Economic Analysis. A rational pavement management procedure and a project ranking method accepted by districts and the TxDOT administration will maximize efficiency in budget allocations and will potentially help improve pavement condition. As a part of the implementation of the 4-Year Pavement Management Plan, the Network-Level Project Screening (NLPS) tool including the candidate project identification algorithm and the preliminary project ranking matrix was developed. The NLPS has been used by the Austin District Pavement Engineer (DPE) to evaluate PMIS (Pavement Management Information System) data and to prepare a preliminary list of candidate projects for further evaluation.