Eficacia del plasma rico en plaquetas en procedimientos médicos estéticos faciales . Evaluación en contorno de ojos.

Introducción: En la actualidad se están implementando nuevas técnicas, para el tratamiento de líneas de expresión facial. El Plasma Rico en Plaquetas (PRP) utiliza factores de crecimiento humano autólogos con fines médicos estéticos. El objetivo de este trabajo fue evaluar el tratamiento con plasma rico en plaquetas en el manejo del rejuvenecimiento periocular. Materiales y métodos: Estudio descriptivo retrospectivo en una cohorte de 27 pacientes entre 30 a 70 años de ambos sexos,tratados con PRP sin tratamientos médicos estéticos previos . Se compararon fotografías del sistema VISIA®, previo y posterior el PRP, para determinar los cambios del área periocular. Con análisis comparativo de medias utilizando pruebas t de student. Resultados: De 27 historias clínicas revisadas 96,3% eran mujeres, la edad promedio fue de 52.67 años. Se observaron cambios clínicos satisfactorios en el manejo del foto envejecimiento periocular con mejoría estadísticamente significativa entre el promedio inicial y el post tratamiento en arrugas, textura y porfirinas (p: 0.000). No se observaron diferencias estadísticamente significativas entre los grupos de edad (p = 0,62). Los pacientes analizados posterior al tratamiento se encuentran en mejor estado que el 63,78% de la población de su mismo sexo, edad y fototipo de piel. Los eventos adversos fueron disminuyendo en su frecuencia en cada una de las sesiones siguientes. Discusión: El PRP proporciona una mejoría global en los parámetros de envejecimiento periocular lo cual se correlaciono con los estudios previos in vitro. Conclusiones: El PRP es seguro y eficaz en contorno de ojos.

La Sostenibilidad Fiscal, el triunfo del mercado sobre los derechos.

La modificación a la Constitución Política de Colombia, que agregó el criterio de sostenibilidad fiscal, que tendrá que ser aplicado en todas las actuaciones del Estado, se implementó como forma de aplacar el gasto del Estado con miras a lograr dos objetivos que son: el de mantener el estado de la deuda pública a topes manejables, es decir, reducir la deuda y poder tener una estabilidad macroeconómica; según el gobierno nacional con estos dos pilares se asegurará un clima estable para la inversión extranjera en el territorio nacional augurando un auge económico sostenido y el bienestar general de los nacionales a futuro. En la presente monografía se realiza un análisis juicioso de dicho criterio, sus motivaciones económicas, la forma de su aprobación en el congreso de la república y el papel del Estado colombiano en la formulación del acto legislativo, así como las consecuencias que se suscitan en este una vez aprobado el criterio de sostenibilidad fiscal. En el transcurso de la monografía se podrá entender que es el criterio de sostenibilidad fiscal consecuencia de un proceso de globalización económica y una medida que inserta a la economía colombiana en esa tendencia mundial de libre flujo de bienes, capitales y servicios, que ha demostrado sólo beneficiar a grandes emporios económicos, multinacionales, transnacionales y sectores productivos de países potencias en detrimento de sectores económicos de los otros países, se concluye así que el criterio de sostenibilidad fiscal no es una buena decisión e implica un cambio fundamental del modelo de Estado que hace colapsar la economía nacional y de paso se da un golpe de gracia al cumplimiento de derechos fundamentales.

Evaluación de la siniestralidad en pequeñas y medianas empresas en los sectores económicos de la regional centro de una aseguradora de riesgos laborales, Colombia, 2014.

Introducción: Las estadísticas de siniestralidad laboral son el negativo de las condiciones de trabajo de la economía de un país. Las indeseables condiciones de trabajo que predominan en la actualidad probablemente sean consecuencia de las crecientes contrataciones temporales lo cual conduce a que se incrementen los accidentes de trabajo, debido a la pobre inversión en el área de riesgos laborales. Objetivo: Evaluación de la siniestralidad en pequeñas y medianas empresas de los sectores económicos de la regional centro en una aseguradora de riesgos laborales, Colombia, 2014. Materiales y métodos: Estudio tipo observacional descriptivo, retrospectivo, realizado a 14.994 eventos calificados como accidentes de trabajo en una aseguradora de riesgos laborales dela regional centro durante Enero a Diciembre del años 2014. Resultados: La mayor incidencia de accidentalidad fue en el sector económico de establecimientos financieros, seguros, actividades inmobiliarias y servicios a las empresas, con un 36.9%. Se encontró que el riesgo que genero mayor accidentalidad fue caída a nivel con un 17.2%. El grupo diagnostico que predomino fue el de heridas superficiales y heridas abiertas con un 77.4%. El tipo de atención que genero mayores atenciones fue la atención ambulatoria con 93.1%. Conclusión: El sector económico que se vio mayormente afectado en accidentalidad laboral fue el de establecimientos financieros, seguros, actividades inmobiliarias y servicios a las empresas. Al asociar dicho sector económico con el tipo de riesgo se determinó que el riesgo por lesión en accidente deportivo fue de un 61%, predisponiendo este al desarrollo de accidentalidad laboral. Por lo anterior se deben hacerr estrategias de intervención de prevención y promoción en las pequeñas y medianas empresas y como consecuencia disminuir las tasas de siniestralidad e impactar de manera positiva en la salud de los trabajadores, en las tasas de ausentismo laboral y el costo asistencial.

Invprest

Invprest es la primera plataforma de préstamos entre personas en Colombia y Latinoamérica dirigida exclusivamente para Millenials; es decir conectamos a personas que necesitan financiamiento con personas que están dispuestas a prestar a una tasa justa, equitativa y más rentable que la del mercado financiero. Se tiene en cuenta un estudio de crédito diferente al tradicional donde se revisan factores de la personalidad y comportamentales del solicitante de crédito para conocer su riesgo. Actualmente una gran parte de los usuarios financieros se sienten insatisfechos con los servicios que prestan las entidades bancarias. La tecnología y nuevos modelos de economía colaborativa han abierto el espacio a nuevas formas de consumo, entre ellos la innovación en los servicios bancarios que han funcionado por mucho tiempo de la misma forma. La falta de un excelente servicio, unas tasas de interés que no reflejan las condiciones del mercado, la falta de un servicio que incluya las necesidades de los clientes en una economía digital son problemas que se resuelven con este emprendimiento. Se busca llegar a un mercado potencial de 170.000 personas en Bogotá y en Colombia de 638.000 aproximadamente. El mercado en Colombia es nuevo, naciente y con potencial de crecimiento. Actualmente hay más de 70 países que cuentan con plataformas de este estilo y se espera que las inversiones en estos modelos de negocio sean mayores a $14.000 Millones de dólares en el 2.015. Así mismo en Colombia cada vez se conoce más sobre los cambios de la industria financiera mundial. Invprest se diferencia en otros aspectos relacionados con el seguimiento de la cartera, los requerimientos relacionados a la posesión de activos fijos que en este modelo no son necesarios si la persona tiene buenos ingresos y la utilización de firmas electrónicas para que todos los procesos se puedan hacer electrónicamente. Yohan Florez es un apasionado por el tema de finanzas que ha logrado contactar e incluir a personas de Fiduciarias, Brigard & Urrutia, Certicamara y otros expertos financieros en la creación de las soluciones que se le pueden dar a los problemas de este proceso y que ayudan con su conocimiento y experiencia para el desarrollo del proyecto. 3 En el corto plazo la empresa se va a consolidar en Colombia y en el mediano- largo plazo se van a realizar las acciones para expandir el modelo a otros países de Latinoamérica. Se espera que en el tercer año se cuente con ingresos superiores a los $1.700 millones de pesos con una ganancia de $98 millones, el punto de equilibrio se alcanza en el mes 11. El medio para llegar a los clientes es usando redes sociales con publicidad dirigida, así mismo el Ceo será el principal vendedor de la compañía al inicio de la operación. La inversión inicial requerida para el proyecto empresarial es de $201.000.000.

Sensitivity of feature-based analysis methods of storm tracks to the form of background field removal

For the tracking of extrema associated with weather systems to be applied to a broad range of fields it is necessary to remove a background field that represents the slowly varying, large spatial scales. The sensitivity of the tracking analysis to the form of background field removed is explored for the Northern Hemisphere winter storm tracks for three contrasting fields from an integration of the U. K. Met Office's (UKMO) Hadley Centre Climate Model (HadAM3). Several methods are explored for the removal of a background field from the simple subtraction of the climatology, to the more sophisticated removal of the planetary scales. Two temporal filters are also considered in the form of a 2-6-day Lanczos filter and a 20-day high-pass Fourier filter. The analysis indicates that the simple subtraction of the climatology tends to change the nature of the systems to the extent that there is a redistribution of the systems relative to the climatological background resulting in very similar statistical distributions for both positive and negative anomalies. The optimal planetary wave filter removes total wavenumbers less than or equal to a number in the range 5-7, resulting in distributions more easily related to particular types of weather system. For the temporal filters the 2-6-day bandpass filter is found to have a detrimental impact on the individual weather systems, resulting in the storm tracks having a weak waveguide type of behavior. The 20-day high-pass temporal filter is less aggressive than the 2-6-day filter and produces results falling between those of the climatological and 2-6-day filters.

The mean evolution and variability of the Asian summer monsoon: Comparison of ECMWF and NCEP-NCAR reanalyses

The behavior of the Asian summer monsoon is documented and compared using the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA) and the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) Reanalysis. In terms of seasonal mean climatologies the results suggest that, in several respects, the ERA is superior to the NCEP-NCAR Reanalysis. The overall better simulation of the precipitation and hence the diabatic heating field over the monsoon domain in ERA means that the analyzed circulation is probably nearer reality. In terms of interannual variability, inconsistencies in the definition of weak and strong monsoon years based on typical monsoon indices such as All-India Rainfall (AIR) anomalies and the large-scale wind shear based dynamical monsoon index (DMI) still exist. Two dominant modes of interannual variability have been identified that together explain nearly 50% of the variance. Individually, they have many features in common with the composite flow patterns associated with weak and strong monsoons, when defined in terms of regional AIR anomalies and the large-scale DMI. The reanalyses also show a common dominant mode of intraseasonal variability that describes the latitudinal displacement of the tropical convergence zone from its oceanic-to-continental regime and essentially captures the low-frequency active/break cycles of the monsoon. The relationship between interannual and intraseasonal variability has been investigated by considering the probability density function (PDF) of the principal component of the dominant intraseasonal mode. Based on the DMI, there is an indication that in years with a weaker monsoon circulation, the PDF is skewed toward negative values (i,e., break conditions). Similarly, the PDFs for El Nino and La Nina years suggest that El Nino predisposes the system to more break spells, although the sample size may limit the statistical significance of the results.

Adaptive constraints for feature tracking

In this paper extensions to an existing tracking algorithm are described. These extensions implement adaptive tracking constraints in the form of regional upper-bound displacements and an adaptive track smoothness constraint. Together, these constraints make the tracking algorithm more flexible than the original algorithm (which used fixed tracking parameters) and provide greater confidence in the tracking results. The result of applying the new algorithm to high-resolution ECMWF reanalysis data is shown as an example of its effectiveness.

Extension of spherical nonparametric estimators to nonisotropic kernels: An oceanographic application

In a recently published paper. spherical nonparametric estimators were applied to feature-track ensembles to determine a range of statistics for the atmospheric features considered. This approach obviates the types of bias normally introduced with traditional estimators. New spherical isotropic kernels with local support were introduced. Ln this paper the extension to spherical nonisotropic kernels with local support is introduced, together with a means of obtaining the shape and smoothing parameters in an objective way. The usefulness of spherical nonparametric estimators based on nonisotropic kernels is demonstrated with an application to an oceanographic feature-track ensemble.

Feature-point detection using distance transforms: Application to tracking tropical convective complexes

The identification, tracking, and statistical analysis of tropical convective complexes using satellite imagery is explored in the context of identifying feature points suitable for tracking. The feature points are determined based on the shape of complexes using the distance transform technique. This approach has been applied to the determination feature points for tropical convective complexes identified in a time series of global cloud imagery. The feature points are used to track the complexes, and from the tracks statistical diagnostic fields are computed. This approach allows the nature and distribution of organized deep convection in the Tropics to be explored.

Spherical nonparametric estimators applied to the UGAMP model integration for AMIP

The aim of this paper is essentially twofold: first, to describe the use of spherical nonparametric estimators for determining statistical diagnostic fields from ensembles of feature tracks on a global domain, and second, to report the application of these techniques to data derived from a modern general circulation model. New spherical kernel functions are introduced that are more efficiently computed than the traditional exponential kernels. The data-driven techniques of cross-validation to determine the amount elf smoothing objectively, and adaptive smoothing to vary the smoothing locally, are also considered. Also introduced are techniques for combining seasonal statistical distributions to produce longer-term statistical distributions. Although all calculations are performed globally, only the results for the Northern Hemisphere winter (December, January, February) and Southern Hemisphere winter (June, July, August) cyclonic activity are presented, discussed, and compared with previous studies. Overall, results for the two hemispheric winters are in good agreement with previous studies, both for model-based studies and observational studies.

Feature tracking on the unit-sphere

Techniques used in a previous study of the objective identification and tracking of meteorological features in model data are extended to the unit sphere. An alternative feature detection scheme is described based on cubic interpolation for the sphere and local maximization. The extension of the tracking technique, used in the previous study, to the unit sphere is described. An example of the application of these techniques to a global relative vorticity field from a model integration are presented and discussed.

A general-method for tracking analysis and its application to meteorological data

Recent interest in the validation of general circulation models (GCMs) has been devoted to objective methods. A small number of authors have used the direct synoptic identification of phenomena together with a statistical analysis to perform the objective comparison between various datasets. This paper describes a general method for performing the synoptic identification of phenomena that can be used for an objective analysis of atmospheric, or oceanographic, datasets obtained from numerical models and remote sensing. Methods usually associated with image processing have been used to segment the scene and to identify suitable feature points to represent the phenomena of interest. This is performed for each time level. A technique from dynamic scene analysis is then used to link the feature points to form trajectories. The method is fully automatic and should be applicable to a wide range of geophysical fields. An example will be shown of results obtained from this method using data obtained from a run of the Universities Global Atmospheric Modelling Project GCM.

An improved algorithm for generating global window brightness temperatures from multiple satellite infrared imagery

An improved algorithm for the generation of gridded window brightness temperatures is presented. The primary data source is the International Satellite Cloud Climatology Project, level B3 data, covering the period from July 1983 to the present. The algorithm rakes window brightness, temperatures from multiple satellites, both geostationary and polar orbiting, which have already been navigated and normalized radiometrically to the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer, and generates 3-hourly global images on a 0.5 degrees by 0.5 degrees latitude-longitude grid. The gridding uses a hierarchical scheme based on spherical kernel estimators. As part of the gridding procedure, the geostationary data are corrected for limb effects using a simple empirical correction to the radiances, from which the corrected temperatures are computed. This is in addition to the application of satellite zenith angle weighting to downweight limb pixels in preference to nearer-nadir pixels. The polar orbiter data are windowed on the target time with temporal weighting to account for the noncontemporaneous nature of the data. Large regions of missing data are interpolated from adjacent processed images using a form of motion compensated interpolation based on the estimation of motion vectors using an hierarchical block matching scheme. Examples are shown of the various stages in the process. Also shown are examples of the usefulness of this type of data in GCM validation.

A comparison of recent reanalysis datasets using objective feature tracking: Storm tracks and tropical easterly waves

Data from four recent reanalysis projects [ECMWF, NCEP-NCAR, NCEP - Department of Energy ( DOE), NASA] have been diagnosed at the scale of synoptic weather systems using an objective feature tracking method. The tracking statistics indicate that, overall, the reanalyses correspond very well in the Northern Hemisphere (NH) lower troposphere, although differences for the spatial distribution of mean intensities show that the ECMWF reanalysis is systematically stronger in the main storm track regions but weaker around major orographic features. A direct comparison of the track ensembles indicates a number of systems with a broad range of intensities that compare well among the reanalyses. In addition, a number of small-scale weak systems are found that have no correspondence among the reanalyses or that only correspond upon relaxing the matching criteria, indicating possible differences in location and/or temporal coherence. These are distributed throughout the storm tracks, particularly in the regions known for small-scale activity, such as secondary development regions and the Mediterranean. For the Southern Hemisphere (SH), agreement is found to be generally less consistent in the lower troposphere with significant differences in both track density and mean intensity. The systems that correspond between the various reanalyses are considerably reduced and those that do not match span a broad range of storm intensities. Relaxing the matching criteria indicates that there is a larger degree of uncertainty in both the location of systems and their intensities compared with the NH. At upper-tropospheric levels, significant differences in the level of activity occur between the ECMWF reanalysis and the other reanalyses in both the NH and SH winters. This occurs due to a lack of coherence in the apparent propagation of the systems in ERA15 and appears most acute above 500 hPa. This is probably due to the use of optimal interpolation data assimilation in ERA15. Also shown are results based on using the same techniques to diagnose the tropical easterly wave activity. Results indicate that the wave activity is sensitive not only to the resolution and assimilation methods used but also to the model formulation.

Distribution and statistics of African mesoscale convective weather systems based on the ISCCP Meteosat imagery

This paper provides for the first time an objective short-term (8 yr) climatology of African convective weather systems based on satellite imagery. Eight years of infrared International Satellite Cloud Climatology Project-European Space Agency's Meteorological Satellite (ISCCP-Meteosat) satellite imagery has been analyzed using objective feature identification, tracking, and statistical techniques for the July, August, and September periods and the region of Africa and the adjacent Atlantic ocean. This allows various diagnostics to be computed and used to study the distribution of mesoscale and synoptic-scale convective weather systems from mesoscale cloud clusters and squall lines to tropical cyclones. An 8-yr seasonal climatology (1983-90) and the seasonal cycle of this convective activity are presented and discussed. Also discussed is the dependence of organized convection for this region, on the orography, convective, and potential instability and vertical wind shear using European Centre for Medium-Range Weather Forecasts reanalysis data.