¿A quiénes afecta el desempleo? análisis de la tasa de incidencia en Colombia

El análisis de la dimensión de riesgo en el estudio del desempleo, complementa el estudio de aspectos como su tipología, la importancia de la intermediación laboral o la vulnerabilidad de ciertos grupos. En este sentido, la tasa de incidencia representa un indicador compuesto que tiene en cuenta el volumen de desempleados y la persistencia en este estado mediante la incorporación de la duración media del desempleo. El análisis de la tasa de incidencia permite caracterizar de manera más completa a quienes tienen una mayor probabilidad de entrar en el desempleo o permanecer en esta situación. . Se encuentra que en Colombia existen diferencias significativas entre la tasa de desempleo y la tasa de incidencia, lo que implica que la situación del mercado de trabajo no sólo se explica por el efecto que los choques económicos tienen sobre la composición de la oferta y demanda de trabajo sino también por los fenómenos de duración en los diferentes estados laborales. Estos eventos se pueden considerar igualmente importantes para explicar la dinámica de corto y mediano plazo del mercado laboral.

¿A quiénes afecta el desempleo? análisis de la tasa de incidencia en Colombia

El análisis de la dimensión de riesgo en el estudio del desempleo, complementa el estudio de aspectos como su tipología, la importancia de la intermediación laboral o la vulnerabilidad de ciertos grupos. En este sentido, la tasa de incidencia representa un indicador compuesto que tiene en cuenta el volumen de desempleados y la persistencia en este estado mediante la incorporación de la duración media del desempleo. El análisis de la tasa de incidencia permite caracterizar de manera más completa a quienes tienen una mayor probabilidad de entrar en el desempleo o permanecer en esta situación. Se encuentra que en Colombia existen diferencias significativas entre la tasa de desempleo y la tasa de incidencia, lo que implica que la situación del mercado de trabajo no sólo se explica por el efecto que los choques económicos tienen sobre la composición de la oferta y demanda de trabajo sino también por los fenómenos de duración en los diferentes estados laborales. Estos eventos se pueden considerar igualmente importantes para explicar la dinámica de corto y mediano plazo del mercado laboral.

A comparison between feature-based and EM-based contour tracking

Most active-contour methods are based either on maximizing the image contrast under the contour or on minimizing the sum of squared distances between contour and image 'features'. The Marginalized Likelihood Ratio (MLR) contour model uses a contrast-based measure of goodness-of-fit for the contour and thus falls into the first class. The point of departure from previous models consists in marginalizing this contrast measure over unmodelled shape variations. The MLR model naturally leads to the EM Contour algorithm, in which pose optimization is carried out by iterated least-squares, as in feature-based contour methods. The difference with respect to other feature-based algorithms is that the EM Contour algorithm minimizes squared distances from Bayes least-squares (marginalized) estimates of contour locations, rather than from 'strongest features' in the neighborhood of the contour. Within the framework of the MLR model, alternatives to the EM algorithm can also be derived: one of these alternatives is the empirical-information method. Tracking experiments demonstrate the robustness of pose estimates given by the MLR model, and support the theoretical expectation that the EM Contour algorithm is more robust than either feature-based methods or the empirical-information method. (c) 2005 Elsevier B.V. All rights reserved.

Time-lapse geophysical investigations over known archaeological features using electrical resistivity imaging and earth resistance

Electrical methods of geophysical survey are known to produce results that are hard to predict at different times of the year, and under differing weather conditions. This is a problem which can lead to misinterpretation of archaeological features under investigation. The dynamic relationship between a ‘natural’ soil matrix and an archaeological feature is a complex one, which greatly affects the success of the feature’s detection when using active electrical methods of geophysical survey. This study has monitored the gradual variation of measured resistivity over a selection of study areas. By targeting difficult to find, and often ‘missing’ electrical anomalies of known archaeological features, this study has increased the understanding of both the detection and interpretation capabilities of such geophysical surveys. A 16 month time-lapse study over 4 archaeological features has taken place to investigate the aforementioned detection problem across different soils and environments. In addition to the commonly used Twin-Probe earth resistance survey, electrical resistivity imaging (ERI) and quadrature electro-magnetic induction (EMI) were also utilised to explore the problem. Statistical analyses have provided a novel interpretation, which has yielded new insights into how the detection of archaeological features is influenced by the relationship between the target feature and the surrounding ‘natural’ soils. The study has highlighted both the complexity and previous misconceptions around the predictability of the electrical methods. The analysis has confirmed that each site provides an individual and nuanced situation, the variation clearly relating to the composition of the soils (particularly pore size) and the local weather history. The wide range of reasons behind survey success at each specific study site has been revealed. The outcomes have shown that a simplistic model of seasonality is not universally applicable to the electrical detection of archaeological features. This has led to the development of a method for quantifying survey success, enabling a deeper understanding of the unique way in which each site is affected by the interaction of local environmental and geological conditions.

A discontinuous-Galerkin-based immersed boundary method

A numerical method to approximate partial differential equations on meshes that do not conform to the domain boundaries is introduced. The proposed method is conceptually simple and free of user-defined parameters. Starting with a conforming finite element mesh, the key ingredient is to switch those elements intersected by the Dirichlet boundary to a discontinuous-Galerkin approximation and impose the Dirichlet boundary conditions strongly. By virtue of relaxing the continuity constraint at those elements. boundary locking is avoided and optimal-order convergence is achieved. This is shown through numerical experiments in reaction-diffusion problems. Copyright (c) 2008 John Wiley & Sons, Ltd.

Efeito do desenho em amostragem de conglomerado para estimar a distribuição de ocupações entre trabalhadores

OBJETIVO: Descrever o desenho amostral efetuado para estimar a distribuição de população economicamente ativa, apresentando o efeito do desenho encontrado. MÉTODOS: A partir de um cadastro universal, foram amostrados 4.782 domicílios residenciais do município de Botucatu, SP, por intermédio de amostra aleatória sistemática de conglomerados, realizada entre junho e julho de 1997. RESULTADOS: Os 4.782 domicílios residenciais corresponderam a 17.219 moradores de Botucatu, entre junho e julho de 1997. em decorrência da perda de heterogeneidade da distribuição das ocupações dentro dos domicílios amostrados, o efeito do desenho encontrado variou entre 1,00 e 1,96. CONCLUSÕES: Com base nos resultados obtidos, sugere-se que, em amostras de conglomerados para estimativas da distribuição de ocupações em populações economicamente ativas, o efeito do desenho seja estimado como e=1,50, para amostragens em zona urbana; e e=2,00 para amostragens em zona rural.

Depressive symptoms and level of physical activity in patients with Alzheimer's disease

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Tabagismo e mecanismos de defesa: resposta imune e transporte mucociliar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

The social wasp fauna of a riparian forest in southeastern Brazil (hymenoptera, vespidae)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Influência do exercício resistido aplicado de forma aguda sobre a variabilidade da frequência cardíaca em jovens ativos saudáveis: análise por meio de índices geométricos

Introduction: The triangular index and the Poincaré plot (or Lorenz plot) are the best known indexes obtained from geometric methods. The triangular index (TINN, RRtri) represent the global variability of the subject and SD1, which reflects the parasympathetic component, SD2, index of global variability and its relationship (SD1/SD2) are obtained from the Poincaré plot. Despite the literature showing changes in the cardiovascular system during and after the resistance exercise (RE), aspects related to autonomic modulation of heart against these conditions have not been explored yet, so it is important to evaluate this behavior. Objectives: Analyze the acute effects of RE on the cardiac autonomic modulation during recovery (REC) through analysis of geometric indices of heart rate variability (HRV), applied with different intensities and muscle groups in healthy and active young. Methods: Were evaluated 24 young, 22.25 ± 2.4 years and 24.47 ± 3.08 kg/m2, underwent an experimental protocol of five stages, in the first stage was conducted a test of one maximum repetition (1RM) in upper limbs (UL) and lower limb (LL), and the following steps were initiated interventions to 40 (E) and 80% (F) of 1RM. Considered for HRV analysis the periods: baseline and immediately after exercise, both in supine... (Complete abstract click electronic access below)

Black-scholes type equations

In this work we are concerned with the analysis and numerical solution of Black-Scholes type equations arising in the modeling of incomplete financial markets and an inverse problem of determining the local volatility function in a generalized Black-Scholes model from observed option prices. In the first chapter a fully nonlinear Black-Scholes equation which models transaction costs arising in option pricing is discretized by a new high order compact scheme. The compact scheme is proved to be unconditionally stable and non-oscillatory and is very efficient compared to classical schemes. Moreover, it is shown that the finite difference solution converges locally uniformly to the unique viscosity solution of the continuous equation. In the next chapter we turn to the calibration problem of computing local volatility functions from market data in a generalized Black-Scholes setting. We follow an optimal control approach in a Lagrangian framework. We show the existence of a global solution and study first- and second-order optimality conditions. Furthermore, we propose an algorithm that is based on a globalized sequential quadratic programming method and a primal-dual active set strategy, and present numerical results. In the last chapter we consider a quasilinear parabolic equation with quadratic gradient terms, which arises in the modeling of an optimal portfolio in incomplete markets. The existence of weak solutions is shown by considering a sequence of approximate solutions. The main difficulty of the proof is to infer the strong convergence of the sequence. Furthermore, we prove the uniqueness of weak solutions under a smallness condition on the derivatives of the covariance matrices with respect to the solution, but without additional regularity assumptions on the solution. The results are illustrated by a numerical example.

Automated Segmentation and Non-Rigid Registration for the Quantitative Evaluation of Myocardial Perfusion from Magnetic Resonance Images

Myocardial perfusion quantification by means of Contrast-Enhanced Cardiac Magnetic Resonance images relies on time consuming frame-by-frame manual tracing of regions of interest. In this Thesis, a novel automated technique for myocardial segmentation and non-rigid registration as a basis for perfusion quantification is presented. The proposed technique is based on three steps: reference frame selection, myocardial segmentation and non-rigid registration. In the first step, the reference frame in which both endo- and epicardial segmentation will be performed is chosen. Endocardial segmentation is achieved by means of a statistical region-based level-set technique followed by a curvature-based regularization motion. Epicardial segmentation is achieved by means of an edge-based level-set technique followed again by a regularization motion. To take into account the changes in position, size and shape of myocardium throughout the sequence due to out of plane respiratory motion, a non-rigid registration algorithm is required. The proposed non-rigid registration scheme consists in a novel multiscale extension of the normalized cross-correlation algorithm in combination with level-set methods. The myocardium is then divided into standard segments. Contrast enhancement curves are computed measuring the mean pixel intensity of each segment over time, and perfusion indices are extracted from each curve. The overall approach has been tested on synthetic and real datasets. For validation purposes, the sequences have been manually traced by an experienced interpreter, and contrast enhancement curves as well as perfusion indices have been computed. Comparisons between automatically extracted and manually obtained contours and enhancement curves showed high inter-technique agreement. Comparisons of perfusion indices computed using both approaches against quantitative coronary angiography and visual interpretation demonstrated that the two technique have similar diagnostic accuracy. In conclusion, the proposed technique allows fast, automated and accurate measurement of intra-myocardial contrast dynamics, and may thus address the strong clinical need for quantitative evaluation of myocardial perfusion.

Satisfaction of clinical nurses with the formation of a university tutorial program

Degree in nursing from the Universitat Jaume I (UJI) maintains the continuity of learning with an integrated learning methodology (theory, simulated practice and clinical practice). The objective of this methodology is to achieve consistency between the knowledge, abilities and skills acquired in the classroom, laboratory and clinic to ensure skills related. Reference Nurse is a key figure in this process, you receive accredited training on Educational Methods, assessment of competence, and Evidence-Based Practice that plays the role of evaluating in conjunction with the subjects. It does not perceive economic remuneration. The main objective of this study is to determine the level of satisfaction of clinical nurses on the Nurses Training Program Reference in UJI (Castellon- Spain). A cross sectional study was performed and conducted on 150 nurses. 112 questionnaires were completed, collected and analysed at the end of training. The survey consists of 12 items measured with the Likert scale with 5 levels of response and two open questions regarding the positive and negative aspects of the course and to add in this formation. The training is always performed by the same faculty and it's used four sessions of 2012. We perform a quantitative analysis of the variables under study using measures of central tendency. The completion rate of the survey is 95.53% (n=107). Anonymity rate of 54,14% The overall satisfaction level of training was 3.65 (SD = 0.89) on 5 points. 54.2% (n = 58) of the reference nurses made a contribution in the open questions described in the overall results. The overall satisfaction level can be considered acceptable. It is considered necessary to elaborate a specific survey to detect areas of improvement of nurse training program reference and future recruitment strategies. The main objective of the present work is the selection and integration of different methodologies among those applicable within the framework of the European Higher Education Area to combine teaching methods with high implication from both lecturers and students.

Variables affecting the collection and preservation of human scent components through instrumental and biological evaluations

In certain European countries and the United States of America, canines have been successfully used in human scent identification. There is however, limited scientific knowledge on the composition of human scent and the detection mechanism that produces an alert from canines. This lack of information has resulted in successful legal challenges to human scent evidence in the courts of law. ^ The main objective of this research was to utilize science to validate the current practices of using human scent evidence in criminal cases. The goals of this study were to utilize Headspace Solid Phase Micro Extraction Gas Chromatography Mass Spectrometry (HS-SPME-GC/MS) to determine the optimum collection and storage conditions for human scent samples, to investigate whether the amount of DNA deposited upon contact with an object affects the alerts produced by human scent identification canines, and to create a prototype pseudo human scent which could be used for training purposes. ^ Hand odor samples which were collected on different sorbent materials and exposed to various environmental conditions showed that human scent samples should be stored without prolonged exposure to UVA/UVB light to allow minimal changes to the overall scent profile. Various methods of collecting human scent from objects were also investigated and it was determined that passive collection methods yields ten times more VOCs by mass than active collection methods. ^ Through the use of polymerase chain reaction (PCR) no correlation was found between the amount of DNA that was deposited upon contact with an object and the alerts that were produced by human scent identification canines. Preliminary studies conducted to create a prototype pseudo human scent showed that it is possible to produce fractions of a human scent sample which can be presented to the canines to determine whether specific fractions or the entire sample is needed to produce alerts by the human scent identification canines. ^

Advanced control of managed pressure drilling

Automation of managed pressure drilling (MPD) enhances the safety and increases efficiency of drilling and that drives the development of controllers and observers for MPD. The objective is to maintain the bottom hole pressure (BHP) within the pressure window formed by the reservoir pressure and fracture pressure and also to reject kicks. Practical MPD automation solutions must address the nonlinearities and uncertainties caused by the variations in mud flow rate, choke opening, friction factor, mud density, etc. It is also desired that if pressure constraints are violated the controller must take appropriate actions to reject the ensuing kick. The objectives are addressed by developing two controllers: a gain switching robust controller and a nonlinear model predictive controller (NMPC). The robust gain switching controller is designed using H1 loop shaping technique, which was implemented using high gain bumpless transfer and 2D look up table. Six candidate controllers were designed in such a way they preserve robustness and performance for different choke openings and flow rates. It is demonstrated that uniform performance is maintained under different operating conditions and the controllers are able to reject kicks using pressure control and maintain BHP during drill pipe extension. The NMPC was designed to regulate the BHP and contain the outlet flow rate within certain tunable threshold. The important feature of that controller is that it can reject kicks without requiring any switching and thus there is no scope for shattering due to switching between pressure and flow control. That is achieved by exploiting the constraint handling capability of NMPC. Active set method was used for computing control inputs. It is demonstrated that NMPC is able to contain kicks and maintain BHP during drill pipe extension.