Diversity, local uses and availability of medicinal plants and wild yams in the Mahafaly region of south-western Madagascar

Short summary: This study was undertaken to assess the diversity of plant resources utilized by the local population in south-western Madagascar, the social, ecological and biophysical conditions that drive their uses and availability, and possible alternative strategies for their sustainable use in the region. The study region, ‘Mahafaly region’, located in south-western Madagascar, is one of the country’s most economically, educationally and climatically disadvantaged regions. With an arid steppe climate, the agricultural production is limited by low water availability and a low level of soil nutrients and soil organic carbon. The region comprises the recently extended Tsimanampetsotsa National Park, with numerous sacred and communities forests, which are threatened by slash and burn agriculture and overexploitation of forests resources. The present study analyzed the availability of wild yams and medicinal plants, and their importance for the livelihood of the local population in this region. An ethnobotanical survey was conducted recording the diversity, local knowledge and use of wild yams and medicinal plants utilized by the local communities in five villages in the Mahafaly region. 250 households were randomly selected followed by semi-structured interviews on the socio-economic characteristics of the households. Data allowed us to characterize sociocultural and socioeconomic factors that determine the local use of wild yams and medicinal plants, and to identify their role in the livelihoods of local people. Species-environment relationships and the current spatial distribution of the wild yams were investigated and predicted using ordination methods and a niche based habitat modelling approach. Species response curves along edaphic gradients allowed us to understand the species requirements on habitat conditions. We thus investigated various alternative methods to enhance the wild yam regeneration for their local conservation and their sustainable use in the Mahafaly region. Altogether, six species of wild yams and a total of 214 medicinal plants species from 68 families and 163 genera were identified in the study region. Results of the cluster and discriminant analysis indicated a clear pattern on resource, resulted in two groups of household and characterized by differences in livestock numbers, off-farm activities, agricultural land and harvests. A generalized linear model highlighted that economic factors significantly affect the collection intensity of wild yams, while the use of medicinal plants depends to a higher degree on socio-cultural factors. The gradient analysis on the distribution of the wild yam species revealed a clear pattern for species habitats. Species models based on NPMR (Nonparametric Multiplicative Regression analysis) indicated the importance of vegetation structure, human interventions, and soil characteristics to determine wild yam species distribution. The prediction of the current availability of wild yam resources showed that abundant wild yam resources are scarce and face high harvest intensity. Experiments on yams cultivation revealed that germination of seeds was enhanced by using pre-germination treatments before planting, vegetative regeneration performed better with the upper part of the tubers (corms) rather than the sets of tubers. In-situ regeneration was possible for the upper parts of the wild tubers but the success depended significantly on the type of soil. The use of manure (10-20 t ha¹) increased the yield of the D. alata and D. alatipes by 40%. We thus suggest the promotion of other cultivated varieties of D. alata found regions neighbouring as the Mahafaly Plateau.

Simultaneous estimation of indirect and interaction effects using structural equation models

Interaction effects are usually modeled by means of moderated regression analysis. Structural equation models with non-linear constraints make it possible to estimate interaction effects while correcting for measurement error. From the various specifications, Jöreskog and Yang's (1996, 1998), likely the most parsimonious, has been chosen and further simplified. Up to now, only direct effects have been specified, thus wasting much of the capability of the structural equation approach. This paper presents and discusses an extension of Jöreskog and Yang's specification that can handle direct, indirect and interaction effects simultaneously. The model is illustrated by a study of the effects of an interactive style of use of budgets on both company innovation and performance

Correcting Measurement Error Bias in Interaction Models with Small Samples

Several methods have been suggested to estimate non-linear models with interaction terms in the presence of measurement error. Structural equation models eliminate measurement error bias, but require large samples. Ordinary least squares regression on summated scales, regression on factor scores and partial least squares are appropriate for small samples but do not correct measurement error bias. Two stage least squares regression does correct measurement error bias but the results strongly depend on the instrumental variable choice. This article discusses the old disattenuated regression method as an alternative for correcting measurement error in small samples. The method is extended to the case of interaction terms and is illustrated on a model that examines the interaction effect of innovation and style of use of budgets on business performance. Alternative reliability estimates that can be used to disattenuate the estimates are discussed. A comparison is made with the alternative methods. Methods that do not correct for measurement error bias perform very similarly and considerably worse than disattenuated regression

Correlación SO2/FiO2 con PaO2/FiO2 en niños en ventilación mecánica a grandes alturas : estudio multicéntrico

Cambios en la PaO2 se correlacionan de manera positiva con cambios en la SO2 permitiendo determinar la severidad de la hipoxemia. La búsqueda de un predictor que de forma no invasiva detecte pacientes con mayor compromiso pulmonar ha ganando auge; estableciendo los grados de hipoxemia moderada o severa como criterios para LPA y SDRA, a partir de los valores de PaO2/FiO2 y su correlación con la SO2/FiO2. No se conocen los valores de SO2/FiO2 que a más de 2500msnm permitan identificar la severidad de la hipoxemia en pediatría. Metodología: estudio de correlación y predicción en pacientes de un mes a 18 años de edad admitidos a UCIP, con soporte ventilatorio mecánico y análisis de gases arteriales seriados en dos Hospitales de referencia. Análisis de relación lineal y determinación de la correlación SOFiO2 y PaFiO2 a partir de 430 mediciones. Resultados: el estudio mostro una media para PaO2/FiO2 de 192,12 (DS+75,62) y para SO2/FiO2 de 208,61 (DS+62,79). La correlación SO2/FiO2 y Pa/FiO2 fue positiva y moderada-alta (r= 0,702;p<0.01). A partir de la regresión lineal entre las variables se obtuvo la ecuación de determinación PaO2/FiO2 = (0.92xSO2/FIO2) - 12, con sensibilidad y especificidad de 76% para detectar hipoxemia severa (SO2/FiO2<231), y sensibilidad de 74% y especificidad de 71% para hipoxemia moderada (SO2/FiO2<340). Discusión: los hallazgos obtenidos son muy útiles desde el punto de vista clínico para detectar rápidamente pacientes con hipoxemia moderada y severa, con riesgo potencial de deterioro, cuando no se dispone de línea arterial ó gases arteriales.

Modelo de gestión de la red de distribución tercerizada segmento tiendas región central, en productos de consumo masivo, mediante datos de panel y simulación de Monte Carlo.

El proyecto de investigación parte de la dinámica del modelo de distribución tercerizada para una compañía de consumo masivo en Colombia, especializada en lácteos, que para este estudio se ha denominado “Lactosa”. Mediante datos de panel con estudio de caso, se construyen dos modelos de demanda por categoría de producto y distribuidor y mediante simulación estocástica, se identifican las variables relevantes que inciden sus estructuras de costos. El problema se modela a partir del estado de resultados por cada uno de los cuatro distribuidores analizados en la región central del país. Se analiza la estructura de costos y el comportamiento de ventas dado un margen (%) de distribución logístico, en función de las variables independientes relevantes, y referidas al negocio, al mercado y al entorno macroeconómico, descritas en el objeto de estudio. Entre otros hallazgos, se destacan brechas notorias en los costos de distribución y costos en la fuerza de ventas, pese a la homogeneidad de segmentos. Identifica generadores de valor y costos de mayor dispersión individual y sugiere uniones estratégicas de algunos grupos de distribuidores. La modelación con datos de panel, identifica las variables relevantes de gestión que inciden sobre el volumen de ventas por categoría y distribuidor, que focaliza los esfuerzos de la dirección. Se recomienda disminuir brechas y promover desde el productor estrategias focalizadas a la estandarización de procesos internos de los distribuidores; promover y replicar los modelos de análisis, sin pretender remplazar conocimiento de expertos. La construcción de escenarios fortalece de manera conjunta y segura la posición competitiva de la compañía y sus distribuidores.

Option pricing in market models driven by telegraph processes with jumps

Esta tesis está dividida en dos partes: en la primera parte se presentan y estudian los procesos telegráficos, los procesos de Poisson con compensador telegráfico y los procesos telegráficos con saltos. El estudio presentado en esta primera parte incluye el cálculo de las distribuciones de cada proceso, las medias y varianzas, así como las funciones generadoras de momentos entre otras propiedades. Utilizando estas propiedades en la segunda parte se estudian los modelos de valoración de opciones basados en procesos telegráficos con saltos. En esta parte se da una descripción de cómo calcular las medidas neutrales al riesgo, se encuentra la condición de no arbitraje en este tipo de modelos y por último se calcula el precio de las opciones Europeas de compra y venta.

Curva de aprendizaje para ventana ecográfica de la vena cava inferior, en residentes de medicina de emergencias

INTRODUCCIÓN. El ultrasonido es fundamental en la medicina de emergencias, no se conoce cual debería ser la curva de aprendizaje para obtener las competencias técnicas y operativas; ACEP recomienda por cada ventana ecográfica realizar 25 repeticiones. No existe una curva de aprendizaje para ventana de VCI en la población de residentes colombianos. OBJETIVO: Determinar la curva de aprendizaje necesaria para obtener una proporción mayor al 80% de éxitos en la toma de la ventana ecográfica de la VCI, usando la escala de calificación para el aseguramiento de la calidad sugerida por ACEP, en residentes de I a III año de medicina de emergencias. METODOLOGÍA: Estudio experimental no comparativo, que evaluó la proporción de éxito en función del las tomas repetidas de la VCI por ultrasonido, mediciones que se tomaron luego de participar en una capacitación teórica y demostrativa de la técnica propuesta; se calificaron los videos según la escala publicada por ACEP. El análisis estadístico se realizó con un modelo logístico multinivel para la proporción del éxito, agrupado por repetición y agrupado por sujeto. RESULTADOS: Se obtuvo información de 8 residentes, cada uno realizo 25 repeticiones a 3 modelos sanos con asignación aleatoria. Se realizó la curva de aprendizaje obteniendo en 11 repeticiones una proporción de 0.80 (rango 0.54 a 0.92) y en 21 repeticiones una proporción de 0.9 (rango 0.75 a 0.96), datos ajustados por numero de repetición y residente. CONCLUSIÓN: La curva de aprendizaje para la ventana ecográfica de la VCI es de 11 y 21 repeticiones para obtener el 80% y 90% de éxito en residentes de medicina de emergencias de I a III año de la universidad del rosario.

La diplomacia cultural como herramienta para el mejoramiento de la relación económica de Colombia con Corea del Sur y Australia

Esta investigación se preocupa por dilucidar la función de la diplomacia cultural como herramienta para mejorar la relación económica de Colombia con Corea del Sur y Australia. Así, se analiza a la diplomacia cultural y lo que hace Colombia en esta materia en ambos países; así como el estado de la relación económica de Colombia en un periodo de ocho años con dichos países, y cómo las acciones culturales colombianas podrían llegar a mejorar dicha relación económica. De esta manera además del desarrollo conceptual de diplomacia cultural y los indicadores económicos, a saber; exportaciones; Inversión Extranjera Directa y turismo; se corrió un modelo de regresión lineal para saber si efectivamente hay relación entre ambas variables y una contribución final que consiste en una propuesta de generación de indicadores de gestión a utilizarse al momento de implementar la diplomacia cultural como herramienta en política exterior.

La influencia del autoconcepto en el rendimiento académico en estudiantes universitarios. 'The influence of self-concept on academic achievement in university students'.

Resumen tomado de la publicación. Con el apoyo económico del departamento MIDE de la UNED. Incluye anexo con el cuestionario utilizado para la realización del estudio

Confiança nas Instituições e Valores Culturais : Estudo Internacional Comparado entre Angola, Cabo Verde, Moçambique e Portugal

The present study shows the results of an international comparative research carried out in four Portuguese-speaking countries: Angola, Cape Verde, Mozambique and Portugal. The purpose is, firstly, to find these countries cultural profile according to Hofstede/ Minkov dimensions as well as to measure the citizens` level of trust in institutions and, secondly, to analyze the relation between cultural values and level of trust. A bibliographic and theoretical review has been made on the main theoretical references about trust as far as its multiple forms and dimensions are concerned. Then, a scale of confidence in institutions has been drawn. An extensive analysis has been carried out, using qualitative and quantitative methods, including factorial analysis and simple linear regression. The results provide relevant information on what makes the four target countries very alike and on what differentiates them the most. In Portugal, a tendency towards a growing trust in institutions of public offering has been registered, whereas in the African countries, citizens tend to trust institutions of private offering more. All the institutions connected with the judicial and political sphere of society have been negatively qualified by the respondents in all countries, in a relatively similar way.

An analysis of the management of a public sector project: a systems-based case study

The management of a public sector project is analysed using a model developed from systems theory. Linear responsibility analysis is used to identify the primary and key decision structure of the project and to generate quantitative data regarding differentiation and integration of the operating system, the managing system and the client/project team. The environmental context of the project is identified. Conclusions are drawn regarding the project organization structure's ability to cope with the prevailing environmental conditions. It is found that the complexity of the managing system imposed on the project was unable to achieve this and created serious deficiencies in the outcome of the project.

Organizational analysis of building projects

The principles of organization theory are applied to the organization of construction projects. This is done by proposing a framework for modelling the whole process of building procurement. This consists of a framework for describing the environments within which construction projects take place. This is followed by the development of a series of hypotheses about the organizational structure of construction projects. Four case studies are undertaken, and the extent to which their organizational structure matches the model is compared to the level of success achieved by each project. To this end there is a systematic method for evaluating the success of building project organizations, because any conclusions about the adequacy of a particular organization must be related to the degree of success achieved by that organization. In order to test these hypotheses, a mapping technique is developed. The technique offered is a development of a technique known as Linear Responsibility Analysis, and is called "3R analysis" as it deals with roles, responsibilities and relationships. The analysis of the case studies shows that they tended to suffer due to inappropriate organizational structure. One of the prevailing problems of public sector organization is that organizational structures are inadequately defined, and too cumbersome to respond to environmental demands on the project. The projects tended to be organized as rigid hierarchies, particularly at decision points, when what was required was a more flexible, dynamic and responsive organization. The study concludes with a series of recommendations; including suggestions for increasing the responsiveness of construction project organizations, and reducing the lead-in times for the inception periods.

Selenium supplementation of lactating dairy cows: Effect on selenium concentration in blood, milk, urine and feces

The objectives were to determine effects of graded levels of selenized yeast derived from a specific strain of Saccharomyces cerevisiae (CNCM I-3060) on animal performance and in selenium concentrations in the blood, milk, feces, and urine of dairy cows compared with sodium selenite; and to provide preliminary data on the proportion of selenium as selenomethionine in the milk and blood. Twenty Holstein cows were used in a 5 × 5 Latin square design study in which all cows received the same total mixed rations, which varied only in source or concentration of dietary selenium. There were 5 experimental treatments. Total dietary selenium of treatment 1, which received no added selenium, was 0.15 mg/kg of dry matter, whereas values for treatments 2, 3, and 4, derived from selenized yeast, were 0.27, 0.33, and 0.40 mg/kg of dry matter, respectively. Treatment 5 contained 0.25 mg of selenium obtained from sodium selenite/kg of dry matter. There were no significant treatment effects on animal performance, and blood chemistry and hematology showed few treatment effects. Regression analysis noted significant positive linear effects of increasing dietary selenium derived from selenized yeast on selenium concentrations in the milk, blood, urine, and feces. In addition, milk selenium results indicated improved bioavailability of selenium from selenized yeast, compared with sodium selenite. Preliminary analyses showed that compared with sodium selenite, the use of selenized yeast increased the concentration of selenomethionine in the milk and blood. There was no indication of adverse effects on cow health associated with the use of selenized yeast.

Understanding electron heat flux signatures in the solar wind

Suprathermal electrons (E > 80 eV) carry heat flux away from the Sun. Processes controlling the heat flux are not well understood. To gain insight into these processes, we model heat flux as a linear dependence on two independent parameters: electron number flux and electron pitch angle anisotropy. Pitch angle anisotropy is further modeled as a linear dependence on two solar wind components: magnetic field strength and plasma density. These components show no correlation with number flux, reinforcing its independence from pitch angle anisotropy. Multiple linear regression applied to 2 years of Wind data shows good correspondence between modeled and observed heat flux and anisotropy. The results suggest that the interplay of solar wind parameters and electron number flux results in distinctive heat flux dropouts at heliospheric features like plasma sheets but that these parameters continuously modify heat flux. This is inconsistent with magnetic disconnection as the primary cause of heat flux dropouts. Analysis of fast and slow solar wind regimes separately shows that electron number flux and pitch angle anisotropy are equally correlated with heat flux in slow wind but that number flux is the dominant correlative in fast wind. Also, magnetic field strength correlates better with pitch angle anisotropy in slow wind than in fast wind. The energy dependence of the model fits suggests different scattering processes in fast and slow wind.

Estimation of the stoichiometry of volatile fatty acid production in the rumen of lactating cows

The purpose of this study was to improve the prediction of the quantity and type of Volatile Fatty Acids (VFA) produced from fermented substrate in the rumen of lactating cows. A model was formulated that describes the conversion of substrate (soluble carbohydrates, starch, hemi-cellulose, cellulose, and protein) into VFA (acetate, propionate, butyrate, and other VFA). Inputs to the model were observed rates of true rumen digestion of substrates, whereas outputs were observed molar proportions of VFA in rumen fluid. A literature survey generated data of 182 diets (96 roughage and 86 concentrate diets). Coefficient values that define the conversion of a specific substrate into VFA were estimated meta-analytically by regression of the model against observed VFA molar proportions using non-linear regression techniques. Coefficient estimates significantly differed for acetate and propionate production in particular, between different types of substrate and between roughage and concentrate diets. Deviations of fitted from observed VFA molar proportions could be attributed to random error for 100%. In addition to regression against observed data, simulation studies were performed to investigate the potential of the estimation method. Fitted coefficient estimates from simulated data sets appeared accurate, as well as fitted rates of VFA production, although the model accounted for only a small fraction (maximally 45%) of the variation in VFA molar proportions. The simulation results showed that the latter result was merely a consequence of the statistical analysis chosen and should not be interpreted as an indication of inaccuracy of coefficient estimates. Deviations between fitted and observed values corresponded to those obtained in simulations. (c) 2005 Elsevier Ltd. All rights reserved.