Vitrification of bovine preantral follicles with dimethylsulfoxide and sucrose plus α-tocopherol

Abstract: The objective of this study was to evaluate the vitrification of bovine preantral follicles with dimethylsulfoxide (D) and sucrose (S) plus α-tocopherol 5mmol/L (T5) or 10mmol/L (T10) and, evaluate the thawed with minimal essential medium (m) with or without sucrose (s). Ovaries of cows were collected from slaughterhouse for the experiment I (n=66) and II (n=51). In the laboratory ovarian fragments were randomly assigned either to fresh control and 8 vitrification treatments (Controle and Dm; Dms, DSm; DSms; DST5m; DST5ms; DST10m; DST10ms). Ovarian fragments were placed in vitrification solution (5 min) and immersed in liquid nitrogen (-196°C), after a week, the fragments were thawed and analyzed. In the experiments I, preantral follicles were morphologically observed for histological evaluation, (normal; degenerated and developing of stage). In the experiment II, preantral follicles were mechanically isolated from ovarian tissue and examined with trypan blue, where dead and live corresponded to stained or non-stained. The treatments DSm, DSms and DST10m were effective in preserving the morphology in situ. However, the viability of isolated preantral follicles after vitrification remained high only in treatment DST10m. Thus, DST10m preserves survival rates and morphological integrity during vitrification of bovine preantral follicles.

Use of fused airborne scanning laser altimetry and digital map data for urban flood modelling

Flood modelling of urban areas is still at an early stage, partly because until recently topographic data of sufficiently high resolution and accuracy have been lacking in urban areas. However, Digital Surface Models (DSMs) generated from airborne scanning laser altimetry (LiDAR) having sub-metre spatial resolution have now become available, and these are able to represent the complexities of urban topography. The paper describes the development of a LiDAR post-processor for urban flood modelling based on the fusion of LiDAR and digital map data. The map data are used in conjunction with LiDAR data to identify different object types in urban areas, though pattern recognition techniques are also employed. Post-processing produces a Digital Terrain Model (DTM) for use as model bathymetry, and also a friction parameter map for use in estimating spatially-distributed friction coefficients. In vegetated areas, friction is estimated from LiDAR-derived vegetation height, and (unlike most vegetation removal software) the method copes with short vegetation less than ~1m high, which may occupy a substantial fraction of even an urban floodplain. The DTM and friction parameter map may also be used to help to generate an unstructured mesh of a vegetated urban floodplain for use by a 2D finite element model. The mesh is decomposed to reflect floodplain features having different frictional properties to their surroundings, including urban features such as buildings and roads as well as taller vegetation features such as trees and hedges. This allows a more accurate estimation of local friction. The method produces a substantial node density due to the small dimensions of many urban features.

A multi-scale framework for strategic management of diffuse pollution

A multi-scale framework for decision support is presented that uses a combination of experiments, models, communication, education and decision support tools to arrive at a realistic strategy to minimise diffuse pollution. Effective partnerships between researchers and stakeholders play a key part in successful implementation of this strategy. The Decision Support Matrix (DSM) is introduced as a set of visualisations that can be used at all scales, both to inform decision making and as a communication tool in stakeholder workshops. A demonstration farm is presented and one of its fields is taken as a case study. Hydrological and nutrient flow path models are used for event based simulation (TOPCAT), catchment scale modelling (INCA) and field scale flow visualisation (TopManage). One of the DSMs; The Phosphorus Export Risk Matrix (PERM) is discussed in detail. The PERM was developed iteratively as a point of discussion in stakeholder workshops, as a decision support and education tool. The resulting interactive PERM contains a set of questions and proposed remediation measures that reflect both expert and local knowledge. Education and visualisation tools such as GIS, risk indicators, TopManage and the PERM are found to be invaluable in communicating improved farming practice to stakeholders. (C) 2008 Elsevier Ltd. All rights reserved.

DTM generation from LIDAR data using skewness balancing

LIght Detection And Ranging (LIDAR) data for terrain and land surveying has contributed to many environmental, engineering and civil applications. However, the analysis of Digital Surface Models (DSMs) from complex LIDAR data is still challenging. Commonly, the first task to investigate LIDAR data point clouds is to separate ground and object points as a preparatory step for further object classification. In this paper, the authors present a novel unsupervised segmentation algorithm-skewness balancing to separate object and ground points efficiently from high resolution LIDAR point clouds by exploiting statistical moments. The results presented in this paper have shown its robustness and its potential for commercial applications.

Semi-automatic modeling of buildings from digital surface models

Semi-automatic building detection and extraction is a topic of growing interest due to its potential application in such areas as cadastral information systems, cartographic revision, and GIS. One of the existing strategies for building extraction is to use a digital surface model (DSM) represented by a cloud of known points on a visible surface, and comprising features such as trees or buildings. Conventional surface modeling using stereo-matching techniques has its drawbacks, the most obvious being the effect of building height on perspective, shadows, and occlusions. The laser scanner, a recently developed technological tool, can collect accurate DSMs with high spatial frequency. This paper presents a methodology for semi-automatic modeling of buildings which combines a region-growing algorithm with line-detection methods applied over the DSM.

Discriminação simples com mudanças sucessivas na função dos estímulos em bebês

Este trabalho investigou em três bebês, que tinham entre 10 e 14 meses no início do estudo, a aprendizagem de discriminações simples com mudanças sucessivas na função dos estímulos (DSMS), considerando que esse repertório pode facilitar a aprendizagem de discriminações condicionais por identidade (DCI), um possível pré-requisito no desenvolvimento de repertórios simbólicos mais complexos. A tarefa consistia na apresentação de figuras animadas (GIFs) em uma tela sensível ao toque, com um arranjo que simulava a configuração de um treino de DCI: em uma tentativa de discriminação simples, primeiro um estímulo (estímulo isolado EI) era apresentado e responder a ele produzia seu desaparecimento, reforço e a apresentação simultâneas de dois ou três estímulos, um deles o EI, o estímulo correto (S+). Foram programadas oito tentativas por sessão. O treino foi planejado para iniciar com uma discriminação simples com dois estímulos, com mudança na função dos estímulos, até que três estímulos diferentes tivessem funcionado uma vez como S+ e outra como S-. Após essa etapa passaria a ser apresentado três estímulos na mesma tentativa, até que cada um deles tivesse funcionado como S+ e S- (um ciclo de treino de DSMS). Depois disso o mesmo procedimento seria repetido com a redução de 50% do reforçamento nas apresentações do EI a cada ciclo de treino, até sua retirada total. Os resultados mostraram que as crianças somente alcançaram a etapa inicial do treino de DSMS planejado: duas mostraram evidência de aprendizagem de DSMS com dois estímulos e uma de discriminação simples também com dois estímulos. Das diversas manipulações que foram feitas procurando favorecer a permanência das crianças na tarefa e a aprendizagem da mesma, a que pareceu gerar melhores resultados foi a substituição dos conjuntos de estímulos ao longo do treino. Discute-se como essa manipulação, caracterizada como um treino de múltiplos exemplares de determinado repertório discriminativo, pode ser usada para ensinar DCI para crianças com menos de dois anos.

Testes de identidade generalizada com objetos em macaco-prego (Cebus apella)

Macacos-prego demonstram identidade generalizada (IG) quando os testes são precedidos de treino de discriminações simples com mudanças sucessivas (DSMS) da função dos estímulos usados nos testes. O presente estudo avaliou se esse efeito facilitador deve-se exclusivamente ao contato prévio com os estímulos. Submeteu-se um macaco-prego a quatro testes de IG com objetos: Teste 1 - diretamente com estímulos novos em uma tarefa de discriminação condicional por identidade; Teste 2 - com os mesmos estímulos do teste anterior após o treino de indução de controle condicional via DSMS; Teste 3 - com estímulos novos previamente manipulados livremente pelo sujeito; e Teste 4 - com os mesmos estímulos do Teste 3 após terem sido apresentados em treino de DSMS. O desempenho do sujeito atingiu o critério de aprendizagem nos testes 2 e 4. O treino de indução de controle condicional via DSMS com os estímulos de teste foi mais efetivo para produzir IG do que a livre manipulação.

Discriminação simples com mudanças sucessivas na função dos estímulos: aprendizagem em bebês

Investigou-se em três bebês a aprendizagem de discriminações simples com mudanças sucessivas na função dos estímulos (DSMS). Figuras animadas foram apresentadas em uma tela sensível ao toque. O treino começou com uma discriminação simples (DS) com dois estímulos, com mudança na função dos estímulos, até que todos tivessem funcionado uma vez como S+ e outra como S-. Posteriormente, três estímulos foram apresentados na mesma tentativa, completando um ciclo de DSMS. Duas crianças aprenderam a DSMS com dois estímulos e uma, a DS com dois estímulos. A substituição dos conjuntos de estímulos durante o treino, caracterizada como um treino de múltiplos exemplares, parece ter favorecido a permanência das crianças na tarefa e a aprendizagem da mesma.

Avaliação de uma técnica para geração de modelos digitais de superfície utilizando múltiplas imagens

The efficient generation of digital surface model (DSM) from optical images has been explored for many years and the results are dependent on the project characteristics (image resolution, size of overlap between images, among others), of the image matching techniques and the computer capabilities for the image processing. The points generated from image matching have a direct impact on the quality of the DSM and, consequently, influence the need for the costly step of edition. This work aims at assessing experimentally a technique for DSM generation by matching of multiple images (two or more) simultaneously using the vertical line locus method (VLL). The experiments were performed with six images of the urban area of Presidente Prudente/SP, with a ground sample distance (GSD) of approximately 7cm. DSMs of a small area with homogeneous texture, repetitive pattern, moving objects including shadows and trees were generated to assess the quality of the developed procedure. This obtained DSM was compared to cloud points acquired by LASER (Light Amplification by Simulated Emission of Radiation) scanning as wells as with a DSM generated by Leica Photogrammetric Suite (LPS) software. The accomplished results showed that the MDS generated by the implemented technique has a geometric quality compatible with the reference models.

Sight distance studies on roads: influence of digital elevation models and roadside elements

Sight distance plays an important role in road traffic safety. Two types of Digital Elevation Models (DEMs) are utilized for the estimation of available sight distance in roads: Digital Terrain Models (DTMs) and Digital Surface Models (DSMs). DTMs, which represent the bare ground surface, are commonly used to determine available sight distance at the design stage. Additionally, the use of DSMs provides further information about elements by the roadsides such as trees, buildings, walls or even traffic signals which may reduce available sight distance. This document analyses the influence of three classes of DEMs in available sight distance estimation. For this purpose, diverse roads within the Region of Madrid (Spain) have been studied using software based on geographic information systems. The study evidences the influence of using each DEM in the outcome as well as the pros and cons of using each model.

Dispute Settlement Alternatives in Future EU BITS. IES WORKING PAPER 1/2012

Following the inclusion of the Common Commercial Policy in the exclusive competences of the European Union, a handful of policy adjustments have occurred. Among these adjustments, investment protection has been a remarkable one - given its new, exclusive framework and an already established, state-level practice. As the new policy stands, Bilateral Investment Treaties, which had been negotiated and executed by the EU Member States in the pre-Lisbon period, can now only be negotiated and executed by the EU. These prospective ‘EU BITs’, inter alia, aim for an even stronger mechanism for the protection of investors both in the EU and in third states. A strong protection mechanism inevitably calls for a strong Dispute Settlement Mechanism, and the establishment of a DSM may prove to be challenging. The EU currently faces several questions on its path to a tangible and reliable ‘EU BIT’, and arguably the most outstanding one is the question of the DSMs to be incorporated in these new agreements. What are the alternatives of a DSM for these new BITs? Which alternatives are currently utilizable and which ones are not? What are the current problems that the EU face, and how can those problems be tackled? Is the International Centre for Settlement of Investment Disputes an alternative, and if not, why? Following a thorough overview, this paper aims to analyse the DSM alternatives for the EU to be used in the new EU BITs and ultimately provide a solid DSM proposal.

Why Do Some International Institutions Contain Strong Dispute Settlement Provisions: New Evidence from Preferential Trade Agreements

To understand why some international institutions have stronger dispute settlement mechanisms (DSMs) than others, we investigate the dispute settlement provisions of nearly 600 preferential trade agreements (PTAs), which possess several desirable case-selection features and are evoked more than is realized. We broaden the study of dispute settlement design beyond “legalization” and instead reorient theorizing around a multi-faceted conceptualization of the strength of DSMs. We posit that strong DSMs are first and foremost a rational response to features of agreements that require stronger dispute settlement, such as depth and large memberships. Multivariate empirical tests using a new data set on PTA design confirm these expectations and reveal that depth – the amount of policy change specified in an agreement – is the most powerful and consistent predictor of DSM strength, providing empirical support to a long-posited but controversial conjecture. Yet power also plays a sizeable role, since agreements among asymmetric members are more likely to have strong DSMs due to their mutual appeal, as are those involving the United States. Important regional differences also emerge, as PTAs across the Americas are designed with strong dispute settlement, as are Asian PTAs, which contradicts the conventional wisdom about Asian values and legalization. Our findings demonstrate that rationalism explains much of international institutional design, yet it can be enhanced by also incorporating power-based and regional explanations.