Final report: innovative processes in SMEs: some considerations about the Argentine case

Includes bibliography

Development trends and challenges for local e-governments: evidence from municipalities in Chile and Peru

Includes bibliography

Development then and now: Idea and utopia

The crisis of globalization has given renewed topicality to the idea of development as a complex process involving social and institutional changes as well as a variety of democratic learning processes. Placed at the margin of the international academic and political debate, the political economy of development can come back into its own if academics and politicians responsible for the economy are forced to think for the long term. The political economy of development needs to be twinned with politics so that what we understand by the general interest can be reconfigured in pursuit of freedom, justice and democracy. These can be the keys to turning globalization, whose essence is openness and interdependence, into an active agent in the development of national density, something that is indispensable if we are to think critically about reality and, as Prebisch taught and practised, set history on a future-creating course.

Development of a modelling framework in support of an assessment of the economic and social impacts of climate change in the Caribbean: the ECLAC – CIAM Model

The Caribbean region remains highly vulnerable to the impacts of climate change. In order to assess the social and economic consequences of climate change for the region, the Economic Commission for Latin America and the Caribbean( ECLAC) has developed a model for this purpose. The model is referred to as the Climate Impact Assessment Model (ECLAC-CIAM) and is a tool that can simultaneously assess multiple sectoral climate impacts specific to the Caribbean as a whole and for individual countries. To achieve this goal, an Integrated Assessment Model (IAM) with a Computable General Equilibrium Core was developed comprising of three modules to be executed sequentially. The first of these modules defines the type and magnitude of economic shocks on the basis of a climate change scenario, the second module is a global Computable General Equilibrium model with a special regional and industrial classification and the third module processes the output of the CGE model to get more disaggregated results. The model has the potential to produce several economic estimates but the current default results include percentage change in real national income for individual Caribbean states which provides a simple measure of welfare impacts. With some modifications, the model can also be used to consider the effects of single sectoral shocks such as (Land, Labour, Capital and Tourism) on the percentage change in real national income. Ultimately, the model is envisioned as an evolving tool for assessing the impact of climate change in the Caribbean and as a guide to policy responses with respect to adaptation strategies.

Knowledge Management for Development: Towards a Practical Approach for the Caribbean

This report proposes a framework for locating, collecting, creating, sharing and applying information and knowledge (from within and outside the subregion) for development purposes in the Caribbean subregion. The framework emphasizes the importance of protecting and tapping into the rich cultural heritage and traditional knowledge of the Caribbean to support its development. This knowledge management for development framework, advanced by ECLAC, is proposed for consideration in the design and implementation of both national policies and strategies, and communitylevel projects to support the achievement of the Millennium Development Goals and the overall sustainable development of the Caribbean subregion. It considers six main elements, namely inputs, processes and tools, outputs, pillars (on which all the above are built on), the environment or context in which this, like any other scheme, operates and the monitoring and evaluation of knowledge management initiatives. The approach draws from examples of models, frameworks and initiatives developed worldwide, with particular emphasis on those from Latin America and the Caribbean.

Workshop on public participation in international negotiations on environmental matters: Panel on environmental justice and access rights for sustainable development in Latin America and the Caribbean

This publication was prepared with financial support from the United Nations Development Account and the project “Addressing critical socio-environmental challenges in Latin America and the Caribbean ”

Fluazuron-induced morphological changes in Rhipicephalus sanguineus Latreille, 1806 (Acari: Ixodidae) nymphs: An ultra-structural evaluation of the cuticle formation and digestive processes

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

A cytochemical approach to describe oocyte development in the freshwater ostariophysan, Serrasalmus maculatus (Characiformes)

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

Development and characterization of microsatellite markers for Brazilian four-eyed frogs (genus Pleurodema) endemic to the Caatinga biome

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

Cover crops affecting levels of ammonium and nitrate in the soil and upland rice development

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes

Currently, mammalian cells are the most utilized hosts for biopharmaceutical production. The culture media for these cell lines include commonly in their composition a pH indicator. Spectroscopic techniques are used for biopharmaceutical process monitoring, among them, UV–Vis spectroscopy has found scarce applications. This work aimed to define artificial neural networks architecture and fit its parameters to predict some nutrients and metabolites, as well as viable cell concentration based on UV–Vis spectral data of mammalian cell bioprocess using phenol red in culture medium. The BHK-21 cell line was used as a mammalian cell model. Off-line spectra of supernatant samples taken from batches performed at different dissolved oxygen concentrations in two bioreactor configurations and with two pH control strategies were used to define two artificial neural networks. According to absolute errors, glutamine (0.13 ± 0.14 mM), glutamate (0.02 ± 0.02 mM), glucose (1.11 ± 1.70 mM), lactate (0.84 ± 0.68 mM) and viable cell concentrations (1.89 105 ± 1.90 105 cell/mL) were suitably predicted. The prediction error averages for monitored variables were lower than those previously reported using different spectroscopic techniques in combination with partial least squares or artificial neural network. The present work allows for UV–VIS sensor development, and decreases cost related to nutrients and metabolite quantifications.

Combining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamiraua Sustainable Development Reserve, Central Amazon floodplain, Brazil

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

Development of a simple method for determination of NO2 in air using digital scanner images

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Biology Teachers'Conceptions of the Diversity of Life and the Historical Development of Evolutionary Concepts

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

Ac2-26 mimetic peptide of annexin A1 inhibits local and systemic inflammatory processes induced by bothrops moojeni venom and the lys-49 phospholipase A2 in a rat model

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