Population, human resources and development planning: need for multisectoral institutional network for population policy implementation

Includes bibliography

Implications of unmet of family planning for policy and demographic impact: a comparative analysis of large countries

Includes bibliography

Conventional transport models in the analysis of institutional aspects of national transport planning

Includes bibliography

Population: human resources and development planning: need for multisectoral institutional network for population policy implementation

Includes bibliography

Needs assessment of economic planning units in gender analysis in selected Caribbean countries

Includes bibliography

Report of the planning meeting of partners of the Caribbean Information Societies Measurement Initiative

The Planning Meeting of Partners was organized jointly by the Economic Commission for Latin America and the Caribbean (ECLAC) Subregional Headquarters for the Caribbean, the Observatory for the Information Society in Latin America and the Caribbean (OSILAC - an ECLAC project supported by the International Development Research Centre (IDRC), the University of West Indies (UWI), St. Augustine Campus and the Telecommunications Policy and Management Programme, Mona School of Business at UWI, Jamaica. The Caribbean Information Societies Measurement Initiative (CISMI) is a component of the research proposal entitled “Networks for Development: The Caribbean ICT Research Programme”, recently submitted to IDRC for funding approval. The main objective of this programme is to “promote multi-stakeholder knowledge exchange and dialogue about the potential contribution of Information and Communications Technology for economic development and poverty alleviation in the Caribbean” The proposed budget for the CISMI component within the aforementioned proposal is US$ 150,000. The main objectives of the CISMI component are twofold: (a) to conduct a comprehensive Information and Communications Technology (ICT) survey in the Caribbean subregion to cover baseline information needs for studies and analysis from different partners involved in the construction of the Caribbean Information Societies; and (b) to analyze the household-level data, including the status of broadband and mobile usage in selected Caribbean countries in order to promote evidence-based policy planning and implementation with respect to ICT development and its impact on social and economic development in the subregion. The Planning Meeting of Partners was convened to: (a) discuss the CISMI component partnership arrangements, (b) discuss the design and implementation mechanisms of the survey instrument (questionnaire); (c) inform and engage potential key stakeholders; and (d) obtain information from potential service providers (survey companies). The Planning Meeting of Partners took place on 28 and 29 September 2009 in Port of Spain, Trinidad and Tobago.

Optimal Reactive Power Planning Using Risk Analysis

In this paper, the optimal reactive power planning problem under risk is presented. The classical mixed-integer nonlinear model for reactive power planning is expanded into two stage stochastic model considering risk. This new model considers uncertainty on the demand load. The risk is quantified by a factor introduced into the objective function and is identified as the variance of the random variables. Finally numerical results illustrate the performance of the proposed model, that is applied to IEEE 30-bus test system to determine optimal amount and location for reactive power expansion.

Analysis of Structural Integrity Using an ARTMAP-Fuzzy Artificial Neural Network

This paper presents the application of artificial neural networks in the analysis of the structural integrity of a building. The main objective is to apply an artificial neural network based on adaptive resonance theory, called ARTMAP-Fuzzy neural network and apply it to the identification and characterization of structural failure. This methodology can help professionals in the inspection of structures, to identify and characterize flaws in order to conduct preventative maintenance to ensure the integrity of the structure and decision-making. In order to validate the methodology was modeled a building of two walk, and from this model were simulated various situations (base-line condition and improper conditions), resulting in a database of signs, which were used as input data for ARTMAP-Fuzzy network. The results show efficiency, robustness and accuracy.

Strategic planning for dairy cattle: SWOT analysis applied to a property of a farmers' association in Dracena, São Paulo state, Brazil

The sector of milk production in Brazil is very heterogeneous (high-tech in large scale X family properties). This study aimed to develop a diagnostic as a basis for a strategic plan to face the challenges inherent in operating a dairy farm in property of a farmers' association in Dracena, São Paulo, Brazil. It was observed that the association needs a more efficient guidance in the marketing, production and finance areas, not to compromise the search for new markets and continued growth in activity.

Analysis of slow- and fast-alpha band asymmetry during performance of a saccadic eye movement task: Dissociation between memory- and attention-driven systems

This study aimed at analyzing the relationship between slow- and fast-alpha asymmetry within frontal cortex and the planning, execution and voluntary control of saccadic eye movements (SEM), and quantitative electroencephalography (qEEG) was recorded using a 20-channel EEG system in 12 healthy participants performing a fixed (i.e., memory-driven) and a random SEM (i.e., stimulus-driven) condition. We find main effects for SEM condition in slow- and fast-alpha asymmetry at electrodes F3-F4, which are located over premotor cortex, specifically a negative asymmetry between conditions. When analyzing electrodes F7-F8, which are located over prefrontal cortex, we found a main effect for condition in slow-alpha asymmetry, particularly a positive asymmetry between conditions. In conclusion, the present approach supports the association of slow- and fast-alpha bands with the planning and preparation of SEM, and the specific role of these sub-bands for both, the attention network and the coordination and integration of sensory information with a (oculo)-motor response. (C) 2011 Elsevier B.V. All rights reserved.

Hybrid Water Demand Forecasting Model Associating Artificial Neural Network with Fourier Series

This paper addressed the problem of water-demand forecasting for real-time operation of water supply systems. The present study was conducted to identify the best fit model using hourly consumption data from the water supply system of Araraquara, Sa approximate to o Paulo, Brazil. Artificial neural networks (ANNs) were used in view of their enhanced capability to match or even improve on the regression model forecasts. The ANNs used were the multilayer perceptron with the back-propagation algorithm (MLP-BP), the dynamic neural network (DAN2), and two hybrid ANNs. The hybrid models used the error produced by the Fourier series forecasting as input to the MLP-BP and DAN2, called ANN-H and DAN2-H, respectively. The tested inputs for the neural network were selected literature and correlation analysis. The results from the hybrid models were promising, DAN2 performing better than the tested MLP-BP models. DAN2-H, identified as the best model, produced a mean absolute error (MAE) of 3.3 L/s and 2.8 L/s for training and test set, respectively, for the prediction of the next hour, which represented about 12% of the average consumption. The best forecasting model for the next 24 hours was again DAN2-H, which outperformed other compared models, and produced a MAE of 3.1 L/s and 3.0 L/s for training and test set respectively, which represented about 12% of average consumption. DOI: 10.1061/(ASCE)WR.1943-5452.0000177. (C) 2012 American Society of Civil Engineers.

A bayesian network meta-analysis on comparisons of enamel matrix derivatives, guided tissue regeneration and their combination therapies

Aims: Guided tissue regeneration (GTR) and enamel matrix derivatives (EMD) are two popular regenerative treatments for periodontal infrabony lesions. Both have been used in conjunction with other regenerative materials. We conducted a Bayesian network meta-analysis of randomized controlled trials on treatment effects of GTR, EMD and their combination therapies. Material and Methods: A systematic literature search was conducted using the Medline, EMBASE, LILACS and CENTRAL databases up to and including June 2011. Treatment outcomes were changes in probing pocket depth (PPD), clinical attachment level (CAL) and infrabony defect depth. Different types of bone grafts were treated as one group and so were barrier membranes. Results: A total of 53 studies were included in this review, and we found small differences between regenerative therapies which were non-significant statistically and clinically. GTR and GTR-related combination therapies achieved greater PPD reduction than EMD and EMD-related combination therapies. Combination therapies achieved slightly greater CAL gain than the use of EMD or GTR alone. GTR with BG achieved greatest defect fill. Conclusion: Combination therapies performed better than single therapies, but the additional benefits were small. Bayesian network meta-analysis is a promising technique to compare multiple treatments. Further analysis of methodological characteristics will be required prior to clinical recommendations.