Social and economic factors affecting population trends in Latin America

Includes bibliography

A framework for considering social and economic processes affecting fertility in Latin America

Includes bibliography

Potentials of e-Health in the social and epidemiological context of Latin America and the Caribbean

Includes bibliography

Desastre natural de marzo de 1987 en el Ecuador y sus repercusiones sobre el desarrollo económico y social = Natural disaster of March 1987 in Ecuador and its impact on social and economic development

Incluye Bibliografía

The use of databases of social and gender statistics in the development of policies and programmes

The unavailability of data to inform policy planning and formulation has been repeatedly cited as the main challenge to economic and social progress in the Caribbean. Furthermore, even in instances when data is produced, broader gaps exist between its production and eventual use for evidence-based policy formulation. Owing to those challenges, this report explores the use of databases of social and gender statistics in the development of policies and programmes in the Caribbean subregion. The report offers a general appraisal of databases against two main considerations: (i) maximizing the use of existing databases in relevant policies and programmes; and (ii) bridging the gaps in data availability of relevant statistical databases and their analyses. The assessment entailed an inventory of social and gender databases maintained by data producers in the region and analysis of the extent to which the databases are used for policy formulation. To that end, a literature search as well as consultations with a number of knowledgeable persons active in the field of statistics and data provision was conducted. Based on the review, a set of recommendations were produced to improve current practices within the region with respect evidence based policy formulation.

Report of the training workshop on the ECLAC methodology for assessing the macroeconomic, social and environmental impacts of natural disasters

.--Attendance.--Opening.--Agenda.--Special aspects of disasters in the context of small island States in the Caribbean.--Methodological and conceptual aspects of assessment.--Sector evaluation.--Infrastructure.--Economic (productive) sectors.--Information systems.--Effects of damages.--Institutional capacity.--Definition of the reconstruction strategy.--Closing remarks by presenters of the methodology.--Feedback, critique and comments on the ECLAC methodology.--Disaster assessment experiences.--Policy implications.--Follow-up.

The cost of hunger: Social and economic impact of child undernutrition in the Plurinational State of Bolivia, Ecuador, Paraguay and Peru

The Economic Commission for Latin America and the Caribbean (ECLAC) jointly with the World Program of Food (WFP) and recognized experts of the region developed a methodology that, using secondary information, estimate the opportunity cost derived from undernutrition. This methodology has been successfully applied in Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama and the Dominican Republic, where the cost of undernutrition was estimated at 6.7 billion dollars in 2004. The present study covers four countries in South America: Bolivia, Ecuador, Paraguay and Peru. The results indicate that the cost of the malnutrition in these countries reached 4.3 billion dollars in 2005, which is equivalent to 3.3 per cent of the GDP of these countries. The results strongly point out that child undernutrition is not only a problem of health or an unacceptable situation ethically, but it is a national problem, given the enormous social costs and the loss of opportunities that it imposes on the national economy.

The cost of hunger: Social and economic impact of child undernutrition in Central America and the Dominican Republic

This document presents the results derived from the analyses of the cost of undernutrition in Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama and the Dominican Republic. The study shows that not only are the effects reported valid for the countries of Central America and the Dominican Republic, but the resultant economic impact is also significant, representing between 1.7% and 11.4% of GDP. In this regard, productivity losses as a consequence of the higher death rate and the lower level of education account for 90% of the costs. Thus, in addition to the ethical imperative, eradicating undernutrition would yield benefits as well. Therefore, any programme that is effective in reducing the prevalence of this problem will have an impact on people's quality of life, and will also represent major savings for society. The greater the problem, the greater the challenge, but the greater the benefits as well, especially in terms of countries' production capacity.

Tool Condition Monitoring of Single-Point Dresser Using Acoustic Emission and Neural Networks Models

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

Tool condition monitoring of aluminum oxide grinding wheel in dressing operation using acoustic emission and neural networks

The grinding operation gives workpieces their final finish, minimizing surface roughness through the interaction between the abrasive grains of a tool (grinding wheel) and the workpiece. However, excessive grinding wheel wear due to friction renders the tool unsuitable for further use, thus requiring the dressing operation to remove and/or sharpen the cutting edges of the worn grains to render them reusable. The purpose of this study was to monitor the dressing operation using the acoustic emission (AE) signal and statistics derived from this signal, classifying the grinding wheel as sharp or dull by means of artificial neural networks. An aluminum oxide wheel installed on a surface grinding machine, a signal acquisition system, and a single-point dresser were used in the experiments. Tests were performed varying overlap ratios and dressing depths. The root mean square values and two additional statistics were calculated based on the raw AE data. A multilayer perceptron neural network was used with the Levenberg-Marquardt learning algorithm, whose inputs were the aforementioned statistics. The results indicate that this method was successful in classifying the conditions of the grinding wheel in the dressing process, identifying the tool as "sharp''(with cutting capacity) or "dull''(with loss of cutting capacity), thus reducing the time and cost of the operation and minimizing excessive removal of abrasive material from the grinding wheel.

Effects of repetitive transcranial magnetic stimulation on clinical, social, and cognitive performance in postpartum depression

Background: This randomized, placebo-controlled, double-blind pilot study evaluated the impact of repetitive transcranial magnetic stimulation (rTMS) on clinical, cognitive, and social performance in women suffering with postpartum depression. Methods: Fourteen patients were randomized to receive 20 sessions of sham rTMS or active 5 Hz rTMS over the left dorsolateral prefrontal cortex. Psychiatric clinical scales and a neuropsychological battery were applied at baseline (pretreatment), week 4 (end of treatment), and week 6 (follow-up, posttreatment week 2). Results: The active rTMS group showed significant improvement 2 weeks after the end of rTMS treatment (week 6) in Hamilton Depression Rating Scale (P = 0.020), Global Assessment Scale (P = 0.037), Clinical Global Impression (P = 0.047), and Social Adjustment Scale-Self Report-Work at Home (P = 0.020). Conclusion: This study suggests that rTMS has the potential to improve the clinical condition in postpartum depression, while producing marginal gains in social and cognitive function.

Job satisfaction and discrepancies between social and biological timing

The discrepancies between social and biological timing are reflected in shift workers' well-being. The aim of this study was to verify the association between job satisfaction and chronotype among day and night nursing personnel. Several variables, including seniority at the hospital and, in the same shift, sleep duration, quality of sleep, sleepiness and willingness to change sleep timing were also analyzed. Chronotype was calculated by using the morningness-eveningness questionnaire. We studied 514 nursing professionals from a public university hospital. Among the day workers, the higher the morningness, the more the workers were satisfied with their job. In contrast, among night workers, job satisfaction was associated with sleep quality and seniority at the hospital but not with chronotype. Our results suggest that an agreement between work schedule and chronotype may help to increase job satisfaction among diurnal workers.

Management and routing algorithms for ad-hoc and sensor networks

Large scale wireless adhoc networks of computers, sensors, PDAs etc. (i.e. nodes) are revolutionizing connectivity and leading to a paradigm shift from centralized systems to highly distributed and dynamic environments. An example of adhoc networks are sensor networks, which are usually composed by small units able to sense and transmit to a sink elementary data which are successively processed by an external machine. Recent improvements in the memory and computational power of sensors, together with the reduction of energy consumptions, are rapidly changing the potential of such systems, moving the attention towards datacentric sensor networks. A plethora of routing and data management algorithms have been proposed for the network path discovery ranging from broadcasting/floodingbased approaches to those using global positioning systems (GPS). We studied WGrid, a novel decentralized infrastructure that organizes wireless devices in an adhoc manner, where each node has one or more virtual coordinates through which both message routing and data management occur without reliance on either flooding/broadcasting operations or GPS. The resulting adhoc network does not suffer from the deadend problem, which happens in geographicbased routing when a node is unable to locate a neighbor closer to the destination than itself. WGrid allow multidimensional data management capability since nodes' virtual coordinates can act as a distributed database without needing neither special implementation or reorganization. Any kind of data (both single and multidimensional) can be distributed, stored and managed. We will show how a location service can be easily implemented so that any search is reduced to a simple query, like for any other data type. WGrid has then been extended by adopting a replication methodology. We called the resulting algorithm WRGrid. Just like WGrid, WRGrid acts as a distributed database without needing neither special implementation nor reorganization and any kind of data can be distributed, stored and managed. We have evaluated the benefits of replication on data management, finding out, from experimental results, that it can halve the average number of hops in the network. The direct consequence of this fact are a significant improvement on energy consumption and a workload balancing among sensors (number of messages routed by each node). Finally, thanks to the replications, whose number can be arbitrarily chosen, the resulting sensor network can face sensors disconnections/connections, due to failures of sensors, without data loss. Another extension to {WGrid} is {W*Grid} which extends it by strongly improving network recovery performance from link and/or device failures that may happen due to crashes or battery exhaustion of devices or to temporary obstacles. W*Grid guarantees, by construction, at least two disjoint paths between each couple of nodes. This implies that the recovery in W*Grid occurs without broadcasting transmissions and guaranteeing robustness while drastically reducing the energy consumption. An extensive number of simulations shows the efficiency, robustness and traffic road of resulting networks under several scenarios of device density and of number of coordinates. Performance analysis have been compared to existent algorithms in order to validate the results.