Epidemiologia das doenças negligenciadas no Brasil e gastos federais com medicamentos

The World Health Organization (WHO) and Medecins Sans Frontieres recently have proposed the term neglected diseases, referring to those that have a higher occurrence in the developing countries and most neglected, exclusive of developing countries. Leishmaniasis, Chagas disease, trachoma, leprosy, malaria, and various parasites are just some examples of neglected diseases. Given the importance of combating these diseases as a tool on promotion of social and economic development, and in order to support the discussion of the policy on Research and Development (R&D) of medicines in Brazil, this study evaluates the epidemiological situation of neglected diseases with higher prevalence in Brazil. It also analyzes the federal government spending on medicines to treat those diseases, identifying the drugs, dosage forms and their respective costs in the period 2005 to 2008. In this sense, it is observed that despite the high incidence of neglected diseases in Brazil, spending of the Ministry of Health on medicines for the pharmaceutical assistance programs for neglected diseases is scarce if compared to spending on other programs, such as AIDS, for example. It is believed that it reflects the lack of new drugs for the treatment of neglected diseases, that would be, therefore, subject to patent protection, and, consequently, more expensive. On the other hand, Brazil is one of the developing countries that invests more on research of new treatments for neglected diseases. As it has been done on other countries, it could be proposed Public Private Partnerships (PPPs) for R&D on neglected diseases in Brazil, once this country is directly interested in the possible products of such partnerships and has the technical capability to do so

Proliferation of \u3cem\u3eChondrodonta\u3c/em\u3e as a Proxy of Environmental Instability at the Onset of OAE1a: Insights from Shallow-Water Limestones of the Apulia Carbonate Platform

Chondrodonta is an opportunistic, oyster-like bivalve, common in shallow-water carbonates of the Cretaceous Tethyan Realm. Despite its high abundance and widespread geographic distribution, the precise relationship between the early Aptian proliferation and environmental perturbations resulting from the Oceanic Anoxic Event 1a (OAE1a), has not been investigated. Stratigraphic and geochemical analyses of the lower Aptian Chondrodonta bedsets within the inner platform limestones of the Apulia Carbonate Platform (Gargano Promontory, southern Italy) are conducted to assess the environmental controls on the Chondrodonta proliferation and its timing and causal relationship to OAE1a. Chondrodonta occurs with sparse to common individuals within requieniid rudist floatstone–rudstones, forms monospecific biostromes during the early phase of stressed environmental conditions and then rapidly disappears at the peak of OAE1a. It proliferates in dysoxic seawater with relatively increased trophic sources, which correlate to increasing nutrient levels in the nearby pelagic realm. Chondrodonta-rich beds are associated worldwide with the onset of OAE1a and occur in a transitional context between a stable and a strongly stressed environment, where the opportunistic behaviour of Chondrodonta is rather efficient. Increasing nutrient load and unstable environmental conditions right below the peak of OAE1a created an environmental ‘window’ favourable for Chondrodonta to proliferate, outplaying the less tolerant benthos (for example, rudists). The occurrence, duration and position of the environmental window were controlled by local palaeogeographic and hydrodynamic settings (i.e. low energy, decreased seawater oxygenation and circulation). Further increase in inhospitable conditions, leading to OAE1a, constituted an upper threshold for Chondrodonta and allowed mesotrophic taxa like Bacinella–Lithocodium and orbitolinids to dominate the benthic communities. The present study suggests that the proliferation of Chondrodonta in shallow-water platform carbonates can be used as proxy for the initial phase of ecological stress related to OAE1a

Organic carbon content and carbon isotope variations across the Permo-Triassic boundary in the Gartnerkofel-1 borehole, Carnic Alps, Austria

The Gartnerkofel borehole is one of the most thoroughly studied and described Permo-Triassic sections in the world. Detailed bulk organic carbon isotope studies show a negative base shift from − 24‰ to − 28‰ in the Latest Permian which latter value persists into the Earliest Triassic after which it decreases slightly to − 26‰. Two strongly negative peaks of > − 38‰ in the Latest Permian and a lesser peak of − 31‰ in the Early Triassic are too negative to be due to a greater proportion of more negative organic matter and must be due to very negative methane effects. The overall change to more negative values across the Bulla/Tesero boundary fits the relative rise in sea level for this transition based on the facies changes. A positive shift in organic carbon isotope values at the Late Permian Event Horizon may be due to an increase in land-derived organic detritus at this level—a feature shown by all Tethyan Permo-Triassic boundary sections though these other sections do not have the same values. Carbonate carbon isotope trends are similar in all sections dropping by 2–3 units across the Permo-Triassic boundary. Gartnerkofel carbonate oxygen values are surprisingly, considering the ubiquitous dolomitization, compatible with values elsewhere and indicate reasonable tropical temperatures of 60 °C in the Latest Permian sabkhas to 20–40 °C in the overlying marine transition beds. Increased land-derived input at the Late Permian Event Horizon may be due to offshore transport by tsunamis whose deposits have been recognized in India at this level

Solving maximum independent set by asynchronous distributed hopfield-type neural networks

We propose a heuristic for solving the maximum independent set problem for a set of processors in a network with arbitrary topology. We assume an asynchronous model of computation and we use modified Hopfield neural networks to find high quality solutions. We analyze the algorithm in terms of the number of rounds necessary to find admissible solutions both in the worst case (theoretical analysis) and in the average case (experimental Analysis). We show that our heuristic is better than the greedy one at 1% significance level