Molecular identification of fungi microfossils in a Neoproterozoic shale rock.

Precambrian fossils of fungi are sparse, and the knowledge of their early evolution and the role they played in the colonization of land surface are limited. Here, we report the discovery of fungi fossils in a 810 to 715 million year old dolomitic shale from the Mbuji-Mayi Supergroup, Democratic Republic of Congo. Syngenetically preserved in a transitional, subaerially exposed paleoenvironment, these carbonaceous filaments of ~5 µm in width exhibit low-frequency septation (pseudosepta) and high-angle branching that can form dense interconnected mycelium-like structures. Using an array of microscopic (SEM, TEM, and confocal laser scanning fluorescence microscopy) and spectroscopic techniques (Raman, FTIR, and XANES), we demonstrated the presence of vestigial chitin in these fossil filaments and document the eukaryotic nature of their precursor. Based on those combined evidences, these fossil filaments and mycelium-like structures are identified as remnants of fungal networks and represent the oldest, molecularly identified remains of Fungi.

Determinants of catastrophic health expenditure in iran.

BACKGROUND: This study will provide detailed specification of those variables and determinants of unpredictable health expenditure in Iran, and the requirements to reduce extensive effects of the factors affecting households' payments for health and other goods and services inappropriately. METHOD: This study aims to identify measures of fair financing of health services and determinants of fair financing contribution, regarding the required share of households that prevents their catastrophic payments. In this regard, analysis of shares of households' expenditures on main groups of goods and services in urban and rural areas and in groups of deciles in the statistics from households' expenditure surveys was applied. RESULTS: The growth of spending in nominal values within the years 2002-2008 was considerably high and the rate for out-of-pocket payments is nearly the same or greater than the rate for total health expenditure. In 2008, urban and rural households in average pay 6.4% and 6.35% of their total expenditure on health services. Finally three categories of determinants of unfair and catastrophic payments by households were recognized in terms of households' socio-economic status, equality/inequality conditions of the distribution of risk of financing, and economic aspects of health expenditure distribution. CONCLUSION: While extending the total share of government and prepayment sources of financing health services are considered as the simplest policy for limiting out-of-pocket payments, indicators and policies introduced in this study could also be considered important and useful for the development of health sector and easing access to health services, irrespective of health financing fairness.

A new expertness index for assessment of secondary structure prediction engines.

Improvement of prediction accuracy of the protein secondary structure is essential for further developments of the whole field of protein research. In this paper, the expertness of protein secondary structure prediction engines has been studied in three levels and a new criterion has been introduced in the third level. This criterion could be considered as an extension of the previous ones based on amino acid index. Using this new criterion, the expertness of some high score secondary structure prediction engines has been reanalyzed and some hidden facts have been discovered. The results of this new assessment demonstrated that a noticeable harmony has been existed among each amino acid prediction behavior in all engines. This harmony has also been seen between single global propensity and prediction accuracy of amino acid types in each secondary structure class. Moreover, it is shown that Proline and Glycine amino acids have been predicted with less accuracy in alpha helices and beta strands. In addition, regardless of different approaches used in prediction engines, beta strands have been predicted with less accuracy.