Large prebiotic molecules in space: photo-physics of acetic acid and its isomers

An increasing number of large molecules have been positively identified in space. Many of these molecules are of biological interest and thus provide insight into prebiotic organic chemistry in the protoplanetary nebula. Among these molecules, acetic acid is of particular importance due to its structural proximity to glycine, the simplest amino acid. We compute electronic and vibrational properties of acetic acid and its isomers, methyl formate and glycolaldehyde, using density functional theory. From computed photo-absorption cross-sections, we obtain the corresponding photo-absorption rates for solar radiation at 1 AU and find them in good agreement with previous estimates. We also discuss glycolaldehyde diffuse emission in Sgr B2(N), as opposite to emissions from methyl formate and acetic acid that appear to be concentrate in the compact region Sgr B2(N-LMH).Comment: 8 pages, 5 figure

Bio-hythane production from food waste by dark fermentation coupled with anaerobic digestion process: A long-term pilot scale experience

In this paper are presented the results of the investigation on optimal process operational conditions of thermophilic dark fermentation and anaerobic digestion of food waste, testing a long term run, applying an organic loading rate of 16.3 kgTVS/m3d in the first phase and 4.8 kgTVS/m3d in the second phase. The hydraulic retention times were maintained at 3.3 days and 12.6 days, respectively, for the first and second phase. Recirculation of anaerobic digested sludge, after a mild solid separation, was applied to the dark fermentation reactor in order to control the pH in the optimal hydrogen production range of 5-6. It was confirmed the possibility to obtain a stable hydrogen production, without using external chemicals for pH control, in a long term test, with a specific hydrogen production of 66.7 l per kg of total volatile solid (TVS) fed and a specific biogas production in the second phase of 0.72 m3 per kgTVS fed; the produced biogas presented a typical composition with a stable presence of hydrogen and methane in the biogas mixture around 6 and 58%, respectively, carbon dioxide being the rest

Algoritmos de layout automático para una herramienta multi-vistas de modelado ontológico

La presente investigación se desarrolla mediante el trabajo de docentes investigadores de la Universidad Nacional del Comahue (UNCo) y de la Universidad Nacional del Sur (UNS), en el contexto de proyectos de investigación financiados por las universidades indicadas. La complejidad inherente a los modelos conceptuales y a las ontologías requiren mantener la legibilidad de dichos modelos. Para cubrir esta necesidad y, teniendo en cuenta el tamaño de los diagramas en términos de sus primitivas gráficas, algoritmos efectivos y eficientes de layout deben ser desarrollados para garantizar la usabilidad de las herramientas. El objetivo de esta línea de investigación es analizar, diseñar e implementar algoritmos de layout en una herramienta gráfica Web. Para esto, se profundizará en técnicas y heurísticas de visualización basadas en la teoría de Crossing Number y sus variantes, aplicado a los lenguajes EER, UML y ORM 2

Algoritmos de layout automático para una herramienta multi-vistas de modelado ontológico

La presente investigación se desarrolla mediante el trabajo de docentes investigadores de la Universidad Nacional del Comahue (UNCo) y de la Universidad Nacional del Sur (UNS), en el contexto de proyectos de investigación financiados por las universidades indicadas. La complejidad inherente a los modelos conceptuales y a las ontologías requiren mantener la legibilidad de dichos modelos. Para cubrir esta necesidad y, teniendo en cuenta el tamaño de los diagramas en términos de sus primitivas gráficas, algoritmos efectivos y eficientes de layout deben ser desarrollados para garantizar la usabilidad de las herramientas. El objetivo de esta línea de investigación es analizar, diseñar e implementar algoritmos de layout en una herramienta gráfica Web. Para esto, se profundizará en técnicas y heurísticas de visualización basadas en la teoría de Crossing Number y sus variantes, aplicado a los lenguajes EER, UML y ORM 2.Eje: Ingeniería en Sistemas Software.Red de Universidades con Carreras en Informátic

The Atlas of human African trypanosomiasis: a contribution to global mapping of neglected tropical diseases

<p>Abstract</p> <p>Background</p> <p>Following World Health Assembly resolutions 50.36 in 1997 and 56.7 in 2003, the World Health Organization (WHO) committed itself to supporting human African trypanosomiasis (HAT)-endemic countries in their efforts to remove the disease as a public health problem. Mapping the distribution of HAT in time and space has a pivotal role to play if this objective is to be met. For this reason WHO launched the HAT Atlas initiative, jointly implemented with the Food and Agriculture Organization of the United Nations, in the framework of the Programme Against African Trypanosomosis.</p> <p>Results</p> <p>The distribution of HAT is presented for 23 out of 25 sub-Saharan countries having reported on the status of sleeping sickness in the period 2000 - 2009. For the two remaining countries, i.e. Angola and the Democratic Republic of the Congo, data processing is ongoing. Reports by National Sleeping Sickness Control Programmes (NSSCPs), Non-Governmental Organizations (NGOs) and Research Institutes were collated and the relevant epidemiological data were entered in a database, thus incorporating (i) the results of active screening of over 2.2 million people, and (ii) cases detected in health care facilities engaged in passive surveillance. A total of over 42 000 cases of HAT and 6 000 different localities were included in the database. Various sources of geographic coordinates were used to locate the villages of epidemiological interest. The resulting average mapping accuracy is estimated at 900 m.</p> <p>Conclusions</p> <p>Full involvement of NSSCPs, NGOs and Research Institutes in building the Atlas of HAT contributes to the efficiency of the mapping process and it assures both the quality of the collated information and the accuracy of the outputs. Although efforts are still needed to reduce the number of undetected and unreported cases, the comprehensive, village-level mapping of HAT control activities over a ten-year period ensures a detailed and reliable representation of the known geographic distribution of the disease. Not only does the Atlas serve research and advocacy, but, more importantly, it provides crucial evidence and a valuable tool for making informed decisions to plan and monitor the control of sleeping sickness.</p

A Spatio-temporal Model of African Animal Trypanosomosis Risk

[b]Background[/b]African animal trypanosomosis (AAT) is a major constraint to sustainable development of cattle farming in sub-Saharan Africa. The habitat of the tsetse fly vector is increasingly fragmented owing to demographic pressure and shifts in climate, which leads to heterogeneous risk of cyclical transmission both in space and time. In Burkina Faso and Ghana, the most important vectors are riverine species, namely Glossina palpalis gambiensis and G. tachinoides, which are more resilient to human-induced changes than the savannah and forest species. Although many authors studied the distribution of AAT risk both in space and time, spatio-temporal models allowing predictions of it are lacking.[b]Methodology/Principal Findings[/b]We used datasets generated by various projects, including two baseline surveys conducted in Burkina Faso and Ghana within PATTEC (Pan African Tsetse and Trypanosomosis Eradication Campaign) national initiatives. We computed the entomological inoculation rate (EIR) or tsetse challenge using a range of environmental data. The tsetse apparent density and their infection rate were separately estimated and subsequently combined to derive the EIR using a "one layer-one model" approach. The estimated EIR was then projected into suitable habitat. This risk index was finally validated against data on bovine trypanosomosis. It allowed a good prediction of the parasitological status (r(2) = 67%), showed a positive correlation but less predictive power with serological status (r(2) = 22%) aggregated at the village level but was not related to the illness status (r(2) = 2%).[b]Conclusions/Significance[/b]The presented spatio-temporal model provides a fine-scale picture of the dynamics of AAT risk in sub-humid areas of West Africa. The estimated EIR was high in the proximity of rivers during the dry season and more widespread during the rainy season. The present analysis is a first step in a broader framework for an efficient risk management of climate-sensitive vector-borne diseases