263,398 research outputs found
Expediciones Boyacá Bio. Resultados, retos y oportunidades.
No full textEste libro surge como resultado del trabajo que realizaron conjuntamente científicos, comunidades locales e instituciones en el proyecto Expediciones Boyacá Bio y sintetiza los principales hallazgos de interés particular para los tomadores de decisiones del departamento. El contenido se divide en cuatro capítulos principales, el primer capítulo se centra en el estado del conocimiento sobre la biodiversidad del departamento, en el segundo capítulo se sintetizan los resultados del reconocimiento de la biodiversidad y los servicios ecositémicos a partir de los componentes biológico y de ciencia participativa de las 17 expediciones desarrolladas. El tercer capítulo presenta un
ejercicio de priorización de especies para la conservación e investigación genética y el cuarto capítulo, un ejercicio de priorización de áreas para la investigación ecológica y la conservación, realizado a partir de un análisis de diversidad filogenética, de conectividad espacial y de dinámica de transformación del paisaje.
Los resultados presentados en el segundo capítulo provienen de 17 expediciones desarrolladas en 12 zonas del departamento y 24 municipios. Tienen como fin complementar el conocimiento de la biodiversidad que constituyen los ecosistemas estudiados: zonas de alta montaña –particularmente páramos, bosques y lagos y lagunas altoandinas–, zonas secas –principalmente áreas de alta elevación con vegetación subxerofítica–, y bosques
húmedos premontanos y tropicales. Las expediciones realizadas se clasificaron en cuatro tipos
GeneFisher-P: variations of GeneFisher as processes in Bio-jETI
No full textLamprecht A-L, Margaria T, Steffen B, Sczyrba A, Hartmeier S, Giegerich R. GeneFisher-P: variations of GeneFisher as processes in Bio-jETI. BMC Bioinformatics. 2008;9(Suppl 4): S13.Background: PCR primer design is an everyday, but not trivial task requiring state-of-the-art software. We describe the popular tool GeneFisher and explain its recent restructuring using workflow techniques. We apply a service-oriented approach to model and implement GeneFisher-P, a process-based version of the GeneFisher web application, as a part of the Bio-jETI platform for service modeling and execution. We show how to introduce a flexible process layer to meet the growing demand for improved user-friendliness and flexibility. Results: Within Bio-jETI, we model the process using the jABC framework, a mature model-driven, service-oriented process definition platform. We encapsulate remote legacy tools and integrate web services using jETI, an extension of the jABC for seamless integration of remote resources as basic services, ready to be used in the process. Some of the basic services used by GeneFisher are in fact already provided as individual web services at BiBiServ and can be directly accessed. Others are legacy programs, and are made available to Bio-jETI via the jETI technology. The full power of service-based process orientation is required when more bioinformatics tools, available as web services or via jETI, lead to easy extensions or variations of the basic process. This concerns for instance variations of data retrieval or alignment tools as provided by the European Bioinformatics Institute (EBI). Conclusions: The resulting service- and process-oriented GeneFisher-P demonstrates how basic services from heterogeneous sources can be easily orchestrated in the Bio-jETI platform and lead to a flexible family of specialized processes tailored to specific tasks
Some investigations concerning the CTMC and the ODE model derived from Bio-PEPA
No full text<p>Bio-PEPA is a recently defined language for the modelling and analysis of biochemical networks. It supports an abstract style of modelling, in which discrete levels of concentration within a species are considered instead of individual molecules. A finer granularity for the system corresponds to a smaller concentration step size and therefore to a greater number of concentration levels. This style of model is amenable to a variety of different analysis techniques, including numerical analysis based on a CMTC with states reflecting the levels of concentration.</p>
<p>In this paper we present a formal definition of the CTMC with levels derived from a Bio-PEPA system. Furthermore we investigate the relationship between this CTMC and the system of ordinary differential equations (ODEs) derived from the same model. Using Kurtz's theorem, we show that the set of ODEs derived from the Bio-PEPA model is able to capture the limiting behaviour of the CTMC obtained from the same system. Finally, we define an empirical methodology to find the granularity of the Bio-PEPA system for which the ODE and the CTMC with levels are in a good agreement. The proposed definition is based on a notion of distance between the two models. We demonstrate our approach on a model of the Repressilator, a simple biochemical network with oscillating behaviour.</p>
scikit-bio/scikit-bio: scikit-bio 0.6.0
No full text<p>We are excited to announce scikit-bio 0.6.0!</p>
<p>This release introduces significant enhancements and features, including the launch of a new website, the addition of new modules, classes and algorithms, and support for the latest versions of Python and SciPy. This release also includes various optimizations, bug fixes, and documentation improvements, making it a substantial upgrade for users and developers alike.</p>
<p><strong>Release highlights:</strong></p>
<ul>
<li>Launched a new scikit-bio website (scikit.bio) with improved design and documentation.</li>
<li>Added a data table module and support for BIOM tables.</li>
<li>Added a sample metadata class and support for numeric and categorical columns.</li>
<li>Enhanced biological sequence operations, including alphabet, substitution matrix and index conversion.</li>
<li>Implemented a differential abundance test using Dirichilet multinomial distribution, which mirrors ALDEx2.</li>
<li>Implemented generalized phylogenetic alpha diversity metrics.</li>
<li>Adopted NumPy's new random generator to enable reproducible analysis.</li>
<li>Support for Python 3.12+ and SciPy 1.11+.</li>
<li>Improvements of performance, robustness and usability in various functionality.</li>
</ul>
<p>Review the <a href="https://github.com/biocore/scikit-bio/blob/main/CHANGELOG.md#version-060">changelog</a> for a complete list of the changes. Browse the <a href="https://scikit.bio/docs/0.6.0/index.html">documentation</a> to learn about what you can do with scikit-bio. Follow <a href="https://twitter.com/scikitbio">@scikitbio</a> for project updates. Thanks for your interest in scikit-bio!</p>
Determinants of Chilean youth voter registration: Evidence for the Bio Bio region
No full textYouth voter registration is a worldwide phenomenon that exhibits a marked decline over the last two decades. On this basis, this article presents evidence regarding those factors that determine the voter registration of Chilean youth, in particular, the inhabitants of Bio Bio region. The methodology uses a linear model, proposed by Silberman and Durden (1975), which considers a relationship between voter registration and several social/economic variables. The model is estimated using a dynamic panel for the Bio Bio region, which includes its 54 communes and 10 planning territories for the years 2003 and 2009. The results indicate that, at commune level, the main determinants of youth voter registration are citizen participation and poverty rates, while ethnic aspects are also affecting female voter registration, and only citizen participation rate has some influence over male voter registration. Finally, at territory level, the results show that citizen participation rate is a cross determinant of youth voter registration in the Bio Bio region.citizen participation; panel data; unobserved effects model; voter registration
Estudo da produção de bio-óleo a partir da pirólise de lodos sanitários
No full textDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Química, Florianópolis, 2015Devido ao aumento da produção do lodo nos últimos anos, e limitações dos meios de descarte deste resíduo, surge a necessidade de encontrar rotas alternativas para sua utilização. Dentre as tecnologias que visam seu aproveitamento energético, destacam-se a combustão, a gaseificação e a pirólise. Entre estas rotas, a pirólise tem recebido maior atenção, devido seu principal produto ser o bio-óleo, que pode ser utilizado na produção de combustíveis líquidos e outros produtos químicos. O objetivo deste trabalho foi estudar a pirólise de um lodo anaeróbio e outro aeróbio, em escala laboratorial, em um reator tubular de quartzo, visando a obtenção de um bio-óleo, no qual os maiores desafios são gerar produtos que sejam atóxicos e de alto poder energético. Análises termogravimétricas foram realizadas previamente para determinação do comportamento térmico das amostras e definição de variáveis da pirólise. As pirólises foram realizadas em reator tubular, na temperatura de 350 e 550 °C, mantendo-se um fluxo constante de 300 mL.min-1 de nitrogênio. As amostras de bio-óleo foram coletadas em cartuchos PUF/XAD-2/PUF, sendo extraídas na sequência com diclorohexano/acetona (1:1, v/v) e analisadas por cromatografia gasosa acoplada a espectroscopia de massas. As amostras gasosas foram coletadas em Tedlar bags e analisadas por cromatografia gasosa (FID/TCD). O char final de cada pirólise foi submetido ao ensaio de análise imediata, e um balanço de massa do processo foi realizado. Na análise dos gases não condensáveis foram encontrados hidrogênio, dióxido de carbono, monóxido de carbono e metano. O resultado da análise do bio-óleo mostrou que pirólises realizadas na temperatura de 350 °C apresentaram alto teor de compostos alifáticos o que torna estas condições interessantes no que diz respeito à produção de combustíveis a partir do bio-óleo. O aumento da temperatura de pirólise apresentou maior teor de compostos voláteis complexos, no entanto, favoreceu a produção de bio-óleo, mostrando a importância da caracterização do bio-óleo para determinar suas melhores aplicações. De forma geral, o processo de pirólise dos lodos sanitários mostrou-se eficiente na formação de bio-óleo, o que é um resultado muito atraente, pois esse produto tem grande valor econômico.Abstract : Due to increased sludge production in recent years, and limitations of this waste disposal facilities, the need arises to find alternative routes to use. Among the technologies aimed their energy use, combustion, gasification and pyrolysis are used. Among these routes, pyrolysis has received more attention because its main product is bio-oil, which can be used to produce liquid fuels. The objective of this work was to study the pyrolysis of an anaerobic sludge and other aerobic, in laboratory scale, in a tubular reactor of quartz, in order to obtain a bio-oil, in which the major challenges are to generate product that is non-toxic and high energy power. Thermogravimetric analyzes were performed previously to determine the thermal behavior of the samples and definition of variables pyrolysis. The pyrolysis was performed in a tubular reactor, at a temperature of 350 to 550 ° C, maintaining a constant flow rate of 300 ml min-1 of nitrogen. The samples of bio-oil were collected in PUF/ XAD-2 /PUF cartridge being extracted in sequence with dichlorohexane/acetone (1:1, v/v) and analyzed by gas chromatography-mass spectroscopy. The gas samples were collected in Tedlar bags and analyzed by gas chromatography (FID/TCD). The end of each pyrolysis char was submitted to immediate analysis test, and a mass balance of the process was carried out. In the analysis of non-condensable gases were found hydrogen, carbon dioxide, carbon monoxide and methane. The result of the analysis of bio-oil showed that pyrolysis carried out at a temperature of 350 ° C had a high content of aliphatic compounds and lower content of aromatics and PAHs, which makes these more interesting conditions with respect to production of fuel from bio-oil. However, increasing the pyrolysis temperature favors the production of bio-oil, showing the importance of the characterization of the bio-oil applications to determine their best. In general, the pyrolysis process of sanitary sludge proved to be efficient in the formation of bio-oil, which is a very attractive result, since this product has great economic value
scikit-bio: scikit-bio 0.5.0: Python 3 only release
No full text<p>We're very excited to announce scikit-bio 0.5.0. <strong>scikit-bio is no longer compatible with Python 2. scikit-bio is compatible with Python 3.4 and later.</strong> This is a maintenance release containing a number of bug fixes and minor improvements.</p>
<p>You can review the <a href="https://github.com/biocore/scikit-bio/blob/master/CHANGELOG.md#version-050-2016-06-14">CHANGELOG.md</a> for a complete description of the changes in this release. To learn about what you can do with scikit-bio, you should browse <a href="http://scikit-bio.org/docs/latest/index.html">our (awesome!) API documentation</a>.</p>
<p>Be sure to <a href="http://twitter.com/scikitbio">follow @scikitbio on twitter</a> for project updates, and as always, thanks for your interest in scikit-bio!</p>
Bio-Wire
No full textDesign of a semiconducting Bio-Wire developed from Silane Self-Assembled Monolayers, Neutravidin bio-films, and Carbon nanomaterials. The development of Self-Assembled Monolayers and highly specific Neutravidin bio-films have been characterized. </p
Bio-ViennaNGS: Bio::ViennaNGS v0.13
No full text<p>This is a bugfix release:</p>
<ul>
<li>fixed an issue in Bio::ViennaNGS::FeatureChain</li>
<li>updated POD</li>
</ul>
Investigation of engine performance and exhaust gas emissions by using bio-diesel in compression ignition engine and optimisation of bio-diesel production from feedstock by using response surface methodology
No full textBio-diesel, derived from the transesterification of vegetable oils or animal fats with simple alcohols, has attracted more and more attention recently. As a cleaner burning diesel alternative, bio-diesel claims to have many attractive features including: biodegradability,
nontoxicity, renewability and low emission profiles. Free fatty acid (FFA) esterification and
triglyceride (TG) transesterification with low alcohols molar ratio are the central reactions for
the bio-diesel production. This study presents an experimental investigation into the effects of
running biodiesel fuel and its blends on conventional diesel engines. Bio-fuels provide a way to produce fuels without redesigning any of the engine technology present today, yet allowing
for green house emissions to decrease.
Bio-diesel is one of these types of emerging bio-fuels, which has an immediate alternative fuel, while providing a decrease in green house gas emissions, as well as a solution to recycling used Waste Vegetable Oils which are otherwise disposed. This study shows how by blending bio-diesel with petroleum diesel at intervals of B5, B10, B15, and B20 decrease green house gas emissions significantly while maintaining similar performance output and efficiency with respect to 100% petroleum diesel.
The focus of this research is to optimize the biodiesel production from crude sunflower
oil. The effect of variables including methanol/oil molar ratio, NaOH catalyst concentration, reaction time, reaction temperature, and rate of mixing on the bio-diesel yield was examined and optimized by response surface methodology (RSM). Besides, a second-order model was deduced to predict the biodiesel yield. Confirmation experiment was further conducted, validating the efficacy of the model.
Transesterification of sunflower oil was carried out using low molecular weight alcohols and sodium hydroxide. For sunflower oil, a central composite design with eight factorial, six center and six axial points was used to study the effect of catalyst concentration, molar ratio of methanol to sunflower oil and reaction temperature on percentage yield of the biodiesel. Catalyst concentration and molar ratio of methanol to sunflower oil were the most influential variables affecting percentage conversion and percentage initial absorbance.
Maximum percentage yield of 95 % is predicted at a catalyst concentration of 1.1 % (wt/wt) and methanol to sunflower oil molar ratio of 6.8:1 at reaction time of 66 min and temperature of 35°C. In general, the sunflower oil biodiesel exhibited friendly environmental benefits and acceptable stability, demonstrating its feasibility as an alternative fuel
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