Foliar fungal pathogens and grassland biodiversity

By attacking plants, herbivorous mammals, insects, and belowground pathogens are known to play an important role in maintaining biodiversity in grasslands. Foliar fungal pathogens are ubiquitous in grassland ecosystems, but little is known about their role as drivers of community composition and diversity. Here we excluded foliar fungal pathogens from perennial grassland by using fungicide to determine the effect of natural levels of disease on an otherwise undisturbed plant community. Importantly, we excluded foliar fungal pathogens along with rabbits, insects, and mollusks in a full factorial design, which allowed a comparison of pathogen effects along with those of better studied plant enemies. This revealed that fungal pathogens substantially reduced aboveground plant biomass and promoted plant diversity and that this especially benefited legumes. The scale of pathogen effects on productivity and biodiversity was similar to that of rabbits and insects, but different plant species responded to the exclusion of the three plant enemies. These results suggest that theories of plant coexistence and management of biodiversity in grasslands should consider foliar fungal pathogens as potentially important drivers of community composition.

Analysing Conjoint Analysis Data by a Random Coefficient Regression Model

2000 Mathematics Subject Classification: 62J12, 62K15, 91B42, 62H99.

How source credibility and message claims interact in determining advertising effectiveness

Credible endorsers are often used in advertisements. However, there is conflicting evidence on the role source credibility plays in persuasion. Early research found that source credibility affects persuasion when subjects pay attention to the communication. Other research indicates that a credible source enhances persuasion when people do not scrutinize the message claims carefully and thoroughly. This effect is opposite to what was indicated by early research. More recent research indicates that source credibility may affect persuasion when people scrutinize the message claims, but limits this effect to advertisements with certain type of claims (i.e., ambiguous or extreme claims). This dissertation proposes that source credibility might play a broader role during persuasion than suggested by the empirical literature. Source credibility may affect persuasion, at low levels of involvement, by serving as a peripheral cue. It may also affect persuasion, at high involvement, by serving as an argument or biasing elaboration. ^ Each of these possibilities was explored in an experiment using a 3 (source credibility) x 2 (type of claim) x 2 (levels of involvement) full factorial design. The sample consisted of 180 undergraduate students from a major southeastern University. ^ Results indicated that, at high levels of involvement, the credibility of the source affected persuasion. This effect was due to source credibility acting as an argument within the advertisement. This study did not find that source credibility affected persuasion by biasing elaboration, at high involvement, or by serving as a peripheral cue, at low involvement. ^

A methodology to measure coordination of business processes

Coordination of business processes is the management of dependencies where dependencies constrain how the tasks are performed. It has been traditionally done in an intuitive fashion, without paying much attention to the coordination load. Coordination load is being defined as the ratio between the time spent on coordination activities and the total task time. Previous efforts to understand and analyze coordination have resulted in mostly qualitative approaches to categorize and recommend coordination strategies. This research seeks to answer two questions: (1) How can we analyze process coordination problems to improve overall performance? (2) What guidance can we provide to reduce the coordination load of the process and consequently improve the organization's performance? Thus, this effort developed a quantitative measure for coordination load of business processes and a methodology to apply such measure. ^ This effort used a management simulation game to have a controlled laboratory environment enabling the manipulation of the task factors variability, analyzability, and interdependence to measure their impact on coordination load. The hypothesis was that the more variable, non-analyzable, and interdependent a process, the higher the coordination load, and that a higher coordination load would have a negative impact on performance. Coordination load was measured via the surrogate coordination time, and performance via profit. ^ A 22 x 31 full factorial design, with two replicates, was run to observe the impact on the variables coordination time and profit. Properly validated spreadsheets and questionnaires were used as data collection instruments for each scenario. The experimental results indicate that lower task analyzability (ρ=0.036) and higher task interdependence (ρ=0.000) lead to higher coordination load, and higher levels of task variability (ρ=0.049) lead to lower performance. However, contrary to the hypotheses postulated by this work, coordination load did not prove to be strong predictor of performance (correlation of -0.086). ^ These findings from the laboratory experiment and other lessons learned were incorporated to develop a quantitative measure, a tool (survey) to use to gather data for the variables in the measures, and a methodology to quantify coordination load of production business processes. The practicality of the methodology is demonstrated with an example.^

Mesocosm experiment on warming and acidification effects in 2012: Microzooplankton data

Global warming and ocean acidification are among the most important stressors for aquatic ecosystems in the future. To investigate their direct and indirect effects on a near-natural plankton community, a multiple-stressor approach is needed. Hence, we set up mesocosms in a full-factorial design to study the effects of both warming and high CO2 on a Baltic Sea autumn plankton community, concentrating on the impacts on microzooplankton (MZP). MZP abundance, biomass, and species composition were analysed over the course of the experiment. We observed that warming led to a reduced time-lag between the phytoplankton bloom and an MZP biomass maximum. MZP showed a significantly higher growth rate and an earlier biomass peak in the warm treatments while the biomass maximum was not affected. Increased pCO2 did not result in any significant effects on MZP biomass, growth rate, or species composition irrespective of the temperature, nor did we observe any significant interactions between CO2 and temperature. We attribute this to the high tolerance of this estuarine plankton community to fluctuations in pCO2, often resulting in CO2 concentrations higher than the predicted end-of-century concentration for open oceans. In contrast, warming can be expected to directly affect MZP and strengthen its coupling with phytoplankton by enhancing its grazing pressure.

Produção de biossurfactantes e nanoemulsões a partir da microalga spirulina

As microalgas têm sido foco de muitos estudos tendo em vista sua grande aplicabilidade na indústria de alimentos e farmacêutica, como também nas áreas da biomedicina e ambiental. A Spirulina é uma microalga que possui alto valor nutricional, apresenta alto teor proteico e é rica em substâncias bioativas. Esta microalga apresenta em sua composição compostos como glicolípidios, fosfolipídios e lipídios neutros, que por sua vez possuem efeito biossurfactante. Assim, o objetivo deste estudo foi verificar a potencialidade de produção de biossurfactantes a partir de diferentes cepas de Spirulina. Para isso, foram realizados experimentos utilizando Delineamento Fatorial Completo 22 , visando avaliar a influência da concentração de fósforo e nitrogênio no cultivo das microalgas Spirulina platensis Paracas, Spirulina platensis LEB 52 e Spirulina sp. LEB 18, como também nos extratos oriundos das microalgas, através da medida da tensão superficial. Foi também avaliada a influência destes nutrientes em extratos de Spirulina platensis LEB 52 e Spirulina sp. LEB 18 a partir do índice de emulsificação e diâmetro médio das gotículas das emulsões preparadas a partir dos extratos. Para extrações de biossurfactantes foram testados os solventes metanol, etanol e hexano. Nas formulações das nanoemulsões utilizou-se homogeneizador de alta velocidade, como fase aquosa os extratos oriundos das microalgas e como fase oleosa, óleo de girassol. As formulações foram preparadas utilizando-se diferentes concentrações da fase aquosa e oleosa, bem como diferentes velocidades e tempos de agitação. De acordo com os cultivos de Spirulina platensis Paracas realizados foi verificado que o cultivo que atingiu maior valor de concentração máxima de biomassa e maior produtividade foi realizado com 114 mg.L-1 de fósforo e sem adição de nitrogênio. Porém em relação às microalgas Spirulina platensis LEB 52 e Spirulina sp. LEB 18, as variáveis fósforo e nitrogênio não apresentaram influência significativa na concentração máxima de biomassa e produtividade máxima. O extrato que apresentou a menor tensão superficial (26,75 mN.m-1 ) foi verificado quando foi utilizado etanol como solvente, sendo este obtido a partir de cultivo da microalga Spirulina sp. LEB 18 realizado sem adição de nitrogênio e de fósforo. Em relação ao índice de emulsificação foram atingidos valores superiores a 59%, porém as concentrações utilizadas de nitrogênio e fósforo não apresentaram influência significativa nesta resposta. Neste trabalho foi possível obter nanoemulsões estáveis por até 30 d e com diâmetro médio de gotículas de até 532 nm. Os resultados obtidos neste trabalho são favoráveis à pesquisa na aplicação tanto dos extratos microalgais como das nanoemulsões obtidas apresentando potencialidade de uso em diversos processos industriais, como nas áreas ambiental, farmacêutica, cosmética e alimentos.

Desenvolvimento de método para determinação de ferro e cobre em vinho por espectrofotometria empregando DLLME

Este trabalho propõe o desenvolvimento de métodos de preparo de amostra empregando a microextração líquido-líquido dispersiva (DLLME) para a extração e pré- concentração de Fe e Cu em vinho, seguido da determinação espectrofotométrica na região do ultravioleta-visível (UV-Vis). Nas extrações por DLLME, a complexação de Fe e Cu foi feita com pirrolidina ditiocarbamato de amônio (APDC) e dietilditiocarbamato de sódio (DDTC), respectivamente. Para a DLLME, foi usada uma mistura apropriada de pequenos volumes de dois solventes, um extrator e outro dispersor, a qual foi rapidamente injetada na amostra aquosa, ocorrendo à formação de uma dispersão e a extração praticamente instantânea dos analitos. Na otimização da DLLME para extração de Fe foram avaliados alguns parâmetros como, tipo de solvente extrator (C2Cl4, 80 µL) e dispersor (acetonitrila, 1300 µL) e seus volumes, pH (3,0), concentração do APDC (1%, m/v), adição de NaCl (0,02 mol L -1 ) e tempo de extração. Para extração de Cu foi aplicado um planejamento fatorial completo 25 para avaliar a influência de cinco variáveis independentes: volume dos solventes dispersor (acetonitrila, 1600 µL) e extrator (CCl4, 60 µL), concentração de DDTC (2%, m/v), pH (3,0) e concentração de NaCl. Após a otimização das condições para Fe, a curva de calibração com adição de analito foi linear entre 0,2 e 2,5 mg L-1 para vinho branco (R2 = 0,9985) e para vinho tinto (R2 = 0,9988). Para Cu, a curva de calibração com adição de analito foi linear entre 0,05 e 1,0 mg L-1 para vinho branco (R2 = 0,9995) e para vinho tinto (R2 = 0,9986). Os limites de quantificação foram de 0,75 e 0,37 mg L-1 para Fe e Cu, respectivamente. A exatidão foi avaliada utilizando ensaio de recuperação, as quais variaram entre 96% e 112%, com desvio padrão relativo inferior a 8%. Os métodos foram aplicados para 5 amostras de vinho branco e 5 amostras de vinho tinto, obtendo-se concentrações entre 1,3 e 5,3 e entre 2,5 e 4,4 mg L-1 para Fe e entre 0,4 e 1,5 e entre 0,9 e 2,5 mg L-1 para Cu, respectivamente. Os métodos desenvolvidos para a extração e pré-concentração de Fe e Cu em vinhos por DLLME e quantificação por UV-Vis mostraram-se adequados, em termos de linearidade, exatidão e precisão.

Bioconversion of agro-industrial wastes for the production of fibrinolytic enzyme from Bacillus halodurans IND18: Purification and biochemical characterization

Background: Agro-wastes were used for the production of fibrinolytic enzyme in solid-state fermentation. The process parameters were optimized to enhance the production of fibrinolytic enzyme from Bacillus halodurans IND18 by statistical approach. The fibrinolytic enzyme was purified, and the properties were studied. Results: A two-level full factorial design was used to screen the significant factors. The factors such as moisture, pH, and peptone were significantly affected enzyme production and these three factors were selected for further optimization using central composite design. The optimum medium for fibrinolytic enzyme production was wheat bran medium containing 1% peptone and 80% moisture with pH 8.32. Under these optimized conditions, the production of fibrinolytic enzyme was found to be 6851 U/g. The fibrinolytic enzyme was purified by 3.6-fold with 1275 U/mg specific activity. The molecular mass of fibrinolytic enzyme was determined by sodium dodecyl sulphate polyacrylamide gel electrophoresis, and it was observed as 29 kDa. The fibrinolytic enzyme depicted an optimal pH of 9.0 and was stable at a range of pH from 8.0 to 10.0. The optimal temperature was 60°C and was stable up to 50°C. This enzyme activated plasminogen and also degraded the fibrin net of blood clot, which suggested its potential as an effective thrombolytic agent. Conclusions: Wheat bran was found to be an effective substrate for the production of fibrinolytic enzyme. The purified fibrinolytic enzyme degraded fibrin clot. The fibrinolytic enzyme could be useful to make as an effective thrombolytic agent.

Crocin and β-Carotene bleaching assays as analytical tools in the optimization of the extraction of hydrophilic and lipophilic antioxidants from tomato

Tomato (Lycopersicon esculentum Mill.) is the second most important vegetable crop worldwide and a rich source of hydrophilic (H) and lipophilic (L) antioxidants. The H fraction is constituted mainly by ascorbic acid and soluble phenolic compounds, while the L fraction contains carotenoids (mostly lycopene), tocopherols, sterols and lipophilic phenolics [1,2]. To obtain these antioxidants it is necessary to follow appropriate extraction methods and processing conditions. In this regard, this study aimed at determining the optimal extraction conditions for H and L antioxidants from a tomato surplus. A 5-level full factorial design with 4 factors (extraction time (I, 0-20 min), temperature (T, 60-180 •c), ethanol percentage (Et, 0-100%) and solid/liquid ratio (S/L, 5-45 g!L)) was implemented and the response surface methodology used for analysis. Extractions were carried out in a Biotage Initiator Microwave apparatus. The concentration-time response methods of crocin and P-carotene bleaching were applied (using 96-well microplates), since they are suitable in vitro assays to evaluate the antioxidant activity of H and L matrices, respectively [3]. Measurements were carried out at intervals of 3, 5 and 10 min (initiation, propagation and asymptotic phases), during a time frame of 200 min. The parameters Pm (maximum protected substrate) and V m (amount of protected substrate per g of extract) and the so called IC50 were used to quantify the response. The optimum extraction conditions were as follows: r~2.25 min, 7'=149.2 •c, Et=99.1 %and SIL=l5.0 giL for H antioxidants; and t=l5.4 min, 7'=60.0 •c, Et=33.0% and S/L~l5.0 g/L for L antioxidants. The proposed model was validated based on the high values of the adjusted coefficient of determination (R2.wi>0.91) and on the non-siguificant differences between predicted and experimental values. It was also found that the antioxidant capacity of the H fraction was much higher than the L one.

Investigation into the Influence of Build Parameters on Failure of 3D Printed Parts

Additive manufacturing, including fused deposition modeling (FDM), is transforming the built world and engineering education. Deep understanding of parts created through FDM technology has lagged behind its adoption in home, work, and academic environments. Properties of parts created from bulk materials through traditional manufacturing are understood well enough to accurately predict their behavior through analytical models. Unfortunately, Additive Manufacturing (AM) process parameters create anisotropy on a scale that fundamentally affects the part properties. Understanding AM process parameters (implemented by program algorithms called slicers) is necessary to predict part behavior. Investigating algorithms controlling print parameters (slicers) revealed stark differences between the generation of part layers. In this work, tensile testing experiments, including a full factorial design, determined that three key factors, width, thickness, infill density, and their interactions, significantly affect the tensile properties of 3D printed test samples.

Purification of alpha-toxin from Clostridium perfringens type A in PEG-phosphate aqueous two-phase systems: a factorial study

BACKGROUND: Purification of a-toxin produced by Clostridium perfringens type A in aqueous two-phase systems (ATPS) was studied with a full two-level factorial design on two factors (concentrations of 8000 g mol(-1) PEG and phosphate salt at pH 8.0), to estimate the influence of these factors on the purification results. RESULTS: The partition coefficient (K), purification factor (PF) and activity yield (Y) were strongly influenced by the PEG and phosphate concentrations. Raising the levels of the two factors increased these responses. The highest purification factor (5.7) was obtained with PEG and phosphate concentrations of 17.5% and 15%, respectively. CONCLUSION: These results support the proposal that polymer excluded volume and hydrophobic interactions are the factors that drive the alpha-toxin in PEG/phosphate aqueous two-phase systems. (c) 2008 Society of Chemical Industry

Optimization process of polyester polymer mortars modified with recycled GFRP waste aggregates – application of factorial experiment design-

Glass fibre-reinforced plastics (GFRP), nowadays commonly used in the construction, transportation and automobile sectors, have been considered inherently difficult to recycle due to both: cross-linked nature of thermoset resins, which cannot be remolded, and complex composition of the composite itself, which includes glass fibres, matrix and different types of inorganic fillers. Presently, most of the GFRP waste is landfilled leading to negative environmental impacts and supplementary added costs. With an increasing awareness of environmental matters and the subsequent desire to save resources, recycling would convert an expensive waste disposal into a profitable reusable material. There are several methods to recycle GFR thermostable materials: (a) incineration, with partial energy recovery due to the heat generated during organic part combustion; (b) thermal and/or chemical recycling, such as solvolysis, pyrolisis and similar thermal decomposition processes, with glass fibre recovering; and (c) mechanical recycling or size reduction, in which the material is subjected to a milling process in order to obtain a specific grain size that makes the material suitable as reinforcement in new formulations. This last method has important advantages over the previous ones: there is no atmospheric pollution by gas emission, a much simpler equipment is required as compared with ovens necessary for thermal recycling processes, and does not require the use of chemical solvents with subsequent environmental impacts. In this study the effect of incorporation of recycled GFRP waste materials, obtained by means of milling processes, on mechanical behavior of polyester polymer mortars was assessed. For this purpose, different contents of recycled GFRP waste materials, with distinct size gradings, were incorporated into polyester polymer mortars as sand aggregates and filler replacements. The effect of GFRP waste treatment with silane coupling agent was also assessed. Design of experiments and data treatment were accomplish by means of factorial design and analysis of variance ANOVA. The use of factorial experiment design, instead of the one factor at-a-time method is efficient at allowing the evaluation of the effects and possible interactions of the different material factors involved. Experimental results were promising toward the recyclability of GFRP waste materials as polymer mortar aggregates, without significant loss of mechanical properties with regard to non-modified polymer mortars.

Molecular assay optimized by Taguchi experimental design method for venous thromboembolism investigation

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Optimization of the Ion Source-Mass Spectrometry Parameters in Non-Steroidal Anti-Inflammatory and Analgesic Pharmaceuticals Analysis by a Design of Experiments Approach

The flow rates of drying and nebulizing gas, heat block and desolvation line temperatures and interface voltage are potential electrospray ionization parameters as they may enhance sensitivity of the mass spectrometer. The conditions that give higher sensitivity of 13 pharmaceuticals were explored. First, Plackett-Burman design was implemented to screen significant factors, and it was concluded that interface voltage and nebulizing gas flow were the only factors that influence the intensity signal for all pharmaceuticals. This fractionated factorial design was projected to set a full 2(2) factorial design with center points. The lack-of-fit test proved to be significant. Then, a central composite face-centered design was conducted. Finally, a stepwise multiple linear regression and subsequently an optimization problem solving were carried out. Two main drug clusters were found concerning the signal intensities of all runs of the augmented factorial design. p-Aminophenol, salicylic acid, and nimesulide constitute one cluster as a result of showing much higher sensitivity than the remaining drugs. The other cluster is more homogeneous with some sub-clusters comprising one pharmaceutical and its respective metabolite. It was observed that instrumental signal increased when both significant factors increased with maximum signal occurring when both codified factors are set at level +1. It was also found that, for most of the pharmaceuticals, interface voltage influences the intensity of the instrument more than the nebulizing gas flowrate. The only exceptions refer to nimesulide where the relative importance of the factors is reversed and still salicylic acid where both factors equally influence the instrumental signal. Graphical Abstract ᅟ.

Study Of The Homogeneity Of Drug Loaded In Polymeric Films Using Near-infrared Chemical Imaging And Split-plot Design.

Split-plot design (SPD) and near-infrared chemical imaging were used to study the homogeneity of the drug paracetamol loaded in films and prepared from mixtures of the biocompatible polymers hydroxypropyl methylcellulose, polyvinylpyrrolidone, and polyethyleneglycol. The study was split into two parts: a partial least-squares (PLS) model was developed for a pixel-to-pixel quantification of the drug loaded into films. Afterwards, a SPD was developed to study the influence of the polymeric composition of films and the two process conditions related to their preparation (percentage of the drug in the formulations and curing temperature) on the homogeneity of the drug dispersed in the polymeric matrix. Chemical images of each formulation of the SPD were obtained by pixel-to-pixel predictions of the drug using the PLS model of the first part, and macropixel analyses were performed for each image to obtain the y-responses (homogeneity parameter). The design was modeled using PLS regression, allowing only the most relevant factors to remain in the final model. The interpretation of the SPD was enhanced by utilizing the orthogonal PLS algorithm, where the y-orthogonal variations in the design were separated from the y-correlated variation.