872 resultados para Central composite experimental design


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In field biology, cost efficiency is an essential element of experimental design, with ramifications extending well beyond the basic monetary considerations associated with labour and equipment acquisition. Current economic constraints often require scientists to undertake many technical, secretarial and managerial tasks in addition to those associated with data collection, analysis, interpretation and publication. Because the time spent to process material in the laboratory can rarely be shortened without compromising the integrity of the results, it is imperative that field experiments be well-organised, addressing as many aspects of the problem as possible during the same sampling excursion. The sampling strategy employed should provide a maximum of good field data with a minimum cost of time and effort.

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Large numbers of fishing vessels operating from ports in Latin America participate in surface longline fisheries in the eastern Pacific Ocean (EPO), and several species of sea turtles inhabit the grounds where these fleets operate. The endangered status of several sea turtle species, and the success of circle hooks (‘treatment’ hooks) in reducing turtle hookings in other ocean areas, as compared to J-hooks and Japanese-style tuna hooks (‘control’ hooks), prompted the initiation of a hook exchange program on the west coast of Latin America, the Eastern Pacific Regional Sea Turtle Program (EPRSTP)1. One of the goals of the EPRSTP is to determine if circle hooks would be effective at reducing turtle bycatch in artisanal fisheries of the EPO without significantly reducing the catch of marketable fish species. Participating fishers were provided with circle hooks at no cost and asked to replace the J/Japanese-style tuna hooks on their longlines with circle hooks in an alternating manner. Data collected by the EPRSTP show differences in longline gear and operational characteristics within and among countries. These aspects of the data, in addition to difficulties encountered with implementation of the alternating-hook design, pose challenges for analysis of these data.

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A indústria moveleira em geral e de piso de madeira é caracterizada por processos a seco. Em decorrência da limpeza e lavagem de maquinário e superfícies gera águas residuárias em baixos volumes porém altamente contaminadas com substâncias recalcitrantes de difícil tratamento. Com o objetivo de oferecer uma alternativa tecnológica de fácil operação (com uso mínimo de reagentes químicos), capaz de tratar tais águas, reduzir toxicidade e aumentar biodegradabilidade do efluente, viabilizando desta forma uma etapa subsequente de tratamento biológico, o presente trabalho conduziu ensaios de tratabilidade baseados em processos oxidativos avançados com águas residuárias provenientes de lavagens em uma indústria de piso de madeira em Nybro, Suécia, com DQO inicial de aproximadamente 45.000 mg/L e pH de 2,3-2,6. Após tratamento primário in situ com redução de 89% de DQO, os seguintes processos geradores de radicais OH foram testados em escala de laboratório: ozonização sem ajuste de pH (Etapa I); ozonização com ajuste de pH (Etapa II); e ozonização + UV-C com ajuste de pH (Etapa III). Os experimentos foram realizados em semi-batelada, utilizando-se um aparato com dois reatores conectados (de O3 e de UV), entre os quais foi mantido fluxo de recirculação em contracorrente com o gás. Para o desenho experimental, utilizou-se a metodologia de planejamento fatorial do tipo Delineamento Composto Central Rotacional (DCCR) utilizando-se como variáveis independentes, (i) vazão de recirculação entre os reatores (VR) com níveis variando de 0,3 a 3L/min; (ii) concentração de O3 na mistura gasosa injetada ([O3]) ou modo de dosagem cujos níveis variaram de 40 a 115 g/Nm3 e; (iii) pH inicial (Etapas II e III) com níveis que variaram de 3 a 11. A quantidade total de O3 fornecida até o final de cada ensaio foi fixada em 2 gramas de O3 para cada grama de DQO inicial (2:1). A eficiência de cada tratamento foi avaliada em função da redução de DQO, da remoção de COT e do consumo de O3. Para ozonização sem ajuste de pH foram alcançadas reduções de DQO e COT de 65 e 31% respectivamente. No tratamento com ajuste de pH sem UV, foram alcançadas reduções de DQO e COT de 85% e 43% com pHinicial = 7,0 enquanto que no tratamento com UV foi alcançada redução de DQO e COT de 93% e 56% respectivamente, com pHi = 9,38. Os resultados de respirometria com os efluentes dos tratamentos indicaram que a ozonização destas águas em pH baixo pode resultar na geração de subprodutos menos biodegradáveis. Entretanto, tais produtos não são gerados quando a ozonização é realizada em pH mais elevado (7,0), mesmo sem aplicação de UV, com doses de O3:DQOinicial menores que 1:1. O tratamento por ozonização pode, portanto, ser aplicado como uma etapa intermediária de tratamento das águas residuárias em questão, inclusive precedendo o tratamento biológico.

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Surface roughness noise is a potentially important contributor to airframe noise. In this paper, noise assessment due to surface roughness is performed for a conceptual Silent Aircraft design SAX-40 by means of a prediction model developed in previous theoretical work and validated experimentally. Estimates of three idealized test cases show that surface roughness could produce a significant noise level above that due to the trailing edge at high frequencies. Roughness height and roughness density are the two most significant parameters influencing surface roughness noise, with roughness height having the dominant effect. The ratio of roughness height to boundary-layer thickness is the relevant non-dimensional parameter and this decreases in the streamwise direction. The candidate surface roughness is selected for SAX-40 to meet an aggressive noise target and keep surface roughness noise at a negligible level. Copyright © 2008 by Yu Liu and Ann P. Dowling.

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An experimental procedure along with a method of analysis to judge the suitability of an individual to be included in a taste panel is described. The procedure is based on comparison of the organoleptic scores assigned by the individual to pairs of fish samples whose qualities are known and a set of physical measurements of the same samples. Fisher's Exact Probability Test provides a criterion for the judgement.

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Applications such as soil, rock and oil-well grouting all require enormous amounts of cement and are good examples of areas where a high volume of fly ash could partially replace cement to produce low-cost, environmentally safe and durable concrete. There is an increasing need to identify the rheological properties of cement grout using a simple test to determine the fluidity, and other properties of underwater grouts such as washout resistance and compressive strength. This paper presents statistical models developed using a fractorial design which was carried out to model the influence of key parameters on properties affecting the performance of underwater grout. Such responses of fluidity included mini-slump and flow time measured by Marsh cone, washout resistance, unit weight and compressive strength. The models are valid for mixes with 0.40 to 0.60 water-to-cementitious materials ratio, 0.02 to 0.08% of anti-washout admixture, by mass of binder, and 0.6 to 1.8% of superplasticizer, by mass of cementitious materials. The grout was made with 50% of pulverized-fuel ash replacement, by mass ofcementitious materials. Also presented are the derived models that enable the identification of underlying primary factors and their interactions that influence the modelled responses of underwater cement grout. Such parameters can be useful to reduce the test protocol needed for proportioning of underwater cement grout. This paper highlighted the influence of W/CM and dosage of antiwashout admixture and superplasticizer on fluidity, washout resistance and compressive strength and attempted also to demonstrate the usefulness of the models to improve understanding of trade-offs between parameters.

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Here we present a novel experimental approach to examine the relationship between diversity and ecosystem Function. We develop four null predictive models, with which to differentiate between the 'sampling effect' - the chance inclusion of a highly productive species, and 'species complementarity' - the complementary use of resources by species that differ in their niche or resource use. We investigate the effects of manipulating species and functional richness on ecosystem function in marine benthic system and using empirical data from our own experiments we illustrate the application of these models.

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It is widely accepted that concrete designed to perform satisfactorily in adverse environmental conditions must have a high cement content and a low water-cement ratio. In addition, in order to enhance its durability, many types of additive and admixture such as super-plasticizers, fly ash, silica fume, ggbfs, etc., have been used in the past. However, a close study of the published literature indicates that the effect of mix variables on the durability and the interaction between the various ingredients are not fully understood. Some of these apparent contradictions are due to the limitations in the design of the experimental programme. For instance, it is evident that relatively higher concentrations of aggregates increase the tortuosity of the flow path and hence reduce the permeability, which results in an improvement in the durability. Therefore, an increase in cement content without a proportional decrease in water-cement ratio may reduce the durability. In such cases, the interactive effects of factors can be established by resorting to a properly designed experimental programme, such as the factorial experimental design.

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The inference of gene regulatory networks gained within recent years a considerable interest in the biology and biomedical community. The purpose of this paper is to investigate the influence that environmental conditions can exhibit on the inference performance of network inference algorithms. Specifically, we study five network inference methods, Aracne, BC3NET, CLR, C3NET and MRNET, and compare the results for three different conditions: (I) observational gene expression data: normal environmental condition, (II) interventional gene expression data: growth in rich media, (III) interventional gene expression data: normal environmental condition interrupted by a positive spike-in stimulation. Overall, we find that different statistical inference methods lead to comparable, but condition-specific results. Further, our results suggest that non-steady-state data enhance the inferability of regulatory networks.

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Hydrous cerium oxide (HCO) was synthesized by intercalation of solutions of cerium(III) nitrate and sodium hydroxide and evaluated as an adsorbent for the removal of hexavalent chromium from aqueous solutions. Simple batch experiments and a 25 factorial experimental design were employed to screen the variables affecting Cr(VI) removal efficiency. The effects of the process variables; solution pH, initial Cr(VI) concentration, temperature, adsorbent dose and ionic strength were examined. Using the experimental results, a linear mathematical model representing the influence of the different variables and their interactions was obtained. Analysis of variance (ANOVA) demonstrated that Cr(VI) adsorption significantly increases with decreased solution pH, initial concentration and amount of adsorbent used (dose), but slightly decreased with an increase in temperature and ionic strength. The optimization study indicates 99% as the maximum removal at pH 2, 20 °C, 1.923 mM of metal concentration and a sorbent dose of 4 g/dm3. At these optimal conditions, Langmuir, Freundlich and Redlich–Peterson isotherm models were obtained. The maximum adsorption capacity of Cr(VI) adsorbed by HCO was 0.828 mmol/g, calculated by the Langmuir isotherm model. Desorption of chromium indicated that the HCO adsorbent can be regenerated using NaOH solution 0.1 M (up to 85%). The adsorption interactions between the surface sites of HCO and the Cr(VI) ions were found to be a combined effect of both anion exchange and surface complexation with the formation of an inner-sphere complex.

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A meta-analysis was undertaken on a form of cooperative learning, peer tutoring. The effects of experimental design on outcomes were explored, as measured by Effect Size (ES). 185 studies were included in the meta-analysis. Highest ES were reported for quasi-experimental studies. ES reduced as experimental design moved from single pre-test factor matched, to multiple-factor matched randomized controlled trials. ES reduced when designs used standardised, rather than self-designed measures, The implications for future meta-analyses and research in cooperative learning are explored.