A semi-grand canonical Monte Carlo simulation model for ion binding to ionizable surfaces: proton binding of carboxylated latex particles as a case study

In this paper, we present a computer simulation study of the ion binding process at an ionizable surface using a semi-grand canonical Monte Carlo method that models the surface as a discrete distribution of charged and neutral functional groups in equilibrium with explicit ions modelled in the context of the primitive model. The parameters of the simulation model were tuned and checked by comparison with experimental titrations of carboxylated latex particles in the presence of different ionic strengths of monovalent ions. The titration of these particles was analysed by calculating the degree of dissociation of the latex functional groups vs. pH curves at different background salt concentrations. As the charge of the titrated surface changes during the simulation, a procedure to keep the electroneutrality of the system is required. Here, two approaches are used with the choice depending on the ion selected to maintain electroneutrality: counterion or coion procedures. We compare and discuss the difference between the procedures. The simulations also provided a microscopic description of the electrostatic double layer (EDL) structure as a function of p H and ionic strength. The results allow us to quantify the effect of the size of the background salt ions and of the surface functional groups on the degree of dissociation. The non-homogeneous structure of the EDL was revealed by plotting the counterion density profiles around charged and neutral surface functional groups.

Toxicidade de inseticidas utilizados na cultura do tomateiro a Trichogramma pretiosum

O objetivo deste trabalho foi avaliar a toxicidade dos inseticidas acetamipride (0,05 g L-1 de i.a.), clorfenapir (0,12 g L-1 de i.a.), imidaclopride (1,16 g L-1 de i.a.), tiaclopride (0,48 g L-1 de i.a.) e tiametoxam (0,05 g L-1 de i.a.) a Trichogramma pretiosum em diferentes fases imaturas. Ovos de Anagasta kuehniella foram aderidos em cartelas de cartolina azul e expostos ao parasitismo de T. pretiosum por 48 horas. Os ovos supostamente parasitados, contendo os parasitóides no período de ovo-larva e nas fases de pré-pupa e pupa, foram imersos nas caldas químicas e em água (testemunha) por cinco segundos, e mantidos em câmara climatizada a 24±1ºC, UR de 70±10% e 12 horas de fotófase. Clorfenapir e imidaclopride reduziram em 76,0% e 64,4%, respectivamente, a emergência de indivíduos da geração F1 de T. pretiosum. A razão sexual dos indivíduos da geração F1 não foi afetada por nenhum dos compostos avaliados, variando de 0,7 a 0,8. Clorfenapir reduziu em aproximadamente 50% a taxa de parasitismo de T. pretiosum da geração F1. Acetamipride e tiametoxam foram inofensivos ao parasitóide e podem ser utilizados em associação com essa espécie no controle de pragas na cultura do tomateiro.

Associação entre El Niño Oscilação Sul e a produtividade do milho no Estado do Rio Grande do Sul

A alta variabilidade interanual da produtividade de milho, no Rio Grande do Sul, é determinada, principalmente, pela variabilidade da precipitação pluvial, e esta, em grande parte está associada ao fenômeno El Niño Oscilação Sul (ENOS). A disponibilidade, hoje, de previsões sazonais do ENOS faz vislumbrar a possibilidade de uso dessas informações para minimizar prejuízos e maximizar a produtividade. Há necessidade, porém, de se avaliar a vulnerabilidade da produtividade do milho a esse fenômeno. O objetivo deste trabalho foi quantificar a associação entre a produtividade de milho e a variabilidade da precipitação pluvial, causada pelo ENOS. Para a análise, foram tomadas séries históricas de produtividade, de precipitação pluvial mensal, de ocorrência das fases do ENOS (El Niño e La Niña), de Temperatura da Superfície do Mar (TSM) no Pacífico equatorial, e do Índice de Oscilação Sul (IOS). Há forte tendência do El Niño em favorecer a cultura do milho, o que dá oportunidade à alta produtividade, ao passo que em anos de ocorrência de La Niña há alta freqüência de baixa produtividade. A precipitação pluvial mais associada à produtividade do milho é a integrada de outubro a março. Essas informações são úteis para decisões quanto a alternativas de manejo da cultura, frente a uma previsão de El Niño ou La Niña.

El voluntariat social i la participació comunitària : la situació actual i les perspectives de futur al voltreganès

Aquest Treball de Final de Grau d’Educació Social pretén aprofundir i reflexionar al voltant dels conceptes de desenvolupament comunitari, participació i voluntariat social, sobretot en la seva dimensió pràctica. Partint d’aquest marc teòric, s’ha portat a terme una anàlisi de la realitat social i una diagnosi de necessitats socials del Voltreganès, és a dir, de la comunitat que formen els municipis de les Masies de Voltregà i Sant Hipòlit de Voltregà. A partir dels resultats, i la interpretació de les dades extretes de les entrevistes, realitzades a diferents professionals vinculats amb l’àmbit social i d’atenció a les persones, s’ha justificat la necessitat i interès d’un projecte de voluntariat, per poder donar resposta a les necessitats emergents de la població. En la part final del treball presento l’àmbit i les línies principals d’aquest projecte.

Quantitative integration of high-resolution hydrogeophysical data through Monte-Carlo-type conditional simulations

Geophysical techniques can help to bridge the inherent gap with regard to spatial resolution and the range of coverage that plagues classical hydrological methods. This has lead to the emergence of the new and rapidly growing field of hydrogeophysics. Given the differing sensitivities of various geophysical techniques to hydrologically relevant parameters and their inherent trade-off between resolution and range the fundamental usefulness of multi-method hydrogeophysical surveys for reducing uncertainties in data analysis and interpretation is widely accepted. A major challenge arising from such endeavors is the quantitative integration of the resulting vast and diverse database in order to obtain a unified model of the probed subsurface region that is internally consistent with all available data. To address this problem, we have developed a strategy towards hydrogeophysical data integration based on Monte-Carlo-type conditional stochastic simulation that we consider to be particularly suitable for local-scale studies characterized by high-resolution and high-quality datasets. Monte-Carlo-based optimization techniques are flexible and versatile, allow for accounting for a wide variety of data and constraints of differing resolution and hardness and thus have the potential of providing, in a geostatistical sense, highly detailed and realistic models of the pertinent target parameter distributions. Compared to more conventional approaches of this kind, our approach provides significant advancements in the way that the larger-scale deterministic information resolved by the hydrogeophysical data can be accounted for, which represents an inherently problematic, and as of yet unresolved, aspect of Monte-Carlo-type conditional simulation techniques. We present the results of applying our algorithm to the integration of porosity log and tomographic crosshole georadar data to generate stochastic realizations of the local-scale porosity structure. Our procedure is first tested on pertinent synthetic data and then applied to corresponding field data collected at the Boise Hydrogeophysical Research Site near Boise, Idaho, USA.

Distância genética e sua associação com heterose e desempenho de híbridos em aveia

O objetivo deste trabalho foi avaliar o efeito da dissimilaridade genética, aferida por caracteres morfológicos e marcadores moleculares, sobre a heterose e heterobeltiose em híbridos de aveia. Foram utilizados cinco genitores cruzados na forma dialélica, tendo sido desconsiderados os híbridos recíprocos. Não houve relação linear entre as medidas de dissimilaridade genética utilizadas, possivelmente em virtude da representação parcial e insuficiente do genoma, quando utilizados dados morfológicos, pela falta de ligação entre os genes controladores dos caracteres mensurados e os marcadores usados, ou pelo fato de as regiões cromossômicas, acessadas pelos marcadores, possuírem diferenças nas suas contribuições para desempenho e heterose da F1. Além disso, as medidas realizadas por meio de caracteres morfológicos e marcadores moleculares não revelam associação significativa com desempenho, heterose e heterobeltiose dos híbridos, para rendimento de grãos.

Associação de deltametrina com Acarophenax lacunatus e seu impacto sobre o desenvolvimento de Rhyzopertha dominica

O objetivo deste trabalho foi avaliar a associação do inseticida deltametrina, aplicado em grãos de trigo, com o ácaro parasita Acarophenax lacunatus e seu impacto sobre o desenvolvimento de Rhyzopertha dominica. Grãos de trigo (13% de teor de água) foram tratados com diferentes doses de deltametrina (0,00, 0,125, 0,25, 0,375, 0,50, 0,625, 0,75, 0,875 e 1,00 mg i.a. kg-1). As unidades experimentais consistiram de placas de Petri contendo 30 g de grãos tratados, ou não, com o inseticida, infestados com 30 adultos de R. dominica. Cinco dias depois da infestação, foram inoculados cinco ácaros parasitas por unidade experimental, em sete repetições. As unidades experimentais foram armazenadas por 60 dias depois da infestação em câmara climatizada ajustada a 30±1°C, 60±5% UR e escotofase de 24 horas. A taxa instantânea de crescimento de R. dominica apresentou índices negativos para as doses de deltametrina maiores que 0,25 mg i.a. kg-1. A. lacunatus associado a doses de deltametrina menores que 0,5 mg i.a. kg-1 reduz as fases imaturas de R. dominica.

Eficácia anti-helmíntica comparativa da associação albendazole, levamisole e ivermectina à moxidectina em ovinos

Avaliou-se a eficácia anti-helmíntica da associação de albendazole 2,0%, cloridrato de levamisole 2,55% e ivermectina 0,08% comparativamente à moxidectina 1% em ovinos naturalmente infectados. Foram selecionados 24 ovinos para a composição de três grupos experimentais com oito animais cada: T1, ovinos tratados com a associação albendazole, levamisole e ivermectina, na dosagem de 1 mL 4 kg-1 de peso corporal; T2, ovinos tratados com moxidectina, na dosagem de 1 mL 50 kg-1 de peso corporal e T3, ovinos sem tratamento anti-helmíntico. Foram realizadas contagens de ovos por grama de fezes (OPG) no primeiro, terceiro, quinto e sétimo dia após os tratamentos. No sétimo dia todos os ovinos foram necropsiados e todos os helmintos encontrados no trato gastrintestinal foram quantificados e identificados quanto ao gênero e à espécie. A associação dos diferentes princípios ativos foi 100% eficaz no combate às espécies Cooperia punctata, C. pectinata, C. spatulata, Trichostrongylus axei, Oesophagostomum columbianum, Trichuris ovis, C. curticei e Strongyloides papillosus e, a moxidectina eliminou as seis primeiras espécies citadas. Contra Haemonchus contortus a associação apresentou eficácia superior (93%) à moxidectina (51,4%). Ambas formulações foram eficazes contra Trichostrongylus colubriformis. A associação medicamentosa utilizada constitui alternativa no controle das nematodioses ovinas.

A critical evaluation of secondary cancer risk models applied to Monte Carlo dose distributions of 2-dimensional, 3-dimensional conformal and hybrid intensity-modulated radiation therapy for breast cancer.

The comparison of radiotherapy techniques regarding secondary cancer risk has yielded contradictory results possibly stemming from the many different approaches used to estimate risk. The purpose of this study was to make a comprehensive evaluation of different available risk models applied to detailed whole-body dose distributions computed by Monte Carlo for various breast radiotherapy techniques including conventional open tangents, 3D conformal wedged tangents and hybrid intensity modulated radiation therapy (IMRT). First, organ-specific linear risk models developed by the International Commission on Radiological Protection (ICRP) and the Biological Effects of Ionizing Radiation (BEIR) VII committee were applied to mean doses for remote organs only and all solid organs. Then, different general non-linear risk models were applied to the whole body dose distribution. Finally, organ-specific non-linear risk models for the lung and breast were used to assess the secondary cancer risk for these two specific organs. A total of 32 different calculated absolute risks resulted in a broad range of values (between 0.1% and 48.5%) underlying the large uncertainties in absolute risk calculation. The ratio of risk between two techniques has often been proposed as a more robust assessment of risk than the absolute risk. We found that the ratio of risk between two techniques could also vary substantially considering the different approaches to risk estimation. Sometimes the ratio of risk between two techniques would range between values smaller and larger than one, which then translates into inconsistent results on the potential higher risk of one technique compared to another. We found however that the hybrid IMRT technique resulted in a systematic reduction of risk compared to the other techniques investigated even though the magnitude of this reduction varied substantially with the different approaches investigated. Based on the epidemiological data available, a reasonable approach to risk estimation would be to use organ-specific non-linear risk models applied to the dose distributions of organs within or near the treatment fields (lungs and contralateral breast in the case of breast radiotherapy) as the majority of radiation-induced secondary cancers are found in the beam-bordering regions.

Monte Carlo simulation of a clearance box monitor used for nuclear power plant decommissioning.

When decommissioning a nuclear facility it is important to be able to estimate activity levels of potentially radioactive samples and compare with clearance values defined by regulatory authorities. This paper presents a method of calibrating a clearance box monitor based on practical experimental measurements and Monte Carlo simulations. Adjusting the simulation for experimental data obtained using a simple point source permits the computation of absolute calibration factors for more complex geometries with an accuracy of a bit more than 20%. The uncertainty of the calibration factor can be improved to about 10% when the simulation is used relatively, in direct comparison with a measurement performed in the same geometry but with another nuclide. The simulation can also be used to validate the experimental calibration procedure when the sample is supposed to be homogeneous but the calibration factor is derived from a plate phantom. For more realistic geometries, like a small gravel dumpster, Monte Carlo simulation shows that the calibration factor obtained with a larger homogeneous phantom is correct within about 20%, if sample density is taken as the influencing parameter. Finally, simulation can be used to estimate the effect of a contamination hotspot. The research supporting this paper shows that activity could be largely underestimated in the event of a centrally-located hotspot and overestimated for a peripherally-located hotspot if the sample is assumed to be homogeneously contaminated. This demonstrates the usefulness of being able to complement experimental methods with Monte Carlo simulations in order to estimate calibration factors that cannot be directly measured because of a lack of available material or specific geometries.

A hybrid algorithm combining metaheuristic with Monte Carlo simulation for solving the Stochastic Flow Shop problem

In this paper, a hybrid simulation-based algorithm is proposed for the StochasticFlow Shop Problem. The main idea of the methodology is to transform the stochastic problem into a deterministic problem and then apply simulation to the latter. In order to achieve this goal, we rely on Monte Carlo Simulation and an adapted version of a deterministic heuristic. This approach aims to provide flexibility and simplicity due to the fact that it is not constrained by any previous assumption and relies in well-tested heuristics.

A hybrid algorithm combining metaheuristic with Monte Carlo simulation for solving the Stochastic Flow Shop problem

In this paper, a hybrid simulation-based algorithm is proposed for the StochasticFlow Shop Problem. The main idea of the methodology is to transform the stochastic problem into a deterministic problem and then apply simulation to the latter. In order to achieve this goal, we rely on Monte Carlo Simulation and an adapted version of a deterministic heuristic. This approach aims to provide flexibility and simplicity due to the fact that it is not constrained by any previous assumption and relies in well-tested heuristics.