Characteristics of austenitic stainless steel nitrided in a hybrid glow discharge plasma

A nitriding process based on two distinct nitrogen glow discharge modes, with sample temperatures ranging from 380 °Cto480°C, was employed to treat the surface of austenitic stainless steel (SS 304). The temperature is controlled exclusively by switching the operation conditions of the discharges. First mode of operation is the conventional one, named cathodic, which runs at higher pressure values (1 mbar) in comparison to the second mode, named anodic, which runs at the pressure range of 10-3 -10-2 mbar. Cathodic mode is used to quickly heat the sample holder, by the high ion flux. On the other hand, in the anodic mode, due to the lower operation pressure, higher effective ion acceleration takes place, which allows deeper ion implantation into the sample surface. This hybrid process was thoroughly explored regarding the duty cycle and conditions of operation, to achieve optimal performance of the treatments, which led to the attainment of surface hardness for samples of AISI SS 304 as high as 20 GPa and improvements including higher elastic modulus and resistance against corrosion. Detailed comparison among samples treated by this process with others treated by conventional method was done using nanoindentation, Auger Electron Spectroscopy (AES) and corrosion resistance testing

Análise bayesiana do modelo de herança monogênica no melhoramento vegetal: um exemplo com abobrinha Bayesian analisys of monogenic inheritance model in plant breeding: a case study with zucchini

Uma estratégia comum em programas de melhoramento é conduzir estudos básicos de herança para investigar a hipótese de controle do caráter por um ou poucos genes de efeito principal, associados ou não a genes modificadores de pequeno efeito. Neste trabalho, foi utilizada a inferência bayesiana para ajustar modelos de herança genética aditiva-dominante a experimentos de genética vegetal com várias gerações. Densidades normais com médias associadas aos efeitos genéticos das gerações foram consideradas em um modelo linear em que a matriz de delineamento dos efeitos genéticos tinha coeficientes indeterminados (precisando ser estimada para cada indivíduo). A metodologia foi ilustrada com um conjunto de dados de um estudo de herança da partenocarpia em abobrinha (Cucurbita pepo L). Tal ajuste permitiu explicitar a distribuição a posteriori das probabilidades genotípicas. . A análise corrobora resultados anteriores da literatura, porém foi mais eficiente que alternativas prévias que supunham a matriz de delineamento conhecida para as gerações. Conclui-se que a partenocarpia em abobrinha é governada por um gene principal com dominância parcial.<br>A common breeding strategy is to carry out basic studies to investigate the hypothesis of a single gene controlling the trait (major gene) with or without polygenes of minor effect. In this study we used Bayesian inference to fit genetic additive-dominance models of inheritance to plant breeding experiments with multiple generations. Normal densities with different means, according to the major gene genotype, were considered in a linear model in which the design matrix of the genetic effects had unknown coefficients (which were estimated in individual basis). An actual data set from an inheritance study of partenocarpy in zucchini (Cucurbita pepo L.) was used for illustration. Model fitting included posterior probabilities for all individual genotypes. Analysis agrees with results in the literature but this approach was far more efficient than previous alternatives assuming that design matrix was known for the generations. Partenocarpy in zucchini is controlled by a major gene with important additive effect and partial dominance