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METALLIC INTERFACES IN HARSH CHEMO-MECHANICAL ENVIRONMENTS
Yildiz, Bilge,Nikiforova, Anna,Yip, Sidney Korean Nuclear Society 2009 Nuclear Engineering and Technology Vol.41 No.1
The use of multi scale modeling concepts and simulation techniques to study the destabilization of an ultrathin layer of oxide interface between a metal substrate and the surrounding environment is considered. Of particular interest are chemo-mechanical behavior of this interface in the context of a molecular-level description of stress corrosion cracking. Motivated by our previous molecular dynamics simulations of unit processes in materials strength and toughness, we examine the challenges of dealing with chemical reactivity on an equal footing with mechanical deformation, (a) understanding electron transfer processes using first-principles methods, (b) modeling cation transport and associated charged defect migration kinetics, and (c) simulation of pit nucleation and intergranular deformation to initiate the breakdown of the oxide interlayer. These problems illustrate a level of multi-scale complexity that would be practically impossible to attack by other means; they also point to a perspective framework that could guide future research in the broad computational science community.
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METALLIC INTERFACES IN HARSH CHEMO-MECHANICAL ENVIRONMENTS
Yildiz, Bilge,Nikiforova, Anna,Yip, Sidney Korean Nuclear Society 2009 Nuclear Engineering and Technology Vol.41 No.2
The use of multiscale modeling concepts and simulation techniques to study the destabilization of an ultrathin layer of oxide interface between a metal substrate and the surrounding environment is considered. Of particular interest are chemomechanical behavior of this interface in the context of a molecular-level description of stress corrosion cracking. Motivated by our previous molecular dynamics simulations of unit processes in materials strength and toughness, we examine the challenges of dealing with chemical reactivity on an equal footing with mechanical deformation, (a) understanding electron transfer processes using first-principles methods, (b) modeling cation transport and associated charged defect migration kinetics, and (c) simulation of pit nucleation and intergranular deformation to initiate the breakdown of the oxide interlayer. These problems illustrate a level of multi-scale complexity that would be practically impossible to attack by other means; they also point to a perspective framework that could guide future research in the broad computational science community.
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METALLIC INTERFACES IN HARSH CHEMO-MECHANICAL ENVIRONMENTS
BILGE YILDIZ,ANNA NIKIFOROVA,SIDNEY YIP 한국원자력학회 2009 Nuclear Engineering and Technology Vol.41 No.1
The use of multiscale modeling concepts and simulation techniques to study the destabilization of an ultrathin layer of oxide interface between a metal substrate and the surrounding environment is considered. Of particular interest are chemomechanical behavior of this interface in the context of a molecular-level description of stress corrosion cracking. Motivated by our previous molecular dynamics simulations of unit processes in materials strength and toughness, we examine the challenges of dealing with chemical reactivity on an equal footing with mechanical deformation, (a) understanding electron transfer processes using first-principles methods, (b) modeling cation transport and associated charged defect migration kinetics, and (c) simulation of pit nucleation and intergranular deformation to initiate the breakdown of the oxide interlayer. These problems illustrate a level of multi-scale complexity that would be practically impossible to attack by other means; they also point to a perspective framework that could guide future research in the broad computational science community.
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An integrated approach to estimate brand association matching and strength in virtual settings
Rossella Berni,Nedka Dechkova Nikiforova,Silvia Ranfagni 한국마케팅과학회 2020 Journal of Global Fashion Marketing Vol.11 No.2
This paper proposes an innovative method for estimating brand association matching and strength. It is based on a dual analytical perspective as it compares consumer-perceived with companydefined brand associations, thereby filling a research gap in the offline and online brand studies. In order to build this method, we investigate online communities as authentic interactive environments by combining text-mining with Hybrid Log-Linear models. What emerges is an interdisciplinary method that contributes to extending the use of the user-generated content (UGC) for marketing purposes. Its application is useful for verifying the conditions for customer brand equity and more systematically controlling the adopted brand communications. The analysis also takes into consideration consumers who, after experiencing the virtual setting, have become free-brand tellers and real co-creators of brand meaning. In the study, we focus on online fashion communities as digital platforms where consumer interactions are particularly intensive, and the narratives are rich in brand-related perceptions.
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Siarhei Anatolevich Tachyla,Alexey Viktorovich Marochkov,Artur Leonidovich Lipnitski,Yulia Gennadevna Nikiforova 대한마취통증의학회 2017 Korean Journal of Anesthesiology Vol.70 No.3
Background: To establish the prognostic value of procalcitonin, C-reactive protein and cholesterol levels for mortality in patients with an infection and multiple organ dysfunction. Methods: A prospective case-control study was performed, including 67 patients admitted to the intensive care unit with an infection and multiple organ dysfunction in whom cholesterol, procalcitonin, and C-reactive protein levels were measured on admission and during the course of treatment. Results: The associations between in-hospital mortality and procalcitonin, C-reactive protein, and cholesterol levels were analyzed. Logistic regression analysis showed that cholesterol (odds ratio [OR], 1.858; 95% CI, 1.170–2.949; P = 0.009) and C-reactive protein (OR, 4.408; 95% CI, 2.019–9.624; P < 0.001) levels were predictors of mortality. A receiver operating characteristic curve analysis yielded an area under the curve (AUC) of 0.774 and 95% CI of 0.693–0.855 (P < 0.001) for C-reactive protein, an AUC of 0.66 and 95% CI of 0.535–0.784 (P = 0.019) for procalcitonin, and an AUC of 0.654 and 95% CI of 0.593–0.715 (P < 0.001) for cholesterol as predictors of mortality. When combined with the bioscore system for mortality, these markers yielded an AUC of 0.845 and 95% CI of 0.770–0.921 (P < 0.001), with sensitivity of 89.1% and specificity of 83.1%. Conclusions: The combination of procalcitonin, C-reactive protein, and cholesterol levels in a single scoring system yielded high predictive value for mortality.
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