760 research outputs found

    Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures

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    To create profits, traders must time the market correctly and enter and exit positions at ideal times. Finding the optimal time to enter the market can be quite daunting. The soybean market can be volatile and complex. Weather, sentiment, supply, and demand can all affect the price of soybeans. Traders typically use either fundamental analysis or technical analysis to predict the market for soybean futures\u27 contracts. Every agricultural future\u27s contract or security contract is different in its nature, volatility, and structure. Therefore, the purpose of this research is to optimize the moving average convergence divergence parameter values from traditionally used integers, to values that optimize the profit of the soybean market

    The Effect of Corporate Support Programs on Employees’ Innovative Behavior: A Cross-Cultural Study

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    This article establishes a theoretical model that sheds light on whether corporate support programs can foster employees’ innovative behavior across nations and which national cultural dimensions moderate this relationship. To validate the arguments empirically, this research consists of two sequential, independent studies. The first study uses secondary data from the 2011 Global Entrepreneurship Monitor special report. Analysis of responses from 11,560 full-time employees in 13 countries shows that the relationship between support and innovative behavior is more positive when the nation's levels of power distance and masculinity are low and individualism is strong. A second experimental study is conducted in Germany and China using employees’ individual behavior as the dependent variable and corporate support programs differentiated into three types of corporate support (providing time, providing budget, and providing advice) as the independent variable. Findings indicate that all three types of corporate support programs positively impact employees’ innovative behavior in the sample from Germany, at least indirectly via feasibility and desirability judgments as mediators, but no significant relationships in the sample from China. This study contributes to the research stream on employees’ innovative behavior and corporate support programs by adding national cultural properties as environmental factors. In addition, this study investigates the mediating effect of feasibility and desirability judgments between three types of corporate support programs and innovative behavior. This study also contributes to innovation research in general and to research on employees’ innovative behavior in particular by building and validating a multilevel model empirically

    Selective metal‐complexation on polymeric templates and their investigation via isothermal titration calorimetry

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    Selective complexation of metal ions represents a powerful tool for the development of versatile supramolecular architectures. While research in the field of molecular devices and machinery is sophisticated, the selective formation of metal complexes is not prevalent in polymer chemistry. Thus, the implementation of orthogonal binding concepts into a polymeric matrix is presented. In this context, an end‐functionalized poly( N ‐isopropylacrylamide) (PNIPAm) carrying zinc‐porphyrin (ZnTPP) as well as a terpyridine (tpy) ligand side by side is utilized. With these binding sites, the polymer can simultaneously interact with a pyridine moiety via a ZnTPP interaction and a terpyridine unit by the formation of a bis‐terpyridine complex. The complexation behavior of this polymer and different model compounds is intensively investigated by isothermal titration calorimetry. The obtained results indicate that the reported orthogonality of these two systems is successfully transferred into a functional polymeric architecture

    Metallo-Supramolecular Complexation Behavior of Terpyridine- and Ferrocene-Based Polymers in Solution—A Molecular Hydrodynamics Perspective

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    The contribution deals with the synthesis of the poly(methacrylate)-based copolymers, which contain ferrocene and/or terpyridine moieties in the side chains, and the subsequent analysis of their self-assembly behavior upon supramolecular/coordination interactions with Eu 3+ and Pd 2+ ions in dilute solutions. Both metal ions provoke intra and inter molecular complexation that results in the formation of large supra-macromolecular assembles of different conformation/shapes. By applying complementary analytical approaches (i.e., sedimentation-diffusion analysis in the analytical ultracentrifuge, dynamic light scattering, viscosity and density measurements, morphology studies by electron microscopy), a map of possible conformational states/shapes was drawn and the corresponding fundamental hydrodynamic and macromolecular characteristics of metallo-supramolecular assemblies at various ligand-to-ion molar concentration ratios ( M / L ) in extremely dilute polymer solutions ( c [ η ] ≈ 0.006 ) were determined. It was shown that intramolecular complexation is already detected at ( L ≈ 0.1 ), while at M / L > 0.5 solution/suspension precipitates. Extreme aggregation/agglomeration behavior of such dilute polymer solutions at relatively “high” metal ion content is explained from the perspective of polymer-solvent and charge interactions that will accompany the intramolecular complexation due to the coordination interactions

    Improved modelling of helium and tritium production for spallation targets

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    Reliable predictions of light charged particle production in spallation reactions are important to correctly assess gas production in spallation targets. In particular, the helium production yield is important for assessing damage in the window separating the accelerator vacuum from a spallation target, and tritium is a major contributor to the target radioactivity. Up to now, the models available in the MCNPX transport code, including the widely used default option Bertini-Dresner and the INCL4.2-ABLA combination of models, were not able to correctly predict light charged particle yields. The work done recently on both the intranuclear cascade model INCL4, in which cluster emission through a coalescence process has been introduced, and on the de-excitation model ABLA allows correcting these deficiencies. This paper shows that the coalescence emission plays an important role in the tritium and 3He^3He production and that the combination of the newly developed versions of the codes, INCL4.5-ABLA07, now lead to good predictions of both helium and tritium cross sections over a wide incident energy range. Comparisons with other available models are also presented.Comment: 6 pages, 9 figure
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