Examining the interaction of marketing and financing decisions in a dynamic environment Die Analyse der Beziehungen von Marketing- und Finanzierungsentscheidungen in einem dynamischen Umfeld

The market success of a new product critically depends on the marketing strategy that is adopted during the introductory phase of its life cycle. The decision theoretic marketing literature provides useful insights to this problem through the application of new product diffusion models. While most of the diffusion models incorporate only marketing variables such as price or advertising into the adoption rates of the new product, we introduce the issue of financial decision making and argue that the success of a new product not only depends on an optimal marketing mix strategy but also on the financial decisions of a firm. We adopt a simple diffusion model and show that in case with demand uncertainty and limited liability more leverage (a higher debt equity ratio) causes the firm to be more aggressive in the product market, i.e., to reduce the price of the product. Our findings suggest that marketing decisions should not be taken in isolation but should be coordinated with financial variables.     

Beiträge zur Kenntnis der Bäckereihefe

European Food Research and Technology -     

Beiträge zur Herstellung der Backhefe

European Food Research and Technology -     

The use of microwave irradiation for the easy synthesis of graphene-supported transition metal nanoparticles in ionic liquids

Stable ruthenium or rhodium metal nanoparticles were supported on chemically derived graphene (CDG) surfaces with small and uniform particle sizes (Ru 2.2 ± 0.4 nm and Rh 2.8 ± 0.5 nm) by decomposition of their metal carbonyl precursors by rapid microwave irradiation in a suspension of CDG in the ionic liquid 1-butyl-3-methylimidazolium tetrafluoroborate. The graphene-supported hybrid nanoparticles were shown to be active and could be re-used at least 10 times as catalysts for the hydrogenation of cyclohexene and benzene under organic-solvent-free conditions with constant activities up to 1570 mol cyclohexane × (mol metal)⁻¹ × h⁻¹ at 4 bar and 75 °C.     

TiN薄膜生长的无格点Kinetic Monte Carlo模拟

本文介绍了采用无格点Kinetic Monte Carlo（KMC）方法，模拟TiN薄膜在TiN（001）基底表面上外延生长的仿真结果。在此无格点KMC方法中，使用了Dimer算法在势能面中搜索鞍点和低能盆底。仿真的结果证实，此无格点KMC方法对于仿真二元薄膜外延生长是有效的。本文中还讨论了无格点KMC的计算量问题、运算过程中Dimer的初始位置问题和势能面中浅盆底问题。     

Using Boolean factors for the construction of an artificial neural networks

ABSTRACT

We propose a novel approach to define Artificial Neural Network(ANN) architecture from Boolean factors. ANNs are a subfield of machine learning applicable to several areas of life. However, defining its architecture for solving a given problem is not formalized and remains an open research problem. Since it is difficult to look into the network and figure out exactly what it has learnt, the complexity of such a technique makes its interpretation more tedious. We propose in this paper to build feedforward ANNs using the optimal factors obtained from the Boolean context representing a data. Since optimal factors completely cover the data and therefore give an explanation to these data, We could give an interpretation to the neurons activation and justify the presence of a neuron in our proposed neural network. We show through experiments and comparisons on the use data sets that this approach provides relatively better results for some key performance measures.