The [(COD)M(R)] 14 VE complex fragments (COD = 1,5-cyclooctadiene, R = methyl or neopentyl (2,2-dimethylpropyl), M = Pd or Pt) bind to the nucleobases cytosine (Cyt) or uracil (Ura), to the methylated nucleobase derivatives 1-methylcytosine (1MeCyt) or 1-methyluracil (1MeUra), and to the related ligand caffeine (Caf) (1,3,7-trimethylxanthine). From the potentially bridging cytosinate ligand a binuclear platinum complex [(COD)(Me)Pt(N3-cytosinate-N1)Pt(Me)-(COD)] + was obtained. The solubility of the corresponding complexes in organic solvents allowed their characterization by multiple ( 1 H, 13 C, and 195 Pt) NMR spectroscopy and in some cases by crystal structure analysis. Relative ligand-metal bond strength were discussed in view of 1 H-195 Pt NMR coupling constants. Further focus lies on the observation of binding isomers, the formation of binuclear species, multiple substitution, and the observed differences between Pt and Pd derivatives. Cytotoxicity experiments on HT-29 colon carcinoma and MCF-7 breast cancer cell lines revealed promising activities for selected platinum COD complexes.
In this paper, we study an e-grocer’s tactical problem of differentiated time slot pricing in attended home delivery. The purpose of differentiating delivery prices is to influence customers’ choice behavior concerning the offered time slots, such that cost-effective delivery schedules on an operational level can be expected and overall profit is maximized. We present a mixed-integer linear programming formulation of the problem, in which delivery costs are anticipated by explicitly incorporating routing constraints, and we model customer behavior by a general nonparametric rank-based choice model. Concerning cost anticipation, we also propose a model-based approximation that enables application to real-world problem sizes. In a setup inspired by an industry partner operating in urban areas, we then perform a comprehensive computational study that reveals the value of the model-based approximation as a supporting instrument for an e-grocer’s pricing decisions in practice. In particular, we demonstrate the superiority of the model-based approximation for real-world problem sizes to several benchmark approaches applied in the scientific literature and in practice (e.g., a unit price approach and other standard pricing heuristics). The online appendix is available at https://doi.org/10.1287/trsc.2017.0738 .
A newly designed comparator was developed for the measurement of both diameter and form of cylinders, spheres and cubes in only a single specimen setting using a contact probe technique. The measurement volume is mm, and the uncertainty aimed at is 0.01 per 100 mm length for calibrations of outer diameters, form and parallelism. The measured values obtained from outer length comparison measurements between three of PTB's standard length comparators and the new comparator agree within nm.
This paper provides an overview of the literature on dynamic pricing with strategic customers. In the past, research on dynamic pricing was mostly concerned with optimally pricing products over time in a market with myopic customers. In recent years, the consideration of strategic customers, who can delay a purchase to take advantage of a future discount, has dramatically increased. This paper's main contribution is the development of a comprehensive classification scheme to structure the field of research and, based upon this, a systematic overview of all relevant papers. We then present in detail the various aspects considered in the literature together with their motivation from industry and state the major findings of the most relevant papers. Further attention is given to important problem extensions proposed in the literature that have been considered in only a few papers and are usually motivated by specific practical applications. Finally, promising directions for future research are indicated.
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