Wirksamkeit psychologisch-pädagogischer Interventionen im Rahmen einer gerätegestützten Krafttrainingstherapie bei älteren Polizeibeamten mit chronischen lumbalen Rückenschmerzen

Universität Magdeburg, Dissertation, 2016

Brain electrophysiological oscillations and vision loss in occipital stroke patients

Universität Magdeburg, Dissertation, 2016

Analyse des Einflusses familienpolitischer Maßnahmen auf die Geburtenentwicklung am Beispiel des Elterngeldes in Magdeburg und internationaler Vergleich mit Lyon/ Frankreich

Universität Magdeburg, Dissertation, 2016

Einfluss von Polymorphismen im IL 1B-Gen und IL 1 RN-Gen, sowie der assoziierten Haplotypen auf die Entwicklung von Magenkarzinomen und deren prämalignen Konditionen

Universität Magdeburg, Dissertation, 2016

Untersuchung des Einflusses der point spread function (PSF)- und time-of-flight (TOF)-Bilddatenrekonstruktion auf die F18-FDG-PET/CT-basierte Zielvolumendefinition kolorektaler Lebermetastasen

Universität Magdeburg, Dissertation, 2016

Einflussfaktoren auf die Leckagerate nach primärer Sleeve Gastrektomie : eine Datenanalyse der Studie zur Qualitätssicherung in der operativen Therapie der Adipositas der Jahre 2005 bis 2011

Universität Magdeburg, Dissertation, 2016

Über den Einfluss von Palmitin- und Linolsäure auf die Entstehung von Lipidakkumulaten unter der Bedingung von Hyperglykämie und Hyperinsulinämie und den protektiven Wirkungen eines ethanolischen Extraktes aus Gynostemma pentaphyllum in primären Hepatozytenkulturen

Universität Magdeburg, Dissertation, 2015

Ueber Faraday's Kraftlinien /

"Transact. of t. Cambr. Phil. Soc. vol. 10, p. 27, gelesen am 10. Dec. 1855 und 11. Febr. 1856, Maxw. Scient. pap. vol. 1, p. 155."

Vorlesungen über die Prinzipe der Mechanik,

Mode of access: Internet.

Vorlesungen ueber die principe der mechanik.

Vol. 3 (with title: Ludwig Boltzmanns Vorlesungen über die prinzipe der mechanik): Sonderausgabe aus dem werke: Hugo Buchholz, "Angewandte mathematik." Leipzig ... 1916.

Congress of arts and science, Universal exposition, St. Louis, 1904;

"Special works of reference" (accompanying particularly Professor Boltzmann's address)": v. 1, p. [625]-626.

A Kinetic Vlasov Model for Plasma Simulation Using Discontinuous Galerkin Method on Many-Core Architectures

Thesis (Ph.D.)--University of Washington, 2016-03

Interpretation of the temperature dependence of rate constants in biosensor studies

A comparison is made between Arrhenius and transition-state analyses of the temperature dependence of rate constants reported in four published biosensor studies. Although the Eyring transition-state theory seemingly affords a more definitive solution to the problem of characterizing the activation energetics, the analysis is equivocal because of inherent assumptions about reaction mechanism and the magnitude of the transmission coefficient. In view of those uncertainties it is suggested that a preferable course of action entails reversion to the empirical Arrhenius analysis with regard to the energy of activation and a preexponential factor. The former is essentially equivalent to the enthalpy of activation, whereas the magnitude of the latter indicates directly the extent of disparity between the frequency of product formation and the universal frequency factor (temperature multiplied by the ratio of the Boltzmann and Planck constants) and hence the likelihood of a more complicated kinetic mechanism than that encompassed by the Eyring transition-state theory. (C) 2004 Elsevier Inc. All rights reserved.

Influence of lattice interactions on the jahn-teller distortion of the [Cu(H2O)(6)](2+) ion: Dependence of the crystal structure of K-2[Cu(H2O)(6)](SO4)(2x)(SeO4)(2-2x) upon the sulfate/selenate ratio

The temperature dependence of the structure of the mixed-anion Tutton salt K-2[Cu(H2O)(6)](SO4)(2x)(SeO4)(2-2x) has been determined for crystals with 0, 17, 25, 68, 78, and 100% sulfate over the temperature range of 85-320 K. In every case, the [Cu(H2O)(6)](2+) ion adopts a tetragonally elongated coordination geometry with an orthorhombic distortion. However, for the compounds with 0, 17, and 25% sulfate, the long and intermediate bonds occur on a different pair of water molecules from those with 68, 78, and 100% sulfate. A thermal equilibrium between the two forms is observed for each crystal, with this developing more readily as the proportions of the two counterions become more similar. Attempts to prepare a crystal with approximately equal amounts of sulfate and selenate were unsuccessful. The temperature dependence of the bond lengths has been analyzed using a model in which the Jahn-Teller potential surface of the [Cu(H2O)(6)](2+) ion is perturbed by a lattice-strain interaction. The magnitude and sign of the orthorhombic component of this strain interaction depends on the proportion of sulfate to selenate. Significant deviations from Boltzmann statistics are observed for those crystals exhibiting a large temperature dependence of the average bond lengths, and this may be explained by cooperative interactions between neighboring complexes.

Noisy fitness evaluation in genetic algorithms and the dynamics of learning

A theoretical model is presented which describes selection in a genetic algorithm (GA) under a stochastic fitness measure and correctly accounts for finite population effects. Although this model describes a number of selection schemes, we only consider Boltzmann selection in detail here as results for this form of selection are particularly transparent when fitness is corrupted by additive Gaussian noise. Finite population effects are shown to be of fundamental importance in this case, as the noise has no effect in the infinite population limit. In the limit of weak selection we show how the effects of any Gaussian noise can be removed by increasing the population size appropriately. The theory is tested on two closely related problems: the one-max problem corrupted by Gaussian noise and generalization in a perceptron with binary weights. The averaged dynamics can be accurately modelled for both problems using a formalism which describes the dynamics of the GA using methods from statistical mechanics. The second problem is a simple example of a learning problem and by considering this problem we show how the accurate characterization of noise in the fitness evaluation may be relevant in machine learning. The training error (negative fitness) is the number of misclassified training examples in a batch and can be considered as a noisy version of the generalization error if an independent batch is used for each evaluation. The noise is due to the finite batch size and in the limit of large problem size and weak selection we show how the effect of this noise can be removed by increasing the population size. This allows the optimal batch size to be determined, which minimizes computation time as well as the total number of training examples required.