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The aim of this bachelor thesis is to compare and empirically test the use of classification to improve the topic models Latent Dirichlet Allocation (LDA) and Author Topic Modeling
(ATM) in the context of the social media platform Twitter. For this purpose, a corpus was classified with the Dewey Decimal Classification (DDC) and then used to train the topic models. A second dataset, the unclassified corpus, was used for comparison. The assumption that the use of classification could improve the topic models did not prove true for the LDA topic model. Here, a sufficiently good improvement of the models could not be achieved. The ATM model, on the other hand, could be improved by using the classification. In general, the ATM model performed significantly better than the LDA model. In the context of the social media platform Twitter, it can thus be seen that the ATM model is superior to the LDA model and can additionally be improved by classifying the data.
This work derives the value of the neutron capture cross section of 60Fe at the energy of kT = 25 meV. Iron plays an important role in stellar nucleosynthesis, because it is a seed material for the s-process, a neutron capture process in which the elements between iron and bismuth are synthesized.
To determine the thermal neutron cross section of 60Fe, an iron sample produced in the framework of the ERAWAST1 program at the Paul Scherrer Institute in Switzerland was irradiated at the research reactor TRIGA2 at Johannes Gutenberg University in Mainz, Germany. Before the irradiation, the number of 60Fe particles in the sample was calculated using the decay scheme of 60Fe. There were (8.207 ± 0:066 stat 0:298 syst) * 10 14 60Fe particles in the sample.
The irradiation of the sample took place in May 2012. The counting of the reaction product, 61Fe, was undertaken using a HPGe detector located in a laboratory at Johannes Gutenberg University in Mainz. Knowing the number of 60Fe particles in the sample, the number of produced 61Fe particles and the neutron flux from the reactor, the thermal neutron capture cross section of ρth60Fe = (0.203 ± 0:021 stat 0:024 syst) b could be determined.
The determination of the thermal neutron capture cross section at the energy of kT = 25 meV constitutes to the first at this energy. There was already a measurement of the neutron capture cross section of 60Fe at the energy of kT = 25 keV in Karlsruhe in Germany. The result of the measurement was 25 keV = (9.9 ± 2:8 syst 1:4 stat) mb and was published in the year 2009 [14].
Adding datapoints for the cross section at different energies improves extarpolation and helps verification of theoretical models for elemental synthesis. For this reason, a measurement of the 60Fe neutron capture cross section at the energy of kT = 90 keV is planned at Goethe University Frankfurt, Germany.
Having the neutron capture cross section of 60Fe at the energy of kT = 25 keV measured in the year 2009 in Karlsruhe [14], at the energy of kT = 25 meV measured in May 2012 at Johannes Gutenberg University in Mainz and at the planned energy of kT = 90 keV at Goethe University Frankfurt, there will be three points for the extrapolation of the values for the neutron capture cross section of 60Fe. This will lead to a significant reduction in uncertainty with respect to existing theoretical discrepancies.
The following thesis is the description and the analysis of time resolution measurements of the plastic scintillator protorypes bar with PMT (photomultiplier tube) readout, performed with a 31 MeV electron beam at the HZDR (Helmholtz-Zentrum Dresden-Rossendorf) [1]. Similar bars will be used as building blocks for the NeuLAND detector (new large area neutron detector) - a ToF (time of flight) wall within the R3B setup (Reactions with Relativistic Radioactive Beams [2]) at the future FAIR facility (GSI Darmstadt [3]). The superconducting ELBE (electron linear-accellerator for beams of high brilliance and low emittance) was used as an electron source. The scintillation material used was RP408.
Two series of measurements were made within three months. In the first series, three bars of different sizes (200 x 5 x 5 cm3; 200 x 3 x 3 cm3; 300 x 5 x 5 cm3, the latter was made by coupling one 100 cm bar with a 200 cm bar using silicon grease) were used in the experiment consecutively. They had one Hamamatsu R8619 photomultiplier tube with an active diameter of 22 mm attached to each side with silicon grease. A measurement with the 200 x 5 x 5 cm3 bar without silicon grease was also performed.
In the second series, two equal scintillator bars (270 x 5 x 5 cm3 with a 10 cm light guide) on each side were used. Measurements with and without silicon coupling as well as with two different types of PMTs (R8619 and R2059) were executed.
Time and charge signals were processed with the TACQUILA electronic board. The time resolution was measured with the very precise pulsed electron signal of the accelerator. The time resolution measurements resulted in ρ200x5x5 ~ 159 ps; ρ200x5x5,no silicon ~ 162 ps; ρ200x3x3 ~ 153 ps; ρ300x5x5 ~ 204 ps.
For the second date they resulted in ρR8619 ~ 149 ps; ρR8619, no silicon ~ 175 ps; ρR2059 ~ 141 ps.
More tests and analysis is required until the results are definite.
This study explores anomalies in stock returns found in their seasonal patterns. These are verified through multiple trading strategies based on past-performance returns that require information up to 20 years in the past. Some of the presented strategies deliver relatively high performance, especially for those strategies based on returns in the same calendar month from past years. In order to minimize any possible bias due to omitted delisting returns, those are incorporated into the monthly returns. Furthermore, to find an explanation for this seasonal effect, behavioral theories are discussed and the returns are controlled for risk and mispricing factors. However, empirical evidence indicates no evidence of explanation based on these factors for the seasonal patterns. Furthermore, possible reasons why the returns persist are discussed.
Reproducible annotations
(2022)
This bachelor thesis presents a software solution which implements reproducible annotations in the context of the UIMA framework. This is achieved by creating an automated containerization of arbitrary analysis engines and annotating every analysis engine configuration in the processed CAS document. Any CAS document created by this solution is self sufficient and able to reproduce the exact environment under which it was created.
A review of the state-of-the art software in the field of UIMA reveals that there are many implementations trying to increase reproducibility for a given application relying on UIMA, but no publication trying to increase the reproducibility of UIMA itself. This thesis improves upon that technological gap and provides a throughout analysis at the end which shows a negligible overhead in memory consumption, but a significant performance regression depending on the complexity of the analysis engine which was examined.
Various concurrency primitives had been added to functional programming languages in different ways. In Haskell such a primitive is a MVar, joins are described in JoCaml and AliceML uses futures to provide a concurrent behaviour. Despite these concurrency libraries seem to behave well, their equivalence between each other has not been proven yet. An expressive formal system is needed. In their paper "On proving the equivalence of concurrency primitives", Jan Schwinghammer, David Sabel, Joachim Niehren, and Manfred Schmidt-Schauß define a universal calculus for concurrency primitives known as the typed lambda calculus with futures. There, equivalence of processes had been proved. An encoding of simple one-place buffers had been worked out. This bachelor’s thesis is about encoding more complex concurrency abstractions in the lambda calculus with futures and proving correctness of its operational semantics. Given the new abstractions, we will discuss program equivalence between them. Finally, we present a library written in Haskell that exposes futures and our concurrency abstractions as a proof of concept.
Principles of cognitive maps
(2021)
This thesis analyses the concept of a cognitive map in the research fields of geography. Cognitive mapping research is essential as it investigates the relations between cognitive maps and external representations of space that people regularly use by acquiring spatial knowledge, such as maps in geographic information systems. Moreover, cognitive maps, when expanded on semantic maps, explain the relations between people and things in a non-physically environment, where the considered space is not spanned by distance but with other non-spatially variables. Nevertheless, cognitive maps are often distorted. Although a good formation of a cognitive map is vital in navigation processes, cognitive distortions are barely investigated in the field of geography. By analyzing the relevant work, especially Tobler’s first law of geography, a new lexical variant of Tobler’s first law could be stated that could presumably describe a specific distortion in the processing of landmarks in cognitive maps.
When we browse via WiFi on our laptop or mobile phone, we receive data over a noisy channel. The received message may differ from the one that was sent originally. Luckily it is often possible to reconstruct the original message but it may take a lot of time. That’s because decoding the received message is a complex problem, NP-hard to be exact. As we continue browsing, new information is sent to us in a high frequency. So if lags are to be avoided and as memory is finite, there is not much time left for decoding. Coding theory tackles this problem by creating models of the channels we use to communicate and tailor codes based on the channel properties. A well known family of codes are Low-Density Parity-Check codes (LDPC codes), they are widely used in standards like WiFi and DVB-T2. In practical settings the complexity of decoding a received message can be heavily reduced by using LDPC codes and approximative decoding algorithms. This thesis lays out the basic construction of LDPC codes and a proper decoding using the sum-product algorithm. On this basis a neural network to improve decoding is introduced. Therefore the sum-product algorithm is transformed into a neural network decoder. This approach was first presented by Nachmani et al. and treated in detail by Navneet Agrawal in 2017. To find out how machine learning can improve the codes, the bit error rates of the trained neural network decoder are compared with the bit error rates of the classic sum-product algorithm approach. Experiments with static and dynamic training datasets of diverse sizes, various signal-to-noise ratios, a feed forward as well as a recurrent architecture show how to tune the neural network decoder even further. Results of the experiments are used to verify statements made in Agrawal’s work. In addition, corrections and improvements in the area of metrics are presented. An implementation of the neural network to facilitate access for others will be made available to the public.
In this thesis we discussed the expansion behaviour of an ultracold bosonic gas from an initial harmonic confinement. We studied the reaction of the non-interacting system to changes of the trap frequency ω and of the strongly interacting system to changes of the number of Mott insulating particles NMI in the initial state and the interaction U/J. The total number of particles is kept constant for the different simulations, which are performed by means of the Bosonic Gutzwiller approach...
This thesis investigates the linguistic effects of language contact between French and German in Alsace due to the German annexation of this region during World War II. The turbulent, tug-of-war history of Alsace has constantly challenged the Alsatian people to secure a stable cultural and national identity. This study focuses on understanding the development of the linguistic aspect of this Alsatian identity. My hypothesis is that there was a greater French influence on Alsatian speech after World War II due to the anti-German sentiment provoked by the harsh Nazi policies during the war. To test this hypothesis, this study analyzes and compares the type and regularity of lexical borrowings from French into German and from German into French in Alsatian newspapers in 1945.