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Institute
Origin of the German Novel
(1927)
This study analyzes storyline structure in three Hausa home videos; Mai Kudi (The Rich Man), Sanafahna (with time truth shall dawn) and Albashi (Salary). The study measures storyline structure in these films against a Hollywood film industry model of story writing “the Hero's Journey”. It uses narrative analysis as its analytical tool, and narrative theory as its framework. After analyzing these videos, the study found that the major elements of storyline structure in Vogler's model formed the framework of the storyline structure in Hausa home videos analyzed. However, in spite of the preponderance of these elements within the storyline structure, there are significant variations to Vogler's model. Specifically, Vogler's model has some twelve stages spread on the universal structure of storytelling, i.e. beginning, middle and end. Few of these stages were found to exist in Hausa narrative structure, perhaps due to cultural differences between Western, Indian and Hausa cultures. The study therefore recommends screenwriters and producers to be aware of the existence of standard models of scriptwriting. It also recommends more training for script writers in the Hausa film industry.
In situ rainwater harvesting has a long history in arid and semi-arid regions of the world buffering water shortages for human consumption and agriculture. In the context of an Integrated Water Resource Management (IWRM) in the Cuvelai Basin in northern Namibia, roof top rainwater harvesting is being introduced to a rural community for the irrigation of household scale gardens for the cultivation of horticulture products. This study elaborates how harvested rainwater can be used for garden irrigation in a sustainable manner evaluating ecologic, economic and social implications. Considering local conditions eight cropping scenarios were designed, including different criteria as well as one and two annual planting seasons. These schemes were tested under present climate conditions and under three future climate change scenarios for 2050 with the help of a tank model designed to model monthly tank inflows and outflows. Special attention was laid on risk and uncertainty aspects of varying inter-annual and interseasonal precipitation and future climate change. A framework for the assessment of sustainability was adapted to the purposes of this study and indicators have been developed in order to assess the cropping and irrigation schemes for sustainability.
The study found that with the given tank size of 30 m³, depending on crop scenario, under optimized conditions a garden area of 60 to 90 m³ can be irrigated. The choice of crops highly impacts water use efficiency and economic profitability, compared to the considerably lower impact of amount of annual planting seasons and future climate change. In the case of worsening future climate conditions, adaptation measures need to be taken as especially the economic as well as the environmental situation are expected to exacerbate due to expected decreases in yields and revenues. Already under present conditions however, the economic dimension represents the most limiting factor to sustainability, particularly due to the excessive investment costs of the rainwater harvesting and gardening facility. Nonetheless, rainwater harvesting in combination with gardening can be regarded as successful in securing household nutrition, providing sufficient horticulture products for household consumption or market sale. At the same time with the optimal choice of crops the investment costs can be recovered within the end of the lifespan of the facility.
The ALICE Time Projection Chamber (TPC) is the main tracking detector of ALICE which was designed to perform well at multiplicities of up to 20000 charged primary and secondary tracks emerging from Pb-Pb collisions. Successful operation of such a large and complex detector requires an elaborate calibration and commissioning. The main goal for the calibration procedures is to provide the information needed for the offline software for the reconstruction of the particle tracks with sufficient precision so that the design performance can be achieved. For a precise reconstruction of particle tracks in the TPC, the calibration of the drift velocity, which in conjunction with the drift time provides the z position of the traversing particles, is essential. In this thesis, an online method for the calibration of the drift velocity is presented. It uses the TPC Laser System which generates 336 straight tracks within the active volume of the TPC. A subset of these tracks, showing sufficiently small distortions, is used in the analysis. The resulting time dependent drift velocity correction parameters are entered into a database and provide start values for the offline reconstruction chain of ALICE. Even though no particle tracking information is used, the online drift velocity calibration is in agreement with the full offline calibration including tracking on the level of about 2 x 10 exp (-4). In chapter 2, a short overview of the ALICE detector, as well as the data taking model of the ALICE, is given. In chapter 3, the TPC detector is described in detail. Lastly in chapter 4, the online drift velocity calibration method is presented, together with a detailed description of the TPC laser system.
As a part of this thesis, a Monte Carlo-based code has been developed capable of simulating the transition of proton beam properties to neutron beam properties as it occurs in the Li-7(p, n)Be-7 reaction. It is able to reproduce not only the angle-integrated energy distributions but it is also capable of predicting the angle-dependent neutron spectra as measured at Forschungszentrum Karlsruhe (Karlsruhe, Germany) and Physikalisch-Technische Bundesanstalt (Braunschweig, Germany). Since the code retains all three spatial dimensions as well as all three velocity dimensions, it provides very detailed information on the neutron beam. The resulting data can aid in many different aspects, for example it can be used in shielding construction, or for lithium target design. In this work, the code is used to predict the neutron beam properties expected at the Frankfurt Neutron Source at Stern-Gerlach-Zentrum (FRANZ) facility. For different proton beam energies, the neutron distribution in x/p_x, y/p_y, and z/p_z is shown as well as a Mollweide projection, which illustrates the kinematic collimation effect that limits the neutron cone opening angle to less than 180 degree.
Computing the diameter of a graph is a fundamental part of network analysis. Even if the data fits into main memory the best known algorithm needs O(n2) [3] with high probability to compute the exact diameter. In practice this is usually too costly. Therefore, heuristics have been developed to approximate the diameter much faster. The heuristic “double sweep lower bound” (dslb) has reasonably good results and needs only two Breadth-First Searches (BFS). Hence, dslb has a complexity of O(n+m). If the data does not fit into main memory, an external-memory algorithm is needed. In this thesis the I/O model by Vitter and Shriver [4] is used. It is widely accepted and has produced suitable results in the past. The best known external-memory BFS implementation has an I/O-complexity of W(pn B + sort(n)) for sparse graphs [5]. But this is still very expensive compared to the I/O complexity of sorting with O(N/B * logM/B (N/B)). While there is no improvement for the external-memory computation of BFS yet, Meyer published a different approach called “Parallel clustering growing approach” (PAR_APPROX) that is a trade-off between the I/O complexity and the approximation guarantee [6].
In this thesis different existing approaches will be evaluated. Also, PAR_APPROX will be implemented and analyzed if it is viable in practice. One main result will be that it is difficult to choose the parameter in a way that PAR_APPROX is reasonably fast for every graph class without using the semi external-memory Single Source Shortest Path (SSSP) implementation by [1]. However, the gain is small compared to external-memory BFS using this approach. Therefore, the approach PAR_APPROX_R will be developed. Furthermore, a lower bound for the expected error of PAR_APPROX_R will be proved on a carefully chosen difficult input class. With PAR_APPROX_R the desired gain will be reached.
Asymptotic giant branch (AGB) stars are initially low and intermediate mass stars undergoing recurrent hydrogen and helium shell burning. During the advanced stage of stellar evolution AGB stars follow after the helium core burning ceased and are located in the AGB of the Hertzsprung-Russell Diagram. One characteristic is their ability of element synthesis, especially carbon and nitrogen, which they eject in large amounts into the interstellar medium. But AGB stars also feature a slow-neutron capture process called s-process which forms approximately 50 % of all elements between Fe and Bi. The initial mass function emphasizes the importance of the synthesized ejecta of AGB stars since they are much more abundant than massive stars. Therefore, the abundance evolution of many elements in the universe is drastically affected by AGB stars. In order to understand chemical evolution in the universe their behavior must be known since their first appearance. In previous times less heavy elements were produced and available. Hence AGB stars with lower heavy element content, which means lower metallicity, must be investigated. They appear to behave substantially differently than stars of higher metallicity. Another issue is that AGB stars have mass-dependent characteristics from which follows a division into low-mass, massive and super AGB stars. Super AGB stars have the most open issues due to their large masses and initial mass boundaries that separate them from massive stars. Due to large spectroscopic surveys in the last years, many low metallicity stars have been analyzed. These findings make it necessary to complement those studies through stellar modeling. This work makes a step in this direction. The AGB star masses under investigation are 1M⊙, 1.65M⊙, 2M⊙, 3M⊙, 4M⊙, 5M⊙, 6M⊙ and 7M⊙ which include low-mass, massive and super AGB stars. Metallicities of Z = 6 x 10 exp-3 and Z = 1 x 10 exp-4 (for comparison, solar Z ~ 0.02) were chosen. These results are an extension of already available data, covering solar and half-solar metallicity, but without super AGB stars. Therefore physics input includes mainly well-established approaches rather than new theories. New physical approaches are included due to the low metallicity which makes the results a unique set of models. Additionally, extensive s-process network calculations lead to production factors of all included elements and isotopes. The s-process signatures of those stars were analyzed. The stellar evolution simulations presented in this work have been utilized for rate and especially sensitivity studies. One approach done was to analyze s-process branchings at 95Zr and 85Kr for stars at 3M⊙ with Z = 1 x 10 exp-2 and Z = 1 x 10 exp-3 respectively.