This empirical study is aimed to analyze the determinants of residential water demand and performed water use practice at household level in Hawassa. This study will fill the research gap and information on factors affecting household water demand in regions being water scarce and will provide useful information for policy-makers and water utility planners in order to use scarce drinking water resource more efficiently. In this study the proposed potential factors determine household water demand in Hawassa were; Socioeconomic and demographic characteristics, the average monthly household expenditure, use of water appliances and household water use patterns for various purposes, and household awareness towards water source conservation. The cross sectional survey was done in 169 rondomly selected households. The collected Data was analyzed using multiple regression models with different functional forms (linear, semi-log) and heteroskedaticity corrected model was also used in each of functional forms to examine the structural relationship between the quantity of water demand and explanatory variables. The gretl statisitcal software package was used. The descriptive statistics analysis was also followed to present results in tables, charts and graphs (mean, median, minimum, maximum, frequency...

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ABSTRACT Background: The launch of the Millennium Development Goal4, in 2000 and the national and international mobilization it spurs results to a decline of child under age five mortality rate from 90 per 1000 living birth in 1990 to 40 per thousands in 2012. That decline however is not evenly distributed across the globe and the majority of countries in the Sub-Saharan African region continue to experience a higher rate of under age five mortality than expected in 2013. Within country disparities in child mortality and it determinants was suggested to account for the lagging of those countries to reduce their under age five mortality rate. Objective: the study examined the variation in child mortality across statistical regions in Cote d’Ivoire and the community level factors that can explain those variations after controlling child, the mothers and the household characteristics. Method: The study used data obtained from the 2011-2012 Cote d’Ivoire’ Demography Health Survey. The study population consisted of 7511 children born within the 5 years preceding the survey. Frequency tables were created to show the distribution of the selected child mortality determinants across regions in Cote d’ivoire and three Logistic models were run to measure the association between the under age five mortality and the selected determinants. Results: The proportion of under age five mortality in the study population was 8.52%. There was a statistically significant variation in child mortality across regions. At the community level, the proportion of mothers with a least a secondary education was associated with under-age five mortality risk (OR=0.99, CI=0.98-0.99). There was no significant association between child mortality and the other selected community factors included in the study. Conclusion: This study reveals a significant variation of under age five mortality rate across region in Cote d’Ivoire, even after controlling or child, mother and household level factors. The findings of this study suggest a need for further exploration of the factors that can explain those differences.

The following dissertation investigates a problem related to the practice of quantum tomography, where one usually estimates the parameters associated with quantum states or measurements. In particular, the question answered is whether and how one could detect if states and measurements are correlated. A similar question answered is how one could detect state-preparation non-localities and measurement non-localities in multiqudit systems. The solution involves an analysis of certain matrix quantities called \emph{partial determinants}. Partial determinants are an application of the Born rule that can be interpreted as tomography over a loop in the space of state and measurement settings. From this perspective, the notion of state and observable become \emph{non-holonomic} | that is, state and observable parameters can be defined ``locally'' over each setting but not globally over all settings. As such, state and measurement parameters are not estimated because such estimated values don't exist in correlated systems, but rather the inability to estimate such values is quantified. Therefore, partial determinants are a measure of the amount of contradiction that would result from any claim of such a estimated values by propagating these estimates through a `tomography loop' of data collected by various experiments. Such measures of contradiction are generally known as \emph{holonomies}.

Philosophiae Doctor - PhD / Self-incompatibility (SI) is a major mechanism that prevents inbreeding in ow-ering plants, which was identi ed in Rosaceae, Solanaceae and Scrophulariace. In these families, SI is gametophytic and retains inter-speci c genetic variations by out-crossing promotion. Self-incompatibility is genetically controlled by an S- locus where both male (pollen) and female (pistil) S-determinants are encoded. The female determinant (SRNase) has been extensively studied, whereas its male counterpart (SLF/SFB) has only recently been characterized as a pollen-expressed protein, which encodes for an F-box domain. However, the exact mechanism of in- teraction between SLF/SFB and SRNase is still largely unclear in Rosaceae. This study takes a closer look at the mechanism of self-incompatibility to gain a clearer understanding of the ligand-receptor binding mechanism of SI using molecular evolutionary analysis, structure prediction and binding speci city characteriza- tion, the outcome of which, will translate into a guideline for future studies. The major aims of this study were to derive an evolutionary pattern for GSI in Rosaceae subfamilies and to further assess the collaborative non-self recognition in Malus domestica Borkh.. The evolutionary analysis suggests a di erence in the evolution- ary pattern of Prunoideae and Maloideae S-genes, hence proposing a di erence in their GSI systems. Furthermore, sites responsible for this divergence are identi ed as critical amino acids in GSI function. To maintain GSI it is expected that the S-genes must be linked and co-evolve as a genetic unit. The results of this study show that these genes have co-existed, while SRNase have experienced a higher rate of evolution compared to SLF, thus rejecting the co-evolution of these genes in Maloideae. Furthermore, positively selected sites of S-locus pistil and pollen genes were identi ed that are likely to be responsible for speci city determination. Di erent numbers of these sites are found for both S-genes, while SRNase holds a larger number of positively selected sites. Additionally a model of speci city is introduced that supports the collaborative non-self recognition in Malus GSI, while critical sites responsible for such speci city are proposed and mapped to the predicted ancestral tertiary structure of SRNase and SLF/SFB. The identi cation of regions determining pollen pistil speci city as well as proposing a Collaborative Non-self Recognition model for Malus domestica Borkh. provide greater in-sight into how pollen-pistil communication system works in Maloideae (Rosaceae subfamily).

Space-Time Adaptive Processing is a signal processing technique that uses an adaptive array to help remove nonhomogeneous data points from a dataset. Since the early 1970s, STAP has been used in radar systems for their ability to "filter clutter, interference and jamming signals. One major flaw with early STAP radar systems is the reliance on non-robust estimators to estimate the noise condition. When even a single outlier is present, the earliest STAP radar systems would break down, causing the target to be missed. Many algorithms have been developed to successfully estimate the noise condition of the dataset when outliers are present. As recently as 2007, a STAP radar processing system based on Adaptive Complex Projection Statistics has been proposed and successfully"filters out the noise condition even when outliers are present. However, this algorithm requires the data to be entirely real. Radar data, which consists of amplitude and phase, is complex valued. Therefore, it must be converted into its rectangular components before processing can commence. This introduces many additional processing steps which significantly increase the computing time. The STAP radar algorithm of this thesis overcomes the problems with early radar systems. It is based on the Complex GM Wiener Filter (CGMWF) with the Minimum Covariance Determinant (MCD) for outlier detection. The robustness of the conventional Wiener "lter is enhanced by robust Huber Estimator, and using the MCD enables processing entirely in the complex domain. This results in a STAP radar algorithm with a breakdown point of nearly 35% and that enables processing entirely in the complex domain for fewer computing steps. / Master of Science

Linear characters of finite groups can be extended to take k operands. The basics of such a k-fold extension are detailed. We then examine a proposition by Johnson and Sehgal pertaining to these k-characters and disprove its converse. Probabilistic models can be applied to random walks on the Cayley groups of finite order. We examine random walks on dihedral groups which converge after a finite number of steps to the random walk induced by the uniform distribution. We present both sufficient and necessary conditions for such convergence and analyze aspects of algebraic geometry related to this subject.

This work is concerned with the use of different "effective" nucleon-nucleon interactions in the calculation of binding energies and spectra of some of the oxygen isotopes. The variational procedure consists of using a complete set of Slater determinant wave functions, having the same total M value for the projection of the angular momentum, in order to minimize the ground states of various nucleonic configurations in.the 2s-ld nuclei. The parameters obtained are used'in the subsequent diagonalization of the Hamiltonian and its eigenvalues are interpreted as energy eigenvalues. The calculations performed in this work led to the conclusion that the density dependence of the effective force is extremely important and should not be neglected, at least in the calculation of binding energies. / Thesis / Master of Science (MS)

学位プログラム名: 京都大学大学院思修館 / 京都大学 / 0048 / 新制・課程博士 / 博士(総合学術) / 甲第21232号 / 総総博第4号 / 新制||総総||1(附属図書館) / 京都大学大学院総合生存学館総合生存学専攻 / (主査)教授 池田 裕一, 教授 IALNAZOV Dimiter Savov, 教授 諸富 徹 / 学位規則第4条第1項該当 / Doctor of Philosophy / Kyoto University / DFAM

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