Language and Identity at School and at Home : Language Shift among Mennonites in Paraguay

This essay has investigated the question of an ongoing language shift from Plattdeutsch and German to Spanish among the Mennonites in Paraguay and the role of the school in this process. The aims of the study were to compare the use of languages among the Mennonites in Asuncion and in the Menno colony and to identify the importance that parents give to the languages and to compare this with a school leader perspective. The aim was also to identify factors that influence the language shift and identify the influence that the shift excerpts on Mennonite values and identity. The results are based on my own observations, interviews with Mennonite women and interviews with key informants who have insight into the school policy issues. The outcome may be used as a basis for educational and language planning. There is a need to consciously sit down and re-define the Mennonite identity and to make the community and the school aware of their responsibility in language maintenance.

Bini Customary law of inheritence : a shift in Igiogbe as a case study

Igiogbe cultural heritage has existed since the founding of Bini kingdom without any controversy; however since the Supreme Court decision in Idehen v Idehen the issue of Igiogbe has assumed new dimensions. Igiogbe - the house in which a Benin man lived and died devolves on his first son absolutely; but since the beginning of 20th century litigation as to the real meaning of Igiogbe and who is entitled to inheritance thereof began to increase. Controversies and increase in litigation over Igiogbe has occasioned a shift in the practice, the Bini’s are not conscious of some of these changes, most of them (Bini’s) still claim Igiogbe practices is rigidly adhered to. This study on Igiogbe inheritance in Bini kingdom is therefore carried out with a view to bringing out the changes in Igiogbe cultural practice using legal and anthropological tools to examine the changes. While laying the foundation for the discussion on the main research object the researcher examined the origin and status of customary law in Nigeria. There after I examined Igiogbe inheritance in Bini kingdom. Igiogbe and the issue of first son were critically analyzed with the aid of the research questions bringing out the changes in Igiogbe concept from traditional practice to modern practice. Study shows Igiogbe practice is still relevant in modern Bini kingdom, however, the shift and changes in practice of this cultural milieu has lead me to ask some fundamental questions which I intend to answer in the broader research work in future.

Response process and test-retest reliability of the Context Assessment for Community Health tool in Vietnam

BACKGROUND: The recently developed Context Assessment for Community Health (COACH) tool aims to measure aspects of the local healthcare context perceived to influence knowledge translation in low- and middle-income countries. The tool measures eight dimensions (organizational resources, community engagement, monitoring services for action, sources of knowledge, commitment to work, work culture, leadership, and informal payment) through 49 items. OBJECTIVE: The study aimed to explore the understanding and stability of the COACH tool among health providers in Vietnam. DESIGNS: To investigate the response process, think-aloud interviews were undertaken with five community health workers, six nurses and midwives, and five physicians. Identified problems were classified according to Conrad and Blair's taxonomy and grouped according to an estimation of the magnitude of the problem's effect on the response data. Further, the stability of the tool was examined using a test-retest survey among 77 respondents. The reliability was analyzed for items (intraclass correlation coefficient (ICC) and percent agreement) and dimensions (ICC and Bland-Altman plots). RESULTS: In general, the think-aloud interviews revealed that the COACH tool was perceived as clear, well organized, and easy to answer. Most items were understood as intended. However, seven prominent problems in the items were identified and the content of three dimensions was perceived to be of a sensitive nature. In the test-retest survey, two-thirds of the items and seven of eight dimensions were found to have an ICC agreement ranging from moderate to substantial (0.5-0.7), demonstrating that the instrument has an acceptable level of stability. CONCLUSIONS: This study provides evidence that the Vietnamese translation of the COACH tool is generally perceived to be clear and easy to understand and has acceptable stability. There is, however, a need to rephrase and add generic examples to clarify some items and to further review items with low ICC.

Rate Scheduling for HSDPA in UMTS

The introduction of a new technology High Speed Downlink Packet Access (HSDPA) in the Release 5 of the 3GPP specifications raises the question about its performance capabilities. HSDPA is a promising technology which gives theoretical rates up to 14.4 Mbits. The main objective of this thesis is to discuss the system level performance of HSDPAMainly the thesis exploration focuses on the Packet Scheduler because it is the central entity of the HSDPA design. Due to its function, the Packet Scheduler has a direct impact on the HSDPA system performance. Similarly, it also determines the end user performance, and more specifically the relative performance between the users in the cell.The thesis analyzes several Packet Scheduling algorithms that can optimize the trade-off between system capacity and end user performance for the traffic classes targeted in this thesis.The performance evaluation of the algorithms in the HSDPA system are carried out under computer aided simulations that are assessed under realistic conditions to predict the results as precise on the algorithms efficiency. The simulation of the HSDPA system and the algorithms are coded in C/C++ language

Optimization heuristic solutions, how good can they be? : With empirical applications in location problems

Combinatorial optimization problems, are one of the most important types of problems in operational research. Heuristic and metaheuristics algorithms are widely applied to find a good solution. However, a common problem is that these algorithms do not guarantee that the solution will coincide with the optimum and, hence, many solutions to real world OR-problems are afflicted with an uncertainty about the quality of the solution. The main aim of this thesis is to investigate the usability of statistical bounds to evaluate the quality of heuristic solutions applied to large combinatorial problems. The contributions of this thesis are both methodological and empirical. From a methodological point of view, the usefulness of statistical bounds on p-median problems is thoroughly investigated. The statistical bounds have good performance in providing informative quality assessment under appropriate parameter settings. Also, they outperform the commonly used Lagrangian bounds. It is demonstrated that the statistical bounds are shown to be comparable with the deterministic bounds in quadratic assignment problems. As to empirical research, environment pollution has become a worldwide problem, and transportation can cause a great amount of pollution. A new method for calculating and comparing the CO2-emissions of online and brick-and-mortar retailing is proposed. It leads to the conclusion that online retailing has significantly lesser CO2-emissions. Another problem is that the Swedish regional division is under revision and the border effect to public service accessibility is concerned of both residents and politicians. After analysis, it is shown that borders hinder the optimal location of public services and consequently the highest achievable economic and social utility may not be attained.

Genetic heterogeneity of residual variance : estimation of variance components using double hierarchical generalized linear models

Background: The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals. Here, linear mixed models with genetic effects in the residual variance part of the model can be used. Such models have previously been fitted using EM and MCMC algorithms. Results: We propose the use of double hierarchical generalized linear models (DHGLM), where the squared residuals are assumed to be gamma distributed and the residual variance is fitted using a generalized linear model. The algorithm iterates between two sets of mixed model equations, one on the level of observations and one on the level of variances. The method was validated using simulations and also by re-analyzing a data set on pig litter size that was previously analyzed using a Bayesian approach. The pig litter size data contained 10,060 records from 4,149 sows. The DHGLM was implemented using the ASReml software and the algorithm converged within three minutes on a Linux server. The estimates were similar to those previously obtained using Bayesian methodology, especially the variance components in the residual variance part of the model. Conclusions: We have shown that variance components in the residual variance part of a linear mixed model can be estimated using a DHGLM approach. The method enables analyses of animal models with large numbers of observations. An important future development of the DHGLM methodology is to include the genetic correlation between the random effects in the mean and residual variance parts of the model as a parameter of the DHGLM.

"Ungerska för rötternas skull" : Språkval och identitet bland andragenerationens ungrare i Sverige och Finland

This thesis is a comparative sociolinguistic study which describes and compares language choice among people with Hungarian background in Sweden and Finland and studies their views on the importance of the Hungarian language and Hungarian cultural heritage for identity. The future prospects of language maintenance and language shift and differences between the Swedish-Hungarians and the Finnish-Hungarians are discussed. A survey was completed among 50 Swedish-Hungarian informants and 38 Finnish-Hungarian informants during 2006. The survey was supplemented by in-depth interviews with 15 informants during 2007. The majority language, either Swedish or Finnish, is much more active in the second-generation Hungarians’ lives than Hungarian is. Hungarian is mostly used in the domain of family relations. The language choices made today are dependent on the informant’s situation during childhood, particularly the parents’ usage of the language and the ability to learn and use Hungarian, chiefly gained through contact with the parents’ mother country and other Hungarian speakers. For some informants, having Hungarian roots forms the sole foundation for belonging, while for others it is this heritage combined with the culture, the ability to use the language or specific character traits. The Hungarian background is most often seen as a treasure offering diversity in life. Finnish-Hungarians are generally more positive about their Hungarian background, have better competence in the language and a greater awareness of the culture than Swedish-Hungarians. The Hungarian language plays a central though often symbolic role. The most important conditions for minority language preservation are language competence together with the desire and opportunity to use it; whereof the largest deficit among second-generation Hungarians is knowledge of the Hungarian language. Only one-fourth of the informants have all of the conditions necessary to be able to maintain the language, which means that Hungarian is an endangered minority language in Sweden and Finland.

Soft computing in biometrics : a pragmatic appraisal

The ever increasing spurt in digital crimes such as image manipulation, image tampering, signature forgery, image forgery, illegal transaction, etc. have hard pressed the demand to combat these forms of criminal activities. In this direction, biometrics - the computer-based validation of a persons' identity is becoming more and more essential particularly for high security systems. The essence of biometrics is the measurement of person’s physiological or behavioral characteristics, it enables authentication of a person’s identity. Biometric-based authentication is also becoming increasingly important in computer-based applications because the amount of sensitive data stored in such systems is growing. The new demands of biometric systems are robustness, high recognition rates, capability to handle imprecision, uncertainties of non-statistical kind and magnanimous flexibility. It is exactly here that, the role of soft computing techniques comes to play. The main aim of this write-up is to present a pragmatic view on applications of soft computing techniques in biometrics and to analyze its impact. It is found that soft computing has already made inroads in terms of individual methods or in combination. Applications of varieties of neural networks top the list followed by fuzzy logic and evolutionary algorithms. In a nutshell, the soft computing paradigms are used for biometric tasks such as feature extraction, dimensionality reduction, pattern identification, pattern mapping and the like.