This thesis explores the practices and perceptions of the courts and professionals in child contact proceedings where domestic violence is an issue and the implications of this for mothers, with particular reference to Practice Direction 12J which establishes the framework for best practice to be followed in such proceedings. In-depth interviews were undertaken with 29 family lawyers and Cafcass officers covering a broad geographic and demographic area, and the reported cases to which the Practice Direction applies were reviewed. The resulting data were analysed utilising discourse analytic and qualitative approaches, drawing on a feminist poststructuralist approach and also insights from autopoietic theory. It was found that the ‘presumption of contact’ and an acontextual, legalistic approach to domestic violence reinforce each other and have a powerful normative influence on professional and judicial perceptions and practices. Dominant parental subjectivities of ‘implacably hostile mothers’ and ‘safe family men’ continue to resonate with many courts and professionals, who focus on promoting contact rather than safeguarding mothers and children. Despite more judges and professionals gaining a broader understanding of the coercively controlling nature of domestic violence, only recent, very severe physical violence warrants the holding of fact-finding hearings on disputed allegations and provides sufficiently ‘cogent’ reasons for family lawyers to support mothers in opposing contact and for courts to refuse contact. The notion that domestic violence is morally reprehensible and a significant failure in parenting, and that women’s desires for safety, wellbeing and autonomy are morally legitimate, finds very little expression. This study concludes that in order to regain a valid and authoritative voice for women in current family law we need to expose and disrupt law’s construction of the ‘scientific truth’ about children’s welfare, the dominant parental subjectivities to which it gives rise, and the ‘safe haven’ of law’s ideal post-separation family.

<p>Our media is saturated with claims of ``facts'' made from data. Database research has in the past focused on how to answer queries, but has not devoted much attention to discerning more subtle qualities of the resulting claims, e.g., is a claim ``cherry-picking''? This paper proposes a Query Response Surface (QRS) based framework that models claims based on structured data as parameterized queries. A key insight is that we can learn a lot about a claim by perturbing its parameters and seeing how its conclusion changes. This framework lets us formulate and tackle practical fact-checking tasks --- reverse-engineering vague claims, and countering questionable claims --- as computational problems. Within the QRS based framework, we take one step further, and propose a problem along with efficient algorithms for finding high-quality claims of a given form from data, i.e. raising good questions, in the first place. This is achieved to using a limited number of high-valued claims to represent high-valued regions of the QRS. Besides the general purpose high-quality claim finding problem, lead-finding can be tailored towards specific claim quality measures, also defined within the QRS framework. An example of uniqueness-based lead-finding is presented for ``one-of-the-few'' claims, landing in interpretable high-quality claims, and an adjustable mechanism for ranking objects, e.g. NBA players, based on what claims can be made for them. Finally, we study the use of visualization as a powerful way of conveying results of a large number of claims. An efficient two stage sampling algorithm is proposed for generating input of 2d scatter plot with heatmap, evalutaing a limited amount of data, while preserving the two essential visual features, namely outliers and clusters. For all the problems, we present real-world examples and experiments that demonstrate the power of our model, efficiency of our algorithms, and usefulness of their results.</p> / Dissertation

This thesis is about new and improved computational methods to analyze complex biological data produced by advanced biotechnologies. Such data is not only very large but it also is characterized by very high numbers of features. Addressing these needs, we developed a set of methods and tools that are suitable to analyze large sets of data, including next generation sequencing data, and built transparent models that may be interpreted by researchers not necessarily expert in computing. We focused on brain related diseases. The first aim of the thesis was to employ the meta-server approach to finding peaks in ChIP-seq data. Taking existing peak finders we created an algorithm that produces consensus results better than any single peak finder. The second aim was to use supervised machine learning to identify features that are significant in predictive diagnosis of Alzheimer disease in patients with mild cognitive impairment. This experience led to a development of a better feature selection method for rough sets, a machine learning method.  The third aim was to deepen the understanding of the role that STAT3 transcription factor plays in gliomas. Interestingly, we found that STAT3 in addition to being an activator is also a repressor in certain glioma rat and human models. This was achieved by analyzing STAT3 binding sites in combination with epigenetic marks. STAT3 regulation was determined using expression data of untreated cells and cells after JAK2/STAT3 inhibition. The four papers constituting the thesis are preceded by an exposition of the biological, biotechnological and computational background that provides foundations for the papers. The overall results of this thesis are witness of the mutually beneficial relationship played by Bioinformatics in modern Life Sciences and Computer Science.

Although most people have experienced word-finding difficulty at one time or another, there are no clinical instruments able to reliably distinguish normal age-related effects from pathology in word-finding impairment. Two experiments were conducted to establish a modified version of the Boston Naming Test (BNT) that includes latency times, the Boston Naming Test of Latencies (BNT-L), in order to improve the instrument's sensitivity to mild to moderate word-finding impairment. Experiment 1: Latency times on the 60-item BNT (Goodglass et al., 2001) for 235 healthy adults' ages 18-89 years were collected on a representative sample. Qualitative features of the BNT items, statistical analyses, IRT, and demographic considerations of age, gender, education, vocabulary, race and culture, helped create a reduced BNT-L version with 15 of the most discriminating items. Statistically sound and sophisticated normative tables are provided that adjust for unseen covariates. Response latencies did not indicate earlier age-related decline in an optimally healthy sample. Experiment 2: Twenty-three patients referred for neuropsychological testing were administered the BNT-L. Patients referred for evaluation of mild cognitive impairment or possible dementia produced significantly different response BNT-L latencies from the healthy sample whereas patients referred for mild brain injury evaluation did not. Normal word-finding problems were discussed in terms of serial stage models of lexical access, as well as in terms of automatic and controlled cognitive processes in younger and older adults. Statistical process for creating a psychometric instrument using latencies is illustrated.

First-in-man (FIM) Phase I clinical trials are part of the critical path in the development of a new compound entity (NCE). Since FIM clinical trials are the first time that an NCE is dosed in human subjects, the designs used in these trials are unique and geared toward patient safety. We develop a method for obtaining the desired response using an adaptive non-linear approach. This method is applicable for studies in which MTD, NOEL,NOAEL, PK, PD effects or other such endpoints are evaluated to determine the desired dose. The method has application whenever a measurable PD marker is an indicator of potential efficacy and could be particularly useful for dose finding studies. The advantages in the adaptive non-linear methodology is that the actual range of dose response and lowest non-effective dose levels are more quickly and accurately determined using fewer subjects than typically needed for a conventional early phase clinical trial. Using the nonlinear logistic model, we demonstrate, with simulations, that the DOSEFIND approach has better asymptotic relative efficiency than a fixed-dose approach. Further, we demonstrate that, on average, this method is consistent in reproducing .the target dose, that it has very little bias. This is an indicator of reproducibility of the method, showing that the long-run average error is quite small. Additionally, DOSEFIND is more cost effective because the sample size needed to obtain the desired target dose is much smaller than that needed in the fixed dose approach.

The diagnosis of cancer in a child is one of the most significant stressors a parent can experience, and research in the area of stress-related effects of illness on parents has emerged in many areas. The majority of studies have focused on the potential or actual negative impact on parents during and after treatment of their child's illness. However, studies that initially set out to explore the difficulties associated with coping with childhood cancer found that parents often reported positive aspects about the experience. There is now increasing interest and support for the study of "positive-health" factors that contribute to protective variables influencing the health and well being of parents, such as benefit finding. The present study aimed to illuminate the process of benefit finding in parents of children with cancer and to develop a theoretical model of this process based on the findings.This grounded theory study resulted in a conceptual model that organized and depicted the constructs and structures related to the process of benefit finding. Through constant comparative analysis, the Basic Psychosocial Problem was identified as being overwhelmed with fear. The parents identified intervening conditions that helped move them from feeling overwhelmed to feeling that they could manage the fear. Many parents identified a specific event, an "epiphenomenon" that created a turning point for them. This event, along with the intervening conditions, moved the parent from being overwhelmed to managing/transforming the fear, which was the Basic Psychosocial Process. The strategies that the parents identified as helping to manage the fear are being in the present, being strong, having faith/maintaining hope, and making meaning out of the event, of which benefit finding was the major component. This entire process occurred within the context of being a parent, as this awareness colored the entire experience. Benefit finding emerged as both a strategy and an outcome within this process and encompassed a growth in character, strengthening of relationships, and a gain in perspective. The theoretical model and substantive theory that emerged during the course of this study provide a way to understand this process in parents of children with cancer.

Understanding movement capabilities of individuals within a landscape is essential to identifying the effects of habitat boundaries on species abundances, ranges, and spread rates. Movement barriers due to habitat fragmentation may reduce mate-finding ability in some species, particularly in heterogeneous landscapes containing low-density populations. This study focuses on the effects of habitat type and edge on mate-finding in an invasive defoliator, the European gypsy moth. Adult European gypsy moth males locate mates by following pheromones released by flightless females. Reduced mate-finding was expected in fields and near forest edges based on geographic variation in invasion rates and pheromone plume dynamics. A male release-recapture experiment using female-baited traps in fields, at forest edges, and in the forest interior showed that mate-finding was highest at forest edges, reduced in fields, and lowest within the forest interior. This suggests that forest edges and moderate habitat fragmentation enhance mate-finding in the gypsy moth.

Presented master thesis defines and investigates Adversarial Cooperative Path-finding problem (ACPF), a generalization of standard Cooperative Path-finding. In addition to the Cooperative path- finding where non-colliding paths for multiple agents connecting their initial positions and destinations are searched, consideration of agents controlled by the adversary is included in ACPF. This work is focused on both theoretical properties and practical solving techniques of the considered problem. ACPF is introduced formally using terms from graph theory. We study computational complexity of the problem where we show that the problem is PSPACE-hard and belongs to EXPTIME complexity class. We introduce and discuss possible methods suitable for practical solving of the problem. Considered solving approaches include greedy algorithms, minimax methods, Monte Carlo Tree Search and adaptation of algorithm for the cooperative version of the problem. Surprisingly frequent success rate of greedy methods and rather weaker results of Monte Carlo Tree Search are indicated by the conducted experimental evaluation. Powered by TCPDF (www.tcpdf.org)

This thesis aims at a close examination of the problematic position of a third party in the proceedings to compel the execution of judgement and the execution proceedings. The only defensive instrument of a third party against the encroachment on their rights is the action to exempt a claim, which is the focus of my thesis. Although it is a defence against the proceedings to compel the execution of judgement and execution proceedings, the hearing about the action to exempt a claim is liable to a special type of the finding trial proceedings. The thesis includes also a short discourse on the proceedings to compel the execution of judgement and execution proceedings as these proceedings precede the action to exempt a claim. The thesis is divided into ten chapters. The first chapter is an introduction to the problems of the action to exempt a claim, which includes setting the target of my thesis. It is linked to the second chapter where I define the main terms used in my thesis. The third chapter is formed by a short historical excursion into the proceedings to compel the execution of judgement, execution proceedings and the action to exempt a claim. This chapter is further divided into subsections according to the law of a particular country and timeline. The following chapter Four contains the...

Master of Public Health - MPH / Background: In South Africa, tuberculosis (TB) detection remains a major problem, as notified cases are estimated to account for only 68% of all incident cases. Health services have relied on passive case finding and this leads to missed or delayed diagnosis. In Cape Town, City Health has embarked on an active surveillance programme to systematically screen all adults seeking health care at PHC facilities for active TB, in order to identify undiagnosed incident TB cases and avert missed opportunities for treating TB. Aim: The aim of this study was to evaluate the effects of an intensified TB screening strategy on changes in facility level TB case finding in City Health PHC facilities in Cape Town.