Bachelor of Science

thesisThis paper will analyze the circumstances and ideologies that informed the British government's treatment of colonial subjects in the years leading up to and during the Irish Famine of 1845. Using nineteenth-century Great Britain as a case study, this paper will also attempt to draw attention to the importance of looking beyond immediate crisis situations in order to better understand the relationship between resources, ideologies, citizens, and the State in a colonial context. I conclude that Britain offered little help to Ireland during the famine years because of deeply-held economic, religious, and racial theories. A meaningful response to famine conditions in Ireland would have translated into a total rejection of the ideas and philosophies that made up the dominate English worldview in the nineteenth century. A dogmatic adherence to this worldview provided a consistent narrative of British superiority that, in turn, justified the subjugation and neglect of the Irish people

Effects of rotation of cotton (Gossypium hirsutum L.) and soybean [Glycine max (L.) Merr.] crops on soil fertility in Elizabeth, Mississippi, USA

The effects of cotton (Gossypium hirsutum L.): soybean [Glycine max (L.) Merr.] rotation on the soil fertility levels are limited. An irrigated soybean: cotton rotation experiment was conducted from 2012 through 2015 near Elizabeth, Mississippi, USA. The crop rotation sequences were included continuous cotton (CCCC), continuous soybean (SSSS), cotton-soybean-cotton-soybean (CSCS), cotton-soybean-soybean-cotton (CSSC), soybean-cotton-cotton-soybean (SCCS), soybean-cotton-soybean-cotton (SCSC). The crop rotation sequences were followed continuous soybean, continuous cotton, cotton followed by soybean, soybean followed by cotton, soybean followed by two years of cotton, and cotton followed by two years of soybean. A weed control treatment of a non-glyphosate post-emergence vs. glyphosate post emergence was used in both crops. Soil samples taken prior to planting each year and in 2016 showed no differences in cation exchange capacity, organic matter, pH, or macro nutrient levels among the rotations, over the five sampling periods nor weed control methods used for either crop

A lack of response of irrigated soybean (Glycine max L. Merr.) in rotation with cotton (Gossypium hirsutum L.) in the Mississippi Delta, USA

The effects of cotton (Gossypium hirsutum L.): soybean [Glycine max (L.) Merr.] rotations on the respective crops are limited. This manuscript discusses the response of irrigated soybean in crop rotation with cotton. An irrigated soybean: cotton rotation experiment was conducted from the year 2012 through 2015 near Elizabeth, MS. The crop rotation sequences were included continuous soybean (SSSS), continuous cotton (CCCC), cotton followed by soybean (SCSC), soybean followed by cotton (CSCS), soybean followed by two year of cotton (SCCS), and cotton followed by two year of soybean (CSSC). The rotations were grown under two production systems conventional and transgenetic with respect to weed control. During this study, a weed control treatment of (pendimethalin pre-emergence vs. glyphosate post-emergence) as included on the soybean plots was used. The soybean yields across rotations within a year were not significantly different. The means yields differed among years (3655.1, 3023.6, 3500.6 and 2600.3 Kg ha-1 for the year 2012, 2013, 2014 and 2015, respectively) and appear related to difference in rainfall/irrigation amounts. The results revealed that the weights of 100 seed samples averaged 13.9g in the year 2015 which differed from the previous years (16.2, 15.6, and 16.2g; 2012, 2013 and 2014, respectively). Therefore, the rotations of cotton with soybean appear to have neither a beneficial or negative effect on soybean yield

An artificial intelligence approach to predicting personality types in dogs

Canine personality and behavioural characteristics have a significant influence on relationships between domestic dogs and humans as well as determining the suitability of dogs for specific working roles. As a result, many researchers have attempted to develop reliable personality assessment tools for dogs. Most previous work has analysed dogs’ behavioural patterns collected via questionnaires using traditional statistical analytic approaches. Artificial Intelligence has been widely and successfully used for predicting human personality types. However, similar approaches have not been applied to data on canine personality. In this research, machine learning techniques were applied to the classification of canine personality types using behavioural data derived from the C-BARQ project. As the dataset was not labelled, in the first step, an unsupervised learning approach was adopted and K-Means algorithm was used to perform clustering and labelling of the data. Five distinct categories of dogs emerged from the K-Means clustering analysis of behavioural data, corresponding to five different personality types. Feature importance analysis was then conducted to identify the relative importance of each behavioural variable’s contribution to each cluster and descriptive labels were generated for each of the personality traits based on these associations. The five personality types identified in this paper were labelled: “Excitable/Hyperattached”, “Anxious/Fearful”, “Aloof/Predatory”, “Reactive/Assertive”, and “Calm/Agreeable”. Four machine learning models including Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Naïve Bayes, and Decision Tree were implemented to predict the personality traits of dogs based on the labelled data. The performance of the models was evaluated using fivefold cross validation method and the results demonstrated that the Decision Tree model provided the best performance with a substantial accuracy of 99%. The novel AI-based methodology in this research may be useful in the future to enhance the selection and training of dogs for specific working and non-working roles

Exploring the use of strategic frameworks in dental practice

This paper explores the use of strategic frameworks in NHS and private dental practice. It reviews the policy context of dentistry and suggests the challenges in this context will require dental practices to prioritise understanding and engagement with a strategic approach. A strategic approach will be required in order to enhance and improve performance. Two specific strategic frameworks will be explored in terms of their relevance to NHS and private dental practic

The types and aspects of front-of-pack food labelling schemes preferred by adults and children.

There is strong interest in front-of-pack labels (FoPLs) as a potential mechanism for improving diets, and therefore health, at the population level. The present study examined Australian consumers' preferences for different types and attributes of FoPLs to provide additional insights into optimal methods of presenting nutrition information on the front of food packets. Much research to date has focused on two main types of FoPLs - those expressing daily intake values for specific nutrients and those utilising 'traffic light' colour coding. This study extends this work by: (i) including the new Health Star Rating system recently introduced in Australia and New Zealand; (ii) allowing a large sample of consumers to self-nominate the evaluation criteria they consider to be most important in choosing between FoPLs; (iii) oversampling consumers of lower socioeconomic status; and (iv) including children, who consume and purchase food in their own right and also influence their parents' food purchase decisions. A cross-sectional online survey of 2058 Australian consumers (1558 adults and 500 children) assessed preferences between a daily intake FoPL, a traffic light FoPL, and the Health Star Rating FoPL. Across the whole sample and among all respondent subgroups (males vs females; adults vs children; lower socioeconomic status vs medium-high socioeconomic status; normal weight vs overweight/obese), the Health Star Rating was the most preferred FoPL (44%) and the daily intake guide was the least preferred (20%). The reasons most commonly provided by respondents to explain their preference related to ease of use, interpretive content, and salience. The findings suggest that a simple to use, interpretive, star-based food label represents a population-based nutrition promotion strategy that is considered helpful by a broad range of consumers

Consumers’ responses to front-of-pack labels that vary by interpretive content

Previous research has shown that front-of-pack labels (FoPLs) can assist people to make healthier food choices if they are easy to understand and people are motivated to use them. There is some evidence that FoPLs providing an assessment of a food’s health value (evaluative FoPLs) are easier to use than those providing only numerical information on nutrients (reductive FoPLs). Recently, a new evaluative FoPL (the Health Star Rating (HSR)) has been introduced to Australia and New Zealand. The HSR features a summary indicator, differentiating it from many other FoPLs being used around the world. The aim of this study was to understand how consumers of all ages use and make sense of reductive FoPLs and evaluative FoPLs including evaluative FoPLs with and without summary indicators. Ten focus groups were conducted in Perth, Western Australia with adults (n=50) and children aged 10-17 years (n=35) to explore reactions to one reductive FoPL (the Daily Intake Guide), an existing evaluative FoPL (multiple traffic lights), and a new evaluative FoPL (the HSR). Participants preferred the evaluative FoPLs over the reductive FoPL, with the strongest preference being for the FoPL with the summary indicator (HSR). Discussions revealed the cognitive strategies used when interpreting each FoPL (e.g., using cut offs, heuristics, and the process of elimination), which differed according to FoPL format. Most participants reported being motivated to use the evaluative FoPLs (particularly the HSR) to make choices about foods consumed as part of regular daily meals, but not for discretionary foods consumed as snacks or deserts. The findings provide further evidence of the potential utility of evaluative FoPLs in supporting healthy food choices and can assist policy makers in selecting between alternative FoPL formats

Clinical Perspectives in Integrating Whole Genome Sequencing into the Investigation of Healthcare and Public Health Outbreaks - Hype or Help?

Bioinformatics and Computational Biology analyses were supported by the University of St Andrews Bioinformatics Unit which is funded by a Wellcome Trust ISSF award [grant 097831/Z/11/Z]. The SHAIPI consortium is funded by the Chief Scientist Office through the Scottish Infection Research Network (SIRN10).Outbreaks pose a significant patient safety risk as well as being costly and time consuming to investigate. The implementation of targeted infection prevention and control (IPC) measures relies on infection prevention and control teams (IPCTs) having access to rapid results that accurately detect resistance, and typing results that give clinically useful information on the relatedness of isolates. At present, determining whether transmission has occurred can be a major challenge. Conventional typing results do not always have sufficient granularity or robustness to unequivocally define strains, and sufficient epidemiological data to establish links between patients and the environment is not always available. Whole genome sequencing (WGS) has emerged as the ultimate genotyping tool, but has not yet fully crossed the divide between research method and routine clinical diagnostic microbiology technique. A clinical WGS service was officially established in 2014 as part of the Scottish Healthcare Associated Infection Prevention Institute (SHAIPI) to confirm or refute outbreaks in hospital settings from across Scotland. In this personal view we describe our experiences that we believe provide new insights into the practical application of the use of WGS to investigate healthcare and public health outbreaks. We also propose solutions to overcome barriers to implementation of this technology in a clinical environment.Publisher PDFPeer reviewe