Integrated science and art education for creative climate change communication

An interdisciplinary field trip to a remote marine lab joined graduate students from fine arts and natural resource science departments to think creatively about the topic of climate change and science communication. We followed a learning cycle framework to allow the students to explore marine ecosystems and participate in scientific lectures, group discussions, and an artist-led project making abstract collages representing climate change processes. Students subsequently worked in small groups to develop environmental communication material for public visitors. We assessed the learning activity and the communication product using pre- and post-field trip participant surveys, focus group discussions, and critiques by art and communication experts of the products. Significant changes in knowledge about climate change occurred in program participants. Incorporating artists and the arts into this activity helped engage multiple senses and emphasized social interaction, as well as providing support to participants to think creatively. The production of art helped to encourage peer learning and normalize the different views among participants in communicating about climate change impacts. Students created effective communication products based on external reviews. Disciplinary differences in cultures, language, and standards challenged participating faculty, yet unanticipated outcomes such as potentially transformative learning and improved teacher evaluations resulted.

Towards Empowerment: Narrative Study of Counselling Psychology Trainees and How They Make Sense of Their Personal and Professional Development in the Context of Their Past Experiences

The discipline of counselling psychology continues to grow and change in response to social, economic and political pressures. It has been argued that its quest for a coherent and distinct identity, which emphasises the possibility of the coexistence of multiple approaches, creates an inherently uncertain and dilemmatic training environment that may hinder the development of trainees’ professional identities. In order to gain a deeper understanding of the issue at hand, the aim was to explore how final year trainees and newly qualified counselling psychologists constructed and made sense of their emerging professional identities and what experiences, past and present, they drew upon in the context of their training to shape those identities. Applying narrative inquiry to analyse eight open-ended interviews, eight preliminary themes were originally identified in participants’ narratives, which with further refinements lead to stories of struggle and marginalisation, growth and discovery, and power and resilience. Participants’ stories of struggle and marginalisation emerged in reference to early family dynamics and stressful life experiences, which seemed to also foster a strong identification with the counselling psychology profession, while stories of growth and discovery focused on the importance of having supportive figures, who helped to instill a sense of security and create an atmosphere of openness. It was in this learning environment that participants felt it was possible to develop a more resilient, empowered professional self, which allowed them to shed an earlier sense of struggle and vulnerability. However, where more of an emphasis was placed on power and resilience, there seemed to be less room for participants to express other feelings that came into conflict with their preferred sense of professional self. While there seems to be a need for a ‘safer’ climate, in which trainees could voice and acknowledge anxieties, vulnerabilities and limitations, addressing concerns around power and vulnerability that may be contributing to the silencing of particular voices and identities may be equally important if trainees are to develop coherent and distinct counselling psychologist identities.

Rainfall infiltration and soil hydrological characteristics below ancient forest, planted forest and grassland in a temperate northern climate

How rainfall infiltration rate and soil hydrological characteristics develop over time under forests of different ages in temperate regions is poorly understood. In this study, infiltration rate and soil hydrological characteristics were investigated under forests of different ages and under grassland. Soil hydraulic characteristics were measured at different scales under a 250-year-old grazed grassland (GL), 6-year-old (6yr) and 48-year-old (48yr) Scots pine (Pinus sylvestris) plantations, remnant 300-year-old individual Scots pine (OT) and a 4000-year-old Caledonian Forest (AF). In situ field-saturated hydraulic conductivity (Kfs) was measured, and visible root:soil area was estimated from soil pits. Macroporosity, pore structure and macropore connectivity were estimated from X-ray tomography of soil cores, and from water-release characteristics. At all scales, the median values for Kfs, root fraction, macroporosity and connectivity values tended to AF>OT>48yr>GL>6yr, indicating that infiltration rates and water storage increased with forest age. The remnant Caledonian Forest had a huge range of Kfs (12 to >4922mmh-1), with maximum Kfs values 7 to 15 times larger than those of 48-year-old Scots pine plantation, suggesting that undisturbed old forests, with high rainfall and minimal evapotranspiration in winter, may act as important areas for water storage and sinks for storm rainfall to infiltrate and transport to deeper soil layers via preferential flow. The importance of the development of soil hydrological characteristics under different aged forests is discussed.

Anomaly Detection in Noisy Images

Finding rare events in multidimensional data is an important detection problem that has applications in many fields, such as risk estimation in insurance industry, finance, flood prediction, medical diagnosis, quality assurance, security, or safety in transportation. The occurrence of such anomalies is so infrequent that there is usually not enough training data to learn an accurate statistical model of the anomaly class. In some cases, such events may have never been observed, so the only information that is available is a set of normal samples and an assumed pairwise similarity function. Such metric may only be known up to a certain number of unspecified parameters, which would either need to be learned from training data, or fixed by a domain expert. Sometimes, the anomalous condition may be formulated algebraically, such as a measure exceeding a predefined threshold, but nuisance variables may complicate the estimation of such a measure. Change detection methods used in time series analysis are not easily extendable to the multidimensional case, where discontinuities are not localized to a single point. On the other hand, in higher dimensions, data exhibits more complex interdependencies, and there is redundancy that could be exploited to adaptively model the normal data. In the first part of this dissertation, we review the theoretical framework for anomaly detection in images and previous anomaly detection work done in the context of crack detection and detection of anomalous components in railway tracks. In the second part, we propose new anomaly detection algorithms. The fact that curvilinear discontinuities in images are sparse with respect to the frame of shearlets, allows us to pose this anomaly detection problem as basis pursuit optimization. Therefore, we pose the problem of detecting curvilinear anomalies in noisy textured images as a blind source separation problem under sparsity constraints, and propose an iterative shrinkage algorithm to solve it. Taking advantage of the parallel nature of this algorithm, we describe how this method can be accelerated using graphical processing units (GPU). Then, we propose a new method for finding defective components on railway tracks using cameras mounted on a train. We describe how to extract features and use a combination of classifiers to solve this problem. Then, we scale anomaly detection to bigger datasets with complex interdependencies. We show that the anomaly detection problem naturally fits in the multitask learning framework. The first task consists of learning a compact representation of the good samples, while the second task consists of learning the anomaly detector. Using deep convolutional neural networks, we show that it is possible to train a deep model with a limited number of anomalous examples. In sequential detection problems, the presence of time-variant nuisance parameters affect the detection performance. In the last part of this dissertation, we present a method for adaptively estimating the threshold of sequential detectors using Extreme Value Theory on a Bayesian framework. Finally, conclusions on the results obtained are provided, followed by a discussion of possible future work.

SOCIAL AND ECOLOGICAL FACTORS INFLUENCING COLLECTIVE BEHAVIOR IN GIANT DANIO

A fundamental problem in biology is understanding how and why things group together. Collective behavior is observed on all organismic levels - from cells and slime molds, to swarms of insects, flocks of birds, and schooling fish, and in mammals, including humans. The long-term goal of this research is to understand the functions and mechanisms underlying collective behavior in groups. This dissertation focuses on shoaling (aggregating) fish. Shoaling behaviors in fish confer foraging and anti-predator benefits through social cues from other individuals in the group. However, it is not fully understood what information individuals receive from one another or how this information is propagated throughout a group. It is also not fully understood how the environmental conditions and perturbations affect group behaviors. The specific research objective of this dissertation is to gain a better understanding of how certain social and environmental factors affect group behaviors in fish. I focus on two ecologically relevant decision-making behaviors: (i) rheotaxis, or orientation with respect to a flow, and (ii) startle response, a rapid response to a perceived threat. By integrating behavioral and engineering paradigms, I detail specifics of behavior in giant danio Devario aequipinnatus (McClelland 1893), and numerically analyze mathematical models that may be extended to group behavior for fish in general, and potentially other groups of animals as well. These models that predict behavior data, as well as generate additional, testable hypotheses. One of the primary goals of neuroethology is to study an organism's behavior in the context of evolution and ecology. Here, I focus on studying ecologically relevant behaviors in giant danio in order to better understand collective behavior in fish. The experiments in this dissertation provide contributions to fish ecology, collective behavior, and biologically-inspired robotics.

Multijurisdictional fisheries performance reporting: How Australia’s nationally standardised approach to assessing stock status compares

Australian marine wild-capture fisheries are managed by eight separate jurisdictions. Traditionally, fishery status reports have been produced separately by most of these jurisdictions, assessing the fish stocks they manage, and reporting on the effectiveness of their fisheries management. However, the format, the type of stock status assessments, the thresholds and terminology used to describe stock status and the classification frameworks have varied over time and among jurisdictions. These differences complicate efforts to understand stock status on a national scale. They also create potential misunderstanding among the wider community about how to interpret information on the status of fish stocks, and the fisheries management and science processes more generally. This is especially true when considering stocks that are shared across two or more jurisdictional boundaries. A standardised approach was developed in 2011 leading to production of the first national Status of key Australian fish stocks reports in 2012, followed by a second edition in 2014 (www.fish.gov.au). Production of these reports was the first step towards a broader national approach to reporting on the performance of Australian fisheries for target species and for wider ecosystem and socioeconomic consequences. This paper outlines the challenges associated with moving towards national performance reporting for target fish stocks and Australia’s successes so far. It also outlines the challenges ahead, in particular those relating to reporting more broadly on the status of entire fisheries. Comparisons are drawn between Australia and New Zealand and more broadly between Australia and other countries.

Understanding Notional Machines through Traditional Teaching with Conceptual Contraposition and Program Memory Tracing

A correct understanding about how computers run code is mandatory in order to effectively learn to program. Lectures have historically been used in programming courses to teach how computers execute code, and students are assessed through traditional evaluation methods, such as exams. Constructivism learning theory objects to students’ passiveness during lessons, and traditional quantitative methods for evaluating a complex cognitive process such as understanding. Constructivism proposes complimentary techniques, such as conceptual contraposition and colloquies. We enriched lectures of a “Programming II” (CS2) course combining conceptual contraposition with program memory tracing, then we evaluated students’ understanding of programming concepts through colloquies. Results revealed that these techniques applied to the lecture are insufficient to help students develop satisfactory mental models of the C++ notional machine, and colloquies behaved as the most comprehensive traditional evaluations conducted in the course.

Reconciling History and International Law: Territorial and Maritime Claims in the South China Sea and East China Sea

High-ranking Chinese military officials are often quoted in international media as stating that China cannot afford to lose even an inch of Chinese territory, as this territory has been passed down from Chinese ancestors. Such statements are not new in Chinese politics, but recently this narrative has made an important transition. While previously limited to disputes over land borders, such rhetoric is now routinely applied to disputes involving islands and maritime borders. China is increasingly oriented toward its maritime borders and seems unwilling to compromise on delimitation disputes, a transition mirrored by many states across the globe. In a similar vein, scholarship has found that territorial disputes are particularly intractable and volatile when compared with other types of disputes, and a large body of research has grappled with producing systematic knowledge of territorial conflict. Yet in this wide body of literature, an important question has remained largely unanswered - how do states determine which geographical areas will be included in their territorial and maritime claims? In other words, if nations are willing to fight and die for an inch of national territory, how do governments draw the boundaries of the nation? This dissertation uses in-depth case studies of some of the most prominent territorial and maritime disputes in East Asia to argue that domestic political processes play a dominant and previously under-explored role in both shaping claims and determining the nature of territorial and maritime disputes. China and Taiwan are particularly well suited for this type of investigation, as they are separate claimants in multiple disputes, yet they both draw upon the same historical record when establishing and justifying their claims. Leveraging fieldwork in Taiwan, China, and the US, this dissertation includes in-depth case studies of China’s and Taiwan’s respective claims in both the South China Sea and East China Sea disputes. Evidence from this dissertation indicates that officials in both China and Taiwan have struggled with how to reconcile history and international law when establishing their claims, and that this struggle has introduced ambiguity into China's and Taiwan's claims. Amid this process, domestic political dynamics have played a dominant role in shaping the options available and the potential for claims to change in the future. In Taiwan’s democratic system, where national identity is highly contested through party politics, opinions vary along a broad spectrum as to the proper borders of the nation, and there is considerable evidence that Taiwan’s claims may change in the near future. In contrast, within China’s single-party authoritarian political system, where nationalism is source of regime legitimacy, views on the proper interpretation of China’s boundaries do vary, but along a much more narrow range. In the dissertation’s final chapter, additional cases, such as South Korea’s position on Dokdo and Indonesia’s approach to the defense of Natuna are used as points of comparison to further clarify theoretical findings.

Joseph McKeen and the soul of Bowdoin College: an analysis of the chapel sermons of Rev. Joseph McKeen, first president of Bowdoin College, as they relate to his call to serve the common good

The Reverend Joseph McKeen (1757-1807) was the first president of Bowdoin College, Brunswick, Maine, USA, (founded 1794). McKeen is famous for his inaugural address in which he calls students to serve the common good. His view of common good is a deeply theological view, coloured by the theological era in which he lived and worked. This study examines the idea of common in the light of McKeen’s college sermons, taking note of the following subjects: Scottish Common Sense Realism; The Nature of True Virtue; The Controversy with Unitarianism; and Science and Mathematics. McKeen’s view of common good is not simply a political view. He is not merely a republican, expressing his views on the future of the republic in a classical political way. He is also, indeed primarily, a pastor and theologian.

Meningococcal ACWY Vaccines -- MenACWY and MPSV4 : What You Need to Know

This paper describes meningococcal disease and the vaccines used to treat it. Topics include: Why get vaccinated?, Meningococcal ACWY vaccines, some people should not get this vaccine, risks of a vaccine reaction, the National Vaccine Injury Compensation Program and how to learn more.

Aplicação das ciências forenses no ensino secundário: um conjunto de actividades para a disciplina de Física e Química A

A popularidade das séries televisivas que abordam as Ciências Forenses (CSI 1 Mentes Criminosas, Casos Arquivados...) permite construir actividades que envolvem os alunos numa exploração científica de modo a que dominem os conceitos e apreciem a natureza da Ciência. Estes recursos educativos aplicam uma abordagem Ciência­ Tecnologia-Sociedade -Pensamento Crítico (CTS-PC) e podem ser explorados segundo uma metodologia de Aprendizagem Baseada na Resolução de Problemas (ABRP). Neste trabalho são propostas actividades laboratoriais, a decorrer no contexto formal das aulas da disciplina de Física e Química A (FQ·A), utilizando sensores e a calculadora gráfica. Num contexto não-formal, e baseadas nas técnicas analíticas utilizadas em Ciências Forenses, foram desenvolvidas actividades para um Clube de Ciência ou Laboratórios Abertos, complementadas por um blogue (CSI-Mafra). Estes recursos foram posteriormente partilhados com outros professores de Física e Química, numa acção de formação, proposta pela autora, e cujo objectivo principal foi a diversificação das estratégias de ensino e aprendizagem. O entusiasmo dos alunos na realização das tarefas propostas e os resultados nos questionários de grau de satisfação e de opinião, aplicados a alunos e professores, sugere que as actividades desenvolvidas podem contribuir na motivação dos alunos para o estudo da Física e da Química e promover a literacia científica da comunidade escolar. ABSTRACT; The high popularity between teenagers of the television series that have Forensic Sciences and Criminal lnvestigations as central theme, such as CSI, Dexter, Criminal Minds and Cold Case, can be used to develop learning activities that involves the students into a scientific exploration which aim is leading the students to learn Chemistry and Physics with pleasure, motivation and curiosity. The educational resources developed in this thesis make use of the strategy Science-Technology-Society-Critical Thinking (STS-CP) and can be exploited according the teaching methodology Problem Based Learning (PBL). ln this work we propose a number of laboratory activities that can be used on the classes of the High School course Physic and Chemistry A (FQ-A) and a different set of activities to be used in a non-formal teaching environment, which are based on the analytical techniques used in Forensic Sciences. The non-formal activities were developed as part of the activities of a Science Club and complemented with an interactive blog. The teaching resources developed by us were also used in a professional training course to physics and chemistry teachers aimed to teach how to introduce new teaching­ learning strategies. The enthusiasm of the students shown during the activities and the extremely positive results of the questionnaires, applied to students and teachers after the activities, clearly indicates that the learning resources developed in this thesis contribute to the student's motivation to learn Physic and Chemistry and to promote the scientific Iiteracy of the scholar community.

Place, policy and practitioners: on rehabilitation, independence and the therapeutic landscape in the changing geography of care provision to older people in the United Kingdom

A growing body of literature in geography and other social sciences considers the role of place in the provision of healthcare. Authors have focused on various aspects of place and care, with particular interests emerging around the role of the psychological, social and cultural aspects of place in care provision. As healthcare stretches increasingly beyond the traditional four walls of the hospital, so questions of the role of place in practices of care become ever more pertinent. In this paper, we examine the relationship between place and practice in the care and rehabilitation of older people across a range of settings, using qualitative material obtained from interviews and focus groups with nursing, care and rehabilitation staff working in hospitals, clients’ homes and other sites. By analysing their testimony on the characteristics of different settings, the aspects of place which facilitate or inhibit rehabilitation and the ways in which place mediates and is mediated by social interaction, we consider how various dimensions of place relate to the power-inscribed relationships between service users, informal carers and professionals as they negotiate the goals of the rehabilitation process. We seek to demonstrate how the physical, psychological and social meanings of place and the social processes engendered by the rehabilitation encounter interact to produce landscapes that are more or less therapeutic, considering in particular the structuring role of state policy and formal healthcare provision in this dynamic.

Estimation of whole body muscle, adipose/fat mass, validation in health and during weight loss. Development of prediction equations using MRI as reference method

Background: Body composition is affected by diseases, and affects responses to medical treatments, dosage of medicines, etc., while an abnormal body composition contributes to the causation of many chronic diseases. While we have reliable biochemical tests for certain nutritional parameters of body composition, such as iron or iodine status, and we have harnessed nuclear physics to estimate the body’s content of trace elements, the very basic quantification of body fat content and muscle mass remains highly problematic. Both body fat and muscle mass are vitally important, as they have opposing influences on chronic disease, but they have seldom been estimated as part of population health surveillance. Instead, most national surveys have merely reported BMI and waist, or sometimes the waist/hip ratio; these indices are convenient but do not have any specific biological meaning. Anthropometry offers a practical and inexpensive method for muscle and fat estimation in clinical and epidemiological settings; however, its use is imperfect due to many limitations, such as a shortage of reference data, misuse of terminology, unclear assumptions, and the absence of properly validated anthropometric equations. To date, anthropometric methods are not sensitive enough to detect muscle and fat loss. Aims: The aim of this thesis is to estimate Adipose/fat and muscle mass in health disease and during weight loss through; 1. evaluating and critiquing the literature, to identify the best-published prediction equations for adipose/fat and muscle mass estimation; 2. to derive and validate adipose tissue and muscle mass prediction equations; and 3.to evaluate the prediction equations along with anthropometric indices and the best equations retrieved from the literature in health, metabolic illness and during weight loss. Methods: a Systematic review using Cochrane Review method was used for reviewing muscle mass estimation papers that used MRI as the reference method. Fat mass estimation papers were critically reviewed. Mixed ethnic, age and body mass data that underwent whole body magnetic resonance imaging to quantify adipose tissue and muscle mass (dependent variable) and anthropometry (independent variable) were used in the derivation/validation analysis. Multiple regression and Bland-Altman plot were applied to evaluate the prediction equations. To determine how well the equations identify metabolic illness, English and Scottish health surveys were studied. Statistical analysis using multiple regression and binary logistic regression were applied to assess model fit and associations. Also, populations were divided into quintiles and relative risk was analysed. Finally, the prediction equations were evaluated by applying them to a pilot study of 10 subjects who underwent whole-body MRI, anthropometric measurements and muscle strength before and after weight loss to determine how well the equations identify adipose/fat mass and muscle mass change. Results: The estimation of fat mass has serious problems. Despite advances in technology and science, prediction equations for the estimation of fat mass depend on limited historical reference data and remain dependent upon assumptions that have not yet been properly validated for different population groups. Muscle mass does not have the same conceptual problems; however, its measurement is still problematic and reference data are scarce. The derivation and validation analysis in this thesis was satisfactory, compared to prediction equations in the literature they were similar or even better. Applying the prediction equations in metabolic illness and during weight loss presented an understanding on how well the equations identify metabolic illness showing significant associations with diabetes, hypertension, HbA1c and blood pressure. And moderate to high correlations with MRI-measured adipose tissue and muscle mass before and after weight loss. Conclusion: Adipose tissue mass and to an extent muscle mass can now be estimated for many purposes as population or groups means. However, these equations must not be used for assessing fatness and categorising individuals. Further exploration in different populations and health surveys would be valuable.

Investigating problem-based learning in Saudi Arabian mathematics education: a TIMSS-related study

The aim of this study is to investigate the effectiveness of problem-based learning (PBL) on students’ mathematical performance. This includes mathematics achievement and students’ attitudes towards mathematics for third and eighth grade students in Saudi Arabia. Mathematics achievement includes, knowing, applying, and reasoning domains, while students’ attitudes towards mathematics covers, ‘Like learning mathematics’, ‘value mathematics’, and ‘a confidence to learn mathematics’. This study goes deeper to examine the interaction of a PBL teaching strategy, with trained face-to-face and self-directed learning teachers, on students’ performance (mathematics achievement and attitudes towards mathematics). It also examines the interaction between different ability levels of students (high and low levels) with a PBL teaching strategy (with trained face-to-face or self-directed learning teachers) on students’ performance. It draws upon findings and techniques of the TIMSS international benchmarking studies. Mixed methods are used to analyse the quasi-experimental study data. One -way ANOVA, Mixed ANOVA, and paired t-tests models are used to analyse quantitative data, while a semi-structured interview with teachers, and author’s observations are used to enrich understanding of PBL and mathematical performance. The findings show that the PBL teaching strategy significantly improves students’ knowledge application, and is better than the traditional teaching methods among third grade students. This improvement, however, occurred only with the trained face-to-face teacher’s group. Furthermore, there is robust evidence that using a PBL teaching strategy could raise significantly students’ liking of learning mathematics, and confidence to learn mathematics, more than traditional teaching methods among third grade students. Howe ver, there was no evidence that PBL could improve students’ performance (mathematics achievement and attitudes towards mathematics), more than traditional teaching methods, among eighth grade students. In 8th grade, the findings for low achieving students show significant improvement compared to high achieving students, whether PBL is applied or not. However, for 3th grade students, no significant difference in mathematical achievement between high and low achieving students was found. The results were not expected for high achieving students and this is also discussed. The implications of these findings for mathematics education in Saudi Arabia are considered.