The Evolution Of Symptoms Of Common Mental Disorders Across Adolescence And Young Adulthood
Funder
National Health and Medical Research Council
Funding Amount
$292,639.00
Summary
Mental health is a major public health priority. Mental illness such as depression and anxiety is becoming more common in adolescents and young adults, yet the development of specific symptoms of these disorders is not well understood. The Victorian Adolescent Health Cohort Study evaluates the mental health of nearly 2000 young people at 9 points over 14 years. Establishing which symptoms appear first, when, and for how long, will aid targetting of prevention and intervention programs.
Translating Bacterial Molecular Epidemiology Into Information To Improve Infectious Disease Risk Assessment And Control
Funder
National Health and Medical Research Council
Funding Amount
$494,500.00
Summary
Streptococcus pneumoniae (pneumococcus) and group B streptococcus (GBS) are important pathogenic bacteria, which cause septicaemia and meningitis in young infants, the elderly and people with certain chronic diseases. Both consist of a number of different types, some of which are more likely to cause disease than others. Pneumococcal vaccines that protect against the commonest pathogenic types are used in Australia in people most at risk.Antibiotic resistance is an increasing problem, which shou ....Streptococcus pneumoniae (pneumococcus) and group B streptococcus (GBS) are important pathogenic bacteria, which cause septicaemia and meningitis in young infants, the elderly and people with certain chronic diseases. Both consist of a number of different types, some of which are more likely to cause disease than others. Pneumococcal vaccines that protect against the commonest pathogenic types are used in Australia in people most at risk.Antibiotic resistance is an increasing problem, which should be partly off-set by immunisation. Giving antibiotics during labour, to women colonised with GBS, can reduce infection rates in newborns, but there are many disadvantages of this approach, including the risk of increased antibiotic resistance. Vaccines against GBS are mpt yet available. We have developed methods to identify detailed fingerprints of these bacteria which allow us to identify types, antibiotic resistance and, for GBS, other characteristics which can distinguish highly pathogenic strains from the majority that are carried harmlessly and unlikely to cause disease. The methods are still quite slow and expensive and produce complex patterns,which are difficult to interpret rapidly. We plan to develop a new, rapid and relatively inexpensive, fingerprinting system for these bacteria and computer programs to analyse and interpret the results. They will allow us to check the strains of pneumococci that cause disease to make sure that new ones, not covered by the vaccine, do not become more common and reduce the effectiveness of vaccine and that antibiotic resistance does not increase further. The methods will also allow us to study differences between the small proportion of GBS strains that cause neonatal infection and the majority that are carried harmlessly by pregnant women and are of little risk to their babies. Eventually this should allow doctors to identify women whose babies are most at risk, reduce unnecessary antibiotic use.Read moreRead less
Discrimination learning in humans: Associative and attentional mechanisms. This project offers three major benefits: (1) Australian researchers excel in cognitive neuroscience, learning and psychopharmacology, areas based largely on animal models of human cognition. This project contributes to these areas by specifying the relationship between animal learning and human cognition; (2) the project enhances Australia's international reputation in these areas via its collaboration with a scientist ....Discrimination learning in humans: Associative and attentional mechanisms. This project offers three major benefits: (1) Australian researchers excel in cognitive neuroscience, learning and psychopharmacology, areas based largely on animal models of human cognition. This project contributes to these areas by specifying the relationship between animal learning and human cognition; (2) the project enhances Australia's international reputation in these areas via its collaboration with a scientist of Geoff Hall's stature; it also offers students outstanding research training and international exposure; (3) given Chris Mitchell's industry experience and the relevance of this work to advertising/marketing, this project will generate knowledge relevant to, and possible future collaborations with, Australian industries.Read moreRead less
The Development of Creative Thinking Ability in TAFE Design Students. The aim is to develop an instructional framework as a conceptual basis for instruction aimed at TAFE design student use of imagery in creative thinking. The research addresses the challenges of recent post-compulsory education initiatives, which include a more specific focus on the development of creative problem-solving skills, but provide little guidance on instructional strategies. The research will synthesise the framewo ....The Development of Creative Thinking Ability in TAFE Design Students. The aim is to develop an instructional framework as a conceptual basis for instruction aimed at TAFE design student use of imagery in creative thinking. The research addresses the challenges of recent post-compulsory education initiatives, which include a more specific focus on the development of creative problem-solving skills, but provide little guidance on instructional strategies. The research will synthesise the framework from theories about cognitive processes, creative problem-solving and the use of mental imagery; and the results of an imagery training program and creative problem-solving interventions. The outcome will be an instructional framework for guiding the development of student creative thinking in design-based courses in TAFE.Read moreRead less
Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different lear ....Evaluating models of category learning that use general feature-based representations. Three competing models of human category learning will be evaluated by comparing their behaviour to human performance on an experimental task where each model makes qualitatively different predictions. A series of theoretical and algorithmic advances will be undertaken to ensure each of the category learning models uses the same feature-based representation. Because the three models propose very different learning processes, their comparison will give insight into the basic cognitive process of categorisation. The algorithms for generating feature representations and modelling human category learning will also have potential for application in data visualisation and information handling systems.Read moreRead less
Psychological User Profiling in the Telecommunications Industry. Recording user behaviour allows businesses to learn about their customers. This is particularly important in telecommunications, since the core business involves a large number of users who vary considerably from one another. This project combines psychological insights with modern statistical methods to develop a psychologically plausible user profiling framework, accounting for the idiosyncratic usage patterns of customers, and t ....Psychological User Profiling in the Telecommunications Industry. Recording user behaviour allows businesses to learn about their customers. This is particularly important in telecommunications, since the core business involves a large number of users who vary considerably from one another. This project combines psychological insights with modern statistical methods to develop a psychologically plausible user profiling framework, accounting for the idiosyncratic usage patterns of customers, and the way in which they change over time. The profiles will be tied to marketing prospects through interviews and surveys. Applied benefits include the ability to predict, understand and act upon user behaviour. The project also adds substantially to theories of memory, individual differences and decision-making.Read moreRead less
Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure present ....Hierarchical Bayesian Models for Human Conceptual Learning. This project seeks to understand the nature of human conceptual learning. With the shift to an information-based economy, it becomes important to understand what assumptions a real-world learning system should make. Even given the impressive growth of machine learning and artificial intelligence, the human mind remains the most successful example of such a system. In this light, the scientific study of human conceptual structure presents the opportunity to discover how an intelligent thinking system should operate. In addition, many important problems facing an information economy involve being able to understand how people behave. An understanding of the concepts people use is central to this endeavour.Read moreRead less
Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts define ....Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts defined by abstract relational structure, and by designing educational applications that enhance the use of relational learning mechanisms in students with a wide range of cognitive abilities.Read moreRead less
The role of memory and reasoning processes in associative learning. The project will investigate how people learn to detect cues that predict or cause significant events in their environment (associative learning). The research builds on recent empirical and theoretical work by the investigators supporting the role of deductive reasoning processes in associative learning. Novel experimental strategies will be used to identify the separate and interacting roles of lower-level memory processes a ....The role of memory and reasoning processes in associative learning. The project will investigate how people learn to detect cues that predict or cause significant events in their environment (associative learning). The research builds on recent empirical and theoretical work by the investigators supporting the role of deductive reasoning processes in associative learning. Novel experimental strategies will be used to identify the separate and interacting roles of lower-level memory processes and higher-level reasoning processes. Existing competing models and novel cooperative models will be tested. The research will lead to a better understanding of associative learning in humans, and will also inform the construction of intelligent artificial systems.Read moreRead less
Faster, cheaper, safer: how to accelerate rail driver training and avert the looming skills shortage. The Australian rail industry is growing rapidly and needs to double the number of drivers trained in order to meet demand. This project will bring together Australia's leading hi-tech simulator company and Australia's leading rail human factors research team to 'reinvent' driver training technologies and techniques for the 21st century.