Enhancing climate change communication: strategies for profiling and targeting Australian interpretive communities

Abstracthis research aimed to provide practical information about how to design communications on climate change adaptation and target these to the Australian population.   This was achieved by: (1) identifying and increasing awareness of different climate change audiences in Australia, and (2) evaluating how each audience responds to different types of climate change messages. Phase 1 of the study used audience segmentation analysis to identify the main climate change interpretive communities within Australia; that is, groups of Australians who share similar views and understandings about climate change.   A nationwide sample consisting of 3,096 Australian residents (aged 15 to 108 years, 47% male and 53% female) completed an online survey assessing a broad range of psychological and behavioural factors related to climate change.   Latent profile analysis applied to the psychological variables suggested that this Australian sample consists of five distinct interpretive communities: Alarmed (26%), Concerned (39%), Uncertain (14%), Doubtful (12%), and Dismissive (9%). Validation analyses revealed that these groups differed in terms of how they responded to perceived climate change threats, and also in their support for particular climate change mitigation and adaptation policies.   Phase 2 of the project examined how Australian interpretive communities respond to climate change adaptation messages and identified the specific message attributes that drive these responses. 1,031 Australian residents (aged 18 to 66 years, 49.8% male, 50.2% female) completed an online survey assessing a similar set of psychological and behavioural responses to climate change to those assessed in Phase 1.   Respondents subsequently viewed six climate change adaptation messages that were randomly allocated from a pool of 60 messages sourced from the internet.   Messages were pre-coded on 10 communication cues (e.g., language complexity, normative influence), and respondents rated them on four judgement dimensions: perceived threat, perceived efficacy, fear control (message rejection), and danger control (message acceptance).   Latent profile analysis applied to the psychological variables identified three climate change interpretive communities in this sample: Alarmed (34.4%), Uncommitted (45.2%), and Dismissive (20.3%).   Judgement analysis methodology (Cooksey, 1996) found that the three interpretive communities based their threat and efficacy evaluations on unique combinations of communication cues, and that high perceived threat and high perceived efficacy were related to message acceptance for all communities.   Effective messages for Dismissive respondents used simple language and did not emphasise descriptive social norms.   Uncommitted audience members responded positively to messages that focused on preventing losses and had a strong emotional component.   Alarmed respondents preferred messages that focused on local issues and had a collectivist frame. Providing specific adaptation advice in messages was found to be effective for all communities. The results largely support the Extended Parallel Processing Model of risk communication (Witte, 1992), and suggest that message attributes should be adjusted to effectively communicate with different climate change interpretive communities within Australia.Please cite this report as:Hine, D, Phillips, W, Reser, J, Cooksey, R, Marks, A, Nunn, P, Watt, S, Ellul, M 2013 Enhancing climate change communication: Strategies for profiling and targeting Australian interpretive communities, National Climate Change Adaptation Research Facility, Gold Coast, pp. 95.his research aimed to provide practical information about how to design communications on climate change adaptation and target these to the Australian population.   This was achieved by: (1) identifying and increasing awareness of different climate change audiences in Australia, and (2) evaluating how each audience responds to different types of climate change messages. Phase 1 of the study used audience segmentation analysis to identify the main climate change interpretive communities within Australia; that is, groups of Australians who share similar views and understandings about climate change.   A nationwide sample consisting of 3,096 Australian residents (aged 15 to 108 years, 47% male and 53% female) completed an online survey assessing a broad range of psychological and behavioural factors related to climate change.   Latent profile analysis applied to the psychological variables suggested that this Australian sample consists of five distinct interpretive communities: Alarmed (26%), Concerned (39%), Uncertain (14%), Doubtful (12%), and Dismissive (9%). Validation analyses revealed that these groups differed in terms of how they responded to perceived climate change threats, and also in their support for particular climate change mitigation and adaptation policies.   Phase 2 of the project examined how Australian interpretive communities respond to climate change adaptation messages and identified the specific message attributes that drive these responses. 1,031 Australian residents (aged 18 to 66 years, 49.8% male, 50.2% female) completed an online survey assessing a similar set of psychological and behavioural responses to climate change to those assessed in Phase 1.   Respondents subsequently viewed six climate change adaptation messages that were randomly allocated from a pool of 60 messages sourced from the internet.   Messages were pre-coded on 10 communication cues (e.g., language complexity, normative influence), and respondents rated them on four judgement dimensions: perceived threat, perceived efficacy, fear control (message rejection), and danger control (message acceptance).   Latent profile analysis applied to the psychological variables identified three climate change interpretive communities in this sample: Alarmed (34.4%), Uncommitted (45.2%), and Dismissive (20.3%).   Judgement analysis methodology (Cooksey, 1996) found that the three interpretive communities based their threat and efficacy evaluations on unique combinations of communication cues, and that high perceived threat and high perceived efficacy were related to message acceptance for all communities.   Effective messages for Dismissive respondents used simple language and did not emphasise descriptive social norms.   Uncommitted audience members responded positively to messages that focused on preventing losses and had a strong emotional component.   Alarmed respondents preferred messages that focused on local issues and had a collectivist frame. Providing specific adaptation advice in messages was found to be effective for all communities. The results largely support the Extended Parallel Processing Model of risk communication (Witte, 1992), and suggest that message attributes should be adjusted to effectively communicate with different climate change interpretive communities within Australia

OR15-5 Human Sex Determination at the Edge of Ambiguity: Impaired SRY Phosphorylation Attenuates Expression of the Male Program

A paradox is posed by metazoan gene-regulatory networks (GRNs) that are robust yet evolvable. Insight may be obtained through studies of bistable genetic circuits mediating developmental decisions. A model in organogenesis is provided by the sex-specific differentiation of the embryonic gonadal ridge to form a testis or ovary. Here, we investigated a Swyer mutation in human testis-determining factor SRY that impairs its phosphorylation in association with variable developmental outcomes: fertile male, intersex, or infertile female (46, XY pure gonadal dysgenesis). The mutation (R30I) abrogates serine phosphorylation within a putative target site for protein kinase A (PKA) N-terminal to the HMG box. Diverse processes can be regulated by protein phosphorylation, including DNA recognition by transcription factors (TFs). Phosphorylation of this site in human SRY (LRRSSSFLCT; italics) in vitro was previously shown to enhance specific DNA affinity. Biological consequences of the mutation were evaluated in SRY-responsive mammalian cell lines following transient transfection. The mutation attenuated in concert occupancy of a target enhancer (TESCO) and SOX9 transcriptional activation. These perturbations were mitigated by acidic substitution (LRIDDDFL) whereas Ala substitutions (RRAAAFL or RIAAAFL) attenuated activity to an extent similar to R30I alone. No differences were observed in nuclear localization. Mutagenesis suggested that the central Ser is most efficiently phosphorylated in accord with PKA targeting rules. Replacement of the native site by an optimized “Kemptide” PKA site (LRRASLGCT) enhanced both SRY phosphorylation and SOX9 transcriptional activation whereas a “swapped” protein-kinase C determinant (LRRSSFRRCT) blocked phosphorylation. Among SRY variants, extent of cellular phosphorylation mirrored relative in vitro efficiencies of synthetic SRY-derived peptides as PKA-specific substrates. Although several kinases are predicted in silico to target this tri-serine motif, cell-based studies implicate PKA as the relevant kinase in vivo. Our results provide evidence that primate Sry requires its phosphorylation for full gene-regulatory activity. A PKA site N-terminal to the SRY HMG box, unique to primates, exemplifies network “tinkering” through recruitment of a new regulatory linkage. Molecular characterization of the R30I inherited Swyer mutation in SRY thus demonstrates that impaired TF phosphorylation can attenuate a human developmental switch at the edge of ambiguity

Making it count : novel behavioural tasks to quantify symptoms of dementia with Lewy bodies

Dementia with Lewy bodies (DLB) is a neurodegenerative disease and a common cause of dementia in the elderly. The primary pathology of DLB is the mis-folding of the α-synuclein protein, classifying DLB as a synucleinopathy. However, concomitant pathologies are commonly found in post-mortem examination of DLB patients that may complicate diagnosis. Furthermore, DLB is a relatively new disease, first discovered in 1976, while the first official diagnostic criteria released in 1996. Consequently, the diagnostic criteria for DLB have evolved as more is learnt about the clinical and neuropathological profile. Synucleinopathies are also known to be heterogeneous, with no single symptom or biomarker present in all DLB cases. Instead, combinations of common symptoms lead to a diagnosis of probable DLB. Two of the most prominent and debilitating symptoms of DLB are visual hallucinations and cognitive fluctuations. Visual hallucinations (VH) in DLB patients are typically vivid, well-formed percepts and are a major cause of patient and caregiver stress as well as a risk factor for the patient being placed into professional care. Cognitive fluctuations (CF) involve a cycling change in attention and alertness and may occur on a daily or monthly basis, while drops in awareness may last seconds or hours. Currently, the only tools to measure cognitive fluctuations or visual hallucinations are scales or questionnaires that rely on responses from the patient or informant. Furthermore, severity of the symptom is then ranked on an arbitrary ranking system. While this method has advantages in a clinical setting, the subjective nature of the scales combined with the ranking of scores results in a loss of sensitivity. In a research setting, especially imaging or clinical trials, objective measures that are sensitive to changes in symptom severity are highly valued. This allows researchers to assess the relationship between behavioural and fMRI data and clinicians to observe subtle changes in severity. Furthermore, the measures need to be easy to conduct as patients are often severely impaired. The aim of this thesis is to test cognitive function using three paradigms that are novel to DLB patients: Sustained Attention Response Task (SART), the Mental Rotation (MR) task and the Bistable Percept Paradigm (BPP). Overall, this thesis provided the groundwork needed before these three tasks can be utilised in a clinical or research setting. Moreover, as each task was accessible to DLB patients and provided a measure associated with VH or CF, they may prove useful for future neuroimaging/neuropsychological studies

The Normal Curve As The Limiting Form Of The Binomial Distribution

Normal distributions are very useful as mathematical models for many frequency distributions found in nature and industry. Thus, a great many measurements made on manufactured articles possess distributions that can be approximated well by normal distributions, true of many biological measurements. The same is also Even if there were few natural distributions of this form, the normal distribution would still be extremely important because of its place in theoretical work. As may be readily inferred, there are many curves which are like the normal curve in that they have at most one mode but differ from the normal curve in that they are not symmetrical. Most of these types of curves are presented by the various graphs obtained by plotting the terms of the expansion of the binomial (p+q= 1/2), Such curves are often referred to as skew curves. where to represents the probability of the occurrence of a certain event, q the probability of its failure, and the number of trials. Lest one should think that the graphs of the terms of the expansion would be rectangular histograms, it is well to say that it is the frequency curve which corresponds to these histograms to which we refer as representative types of frequency curves, When, as a special case, p=q=1/2, the corresponding graph is symmetrical - that is, skewness is absent or zero - and is essentially a form of the normal curve, mathematical justification of this statement, is the writer\u27s purpose for To show the mathematical this investigation and writing this thesis

An Investigation of the Combined Heat and Mass Transfer Processes in the Drying of Hygroscopic Porous Media with Two Disparate Length Scales

A mathematical model describing the drying process in a hygroscopic porous medium with two disparate length scales is formulated. The mathematical model is used to identify the important dimensionless parameters appearing in the problem; and, a parametric study is performed to determine the effects of varying these parameters on the drying process. Of particular interest in this study is to apply the model to the drying of large, round hay bales. Therefore a discussion of how the results of the parametric study impact on the efficient use of a hay drier is also presented. The results from the parametric study indicate that the drying times of a porous medium may be decreased by increasing the Reynold\u27s number, increasing the inlet air radius of the drier, decreasing the overall aspect ratio of the porous structure, and decreasing the Kossovich number. In addition, it is shown that the velocity distribution through the porous medium plays a significant role on the drying behavior. It was concluded the greatest potential for improving the drying time for hay bales was to decrease the aspect ratio of the bale