Nature-based solutions as ideological fantasy

Michael Gunder’s research demonstrates how spatial planning ideologically promises fullness and harmony in practices which manage subjective lack. Fantasy-constructions, such as ‘sustainability’, serve to sustain capital accumulation and economic growth, often at the expense of sustaining non-human nature. The last decade has witnessed a burgeoning of greenwash terms, including ecosystem services, green infrastructure, envirodevelopment and so on, several of which have been incorporated into the relatively new idiom of nature-based solutions. I explore discourses of nature-based solutions as illusionary ideological fantasy in order to unpack the powerful relationalities reinforced through its proliferation and implementation. I conclude that there is a need to recognise nature-based solutions for the ideological fantasy they are and to generate ways of thinking and acting which begin to traverse this fantasy and confront the real socio-economic-environmental questions of our time.</p

A Scoping Review for Clinical Reasoning and Differential Diagnosis of Abdominal Pain Attributed to Musculoskeletal Dysfunction in Primary Health Care

This poster presents a scoping review examining clinical reasoning and differential diagnosis of abdominal pain attributable to musculoskeletal dysfunction in primary healthcare. Using the Arksey and O’Malley framework and PRISMA guidance, the review synthesises evidence on prevalence, diagnostic approaches, and key musculoskeletal syndromes. Findings suggest that approximately 4% of abdominal pain presentations in primary care are musculoskeletal in origin, with diagnostic reasoning commonly relying on patient history, pain characteristics, and targeted physical examination. The review highlights the importance of recognising musculoskeletal contributors to abdominal pain to improve diagnostic accuracy and patient outcomes while minimising the risk of missing visceral pathology.</p

Care-based corporate sociopolitical activism: identifying dark sides and envisioning an ethical framework

Although corporate sociopolitical activism (CSA) has gained traction in research and practice, little is known about its potential dark sides − especially from the consumer’s perspective. We address this gap by examining how CSA can burden or harm consumers, beyond typical economic risks to firms. We identify and categorise six dark sides into two overarching themes: (1) emotional and cognitive burden (individual level) and (2) public division and harm (societal level). These underscore the ethical complexities of CSA and the need for a revised, more responsible approach. Inspired by emerging CSA practices that prioritise empathy and connectedness over neoliberal logics, we introduce an ‘ethics of care’ to the CSA literature as an alternative moral guideline. A care-based CSA approach is proposed, including an audit tool and strategic solutions to manage negative consequences. This reimagines CSA as a form of moral responsibility that emphasises relationships, interdependence and responsiveness in ethical deliberations.</p

High performance polyimides for additive manufacturing: A critical review

High performance polymers (HPPs), particularly polyimides (PIs), including both thermosetting and thermoplastic types, exhibit remarkable properties such as exceptional mechanical properties, outstanding thermal stability, and inherent flame retardancy. PIs are lightweight and potentially economical alternatives to metal based materials used in demanding applications, such as aerospace, transportation, and defense. However, processing PIs into the desired complex shapes is a significant challenge owing to their high melting temperature, high melt flow viscosity, and very narrow processing temperature window. Additive manufacturing (AM) techniques present an important avenue for processing such materials and emerged as a revolutionary approach to overcome these limitations, offering unprecedented design flexibility, reduced material waste, and the capability for rapid prototyping and production. Despite these advantages, AM of PIs has received considerably less attention, primarily due to significant processing challenges including material printability, thermal management complexities, and dimensional accuracy challenges that have hindered further advancements in this field. This comprehensive review explores the evolution and current status of polyimides additive manufacturing, providing insights into their chemistry, structural modifications, and detailed structure-property relationships. Various AM techniques including vat photopolymerization, material extrusion, direct ink writing, material jetting along with hybrid and emerging approaches are critically discussed, highlighting recent innovations, key challenges, and strategic solutions to enhance processing capabilities. Furthermore, the review identifies prospective research directions, emphasizing the potential for multifunctional and stimuli-responsive polyimides that could revolutionize next-generation applications. Overall, this review aims to stimulate further advancements in polyimide based additive manufacturing, fostering its broader industrial adoption and facilitating significant developments in high performance polymer technology.</p

A theoretical framework for the prediction of molecular transport in interacting biopolymer co-solute solutions

A theoretical framework is presented that accounts for modifications to diffusive behaviour of a small molecule resulting from an interacting biopolymer in a liquid system. The equation makes use of the equilibrium association constant (K a ) to predict the fraction of bound ligand (θ), allowing for the weighted average diffusion of free and bound ligand to be calculated. θ is shown to be calculated effectively under all concentration regimes (ligand in excess, host in excess and equimolar) and it is demonstrated that even for relatively small K a values (weak interactions), there is still likely to be a non-negligible proportion of ligand bound to the host macromolecule. Modelling of the effective diffusion coefficient (D eff ) vs K a using the developed equation shows that, in a system with functional food/nutraceutical relevant molecular sizes for ligand and host (for example, 0.6 and 3.5 nm), the D eff values of the ligand can be reduced more than 5 fold with the presence of only a moderate ligand-host interaction (K a ∼2.5 x 103 M−1). The practical value of this approach is demonstrated by determining the fraction of bound ligand for an experimentally determined D eff . This work aims to demonstrate the importance of understanding the impact of molecular interactions in solutions for the design of novel delivery vehicles.</p

A Systematic Review on the Organizational Learning Potential of Building Information Modelling: Theoretical Foundations and Future Directions

Organizational learning refers to the systematic development, exchange and dissemination of knowledge throughout the organization. Organizational learning processes in construction are disrupted by the decentralized flow of information and the temporary, short-term nature of project teams. The emergence of Building Information Modelling (BIM) has significantly enhanced the ability to capture and disseminate construction project knowledge within the architecture, engineering, construction, and facilities management (AEC-FM) sector. Despite this progress, existing research has predominantly focused on the technical aspects of BIM, with limited evidence on its effects on organizational learning capabilities. This study addresses this gap by examining how BIM shapes organizational learning mechanisms within AEC-FM contexts. Employing a systematic literature review (SLR) approach, 104 articles from the Scopus database were analyzed using scientometric and thematic analyses. The systematic review of the literature was carried out following the PRISMA guidelines. The SLR provided a comprehensive examination of BIM’s contribution to strengthening the three core organizational learning mechanisms: experience accumulation, knowledge articulation, and knowledge codification. The thematic analysis revealed seven BIM-enabled organizational learning factors that are expected to strengthen learning mechanisms in AEC-FM organizations: agility of thinking and reasoning skills; enhanced decision-making; interconnected stakeholders’ relationships; integrated business processes; BIM-facilitated project knowledge sharing; BIM-supported project knowledge retention; and BIM-supported project knowledge extraction. Findings suggest that BIM significantly facilitates learning mechanisms within AEC-FM firms. A conceptual model of BIM-supported learning mechanisms was developed to highlight opportunities for enhancing organizational learning capabilities in the BIM environment.</p

Quantifying concrete recarbonation potential: A life cycle approach to carbon uptake

Concrete production is a major source of carbon emissions, but carbonation of concrete throughout its life is also a natural process that results in the sequestration of atmospheric CO₂ into the concrete. To understand the relationship between emission and sequestrations this study quantifies the carbonation potential of recycled concrete aggregate (RCA) across its full lifecycle, encompassing both service life and end-of-life, including stockpiling, recycling, and secondary use. An Empirical CO₂ Uptake Model for Concrete developed by IVL is used to predict carbonation depths in natural and the recycled concrete utilized as aggregate. This model assesses the carbonation uptake relative to both the CO2 generated from cement production and from concrete production in a standard bridge structure. The data shows limited carbonation occurs during the primary service life over 100 years, capturing only up to 2.99 % (5.85 kg CO2/m3) of calcination emission, while secondary applications add up to 2.66 % (5.19 kg CO2/m3). In contrast, the recycling and stockpiling phase achieves a higher rate of carbonation over a 12-month period, ranging from 31 to 65 % (61–128 kg CO₂/m3), depending on stockpile configuration and duration. Shallow, spread-out stockpiles maximize CO₂ absorption by increasing surface exposure and airflow. Dust particles fully carbonate within weeks (31 % of calcination emission), whereas larger particles carbonate progressively over time. Secondary use of RCA in new concrete further enhances its carbon sink potential due to its residual reactivity and increased porosity. Overall, concrete demonstrates substantial carbonation potential, with total CO₂ uptake ranging from 35 % to 68 % of calcination emission.</p

Spawned

Spawned is a choreography for VR exploring the creation of a particle push/pull environment for dancers. This research explored whether VR interactivity can bring new possibilities for movement development by immersing dancers in a virtual space. The project investigated how digital landscapes influence physical performance and choreography. The research contributes to the evolving discourse on digital performance, demonstrating the potential of VR to transform traditional dance practices. In Spawned, the dancer uses a VR headset to enter an interactive digital landscape. Particles in this environment react in real-time to the movement of the dancers hands providing immediate feedback. The dancer interacts with virtual objects, with the right hand attracting particles and the left propelling them away. The VR space challenges the dancer to experiment with different movement patterns, creating a dynamic choreographic response and an adaptive performance.</p

Label-free detection of cardiac troponin I and complex using surface plasmon resonance for assessing acute myocardial injuries

Accurate diagnosis of myocardial injury is crucial in clinical practice, as it enables prompt treatment, reduces the risk of complications, and improves patient outcomes. Examining cardiac troponin composition offers distinct advantages as it provides valuable insights that help differentiate between ischaemic and non-ischaemic causes of cardiac injury, thereby directly enhancing clinical assay specificity. Current high-sensitivity troponin assays target all circulating forms of either troponin I or T but are unable to distinguish individual forms or specific combinations. This is an issue as troponin is also elevated in non-cardiac conditions, and emerging evidence suggests that the ratio between troponin I and TIC complex isoforms may serve as an indicator for differentiating acute from chronic myocardial injury. Here, we introduce a methodology utilising a label-free Surface Plasmon Resonance biosensor to detect and differentiate between troponin I and complex isoforms. Unlike traditional immunoassay, which requires indirect labelling with secondary antibodies to detect these biomarkers, this method provides a real-time detection of these isoforms, as each antibody interaction with the specific analytes provides a quantitative reading. We demonstrated that this method can detect complexed and free troponin I in varying ratios. This method has the potential to be developed into point-of-care testing and opens avenues for isoform-specific prognostic assays.</p

All-Weather Flood Mapping Using a Synergistic Multi-Sensor Downscaling Framework: Case Study for Brisbane, Australia

Despite a growing number of Earth Observation satellites, a critical observational gap persists for timely, high-resolution flood mapping, primarily due to infrequent satellite revisits and persistent cloud cover. To address this issue, we propose a novel framework that synergistically fuses complementary data from three public sensor types. Our methodology harmonizes these disparate data sources by using surface water fraction as a common variable and downscaling them with flood susceptibility and topography information. This allows for the integration of sub-daily observations from the Visible Infrared Imaging Radiometer Suite and the Advanced Himawari Imager with the cloud-penetrating capabilities of the Advanced Microwave Scanning Radiometer 2. We evaluated this approach on the February 2022 flood in Brisbane, Australia using an independent ground truth dataset. The framework successfully compensates for the limitations of individual sensors, enabling the consistent generation of detailed, high-resolution flood maps. The proposed method outperformed the flood extent derived from commercial high-resolution optical imagery, scoring 77% higher than the Copernicus Emergency Management Service (CEMS) map in the Critical Success Index. Furthermore, the True Positive Rate was twice as high as the CEMS map, confirming that the proposed method successfully overcame the cloud cover issue. This approach provides valuable, actionable insights into inundation dynamics, particularly when other public data sources are unavailable.</p