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Nanomaterial-Integrated 3D Biofabricated Structures for Advanced Biomedical Applications
No full textIn recent times, the integration of nanomaterials into 3D biofabricated structures has become a transformative approach in advancing the biomedical field. Nanomaterials exhibit distinctive properties such as superior mechanical strength, enhanced biocompatibility, and improved drug delivery efficiency, making them well-suited for biomedical use. This comprehensive review explores the synergistic potential of combining nanomaterials—such as metallic, carbon-based, ceramic, and polymeric nanoparticles—with advanced 3D biofabrication techniques, including 3D bioprinting, melt electrowriting, and electrospinning. These integrations have demonstrated significant promise in diverse biomedical applications, such as regeneration of nerve, bone, and cardiac tissues, wound healing, and cancer therapy. Despite substantial progress, several challenges hinder clinical translation, including difficulties in achieving precise nanomaterial integration, biocompatibility and toxicity concerns, scalability in manufacturing, and regulatory complexities. This review synthesizes recent advancements, evaluates existing challenges, and identifies key research directions to address these obstacles. It highlights the significance of interdisciplinary collaboration in maximizing the potential of nanomaterial-integrated 3D biofabricated structures and promoting innovative advancements in biomedical science and healthcare.</p
Circulate Solitary
No full textFilmed from the back of a motorbike, Circulate Solitary traces a journey through a part of Ho Chi Minh City where circulation dominates and place is divided. Here, roads leading northward converge with bridges and the metro, creating a space shaped by the logic of urban planning yet stripped of the qualities that make the city vibrant and alive—its communities.Colour overlays act as reminders of what is absent. Intimate sequences, filmed while moving through the city centre, capture the spectacle of pavements, the choreography of motorbikes, and fleeting moments of connectedness. These stand in stark contrast to the black-and-white imagery of routes that lead only elsewhere.</p
Translators as Ear Witnesses: Towards Best Practice in Forensic Transcription and Translation
No full textForensic translation is the task of converting audio source into written text which is used as evidence in a wide range of criminal cases. In monolingual settings, forensic speech evidence plays an integral role in the legal system. However, when the audio recordings contain Languages Other Than English the speech interaction needs to be translated into English, therefore T&I practitioners are engaged to carry out the task. In practice, translating poor quality recordings into English is a complex, dynamic process, which goes beyond the linguistic level. The challenging task is compounded by the lack of available training for the T&I practitioners to learn how to undertake such assignments as well as the absence of work protocols and guidelines. The best practice method recommended by the National Association of Judiciary Interpreters and Translators (US) for Forensic Transcription and Translation involves a two-step process (transcribing the audio content and then translating it), yet its applicability to the Australian context has not been tested. This research provides a comparative analysis of the effectiveness and limitations of the recommended two step and the direct translation approaches. It further proposes a risk-based framework to assess the impact of the errors introduced to the evidence and to evaluate the overall quality of the translated document.</p
Efficient Design of Vehicle Safety Systems based on Predicted Occupancy Grids and Statistical Learning
No full textRecent advances in the sensing and computing technology have fuelled the research towards developing driverless vehicle technology. With human errors being the major cause of road accidents, autonomous or highly intelligent vehicles have the potential to positively impact tens of millions of people. One of the important but challenging problems for autonomous vehicles is to plan a safe, collision-free, trajectory. In order to achieve this, it is important not only to take into account the dynamic constraints of the vehicle, but also the motion of the traffic participants in the driving environment, such as cars, bicycles, and pedestrians.Therefore, it is crucial to reason about the motion behavior of the traffic participants in future time instances, so that the planned trajectory for the so called ego vehicle, the vehicle in which the safety algorithm operates, has a low risk of collision with the surrounding traffic participants. This work presents a model-based approach is presented to compute Predicted Occupancy Grid Maps (pOGMs), which are introduced as a grid-based probabilistic representation of the future traffic scenario that includes both behaviors of the traffic participants and interactions between them. However, due to the large number of possible trajectories for each traffic participant, the model-based approach incurs a high computational load, hindering its application in real-time vehicle safety systems.Thus, a machine learning approach has been adopted for computing pOGMs. A number of novel machine learning architectures based on random forests, denoising autoencoders, deconvolution networks, and convolutional variational autoencoders have been developed in this work. Additionally, a novel enriched representation of the current instance of a traffic scenario termed as the augmented Occupancy Grid Map (aOGM), has been introduced in this work to serve as the input for the machine learning algorithms. The developed algorithms have been validated using real-world data collected from three different road infrastructures: T-junctions, roundabouts, and highways. The applications of pOGMs in improving crucial vehicle safety components such as trajectory planning and criticality estimation have also been demonstrated.</p
All the Places I Have Lived v3.0
No full textOriginally from Germany I moved to Ho Chi Minh City, Vietnam in my early 20s where I have been working as a commercial and documentary photographer in in recent years follow an academic career. In this work I use my own long term experience as a migrant to reflect on changes in my identity through memories of the nine different neighbourhoods I lived in through the past two decades. The overall approach is autoethnographically. The starting point being a return to the places I’ve called home across Ho Chi Minh City (Saigon)—neighbourhoods I’ve lived in since arriving in the city in 2004. I revisited these locations and photographed each of them upon my return, building a personal archive that forms the foundation for training a series of custom AI models using DreamBooth in Stable Diffusion. Rather than simply reconstructing what once was, my aim was to evoke how these places live on in memory, and how these memories are distorted over time. The resulting images are shaped as much by feeling as by fact.To take this further, I developed a small Python-based tool I call Memory Infuser. It applies glitch-like visual distortions to the AI-generated images, guided by short written texts – my personal memories, tied to each place. Each image produced is singular, responding only to the specific combination of image and memory input. This process weaves together personal photography, machine learning, text, and generative aesthetics. The outcome is intentionally unstable and layered, emotionally charged, and impossible to replicate. These are not just pictures of places, but impressions of how it could have once felt to be there.At its heart, this project is a reflection on memory and the concept of home - on how we carry fragments of the past with us, and how those fragments shape who we think we are. It’s less about documenting a place and more about trying to capture the emotional traces it leaves behind. Using digital tools, I’ve tried to reimagine these traces - not as exact replicas of experience, but as visual echoes that blur the line between memory and invention. The work asks how identity shifts over time, and how technologies - especially those powered by algorithms—might influence the way we remember or even rewrite parts of ourselves. I’m interested in that tension: between what we hold onto and what gets distorted in the process. I hope the artwork evokes in the viewers an association with their own memories and the questions on what is real and what is not.The final piece is made up of digital images generated with Stable Diffusion, trained on photographs I’ve taken in different parts of Saigon. To disrupt and reshape these AI-generated scenes, a small Python-based tool called Memory Infuser is used to distort the images, using fragments of written memory as input - so each image is shaped by both code and personal experience. By combining photography, generative AI, and written text, I was able to create a process that feels layered and unpredictable. The glitch effects are not just visual noise - they echo the way memory changes over time, how emotion can tint what we recall. These images don’t aim for accuracy. They reflect how a place felt, not how it looked. I chose these tools and techniques because they leave room for uncertainty and interpretation. That openness feels essential for a project about identity - something that’s never fixed, always shifting, and deeply affected by where we’ve been and how we remember it.</p
Wong Mobile Ancestral Hall
No full textAs a Chinese-Australian artist, with multi-generational history in Australia since 1884, my practice focuses on continuing research into the nuances of the relationship between the individual and place, through ‘site-specific art’ practices (Kwon, 2002). My research asked ‘How can Chinese-Australian diasporic ancestry be represented through site-specific art practices? In traditional Chinese culture, the ancestral village is associated with a family clan over many generations, with an ‘ancestral hall’, a building to commemorate the ancestors. I was able to identify Siew Chek Hum, Doumen, Guangdong, China, as our ancestral village, containing three Wong ancestral halls, all interconnected. As part of the diaspora, I created a Wong Mobile Ancestral Hall (2024) symbolic of my spiritual home, as a mobile sculptural entity. In my physical home of Mount Corhanwarrabul (aka Mt Dandenong), I took part in ‘On Country/In Residence’ a walking residency led by Wurundjeri artist Mandy Nicholson on the newly established ngurrak barring (Mountain Path). Taking my Wong Mobile Ancestral Hall, I performed the act of walking on my physical home whilst carrying my ancestral home, an attempt to metaphorically bring two concepts of home and together. Outcomes of this research were a series of artworks 1. Wong Mobile Ancestral Hall, mixed media sculpture, 2. The Convergence of my Home/s, photograph 3. Experiencing Tikilara, mixed media scroll works responding to the residency. These three works were shown at the exhibition ngurrak-al marram-u (Body of the Mountain) at the Burrinja Cultural Centre, Upwey co-curated by Mandy Nicholson, Gretel Taylor and Gulsen Ozer.</p
Understanding the impact of store innovativeness on organic food purchase intention: a mediation and moderation analysis
No full textThis study aims to examine the relationship between store innovativeness and organic food purchase intention, with the mediating role of shopping experience and the moderating role of customer service. A survey method was employed to collect data from 1,051 consumers in a key emerging market in Asia. Results from structural equation modeling show that store innovativeness positively influences consumer intention to purchase organic food. Furthermore, in-store shopping experience mediates this positive association, and customer service moderates the relationship between store innovativeness and shopping experience. This study adds to the limited research into how retailers can contribute to promoting sustainable food consumption by investigating the impact of key in-store factors on organic food purchase intention. This study’s findings encourage retailers to focus on store innovativeness to enhance shopper experiences and organic food purchases.</p
Comparative analysis of Mpox clades: epidemiology, transmission dynamics, and detection strategies
No full textBackground Monkeypox (Mpox), a zoonotic disease caused by the monkeypox virus, has gained global attention due to rising incidence and the emergence of new clades. Understanding the epidemiology, transmission dynamics, and diagnostic challenges associated with the two major clades, Clades I and II, is crucial for outbreak preparedness and control.Methods This review analyzes Mpox clades, highlighting their geographic distribution, virulence, transmissibility, and diagnostic approaches. It also presents recent outbreaks, diagnostic advancements, vaccination strategies, and critical research gaps in Mpox surveillance and response.Results Clade I, primarily in Central Africa, exhibits the highest virulence with a 5–10% case fatality rate. Clade II, which includes subclades IIa, IIb, and the newly identified Clade Ib, demonstrates lower virulence but higher transmissibility beyond endemic regions. Recent outbreaks (2022–2024), driven by Clade IIb, present atypical clinical presentations and emphasize intimate human-to-human contact as a key transmission route. Polymerase chain reaction, next-generation sequencing, and emerging CRISPR-based diagnostics have improved detection, while modified vaccinia Ankara-based vaccines have shown effectiveness despite challenges in equitable distribution.Conclusions Addressing critical research gaps, such as clade-specific virulence mechanisms, zoonotic reservoirs, and evolutionary patterns, is essential for improving Mpox surveillance and control. Strengthening genomic surveillance, expanding access to affordable diagnostics, and fostering international collaboration will enhance preparedness for future outbreaks and mitigate the impact of this emerging infectious disease.Highlights• Comparison of Mpox virus (MPXV) clades, in geography, virulence, transmission, and clinical outcomes between Clade I, Clade II, and emerging subclades IIb and Ib.• The epidemiology of Mpox focuses on the 2022–2024 global outbreaks of Clade IIb, marked by unusual clinical presentations and fast human-to-human spread in non-endemic areas.• Key advancements in diagnostic technologies like PCR, NGS, and CRISPR assays, improving MPXV detection and clade differentiation.• The effectiveness of MVA-based vaccines against various MPXV clades is presented while highlighting challenges in equitable distribution and region-specific vaccination strategies. • Emerging Mpox research priorities include genomic surveillance, clade-specific virulence, affordable diagnostics, and overcoming socioeconomic barriers to outbreak management</p
Navigating the Counter-Historical Turn: Making Histories With Young People in Two Australian Cities
No full textThis article navigates a counter-historical turn in postfoundational qualitative research. Re-reading the philosophy of history through radical black, Indigenous, and decolonial traditions, the article premises the counter-historical turn on a cosmologica pluralization and deformalization of historical experience. The authors elaborate the contours of the counter-historical turn in relation to recent projects with young people on unceded Indigenous lands in the Australian cities of Naarm (Melbourne) and Djilang (Geelong). Focusing on the affective power of the image in shattering the representational logic and sense of imperial history, the article offers practices of fragmentary encounter, rupture, and re-assembly in working toward the responsible production of counter-histories on sovereign Indigenous lands.</p
The Role of Functional Ingredients in the Management of Dyslipidemia
No full textCardiovascular Disease is the leading cause of death globally, with atherosclerosis primarily driven by dyslipidemia. Dietary adjustments and lifestyle modifications can improve blood cholesterol levels. Fortified foods have shown significant LDL cholesterol-lowering effects especially among hypercholesterolemic individuals, with phytosterols indicating the strongest effect. While many functional ingredients are studied individually, research on their combined use remains underexplored in large trials. Food matrices can impact the delivery and effectiveness of these ingredients. This review examines how individual functional food products influence blood cholesterol levels suggesting that combining them may produce synergistic effects, offering a ‘food first’ approach for mitigating cardiovascular disease risk.</p