19683 research outputs found
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Bacteriophage FNU1 negates Fusobacterium nucleatum induced cell growth, migration and chemotherapy resistance in gastrointestinal cancer cells
No full textBackground: Fusobacterium nucleatum is an oncobacterium capable of promoting the growth and chemotherapy resistance of colonised tumours. Although F. nucleatum is usually susceptible to a range of antibiotics in vitro , these have been associated with worse outcomes when administered with anti-neoplastic chemotherapy. Bacteriophages are viewed as natural alternatives to antibiotics that provide bacterial-specific targeting. Methods: In this study, we have employed an F. nucleatum specific bacteriophage, FNU1, to limit the effects of this oncobacteria in colon cancer and gastric cancer cell models. Results: We demonstrated that FNU1 was able to negate the F. nucleatum induced growth stimulatory effects, migratory ability, autophagy, anti-apoptotic effects and chemotherapy resistance in these cell models. Conclusion: Treatments with bacteriophage FNU1, therefore, have the potential to augment existing cancer therapy, and further testing in animal models is warranted.</p
Glucose, xylan and cellulose differ in nitrate assimilation and remineralization in nitrate-rich plastic-greenhouse soils
No full textNo description supplied.</p
Balanced models for wetland cover types
No full textThis dataset is for the manuscript "New models for classifying heterogeneous cover types in wetlands of the Greater Melbourne region". It contains the balanced models for that study.</p
Business optimization for digital manufacturing: A fine-tuned large language model approach
No full textDigital manufacturing depends on optimization to make complex, time-critical production decisions. Yet problem formulation, an important step in optimization, still requires scarce domain expertise and strongly affects both solution validity and computational efficiency. Despite progress in modeling languages, problem formulation remains a complex undertaking, particularly for real-world digital manufacturing applications. Recent advances in large language models (LLMs) offer considerable potential for automating problem formulation in digital manufacturing contexts. However, existing studies are largely descriptive and benchmark-oriented. To our knowledge, they have not demonstrated execution-verified deployments in real-world digital manufacturing setups; instead, they have focused on synthetic or simplified cases. We introduce a systematic, cost-efficient framework that fine-tunes LLMs to automate problem formulation specifically for digital manufacturing optimization. The approach integrates modularization and prompt engineering to deliver scalable performance and quantitative validation beyond prior descriptive work. Experiments demonstrate success rates exceeding 95% in producing accurate, solver-ready formulations for both classic job-shop scheduling and real-world production scheduling, verified via execution-based evaluation on digital manufacturing case studies. On linear-programming benchmarks, the method yields approximately 30% improvement over state-of-the-art prompt-engineering baselines, while embedding analyses indicate robustness on complex combinatorial problems. Practically, the framework accelerates operator adaptation to complex planning tasks, improving production efficiency while reducing dependence on expert modelers and shortening decision cycle times. These capabilities are highly applicable to real-world digital manufacturing contexts where fast and accurate decision-making is critical. The cost-efficient design further enables adoption by small and medium-sized manufacturers with limited computational resources.</p
Applying Knowledge of Migration Behaviour to Improve eDNA Detection of a Threatened Fish, the Australian Grayling (Prototroctes maraena)
No full textDetecting rare fish species across extensive river systems can be challenging due to their low abundance. However, detection probability may increase when individuals aggregate within localised areas during the spawning season. This study investigates whether environmental DNA (eDNA) detection probability can be improved for the threatened Australian grayling (Prototroctes maraena) by concentrating sampling effort in the putative spawning grounds (lower freshwater reaches) during the spawning season. Eight replicate water samples were collected from each of three sites in the Tuross and Deua rivers in New South Wales (NSW), where Australian grayling occur in very low abundance, and from three sites in the Bunyip River in Victoria (positive field control)—one of the last rivers supporting a relatively high abundance of this species. Sampling was conducted on six occasions between April and June 2023 to coincide with the species' downstream migration to spawning grounds. A species‐specific quantitative PCR (qPCR) assay targeting the Australian grayling COI gene was developed and applied to detect the species using six replicate qPCR reactions per sample. Australian grayling were detected or putatively detected in 78% of sampling occasions in the Tuross River and 100% of sampling occasions in the Deua and Bunyip rivers. The proportion of positive qPCR replicates was much higher in the Bunyip River, consistent with the species' higher abundance in this location. Nevertheless, there was a peak in detection probability in the NSW sites from May to early June, confirming the efficacy of a targeted sampling strategy coinciding with spawning aggregations in the lower reaches. The study's findings demonstrate the benefits of incorporating knowledge of behaviour into eDNA survey design for improved detection of low‐abundance species, which can assist in informing threatened fish recovery actions.</p
Heritage Victoria’s Maritime Heritage at Risk Program: 10 Years On
No full textThis paper was included in the 14th issue of Excavations, Surveys and Heritage Management in Victoria and was presented at the annual Victorian Archaeology Colloquium held at La Trobe University on 7 February 2025.</p
The archaeology of marginal communities in the Literature Lane Archaeological precinct
No full textThis paper was included in the 14th issue of Excavations, Surveys and Heritage Management in Victoria and was presented at the annual Victorian Archaeology Colloquium held at La Trobe University on 7 February 2025.</p
Earth, Microbes and Fire: Soil Microbial Community Dynamics in a Fire-Frequent Tropical Savanna
No full textA thesis submitted in total fulfilment of the requirements for the degree of Master of Science to the School of Agriculture, Biomedicine and Environment, La Trobe University, Victoria, Australia.</p
Integrative Human Branding - Brand Building and Brand Management in the Logic of Value Co-Creation
No full textA thesis jointly submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy to the La Trobe Business School, La Trobe University, Victoria, Australia, and, in partial fulfillment of the requirements for the degree of Doctor of Economics to the Faculty of Law and Economics, University of Bayreuth, Germany.</p
Dissecting Protein Quality Control in Neurodegenerative Disease
No full textA thesis submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Agriculture, Biomedicine & Environment La Trobe Institute for Molecular Science (LIMS), La Trobe University, Victoria, Australia.</p