Swinburne University of Technology

On The Geometry of Time in Rational Agency

Standard economic theory treats time as an exogenous, linear parameter that indexes choice and coordination. This paper argues that such treatment obscures a constitutive feature of rational agency. We develop a coherence-based framework in which the temporal structure relevant t...

Little Red Dots host Black Hole Stars: A unified family of gas-reddened AGN revealed by JWST/NIRSpec spectroscopy

Abstract We construct and characterise a sample of 146 little red dots (LRDs) across 2.0 < z < 9.3, selecting all sources with v-shaped UV-optical continua from JWST NIRSpec/PRISM spectra and compact morphologies in NIRCam/F444W imaging. We show that LRD continuum spectra are wel...

Building a Physics-Aware AI Ecosystem for Solid-State Hydrogen Storage Materials

Abstract Hydrogen storage remains a central bottleneck for scalable hydrogen energy systems due to the multiscale and coupled nature of the thermodynamics, kinetics, and microstructural evolution of hydrogen storage materials (HSMs). Although artificial intelligence (AI) has acce...

Bosonic ghost correlators: a case study

A bstract There has been a lot of recent work addressing the representation theory that underlies logarithmic conformal field theories. A full understanding of these models will however also need analytic data, in particular the correlation functions. Here, we explore the correla...

Co-designed development of a vocational education and training program for peer health and social care navigators in Australia

<title>Abstract</title> Background Peer health navigators (lay patient navigators) are increasingly used to support consumers to access and navigate health and social care systems, particularly for populations experiencing barriers to care. Despite growing evidence of their effec...

Using Generative Artificial Intelligence to Identify Themes of Basic Psychological Needs in Popular Song Lyrics

Music listening is a universal human behaviour, increasingly recognised for its association with well-being. The mechanisms underlying how music listening influences well-being remain unclear, especially in terms of broader motivational processes. Utilising a self-determination t...

Global Mittag–Leffler synchronization of fractional-order Clifford-valued neural networks with mixed time-varying delays via adaptive quantized pinning control

Abstract The objective of this paper is to establish verifiable synchronization criteria for fractional-order Clifford-valued neural networks with mixed time-varying delays when the response system is controlled through finite-resolution communication channels. The model contains...

Biochemical and elemental composition stability of garlic (Allium sativum) under controlled 3.5 GHz radiofrequency exposure

Abstract The rapid deployment of 5G-enabled smart farming infrastructure has increased the likelihood of continuous radiofrequency (RF) exposure of agricultural crops. However, standardized baseline data describing molecular and elemental stability of food crops under controlled...

Producing public rental housing towers in Chongqing: how regulations and cost discipline standardize height, type and Façade

Purpose This paper explains why Chongqing’s public rental housing towers converge in height, plan type and facade treatment. It examines how a national fire-safety height threshold, municipal daylight-spacing rules and cost-disciplined delivery narrow design choices into a repeat...

Does vitamin D supplementation modulate metabolic risk factors of cardiovascular disease? A systematic review and meta-analysis of clinical trials.

BACKGROUND AND OBJECTIVES: Vitamin D has been proposed to influence several cardiometabolic risk factors; however, evidence from randomized controlled trials (RCTs) and recent meta-analyses remains inconsistent regarding the magnitude of these effects. This meta-analysis evaluate...

Deep learning for automated rock core image analysis: Weathering classification, fracture detection, and 3D geological modelling

Rock core images are a primary source of subsurface information, but conventional manual logging is slow, labour-intensive and prone to subjective error. This study presents CoreVision, an end-to-end data-driven workflow for automated interpretation and digitisation of drilling-c...