UNSW Sydney

Epigenetic Silencing of CYYR1 Promotes Lung Adenocarcinoma Progression Through TRIM21‐Dependent Regulation of HMMR Stability

ABSTRACT Lung adenocarcinoma (LUAD) remains a leading cause of cancer‐related mortality. Integrative multi‐omics and machine‐learning analyses across independent cohorts identified CYYR1 as a frequently downregulated transmembrane protein in LUAD, with low expression associated w...

Synergistic Interfacial Regulation by Nano‐TiO 2 and Carboxylated Cellulose Nanofibers for Multiscale Surface Stabilization of Cementitious Composites

ABSTRACT In this study, a composite‐modified cementitious system incorporating nano‐TiO 2 and carboxylated cellulose nanofibers (CCNF) was developed to unveil the synergistic mechanism between point‐like nucleation induced by nano‐TiO 2 and interface‐induced deposition regulated...

Bronchoscope Tip Localization With Learned Airway Constraints and an Open Source Simulator

Accurate bronchoscope localization is challenging because airway images contain limited texture and similar views across branches. We present BronchoLoc, a learning‐based framework that combines monocular video with a preoperative CT centerline graph to estimate the 3D bronchosco...

The implementability of healthcare professional-led physical activity promotion interventions for people living with multiple sclerosis: A scoping review

Objective To identify healthcare professional-led physical activity promotion interventions for multiple sclerosis care and evaluate their implementability. Data Sources A systematic search was conducted across CINAHL, Scopus, MEDLINE, PEDro, SPORTDiscus, PsycINFO, CENTRAL, OpenG...

Mesoscale structures in signed networks

Mesoscale structures in signed networks have been studied under the limiting assumption of the validity of social balance theory, which predicts positive connections within groups and negative connections between groups. Here, we propose and apply a methodology that overcomes thi...

hpci improves reproducibility of computational biology research by integrating Continuous Integration with High Performance Computing clusters

Abstract Motivation The reproducibility crisis in bioinformatics and computational biology can be mitigated by using Continuous Integration (CI), a proven software engineering practice, to automate the testing of analysis pipelines and models. However, the adoption of CI in bioin...

Quantitative cellular morphology in neurodegenerative and neuropsychiatric diseases: insights into disease mechanisms and therapeutic discovery

Abstract Background Neurodegenerative and neuropsychiatric diseases are characterised by complex cellular pathology involving coordinated alterations across multiple subcellular components. Advances in high-content imaging, multiplexed fluorescent labelling, and quantitative imag...

Antarctic sea ice over the past 130 000 years – Part 2: A review of its role in the Earth system

Abstract. Antarctic sea-ice cover reached historically low levels in 2023, consistent with the simulated decrease in sea-ice extent in response to anthropogenic warming. Antarctic sea ice is closely linked to multiple components of the Earth system, thus its demise could precipit...

Ultrafast Aqueous Photoinduced Electron/Energy Transfer Reversible Addition–Fragmentation Chain Transfer Polymerization-Induced Self-Assembly: Wavelength-Dependent Morphologies and Scalable Nanoparticle Preparation

Abstract Photoinduced electron/energy transfer–reversible addition–fragmentation chain transfer (PET-RAFT) polymerization offers a powerful route to oxygen-tolerant polymer synthesis under visible light, yet slow polymerization rates remain a persistent bottleneck for further dev...

Toward Accurate Molecular Counting in EC-STORM via Reversible Stochastic Dye Switching

Abstract Molecular counting using stochastic optical reconstruction microscopy (STORM), is often limited by random fluorophore reblinking, which makes repeated localization events hard to assign to the same or different molecules. Here, we turn reblinking from a source of uncerta...

No effect of short‐term exposure to ocean acidification on individual‐level variation in behaviour and susceptibility to predation in a Great Barrier Reef damselfish

Abstract Ocean acidification, caused by rising carbon dioxide (CO 2 ) in the atmosphere, has been reported to negatively impact a wide variety of behaviours in fishes, including activity, exploration, and predator avoidance. These effects have been documented at the population le...

Targeting delirium in gastric surgery: An interpretable predictive model and statistical analysis in critical care

Background Postoperative delirium is a serious complication in elderly ICU patients after gastric surgery, increasing mortality and healthcare burden. Early identification of high-risk patients may support timely prevention and optimise perioperative care. Objective To develop an...

Vascular device practices in extremely preterm infants: an international cross-sectional survey

Abstract Objective To explore global practices in vascular device selection, securement, and monitoring for extremely preterm infants, and to assess regional variation. Study design A web-based cross-sectional survey was completed by one respondent per neonatal unit. Result We re...

Listen to Your Heart and Mind: A Pilot Mixed‐Methods Study on Combined Screening for Raised Blood Pressure, Atrial Fibrillation, Cognitive Impairment and Hearing Loss in Older Adults

ABSTRACT Objective To determine the potential feasibility and acceptability of combined screening for raised blood pressure (BP), atrial fibrillation (AF) and cognitive impairment (CI) in older adults within a setting of hearing health assessment for detection of hearing loss. Me...

Using multi-trait polygenic scores to predict lithium responsiveness in patients with bipolar disorder

Background The predictive power of polygenic scores (PGSs) for lithium treatment response in bipolar disorder remains limited. Aims To enhance the prediction of lithium responsiveness by developing a multi-trait PGS (mt-PGS) combining genetic information from multiple phenotypes...

Are QM/MM models systematically improvable? A case study on carbonic anhydrase binding affinities

Hybrid quantum mechanics/molecular mechanics (QM/MM) is the method of choice for modelling large biochemical systems, but their performance depends critically on how they are implemented. This paper examines the sensitivity of QM/MM enzyme-ligand binding energy predictions to key...

Beyond Scalar Objectives: Expert-Feedback-Driven Autonomous Experimentation for Scientific Discovery at the Nanoscale

Abstract Self-driving laboratories or autonomous experimentation are emerging as transformative platforms for accelerating scientific discovery. Bayesian optimization (BO) is among the most widely used machine learning frameworks in self-driving laboratories, but these BO-based f...

Personalized regulatory guidance during online cloze tasks: Performance, emotions, and exploratory self-efficacy differences

This study examined whether personalized regulatory guidance supports students' performance, emotions, motivation, and strategy use during online cloze tasks, and whether problem-solving self-efficacy is associated with variability in students' responses to such guidance. Forty-e...

Burden assessment tools in epilepsy caregiving: A scoping review

Background Informal caregivers of people with epilepsy (PWE) experience a substantial burden because of the chronic nature and unpredictability of seizures. Although several caregiver burden assessment tools are available to quantify this burden, little is known about which of th...

Engineering Antibody Evolution: Germline‐Targeting HIV Vaccines Reach a Turning Point

This commentary examines three recent Nature studies demonstrating a conceptual shift in HIV vaccine design, demonstrating how germline-targeting HIV vaccines can progress beyond expanding rare broad neutralizing antibody (bnAb) precursors to deliberately guiding their affinity m...