Digital Commons Network^™

Beyond Weight Loss: Effects Of Trx Suspension Training Combined With Caloric Restriction On Thyroid Function And Mental Well-Being In Obese Hypothyroid Women, Siavash Naddafha, Christopher B. Taber

Research outputs 2022 to 2026

Background: The rate of metabolism decreases in hypothyroid patients; hypothyroidism is associated with body mass increases; due to this and other factors, depression, anxiety, and stress increase, which, alongside the disease state and psychological problems, causes the quality of life to suffer. Objectives: The purpose of this research is to investigate the effect of caloric restriction along with TRX exercise on body mass, thyroid hormones, and psychological measures in obese and overweight women with hypothyroidism. Methods: 34 women aged 18–50 with hypothyroidism and a body mass index above 25 participated in this study. They were divided into three groups: a …

Evidence For Direct And Sleep-Moderated Relationships Between Aquaporin-4 Genetic Variants And Alzheimer's Disease Phenotypes, Tenielle Porter, Ayeisha Milligan Armstrong, Eleanor K. O'Brien, Vincent Doré, Pierrick Bourgeat, Mitchell Turner, Paul Maruff, Christopher C. Rowe, Belinda M. Brown, Victor L. Villemagne, Stephanie R. Rainey-Smith, Simon M. Laws

Research outputs 2022 to 2026

Introduction: Variants in the aquaporin-4 gene (AQP4) have been associated with Alzheimer's disease (AD) diagnosis, cognition, and brain amyloid beta (Aβ) and may affect the sleep and Aβ relationship. Their association with other AD-related phenotypes/disease progression remain largely unknown. Methods: Associations between AQP4 variants, self-reported sleep measures, and AD-related phenotypes in cognitively unimpaired individuals with evidence of Aβ accumulation were examined using data from the Australian Imaging, Biomarkers and Lifestyle study. Results: AQP4 variants were directly associated with regional brain volumes, atrophy, and cognition. They were also associated with differences in regional brain volumes and atrophy in interaction with sleep …

Exploring The Fidelity Of Resistance Training Interventions In Regional, Rural, And Remote Cancer Care: A Systematic Scoping Review, Christopher W. Rowe, Nicolas H. Hart, Julia Carlino, James Murray

Research outputs 2022 to 2026

Resistance-based exercise interventions are an integral part of supportive cancer care, though their high quality and high-fidelity implementation with people with cancer living in non-metropolitan locations is challenging. This systematic scoping review aimed to identify how exercise prescription principles and measures of fidelity are reported in resistance-based exercise interventions delivered to people with cancer living in regional, rural and remote areas. A systematic scoping review was conducted in accordance with the PRISMA-ScR guidelines. Five electronic databases were searched (MEDLINE/PubMed, Embase, CINAHL, SCOPUS and SportDiscus) for peer-reviewed studies published in English, that delivered a resistance-based exercise intervention to adult cancer survivors …

From Thin Films To Energy Systems: A Perspective-Oriented Translational Framework For Deployable Functional Materials, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

The translation of high-performance thin-film materials from lab-scale development to field-deployable energy systems remains a significant holdup in sustainable technology development. The real-world impact of functional thin films, nanocomposites, and emerging photovoltaic architectures is often limited by issues with scalability, interfacial reliability, environmental stability, and system-level integration, despite their excellent optical and electronic performance at the device level. A translational framework that is deployment-oriented and systematically connects interface-centric device integration, application-context validation, system-level performance feedback, and process-aware thin-film engineering has been presented in this article. Common structure-property-deployment trade-offs are identified through a comparative analysis of representative case domains, such as …

Geometric Characterization Of Ideals In Bipolar Semigroups, Kittipong Laipaporn, Rasimate Maungchang, David M. Cook, Prathomjit Khachorncharoenkul

Research outputs 2022 to 2026

This paper develops a geometric framework for analyzing the ideal structure of the bipolar semigroup ��={(−��,��)∣��,��∈ℝ+0} under coordinate-wise addition. Subsets of B are interpreted as planar regions, allowing ideals to be described in terms of boundary behavior. In particular, we prove that the complement of a simply connected region is an ideal of the commutative additive semigroup (��,+) if and only if its boundary contains no strictly decreasing segment. This provides a direct and visually verifiable criterion for ideality, linking algebraic structure to geometric shape. Each ideal can be written as a union of translates of the form ��+��, with …

Geographic Range And Body Size Influence Abundance Patterns In Reef Fishes, M. F. Maxwell, D. R. Barneche, R. Divieso, S. R. Floeter, O. J. Luiz, A. L. Luza, M. R. Pie, A. C. Siqueira, M. G. Bender

Research outputs 2022 to 2026

Aim: Understanding how body size and geographic range size influence species abundance is central to macroecology. Here, we characterized these relationships for reef fishes, the world's most diverse vertebrate group, across global and regional scales. Location: Global tropical and subtropical reefs. Time Period: Current. Major Taxa Studied: Reef-associated fishes. Methods: We compiled a comprehensive dataset on abundance, body size and geographic range size for 828 reef fish species. Abundance was measured as density (ind/m²) using transect-based observational data. To analyse global-scale patterns, we applied Bayesian quantile regressions and Bayesian phylogenetic regressions to account for phylogenetic relatedness. We also …

Global, Regional And National Burden Of Maternal Haemorrhage (2000–2021) And Projections To 2050 In 204 Countries And Territories, Mulat Ayele, Bereket Duko, Tenaw Tiruye, Paul R. Ward, Lillian Mwanri, Gavin Pereira, Tegene Atamenta Kitaw, Biruk Beletew Abate, Eyob Shitie Lake, Abebaw Alamrew, Aynalem Yetwale, Gizachew Yilak, Befkad Derese Tilahun, Chalie Mulugeta, Tadele Emagneneh, Amanuel Tesfay Gebremedhin

Research outputs 2022 to 2026

Objective: To estimate the global, regional and national burden of maternal haemorrhage (2000–2021) and its 2050 projections in 204 countries and territories. Design: This study systematic analysis of the burden of maternal haemorrhage sourced data from the Global Burden of Disease (GBD) 2021 study. We estimated the incidence, mortality, disability-adjusted life years (DALYs), years lived with disability (YLDs) and years of life lost (YLLs) due to maternal haemorrhage. Changes in the burden from 2000 to 2021 were computed using AAPC. To detect statistically notable changes in the trends of maternal haemorrhage metrics between 2000 and 2021, Joinpoint regression analysis using …

Georoad-Upernet: Geo-1-Based Weakly Supervised Multispectral Road Extraction Via Role-Aware Context Fusion And Semantic Regularization, Shaoqian Chen, Yunliang Chen, Jianxin Li, Ao Yang

Research outputs 2022 to 2026

Extracting roads accurately from remote sensing images is important for map updates, traffic analysis, and infrastructure monitoring. Medium-resolution multispectral images can provide useful surface and background information, but when used alone, the spatial details are limited for retaining narrow roads, intersection structures, and fine road topologies. To address this problem, this paper proposes GeoRoad-UPerNet, a Geo-1-centered weakly supervised multispectral framework for road extraction. In this framework, Geo-1 serves as the primary 16-band multispectral source, Sentinel-2 Level-2A imagery serves as auxiliary contextual support, and OpenStreetMap (OSM) road information is converted into proxy supervision rather than dense manual ground truth. GeoRoad-UPerNet contains …

Ig–Microbiota Binding Patterns In Mothers And Infants: A Scoping Review, Alicia Tan Yi Jia, Christopher S. Peacock, Danielle E. Dye, Claus T. Christophersen

Research outputs 2022 to 2026

Studies characterising the immunoglobulin (Ig)-bound microbiota apply varying methodologies, making comparisons difficult. This scoping review synthesised evidence on Ig–microbiota binding patterns in maternal and infant contexts, identified recurrent Ig-bound and -unbound bacteria across studies, and highlighted knowledge gaps for further study. Nine articles investigating Ig–microbiota binding patterns in stool or breastmilk samples in mothers or infants were included. Ig–microbiota associations were influenced by sample type, Ig-subclass, genetics, and diet. The most important antibody was IgA, with partial functional redundancy with IgM, while IgG appeared more selective for pathobionts. Ig-bound taxa in early life included important commensals and pathobionts, with high …

Influence Of Intended Slow And Fast Eccentric Back Squat Velocity On Subsequent Countermovement Jump Performance, Artemis Zarkadoula, Themistoklis Tsatalas, Anthony D. Kay, Anthony J. Blazevich, Christos Kokkotis, Spyridon Plakias, Brett Anthony Baxter, Alex J. Van Enis, Giannis Giakas, Minas A. Mina

Research outputs 2022 to 2026

Background: The back squat is a key strength and conditioning exercise used to develop lower-limb strength and power, yet little is known about how movement velocity influences its acute performance-enhancing effects, such as improvements in countermovement jump height and power. The present study examined the acute effects of slow (vslow) versus fast (vfast) eccentric-phase velocity during back squats performed withmaximal concentric velocity on subsequent countermovement jump (CMJ) performance, using a randomized, crossover design. Methods: Fourteen male subjects (age = 22.9 ± 1.9 years; height = 1.8 ± 0.1 m; mass = 76.4 ± 8.3 kg) visited the laboratory on two …

Multimodal Narratives Of Adolescents’ Music-Wellbeing Literacy Capabilities In A Music-Focused Secondary School, Jason Goopy

Research outputs 2022 to 2026

Meaningful and practical wellbeing strategies are needed to support young people living healthy lives. Wellbeing literacy is a positive psychology capability model for how people communicate about and for their wellbeing experiences, providing a framework for individuals to intentionally comprehend and create wellbeing languages to sustain and improve their own and others’ wellbeing. Contemporary views of literacy consider music a multimodal symbolic language and music is gaining recognition for its wellbeing benefits. This applied interdisciplinary study brings together theory and practices from positive psychology, education, and music to advance our understanding of the multimodality of wellbeing languages. A case study …

Nanofluid Flooding As A Sufficient Alternative To Waterflooding For Incremental Oil Recovery From Carbonate Reservoirs, Sarmad Al-Anssari, Dhifaf Sadeq, Hassanain A. Hassan, Ahmed Hamid Al-Taie, Hasan Ali Abood, Mohammed Mahdi, Zain Ul Abedin Arain

Research outputs 2022 to 2026

Oil recovery from carbonate reservoirs is one of the critical challenges in the oil industry due to the strongly oil-wet nature, natural fractures, and the heterogeneity of carbonate rocks. Subsequently, waterflooding can only displace oil from large fractures, leaving the majority of oil trapped in the rock matrix. This work suggests that nanofluid flooding, as a predesigned flooding method, is an alternative to conventional waterflooding. Various concentrations of silica nanofluid at different nanoparticle concentrations were formulated and systematically investigated for their characteristics, stability at reservoir conditions, and their influence on wettability and oil recovery. Silica nanoparticles were sustainably synthesized from …

Numerical Evaluation Of A Zero Poisson’S Ratio Structure In Μ-3d-Printed Self-Expanding Nitinol Stents, Farhana Yasmin, Ana Vafadar, Majid Tolouei-Rad

Research outputs 2022 to 2026

Stenting is a minimally invasive treatment used in managing peripheral artery disease (PAD). However, clinical challenges persist, including in-stent thrombosis and restenosis, primarily driven by axial foreshortening or elongation and suboptimal balance between radial stiffness and flexibility inherent to conventional stent designs. This study proposes an innovative arrow-shaped geometry exhibiting zero Poisson’s ratio (ZPR) behaviour for 3D-printed self-expanding Nitinol stents. The complete stent deployment process was modelled using finite element analysis (FEA), including radial crimping and subsequent expansion to enable systematic parametric investigation while accounting for µ-3D printing constraints. Response surface methodology (RSM) rigorously evaluated mechanical performance, defining peak stress, …

Peripheral Neuromuscular Fatigue Responses Of The Knee Extensors To Distinct Concurrent Training Protocols: A Preliminary Study, Tomás T. Freitas, Elena Marín-Cascales, Cristian Marín-Pagán, Linda H. Chung, Antonio Martínez-Serrano, Nicola A. Maffiuletti, Anthony J. Blazevich, Pedro E. Alcaraz

Research outputs 2022 to 2026

Background: This study aimed to investigate the extent and time course of peripheral neuromuscular fatigue of the knee extensors following different concurrent training protocols in recreationally active men. Methods: In a randomized, counterbalanced, crossover design, ten participants completed one exercise session of three concurrent exercise protocols in consecutive weeks and in similar resting conditions: traditional concurrent training (TCT), sprint interval training (SIT), and high-intensity resistance circuit training (HRC). Maximal voluntary isometric contraction (MVIC) and electrically evoked tetanic force of the knee extensors were assessed before, immediately after, and at 24 and 48 h following each exercise session. Linear mixed models …

Recruitment And Retention Of Rural-Dwelling Young Adults Into A Digital Healthy Eating Intervention: Lessons Learned From A Randomized Controlled Trial Of The Veg4me Study, Katherine M. Livingstone, Stephanie R. Partridge, Jonathan C. Rawstorn, Kathleen M. Dullaghan, Yuxin Zhang, Stephanie L. Godrich, Sarah A. Mcnaughton, Gilly A. Hendrie, Lauren C. Blekkenhorst, Ralph Maddison, John C. Mathers, Laura Alston

Research outputs 2022 to 2026

Background/objectives: The study aimed to identify the key methodological challenges and solutions related to recruitment and retention of rural-dwelling young adults into a randomized controlled trial that tests the feasibility of a digital healthy eating intervention (Veg4Me). Methods: Digital registration for a 12-week study was set up as a one-step process without researcher involvement. Participant registrations and recruitment rates were monitored daily using predetermined online preventative measures to identify fraudulent responses and to amend the digital registration process where necessary. Retention rates were monitored daily to identify any necessary amendments to the follow-up protocol. Results: During data collection, n = …

Rvit-Fusionnet: A Local Cross-Attention Feature Fusion-Based Hybrid Framework For Brain Tumor Classification, Naima Islam, Sajeeb Kumar Ray, Md Anwar Hossain, Syed Mohammed Shamsul Islam

Research outputs 2022 to 2026

Accurate brain tumor classification via MRI is essential for diagnosis and treatment. This study introduces RViT-FusionNet, a hybrid deep learning model that integrates convolutional and transformer architectures for enhanced tumor detection. The model utilizes ResNet-50 to capture textural details and a Vision Transformer for extracting global context. A Local Cross-Attention (LCA) module is proposed to align and merge these features, allowing the network to model local structures and long-range dependencies concurrently. To enhance generalization across varied imaging conditions and tumor types, a domain discriminator is included to discern spatial and domain-specific patterns, fostering the learning of domain-invariant representations. The approach …

Spatiotemporal Dynamics Of Riparian Land-Cover Change And Impervious-Cover Expansion In A Rapidly Urbanising Himalayan Capital City, Karma Jamtsho, Tashi Dorji, David Blake, Mark A. Lund, Eddie Van Etten

Research outputs 2022 to 2026

Urbanisation and impervious-cover expansion are reshaping riparian landscapes, particularly in mountain cities where steep terrain concentrates development along valley floors. This study examined spatiotemporal land-cover change within the regulated riparian corridors of Thimphu City, Bhutan, over a 25-year period from 1997 to 2022 using Landsat imagery, Random Forest classification and Google Earth Engine. Results show substantial transformation of riparian land cover, with impervious cover increasing from 26.14% to 32.63%, equivalent to an overall increase of 24.83%, while agriculture/barren/low-vegetation declined from 30.59% to 26.01%, equivalent to an overall decrease of 14.98%. A modest increase in detectable vegetation cover was also observed, …

Sporadic Appetites: Unearthing The Fungal Diets Of Two Mycophagous Mammals Across An Australian Climate Gradient, Rebecca J. Quah, Saul J. Cowen, Robert A. Davis, Harriet R. Mills, Anna J.M. Hopkins

Research outputs 2022 to 2026

Translocating threatened ecosystem engineers may offer the dual benefit of contributing to species conservation and ecosystem restoration. Boodies (burrowing bettong; Bettongia lesueur) and woylies (brush-tailed bettong; Bettongia ogilbyi) are threatened mycophagous marsupials known for their crucial role in ecosystem health through fungal dispersal and bioturbation. As part of restoration efforts across Australia, these bettong species are frequently targeted for translocations, where a better understanding of their fungal dietary requirements is essential for ensuring their resource requirements are met and in predicting their ecological contributions to recipient ecosystems. Here, we used DNA metabarcoding to study the fungal diets of boodies and …

The Impact Of A Single Session Of Sprint Interval Training (Sit) On Pain Pressure Threshold (Ppt) In Healthy Adults, Francesco Pacenza, Gary Brickley, Umberto Crainich, Francesco Bettariga, Anthony Turner, Luca Maestroni

Research outputs 2022 to 2026

Different forms of aerobic exercise lead to Exercise-Induced Hypoalgesia (EIH). The aim of this study was to investigate the acute effect of a single session of Sprint Interval Training (SIT) on EIH. A total of 44 recreationally active young adults participated in a single SIT session on a cycle ergometer, consisting of a 2 min warm-up, 3 × 20 s “all-out” cycling bouts interspersed with 2 min of active recovery, and a 3 min cool-down. Pain Pressure Threshold (PPT) measurements were taken on the quadriceps (working muscle) and thenar eminence (resting muscle) before and after the session. Additionally, average power …

Impacts Of The Early Collaborative Intervention On Mother-Preterm Infant Interaction At One Month Of Age: Secondary Analysis Of A Randomized Controlled Trial, Charlotte Sahlén Helmer, Ulrika Birberg Thornberg, Thomas Abrahamsson, Evalotte Mörelius

Research outputs 2022 to 2026

Background A sensitive, well-functioning maternal interaction is vital for healthy infant development. For moderate to late preterm infants, this is even more important as this group of infants are at increased risk of facing neurodevelopmental disorders. The Early Collaborative Intervention supports parent-preterm infant interaction and includes three sessions, two in the hospital and one after discharge. Objective To investigate the impact of the Early Collaborative Intervention, compared with standard care, on mother-preterm infant interaction at one month corrected age. Design A longitudinal randomized controlled trial, reporting secondary outcomes from the first follow-up. Setting The intervention was conducted at a pediatric …

Multiple-Nozzle Sprays: Comparison To Single-Nozzle Sprays And Role Of Directional Conditional Filtering, Farzad Hossain, Matthew J. Cleary, Yasir M. Al-Abdeli, Mehdi Khiadani

Research outputs 2022 to 2026

Spray-based droplet evaporation systems used in desalination and cooling applications depend on both nozzle arrangement and the interpretation of measured droplet behaviour. This study examines (i) how multi-nozzle configurations differ from single-nozzle characteristics and (ii) how ensemble-averaged measurements change when droplets are separated according to their motion direction (upward or downward). Atmospheric water sprays generated by full-cone spray nozzles were investigated using Particle Image Velocimetry (PIV) for droplet axial velocity measurements and Shadowgraph imaging to determine droplet size and count. Directional filtering was performed using Large Eddy Simulation (LES), validated against experiments. Single- and dual-nozzle configurations were tested with horizontal …

Factors Impacting Western Australian Midwives' Intention To Stay: A Mixed Methods Study, Christine Atkinson, Dianne Bloxsome, Zoe Bradfield, Kate Buchanan, Sarah Dawson, Frances Finch, Sadie Geraghty, Sara Bayes

Research outputs 2022 to 2026

Problem Midwifery workforce sustainability remains a critical concern for maternity services. Existing literature predominantly focuses on burnout and attrition, offering limited insight into what influences midwives’ decisions to remain within specific workplaces. Background Midwives consistently report strong professional commitment alongside growing workforce instability. National data indicate that uncertainty about current roles does not necessarily reflect disengagement from the profession. Understanding workplace-level influences on retention is therefore essential for targeted workforce strategy. Aim To examine how workplace stress and satisfaction with the practice environment are associated with Western Australian midwives’ intention to stay in their current job and in the profession. …

Assessing Shifts In Research Priority Areas From The Neurological Community Before And After The Covid-19 Pandemic, Leah Dempsey, Travis Cruickshank, Mitchell Turner, Manja Laws, Danielle Bartlett, Barby Singer, Onno Van Der Groen, Moira Sim, Mandy Stanley

Research outputs 2022 to 2026

Introduction: People living with a neurological condition face many difficulties in daily life, impacting their function and quality of life (QoL). There is currently no cure to many neurological conditions, therefore identifying interventions to improve QoL is of high importance. COVID-19 changed society in many ways and understanding the research priorities from the neurological community post pandemic is urgently needed to ensure resources are used efficiently and aligned with the needs and priorities of the community. To better understand the priority areas, it is essential for individuals with lived experience to have input into priority areas for research. Therefore, the …

Optimizing Fpga And Wafer Test Coverage With Spatial Sampling And Machine Learning: Analysis Of Local Spatial Consistency, Weiquan Wang, K. M.Shahriar Alam Adib, Foisal Ahmed, Riaz Ul Haque Mian

Research outputs 2022 to 2026

Wafer and FPGA testing remains costly in semiconductor manufacturing. This paper studies random sampling, stratified sampling, and k-means sampling under a partial-measurement setting with Gaussian Process Regression (GPR), and introduces Short Distance Elimination (SDE), a spatial screening rule that spreads selected training points over the layout. Combining value-based sampling with SDE yields two hybrid methods: S-SDE, which applies SDE within stratified subsets, and K-SDE, which applies SDE within k-means clusters. A calibration-based protocol fixes the value-group labels and SDE thresholds before target-file prediction. The SDE thresholds are selected from (Formula presented.) configurations in (Formula presented.), excluding (Formula presented.), using local …

The Crossroads Between Osteosarcopenia And Intrinsic Capacity—A Narrative Review, Nailton J. Neto, Guy Hajj-Boutros, Wayne Lok Ok Choo, Miguel G. Borda, Konstantinos Prokopidis, Hassan Rammal, Daniel Rivas, Hussein Samhat, Ivan Baltasar-Fernandez, Mahdi Imani, Cristiano Dos Santos Gomes, Oscar Rosas Carrasco, Marc Sim, Julie A. Pasco, Julia Chabot, Ana M. Ayala-Copete, Francisco J. García-García, Claire Godard-Sebillotte, Raman Agnihotram, Lana J. Williams, Anna Andrianova, Robinson Ramirez-Vélez, Emma Connolly, Harmehr Sekhon, Hidenori Arai, Liang-Kung Chen, Andréa Faust, Howard Bergman, Alexandra Papaioannou, Pierrette Gaudreau, Tiago Alexandre, Leocadio Rodriguez-Mañas, Ricardo Oliveira Guerra, Gustavo Duque

Research outputs 2022 to 2026

Intrinsic capacity (IC) is defined as the composite of physical and mental abilities an individual possesses, encompassing 5 domains: cognition, psychological health, sensory function, vitality, and locomotion. This construct is central to the World Health Organization’s framework for assessing functional ability in older adults. Growing evidence highlights the critical role of the musculoskeletal system in maintaining these domains, while conditions such as sarcopenia, osteoporosis, and their coexistence as osteosarcopenia (OS) are increasingly associated with IC decline. This narrative review compiles current evidence on the modulatory role of muscles and bones in IC and the impacts of sarcopenia, osteoporosis, and OS. …

Thermal Transformation Of Organic Matter And Impacts On Water Quality In Fire-Affected Jarrah Forest, Kuenzang Tshering, David Blake, Andrea Bravo Escobar, Konrad Miotlinski, Andrew Bath, Mary C. Boyce, Pauline Grierson, Pierre Horwitz

Research outputs 2022 to 2026

Fire in forested catchments significantly alters organic matter fluxes by generating dissolved organic matter (DOM) different from that generated under non-fire conditions. Elucidating the composition of DOM is key to understanding its persistence in the post-fire environment. This laboratory study aimed to establish a relationship between DOM quantity and quality with aspects of fire regime. Soil and litter samples were collected from areas with different burn histories (described as Time Since Last Fire – TSLF). Each sample was subjected to burn temperature treatments simulating different burn severity regimes in a muffle furnace (at 250°C – low severity, 350°C – moderate …

Drilling Fluid Enhancement Via Addition Of Sustainably Synthesized Nanoparticles, Hasan A. Abbood, Sarmad Al-Anssari

Research outputs 2022 to 2026

The addition of nanoparticles to the drilling fluids for geological projects is a promising application for enhancing the stability, rheological properties, and overall performance of the mud. This study aims to thoroughly analyze and compare the effects of silica and alumina nanoparticles on the properties and effectiveness of polymer drilling mud. Silica and alpha-alumina nanoparticles were synthesized using the sol-gel process and characterized through several techniques, including X-ray diffraction, Fourier-transform infrared spectroscopy, field-emission scanning electron microscopy, and atomic force microscopy. The effects of silica and alumina nanoparticles on various properties of drilling mud were then measured using a permeable plugging …

Exploring Opportunities To Integrate Climate Change Into Gross National Happiness For Bhutan And Its Application For Global Wellbeing-Centred Climate Resilient Development, Tashi Dorji, Angus Morrison-Saunders, David Blake

Research outputs 2022 to 2026

Climate change poses an increasing threat to human wellbeing, but despite this intricate relationship, addressing climate change rarely mainstreams wellbeing objectives. This study explores opportunities to integrate climate change into Bhutan’s development philosophy of Gross National Happiness (GNH) and examines how this experience can inform a wellbeing-centred global application through Climate Resilient Development (CRD). Using a qualitative design combining semi-structured interviews with 41 policy influencers in Bhutan, document analysis, and literature synthesis, this study identifies two complementary points of integration. The first involves identifying and then embedding climate-wellbeing stressors into the 9 domains and 33 GNH indicators used in the …

If You’Re Doing This Correctly, There Is A Cost: An Exploration Of The Work–Family Trade-Off Of Female Academics In Australia, Fleur Sharafizad

Research outputs 2022 to 2026

Purpose: This paper aims to explore how the gendered structures and expectations of neoliberal academic institutions inform and shape work–family trade-off considerations for women academics in Australia. It also sheds light on how these negotiations, and at times, the ensuing career or family gap, are experienced. In doing so, the paper deepens our understanding of the systematic barriers which do not only lead to gender inequalities in academia but also have broader individual and social implications. Design/methodology/approach: This exploratory study is based on qualitative semi-structured interviews, which were thematically analysed to identify how female academics navigate the expectations associated with …

Translating Ctdna Into Cutaneous Melanoma Care: An International Expert Survey, Glenn Geidel, Nathan Fekade, Katharina Raabe, Daniel J. Smit, Laura Adam, Isabel Heidrich, Alessandra Rünger, Julian Kött, Tim Zell, Teresa Amaral, Paolo A. Ascierto, Pippa Corrie, Reinhard Dummer, Alexander Eggermont, Jun Guo, Jessica C. Hassel, Mathilde Jalving, Douglas B. Johnson, Lidija Kandolf, John M. Kirkwood, Celeste Lebbé, Rebecca Lee, Georgina V. Long, Paul Lorigan, Josep Malvehy, Joanna Mangana, Peter Mohr, Sapna P. Patel, Helen Rizos, Caroline Robert, Dirk Schadendorf, Vernon K. Sondak, Inge Marie Svane, Alberto Wainstein, Jonathan S. Zager, Klaus Pantel, Axel Hauschild, Christoffer Gebhardt, Melanoma World Society Study Group, Adnan Khattak

Research outputs 2022 to 2026

Background: Circulating tumor DNA (ctDNA) is a promising biomarker in melanoma, with higher sensitivity for tumor burden detection than conventional diagnostics. While well established in research, clinical routine implementation remains pending. Key global questions concern optimal clinical applications and barriers to adoption.

Methods: A web-based survey of 116 members of the Melanoma World Society Study Group assessed international expert opinions on ctDNA utility across predefined clinical scenarios. The questionnaire included 18 general questions on ctDNA use and 5 clinical vignettes with de-identified patient data and retrospectively obtained ctDNA results.

Results: ctDNA was rated most valuable for detecting minimal residual disease …