Search Results (55,204)

Background/Objectives: Ureteric stents are commonly used in the management of urolithiasis but are associated with significant morbidity, leading to unplanned emergency department presentations and increased healthcare utilisation. This study aimed to evaluate whether reducing ureteric stent dwell time from three months to one month was associated with reduced stent-related emergency presentations. Secondary objectives were to assess post-ureteroscopy infective complications and identify predictors of emergency attendance. Methods: A retrospective cohort study was conducted across Western Sydney Local Health District, comparing patients undergoing ureteric stenting prior to ureteroscopy before (n = 189) and after (n = 244) an institutional policy change reducing time to definitive surgery from three months to one month. Patients aged ≥16 years with urolithiasis were included. Results: Following the policy change, mean waiting time for ureteroscopy decreased from 97.3 to 40.6 days. The proportion of patients presenting to the emergency department (ED) for stent-related symptoms decreased from 31.7% to 16.4% (p < 0.001), and mean presentations per patient declined from 0.60 to 0.21 (p < 0.001). Stent irritation accounted for most presentations. Using multivariable analysis, age < 50 years, immunosuppression, and positive pre-operative urine cultures were independently associated with ED attendance. Post-ureteroscopy infective complications were lower in the shortened dwell-time cohort (2.0% vs. 4.2%) but did not reach statistical significance (p = 0.26). Conclusions: Reducing routine ureteric stent dwell time from three months to one month was associated with significantly fewer stent-related emergency presentations. Shorter dwell protocols may reduce patient morbidity and healthcare utilisation and could be associated with lower rates of post-ureteroscopy infective complications. Full article

Background/Objectives: Traumatic injury in adults can result in decreased physical function, reduced health-related quality of life, and persisting mental health problems. Enhanced rehabilitation in the acute setting may support recovery. Although prior reviews have investigated enhanced rehabilitation across multiple care settings, there remains limited emphasis on interventions implemented specifically within the acute phase of care. This narrative review aimed to examine the current evidence evaluating the effect of enhanced rehabilitation delivered by physiotherapy and/or occupational therapy on physical function following traumatic injury. Methods: A systematic search of Ovid MEDLINE, Embase, and CINAHL was conducted to identify experimental and quasi-experimental studies that delivered enhanced unidisciplinary or multidisciplinary rehabilitation immediately following traumatic injury. Key findings from relevant studies were synthesised narratively. Results: Three randomised controlled trials were included. Due to heterogeneity in population presentations, interventions, outcomes, and timing of measurement, qualitative synthesis was not feasible. There was no significant difference in acute length of stay or discharge destination between intervention and control groups. The effect of enhanced rehabilitation on physical function was inconclusive, and the optimal dosage remains unclear due to inadequate reporting. Conclusions: Evidence for enhanced rehabilitation after traumatic injury is limited. Further research is needed to determine the effect of enhanced rehabilitation on physical function in this population. Pragmatic study designs with standardised reporting and patient-centred outcome measures to capture traumatic injury populations are needed to improve synthesis of findings and guide clinical practice. Full article

Keyword recognition represents a fundamental skill in programming, yet little research has examined how novices develop this ability or how language background affects keyword learning. This study investigated cognitive load and keyword recognition accuracy amongst 27 novice programming students (15 English as an additional language [EAL] and 12 English as a native language [ENL]) during an intensive six-week Python course. Students completed a keyword recognition task at Weeks 1 and 6, identifying and classifying 23 Python keywords while reporting cognitive load using the Klepsch instrument. The results revealed no significant improvement in identification accuracy (Week 1: 39.80%; Week 6: 48.16%) or classification accuracy (40% at both time points) despite intensive instruction. The reported extraneous cognitive load significantly increased from Week 1 to Week 6 (p = 0.039, d = 0.99), contradicting Cognitive Load Theory predictions that schema automation reduces extraneous load with experience. EAL students reported a significantly higher intrinsic cognitive load (p = 0.030, d = 0.91) and a marginally lower keyword identification accuracy (p = 0.058, d = −0.54) than ENL students. All students (100%) who identified keywords also missed duplicate instances, indicating universal incomplete processing. These findings challenge assumptions about schema development timelines in programming education and document measurable linguistic barriers that persist even after substantial instruction, with implications for inclusive computing pedagogy. Full article

Children are some of the most vulnerable members of society who must be protected at all costs. Zimbabwe has a long history of disjointed formal and indigenous social protection systems, which have resulted in the exclusion of many children, leading to high levels of child abuse, neglect, exploitation and violence. In policy and practice, there is a strong bias towards the ineffective statist formal system, yet the indigenous social protection system is the mainstay for the protection of most children. The study aimed to explore how asset-based community development can be used as a strategy to integrate the fragmented formal and indigenous social protection systems for sustainable child protection. An explanatory sequential mixed-methods research design was employed, collecting both quantitative and qualitative data from 76 participants. The study findings indicate that asset-based community development by positioning the indigenous social protection system at the centre of the social protection framework provides a blueprint for a community-led and integrated social protection system, which can translate into effective child protection. This system, which utilises a wider network of community and external resources, can counteract the limits of fragmented social protection and sustainably promote child protection among impoverished households in Zimbabwe and similar contexts. The recommendation is that asset-based community development should be promoted as a strategy towards integrated social protection and sustainable child protection. Full article

New approaches to improve organisational performance in firms are evolving in this data-driven age. However, there is lack of studies in examining the relationship between revenue, net profit, cash flow per share, and earnings per share. The energy sector remains under-researched regarding the multi-dimensional drivers of profitability. Existing research shows inconclusive evidence with studies predominantly examining revenue—performance relationship limiting to a single factor and not guiding potential investors regarding future earnings per share in the energy industry. This paper aims to bridge the gap in literature by proposing a data-driven approach to analyse the relationships between revenue, net profit, cash flow per share, and earnings per share. We examine these relationships by conducting an empirical analysis using secondary data derived from published annual reports of the energy firms listed on the Australian Securities Exchange (ASX). Our empirical study uses Pearson correlations and regression techniques to test the hypotheses on the relationships between revenue, net profit, cash flow per share, and earnings per share. Also, we use market capitalisation as a control variable and predictor of earnings per share in the energy industry. The data analysis results in four findings: (i) revenue positively influences earnings per share because higher revenue expands the firm’s earnings capacity within the financial performance, (ii) net profit has a strong positive effect on earnings per share, consistent with profitability theory and the direct derivation of EPS from net income, (iii) cash flow per share influences earnings per share because liquidity supports operational stability, investment decisions, and earnings sustainability (e.g., heavy capital expenditure contexts), and (iv) the combined effects of revenue, net profit, and cash flow per share provide a stronger and more holistic prediction of earnings per share than any single variable, consistent with multidimensional organisational performance theory (a more holistic valuation model than looking at single factors). In addition, the results indicate that market capitalisation (control variable) has both strong prediction of earnings per share and strong association with earnings per share. The results of this study can offer practitioners and investors in Australia and other countries for a better understanding of the relationships between revenue, net profit, cash flow per share, and earnings per share from energy companies. The data will help investors to make good investment data-driven decisions in the energy industry or other industries. It also motivates researchers to conduct similar studies in different contexts. We further provide recommendations, including a closed-loop Artificial Intelligence (AI) data-driven approach integrated into energy accounting and operational processes to enhance profitability. This approach operationalises the revenue and earnings-per-share (EPS) strategies identified in our empirical analysis, offering practical value for industry practitioners and guiding future research in this direction. Full article

This editorial article introduces the six articles in this Visiting Friends and Relatives (VFR) travel Special Issue. A call for submissions was undertaken in late 2021 to invite articles for consideration for a Special Issue dedicated to VFR travel. Despite the size of VFR travel and its relevance to countries around the world, research interest has not been as high as would normally be expected for such a substantial form of visitor movement. The COVID-19 pandemic presented a juncture for VFR travel. On one hand, VFR was the ‘biggest loser’ during COVID-19 as people most missed contact with friends and family. However, it may be the ‘biggest winner’ in a post-COVID world, as people were harshly reminded of how vital social connections are. The six featured articles in this volume bring together a broad range of perspectives on how COVID-19 impacted aspects of VFR travel. This editorial piece summarises those articles and outlines future directions and conclusions. Full article

Building retrofit optimization has gained increasing attention as a pathway to improve energy performance and support sustainability. This review examines 162 studies and synthesizes simulation-based (SBMOO) and metamodel-based (MBMOO) multi-objective optimization techniques for building retrofit across climatic conditions. The review also analyzes passive, active, and combined retrofit strategies and evaluates how climatic context influences their suitability and performance. Passive strategies typically involve envelope- or material-related upgrades, whereas active strategies focus on building systems. Energy efficiency, comfort, cost-effectiveness, and environmental impact are identified as the major performance metrics for retrofit evaluation. Sustainability metric such as life cycle assessment (LCA) has yet to be used adequately to evaluate retrofit measures, while social objectives are also less explored. SBMOO provides robust optimization but can be computationally intensive, whereas MBMOO improves computational efficiency through surrogate modeling but depends strongly on dataset quality, sampling strategy, and surrogate model selection. In contrast to earlier reviews that usually emphasize either optimization techniques or retrofit measures independently, this study integrates optimization pathway comparison with climate-based analysis of retrofit strategies. The review also finds that most studies are highly case-specific, limiting transferability across climates, building types, and retrofit contexts. Therefore, this work proposes a synthesized framework to support structured selection of baseline modeling and optimization pathways for future retrofit studies. Overall, the review identifies current methodological trends, key research gaps, and future directions for more consistent and climate responsive retrofit decision-making. Full article

Background: Corneal sensitivity is a key indicator of ocular surface health. This prospective, cross-sectional study evaluated agreement between corneal sensitivity thresholds obtained from equivalent stimulus settings on a contemporary, enhanced dual-temperature non-contact corneal aesthesiometer (NCCA) and a previously validated (standard) device. Methods: Central corneal sensitivity thresholds were measured in the right eyes of healthy participants using both devices. Participants with previous ocular surgery, laser treatment, trauma, contact lens wear, diabetes, or peripheral neuropathy were excluded. Sensitivity thresholds were determined using a forced-response, double-staircase protocol. Inter-device agreement was assessed using Bland–Altman analysis, and consistency was assessed using intraclass correlation coefficients. Results: Median corneal sensitivity thresholds in 51 healthy participants (32 female, 19 male; mean age: 33 ± 14 years) did not differ between enhanced (0.23 [0.18 to 0.38]) and standard (0.25 [0.15 to 0.35]) NCCA instruments (p = 0.73). Bland–Altman analysis demonstrated moderate inter-device agreement, with a mean difference of −0.01 mbar (95% limits of agreement: −0.41 to 0.39 mbar). Linear regression analysis identified greater measurement discrepancies at higher thresholds (p < 0.05), indicating greater variability in individuals with reduced corneal sensitivity. Conclusions: The enhanced NCCA yields reliable corneal sensitivity measures for a room-temperature stimulus and acceptable agreement with the existing (standard) model. Full article

Diet affordability is a critical determinant of food security, health and wellbeing. However, the cost and affordability of diets have not been routinely measured in Queensland (Australia) in over a decade. This study assessed the cost and affordability of healthy (based on national healthy eating guidelines) and habitual (less healthy, based on national reported intake) diets across six Queensland regions. Data were collected in 35 communities, over two years (2023 and 2024), using the evidence-based Healthy Diets Australian Standardised Affordability and Pricing protocol. Data were analyzed relative to a six-person intergenerational Aboriginal and Torres Strait Islander reference household. Results indicate that, across Queensland, healthy diet costs are above the threshold for food stress in Aboriginal and Torres Strait Islander households. On average, healthy diets were 30% cheaper than the habitual diet (which include alcohol and takeaway foods) but cost at least 26% of household income (above the 25% threshold for food stress). In 2023, healthy diets were on average 31% more expensive in remote communities compared to urban and regional centers. In 2024, the cost of a healthy diet in remote communities decreased significantly by 24%, narrowing diet cost differences between remote and non-remote regions. This shift could be associated with the implementation of a freight subsidy in remote Queensland, or other influences on remote food pricing. Findings highlight diet-related cost-of-living challenges for Aboriginal and Torres Strait Islander families, underscore the need for ongoing monitoring and provide insight for policy interventions (such as targeted subsidies) to improve diet affordability and reduce nutrition-related health inequity. Full article

Background/Objectives: The growing prevalence of obesity necessitates innovative gut-targeted material strategies to modulate diet-associated metabolic dysfunction. This study investigates a spray-dried konjac glucomannan–montmorillonite (KGM-MMT) hybrid designed to integrate fermentable polysaccharide properties with luminal lipid-adsorptive clay functions within a single micro-engineered formulation. Methods: In HFD-fed mice treated for 42 days with 2% w/w KGM-MMT, cumulative body weight gain was attenuated by 7.6%, with an AUC of 5094 ± 52.95, compared to 5513 ± 81.35 in HFD controls (p < 0.0001). Results: Serum IL-6 concentrations were reduced by 97% (p = 0.0002), while blood glucose decreased by 46% (p < 0.0001); these effects were greater than those observed with MMT (24%, p = 0.0271) and KGM (16%, ns). Gut microbiota profiling demonstrated a significant 6.2-log₂-fold increase in Lactobacillaceae (p = 0.023) and a 2.4-log₂-fold increase in Enterococcaceae (p = 0.015) following KGM-MMT treatment. Functional shifts inferred from 16S rRNA gene-based prediction indicated a 1.9-fold increase in short-chain fatty acid-related pathways and a 5.4-fold increase in bile acid deconjugation pathways. Conclusions: Although the KGM-MMT hybrid did not consistently outperform its individual components across all endpoints, it consolidated complementary KGM- and MMT-associated effects within a single dosage form. These findings support spray-dried KGM-MMT as a gut-targeted biomaterial strategy that integrates multiple luminal and microbiota-associated functions within a single formulation. Future studies should define dose–response relationships, validate microbiota-derived functional predictions using higher-resolution approaches, and assess durability and safety under longer-term exposure. Full article

Quantifying moisture transport through building envelope materials is vital for durability, energy efficiency, and healthy indoor environments. Water vapour diffusion resistivity (µ-value) is a key parameter for hygrothermal modelling, moisture control, and mould risk assessment. Globally, data for solid wood species are scarce, and in Australia—despite the rising use of plantation-grown timber—critical hygrothermal properties remain undocumented. To close this gap, this study experimentally evaluated Eucalyptus nitens, a plantation-grown hardwood widely used in Australian construction. Solid-wood specimens prepared from industry-sourced boards were tested at 23 °C and 50% RH using both the wet-cup and dry-cup methods of the gravimetric technique. For wet-cup tests, µ-values ranged from 24 to 33; for dry-cup tests, µ-values ranged from 179 to 273, showing clear variability linked to differences in relative humidity. Experimental issues included surface cupping, sealing integrity, and extended equilibration time during dry-cup testing. These findings provide the first empirical µ-value dataset for E. Nitens under moderate-humidity conditions, delivering essential input parameters for hygrothermal models and supporting moisture-safe, energy-efficient design strategies for the broader construction sector. Full article

Agriculture in the Pacific is driven primarily by small-scale private farmers, many of whom do not have access to soil testing services or advice, nor the means to interpret analytical results into soil management and agronomic recommendations. Soil degradation through the process of acidification poses a significant risk to food and income security as it directly threatens crop productivity. The nutritional quality of food crops may also be affected through sub-optimal nutrient uptake by plants and nutrient imbalances. The dataset reported here provides a useful platform for the development of a decision-support tool (DST) that will assist Fiji farmers in understanding and managing soil pH and soil acidity. The DST will enable making informed decisions about liming to help correct soil pH. To support this development, historical soil pH data available from the Pacific Soils Portal were combined with updated analyses of agricultural soils from 17 locations in Viti Levu Island (Fiji) collected during a field campaign undertaken in August 2025. The soils were sampled at two depth intervals (0–15 and 15–30 cm) and analyzed for pH using a variety of methods. These methods included direct field measurements using a portable pH-meter as well as traditional laboratory determinations. Of the soils sampled, it was found that most soils exhibited pH levels below 7, which were observed for both depth intervals. Across all samples taken in 2025, it was found that 54.3% of them had soil pH < 5, 38.6% had soil pH between 5 and 6, and 7.1% had pH > 6 (based on soil pH_1:5 soil-to-water method). Depending upon specific land uses, climate and cropping intensity, it was recommended that routine liming be built into soil fertility management programs to help farmers overcome soil acidity-related constraints to production. Liming frequency, timing of application and application rate will need to be determined for specific soil and cropping situations; however, it was suggested that soil pH was not changed by more than 1 unit each time lime was applied. Such an approach should reduce the risk of soil organic matter loss through accelerated mineralization, which would be challenging to restore in that environment if soils remained under continuous cropping. The analytical information contained in this article expanded and updated the datasets available in the Pacific Soils Portal. Furthermore, this work provided an opportunity to build analytical expertise in aspects of soil chemistry at local organizations to support academic and extension activities as well as the ongoing development of the Pacific Soils Portal. Full article

To explicitly illustrate the relationship between heliostat field optimization and power generation, a coupled model was established in Simulink. By optimizing the geometric layout of the heliostat field, the solar heat collection efficiency can be significantly improved, thereby increasing the thermal input to the system. The optimized heliostat field design can convert solar energy into thermal energy more efficiently and transfer it to the steam generator through the molten salt loop, thereby driving power generation in the Rankine cycle. In this process, the Rankine cycle is responsible for converting the thermal energy supplied by the molten salt loop into mechanical work and ultimately into electrical power output. At the same time, real meteorological data from a commercial heliostat field were introduced, and annual power generation simulations demonstrated that the integrated modeling of the heliostat field, thermal storage, and power block based on actual meteorological boundary conditions and system parameters can effectively reflect the power generation performance of a commercial tower solar thermal power plant. Meanwhile, research on heliostat field optimization should further evolve from identifying general patterns toward parameter design and overall system performance improvement. For molten-salt tower solar thermal power plants, key design variables such as receiver tower height, receiver dimensions, heliostat dimensions, and heliostat field spacing parameters affect not only the annual average optical efficiency of the heliostat field and the thermal power output of the receiver, but also the annual power generation of the entire plant. By integrating SOLARPILOT 1.5.2 and SAM 2025.4.16, the design variables were systematically analyzed to investigate their effects on the annual average optical efficiency of the heliostat field, the number of heliostats, the receiver output power, and the annual power generation, and the reasonable value ranges of the heliostat field parameters were determined accordingly. The established Rankine cycle power block model was then coupled with the parameter optimization results to carry out a secondary optimization of the initial heliostat field. Through the above study, the aim is to realize a shift from single-objective geometric optimization of the heliostat field to comprehensive optimization oriented toward annual plant power generation performance and scenario adaptability, thereby providing a basis for scheme design and parameter selection of molten-salt tower solar thermal power plants. For external validation, the annual generation predicted for the Delingha 50 MW commercial plant was 142.15 GWh, corresponding to a relative deviation of 2.64% from the published design value of 146 GWh. This indicates that the coupled framework can reasonably capture the integrated response of the heliostat field, thermal storage system, and power block at the plant level. The model is therefore suitable for generation-oriented parameter screening and preliminary design of tower molten-salt CSP plants, while detailed component-level transient design still requires higher-fidelity engineering models. Full article