Search Results (14,951)

Multipath propagation presents a major challenge to acoustic communication, causing signal distortion, delay spread, and inter-symbol interference, which degrade data integrity. This study investigates the use of Orthogonal Frequency Division Multiplexing (OFDM) as a robust modulation strategy for communication in complex acoustic environments where radio frequency (RF) propagation is severely attenuated. Using a software-defined radio (SDR) platform implemented in GNU Radio, OFDM performance was experimentally evaluated against Binary Frequency Shift Keying (BFSK) and Binary Phase Shift Keying (BPSK) under simulated and real multipath conditions in materials including air, water, and steel. The results show that OFDM achieves consistently lower bit error rates (BERs) and greater resilience to multipath interference due to its sub-carrier orthogonality and cyclic-prefix structure. The research also highlights how the frequency selectivity and coherence bandwidth of acoustic channels influence modulation performance across different media. By implementing custom transducers and real-time baseband processing, the study demonstrates how software-defined acoustics can be adapted for highly reflective and frequency-dependent environments. The observed improvements in BER and signal stability validate OFDM’s effectiveness in maintaining data integrity despite time and frequency dispersion effects. These findings demonstrate that OFDM enables reliable acoustic data transmission across heterogeneous media and is well suited to sensor-network applications in RF-hostile environments such as railway infrastructure, sealed containers, and submerged systems. Future work will include quantitative channel characterisation—specifically measuring delay spread, coherence bandwidth, and impulse response profiles—to further optimise OFDM parameters and provide a generalisable framework for adaptive modulation in dynamic acoustic channels. Full article

Background/Objectives: Magnetic nanoparticles have emerged as powerful tools for biomedical imaging, targeted drug delivery, and hyperthermia therapy. Magnetic particle imaging (MPI) is among the most promising technologies built around its properties: a radiation-free, quantitative tomographic modality that detects superparamagnetic iron oxide nanoparticles (SPIONs) directly against a biologically silent background. This review synthesizes MPI’s physical principles, nanoparticle design strategies, and preclinical applications within the broader landscape of magnetic material engineering for biomedical use. Methods: A systematic review was conducted covering MPI signal generation and image reconstruction, nanoparticle core synthesis and surface coating approaches, and preclinical applications, spanning cell tracking, oncological imaging, vascular perfusion, neuroimaging, and MPI-guided theranostics. Studies were selected to provide quantitative benchmarks and direct comparisons with competing modalities where available. Results: MPI delivers signal-to-background ratios above 1000:1, iron-mass linearity at R² ≥ 0.99, regardless of tissue depth, and acquisition rates up to 46 volumes per second. Tracer architecture—encompassing single-core particles, multicore nanoflowers, and stimuli-responsive cluster designs—is the primary determinant of sensitivity, environmental robustness, and theranostic capability. Preclinical results include detection of cell populations in the low thousands, earlier ischaemia identification than diffusion-weighted MRI, real-time drug release quantification, and spatially confined tumour hyperthermia. Three translational bottlenecks are identified: the absence of a clinically approved tracer with optimal relaxation dynamics, hardware performance losses when scaling to human-bore systems, and overestimation of passive tumour accumulation in murine models. Conclusions: MPI illustrates how progress in magnetic material design directly expands clinical imaging and theranostic possibilities. Successful translation will require indication-driven, interdisciplinary development that integrates materials science, scanner engineering, and regulatory strategy in parallel. Full article

Domestic and family violence (DFV) is a key driver of women’s homelessness and financial insecurity. In Australia, Safe at Home (SAH) programs have emerged as an innovative, wrap-around service response that increases victim-survivors’ safety by implementing a range of strategies and tools that enables them to remain in their home or a home of their choice. SAH responses represent one strategy that effectively prevents homelessness and mitigates the financial, social, and emotional disruption associated with housing relocation after leaving a violent and abusive relationship. This paper examines the implementation of SAH responses in Australia through a critical synthesis of national policy documents and published literature. The paper outlines the four nationally endorsed pillars of SAH (maximising safety, integrated responses, homelessness prevention, and economic security) and examines how these pillars shape service design and outcomes. Evidence from evaluations and outcome studies indicate that SAH can enhance women’s sense of safety, support housing stability, and reduce the financial burden of leaving a violent partner. Access and effectiveness vary depending on the design of the response and location. Challenges include limited affordable housing supply, inconsistent perpetrator accountability, and structural barriers to long-term economic security. Sustained investment in SAH programs, robust data collection mechanisms, and stronger integration of housing and economic supports are ultimately needed to ensure SAH can fulfil its potential as a core component of Australia’s DFV service system. Full article

Background/Objectives: Sarcopenia is a progressive skeletal muscle disorder linked to adverse outcomes. Computed Tomography (CT) can quantify skeletal muscle, while the Charlson Comorbidity Index (CCI) predicts mortality by categorising comorbidities. This study examined whether Computed Tomography of the Kidneys, Ureters, and Bladder (CT-KUB)-derived skeletal muscle measurements correlate with CCI scores in hospitalised patients. Methods: This retrospective study included all patients admitted with renal colic to the Urology Department, Blacktown Hospital and underwent cystoscopy between June 2022 and June 2025. Data were obtained from electronic medical records. CCI scores, incorporating age and comorbidities, generated 10-year survival estimates. CT-KUB scans were reviewed for psoas muscle perimeter, area, height, width and Hounsfield unit at the aortic bifurcation. Skeletal Muscle Index (SMI) was calculated as skeletal muscle area (SMA)/height². Associations between CCI, psoas muscle metrics and outcomes (length of stay, Intensive Care Unit (ICU) admission, Emergency Department (ED) re-presentation) were assessed using Pearson’s correlations and between-group comparisons. Results: A total of 397 patients were analysed. Median Length of Stay (LOS) was 1 day (mean = 1.92, SD = 1.88). ICU admission occurred in 2.3% of patients, and 18.6% re-presented to ED within 30 days. Both CCI survival percentage and psoas muscle metrics (including SMI) were significantly associated with LOS. Lower SMA, Hounsfield unit (HU), length and perimeter were linked to higher ICU admission risk. Neither CCI nor muscle measures predicted ED re-presentation. Conclusions: CCI and CT-derived muscle metrics were independently associated with outcomes such as LOS and ICU admission. Combining these measures may improve risk stratification, warranting further prospective evaluation. Full article

Ambient heat exposure reduces male fertility in mammals with scrotal testes. Our previous work has demonstrated that some stallions are more susceptible to ambient heat-related subfertility than others, yet the mechanism for heat-induced subfertility remains uncertain, limiting both diagnosis and preventative measures. This study sought to define how the phenotype of stallions susceptible to heat-induced subfertility differs from that of more resilient animals, by measuring the systemic (blood plasma) and localized (reproductive tract) inflammatory and oxidative stress markers of sperm concentration, sperm motility assessments, total antioxidant capacity (TAC; in blood and seminal plasma), malondialdehyde (MDA; in blood and seminal plasma), oxidized guanine species (8-OH-2dG; in blood plasma and spermatozoa DNA), sperm DNA damage (assessed via Halo, SCSA (Sperm Chromatin Structure Assay) and CMA3 (Chromomycin A3)), and c-reactive protein (CRP; in blood plasma). Post-breeding dismount semen samples (n = 357) and blood plasma samples (n = 97) were collected from 31 stallions at commercial thoroughbred studs throughout one breeding season (NSW, Australia). A subset of stallions (16%) was deemed heat-induced subfertility-susceptible (HISS) stallions. These animals showed reduced seminal plasma antioxidant capacity, increased systemic and localized lipid peroxidation, and distinct systemic inflammatory response. Seminal antioxidant capacity was found to be strongly associated with impaired sperm motility (r = 0.739 * vs. r = −0.059). The plasma c-reactive protein of heat-susceptible stallions correlated to heat exposure (r = 0.597 *) and affected sperm motilities (r = −0.527 **, r = −0.434 *). Systemic oxidative DNA damage (8-OH-2dG) also increased following heat events (r = 0.862 ***) and correlated with fertility losses (FCP: r = −0.740 **, PCP: r = −0.603 *). Non-HISS stallions displayed greater variability in systemic antioxidant status and robust response following heat exposure (r = 0.307 *) and localized antioxidant capacity was more strongly correlated to systemic antioxidant capacity than in the heat-susceptible group (r = 0.897 *** vs. r = 0.482 **). We demonstrate that impaired antioxidant responses, altered redox balance and suppressed acute-phase inflammatory signalling are key features associated with heat-induced subfertility in stallions and highlight biomarkers that could be used to identify animals with heat-susceptible fertility. Full article

Background: Patients with kidney failure requiring dialysis experience a high burden of vaccine-preventable diseases, and vaccine hypo-responsiveness is a key contributor. Uraemic toxins and gut dysbiosis are potential causes of hypo-responsiveness. Aim: This study aimed to determine whether uraemic toxin concentrations or gut dysbiosis are associated with vaccine response in haemodialysis patients. Methods: This was a single centre, observational cohort study of maintenance dialysis patients receiving a conventional 2-dose primary COVID-19 vaccination course. Demographic, clinical and vaccination data were collected from the eMR. Vaccine response (Elecsys Anti-SARS-CoV-2 immunoassay), serum uraemic toxin concentrations (indoxyl sulphate, p-cresyl sulphate, and trimethylamine N-oxide by liquid chromatography), and stool microbiome (16S rRNA gene sequencing) were measured 8 weeks after the second dose of vaccine. Results: Forty participants (43% female, mean age 66 years; 59% Caucasian) were included, 70% of whom were classified as a vaccine responder. Antibiotic exposure, prednisolone use and lymphopenia were significantly associated with hypo-responsiveness. Microbiome profiling identified differences in beta diversity between responders and non-responders, positively correlated with short-chain fatty acid producers (Parabacteriodes) and negatively with pathobionts (Escherichia/Shigella). Differential abundance analysis identified lower levels of Tyzzerella, Gemmiger, and Hungatella and higher levels of Turicibacter in vaccine responders. Total uraemic toxin burden and individual toxin concentrations did not differ between responders and hypo-responders (all p > 0.05). Stratification by low versus high/very high toxin burden groupings was not associated with response (p > 0.99). Conclusions: Differences in gut microbial composition were observed between vaccine responder groups, while uraemic toxin concentrations were not associated with vaccine responsiveness. These findings suggest gut microbiota composition may contribute to vaccine hypo-responsiveness in individuals receiving dialysis and warrant further investigation in larger mechanistic studies. Full article

Background/Objectives: Urology residency training widely varies across countries, and evidence comparing residents’ experiences at an international level is limited. This study reports the results of an international survey of urology residents from different countries worldwide, aiming to characterize training environments, educational exposure, and trainee expectations across diverse healthcare systems. Methods: A 39-item online survey was administered to urology residents during the Société Internationale d’Urologie (SIU) Regional Meeting (Florence, November 2024), assessing demographics, training exposure, educational resources, workload, satisfaction, and career perspectives. The results were compared between trainees at different postgraduate years (PGYs) to explore associations for key outcomes. Results: Overall, 208 urology residents from 21 countries completed the survey. Most residents were actively involved in research (76.4%), although confidence in independent scientific production was moderate (significantly lower among junior trainees). Surgical exposure increased with PGY, with good experience in endoscopy but limited hands-on exposure and expected autonomy in laparoscopic, robotic, and major open surgery. Despite high overall satisfaction with urology, residents described heavy workloads, inconsistent access to structured teaching and international fellowships, and a long-term shift in career expectations toward private practice. Conclusions: Urology residents worldwide report high engagement in research, strong satisfaction with their specialty choice, and interest in international mobility. Nonetheless, persistent disparities in surgical exposure, research confidence, workload, and gender representation highlight the need for competency-based curricula, structured mentorship, and improved training organization to promote equitable and high-quality urology education globally. Full article

Complex engineering optimization problems are typically characterized by high dimensionality, multimodality, and strong constraints, posing significant challenges to traditional swarm intelligence algorithms in terms of convergence speed, solution accuracy, and robustness. The Catch Fish Optimization Algorithm (CFOA), a recently proposed swarm-based metaheuristic, exhibits promising global search capability; however, it still suffers from deficiencies in search direction stability, elite solution utilization, and exploitation performance in the later stages of optimization. To address these limitations, this paper proposes an Improved Catch Fish Optimization Algorithm, named Elite-Driven Reinforced Catch Fish Optimization Algorithm (EDR-CFOA). On the basis of the original CFOA framework, EDR-CFOA integrates three complementary elite-based enhancement strategies: an elite-enhanced search strategy, an elite differential evolution strategy, and an elite random local search strategy. Through a multi-level elite-guided mechanism, these strategies collaboratively improve the reliability of search directions, strengthen solution-space recombination, and enhance fine-grained exploitation of high-quality solutions, thereby significantly improving the overall optimization performance of the algorithm. The proposed EDR-CFOA is systematically evaluated on the CEC2020 and CEC2022 benchmark test suites under 10-dimensional and 20-dimensional settings and is compared with eight classical and recently developed high-performance metaheuristic algorithms. The Friedman mean ranking results demonstrate that EDR-CFOA achieves the lowest average rank in all four test scenarios (CEC2020: 1.30 for 10D and 2.20 for 20D; CEC2022: 1.17 for 10D and 1.08 for 20D), consistently ranking first overall and significantly outperforming the competing algorithms. Furthermore, Wilcoxon rank-sum tests confirm that EDR-CFOA exhibits statistically significant superiority on the majority of benchmark functions. In addition, EDR-CFOA is applied to the economic optimal scheduling problem of a grid-connected microgrid and several typical constrained engineering design problems, where experimental results verify its feasibility, robustness, and practical engineering applicability. Comprehensive numerical experiments and real-world engineering case studies indicate that EDR-CFOA is a highly effective swarm intelligence algorithm featuring high solution accuracy, strong stability, and excellent generalization capability, making it well suited for complex engineering optimization problems. Full article

Soil erosion remains a critical ecological challenge on China’s Loess Plateau (LP), where fragile geomorphology and intensive human activities jointly amplify land degradation risks. As land-use and land-cover change (LUCC) is a primary determinant of erosion processes, clarifying the nexus between land patterns and erosion intensity is essential for formulating effective conservation strategies. This study integrates the Chinese Soil Loss Equation (CSLE) with the Patch-generating Land Use Simulation (PLUS) model to analyze the spatiotemporal dynamics of soil erosion from 2000 to 2020 and project future patterns for 2060 under five scenarios: Natural Development (ND), Ecological Protection (EP), Economic Development (ED), Cropland Protection (CP), and Planning Guidance (PG). Results indicate a fluctuating decline in LP soil erosion during 2000–2020, marked by a transition toward predominantly slight erosion (~70% of the total area), while high-intensity erosion remained concentrated in central and western cropland and grassland. Scenario projections reveal pronounced divergence in erosion outcomes. The EP scenario, characterized by sustained vegetation expansion, demonstrated the highest efficacy in erosion mitigation. Conversely, the ED scenario exhibited the most severe erosion risk due to urban expansion into ecological areas. The PG scenario effectively reconciled the trade-offs between ecological conservation and socioeconomic demands, maintaining a balanced erosion control performance. In the context of global climate change, the complexity of soil and water conservation governance is expected to intensify. This study suggests that future efforts should focus on scientifically guiding the evolution of land-use patterns through sustainable spatial planning. Furthermore, targeted engineering and biological conservation measures must bae implemented for high-risk land categories to ensure the long-term stability of the regional ecological security barrier. Full article

Internationally, there are increased pressures for primary schools to meet academic curriculum outcomes primarily driven by performance metrics and targets. Sitting alongside this context are competing concerns for the decline in children’s play opportunities to bolster their overall health and wellbeing. Adopting play-based pedagogies in primary schools can infuse more play into children’s lives whilst meeting curriculum outcomes. Despite the perceived importance of play during childhood, play-based pedagogies are still mostly positioned as legitimate pedagogical approaches in prior to school settings. Given this landscape, this research seeks to understand contemporary educational research of play-based pedagogies in primary schools by conducting a scoping review. Through presenting a narrative account of the literature, and synthesising these ideas into broader themes, the research identified that there remains international interest in play-based pedagogies in the primary years of school but despite this, questions surrounding its legitimacy remain. This review and subsequent discussion surface potential next steps including a recommendation to increase empirical research on the adoption of play-based pedagogies in schools with consideration of using a ’Mosaic approach’ to data collection, as well as research focusing on the active and intentional role of the teacher. Lastly, as a way forward, the research brings to light the potential of creating a ‘space’ for the merging of two knowledge systems from two often siloed approaches to education—early childhood and primary—to create a new pathway. Such a pathway has potential to support continuity of learning, student engagement, children’s health, and wellbeing. Full article

Legal element recognition, which identifies discrete factual elements in Chinese court judgments to support judicial analysis and case retrieval, faces a severe long-tail challenge: head-to-tail label-frequency ratios exceed 100:1, and over 60% of sentences carry no label, starving rare elements of training signal. Static reweighting methods assign fixed weights prior to training and cannot respond to the model’s evolving confidence; sample-level meta-learning couples all co-occurring label gradients to a single scalar, preventing independent tail-label amplification. We propose BML-Trans, a boundary-aware meta-learning framework that addresses both limitations. A label-wise meta-weighting mechanism maintains per-label gradient weights updated via bilevel hypergradient descent, decoupling tail-label amplification from co-occurring head labels. A boundary-aware meta-set concentrates calibration signal on high-uncertainty, tail-triggering sentences rather than on easy negatives, and a lightweight Multi-Scale Adapter sharpens the warm-up probability estimates on which boundary selection depends. Concretely, BML-Trans achieves an average Avg-F1 of 82.5% on CAIL2019 across the labor, divorce, and loan domains, outperforming the strongest baseline by 1.2 percentage points overall and by up to 5.7 percentage points on tail-label Macro-F1, at only 14% additional training cost. Ablation confirms a cascade dependency among the three components, establishing that the gains are structural rather than incidental to threshold selection or initialization. Full article

Background: Free-roaming cats in Australian cities contribute to wildlife impacts, community concerns, and high shelter intake. We used an observational pre–post evaluation study design of a targeted cat desexing program (“StrayCare Metro”) delivered with councils and community partners in four local government areas (LGAs) of Greater Sydney (2022–2024). Methods: Program records documented cat enrolments and services; council and state databases supplied annual shelter intake, euthanasia, and cat-related complaints; and transect drives in two LGAs (2021 and 2024) estimated cat encounter rates and population density. The analysis did not include control LGAs. Results: The program desexed 1225 cats; among enrolled cats not already microchipped, 72% received a microchip and 28% declined despite this being offered for free. Compared with pre-program baselines, annual council shelter intake decreased by 49–73% within LGAs (61% overall), with concurrent reductions in euthanasia. Cat-related complaints declined in three LGAs (47–64%) but increased in one. Transect drives indicated substantial declines in cat encounter rates in Blue Mountains (51%) and Campbelltown (35%) and lower density estimates in both surveyed LGAs. Conclusions: A collaborative targeted desexing approach was associated with large reductions in council pound intake, euthanasia, and, in most areas, nuisance complaints, alongside independent indications of reduced free-roaming cat density. Full article

Swimming and water safety education can reduce drowning risk, yet research among the Turkish population is limited. This study examined differences in water safety attitude and knowledge scores by self-reported participation in swimming and lifeguard education, including any differences seen by participant gender. A cross-sectional survey collected data on demographics, swimming experience, perceived ability, aquatic location use, swimming and lifeguard education participation, water safety knowledge and self-reported attitudes. Among 255 participants (51.4% female; mean age 22), 83.9% reported being able to swim. Females were significantly less likely than males to self-report swimming ability (χ² = 5.99; p = 0.018) or prior lessons with a qualified teacher (χ² = 4.10; p = 0.043). Swimming or lifeguard education did not significantly affect attitude scores overall or by gender. However, both forms of education were significantly associated with knowledge scores overall and by gender, with males showing significant differences in knowledge levels after swimming (χ² = 16.46; p < 0.001) and lifeguard education (χ² = 11.93; p = 0.003). Findings indicate that swimming and lifeguard education were significantly associated with greater water safety knowledge but not with positive attitudes. Gender disparities persist, with females reporting lower self-reported swimming ability and males showing higher water safety knowledge after education. Expanding swimming and lifeguard education in Türkiye could enhance water safety knowledge. Full article