Search Results (11,995)

Seed-associated microbiomes represent an underexplored frontier in synthetic community (SynCom) design, particularly in forage legumes such as lucerne (Medicago sativa L.), where early microbial assembly can shape plant development. Crop wild relatives (CWRs) harbour more diverse seed microbiomes and may contain microbes with greater functional potential than domesticated lucerne. To test this, SynComs were constructed from seed-borne bacteria isolated from M. laciniata (drought-resilient) and M. littoralis (salt-tolerant). Two three-strain SynComs were assembled from taxa consistently shared across lucerne and its CWRs, and a third six-strain ‘Mix’ SynCom combined both sets. The aim of this study was to assess whether these SynComs exert phenotypic effects on lucerne growth when used as seed inocula alongside the native microbiome during early development and later vegetative stages under well-watered and drought conditions. Inoculation enhanced germination and early growth, with the Mix SynCom producing the strongest gains. Microbiome profiling at 24 days revealed treatment-specific restructuring, with enrichment of beneficial taxa and microbial coalescence. While early-stage benefits diminished at later stages, and drought ultimately reduced biomass across all treatments, the findings demonstrate that CWR-derived SynComs can enhance lucerne establishment and early growth while restructuring host microbiomes, providing a framework for seed-applied microbial solutions in sustainable agriculture. Full article

Railway service interruptions and electrical hazards often arise due to bird nests concealed within the intricate, highly symmetric overhead catenary networks of high-speed lines. These nests are difficult to pinpoint automatically, not only because they are diminutive and often merge visually with the surroundings but also due to occlusions and the persistent lack of substantial labeled datasets. To address this bottleneck, this work presents the High-Speed Railway Catenary Nest Dataset (HRC-Nest), merging 800 authentic images and 1000 synthetic samples to capture a spectrum of scenarios. Building on the symmetry of catenary structures—where nests appear as localized asymmetries—the Symmetry-Aware Railway Nest Detection Framework (RNDF) is proposed, an enhanced YOLOv12 system for accurate and robust nest detection in symmetric high-speed railway catenary environments. With the A2C2f_HRAMi design, the RNDF learns from multi-level features by unifying residual and hierarchical attention strategies. The SCSA component boosts the recognition in visually cluttered or obstructed settings further by jointly processing spatial and channel-wise signals. To sharpen the detection accuracy, particularly for subtle, hidden nests, the Focaler-GIoU loss guides bounding box optimization. Comparative studies show that the RNDF consistently outperforms recent detectors, surpassing the YOLOv12 baseline by 5.95% mAP@0.5 and 26.16% mAP@0.5:0.95, underscoring its suitability for symmetry-aware, real-world catenary anomaly monitoring. Full article

The geriatric syndrome known as frailty is characterized by diminished physiological reserves and heightened susceptibility to unfavorable health consequences. As the world’s population ages, it is crucial to detect frailty early and accurately in order to reduce hazards, including falls, hospitalization, and death. In particular, functional tests are frequently used to evaluate physical frailty. However, current evaluation techniques are limited in their scalability and are prone to inconsistency due to their heavy reliance on subjective interpretation and manual observation. In this paper, we provide a completely automated, impartial, and comprehensive frailty assessment system that employs computer vision techniques for assessing physical frailty tests. Machine learning models have been specifically designed to analyze each clinical test. In order to extract significant features, our system analyzes the depth and joint coordinate data for important physical performance tests such as the Walking Speed Test, Timed Up and Go (TUG) Test, Functional Reach Test, Seated Forward Bend Test, Standing on One Leg Test, and Grip Strength Test. The proposed system offers a comprehensive system with consistent measurements, intelligent decision-making, and real-time feedback, in contrast to current systems, which lack real-time analysis and standardization. Strong model accuracy and conformity to clinical benchmarks are demonstrated by the experimental outcomes. The proposed system can be considered a scalable and useful tool for frailty screening in clinical and distant care settings by eliminating observer dependency and improving accessibility. Full article

Despite extensive research, indoor localization techniques remain an open problem, with Bluetooth Low Energy (BLE) continuing to be a dominant technology even in the presence of ultrawideband and Bluetooth 5.1. This study proposes a novel approach for indoor mobile device localization using BLE. Unlike traditional methods relying on the Received Signal Strength Indicator (RSSI), this technique employs spatial signal coverage analysis from multi-power Bluetooth emulators, with data collected by an array of receivers. These coverage patterns form a probability grid, which is processed to accurately determine the mobile device’s location. The method accounts for the intrinsic properties of antennas and the operational ranges of multiple beacon emulators, thereby enhancing localization precision. By utilizing receiver range data rather than RSSI, localization outcomes demonstrate greater consistency. Static measurements show an average error of 1.83 m, a median error of 1.73 m, and a mode error of 2.35 m. In dynamic settings, a moving robot exhibited a measurement error of 3.6 m for 70% of samples and 4.6 m for 94% of samples. This solution is currently being implemented to track attendees at trade fairs, providing metrics to inform stand rental pricing and insights for optimizing stand distribution to encourage visitor exploration. Full article

Background: Coverage uniformity is pivotal in whole genome sequencing (WGS), as uneven read distributions can obscure clinically relevant variants and compromise downstream analyses. While enzyme-based fragmentation methods for WGS library preparation are widely used, they can introduce sequence-specific biases that disproportionately affect high-GC or low-GC regions. Here, we compare four PCR-free WGS library preparation workflows—one employing mechanical fragmentation and three based on enzymatic fragmentation—to assess their impact on coverage uniformity and variant detection. Results: Libraries were generated with Coriell NA12878 and DNA isolated from DNA blood, saliva, and formalin-fixed paraffin-embedded (FFPE) samples. Sequencing was performed on an Illumina NovaSeq 6000, followed by alignment to the human reference genome (GRCh38/hg38) and local realignment. We assessed coverage at both chromosomal and gene levels, including 504 clinically relevant genes detected in the TruSight™ Oncology 500 (TSO500) panel. Additionally, we examined the relationship between GC content and normalized coverage, as well as variant detection across high- and low-GC regions. Conclusions: Our findings show that mechanical fragmentation yields a more uniform coverage profile across different sample types and across the GC spectrum. Enzymatic workflows, on the other hand, demonstrated more pronounced coverage imbalances, particularly in high-GC regions, potentially affecting the sensitivity of variant detection. This effect was evident in analyses focusing on the TSO500 gene set, where uniform coverage is critical for accurate identification of disease-associated variants and for minimizing false negatives. Downsampling experiments further revealed that mechanical fragmentation maintained lower Single Nucleotide Polymorphism (SNPs) false-negative and false-positive rates at reduced sequencing depths, thereby highlighting the advantages of consistent coverage for resource-efficient WGS. This study introduces a novel framework for evaluating WGS coverage uniformity, providing guidance for optimizing library preparation protocols in clinical and translational research. By quantifying how fragmentation strategies influence coverage depth and variant calling accuracy, laboratories can refine their sequencing workflows to ensure more reliable detection of clinically actionable variants—especially in high-GC regions often implicated in hereditary disease and oncology. Full article

Path tracking is a fundamental challenge in the development of automated driving systems, requiring precise control of vehicle motion while ensuring smooth and stable actuation signals. Advancements in this field often lead to increasingly complex control solutions that demand significant computational effort and are difficult to parameterize. A novel variable structure path-tracking control approach that is based on the geometrically optimal solution of a Dubins car offers a promising solution to this challenge. The controller generates an n-smooth and differentially bounded steering angle, and with n + 1 parameters, it can be tuned towards performance, robustness, or low magnitude of the steering angle derivatives. In prior work, this controller demonstrated its performance, robustness, and tunablity in various simulations. In this contribution, we address the challenges of implementing this controller in a real vehicle, including system dead time, low sampling rates, and discontinuous paths. Key adaptations are proposed to ensure robust performance under these conditions. The controller is integrated into a comprehensive automated driving system, incorporating planning and velocity control, and evaluated during an overtaking maneuver (double-lane change) in a real-world setting. Experimental results show that the implemented controller successfully handles system dead time and path discontinuities, achieving consistent tracking errors of less than $0.3$ m. Full article

Despite growing global interest in customer experience management, limited research has systematically integrated both quantitative and qualitative approaches to identify service performance gaps and formulate strategic responses in airport settings. This study addresses this gap by examining how Bangkok Suvarnabhumi Airport can enhance its passenger experience through empirical analysis and international benchmarking. The research investigates the alignment between international passengers’ expectations and their actual experiences across seven key airport touchpoints: check-in, security, immigration, boarding, accessibility, facilities, and retail areas. A structured survey of 474 outbound international passengers was conducted between June and July 2024 using purposive sampling. Quantitative data were analyzed using Importance–Performance Analysis (IPA) to evaluate six experience components: affective, cognitive, sensory, conative, physical, and social identity. The IPA results revealed notable service gaps, particularly in conative engagement, physical comfort, and social identity, which were subsequently prioritized for strategic improvement. To validate and enrich strategy formulation, qualitative benchmarking was conducted through semi-structured interviews with ten executives at Hong Kong International Airport, a global leader in passenger experience management. The resulting strategic framework, termed the SCOPE strategy, integrates passenger insights with expert perspectives to guide the design of seamless, personalized, and empathy-driven airport experiences. Theoretically, this study contributes a validated six-component passenger experience model and demonstrates the utility of IPA in service design for complex transport hubs. Practically, it offers airport authorities a replicable, data-informed roadmap for enhancing emotional engagement, service consistency, and cross-stakeholder collaboration in similarly scaled international airports. Full article

Electrocardiogram reports are an important component of cardiovascular diagnostics, routinely generated in hospitals and clinical settings to monitor cardiac activity and guide medical decision-making. ECG reports often consist of structured waveform data accompanied by free-text interpretations written by clinicians. Although the waveform data can be analyzed using signal processing techniques, the unstructured text component contains rich, contextual insights into diagnoses, conditions, and patient-specific observations that are not easily captured by conventional methods. Extracting meaningful patterns from clinical narratives poses significant challenges. In this work, we present an unsupervised framework for exploring and analyzing ECG diagnostic reports using transformer-based language modeling and clustering techniques. We use the domain-specific language model BioBERT to encode text-based ECG reports into dense vector representations that capture the semantics of medical language. These embeddings are subsequently standardized and subjected to a series of clustering algorithms, including KMeans, hierarchical clustering, DBSCAN, and K-Medoids, to uncover latent groupings within the data. Full article

The increasing deployment of photovoltaic-storage systems in distribution-level microgrids introduces a critical control conflict: traditional maximum power point tracking algorithms aim to maximize energy harvest, while grid-forming inverter control demands real-time power flexibility to deliver frequency and inertia support. This paper presents a novel two-layer co-optimization framework that resolves this tension by integrating adaptive traditional maximum power point tracking modulation and virtual synchronous control into a unified, grid-aware inverter strategy. The proposed approach consists of a distributionally robust predictive scheduling layer, formulated using Wasserstein ambiguity sets, and a real-time control layer that dynamically reallocates photovoltaic output and synthetic inertia response based on local frequency conditions. Unlike existing methods that treat traditional maximum power point tracking and grid-forming control in isolation, our architecture redefines traditional maximum power point tracking as a tunable component of system-level stability control, enabling intentional photovoltaic curtailment to create headroom for disturbance mitigation. The mathematical model includes multi-timescale inverter dynamics, frequency-coupled battery dispatch, state-of-charge-constrained response planning, and robust power flow feasibility. The framework is validated on a modified IEEE 33-bus low-voltage feeder with high photovoltaic penetration and battery energy storage system-equipped inverters operating under realistic solar and load variability. Results demonstrate that the proposed method reduces the frequency of lowest frequency point violations by over 30%, maintains battery state-of-charge within safe margins across all nodes, and achieves higher energy utilization than fixed-frequency-power adjustment or decoupled Model Predictive Control schemes. Additional analysis quantifies the trade-off between photovoltaic curtailment and rate of change of frequency resilience, revealing that modest dynamic curtailment yields disproportionately large stability benefits. This study provides a scalable and implementable paradigm for inverter-dominated grids, where resilience, efficiency, and uncertainty-aware decision making must be co-optimized in real time. Full article

Turfgrass provides significant functional, environmental, recreational and aesthetic benefits; however, its high management inputs raise sustainability concerns due to intensive irrigation, fertilization and mowing. The aim of this study is to evaluate whether adopting a new mowing technology can support or enhance current low-input strategies in turfgrass management, such as reducing synthetic fertilization and deficit irrigation. This study was conducted from September 2023 to October 2024 at the Centre for Research on Turfgrass for Environment and Sports (CeRTES) in Pisa, Italy. Two turf compositions, pure tall fescue and tall fescue–microclover mixture, were managed using an autonomous mower operating daily at three mowing heights, 20, 40 and 60 mm. Turf quality, color, the NDVI, weed cover, leaf morphology, and clover presence were assessed throughout the growing season, including a drought and recovery period. The experimental design consisted of a two-factor split-plot randomized complete block design with four replications, and the statistical approach used was two-way and one-way ANOVAs with Fisher’s LSD at p = 0.05. The results of the study indicated that, under conditions where an autonomous mower was set to operate on a daily basis, the selected mowing height had minimal influence on drought response or recovery when water availability was a limiting factor. Furthermore, when subjected to the lowest mowing heights, the legume species included in the turfgrass mix demonstrated strong resilience, maintaining its presence and performance. In addition, when mowing with a high mowing frequency and at low mowing heights, the overall quality of the turfgrass appeared enhanced. These results serve as an important starting point for considering autonomous mowing technology as an innovative strategy in advancing toward turf management systems that prioritize sustainability and efficient use of resources. Full article

The high environmental impact caused by the accumulation of single-use plastic calls for measures to curb this problem, from a ban on single-use plastic tableware to the production of a wide range of biodegradable and reusable products. The aim of this study was to investigate how tableware made of different materials affects consumers’ sensory perception and emotional and hedonic responses when eating the same meal. In this study, four types of meals of animal or plant origin were selected for the experiments, which were served warm or cold. Accordingly, four groups of university students were instructed to taste the corresponding meal while using three sets of tableware made of different materials: polypropylene, wood/cardboard, and a stainless steel/ceramic/glass control set (regular set). Overall, the results suggest that the use of regular tableware elicited a positive emotional profile, while the use of disposable, wooden, and plastic tableware elicited negative emotional responses, which is consistent with the acceptability of the meal samples—regular tableware received higher ratings, while both types of disposable tableware received lower ratings. Finally, the material of the tableware only led to changes in odor and flavor perception when warm-served meals were sampled—higher intensities were reported when students used the regular tableware sets. Wooden cutlery imparted an atypical woody flavor to the meals, regardless of the type of meal. Full article

Indoor air pollution from gas stove combustion remains a public health concern, given links to adverse cardiorespiratory health effects, yet few studies have characterized or compared the air quality impacts of different gas-based cooking fuels. We investigated kitchen-level concentrations of nitrogen dioxide (NO₂) and fine particulate matter (PM_2.5) concentrations in four homes in Central Pennsylvania that used natural gas and/or biogas fueled stoves. We conducted time-resolved kitchen monitoring and assessed pollutant concentrations during cooking and non-cooking periods. We applied linear mixed-effect regression models with kitchen-level random effects and time-varying covariates to estimate the influence of fuel type on indoor air quality. During cooking, mean kitchen NO₂ concentrations during cooking were more than 160% higher in homes using natural gas compared with biogas (95% confidence interval [CI]: 109.4%, 211.1%), although both levels remained below the WHO guideline. PM_2.5 concentrations showed limited sensitivity to fuel type, with modest differences observed. Adjusted mixed-effect regression models revealed attenuated but consistent associations, with natural gas use increasing NO₂ exposure by 2.8 ppb, or 60.3% (95% CI: 1.7, 4.6 ppb). These findings suggest further research into understanding the exposure and health benefits of alternative fuels in residential kitchen settings is merited. Full article

The polar environment is one of the most extreme environments of our world. However, even in the cold deserts of Antarctica, life thrives, often in the form of biocrusts (biological soil crusts)—complex communities consisting of hundreds of organisms. The reaction to abiotic stress in members of these communities is often inferred from laboratory experiments on isolated species and single factors, without taking into consideration any mitigation effects by the communities or complex habitats. In this study, we aimed to infer the stress situation of the filamentous green alga Klebsormidium in Antarctic biocrusts in situ using metatranscriptomic data. Klebsormidium is ubiquitous in biocrusts and well studied with respect to abiotic factors, allowing the comparison of lab experiments with the in situ situation. In this study, we identified Klebsormidium flaccidum to be present in biocrusts from Livingston Island (Antarctica). Metatranscriptomic data for the biocrust were used to investigate the presence of cold and desiccation stress in situ. To this end, we identified consistently expressed and stress-regulated genes in published stress transcriptomes of Klebsormidium that could serve as markers for environmental stress levels. These “marker genes” were used to construct marker gene indices to assess stress states in biocrusts by comparing transcript expression ratios under different conditions—a novel framework for the assessment of microbial community responses to environmental stressors. However, many potential marker genes behaved quite differently in the laboratory and in the natural environment. In the end, rather than relying on indices based on individual marker genes, comparing the expression levels of whole stressor-regulated gene sets proved to be a more reliable approach to examining stress in situ. This study highlights the potential of marker genes for broader ecological and environmental monitoring using metatranscriptomic data. Full article

We present the chemical composition and the U-Pb chemical age of the recently discovered uranium mineralisation occurrence in the crystalline Shkhara Massif in the Greater Caucasus. The mineralisation consists of hydrothermal uraninites from veins that intersect into the Late Variscan biotite–plagioclase-rich granite and migmatites. The chemical composition and the Th–U total Pb chemical age of the uraninites were determined. Results show thorium-rich, (∑LREE/∑HREE)_N unfractionated uraninites that had been formed under higher temperatures above 450 ± 50 °C. Fifty-eight measurements on 14 grains revealed homogeneous and unaltered uraninites. Th–U–total Pb ages of the uraninite were calculated from 55 chemical analyses, among which 37 plot between 275 and 305 Ma. The weighted median age of the 55 data points corresponds to 291 ± 14 Ma: the boundary between the Carboniferous and Permian periods. These dates suggest that uraninite mineralisation is related to the late orogenic extensional process of the Great Caucasus structure. During this process, hydrothermal fluids permeated the biotite-+ and plagioclase-rich magmatic rocks of the Main Range zone and formed U- and Th-rich veins and uraninite mineralisation. This study shows that the Shkhara uranium occurrence correlates with most of the late Variscan uranium deposits in Central and Western Europe in terms of geodynamic setting, composition, age and type of mineralisation. Full article

Background: There is a dearth of evidence on the roles and views of stakeholders regarding the sexually transmitted infections (STIs) service provision among key and priority populations (KPPs) within primary healthcare (PHC) settings. Aim: This study assessed the roles and views of stakeholders regarding the STI services scope, content, accessibility, quality, affordability, and availability, as well as associated gaps and successes among KPP within PHC facilities in the Capricorn District of Limpopo Province in South Africa. Methods: An exploratory research design was used. In-depth face-to-face interviews with 18 STI stakeholders were conducted. The STI stakeholders were purposively selected from five PHC facilities. An inductive analytical approach was employed to develop themes and sub-themes. Tesch’s step analysis informed the development of the thematic analysis process. Results: The presence of peer counsellors, home-based caregivers, and the operation of STI services day and night in two selected facilities enhanced access and availability of STI services. Consistent in-service training for service providers was implemented to improve service quality and maintain professional competency. Barriers that prevented adequate STI service provision in this study included staff shortages, inadequate filing systems, lack of advanced-diagnostic equipment, and patients’ noncompliance with treatment regimens. The successes of the STI service provision were effective STI treatment and services integration within the facilities. Conclusions: The findings of this study have unveiled several methods to increase access and availability to STI services among KPPs in the selected PHC facilities. We recommend gathering responses and experiences from STI service users regarding the current STI service provision to foster innovative and targeted approaches within PHC facilities in Limpopo Province. Full article