Search Results (1,060)

Virtual reality driving simulators have been increasingly used for training purposes, but they are still lacking effective driver assistance features, and poor use of user interface (UI) and guidance systems leads to users’ performance being affected. In this paper, we investigate image–arrow aids in a virtual reality driving simulator (VRDS) that enables trainees (new drivers) to interpret instructions according to the correct course of action while performing their driving task. Image–arrow aids consist of arrows, texts, and images that are separately rendered during driving in the VRDS. A total of 45 participants were divided into three groups: G1 (image–arrow aids), G2 (audio and textual aids), and G3 (arrows and textual aids). The results showed that G1 (image–arrow guidance) achieved the best performance, with a mean error rate of 8.1 (SD = 1.23) and a mean completion time of 3.26 min (SD = 0.56). In comparison, G2 (audio and textual aids) had a mean error rate of 10.8 (SD = 1.31) and completion time of 4.49 min (SD = 0.67), while G3 (arrows and textual aids) had the highest error rate (18.4, SD = 1.43) and longest completion time (6.51 min, SD = 0.68). An evaluation revealed that the performance of G1 is significantly better than that of G2 and G3 in terms of performance measures (errors + time) and subjective analysis such as usability, easiness, understanding, and assistance. Full article

In this study, we provide, to our knowledge, one of the first multidimensional, data-driven evaluations of green education performance in Turkish higher education, combining the THE Education Score, THE Impact Score, and the UI GreenMetric Education & Research Score (GM-ED) with institutional characteristics, and situating the analysis within SDG 4 (Quality Education). While universities worldwide increasingly integrate sustainability into their missions, systematic evidence from middle-income systems remains scarce. To address this gap, we compile a dataset of 50 Turkish universities combining three global indicators—the Times Higher Education (THE) Education Score, THE Impact Score, and the UI GreenMetric Education & Research Score (GM-ED)—with institutional characteristics such as ownership and student enrollment. We employ descriptive statistics; correlation analysis; robust regression models; composite indices under equal, PCA, and entropy-based weighting; and exploratory k-means clustering. Results show that integration of sustainability into curricula and research is the most consistent predictor of SDG-oriented performance, while institutional size and ownership exert limited influence. In addition, we propose composite indices (GECIs). GECIs confirm stable top performers across methods, but mid-ranked universities are volatile, indicating that governance and strategic orientation matter more than structural capacity. The study contributes to international debates by framing green education as both a measurable indicator and a transformative institutional practice. For Türkiye, our findings highlight the need to move beyond symbolic initiatives toward systemic reforms that link accreditation, funding, and governance with green education outcomes. More broadly, we demonstrate how universities in middle-income contexts can institutionalize sustainability and provide a replicable framework for assessing progress toward SDG 4. Full article

This paper presents TwinP2G, a software application for optimal planning of investments in power-to-gas (PtG) systems. TwinP2G provides simulation and optimization services for the techno-economic analysis of user-customized energy networks. The core of TwinP2G is based on power flow simulation; however it supports energy sector coupling, including electricity, green hydrogen, natural gas, and synthetic methane. The framework provides a user-friendly user interface (UI) suitable for various user roles, including data scientists and energy experts, using visualizations and metrics on the assessed investments. An identity and access management mechanism also serves the security and authorization needs of the framework. Finally, TwinP2G revolutionizes the concept of data availability and data sharing by granting its users access to distributed energy datasets available in the EnerShare Data Space. These data are available to TwinP2G users for conducting their experiments and extracting useful insights on optimal PtG investments for the energy grid. Full article

Unexplained infertility (UI) remains a diagnostic challenge affecting a significant proportion of women of reproductive age. Vascular endothelial growth factor (VEGF), a key mediator of angiogenesis and inflammation, has been implicated in reproductive and immune processes. This prospective observational study evaluated serum VEGF levels and allergen sensitization (via ALEX² macroarray) in 70 women—51 with UI and 19 fertile controls—to assess VEGF’s potential as a biomarker in UI. Median VEGF concentrations were higher in women with UI compared to fertile controls (128.6 pg/mL vs. 82.5 pg/mL), though not statistically significantly. However, sensitized women showed significantly elevated VEGF levels compared to non-sensitized peers (115.9 pg/mL vs. 85.7 pg/mL, p = 0.028), and a stepwise increase in VEGF was observed with rising allergy severity (p = 0.045). Sensitization to pet allergens, particularly cat allergen Fel d 1, was associated with the highest VEGF levels. A literature review confirmed wide variability in VEGF concentrations and the lack of standardized norms. While VEGF alone may not serve as a definitive biomarker for infertility, elevated levels may reflect an underlying inflammatory state. Our findings suggest VEGF testing could support broader clinical evaluation in women with UI, especially in the presence of allergic sensitization. Full article

This research aims to design a mobile-based application for waste management in Sukabumi City using the Design Thinking method. This application is designed to help Sukabumi City residents find out waste transportation schedules, TPS locations, and information on waste volume. This research uses the Design Thinking stages which include Empathize, Define, Ideate, Prototype, and Test. The results of prototype testing using the System Usability Scale (SUS) showed an average score of 77.0580475, which was included in the “Acceptable” category with the adjective “Good”. This application is expected to increase public awareness of waste management and provide more regular information regarding waste transportation schedules. Suggestions for developing this application are to expand the scope of use of the system and pay attention to input from users to improve the quality of the application. Full article

The axle box of a railway vehicle is a critical component, and its maintenance involves complex procedures that are difficult to convey with traditional, document-based manuals. To address these challenges, augmented reality (AR)-based educational content was developed to digitize maintenance training and enhance its effectiveness. The content’s implementation was guided by a systematic storyboard, which was based on interviews with skilled staff. It also utilized specialized algorithms to improve the accuracy of mechanical measurement work and the efficiency of User Interface (UI) generation. The user experience of the developed content was comprehensively evaluated using a combination of two methods: a formative evaluation through direct observation of work performance and a post-survey administered to 40 participants. As a result of the evaluation, the mean work success rate was 62.5%, demonstrating the content’s high efficiency as a training tool. The overall mean score from the post-survey was 4.11, indicating high user satisfaction and perceived usefulness. A one-way ANOVA was performed and revealed a statistically significant difference in post-survey scores among the four age groups. The developed content was found to be more effective for younger participants. The results confirm the high potential of AR as a digital educational method for complex maintenance work. Full article

This three-year field study evaluated the agronomic and physiological responses of Tritordeum to nitrogen fertilisation strategies under Mediterranean conditions using an integrated approach combining GDD-aligned phenological monitoring, UAV-based multispectral imaging, and soil analysis. Treatments included conventional urea, urea with a nitrification inhibitor (U+NI; DMPP-based), and urea with a urease inhibitor (U+UI; NBPT-based), compared to an unfertilised control. All nitrogen treatments significantly increased grain yield, reaching up to 2319 kg ha⁻¹ under the nitrification inhibitor treatment (26% higher than the control), and protein content, which peaked at 16.04% under urea. Temporal analysis revealed that urea with nitrification inhibitors consistently enhanced plant height, canopy greenness, and pigment retention during flowering to ripening stages, with NDVI and MCARI peaking under U+NI in 2025. In contrast, urea with urease inhibitor promoted greater early-season biomass and height. Soil nitrogen retention was slightly improved under both EEF treatments, with no adverse effects on pH or salinity. The strong alignment between UAV-derived indices and agronomic traits supports their use for monitoring nitrogen response. These findings demonstrate the benefits of a stage-specific fertilisation strategy, deploying urea with nitrification inhibitor early and urea with urease inhibitor during peak vegetative growth, to improve nitrogen synchrony with crop demand and support sustainable crop management in Tritordeum. Full article

The evolution of industrial automation toward Industry 3.0 and 4.0 has driven the emergence of Industrial Edge-Cloud Platforms, which increasingly depend on web interfaces for managing and monitoring critical operational technology. This convergence introduces significant security risks, particularly from Broken Access Control (BAC)—a vulnerability consistently ranked as the top web application risk by the Open Web Application Security Project (OWASP). BAC flaws in industrial contexts can lead not only to data breaches but also to disruptions of physical processes. To address this urgent need for robust web-layer defense, this paper presents VeriFlow, a static verification framework for access control in web applications. VeriFlow reformulates access control verification as a consistency problem between two core artifacts: (1) a Formal Access Control Policy (P), which declaratively defines intended permissions, and (2) a Navigational Graph, which models all user-driven UI state transitions. By annotating the graph with policy P, VeriFlow verifies a novel Path-Permission Safety property, ensuring that no sequence of legitimate UI interactions can lead a user from an authorized state to an unauthorized one. A key technical contribution is a static analysis method capable of extracting navigational graphs directly from the JavaScript bundles of Single-Page Applications (SPAs), circumventing the limitations of traditional dynamic crawlers. In empirical evaluations, VeriFlow outperformed baseline tools in vulnerability detection, demonstrating its potential to deliver strong security guarantees that are provable within its abstracted navigational model. By formally checking policy-graph consistency, it systematically addresses a class of vulnerabilities often missed by dynamic tools, though its effectiveness is subject to the model-reality gap inherent in static analysis. Full article

Gentamicin (GEN) is a broad-spectrum antibiotic widely used in livestock production, and its excessive residues in animal-derived foods pose potential health risks to consumers. However, conventional colloidal gold immunochromatographic assays (AuNPs-ICA) often suffer from low sensitivity and poor tolerance to sample matrices. Herein, a UiO-66-NH₂ framework decorated with gold nanoparticle (UiO-66-NH₂@Au)-based ICA was employed to construct an ICA platform for GEN detection, combining the optical advantages of AuNPs with the protective and stable octahedral framework of the Metal-organic framework (MOF) to enhance antibody stability under extreme conditions. The method achieved limits of detection for GEN of 0.1 µg/kg in four tested matrices, with recoveries of 80.1–112.0% and coefficients of variation below 11.7%. Compared to traditional AuNPs-ICA, the sensitivity was improved by up to 30-fold, the pH tolerance range was expanded from 6–8 to 4–10, and the organic solvent tolerance to organic solvents expanded up to 40%. Verification with 40 real samples demonstrated excellent correlation (R² > 0.99) with results from commercial ELISA kits. This UiO-66-NH₂@Au-ICA platform offers a new technical solution with high sensitivity, strong good anti-interference performance, and robustness for rapid field detection of GEN residues in products of animal origin and holds significant practical importance for advancing rapid food safety detection technologies. Full article

Iodine is an essential element for the synthesis of thyroid hormones. Iodine deficiency leads to a range of health consequences known as iodine deficiency disorders. To assess the iodine nutritional status of a population, urinary iodine (UI) is typically measured. This work introduces a novel and simple analytical method for determining UI using silver triangular nanoplates (AgTNPs) after interfering substances are removed via solid-phase extraction (SPE). The AgTNPs were synthesized and characterized using Transmission Electron Microscopy, UV–vis spectroscopy, and zeta potential measurements. The limit of detection of iodide of the AgTNPs assessed spectrophotometrically was 35.78 µg I⁻/L. However, urine samples interfered with the colorimetric reaction. Thus, an SPE methodology was developed and optimized to eliminate urine interferents that hinder AgTNP performance. A logistic regression analysis was conducted to validate the combined application of SPE and AgTNPs for the qualitative determination of UI. This work demonstrated that the developed SPE methodology eliminates these interferents and extracts iodide from the sample, allowing the accurate determination of UI using AgTNPs. This reliable sample preparation method was then used on actual human urine samples to accurately identify UI deficiency levels. The proposed methodology offers an effective and environmentally friendly approach for monitoring iodine status, without requiring highly complex equipment. Full article

Background/Objectives: Bulking agents such as Bulkamid^® are well-established surgical options for the treatment of stress urinary incontinence (SUI). Pelvic floor sonographic imaging is readily accessible and may assist in identifying patients who are more likely to benefit from bulking therapies. Urethral mobility appears to significantly influence treatment outcomes and can be classified into hypo-, normo-, and hypermobility. The primary aim of this study was to evaluate the impact of sonographic urethral mobility on the success rate of Bulkamid^® injections. The secondary objective was to assess differences between pre- and postoperative urinary incontinence scores. Methods: In women with SUI, linear dorsocaudal movement (LDM) of the urethra was measured sonographically. The International Consultation on Incontinence Modular Questionnaire—Urinary Incontinence Short Form (ICIQ-UI SF) was completed prior to Bulkamid^® injection. Patients were categorized into hypo-, normo-, and hypermobility groups based on their LDM measurements. Results: A total of 130 patients participated, with 101 undergoing both pre- and postoperative sonographic assessment. The difference in LDM before and after treatment was calculated. Patients with normomobile urethras (n = 79) exhibited the greatest mean improvement in continence scores, with LDM changes ranging from 6 to 24 mm and an average ICIQ-UI SF score reduction of 3.8 points. Patients with hypomobile (n = 16) or hypermobile urethras (n = 6) also demonstrated improvements, but to a lesser extent than the normomobile group. Conclusions: This study indicates that patients with a normomobile urethra experience the most significant improvement in continence outcomes following Bulkamid^® injection. Urethral mobility assessment via sonography may serve as a valuable preoperative tool and appears to play a crucial role in predicting treatment success with bulking agents. Full article

Saline–alkali soils in southern Xinjiang present significant challenges for sustainable jujube cultivation, necessitating innovative fertilization strategies to improve soil health and enhance fruit quality. This study investigated the synergistic effects of biochar–nitrogen (N) co-application on soil amelioration and the improvement of jujube quality in saline–alkali jujube orchards. A field experiment was conducted using different biochar application rates (0, BC1, BC2) combined with various N fertilizer types (conventional nitrogen N1, N2, UI-N (urease inhibitor), and NI-N (nitrification inhibitor)), which systematically analyzed soil physicochemical properties, nutrient dynamics, enzyme activities, microbial community structure, and jujube fruit yield and quality parameters. The BC1 biochar application rate emerged as the optimal threshold for soil carbon and N sequestration, with BC1 + N2 treatment achieving the highest total carbon and total nitrogen concentrations, representing increases of 12.4% and 21.42%, respectively, compared to controls. Biochar–N co-application significantly enhanced soil available nutrients, with BC1 + UI-N treatment producing the greatest soil organic matter increase within the BC1 group (9.20–14.51% enhancement). Notably, the treatments modulated soil microelement profiles, suppressing potentially toxic Cu and Mn while enhancing the availability of beneficial Mg and Fe. Soil enzyme activities responded differently, with urease and sucrase activities reaching maximum levels under BC2 + N1 and BC1 + UI-N treatments, respectively. Microbial community analysis revealed that biochar–N combinations significantly restructured both bacterial and fungal communities, with BC1 + NI-N treatment demonstrating superior bacterial α-diversity across all indices. Soil enzyme activities exhibited distinct response patterns, with urease and sucrase activities reaching their peak under the BC2 + N1 and BC1 + UI-N treatments, respectively. Moreover, the co-application of biochar (BC1) with N fertilizer significantly improved fruit performance, increasing per-tree yield by 24.23% and fruit vitamin C content by 16.47%, compared to the control. This study demonstrates that moderate biochar application (BC1) combined with urease inhibitor- enhanced N fertilizer (UI-N) represents an optimal fertilization strategy for saline–alkali jujube orchards, achieving simultaneous soil amelioration and fruit quality enhancement through coordinated regulation of soil–microbe–plant interactions. The established quantitative relationships provide a scientific foundation for the implementation of precision agriculture in arid saline–alkali regions, offering significant implications for sustainable specialty fruit production and soil health restoration in environmentally challenged agricultural systems. Full article

In January 2023, Wikipedia introduced its most significant user interface (UI) redesign in over a decade, aiming to improve readability, accessibility, and navigation across devices. Despite the scale of this change, little empirical work has assessed its actual impact on user behavior. This study employs a natural experiment framework, leveraging Wikipedia’s exogenous, site-wide redesign date and large-scale, publicly available data—including clickstream, pageview, and edit histories—to evaluate user experience before and after the change. Using a quasi-experimental design, we estimate an immediate jump of ~1.06 million monthly internal link clicks at launch, while average hourly pageviews in January rose 1.25% despite a one-time –1.79 million dip at rollout. These results highlight the potential of large-scale UI changes to reshape user interaction without broadly alienating users and demonstrate the value of quasi-experimental methods for Human–Computer Interaction (HCI) research. Our approach offers a replicable framework for evaluating real-world design interventions at scale. Full article

Research on extreme environmental exploration using unmanned robots has recently attracted significant attention. In particular, unmanned robot exploration in vast areas such as Antarctica requires a system capable of remotely monitoring and controlling multiple robots. This paper proposes an integrated control system designed to monitor, control, and assign exploration tasks to multiple robots operating in extreme environments. This system utilizes GPS-based collaboration to support specific tasks, such as crevasse exploration and automatic battery charging, in Antarctic target areas. The system’s user interface (UI) is designed for efficiency and integrates elements such as remote control and mission execution commands tailored to the Antarctic environment. The proposed system was implemented using three robot platforms, and through performance evaluation tests in Antarctica, it achieved a cumulative driving distance of over 500 km and over 200 h of operation for over a month. The successful execution of simultaneous crevasse exploration by three robots highlights the system’s capability for coordinated multi-robot operations in extreme environments. Full article

Objective: This study aimed to assess the dentoskeletal and postural modifications induced by treatment with the Swallowing Occlusal Contact Intercept Appliance (SOCIA III) in patients with pseudo-Class III malocclusion. The main hypothesis was that treatment with the SOCIA appliance induces significant skeletal and dentoalveolar changes in growing patients with pseudo-Class III malocclusion. Methods: Fifty-two pseudo-Class III malocclusion patients with a mean age of 8.5 were analyzed and compared with fifty-two untreated patients. Cephalometric evaluations were carried out at baseline (T0) and at the end of treatment. The cephalometric analysis comprised sagittal measurements (SNA, ANB, WITS, CB, ACB), dental variables (UI-PP, LI-MP, OVERJET, OVERBITE), and postural parameters (SNBa and cranio-cervical angle of the maxilla). Within-group comparisons at baseline (T0) and post-treatment (T1) were performed using the paired t-test or the Wilcoxon signed-rank test. Inter-group comparisons were based on the differences in variables between the two time points (ΔT1–T0), using the independent samples t-test or the Mann–Whitney U test. Results: At the end of treatment with the SOCIA appliance, significant improvements were observed in the ANB angle (0.61° to 2.06°, p = 0.001), SNA (81.56° to 83.26°, p = 0.006), WITS appraisal (−0.75 mm to 1.24 mm, p = 0.001), ACB angle (9.35 mm to 11.45 mm, p = 0.05), CB (64.78 mm to 65.51 mm, p = 0.03), and SNBa angle (127.57° to 129.14°, p = 0.01), as well as in overjet (0.62 mm to 3.60 mm, p = 0.001) and overbite (0.29 mm to 1.82 mm, p = 0.001). Conclusions: The SOCIA III appliance is effective in correcting pseudo-Class III malocclusion in growing patients by improving skeletal and dentoalveolar relationships. Full article