Search Results (23,155)

In this study, we investigated the antifungal potential of methanolic extracts and essential oils obtained from five medicinal plants (Salvadora persica, Mentha spicata, Achillea millefolium, Matricaria chamomilla, and Zingiber officinale) against 25 clinical isolates of Candida albicans collected from patients with denture stomatitis. Antifungal susceptibility was assessed using broth microdilution as the primary method, with agar diffusion assays performed to provide complementary visual confirmation. Nystatin was included as a reference control. Across the tested samples, essential oils consistently showed stronger antifungal effects than the corresponding methanolic extracts. Notably, Z. officinale essential oil exhibited the highest level of activity, inhibiting 15 out of 25 isolates and, in several cases, demonstrating efficacy comparable to or exceeding that of nystatin. Chemical profiling by GC–MS indicated that the ginger essential oil was dominated by sesquiterpene and monoterpene hydrocarbons, with zingiberene (21.49%) being the major constituent, followed by β-sesquiphellandrene, α-curcumene, sabinene, and α-citral. This terpene-rich composition may contribute to the observed antifungal activity, potentially through the disruption of fungal cell membrane integrity. Taken together, these results suggest that Z. officinale essential oil represents a promising natural antifungal candidate for the management of denture-associated C. albicans infections. Further studies, including biofilm-based assays and in vivo evaluations, will be necessary to confirm its clinical applicability. To the best of our knowledge, this study is among the first to comparatively assess these five medicinal plants against clinical C. albicans isolates derived specifically from denture stomatitis patients. Full article

Background: Migraine is a complex neurovascular disorder with a substantial genetic component, yet many contributing loci remain poorly characterised. Methods: This study investigated the association between 21 biologically prioritised single nucleotide variants (SNVs) and migraine susceptibility in a case-control cohort of 548 individuals of European ancestry, of whom 304 (164 cases, 140 controls) remained after quality control and principal component analysis (PCA). Genotyping was performed using a targeted Sequenom MassARRAY platform, and substantial missingness (mean 30.3% per SNV) was addressed using multiple imputation by chained equations (MICE). Association testing was conducted using three complementary logistic regression frameworks: unadjusted single-variant analysis, covariate-adjusted marginal models, and a multivariable joint model incorporating all SNVs with L2 regularisation. Results: Across analyses, two variants in ASTN2 (rs1052053 and rs6478241) showed the most robust associations with migraine, surviving Bonferroni correction in the joint model (p = 0.001 and p = 0.002, respectively) and false discovery rate (FDR) correction in marginal models (q = 0.003 for both). A third variant, rs7304841 (12p12), demonstrated a risk-increasing effect that reached FDR significance in marginal analysis (q = 0.035) and remained nominally significant in the joint model. In contrast, rs62624978 in CTC1 showed a strong signal in unadjusted analysis (OR = 0.217, p = 0.0014) and remained nominally significant after adjustment (p = 0.011), although it did not survive multiple-testing correction in imputed models. The joint model demonstrated good discriminatory performance (AUC = 0.822), though this is not intended as a predictive tool. Biologically, implicated loci suggest contributions from both neuronal circuit organisation (ASTN2) and telomere and vascular maintenance pathways (CTC1), supporting a broader neurovascular model of migraine susceptibility. Conclusions: These findings are consistent with shared genetic architecture between migraine and microvascular dysfunction, potentially involving endothelial integrity, neurovascular coupling, and cortical excitability mechanisms. Full article

Die swell is the dominant source of dimensional deviation in rubber profile extrusion. Because it is driven by recoverable elastic strain, a purely viscous baseline flow field cannot reproduce its speed dependence; a viscoelastic correction is required. This study presents, to the best of our knowledge, the first controlled comparison of a Carreau–Arrhenius baseline flow field against a fractional-order viscoelastic correction for carbon-black-filled EPDM across an industrial speed window. The viscoelastic correction (PyCFD-FMM) is a post-processing fractional-order viscoelastic swell correction built on the shared non-isothermal Polyflow Carreau–Arrhenius flow field, derived from a six-mode fractional Maxwell model parameterized from dynamic mechanical analysis via the Laun rule and closed through the Tanner recoverable-strain theory. Three carbon-black-filled EPDM compounds (Shore A 60–80) were extruded at four screw speeds (15–30 rpm) under instrumented conditions. Experimentally, swell ratios of 1.12–1.15 increase monotonically with screw speed (Fisher-combined $p=0.007$; measurement repeatability CV $\le 0.27$% across $n=4$ replicates per condition). The purely viscous baseline output gives a decreasing apparent swell–speed trend—opposite to experiment—whereas PyCFD-FMM recovers the correct increasing trend for all compounds. Under single-anchor hold-out evaluation at 20/25/30 rpm, the non-anchor MAPE decreases from 0.99% for the baseline flow-field output to 0.30% (PyCFD-FMM); an anchor-sensitivity check over all four rpm choices keeps the compound-averaged non-anchor MAPE within 0.27–0.39% and preserves the correct slope sign in every case. Swell decomposition into geometric baseline and net correction factor ($B_{\mathrm{PyCFD}}=B_{\mathrm{geom}}\times f_{\mathrm{corr}}$) confirms that the viscous baseline flow field captures flow-geometry effects but carries no elastic memory. Within the tested window, the viscoelastic correction meets a dual-gate criterion—correct slope sign and reduced non-anchor MAPE—which the purely viscous baseline cannot satisfy by construction. Full article

Sensor data are increasingly used in monitoring spatiotemporal phenomena for diverse applications such as flood management, urban traffic, air quality control, forest fire management, etc. Real-time modelling and representation of such evolving phenomena is fundamental for efficient and near-real-time decision-making processes. In addition to simple and local alerts about occurring changes over time at a given location, as is the case in Sensor Event Service (SES), the decision-making process may require more global spatial information, such as knowing if the monitored phenomenon is expanding or contracting around a given spot or if it is moving from one spot to another, especially for non-punctual spatial features. For such cases, spatiotemporal information should be computed over the whole set of distributed data from which the geometry of monitored phenomena can be assessed. This paper proposes an event-driven fuzzy rule-based decentralized spatial reasoning approach to compute spatiotemporal changes occurring in vague shape phenomena from distributed sensor data streams. Inferring local and partial spatial changes from individual nodes over the sensor network is prior to the computation of developing changes that the monitored phenomenon undergoes over the whole area covered by the sensor network. In this approach, we suggest a Fuzzy-Extended Spatiotemporal Change Pattern (FESTCP) to compute spatiotemporal changes about fuzzy regions. To evaluate our method, simulated case studies of ambient air pollution in Quebec City are carried out. The results reveal that the proposed method could provide satisfactory information about spatiotemporal changes in real-world phenomena monitored by a sensor network for a real-time decision-making process. Full article

Brucellosis remains one of the most widespread zoonotic infections worldwide, causing serious veterinary, medical, and socio-economic consequences. The disease, caused by bacteria of the genus Brucella, affects a wide range of domestic and wild animals as well as humans, with global incidence potentially reaching 1.6–2.1 million new cases annually. The most effective approach to combating brucellosis is specific prevention through vaccination. Therefore, we conducted this review to summarize data from existing studies on modern strategies for brucellosis vaccination, types of vaccine platforms, their efficacy, safety, and applicability in veterinary and human medicine. We searched databases including PubMed, Scopus, and Web of Science to identify relevant scientific articles in English published from 1990 to 2025. The aim of this work is to conduct a systematic analysis of modern brucellosis vaccination strategies in livestock and humans, as well as to evaluate the prospects of new vaccine platforms. The review examines live attenuated, inactivated, subunit, vector, and DNA vaccines, as well as their immunological mechanisms of action, advantages, and limitations of application. This information allows for a better understanding of the mechanisms of protective immunity formation and challenges related to DIVA diagnostics (Differentiating Infected from Vaccinated Animals). The “One Health” concept demonstrated the interconnection between human, animal, and environmental factors, emphasizing the need for an interdisciplinary approach to brucellosis monitoring, prevention, and control. Vector vaccines based on influenza virus (Flu-BA), developed in Kazakhstan, have shown high promise, combining immunogenicity, protective efficacy, and a favorable safety profile. Promising directions remain mRNA vaccines, nanoparticles, CRISPR/Cas9 technologies, and mucosal vaccines. Full article

Background: Tuberculosis (TB) remains a major cause of morbidity and mortality among children worldwide, with approximately one million new pediatric cases annually. The conventional treatment for drug-susceptible TB has long relied on a 6-month multidrug regimen, which is highly effective but associated with challenges in adherence, toxicity, and healthcare burden. Objectives: To evaluate whether short-course therapy is an appropriate regimen for children and young adolescents with drug-susceptible TB, with particular focus on its efficacy, safety, and applicability in different clinical contexts. Methods: A structured narrative review of the literature was conducted, including randomized controlled trials, observational studies, and international guidelines addressing treatment duration in children and young adolescents with drug-susceptible TB. Evidence was synthesized focusing on children and young adolescents <16 years with drug-susceptible TB treated with short-course regimens compared to standard therapy. Results: A shorter treatment regimen, particularly 4-month courses, has been investigated as an alternative to standard therapy in the pediatric population with drug-susceptible TB. Children often present with paucibacillary and non-severe forms of TB, providing a biological rationale for treatment shortening. Evidence from a randomized controlled trial has demonstrated that a 4-month regimen is non-inferior to the standard 6-month therapy in children and young adolescents with non-severe, drug-susceptible TB. These findings have informed recent international guideline updates, which now recommend short therapy in carefully selected patients. However, a short regimen is not appropriate for infants younger than 3 months, children with severe or complicated TB, extrapulmonary disease such as central nervous system involvement, or those with drug-resistant TB. The overall quality of evidence remains moderate, and long-term relapse data are still emerging. Conclusions: Short-course therapy represents a promising but selective strategy in pediatric drug-susceptible TB management. It offers potential advantages, including improved adherence, reduced drug toxicity, and lower healthcare costs. However, its safe implementation requires accurate patient selection, access to appropriate diagnostic tools, and structured follow-up. Careful application within clearly defined clinical criteria is essential to ensure optimal outcomes. Full article

Objectives: This study evaluates the epidemiological characteristics and survival, functional, and esthetic outcomes of pediatric patients diagnosed with head and neck sarcoma (PHNS) who underwent individualized surgical treatment for local disease control and/or for defect reconstruction. Methods: A cohort of 45 patients aged 0–18 years with histologically confirmed PHNS who underwent surgical resection and/or reconstructive procedures was analyzed. Extracted variables included demographic data, tumor histology and stage, surgical margin status, and systemic therapy modalities. Reconstructive strategies were assessed, considering technique, sequencing, and total duration of treatment. Survival analysis was performed, focusing on both overall survival (OS) and event-free survival (EFS). Results: Rhabdomyosarcoma constituted the predominant diagnosis (19/45), followed by Ewing sarcoma (7/45) and chondrosarcoma (5/45). The maxilla represented the most common primary site (18/45), whereas orbital origin was the least frequent (3/45). Complete surgical excision (R0) was achieved in 80.5% of resected cases. Margin status showed no statistically significant association with final outcome (p = 0.7786). In contrast, nodal metastasis, local recurrence, and distant dissemination were independently and collectively correlated with mortality. Survival analysis demonstrated a 3-year OS of 100% and an EFS of 79.8%, and a 5-year OS of 94.7% with an EFS of 70.7%. Conclusions: Implementation of an individualized surgical and reconstructive protocol was associated with effective local tumor control and favourable reconstructive outcomes. Oncologic prognosis was driven primarily by nodal involvement and recurrent or metastatic disease rather than margin status alone. Full article

In recent years, the development of generative artificial intelligence, particularly diffusion models such as Stable Diffusion (SD), has provided new opportunities for the digital representation and creative dissemination of cultural heritage. This study takes Shanghai revolutionary cultural heritage as a case study and develops an application-oriented integrated workflow for generating revolutionary cultural images. By introducing Low-Rank Adaptation (LoRA) into the SD framework and combining structural control with local refinement strategies, this study enhances the style expression and structural quality of the generated images. Furthermore, an interactive creation platform is constructed to support the generation and creation of revolutionary cultural images. The evaluation results, including subjective assessment and SSIM/LPIPS metrics, indicate that the proposed workflow achieves higher style consistency and structural reliability while improving the structural integrity and detail reliability of facial regions. The proposed workflow and platform are intended to support revolutionary cultural venues in practical digital production and dissemination of heritage content while also promoting public engagement with revolutionary culture, especially among younger audiences. This study highlights the application potential of generative Artificial Intelligence (AI) in enhancing the accessibility, digitalization, and sustainable dissemination of revolutionary cultural heritage. It also provides a practical reference for interdisciplinary research in the field of cultural heritage and AI-assisted digital communication. Full article

Single-species hedges can help mitigate a range of urban and climate change-related issues, such as slowing stormwater flow and reducing rainfall runoff, particularly during the growing season. There is, however, little information on the service delivery of mixed hedges and their comparison to single-species, year-round, as well as on the practicality of functional rather than ornamental plant mixing. Here, we report on an initial case study to address this. Chosen hedge taxa (Crataegus monogyna, Elaeagnus × submacrophylla ‘Gilt Edge’, Ligustrum ovalifolium, Thuja plicata ‘Atrovirens’) represented a range of plant characteristics. These were trialled outdoors in Reading (SE England, UK) as treatment groupings of either single-species or mixed-species (‘evergreen’ and ‘broadleaf’ mix), along with a bare soil control, in 110 L troughs. We applied 5 min simulated rainfall onto each treatment twice in every meteorological season and assessed canopy throughfall. We also monitored substrate moisture content change as a proxy for evapotranspiration and substrate storage capacity of subsequent rainfall. During summer, the deciduous taxa and mixed hedges had the highest evapotranspiration rates, suggesting their potential to influence soil water storage, but in our experimental setup, that did not translate into significant differences in substrate moisture between treatments. During autumn and winter, the single-species Thuja treatment had the highest rainfall interception rate, followed by both mixed species treatments. In winter, canopy and leaf characteristics rather than physiological activity correlated with increased rainfall attenuation. However, by the end of the experiment (spring 2023), Crataegus, Thuja and both mixed hedge treatments had significantly lower throughfall (higher interception) compared to bare soil. We are continuing to test these treatments in a longer-term field experiment. Management of mixed-species hedges for rainfall attenuation is practically achievable, despite some differences in individual species’ growth rates and plant habits. Full article

Providing regulation-compliant, high-fidelity training in aircraft maintenance remains challenging for institutions of education, where access to real aircraft, specialist tools, and operational environments is limited by cost, safety, and resource factors. This paper presents the design, in-house development, and pilot deployment of a virtual reality (VR) training system for an operationally critical maintenance procedure—Airbus A320 nose landing gear (NLG) wheel removal, strictly following the official Airbus Aircraft Maintenance Manual (AMM). Managed by an Agile-based methodology, the application, programmed with the Unity engine, uses full-size 3D CAD models and domain-expert input iteratively for quality-assured and rapid deployment. The system was piloted with aeronautical engineering students at the Vietnam Aviation Academy (VAA), achieving significant engagement and perceived gains for procedure knowledge and skill development. Positive comments emphasized the realistic, interactive, and repeatable quality of the simulation. Usability issues related to controller handling, cybersickness, and the absence of haptic feedback, however, suggest opportunities for refinement. This paper reports an early published case study of VR use in commercial aircraft maintenance training that is practically replicable and scalable, and developed in alignment with applicable civil aviation procedural requirements. It suggests that such a high-fidelity VR training platform can provide an accessible solution for aviation stakeholders to help bridge classroom training and real-world application in safety-critical training contexts. Full article

Background/Objectives: A non-surgical orthodontic treatment strategy for transverse maxillary deficiencies, especially in late adolescents and young adults, is microscrew-assisted rapid palatal expansion (MARPE). The literature indicates several concerns regarding its long-term efficacy and potential complications. Recent studies have provided valuable insights into the MARPE technique, particularly focusing on its efficacy, potential complications, and treatment failures. The present scoping review aims to synthesize and critically appraise clinical evidence on MARPE in post-pubertal patients, with a specific focus on treatment outcomes, mechanisms of failure, and local and systemic adverse effects to inform risk–benefit assessment and clinical decision-making. Methods: A systematic search was conducted across four electronic databases (PubMed, EMBASE, Scopus, and Cochrane Library) to identify English-language clinical trials, observational studies, and systematic reviews published between January 2015 and December 2025. The search strategy employed controlled vocabulary (MeSH terms) and Boolean operators targeting MARPE, treatment failure, and adverse effects in patients aged ≥ 16 years. After title/abstract screening and full-text assessment using predetermined inclusion criteria, 15 studies (3 systematic reviews with meta-analysis, 2 umbrella reviews, 4 systematic/scoping reviews, 2 randomized controlled trials, and 4 observational studies) were selected for qualitative synthesis. Results: Fifteen studies were finally included, which demonstrated significant heterogeneity in methodological design, sample characteristics, outcome measurement protocols, and MARPE device specifications. Mean success rates of 92.5% for maxillary transverse expansion were reported, with mean expansion duration ranging between 20 and 126 days. Key adverse effects comprised dentoalveolar tipping (buccal inclination of maxillary molars and premolars), periodontal complications (buccal bone resorption of 0.6–0.9 mm, gingival recession, papilla recession in 18% of cases), root resorption, miniscrew loosening, midpalatine/circummaxillary sutures, and potential but minimally documented intracranial effects. Conclusions: MARPE appears to be a valid non-surgical option for selected post-pubertal patients, but its success depends on careful case selection and monitoring for dentoalveolar, periodontal, sutural, and rare intracranial adverse effects. Full article

Extreme rainfall poses an increasing threat to mountainous transportation systems by frequently triggering landslides along road corridors. Most existing studies focus on long-term landslide susceptibility, whereas event-scale assessments remain limited, particularly in road environments. This study develops an event-scale framework for assessing landslide risk along mountain roads under extreme rainfall conditions, using the July 2023 “23·7” rainfall event in Mentougou District, Beijing, as a case study. A Random Forest model was constructed by integrating multi-source geospatial data with an event-specific inventory of 8930 landslides. The model achieved high predictive performance, with ROC–AUC values of 0.9187 and 0.9166 for the validation and test datasets, respectively. Feature importance analysis further indicates that landslide occurrence is controlled by the combined effects of rainfall, terrain conditions, vegetation cover, and anthropogenic disturbance, with rainfall acting as the primary trigger. High-risk road segments are mainly concentrated in the southeastern part of the study area, showing clear spatial clustering. These results highlight the value of event-scale analysis and demonstrate the effectiveness of the road-oriented framework for identifying hazardous segments under extreme rainfall conditions. The proposed approach provides practical support for landslide monitoring, risk mitigation, and resilient management of mountainous transportation infrastructure. Full article

The impact of PM_2.5 pollution on the health inequality of vulnerable groups is a core issue in environmental justice research. However, existing studies in China mostly focus on severely polluted areas in northern China. They lack comparative cases in economically developed eastern regions. They also rarely consider changes in the impact of air pollution on residents’ health amid rapid urbanization. Based on multi-source data, this study employed spatial visualization, spatial autocorrelation analysis and spatial regression models. It investigated the impact of PM_2.5 pollution on the health inequality of vulnerable elderly groups in 92 districts and counties of Jiangsu Province from 2010 to 2020. The results show that: first, the regional pattern of health inequality between PM_2.5 pollution and vulnerable elderly groups in Jiangsu has continuously evolved, with a “lower in the south and higher in the north” pollution pattern and high overlap between high-pollution areas and high elderly health risk areas in northern Jiangsu. Second, the spatial coupling between PM_2.5 and elderly health risks has gradually strengthened, showing significant positive spatial agglomeration in 2020, confirming obvious spatial agglomeration characteristics of air pollution’s health impact. Third, the adverse health impact of PM_2.5 on vulnerable elderly groups became significant in 2020, exhibiting cumulative and lagged characteristics; urbanization and regional coordinated development have played a positive role in alleviating regional health inequality, while a lagging energy structure further exacerbates the health vulnerability of the elderly. This study fills the gap of insufficient research on economically developed eastern regions and provides targeted empirical references for urban refined governance and precise prevention and control of environmental health inequality. Full article

With the fast penetration of renewable energy resources (RERs) in modern power grids, system inertia is gradually decreasing, whereby threatening frequency stability. Grid-forming (GFM) permanent magnet synchronous generator (PMSG) wind turbines have emerged as a promising solution for supporting and maintaining power system stability. Nevertheless, many studies neglect the inherent intermittency and limited power capability of RERs. As a result, the dynamic interactions between machine-side and grid-side converters are often neglected, and the DC link is commonly modeled as either an ideal voltage source or a controlled current source, which may lead to inaccurate representations of system dynamics. As a solution, this paper investigates the influence of RER intermittency and power constraints on DC-link dynamics and their impact on the frequency support performance of GFM PMSGs. First, the overall system is configured using back-to-back voltage source converters, and the system’s dynamic equations are presented. Afterwards, the impact of wind speed variations is thoroughly discussed, alongside a critical examination of the requirements specified in IEEE Standard 2800-2022. Furthermore, a supervisory curtailment strategy is proposed to ensure overall system stability under severe load disturbances when the PMSG is unable to supply the required power. Finally, detailed case studies are conducted to: (1) assess the influence of variable wind speed and DC-link voltage control on the dynamic response of PMSGs, and (2) compare the performance of the accurate DC-link dynamic model with conventional idealized and simplified models. Full article

Adenoviruses have been implicated in childhood cancers, primarily leukemia, yet prior neonatal investigations have rarely examined other pediatric tumor types. This study evaluated whether adenoviral early region (E1A) sequences can be detected in archival neonatal Guthrie cards from children who later developed diverse pediatric tumors and in corresponding paraffin-embedded tissues. DNA extraction was optimized for long-stored dried blood spots, and PCR conditions were refined for both Guthrie card and paraffin-derived DNA. Adenoviral E1A was analyzed using conventional and nested PCR, and sequencing of representative amplicons confirmed correspondence to human adenovirus species C. E1A PCR positivity was found in 43% of Guthrie cards from cases (n = 54) and 34% of controls (n = 32), and in 41% of tumor tissues (n = 75) compared with 5% of non-tumor paraffin controls (n = 20). Detection occurred across multiple tumor categories without a clear association with tumor type. Partial concordance was observed between paired neonatal and tumor samples, and cytomegalovirus markers were detected in a subset of E1A-positive specimens. These findings confirm the suitability of Guthrie cards for retrospective viral DNA detection and extend previous leukemia-focused neonatal studies to broader pediatric tumors. The data suggest a potential association between birth-stage adenoviral detection and childhood cancer, though a causal link remains unproven and requires further longitudinal investigation. Full article