Search Results (20,938)

The rapid expansion of tunnel construction in mountainous regions faces significant challenges due to the heterogeneity of surrounding rocks caused by faults, fractures, and karst features, which strongly affect groundwater seepage. Traditional homogeneous assumptions are inadequate for accurately predicting tunnel water inflow, while current heterogeneous assumptions primarily focus on the permeability of the medium near a single tunnel. This study employs 2D numerical modeling based on the Kexuecheng Tunnel in Chongqing, China, to investigate the effects of geological heterogeneity on tunnel discharge and groundwater drawdown. A methodological advancement of this work lies in the quantification of the impact of non-permeability heterogeneity, stratigraphic continuity, and dip angles on groundwater under multi-tunnel conditions. Four stratigraphic continuities (R = 60 m, 120 m, 180 m, 240 m) and four dip angles (θ = 0°, 30°, 60°, 90°) are considered for permeability variations. Results demonstrate that heterogeneous formations produce irregular discharge and non-uniform groundwater drawdown, closely reflecting field conditions. Increased stratum continuity intensifies discharge and drawdown at smaller dip angles, while combined variations yield complex hydraulic responses. In multi-tunnel settings, reduced spacing amplifies discharge and drawdown, exacerbating groundwater impacts. Compared with homogeneous conditions, heterogeneous formations yield higher water inflow and uneven drawdown. The findings underscore the necessity of accounting for geological heterogeneity and tunnel interactions in hydrogeological evaluations and design. In addition to permeability, stratigraphic continuity and dip angles during simulation validation, especially in multi-tunnel configurations, enhance safety and reduce engineering risks. Full article

Background/Objectives: The emergence of immune-evasive SARS-CoV-2 variants highlights the need for adaptable vaccine strategies. Trimeric receptor-binding domain (tRBD) antigens offer structural and immunological advantages over monomeric RBDs, but DNA vaccine efficacy has been limited by inefficient antigen expression, particularly in non-dividing antigen-presenting cells. Although cytoplasmic transcription–based DNA platforms have been developed to overcome nuclear entry barriers, their utility for antigen structure–function optimization remains underexplored. This study evaluated whether integrating a rationally designed trimeric RBD with a T7-driven cytoplasmic transcription system could enhance immunogenic performance. Methods: A DNA vaccine encoding a tandem trimeric SARS-CoV-2 RBD was delivered using a T7 RNA polymerase-driven cytoplasmic transcription system. In vitro antigen expression was assessed following Lipofectamine 3000-mediated transfection. In vivo, mice were immunized with the SM-102-based Rpol/tRBD/LNP formulation, and immunogenicity was assessed by antigen-specific antibody titers, serum neutralizing activity, and T-cell response profiling, together with basic safety/tolerability evaluations. Results: The T7-driven cytoplasmic transcription system markedly increased antigen mRNA and protein expression compared with conventional plasmid delivery. Rpol/tRBD vaccination induced higher anti-RBD IgG titers, enhanced neutralizing antibody activity, and robust CD8⁺ T cell responses relative to monomeric RBD and plasmid-based trimeric RBD vaccines. Immune responses were Th1-skewed and accompanied by germinal center activation without excessive inflammatory cytokine induction, body-weight loss, or hepatic and renal toxicity. Conclusions: This study demonstrates that integrating rational trimeric antigen engineering with direct cytoplasmic transcription enables balanced and well-tolerated immune activation in a DNA vaccine context. The T7 autogene-based platform provides a flexible framework for antigen structure–function optimization and supports the development of next-generation DNA vaccines targeting rapidly evolving viral pathogens. Full article

Carbon dots (CDs) have emerged as a promising non-viral gene delivery vector due to their excellent biocompatibility and tunable surface properties. In this study, four CDs with gradient-positive zeta potentials (7.23 mV, 16.7 mV, 25.3 mV, 34.5 mV) were synthesized via a hydrothermal method. Among these, CDs-3 with an optimal zeta potential of 25.3 mV stood out, exhibiting ultra-low cytotoxicity (cell viability >80% even at 50 μg/mL) and a transfection efficiency of nearly 100% (for GFP plasmid delivery), significantly outperforming commercial vectors Lipo2000 and PEI. A stable CDs-3/siIhh delivery system was constructed at a mass ratio of 2:1. In vitro evaluations confirmed that CDs-3/siIhh could efficiently regulate the Indian Hedgehog (Ihh) signaling pathway and osteoarthritis (OA)-related markers in both normal and IL-1β-induced inflammatory ATDC5 chondrocytes. Its regulatory effect was significantly superior to that of the commercial Lipo2000/siIhh and PEI/siIhh systems. This consistent “transcription–translation” regulation, combined with the carrier’s safety and excellent cellular internalization capacity in chondrocytes, highlights its potential for OA gene therapy. Collectively, our work develops a novel, safe, and efficient positive-potential CD-based gene delivery vector, providing a promising gene regulatory capacity by leveraging optimized surface charge engineering. Full article

In the Trentino Alto Adige region, disposal of grape stalks (GS) represents a major cost for wineries, despite their content of phenolic and tannin-rich compounds with potential functional value in ruminant nutrition. This study evaluated whether dietary GS supplementation could influence milk microbiota and cheese quality, supporting local circular-economy strategies. GS from three red cultivars (L-GS, CS-GS, M-GS) were dried, milled, and assessed for safety; their average total polyphenol content was approximately 15 g/kg DM. 3 Holstein cows underwent a 7-week trial consisting of alternating control (CTRL) and GS-supplemented periods (2% DM). Weekly milk samples (n = 21) and corresponding mini-cheeses (n = 21) were analyzed. GS supplementation did not affect milk coliforms (2.3–2.5 log CFU/mL), while total mesophilic counts were significantly lower in M-GS (2.8 ± 0.46 log CFU/mL) than in CTRL (4.5 ± 0.71; p < 0.05). Acinetobacter dominated the milk microbiota but decreased from 34.0% in CTRL to 18.0% in L-GS. Cheese total polyphenols were highest in CS-GS (224 ± 34 mg/kg). ¹H-NMR and VOCs profiling indicated cultivar-dependent shifts in carbohydrate-related metabolites and short-chain fatty acids. Overall, GS supplementation subtly modulated cheese biochemical and aromatic traits without impairing technological performance, supporting the valorization of winery by-products within integrated dairy-viticulture systems. Full article

To address the failure risks associated with long-term service of subsea Christmas tree-wellhead systems under the complex marine environment of the South China Sea, a multi-factor coupled mechanical analysis method is proposed to evaluate the system’s mechanical characteristics and ensure the safety of deepwater oil and gas production. A dynamic model of lateral vibration under seismic loading is established, considering the combined effects of earthquakes, ocean currents, and seabed soil resistance. Based on the actual operating parameters of a well in the Lingshui area of the South China Sea, a three-dimensional finite element model of the subsea Christmas tree-wellhead assembly was developed in ABAQUS 2023. The combined effects of ocean currents, seismic loading, and corrosion over long-term service were simulated to compute and analyze the distributions of stress, bending moment, and associated failure risk. The results indicate that, under a once-in-a-century current combined with seismic waves of intensity V–VI, the system risk remains controllable. However, when the seismic intensity exceeds level VII, the maximum stress and bending moment reach 324.9 MPa and 6.02 MN·m, respectively, surpassing the allowable limits for an X56-grade surface conductor. Considering corrosion effects over a 25-year service life, the extreme stress values increase by 1–5% while the bending moment increases slightly; corrosion significantly amplifies the system’s failure risk. An analysis of the mudline burial height of the subsea wellhead during long-term service shows that, within a range of 1–7 m, variations in system loading are minimal. Based on the mechanical characteristics analysis, it is recommended that the design of subsea Christmas trees and wellheads incorporate regional seismic history, specify X56-grade surface conductors to mitigate corrosion effects, and install leakage-monitoring devices at critical locations to ensure the long-term service safety of the subsea Christmas tree-wellhead system. Full article

Maritime surveillance is critical for ensuring the safety and continuity of sea logistics, port operations, and coastal activities in the presence of anomalies such as unlawful maritime activities, security-related incidents, and anomalous events (e.g., tsunamis or aggressive marine wildlife). Recent advances in unmanned aerial vehicles (UAVs)/drones and computer vision enable automated, wide-area monitoring that can reduce dependence on continuous human observation and mitigate the limitations of traditional methods in complex maritime environments (e.g., waves, ship clutter, and marine animal movement). This study proposes a hybrid anomaly detection and tracking pipeline that integrates YOLOv12, as the primary object detector, with two auxiliary modules: (i) motion assistance for tracking moving anomalies and (ii) stillness (appearance) assistance for tracking slow-moving or stationary anomalies. The system is trained and evaluated on a custom maritime dataset captured using a DJI Mini 2 drone operating around a port area near Bayshore MRT Station (TE29), Singapore. Windsurfers are used as proxy (dummy) anomalies because real anomaly footage is restricted for security reasons. On the held-out test set, the trained model achieves over 90% on Precision, Recall, and mAP50 across all classes. When deployed on real maritime video sequences, the pipeline attains a mean Precision of 92.89% (SD 13.31), a mean Recall of 90.44% (SD 15.24), and a mean Accuracy of 98.50% (SD 2.00%), indicating strong potential for real-world maritime anomaly detection. This proof of concept provides a basis for future deployment and retraining on genuine anomaly footage obtained from relevant authorities to further enhance operational readiness for maritime and coastal security. Full article

Background and Objectives: Endoscopic biopsy of brain lesions plays an important role in the management of intra- and periventricular lesions. While the diagnostic yield of this technique has been reported with varying success across studies, its outcome is likely influenced by specific technical nuances of the procedure. However, the relationship between these technical factors and diagnostic accuracy remains understudied in the current literature. We aim to describe the procedural rationale, key anatomical considerations, and technical nuances of the endoscopic biopsy of intra- and paraventricular brain lesions, comparing standard tissue forceps with a side-cutting biopsy needle technique. Materials and Methods: We conducted a ten-year single-center, retrospective study of patients who underwent endoscopic biopsy for intra- and paraventricular brain lesions between January 2014 and December 2024. Patients were divided based on the biopsy technique used: the first group of 11 patients was treated using a side-cutting biopsy needle from the center of the lesion, while the second group of five patients underwent tissue sampling with standard endoscopic tissue cup forceps. The study evaluates and compares both approaches in terms of safety and diagnostic accuracy. Results: Endoscopic visualization enabled direct assessment of the biopsy site in both groups. Histopathological diagnoses were successfully obtained in all cases with a side-cutting biopsy needle (11/11, 100.0%), and in almost all cases with the cup forceps technique (4/5, 80.0%). In patients with obstructive hydrocephalus, an endoscopic third ventriculostomy (ETV) was performed as the first and therapeutic step in all procedures and two patients required a shunt procedure. Conclusions: Endoscopic biopsies utilizing a side-cutting biopsy needle strategy offer a promising adjunctive approach for selected intra- and paraventricular brain lesions. This method allows for direct visualization of the intraventricular surface, while the use of a needle biopsy can enhance the likelihood of obtaining diagnostically representative tissue with a high degree of reliability. Full article

Modern healthcare systems increasingly depend on wearable Internet of Medical Things (IoMT) devices for the continuous monitoring of patients’ physiological parameters. It remains challenging to differentiate between genuine physiological anomalies, sensor faults, and malicious cyber interference. In this work, we propose a hybrid fusion framework designed to attribute the most plausible source of an anomaly, thereby supporting more reliable clinical decisions. The proposed framework is developed and evaluated using two complementary datasets: CICIoMT2024 for modelling security threats and a large-scale intensive care cohort from MIMIC-IV for analysing key vital signs and bedside interventions. The core of the system combines a supervised XGBoost classifier for attack detection with an unsupervised LSTM autoencoder for identifying physiological and technical deviations. To improve clinical realism and avoid artefacts introduced by quantised or placeholder measurements, the physiological module incorporates quality-aware preprocessing and missingness indicators. The fusion decision policy is calibrated under prudent, safety-oriented constraints to limit false escalation. Rather than relying on fixed fusion weights, we train a lightweight fusion classifier that combines complementary evidence from the security and clinical modules, and we select class-specific probability thresholds on a dedicated calibration split. The security module achieves high cross-validated performance, while the clinical model captures abnormal physiological patterns at scale, including deviations consistent with both acute deterioration and data-quality faults. Explainability is provided through SHAP analysis for the security module and reconstruction-error attribution for physiological anomalies. The integrated fusion framework achieves a final accuracy of 99.76% under prudent calibration and a Matthews Correlation Coefficient (MCC) of 0.995, with an average end-to-end inference latency of 84.69 ms (p95 upper bound of 107.30 ms), supporting near real-time execution in edge-oriented settings. While performance is strong, clinical severity labels are operationalised through rule-based proxies, and cross-domain fusion relies on harmonised alignment assumptions. These aspects should be further evaluated using realistic fault traces and prospective IoMT data. Despite these limitations, the proposed framework offers a practical and explainable approach for IoMT-based patient monitoring. Full article

The accidental contamination of olives by mineral hydrocarbons, such as diesel, motor lubricants, and hydraulic fluids from agricultural machinery, has become a growing concern in the olive oil industry. In response, European regulatory bodies are working on establishing new standards to address this issue. This study explores the feasibility of using Metal Oxide Semiconductor (MOS) gas sensors as a non-invasive method for detecting such contaminants on freshly harvested olives across different maturity stages. By assessing the sensitivity and selectivity of MOS sensors, this research aims to identify hydrocarbons that may adhere to the olive surface during harvesting and processing. The study involves controlled laboratory contamination scenarios, with samples exposed to various hydrocarbons to evaluate the relative response of individual MOS sensors under reproducible conditions. Findings from this research may provide valuable insights into rapid and cost-effective detection systems, supporting quality control and regulatory compliance in olive oil production, and contributing to the safety and traceability of olive-derived products. As a feasibility study, the results provide a basis for future developments involving multivariate analysis, field-contaminated samples, and industrial implementation. Full article

The purpose of this study was to characterise the effect of cranberry (Vaccinium macrocarpon) juice on unicellular and multicellular systems, specifically food spoilage yeasts (Wickerhamomyces anomalus, Dekkera bruxellensis and Rhodotorula mucilaginosa) and intestinal cells (IEC-6 and Caco-2 cells). The effects of both raw cranberry juice and juice digested in vitro were investigated. The juices were analysed for polyphenol content using high-performance liquid chromatography coupled with mass spectrometry. The cranberry juice was evaluated for its impact on yeast surface hydrophobicity and anti-adhesive action using the MATH test and luminometry/microscopy, respectively. We also assessed the effects of raw and digested cranberry juices on IEC-6 and Caco-2 cells by measuring cell viability, metabolic modulation, genotoxicity, and antioxidant activity. Chromatographic analysis of the raw cranberry juice revealed the presence of diverse bioactive compounds, identified as hydroxybenzoic and hydroxycinnamic acids, flavonols, and anthocyanins. After digestion, the cranberry juice remained a rich source of phenolic acids. The yeast strain R. mucilaginosa was characterised by the highest hydrophobicity and adhesive abilities, but cell adhesion in the presence of raw cranberry juice was several times lower for all the tested strains. Both tested cranberry juices reduced ROS levels and were well tolerated by intestinal epithelial cells, without significant cytotoxic or genotoxic effects. Our findings provide new insights into the safety of using cranberry juice across unicellular and multicellular systems. However, further validation in real-world settings is necessary before practical applications. Full article

High-precision autonomous localization remains a critical challenge for intelligent mining vehicles in GNSS-denied and unstructured coal mine roadways, where traditional odometry-based methods suffer from severe cumulative drift and perceptual aliasing. Inspired by the synergy between mammalian visual cues and cognitive neural mechanisms, this paper proposes a robust biomimetic localization framework that integrates multi-source perception with a prior cognitive map. The core contributions are three-fold: First, a semantic-enhanced biomimetic localization method is developed, leveraging roadway sign data as absolute spatial anchors to suppress long-distance cumulative errors. Second, an optimized head direction (HD) cell model is formulated by incorporating a speed balance factor, kinematic constraints, and a drift correction influence factor, significantly improving the precision of angular perception. Third, boundary-adaptive and sign-based semantic constraint terms are integrated into a continuous attractor network (CAN)-based path integration model, effectively preventing trajectory deviation into non-navigable regions. Comprehensive evaluations conducted in large-scale underground scenarios demonstrate that the proposed framework consistently outperforms conventional IMU-odometry fusion, representative 3D SLAM solutions, and baseline biomimetic algorithms. By effectively integrating semantic landmarks as spatial anchors, the system exhibits superior resilience against cumulative drift, maintaining high localization precision where standard methods typically diverge. The results confirm that our approach significantly enhances both trajectory consistency and heading stability across extensive distances, validating its robustness and scalability in handling the inherent complexities of unstructured coal mine environments for enhanced intrinsic safety. Full article

Background/Objectives: Trigeminal Neuralgia (TN) is a chronic neuropathic condition characterized by sudden, severe facial pain. Anticonvulsants are the cornerstone of pharmacological management, yet comparative evidence based on pharmacological class remains scarce. This systematic review aimed to evaluate the efficacy and safety of anticonvulsants in TN, stratified by their mechanism of action. Methods: A systematic search in PubMed, Scopus and Web of Science was conducted following PRISMA 2020 guidelines. Studies employing a pharmacological approach including human patients with TN, published in English since 2000, were included. Risk of bias was assessed using the Cochrane RoB 2, the ROBINS-I and the ROBINS-E tools, according to the study design. Results: Out of 922 initial records, 12 studies met the eligibility criteria. Sodium channel inhibitors showed high efficacy but frequent adverse effects, particularly hyponatremia and central nervous system symptoms. Calcium channel modulators offered a more favorable safety profile. Combination therapies showed benefits, levetiracetam and topiramate were moderately effective and well tolerated. Although the evidence has limitations, anticonvulsants continue to be the primary treatment for TN. Sodium-channel blockers demonstrate strong efficacy, whereas alternative agents generally provide superior tolerability. Conclusions: These findings support selecting drugs according to their underlying mechanisms of action. Equally important is tailoring therapy to pain phenotype and patient characteristics, balancing mechanism with tolerability and efficacy. Full article

Background/Objectives: Pleural mesothelioma (PM) frequently recurs despite multimodal therapy. Here, we aimed to retrospectively evaluate the safety and potential clinical benefit of radiofrequency ablation (RFA) for recurrent PM. Methods: Fourteen consecutive patients underwent CT-guided RFA between July 2019 and June 2025. The cohort comprised 13 men and 1 woman, with a median age of 69 (range, 54–77) years. All patients had previously received systemic therapy, and 12 had undergone surgery. Seven patients (50%) presented with multiple lesions, and 25 tumors (median diameter 1.8 cm; range, 0.5–7.0 cm) were treated in 23 sessions. Outcomes assessed were local tumor control, complications, and survival. Local progression and overall survival were estimated using Kaplan–Meier analysis. Adverse events were classified according to the Society of Interventional Radiology guidelines. Results: Technical success was achieved in all sessions. Two tumors showed local recurrence, corresponding to 1- and 2-year local progression rates of 10.6%. Seven patients showed distant metastases, most of whom subsequently received systemic therapy. Three patients died, two from disease progression and one from treatment-related gastrointestinal perforation during therapy for an unrelated cancer. The overall survival rates were 100%, 100%, and 60% at 1, 3, and 5 years, respectively. Major and minor complications occurred in one case each (4.3%): a refractory skin ulcer and retroperitoneal hematoma, respectively. Conclusions: RFA was technically feasible and generally well tolerated and helped achieve encouraging local control and survival in patients with recurrent PM, warranting further evaluation of RFA as a complementary approach in multimodal treatment strategies. Full article

Background/Objectives: The COVID-19 pandemic exposed global weaknesses in healthcare preparedness and highlighted the pivotal role of the World Health Organization (WHO) in coordinating responses and issuing technical guidance. Among these, the document “Rational use of personal protective equipment (PPE) for COVID-19 and considerations during severe shortages” (December 2020) aimed to standardize PPE use amid global scarcity. This study assessed the awareness, implementation, and perceived usefulness of this WHO guidance among Polish healthcare personnel and evaluated discrepancies between the WHO expectations and workplace realities. Methods: A cross-sectional, anonymous online survey was conducted between July and September 2025 among employees of 243 randomly selected healthcare facilities in Poland (constituting 20% of all hospitals). The original 24-item questionnaire covered the demographics, awareness and implementation of the WHO PPE guidelines, and perceptions of their effectiveness during and after the pandemic. Data were analyzed descriptively. Results: A total of 542 healthcare workers participated, predominantly nurses (56.8%) and physicians (12.2%), with 86.8% being female and 59.3% having over 20 years of experience. Most respondents (76.5%) reported familiarity with the WHO PPE document, and 63.1% confirmed its implementation in their institutions. Over two-thirds (68.0%) reported that the guidelines improved their sense of safety at work. The main barriers to implementation included staff shortages (52.9%) and insufficient local guidance (20.6%). In 2025, 52.3% continue to apply the WHO recommendations, and 70.8% believe they remain relevant in current practice. However, 80.2% indicated that the WHO guidance should be more closely adapted to local conditions. Conclusions: The WHO PPE guidance was widely recognized and reported as implemented by respondents from participating healthcare facilities, contributing to improved preparedness. Nonetheless, limited institutional support and inadequate local adaptation reduced implementation effectiveness. Future WHO recommendations should better align with national healthcare contexts to enhance preparedness for future crises. Full article

Cost code verification in state-funded construction projects remains a labor-intensive and error-prone task, particularly given the structural heterogeneity of project estimates and the prevalence of malformed codes, inconsistent units of measurement (UoMs), and locally modified price components. This study evaluates a deterministic GPT-based assistant designed to automate Vietnam’s regulatory verification. The assistant was developed and iteratively refined across four Action Research cycles. Also, the system enforces strict rule sequencing and dataset grounding via Python-governed computations. Rather than relying on probabilistic or semantic reasoning, the system performs strictly deterministic checks on code validity, UoM alignment, and unit price conformity in material (MTR), labor (LBR), and machinery (MCR), given the provincial unit price books (UPBs). Deterministic equality is evaluated either on raw numerical values or on values transformed through explicitly declared, rule-governed operations, preserving auditability without introducing tolerance-based or inferential reasoning. A dedicated exact-match mechanism, which is activated only when a code is invalid, enables the recovery of typographical errors only when a project item’s full price vector well matches a normative entry. Using twenty real construction estimates (16,100 rows) and twelve controlled error-injection cases, the study demonstrates that the assistant executes verification steps with high reliability across diverse spreadsheet structures, avoiding ambiguity and maintaining full auditability. Deterministic extraction and normalization routines facilitate robust handling of displaced headers, merged cells, and non-standard labeling, while structured reporting provides line-by-line traceability aligned with professional verification workflows. Practitioner feedback confirms that the system reduces manual tracing effort, improves evaluation consistency, and supports documentation compliance with human judgment. This research contributes a framework for large language model (LLM)-orchestrated verification, demonstrating how Action Research can align AI tools with domain expectations. Furthermore, it establishes a methodology for deploying LLMs in safety-critical and regulation-driven environments. Limitations—including narrow diagnostic scope, unlisted quotation exclusion, single-province UPB compliance, and sensitivity to extreme spreadsheet irregularities—define directions for future deterministic extensions. Overall, the findings illustrate how tightly constrained LLM configurations can augment, rather than replace, professional cost verification practices in public-sector construction. Full article