Search Results (770)

Background: Autologous osteochondral transplantation (AOT)—the transfer of hyaline cartilage with its underlying subchondral bone—is well established for focal osteochondral lesions, yet evidence for larger (>200 mm²) defects is limited. We assessed clinical and functional outcomes of AOT in patients with osteochondral knee lesions exceeding 200 mm². Methods: In this retrospective cohort study, 52 patients underwent AOT for full-thickness osteochondral defects of the femoral condyles or patellofemoral joint. All lesions were ≥200 mm² and treated with a standardized press-fit technique using one to four overlapping cylindrical grafts. Pain and knee function were evaluated preoperatively and at 3, 6, and 12 months postoperatively with the Visual Analogue Scale (VAS), Tegner–Lysholm Knee Score (TLKS), and Knee Society Score (KSS). Results: Mean defect size was 224.4 ± 84.5 mm². The VAS improved from 6.32 ± 1.1 preoperatively to 0.72 ± 0.6 at 12 months (p < 0.001). The TLKS rose from 58.6 ± 11.4 to 95.0 ± 6.8 and the KSS from 63.8 ± 12.2 to 97.4 ± 4.9 during the same period (both p < 0.001). Most gains occurred within the first 3–6 months and were sustained at 12 months. No major surgical complications were observed, and outcomes were unaffected by age, sex, or graft number/size. Conclusions: AOT is a safe, effective option for large osteochondral knee defects (>200 mm²), offering rapid, durable pain relief and excellent functional recovery while preserving native joint structures. Accurate donor site reconstruction and precise graft placement in the weight-bearing zone appear critical for optimal results. Longer-term prospective studies are needed to confirm durability and refine patient-selection criteria. Full article

The increasing integration of autonomous electric vehicles (EVs) into Intelligent Transportation Systems (ITSs) needs rigorous mechanisms to ensure their safe and effective operation in dynamic environments. The reliability of such vehicles depends not only on their internal capabilities but also on the suitability and safety of the environments in which they operate. This paper introduces a formal modelling framework that captures independently the dynamic evolution of the environmental context and the EV agent using multi-parameter transition systems. Two distinct models are defined: the Context Transition System (CTS), which models changes in environmental states, and the Agent Transition System (ATS), which captures the internal state evolution of the EV. Safety and liveness properties are formally specified in Computation Tree Logic (CTL) and verified using the nuXmv model checker. The framework is validated through two representative use cases: a dynamic urban delivery zone and an autonomous electric delivery vehicle. The results highlight the framework’s effectiveness in detecting unsafe conditions, verifying mission objectives, and supporting the reliable deployment of EVs in ITS. Full article

The changing structure of modern cities intensifies anthropopressure, resulting in the need to create plans for the protection of biodiversity in cities. This can be achieved by establishing lawns and flower strips along the streets and maintaining parks and squares in cities, creating green infrastructure and contributing to sustainable urban development. However, this vegetation also requires protection that is safe for the environment and city residents. Entomopathogenic fungi (EPF) are among the most well-known and effective microorganisms that infect plant pests and conduct the disease process leading to their death. The aim of the study was to conduct a comparative analysis of the generic composition of EPF and determine the density of their colony-forming units (CFUs) in soils from flower strips and lawns located along the main communication routes of the city of Siedlce (Poland). Soil samples collected from two sites and two habitats (a flower strip and a lawn directly adjacent to it)—Site No. 1, Wyszyńskiego Street; Site No. 2, Jagiełły Street—in the spring and autumn of 2021/2022 and 2024. At each site within the habitat, three zones (repeats) were designated, spaced approximately 10–15 m apart. Approximately six samples were collected from each replication, and then a mixed sample was prepared. Four genera of EPF were found in the soil samples: Beauveria, Metarhizium, Cordyceps, and Akanthomyces. The location, habitat type, and season had a significant effect on the diversity of individual genera of fungi and the density of colony-forming units (CFUs) in the studied soils. The dominant types of EPF, forming the most CFUs in the soils from the studied flower strips and the adjacent lawns, were Metarhizium spp. and Beauveria spp. It was found that EPF occurred in higher densities in the soil from the studied habitats (flower strips and lawns) in autumn than in spring. Both of these semi-natural habitats constitute forms of urban greenery that increase biodiversity and provide valuable ecosystem services that support sustainable urban development. Full article

Current acne therapies face major limitations, including antibiotic resistance and skin irritancy. In this study, a synergistic strategy combining cryptotanshinone and madecassoside was developed through functional complementarity. Antibacterial activity against Cutibacterium acnes was evaluated using minimum inhibitory concentration (MIC) and inhibition zone assays, while cytotoxicity was assessed using human keratinocytes (HaCaTs). Anti-inflammatory efficacy was quantified by measuring tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), interleukin-6 (IL-6), and prostaglandin E₂ (PGE₂) in lipopolysaccharide-stimulated macrophages and a copper sulfate-induced zebrafish inflammatory model. Systemic safety was examined in zebrafish models (developmental toxicity and sodium dodecyl sulfate-induced irritation). Finally, macroscopic severity, histopathology, and serum cytokines were used to assess an oleic acid-induced rat acne model. Cryptotanshinone inhibited Cutibacterium acnes (minimum inhibitory concentration = 62.5 μg/mL) but exhibited cytotoxicity (>5 μg/mL) and irritancy (≥1000 μg/mL). Madecassoside eliminated cryptotanshinone-induced cytotoxicity and reduced irritation. Importantly, the combination maintained antibacterial efficacy while synergistically enhancing anti-inflammatory effects, achieving a 94% reduction in follicular hyperkeratosis compared with 39% for cryptotanshinone alone (p < 0.01), alongside normalization of histopathology and cytokine levels. In conclusion, madecassoside functionally complements cryptotanshinone by neutralizing its cytotoxicity and irritancy, enabling a safe, synergistic therapy that concurrently targets antibacterial and anti-inflammatory pathways in acne pathogenesis. Full article

As renewable energy adoption intensifies, the demand for efficient and large-scale storage technologies such as compressed air energy storage (CAES) has become critical. Abandoned mine caverns present a cost-effective and sustainable option for CAES, enabling the reuse of existing underground spaces while minimizing new excavation. This study aims to quantitatively evaluate the stability of abandoned mine caverns for CAES under varying burial depths (150 m, 300 m, 450 m), cavern geometries (rectangular, trapezoidal, straight-wall arch, and circular) and sealing layer (steel, polymer) in Class II rock mass conditions. Finite element modelling employing ABAQUS was employed to simulate excavation, lining installation, and high-pressure gas storage, incorporating an analysis of surrounding rock strain, plastic zone development, and sealing layer performance. Results indicate that geometry and burial depth are dominant factors controlling deformation, with straight-wall arch caverns inducing relatively minimal disturbance to the ground surface after excavation and lining, and circular caverns showing the highest stability after pressurization. Steel sealing layers significantly improve structural performance, while polymer layers have a limited effect. The findings provide engineering guidance for the safe retrofit and design of CAES facilities in abandoned mines. Full article

As human–robot shared service environments become increasingly common, autonomous navigation in narrow space environments (NSEs), such as indoor corridors and crosswalks, becomes challenging. Mobile robots must go beyond reactive collision avoidance and interpret surrounding risks to proactively select safer routes in dynamic and spatially constrained environments. This study proposes a deep reinforcement learning (DRL)-based navigation framework that enables mobile robots to interact with pedestrians while identifying and traversing open and safe spaces. The framework fuses 3D LiDAR and RGB camera data to recognize individual pedestrians and estimate their position and velocity in real time. Based on this, a human-aware occupancy map (HAOM) is constructed, combining both static obstacles and dynamic risk zones, and used as the input state for DRL. To promote proactive and safe navigation behaviors, we design a state representation and reward structure that guide the robot toward less risky areas, overcoming the limitations of traditional approaches. The proposed method is validated through a series of simulation experiments, including straight, L-shaped, and cross-shaped layouts, designed to reflect typical narrow space environments. Various dynamic obstacle scenarios were incorporated during both training and evaluation. The results demonstrate that the proposed approach significantly improves navigation success rates and reduces collision incidents compared to conventional navigation planners across diverse NSE conditions. Full article

The search for novel natural resources, such as extracts from algae and plant for use as reductants and capping agents for the synthesis of nanoparticles, may be appealing to medicine and nanotechnology. This study aimed to use Malva parviflora fruit extract as a novel source for the green synthesis of silver nanoparticles (AgNPs) and to evaluate their characterization. The results of biosynthesized AgNP characterization using multiple techniques, such as UV–Vis spectroscopy, scanning electron microscopy (SEM), FTIR analysis, and zeta potential (ZP), demonstrated that M. parviflora AgNPs exhibit a peak at 477 nm; possess needle-like and nanorod morphology with diameters ranging from 156.08 to 258.41 nm; contain –OH, C=O, C-C stretching from phenyl groups, and carbohydrates, pyranoid ring, and amide functional groups; and have a zeta potential of −21.2 mV. Moreover, the antibacterial activity of the M. parviflora AgNPs was assessed against two multidrug-resistant strains, including Staphylococcus aureus MRSA and Escherichia coli ESBL, with inhibition zones of 20.33 ± 0.88 mm and 13.33 ± 0.33 mm, respectively. The minimum bactericidal concentration (MBC) was 1.56 µg/mL for both. SEM revealed structural damage to the treated bacterial cells, and RAPD-PCR confirmed these genetic alterations. Additionally, M. parviflora AgNPs showed antioxidant activity (IC₅₀ = 0.68 mg/mL), 69% protein denaturation inhibition, and cytotoxic effects on MCF-7 breast cancer cells at concentrations above 100 µg/mL. These findings suggest that M. parviflora-based AgNPs are safe and effective for antimicrobial and biomedical applications, such as coatings for implanted medical devices, to prevent biofilm formation and facilitate drug delivery. Full article

Mine roof water inrush represents a prevalent hazard in mining operations, characterized by its concealed onset, abrupt occurrence, and high destructiveness. Since mine water inrush is controlled by multiple factors, rigorous risk assessment in hydrogeologically complex coal mines is critically important for operational safety. This study focuses on the roof water inrush hazard in coal seams of the Banji coal mine, China. The conventional water-conducting fracture zone height estimation formula was calibrated through comparative analysis of empirical models and analogous field measurements. Eight principal controlling factors were systematically selected, with subjective and objective weights assigned using AHP and EWM, respectively. Game theory was subsequently implemented to compute optimal combined weights. Based on this, the vulnerability index model and fuzzy comprehensive evaluation model were constructed to assess the roof water inrush risk in the coal seams. The risk in the study area was classified into five levels: safe zone, relatively safe zone, transition zone, relatively hazardous zone, and hazardous zone. A zoning map of water inrush risk was generated using Geographic Information System (GIS) technology. The results show that the safe zone is located in the western part of the study area, while the hazardous and relatively hazardous zones are situated in the eastern part. Among the two models, the fuzzy comprehensive evaluation model aligns more closely with actual engineering practices and demonstrates better predictive performance. It provides a reliable evaluation and prediction model for addressing roof water hazards in the Banji coal seam. Full article

Background/Objectives: Medicinal plants are an abundant source of bioactive molecules, particularly in arid environments, such as Saudi Arabia, where Ocimum basilicum L. (Saudi basil) has long been used for its therapeutic properties. This study aimed to examine the phytochemical profile and bioactivities of non-ozonated (untreated) and ozonated methanolic extracts of O. basilicum and to determine whether ozonation enhances their biological effects, with a focus on antidiabetic, anti-Alzheimer, anti-inflammatory, antimicrobial, and cytotoxic properties. Methods: Fresh leaves of O. basilicum were extracted with methanol, subjected to ozonation, and analyzed by HPLC. In vitro assays were conducted to evaluate α-amylase, α-glucosidase, and BChE inhibition, RBC membrane stabilization, antibacterial activity against Helicobacter pylori and cytotoxicity using normal lung fibroblasts (WI-38) and human colorectal adenocarcinoma cell line (Caco-2). Results: Ozonation modified the phytochemical profile, enriching chlorogenic and rosmarinic acids. Ozonated extracts exhibited stronger inhibition of α-amylase with an IC₅₀ of 5.09 µg/mL compared to 13.6 µg/mL of untreated Saudi basil and α-glucosidase (IC₅₀ 6.15 µg/mL vs. 9.42 µg/mL). They also showed enhanced BChE inhibition with an IC₅₀ of 13.4 µg/mL compared to 31.8 µg/mL of non-ozonated extract. In addition, ozonated extracts produced significant anti-inflammatory effects by stabilizing RBCs, with an IC₅₀ of 8.04 µg/mL compared to 8.44 µg/mL for untreated extracts and 4.41 µg/mL for indomethacin. Ozonated extracts produced larger H. pylori inhibition zones (26.7 mm) and an MBC/MIC ratio of 1. Cytotoxicity testing revealed that ozonated extracts were less toxic to WI-38 cells, with IC₅₀ values of 437.89 µg/mL versus 191.06 µg/mL, and 149.14 µg/mL compared to 103.7 µg/mL of untreated Saudi basil in Caco-2 cells. Conclusions: Ozonation enriches the phytochemical composition of O. basilicum, enhancing antidiabetic, neuroprotective, anti-inflammatory, and antibacterial activities while reducing cytotoxicity on normal cells. These findings support the potential of ozonated O. basilicum as a safe and promising natural therapeutic candidate for metabolic, neurodegenerative, and infectious diseases. Full article

The maneuvering performance of ships in marginal ice zones is critical for navigational safety, yet most existing studies focus on icebreaking vessels. This study develops a coupled numerical framework that integrates the Non-Smooth Discrete Element Method (NDEM) for simulating ship–ice interactions with the three-degree-of-freedom MMG model for ship dynamics. The framework was applied to an S175 container ship, and numerical simulations were conducted for turning circle and Zig-Zag maneuvers under varying ice concentrations (0–60%), floe sizes, and rudder angles. NDEM efficiently handles complex, high-frequency multi-body collisions with larger time steps compared to conventional DEM or CFD–DEM approaches, enabling large-scale simulations of realistic ice conditions. Results indicate that increasing ice concentration from 0% to 60% reduces the turning diameter from 4.11L to 3.21L and decreases steady turning speed by approximately 53%. Larger floes form stable force chains that restrict lateral motion, while higher rudder angles improve responsiveness but may induce dynamic instability. These findings improve understanding of non-icebreaking ship maneuverability in ice and provide practical guidance for safe and efficient Arctic navigation. Full article

Artificial intelligence (AI) is playing an increasingly important role in driving sustainable change across coastal and marine environments. Artificial intelligence offers strong support for environmental decision-making by helping to process complex data, anticipate outcomes, and fine-tune day-to-day operations. In busy coastal zones such as the Mediterranean where tourism and boating place significant strain on marine ecosystems, AI can be an effective means for marinas to reduce their ecological impact without sacrificing economic viability. This research examines the contribution of artificial intelligence toward the development of environmental sustainability in marina management. It investigates how AI can potentially reconcile economic imperatives with ecological conservation, especially in high-traffic coastal areas. Through a focus on the impact of social and technological context, this study emphasizes the way in which local conditions constrain the design, deployment, and reach of AI systems. The marinas of Ibiza and Monaco are used as a comparative backdrop to depict these dynamics. In Monaco, efforts like the SEA Index^® and predictive maintenance for superyachts contributed to a 28% drop in CO₂ emissions between 2020 and 2025. In contrast, Ibiza focused on circular economy practices, reaching an 85% landfill diversion rate using solar power, AI-assisted waste systems, and targeted biodiversity conservation initiatives. This research organizes AI tools into three main categories: supervised learning, anomaly detection, and rule-based systems. Their effectiveness is assessed using statistical techniques, including t-test results contextualized with Cohen’s d to convey practical effect sizes. Regression R² values are interpreted in light of real-world policy relevance, such as thresholds for energy audits or emissions certification. In addition to measuring technical outcomes, this study considers the ethical concerns, the role of local communities, and comparisons to global best practices. The findings highlight how artificial intelligence can meaningfully contribute to environmental conservation while also supporting sustainable economic development in maritime contexts. However, the analysis also reveals ongoing difficulties, particularly in areas such as ethical oversight, regulatory coherence, and the practical replication of successful initiatives across diverse regions. In response, this study outlines several practical steps forward: promoting AI-as-a-Service models to lower adoption barriers, piloting regulatory sandboxes within the EU to test innovative solutions safely, improving access to open-source platforms, and working toward common standards for the stewardship of marine environmental data. Full article

The present study quantifies mercury (Hg) concentrations in mangrove oysters (Crassostrea rhizophorae) and assesses their potential as biomonitors of Hg contamination in the Parnaíba River Delta (PRD), located on the equatorial coast of Brazil (ECB). The highest Hg concentrations occurred in the smallest individuals’ size class (20–40 mm) from the main channel of the Parnaíba River (52.1 to 195.4 ng g⁻¹ w.w.), whereas the largest individuals’ size class (larger than 60 mm) exhibited the lowest Hg concentrations (35.2–114 ng g⁻¹ w.w.). There was a significant correlation between Hg concentrations and shell sizes, either when considering all size classes or when considering only individuals of size classes smaller than 40 mm. Oysters larger than 40 mm did not present any significant correlation between Hg concentrations and size. In addition to size, higher concentrations were observed at the freshwater–seawater transition in the main channel sites. These maximum suspended particulate zones, with bottom sediment resuspension, can favor Hg adsorption to fine particles, increasing the bioavailability of Hg. A regional comparison of Hg concentrations in mangrove oysters from the ECB suggests they are efficient biomonitors at a regional level. In contrast, the environmental dynamics of the PRD, with high variability within sites, hampered its use at the local level. Mangrove oysters from the PRD are shown to be safe for human consumption, as far as Hg exposure is concerned, and the presented risk assessment shows no excessive exposure, even at high-frequency consumption rates. Full article

Background: Abdominal wall endometriosis (AWE) is a rare but debilitating condition, often occurring in surgical scars after Caesarean sections. It is characterized by cyclic pain and a palpable mass, significantly impacting patients’ quality of life. Traditional treatments, including hormonal therapy and surgery, have limitations, prompting interest in minimally invasive techniques such as cryoablation. This study evaluates the efficacy and safety of percutaneous image-guided single-probe cryoablation using liquid nitrogen for symptomatic AWE. Purpose: To evaluate the effectiveness and safety of percutaneous image-guided single-probe cryoablation using liquid nitrogen in treating symptomatic AWE lesions, with a primary objective to assess pain relief using the Visual Analog Scale (VAS). Materials and Methods: This retrospective, single-center study included 14 patients (23 lesions) treated with percutaneous cryoablation between September 2022 and April 2025. Clinical, imaging (MRI and ultrasound), and procedural data were analyzed. Pain scores (VAS scale) were assessed before treatment and at 3-month follow-up. Hydro- and/or carbo-dissection were used to protect adjacent structures. Response to treatment was evaluated with MRI and clinical follow-up. Statistical analysis was performed using median, range, and percentage calculations, with comparisons made using the Mann–Whitney test. Results: A total of 23 AWE lesions were treated in 14 patients (mean age: 39.6 years). The median lesion volume was 3546 mm³, with a range from 331 mm³ (8 × 4.6 × 9 mm) to 45,448 mm³ (46 × 26 × 38 mm). Most of the lesions were located in the muscle (69.6%, n = 16), while 17.4% (n = 4) involved both muscle and subcutaneous tissue, and 13.0% (n = 3) were purely subcutaneous. Among the 23 treated lesions, 8.7% (n = 2) appeared as purely hemorrhagic, 13.0% (n = 3) as fibrotic, and 78.3% (n = 18) were classified as mixed, based on imaging characteristics. Procedures were performed under general anesthesia in 65% of cases and under sedation in 35%. Hydrodissection was used in 48% of lesions, carbo-dissection in 4%, and combined hydro–carbo-dissection in 26%. A single 13G cryoprobe was used in 83% of cases, and a 10G probe in 17%. The median ablation time was 15 min (range: 6–28 min), and the median total procedure time was 93 min (range: 22–240 min). Pain scores significantly decreased from a median of 8/10 (range: 6–10) before treatment to 0/10 (range: 0–2) at follow-up (p < 0.0001). MRI follow-up confirmed complete coverage of the ablation zone and disappearance of hemorrhagic inclusions in all cases. Two patients (14%) required re-treatment, both with satisfactory outcomes. No peri- or post-procedural complications were observed, and no visible scars were noted. Conclusions: Percutaneous cryoablation using a single probe with liquid nitrogen is a safe and effective treatment for AWE, offering significant pain relief, minimal morbidity, and excellent cosmetic outcomes. It should be considered as part of multidisciplinary care. Further prospective studies with longer follow-up are warranted to confirm these findings. Full article

Background: An accurate device sizing for percutaneous left atrial appendage closure (LAAC) can be challenging. Intraprocedural automated LAA evaluation by transoesophageal echocardiography (TEE) based on an artificial intelligence-assisted 3D model may facilitate sizing and prediction of C-arm angulation for device implantation in a one-stop-shop procedure. This study aimed to evaluate the feasibility and accuracy of automated echocardiographic LAA sizing based on a patient-specific 3D heart model prototype in real-time. Methods: A prospective monocentric study was conducted in 66 patients who underwent LAAC with the Amulet device. All major LAA morphologies were represented. Preprocedural multidetector computed tomography (MSCT) measurements and intraprocedural TEE and angiography measurements of the ostium, landing zone, and C-arm angulation were compared with the 3D heart model measurements. Results: The procedure achieved a 100% success rate. The measurements for the maximum diameter of the ostium in the 3D heart model were not significantly different from those obtained via angiography, TEE, and MSCT. Specifically, the maximum diameter of the landing zone did not differ significantly compared to TEE and angiographic measurements (20.90 ± 3.42 mm vs. 20.96 ± 4.81 mm, p = 0.563; compared to 21.20 ± 3.90 mm, p = 0.291). However, these measurements were significantly smaller than the average MSCT measurements (18.30 ± 2.68 mm vs. 21.03 ± 4.34 mm, p < 0.001). Additionally, the predicted implantation angles showed no significant differences between the 3D heart model and MSCT. Conclusions: The intraprocedural application of this prototype is both safe and feasible. The measurements obtained from the 3D heart model were consistent with those from TEE and angiography, although discrepancies were noted when compared to MSCT measurements. Notably, the predicted implantation angles demonstrated strong agreement with MSCT, further supporting the prototype’s efficacy in clinical settings. Full article

To address the node voltage fluctuation and over-limit caused by the high penetration of distributed photovoltaic (PV) generation connected to distribution networks, this paper proposes a network partition-based optimal reactive power allocation and sizing method in the active distribution network (ADN). A network index incorporating network partition and critical node identification is introduced to obtain the optimal location for the reactive power compensation. A singular value entropy-based adaptive spectral clustering algorithm is applied to obtain the initial zones and obtain the critical nodes of each zone on the basis of the proposed network indexes. This method avoids the unreasonable scheme and enhances the efficiency and clarity of partitioning. The improved decimal coding method is proposed to improve the efficiency of the proposed method. A case study on the IEEE 33-node distribution system is carried out to verify the feasibility and effectiveness of the proposed method. The results show that compared with the conventional methods, the proposed method can effectively reduce voltage variations and control the voltage within the safe limit. Full article