Search Results (20,492)

Background/Objectives: Malignant tumors of the sinonasal tract are rare, accounting for approximately 3–5% of all head and neck tumors. Despite recent advances in therapy, overall survival in sinonasal cancer remains limited, with local recurrence representing the leading cause of treatment failure. Consequently, the preoperative identification of patients at higher risk of recurrence or developing more aggressive tumors is of critical importance to guide treatment strategies and improve outcomes. The aim of this review is to analyze the results of the most recent literature studying the use of radiomics in malignant sinonasal tumors. Methods: A comprehensive literature review was conducted using the PubMed/MEDLINE, EMBASE and Cochrane Library databases, in accordance with the PRISMA review criteria (from 2020 to July 2025). Results: The final analysis comprised a total of five articles and 629 patients. At present, radiomics in sinonasal cancer is mainly applied to the prediction of Ki-67 expression, the early assessment of recurrence risk, and the evaluation of response to induction chemotherapy. Conclusions: The results of this review indicate that radiomics has the potential to play an important role in the management of sinonasal malignant tumors. However, further research is necessary to confirm these findings. Full article

The Xintianling deposit, a skarn-type tungsten mineralization system in the Nanling Range of South China, presents significant challenges in identifying new high-grade orebodies. This study employs an integrated approach, combining the opposing-coil transient electromagnetic (OCTEM) method with geochemical exploration, to delineate and evaluate concealed mineralization within and beyond the known mining area. High-precision geophysical surveys revealed low-resistivity anomalies along the contact zone between Jurassic granite and the Carboniferous Shidengzi Formation limestone. Integration of these anomalies with geochemical element associations (W-Sn-Fe-Bi and Cu-Mo-As) highlights signatures indicative of tungsten mineralization. The results demonstrate that skarn-type orebodies in the mining area are primarily controlled by the axial planes of N–S-striking anticlines and associated secondary folds, with thick, large orebodies preferentially forming in depressions along the granite roof. Comprehensive analysis of the geophysical and geochemical data identified 15 low-resistivity anomalies in the Shanglongshan–Huanggualing target area, of which 14 are interpreted as potential skarn-type mineralized bodies, thereby delineating three potential exploration targets. This integrated methodology establishes a robust scientific foundation for deep and peripheral prospecting in the mining area and provides methodological guidance for exploring similar skarn-type tungsten deposits. Full article

Natural melanin biopolymers exhibit a variety of biological activities, but their commercial development is constrained by numerous factors, including high costs, unsustainable sources, the use of harmful solvents during extraction, and low extraction efficiency. Notably, existing research indicates that synthetic melanin differs from natural melanin in nature, and this difference may directly impact its application efficacy. Additionally, the extraction process itself is highly challenging, primarily due to the diversity and complexity of melanin biopolymer structures. The melanin produced by edible fungi primarily belongs to the eumelanin category. Given its outstanding sustainability and accessibility, it is regarded as an ideal raw material for industrial production. To deepen our understanding of edible fungus-derived melanin and promote its effective application across various fields, a comprehensive review of research on melanin isolated from edible fungi is urgently needed. Such a review will help researchers from different disciplinary backgrounds recognize the importance of edible fungus melanin and provide reference information for their research planning. With this objective in mind, this report reviews the latest research progress in recent years regarding extraction methods, structural characterization, biological activity, and application areas of edible fungus-derived melanin. Additionally, the report explores key characteristic parameters for distinguishing different types of melanin and emphasizes the importance of deepening our understanding of the biosynthetic mechanisms of edible mushroom melanin, aiming to lay the foundation for its efficient production and application in the future. Full article

This review aims to synthesize current knowledge on the environmental contaminants N-(1,3-dimethylbutyl)-N′-phenyl-p-phenylenediamine (6PPD) and its quinone derivative (6PPDQ) derived from tire wear particles (TWPs), focusing on their environmental distribution, transformation, human exposure pathways, toxicological effects, and health risks to ecological and human health. A comprehensive literature review was conducted, compiling and analyzing data from environmental monitoring studies, toxicological assessments on aquatic and mammalian models, and emerging human biomonitoring research. Key findings on concentrations, toxicological endpoints (e.g., LC50, oxidative stress, genotoxicity), and exposure pathways were evaluated. 6PPD and its transformation product 6PPDQ are ubiquitous environmental pollutants found in air, water, soil, sediment, and dust. 6PPDQ is notably highly toxic to aquatic organisms, with an acute LC50 of 790 ng/L for coho salmon. Human exposure to these compounds occurs through inhalation, ingestion, and dermal contact, and their presence has been confirmed in human matrices including blood, urine, and cerebrospinal fluid. Toxicological studies, primarily on model organisms, indicate that 6PPD and 6PPDQ can induce oxidative stress, cause DNA damage, and disrupt metabolic and neurological functions. Adverse outcomes such as intestinal toxicity, reproductive impairment, neurobehavioral changes, and potential carcinogenicity have been observed. However, direct evidence of their health impacts on humans remains limited. 6PPD and 6PPDQ pose significant and widespread ecological risks, with 6PPDQ representing a particularly potent aquatic toxicant. While human exposure is confirmed, the full scope of human health implications is not yet well understood. The review highlights the need for longitudinal environmental tracking, mechanistic studies, and refined exposure models to inform regulatory actions and mitigate risks. Addressing these challenges is essential to mitigate the ecological and health burdens posed by 6PPD and 6PPDQ. This study underscores the global societal importance of addressing 6PPD-related pollution—a pervasive and transboundary environmental challenge stemming from universal tire wear. Full article

Smart and sustainable cities are often assessed using indicator-based models. However, most existing systems evaluate cities as a whole, offering limited support for project-level decision-making, particularly in small and medium-sized cities with scarce resources. This study aims to fill this gap by developing a comprehensive indicator framework tailored to the evaluation of smart city projects, designed to guide investment choices and support evidence-based planning. To build this framework, a systematic review of international indicator systems was conducted, compiling and refining over 1200 indicators into a unified taxonomy. The analysis revealed structural imbalances, with environmental and social dimensions prevailing over economic and governance aspects, and confirmed substantial redundancies, with nearly one-third of indicators overlapping. Using project actions as an analytical lens, gaps were detected and 73 evaluation areas defined. From these, anticipated impact indicators were developed and linked to corresponding performance metrics. Beyond consolidating fragmented systems, the framework provides a practical and balanced tool for multidimensional project assessment. An initial empirical pre-validation demonstrated its coverage and usability, reinforcing its potential to support planners and policymakers in comparing investment alternatives. Unlike traditional ranking or maturity models, it directly bridges the gap between abstract smart city strategies and tangible, project-level outcomes. Full article

The Belt and Road Initiative (BRI) represents one of the world’s most ambitious transnational infrastructure and investment programs, but its implementation faces considerable external risks. Specifically, these risks include geopolitical instability, regulatory disparities, socio-cultural conflicts, and economic volatility, which threaten project continuity, economic viability, and sustainability of the BRI framework. Consequently, effective risk recognition and prediction has become crucial for mitigating disruptions and supporting evidence-based policy formulation. What should be noticed is that existing risk management frameworks lack specialized, dynamically adaptive indicator systems capable of forecasting external risks specific to international engineering projects under the BRI. They tend to rely on static and traditional methods, which are ill-equipped to handle the dynamic and nonlinear nature of these transnational challenges. To address this gap, we have developed a machine learning-based early warning system. Drawing on a comprehensive dataset of 31 risk indicators across 155 BRI countries from 2013 to 2022, we constructed a stacked ensemble model optimized via Grid Search. The resulting ensemble model demonstrated exceptional predictive performance, achieving an R² value of 0.966 and outperforming all baseline methods significantly. By introducing a data-driven early-warning framework, our study contributes to more resilient infrastructure planning and improved risk governance mechanisms in the context of transnational cooperation initiatives. Full article

This study aimed to characterize lactic acid bacteria (LAB) and coagulase-negative staphylococci (CoNS) isolated from traditionally produced sucuk for their potential use in starter culture development and food safety applications in fermented meat products. A total of 145 isolates (95 LAB and 50 CoNS) were analyzed through genetic identification, phylogenetic analysis, and assessments of technological properties. Antagonistic activity against Listeria monocytogenes and Staphylococcus aureus was also evaluated, along with antibiotic sensitivity. Among LAB, Lactiplantibacillus plantarum was the most prevalent species (60 isolates), while Staphylococcus xylosus was the predominant CoNS species (24 isolates). The isolates exhibited diverse technological properties and varying levels of antagonistic activity against the tested pathogens. Antibiotic sensitivity tests indicated that 15 selected isolates were negative for antibiotic resistance genes. Overall, this comprehensive characterization provides valuable insights for the development of starter cultures and for enhancing food safety in fermented meat products. Full article

This study aims to enhance the corrosion resistance and bioactivity of zinc surfaces through the development of chitosan–pistachio shell (CPM) coatings reinforced with Nb₂CT_x MXene. The approach introduces a sustainable pathway by incorporating waste pistachio shells as a natural, eco-friendly additive within a biopolymer matrix. Comprehensive structural and surface characterizations confirmed the homogeneous dispersion of Nb₂CT_x and the successful fabrication of the hybrid coating. Electrochemical analyses in simulated body fluid demonstrated that the CPM coatings markedly improved the corrosion protection of zinc by shifting the corrosion potential to more noble values, reducing current density and increasing polarization resistance. Impedance results further indicated enhanced charge transfer resistance and stable diffusion-controlled behavior. The coatings also exhibited stronger adhesion, higher hydrophilicity, and improved surface compatibility. After immersion in simulated body fluid, the formation of a dense apatite layer on the CPM surface confirmed the coating’s excellent bioactivity. These findings demonstrate that Nb₂CT_x-reinforced CPM coatings significantly enhance the functional performance of zinc, combining corrosion resistance, biocompatibility, and mechanical stability. Moreover, the use of pistachio shell waste underscores the potential of sustainable biomaterials in developing environmentally friendly coatings for biomedical applications. Full article

With the increasing demand for sustainable food production, the facility agriculture is progressively developing towards automation and intelligence. Traditional control techniques such as PID, fuzzy logic, and model predictive control have been widely applied in greenhouse planting for years. Existing greenhouse management systems still face challenges such as limited adaptability to fluctuating outdoor climates, and difficulties in maintaining both productivity and cost-effectiveness. Recently, with the development of greenhouse systems towards comprehensive environmental perception and intelligent decision-making, a large number of intelligent control and modeling technologies have provided new opportunities for the technological update of greenhouse management systems. This review systematically summarizes recent progress in greenhouse regulation and crop growth control technologies, emphasizing applications of intelligent techniques, involving adaptive strategies, neural networks, and reinforcement learning. Special attention is given to how these methods improve system robustness and control performance in terms of environmental stability, crop productivity, and energy efficiency, which are key performance indicators of greenhouse systems. Their advantages over conventional strategies in agricultural greenhouse systems are also analyzed in detail. Furthermore, the integration of intelligent technologies with greenhouse system modeling is examined, covering both greenhouse environmental models and crop growth models. The strengths and weaknesses of different techniques, such as mechanism, computational fluid dynamics (CFD), and data-driven models, are analyzed and discussed in terms of accuracy, computational cost, and applicability. Finally, future challenges and research opportunities are discussed, emphasizing the need for real-time adaptability, sustainability, and cluster intelligence. Full article

The 60 kg/m U75V rail serves as the predominant rail type within China’s high-speed rail network. This study comprehensively evaluates the fatigue behavior of U75V rails through experimental investigations encompassing monotonic tensile testing, high-cycle fatigue characterization, and fatigue crack propagation analysis. All specimens were extracted from standardized 60 kg/m high-speed rail sections to ensure material consistency. Firstly, monotonic tensile tests were conducted to determine the fundamental mechanical properties of the U75V rail. Secondly, uniaxial tension–compression fatigue tests were conducted to establish the S-N and P-S-N relationships of the U75V rail. Lastly, fatigue crack propagation analysis was carried out on three compact tension specimens under three incremental loading forces. Monotonic tensile test results demonstrated full compliance of the material’s basic mechanical properties with Chinese national standards. Fatigue crack propagation results indicated that the crack growth rate of the U75V rail was not only related to the stress-intensity range ∆K but was also correlated with the loading force range ∆F due to a typical crack tip shielding effect, i.e., plasticity-induced crack closure effect. The derived fatigue performance parameters and crack growth mechanism provide essential inputs for predictive fatigue life modeling of high-speed rail infrastructure and development of refined finite element models for fatigue analysis. Full article

Reliable DC cable insulation is crucial for photovoltaic (PV) systems and high-voltage DC (HVDC) networks. However, conventional materials such as cross-linked polyethylene (XLPE) and polyvinyl chloride (PVC) face challenges under prolonged DC stress—notably space charge buildup, dielectric losses, and thermal aging. Cross-linked polyolefin (XLPO) has emerged as a halogen-free, thermally stable alternative, but its comparative DC performance remains underreported. Methods: We evaluated the insulations of virgin XLPO, XLPE, and PVC PV cables under ±1 kV DC using time-domain indices (IR, DAR, PI, Loss Index), supported by MATLAB and FTIR. Multi-layer cable geometries were modeled in MATLAB to simulate radial electric field distribution, and Fourier-transform infrared (FTIR) spectroscopy was employed to reveal polymer chemistry and functional groups. Results: XLPO exhibited an IR on the order of 10⁸–10⁹ Ω, and XLPE (IR ~ 10⁸ Ω) and PVC (IR ~ 10⁷ Ω, LI ≥ 1) at 60 s, with favorable polarization indices under both polarities. Notably, they showed high insulation resistance and low-to-moderate loss indices (≈1.3–1.5) under both polarities, indicating controlled relaxation with limited conduction contribution. XLPE showed good initial insulation resistance but revealed polarity-dependent relaxation and higher loss (especially under positive bias) due to trap-forming cross-linking byproducts. PVC had the lowest resistance (GΩ-range) and near-unit DAR/PI, dominated by leakage conduction and dielectric losses. Simulations confirmed a uniform electric field in XLPO insulation with no polarity asymmetry, while FTIR spectra linked XLPO’s low polarity and PVC’s chlorine content to their electrical behavior. Conclusions: XLPO outperforms XLPE and PVC in resisting DC leakage, charge trapping, and thermal stress, underscoring its suitability for long-term PV and HVDC applications. This study provides a comprehensive structure–property understanding to guide the selection of advanced, polarity-resilient cable insulation materials. Full article

Background: This study employed a markerless motion capture system to quantify the external game load of elite 3 × 3 basketball players and evaluated its association with game performance. Methods: Twenty-four female 3 × 3 basketball games from the 2024 Paris Olympic Games were analyzed, involving 32 players from eight national teams. A markerless motion capture system was used to collect six categories of external load metrics during games, and 22 types of technical statistics were gathered to determine performance. Collected data were standardized according to live game time (min⁻¹). Repeated-measures correlation analysis was applied to examine the relationships between external load and performance, while mixed-effects models were used to compare external load differences between better- and worse-performing groups (classified by Player Value). Results: The correlations between external load and performance indicators were trivial to small. Accelerations (ACC) were significantly associated with the greatest number of performance indicators (e.g., points, rebounds, 1-point made, key assists), while rebounds were significantly correlated with the largest number of external load metrics (e.g., total distance, low-intensity active distance, high-intensity active distance); however, all correlations remained at the small level (r = 0.16–0.24). No significant differences in external load were observed between players of differing performance groups (p > 0.05). Conclusions: In elite 3 × 3 basketball, external load reflects players’ involvement and effort rather than serving as a primary determinant of game performance. This study provides new empirical evidence on the characteristics of 3 × 3 basketball, suggesting that coaches and strength and conditioning practitioners should adopt a comprehensive perspective when evaluating performance, with external load being more suitable for training regulation and fatigue monitoring. Full article

This study aims to evaluate the effects of repeated mechanical recycling on the properties of a novel aliphatic polyketone composite reinforced with 15 wt% and 30 wt% glass fibers (PK15GF and PK30GF), providing insights into its potential for sustainable engineering applications. The investigation focuses on three main aspects: changes in melt flow index (MFI) and viscosity, the influence of glass fiber content on thermal and mechanical stability, and the retention of structural integrity and crystallinity under multiple processing cycles. Composites, commercially available since 2019, were subjected to single- and five-cycle recycling with 100% reprocessed content. Comprehensive characterization—including tensile testing, Differential Scanning Calorimetry (DSC), Dynamic Mechanical Analysis (DMA), Fourier Transform Infrared Spectroscopy (FT-IR), Melt-Flow Index (MFI), Differential Thermal Analysis (DTA), and mechanical tensile testing—revealed filler-dependent alterations in morphology, thermal stability, and crystallinity. MFI decreased from 100.56 to 42.63 g/10 min for PK15GF, indicating pronounced chain scission, recombination, and crosslinking, whereas PK30GF decreased only from 89.00 to 59.76 g/10 min. FT-IR spectra confirmed greater crosslinking in PK15GF, while DSC and DMA demonstrated smaller T_g and ΔHm variations in PK30GF (T_g +0.45 °C, ΔHm −13.93 J·g⁻¹) versus PK15GF (T_g +1.13 °C, ΔHm −69.24 J·g⁻¹). These findings reveal that higher glass fiber content mitigates degradation, preserves structural integrity, and maintains thermal and viscoelastic stability, establishing clear correlations between filler content, mechanical performance, and recyclability. Overall, this work provides mechanistic insights into degradation pathways and demonstrates the potential of glass fiber-reinforced aliphatic polyketones for sustainable, high-performance engineering and automotive applications. Full article

Background: Hypertrophic cardiomyopathy (HCM) is a heterogeneous myocardial disease in which conventional prognostic models, primarily focused on sudden cardiac death, often fail to identify patients at risk of clinically relevant events such as heart failure progression or rehospitalization. Cardiopulmonary exercise testing (CPET) quantifies functional capacity, while stress echocardiography (SE) provides mechanistic insights into exercise-induced hemodynamic changes. Their combined application (CPET–SE) may enhance risk stratification in patients with HCM. Methods: In this retrospective study, 388 patients with obstructive and non-obstructive HCM (mean age 48 ± 15 years, 63.1% male) underwent baseline CPET–SE between 2010 and 2022 and were followed for a median of 7.4 years [IQR 4.3–10.2]. Echocardiographic parameters were assessed at rest and peak exercise, and CPET indices included peak oxygen consumption (pVO₂), ventilatory efficiency, and anaerobic threshold. The primary outcome was a composite of heart failure hospitalization or progression to end-stage HCM. Results: Over a median follow-up of 7.4 years, 63 patients (16.2%) experienced an event of the primary outcome. Patients who developed a primary outcome had greater left atrial diameter (45.0 vs. 41.0 mm, p < 0.001) and indexed volume at rest (36.4 vs. 29.0 mL/m², p < 0.001), with further dilation during stress (p = 0.046); increased LV wall thickness (p = 0.001); higher average E/e′ at rest and during stress (p ≤ 0.004); and higher pulmonary artery systolic pressure at rest (p = 0.027) and during stress (p = 0.044). CPET findings included lower pVO₂ (16.0 vs. 19.5 mL/kg/min, p = 0.001), reduced % predicted pVO₂ (p = 0.006), earlier anaerobic threshold (p = 0.032), impaired ventilatory efficiency (p = 0.048), and chronotropic incompetence (p < 0.001) in patients who experienced a primary outcome. Multivariable analysis identified dyslipidemia (OR 2.58), higher E/e′ (OR 1.06), and lower pVO₂ (OR 0.92) as independently associated with the primary outcome. Conclusions: CPET–SE provided a comprehensive evaluation of patients with HCM, associating aerobic capacity to its hemodynamic determinants. Reduced pVO₂ showed the strongest association with adverse outcomes, while exercise-induced diastolic dysfunction and elevated pulmonary pressures identified a high-risk phenotype. Incorporating CPET–SE into longitudinal management of patients with HCM may enable earlier detection of physiological decompensation and guide personalized therapeutic strategies. Full article

Target tracking in integrated sensing and communication (ISAC) systems faces critical challenges due to complex interference patterns and dynamic resource allocation between radar sensing and wireless communication functions. Classical tracking algorithms struggle with the non-Gaussian noise characteristics inherent in ISAC environments. This paper addresses these limitations through a novel hybrid ISAC-LSTM architecture that enhances Extended Kalman Filter performance using intelligent machine learning corrections. The approach processes comprehensive feature vectors including baseline EKF states, ISAC-specific interference indicators, and innovation-based statistical occlusion detection. ISAC systems exhibit fundamental symmetry through dual sensing–communication operations sharing identical spectral and hardware resources, requiring balanced resource allocation, where ${\alpha }_{\mathrm{sensing}}+{\alpha }_{\mathrm{comm}}=1$. The proposed hybrid architecture preserves this functional symmetry while achieving balanced performance across symmetric dual evaluation scenarios (normal and extreme conditions). Comprehensive evaluation across three realistic deployment scenarios demonstrates substantial performance improvements, achieving 21–24% RMSE reductions over classical methods (3.5–3.6 m vs. 4.6 m) with statistical significance confirmed through paired t-tests and cross-validation. The hybrid system incorporates fail-safe mechanisms ensuring reliable operation when machine learning components encounter errors, addressing critical deployment concerns for practical ISAC applications. Full article