Search Results (4,397)

Siltation in irrigation canals adversely affects overflow capacity and accessibility, making its identification crucial for dredging, prevention, and maintenance, among other purposes. In this study, the siltation risks of Golmud irrigation canals were assessed from three perspectives: hydrodynamic impact, anthropogenic impact, and greening impact. The assessment factors included sediment deposition risk, bed erosion risk, proximity to public administration and services, proximity to residential areas, proximity to commercial services, and proximity to green spaces. The entropy weight method and TOPSIS method were employed to calculate the comprehensive siltation risk level, with model validation confirming a high overall accuracy of 94%. The results showed that among the six factors, proximity to public administration and services had the greatest influence on siltation, with a weight of 0.29. Additionally, the most vulnerable siltation locations were primarily in the city center, reflecting the susceptibility of urban areas to anthropogenic activities. This study develops a rapid and objective risk-scanning tool that couples hydrodynamics with land-use factors, providing a standardized technical pathway for the checking of large-scale urban infrastructure. Full article

Maritime Autonomous Surface Ships (MASS) are progressing from proof-of-concept to engineering test and initial application phases due to advancements in intelligent sensing, automatic control, and communication technologies. However, numerous studies have shown that the improvement of automation level does not linearly reduce human factor risks. Instead, it exhibits more complex evolutionary characteristics at the medium automation level. In particular, MASS Level 2 (MASS L2) features a “system-dominated, human-supervised” operational mode, and its human factor risks have become one of the key factors restricting the safe operation, large-scale application and sustainable long-term deployment of autonomous ships. This study employs a systematic literature review to analyze 89 core articles (2020–2025) and summarizes the theoretical basis, risk characteristics, and evolutionary trends of human factor risk research in MASS L2. The review results indicate that the current research consensus has gradually shifted from the traditional “human error”-centered explanatory paradigm to a systematic understanding of “information mismatches, opacity, and coupling failures in the human-machine-shore collaborative system”. Typical human factor risks in MASS L2 are mainly manifested as the degradation of supervisory cognition and situation awareness, imbalance in trust in automation, vulnerability in mode switching and takeover, skill degradation, and structural risks in ship-shore collaboration. Based on these findings, this study constructs a classification system and a comprehensive analysis framework for human factor risks in MASS L2, reveals the interaction relationships and dynamic evolution mechanisms among different risk types from a system-level perspective, and further discusses the limitations of existing research in terms of methods, data, and engineering applicability. Finally, considering the development trends of autonomous ship technology, this study proposes future research directions in human factor theoretical modeling, dynamic risk assessment, system design, and operation management. This study aims to provide a systematic knowledge framework for human factor risk research in MASS L2 and offer references for the safety design, safety management, and development of higher-level automation of autonomous ships, while supporting the sustainable and safe advancement of the global intelligent shipping industry. Full article

Background/Objectives: Temporomandibular disorders (TMD) are common causes of orofacial pain, but their clinical course varies, with some patients developing persistent symptoms. Evidence supports a biopsychosocial model of pain chronification, yet prognostic factors for pain persistence in TMD remain insufficiently synthesized. This systematic review aimed to identify biological, psychological, and social predictors associated with pain persistence and chronicity in painful TMD. Methods: This review was conducted in accordance with PRISMA 2020 guidelines and registered in PROSPERO (CRD420261286566). MEDLINE, Embase, and Web of Science were searched for studies published between January 2010 and December 2025. Eligible studies included adult patients with painful TMD and assessed baseline biopsychosocial predictors of pain persistence or chronicity at follow-up ≥ 3 months. Risk of bias was assessed using QUIPS and PROBAST. Due to heterogeneity across studies, findings were synthesized narratively. Results: Six prospective cohort studies were included, with follow-up durations ranging from 6 to 24 months. Psychological factors, particularly pain catastrophizing and depression, were associated with increased risk of pain persistence. Higher baseline pain intensity and widespread pain also showed prognostic value. Sleep-related and behavioral factors demonstrated inconsistent associations, and social predictors were rarely examined. The certainty of evidence ranged from moderate for catastrophizing and pain intensity to very low for sleep-related and occlusal factors. Conclusions: Pain persistence in TMD is influenced by multiple biopsychosocial factors. Psychological variables, especially catastrophizing and depression, appear to be the most consistent predictors, although this finding should be interpreted with caution, given the small number of included studies. These findings highlight the importance of comprehensive biopsychosocial assessment in patients with painful TMD and the need for further longitudinal research. Full article

Multi-purpose platforms, which combine renewable energy generation devices and diverse functionalities, are a smart way to expand the applications of offshore platforms. An environmentally friendly multi-purpose offshore platform is proposed by the ‘Blue Growth Farm’ project, which includes a wind turbine, a set of wave energy converters, and an aquaculture system. To assess its feasibility and performance, a field experiment is conducted at an offshore site in Italy using a 1:15 scaled outdoor platform prototype. To provide comprehensive insights into the platform’s behavior, in the present work, aero–hydro–servo–elastic coupled numerical models based on the blade element method and potential flow theory are developed for various experimentally tested configurations of this multi-purpose platform. Time domain analyses are conducted to investigate the performance of the outdoor prototype platform under the recorded realistic environmental loads from the field experiment. The numerical results, including platform motion, mooring line tension forces, and wind turbine responses, agree with the corresponding experimental records. For example, the absolute mean value errors for platform roll and pitch motions are approximately 1 degree, validating the developed numerical model. Meanwhile, the present comparative study demonstrates the feasibility of the proposed multi-purpose concept and can provide a reference for similar projects in the future. Full article

As modern power systems grow increasingly complex, there is a pressing need for stability analysis methods capable of handling nonlinear dynamics while providing physically meaningful and reliable stability indices. Port-Hamiltonian (PH) frameworks have emerged as strong candidates in this regard, offering inherently stable formulations, energy-consistent representations, and modular plug-and-play scalability. However, the practical deployment of PH-based stability analysis remains hindered by the absence of reliable, high-fidelity parameter identification methods that rely on sensor measurements to capture system dynamics while remaining compatible with PH model structures. This paper addresses that gap by proposing a comprehensive three-stage data-driven identification framework for PH modeling of synchronous generators—the central dynamic component of any power system. While the IEEE Standard 115 provides established procedures for transient parameter identification, it exhibits fundamental limitations when applied to PH modeling, including single-scenario identifiability constraints, noise-sensitive derivative-based formulations that amplify sensor measurement errors, and the inability to decouple generator-internal damping from grid contributions. The proposed framework resolves these limitations through multi-scenario excitation using sensor-acquired voltage and current signals, derivative-free state consistency optimization, and physics-based regularization that enforces PH structure preservation. Complete identification of eight key parameters (H, D, $X_d$, $X_q$, $X_d^{\prime }$, $X_q^{\prime }$, $T_{do}^{\prime }$, $T_{qo}^{\prime }$) is achieved with errors ranging from 1.26% to 9.10%, and validation confirms RMS rotor angle errors below 1.2° and speed errors below 0.15%, demonstrating suitability for transient stability analysis, passivity-based control design, and oscillation damping assessment. Full article

Objectives: To systematically evaluate the efficacy and safety of intraovarian platelet-rich plasma (PRP) administration in women with diminished ovarian reserve (DOR) and related conditions, given the growing clinical interest and the conflicting evidence from uncontrolled and controlled studies. Methods: This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Comprehensive searches were performed in PubMed, Web of Science, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), and Scopus up to January 2026. Eligible studies included randomized controlled trials (RCTs), prospective cohort studies, and before–after studies investigating PRP-based interventions in women diagnosed with DOR, premature ovarian insufficiency (POI), or poor ovarian response (POR). Given the limited availability of controlled data, these populations were analyzed together with cautious interpretation. Study quality was assessed using the Joanna Briggs Institute (JBI) checklists and the Critical Appraisal Skills Programme (CASP) tool for RCTs. Pooled estimates were calculated using random- or fixed-effects models depending on heterogeneity (I²). Results: Nineteen studies involving 1794 women were included, of which two were randomized controlled trials. In single-arm and before–after analyses, PRP administration was associated with increases in serum anti-Müllerian hormone (AMH) levels and antral follicle count (AFC), as well as a reduction in serum follicle-stimulating hormone (FSH). In addition, the number of metaphase II (MII) oocytes retrieved and transferable embryos increased following PRP treatment. However, pooled analyses of controlled studies, including RCTs, did not demonstrate consistent improvements in mature oocyte yield compared with control groups. In single-arm analyses, the pooled clinical pregnancy rate and live birth rate following PRP treatment were 15.5% (95% CI: 11.1–21.2%) and 10.7% (95% CI: 6.7–16.6%), respectively. No major procedure-related adverse events were reported across included studies. Conclusions: In conclusion, intraovarian PRP is associated with improvements in ovarian reserve markers such as AMH and AFC in uncontrolled studies. However, evidence from randomized controlled trials does not demonstrate a consistent benefit in pregnancy and live birth. Well-designed RCTs with standardized protocols are needed before clinical recommendation. Full article

In recent years, the integration of advanced methods in medical imaging has become a major topic of interest due to its potential to enhance diagnostic accuracy, improve clinical efficiency, and increase specialists’ confidence in Artificial Intelligence (AI)-based decision-making. This paper explores the synthesis of Explainable AI (XAI) and Generative AI (GAI) in medical imaging, highlighting the advantages and challenges of these emerging technologies. The objective of this paper is to explore how the combined use of XAI and GAI contributes both to interpretability and to diagnostic accuracy. This research represents a systematic literature review conducted in accordance with PRISMA 2020, based on searches carried out in the PubMed, Scopus, IEEE Xplore, MDPI and ScienceDirect databases. Thus, a comprehensive overview of the integration of XAI and GAI in medical imaging is presented, based on recent studies and validated clinical applications. The advantages of combining transparency and data amplification in diagnostic models are highlighted, demonstrating their complementary roles in improving diagnosis using medical imaging. Ongoing challenges in clinical adoption are also emphasised, including interpretability and the need for validated assessment metrics. Beyond technological benefits, the paper also underlines the importance of ethical and legal considerations in the use of XAI and GAI in medical imaging. Based on the detailed analysis of the investigated studies, the paper also proposes a visual and architectural system concept intended for medical imaging, oriented towards research into the development of a unified system capable of detecting multiple types of pathologies. This research provides a detailed perspective on how XAI and GAI can revolutionise medical imaging by optimising data interpretation, enhancing human-AI collaboration, and increasing patient safety. Full article

The control of surface residual stress is paramount for ensuring the mechanical performance and longevity of machined GH2132 superalloy bolts. However, direct measurement of residual stress remains challenging. This study introduces a novel, efficient approach by establishing a quantitative correlation between Vickers hardness and residual stress based on the energy indentation method. The core hypothesis leverages the principle that residual stress modifies the indentation work; the difference in energy dissipation between stressed and stress-free states provides a direct measure of residual stress. A mathematical model relating hardness (HV) to residual stress (σ) was derived. To validate the model and unravel the underlying microstructural mechanisms, orthogonal cutting experiments were conducted. Comprehensive microstructural characterization using SEM, XRD, and metallography revealed a synchronous relationship between hardness and residual stress. Both properties increased concurrently with greater grain refinement and higher volume fraction/distribution density of carbides and γ’ phases, which impede dislocation motion and introduce micro-strain. The model predictions showed excellent agreement (R² = 92.5%) with X-ray diffraction measurements, confirming its reliability. Furthermore, the influence of cutting parameters (speed V_c, feed f, depth of cut a_p) on residual stress was analyzed. Cutting depth was identified as the most significant factor. An optimal parameter combination (V_c = 20 m × min⁻¹, f = 1 mm × rev⁻¹, a_p = 1.2 mm) was identified to maximize beneficial compressive residual stress, corresponding to the most refined microstructure. This work presents a validated, hardness-based model for residual stress assessment in GH2132 and provides a microstructure-guided pathway for optimizing machining processes to enhance component life. Full article

Background: Platelet-rich plasma (PRP) therapy is increasingly used for musculoskeletal conditions, yet patients seeking supplementary information online encounter resources of variable quality. Large language models (LLMs) such as ChatGPT and Google Gemini may support patient education, but their performance in answering common patient questions about PRP therapy has not been well characterized. Methods: This study compared the quality of responses generated by ChatGPT-4, ChatGPT-3.5, and Google Gemini to common PRP-related patient questions. Ten frequently asked PRP-related questions were identified through a structured search of online sources, PubMed, Google Trends, and AI-assisted query generation. Each question was submitted to the three LLMs using a standardized prompt designed to elicit clear and empathetic responses. Five orthopedic surgeons, blinded to model identity, assessed each answer using a previously published four-tier rating framework. Secondary metrics included exhaustiveness, clarity, empathy, and response length. Results: All models produced mostly satisfactory answers. ChatGPT-3.5 received the highest proportion of excellent ratings (70%), compared with 40% for ChatGPT-4 and 22% for Gemini, and outperformed both models in overall quality. The most common limitation across models was insufficient detail. ChatGPT-4 and Gemini performed similarly in several categories, although Gemini was rated lower in empathy and comprehensiveness. Overall differences between models were statistically significant. Conclusions: Commonly available LLMs were able to provide mostly satisfactory responses to patient questions about PRP. However, important limitations remained, particularly with respect to detail and individualization. These tools may support initial patient information-seeking, but they should complement rather than replace expert medical counseling. Full article

Virtual power plants (VPPs) aggregate flexible resources, such as distributed photovoltaics (PV), energy storage, and flexible loads, to provide substantial reserve capacity for grid operation. However, the combined effects of renewable energy output uncertainty, load forecast errors, and user-bounded rationality responses lead to significant errors in traditional deterministic VPP reserve assessment methods, severely affecting the balance between system supply and demand. To address this challenge, this paper proposes a credible reserve assessment method that accounts for user-bounded rationality. First, thermodynamic models with on–off constraints for air conditioning loads, energy feasible region, and power constraint models for electric vehicles (EVs) and energy storage systems (ESSs), as well as PV forecast error models are established to characterize physical reserve boundaries. Second, prospect theory is introduced to describe user-bounded rationality and a logit-based response probability model is developed. Monte Carlo sampling and kernel density estimation are employed to derive credible reserve sets under different confidence levels, achieving a probabilistic quantification of VPP reserve capacity distribution. Case studies demonstrate that the proposed method accurately characterizes the probabilistic distribution characteristics of VPP reserve provision under multiple uncertainties, providing comprehensive and reliable assessment information for power dispatching agencies. Full article

Background: The biopsychosocial model positions fibromyalgia (FM) as the result of altered pain modulation shaped by trauma, psychological vulnerability, and structural stressors. The Sense of Coherence (SOC) may be a key resilience factor explaining differences in symptom severity after similar hardships. Objectives: To evaluate whether SOC mediates and/or moderates associations between trauma-related adversity and symptom burden in FM and whether comorbidities, medication use, healthcare factors, or treatment engagement modify these relationships. Methods: In this cross-sectional study, 2099 women with FM completed an online survey assessing adversity, psychosocial factors, core symptoms, healthcare support, treatment engagement, and medication use. A theory-driven SOC composite followed Antonovsky’s model (comprehensibility, manageability, meaningfulness) using the proxy SOC composite derived from a theory-driven framework that underwent internal construct validation, including discriminant validity analyses and latent structure evaluation, but it was not benchmarked against a gold-standard SOC questionnaire. Linear regression evaluated adversity–symptom associations, SOC mediation, and moderation by SOC and medication classes. Results: Higher adversity predicted lower SOC (e.g., cumulative abuse: B = −0.25), and lower SOC predicted higher symptom burden (e.g., Fibromyalgia Impact Questionnaire (FIQ): B = −6.77), producing significant indirect effects (cognitive symptoms: 0.22; FIQ: 1.69). SOC also moderated the effects of adversity on fatigue and global impact, weakening associations at higher SOC. Comorbidities showed modest influence: hypertension had minor indirect effects (ab = 0.27), scheduled consultation produced small interactions (cognition β = −0.38 to −0.46; fatigue β = ~0.05–0.06), and stroke showed the only clinically meaningful moderation (β ≈ 4.9–5.2), all far smaller than SOC effects. Conclusions: SOC functions as a central psychosocial pathway and resilience-related factor in the association between trauma and FM symptoms. Targeting SOC-related processes may help reduce symptom burden and improve outcomes. Full article

Background: Cancer represents a major concern in rheumatology. Epidemiological studies have demonstrated associations between rheumatic conditions and increased cancer risk at specific sites. However, comprehensive Italian epidemiological data on this association remain lacking. Methods: We conducted a nationwide retrospective cohort study using Italian Hospital Discharge Records from patients hospitalized between 1 January and 31 December 2018, with follow-up until 31 December 2023. Adult patients with Immune-mediated inflammatory diseases (IMID), including rheumatoid arthritis (RA) and diffuse diseases of connective tissue (DDCT), were the exposed group. The unexposed group included patients with primary diagnoses of injury and poisoning, with no IMID history. We used multivariable logistic regression models to assess cancer association, adjusting for demographics, geography, time of follow-up and comorbidities. Results: We included 54,896 IMID patients (exposed) and 301,126 unexposed. During the five-year follow-up, the IMID group was significantly associated with cancer (adjusted OR 1.32, 95% CI 1.27–1.38; p < 0.001). The OR_adj decreased over time, from 1.83 (p < 0.001) in year one to 1.20 (p < 0.001) from the fifth year onward. Significant association with lung cancer (OR_adj 1.74; p < 0.001), leukemia and lymphoma (OR_adj 1.98; p < 0.001), bladder (OR_adj 1.48; p < 0.001) and melanoma (OR_adj 1.48; p = 0.009) were observed in the IMID group. DDCT patients showed an overall higher cancer risk (OR_adj 1.53, p < 0.001) than RA patients (OR_adj 1.20, p < 0.001). Conclusions: This first nationwide Italian study confirms an association with cancer in IMID patients, with the highest association in the first year post-diagnosis. The temporal decrease in cancer risk generates the hypothesis that inflammation, rather than medication, may be the primary driver. These findings support enhanced cancer surveillance in IMID patients, particularly during the first year after diagnosis. Full article

Background/Objectives: To characterize sectoral corneal thickness (CT) profiles in eyes with primary open-angle glaucoma (POAG) compared with healthy eyes and to evaluate potential associations between CT, retinal nerve fiber layer (RNFL) thickness, and optic disc rim area (RA). Methods: In this cross-sectional study, 192 participants (91 with POAG and 101 controls) contributed 297 eyes (145 glaucoma eyes and 152 control eyes). All participants underwent comprehensive ophthalmological examination and spectral-domain optical coherence tomography (OCT; Optovue Solix, Fremont, CA, USA) to obtain peripapillary RNFL measurements, optic disc rim area, and corneal pachymetry maps across five sectors (central, superior, inferior, temporal, and nasal). Repeated-measures correlation analyses were used to assess within-subject associations between CT and RA, and generalized estimating equation (GEE) models were applied to evaluate independent associations between CT, glaucoma status, disease severity, and RNFL thickness while adjusting for relevant covariates. Results: Eyes with POAG exhibited significantly thinner corneas across all sectors compared with controls (all p < 0.05), with the greatest differences observed in the superior (median 607.0 μm vs. 640.0 μm, p < 0.001) and temporal (562.0 μm vs. 579.5 μm, p < 0.001) regions. Average RNFL thickness and rim area were also significantly reduced in glaucoma eyes (all p < 0.001). However, no independent associations between sectoral CT and RNFL thickness or RA were observed after adjustment for multiple comparisons. Although nominal associations between thinner inferotemporal CT and reduced RNFL thickness were observed in unadjusted analyses, these did not remain statistically significant after false discovery rate correction. In multivariable GEE models, glaucoma diagnosis and greater disease severity were consistently associated with reduced RNFL thickness (β range: −11.0 to −42.2 μm; all p < 0.001), whereas CT was not independently associated with RNFL thickness (all adjusted p > 0.07). Conclusions: Sectoral corneal thickness is significantly reduced in eyes with POAG but does not independently correlate with RNFL thickness or optic disc rim area after adjustment for confounding factors. These findings support the concept that corneal thinning reflects structural and biomechanical susceptibility to glaucoma rather than serving as a marker of established neuroretinal damage severity. Further longitudinal studies incorporating comprehensive biomechanical assessments are warranted to clarify the role of corneal structure in glaucoma pathophysiology. Full article

Background: Societal stigma toward eating disorders and obesity remains pervasive and is associated with psychological distress, maladaptive eating behaviors, reduced help-seeking, and barriers to care. Despite its documented impact, comprehensive and psychometrically robust instruments to assess stigma—particularly in Spanish-speaking populations—are scarce. This study aimed to develop and validate a multidimensional measure of societal stigma toward eating disorders and obesity in Spain, grounded in contemporary stigma frameworks. Methods: A cross-sectional observational study was conducted in a large community sample recruited online (N = 2121). An initial pool of stigma-related items was developed based on theoretical and empirical literature and refined through expert content validation. Psychometric evaluation included item screening, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), bifactor modeling, and reliability assessment. The sample was randomly split for EFA (n = 988) and CFA (n = 658). Associations between stigma scores and sociodemographic and experiential variables were examined. Results: The final 36-item instrument demonstrated excellent psychometric properties. Bifactor analyses supported an essentially unidimensional structure dominated by a strong general stigma factor, with secondary content-specific dimensions (e.g., legitimacy, personal responsibility, visibility, and treatment beliefs). The theory-driven bifactor model showed excellent fit (CFI = 0.991; TLI = 0.990; RMSEA = 0.024). The general factor exhibited high reliability (ω_h = 0.87). Higher stigma was observed among men, older participants, and individuals without personal or familial experience of eating disorders or obesity. Conclusions: This study provides a reliable and theoretically grounded instrument for assessing societal stigma toward eating disorders and obesity in Spain. The scale enables systematic research on stigma and offers a valuable tool for public health surveillance, intervention development, and evaluation of anti-stigma initiatives aimed at promoting compassionate and equitable care. Full article

Earthquakes are rare and infrequent natural phenomena with considerable consequences for the urban environment, human life and society. Croatia is a country highly exposed to seismic risks due to its geographical location and its large stock of unreinforced masonry buildings (URM). This article proposes an assessment of their vulnerability by combining a macroseismic approach, allowing for a comprehensive analysis of a group of buildings, with detailed numerical modelling of a building in Zagreb using 3Muri 12.2 software. Three reinforcement techniques are compared in terms of their structural performance, cost, carbon footprint and compatibility with the built heritage. The study shows that each method has advantages and limitations: shotcrete is low-cost but has a high carbon impact and can be too invasive for heritage buildings; FRP offers the best structural performance but remains very expensive, while FRCM appears to be a balanced compromise, combining performance, durability and compliance with architectural conservation constraints. This article highlights the importance of adapting the approach to each situation and combining reliable assessment with appropriate reinforcement solutions. It also invites reflection on the possibility of linking seismic interventions and energy renovations to improve safety, economy, sustainability and living comfort. Full article