Search Results (2,352)

The Older People’s Quality of Life Questionnaire (OPQOL-35) is a validated tool used to measure quality of life in the older people in many countries. The study describes the linguistic validation, cultural adaption, and pilot testing of the Albanian version of the OPQOL-35 (AL-OPQOL-35) in older adults, confirming its internal consistency and reliability. The process of linguistic validation, cross-cultural verification and adaptation of the AL-OPQOL-35 questionnaire went through four stages: forward translation, backward translation, patient testing, and proofreading. The AL-OPQOL-35 instrument obtained after forward–backward translation was tested on a sample of 40 elderly people with chronic diseases and multimorbidity. The sample consisted of 75% females and the age group 65–74 makes up the highest percentage with 72.5%. The sample consisted of 25% with one chronic disease, while 75% had two or more chronic diseases. After the evaluation by a panel of experts and pilot testing, the AL-OPQOL-35 was found to be clear and understandable for older adults with chronic conditions and multimorbidity, showing good reliability with a Cronbach’s alpha α = 0.848. It is recommended to use the AL-OPQOL-35 instrument in a larger population and evaluate its psychometric properties. Full article

Background/Objectives: Adolescence is a sensitive developmental window shaped by both vulnerabilities and adaptive potential. From an evolutionary standpoint, mental health difficulties in this period may represent functional responses to environmental stressors rather than mere dysfunctions. Despite increasing interest, integrative models capturing the dynamic interplay of risk and protective factors in adolescent mental health remain limited. This study presents a holistic, multi-level framework grounded in ecological and evolutionary theories to improve understanding and intervention strategies. Methods: A two-round Delphi method was used to develop and validate the framework. Twelve experts in adolescent mental health evaluated a preliminary draft derived from the literature. In Round 1, 12 items were rated across five criteria (YES/NO format), with feedback provided when consensus thresholds were not met. Revisions were made using consensus index scores. In Round 2, the revised draft was assessed across eight broader dimensions. A consensus threshold of 0.75 was used in both rounds. Results: Twelve out of thirteen experts (92%) agreed to join the panel. Round 1 item scores ranged from 0.72 to 0.85, with an average consensus index of 0.78. In Round 2, ratings improved significantly, ranging from 0.82 to 1.0, with an average of 0.95. The Steering Committee incorporated expert feedback by refining the structure, deepening content, updating sources, and clarifying key components. Conclusions: The final framework allows for the clustering of indicators across macro-, medium-, and micro-level domains. It offers a robust foundation for future research and the development of targeted, evolutionarily informed mental health interventions for adolescents. Full article

The aquaculture sector has seen significant growth recently but also faces sustainability challenges due to the use of fish meal and fish oil. This project explored the potential of using partially defatted Hermetia illucens (black soldier fly) larvae meal (BSFL meal) as a sustainable alternative to fish meal in Sparus aurata diets. The trial was conducted with 132 fish reared in six tanks and fed two aquafeeds: a standard (CTRL) and an experimental (IF) in which fish meal was replaced (10%) with partially defatted BSFL meal. Fillets were analysed for chemical composition, elemental composition, fatty acid (FA) profile, primary and secondary oxidative products, cholesterol, pH and colour. Moreover, a panel of food experts (n = 26) was involved in a discrimination sensory test (duo–trio test) on raw and cooked fillets. The results showed no differences in chemical and physical analyses. The FA profile of IF was characterised by a significantly higher content of lauric acid (p-value 0.009) and myristic acid (p-value 0.049) than the CTRL ones. The panellists correctly identified the raw samples and found differences. On the other hand, only about 50% of the assessors correctly identified the cooked samples. The overall results suggest that partially defatted BSFL meal may represent a valid alternative for aquafeed production that could affect the sensory properties of raw fillets without altering their nutritional composition. Full article

The accuracy of modal superposition methods for determining displacement or strain field of structures largely depends on the selection of modes relevant to its deformation. Analytical methods for modal selection have been developed to minimise errors in reconstructing deformation through a linear combination of modal shapes. This study constitutes an initial step towards the development of structural health-monitoring algorithms for large engineering machines, where continuous monitoring of strain and stress, assuming a linear elastic field, is critical. The focus is on selecting modes that significantly contribute to the reconstruction of static deformation of structures. A detailed analytical approach, derived from established structural dynamics principles, leads to the formulation of modal selection criteria. These criteria are based on two fundamental quantities from dynamic and elastic theory: the modal participation factor and internal strain potential energy. Three criteria are introduced: the directional participation factor criterion (DPFC), the global participation factor criterion (GPFC), and the internal strain potential energy criterion (ISPEC). While DPFC and GPFC rely on displacements, ISPEC uses strains. The methods are validated through a case study involving a rectangular plate subjected to various loads, demonstrating their applicability to complex deformation scenarios, which require the combination of multiple modes to fully describe the static deformation. The proposed criteria are formulated for linear elastic systems and are therefore applicable, in principle, to plate-like components, machine casings, thin structural panels, and certain civil and aerospace panels, under the assumptions of small strains, linear constitutive behaviour, and validity of modal superposition. The approach also represents a first step towards the integration of modal selection with machine learning for structural health-monitoring applications and presents a computational cost significantly lower than that of full finite element analyses. Full article

Composite materials have gained prominence in aerospace engineering due to their high strength-to-weight and stiffness-to-weight ratios. However, their susceptibility to interlaminar damage, particularly delamination, remains a significant concern, especially under compressive loads. This study presents a detailed numerical investigation into the buckling behavior and delamination propagation in flat and curved composite panels with centrally located circular delaminations. Four configurations were analyzed, differing by geometry (flat vs. curved) and delamination interface. The critical buckling load was first estimated through linear eigenvalue analysis, while post-buckling behavior and damage progression were studied using a nonlinear static analysis enhanced by the Smart-time XB (SMXB) tool. Numerical results, including out-of-plane displacements and delamination length evolution, were validated against experimental data from the literature. The findings confirm the accuracy of the adopted FEM approach and highlight the beneficial role of curvature in increasing buckling resistance and improving damage tolerance, offering valuable insights for the design of aerospace composite structures. Full article

Old airplanes produced in the 1970s are still flying, while being exposed to various new types of detriments, leading to a need to repair them to enable the safe use of the airborne body. The present state of the art advocates the use of laminated composite to repair aluminum parts due to their effective durability. The studies presented in the literature mainly focused on bodies under tensile loads. It seems that shear-type loading appearing in the fuselage of airplanes when being under torsion has been ignored in literature. Therefore, to fill this gap, the present study investigates the behavior of defective aluminum panels under pure shear. The present investigation uses a novel finite element (FE) method of modelling the loaded body by 2D and 3D elements. Then, the model is used to calculate the influence of various parameters, like the size of the repair patch, overlaps, sequences of the laminated composite plate, and other structural properties on the stability and strength of the examined part. To validate the numerical predictions, tests were performed on typical elements. Based on the experimental results, the fidelity of the FE model was assessed and the method approach of repairing using composite patches was validated. The main conclusion from the present study is the use of solid (3D) elements, over shell (2D) elements, due to their high-fidelity results. Full article

This study investigates the nexus between leverage and financial performance in a sample of 54 Moroccan agricultural small- and medium-sized enterprises (SMEs) over the period of 2017–2022. Drawing on trade-off, pecking order, and agency theories, this analysis examines whether different levels of indebtedness influence performance, as measured by return on assets (ROA). Using panel data regression models, both linear and nonlinear specifications were tested to explore the potential curvature of the leverage–performance relationship. The empirical results reveal a significant and negative linear relationship between both short-term and long-term leverage and ROA, suggesting that increased indebtedness impairs financial performance. A quadratic specification reveals a persistently negative effect of short-term leverage and a U-shaped relationship between long-term leverage and ROA, indicating that performance may improve beyond certain debt thresholds. To address endogeneity concerns and validate the findings, dynamic panel estimation using the generalized method of moments (GMM) was employed, confirming the leverage’s adverse effects on performance. Thus, this study provides policy-relevant insights into optimal capital structure decisions for small agribusinesses and underscores the need for tailored financial strategies to support their sustainable development. Full article

This study develops an optimization-based scheduling framework for coordinating the energy-intensive operations of a steel enterprise with estimated solar power availability. Unlike prior approaches that focus primarily on process efficiency or carbon reduction in isolation, the proposed model integrates demand response with linear programming to improve solar utilization while respecting load priorities. The solar generation profile is derived from typical meteorological year (TMY) irradiance data, adjusted for panel efficiency and system parameters, thereby serving as an estimated input rather than measured data. Simulation results over a 31-day horizon show that coordinated scheduling can reduce grid dependence and increase solar energy utilization by up to 99% under the simulated conditions. While the findings demonstrate the potential of load scheduling for industrial decarbonization, they are based on estimated solar data and a simplified system representation. Future work should incorporate real-world solar measurements and stochastic models to address uncertainty and further validate industrial applicability. Full article

Background: Bone tissue decalcification is essential for histopathological evaluation, but conventional methods using inorganic acids degrade nucleic acids, limiting molecular testing. EDTA is known to better preserve DNA, but its suitability for next-generation sequencing (NGS) in clinical settings remains to be validated. Methods: This retrospective study evaluated 752 formalin-fixed paraffin-embedded (FFPE) tissue samples undergoing NGS between January 2022 and October 2024. Of these, 31 were decalcified using EDTA (Osteosoft, Merck, Germany). DNA was extracted using the Qiagen AllPrep^® kit and quantified using Qubit and NanoDrop. Libraries were prepared with a custom 30-gene Ampliseq panel and sequenced on the Ion Torrent platform. Sequencing was deemed suboptimal if <95% of target regions reached ≥250X depth. Results were compared to 721 non-decalcified FFPE samples. Results: Suboptimal sequencing occurred in 9.7% of EDTA-decalcified and 9.0% of non-decalcified cases (p = 0.9). DNA concentration (Qubit) and NanoDrop 260/280 ratios were not significantly different (p = 0.4 and p = 0.8, respectively), though EDTA cases had lower DNA concentrations (NanoDrop, p = 0.006) and 260/230 ratios (p = 0.002). Mutation detection in decalcified samples was consistent with known mutation profiles for respective tumor types. Conclusions: EDTA-decalcified FFPE bone tissues produce NGS results comparable to non-decalcified specimens, with similar sequencing success rates and acceptable DNA quality. These findings support the use of EDTA as a suitable decalcification method for molecular diagnostics, enabling broader inclusion of bone specimens in clinical testing. Full article

Laminated glass (LG) composite systems are increasingly being utilized in architectural and security applications due to their enhanced strength and safety features. Understanding the structural response of LG systems is crucial for optimizing their performance under blast loads. This paper presents a comprehensive study of an analytical model for predicting the static and dynamic resistance functions of various LG systems used in blast-resistant designs to advance engineering analysis and design methods. The proposed analytical model integrates the strain-rate-dependent interlayer behavior with the glass dynamic increase factors to generate a physically consistent post-fracture membrane resistance, offering a unified framework for deriving the static and dynamic resistance functions directly applicable to single-degree-of-freedom (SDOF) analyses across different LG layups. The developed models were validated statistically using full-scale water chamber results and dynamically against experimental blast field data and the results from shock tube testing. We validated the model’s accuracy for various LG layup configurations, including variations in the glass and interlayer sizes, types, and thicknesses. The established dynamic resistance model was developed by incorporating a strain-rate-dependent interlayer material model. The energy absorption of LG panels, influenced by factors like interlayer thickness and type, is critical for blast design, as it determines the panels’ ability to withstand and dissipate energy, thereby reducing the transmitted forces and deformations to a building’s structure. The dynamic model closely matched the dynamic deflection time histories, with a maximum difference of 6% for all the blast experiments. The static resistance validations across the various LG configurations consistently demonstrated reliable prediction results. The energy absorption comparisons between the analytical and quasi-static LG panel responses ranged from 1% to 17%. These advancements provide higher-fidelity SDOF predictions and clear guidance for selecting the interlayer type and thickness to optimize energy absorption. This will result in enhanced blast resistance and contribute to more effective blast mitigation in glazing system design. Full article

Virtual reality (VR) is widely used across various areas of human life. One field where its application is rapidly growing is sport and physical activity (PA). Training applications are being developed that support various sports disciplines, motor skill acquisition, and the development of motor abilities. Immersive technologies are increasingly being used to assess motor and cognitive capabilities. As such, validation studies of these diagnostic tools are essential. The aim of this study was to estimate the validity and reliability of reaction speed (RS) measurements using the Rezzil Player application (“Reaction” module) in immersive VR compared to results obtained with the SMARTFit device in a real environment (RE). The study involved 43 university students (17 women and 26 men). Both tests required participants to strike light targets on a panel with their hands. Two indicators of response were analyzed in both tests: the number of hits on illuminated targets within a specified time frame and the average RS in response to visual stimuli. Statistically significant and relatively strong correlations were observed between the two measurement methods: number of hits (r_S = 0.610; p < 0.001) and average RS (r_S = 0.535; p < 0.001). High intraclass correlation coefficients (ICCs) were also found for both test environments: number of hits in VR (ICC = 0.851), average RS in VR (0.844), number of hits in RE (ICC = 0.881), and average RS in RE (0.878). The findings indicate that the Rezzil Player application can be considered a valid and reliable tool for measuring reaction speed in VR. The correlation with conventional methods and the high ICC values attest to the psychometric quality of the tool. Full article

Postpartum lactating people are particularly vulnerable to inequities in social determinants of health (SDH), yet no validated tool currently exists to assess these factors comprehensively. This study aimed to co-develop and establish the content validity of an instrument to integratively evaluate SDH in this population. Guided by the Mixed Methods Appraisal Tool, an interdisciplinary e-Delphi panel assessed item sufficiency, clarity, coherence, and relevance. Statistical analyses included the item-level (I-CVI) and scale-level (S-CVI/Ave) content validity indices, average agreement between experts (AABE), Fleiss’ kappa (κ), and Aiken’s V coefficient (V) (p < 0.05). Cognitive interviews were conducted with postpartum lactating participants representing diverse characteristics to assess interpretability. The initial version of the instrument included 135 items across nine sections addressing general demographics, education, employment, home environment, lifestyle, social support, healthcare access, stress, intimate partner violence, insomnia, and nutrition. Based on expert input, it was refined to 131 items through structural and lexical revisions. Content validity indices indicated strong agreement: I-CVI ranged from 0.66–1.00, S-CVI/Ave > 0.95, AABE > 14.26, and κ and V > 0.90. Final adjustments following cognitive interviews led to a 128-item version optimized for clarity and relevance. This instrument offers strong content validity for SDH assessment in postpartum lactating people and supports sustainable use in health research. Full article

Objectives: Despite the importance of food environments in shaping dietary behaviors and diet-related noncommunicable diseases, no standardized and validated method has been used to assess this policy domain in China. This study aimed to benchmark China’s food retail policies against international benchmarking to identify implementation gaps and propose evidence-based strategies for improving food environments. Methods: Using the standardized and validated Healthy Food Environment Policy Index (Food-EPI), we assessed four food retail indicators: restrictive zoning for fast-food outlets (RETAIL 1), healthy food accessibility (RETAIL 2), institutional support systems (RETAIL 3), and food service promotion (RETAIL 4). A multidisciplinary expert panel (n = 13) from academia, public health, and industry conducted structured assessments using a standardized scoring tool (1–5). Scores were converted to implementation percentages and categorized into four levels. Descriptive statistics (frequencies, percentages, and mean ± SD) were summarized. Results: Sixteen food retail policies were analyzed, with 62.5% (n = 10) of provincial policies focusing on fast-food zoning and healthy food access, and 37.5% (n = 6) of national policies targeting government support and healthy food promotion. Regulations comprised 55% (n = 11), mainly addressing zoning and access, while guidelines accounted for 45% (n = 9), primarily promotional. Overall, the food retail domain was rated as low level (2.3 ± 1.1, 45.8% implementation). Among the four indicators, healthy food access in outlets (2.6 ± 1.3, 52.4%) and promotion of healthy food in services (2.5 ± 1.0, 50.8%) were at medium implementation levels. In contrast, local fast-food zoning restrictions (1.7 ± 0.6, 33.8%) and government support for healthy food (2.3 ± 1.1, 46.2%) remained at low levels. Conclusions: China’s food retail policies showed inconsistent implementation levels, with strong provincial execution in accessibility and promotion but weak national coordination in zoning and support systems. To align with the WHO and China’s goals, priorities are unified national frameworks, enforceable standards, equity-focused monitoring, and strengthened multi-sector collaboration. Full article

Background/Objectives: Aneurysmal subarachnoid hemorrhage (aSAH) is frequently complicated by cerebral vasospasm, a major contributor to delayed cerebral ischemia and poor neurological outcomes. Early prediction remains challenging, and there is a critical need for reliable biomarkers. MicroRNAs (miRNAs) in cerebrospinal fluid (CSF) have emerged as promising indicators of acute neuropathological changes. This study aimed to evaluate CSF miRNA expression profiles in patients with aSAH to identify early predictors of vasospasm and improve clinical risk stratification. Methods: We conducted a prospective observational study involving 48 patients (40 patients with aSAH (20 who developed vasospasm, 20 who did not) and 8 healthy controls). A panel of 20 candidate miRNAs was analyzed in CSF samples collected on days 1 and 5 post−hemorrhage using quantitative real−time PCR. Expression differences between groups were assessed, and receiver operating characteristic (ROC) curves were used to evaluate diagnostic performance. Results: Several miRNAs were differentially expressed in patients who developed vasospasm. On day 1, miR−221−3p and miR−183−5p were significantly upregulated (p = 0.014, p = 0.009), while miR−126, miR−29a, and miR−27b−3p were downregulated (p = 0.006, 0.021, 0.028) compared with controls. MiR−126 remained suppressed on day 5 (p = 0.002). These early changes showed high predictive accuracy (e.g., day 1 AUC for miR−221−3p ≈ 0.98, 95% CI 0.83–1.00). Compared with non−vasospasm patients, miR−221−3p was lower (0.12−fold), while miR−9−3p and miR−183−5p were higher (13.4−fold and 2.7−fold, respectively; all p < 0.01). MiR−24 and miR−21−5p correlated with more severe grades and poorer outcomes (p < 0.05). Conclusions: Specific CSF miRNAs—particularly miR−221−3p, miR−9−3p, and miR−183−5p—may serve as early biomarkers for vasospasm, warranting further validation in larger cohorts. Full article

Epithelial ovarian cancer (EOC) is the most lethal gynecologic malignancy, often diagnosed at an advanced stage due to its asymptomatic progression. The high recurrence rate and development of platinum-based chemotherapy resistance contribute to its poor prognosis. Despite advancements in molecular profiling, predictive biomarkers for chemotherapy response and recurrence risk remain limited. In this study, we developed OvarianTag™, a biomarker panel integrating apoptosis and necroptosis pathways, to predict chemotherapy benefit and disease progression in EOC patients. This observational study was conducted in two phases. In the first phase, 45 patients were recruited, and RNA was extracted from fresh ovarian tissues (normal, benign, and malignant). qRT-PCR was performed to assess the relative expression of genes involved in apoptosis and necroptosis-regulated cell death pathways. Machine learning algorithms were applied to identify the relevant prognostic markers, leading to the development of OvarianTag™. In the second phase, 55 additional EOC patients were included, and their formalin-fixed, paraffin-embedded (FFPE) tumor samples were analyzed using qRT-PCR. The classifier algorithm incorporated hierarchical clustering to stratify patients based on gene expression profiles. Significant differences in TNFRSF10C/TRAIL-R3, TNFRSF10B/TRAIL-R2, and CASP8 expression levels were observed between patient groups. CASP8 downregulation was strongly correlated with platinum resistance and a poor prognosis. Decision tree models achieved 83.3% accuracy in predicting platinum response and 79.2% accuracy in recurrence risk stratification. The OvarianTag™ classifier demonstrated high sensitivity and specificity in identifying high-risk patients, supporting its potential as a prognostic tool. The OvarianTag™ panel provides a novel approach for risk stratification in EOC, integrating apoptosis and necroptosis pathways to refine chemotherapy response prediction and recurrence risk assessment. This molecular assay has the potential to guide personalized treatment strategies, enhancing clinical decision-making and improving patient outcomes. Further validation in independent cohorts is warranted to establish its clinical utility. Full article