Search Results (21,947)

As oil and gas development increasingly targets low and ultra-low permeability reservoirs, conventional recovery techniques often prove insufficient for mobilizing residual oil. Surfactant flooding, a key chemical enhanced oil recovery (EOR) technology, thus requires careful system optimization and mechanistic investigation. This study focuses on low-permeability reservoirs in the Changqing Oilfield, evaluating three surfactant systems—YHS-Z1 (a 7:3 mass ratio blend of hydroxypropyl sulfobetaine and cocamide),YHS-Z2 (a polyether carboxylate, a nonionic-anionic composite) and a middle-phase microemulsion system (Heavy alkylbenzene sulfonate and hydroxysulfobetaine were combined with a mass ratio of 7:3)—through a series of experiments including interfacial tension measurement, contact angle analysis, static and dynamic oil displacement tests, as well as emulsion transport/retention index assessments, to comprehensively characterize their oil displacement properties. Based on the experimental data, this study constructed four classical regression models: Ridge Regression, Random Forest (RF), Gradient Boosting Regression (GBR), and Support Vector Regression (SVR), and conducted a comparative analysis of their predictive performance. The results demonstrate that the Random Forest (RF) model achieved the optimal prediction performance, with a Mean Absolute Error (MAE) of 1.8245, a Mean Absolute Percentage Error (MAPE) of 4.78%, and a coefficient of determination (R²) of 0.9428 on the training set. Further analysis using the SHapley Additive exPlanations (SHAP) algorithm revealed that the retention index is the primary global factor (accounting for 49.79% of the variance), while significant intergroup differences exist in the primary factors across different surfactant systems. Concurrently, single-factor and multi-factor sensitivity analyses were conducted to elucidate synergistic effects and threshold behaviors among parameters. The optimal parameter combination, identified via a random search method, achieved a predicted recovery factor of 45.61%, representing a 6.57% improvement over the highest experimental value. This study demonstrates that machine learning methods can effectively identify the dominant factors in oil displacement and enable synergistic parameter optimization, thereby providing a theoretical foundation for the efficient development of surfactant flooding in low-permeability reservoirs. Full article

Objective: The aim of this case series was to investigate the safety and efficacy of vancomycin–gentamicin embedded PMMA beads (VGPB) in the setting of acute pyogenic soft tissue infections (STIs) of the extremities. Materials and Methods: A retrospective study of 19 cases diagnosed with pyogenic STIs of the lower or upper extremity in two academic institutions was conducted between January 2017 and December 2023. All patients underwent surgical debridement, systemic antibiotics and intrawound deposition of vancomycin and gentamicin embedded cement beads (2 g of vancomycin plus 1 g of gentamicin diluted in 40 g of PMMA). Upon second look (4th–7th day post-index surgery) the cement beads were removed, serum samples from the surgical site of infection and from peripheral blood were obtained and the concentration of eluted vancomycin and gentamicin was measured. Furthermore, the white blood cell count (WBC), C reactive protein serum levels (CRP) and erythrocyte sedimentation rate (ESR) were measured before the surgical debridement and after the end of the bead therapy. All patients were reevaluated after discharge with a mean follow-up of 4.4 years (range, 1 to 7.6). Results: Wound vancomycin and gentamicin levels were significantly higher than those measured in the serum (34.01 ± 4.47 μg/mL versus 11.96 ± 2.79 μg/mL, p < 0.001 and 5.75 ± 1.22 μg/mL versus 0.51 ± 0.14 μg/mL, p < 0.001 respectively). Serum vancomycin and gentamicin concentrations were below the level of toxicity and no adverse events related to antibiotic-embedded bead treatment were documented. Serum WBC, ESR and CRP levels before debridement (13,446 ± 935.7 c/μL, 42.3 ± 18.7 mm/h and 113.9 ± 20.26 mg/L respectively) were significantly higher than those after the end of treatment (7889 ± 1203.6 c/μL, p < 0.001; 30.3 ± 9.14 mm/h, p = 0.017; and 22.7 ± 6.68 mg/L, p < 0.001 respectively). Two cases (10.5%) had a local recurrence of their STIs. Both of them relapsed within 4 months after their treatment and both had Gram-negative pathogens. Conclusions: Vancomycin–gentamicin PMMA bead pouch therapy appears to be a safe and effective adjuvant treatment for pyogenic soft tissue infections, offering high local antibiotic availability without systemic adverse effects. Full article

Heavy metals in lake sediments represent typical persistent contaminants characterized by recalcitrance, bioaccumulation potential, and delayed toxic effects, thereby exerting sustained adverse impacts on lacustrine ecosystem stability and human health. Liuye Lake is a representative small-to-medium urban lake impacted by ambient domestic sewage discharge and agricultural non-point source pollution, with documented nitrogen and phosphorus enrichment. However, the contamination profile of heavy metals in its surface sediments has not been systematically investigated to date. In this work, surface sediment samples were collected from Liuye Lake, and nine heavy metal elements (As, Cd, Cr, Cu, Hg, Mn, Ni, Pb, Zn) were determined. An integrated approach incorporating Monte Carlo simulation, the geo-accumulation index (I_geo), and the enrichment factor (EF) method was employed to assess the ecological risk and human health risk imposed by these metals. The results revealed the following: (1) Average concentrations of eight heavy metals exceeded the background values of the Dongting Lake water system, with the exception of As, and Hg displayed potential localized anomalies. (2) Surface sediments were collectively categorized as slightly contaminated, with Hg identified as the primary pollutant, followed by minor contamination of Mn, Cr, and Ni; Monte Carlo simulation further suggested a probable risk that Mn contamination could progress to moderate levels. (3) All heavy metals posed low potential ecological risk, with an overall potential ecological risk index (RI) of 62.71, where Cd, Hg, and As were the dominant contributors. (4) Both non-carcinogenic and carcinogenic risks were generally within acceptable limits, whereas children exhibited higher non-carcinogenic susceptibility relative to adults; As and Mn were the leading contributors to non-carcinogenic risk, while Cr and As dominated carcinogenic risk. This study offers a scientific foundation for the prevention and control of heavy metal pollution and the ecological management of urban lakes. Full article

Eutectic solvents have become a viable choice to create innovative pharmaceutical technologies within the framework of the green chemistry approach. Despite the growing applicative interest, a general gap remains in the pharmaceutical sector regarding thorough and systematic research of their properties and useful applications. In this work, eutectic solvents have been prepared from choline chloride and polyols (sorbitol, xylitol, mannitol, and isomalt) at different molar ratios (1:1, 2:3, and 3:2), characterised, and used for the solubility enhancement of poorly water-soluble drugs (ibuprofen and naproxen) as well as the potential drug candidate apigenin. The interactions between the eutectic solvent components were investigated by DSC, FTIR, and refractive index methods. In all eutectic solvents, the water content detected by Karl Fischer titration and loss on drying was less than 3%. Solubility studies, carried out using the shake-flask method, showed significant solubility enhancement of the following: ibuprofen: ~152-fold increase, naproxen: ~144-fold increase, and apigenin: ~188-fold increase. These findings highlighted the great potential of eutectic solvents as solubility enhancers in the development of novel and more effective drug delivery systems. Full article

Brosimum alicastrum Swartz is a forest species with substantial potential for animal and human nutrition. However, its nutritional attributes and commercial applications are poorly disseminated and structurally underdeveloped. This study examines the relationship between scientific research and the commercialization of Brosimum alicastrum products in Mexico, integrating bibliometric analysis with a value network approach to identify market constraints and opportunities. Scientific publications indexed in Scopus from 1961 to 2024 were analyzed to characterize research trends, documented uses, and the geographic distribution of knowledge production. In parallel, companies commercializing Brosimum alicastrum-based products in Mexico were surveyed during 2024 using a value network approach (suppliers, customers, complementors, and competitors). A SWOT analysis was conducted to assess the structural strengths and vulnerabilities affecting market development. The results show that research in Mexico has primarily focused on the species’ properties as a functional food. At the same time, limited attention has been given to silviculture, commercialization strategies, and value-chain governance. Although Brosimum alicastrum products are currently positioned within premium market segments, business continuity is constrained by unstable supply systems that rely almost exclusively on seasonal wild collection from natural distribution areas. Both the value network and the SWOT analysis identified supply instability as the main factor limiting market expansion. Therefore, advancing research on the silviculture of Brosimum alicastrum is essential to support the establishment of managed production systems and commercial plantations capable of ensuring a stable, year-round supply of raw material. These developments would facilitate access to new market niches and enhance the biocultural and ethnobotanical value of Brosimum alicastrum as a functional and medicinal food resource within Mexico’s emerging bioeconomy. Full article

Intralogistic activities play a critical role in sustaining uninterrupted manufacturing in production systems. With the increased usage of autonomous mobile robots (AMRs) to feed the production systems; a complex problem structure has emerged that includes the simultaneous evaluation of the sizing of the robotic fleet, task assignment and scheduling, as well as feasibility analysis of the investment. In this study, a complete decision-support frame is proposed to decide the minimum number of robots, plan the time index robot-line assignments and calculate the Cost Ratio for multiline manufacturing systems without starvation. In the proposed method, the total robot travel time, plant layout, operation times and safety factors are given as inputs to the time-indexed mixed-integer linear programming (MILP). In the literature, the fleet sizing and the scheduling problems are mostly handled separately. These highly related problems are integrated into one frame in this study. The method is validated by utilizing two worst case scenarios for an uninterrupted operation with changeable batteries and mandatory charging break. The results demonstrate that charging strategies have a huge impact on the number of minimum robots, operational applicability and economic performance. Full article

Background/Objective: Buccal delivery offers a potential route to circumvent gastrointestinal degradation and hepatic first-pass metabolism, but hydrophilic peptides typically exhibit limited mucosal permeation. Nanostructured lipid carriers (NLCs) have been proposed as delivery platforms capable of modulating interfacial interactions and improving mucosal transport. This study aimed to quantitatively evaluate the ex vivo buccal permeation of angiotensin II (Ang II), used as a hydrophilic peptide model, when associated with NLCs compared with free peptide under matched Franz diffusion cell conditions. Methods: Ang II-associated NLCs were prepared by melt emulsification combined with a low-energy injection technique. Particle size, polydispersity index, and zeta potential were determined by dynamic light scattering and laser Doppler electrophoresis. Association efficiency and drug loading were quantified by indirect spectrofluorometric analysis. Ex vivo permeation studies were conducted using porcine buccal mucosa mounted in Franz diffusion cells, and cumulative permeation, steady-state flux, and apparent permeability coefficients were calculated. Results: The NLCs exhibited nanometric size, moderate polydispersity, and association efficiency above 80%, and remained colloidally stable at 4 °C for 28 days. In ex vivo experiments, Ang II-associated NLCs showed measurable cumulative permeation, reaching approximately 9% after 2 h, whereas free Ang II was not detected in the receptor compartment under the tested conditions. Conclusions: This work provides a quantitative ex vivo buccal transport comparison of a hydrophilic peptide model delivered as NLC-associated versus free peptide under matched Franz cell conditions. The findings support further investigation of NLC-based approaches for buccal delivery of vasoactive peptides and provide a rational basis for future in vivo evaluation of mucosal delivery performance and systemic exposure. Full article

M. crystallinum is an edible halophytic succulent plant rich in phenolic compounds with potential pharmaceutical applications. However, it is known that these phytocompounds generally present low absorption, which hinders their direct use in formulations. Therefore, delivery systems, such as phytosomes, can be regarded as a potential strategy to overcome this disadvantage. This study aimed, for the first time, to prepare extracts from the ice plant using different solvents and to incorporate them into phytosomes. Physicochemical characterization of these phytosomes, their antioxidant activity, as well as the quantification and in vitro release profile of their phenolic and flavonoid compounds were studied. Different extraction solvents were assayed, and Ethanol:Acetone (80:20) achieved a strong antioxidant activity (reaching ca. 71.16%), extracting 3200.3 mg of GAE/100 g and 761.7 mg of QE/100 g of phenolic and flavonoid compounds, respectively. The phytosomal formulation exhibited a mean particle size of 233.80 nm, a polydispersity index of 0.23, and a zeta potential of −27.27 mV. Furthermore, a high encapsulation efficiency (96.63%) of the extracts in the phytosomes was obtained. The in vitro release test indicated that the antioxidant activity was retained, reaching a maximum of 42%, accompanied by a release of 51% of the flavonoid content at the end of the 3 h assay, under the experimental conditions. These findings highlight the potential of phytosomes formulated with Mesembryanthemum crystallinum extract as a delivery system for antioxidant phytochemicals. Full article

Infrastructure drainage projects play a critical role in urban development but are increasingly exposed to environmental, operational, and climate-related risks that challenge their long-term sustainability. Despite this, decision-makers continue to lack risk-informed, structured methods to assess sustainability performance in an uncertain environment. In order to facilitate evidence-based decision-making and sustainable risk management, this study suggests a risk-informed sustainability index for infrastructure drainage projects. The study first points out a weakness in the methods currently used for sustainability assessments, specifically the lack of risk-sensitive, standardized frameworks designed for drainage infrastructure systems. Altogether, 28 sustainability indicators are identified, with 22 indicators retained after the application of fuzzy set theory criteria. The sustainability index is developed by normalizing, weighting, and combining these indicators using a multi-criteria decision analysis (MCDA) method. To show the usefulness and practicality of the suggested approach in assessing sustainability performance and pinpointing risk-critical improvement areas, it is used for a long-term infrastructure drainage project. In order to improve infrastructure resilience, the findings emphasize the significance of early integration of sustainability and risk considerations, stakeholder engagement, and ongoing performance monitoring. The suggested approach offers a flexible and transferable framework for risk-informed decision-making, assisting engineers, project managers, and policymakers in enhancing the resilience and sustainability of infrastructure drainage systems. Full article

Background: Vertebral fractures are the most common osteoporotic fractures and are frequently underdiagnosed. Although prior fragility fractures increase the risk of subsequent fractures, the magnitude and distribution of extremity fracture risk following vertebral fractures remain incompletely defined. Objective: The objective of this study is to evaluate the risk of subsequent extremity fractures following vertebral fractures in adults aged ≥ 50 years and to characterize fracture patterns and timing. Methods: A systematic review was conducted using three databases (PubMed, OVID, and Scopus) covering studies published between January 2005 and December 2025. Studies reporting subsequent extremity fractures after an index vertebral fracture in adults aged ≥ 50 years were included. Data extraction included patient demographics, fracture characteristics, treatment variables, and incidence of subsequent fractures. Results: Eight studies were included in the qualitative (narrative) synthesis, comprising a total of 488,770 patients with an index vertebral fracture. The reported incidence of subsequent extremity fractures ranged from 1.4% to 12.4%, with a crude aggregated incidence of 6.90% (33,605 patients). Hip fractures accounted for 73.3% of extremity fractures, followed by forearm/wrist (11.8%), humerus (10.3%), and ankle fractures (3.26%). Most subsequent extremity fractures occurred within 1–3 years after the index vertebral fracture. Additionally, 23,542 patients (4.82%) experienced subsequent vertebral fractures. Rates of dual-energy X-ray absorptiometry utilization and pharmacologic treatment ranged from 5% to 34.5%. Conclusions: Vertebral fractures in adults aged ≥ 50 years are strong predictors of subsequent extremity fractures, particularly hip fractures, with risk concentrated in the early post-fracture period. These findings support the concept of a systemic fracture cascade and emphasize the need for early detection and structured secondary prevention strategies. Full article

Background: Frailty has been linked with systemic inflammation in elderly oncology patients. In this paper, we report the results of an analysis evaluating the association between blood cell biomarkers of inflammation and frailty in patients with operable non-small-cell lung cancer (NSCLC). Methods: A retrospective analysis was performed on patients undergoing surgery for NSCLC between March 2022 and March 2023. Frailty was assessed using the modified Frailty Index-5 (mFI-5) and 11 (mFI-11). Inflammation was evaluated using the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune–inflammation index (SII), and systemic immune–inflammation response index (SIRI), all calculated from preoperative assessments. Results: In this sample of surgical NSCLC patients (n = 106), frailty prevalence was 29.2% with mFI-11 and 17% with mFI-5. The log of the neutrophil-to-lymphocyte ratio (logNLR) emerged as the most significant predictor of frailty (OR of 3.13, 95% CI: 1.12–9.09, p = 0.03 for mFI-11 and 3.82, 95% CI: 1.28–11.11, p = 0.02 for FI-5). The platelet-to-lymphocyte ratio (PLR) was predictive only in the model assessing mFI-5. Furthermore, both the NLR and PLR showed an inverse linear correlation with frailty severity, a finding that remained consistent regardless of age, gender, disease stage, nutrition status, or comorbidity burden. Conclusions: Frail patients with operable NSCLC exhibit distinct inflammatory response patterns compared with those observed in non-frail lung cancer patients. Using these biomarkers could help identify patients suitable for preoperative interventions that could improve their postoperative course. However, further studies are needed to explore these preliminary findings prospectively and to understand the causal relationship between the observed association with frailty status and severity. Full article

Background and Objectives: Despite critically low levels of chronic kidney disease (CKD) awareness worldwide, there is no psychometrically validated instrument to comprehensively assess CKD awareness across socioecological levels. This study aimed to develop, psychometrically evaluate and validate a multidimensional awareness scale grounded in socioecological theory for patients with stage 3–4 CKD. Materials and Methods: This methodological study enrolled 908 stage 3–4 CKD patients. Scale development proceeded through systematic stages: comprehensive literature review, qualitative interviews (n = 15), expert panel evaluation (n = 25), and pilot testing. The initial 72-item pool was refined to 41 items (Content Validity Index = 0.912). The sample was randomly split for exploratory factor analysis (EFA; n = 454) and confirmatory factor analysis (CFA; n = 454). Psychometric evaluation encompassed internal consistency (Cronbach’s α, McDonald’s ω), test–retest reliability (n = 30; 4-week interval), convergent validity (average variance extracted [AVE], composite reliability [CR]), discriminant validity (Fornell–Larcker criterion), and criterion validity (correlation with Turkish Health Literacy Scale-32 [TSOY-32]). Results: EFA revealed a seven-factor structure with an acceptable explained variance of 43.8%. Following iterative item elimination based on communalities (h² < 0.20) and factor loadings (λ < 0.30), CFA confirmed the final 34-item model with good fit (CFI = 0.972; RMSEA = 0.070 [90% CI: 0.067–0.074]). The factor structure captured awareness across core socioecological levels (Individual, Interpersonal/Institutional, Community, and Systemic), complemented by Treatment Adherence and Social Impact dimensions. Internal consistency coefficients were α = 0.884 and ω = 0.889 for the total scale. Test–retest reliability yielded an ICC of 0.954 (95% CI: 0.907–0.978). Convergent and discriminant validity were confirmed via composite reliability (CR: 0.740–0.953) and the Fornell–Larcker criterion. Criterion validity analysis revealed a significant correlation with TSOY-32 (r = 0.810, p < 0.001). Conclusions: The CKD Awareness Scale (CKD-AS-34) represents a novel, psychometrically validated, multidimensional awareness instrument for CKD. This scale enables clinicians to identify awareness deficits spanning individual to systemic levels, facilitating personalised patient education and targeted public health interventions. Full article

The objective of the present study is to evaluate the effects of lactation stage, age, somatic cell count (SCC), and daily milk yield on plasmin–plasminogen (PL–PG) system activity and physicochemical milk traits in intensively reared Chios and Frizarta ewes. A total of 52 purebred ewes (26 ewes per breed and farm) were randomly selected and prospectively monitored during the 3rd, 5th, and 6th month post-lambing. Daily milk yield and body condition score (BCS) were recorded, and individual milk samples were collected for the assessment of PL–PG activities using enzymatic assays, SCC, electrical conductivity (EC), refractive index (RI), and pH. Correlation analysis and mixed linear regression models were used for the assessment of the effects. Lactation stage significantly affected PL–PG system traits in both breeds, but in opposite direction; plasmin and plasminogen plus plasmin declined toward late lactation in Chios ewes, whereas it increased in Frizarta ewes. Lower SCC was associated with reduced plasmin system activity in Chios ewes, whereas no effect was observed in Frizarta ewes. The plasminogen-to-plasmin ratio remained stable across lactation, breeds, and SCC classes, indicating coordinated regulation of the system. BCS was positively associated with plasmin activity during late lactation, suggesting a stage-dependent metabolic modulation. EC and pH were closely associated with SCC, while RI mainly reflected compositional variation. Our findings underline that, although the PL–PG system is primarily affected by lactation stage and mammary health status in sheep, there are breed-specific regulatory patterns which should be further investigated. Full article

Historical small towns (HSTs) embody irreplaceable cultural heritage and territorial identity, facing depopulation, economic marginalization, and infrastructure decay. Improving their liveability and attractiveness is essential to reverse these trends and boost sustainable development. In this context, HSTs are potential drivers of circular and sustainable socio-technical systems, where the circular economy (CE) offers a framework for local sustainability. However, HSTs lack adequate sustainable CE implementation tools. This study, the culmination of the H-SMA-CE project, develops a Decision Support System (DSS) to assist local policymakers in planning CE transitions in Italian HSTs. The DSS integrates three building blocks: context analysis (metabolic flows, stakeholder networks), an intervention library with cost–benefit data, and a composite Municipal Circular Economy Index (MCEI). The tool enables users to assess baseline circularity, simulate scenarios, and identify optimal investment portfolios through multi-objective optimization. This approach allows for the simultaneous evaluation of the benefits of each sustainability aspect, i.e., environmental, economic and social. Tested on the municipality of Taurasi (Italy), an HST with a wine-based economy, the results show that balanced intervention strategies yield greater circularity improvements than single-objective approaches. The paper contributes to the discourse on digital tools for sustainability transitions, offering a replicable model for evidence-based CE governance in heritage-rich territorial contexts. Full article

Background/Objectives: Depression is a common and consequential comorbidity among adults with diagnosed diabetes. Prior research has largely emphasized individual health behaviors, with less attention to emotional burden, social context, or theory-driven interpretation. The Multi-Theory Model (MTM) of Health Behavior Change offers an integrative framework for examining behavioral, emotional, and environmental correlates of health outcomes. This study applied MTM to examine correlates of lifetime diagnosed depression among U.S. adults with diagnosed diabetes. Methods: This cross-sectional study analyzed 2023 Behavioral Risk Factor Surveillance System (BRFSS) data from 19,967 adults with diagnosed diabetes, representing approximately 30 million U.S. adults after survey weighting. Lifetime diagnosed depression was assessed based on respondents reporting that a health professional had told them they had a depressive disorder, representing a lifetime history of depression rather than current depressive symptoms. Independent variables were organized into behavioral, emotional, and environmental domains consistent with MTM. Survey-weighted descriptive analyses, Rao–Scott χ² tests, and nested survey-weighted logistic regression models were conducted. Results: The weighted prevalence of lifetime diagnosed depression among adults with diagnosed diabetes was 24.3%. In the fully adjusted MTM-guided model, emotional and environmental domains showed the strongest associations with lifetime diagnosed depression. Frequent mental distress was associated with substantially higher odds of depression (adjusted odds ratio ≈ 10.4, p < 0.001). High social or economic stress and fair or poor self-rated health remained independently associated (p < 0.001). Behavioral factors, including physical activity, smoking, and body mass index, were attenuated after adjustment. Conclusions: Lifetime diagnosed depression among adults with diagnosed diabetes was more strongly associated with emotional burden and adverse social conditions than with health behavior alone, supporting the integration of distress screening and context-responsive interventions into diabetes care. Full article