Search Results (4,875)

Magnesium ammonium phosphate cement (MAPC) exhibits rapid setting, high early strength, and potential resistance to elevated temperatures, making it a promising material for rapid repair and fire-resistant applications. Gold tailings (GT), which contain thermally stable Si- and Al-rich components, show potential for improving the high-temperature performance of MAPC. However, the mechanisms by which GT affects the residual performance and phase evolution of MAPC after exposure to elevated temperatures remain insufficiently understood. In this study, GT was used to replace the total binder in MAPC mortar at mass replacement levels of 0%, 10%, 20%, and 30%, while the MgO/NH₄H₂PO₄ mass ratio in the remaining binder was kept constant. The effects of GT content on the workability of MAPC mortar, as well as its visual appearance, mechanical properties, mass loss rate, phase evolution, and microstructure after exposure to elevated temperatures, were investigated. The results showed that GT incorporation shortened the setting time and reduced the fluidity and room-temperature strength. After exposure to elevated temperatures, the GT-containing specimens exhibited higher strength retention and lower mass loss rates. After exposure to 1000 °C, the compressive strength of the specimen containing 30% GT reached 15.37 MPa, which was approximately 44.0% higher than that of the specimen without GT. Its flexural strength retention and mass loss rate were 47.42% and 9.84%, respectively. XRD and SEM results indicated that the formation of high-temperature residual phases, including Mg₃(PO₄)₂, Mg₂SiO₄, and aluminosilicates, may contribute to the improvement of the residual matrix structure after exposure to elevated temperatures. Overall, GT incorporation improved the residual mechanical properties of MAPC after exposure to elevated temperatures, and the specimen containing 30% GT showed comparatively superior performance within the experimental scope of this study. These findings provide a reference for the resource utilization of GT in MAPC-based heat-resistant repair materials. Full article

In the treatment of high-salinity wastewater, the removal of nitrogen and organic pollutants remains a challenge, while the production of value-added compounds, such as ectoine from halophilic bacteria, offers a promising resource recovery pathway. In this study, halophilic activated sludge enriched with Thauera as the dominant strain was cultivated in a sequencing batch reactor (SBR) to treat synthetic high-salinity wastewater (30 g/L NaCl) under different sludge retention times (SRTs). The optimal nitrogen and organic carbon removal performances were achieved at an SRT of 10 days, with an ammonia nitrogen removal rate of 77.67% and a total organic carbon (TOC) removal rate of 72.51%. Ectoine production was strongly SRT dependent, as volumetric ectoine concentration was ~2 mg/L at 5 d SRT, almost undetectable at 10 d SRT, ~10 mg/L at 16 d SRT, and peaked at 21.5 mg/L at 22 d SRT. Short SRTs favored dynamic ectoine utilization for osmoprotection and metabolic stability, whereas long SRTs led to passive ectoine accumulation and deteriorated treatment performance. The system realized stable short-cut heterotrophic nitrification with negligible nitrite and nitrate accumulation, indicating direct conversion of ammonia to gaseous nitrogen. These results demonstrate that SRT regulation effectively balances ectoine synthesis and pollutant removal, providing a feasible strategy for resource-oriented treatment of high salinity wastewater. Full article

This study examines the relationship between insurance market development and economic performance measured by GDP per capita levels in mature OECD economies, focusing on whether insurance depth, market size, and life insurance structure have distinct long-run implications. Although the insurance–income nexus is documented in developed and emerging markets, the literature rarely separates the qualitative depth of insurance use from the mechanical size of the sector relative to GDP, and seldom examines life insurance structural features such as retention and foreign participation within a non-stationary panel framework; this study addresses that gap. Using a balanced panel of 33 OECD countries from 2011 to 2021, the analysis applies panel time-series methods that account for non-stationarity, cointegration, cross-sectional dependence, and heterogeneous country dynamics. The results show that total insurance density is positively associated with GDP per capita, and life insurance density remains positive and significant across the long-run estimators, suggesting that more intensive insurance use remains economically relevant even in advanced financial systems. By contrast, life insurance penetration is negatively associated with GDP per capita, even after accounting for its mechanical link to GDP. Life insurance retention also enters negatively, while foreign insurer participation shows no statistically significant association in the panel. The findings support a depth-not-size interpretation of the long-run association between insurance market structure and income levels in mature OECD markets, and suggest that policy attention should shift from expanding insurance-sector scale toward improving efficiency, risk allocation, and market sophistication. These results reflect long-run associations within the OECD panel and should not be interpreted as evidence of direct causal effects. Full article

Objectives: The aim of the present systematic review and meta-analysis is to compare bracket adhesion failure rates between resin-modified glass ionomer cement (RMGIC) and conventional resin adhesives (CRA) during fixed orthodontic treatment (OT), based on evidence from randomized controlled trials (RCTs). Methods: The research question is “Is there a difference in bracket adhesion failure rates between RMGIC and CRA?” The study was performed in accordance with the PRISMA guidelines. A comprehensive literature search was performed across multiple databases without time or language restrictions through February 2026. Keywords were used in different combinations using Boolean operators. Hand searching was performed and disagreements were resolved via discussion. The risk of bias (RoB) and certainty of evidence (CoE) were assessed using the Cochrane risk of bias tool and Grading of Recommendations Assessment, Development and Evaluation approach, respectively. Quantitative data synthesis was conducted using a random-effects model to calculate pooled odds ratios and 95% confidence intervals. Results: Seven RCTs met the inclusion criteria. Bracket failure rates ranged from 5.95% to 15.0% for RMGIC and 3.4% to 25.0% for CRA. The pooled meta-analysis revealed no statistically significant difference in bracket failure between the two adhesive types (OR = 1.00; 95% CI: 0.60 to 1.67), although substantial statistical heterogeneity was observed (I² = 69.0%, p = 0.0065). One included trial demonstrated significantly improved retention for RMGIC when combined with a specific enamel deproteinization conditioning step prior to bonding. Three studies had a low RoB and the remaining were judged as having “some concerns”. The overall CoE was low. Conclusions: Based on the currently available randomized evidence, no statistically significant difference in bracket adhesion failure rates was observed between RMGIC and CRA during fixed OT. However, given the low CoE, substantial heterogeneity among studies, and relatively short follow-up periods, these findings should be interpreted with caution. Further well-designed randomized controlled trials with longer follow-up are needed to provide more definitive conclusions. Full article

Integral membrane proteins (IMPs), which constitute 50–60% of drug targets, play essential roles in numerous biological processes but remain underrepresented in conventional bottom-up and structural proteomics owing to their hydrophobicity and resistance to proteolysis. Although advances in IMP proteomics have improved global IMP detection, most efforts focus on proteome-scale protein identification rather than targeted structural analysis. Protein footprinting and cross-linking, two approaches in structural proteomics, require high sequence coverage and protein digestion to peptides of suitable length for structural elucidation, necessitating optimized digestion condition for individual IMPs. Here, we report a digestion protocol tailored for structural mass spectrometry and evaluate its performance by using a single amphipathic IMP model featuring distinct extramembrane and transmembrane domains. We evaluated the use of various protease–additive combinations and applied filter-aided sample preparation (FASP) to remove detergents and surfactants efficiently prior to MS analysis. The optimized conditions consistently yielded >90% sequence coverage. Guided by MS retention time calibration and hydrophobic factor simulations, we identified a “sweet spot” for transmembrane peptide detection. Notably, although cleavable surfactants can enhance proteome-wide coverage, our results show that they are not essential for single protein studies as they are in structural proteomics. Instead, detergent removal, protease selection, and generation of suitably sized peptides are critical for enabling reliable bottom-up structural analysis of IMPs. The protocol developed here provides a practical framework for optimizing digestion conditions in IMP characterization. Full article

Eutric Regosols are globally important but low-fertility soils with poor nutrient retention, limiting crop productivity and increasing environmental risks. This study evaluated whether combining a moderate reduction in synthetic nitrogen (N) fertilizer with organic manure application could rapidly improve soil fertility, sustain maize yield, enhance nitrogen use efficiency (NUE), and increase yield resilience in these soils. A four-year field experiment was conducted on a purple soil (Eutric Regosol) with five treatments: no N (CK), conventional synthetic N (CN), a 20% synthetic N reduction (OP), and the OP treatment combined with 3000 (OPM1) or 6000 (OPM2) kg ha⁻¹ of organic fertilizer. Maize yield, yield components, NUE indices, soil properties, and net economic benefits (NEB) were measured. OP alone reduced yield by 7.57% compared to CN. OPM2 progressively increased yield, surpassing CN by 12.36% after four years, and indicated greater yield resilience during a high-rainfall year. OPM2 also significantly improved topsoil organic matter (+12.9%), total N (+46.3%), and NUE indices over time. Although initial NEB was lower for organic-amended treatments, OPM2 achieved higher economic returns than CN in the latter two years. Integrating a 20% synthetic N reduction with 6000 kg ha⁻¹ of organic manure is an effective strategy for rapid fertility improvement in Eutric Regosols. This approach compensates for yield reductions from less synthetic N, progressively enhances yield and NUE, improves soil health, increases economic returns, and strengthens buffering capacity against high-rainfall events. Full article

The objective of this study was to evaluate the impacts of varying inclusion levels of soybean hull pellets (SHP) with annual ryegrass baleage (BAL) on animal performance and digestive kinetics in beef cattle. In Experiment 1 (Exp. 1), 60 weaned mixed-sex beef calves were randomly assigned to one of three treatments: 0.0%, 0.5%, or 1.0% body weight (BW) SHP with ad libitum access to BAL for 48 days (d). Animal performance, including BW, dry matter intake (DMI), and average daily gain (ADG), was evaluated for the duration of the study. In Experiment 2 (Exp. 2), six ruminally cannulated beef steers received the same treatments utilized in Exp. 1. Steers were dosed with ytterbium (Yb)-labeled BAL to evaluate ruminal passage rate across three 24 d periods. All data were analyzed using SAS 9.4. In Exp. 1, total BAL intake decreased in calves supplemented with SHP, while cumulative ADG increased from 0.30 (0.0% BW SHP) to 0.54 (0.5% BW SHP) and 0.74 kg/d (1.0% BW SHP), respectively. Final BW at D47 also increased as SHP inclusion increased. In Exp. 2, ruminal retention time decreased from 38.0 h (0.0% BW SHP) to 15.1 h (1.0% BW SHP), while cecum-to-proximal colon passage rate did not differ among treatments (p = 0.06). Baleage DMI did not differ between treatments. Results suggest that SHP supplementation improved calf performance despite reduced BAL intake in Exp. 1, with the greatest cumulative ADG observed in calves supplemented with 1.0% BW SHP. In Exp. 2, 1.0% BW SHP produced the greatest effects on passage rate kinetics, while BAL DMI was unaffected by SHP supplementation. Full article

Background/Objectives: This prospective, randomised controlled trial aimed to evaluate whether using a real-time feedback device during basic life support (BLS) training for laypersons improves chest compression quality immediately after training and at the four-month follow-up. Methods: Participants were randomly assigned to a control group (standard BLS training) or an intervention group (BLS training with a real-time feedback device). All participants completed a standardised 2-h BLS course, followed by a 4-min practical assessment immediately after training and at the four-month follow-up. The primary outcomes were chest compression rate and depth, while the secondary outcomes were correct hand position, full chest recoil and flow fraction. These compression parameters were compared within and between groups at both time points. Results: Data from 101 participants were analysed. Both groups showed significantly decreased mean and adequate compression rates over time, but only the intervention group demonstrated significantly better performance at follow-up. The mean compression depth was approximately 5 cm in both groups; however, the proportion of adequate compression depth was low and did not differ significantly within or between groups. Correct hand position was consistently higher in the intervention group across both assessments. Full chest recoil improved in both groups, whereas flow fraction increased only in the control group. Conclusions: Incorporating real-time feedback devices into layperson BLS training leads to superior performance in selected chest compression parameters, particularly compression rate and hand position. Therefore, real-time feedback devices can be a valuable adjunct to standard BLS training to enhance skill retention over time. Full article

Sequential data prediction is a crucial area in healthcare. Healthcare data have the characteristics of non-stationarity, long-range dependence (LRD), and irregular sampling. Modeling these complex temporal features is highly challenging. Recurrent Neural Networks (RNNs) and their variants are limited in learning long-range dependencies (LRDs) due to the inherent issues of vanishing and exploding gradients. Transformers alleviate this limitation by using the self-attention mechanism. Its quadratic computational complexity and memory bottleneck limit its scalability in long-range healthcare data. In this context, Structured State Space Models (SSMs) have emerged as a promising alternative. Compared with conventional RNNs, they can alleviate the difficulty of modeling LRDs more efficiently, and many modern SSM variants achieve linear time sequence modeling while reducing the computational burden associated with Transformers. In this review, we provide a formal definition of Healthcare Process Modeling, compare the core theoretical frameworks of RNNs, Transformers, and SSMs, trace the architectural evolution of SSM architectures, and provide a comprehensive review of healthcare applications and open challenges, including LSSL, S4, S5, Mamba, and their related variants. Existing studies suggest that structured SSMs are promising for selected long-sequence healthcare prediction tasks, particularly when computational efficiency and long-context retention are important. With these advantages, they may help alleviate the computational burden in certain healthcare tasks and provide a basis for further exploring the practical application of data-driven healthcare systems in clinical practice. Full article

Background/Objective: Topical therapy remains a cornerstone in managing fungal infections due to the deep-seated nature of the pathogens and the persistence of the disease. Ketoconazole (KTZ) is a broad-spectrum antifungal agent, but its highly lipophilic nature presents considerable challenges in developing effective topical formulations. Additionally, oral KTZ has been subject to labeling restrictions and market withdrawal due to its association with severe hepatic adverse effects. This study was conducted to design, optimize, and evaluate KTZ-loaded nanolipid carriers (NLCs; KTZ-NLCs) as a delivery platform that could improve cutaneous bioavailability and enhance antifungal activity. Methods: The optimized KTZ-NLCs were further incorporated into a mucoadhesive system (KTZ-NLCs-C) through the inclusion of Carbopol^® 940 NF, aiming to improve the retention of the formulation on the skin surface. NLCs were characterized in terms of their physical appearance, particle size, polydispersity index, zeta potential, pH, viscosity, drug content, and entrapment efficiency. The optimized KTZ-NLC and KTZ-NLCs-C formulations were subsequently assessed for in vitro drug release, ex vivo skin permeation and deposition, as well as in vivo skin irritation. Results: In vitro release studies revealed that nanocarrier systems provided a sustained release of KTZ over 24 h. The ex vivo transdermal flux and permeability coefficient of KTZ from the lead KTZ-NLCs-C formulation were approximately 2.8-fold greater than those achieved with the marketed cream formulation. The in vivo skin irritation studies indicate that NLC-based formulations are suitable for topical applications. The lead formulation was stable for 90 days (the final time point evaluated) under refrigerated and room-temperature storage conditions. Conclusions: These findings suggest that the NLC-based system is a promising platform for the topical delivery of KTZ and has the potential to enhance the therapeutic outcomes for patients with superficial fungal infections. Full article

Phenolic compounds, particularly secoiridoids derived from oleuropein and ligstroside, are the main determinants of the antioxidant capacity and health-promoting properties of virgin olive oil, yet their content is strongly affected by processing conditions. This study aimed to enhance phenolic enrichment in Picual olive oil through mild acidification of the paste. Four olive samples were processed under a Central Composite Design varying malaxation time (40–80 min), acid concentration (0.02–0.08 mol/kg paste), and acid type (ascorbic or malic), across two maturity indices (MI) per acid, and evaluated by Response Surface Methodology. Ascorbic acid outperformed malic acid for most of the evaluated responses, with the majority of the monitored parameters exhibiting progressive improvements with increasing acid concentration across the tested range. Extraction efficiency reached 75.8–80.0%, increasing with ripening, malaxation time, and acid dose. Acidification did not affect standard quality parameters but enhanced pigment retention (up to 18.9 mg/kg carotenoids; 28.9 mg/kg chlorophylls) and selectively increased oleuropein- and ligstroside-derived secoiridoids. Antioxidant capacity correlated with phenolic content, reaching 1177.9 µmol Trolox equivalents/kg at high acid concentration and medium–high malaxation times. The optimal acid dose depended on MI, with higher doses favoring riper fruit. Overall, in the Picual cultivar, mild acidification is an effective strategy to enrich the antioxidant fraction of olive oil without compromising its quality. Full article

Temperature and pressure are critical controlling parameters in the in situ conversion process (ICP) of oil shale. Clarifying the mechanisms governing organic matter pyrolysis is essential for reliably extrapolating laboratory findings to geological conditions. This review systematically summarizes the effects of temperature and pressure on shale pyrolysis and on hydrocarbon generation kinetics. Temperature is the primary factor controlling pyrolysis rates and product distribution, with an optimal temperature window enhancing shale oil yield while suppressing secondary cracking. Low heating rates favor thorough pyrolysis, although their influence on reaction pathways is generally overlooked in current kinetic models. Pressure effects are stage-dependent: during organic matter conversion, they are minor, whereas, in the product expulsion stage, high pressure inhibits hydrocarbon expulsion, prolongs residence time, and promotes secondary cracking, thereby reducing overall oil yield while increasing light fractions. Discrepancies in reported pressure effects arise from variations in experimental systems, sample forms, and medium conditions. The coupling of temperature and pressure is synergistic rather than additive. Given that current kinetic models largely neglect pressure and heating-rate effects, and that temperature–pressure coupling mechanisms remain unclear, future research should focus on thermal simulation experiments across wide ranges of pressures and heating rates, complemented by ReaxFF molecular dynamics to elucidate reaction pathways and guide kinetic model development. Further in situ experiments under high-temperature and high-pressure conditions are needed to characterize coupled pore evolution and fluid migration. Ultimately, integrated thermo-hydro-mechanical-chemical (THMC) models should be developed to capture hydrocarbon generation, retention, and expulsion, providing a robust theoretical framework for optimizing ICP technology. Full article

In the current higher education landscape, students frequently resort to “cramming” or massed study practices, which often lead to superficial learning and rapid information decay rather than long-term memory (LTM) consolidation. This systematic review aims to analyze the evidence on the effectiveness of neurodidactic strategies based on spaced learning for LTM consolidation in university contexts. Following the PRISMA statement and the PICOS model, a comprehensive search was conducted in Scopus and Web of Science, identifying 19 empirical studies that met the eligibility criteria. The corpus was then subjected to a risk of bias assessment using RoB-2, ROBINS-I, and MMAT. The results indicate that neurodidactic strategies—categorized into operative, methodological, and socio-emotional types—are associated with improved knowledge retention in several contexts when learning episodes are distributed over time. Some studies report positive trends in retention compared to massed practice, particularly in health sciences and language learning, but the heterogeneity of methodologies and outcome measures limits definitive conclusions. Therefore, while the integration of spaced learning within a neurodidactic framework appears promising, the evidence should be interpreted as suggestive rather than conclusive, and further research is needed to confirm these observations across diverse settings. This systematic review has been registered in the Open Science Framework (OSF). Full article

Microplastics, MPs, plastic particles with dimensions between 0.1 and 5 mm, represent an important environmental pollutant. The removal of microplastics from natural and wastewater is a challenging research topic. In this regard, high-performance technical solutions must be identified, which can be based on existing treatment and purification technologies, to ensure their removal at concentration values in accordance with the legislation in force. In this study, the efficiency of removing some fractions of polyurethane microplastics, with dimensions smaller than 500 µm, from aqueous synthetic solutions with a concentration of 0.2 g L⁻¹, i.e., around 175 NTU, was evaluated. In the first stage of the study, the doses of coagulants and flocculants effective for the removal of microplastics were identified through the Jar Test. The variation in turbidity and their removal efficiencies were evaluated in the presence of classic coagulants, such as aluminum sulfate, Al₂(SO₄)₃·18H₂O, SA; iron sulfate (ferrous sulfate), FeSO₄, IS; polyaluminum chloride, [Al₂(OH)_nCl_6−n], PAC; Aloe Vera, AV, a flocculant; and activated carbon, AC, of the Norit GAC 830 W type. Classic coagulants, such as aluminum sulfate, have a good efficiency in removing microplastics, being able to provide a residual turbidity in the range of 6–10 NTU after a retention time of 50–60 min. In the second stage of the study, the removal efficiency of microplastics was tested using a laboratory pilot plant—called in the study the Smart Decantation-Filtration System, SDFS. The efficiency of the decanter was studied using Response Surface Methodology (RSM) to identify mathematical models that characterize the influence of key process variables: flow rate (A), microplastic size (B) and aluminum sulfate concentration (C) on microplastic removal efficiency. Sedimentation in the specially constructed decanter can raise the optimal value of the removal efficiency of polyurethane microplastics to 98.98%, and filtration can ensure an efficiency that reaches over 99.5%. Through this research, we aimed to identify viable solutions that can be applied to remove microplastics, MPs, from natural and wastewater. A novel element is the fact that we chose to study the removal of polyurethane, which is studied little in the literature. We identified the optimal doses of coagulants and flocculants that help sedimentation of MPs. The efficiency of an installation called Smart Decantation-Filtration System, specially designed to ensure increased efficiency in the removal of microplastics, was determined. The results obtained were encouraging. Full article

The increasing penetration of wind generation into autonomous and weakly coupled industrial microgrids requires control strategies that can maintain power-supply reliability under stochastic generation and sharply variable loads. This paper proposes an adaptive corridor-based supervisory control algorithm for a lithium-ion battery energy storage system (BESS) integrated with a wind-turbine generator. The novelty of the method is not the general use of battery storage for power smoothing but a control law that maintains the generator within a predefined active-power corridor while transferring fast and medium-duration imbalances to the battery under state-of-charge, power-limit, and response-delay constraints. Unlike PI-based smoothing, model predictive control, or fixed rule-based switching, the proposed approach uses corridor retention as the primary operating criterion and relies only on directly measurable variables. The model was implemented in MATLAB/Simulink for a 2 MW wind-turbine generator coupled with a 444 kWh/1776 kW lithium-ion battery energy storage system. Field-measurement-based simulation validation was performed in MATLAB/Simulink using industrial load data measured at an autonomous oilfield power plant; the validation scenarios included extracted step disturbances, a real multi-peak load profile, prolonged deficit operation, and a scaled configuration scenario. The algorithm compensated for 86.3–87.4% of short-term load peaks, reduced the standard deviation of generator power from 467 to 98 kW, and decreased recovery time from 6.8 to 1.6 s. Full article