Search Results (3,515)

Curcumin is a natural bioactive compound of plant origin, characterised by a wide variety of properties that make it useful in numerous industries. Furthermore, due to its health-promoting properties, such as anti-inflammatory, antioxidant, and antimicrobial effects, it has found applications in medicine and animal husbandry. Unfortunately, curcumin has low bioavailability; its hydrophobic nature means it is poorly absorbed through the gastrointestinal tract, and it is rapidly metabolised in the liver. In recent years, research has been conducted into adding nanoencapsulated active ingredients, such as curcumin, to animal feed. This research aims to improve the bioavailability and stability of these ingredients, extend their shelf life, and enhance their absorption. These effects are expected to improve overall animal health, increase production efficiency, and enhance the quality of animal products. However, a significant challenge remains: the irreversible aggregation and chemical instability of bioactive substances due to the hydrolysis of their polymeric encapsulants, which can lead to toxic effects. This study utilised peripheral whole blood from five Blanc de Termonde rabbits. In vitro cell exposure was conducted using three distinct concentrations of nanoencapsulated curcumin (C1–C3: 10, 5.0, and 2.5 µg/mL) and a control. Cytotoxicity was determined by assessing viability using trypan blue exclusion, the comet assay, and the micronucleus assay. The results indicated that all tested concentrations of nanocurcumin significantly decreased the viability of blood cells to approximately 1–9%. In contrast, the encapsulation matrices themselves were not toxic (results were statistically significant). In the comet assay, the nanocurcumin formulations were toxic at all concentrations, and the results were statistically significant. Following exposure, the micronucleus assay revealed cell damage and a high percentage of apoptotic cells (up to 30% for Cur1 at 10 ug/mL). A significant number of binucleated cells with two micronuclei (BNCs + 2MN) were also observed, again for Cur1. In view of the considerable variation in the results from the individual tests, it is advisable to repeat the research using different matrix forms and concentrations of curcumin. Full article

Ecological concrete designed by empirical method does not consider the mesoscopic influence of aggregates, resulting in problems such as low strength, excessive porosity, and poor stability with different gradations, which severely restricts the development and application of ecological concrete. To achieve the refined design of ecological concrete, a mesoscopic specific surface area design method based on statistical analysis is proposed. First, the meso-aggregate model with sub-millimeter precision was established using a high-precision 3D scanner, and CloudCompare was used to calculate the specific surface area of the mesoscopic aggregate model, laying the foundation for the statistical analysis of specific surface area. Second, statistical analysis methods verified that the mean specific surface area of 20 aggregates from a single random sampling reliably estimates the mean of the overall aggregate population. Third, the optimal water–cement ratio was calculated considering the water absorption characteristics and the mortar-wrapping capacity of aggregates; standard cubic specimens were prepared using this optimal water–cement ratio, with aggregates evenly coated with mortar and no obvious mortar settlement. Fourth, the cubic compressive strength of specimens naturally cured for 7 days was tested; experimental results showed that the cubic compressive strength of specimens formed by this project’s design method increased by more than 30% compared to the empirical design method. The results indicate that using the average volume-specific surface area of 20 aggregates to assess the overall average volume-specific surface area of aggregates is both reliable and relatively efficient. Based on the reliable estimation of the overall average volume-specific surface area of aggregates derived from this method, measurements were taken of the thickness of water films adsorbed on dry aggregates and the thickness of mortar coatings on surface-dry aggregates. Further, the optimal water–cement ratio for eco-concrete was deduced, and a comprehensive set of feasible refined methods for eco-concrete mix proportion design was proposed. In contrast to the empirical method, concrete designed via the subject’s methodology exhibits a marked enhancement in compressive strength while retaining favorable pore characteristics—rendering it well-suited for deployment in the slope protection of reservoirs and ponds and thereby facilitating the realization of ecological slope protection functionality. Full article

Understanding and modeling the flow of information in human societies is essential for capturing phenomena such as polarization, opinion formation, and misinformation diffusion. Traditional agent-based models often rely on simplified behavioral rules that fail to capture the nuanced and context-sensitive nature of human decision-making. In this study, we explore the potential of Large Language Models (LLMs) as data-driven, high-fidelity agents capable of simulating individual opinions under varying informational conditions. Conditioning LLMs on real survey data from the 2020 American National Election Studies (ANES), we investigate their ability to predict individual-level responses across a spectrum of political and social issues in a zero-shot setting, without any training on the survey outcomes. Using Jensen–Shannon distance to quantify divergence in opinion distributions and F1-score to measure predictive accuracy, we compare LLM-generated simulations to those produced by a supervised Random Forest model. While performance at the individual level is comparable, LLMs consistently produce aggregate opinion distributions closer to the empirical ground truth. These findings suggest that LLMs offer a promising new method for simulating complex opinion dynamics and modeling the probabilistic structure of belief systems in computational social science. Full article

Alzheimer’s disease (AD) is characterized by amyloid-beta (Aβ) plaque accumulation and neurodegeneration. This study identified gyrophoric acid, a lichen-derived phenolic metabolite, as a dual-action Aβ42 inhibitor preventing aggregation and disassembling of mature Aβ42 fibrils. Integrated in silico studies revealed that gyrophoric acid was a strong thermodynamic stabilizer of Aβ42 (MM–GBSA: −27.3 kcal/mol) via entropically driven hydrophobic interactions and disruption of aggregation-prone conformations (100 ns MD simulations). Through biochemical analysis of the fluorescent dye thioflavin T (ThT), gyrophoric acid induced rapid Aβ42 fibril disassembly within 5 h, with time-lapse confocal microscopy quantitatively confirming the near-complete dissolution of large aggregates by 24 h. ADMET profiling revealed favorable pharmacokinetics (moderate oral absorption: 48.5–57.3%; low toxicity) and Lipinski’s rule compliance. These results establish gyrophoric acid as a promising natural bioactive compound for anti-AD therapeutics with a unique hydrophobic-stabilization mechanism. Full article

Cricula trifenestrata Helfer was recently documented on cinnamon (Cinnamomum spp.), a novel host plant in Thailand. We compared life history and behavior under natural field, semi-natural caged, and laboratory conditions on cinnamon, plus opportunistic collection from hog plum (Spondias pinnata). Laboratory rearing significantly extended development (62.30 ± 3.68 days) versus field conditions (56.30 ± 1.83 days, p < 0.001) through delayed egg and pupal stages, indicating life history plasticity. We discovered density-dependent oviposition plasticity (linear arrangements in field: 155.6 ± 84.9 eggs/batch; clustered in laboratory) and novel gregarious cocooning behavior, where 85.1% of individuals (n = 47 sites) aggregated to form communal clusters with unique reticulated architecture. Female cocoon shell ratio (CSR) was significantly higher in laboratory (5.02 ± 0.72%) and hog plum cohorts (5.30 ± 0.30%) than field conditions (3.92 ± 0.51%, p = 0.002). Opportunistic rearing yielded >2 kg fresh cocoons, with clusters reaching 0.220 kg. These findings establish biological baselines for C. trifenestrata Helfer on cinnamon, reveal sophisticated social behaviors expanding lepidopteran sociality concepts, and demonstrate commercial potential for sustainable sericulture integrated with pest management. Full article

This study examines the particle size distribution (PSD) of calcareous soils under cultivated and natural conditions in Chenggong District of Kunming, Yunnan Province, China, using single-fractal and multifractal analyses. Soil samples were collected from the profiles of both land use types, and the PSD parameters, organic matter, and total nitrogen were determined. Single-fractal analysis showed that the single-fractal dimension (D) was mainly influenced by the clay content, with higher clay fractions corresponding to larger D values. The generalized dimension spectrum revealed clear differences between natural and cultivated soils: natural soils exhibited greater sensitivity to probability density weight index(q) changes and a more compact particle distribution, whereas cultivation led to broader PSD ranges and higher heterogeneity. The ratio D₁/D₀ was negatively correlated with the clay content, and multifractal spectrum asymmetry (Δf) indicated that fine particles dominate the variability in deeper layers. Compared with natural soils, cultivated soils had higher organic matter and total nitrogen, reflecting the influence of fertilization and tillage on the soil aggregation and PSD. These findings demonstrate that fractal theory provides a sensitive tool for characterizing soil structural complexity and land use impacts, offering a theoretical basis for soil quality assessment and the sustainable management of calcareous soils. Full article

Perilla seed oil (PSO) possesses various physiological functions, such as lowering blood lipids and preventing cancer; however, its poor water solubility, dispersibility, and oxidative stability severely limit its application scope. Epigallocatechin gallate (EGCG) is a natural antioxidant abundant in tea leaves. In this study, PSO–casein–EGCG microemulsions were prepared, and their stability and lipid-lowering effects were evaluated. The results showed that the PSO microemulsion had a particle size of 361.23 ± 14.85 nm, a zeta potential of −20.77 ± 0.68 mV, a polydispersity index (PDI) of 0.17 ± 0.07, and an encapsulation efficiency of 94.3%. PSO microemulsions remained stable at room temperature for 5 days without droplet aggregation. The stability of the microemulsions was good when the NaCl concentration was between 0.1 and 1 mM and the pH was between 5 and 9. PSO microemulsions enhanced the oxidative stability of PSO. Additionally, PSO microemulsions significantly reduced triglyceride levels in Caenorhabditis elegans (77.50%, p < 0.005). Finally, it was found that the average lipid droplet size of ZXW618 mutant nematodes decreased by 41.23% after PSO microemulsion treatment. Therefore, PSO microemulsions may reduce fat accumulation in C. elegans by decreasing lipid droplet size. This provides new insights for advancing the application of PSO in the food processing industry. Full article

Endocytic uptake and lysosomal localization are suggested to be the key mechanisms underlying the toxicity of metal oxide nanoparticles (MONPs), with dissolution in the acidic milieu driving the response. In this study, we aimed to investigate if MONPs of varying solubility are similarly sequestered intracellularly, including in lysosomes and the role of the acidic lysosomal milieu on toxicity induced by copper oxide (CuO) nanoparticles (NPs), nickel oxide (NiO) NPs, aluminum oxide (Al₂O₃) NPs, and titanium dioxide (TiO₂) NPs of varying solubility in FE1 lung epithelial cells. Mitsui-7 multi-walled carbon nanotubes (MWCNTs) served as contrasts against particles. Enhanced darkfield hyperspectral imaging (EDF-HSI) with fluorescence microscopy was used to determine their potential association with lysosomes. The v-ATPase inhibitor Bafilomycin A1 (BaFA1) was used to assess the role of lysosomal acidification on toxicity. The results showed co-localization of all MONPs with lysosomes, with insoluble TiO₂ NPs showing the greatest co-localization. However, only acute toxicity induced by soluble CuO NPs was affected by the presence of BaFA1, showing a 14% improvement in relative survival. In addition, all MONPs were found to be associated with large actin aggregates; however, treatment with insoluble TiO₂ NPs, but not soluble CuO NPs, impaired the organization of F-actin and α-tubulin. These results indicate that MONPs are sequestered similarly intracellularly; however, the nature or magnitude of their toxicity is not similarly impacted by it. Future studies involving a broader variety of NPs are needed to fully understand the role of differential sequestration of NPs on cellular toxicity. Full article

This study investigates the fracture behavior of recycled aggregate concrete by integrating fractal theory and empirical modeling to quantify how recycled coarse aggregates (RCAs) and recycled fine aggregates (RFAs) influence crack complexity and maximum crack width under varying content and loads. The results reveal distinct scale-dependent behaviors between RCA and RFA. For RCA, moderate dosages enhance fractal complexity (a measure of surface roughness) by promoting micro-crack proliferation, while excessive RCA reduces complexity due to matrix homogenization. In contrast, RFA significantly increases both fractal complexity and crack width under equivalent loads, reflecting its susceptibility to micro-scale interfacial transition zone (ITZ) degradation. Non-linear thresholds are identified: RCA’s fractal complexity plateaus at high loads as cracks coalesce into fewer dominant paths, while RFA’s crack width growth decelerates at extreme dosages due to balancing effects like particle packing. Empirical models link aggregate dosage and load to fractal dimension and crack width with high predictive accuracy (R² > 0.85), capturing interaction effects such as RCA’s load-induced complexity reduction and RFA’s load-driven crack width amplification. Secondary analyses further demonstrate that fractal dimension correlates with crack width through non-linear relationships, emphasizing the coupled nature of micro- and macro-scale damage. These findings challenge conventional design assumptions by differentiating the impacts of RCA (macro-crack coalescence) and RFA (micro-crack proliferation), providing actionable thresholds for optimizing mix designs. The study also advances sustainable material design by offering a scientific basis for updating standards to accommodate higher recycled aggregate percentages, supporting circular economy goals through reduced carbon emissions and waste diversion, and laying the groundwork for resilient, low-carbon infrastructure. Full article

Gout is a chronic inflammatory disease characterized by the deposition of monosodium urate (MSU) crystals within joints, leading to recurrent acute flares and long-term tissue damage. While various hypotheses have been proposed to explain the self-limiting nature of acute gout attacks, we posit that aggregated neutrophil extracellular traps (aggNETs) play a central role in this process. This review focuses on the mechanisms underlying MSU crystal-induced formation of neutrophil extracellular traps (NETs) and explores their dual role in the clinical progression of gout. During the initial phase of acute flares, massive NET formation is accompanied by the release of preformed inflammatory mediators, which is a condition that amplifies inflammatory cascades. As neutrophil recruitment reaches a critical threshold, the NETs tend to form high-order aggregates (aggNETs). The latter encapsulate MSU crystals and further pro-inflammatory mediators within their three-dimensional scaffold. High concentrations of neutrophil serine proteases (NSPs) within the aggNETs facilitate the degradation of soluble inflammatory mediators and eventually promote the resolution of inflammation in a kind of negative inflammatory feedback loop. In advanced stages of gout, MSU crystal deposits are often visible via dual-energy computed tomography (DECT), and the formation of palpable tophi is frequently observed. Based on the mechanisms of resolution of inflammation and the clinical course of the disease, building on the traditional static model of “central crystal–peripheral fibrous encapsulation,” we have expanded the NETs component and refined the overall concept, proposing a more dynamic, multilayered, multicentric, and heterogeneous model of tophus maturation. Notably, in patients with late-stage gout, tophi exist in a stable state, referred to as “silent” tophi. However, during clinical tophus removal, the disruption of the structural or functional stability of “silent” tophi often leads to the explosive reactivation of inflammation. Considering these findings, we propose that future therapeutic strategies should focus on the precise modulation of NET dynamics, aiming to maintain immune equilibrium and prevent the recurrence of gout flares. Full article

This study investigates the synthesis of zeolite from kaolinite-rich saprolite from Al-Habala Area, Saudi Arabia, providing insights on kaolinite as an economically viable precursor for zeolite formation. This study was conducted using hydrothermal rectors with a 0.5 M Na₂CO₃ solution at temperatures of 150 °C, 200 °C, and 250 °C over a duration of 336 h. At 150 °C, the dissolution of the clay and feldspar grains began, forming amorphous silica, from which mordenite rods formed. Increased temperatures promoted the formation of cubic analcime crystals at 200 °C to well-developed trapezohedron aggregates at 250 °C. The mineralogical transformations were characterized using SEM, XRD, and ICP-OES analyses, revealing the role of temperature on the morphologies, compositional alteration, and decreasing Na concentrations correlating with the formation of analcime. The newly formed analcime closely matched the composition of natural analcime from different basins. The results confirm that saprolite can effectively serve as a medium for zeolite synthesis, highlighting its potential for cost-effective industrial applications and expanding the understanding of kaolinite-to-zeolite conversion pathways. Full article

This paper reviews various emerging alternative SCMs derived from minerals and biomass sources, industrial byproducts, and underutilized waste streams. The paper compiles and evaluates physicochemical properties, reaction mechanisms in cementitious systems, resource availability, supply chain dynamics, technology readiness, the impact on concrete performance, and environmental and cost factors for each candidate SCM. Specifically, the review examines wood ash from bioenergy plants, volcanic and sedimentary natural pozzolans, and construction and demolition waste. This includes recycled concrete fines, asphalt plants’ rock dust (baghouse fines), aggregate production fines, and post-consumer waste, particularly municipal solid waste incinerator ash and wastewater sludge ash. Additionally, the paper explores innovative additives such as cellulose and chitin nanomaterials and calcium–silicate–hydrate nanoseeds to address challenges of slower strength development and rheological changes. The key contribution of this review is a multifactor framework for assessing alternative SCMs, emphasizing availability, supply chain, market readiness, and environmental performance, combined with an engineering performance review. Full article

Accurately modelling and simulating the stiffness modulus of asphalt mixtures is essential for reliable pavement design and performance prediction under varying environmental and loading conditions. The preceding is commonly achieved through master curves, which relate stiffness to loading frequency at a reference temperature. However, conventional master curves face two primary limitations. Firstly, temperature is not treated as a state variable; instead, its effect is indirectly considered through shift factors, which can introduce inaccuracies due to their lack of thermodynamic consistency across the entire range of possible temperatures. Secondly, conventional master curves often encounter convergence difficulties when calibrated with experimental data constrained to a narrow frequency spectrum. In order to address these shortcomings, this investigation proposes a novel formulation known as the Thermo-Stiffness Integration (TSI) model, which explicitly incorporates both temperature and frequency as state variables to predict the stiffness modulus directly, without relying on supplementary expressions such as shift factors. The TSI model is built on thermodynamics-based principles (such as Eyring’s rate theory and activation free energy) and leverages the time–temperature superposition principle to create a physically consistent representation of the mechanical behaviour of asphalt mixtures. This manuscript presents the development of the TSI model along with its application in a case study involving eight asphalt mixtures, including four hot-mix asphalts and four warm-mix asphalts. Each type of mixture contains recycled concrete aggregates at replacement levels of 0%, 15%, 30%, and 45% as partial substitutes for coarse natural aggregates. This diverse set of materials enables a robust evaluation of the model’s performance, even under non-traditional mixture designs. For this case study, the TSI model enhances computational stability by approximately 4 to 45 times compared to conventional master curves. Thus, the main contribution of this research lies in establishing a valuable mathematical tool for both scientists and practitioners aiming to improve the design and performance assessment of asphalt mixtures in a more physically realistic and computationally stable approach. Full article

Catalase, a pivotal antioxidant enzyme, plays a central role in converting hydrogen peroxide (H₂O₂) into oxygen and water, thereby safeguarding cells from oxidative damage. In patients with diabetes, obesity, Alzheimer’s disease (AD), and Parkinson’s disease (PD), catalase becomes increasingly susceptible to non-enzymatic glycation, resulting in enzyme inactivation, oxidative stress, and defective mitochondrial function. This review uniquely emphasizes catalase glycation as a converging pathological mechanism that bridges metabolic and neurodegenerative disorders, underscoring its translational significance beyond prior general reviews on catalase function. In patients with metabolic diseases, glycation impairs β-cell function and insulin signaling, while in patients with neurodegeneration, it accelerates protein aggregation, mitochondrial dysfunction, and neuroinflammation. Notably, the colocalization of glycated catalase with amyloid-β and α-synuclein highlights its potential role in protein aggregation and neuronal toxicity, a mechanism not previously addressed. Therapeutically, targeting catalase glycation opens up new avenues for intervention. Natural and synthetic agents can be used to protect catalase activity by modulating glyoxalase activity, heme integrity, or carbonyl stress. Vitamins C and E, along with agents like sulforaphane and resveratrol, exert protection through complementary mechanisms, beyond ROS scavenging. Moreover, novel strategies, including Nrf2 activation and receptor for advanced glycation end products (RAGE) inhibition, are showing promise in restoring catalase activity and halting disease progression. By focusing on glycation-specific mechanisms and proposing targeted therapeutic approaches, this review positions catalase glycation as a novel and clinically relevant molecular target in patients with chronic diseases and a viable candidate for translational research aimed at improving clinical outcomes. Full article

Postpartum uterine involution in cattle involves complex morphological and immunological changes essential for restoring uterine health and fertility. This study evaluated endometrial biopsies collected at four postpartum time points to characterize tissue remodeling and immune cell dynamics during involution. Histology revealed intact luminal columnar epithelium in 92.98% of samples, with stable stromal architecture. Stromal edema decreased by Day 7 but increased again by Day 35, while endometrial gland numbers significantly rose at Day 35, suggesting glandular recovery linked to resumed cyclicity. Subepithelial collagen deposition peaked on Day 21, indicating active extracellular matrix remodeling. Immunologically, early postpartum was marked by increased PMNs and macrophages, whereas Day 21 showed peak infiltration of natural killer (NK) cells and T and B lymphocytes, sometimes forming lymphoid aggregates. Manual and automated immune cell quantifications correlated well. These findings demonstrate a dynamic shift from acute neutrophil-dominated inflammation to a lymphocyte-rich environment during uterine involution. This immune modulation may contribute to the earlier diagnosis of subclinical endometritis, typically identified at later stages of postpartum period. Overall, this study provides insight into the temporal immunomorphological events supporting uterine recovery, with potential implications for reproductive management in dairy cattle. Full article