Search Results (9,026)

Water composition is a key factor influencing brewing performance and beer quality due to its impact on mash chemistry, fermentation kinetics, and fermentation-derived metabolites. This study evaluated the effect of four Albanian spring waters (Bogova, Germenji, Selita, and Lajthiza), each with distinct mineral compositions, on the fermentation behaviour and physicochemical characteristics of Pale Ale beer produced under standardised brewing conditions. All beers were brewed using the same malt formulation, hopping regime, yeast strain, and fermentation parameters, with water source as the sole experimental variable. The produced worts showed only moderate differences in pH, colour, extract, free amino nitrogen (FAN), bitterness, and density, whereas alcoholic fermentation proceeded efficiently in all treatments and was completed within seven days. Final alcohol contents ranged from 5.56 to 5.70% v/v, confirming comparable fermentation performance among treatments. More pronounced differences were observed in acidity-related parameters and fermentation-derived compounds. Volatile acidity ranged from 0.19 to 0.93 g/L, with the highest values in beers produced with Selita and Lajthiza waters. Glycerol concentrations varied from 0.88 to 1.24 g/L, with Germenji beer showing the highest value, whereas acetaldehyde ranged from 3.16 to 6.04 mg/L, with the lowest concentration in Germenji beer. Pearson correlation analysis and exploratory principal component analysis (PCA) identified associations between water mineralisation and selected physicochemical and fermentation-derived beer parameters. Calcium, magnesium, conductivity, and hardness were positively associated with glycerol concentration, whereas bicarbonate concentration was associated with beer pH and acidity-related parameters. The first two principal components explained 87.7% of the total variance. Overall, the results indicate that Albanian spring waters are suitable for Pale Ale production and show that differences in water mineral composition were associated with variations in the physicochemical and fermentation-derived characteristics of the final beers. These findings highlight that brewing water should not be regarded as a neutral processing medium but rather as an important technological factor associated with differences in the physicochemical characteristics of beer, while supporting the valorisation of Albanian spring waters for geographically distinctive craft brewing applications. Full article

Microphysiological Systems (MPS) have emerged as a transformative platform in biomedical research, enabling the investigation of disease mechanisms, drug screening, and toxicity prediction by closely simulating human physiological functions. However, the rapid advancement of MPS technology has raised a series of complex ethical challenges. These include the sourcing and application of human-derived stem cells, the protection of donors’ personal and genetic data, the potential for brain organoids to develop consciousness-like characteristics, and the challenges to species boundaries posed by human–animal chimera research. Meanwhile, although regulatory authorities encourage innovation, specialized certification standards and ethical review guidelines for MPS are yet to be fully established. The lack of technical standardization and a coherent ethical governance framework remain a major bottleneck hindering the broader application and industrialization of MPS. This review systematically outlines the key ethical issues facing MPS, compares the evolution and differences in international ethical regulatory frameworks, and discusses strategies for addressing these challenges—including the establishment of dynamic ethical governance mechanisms, harmonization of international standards, and the promotion of benefit-sharing and public engagement. Finally, we highlight the need to develop a scientific, unified, and actionable ethical governance system that balances technological innovation with responsible translation, supporting the sustainable development of MPS technology. Full article

In this paper, a novel biobased phenol formaldehyde resin foam was fabricated. Specifically, lignosulfonate, a byproduct of paper and pulping, is hydroxymethylated with paraformaldehyde and then condensed with phenol to form lignosulfonate-based phenol formaldehyde (LPF) resin, subsequently undergoing foam technology to prepare LPF foam. The structures and properties of the intermediate and target products were characterized by ¹H nuclear magnetic resonance (¹H NMR) spectroscopy, gel permeation chromatography (GPC), Fourier transform infrared spectroscopy (FT-IR), thermogravimetry derivative thermogravimetry (TGA-DTG), scanning electron microscopy (SEM), compression performance test, limiting oxygen index test and thermal conductivity measurement. It was found that the prepared foam exhibited excellent mechanical and thermal properties. At a lignin substitution degree of 10%, the optimal thermal stability (at 800 °C), compressive strength (0.14 MPa) and thermal conductivity (0.0294 W/m·K) were achieved. As the lignosulfonate content gradually increases, the limit oxygen index initially showed a significant increase and then decreased. It is worth noting that when the LS substitution degree is increased to 30%, the limiting oxygen index of foam is up to 32.6%. These results underscore the application potential of industrial lignin as a promising biobased substitute in the synthesizing PF foam with excellent thermal insulation and flame-retardant properties. Full article

With the widespread application of IoT and AI technologies in the sports equipment manufacturing sector, traditional sports equipment manufacturers are facing challenges such as financial pressures, technological integration barriers, and the gradual reduction in government subsidies during digital transformation. To investigate the intrinsic mechanism of multi-stakeholder collaborative transformation, this paper, based on the bounded rationality assumption, incorporates the government, sports equipment manufacturers, and third-party digital service providers into a unified analytical framework. A tripartite evolutionary game model is constructed, systematically deriving the replication dynamic equations for each stakeholder under different strategies, and analyzing the stability of the system equilibrium point using the Jacobian matrix. This study shows that the sustainability of government subsidies depends on the trade-off between social benefits, administrative costs, and subsidy expenditures; whether manufacturers choose to cooperate is mainly influenced by the cost of self-purchased equipment, digital service fees, operation and maintenance risks, and residual value recovery; and the investment willingness of digital service providers depends on infrastructure construction costs, service revenue, and government support. Further simulation analysis shows that a higher initial willingness to cooperate can accelerate system convergence, a moderate capital interest rate helps balance the incentives of both supply and demand sides, excessively high core equipment prices will inhibit manufacturers’ willingness to cooperate, and reasonable digital service fees are key to achieving stable collaboration. This paper provides a theoretical basis for policy optimization, service pricing, and industrial collaborative governance in the digital transformation of the sports manufacturing industry. Full article

Cardiac computed tomography (CT) has evolved into a pivotal tool in precision cardiology, enabling comprehensive, non-invasive evaluation of coronary anatomy, plaque composition, vascular function, and inflammation. From calcium scoring to advanced physiological imaging, CT now integrates multiple layers of cardiovascular information within a unified diagnostic framework. Coronary artery calcium (CAC) quantification provides a robust, reproducible measure of atherosclerotic burden and refines risk estimation beyond traditional algorithms, particularly in asymptomatic individuals with an intermediate likelihood. Building upon this anatomical foundation, coronary CT angiography (CCTA) extends evaluation to the anatomical and morphological characterization of coronary artery disease (CAD), identifying both obstructive and non-obstructive plaques with high prognostic accuracy. The addition of CT-derived fractional flow reserve (FFR-CT) and stress perfusion CT (CTP) bridges anatomy and physiology, improving identification of flow-limiting stenoses and guiding revascularization decisions while reducing unnecessary invasive procedures. Beyond luminal assessment, CT-derived biomarkers such as the perivascular fat attenuation index (pFAI) have introduced a new dimension of vascular inflammation imaging, revealing residual risk even in patients without significant stenosis and suggesting novel pathways for individualized therapeutic targeting. Driven by advances in artificial intelligence and photon-counting detector technology, cardiac CT is transitioning from a purely diagnostic modality to an integrative platform for cardiovascular phenotyping. Taken as a whole, this integration of structural, functional, and biological data provides a genuinely holistic view of coronary health. In practical terms, it shifts clinical decision-making from population-based risk models toward precision-guided patient-specific strategies. Full article

This review critically analyzes bioactive compounds derived from agro-industrial by-products, including polyphenols, natural pigments, dietary fiber, prebiotics, lipids, proteins, and bioactive peptides. The review examines their chemical characteristics, major agro-industrial sources, and recovery strategies, highlighting both conventional technologies and emerging green technologies, such as ultrasound-assisted extraction, supercritical fluids, and natural deep eutectic solvents (NADESs). Across compound classes, common patterns are identified, including the importance of external plant tissues as primary biological reservoirs, as well as a methodological convergence in extraction processes despite the wide chemical diversity of the molecules. Shared challenges related to compound stability, scalability, and process efficiency are also discussed. The results demonstrate that agro-industrial by-products should be understood as complex, integrated matrices rather than isolated sources of individual compounds, thereby supporting the development of unified biorefinery schemes. Unlike previous reviews focused on individual compound classes, this review integrates multiple classes of bioactive compounds, green extraction technologies, analytical characterization strategies, and industrial valorization approaches within a circular biorefinery framework. In conclusion, this review helps bridge the current fragmented understanding of waste valorization and highlights key opportunities for the sustainable development of high-value-added functional ingredients within the framework of the circular economy. Full article

Given the prevalence of chronic wounds and soft tissue defects, which are associated with major complications such as persistent inflammation, poor vascularization, infection risk, and delayed tissue remodeling, there is a need for new materials that can overcome these limitations. Fibrin-based materials have attracted researchers’ attention for their roles in hemostasis and wound healing, as well as their biocompatibility, biodegradability, and ability to mimic the extracellular matrix. Regarding the clinical applicability of fibrin-based materials, they are currently available on the market as fibrin sealants. However, efforts are underway to improve their properties by developing hydrogels, platelet-derived fibrin matrices, and composite scaffolds that enhance mechanical stability, bioactivity, and the controlled release of cells or therapeutic agents. In addition, the number of clinical studies and registered clinical trials reflects interest in the potential applicability of fibrin-based materials in medical applications. However, the available clinical evidence remains limited for many emerging systems, and further validation is required. Although significant limitations remain, including rapid degradation, variable mechanical strength, and the need for standardized manufacturing processes, recent advances in hybrid systems and biofabrication technologies suggest promising future potential for personalized regenerative therapies. Full article

Extrusion-based three-dimensional concrete printing (3DCP) has emerged as a promising digital construction technology that requires precise control of material rheology and structural performance. This study investigates the influence of steel fibre dosage on the rheological behaviour, mechanical performance, and potential printability of cement-based materials. Mortar mixtures incorporating straight copper-coated steel fibres at dosages from 0 to 1.0% were evaluated. Rheological properties, including yield stress, plastic viscosity, thixotropy, structuration rate, re-flocculation rate, viscosity recovery, and flow index were characterised using rotational rheometry, while compressive and flexural strength were measured at 14 and 28 days. Results show that steel fibres significantly enhance structural build-up and recovery, with both static and dynamic yield stress increasing markedly with fibre dosage. Plastic viscosity and flow behaviour indicate increased resistance to flow at higher contents. Compressive strength exhibits a non-monotonic trend, reaching a maximum increase of approximately 40% at 0.2%, whereas flexural strength is improved at higher fibre dosages due to crack-bridging effects. A normalisation-based composite index was applied to integrate performance indicators. Based on rheology-derived printability implications, a practical working window was proposed, including static yield stress of approximately 280 to 400 Pa, dynamic yield stress of 70 to 160 Pa, plastic viscosity of 7 to 15 Pa·s, re-flocculation rate of 40 to 55 Pa/min and flow index of 0.6 to 1.0. Although higher fibre dosages produced higher composite index values due to dominant rheological enhancement, excessive rheological resistance may reduce practical processability. Based on the proposed working window, 0.2% steel fibre provides the most balanced performance for potential large-scale 3DCP applications. Full article

Background/Objectives: Oxidative stress is a major cause of impaired oocyte quality and early embryo development, a challenge that still needs to be addressed in assisted reproduction. Mesenchymal stem cell secretomes have been investigated as cell-free therapeutics with antioxidant activity and relevant anti-apoptotic effects. This study aimed to evaluate the effects of human amniotic membrane-derived mesenchymal stem cell-conditioned saline (AMSC-CS) as an injectable formulation on oxidative stress–related markers in ovarian tissue and preimplantation developmental outcomes. Methods: AMSC-CS was administered intravenously to female mice in a dose-dependent manner. Safety assessments were conducted to evaluate systemic and target organ toxicity within the dosage range. In vitro fertilization (IVF) outcomes and oxidative status in ovaries, oocytes, and embryos were evaluated following treatment with low, medium, and high doses of AMSC-CS (1, 3, and 5 μL/g). Results: As an injectable formulation, the safety assessments did not reveal systemic or target organ toxicity of AMSC-CS within the dosage range. Medium-to-high doses of AMSC-CS improved the expression of folliculogenesis-related genes and decreased oxidative stress and apoptosis signaling in ovarian tissue. At the high dose, AMSC-CS promoted preimplantation embryo development to the blastocyst and hatched blastocyst stages, along with improved blastocyst quality and reduced oxidative stress in oocytes and blastocysts. Conclusions: These findings suggest that AMSC-CS at medium-to-high doses, as an injectable formulation with antioxidant activity, may be a promising adjunct for assisted reproductive technologies. Full article

The production of “winter wines” in south-eastern Brazil, enabled by the double pruning technique, requires precise assessment of grape technological maturity to ensure high-quality outputs. However, conventional monitoring approaches are destructive, labor-intensive, and limited in their ability to capture vineyard spatial variability. This study aimed to develop and validate a non-destructive predictive framework for Soluble Solids (°Brix) and Titratable Acidity (TA) by integrating spatial remote sensing data with temporal agrometeorological information. Multispectral imagery was acquired via an unmanned aerial vehicle in a vineyard cultivated with Sauvignon Blanc and Syrah, from which vegetation indices were derived and combined with Growing Degree-Days to train machine learning models, including Random Forest, Multilayer Perceptron, and XGBoost. The incorporation of agrometeorological data significantly improved predictive performance compared to models based solely on vegetation indices. Among the tested algorithms, XGBoost achieved the highest accuracy, with coefficients of determination of 0.89 for °Brix and 0.77 for TA, achieved by XGBoost on an independent hold-out test set. Model interpretability analysis indicated that Growing Degree-Days and cultivar were the primary drivers of maturation dynamics, while vegetation indices refined predictions by accounting for spatial variability in plant vigor. Overall, the proposed approach represents a promising proof-of-concept framework for non-destructive maturity monitoring in precision viticulture, supporting improved monitoring of grape maturation. However, multi-season validation across diverse vineyard conditions is required to confirm its generalizability and support its application as a routine decision-support tool. Full article

Cannabidiol (CBD) has gained increasing attention as an ingredient in dietary supplements and functional foods due to its potential health-promoting properties. As a major non-psychoactive phytocannabinoid derived from Cannabis sativa L., CBD has been associated with anti-inflammatory, antioxidant, and neuroprotective effects. However, its application in nutraceutical products remains challenging because of its low and variable oral bioavailability, limited long-term safety data, and ongoing regulatory requirements. In the European Union (EU), CBD-containing products are classified as Novel Foods and require a comprehensive safety assessment before market authorisation. This review summarises current knowledge on CBD in dietary supplements, providing an overview of its chemical characteristics, routes of administration, and the key factors influencing its absorption and pharmacokinetics. It also reviews the main CBD formulations available in dietary supplements, including oils, capsules, gummies, and e-liquids, with particular emphasis on their characteristics relevant to CBD stability and bioavailability, as well as current regulatory frameworks. Finally, the major scientific and technological challenges associated with CBD-containing dietary supplements are highlighted. Full article

Fermented foods and beverages based on plant-derived ingredients are of growing technological interest, especially when they are designed as alternatives to conventional dairy products. This study evaluated the effects of herbal extracts from Verbascum thapsus L., Cnicus benedictus L., and Fumaria officinalis L. on lactic acid bacteria growth, acidification kinetics, and viable cell counts during the fermentation of organic milk, coconut beverage, and soy beverage. The extracts were characterized for extraction yield, total phenolic content, and antioxidant activity before use in fermentation trials. Mixtures of organic solvents and water produced extracts with higher total phenolic content and antioxidant activity than water alone. The highest values were obtained for F. officinalis extracts prepared with water and methanol or water and acetone, while for C. benedictus, the most effective solvents were water and acetone or water and ethanol. The agar well-diffusion assay showed no relevant antibacterial activity against the tested LAB strains under the applied conditions. No biologically relevant inhibition zones were observed in any of the 84 extract-strain combinations under the tested conditions. The only borderline response was observed for Lactobacillus acidophilus La-14 exposed to the 70% ethanolic extract of C. benedictus. The clear halo did not exceed 1.50 mm outside the 5 mm well and was treated as a weak, strain-specific screening result. Fermentation kinetics depended mainly on the food matrix. The coconut beverage acidified most rapidly, reaching pH 4.38 to 4.79 after 6 h, whereas the soy beverage required 24 h to reach pH 4.31 to 4.56. Organic milk showed the slowest acidification, and selected C. benedictus extracts delayed pH reduction. All analyzed fermented samples contained more than 7 log CFU/mL of viable LAB. These results indicate that selected herbal extracts can be used in fermented milk and plant-based beverages without reducing LAB survival, but their suitability should be assessed separately for each strain and matrix. Full article

The aim of this study was to formulate and optimize a novel functional ingredient based on thermally treated skimmed goat milk enriched with Agrocybe aegerita mushroom extract (ME) and grape pomace seed extract (GPE), intended for application in a dehydrated soup model. A central composite design was applied for preliminary optimization and the formulation based on antioxidant properties. The optimized ingredient exhibited enhanced antioxidant activity, with GPE identified as the dominant factor influencing the responses. However, deviations between predicted and experimental values were observed, reflecting moderate model fitting and differences in assay mechanisms. ATR-FTIR spectra were dominated by milk compounds, while DLS and electrophoretic analysis revealed structural modifications, including polymodal particle size distribution and alterations in the protein profile, indicating interactions between milk proteins, polyphenols, and mushroom-derived compounds. UHPLC-QToF-MS analysis confirmed a high content of grape-derived phenolic compounds. Following simulated gastrointestinal digestion, several phenolic compounds were detected in the soluble fraction, with catechin and ethyl gallate exhibiting the highest bioaccessibility (12.58% and 4.54%). The enriched ingredient showed modified techno-functional properties, including reduced emulsifying capacity but improved foaming behavior, which was attributed to protein structural changes and intermolecular interactions. Application in a dehydrated soup model demonstrated good solubility, stability, and high sensory acceptability without negative effects on flavor. Furthermore, the enriched soup showed enhanced antioxidant properties after simulated gastrointestinal digestion. The developed formulation represents a promising natural functional ingredient, combining enhanced bioactive properties with satisfactory technological performance. Full article

Chronic heart failure [CHF] is a progressive clinical syndrome characterized by structural and functional impairment of the myocardium, in which energy metabolic remodeling plays a central role. Increasing evidence suggests that metabolic disturbances in CHF are not only a consequence of reduced cardiac output but also active regulators of epigenetic remodeling, thereby contributing to disease progression. Key metabolites, including α-ketoglutarate, acetyl-CoA, NAD⁺, S-adenosylmethionine, succinate, and 2-hydroxyglutarate, influence the activity of DNA methyltransferases, histone-modifying enzymes, and other chromatin regulators, thereby linking metabolic status to transcriptional control. Through these mechanisms, metabolic abnormalities promote persistent activation of pathological gene programs associated with cardiomyocyte hypertrophy, fibrosis, inflammation, apoptosis, and mitochondrial dysfunction, forming a self-reinforcing metabolic–epigenetic feedback loop in CHF. Although current guideline-directed medical therapies improve symptoms and clinical outcomes, they do not directly target this metabolic–epigenetic axis. Traditional Chinese medicine (TCM), including bioactive compounds, herbal formulas, patent medicines, and injections, has demonstrated potential in preclinical studies to modulate myocardial energy metabolism, improve mitochondrial function, and influence epigenetic regulators such as SIRT1, AMPK, and TET/JmjC-dependent pathways. However, most available evidence is derived from experimental models, and causal relationships between metabolite regulation, epigenetic remodeling, and cardiac functional improvement remain insufficiently validated. This review summarizes current knowledge on metabolite-driven epigenetic regulation in CHF and evaluates emerging evidence on the role of TCM in modulating this network. We also critically discuss key limitations, including reliance on non-clinical models, incomplete pharmacokinetic understanding, and insufficient causal validation. Finally, we propose future directions based on multi-omics integration, single-cell and spatial technologies, and systems biology approaches to facilitate mechanistic clarification and translational development of metabolism-targeted strategies for CHF. Full article

Narrowband Internet of Things (NB-IoT) is a 3GPP-standardised low-power wide-area network (LPWAN) technology designed for massive machine-type communications in challenging propagation environments. Despite its growing deployment, empirical channel data for Thailand’s diverse terrain—urban dense, urban outdoor, suburban, rural, and forest/mountain—remains limited in the open literature. This paper presents a composite channel characterisation study encompassing sixteen measurement sites across five environment classes in central and western Thailand. A composite channel model combining log-distance path loss, log-normal shadowing, and Nakagami-m fast fading is applied across all sites, yielding 8000 reference signal received power (RSRP) samples. Path loss exponents range from n = 2.2 (rural) to n = 4.0 (forest/mountain), back-calculated Nakagami-m parameters from m = 0.44 to m = 3.51, and shadowing standard deviations from σ_sh = 4.16 to 8.38 dB; ECL distributions are derived for all five environment classes. The back-calculated Nakagami-m parameters reveal a coherence gradient from sub-Rayleigh forest terrain (m < 1) through urban Rayleigh (m = 1.00) to near-Rician rural conditions (m > 2)—a fading hierarchy not previously reported for NB-IoT in Thailand. Results confirm that the composite channel model accurately characterises RSRP distributions and provides actionable network planning parameters for NB-IoT deployment in varied Thai terrain. Full article