Search Results (63,591)

Fine particulate matter (PM_2.5) and ozone (O₃) are the main pollutants affecting the air quality in China, yet their common influencing factors and spatial patterns remain unclear. Focusing on the year 2020, this study adopted the least absolute shrinkage and selection operator algorithm to construct land use regression models with 34 environmental variables for the O₃ concentration at the air quality monitoring stations in the Shenyang Metropolitan Area. For comparison, PM_2.5 models had been developed in our previous work using the same approach. Model performance was satisfactory (cross-validated R² = 0.49–0.81 for O₃; 0.56–0.65 for PM_2.5 in our previous study), confirming the robustness of the approach. The results showed that: (1) Tree cover and grassland exerted synergistic, co-directional mitigation on both pollutants, whereas built-up areas and permanent water bodies were positively associated with their concentrations; (2) Longitude, elevation, and population, as well as atmospheric components such as nitrous dioxide column density and aerosol optical depth, displayed opposite effects on both pollutants, indicating trade-offs; (3) Spatially, PM_2.5 played the dominant role in shaping the pattern of combined pollution, with higher PM_2.5 levels than O₃ in nearly half of the area (46.97%), while O₃-dominant regions were rare (4.27%) and mostly confined to localized zones. This study contributes to a deeper understanding of the synergies and trade-offs driving PM_2.5 and O₃ pollution as well as providing a scientific basis for formulating policies on integrated control measures against combined pollution. Full article

With the rapid development of the laying hen industry and the continuous innovation of farming technology, egg production continues to increase. Eggs are rich in proteins, lipids, and immunoglobulins (IgY) found in the egg yolk. IgY can be used to treat human diseases and prevent bacterial and viral infections. In addition, IgY has advantages over IgG in biological structure and function and is characterized by high specificity, safety, yield, and economic efficiency. This review describes the basic structure and properties of IgY, lists a variety of IgY purification methods, and outlines measures to maintain and enhance its activity, focusing on the current status of its research in immunoprevention and treatment of human diseases and outlines its importance, and finally proposes the current challenges and future research priorities of IgY in the field of biomedical research to provide a scientific basis for the wide range of applications of IgY in human health. Full article

Mutations in the CFTR genes causing cystic fibrosis (CF) are associated with the presence of thick, viscous mucus and the formation of biofilms in the gastrointestinal tract (GI) that impair intestinal homeostasis, triggering chronic inflammation, epithelial barrier dysfunction, and changes in the composition and activity of the gut microbiota. CFTR protein modulators represent a promising approach to enhancing lower GI function in patients with CF. The aim of the review is to present the complex relationships between the presence of CFTR gene mutations and the gut microbiota dysbiosis in patients with cystic fibrosis. Mutations in the CFTR gene, the molecular basis of cystic fibrosis (CF), disrupt epithelial ion transport and profoundly alter the gastrointestinal environment. Defective chloride and bicarbonate secretion leads to dehydration of the mucosal layer, increased mucus viscosity, and the formation of biofilms that favour microbial persistence, which together promote gut microbiota dysbiosis. This dysbiotic state contributes to impaired epithelial barrier function, chronic intestinal inflammation, and abnormal immune activation, thereby reinforcing disease progression. The interplay between CFTR dysfunction and microbial imbalance appears to be bidirectional, as dysbiosis may further exacerbate epithelial stress and inflammatory signalling. Therapeutic interventions with CFTR protein modulators offer the potential to partially restore epithelial physiology, improve mucus hydration, and foster a microbial milieu more consistent with intestinal homeostasis. The aim of this review is to elucidate the complex relationships between CFTR gene mutations and gut microbiota dysbiosis in patients with cystic fibrosis, with a particular emphasis on the clinical implications of these interactions and their potential to inform novel therapeutic strategies. Full article

Hypoplastic left heart syndrome (HLHS) is a severe congenital heart disease affecting 2–3 neonates every 10,000 live births. While prior research has highlighted associations of HLHS with specific chromosomal abnormalities and genetic mutations, the precise pathophysiology remains elusive. Despite early surgical intervention potentially allowing most HLHS patients to survive their critical heart disease with a single-ventricle physiology, patients frequently experience complications of arrhythmias and right ventricular heart failure, culminating in the need for an eventual heart transplant. Scarcity of suitable donors combined with limited understanding of mechanisms of development highlights the need for furthering our understanding of HLHS and alternative treatment options. Over the past decades, stem cell research has significantly advanced our understanding of cardiac conditions, repair, development, and therapy, opening the door for a new exciting field of regenerative medicine in cardiology with significant implications for HLHS. This review serves to provide a comprehensive overview of a much focused-on area related to HLHS. Specifically, we will first discuss the key pathophysiological basis and signalling molecules of HLHS. We then outline the emerging role of stem cell-based therapy, with a focus on adult stem cells and pluripotent stem cells (PSCs) in uncovering the pathophysiology of HLHS and optimising future treatment directions. Finally, we will also explore the latest and possible future directions of stem cell-derived techniques such as cardiac organoids and bioengineering cardiac tissues and their utility for investigating disease mechanisms, drug screening, and novel therapy for HLHF. Full article

Geothermal resources in arid inland basins are important for clean energy development, yet their circulation and geochemical mechanisms remain insufficiently understood. This study investigates the hydrochemical characteristics and formation mechanisms of geothermal water in the Zhangye–Minle Basin, an arid inland region in northwestern China. A total of nine geothermal water samples were analyzed using major ion chemistry, stable isotopes (δ²H, δ¹⁸O), tritium (³H), and radiocarbon (¹⁴C) to determine recharge sources, flow paths, and geochemical evolution. The waters were predominantly of the Cl–Na and Cl·SO₄–Na types, with total dissolved solids ranging from 3432.00 to 5810.00 mg/L. Isotopic data indicated that recharge originated from atmospheric precipitation and snowmelt in the Qilian Mountains, with recharge altitudes between 2497 and 5799 m. Tritium and ¹⁴C results suggested that most samples were recharged before 1953, with maximum ages exceeding 40,000 years. Gibbs diagrams and ion ratio plots demonstrated that water–rock interaction was the primary geochemical process, while cation exchange was weak. Na⁺ was mainly derived from halite, albite, and mirabilite, while SO₄²⁻ originated largely from gypsum. The calculated reservoir temperatures using cation geothermometers ranged from 57 °C to 148 °C. The deep circulation of geothermal water was closely related to NNW-trending fault zones that facilitated infiltration and heat accumulation. These findings provide new insights into the recharge sources, circulation patterns, and geochemical processes of geothermal systems in fault-controlled basins, offering a scientific basis for their sustainable exploration and development. Full article

The increasing demand for sustainable alternatives to synthetic agrochemicals underscores the need for novel, naturally derived plant growth regulators (PGRs) with high specificity and minimal environmental impact. In this study, we propose agavenin (AG), a steroidal saponin from Agave species, as a promising candidate and evaluate its potential role in plant growth regulation through a comprehensive in silico approach. Using molecular docking, molecular dynamics simulations, ADME profiling, and FTIR spectroscopy, we analyzed the interaction of AG with three key protein receptors (KPRs) that regulate major hormonal pathways: GA3Ox2 (gibberellin), IAA7 (auxin), and BRI1 (brassinosteroid). AG showed strong and stable binding to GA3Ox2 and IAA7, with affinities comparable to their endogenous ligands, while exhibiting low interaction with BRI1—suggesting receptor selectivity. Molecular dynamics confirmed the stability of AG–GA3Ox2 and AG–IAA7 complexes over 100 ns, and ADME profiling highlighted favorable properties for bioavailability and transport. Collectively, these findings indicate that AG could function as a selective, receptor-targeted modulator of gibberellin and auxin signaling pathways. Beyond demonstrating the molecular basis of AG’s bioactivity, this work establishes a computational foundation for its future experimental validation and potential development as a sustainable, naturally derived growth regulator for plant biotechnology and agriculture. Full article

Unsaturated fatty acids are key contributors to the nutritional and sensory quality of lamb meat. To investigate the molecular basis of intramuscular unsaturated fatty acid variation, we selected lambs with divergent fatty acid profiles and performed integrated transcriptomic and untargeted metabolomic analyses of the longissimus dorsi muscle. The high unsaturated fatty acid group exhibited distinct gene expression patterns in pathways related to lipid metabolism, mitochondrial function, and immune responses. Metabolomic profiling revealed significant enrichment of metabolites involved in both the biosynthesis and degradation of fatty acids. Among the differentially expressed genes, MYH7 was markedly upregulated in lambs with higher unsaturated fatty acid content, suggesting a potential regulatory role in energy metabolism or lipid homeostasis. These findings provide new molecular insights into the mechanisms underlying unsaturated fatty acid deposition in lamb and identify MYH7 and other candidates as potential targets for improving meat quality through breeding or nutritional strategies. Full article

Rhizoctonia solani root rot (RSRR) is a major disease that significantly reduces soybean yields, causing substantial economic losses to global soybean production. To elucidate the genetic basis of RSRR resistance, 310 soybean germplasm accessions were evaluated using the disease severity index (DSI) following inoculation with R. solani. Among these accessions, 46.13% were susceptible, and only 2.26% exhibited high resistance. Utilizing resequencing data consisting of 738,561 Single Nucleotide Polymorphism (SNP) loci, a genome-wide association study (GWAS) was performed by integrating both general linear model (GLM) and mixed linear model (MLM) approaches, resulting in the identification of 21 SNPs significantly associated with resistance on chromosomes 3, 13, 15, 16, 17, and 18, and six candidate genes. RT-qPCR expression analysis revealed that four genes, including Glyma.03G166300, Glyma.03G168100, Glyma.13G212700, and Glyma.13G212300, were significantly upregulated in resistant genotypes after inoculation. Furthermore, Cleaved Amplified Polymorphic Sequences (CAPS) and Kompetitive Allele Specific PCR (KASP) molecular markers were successfully developed based on the RSRR-associated SNPs S3_38086892, S3_38247290, and S13_32595026, providing effective tools for marker-assisted selection (MAS). The findings strengthen our genetic knowledge concerning RSRR resistance and contribute to the molecular breeding of resistant soybean cultivars. Full article

Background: Major depressive disorder (MDD) is a prevalent and disabling psychiatric illness with complex etiologies involving both genetic and environmental factors. While environmental stress is a known risk factor of MDD, the molecular mechanisms linking stress exposure to persistent depressive phenotypes remain incompletely understood. Methods: We established a 24-hour restraint stress-induced depression model in mice and performed integrated transcriptomic and proteomic analyses of the medial prefrontal cortex (mPFC) to investigate stress-related molecular alterations. Results: Behavioral assessments confirmed persistent depression-like phenotypes, including anhedonia and behavioral despair, lasting up to 35 days post-stress. RNA sequencing identified differentially expressed genes related to dopaminergic signaling and oxidative stress. Proteomic analysis identified 105 differentially expressed proteins involved in immune response and energy metabolism. Integrated multi-omics analysis highlighted convergent disruptions in immune regulation, metabolism, and epigenetic processes. Notably, clemastine exerts its antidepressant-like effects in part by mitigating neuroinflammation and preserving mitochondrial function. Conclusions: These findings provide novel insights into the molecular basis of stress-induced depression and suggest that clemastine is a potential therapeutic candidate. Full article

Polycyclic aromatic hydrocarbons (PAHs) are a class of persistent organic pollutants composed of two or more fused benzene rings, posing serious threats to ecological environments and human health. Biodegradation is an efficient, economical, and sustainable approach for remediating PAHs pollution. In our previous work, we isolated and characterized a PAH-degrading bacterium, Burkholderia sp. FM-2. FM-2 demonstrated strong tolerance and efficient degradation capacity toward various PAHs, achieving 81.98% degradation of 2 mM phenanthrene within 3 days, and over 58% degradation of 2 mM fluorene, dibenzofuran, and dibenzothiophene under the same conditions. Through combined genomic and transcriptomic analyses, a putative PAH degradation gene cluster was identified in the FM-2 genome. Phylogenetic and domain architecture analyses were conducted on seven oxygenase genes within the cluster. Using AlphaFold 3, we predicted the three-dimensional structure of the downstream transport protein OmpW and proposed a potential transmembrane channel for PAHs uptake. To eliminate the phenanthrene degradation intermediate 1-hydroxy-2-naphthoic acid, a genetically engineered strain FM-2::nahG was constructed by heterologous expression of the salicylate hydroxylase gene (nahG). The modified strain completely abolished the accumulation of 1-hydroxy-2-naphthoic acid and achieved complete mineralization of phenanthrene. This study not only reveals the molecular basis of PAHs degradation in Burkholderia sp. FM-2 but also demonstrates the potential of metabolic engineering to enhance biodegradation ability, providing a promising microbial candidate for the bioremediation of PAH-polluted environments. Full article

Chatter vibration in machining operations has been identified as one of the major obstacles to improving surface quality and productivity. Therefore, efficiently and accurately predicting stable cutting regions is becoming increasingly important, especially in high-speed milling processes. In this study, on the basis of a predictor–corrector scheme, the following three error correction methods are developed for milling stability analysis: the Correction Hamming–Milne-based method (CHM), the Correction Adams–Milne-based method (CAM) and the Predictor–Corrector Hamming–Adams–Milne-based method (PCHAM). Firstly, we employ the periodic delay differential equations (DDEs), which are usually adopted to describe mathematical models of milling dynamics, and the time period of the coefficient matrix is divided into two unequal subintervals based on an analysis of the vibration modes. Then, the Hamming method and the fourth-order implicit Adams–Moulton method are separately utilized to predict the state term, and the Milne method is adopted to correct the state term. Based on local truncation error, combining the Hamming and Milne methods creates a CHM that can more precisely approximate the state term. Similarly, combining the fourth-order implicit Adams–Moulton method and the Milne method creates a CAM that can more accurately approximate the state term. More importantly, the CHM and the CAM are employed together to acquire the state transition matrix. Thereafter, the effectiveness and applicability of the three error correction methods are verified by comparing them with three existing methods. The results demonstrate that the three error correction methods achieve higher prediction accuracy without sacrificing computational efficiency. Compared with the 2nd SDM, the calculation times of the CHM, CAM and PCHAM are reduced by around 56%, 56% and 58%, respectively. Finally, verification experiments are carried out using a CNC machine (EMV650) to further validate the reliability of the proposed methods, where ten groups of cutting tests illustrate that the stability lobes predicted by the three error correction methods exhibit better agreement with the experimental results. Full article

The topic of energy security is relevant for EU countries that pay great attention to new renewable energy sources and sustainable environmental development. The purpose of the article is to analyze and group EU countries by their level of energy security. To achieve this goal, general scientific methods and Kohonen maps (Deductor Studio package) were used. This article analyzes the state of energy security in EU countries, energy imports, the development of renewable energy sources, energy consumption, and energy security challenges. As a result of grouping EU countries according to Kohonen maps, three clusters were identified: countries with high, medium, and relatively low levels of energy security. The approach demonstrated the effectiveness of neural network-based clustering in revealing structural differences in national energy systems. The findings indicate that to strengthen energy security across the European Union, it is important to adopt differentiated approaches tailored to the specific needs of each cluster. The practical significance of the article lies in clustering EU countries by their energy security potential, which provides a basis for developing and implementing appropriate policies to enhance energy security. Recommendations for strengthening energy security were proposed for each cluster. Full article

Traditional orebody modeling methods struggle to efficiently integrate new geological data. Therefore, we propose a novel framework for dynamically updating 3D geological models by directly interpolating geological logging data. The core innovation lies in the innovative interpolation of raw interpreted cross polylines into an implicit scalar field representation without intermediate explicit surface extraction or manual remodeling. To obtain reliable vectorized polylines, we developed image recognition and digitization techniques that are based on the pattern recognition of geological sketches. Moreover, different from existing implicit techniques, we present an improved approach to interpolate complex cross polylines that are dynamically based on the improved principal component analysis. The method allows specifying a priori constraints to adjust the erroneous estimated normal to improve the reliability of the normal estimation results of cross-contour polylines. The a priori information can be combined into the normal estimation algorithm to update the normals of the corresponding adjacent contour polylines in the process of normal estimation at the intersection points and in the process of normal propagation. By leveraging the radial basis functions-based spatial interpolators, the method continuously assimilates incremental geological observations into the interpolation constraints to update the implicit model. Case studies demonstrate a reduction in the modeling cycle time compared to conventional explicit methods while maintaining geologically coherent boundaries. The framework significantly enhances decision agility in resource estimation and mine planning workflows by bridging geological interpretation and dynamic model iteration. Full article

Standardized driving cycles such as the FTP-75 fail to represent traffic conditions in cities like Guayaquil, where high congestion and varied driving behaviors are not captured by external models. This study aimed to develop representative driving cycles for the city’s most congested urban routes, covering the north, south, center, and west zones. Using the direct method, real-world trips were conducted with an M1-category vehicle equipped with an OBDLINK MX+ device, allowing real-time data collection. Driving data were processed through OBDWIZ software Version 4.30.1 and statistically analyzed using Minitab. From pilot tests, the appropriate sample size was estimated, and normality tests were applied to determine the correct measures of central tendency. The final representative cycles were constructed using a weighting criteria method. The results provided quantified evidence of variations in average speed, idle time, and acceleration patterns across the routes, which were transformed into representative driving cycles. These cycles provide a more accurate basis for emission modeling, vehicle certification, and transport policy design in congested cities such as Guayaquil, and this is the applied impact that is highlighted in our contribution. Furthermore, the developed cycles provide a foundation for future research on emission modeling and the design of sustainable transport strategies in Latin American cities. Full article

The efficient resource utilization of industrial solid wastes, such as ground granulated blast-furnace slag (GGBS) and coal gangue (CG), is essential for sustainable development. However, their activation commonly depends on expensive and corrosive chemical alkalis. This study proposes a solution by developing a fully waste-based cementitious material using calcium carbide slag (CS), another industrial residue, as an eco-friendly alkaline activator for the GGBS-CG system. The influence of CS dosage (0–20 wt%) on hydration evolution and mechanical properties was examined using uniaxial compression testing, X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). The results indicated that a CS dosage of 10 wt% yielded the highest compressive strength, reaching 10.13 MPa—a 16.5% improvement compared to the 20 wt% group. This enhancement is ascribed to the formation of hydrotalcite (HT) and calcium silicate hydrate (C-(A)-S-H) gel, which densify the microstructure. In contrast, higher CS contents led to a passivation effect that restrained further reaction. This work offers a practical and theoretical basis for the development of low-carbon, multi-waste cementitious materials and presents a promising strategy for large-scale valorization of industrial solid wastes. Full article