Search Results (19,333)

Obesity, an escalating global health crisis, is characterized by adipose tissue hypertrophy and chronic low-grade inflammation. Although anti-obesity drugs can induce weight loss, their use is limited by adverse effects, underscoring the need for safer therapeutic strategies. In this study, we generated a recombinant form of Trichinella spiralis-derived macrophage migration inhibitory factor (rTs-MIF) and investigated its anti-inflammatory and anti-obesity effects via immunometabolic regulation. Male C57BL/6 mice fed a 45% high-fat diet were orally administered rTs-MIF, and its effects were evaluated by measuring fat mass, glucose metabolism, serum cytokines, liver histology, and adipose tissue parameters. In 3T3-L1 cells, we examined the effects of rTs-MIF on adipocyte differentiation, obesity-related gene expression, and intracellular signaling pathways. Oral rTs-MIF suppressed body weight gain, reduced fat mass, improved glucose levels, and decreased the food efficiency ratio. It also lowered pro-inflammatory cytokines and increased markers associated with M2 macrophages. In 3T3-L1 cells, rTs-MIF inhibited adipocyte differentiation and reduced the expression of lipogenic transcription factors and mouse Mif while modulating AKT and p44/42 MAPK signaling. These findings identify rTs-MIF as a potential bioactive candidate that ameliorates obesity by regulating the immune–metabolic axis. Full article

Sustainable Urban Drainage Systems (SUDSs) are essential for stormwater management in urban areas, with varying hydrological, social, ecological, and economic benefits. Nevertheless, choosing the SUDS most appropriate for public spaces poses a challenge when balancing details/specifications against community decisions, primarily social implications and perceptions. Building on the SUDS design pillar of the amenity, this study outlines a three-phase methodological framework for selecting SUDS based on social facilitation. The first phase introduces the application of the Partial Least Squares Structural Equation Modeling (PLS-SEM) and Classificatory Expectation–Maximization (CEM) techniques by modeling complex social interdependencies to find critical components related to urban planning. A Likert scale survey was also conducted with 440 urban dwellers in Tunja (Colombia), which identified three dimensions: Residential Satisfaction (RS), Resilience and Adaptation to Climate Change (RACC), and Community Participation (CP). In the second phase, the factors identified above were transformed into eight operational criteria, which were weighted using the Analytic Hierarchy Process (AHP) with the collaboration of 35 international experts in SUDS planning and implementation. In the third phase, these weighted criteria were used to evaluate and classify 13 types of SUDSs based on the experts’ assessments of their sub-criteria. The results deliver a clear message: cities must concentrate on solutions that will guarantee that water is managed to the best of their ability, not just safely, and that also enhance climate resilience, energy efficiency, and the ways in which public space is used. Among those options considered, infiltration ponds, green roofs, rain gardens, wetlands, and the like were the best-performing options, providing real and concrete uses in promoting a more resilient and sustainable urban water system. The methodology was also used in a real case in Tunja, Colombia. In its results, this approach proved not only pragmatic but also useful for all concerned, showing that the socio-cultural dimensions can be truly integrated into planning SUDSs and ensuring success. Full article

Three-dimensional multi-object tracking (3D MOT) plays a vital role in enabling reliable perception for LiDAR-based autonomous systems. However, LiDAR measurements often exhibit sparsity, occlusion, and sensor noise that lead to uncertainty and instability in downstream tracking. To address these challenges, we propose FGO-PMB, a unified probabilistic framework that integrates the Poisson Multi-Bernoulli (PMB) filter from Random Finite Set (RFS) theory with Factor Graph Optimization (FGO) for robust LiDAR-based object tracking. In the proposed framework, object states, existence probabilities, and association weights are jointly formulated as optimizable variables within a factor graph. Four factors, including state transition, observation, existence, and association consistency, are formulated to uniformly encode the spatio-temporal constraints among these variables. By unifying the uncertainty modeling capability of RFS with the global optimization strength of FGO, the proposed framework achieves temporally consistent and uncertainty-aware estimation across continuous LiDAR scans. Experiments on KITTI and nuScenes indicate that the proposed method achieves competitive 3D MOT accuracy while maintaining real-time performance. Full article

This study analyzes artificial intelligence development and green economic efficiency across 31 Chinese provinces using 2019–2021 panel data. We apply the entropy weight TOPSIS method to measure AI development levels. The entropy weight TOPSIS method measures AI development levels, the DEA-BCC model assesses green economic efficiency, and their coordination types are identified. Findings reveal a significant negative correlation between AI development and green economic efficiency. We explain this complex relationship through three mechanisms: short-term polarization effects, technology conversion lags, and spatial spillovers. Spatial analysis shows AI development forms high-high agglomerations in the Yangtze River Delta and Shandong. Green economic efficiency shows high-high clustering in the Beijing-Tianjin-Hebei region and selected western provinces. Using a “two-system” coupling framework, we identify four provincial categories. The “double-high” type should function as growth poles. The “high-low” type requires improved technology conversion efficiency. The “low-high” type can leverage ecological advantages. The “double-low” type needs enhanced factor inputs. We propose three targeted policy recommendations: establishing digital-green synergy platforms, implementing inter-provincial AI resource collaboration mechanisms, and developing locally adapted action plans. Full article

The design of aircraft components is a complex process that must simultaneously account for environmental impact, manufacturability, cost and structural performance to meet modern regulatory requirements and sustainability objectives. When these factors are integrated from the early design stages, the approach transcends traditional eco-design and becomes a genuinely sustainability-oriented design methodology. This study proposes a sustainability-driven design framework for aircraft components and demonstrates its application to a fuselage panel consisting of a curved skin, four frames, seven stringers, and twenty-four clips. The design variables investigated include the material selection, joining methods, and subcomponent thicknesses. The design space is constructed through a combinatorial generation process coupled with compatibility and feasibility constraints. Sustainability criteria are evaluated using a combination of parametric Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) regression models, parametric Finite Element Analysis (FEA), and Random Forest surrogate modeling trained on a stratified set of simulation results. Two methodological pathways are introduced: 1. Cluster-based optimization, involving customized clustering followed by multi-criteria decision-making (MCDM) within each cluster. 2. Global optimization, performed across the full decision matrix using Pareto front analysis and MCDM techniques. A stability analysis of five objective-weighting methods and four normalization techniques is conducted to identify the most robust methodological configuration. The results—based on a full cradle-to-grave assessment that includes the use phase over a 30-year A319 aircraft operational lifetime—show that the thermoplastic CFRP panel joined by welding emerges as the most sustainable design alternative. Full article

Weight loss occurs with chronic kidney disease (CKD) and is present in the early stages. Growth differentiation factor 8 (GDF8), also known as myostatin, is a negative regulator of muscle growth, and circulating GDF8 concentrations are increased in people with CKD. The objective of this study was to evaluate if serum GDF8 concentrations in cats with early CKD are increased compared to healthy cats. Associations of GDF8 with age, sex, body weight, body condition score (BCS), muscle condition score (MCS), and selected renal parameters were also examined. Serum GDF8 in healthy (n = 10), International Renal Interest Society (IRIS) stage 1 CKD (n = 5), and IRIS stage 2 CKD (n = 10) cats was quantified using a commercially available sandwich ELISA. GDF8 was not different amongst healthy cats (2137 ± 740 pg/mL) and cats with IRIS stage 1 (1785 ± 530 pg/mL) and IRIS stage 2 (1961 ± 638 pg/mL; p = 0.608) CKD. GDF8 was moderately correlated with MCS (r_s = 0.517, 95% CI 0.006–0.814, p = 0.049) and inversely correlated with age (r = −0.429, 95% CI −0.705 to −0.041, p = 0.032), but no association was found with the selected renal parameters, body weight, or BCS. Full article

Obesity arises from chronic energy imbalance, where energy intake exceeds energy expenditure. Emerging evidence supports a key role of DNA methylation in the regulation of adipose tissue development and metabolism. We have recently discovered a key role of DNA methylation, catalyzed by DNA methyltransferase 1 or 3a (Dnmt1 or 3a), in the regulation of adipocyte differentiation and metabolism. Here, we aimed to investigate the role of adipose progenitor cell Dnmt3b—an enzyme mediating de novo DNA methylation—in energy metabolism and obesity. We generated a genetic model with Dnmt3b knockout in adipocyte progenitor cells (PD3bKO) by crossing Dnmt3b floxed mice with Platelet-derived growth factor receptor alpha (PDGFRα) Cre mice. Dnmt3b deletion in adipocyte progenitors enhanced thermogenic gene expression in brown adipose tissue, increased overall energy expenditure, and mitigated high-fat diet (HFD)-induced obesity in female mice. PD3bKO mice also displayed a lower respiratory exchange ratio (RER), indicative of a metabolic shift favoring fat utilization as an energy source. Furthermore, female PD3bKO mice exhibited improved insulin sensitivity alongside their lean phenotype. In contrast, male PD3bKO mice showed no changes in body weight but demonstrated decreased insulin sensitivity, revealing a sexually dimorphic metabolic response to Dnmt3b deletion in adipose progenitor cells. These findings underscore the critical role of Dnmt3b in regulating energy homeostasis, body weight, and metabolic health, with significant implications for understanding sex-specific mechanisms of obesity and metabolism. Full article

In today’s world, unhealthy living habits have contributed to the rise in metabolic disorders like hyperlipidemia. Recognized as a popular edible and medicinal mushroom in China and various eastern nations, Ganoderma lucidum is a promising high-value functional and medicinal food with multiple biological activities. Our earlier research has demonstrated that G. lucidum polysaccharides (GLP) showed distinct lipid-lowering abilities by enhancing the response to oxidative stress and inflammation, adjusting bile acid production and lipid regulation factors, and facilitating reverse cholesterol transport through Nrf2-Keap1, NF-κB, LXRα-ABCA1/ABCG1, CYP7A1-CYP27A1, and FXR-FGF15 pathways, hence we delved deeper into the effects of GLP on hyperlipidemia, focusing on its structural characterization, gut microbiota, and fecal metabolites. Our findings showed that GLP changed the composition and structure of gut microbiota, and 10 key biomarker strains screened by LEfSe analysis markedly increased the abundance of energy metabolism, and cell growth and death pathways which were found by PICRUSt2. In addition, GLP intervention significantly altered the fecal metabolites, which enriched in amino acid metabolism and lipid metabolism pathways. The results of structural characterization showed that GLP, with the molecular weight of 12.53 kDa, consisted of pyranose rings and was linked by α-type and β-type glycosidic bonds, and its overall morphology appeared as an irregular flaky structure with some flecks and holes in the surface. Collectively, our study highlighted that the protective effects of GLP were closely associated with the modification of gut microbiota and the regulation of metabolites profiles, thus ameliorating dyslipidemia. Full article

Agricultural land represents a fundamental production resource and one of the key factors of ecological and economic stability in rural and peri-urban areas. In the municipality of Grocka, the impacts of urbanization, demographic decline, and changes in the agrarian production structure have led to spatial degradation and reduced economic sustainability. To assess the current state and potential of agriculture at the settlement level, a multi-criteria analysis (MCA) integrated with Geographic Information Systems (GIS) was applied. The analysis encompassed demographic, production, environmental, and spatial indicators, normalized using the min–max scaling method and aggregated through a weighted sum. Criteria weights were defined based on a combination of literature review and expert judgment. The results reveal spatial variations in the level of sustainability and enable the identification of priority zones for agro-economic improvement, areas of moderate stability, and spaces suitable for developing sustainable agricultural models. Sensitivity testing (±20% variation in weights) confirmed the robustness of the results. The identified zones and proposed measures aim to revitalize degraded areas, preserve permanent crops, and strengthen production and institutional capacities. The applied methodological framework can serve as a tool for planning and policymaking in sustainable agricultural development, particularly in peri-urban contexts. Full article

Many denoising methods model noise as Gaussian noise. However, the realistic noise captured by camera devices does not satisfy Gaussian distribution. Hence, those methods do not perform well when being applied to real-world image denoising tasks. In this work, we indicate that the spatial correlation in noise and the variation of noise intensity are the main factors that impact the performance of Gaussian noise-based methods, and accordingly propose an extension of the method based on the weighted, mixed non-convex ${\mathsf{\ell }}_p$ norm. The proposed method first strengthens the intensity of the noise pattern in the original denoising result through the Guided Filter, then removes the over-amplified frequency in the local area by the proposed regularization term. We prove that the optimal solution can be achieved through the sub-gradient-based iterative optimization scheme, and further reduce the computational cost by optimizing the initial values. Numerical experiments show that the proposed extending method can balance well texture preservation and noise removal, and the PSNR of the extending method’s results are greatly improved, even outperforming the recently proposed realistic noise removal methods which also include deep learning based methods. Full article

Orchard crops generate substantial quantities of diverse biomass each year, with grapevines being among the most economically significant species worldwide. Considering the scale of this biomass, there is a growing need to explore rational strategies for its utilisation, for example, for energy production or other value-added applications. Such approaches may contribute to improving resource efficiency and reducing the environmental burden associated with agricultural waste. The aim of this study was to examine the energy potential of woody post-production waste from wine processing, with particular emphasis on grape stems of four cultivars—Chardonnay, Riesling, Merlot, and Zweigelt—grown in two contrasting climatic regions: south-eastern Poland and Moravia (Czech Republic). The results demonstrated that both the grape variety and cultivation site significantly influenced the majority of bunch biometric traits, including bunch and berry weight, berry number, and stem dimensions. A moderately warm climate promoted the development of larger and heavier bunches as well as more robust stems across all examined cultivars. Energy analyses indicated that Zweigelt stems produced under moderately warm conditions and Chardonnay stems from a temperate climate exhibited the most favourable combustion properties. Nonetheless, certain constraints were identified, such as increased ash (12.20%) and moisture content (11.51%) in Chardonnay grown in warmer conditions, and elevated CO and CO₂ emissions observed for Zweigelt (1333.26 kg·mg⁻¹). Overall, the findings confirm that grape stems constitute a promising local source of bioenergy, with their energy performance determined predominantly by varietal characteristics and climatic factors. Their utilisation aligns with circular-economy principles and may help reduce the environmental impacts associated with traditional viticultural waste management. Full article

Background: Low peak bone mass (PBM) is a major contributor to later osteoporosis risk. This study sought to understand young people’s knowledge of factors associated with bone health. Methods: Young people in Aotearoa New Zealand were approached. Eight focus groups (26 participants in total, aged 11 to 17 years) were conducted using a semi-structured approach with open-ended questions and prompts. Transcripts were thematically coded using an inductive content analysis approach. Results: Knowledge of factors associated with good bone health was limited. There was a general awareness of the positive and negative impacts of many lifestyle behaviours on health generally, but not specifically PBM. Dairy intake was commonly mentioned as being beneficial for bone health. Some participants reported potential benefits of sport, but most did not know that weight bearing activity specifically was beneficial. Conclusions: Knowledge of osteoporosis and lifestyle factors that impact PBM was limited. Educational interventions involving promotion of bone health knowledge and supporting weight bearing physical activity in adolescents may be an important contributor to public health strategies. Full article

A comprehensive analysis was conducted to explore whether feeding inclusion procyanidin-rich grape seed powders (GSPs) affected the faba bean-induced muscle crispness in the aquaculture of crisped grass carp. The procyanidin content in the prepared GSP was 10.40 g/100 g. Additionally, one thousand 1-year-old grass carp with an initial weight of 27 g and an initial length of 12 cm were divided into five groups, including the blank control (basal diet); the positive control (faba bean diet); and the low (faba bean diet supplemented 100 mg/kg GSP), middle (faba bean diet supplemented 500 mg/kg GSP), and high (faba bean diet supplemented 1000 mg/kg GSP) GSP-supplemented groups. After feeding for 60 days, the weight gain rate, specific growth rate, and condition factor were elevated in the high-GSP-supplemented group in comparison with the blank control (p < 0.05), accompanied by a significant decrease in the feeding coefficient (p < 0.05). Meanwhile, a significant increase in muscle ROS content, shear force, gumminess, and chewiness was determined in the high-GSP-supplemented group when compared with the positive group, suggesting that a relatively high daily supplement of GSP facilitated muscle crispness. Moreover, the composition of intestine microbiota was significantly varied between groups with the daily addition of GSP (p < 0.05). Among them, Lactococcus chungangensis was identified as the key biomarker of the high-GSP-supplemented group, which was closely related to the increased muscle ROS content, the modifications in muscle nutritional metabolites (Met, C20:2n6, C20:3n6, C20:4n6, and C22:4n6), and the alterations in muscle texture (gumminess, chewiness, shear force, hardness, and adhesiveness). Based on these results, we believe that a relatively high daily supplement of GSP (1000 mg/kg) facilitated muscle crispness in the aquaculture of crisped grass carp. Full article

Background/Objectives: To develop and validate the DMEK Risk and Outcome Prediction (DROP) Score—a benchmarking model integrating patient, donor, surgical, and center-specific parameters for individualized risk assessment following DMEK. Methods: The DROP Score comprises four subscores, namely the Patient Risk Profile (PRP), Donor Tissue Quality (DTQ), Surgical Complexity Index (SCI), and Center Performance Factor (CPF), with literature-derived weights ($\alpha$ = 0.40, $\beta$ = 0.25, $\gamma$ = 0.20, $\delta$ = 0.15) validated by sensitivity analysis (K = 0.82–0.91). Clinical validation included 76 DMEK eyes and 89 controls (2019–2023). Machine learning models utilized EfficientNetV2B3 transfer learning with Random Forest classifiers and patient-level data partitioning. IVCM imaging comprised 6200 images. Results: The mean DROP Score was 39.35 ± 7.61 (Moderate: 92.1%; High: 7.9%). High-risk patients showed worse 12-month BCVA (0.50 vs. 0.31 logMAR) and higher poor prognosis rates (50.0% vs. 34.3%). The DROP Score showed significant correlations with BCVA (r = 0.305, p = 0.007) and ECD (r = −0.352, p = 0.002). Tissue classification accuracy reached 96.2%. Diabetes mellitus emerged as the strongest prognostic factor (OR: 4.34, p = 0.012), followed by hypertension (OR: 2.65, p = 0.078). Conclusions: The DROP Score provides transparent, individualized DMEK risk assessment. Diabetes mellitus and hypertension emerged as dominant systemic prognostic factors, while rebubbling showed no adverse impact on long-term outcomes. Complete four-domain validation requires ongoing prospective data collection. Full article

Background: Triple-negative breast cancer (TNBC), defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) expression, is associated with increased BRCA1/2 mutation rates. Extracellular vesicles (EVs) play a pivotal role in TNBC progression. This study aimed to analyze BRCA1/2 mutations and identify EV-related biomarkers for TNBC by employing TNBC-related datasets and EV-related genes (EVRGs). Methods: Initially, BRCA1/2 mutations in TNBC patients were examined. Differentially expressed EVRGs (DE-EVRGs) were identified by integrating the results of both differential expression analysis and weighted gene co-expression network analysis (WGCNA). Biomarkers were identified using Receiver Operating Characteristic (ROC) and Kaplan–Meier (K–M) analyses. Finally, functional enrichment, drug prediction, molecular docking, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) analyses were performed. Results: Waterfall plots indicated that TP53 exhibited the highest mutation frequency in both the mutation (MUT) and wild-type (WT) group. Four distinct types of immune cells (for example, eosinophils and neutrophils) showed significantly elevated expression levels in the WT group. Notably, PLA2G5 was identified as a biomarker of TNBC and its expression was significantly lower in TNBC (p = 0.0025). Functional analysis demonstrated that PLA2G5 is enriched in the “drug metabolism cytochrome P450” pathway. Finally, 20 drugs targeting PLA2G5 were identified, among which leukotriene C4 demonstrated a binding affinity of −7.2 kcal/mol. This finding suggests that leukotriene C4 has potential therapeutic applications for the treatment of TNBC. Conclusions: Our study found significant differences between the MUT and WT groups, identifying PLA2G5 as a biomarker for TNBC and offering a theoretical basis for TNBC treatment. Full article