Search Results (38,504)

Informal food trading is a cornerstone of urban livelihoods and food security in Namibia, yet traders operate under fragile conditions marked by limited capital, policy exclusion, and exposure to shocks such as COVID-19. Despite this vulnerability, traders exhibit resilience through everyday forms of social innovation. This study investigates how adaptive pricing, customer credit, and digital communication and e-payment practices function as pathways of resilience among 470 informal food traders in Windhoek, using Structural Equation Modelling to assess gender-differentiated determinants and outcomes. The analysis reveals that women’s adoption of adaptive pricing and digital tools is driven primarily by education and startup capital, while men’s innovation practices are shaped by vendor type and access to financing. Social innovations mediate the effects of these structural factors on enterprise growth, demonstrating that innovation acts as a critical mechanism linking resources and resilience. The study concludes that enhancing informal traders’ resilience requires policies that strengthen human and financial capital, improve digital inclusion, and recognize gendered differences in access to opportunity. It recommends targeted support for women’s entrepreneurial training, affordable credit, and digital infrastructure to transform the informal food sector into a more equitable and sustainable component of Namibia’s urban economy. Full article

Driven by the “dual carbon” goal and the strategy for cultivating new productive forces, China’s economy is undergoing a crucial transformation from high-speed growth to high-quality development. As a typical high-energy consumption and high-emission sector, the green and low-carbon transformation of the building materials industry directly affects the optimization of the national energy structure and the realization of ecological goals. However, traditional building material enterprises generally face practical challenges such as low resource utilization efficiency, insufficient digitalization and greening integration of the industrial chain, and weak green innovation momentum. The transformation actions of a single entity are difficult to break through systemic bottlenecks, and it is urgently necessary to establish a dynamic evolution mechanism involving multiple entities in collaboration. This paper aims to explore the evolutionary rules and stability of digital green (DG) transformation strategies of building materials enterprises (BMEs) under multi-agent interactions involving government, universities, and consumers. Centering on BMEs, a four-party evolutionary game model among the government, enterprises, universities, and consumers is constructed, and the evolutionary processes of strategic behaviors are characterized through replicator dynamic equations. Using MATLAB R2022 (Version number: 9.13.0.2049777) bnumerical simulations, this study investigates how key parameters, such as government subsidies, penalty intensity, and consumers’ green preferences, affect the transformation pathways of enterprises. The results reveal that the DG transformation behavior of BMEs is significantly influenced by governmental policy incentives and universities’ knowledge innovation. Stronger subsidies and penalties enhance enterprises’ willingness to adopt proactive DG strategies, while consumers’ green preferences further accelerate transformation through market mechanisms. Among multiple strategic combinations, active DG transformation emerges as the main evolutionarily stable strategy. This study provides a systematic multi-agent collaborative analysis framework for the transformation of BME DG, revealing the mechanisms by which policies, knowledge, and market demands influence enterprise decisions. Thus, it offers theoretical and decision-making references for the green and low-carbon transformation of the building materials industry. Full article

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, primarily driven by chronic inflammation from viral hepatitis, metabolic dysfunction, alcohol-induced liver disease, and cirrhosis. Conventional therapies often fail in advanced stages, highlighting the need for mechanism-based, precision-guided interventions. Plant-derived secondary metabolites represent a promising class of bioactive compounds with structural diversity, multitarget activity, anti-inflammatory effects, and favorable toxicity profiles. This review follows a semi-systematic narrative that synthesizes preclinical and experimental evidence on the anti-inflammatory and anticancer properties of key phytochemicals, including epigallocatechin-3-gallate, galangin, resveratrol, quercetin, curcumin, berberine, genistein, and thymoquinone. These compounds consistently modulate critical inflammation-driven signaling pathways, PI3K/AKT/mTOR, NF-κB, JAK/STAT, Wnt/β-catenin, and MAPK, resulting in apoptosis induction, cell cycle arrest, inhibition of angiogenesis, and reduced invasion and metastasis in multiple HCC models. Despite strong preclinical evidence, clinical translation remains limited by variable bioavailability, incomplete safety data, and insufficient human studies. A staged development strategy is recommended: standardized formulations, Good Laboratory Practice-compliant pharmacokinetic/toxicology studies, validation in patient-derived models, and early-phase, biomarker-guided clinical trials with combination therapy arms. Addressing regulatory, manufacturing, and quality control considerations will be essential for advancing these compounds as adjuvant or complementary agents in precision HCC therapy. Full article

It has been well established that biofilm formation plays a critical role in the pathogenesis of various plant pathogenic bacteria. However, research on this process in Paracidovorax citrulli, the causal agent of bacterial fruit blotch (BFB) in cucurbits, remains limited. Through screening of the infection pathways of P. citrulli in sweet melon leaves, observing biofilm formation morphology at bacterial colonization sites, and detecting the activities of pathogenicity-related enzymes, this study revealed that P. citrulli readily colonizes Hami melon vascular tissues following inoculation via petiole immersion, petiole dipping, or vine injection. Dense biofilms were observed within the vascular bundles of symptomatic leaf veins. Furthermore, P. citrulli was confirmed to secrete cellulase and pectinase, with enzymatic activities increasing progressively as disease severity intensified. These findings suggest that BFB development in Hami melon is likely associated with the synergistic action of P. citrulli, biofilm-mediated occlusion of xylem vessels and hydrolytic degradation of plant cell walls, which may contribute to initial water-soaked lesions and subsequent vein-associated necrosis in leaf tissues. This study provides a theoretical foundation for further elucidation of the pathogenic mechanisms of P. citrulli. Full article

Traditional villages, as carriers of agricultural civilization and ecological wisdom, represent important sites for fostering new-quality productive forces. In the context of rapid urbanization, they function as key spaces for rural development while also confronting vulnerabilities such as spatial functional imbalance and ecological degradation. Within the production–living–ecology (PLE) spaces, dependence on labor-intensive and capital-intensive agricultural models often results in resource misallocation and systemic dysfunction. New-quality productive forces, driven by innovation and green transition, provide a fresh perspective for sustainable rural spatial restructuring. However, their micro-scale mechanisms within traditional villages remain underexplored. This study focuses on 22 nationally recognized traditional villages in Foshan, China. Based on land-use and socioeconomic data from 1993, 2003, 2013, and 2023, we applied land-use transition matrices, a coupling coordination degree model, and geographical detector analysis to examine the evolution of PLE spatial patterns and their driving mechanisms. The findings show that (1) spatially, the share of living space increased significantly, while ecological and agricultural production spaces continued to shrink, reflecting heightened competition among the three; (2) the overall coupling coordination degree exhibited a declining trend, indicating weakened synergy among PLE functions; (3) key drivers of system coordination include per capita disposable income of rural residents, agricultural labor productivity, regional technological innovation capacity, and forest coverage, underscoring the synergistic role of socioeconomic and ecological factors in new countryside development. This study elucidates the micro-spatial pathways through which new rural construction and conservation mechanisms operate, providing a reference for context-sensitive conservation and high-quality development of traditional villages in rapidly industrializing regions. The analytical framework can also be extended to other rural areas undergoing transition. Full article

The sustainable management of water resources and the development of climate-resilient infrastructure depend on the precise identification of water bodies in satellite imagery. This paper presents a novel deep learning architecture that integrates a convolutional block attention module (CBAM) into a modified EfficientNet–UNet backbone. This integration allows the model to prioritize informative features and spatial areas. The model robustness is ensured through a rigorous training regimen featuring five-fold cross-validation, dynamic test-time augmentation, and optimization with the Lovász loss function. The final model achieved the following values on the independent test set: precision = 90.67%, sensitivity = 86.96%, specificity = 96.18%, accuracy = 93.42%, Dice score = 88.78%, and IoU = 79.82%. These results demonstrate improvement over conventional segmentation pipelines, highlighting the effectiveness of attention mechanisms in extracting complex water-body patterns and boundaries. The key contributions of this paper include the following: (i) adaptation of CBAM within a UNet-style architecture tailored for remote sensing water-body extraction; (ii) a rigorous ablation study detailing the incremental impact of decoder complexity, attention integration, and loss function choice; and (iii) validation of a high-fidelity, computationally efficient model ready for deployment in large-scale water-resource and ecosystem-monitoring systems. Our findings show that attention-guided segmentation networks provide a robust pathway toward high-fidelity and sustainable water-body mapping. Full article

This review synthetizes experimental evidence on collagen-related bioactivity and the biomaterial potential of plant species native to the Chihuahuan Desert, aiming to identify natural compounds that could enhance next-generation dermal bioinks for 3D bioprinting. A structured search across major databases included studies characterizing plant extracts or metabolites, with reported effects on collagen synthesis, fibroblast activity, inflammation, oxidative balance, or interactions with polymers commonly used in skin-engineering materials being developed. Evidence was organized thematically to reveal mechanistic patterns despite methodological heterogeneity. Several species, among them Larrea tridentata, Opuntia spp., Aloe spp., Matricaria chamomilla, Simmondsia chinensis, Prosopis glandulosa, and Artemisia ludoviciana, repeatedly demonstrated the presence of bioactive metabolites such as lignans, flavonoids, phenolic acids, terpenoids, and polysaccharides. These compounds support pathways central to extracellular matrix repair, including stimulation of fibroblast migration and collagen I/III expression, modulation of inflammatory cascades, antioxidant protection, and stabilization of ECM structures. Notably, several metabolites also influence viscoelastic and crosslinking behaviors, suggesting that they may enhance the printability, mechanical stability, and cell-supportive properties of collagen-, GelMA-, and hyaluronic acid-based bioinks. The review also reflects on the bioethical and sustainability considerations regarding endemic floral resources, highlighting the importance of responsible sourcing, conservation extraction practices, and alignment with international biodiversity and access to benefit/sharing frameworks. Taken together, these findings point to a promising, yet largely unexplored, opportunity: integrating regionally derived phytochemicals into bioinks to create biologically active, environmentally conscious, and clinically relevant materials capable of improving collagen remodeling and regenerative outcomes in 3D-printed skin. Full article

Background: Obsessive–compulsive disorder (OCD) is a heterogeneous psychiatric condition with substantial heritability. Early genetic studies were often underpowered and produced limited reproducibility, but recent large-scale genomic and multi-omic approaches are beginning to elucidate the genetic architecture of OCD. Objectives: This review aims to synthesise current evidence from recent genomic and epigenomic studies on OCD and their implications for molecular pathways of pathogenesis, including endophenotypes. Methods: We reviewed peer-reviewed literature and preprints published in recent years, focusing on multiple genetic approaches, including genome-wide association studies (GWAS), whole exome sequencing (WES), whole genome sequencing (WGS), and methylome-wide association studies (MWAS). We then integrated the results with endophenotypic evidence at the biochemical, physiological, structural, functional, and executive/cognitive levels. Results: Recent large-scale genomic studies provide strong evidence of a highly polygenic contribution from common variants, while rare coding and structural variants also contribute measurably, with enriched signals in pathways relevant to neurodevelopment and, in some cohorts, early-onset presentations. Epigenomic studies have moved from scattered findings to more replicable methylation patterns, including loci influenced by nearby genetic variation and indications of sex-dependent effects. Although convergence at the single-gene level remains limited, cross-study and cross-omics signals increasingly point to biological domains involving synaptic organisation and plasticity, neurological development and chromatin regulation, immune/stress pathways, and cellular homeostasis. Conclusions: The biology of OCD risk is best represented by an integrative model combining polygenic load, contributions from rare variants, and regulatory (epigenetic) mechanisms that influence intermediate phenotypes at the circuit and cognitive levels. The current findings are not yet clinically applicable for individual diagnosis; however, they may inform future multidisciplinary research frameworks and, in the longer term, contribute to the development of more personalised approaches in OCD. Full article

Sesame (Sesamum indicum L.) is a nutrient-rich oilseed crop whose improvement can be accelerated by unlocking untapped genetic variation in African landraces. We integrated a global meta-quantitative trait loci (QTL) analysis with a genome-wide association study (GWAS) of Ethiopian germplasm to identify molecular markers for plant height and seed coat color. Meta-analysis of eight available data sources revealed six conserved QTL hotspots on chromosomes 3, 4, 6, 8, 9, and 11. Subsequently, GWAS on 200 Ethiopian accessions, represented by 3683 SNPs, detected 36 significant associations, including novel loci on chromosomes 12 and 13 not reported in Asian-focused research. Candidate genes assigned to these loci implicated key hormonal and transcriptional mechanisms: brassinosteroid biosynthesis (CYP90B1) and ethylene signaling (AP2/ERF) probably regulate plant architecture, while transcription factors (WRKY23, DOF3.1, and SBP-like) modulate flavonoid pathways controlling seed coat pigmentation. Analyses of population structure revealed two distinct groups (K = 2), and linkage disequilibrium (LD) decayed rapidly (~190 kb), which allows fine-mapping. The present study presents validated molecular markers and candidate genes for marker-assisted selection in sesame breeding. Full article

Cervical cancer is strongly associated with persistent infection by high-risk human papillomavirus (HPV). Recent advances in immunotherapy have redefined the therapeutic landscape of this disease. We aim to review the biological rationale, clinical evidence, and biomarker standardization supporting the use of immune checkpoint inhibitors (ICIs) in cervical cancer. A comprehensive review of recent literature and pivotal phase II–III clinical trials was performed, focusing on the PD-1/PD-L1 and CTLA-4 pathways, mechanisms of immune evasion, and predictive biomarkers. Persistent HPV infection leads to immune dysregulation and PD-L1 upregulation through E6/E7-mediated activation of the PI3K/AKT/mTOR and JAK/STAT pathways. ICIs have demonstrated significant improvements in overall survival, progression-free survival, and objective response rates in advanced and recurrent disease. PD-L1 immunohistochemistry using standardized assays such as 22C3 pharmDx and SP263 remains the key biomarker for treatment selection, while emerging molecular markers (TMB, MSI, HLA-I expression) are under investigation. Immunotherapy represents a major step forward in cervical cancer management, integrating molecular diagnostics and immune modulation into clinical practice. Continued efforts to refine biomarkers, optimize combination strategies, and expand global access will be essential to achieve equitable outcomes and disease elimination goals. Full article

Segmented filamentous bacteria (SFB) are host-specific, immune-modulating microorganisms that colonize the small intestine of various vertebrate species, playing a crucial role in stimulating immune maturation during early life. Previous research on the genomes of SFB from humans, rats, and mice has revealed significant differences among SFB strains associated with various hosts, suggesting that their evolution is closely linked to their relationships with specific hosts. However, the genome of SFB from chickens has not been extensively investigated. In this study, we present the metagenomic reconstruction of an SFB genome derived from the ileum of layer Lohmann Select Leghorn (LSL) chickens. We utilized Hi-C sequencing techniques to assemble the LSL-SFB and annotate the avian SFB from both turkeys and chickens. Our reference-guided consensus assembly, followed by Hi-C scaffolding, produced a high-quality genome for LSL-SFB. Our pangenomic analysis revealed substantial conservation of core gene clusters among mammalian SFB strains, but we also identified a distinct repertoire of genes in chicken and turkey SFB. Furthermore, metabolic network analysis indicated a reduced capacity for biosynthesis, signifying an increased reliance on the host, as shown by the absence of key biosynthetic and utilization pathways. We also discovered a unique flagellin subunit (fliC-2) in chicken SFB from different genetic lines and confirmed its interaction with the chicken flagellin receptor, Toll-like receptor five. This study provides the first high-quality genome and annotation of LSL-SFB, alongside that of turkeys, offering valuable insights into the mechanisms of host specificity and adaptation. Understanding the interactions between host-specific SFB and their hosts, as well as their role in promoting immune maturation, is essential for improving intestinal health. Full article

Stripe rust of wheat, caused by the obligate biotrophic fungus Puccinia striiformis f. sp. tritici (Pst), is a devastating disease. The natural degeneration and viability loss of Pst urediniospores directly impact its dispersal and epidemic potential, yet the underlying molecular mechanisms remain unclear. This study aimed to systematically decipher the key molecular changes during the natural degeneration of Pst urediniospores using a multi-omics approach. We performed integrated transcriptomic (RNA-seq) and metabolomic (LC-MS) analyses on relatively purified fresh urediniospores (CC group) and those undergoing room-temperature-induced degeneration (CM group) of the prevalent Pst race CYR34. A total of 1622 differentially expressed genes (DEGs) and 382 differentially accumulated metabolites (DAMs) were identified. Transcriptomic analysis revealed significant downregulation of core energy and biosynthetic pathways, including ribosome biogenesis and oxidative phosphorylation. Metabolomic profiling showed that lipids and lipid-like molecules, along with organic acids and derivatives, constituted the major classes of altered metabolites. DAMs were primarily enriched in pathways such as “Metabolic pathways” and “ABC transporters.” Integrated analysis indicated a prevalent negative correlation pattern between gene expression levels and metabolite abundance. This study provides a systematic molecular landscape associated with Pst urediniospore degeneration, revealing characteristics concomitant with the suppression of energy metabolism and translation functions, thereby offering novel insights and a data foundation for understanding the mechanisms of viability maintenance and loss. Full article

Mitochondria serve as an essential component in the maintenance of cardiac function, and targeting them may represent a promising approach to handling heart failure (HF). HF in this review refers to various etiologies, including ischemic cardiomyopathy, dilated cardiomyopathy, and hypertrophic cardiomyopathy, unless otherwise specified. Mitochondrial dysfunction, a distinctive feature of HF, leads to a progressive decrease in bioenergetic reserves due to switching of energy production from oxidation of fatty acids in mitochondria to glycolytic pathways. The main problem in developing methods to improve mitochondrial function lies in the fact that protein preparations injected through the bloodstream cannot enter cells through the plasma membrane. Modern gene therapy involving the delivery of missing genes to cells using adeno-associated virus (AAV) vectors has the potential to improve the function of cardiomyocytes (CMCs). This type of therapy aims to target proteins that have been lost, damaged, or altered due to pathological conditions in the myocardium. This review summarizes pathophysiological mechanisms associated with mitochondrial dysfunction, which is mainly caused by increased oxidative stress and impaired mitochondrial biodynamics under HF progression. It also addresses possible ways to modulate these processes using gene therapy. Special attention is paid to modern characteristics of AAVs that can be used as vectors for the efficient delivery of desired genes to CMCs. Full article

This study examines the performance implications of CEO duality from a configurational governance perspective, with particular attention given to its relevance within an ESG-oriented framework. While prior research on CEO duality has produced inconsistent findings, much of the literature relies on variable-centered approaches that overlook the systemic and context-dependent nature of governance mechanisms. Drawing on agency theory, stewardship theory, and resource dependence theory, we analyze 59 publicly listed South Korean firms between 2018 and 2022 using fuzzy-set qualitative comparative analysis (fsQCA). Five governance-related conditions—CEO duality, ownership concentration, CEO tenure, institutional ownership, and environmental dynamism—are calibrated into fuzzy sets to identify causal configurations associated with high firm performance, defined as membership in the top 30% of return on assets (ROA). The results reveal six equifinal pathways to high performance, two of which exhibit particularly strong consistency and coverage. These dominant configurations show that CEO duality contributes positively to performance when embedded in either strong internal governance alignment or robust external monitoring under dynamic conditions. By demonstrating that the effectiveness of CEO duality is contingent upon its governance configuration, this study challenges one-size-fits-all prescriptions and contributes to the ESG literature by highlighting the conditional role of leadership structure in sustainable value creation. Full article

Formaldehyde-based adhesives pose health and environmental risks that hinder sustainable development of the wood-based panel industry. To address the issue that “formaldehyde emissions endanger human health and ecological safety, constraining industry sustainability,” this study aims to promote the development and application of formaldehyde-free biomass-based adhesives. Centering on technological feasibility, policy compatibility, and governance effectiveness, this research adopts a multi-dimensional systems analysis method to systematically review global progress in research and industrial application of biomass-based formaldehyde-free adhesives. The results indicate the following: (1) biomass adhesives exhibit substantial potential in mechanical performance and ecological benefits; (2) their large-scale application faces obstacles including cost, performance stability, and insufficient policy coordination; and (3) building an integrated technology–policy–governance synergy framework is the key pathway to industrialization. This study provides scientific guidance for scaling up biomass adhesives and achieving ecological civilization goals. Full article