Search Results (37,427)

Background: This study examines the competitive dynamics of the artisanal wooden furniture industry in Misantla, Veracruz, Mexico, a predominantly informal productive system characterized by family-managed production units and strong territorial embeddedness. Methods: A mixed-methods research design was employed. Quantitative data were collected from 187 family-managed production units (86 woodworking units and 101 workshops) using a structured questionnaire based on five-level Likert scales assessing external efficiency, collective efficiency, and innovation. Statistical analyses included descriptive measures and chi-square tests to examine associations between competitiveness and collective strategies, while qualitative validation and thematic interpretation based on expert assessments were used to contextualize sectoral practices and structural constraints. Results: The findings indicate a low overall competitiveness score (1.92/5), associated with informal practices, limited technical training, and weak supply chain integration. Despite these constraints, the sector maintains a strong cultural identity and contributes to its local economy. Conclusions: Artisanal supply chains can achieve functional levels of logistics performance through internal coordination dynamics. Strengthening collaboration mechanisms is a viable strategy for improving logistics performance in artisanal manufacturing systems in emerging economies. These findings provide empirical evidence to support the design of collaborative strategies that integrate traditional craftsmanship with modern supply chain practices in artisanal micro-industries. Full article

Background: Melanoma is one of the most dangerous types of skin cancer, with its global incidence having surged in recent years. There exists an urgent clinical need for novel therapeutic strategies that combine high efficacy, low toxicity, and multiple mechanisms of action. Methods: This study applies a “Property Optimization and Therapeutic Synergy” strategy, selecting the natural active polysaccharide component, Cordyceps polysaccharides (WCP), as a functional carrier to encapsulate the broad-spectrum chemotherapeutic agent, 10-Hydroxycamptothecin (10HCPT, HCPT). Leveraging non-covalent interactions between the two components, a self-assembly nanoscale drug delivery system (H-W NPs) with high stability and dual antitumor activity was constructed to achieve more efficient and precise antitumor effects. Results: The H-W NPs demonstrated outstanding antitumor efficacy both in vitro and in vivo. The H-W NPs achieved a threefold increase in the inhibition rate against B16-F10 cells compared to free HCPT in vitro and demonstrated a remarkable tumor inhibition rate of 95.08% in vivo. The therapeutic effect may be attributed to the dual antitumor mechanisms of the H-W NPs. Mechanistic studies revealed a synergistic dual-mode of action driving this potent efficacy. Firstly, H-W NPs efficiently induced caspase-3-mediated apoptosis in tumor cells. RNA sequencing analysis suggested the involvement of pathways related to cell cycle arrest and apoptosis. Additionally, H-W NPs promoted the expansion and activation of CD8⁺ T cells in the spleen. These activated cytotoxic T cells reinforced the apoptotic cascade, effectively amplifying the caspase-3-mediated death signal. Conclusions: In summary, the self-assembly nanoscale drug system achieved potent antitumor efficacy through the synergistic action of direct tumor cell killing and immune modulation, offering a highly promising strategy for the development of novel formulations against melanoma. Full article

Background: Diabetic kidney disease is a major complication of type 2 diabetes mellitus (T2DM) and a leading cause of chronic kidney disease (CKD) worldwide. While diabetes duration is often considered a marker of cumulative metabolic exposure, its independent contribution to renal decline beyond aging and hypertension remains incompletely defined. Methods: We conducted a cross-sectional study including 250 adults with T2DM. Diabetes duration was analyzed both as a continuous variable and across four predefined strata (0–4, 5–9, 10–14, and ≥15 years). The primary endpoint was estimated glomerular filtration rate (eGFR), analyzed as a continuous outcome. Functional CKD was defined as eGFR < 60 mL/min/1.73 m². Linear and logistic regression models were constructed in unadjusted and adjusted forms (age, sex, BMI, hypertension, HbA1c). A sensitivity analysis modeling duration per 5-year increase was performed. Results: Mean eGFR declined significantly across duration strata (82.45, 84.27, 78.72, and 61.57 mL/min/1.73 m², respectively; p < 0.001). The prevalence of functional CKD increased markedly in patients with ≥15 years of diabetes (54.2%) compared with shorter-duration groups (~15–18%; p < 0.001). In linear regression, each additional year of diabetes was associated with a 1.32 mL/min/1.73 m² decline in eGFR (p < 0.001), remaining significant after adjustment (β = −0.85; p < 0.001). In logistic regression, each additional year was associated with a 10.7% increase in adjusted odds of CKD (OR = 1.11; 95% CI 1.04–1.17; p < 0.001). Each 5-year increment conferred a 66% increase in adjusted CKD risk (OR = 1.66; 95% CI 1.25–2.21; p < 0.001). Patients with ≥15 years of diabetes had nearly fourfold higher adjusted odds of CKD compared with those with 0–4 years (OR = 3.90; 95% CI 1.42–10.75; p = 0.008). Conclusions: Diabetes duration is strongly and independently associated with declining kidney function. Prolonged disease exposure confers a substantial increase in CKD risk, even after adjustment for age, hypertension, and metabolic factors. These findings highlight the progressive nephrotoxic impact of cumulative hyperglycemic exposure and underscore the need for early and sustained nephroprotective strategies in T2DM. Full article

Reactive oxygen species (ROS) are inevitable byproducts of aerobic metabolism that exert a dual role in biological systems. At physiological levels, tightly regulated ROS levels function as essential signaling molecules regulating cellular communication, immune defense, metabolic adaptation, and maintenance of tissue homeostasis. However, excessive or deregulated ROS production disrupts redox balance and contributes to oxidative stress, a key factor in the onset and progression of numerous pathogenesis. This review provides an updated and integrated overview of ROS biology, summarizing their major types, cellular and molecular sources, and physiological functions, highlighting their significance in physiological redox signaling and oxidative stress-mediated disease mechanisms. Key molecular pathways involved in ROS-induced cell damage, redox imbalance, and signaling dysregulation are discussed. In addition, contemporary and emerging approaches for the detection and quantification of ROS and oxidative stress in clinical and preclinical samples—such as biochemical assays, fluorescent probes, biosensors, and advanced imaging techniques—are critically evaluated. The contribution of oxidative stress to the pathophysiology of major disorders, including cancer, diabetes, cardiovascular diseases, neurodegenerative conditions, and inflammatory disorders, is also examined. Finally, this review highlights future perspectives in precision redox medicine, emphasizing the potential of targeted antioxidant-based diagnostic and therapeutic strategies supported by advances in ROS detection technologies and a deeper understanding of redox-regulated biological processes. Full article

The sodium–hydrogen exchanger-1 (NHE1) is a ubiquitously expressed transmembrane transporter that plays a central role in maintaining intracellular pH homeostasis and supporting normal cellular function. In cancer, NHE1 is overexpressed in many tumor types and has been associated with increased cancer cell metastasis and proliferation. Beyond these established roles, emerging evidence implicates NHE1 as a regulator of cancer cell metabolism. By driving intracellular alkalinization and shaping the tumor microenvironment, NHE1 influences metabolic pathway activity, mitochondrial function, redox balance, and cellular stress responses. In this review, we synthesize current evidence linking NHE1 dysregulation to metabolic reprogramming in cancer, with a focus on mitochondrial metabolism, glycolytic flux, lysosomal biology, and reactive oxygen species-associated stress pathways. We further evaluate pharmacological strategies targeting NHE1, emphasizing their metabolic consequences, translational potential, and the challenges that have limited clinical application to date. Collectively, this review highlights NHE1 as a potential integrator of ion transport and metabolic control in cancer and discusses how targeting NHE1-driven metabolic programs may support the development of novel therapeutic strategies. Full article

Breast cancer (BC) is a highly heterogeneous genetic disease, comprising several subtypes with distinct features that significantly influence prognosis and treatment outcomes. Among these subtypes, triple-negative breast cancer (TNBC) is particularly aggressive and makes it resistant to many standard therapies. Epigenetic mechanisms, including acetylation and deacetylation, are crucial in regulating gene expression and maintaining normal cellular functions and are closely associated with BC progression. In this context, the histone deacetylases sirtuins (SIRT1-7) regulate key biological processes like genomic stability, inflammation, cellular senescence, and metabolic functions, increasingly linked to cancer. In particular, SIRT1 shows dual roles, functioning both as a tumor suppressor or an oncogene, contributing to cancer initiation, progression, and metastasis as well as chemotherapy resistance. Despite extensive research in the past decade, the exact role of SIRT1 in BC, especially in TNBC, remains controversial. Recent findings suggest that SIRT1 can be modulated not only through pharmacological approaches but also using natural extracts, offering potential alternative or complementary therapeutic strategies. Additionally, SIRT1 activity is regulated by a complex network of miRNAs, highlighting the need for further investigation. This review aims to summarize recent studies to identify key insights into the role of SIRT1 and explore it as a potential therapeutic target in BC. Full article

Large DNA fragment deletion (LDFD) provides a powerful means to reconfigure plant genomes at the kilobase to megabase scale, enabling the dissection of genome function, elucidation of non-coding regulatory elements, modulation of gene dosage, reorganization of chromosomal architecture, and implementation of synthetic biology designs. In this review, we systematically compare the mechanisms, efficiencies, advantages, and limitations of the major LDFD technologies that have been applied in plants, including ZFNs, TALENs, CRISPR/Cas systems (Cas9, Cas12a, Cas3), site-specific recombinases, transposon-based systems, and prime editing-derived strategies. We highlight how plant-specific features of chromatin organization and DNA repair constrain large deletions, and discuss the current bottlenecks in achieving efficient, precise, and predictable LDFD across diverse crop genomes. Finally, we outline future directions for plant LDFD, emphasizing AI-assisted design of nucleases and recombinases, protein-directed evolution, and improved DNA- and RNP-based delivery systems. Together, these advances are expected to transform LDFD from a specialized tool into a broadly accessible platform for functional genomics, trait engineering and rational genome design in plants. Full article

Background: Chronic liver fibrosis is a progressive pathological condition characterized by excessive extracellular matrix deposition and architectural remodeling, which may ultimately lead to cirrhosis and liver failure. Although mesenchymal stem cells (MSCs) exhibit antifibrotic and immunomodulatory properties, their therapeutic effects in established chronic liver fibrosis remain incompletely defined. This study aimed to evaluate the biochemical, hematological, and histopathological effects of MSC therapy in a chronic thioacetamide-induced liver fibrosis model. Methods: A controlled preclinical experimental study was conducted using rats with liver fibrosis induced by intraperitoneal thioacetamide administration for 24 weeks. Animals were allocated into three groups: control, untreated fibrosis, and fibrosis treated with MSCs derived from human umbilical cord tissue after fibrosis establishment. Serum biochemical markers, hematological parameters, and liver histopathology were assessed. Fibrosis severity was evaluated using hematoxylin–eosin and Masson’s trichrome staining and graded according to the METAVIR scoring system. Results: Thioacetamide exposure induced chronic liver injury characterized by marked elevations in serum transaminases, reduced albumin and total protein levels, hematological alterations, and early-to-intermediate fibrosis stages (METAVIR F1–F2). MSC-treated animals exhibited approximately 40–45% reductions in transaminase levels, partial recovery of hepatic synthetic function, and attenuation of hematological alterations. Histopathological analysis demonstrated a reduction in fibrotic burden and limitation of fibrogenic progression within METAVIR F1–F2 stages. Conclusions: MSC therapy partially mitigates biochemical, hematological, and histopathological alterations associated with chronic thioacetamide-induced liver fibrosis, supporting its potential as a modulatory strategy to attenuate fibrogenic progression and stabilize liver function rather than as a curative intervention. Full article

The wine ecosystem constitutes a highly selective ecological niche characterized by low pH, high ethanol levels, sulfur dioxide, polyphenols, and nutrient limitation. During malolactic fermentation, this environment becomes dominated by specialized lactic acid bacteria (LAB), particularly Lactiplantibacillus plantarum and Oenococcus oeni, whose persistence under such stressors suggests the presence of adaptive traits relevant to probiotic development. In this study, twenty-three LAB isolates obtained from the spontaneous wine ecosystem were systematically evaluated through a multi-stage screening strategy. Primary single-factor assays revealed pronounced inter- and intraspecies variability in tolerance to acid, lysozyme, and bile salts. As a result, all O. oeni isolates and eight L. plantarum strains were excluded from further consideration. The four selected L. plantarum isolates (M-1, SY-2, XJA2, and XJ14) were subsequently subjected to simulated gastrointestinal challenges. Strains M-1 and XJ14 maintained high viability across both gastric and intestinal phases. In contrast, SY-2 and XJA2 exhibited pronounced gastric sensitivity but demonstrated strong survival in the intestinal phase. Functional characterization further distinguished the isolates: M-1 and XJ14 displayed balanced probiotic profiles, whereas XJA2 exhibited exceptional auto-aggregation and efficient metabolic capacity, suggesting specific colonization potential despite its gastric vulnerability. Comprehensive safety assessments confirmed the absence of hemolytic activity, biogenic amine production, and acquired antibiotic resistance in the tested isolates. Collectively, these findings identify M-1 and XJ14 as promising candidates for direct probiotic application, and XJA2 as a promising functional strain for encapsulation-based delivery. This study highlights the wine ecosystem as a valuable reservoir for novel probiotic development. Full article

Driven by agricultural labor shortages and rising quality requirements, ginger harvesting increasingly demands high-throughput, low-damage operations and a reliable supply chain. This review summarizes harvesting modes and harvester types used in ginger production, with emphasis on critical process modules: digging and lifting, soil disintegration and cleaning, vine cutting and anti-tangling, gentle conveying, and collection. We compare major technical routes in terms of field capacity, control of soil and foreign materials, damage mitigation, and reliability under continuous operation, and identify the conditions under which each route performs best. Drawing on advances in harvesting systems for other root and bulb crops, we outline transferable approaches for intelligent sensing, precision control, and system-level integration. We then propose an online monitoring and closed-loop regulation framework for strongly coupled conditions, such as heavy clay soils, plastic-mulch residues, and vine interference. Key bottlenecks include limited cross-regional adaptability, persistent trade-offs between low damage and high throughput, cost constraints on intelligent functions, and the lack of shared datasets and standardized evaluation protocols. Future progress should be anchored in integrated equipment sets and supporting operating specifications, guided by multi-source sensing-based quality indicators and interpretable control strategy libraries, to reduce harvest losses, stabilize marketable quality, improve operational efficiency, and enable scalable adoption. Full article

The increasing demand for efficient last-mile delivery has spurred interest in optimizing vehicle and drone routing. This review presents a novel classification of synchronization levels: (i) non-synchronized scenarios, where vehicles and drones operate independently; (ii) low synchronization level scenarios, where one party is passive in the delivery process; (iii) high synchronization level scenarios, where both parties cooperate using diverse strategies. The primary objective is to identify and classify functional preferences of vehicles and drones across these synchronization scenarios. We offer a unique perspective by analyzing the functional setups of vehicles and drones along with synchronization aspects like drone flight synchronization and vehicle synchronization. To the best of our knowledge, these detailed setups based on the operational functionalities of vehicles and drones in last-mile delivery has not been previously explored in the literature. Through a systematic review of the literature, we identify key challenges and emerging trends in vehicle and drone route planning within these scenarios which enable researchers to systematically understand and design vehicle–drone delivery systems. This paper integrates existing models and solution methods and provides new insights into the interactions between vehicle and drone functionalities in last-mile delivery. By analyzing solutions across different synchronization scenarios, it guides researchers in choosing appropriate methodologies and identifying future research directions. Our work presents a novel classification framework, enabling a comprehensive understanding of how the functional setups of vehicles and drones under different synchronization levels influence route planning, thus offering both theoretical and practical insights for advancing last-mile delivery optimization. Full article

Enrofloxacin (ENR), as a widely used antimicrobial agent in aquaculture, poses potential risks to ecosystems and human health due to its environmental persistence. Therefore, it is of great significance to explore efficient methods for removing ENR from aquaculture wastewater. In this study, a series of shrimp shell-derived aerogel (MBC300–MBC700) were fabricated from Litopenaeus vannamei shells through chemical modification followed by pyrolysis at 300–700 °C, and their adsorption performance and mechanisms toward ENR were systematically investigated. The modified porous materials exhibited a well-developed micro–mesoporous structure, high specific surface area, and abundant surface functional groups. Meanwhile, MBC400 demonstrated the highest adsorption capacity for ENR, reaching 14.56 mg/g, with a corresponding specific surface area of 77.71 m²/g. The adsorption kinetics followed the pseudo-second-order model, and the isothermal data were better fitted by the Freundlich model, indicating a chemisorption-dominated, heterogeneous multilayer adsorption process. Thermodynamic analysis revealed that the adsorption was spontaneous (ΔG < 0) and endothermic (ΔH > 0). In regeneration experiments, 30% ethanol solution achieved the best desorption efficiency for MBC400, with adsorption efficiency remaining above 75% after three cycles. Based on the characterization and adsorption results, adsorption mechanism of ENR on MBC400 was elucidated as a synergistic effect of hydrogen bonding, π–π stacking, electrostatic interaction, and surface complexation. This study provides a novel strategy and theoretical basis for the high-value utilization of shrimp shell waste and for the efficient removal of fluoroquinolone antibiotics from aquaculture effluents. Full article

Volcanic lava has a complete primary succession; the plant community composition can explain a great part of the variation of soil microbial diversity and community structure. Bacteria dominate the soil microbial communities in abundance and diversity, and they are important drivers of organic matter decomposition and nutrient cycling. With 16S rRNA Illumina Miseq sequencing techniques, we analyzed the soil bacterial communities and diversities associated with different vegetation types in Wudalianchi. Shrub soils had the highest pH, MC, TOC, TN, AP, AN and NN, whereas moss soils had the lowest. The Shannon, Ace, and Pd indices of bacteria showed significant differences in the different vegetation types (p < 0.05). Bacterial Ace, Shannon, and Simpson indices peaked in Herb and Shrub is highest. The Proteobacteria, Actinobacteriota, Acidobacteriota, Planctomycetota and Chloroflexota were the most abundant groups at phyla level. Bacterial community composition varied significantly across vegetation types (p < 0.05). At the family level, Pseudonocardiaceae predominated in moss soils. Redundancy analysis and correlation analysis revealed MC, pH, and TP as key environmental factors shaping bacterial communities. Functional predictions based on taxonomic data indicated that chemoheterotrophy and aerobic chemoheterotrophy were the predominant functional groups. In conclusion, although soil microbial composition and diversity differed markedly across vegetation types following volcanic eruptions, functional groups prioritized carbon fixation strategies. Full article

The proliferation of generative artificial intelligence (AI) as an autonomous recommendation agent fundamentally challenges traditional paradigms of marketing communication. As AI systems increasingly mediate consumer–brand relationships, understanding how artificial agents construct persuasive discourse—distinct from human communicators—becomes critical for developing effective dual-channel marketing strategies. Grounded in Source Credibility Theory and the Computers Are Social Actors (CASA) paradigm, this study investigates the semantic and structural divergence between AI-generated product recommendations and human influencer marketing messages in social commerce contexts. Employing a mixed-methods computational approach integrating term frequency analysis, TF-IDF weighting, Latent Dirichlet Allocation (LDA) topic modeling, and BERT-based contextualized semantic embedding analysis (KR-SBERT), we examined 330 Instagram influencer posts and 541 AI-generated responses concerning inner beauty enzyme products—a hybrid category combining functional health claims with hedonic beauty appeals—in the Korean social commerce market. AI-generated responses were collected through a systematically designed query protocol with empirically grounded prompts derived from actual consumer search behaviors, and analytical robustness was verified through sensitivity analyses across multiple parameter thresholds. Our findings reveal a fundamental divergence in persuasive architecture: human influencers construct experiential narratives exhibiting message characteristics typically associated with peripheral-route cues (sensory descriptions, emotional testimonials, social context), while AI recommendations employ systematic, evidence-based discourse exhibiting message characteristics typically associated with central-route argumentation (functional mechanisms, ingredient specifications, objective criteria). Topic modeling identified four distinct thematic clusters for each source type: human discourse centers on embodied experience and relational consumption, whereas AI discourse organizes around informational utility and rational decision support. Jensen–Shannon Divergence analysis (JSD = 0.213 bits) confirmed moderate distributional divergence, while chi-square testing (χ² = 847.23, p < 0.001) and Cramér’s V (0.312, indicating a medium-to-large effect) demonstrated statistically significant and substantively meaningful differences. These findings extend CASA theory by demonstrating that AI recommendation agents develop a characteristic “AI communication signature” distinguishable from human persuasion patterns. We propose an integrated Dual-Agent Persuasion Proposition—synthesizing CASA, ELM, and Source Credibility perspectives—suggesting that AI and human recommenders serve complementary functions across different stages of the consumer decision journey—a proposition whose predictions regarding sequential persuasive effectiveness and consumer processing routes await experimental validation. These findings carry implications for AI content strategy optimization, platform design, and emerging regulatory frameworks for AI-generated content labeling. Full article

Selenium (Se) enrichment in yeast represents a promising strategy for producing organic Se with high bioavailability. However, a systematic understanding of how Se incorporation alters intact protein structure and function across diverse strains remains lacking. This study investigated four yeast species (Saccharomyces cerevisiae, Kluyveromyces marxianus, Kluyveromyces lactis, and Torulaspora delbrueckii) using multi-spectroscopic and radical scavenging assays. Despite moderate growth inhibition (10.4–27.7%), all strains accumulated substantial Se (1164–2858 µg/g). Structural analysis revealed that Se induced strain-dependent protein conformational perturbations. Specifically, in selenium-enriched Saccharomyces cerevisiae, where Se was predominantly incorporated as selenomethionine (SeMet, 85.80%), a significant structural relaxation occurred. This was characterized by decreased rigid β-sheet content, increased flexible random coils, and a substantial enhancement in surface hydrophobicity. Crucially, Pearson correlation analysis revealed that functional enhancements were synergistically governed by specific Se speciation and secondary structural remodeling. Enhanced DPPH^• scavenging activity was positively correlated with changes in β-sheet and random coil structures. Selenomethionine content was also significantly correlated with increased scavenging of ^•OH and ABTS^•+. Consequently, Saccharomyces cerevisiae uniquely achieved highly significant (p < 0.001) antioxidant improvements, whereas other strains showed moderate or non-significant responses despite high Se yields. Our findings demonstrate that the antioxidant efficacy of selenoproteins is not solely determined by total Se content but is fundamentally driven by the targeted bioconversion of SeMet and its associated structural relaxation. Full article