Search Results (7,375)

This article presents the design and development of an interactive architecture oriented toward the management of traditional vallenato, a musical genre recognized as an Intangible Cultural Heritage of Humanity by UNESCO. Architecture combines the principles of contextual awareness and the use of massive open online courses (MOOCs) to face the current challenges of preservation, dissemination, and teaching of this cultural expression, threatened by commercialization and the loss of its traditional roots. Through a modular structure, adaptive technological tools are integrated to capture, process, and use contextual information, personalizing learning experiences and strengthening the link between communities and their cultural heritage. The proposal consists of several functional layers, including context management, user profiles, educational resources, and a persistence unit, each designed to ensure the interoperability and sustainability of cultural data. In addition, the capacity of architecture to be used in other cultural contexts is highlighted, expanding its impact on different artistic manifestations and heritages worldwide. This article includes a comparative analysis with other existing models, highlighting the advantages of this solution in terms of customization and adaptability. Finally, opportunities for improvement and expansion are explored, as well as the pending challenges in the implementation of this technological tool in educational and cultural environments. Full article

Ceratitis capitata (Diptera: Tephritidae), or medfly, is an invasive pest widespread in Argentina, where standardized management methods, such as cultural and chemical controls, are commonly implemented. The success in controlling medfly populations depends on implementing preventive, sustainable, long-term, and eco-friendly eradication/control strategies across all invaded environments. One strategy may involve augmentative biological control using parasitoids adapted to local conditions, such as Ganaspis pelleranoi (Brèthes) (Hymenoptera: Figitidae), a Neotropical-native parasitoid that mostly forages on tephritid larvae in a broad range of fallen fruit. Two hypotheses were tested in the current study: (1) G. pelleranoi females are more efficient in controlling medfly larvae infesting different fruits as the density of released females progressively increases, and (2) such parasitoid-induced host mortality capacity remains when host density is increased. Parasitism (reproductive effects) and additional host mortality (non-reproductive effects) were the indicator variables of parasitoid-induced host ability. Trials were performed in field cages (semi-field conditions) using two medfly-multiplier host fruit species, namely sour orange and peach, and with variations in both parasitoid release and host larval densities. Three major findings were highlighted: (1) G. pelleranoi females successfully parasitized host larvae on peach and sour orange, regardless of their strongly differing physical features, although medfly larvae in peaches were significantly more susceptible to the parasitoid; (2) medfly mortality significantly increased in both peach and sour orange relative to the gradual increase in released G. pelleranoi females, regardless of the increase in host density offered to parasitoids; and (3) G. pelleranoi females induced a substantially high host die-off rate when the additional mortality was added to the analysis, which was not revealed when parasitism alone was regarded as a medfly mortality variable. Such outcomes may provide relevant information for implementing an augmentative biological control against medfly using indigenous parasitoid species within an eco-friendly fruit fly pest management approach. Full article

Lower-grade gliomas (LGGs) often follow a relatively protracted clinical course; however, a substantial proportion eventually undergo malignant transformation to high-grade, treatment-refractory disease. This process has traditionally been interpreted in the context of stepwise histopathologic progression and recurrent genetic alterations. Increasing evidence, however, suggests that malignant transformation is more accurately understood as an evolutionary process shaped by the interplay among epigenetic constraints, cell-state plasticity, and selective pressures. In this review, we examine current evidence supporting a model in which early LGGs, particularly isocitrate dehydrogenase (IDH)-mutant tumors, are initially maintained in relatively restricted cellular states by metabolically imposed epigenetic programs, but progressively escape these constraints under the cumulative influence of therapy, hypoxia, immune remodeling, and genomic instability. We summarize recent advances demonstrating that progression from lower-grade to high-grade disease is accompanied by cell-state transitions characterized by altered lineage identity, acquisition of stem-like features, increased proliferative capacity, and adaptation to cellular stress. We further discuss how these transitions are reinforced by microenvironmental evolution, including vascular remodeling, extracellular matrix reorganization, and changes in immune composition, thereby creating conditions that favor clonal expansion, invasion, and therapeutic resistance. Particular attention is given to longitudinal, single-cell, and spatially resolved studies, which collectively indicate that malignant transformation is not a discrete event but a continuous process of evolutionary selection and phenotypic reprogramming. Finally, we discuss the translational implications of this framework for early risk stratification, biomarker development, and mechanism-based therapeutic intervention. By reframing malignant transformation in LGGs as a process of cell-state escape under persistent selective pressure, this review aims to provide an integrated view of glioma progression and to highlight new opportunities for precision monitoring and treatment. Full article

Political polarization and policy uncertainty have become increasingly consequential for regional economic adjustment, yet their joint role in shaping socioeconomic resilience remains underdeveloped in the literature. This study advances the debate by conceptualizing regional resilience as the outcome of a multi-layer socioeconomic system in which external policy disturbances, institutional fragmentation, and structural adaptive capacity interact over time. Using balanced panel data for 16 Korean regions from 2004 to 2023, the analysis develops an integrated empirical framework that combines panel local projections, threshold estimation, structural moderation tests, dynamic robustness checks, and forward-looking machine-learning prediction. The results show that policy uncertainty is associated with lower regional socioeconomic resilience and that this effect persists over time. More importantly, political polarization does not simply accompany weaker resilience; it amplifies the transmission of uncertainty shocks, especially once institutional fragmentation crosses a critical threshold. Structural conditions further shape this process. Digital transformation, industrial diversification, and financial depth reduce vulnerability, whereas trade exposure intensifies it. These findings indicate that resilience is not determined by economic structure alone, nor by institutional instability in isolation. It emerges from the interaction between disturbance, amplification, and adaptive capacity within a regional system. The predictive analysis reinforces this interpretation. Variables identified as central in the econometric models also carry forward-looking information about future vulnerability states. This study therefore contributes not only by combining methods, but by linking explanation and prediction within a single systems-oriented account of regional resilience. The Korean case shows how institutional coherence and structural adaptability jointly condition resilience under uncertainty. Full article

Glycolysis is a defining feature of cancer metabolism, originally described by the Warburg effect. Increasing evidence indicates that cancer-associated glycolysis is not uniformly upregulated but dynamically rewired in response to oncogenic signaling, cellular demands, and microenvironmental cues. However, a framework integrating its temporal evolution and functional roles across tumorigenesis remains limited. In particular, how glycolytic rewiring drives malignant transformation, adapts during tumor progression, and generates context-dependent vulnerabilities has not been systematically synthesized. In this review, we examine glycolysis as a dynamic metabolic network evolving throughout tumor development. We discuss how early glycolytic rewiring, driven by oncogenic signaling and metabolic–epigenetic coupling, supports cell fate transitions and establishes redox and biosynthetic capacity during tumorigenesis. We then outline how glycolysis is remodeled during tumor progression through coordinated transcriptional, epigenetic, and post-translational regulation, as well as microenvironmental interactions and metabolic heterogeneity. Furthermore, we highlight glycolysis as an integrative hub linking immune evasion, cell death regulation, and metabolic plasticity, and discuss how glycolytic rewiring creates context-dependent metabolic dependencies that may be therapeutically exploited, along with emerging technologies that enable high-resolution characterization of tumor metabolism. Together, this review provides a conceptual framework for understanding glycolytic rewiring in cancer and outlines potential avenues for targeting metabolic vulnerabilities. Full article

Understanding the impact of rural digitalization on the resilience of the swine industry is crucial to promoting its transformation toward efficient and low-carbon production. However, existing research has not yet clarified how rural digitalization influences the resilience of the swine industry, and there is a particular lack of discussion regarding potential nonlinear relationships. Based on panel data from 30 Chinese provinces for the period 2011–2023, we employed the entropy method to measure the level of rural digitalization and the resilience of the swine industry. Two-way fixed-effects, mediation, and threshold models were adopted to empirically examine the relationship and underlying mechanisms. The findings indicated that rural digitalization significantly enhances the resilience of the swine industry, and this finding remained robust after multiple robustness checks and endogeneity treatments. This effect is primarily mediated by two pathways: industrial-scale expansion and industrial agglomeration. Additionally, well-designed environmental policies and higher rural household incomes can strengthen the beneficial effect of rural digitalization on industrial resilience. Heterogeneity analysis further reveals that the positive influence is stronger in regions with poor transportation infrastructure and in central and western China, where digitalization effectively strengthens the industry’s shock resistance and adaptive capacity. This study offers meaningful implications for policymakers seeking to accelerate rural digitalization and promote high-quality development of the swine industry in the digital age. Full article

Mental health interventions in rural areas often face systemic and governance barriers that limit their implementation. This study analysed how governance dimensions at the municipal, state, and federal levels influence the perceived feasibility of implementing the Primary Care and Psychiatry Model (MAP-PSI), an early intervention strategy targeting adolescent depression in rural Mexico. A descriptive–interpretative qualitative design was employed, using semi-structured interviews and hybrid (deductive–inductive) content analysis. Participants were purposively selected institutional stakeholders involved in MAP-PSI implementation, including local health managers, state and federal decision-makers, and community-based actors. The coding process was collaboratively developed and validated through consensus and critical reflection among researchers. Five interrelated governance dimensions were identified: local leadership, intersectoral coordination, resource mobilisation, community participation, and institutional adaptability. These dimensions converge in a multilevel governance framework that illustrates how governance capacities across levels can enable or constrain community-based mental health interventions. The findings provide an empirically grounded framework to inform the design, adaptation, and future evaluation of community-based mental health strategies in underserved rural contexts. Full article

This study systematically examines the impacts of extreme temperatures on the digital economy development index and the underlying mechanisms based on panel data from 281 prefecture-level cities in China from 2012 to 2023. This study explicitly distinguishes the distinctive adaptive capacity of the digital economy in responding to climate risks. Through global and local spatial autocorrelation analysis, the study finds that both extreme temperatures and the digital economy exhibit significant spatial clustering. This study employs the spatial Durbin model (SDM) and effect decomposition and further incorporates the GS2SLS estimator alongside dual instrumental variables constructed from historical geographic characteristics to address endogeneity, thereby identifying the asymmetrical impacts of extreme heat and extreme cold on the digital economy with great rigor. Specifically, extreme heat fosters short-term local digital demand that is subsequently translated into long-term growth in IT human capital and infrastructure, thereby increasing the DEDI. However, its net spatial effect is inhibitory due to energy crowding out. Extreme cold, by contrast, primarily disrupts supply chains and intensifies energy consumption, with its impact largely confined to the local scope. Green technological innovation mitigates the impact of extreme heat on the digital economy through demand substitution, while, under extreme cold, it manifests as the physical protection of infrastructure. Meanwhile, an optimized industrial structure substantially reduces the economy’s dependence on supply chains, amplifying the promotional effect of extreme temperatures on the digital economy and reflecting the transformation capacity of regions under complex environmental conditions. Heterogeneity analysis demonstrates that the effects of extreme temperatures vary significantly across different urban agglomerations, economic zones, geographic regions and city types. This study not only extends the theoretical framework for the economic assessment of climate risks and spatial econometric analysis to the climate sensitivity of the digital economy but also provides empirical evidence for understanding the complex relationship between climate change and digital economy development and offers references for differentiated policies in a coordinated regional digital economy. Full article

In ovarian cancer, reactive oxygen species (ROS) are both toxic byproducts and mediators of signaling and stress adaptation, such that the same “ROS change” can suppress or promote tumors in vivo. Here, we integratively summarize how ROS modulation reshapes tumor growth, metastasis, and treatment response in ovarian cancer, based on 22 original in vivo-containing studies that were selected from a five-database search of papers published from January 1990 to December 2025. On the antitumor axis, ROS amplification in xenograft models is accompanied by reduced tumor burden and increased markers of cell death, and can operate through diverse death programs beyond apoptosis, including pyroptosis and ferroptosis. ROS-based anticancer effects may vary depending on whether cytoprotective autophagy is co-induced. For example, in models treated with daphnetin, ROS-dependent cell death occurs together with induction of cytoprotective autophagy and the anticancer effect is strengthened when an autophagy inhibitor is added. In a therapeutic context, autophagy may thus function as an adaptive response in tumor cells to partially buffer ROS-induced stress. Conversely, on the pro-tumor axis, ROS can serve as an upstream signal driving inflammatory and metastatic processes. In a peritoneal metastasis model, GPX1 inhibition-induced ROS elevation was linked to increased metastatic burden. In the context of drug resistance, platinum resistance is proposed to be an adaptive state shaped not by the absolute level of ROS alone, but by integrated ROS-sensing and buffering circuits, the DNA damage response (DDR), and NF-κB networks. In vivo, AMPK–ROS axis activation through ACLY inhibition or resetting of drug responsiveness can be connected to tumor suppression and increased sensitivity. Furthermore, ROS modulation is not limited to tumor cell-intrinsic targets: it can also be linked to therapeutic response reprogramming at the tumor microenvironment (TME) level, such as via regulation of acidity/ROS conditions and coupling to macrophage polarization in immunocompetent syngeneic models. Taken together, these lines of in vivo evidence indicate that, in ovarian cancer, ROS should not be interpreted in a binary “increase/decrease” manner, but rather in terms of redox-buffering capacity, the engaged signaling axes (cell death, DDR, metastasis/inflammation), and interactions with TME factors. Full article

Background/Objectives: The main cause of death in patients with chronic kidney disease (CKD) is of cardiovascular origin. Entropy-based analysis of physiological signals reflects system irregularity, complexity, and adaptive capacity. Amplitude-aware permutation entropy (AAPE) is a signal analysis method suitable for assessing complex cardiovascular dynamics, and growing evidence suggests that measures of physiological signal variability and complexity may have prognostic value. This study aimed to evaluate whether AAPE can predict mortality in CKD patients undergoing hemodialysis (HD), with and without diabetes. The aim of this study was to assess whether AAPE analysis of cardiovascular signals following the administration of a glucose bolus directly into the extracorporeal circuit during hemodialysis (HD)—a method originally used to treat intradialytic hypotension and to study the kinetics of glucose, insulin, and C-peptide in patients with and without type 2 diabetes—can predict mortality in patients with chronic kidney disease (CKD) undergoing hemodialysis (HD), both with and without diabetes. Methods: After seven years of follow-up, mortality outcomes were analyzed in relation to AAPE-derived parameters. Results: Higher mortality was associated with smaller differences in AAPE of mean arterial pressure (MAP) and diastolic arterial pressure (DIA) before and after intravenous glucose administration (p = 0.009 and p = 0.016, respectively). Higher tonicity was associated with higher survival (p = 0.01). Additionally, greater reductions in AAPE of systolic arterial pressure (SYS) and larger differences in AAPE of ejection time (EJT) and total peripheral resistance (TPR) were associated with increased mortality. Conclusions: These findings suggest that entropy analysis reflects cardiovascular adaptability and may serve as a prognostic biomarker in HD patients. Full article

Saline–alkali stress severely limits crop production worldwide. Soybean [Glycine max (L.) Merr.] is particularly sensitive during seed germination, a stage critical for stand establishment. This complex stress environment encompasses two distinct yet equally critical dimensions: neutral salt stress and alkaline salt stress, each eliciting specialized physiological and metabolic responses. Here, a comparative assessment of four genotypes (tolerant: CN16, CN17; sensitive: Williams 82, K18) under 100 mmol/L Na⁺ revealed that alkaline salt stress exerts a significantly more potent inhibitory effect than neutral salt stress. Tolerant cultivars maintained 75–80% germination under alkaline conditions, whereas sensitive ones dropped below 15%, a divergence primarily driven by superior oxidative mitigation capacity. Integrated multi-omics analysis of the tolerant variety CN16 identified stage-specific regulatory shifts: early alkaline salt stress (60 h) triggers extensive transcriptional reprogramming focused on physical barrier reinforcement, including cell walls and lipid remodeling. By 96 h, regulatory modes between the two stress types diverged: neutral salt elicited a transcriptional surge, while alkaline salt transitioned to a metabolically dominant regulation, shifting flux from growth-related isoflavonoids to defense-related anthocyanins. Crucially, this study uncovers the distinct bioenergetic trade-offs governing these responses: whereas adaptation to neutral salt relies on low-energy galactose metabolism, tolerance to alkaline salt demands energy-intensive processes, specifically the active vacuolar compartmentalization of organic acids and anthocyanins for intracellular buffering. This obligatory energy expenditure restricts biomass accumulation, explaining the severe growth penalties observed in complex saline-alkali environments. Finally, the identification of a core regulatory module driven by key genes, including GmPHOT2b, GmLOG, and GmSHMT08, enriches the metabolic regulatory network under saline-alkali stress, providing core targets and a theoretical framework for precisely balancing metabolic expenditure with biomass accumulation in breeding practice. Full article

In the context of intensifying climate change, understanding the spatial heterogeneity of urban climate risk is critical to effective climate governance in the United States. This study takes 251 major Metropolitan Statistical Areas (MSAs) in the United States as the analytical unit and establishes a multidimensional urban climate risk assessment framework covering hazard risk, exposure vulnerability, and adaptive capacity. Principal Component Analysis (PCA) is adopted for dimensionality reduction to extract key factors, and K-means clustering is used to identify the spatial differentiation characteristics of climate risk across these MSAs. The results show that climate risk in U.S. MSAs presents significant spatial disparities and can be categorized into four types: high resource and adaptive capacity, high exposure with insufficient adaptive support, complex socio-environmental vulnerability, and low current vulnerability with latent cumulative risk. Based on these findings, this study proposes targeted policy recommendations, including promoting inter-MSA coordination and adaptive capacity spillover, implementing gray–green integrated infrastructure development and enhancing social resilience in the southeastern coastal regions, strengthening equity orientation in climate governance, and advancing proactive governance of cumulative and chronic risks. These conclusions provide a reference for relevant authorities to formulate climate policies. Full article

Long-distance pulling of submarine cables inside horizontal directional drilling (HDD) steel casings is often limited by high interfacial resistance, rapid pulling-force accumulation, and poor adaptability to muddy-sandy environments. In addition, conventional outward-extending roller devices are relatively bulky, which increases the required casing diameter and reaming size. To address these issues, this study proposes a compact ball-frame and tensioned steel cable series drag-reduction device. An 18 m local full-scale pulling test system was established using an actual engineering submarine cable, a practical-scale steel casing, and full-scale drag-reduction devices. The effects of pipe curvature, device spacing, terminal reaction force, and in-casing medium conditions on the equivalent friction coefficient were investigated. The results show that the equivalent friction coefficient of the submarine cable–steel casing system is maintained at 0.25–0.36 under most test conditions, which is significantly lower than the commonly adopted value of 0.55 for direct contact. Based on the experimentally identified parameters, a simplified assessment model for ultimate pulling length was established for construction scheme comparison and preliminary capacity estimation. The results indicate that, with the implementation of the tensioned steel cable series system, the ultimate pulling length increases from 431/696 m for direct pulling to 954/1424 m. These results provide valuable technical references for drag-reduction scheme selection and preliminary construction-capacity assessment in HDD landfall sections. Full article

Enhancing the resilience of real-economy firms is essential to sustainable development because firms must not only absorb shocks but also maintain long-term adaptive and renewal capacity. Against this background, this study examines whether insurance institutional ownership, as a form of patient capital, is systematically associated with corporate resilience. Using panel data for Chinese A-share listed firms from 2008 to 2024, we construct a multidimensional corporate resilience index based on risk resistance, adaptive recovery, and renewal and development and estimate two-way fixed-effects models. The results show that insurance ownership is positively associated with the baseline corporate resilience index, and this pattern remains qualitatively similar when we examine stock-return volatility, financial performance growth, and a stricter capability-oriented resilience index. The positive association is stronger for state-owned enterprises, small firms, non-manufacturing firms, and firms located in northern China. Channel analysis suggests that insurance ownership is associated with lower agency costs, stronger internal controls, greater external scrutiny, and lower financing constraints, patterns that are consistent with the proposed channels linking insurance ownership to corporate resilience. Further analyses show that higher insurance ownership and increases in insurance holdings are associated with stronger resilience, whereas decreases in holdings are associated with weaker resilience. Long holding duration is negatively associated with resilience, suggesting that performance-evaluation pressure may weaken the long-term governance role of insurance capital. Overall, the findings suggest that insurance investors may support corporate resilience and, when governance incentives and evaluation mechanisms are appropriately aligned, contribute to the sustainable development of the real economy. Full article

With limited therapeutic progress despite aggressive multimodal treatment, glioblastoma (GBM) remains one of the deadliest primary brain tumors. Emerging evidence suggests that GSCs are key drivers of tumor initiation, intratumoral heterogeneity, therapeutic resistance, and recurrence. GSCs retain self-renewal capacity, multilineage differentiation potential, and remarkable plasticity, enabling them to adapt to diverse microenvironmental cues. These properties are upheld by dysregulated developmental and oncogenic signaling pathways, including Notch, Wnt/β-catenin, Hedgehog, PI3K/AKT/mTOR, and STAT3, as well as epigenetic and metabolic reprogramming. In addition, dedicated niches such as hypoxic and perivascular microenvironments critically support GSC maintenance and immune evasion. In this review, we summarize the current understanding of the molecular pathways governing GSC biology, examine their interactions with the tumor microenvironment, and discuss emerging therapeutic strategies targeting GSCs, including pathway inhibition, differentiation therapy, immunotherapy, and nanomedicine-based drug delivery. We highlight key challenges and future directions for translating GSC-targeted approaches into effective clinical interventions for GBM. Full article