Search Results (15,792)

We develop a non-Archimedean framework for the representation and analysis of genomic sequences based on the arithmetic and geometric structure of the ring of 5-adic integers. The proposed approach associates RNA sequences with points in a compact ultrametric space through an injective symbolic-to-arithmetic embedding that transforms genomic information into a hierarchical geometric object. We prove that the embedding is a global isometry between a natural symbolic prefix metric and the induced 5-adic metric, and we show that its image forms a compact Cantor-type subset of ${\mathbb{Z}}_5$. Building upon this representation, we formulate a continuous-time evolutionary model governed by a Vladimirov pseudo-differential operator. The resulting non-Archimedean diffusion equation provides a mathematically rigorous mechanism for describing evolutionary transitions across hierarchical genomic scales and admits an explicit fundamental solution obtained through 5-adic Fourier analysis. We further introduce a finite-resolution projection onto quotient rings of ${\mathbb{Z}}_5$ and develop an alignment-free phylogenetic inference framework based directly on the 5-adic valuation. The induced distance function is ultrametric and naturally encodes hierarchical relationships through shared symbolic prefixes. The proposed construction establishes a bridge between p-adic analysis, ultrametric geometry, pseudo-differential operators, and computational phylogenetics. As an illustration, we discuss its application to Hantavirus genomic sequences, demonstrating how hierarchical evolutionary organization can be represented within a unified non-Archimedean mathematical framework. Full article

Innovation-oriented productive forces are increasingly concentrated in cities, but the multiscale mechanisms through which the built environment shapes these forces remain insufficiently understood. This study develops a spatial analytical framework linking firm-level new quality productive forces (NQPF) to fine-grained urban spatial structures. Using 89 A-share listed firms in the Xiamen–Zhangzhou–Quanzhou (XZQ) urban agglomeration, we first construct an entropy-weighted NQPF index from eleven financial indicators related to R&D human capital, advanced capital stock, intangible assets, and operational efficiency. Kernel density estimation is then used to transform discrete firm-level NQPF values into a continuous 600 m × 600 m grid surface as the dependent variable. On the explanatory side, 27 built-environment variables are organized into an integrated indicator system covering urban form, natural conditions, jobs–housing structure, and service infrastructures. We combine cross-validated recursive feature elimination (RFE-CV) with multiscale geographically weighted regression (MGWR) to construct two model specifications: a 7-variable parsimonious subset and a 14-variable highest-performing subset. This dual-subset design allows us to distinguish core structural drivers from more context-dependent spatial mechanisms. The results reveal three mechanisms. First, ecological adaptation reflects the scale-dependent enabling and constraining effects of infrastructure and natural-foundation variables. Second, structural coordination shows that mature cores may experience crowding-related suppression when functional and institutional resources become spatially mismatched. Third, boundary activation indicates that transport, public-service, and leisure-related facilities can activate peripheral and cross-jurisdictional interface zones when supported by network connectivity and institutional coordination. By coupling variable-specific bandwidths with local coefficients, this study advances the analysis of spatial heterogeneity and provides evidence for differentiated, innovation-oriented urban regeneration. Full article

Royal jelly (RJ) is a highly valued bee-derived functional food and natural health product, in which 10-hydroxy-2-decenoic acid (10-HDA) represents the most characteristic lipid component. As a unique fatty acid found exclusively in RJ, 10-HDA serves not only as a key marker for product authenticity, freshness, and quality evaluation but also as a major contributor to the biological activities of RJ, including immunomodulatory, metabolic regulatory, antimicrobial, anti-inflammatory, antitumor, and dermatological effects. Given its nutritional and quality-related importance, and because most previous reviews have focused primarily on the biological activities or compositional characteristics of 10-HDA, current knowledge regarding its biosynthesis, secretion, and regulatory mechanisms in worker mandibular glands has not yet been systematically organized and summarized. Understanding these processes is essential for explaining the biological origin of 10-HDA accumulation in RJ and for developing strategies to improve 10-HDA yield, royal jelly quality, and production standardization. This review summarizes current knowledge on the physicochemical properties and health-related functions of 10-HDA and further integrates recent advances in its endogenous biosynthesis and regulatory mechanisms. Particular emphasis is placed on the proposed three-step biosynthetic pathway, beginning with stearic acid and proceeding through cytochrome P450-mediated ω-hydroxylation, successive β-oxidation, and terminal dehydrogenation. We also discuss how 10-HDA production is shaped by worker developmental stage, glandular maturation, genetic background, dietary nutrients, botanical origin, endocrine signals, and apicultural management practices. By linking the biological origin of 10-HDA with its functional properties and quality-determining role in RJ, this review provides an integrated framework for understanding the formation of 10-HDA-rich royal jelly. By linking the biological origin, functional properties, and quality-determining role of 10-HDA in RJ, this review provides an integrated framework for understanding 10-HDA-rich royal jelly. It also identifies key gaps in biosynthetic validation, secretion mechanisms, and regulatory networks, offering guidance for RJ quality standardization, production optimization, and functional food development. Full article

This study empirically examines the impact of natural resource rents (NRR), a proxy for economic benefits and costs of natural resources, on green growth (GG) in Organization for Economic Co-operation and Development (OECD) countries from 1996 to 2020, while accounting for the moderating roles of green innovations and environmental regulations. Using the Common Correlated Effects Mean Group (CCEMG) and Augmented Mean Group (AMG) estimators as our baseline model, the analysis reveals a significantly negative association between natural resource rents and green growth in OECD countries, consistent with the resource curse hypothesis, which reflects heightened economic, institutional, and environmental risks associated with resource reliance. Furthermore, the results indicate that green innovations and environmental regulations not only promote green growth but also weaken the adverse association between natural resource rents and green growth, thereby suggesting their positive roles in managing resource-related risks. These findings remain robust across alternative variable definitions and model specifications. Overall, the empirical evidence highlights the importance of adopting policy measures, such as increased investment in sustainable technology research and development and providing incentives for firms to implement environmentally friendly practices, to manage resource-related risks and support the transition toward sustainable development. Full article

Historic residential buildings in Lingnan are affected by hot–humid and disaster-prone weather conditions, including high temperature, high humidity, intense solar radiation, monsoon winds, and typhoon-related climate stress, which challenge indoor thermal comfort, daylighting, natural ventilation, and adaptive reuse. Taking Jingzu Jiashu, a historic Chaoshan residence associated with overseas remittance culture, as a case study, this study develops a simulation workflow for climate-adaptive green retrofit. Digital documentation, architectural survey, material investigation, and climate data were integrated to establish a baseline model. PMV, DA300, and ACH/ACR were used to evaluate thermal comfort, daylighting, and natural ventilation. The baseline results show summer overheating, insufficient daylighting in deep rooms, and inadequate ventilation in representative rooms. Comfortable hours accounted for only 7.29–7.78%, thermally uncomfortable hours reached 42.84–51.53%, and the maximum PMV reached 4.65 in the rear hall and 3.54–3.65 in representative rooms. The effective daylight areas of the front and rear rooms were approximately 40% and 31%, while baseline ACH values ranged from 1.06 to 1.89 h⁻¹. An integrated retrofit strategy was proposed, including functional reorganization, envelope optimization, opening adjustment, ventilation-path organization, and courtyard/transitional-space improvement. After retrofit, comfortable hours increased to 32.00–42.45%, thermally uncomfortable hours decreased to 17.25–21.28%, maximum PMV values decreased to 1.82–1.86, daylight areas increased to 81% and 74%, and ACH values rose to 2.97–4.49 h⁻¹. The results indicate that building performance simulation can provide quantitative support for climate-adaptive green retrofit of historic Chaoshan residences in Lingnan, offering a methodological reference for healthier, lower-carbon, and more resilient reuse of similar historic dwellings. Full article

The escalating threat of antimicrobial resistance has spurred extensive research into antimicrobial fibers. While numerous reviews have comprehensively cataloged the classification and mechanisms of natural, inorganic, and organic antimicrobial agents, a critical gap remains: few have systematically evaluated the engineering strategies that translate intrinsic biocidal activity into durable, real-world fiber performance. This review addresses this gap by shifting focus from encyclopedic enumeration to a problem-oriented critical assessment of performance optimization strategies. We examine recent advances in natural fibers (bamboo, hemp, chitosan, jute) and synthetic fibers modified with antimicrobial agents, with emphasis on three core challenges—poor wash durability of natural agents, aggregation and leaching of inorganic nanoparticles (e.g., Ag, ZnO, MOFs), and structural limitations of organic agents (e.g., QACs, QPSs, N-halamines, PHMB). Key optimization routes, including covalent grafting, microstructural control (e.g., triaxial microfluidic spinning), organic-inorganic hybridization, and rechargeable N-halamine systems, are critically assessed for their effectiveness in enhancing washing resistance, stability, and antimicrobial synergy. Based on this comparative synthesis, we identify future directions—smart-responsive systems, sustainable processing pathways, and standardized evaluation protocols—to guide the rational design of next-generation high-performance antimicrobial fibers. Full article

Nitric oxide (NO) is a small, highly reactive gaseous signaling molecule that plays diverse and context-dependent roles in microbial physiology and host–microbe interactions. Over the past decade, increasing evidence has revealed the dual nature of NO as both an antimicrobial effector and a signaling mediator involved in microbial stress responses, metabolism, biofilm dynamics, quorum sensing, virulence regulation, and symbiotic interactions. In microbial systems, NO influences adaptation to environmental stress and contributes to mechanisms associated with persistence and antimicrobial resistance. In host organisms, NO functions as a key component of innate immunity while also participating in beneficial interactions involving rhizobia, mycorrhizal fungi, and probiotic microorganisms. Despite its biological significance, accurate detection and quantification of NO remain challenging because of its transient nature, high reactivity, low physiological concentrations, and interference from related reactive oxygen and nitrogen species. Recent advances in biosensing technologies have substantially improved NO detection capabilities through the development of electrochemical, optical, enzyme-based, microfluidic, wearable, and implantable sensing platforms. These innovations are complemented by analytical techniques including electron paramagnetic resonance spectroscopy, mass spectrometry, fluorescence-based imaging, and advanced microscopy, which enhance sensitivity, specificity, and spatiotemporal resolution in complex biological environments. Concurrently, statistical and computational approaches—including sensor calibration models, multivariate analyses, machine learning algorithms, and bioinformatics pipelines—have become increasingly important for extracting biologically meaningful information from NO-related datasets. Unlike previous reviews that primarily focus on either NO biology or sensing technologies, this review integrates current knowledge of NO-mediated microbial physiology and host–microbe interactions with recent developments in biosensor engineering, analytical methodologies, statistical frameworks, and emerging artificial intelligence (AI)-driven data interpretation. We further highlight applications of NO detection in infectious disease diagnostics, antimicrobial screening, probiotic and biofertilizer evaluation, environmental microbiome monitoring, and real-time studies of symbiosis and infection. Finally, future directions including miniaturized sensing platforms, multi-omics integration, AI-assisted analytics, and sensor standardization are discussed. By unifying molecular, analytical, and computational perspectives, this review provides a multidisciplinary framework and roadmap for advancing NO-based research and translational applications across microbial, environmental, and host-associated systems. Full article

In 2019, the United Nations’ General Assembly established 2021 to 2030 as the Decade on Ecosystem Restoration, and ecological restoration should be adopted by the member nations. In 2015, Brazil had already committed to restoring (replanting) twelve million hectares of forests, and this commitment was reaffirmed in the National Plan for the Recovery of Native Vegetation in 2017 and relaunched at COP16 on diversity in 2024. Despite Brazil’s leadership in establishing the Tropical Forests Forever Fund (TFFF) in 2023, which was launched at COP30 in Belem in 2025, the expansion of the agricultural frontier remains the main driver of deforestation in the Amazon/Rain Forest and the Cerrado biomes. This article aims to examine the social and ecological consequences of the capitalist occupation and expansion of the agricultural frontier in the Cerrado. It will also study the counterpoint of the land struggles and initiatives of peasant organizations focused on conservation and restoration as possibilities and perspectives for the social and ecological restoration of the Cerrado landscapes. Based on an interdisciplinary approach, the specialized literature, and official agricultural data, the study shows that, in addition to degrading nature (deforestation, water and soil contamination, and desertification) and threatening the historical ways of life of countryside peoples, the frontier’s expansion blocks possibilities for restoration and hinders initiatives to protect the remaining nature of Brazil’s second-largest biome. On the other hand, resistance to expropriation and appropriation, and struggles for land and territory, have emerged as possibilities for socio-environmental restoration, beyond reforestation and the recovery of destroyed nature, by transforming landscapes, ways of life, and production, and by creating conditions for food sovereignty and sustainability in the countryside. Therefore, agroecological actions by agrarian movements and rural organizations in general, and those of the Movement of Landless Rural Workers (MST) in particular, have become emblematic in opposing agrarian extractivism and unsustainable monocrops imposed upon and disseminated throughout the Brazilian Cerrado. Full article

During aging, skeletal muscle undergoes a decline in mass and strength. This condition, known as sarcopenia, involves many physiological and metabolic impairments, thus representing a healthcare, social, and economic burden. Various pharmacological and non-pharmacological approaches have been explored to counteract sarcopenia; however, no definite treatment has so far been found. The present narrative review summarizes nanotechnology-based strategies designed to promote muscle preservation and functional recovery in aging. Synthetic organic or inorganic nanoconstructs and natural extracellular vesicles have been used as nanocarriers for drug delivery, have been active as intrinsic therapeutic agents, have been employed to build biomimetic nanoscaffolds to sustain muscle regeneration, or have been combined to form hybrid nanosystems with multiple therapeutic functions. These nanotools demonstrated promising results in vitro and in animal models, being able to counteract major factors responsible for sarcopenia, such as oxidative stress, inflammation, mitochondrial dysfunction, increased proteolysis, and impaired stem cell function. However, nanotools have mostly been tested on biological models far from the physiologically aged human muscle. Moreover, limitations still remain to be solved to make these nanotools suitable for regenerative medicine; in particular, the systemic administration requires nanoconstruct functionalization for skeletal muscle targeting, and proper clearance should be ensured to avoid toxicity and immunogenicity related to long-term use. Full article

Landfill wastewater is a serious environmental problem and represents a high-concentration source of valuable organic compounds such as humic acids (HAs). The nanofiltration (NF) concentrate generated during treatment poses an even more significant environmental challenge, and the recovery of these substances is compatible with circular economy principles but requires innovative, pollution-resistant separation technologies. This study presents a novel hybrid approach for HA recovery by integrating naturally occurring clay minerals, such as halloysite nanotubes (HNTs), as a dynamic coating layer onto tube-shaped ceramic ultrafiltration membranes. The research was conducted in two stages: batch adsorption–desorption experiments followed by membrane integration. In the first stage, the batch adsorption studies showed that HA adsorption by HNTs followed the Freundlich isotherm model. The maximum HA adsorption capacity for HNTs increased with increasing initial concentration. In desorption studies, recovery rates of 74.6% were achieved with 1.5 N sodium hydroxide (NaOH) and 67.5% with 1.5 N potassium hydroxide (KOH). In membrane studies, the optimum HNT coating concentration was determined as 0.05 g/L. While an average removal efficiency of 85.3% was obtained in synthetic HA filtration, the desorption efficiency after regeneration was around 35–37%. In experiments with real NF concentrate, HA removal efficiencies ranged from 19 to 64% for concentrations of 5, 10, and 20 mg/L, with the highest desorption efficiency (59.3%) obtained in the 10 mg/L NF concentrate. The results reveal that the complex structure and competing components in the real wastewater matrix limit the removal and recovery performance compared to synthetic solutions. Full article

Purpose: Most children with autism live in resource-limited settings with limited access to timely interventions. To address this gap, the World Health Organization developed Caregiver Skills Training (CST) to support caregivers and expand intervention access globally. This study examined the feasibility and preliminary outcomes of a modified CST in mainland China. Methods: Using the ecological validity model and qualitative interviews, the CST materials were culturally adapted and modified for the Chinese context. A pre- and post-test controlled trial was conducted with caregivers of children with autism aged 2–9 years, who were assigned to either the CST intervention group (N = 15) or a caregiver education control group (N = 15). Clinical outcomes for caregivers and children were evaluated at baseline and after a 10-week intervention period. Results: Cultural adaptation and modifications focused on language adjustments, localization of case examples and demonstrations, and optimization of teaching methods and training schedules. Supplementary within-group analyses indicated pre–post changes in caregiver knowledge and skills, parenting stress, and selected child outcomes, including speech/language/communication, sensory/cognitive awareness, and overall autism symptoms. However, most between-group differences were not statistically significant after baseline adjustment. Conclusions: The findings provide preliminary evidence for the feasibility of culturally adapted and modified CST in mainland China. Given the pilot nature of the study and the absence of statistically significant between-group effects for most outcomes, the outcome findings should be interpreted as exploratory and hypothesis-generating rather than evidence of efficacy. Further large-scale studies with greater statistical power and objective outcome measures are needed to evaluate effectiveness and implementation feasibility. Full article

Macrophage extracellular traps (METs) are chromatin-based structures released by activated macrophages and are increasingly recognized as distinct, context-dependent effectors of innate immunity. Although initially described in antimicrobial defense, METs are now implicated in sterile inflammation, autoimmunity, fibrosis, metabolic and vascular injury, organ-specific damage, and cancer. This review integrates dispersed evidence on MET biology across physiological and pathological settings, moving beyond neutrophil-centered interpretations of extracellular trap biology. We summarize the molecular composition, structural heterogeneity, major forms of METosis, and key regulatory pathways, including PAD-dependent chromatin remodeling, reactive oxygen species and calcium signaling, mitochondrial DNA release, extracellular DNA sensing, protease-mediated injury, and macrophage–stromal crosstalk. We also discuss the dual nature of METs as protective structures that can contain pathogens and amplify early innate responses, but also as pathogenic platforms when excessive, persistent, or insufficiently cleared. Overall, current evidence supports METs as functionally versatile macrophage-derived immune structures whose biological effects depend on the stimulus, tissue microenvironment, and disease context. By providing a unified framework, this review highlights the relevance of METs as potential biomarkers and therapeutic targets in inflammatory, fibrotic, vascular, autoimmune, and malignant diseases. Full article

Liquefied natural gas (LNG)-powered ships possess available utilizable energy resources, including LNG vaporization cold energy and main engine flue gas waste heat. To improve the ship energy utilization efficiency, this paper takes a 215,000-ton Very Large Crude Carrier (VLCC) as the research object, and couples the organic Rankine cycle (ORC) and transcritical carbon dioxide (TCO₂) Rankine cycle to achieve the combined recovery of ship cold energy and waste heat. To systematically investigate the thermal performance of the integrated system, a simulation model is established by using Aspen HYSYS to acquire basic thermal parameters. Advanced exergy analysis is adopted as the core research method for the first time to evaluate the thermal performance of the system, and the obtained results are compared with those of the conventional exergy analysis. Conventional exergy analysis reveals that Heat Exchanger 1 is the core component restricting the performance optimization of the whole system. Further results from advanced exergy analysis show that the proportions of avoidable exergy destruction and endogenous exergy destruction of the overall system are 40.46% and 58.72%, respectively. Key optimization links are further identified based on the advanced exergy analysis results, and the genetic algorithm (GA) is applied for targeted system optimization. After optimization, the system output power reaches 1772.06 kW and the exergy efficiency is 48.32%, which are increased by 5.56% and 15.54% correspondingly. Economic evaluation indicates the annual net profit reaches 3.8336 million CNY, with a static payback period of 5.49 years. Full article

With the rapid development of offshore engineering, marine cranes are widely deployed in critical maritime operations, such as the precision installation of wind turbine blades. However, their highly coupled three-dimensional spatial dynamics, uncertain payload mass, and susceptibility to severe external sea wave disturbances pose significant challenges in achieving fast, accurate payload transportation and rapid anti-swing performance. To address these issues, this paper proposes a novel energy-based intelligent coupling control strategy utilizing fuzzy logic and adaptive gravity compensation for 5-DOF (5-Degrees of Freedom) marine cranes. Firstly, to handle the severe underactuation and facilitate natural energy dissipation, a novel set of error coupling variables is constructed, organically linking the actuated crane structure with the unactuated payload swing dynamics. Then, an adaptive gravity compensation mechanism is designed to dynamically estimate the uncertain payload mass in real time, eliminating the need for precise prior mathematical models. Subsequently, to counteract complex external environmental disturbances and unmodeled internal dynamics, a targeted fuzzy observer is developed based on the universal approximation theorem, providing robust, real-time perturbation compensation. The sufficient conditions for the asymptotic stability of the closed-loop system are rigorously proven based on the Lyapunov method and LaSalle’s invariance principle. Finally, extensive comparative simulations are conducted, demonstrating that the proposed method significantly improves the operational accuracy, anti-swing capability, and safety of marine cranes under varying load conditions and persistent wave disturbances. Full article

Objective: To evaluate reproductive outcomes following fertility-sparing surgery for deep endometriosis (DE), specifically assessing the impact of bowel resection on spontaneous conception rates and the predictive value of the Endometriosis Fertility Index (EFI). Design: Retrospective observational cohort study. Setting: High-volume tertiary referral center for endometriosis. Patients: A total of 507 women with histologically confirmed endometriosis and documented infertility or active desire for pregnancy, managed between 2018 and 2025. Patients undergoing hysterectomy were excluded. Interventions: Laparoscopic complete excision of endometriotic lesions using a nerve-sparing technique. The surgical strategy for bowel involvement was tailored to nodule characteristics: 194 patients (38.3%) underwent segmental colorectal resection, 38 (7.5%) underwent rectal shaving, and 9 (1.8%) were treated with advanced organ-sparing techniques (lateral rectal resection or extra-mucosal excision—EMEB). Main Outcome Measures: Postoperative pregnancy rate (PR), mode of conception (spontaneous vs. ART), and factors influencing fertility. Results: The cohort presented with severe disease (mean rASRM stage 3.4) and a high prevalence of primary infertility (79.3%). During the follow-up period, 310 patients achieved pregnancy, resulting in an overall pregnancy rate of 61.1%. Notably, 70.3% of these pregnancies were achieved spontaneously. Radicality did not compromise fertility: the segmental resection group achieved a pregnancy rate of 91.2% (177/194), while patients treated with rectal shaving achieved 100%. The EFI score was identified as a robust predictor of success (mean score 5.5 in pregnant vs. 4.9 in non-pregnant patients, p < 0.05). Conclusions: Comprehensive nerve-sparing excision of DE, including segmental bowel resection, is associated with high pregnancy rates and a predominant restoration of natural fertility. Surgery should be considered a first-line strategy to reduce dependency on assisted reproductive technologies. Full article