Search Results (10,359)

Using truck GPS trajectory data, this study measures the intensity of economic spatial linkages in Hubei Province at both administrative and cross-administrative scales and examines the hierarchical structure and spatial pattern of its urban economic network. By comparing the results with existing regional plans, the study provides empirical support for regional coordination and spatial planning. Network centrality analysis, linkage intensity measurement, and community detection algorithms are integrated to construct a topological model of the urban economic network from three dimensions: urban node hierarchy, inter-city linkage intensity, and urban cluster structure. To overcome administrative boundary constraints, a 5 km × 5 km grid-based approach is applied to identify functionally connected urban economic communities. The results indicate that Hubei Province’s urban economic network exhibits a highly dominant core accompanied by multiple secondary supporting centers. While the Wuhan Metropolitan Area demonstrates high economic activity, internal horizontal linkages remain relatively weak, and the roles of Yichang and Xiangyang as regional sub-centers require further strengthening. Grid-based analysis further reveals pronounced cross-administrative economic linkages. Accordingly, this study suggests strengthening support for regional sub-centers and promoting better alignment between administrative space and functional space within the spatial planning system, with enhanced cross-regional coordination. Full article

An investigation was conducted to explore the freeze–thaw resistance of 60–90 MPa high-strength concrete blended with multiple industrial byproducts (limestone powder, fly ash, etc.) and mixed sand (machine-made/tailings sand), aiming to clarify freeze–thaw degradation mechanisms and build reliable damage prediction models. Three water-binder (w/b) ratios (0.30, 0.25, 0.20) and 15 mix proportions were designed, with 30–45% cement replaced by mineral admixtures and 90–100% natural sand by mixed sand. Results show lower w/b ratios improve resistance: the 0.20 ratio yields merely 0.06% mass loss and 96% relative dynamic elastic modulus retention after 400 cycles. Optimized silica fume and limestone powder refine pore structures; fly ash-slag synergy boosts durability via secondary hydration under specific dosage ratios. A 7:3 machine-made/tailings sand mix shows better frost resistance due to improved particle packing and interfacial transition zones. Three damage models were established, with Model III demonstrating high accuracy. This work’s novelty lies in multi-byproduct synergy and multi-factor models, supporting green concrete use in cold regions. Full article

Ternary gypsum–cement–pozzolan (GCP) binders represent a promising low-carbon alternative to traditional Portland cement-based systems for additive 3D printing (3DP). This study presents a systematic three-stage experimental framework for the development of printable and durable GCP mixtures: (i) optimisation of gypsum–cement–metakaolin binder proportions based on a ternary diagram for 25 formulations, (ii) comparative evaluation of different pozzolanic additives and secondary gypsum sources alongside comprehensive durability testing, and (iii) adaptation of the optimised mixtures for 3DP, focusing on rheological properties. The optimal composition was determined with 55 wt% gypsum, 22.5 wt% Portland cement, and 22.5 wt% metakaolin, achieving a 28-day wet compressive strength of 36.2 MPa and a softening coefficient of 0.85. Successful integration of secondary gypsum sources was demonstrated. The GCP 3DP mixtures were developed with water/binder ratios of 0.38–0.45 and sand/binder ratios of 0.5–1.4, with an open time of 20–40 min. The mixtures exhibit pronounced thixotropic behaviour, characterised by increasing yield stress over time and relatively stable plastic viscosity. Printability tests confirmed the stable application of 29–39 layers before structural buckling. 3DP under laboratory conditions successfully demonstrated the feasibility of producing architectural and structural elements from sustainable GCP compositions. Full article

Formation pore pressure is a critical parameter controlling drilling safety and wellbore stability, and its prediction in ultra-deep carbonate formations is challenging due to extreme temperature–pressure conditions, complex geological settings, and strong lithological heterogeneity. This study develops a multi-parameter while-drilling process that integrates drilling engineering parameters, mud logging gas measurements, cuttings-based elemental logging data, and drilling fluid performance indicators to investigate the processes governing abnormal overpressure and its real-time responses. By combining elemental logging parameters, rock drillability indices, and gas logging responses, a predictive framework for detecting abnormal pore pressure is established. The results show that structural position strongly controls overpressure distribution; secondary fault zones preferentially host abnormal overpressure; synchronous enrichment of S and Sr in cuttings-derived elemental data provides precursor signals; and gas logging indicators, including total hydrocarbon peaks and hydrocarbon migration velocity, are highly sensitive to overpressure. Application of the proposed while-drilling process to three ultra-deep wells (Fudong-101, Hade-18, and TKe-1) generated nine real-time pressure warnings, eight of which were confirmed, yielding a prediction accuracy of 88.89%. These results demonstrate that the proposed process effectively improves real-time identification of abnormal overpressure in ultra-deep carbonate formations, enhancing drilling safety and operational efficiency. Full article

Background: Health-related quality of life (HRQoL) in adolescents reflects their perception of physical, psychological, and social well-being within a specific cultural context, considering developmental stage and individual differences. The KIDSCREEN-27 is a self-report instrument designed to assess HRQoL in children and adolescents, with demonstrated validity and reliability in international samples. Objective: To examine the psychometric properties (i.e., reliability, construct validity, convergent and discriminant validity, and measurement invariance) of the KIDSCREEN-27 questionnaire in a sample of Mexican adolescents. Method: A cross-sectional study was conducted with a sample of 1124 Mexican adolescents aged 10–17 years (M = 13.37, SD = 1.08; 53.5% female; 83.6% secondary education) obtained through non-probabilistic convenience sampling. Reliability (Cronbach’s α, McDonald’s ω), structural validity through exploratory (AFE) and confirmatory factor analyses (CFA), measurement invariance by gender, and convergent and discriminant validity via correlations with self-esteem, well-being, stress, and anxiety–depressive symptoms were evaluated. Results: Analyses showed strong internal consistency (α = 0.912, ω = 0.914). EFA supported a five-dimensional structure. CFA showed an optimal fit after including specific covariances (χ²/df = 3.62, RMSEA = 0.048, CFI = 0.929, TLI = 0.919, SRMR = 0.043). Metric and scalar gender invariance were supported. Positive correlations emerged with well-being (r = 0.76, p < 0.01), self-esteem (r = 0.64, p < 0.01), and satisfaction with life (r = 0.52, p < 0.01), and negative correlations with stress (r = −0.61, p < 0.01), academic stress (r = −0.32, p < 0.01) and anxiety–depressive symptomatology (r = −0.53, p < 0.01), providing evidence of convergent and discriminant validity. Conclusions: The KIDSCREEN-27 demonstrated adequate psychometric properties, supporting its use among Mexican adolescents, enabling the identification of well-being needs, monitoring of interventions, informed decision-making in health and educational practice and supporting cross-cultural comparisons of adolescent well-being. Full article

Carbon fiber-reinforced thermoplastic composite drilling is a secondary manufacturing process because the quality of drilled holes affects assembly system performance, structure, and sustainability. This paper compares all drill coating types and cutting conditions for PEEK-CF30 composite drilling utilizing a hybrid experimental–statistical method. DLC-, TiN-, and TiCN-coated HSS drills, as well as cutting speed and feed rate were tested using the Taguchi L27 design. Performance indicators were measured by including thrust force, surface roughness, drilling torque, and energy consumption. Experimental results showed that increasing cutting speed and feed rate increased the thrust force while decreasing torque and energy consumption. Smearing on the hole surface, chip adhesion, and short fiber adhesion/pull were identified as indicators of poor surface quality, and these occurrences increased with increasing drill coating removal at high cutting parameters. In terms of overall performance, the TiCN-coated drill created the lowest thrust force (50.85 N), surface roughness (1.038 µm), torque (17.54 Ncm), and energy consumption (136.45 J) at high feed conditions. Taguchi-based gray relational analysis methodology revealed that the TiCN-coated drill, a cutting speed of 40 m/min, and a feed rate of 0.1 mm/rev are the optimum parameters. Second-order prediction models developed for all responses proved to have high predictive capabilities with coefficients of determination above 94%. Ultimately, drill coating quality considerably affected surface integrity and drilling energy consumption performance in drilling PEEK-CF30. A hybrid optimization and modeling framework demonstrates that the drill quality cutting parameter will allow for optimum selection to ensure efficient processing of advanced thermoplastic composites. Full article

To explore the evolution of dynamic characteristics of Chuan-Dou timber structures under different damage states, this study takes a typical Chuan-Dou timber structure in Southwest China as the research object. A 1:7 scaled model of a two-story timber frame with five main columns and four secondary columns, three bays, and two rooms was designed and fabricated, and combined pseudo-static and dynamic tests were carried out. When the specimen was in three typical states, namely intact, moderate damage, and severe damage, the sudden release method was adopted to obtain structural vibration responses. The natural frequencies and damping ratios in the X- and Y-directions under each state were identified, and the damage sensitivity differences among stiffness, frequency, and damping ratio were compared and analyzed. The test results show that with the aggravation of damage degree, structural stiffness degrades continuously, and the natural frequency shows a monotonic decreasing trend. The X-direction frequency decreases from 11.178 Hz to 7.8 Hz, and the Y-direction frequency decreases from 6.2 Hz to 5.156 Hz. The damping ratio increases significantly. The X-direction damping ratio increases from 3.552% to 8.951% (an increase of 152.0%), and the Y-direction damping ratio increases from 4.391% to 11.94% (an increase of 171.9%). Comparative analysis shows that the change amplitude of the damping ratio is about 5 to 10 times that of the natural frequency, and it has higher identification sensitivity to structural non-linear damage behavior. This paper innovatively applies the frequency-damping ratio dual-index collaborative determination strategy to Chuan-Dou timber structures, establishes a damage identification method based on the evolution of dynamic characteristic parameters, and discusses the engineering application paths of sensor optimal layout strategy, structural health archive establishment, and post-earthquake rapid screening. The research results can provide experimental basis and technical reference for daily health monitoring, post-earthquake rapid identification, and seismic performance evaluation of traditional timber structures of Chuan-Dou timber structures. Full article

In rapidly urbanizing metropolitan areas, children increasingly face risks to their physical and mental health, largely due to constrained access to suitable outdoor spaces that support regular physical activity. The uneven distribution and varying quality of these urban outdoor environments further intensify such risks by limiting children’s opportunities for safe, stimulating, and health-promoting activities. However, the existing research often lacks a systematic framework to quantify these spatial inequities across multiple dimensions. This study aims to fill this gap by constructing a robust analytical framework for evaluating outdoor environmental quality. It quantifies spatial distribution and determinants of these inequalities. The framework is structured around four core dimensions: Safety, Facility Variety, Fun, and Greenness. Taking Beijing as a case study, data from 1598 primary and secondary schools were analyzed. The Gini coefficient and Moran’s I were used to evaluate the equality and spatial clustering of environmental indicators, while the Geographically Weighted Regression model explored how Spatial Construction, Social Development, and Economic Level shape environmental quality. The results reveal the following findings: (1) the quality of children’s outdoor physical activity environments in Beijing is notably unequal, especially regarding Greenness and Fun; (2) these disparities correspond closely to the city’s “core–periphery” metropolitan structure; and (3) the relationships between metropolitan-level factors and environmental quality exhibit strong spatial heterogeneity. This study provides a comprehensive framework for evaluating and visualizing inequalities in children’s outdoor environments, offering empirical support for inclusive and health-oriented urban governance. Full article

Biodegradable metals represent a paradigm shift in orthopedic fixation by providing temporary mechanical support synchronized with bone healing while eliminating long-term complications associated with permanent implants. Conventional bioinert alloys, including stainless steels, Ti-based alloys, and Co-Cr alloys, exhibit high elastic moduli that induce stress shielding and often require secondary removal surgeries. In response, resorbable metallic systems based on Mg, Zn, and Fe have emerged as promising alternatives. Among these, Fe-Mn-C alloys stand out for load-bearing applications due to their exceptional strength-ductility balance governed by twinning-induced plasticity mechanisms, tunable degradation behavior, and intrinsic magnetic resonance imaging compatibility through austenitic phase stabilization. Focusing on Fe-Mn-C alloys, this review critically examines the metallurgical design principles underlying stacking fault energy optimization, phase stability, and Mn-controlled electrochemical behavior. Processing innovations, such as additive manufacturing, are discussed as tools to architecture porosity, refine microstructure, and accelerate degradation by graded designs while preserving mechanical structural support during healing. Hybrid metallic-bioactive systems, surface functionalization strategies, and functionally graded porous architectures were evaluated as advanced approaches to enhance osteointegration and modulate degradability. Despite these advances, significant barriers remain for clinical translation. Persistent discrepancies between in vitro and in vivo degradation rates, often attributed to biological encapsulation and degradation product accumulation, complicate lifetime prediction. Localized corrosion at microstructural heterogeneities such as twin boundaries and phase interfaces can undermine structural reliability under load-bearing conditions. Moreover, predictive multi-physics modeling frameworks capable of coupling electrochemical kinetics, mechanical loading, microstructural evolution, and bone remodeling remain underdeveloped, limiting reliable safety-margin estimation. Regulatory progress is further hindered by the absence of standardized testing protocols specifically tailored to Fe-based biodegradable alloys, including harmonized degradation rate windows, validated corrosion-mechanics coupling methodologies, and clinically defined Mn ion release thresholds. This review aims to discuss whether Fe-based alloys, especially Fe-Mn-C alloys, can transition from promising laboratory materials to clinically viable next-generation orthopedic implants capable of delivering patient-specific, mechanically compatible, and biologically synchronized temporary fixation. Full article

Senecavirus A (SVA) has rapidly emerged as a globally distributed swine pathogen, with clinical signs mimicking vesicular diseases such as Foot-and-Mouth Disease, posing challenges for timely detection and control. Here, we analyzed 329 complete SVA genomes spanning multiple continents to provide a comprehensive view of its evolutionary dynamics, recombination patterns, haplotype diversity, and global dissemination. Phylogenetic analyses revealed two major lineages: Lineage 1, consisting mainly of early strains from the United States before 2007, and Lineage 2, which emerged post-2007 and subsequently spread across the Americas and East Asia. Recombination was confined to Lineage 2 and concentrated in nonstructural regions, particularly 2C, highlighting intra-lineage genetic exchange as a driver of recent diversification. Haplotype analysis of the 3AB gene identified 170 distinct haplotypes, revealing a star-like network structure consistent with rapid population expansion from a central ancestral variant, while secondary branches reflect ongoing regional diversification. Despite this high genetic variation, genome-wide dN/dS ratios remained below one, and purifying selection was strongest in the N-terminal domains of structural and nonstructural proteins, indicating functional constraints that maintain viral fitness. Time-scaled phylogenetic reconstruction and Bayesian Skyline analysis revealed rapid lineage diversification and a marked increase in effective population size in the early 2010s. Phylogeographic inference further identified repeated introductions from the Americas into East Asia, likely facilitated by swine trade and other anthropogenic factors. Collectively, SVA evolution is driven by frequent mutation and intra-lineage recombination yet constrained by pervasive purifying selection, generating extensive genetic diversity while maintaining functional integrity, with implications for genomic surveillance and targeted control. Full article

Two zinc(II)-trimesate metal–organic frameworks were synthesized under hydrothermal conditions and structurally characterized by single-crystal X-ray diffraction. Although both compounds originate from the same Zn(II)-benzene-1,3,5-tricarboxylate (BTC) chemical system, they crystallize in different space groups and exhibit distinct coordination environments and secondary building units (SBUs). One framework adopts a cubic structure and is built from a binuclear Zn paddlewheel type SBU, characterized by a short Zn–Zn internuclear distance and four μ₂-bridging carboxylate groups. In contrast, the second framework crystallizes in a tetragonal lattice and features mixed Zn(II) coordination environments, with the coexistence of tetrahedral and octahedral metal centers assembled into a fundamentally different SBU. The comparison between these two structures highlights the coordination flexibility of Zn(II) and the sensitivity of Zn–BTC frameworks to crystallization conditions, such as solvent composition. These results underline the importance of detailed crystallographic analysis in revealing SBU diversity and provide insight into how variations in local coordination chemistry can lead to distinct framework architectures from identical chemical building blocks. Full article

Background: Blood flow restriction training (BFRT) is a low-load resistance training modality capable of inducing muscle hypertrophy and strength adaptations that are comparable to traditional high-load resistance training. Beyond athletic performance settings, BFRT has growing relevance for musculoskeletal health, rehabilitation and populations unable to tolerate high mechanical loads. However, substantial inter-individual variability in adaptive responses has been reported. Genetic and molecular factors may partly contribute to this variability and inform more individualised exercise strategies. Other intrinsic and extrinsic factors, including age, sex, training status, nutrition, and protocol-related differences, may also influence adaptive responses. Objective: This scoping review aimed to map available evidence on molecular modulators of adaptation to BFRT and to identify gaps in the literature regarding genetic influences on BFRT responses. Methods: A structured search of PubMed, Web of Science and Google Scholar was conducted till 1 February 2026. Experimental and quasi-experimental studies examining BFRT in relation to genetic polymorphisms, gene expression, and molecular signalling pathways associated with strength and hypertrophy outcomes were included. Primary outcomes were genetic and molecular factors relevant to BFRT adaptation, including genetic polymorphisms, gene expression, and molecular signalling markers. Secondary outcomes included muscle strength, hypertrophy, vascular responses, and related functional outcomes where reported. Study selection and data extraction were conducted according to PRISMA-ScR guidelines. The methodological quality of randomised controlled trials was assessed using the PEDro scale. This scoping review was registered retrospectively in the Open Science Framework on 17 March 2026, after completion of the literature search. Results: From an initial 47 records, only three studies (n = 3) met the inclusion criteria. The included studies reported molecular responses associated with BFRT, including downregulation of proteolytic genes, suppression of myostatin expression, and upregulation of angiogenic markers. Notably, no studies directly examined genetic polymorphism or genotype–BFRT interactions, highlighting a clear need for these studies in this field. Conclusions: This scoping review therefore identifies a critical evidence gap, with genotype-informed BFRT prescription remaining unsupported by the current literature. Limited evidence supports the possible role of BFRT in molecular responses associated with muscle adaptation. Future research should prioritise well-designed studies integrating both genetic and molecular analyses to better understand inter-individual variability in BFRT adaptations. Full article

Dehydrothyrsiferol (DT), a brominated oxasqualenoid from the red alga Laurencia viridis, represents a compelling example of this framework. This review establishes DT as a model Smart Secondary Metabolite based on the convergence of a unique molecular architecture of rigid stereogroups connected by flexible bonds; a high metabolic yield (0.42% w/w of crude extract); potent selective bioactivity against kinetoplastids and drug-resistant tumors; multi-target modulation of protein phosphatase 2A (PP2A) and cell-surface integrins; and distinctive chemotaxonomic relevance within Macaronesian communities. Its biosynthesis proceeds through stereocontrolled epoxide-opening cascades, generating an evolutionarily refined scaffold. Ecologically, DT operates as a multifunctional shield, providing antifouling protection and deterring herbivory. Pharmacologically, it acts as a selective signaling modulator, triggering integrin-mediated cell death (IMD) in resistant cancer cells and inducing mitochondrial collapse in protozoa. In vivo studies in murine models of cutaneous leishmaniasis have demonstrated an 87% reduction in lesion size, reinforcing its promise as a lead structure. Full article

In situ coagulation is regarded as the most effective measure in response to the frequent metal spills in China. Excessive coagulant is often used in pursuit of extremely high removal rates of contaminants. Yet the secondary ecological impact of the iron-containing coagulation flocs left on the river sediments after emergency response is still unclear. In the current study, we investigated the impact of flocs derived from three different iron-based coagulants, polymeric ferric sulfate (PFS), polymeric ferric chloride (PFC), and ferric chloride (FeCl₃), on microbial communities in sediment based on microcosm experiments. Metagenomics, quantitative PCR, and determination of ammonia oxidation potential were adopted to elucidate community shifts. The results indicate that the community structure and function of microorganisms in sediments have been affected, especially processes and species related to nitrogen cycling, and the effect was coagulant-specific. Flocs retrieved from FeCl₃ caused a more pronounced decline in diversity, shifts in community composition, and decreased potential ammonia oxidation. Ammonia-oxidizing archaea (AOA) was more sensitive to iron-containing flocs than ammonia-oxidizing bacteria (AOB), while PFS-flocs tended to reduce multiple genes involved in nitrate reduction. This indicates that the pre-polymerization of inorganic coagulants may be the primary factor leading to different microbial ecological effects. Sulfate, on the other hand, may affect specific biogeochemical processes due to its competition for electron donors. Our results confirmed that even without heavy metals as contaminants, coagulant flocs alone could present an effect on nitrogen cycling in sediments. The results will provide a scientific basis for environmental emergency decision-making: in emergency response to metal pollution incidents, the use of coagulants should be limited to only the necessary level. Full article

GDSL esterase/lipase (GELP) proteins constitute an evolutionarily conserved yet functionally diversified hydrolase family in land plants. They participate in cuticle and secondary cell wall biosynthesis, seed lipid remobilization, reproductive development, and hormone-mediated responses to biotic and abiotic stresses. Despite extensive genome-wide and comparative genomic studies that have categorized large GELPs across numerous crops and model species, only a fraction of members have been functionally characterized in plants, and their catalytic mechanisms and regulatory architectures remain poorly understood. Recent population genomics and cross-species orthogroup analyses in 46 angiosperms have uncovered substantial natural variation within GELP coding sequences and regulatory regions, providing a powerful framework to link allelic diversity to evolutionary trajectories and physiological functions. This review synthesizes current knowledge on GELP evolution, biochemical properties, and roles in development and stress adaptation, and critically evaluates how these insights can be translated into biotechnology and molecular breeding strategies. It highlights emerging resources and concepts from orthogroup-based classification and multi-species datasets that enable systematic discovery of GELP alleles affecting agronomic traits. It further outlines research exploiting GELPs in crop improvement, emphasizing the integration of reverse and forward genetics with multi-omics profiling, biochemical and structural characterization, and gene regulatory network reconstruction. Systematic assessment of the phenotypic impacts of single and combinatorial GELP perturbations on yield, quality, and stress resilience is proposed as a key step toward translating basic insights into breeding and engineering strategies. Full article