Search Results (672)

Based on county-level panel data from 2010 to 2023 covering 1991 counties, this study employs an Staggered Difference-in-Differences (DID) model integrated with double/debiased machine learning (DDML) and causal inference techniques. The objective of this paper is to assess whether and how the overlapping implementation of cultural-tourism integration (CTP) policies and the county-level National Ecological Civilization Pilot Zone (NECPZ) policy generates synergistic effects on rural residents’ income. The findings reveal that the policy overlap significantly promote farmers’ income. The synergy test shows that the synergy of these policies amplifies the effect of each individual policy and generates a “1 + 1 > 2” synergy effect. Mechanism analysis indicates that the policy overlap facilitates farmers’ income growth by enhancing the appeal and the development of the local tourism market. Heterogeneity analysis shows that the income-enhancing effect is more pronounced in counties with better public cultural services, stronger primary-level governance, and more advanced digital infrastructure. Furthermore, GDP growth rate, agricultural mechanization, and the industrial structure exert a nonlinear moderating effect on the policy effects. Based on these findings, the study proposes breaking down departmental and hierarchical barriers and building institutional synergy to transform ecological resources into economic value. According to local conditions, pilot projects should be prioritized in counties with stronger foundations, while guarding against the risk of diminishing marginal returns from excessive investment, so as to maximize policy synergies and promote fiscal efficiency. Full article

Nickel has become a strategic mineral for the energy transition, yet its supply chain is increasingly shaped by a compound risk regime involving resource nationalism, processing concentration, geopolitical compliance rules, carbon-footprint requirements, and commodity-market volatility. This study develops NiChain-LLM-ABM, a large-language-model-empowered agent-based model for simulating nickel supply chain resilience under semantically rich policy shocks. The framework uses a policy semantic parsing module to transform official policy texts into structured shock parameters, a multi-agent strategy generation module to represent adaptive decisions by seven agent classes, a calibrated supply chain network module to simulate material, financial, and information flows, and a four-dimensional resilience assessment module. The model is anchored in observed nickel production, price, trade, and technology data from USGS, IEA, UN Comtrade, LME, and official legal sources, and its scenario outputs are generated through 100 Monte Carlo replications over 2025–2035. Results show that the baseline Comprehensive Resilience Index (CRI) declines from 0.620 in 2025 to 0.547 in 2035. Indonesian policy tightening causes the sharpest near-term deterioration, with CRI falling to 0.445 in 2028 and the simulated supply deficit reaching 24.5 kt Ni equivalent. A geopolitical compliance shock produces the lowest terminal resilience (CRI = 0.472 in 2035). A green-compliance scenario is disruptive in the short run but exceeds the baseline by 2035, while a coordinated policy portfolio raises the terminal CRI to 0.744, a 36.0% improvement over the baseline. Compared with a conventional rule-based ABM, the LLM-ABM reduces extreme-event backcasting error by 57%, improves policy-response fidelity by 53%, and more than doubles agent heterogeneity differentiation. The results support portfolio-based critical-mineral governance combining strategic reserves, overseas equity investment, recycling, technology substitution, and international cooperation. Full article

Enhancing the resilience of the agricultural industrial chain is a critical pillar for ensuring national food security and promoting the construction of a strong agricultural nation. This study explores the direct impact, transmission mechanisms, and boundary conditions of rural human capital on the agricultural industrial chain. Based on panel data from 30 Chinese provinces spanning 2010 to 2024, this study constructed a comprehensive measurement index system and employed two-way fixed effects, Two-Stage Least Squares (2SLS), System Generalized Moment Estimation (System GMM), and panel threshold regression models. The results indicate that rural human capital acts as a significant endogenous driver enhancing agricultural resilience. Mechanism analysis reveals this positive effect is indirectly transmitted through the rationalization and advancement of the industrial structure. Furthermore, marketization levels exert a double-threshold effect. The empowering effect of rural human capital on the resilience of the agricultural industrial chain is most pronounced at low marketization levels, while its marginal contribution continues to decline as marketization advances to medium and high levels. Heterogeneity tests show this enhancement is most pronounced in economically developed and disaster-prone regions. In conclusion, to fully release human capital dividends and improve the system’s risk-resistance capacity, policymakers should construct multi-level cultivation systems, leverage structural optimization, and implement moderately paced, localized market reforms. Full article

Double-under jump rope performance requires rapid force production and precise coordination under extreme temporal constraints; however, the biomechanical determinants of elite high-speed performance remain unclear. This ceiling-performance biomechanical study examined speed-dependent motor control in world champions (n = 3, 19.7 years) and junior national champions (n = 5, 14.0 years) during double-under performance at 120 double-unders/min, 140 double-unders/min, and individualized ceiling tempo. Three-dimensional motion capture (300 Hz) synchronized with force plates (1500 Hz) quantified kinetic and kinematic adaptations across tempo conditions. Compared with junior national champions, world champions demonstrated shorter contact times, greater rates of force development, reduced center-of-gravity height and oscillation, more compact posture control with widened upper-limb positioning, smaller rope–foot clearance heights, and an increasingly ankle-dominant coordinative pattern between wrist–hand control and lower-limb movement under ceiling-tempo conditions. Collectively, these findings indicate distinct expertise-dependent differences in force-production, postural-control, and rope-coordination characteristics under ceiling-tempo conditions. In contrast, junior national champions demonstrated less pronounced temporal compression, maintained a comparatively extended posture, and appeared to approach a performance plateau beyond 140 double-unders/min. The findings provide biomechanical benchmarks for understanding ceiling-tempo performance and may inform training, movement retraining, and injury-prevention strategies in high-speed cyclic movement tasks. Full article

To clarify the internal mechanism through which the scale of higher education influences regional economic development, this work constructed an operational framework of education, talents, science and technology, and industry. Based on the 2023 data of 31 provincial administrative regions in China, covering 178 national high-tech industrial development zones, an empirical analysis was conducted using descriptive statistics and the Bootstrap mediating-effect test. The findings indicate that the expansion of higher education scale can enhance the level of talent supply, promote the agglomeration of scientific and technological innovation resources, drive the development of industrial scale, and thereby significantly boost economic growth. Among these pathways, the scale of the undergraduate and postgraduate student population exerts a complete mediating effect, while research and development investment and the number of enterprises in high-tech zones demonstrate a partial mediating effect. Notably, a striking contrast emerges between regular undergraduate institutions and double-first-class universities. The former exhibit significant positive mediating effects, whereas the latter’s economic driving effect remains largely unrealized. Furthermore, the uneven distribution of high-quality educational resources, particularly the spatial polarization of double-first-class universities, coupled with a mismatch between talent cultivation and industrial demands, and the “spatial isolation” of achievements, all restricted the radiating effect of higher education on regional economies. Therefore, it is necessary to implement a regionally differentiated layout of higher education, optimize the allocation mechanism of scientific and technological innovation resources, strengthen industry–university–research collaboration, and give full play to the effect of industrial agglomeration. Full article

Road infrastructure accounts for a substantial and systematically under-reported fraction of construction-related embodied carbon globally. Despite rapid network expansion across sub-Saharan Africa, no peer-reviewed study identified in the databases searched has established a quantified embodied-carbon baseline for Ghanaian road construction, creating a notable gap in national carbon accounting and low-carbon procurement policy. This study addresses that gap through two integrated components: a PRISMA 2020-guided systematic review of road-LCA and embodied-carbon literature, and a first-pass scenario model for Ghanaian low-volume paved roads (LVRs) bounded at A1–A3 (cradle-to-gate). Database searches of Scopus and Web of Science (14 March 2026) returned 3193 records; following deduplication and two-stage screening, 574 studies were included in the review. A staged harmonisation procedure converted 211 benchmark-shortlisted studies to comparable units, yielding a harmonisation subset of 29 studies and a final benchmark pool of 10 studies expressed as kgCO₂e per lane-kilometre (3.5 m lane width). The scenario model applies emission factors from the ICE Database (Educational V4.1, 2025) to three pavement configurations drawn from the Ghana Manual for Low Volume Roads (Parts B and D), all surfaced with double bituminous surface treatment (DBST); Otta seal is evaluated as a sensitivity case. Results show A1–A3 embodied carbon of 14,165 kgCO₂e/lane-km for Scenarios S1 and S3 (SC2/TLC 0.01 and SC4/TLC 1.0, respectively) and 12,564 kgCO₂e/lane-km for Scenario S2 (SC3/TLC 0.3). Bituminous binder accounts for 30–34% of A1–A3 emissions despite representing less than 1% of pavement mass, identifying binder supply as the primary carbon lever. The two most structurally comparable benchmark studies, chip-seal treatments in the USA, bracket the Ghana values at 12,687–16,400 kgCO₂e/lane-km, providing external plausibility validation. To the best of our knowledge, this study delivers a peer-reviewed, reproducible A1–A3 (cradle-to-gate) carbon baseline for Ghanaian LVR construction, a PRISMA-compliant synthesis of road embodied-carbon evidence, and a documented framework for early-stage carbon benchmarking in West African road infrastructure planning. Full article

Background/Objectives: The trajectory of influenza hospitalization burden from pre-COVID-19 pandemic baseline through post-pandemic recovery remains poorly characterized at the national level. This study characterized phase-stratified burden and seasonal structure, quantified racial and ethnic disparities, and assessed whether post-pandemic seasons represent anomalous departures from pre-pandemic expectations. Methods: Sixteen complete seasons of FluSurv-NET surveillance data (2009–2010 through 2024–2025; 509 observation weeks) were analyzed across pre-pandemic, disruption, and recovery phases using OLS regression with effect-size estimation, bootstrapped age-adjusted rate ratios, seasonal-trend decomposition (STL), Prophet time-series forecasting, and Isolation Forest anomaly detection. Results: Mean peak weekly hospitalization rate nearly doubled from pre-pandemic to recovery (5.1 to 11.1 per 100,000), cumulative seasonal burden increased from 46.3 to 87.0 per 100,000, and median peak timing advanced from MMWR week 9 to week 50. STL decomposition revealed a marked shift from weak pre-pandemic seasonality (Fs = 0.14) to substantially stronger annual regularity (Fs = 0.98) across three recovery seasons, with threefold amplitude increase. Non-Hispanic Black persons had rate ratios of 1.72, 2.16, and 1.99 relative to White persons across phases; American Indian and Alaska Native persons showed the highest disruption-phase ratio (2.24, 95% CI 1.90–3.53), based on two contributing seasons. A flat-growth Prophet model detected first exceedance in February 2020, outperforming a linear-growth specification on held-out validation. Isolation Forest identified 2017–2018, 2023–2024, and 2024–2025 as robust anomalies across all contamination thresholds. Conclusions: Post-COVID-19 pandemic influenza recovery is characterized by intensified and restructured seasonality, persistent racial and ethnic disparities, and anomalous burden exceeding pre-pandemic projections, identified independently by time-series forecasting and unsupervised anomaly detection. Full article

Introduction: Pedestrians lying on the road—collapsed through medical emergency, intoxication, or displacement following a prior collision—represent a disproportionately lethal and underaddressed category in road traffic safety. Forensic database analyses derived from Japan’s national police records document a fatality rate of 33.0% for collisions involving pedestrians lying on the road, more than double the rate for upright pedestrian collisions. Standard Advanced Driver-Assistance Systems (ADAS) yield a True Positive Rate (TPR) of only 21.4% for detecting pedestrians lying on the road under night conditions—a classification gap of 73.3 percentage points. Methods: In simulation trials, we evaluated the Advanced Falling Object Detection System (AFODS—where “falling object” denotes the low-profile human form at road level, distinguishing the prone pedestrian from the upright postures addressed by conventional ADAS) on a composite dataset of 3200 annotated fall events and 12,000 negative samples (training/validation), with 320 independent controlled simulation trials used for performance evaluation, spanning real-world, forensic-reconstruction, and Total Human Body Model for Safety (THUMS)-validated synthetic scenarios. No physical prototype has been evaluated; all performance data are derived from simulation, and 37.5% of positive samples are synthetically generated. These simulation conditions represent a first feasibility demonstration pending real-world hardware validation. This paper introduces three original contributions absent from prior work: a three-stage quantitative injury-risk model, a formal ISO 26262 Hazard Analysis and Risk Assessment (HARA), and a medicolegal SHAP interpretability framework. The injury-risk model translated detection latency via impact velocity to Head Injury Criterion (HIC) and estimated fatal injury probability (AIS ≥ 5); these model outputs should be interpreted as exploratory estimates pending ATD validation. Reporting follows principles consistent with the TRIPOD statement. Results: Under clear daytime conditions, AFODS demonstrated a TPR of 98.2% (95% CI: 97.4–98.8%) in simulation, decreasing to 95.6% under night dry-road conditions and 89.4% under night rain. The system achieved an AUC of 0.981 and a mean end-to-end latency of 46.5 ms, representing a 76.8 percentage-point improvement in simulation over the monocular RGB baseline (p < 0.001). The injury-risk model projects a reduction in estimated fatal head injury probability from 66.2% (Monte Carlo mean) (no detection, 50 km/h full-speed impact) to 0.7% under AFODS worst-case night/rain conditions, and to ≈0% under clear daytime simulation conditions. Conclusions: A 73.3 percentage-point classification gap places pedestrians lying on the road outside the effective detection envelope of current ADAS, compounded by the systematic exclusion of non-upright postures from regulatory test protocols and benchmark datasets. AFODS supports proof-of-concept feasibility under simulation conditions. Three translational steps are required: prototype validation on real-world hardware using instrumented Anthropomorphic Test Devices (ATDs); prone-posture biomechanical injury modelling using HIC and BrIC criteria; and regulatory extension of pedestrian AEB test standards to non-upright scenarios. Full article

Background/Objectives: South Korea has experienced a rapid transition from widespread food insecurity and undernutrition to a comprehensive and institutionalized nutrition policy system. This study aimed to examine the historical evolution of Korean nutrition policy and nutrition education from the 1960s to the present and to explore its implications for global nutrition governance and nutrition-related Official Development Assistance (ODA). Methods: A narrative review was conducted using historical documents, government reports, nutrition policies, national health plans, legislation, and previous academic studies related to Korean nutrition policy and nutrition education. Results: Korean nutrition policy evolved through several developmental phases, including an aid-dependent relief period, a state-led food security and school feeding expansion phase, a preventive health and nutrition education phase, and a stage of legal and institutional consolidation. More recently, policies have shifted toward evidence-based, equity-oriented, and life-course approaches. Korea has also expanded its nutrition policy experience through ODA initiatives by supporting institutional development, workforce training, community-based nutrition education, and adaptable nutrition management systems in developing countries. Conclusions: Korea’s experience demonstrates how long-term governmental commitment, legislation, surveillance systems, and nutrition education can contribute to national nutrition improvement during rapid socioeconomic transition. These findings may provide useful insights for countries facing the double burden of malnutrition and seeking sustainable and adaptive nutrition policy systems. Full article

Introduction: The Lebranche mullet (Mugil liza) is a commercially important fish species in southeastern and southern Brazil, which serves as the primary spawning ground for the Southern stock that supports the Brazilian industrial seine fleet. However, this stock’s distribution extends into Argentine waters (northern Patagonian shelf), and the connectivity between mullets caught in Brazil and their breeding areas across South America remains poorly understood. The authors hypothesized that adult mullets landed by the Brazilian fleet consist of two distinct groups: A local group originating in Brazilian waters (BR1) and a migratory group (BR2) that uses nursery areas in Argentina (AR). BR2 presumably returns to its original nursery grounds after spawning, to recover reproductive tissues, following a different migratory pattern than BR1. Objectives: To test this, the study analyzed the micro-chemical life history of 134 otoliths from mullets aged 0+ to 11 years using LA-ICP-MS. Methodology: Two elemental ratios (Ba/Ca and Sr/Ca) were measured from the otolith core to the edge and modelled using a generalized additive model for scale and shape (GAMLSS). Life history transitions were evaluated by pairwise comparisons of fitted values among ages. Results: GAMLSS showed that Ba/Ca ratios differed significantly among groups (AR ≠ BR1 ≠ BR2). In contrast, Sr/Ca ratios were similar between AR and BR2 during the first four years of life, significantly differing from those of BR1. Using empirically established thresholds for estuarine vs. marine habitats, the study determined that BR2 individuals leave nursery areas between ages 5 and 6, migrate back around age 8, and live there one last time after age 10 (the species’ maximum age). BR1 leaves nurseries after age 4 and returns between ages 5 and 6, exhibiting a shorter reproductive cycle. Importantly, the analysis of reproductive tissue mass showed that the weight after age 7 approximately matched the weight at age 3. After recovery, reproductive tissues doubled in weight before the second migration to spawn at sea. Conclusions: These findings provide crucial insights into M. liza’s life cycle, highlighting the need for shared stock management not only with neighboring nations (Argentina and Brazil) but also on a regional scale. Full article

Achieving carbon neutrality requires simultaneous advances in both the quantity and quality of low-carbon technology innovation (LCTI). This paper uses a country–industry–year three-dimensional panel dataset covering 25 EU member states and 39 two-digit NACE Rev. 2 industries over the period 2003–2020 to examine the effects of energy market integration (EMI) on LCTI quantity and quality. An EMI index is constructed based on cross-national energy price dispersion, and the analysis employs Poisson pseudo-maximum likelihood estimation with three-way fixed effects, complemented by a Bartik instrumental variable and double/debiased machine learning as supporting robustness evidence. Results show that: (1) EMI exerts significant positive effects on both LCTI quantity and quality; (2) Mechanism tests reveal that EMI operates through two channels: expansion of energy R&D investment and intensification of cross-border knowledge spillovers; (3) Heterogeneity analysis shows that the promoting effects are concentrated in countries with adequate R&D investment and active energy market competition, and in industries with low emission intensity and low energy intensity. These findings suggest that deepening regional energy market integration constitutes a meaningful institutional complement to conventional low-carbon innovation policy. Full article

Background: Clostridioides difficile infection (CDI) remains a leading cause of hospital-acquired infection. Metabolic-dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease worldwide and has been associated with increased infectious susceptibility. However, whether non-cirrhotic MASLD independently worsens inpatient CDI outcomes and whether this differs across the MASLD spectrum remain unclear. Methods: We conducted a retrospective cohort study using the National Inpatient Sample (NIS) 2017–2023, identifying adult hospitalizations with a principal diagnosis of CDI. Patients with cirrhosis and alcoholic liver disease were excluded. Propensity score matching (1:1) was performed for the primary MASLD vs. non-MASLD comparison in the principal-diagnosis CDI cohort. To evaluate whether outcomes differ across the MASLD spectrum, survey-weighted multivariable logistic regression was used to compare K76.0-coded (MASLD without steatohepatitis) and K75.81-coded (MASH) hospitalizations against non-MASLD/MASH hospitalizations within the principal-diagnosis CDI cohort. The primary outcome was in-hospital mortality; secondary outcomes included complications, healthcare utilization, and discharge disposition. Results: The principal-diagnosis CDI cohort comprised 76,103 discharges (weighted ~380,515). MASLD prevalence among non-cirrhotic CDI hospitalizations nearly doubled from 1.98% in 2017 to 3.74% in 2023 (OR per year 1.089; p < 0.001). After propensity score matching (1756 pairs), MASLD was not associated with significantly higher in-hospital mortality (OR 1.252; p = 0.574) or most adverse outcomes, but was associated with lower odds of non-routine discharge (OR 0.794; p = 0.003). In the matched utilization analysis, length of stay and total charges were not significantly different, although the adjusted pre-match analysis showed higher charges among MASLD hospitalizations (+$4431; p = 0.001). Within the same principal-diagnosis cohort, K76.0-coded MASLD (n = 1988) was associated with lower odds of acute kidney injury (aOR 0.821; p = 0.004) and non-routine discharge (aOR 0.805; p = 0.001). K75.81-coded MASH (n = 197) was independently associated with higher in-hospital mortality (aOR 2.840, 95% CI 1.154–6.985; p = 0.023) and peritonitis (aOR 4.136, 95% CI 1.543–11.082; p = 0.005), although confidence intervals were wide and the number of MASH-coded hospitalizations was modest. Conclusions: The prevalence of MASLD among CDI hospitalizations is rising. Non-cirrhotic MASLD without steatohepatitis does not independently worsen inpatient CDI outcomes after adjustment, whereas K75.81-coded MASH may identify a higher-risk subgroup with increased mortality and peritonitis, pending confirmation in larger cohorts. These findings suggest that hepatic inflammatory activity, rather than steatosis alone, may drive adverse CDI outcomes and support further investigation of MASLD phenotyping in CDI risk stratification. Full article

Rowing performance depends on boat velocity and technical efficiency, varying across boat classes. We quantified intracycle velocity variation (IVV) during 2000 m competitions using a GPS- and accelerometry-based monitoring and examined its relationship with biomechanical variables. Forty-nine races were recorded during three national regattas, involving 206 experienced rowers (72 females). Boats were classified by discipline (sweep vs. sculling) and length (short vs. long). Boat velocity and position were recorded using GPS (15 Hz) and accelerometry (100 Hz). Sculling boats demonstrated higher average velocity and lower IVV than sweep boats (p ≤ 0.05), possibly due to reduced lateral asymmetries. Long boats (quadruple scull, four and eight) reached significantly higher maximum, average, and minimum velocities than short boats (single scull, double scull, and pair) (all p ≤ 0.05), as well as greater technical index and distance per cycle. Correlation analysis identified large associations (r ≥ 0.5): in long boats, maximum and minimum velocity (r = 0.79) and cycle rate with distance per cycle (r = −0.50), whereas in short boats, average velocity was associated with minimum velocity (r = 0.76), technical index (r = 0.84) and distance per cycle (r = 0.64). In conclusion, IVV appears to be influenced by boat class and crew characteristics, representing a relevant sensor-derived indicator for monitoring technical efficiency in competitive rowing. Full article

Using panel data from Chinese cities spanning 2010–2023 and leveraging the natural experiment provided by the establishment of the National Big Data Comprehensive Pilot Zone (NBDPZ), we employed the difference-in-differences (DID) method alongside double machine learning (DML) to systematically examine how these policies influence urban economic resilience efficiency. The empirical results demonstrate that the NBDPZ significantly enhances urban economic resilience efficiency. This finding is robust under parallel trend and placebo tests, confirming that the improvement is a policy-driven causal effect. Mechanism analysis reveals that the policy enhances urban economic resilience efficiency primarily by promoting the upgrading and rationalization of industrial structure to consolidate the micro-foundation of sustainable economic transformation; increasing innovation output to facilitate the sustainable accumulation of knowledge capital; and enhancing urban entrepreneurial activity to inject sustainable endogenous vitality into the economic system. Heterogeneity analysis indicates that the positive effects are more pronounced in eastern and western regions, second-tier cities, and cities with lower industrial agglomeration, better digital infrastructure, and stronger legal and regulatory environments. The study’s findings offer both theoretical support and practical guidance for refining the policy framework of the NBDPZ policy and promoting sustainable urban economic development. Full article

The global renewable energy sector now represents the world’s fastest-growing sector, with growth projected to more than double by 2030 and expected to exceed 4600 GW between 2025 and 2030. This is driven by falling costs, increasing consumer awareness, sustainable energy production models, and national and international climate commitments. This review study aims to discuss the transformation initiatives in the renewable energy sector with net-zero targets. A total of 89 studies published between 2020 and 2026 were identified for this literature review. The results indicate that digital transformation has the potential to significantly optimize the performance of the renewable energy sector by resolving its sustainability issues. This study discusses the waste types and waste management strategies in the renewable energy sector. It also highlights the indicators, barriers, and drivers of sustainable performance in the renewable energy sector by integrating advanced technological solutions in manufacturing, supply chain management, maintenance, monitoring, and the management of renewable energy equipment. The study findings demand global commitment and policy coordination in achieving the goals of decarbonization. The literature insights highlight future core research fields and can guide international organizations, industrial policymakers, and academic scholars towards a better and more sustainable future. Full article