Search Results (143)

Rural revitalization, as a crucial strategic goal for rural development in contemporary China, encompasses multidimensional connotations and requirements. Following the establishment of the ‘three rights separation’ system in 2014, land transfer has increasingly assumed a vital role, demonstrating a close and complex intrinsic logical relationship with rural revitalization. To comprehensively analyze the diverse impacts of land transfer on rural revitalization as discussed in the literature, we employ a ‘goal–strategy–indicator–outcome’ analytical framework to conduct a meta-analysis and visual assessment of 131 cases drawn from 52 articles published over the past decade. We systematically explore the pathways by which land transfer impacts rural revitalization and validate the results using typical cases reported by the Ministry of Agriculture and Rural Affairs through Python 3.9 analysis. The findings reveal the following: (1) Land transfer generally exerts a positive impact on rural revitalization (81.7% of 107 cases). (2) It significantly boosts living standards (84% positive cases) and industrial prosperity (88.4% positive cases); rural cultural civilization shows 100% positive cases yet with statistically insignificant coefficients, while its impacts on ecological livability (60%) and effective governance (70.6%) are insignificant. (3) Among 12 indicators, those related to agricultural production and farmers’ livelihoods are positive, whereas those concerning rural ecology and governance are negative. This study indicates that land transfer plays a key role in the rural revitalization strategy, but the ecological impacts and governance challenges that it presents require ongoing attention and optimization at the policy level. Full article

Trajectory prediction under multimodal information is critical for autonomous driving, necessitating the integration of dynamic vehicle states and static high-definition (HD) maps to model complex agent–scene interactions effectively. However, existing methods often employ static scene encodings and unstructured latent spaces, limiting their ability to capture evolving spatial contexts and produce diverse yet contextually coherent predictions. To tackle these challenges, we propose MS-SLV, a novel generative framework that introduces (1) a time-aware scene encoder that aligns HD map features with vehicle motion to capture evolving scene semantics and (2) a structured latent model that explicitly disentangles agent-specific intent and scene-level constraints. Additionally, we introduce an auxiliary lane prediction task to provide targeted supervision for scene understanding and improve latent variable learning. Our approach jointly predicts future trajectories and lane sequences, enabling more interpretable and scene-consistent forecasts. Extensive evaluations on the nuScenes dataset demonstrate the effectiveness of MS-SLV, achieving a 12.37% reduction in average displacement error and a 7.67% reduction in final displacement error over state-of-the-art methods. Moreover, MS-SLV significantly improves multi-modal prediction, reducing the top-5 Miss Rate (${\mathrm{MR}}_5$) and top-10 Miss Rate (${\mathrm{MR}}_{10}$) by 26% and 33%, respectively, and lowering the Off-Road Rate (ORR) by 3%, as compared with the strongest baseline in our evaluation. Full article

This study employs Particle Image Velocimetry (PIV) technology to investigate the statistical properties and flow structures of the turbulent boundary layer over smooth walls and riblet walls with yaw angles of 0, ±30° in both clear water and liquid–solid two-phase flow fields. The results indicate that, compared to the smooth wall, streamwise riblet walls and 30° divergent riblet walls can reduce the boundary layer thickness, wall friction force, comprehensive turbulence intensity, and Reynolds stress, with the divergent riblet wall being more effective. In contrast, convergent riblet walls have the opposite effect. The addition of particles leads to an increase in boundary layer thickness and a reduction in wall friction resistance, primarily by reducing turbulence fluctuations and Reynolds stress in the logarithmic region of the turbulent boundary layer. Moreover, the two types of drag-reduction riblet walls can decrease the energy content ratio of near-wall streak structures and suppress their motion in the spanwise direction. Their impact on burst events is mainly characterized by a reduction in the number of ejection events and their contribution to Reynolds shear stress. In comparison, convergent riblet walls have the complete opposite effect and also enhance the intensity of burst events. The addition of particles can fragment streak structures and suppress the intensity and number of burst events, acting similarly on drag-reduction riblet walls and further strengthening their drag reduction characteristics. Full article

Background: Sarcopenia is a syndrome associated with aging, characterized by a progressive decline in skeletal muscle mass and function. Its onset compromises the health and longevity of older adults by increasing susceptibility to falls, fractures, and various comorbid conditions, thereby diminishing quality of life and capacity for independent living. Accumulating evidence indicates that moderate-intensity aerobic exercise is an effective strategy for promoting overall health in older adults and exerts a beneficial effect that mitigates age-related sarcopenia. However, the underlying molecular mechanisms through which exercise confers these protective effects remain incompletely understood. Methods: In this study, we established a naturally aging mouse model to investigate the effects of a 16-week treadmill-based aerobic exercise regimen on skeletal muscle physiology. Results: Results showed that aerobic exercise mitigated age-related declines in muscle mass and function, enhanced markers associated with protein synthesis, reduced oxidative stress, and modulated the expression of genes and proteins implicated in mitochondrial quality control. Notably, a single session of aerobic exercise acutely elevated circulating levels of β-hydroxybutyrate (β-HB) and upregulated the expression of BDH1, HCAR2, and PPARG in the skeletal muscle, suggesting a possible role of β-HB–related signaling in exercise-induced muscle adaptations. However, although these findings support the beneficial effects of aerobic exercise on skeletal muscle aging, further investigation is warranted to elucidate the causal relationships and to characterize the chronic signaling mechanisms involved. Conclusions: This study offers preliminary insights into how aerobic exercise may modulate mitochondrial quality control and β-HB–associated signaling pathways during aging. Full article

Visual Place Recognition (VPR) constitutes a pivotal task in the domains of computer vision and robotics. Prevailing VPR methods predominantly employ RGB-based features for query image retrieval and correspondence establishment. Nevertheless, such unimodal visual representations exhibit inherent susceptibility to environmental variations, inevitably degrading method precision. To address this problem, we propose a robust VPR framework integrating RGB and depth modalities. The architecture employs a coarse-to-fine paradigm, where global retrieval of top-N candidate images is performed using fused multimodal features, followed by a geometric verification of these candidates leveraging depth information. A Discrete Wavelet Transform Fusion (DWTF) module is proposed to generate robust multimodal global descriptors by effectively combining RGB and depth data using discrete wavelet transform. Furthermore, we introduce a Spiking Neuron Graph Matching (SNGM) module, which extracts geometric structure and spatial distance from depth data and employs graph matching for accurate depth feature correspondence. Extensive experiments on several VPR benchmarks demonstrate that our method achieves state-of-the-art performance while maintaining the best accuracy–efficiency trade-off. Full article

Accurate and robust navigation is fundamental to Unmanned Aerial Vehicle (UAV) remote sensing operations. However, the susceptibility of UAV navigation sensors to diverse interference and malicious attacks can severely degrade positioning accuracy and compromise mission integrity. Addressing these vulnerabilities, this paper presents an integrated framework combining sensor anomaly detection with a Dynamic Adaptive Extended Kalman Filter (DAEKF) and federated filtering algorithms to bolster navigation resilience and accuracy for UAV remote sensing. Specifically, mathematical models for prevalent UAV sensor attacks were established. The proposed framework employs adaptive thresholding and residual consistency checks for the real-time identification and isolation of anomalous sensor measurements. Based on these detection outcomes, the DAEKF dynamically adjusts its sensor fusion strategies and noise covariance matrices. To further enhance the fault tolerance, a federated filtering architecture was implemented, utilizing adaptively weighted sub-filters based on assessed trustworthiness to effectively isolate faults. The efficacy of this framework was validated through rigorous experiments that involved real-world flight data and software-defined radio (SDR)-based Global Positioning System (GPS) spoofing, alongside simulated attacks. The results demonstrate exceptional performance, where the average anomaly detection accuracy exceeded 99% and the precision surpassed 98%. Notably, when benchmarked against traditional methods, the proposed system reduced navigation errors by a factor of approximately 2-3 under attack scenarios, which substantially enhanced the operational stability of the UAVs in challenging environments. Full article

Urgency and severity of climate change impacts have become increasingly prominent, making the enhancement of corporate climate risk disclosure (CCRD) a shared demand among regulators, investors, and the general public. From the perspective of irrational behavioral traits, this paper utilizes a sample of A-share-listed companies in China from 2008 to 2022 to empirically examine the impact of executives’ overseas experiences on CCRD and its underlying mechanisms. To measure firm-level climate risk disclosure, we employ machine learning-based textual analysis techniques and match the constructed disclosure indicators with firms’ financial data. The results demonstrate that executives with overseas experience significantly enhance the level of CCRD, and this effect remains consistent after a series of robustness tests. This effect operates through the dual paths of “climate attention allocation enhancement” and “management myopia mitigation”. Moreover, the positive impact of overseas experience is more pronounced among firms in climate-sensitive industries and regions with lower climate awareness. A further analysis of executive overseas experience characteristics shows that executives with experience in developed economies and those with international educational backgrounds exhibit a stronger influence in promoting CCRD. Additionally, an investigation into the economic consequences demonstrates that executives with overseas experiences not only improve firms’ ESG performances but also help reduce ESG rating discrepancies, reinforcing the beneficial role of overseas exposure in corporate governance. The findings not only provided micro-level empirical evidence for the effectiveness of talent recruitment policies in emerging economies but also yielded critical policy implications for regulatory bodies to refine climate disclosure frameworks and enable enterprises to leverage opportunities in low-carbon transition. Full article

Clams from the Fujian group, the Laizhou group, and the zebra strain group were used in this investigation; their shell lengths were 1.0 cm, 1.5 cm, and 2.0 cm, respectively. Tests were conducted on substrates with particle sizes ranging from 151 to 180 µm, 181 to 250 µm, 251 to 425 µm, and 426 to 850 µm. Both centralized and decentralized sowing modes were used. According to the findings, the clams with the 1.0 cm shell length had the highest burrowing rate and the lowest ET₅₀. From 0 to 120 min, the burrowing rate of the zebra strain group was higher than that of the other groups. Clams with shell lengths of 1.0 cm and 1.5 cm had similar burrowing rates at the end of the test, with the zebra strain group having the highest burrowing rate. Manila clams burrowed more quickly when the substrate’s particle sizes were between 181 and 425 µm. The clam burrowing rates in the decentralized sowing mode were high during the first 20 min of the test, but at the end of the test, there was no significant difference between the two sowing modes (p > 0.05). In summary, there were differences in the burrowing ability among the three groups. The clams with a shell length of 1.0 cm in the three groups had a higher burrowing efficiency, and the decentralized sowing mode was more conducive to the clams quickly burrowing into the substrate. Full article

To investigate the genetic diversity and structure of farmed Chinese three-keeled pond turtles (Mauremys reevesii), we performed whole-genome resequencing on 238 individuals from eight farms across six Chinese regions. Genetic diversity indices (nucleotide diversity π, inbreeding coefficient F_HOM, polymorphism information content PIC, observed heterozygosity Ho), principal component analysis (PCA), phylogenetic reconstruction, and population structure analysis were integrated. The results revealed that the Guangdong Maoming (MM) and Anhui Wuwei (WW) populations exhibited the highest genetic diversity (MM: PIC = 0.149, Ho = 0.299; WW: PIC = 0.144, Ho = 0.287), while the Guangdong Huizhou (HZ) and Hunan Changhan (CH) populations showed the lowest diversity due to elevated inbreeding coefficients (HZ: F_HOM = 0.043; CH: F_HOM = 0.041). Low genetic differentiation (F_st = 0.00043–0.04758) indicated limited population divergence. However, PCA and phylogenetic analysis demonstrated that MM and Guangxi Pingxiang (PX) populations formed distinct genetic clusters, suggesting that management differences might contribute to their genetic uniqueness. Admixture analysis identified K = 2 (based on the lowest cross-validation error) as the optimal ancestral cluster number, with MM and PX populations displaying admixed genetic backgrounds while others showed homogeneous compositions. Conservation priorities should focus on preserving MM and PX’s unique genetic resources, introducing genetic material to high-inbreeding populations, and establishing interregional breeding networks. This study provides genomic insights for germplasm conservation and sustainable utilisation of M. reevesii. Full article

PA66 is a widely used engineering plastic, but its flammability reduces safety during application. The 9,10-dihydro-9-oxa-10-phosphaphenanthrene 10-oxide (DOPO) and its derivatives are a class of flame retardants with excellent flame-retardant efficiency, which can significantly improve the flame retardancy of PA66. This work synthesized a DOPO derivative flame retardant, DT, containing multiple P/N elements and comprehensively characterized its structure using FTIR and NMR. Flame-retardant PA66 materials were prepared by twin-screw extrusion blending with PA66, and their thermal stability, crystallization properties, flame retardancy, and mechanical properties were investigated. When the DT content reached 15%, the vertical burning classification test achieved the UL-94 V-0, and the limiting oxygen index (LOI) rose up 27.2%. In the cone calorimeter test, the peak of heat release rate (PHRR) and total heat release (THR) of the material decreased significantly, and a distinct char layer formed, increasing NH₃ release and decreasing the C-H structure after combustion, improving PA66 flame-retardant properties. Full article

Farmer professional cooperatives are the focus objects of agricultural carbon emission reduction; with the use of the advantages of scale economy and technology, one can promote the development of low-carbon agriculture. In order to study the influencing factors of agricultural carbon emission reduction on farmer professional cooperatives, we explore the interaction effects of carbon emission reduction behavior between farmer professional cooperatives and farmers under government interventions. This paper introduces a carbon transaction mechanism as well as reward and punishment polices into a tripartite evolutionary game model between farmer professional cooperatives, governments, and farmers. Based on the model, we identify a stable evolution strategy and perform simulation analysis. The results indicate that the carbon transaction mechanism can effectively suppress the negative effect of increased costs through higher revenues of the carbon transaction, and carbon prices above 60 CNY/ton enable cooperatives to reduce regional emissions. Higher revenues can promote positive carbon emission reduction behaviors of farmer professional cooperatives and farmers. The sharing ratio increases from 20% to 80%, and farmers gain additional benefits by cooperating in the farmer professional cooperative practices to reduce emissions. Rational regulation of carbon transaction price and quota can promote the participation of farmer professional cooperatives in carbon emission reduction practices and promote the farmers’ inclusion into farmer professional cooperatives. Full article

In this study, 43 strains of Staphylococcus spp. and 22 strains of lactic acid bacteria (LAB), isolated from six representative fermented meat products (domestic and international), were subjected to a comprehensive safety evaluation, including hemolytic activity, catalase test, hydrogen sulfide production, and antibiotic susceptibility screening. Nine strains were selected for secondary screening based on safety criteria, fermentation characteristics, and acid and salt tolerance tests. Two optimal strains were identified—Staphylococcus saprophyticus LH-5 and Latilactobacillus sakei OFN-11—demonstrating excellent compatibility and no mutual antagonism. Both strains were non hemolytic, catalase positive, susceptible to some of the antibiotic tested, and did not produce hydrogen sulfide, mucus, or gas. These favorable fermentation characteristics included lipase/protease production, amino acid decarboxylase negativity, and salt and acid tolerance. Application experiments in fermented sausages were analyzed for 55 volatile compounds, related to meaty, fruity, and fatty aroma profiles compared to commercial starter cultures. The formulation including the selected strains exhibited lower acidity than its commercial unterparts while maintaining superior sensory and physicochemical attributes. These findings suggest that the S. saprophyticus LH-5 and L. sakei OFN-11 consortium holds promising potential as a starter culture for fermented meat products, offering technological advantages to become a fermentation agent that meets the preferences of Chinese consumers. Full article

Water hardening and NO₃⁻ pollution have affected water quality globally. These environmental problems threaten social sustainability and human health, especially in piedmont agricultural areas. The aim of this study is to determine the biogeochemical mechanisms of HCO³–Ca water and NO₃⁻ pollution in a typical piedmont agricultural area (Qingshui River, Zhangjiakou, China). Here, an extensive biogeochemical investigation was conducted in a typical piedmont agricultural area (Qingshui River, China) using multiple hydrochemical, isotopic (δ²H-H₂O, δ¹⁸O-H₂O and δ¹³C-DIC) and molecular-biological proxies in combination with a forward model. In the region upstream of the Qingshui River, riverine hydrochemistry was dominated by HCO₃–Ca water, with only NO₃⁻ concentrations (3.08–52.8 mg/L) exceeding the acceptable limit (10 mg/L as N) for drinking water quality. The riverine hydrochemistry responsible for the formation of HCO₃–Ca water was mainly driven by carbonate dissolution, with a contribution rate of 49.8 ± 3.96%. Riverine NO₃⁻ was mainly derived from agricultural NH₄⁺ emissions rather than NO₃⁻ emissions, originating from sources such as manure, domestic sewage, soil nitrogen and NH₄⁺-synthetic fertilizer. Under the rapid hydrodynamic conditions and aerobic water environment of the piedmont area, NH₄⁺-containing pollutants were converted to HNO₃ by nitrifying bacteria (e.g., Flavobacterium and Fluviimonas). Carbonate (especially calcite) was preferentially and rapidly dissolved by the produced HNO₃, which was attributed to the strong acidity of HNO₃. Therefore, higher levels of Ca²⁺, Mg²⁺, HCO₃⁻ and NO₃⁻ were simultaneously released into river water, causing riverine HCO₃–Ca water and NO₃⁻ pollution in the A-RW. In contrast, these biogeochemical mechanisms did not occur significantly in the downstream region of the river due to the cement-hardened river channels and strict discharge management. These findings highlight the influence of agricultural HNO₃ on HCO₃–Ca water and NO₃⁻ pollution in the Qingshui River and further improve the understanding of riverine hydrochemical evolution and water pollution in piedmont agricultural areas. Full article

Under the strategic objectives of carbon peaking and carbon neutrality, it is inevitable for large-scale integration of renewable energy into thermal power units. Nevertheless, improving the capacity of these units for flexible peak shaving is necessary on account of the intermittent and instability of renewable energy. As a novel combustion technology, self-preheating combustion technology offers enormous merits in this aspect, with increasing combustion efficiency (η) and controlling NO_x emissions simultaneously. Considering production and operation cost, installation difficulty and environmental pollution, this study innovatively proposed a compact fluidized modification device (FMD) on the basis of this technology and explored the influences of buffer tank and operation load on operation stability, fuel modification, combustion characteristics and NO_x emissions on an MW grade pilot-scale test platform. Afterwards, the comparative analysis on performance disparities was further launched between FMD and traditional self-preheating burner (TSB). Adding the buffer tank enhanced operation stability of FMD and improved its modification conditions, and thus promoted NO_x emission control. Optimal modification efficiency was realized at medium and high loads, respectively, for high-volatile and low-volatile coals. As load increased, η increased for high-volatile coal, but with NO_x emissions increasing. In comparison, this condition reduced NO_x emissions with high η for low-volatile coal. Compared to TSB, FMD demonstrated more conspicuous advantages in stable operation and fuel modification. Simultaneously, FMD was more conducive to realizing clean and efficient combustion at high temperatures. In industrial applications, appropriate FMD or TSB should be picked out grounded in diverse application requirements. By optimizing burner structure and operational parameters, original NO_x emissions decreased to a minimum of 77.93 mg/m³ with high η of 98.59% at low load of 30%. Full article

To address the limitations of low CuO loading and poor dispersion in conventional supported adsorbents, in this study, MOF (metal–organic framework)-derived CuO with Ce doping (Cu_xCe_yO) was synthesized and used for the adsorption–oxidation of PH₃ under low-temperature and low-oxygen conditions. The results demonstrated that Ce doping increased the PH₃ capacity of the adsorbent from 75.54 mg·g⁻¹ (MOF-derived CuO) to 226.87 mg·g⁻¹ (Cu₁Ce_0.2O). The characterization results indicated that Ce doping significantly altered the physicochemical properties of CuO. Specifically, Cu₁Ce_0.2O exhibited optimal CuO dispersion, the highest adsorbed oxygen concentration, superior redox performance, an increased number of basic sites, and a larger specific surface area and pore volume, all contributing to its improved performance. Analysis of the exhausted adsorbent revealed the formation of Cu₃P and phosphoric acid. And the deactivation of the adsorbent can be attributed to the consumption of CuO and the blockage of pore structure. Surprisingly, the exhausted adsorbent demonstrated considerable photocatalytic performance due to the formation of Cu₃P, enabling the resource utilization of the waste adsorbent, making it a promising material for the adsorption–oxidation of PH₃. This waste-to-resource conversion reduces hazardous solid waste while creating value-added photocatalysts, establishing a sustainable lifecycle from pollutant removal to functional material regeneration. Full article