Search Results (145)

In intelligent vehicular networks, the accuracy of semantic segmentation in road scenes is crucial for vehicle-mounted artificial intelligence to achieve environmental perception, decision support, and safety control. Although deep learning methods have made significant progress, two main challenges remain: first, the difficulty in balancing global and local features leads to blurred object boundaries and misclassification; second, conventional convolutions have limited ability to perceive irregular objects, causing information loss and affecting segmentation accuracy. To address these issues, this paper proposes a global–local collaborative attention module and a spider web convolution module. The former enhances feature representation through bidirectional feature interaction and dynamic weight allocation, reducing false positives and missed detections. The latter introduces an asymmetric sampling topology and six-directional receptive field paths to effectively improve the recognition of irregular objects. Experiments on the Cityscapes, CamVid, and BDD100K datasets, collected using vehicle-mounted cameras, demonstrate that the proposed method performs excellently across multiple evaluation metrics, including mIoU, mRecall, mPrecision, and mAccuracy. Comparative experiments with classical segmentation networks, attention mechanisms, and convolution modules validate the effectiveness of the proposed approach. The proposed method demonstrates outstanding performance in sensor-based semantic segmentation tasks and is well-suited for environmental perception systems in autonomous driving. Full article

Against the background of intensifying human–land contradictions, evaluation of land use benefits and identification of obstacles are crucial for sustainable land management and socioeconomic development. Taking Henan Province as an example, this research employed the entropy weight method and TOPSIS model to assess the land use benefits across its cities from 2011 to 2020, a period of rapid land use transformation, analyzed their spatiotemporal evolution, and identified key obstacles via an obstacle degree model. The results showed the following. (1) The social land use benefits consistently exceeded the ecological and economic benefits, with steady improvements observed in both the individual and comprehensive benefits. Spatially, the benefits showed a “one city dominant” pattern, decreasing gradually from the central region to the south, north, east, and west, with this spatial gradient further intensifying over time. (2) Economic factors were the primary obstacles, with significantly higher obstruction degrees than social or ecological factors. The main obstacles were the general budget revenue of government finance per unit land area, domestic garbage removal volume, and total retail sales of social consumer goods per unit land area. (3) The policy implications focus on strengthening regional differentiated development by leveraging Zhengzhou’s core role to boost the land-based economic benefits, integrating social–ecological strengths with agricultural modernization, and promoting “core–periphery linkage” to narrow gaps through targeted industrial and infrastructure strategies. This study could provide region-specific insights for sustainable land management in agricultural provinces undergoing rapid urbanization. Full article

The BAHD acyltransferase family plays a critical role in plant secondary metabolism by catalyzing acyl transfer reactions that are essential for synthesizing metabolites involved in environmental adaptation. However, systematic investigation of this superfamily in Brassica napus has not been reported. In this study, 158 BnaBAHD genes were identified by comprehensive analyses of evolutionary relationships, motif structures, chromosomal distribution, gene collinearity, and selection pressures, and these genes were phylogenetically classified into five clades harboring conserved catalytic domains (HXXXD and DFGWG). Transient overexpression combined with metabolomic profiling demonstrated that two homologous seed-specific Clade V members, BnaBAHD040 and BnaBAHD120, which exhibited elevated expression during late seed development, significantly enhanced the accumulation of acylated metabolites contributing to biotic/abiotic stress resistance. This study provides the first experimental validation of the catalytic functions of BAHD enzymes in B. napus, establishing a theoretical foundation for leveraging this gene family in genetic improvement to develop novel rapeseed cultivars with enhanced stress tolerance and yield. Full article

Background: Influenza remains a persistent public health challenge due to antigenic drift and shift, necessitating vaccines capable of eliciting broad and durable immunity. Hemagglutinin (HA) antigen serves as the critical target for eliciting protective immune responses against influenza. DNA vaccines offer distinct advantages over conventional platforms, including accelerated development and induction of both humoral and cellular immune responses. Methods: To optimize HA antigen presentation, we designed and systematically compared the immunogenicity and protective efficacy of HA antigen display strategies—bacteriophage T4 fibritin (HA-Foldon) and ferritin-based virus-like particles (HA-Ferritin)—versus monomeric HA DNA vaccines against seasonal influenza viruses. Results: HA-Ferritin showed superior structural stability. All vaccines induced similar HA-specific antibody levels, but HA-Ferritin elicited higher neutralizing antibodies and stronger T cell responses. Upon challenge, HA-Ferritin and HA-Foldon protected mice from weight loss and reduced lung virus loads by 3.27 and 0.76 times, respectively. Monomeric HA provided limited protection, with only 40% survival and minimal viral or pathological reduction. Conclusions: The HA-Ferritin DNA vaccine demonstrated enhanced immunogenicity and protection, supporting structured antigen display as a promising strategy for influenza DNA vaccine development. Full article

The subway is crucial for urban operations, especially during holidays. Unlike traditional studies using smart card data, this research analyzes National Day holiday subway travel patterns with Hangzhou’s 2021 mobile payment data, covering 42 days from 6 September to 17 October for comprehensive comparison. Considering spatial passenger flow correlations, a Composite Weight (CW) matrix integrating network distance and time is defined and integrated into a Spatial Error Model (SEM), Spatial autoregressive model (SAR), and Spatial Durbin Model (SDM) to create CW-SEM, CW-SAR, and CW-SDM. The CW matrix innovatively considers network distance and time, overcoming traditional spatial weight matrix limitations to accurately and dynamically capture passenger flow spatial correlations. The results show the following: (1) Hangzhou saw 37% and 49% increases in average daily passenger flow during the extended holiday versus workdays and weekends, with holiday peak hour flow declining 16% compared to workdays but increasing 18% versus weekends, likely due to shifted travel purposes from commuting to tourism; (2) strong spatial passenger flow correlations existed in both workdays and weekends, attributed to urban functional zoning and transport network connectivity; (3) key factors such as population, social media activity, commercial facilities and transportation hubs show significant positive correlations with holiday passenger flow. Medical facility reveals significant negative correlations with holiday passenger flow. These findings highlight the need to incorporate spatial variations into major holiday subway travel studies for urban planning and traffic management insights. Full article

The study aimed to provide a possible strategy to evaluate the detoxifying efficacy of mycotoxin adsorbents in vivo by analyzing deoxynivalenol (DON) concentration in feces. Fifteen pigs were randomly assigned to five groups (groups A–E, 3 replicates/group). The pigs in each group were fed twice a day for 10 d with 500 g of designed diets (group A, commercial feedstuffs; group B, DON-contaminated (mildewed) feedstuffs; groups C, D, E, mildewed feedstuffs containing 0.2% adsorbent 1, 2, and 3, respectively). For each pig, 2-g fecal samples were collected pre-feeding and analyzed by ultra-performance liquid chromatography. Nondetectable or low concentrations of DON (<1.38 μg/g) were found in fecal samples from groups A and B. High concentrations of DON (>20 μg/g) were detected in six out of twenty fecal batches from pigs in group C. Moderate concentrations of DON (5.54–6.50 μg/g) were detected in one out of twenty fecal batches from pigs in group D and two out of twenty in group E. Based on the predefined evaluation criteria, higher DON concentration and frequency in feces indicate better adsorbent efficacy. Notably, Absorbent 1 demonstrated a more pronounced detoxification efficacy in vivo compared to the other two absorbents. Full article

Few-shot object detection (FSOD) in remote sensing remains challenging due to the scarcity of annotated samples and the complex background environments in aerial images. Existing methods often struggle to capture fine-grained local features or suffer from bias during global adaptation to novel categories, leading to misclassification as background. To address these issues, we propose a framework that simultaneously enhances local feature learning and global feature adaptation. Specifically, we design an Extensible Local Feature Aggregator Module (ELFAM) that reconstructs object structures via multi-scale recursive attention aggregation. We further introduce a Self-Guided Novel Adaptation (SGNA) module that employs a teacher-student collaborative strategy to generate high-quality pseudo-labels, thereby refining the semantic feature distribution of novel categories. In addition, a Teacher-Guided Dual-Branch Head (TG-DH) is developed to supervise both classification and regression using pseudo-labels generated by the teacher model to further stabilize and enhance the semantic features of novel classes. Extensive experiments on DlOR and iSAlD datasets demonstrate that our method achieves superior performance compared to existing state-of-the-art FSOD approaches and simultaneously validate the effectiveness of all proposed components. Full article

Background: Chrysanthemum is an economically important ornamental species whose genetic diversity assessment forms the foundation for effective breeding programs. Methods: Phenotypic characterization of 12 traits (7 quantitative and 5 qualitative traits) was conducted alongside SCoT marker analysis to assess genetic diversity and perform marker–trait association analysis in 65 chrysanthemum accessions. Results: Quantitative traits showed 14.81–26.43% variation (peduncle length most variable), while qualitative traits exhibited Shannon–Weiner indices of 0.23–2.28 (flower color most diverse). Phenotypic analyses consistently grouped accessions into two clusters. SCoT markers generated 160 bands (159 polymorphic; 6.957 bands/marker) with high PIC values (0.408–0.896). Molecular analyses also revealed two genetic groups, though with partial discordance to phenotypic clusters. Eight significant marker–trait associations were identified, linking SCoT28/3/30/31/35/20/14/36 to flowering duration, plant height, peduncle diameter, flower color, and pest resistance traits. Conclusions: The study revealed substantial diversity in local chrysanthemum germplasm, with SCoT markers effectively capturing genetic variation. While phenotypic and molecular groupings showed partial mismatch, identified marker–trait associations (e.g., SCoT28 linked to flowering duration) provide practical tools for marker-assisted breeding. Full article

Background/Objectives: The PACIFIC trial showed that immune checkpoint inhibitors (ICI) administered after concurrent chemoradiotherapy (cCRT) significantly improve survival in stage III unresectable non-small cell lung cancer (NSCLC). However, the optimal timing of ICI administration with cCRT is still debated, with concerns about increased risks of adverse effects, particularly radiation-induced pneumonitis (RP), from combining radiotherapy and immunotherapy. Methods: A search of multiple databases identified studies on stage III unresectable NSCLC patients receiving cCRT and ICI. A meta-analysis was performed utilizing the meta package in R software. Furthermore, data from 170 patients treated at Shandong Cancer Hospital and Institute between 2019 and 2023 were analyzed to assess RP following cCRT and ICI treatment. Results: The meta-analysis revealed that the incidences of ≥grade 2 RP were 25.3%, 24.3%, and 45.3% in the ICI following cCRT group, the ICI concurrent with cCRT group, and the ICI prior to cCRT group, respectively. The ICI prior to cCRT group exhibited significantly elevated rates. In the clinical retrospective study, ≥grade 2 RP was more prevalent in the ICI concurrent with cCRT group (HR: 2.258, 95% CI: 1.135–4.492, p = 0.020) and the ICI prior to cCRT group (HR: 2.843, 95% CI: 1.453–5.561, p = 0.002) compared with the ICI following cCRT group. Furthermore, a shorter interval between treatments correlates with an increased incidence of RP. Conclusions: Advancing the timing of ICI administration is associated with an increased incidence of ≥grade 2 RP following cCRT in patients with stage III unresectable NSCLC. Full article

The propagation of seismic waves and ultrasonic waves in rocks is significantly affected by dispersion and attenuation effects. When ultrasonic and seismic waves pass through rocks, the local flow of fluid in microcracks causes a substantial amount of energy attenuation, a phenomenon known as squirt flow. A simple analytical model is proposed in this paper to describe the attenuation and dispersion of isotropic fractured rocks due to squirt flow. Compared to the previous squirt flow model of the pore-crack model, this model adopts crack-to-crack flow configurations and considers the impact of crack connectivity and demonstrates higher accuracy in characterizing squirt-flow-induced wave dispersion and attenuation between cracks. In two complex extended geometric models, precise 3D numerical solutions were used to validate the results derived from the isotropic dual crack squirt flow analytical model, the P-wave modulus prediction error < 1% compared to numerical models. This study can be used for seismic data interpretation in fractured carbonate reservoirs. Full article

Spodoptera frugiperda, known as the fall armyworm (FAW), a major invasive pest in corn, is rapidly spreading all over the world. Similarly to other Lepidoptera insects, FAW pupae usually develop in soil. Therefore, the soil moisture level is expected to be an important factor impacting their growth. In order to study the development and emergence of FAW pupae in a 100% soil moisture environment, three factors were selected for experiments in this study: the duration of saturated (100%) moisture treatment (0 h, 24 h, 48 h, and 72 h), the initial soil moisture before the larvae entered the soil (0 and 50%), and pupal age (1 day, 4 days, and 7 days). We discovered that (1) the emergence percentage of FAW pupae decreased with an increase in the saturated soil moisture treatment time, and the emergence percentage dropped to 0 after 72 h of continuous treatment; (2) the younger the age of FAW pupae, the more susceptible they were to being affected by saturated soil moisture treatment, and the emergence percentage of 7-day-old pupae was higher than that of 1-day-old pupae; and (3) FAW larvae that pupated in dry soil (0% moisture) had pupae with higher survival rates under subsequent 100% soil moisture stress, whereas those pupating in moderately moist soil (50% moisture) had lower survival rates under the same condition. Our study showed that the initial moisture level of the soil and the length of time the soil is saturated have a significant impact on FAW pupal development. The three factors of excessive stress time, wet initial soil moisture (50%), and lower pupal age ultimately lead to a decrease in the emergence percentage and survival rate of FAW pupae. Full article

This article first selects the “Urban Statistical Yearbook” data of 264 prefecture-level cities in China from 2004 to 2018 as the raw data, and uses principal component analysis and the Wilson model to calculate the spatial information diffusion capacity of each prefecture-level city. The correlation analysis between industrial agglomeration, spatial information diffusion capacity, and urban economic resilience is verified, and this article provides reference materials for the specific application of principal component analysis and the Wilson model in urban economics. Full article

Geopolymers, as sustainable alternatives to conventional cement, face application limitations due to pronounced drying shrinkage. This study systematically investigates the effects of cement incorporation (0–40%) on the drying shrinkage mitigation and performance evolution of metakaolin-based geopolymers (MKBGs) through multi-scale characterization of mechanical properties, reaction kinetics, and pore structure refinement. Key findings reveal that 10% cement addition optimally reduces drying shrinkage through pore structure densification and elastic modulus enhancement. The cement–geopolymer hybrid system exhibited a distinctive dual-reaction mechanism: cement hydration produced C-S-H gels that refined the pore structure while simultaneously competing with and delaying the geopolymerization kinetics, as demonstrated by the extended duration of the reaction exotherm. However, cement contents exceeding 20% induce detrimental self-desiccation shrinkage, resulting in net shrinkage amplification. Microstructural analysis confirms that the optimal 10% cement dosage achieves synergistic phase evolution, with N-A-S-H and C-S-H gels co-operatively improving mechanical strength and dimensional stability. This work provides quantitative guidelines for designing shrinkage-resistant geopolymer composites through controlled cement hybridization. Full article

Brain-inspired bionic navigation is a groundbreaking technological approach that emulates the biological navigation systems found in mammalian brains. This innovative method leverages experiences within cognitive space to plan global paths to targets, showcasing remarkable autonomy and adaptability to various environments. This work introduces a novel bionic, goal-oriented path planning approach for mobile robots. First, an experience map is constructed using NeuroSLAM, a bio-inspired simultaneous localization and mapping method. Based on this experience map, a successor representation model is then developed through reinforcement learning, and a goal-oriented predictive map is formulated to address long-term reward estimation challenges. By integrating goal-oriented rewards, the proposed algorithm efficiently plans optimal global paths in complex environments for mobile robots. Our experimental validation demonstrates the method’s effectiveness in experience sequence prediction and goal-oriented global path planning. The comparative results highlight its superior performance over traditional Dijkstra’s algorithm, particularly in terms of adaptability to environmental changes and computational efficiency in optimal global path generation. Full article

Based on the relevant framework of evolutionary geography, this article explores the direct effect of industrial diversification on urban economic resilience and its indirect effect on urban economic resilience through entrepreneurial spirit. The research finds that during the period from 2018 to 2023, cities with a stronger degree of industrial diversification demonstrated stronger economic resilience in the face of external shocks. Industrial diversification can not only disperse the risks from external shocks, but more importantly, it can stimulate entrepreneurial spirit, thereby promoting innovation and transformation in industries and enhancing the economic resilience of cities. Full article