A new privacy-preserving data aggregation scheme supporting anonymous authentication is proposed to address the deficiencies of existing power injection schemes in terms of data availability and user identity privacy. First, an improved Paillier encryption algorithm is employed to ensure the confidentiality of power injection data, and a Merkle tree is constructed to store the aggregated ciphertext, thereby ensuring data integrity. Next, to prevent the association between users' real identity and their pseudonyms, a one-way hash function is used to generate multiple pseudonyms for each user, thus concealing their real identities and enhancing identity privacy. Specifically, to improve authentication efficiency while preserving user privacy, a Bloom filter is used for fast pseudonym validation, and the RSA signature algorithm is used to quickly verify data integrity. Finally, theoretical analysis and performance experiments show that the proposed scheme not only satisfies security requirements but also achieves superior computational performance compared to existing schemes, making it more suitable for resource-constrained V2G networks.

Existing global numerical weather prediction models typically provide large-scale, low-resolution forecasts, which are insufficient to meet the requirements of localized, fine-scale meteorological prediction. This study focuses on forecasting the 30-day average temperature in Fujian Province and proposes two deep learning approaches based on a multi-layer perceptron (MLP) and a convolutional neural network (CNN). Experimental results show that the independently trained CNN model with a 5×5 grid input achieves the best performance, reducing the mean absolute error (MAE) and mean squared error (MSE) by 65.3% and 86.7%, respectively, and increasing the correlation coefficient by 4.4%, compared to the baseline provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). These findings demonstrate that selecting appropriate grid scales and model architectures can substantially improve the accuracy of temperature forecasts in specific regions.

A scheme to simulate the multi-phonon quantum Rabi model (QRM) based on trapped ions is proposed in this paper. In this scheme, an ion is simultaneously driven by two laser beams tuned to nonresonant jth-order red and blue sidebands. Under certain conditions, the interaction between the driving lasers and the ion in the system can be described by the multi-phonon resonance QRM. In particular, when the frequency of the simulated two-level system is 3j times that of the simulated bosonic mode, the system exhibits resonant 3j-phonon coupling via intermediate states connected by counter-rotating processes. As a typical example, a three-phonon resonance QRM has been theoretically analyzed, and a nine-phonon state has been generated through adiabatic passage using this model.

This study proposes a scheme to enhance long-distance quantum entanglement between magnons and phonons in a cavity-magnon and cavity-optomechanical hybrid system. In this protocol, two microwave cavities are directly coupled, with one coupled to phonons via the optomechanical effect and the other to magnons via a magnetic-dipole interaction. By adjusting the frequency detuning between the microcavities and magnons, as well as the cavity-magnon, optomechanical, and cavitycavity coupling coefficients, and the Kerr nonlinearity coefficient, the degree of entanglement between magnons and phonons can be improved. Moreover, the entanglement between magnons and phonons shows a certain degree of robustness against changes in environmental temper-ature, which has both theoretical and practical significance for constructing magneto-acoustic sen-sors, processing quantum information, and achieving quantum storage.

A hybrid cavity-magnon system is proposed to enhance the steady-state entanglement and quantum steering between magnons by utilizing the Kerr nonlinearity of magnons and cross-Kerr nonlinearity between microwave cavities. The system consists of two microwave cavities and two yttrium iron garnet (YIG) spheres. By tuning the frequency detuning between microcavities and magnons, the cavity-magnon coupling coefficient, and the cross-Kerr nonlinearity coefficient, this scheme enhances quantum entanglement and steering between magnons. Furthermore, the constructed system exhibits strong robustness against environment-induced decoherence.

The physical and chemical properties and reaction mechanisms of persulfates are first introduced, followed by a description of the activation mechanisms of persulfates by ultraviolet (UV), ultraviolet co-activated with transition metals (UV/TM), visible light (Vis), and visible light co-activated with transition metals (Vis/TM). The research progress on relevant materials is summarized. Finally, the key challenges and development directions of photoactivated persulfate-based advanced oxidation processes for the removal of organic pollutants in the environment are dis-cussed and envisioned.

This review summarizes the mechanisms of cuproptosis, examines key factors in the tumor microenvironment that limit its occurrence, highlights recent advances in the use of nanomaterials to trigger cuproptosis and enhance cancer treatment efficacy, and explores future research directions in this area. These insights offer new ideas for expanding the application of nanomaterials in cancer treatment.

Bacterial endotoxins, the primary pyrogens, can induce fever and systemic inflammatory responses even at trace levels, and may progress to multiple organ dysfunction or death in severe cases. Consequently, developing highly sensitive and accurate endotoxin detection technologies is of critical importance. Although limulus amebocyte lysate (LAL) remains the gold standard for endotoxin detection, the overharvesting of horseshoe crabs whose blood is both scarce and irreplaceable has led to drastic population declines, exacerbating ecological risks and significantly con-straining reagent supply. Recombinant factor C (rFC), engineered via recombinant DNA technology, demonstrates superior performance metrics, including rapid detection kinetics, high sensitivity, strong specificity, and complete independence from animal-derived materials. As a strategic solution to the supply bottleneck of traditional LAL, rFC has been gradually recognized by pharmacopoeias worldwide and demonstrates broad application prospects.

This study investigated the metabolic network changes of Shewanella oneidensis MR-1 in the CdS-S. oneidensis MR-1 coupling system. The results showed that 0.1 mg·mL-1 CdS significantly affected the amino acid metabolism of S. oneidensis MR-1. Modular analysis showed that under light conditions, the metabolic network of S. oneidensis MR-1 exhibited a more structured characteristic, with an average degree of 4.12. Metabolic pathway analysis indicated that the upregulation of amino acid metabolic pathways might be a regulatory mechanism through which CdS regulates S. oneidensis MR-1 activity under light irradiation. These findings provide valuable insights into the interfacial interaction mechanisms of semiconductor-microbe hybrid systems at the molecular biological level.

Obesity is a chronic metabolic disorder involving complex biological mechanisms. This study examines the biological mechanisms underlying obesity development and the resulting health crises, explores the causes of obesity and the weight management challenges faced by diverse populations, and proposes a “five-pronged” coping strategy encompassing individual, peer-group, family, school, and society dimensions for effective obesity prevention and control.

Urbanization has resulted in a continuous increase in the proportion of impervious surfaces within cities. Accurately determining the distribution of impervious surfaces is of great significance for the research on urban ecological environment. Based on Landsat 7－9 multispectral re-mote sensing images from 2003 to 2022, this paper employs a linear spectral mixture model to esti-mate impervious surface coverage in Changle District, Fuzhou City, and analyzes the distribution and variation patterns of impervious surfaces over nearly 20 years. The results show that high-albedo features in the study area are primarily distributed along roads, airports, squares, Binhai New Town, and commercial areas, while low-albedo features are mainly concentrated in the old urban areas dominated by aging buildings. From 2003 to 2022, the area of impervious surfaces gradually increased. In 2022, the area increased by 64.74 km2 compared to 2003, with an average annual growth rate of 3.09%. Notably, the area increased most significantly between 2003 and 2013, with a total growth of 38.71 km2, and the expansion was mainly located in the northern part of Changle old town and the Binhai New Town area in the eastern part of Changle District. This study provides methodological support and empirical evidence for the dynamic monitoring of impervious surfaces and the assessment of urban environmental changes in rapidly urbanizing areas.

Taking the counties along the Wuyi Mountain National Forest Trail (Fujian section) as a case area, this study constructs a tourism ecological security evaluation index system based on the DPSIR model and applies the SBM-DEA model to calculate the tourism ecological security index from 2014 to 2020. Furthermore, the study employs the standard deviation ellipse model and the obstacle-degree model to examine the spatiotemporal evolution characteristics and main barrier factors of tourism ecological security in these counties. The results indicate that: (1) The average tourism ecological security index along the trail in these counties shows an “N”-shaped trend, with its centroid exhibiting a significant trajectory shift; (2) Tourism ecological security levels in these counties are primarily at the critical safety and very safe levels, with marked spatial differences; (3) The primary barrier factors affecting tourism ecological security in counties along the trail include the share of tourism revenue in GDP, total asset income of agriculture, forestry, and animal husbandry, and the share of the tertiary industry in GDP.

Utilizing the analytical framework of Actor-Network Theory, this paper takes Aoqian Village in the Pingtan Comprehensive Experimental Zone as a case study site to explore the pathways and impact mechanisms of multidimensional spatial restructuring in tourism-oriented rural areas. The research finds that: (1) In the process of rural spatial reconstruction in Aoqian Village, the village committee, villagers, government departments, social groups, and land function as the main actors in the construction of the actor network; (2) Driven by tourism, multiple actors achieve benefit sharing, leading to a reshaping of Aoqian Village's economic functions, spatial functions, and social networks; (3) The driving forces behind the spatial restructuring of Aoqian Village en-compass both endogenous and exogenous drivers, which are coupled through bidirectional translation, thereby promoting the orderly restructuring of the rural space.

Based on the context of Chinese modernization, tourists' low-carbon choice behavior was studied from the observational dimension of Confucian ecological values. Environmental attitude was used as the mediating variable, and low-carbon cognitive level was used as the moderating vari-able. A double-hurdle model was used to verify the relationships among the variables. The study found that Confucian ecological values were generally significantly correlated with tourists' willingness to pay for low-carbon behavior, but some values were not statistically significant at the level of participation willingness. Moreover, environmental attitude served as an important mediating role, and low-carbon cognition level exhibited a moderating effect. Based on the above results, the study provides pathways and managerial insights for promoting low-carbon behavior among tourists.

To explore the longitudinal relationship among physical activity, peer acceptance, and pro-social behavior in rural left-behind children, a physical activity questionnaire, peer acceptance scale, and pro-social behavioral tendency scale were used to conduct three follow-up surveys (T1, T2, and T3) over a period of six months with 612 rural left-behind children in Ji＇an City, Jiangxi Province. The results showed that (1) there were significant concurrent and longitudinal correlations among physical activity, peer acceptance, and pro-social behavior; (2) cross-lagged analyses indicated that physical activity and pro-social behavior positively predicted each other; (3) longitudinal mediation analyses found that T1 physical activity positively predicted T3 pro-social behavior via T2 peer acceptance, and T1 pro-social behavior predicted T3 physical activity through T2 peer acceptance; (4) peer acceptance played a longitudinal mediating role between physical activity and pro-social behavior. These findings suggest that physical activity and peer acceptance facilitate the development of pro-social behaviors in rural left-behind children and can serve as effective interventions to promote their psychological health and social adaptation.

In order to explore the reproduction mechanism of sports industry policies of Chinese provincial governments, this paper uses a word embedding model to map words in policy texts into a high-dimensional vector space, capturing semantic similarities and contextual relationships between words. This approach enables the efficient extraction of key information and hidden patterns from policy texts. After a preliminary analysis of the semantic structure of the policy texts, the study further applies the fuzzy-set qualitative comparative analysis (FsQCA) method to examine combinations of antecedents, such as policy adoption speed, local economic level, population size, market governance capacity, and horizontal pressure, revealing the comprehensive impact of different combinations of factors on the policy reproduction mechanism. The results indicate a nonlinear correlation between policy adoption speed and the degree of policy content reproduction, exhibiting an inverted U-shaped curve, with an inflection point at approximately 2.3 years. FsQCA conditional configuration analysis shows that high policy reproduction results from multiple factors, and no single factor can be a necessary or sufficient condition on its own. This study offers practical insights from the perspective of provincial governments＇policy reproduction in the sports industry.

Based on panel data from A-share listed companies in China's sports goods manufacturing industry between 2014 and 2023, this study empirically examines the impact of digital innovation capability on corporate performance and its underlying mechanisms by constructing a random effects model to test the hypotheses. The findings reveal that: (1) Digital innovation capability exerts a significantly positive effect on the performance of sports goods manufacturing enterprises; however, this effect exhibits scale heterogeneity. Large enterprises benefit more prominently due to their mature R&D systems and resource advantages, while small and medium-sized enterprises (SMEs), constrained by limited resources, struggle to effectively convert digital innovation achievements into performance improvements; (2) An advanced human capital structure positively moderates the relationship between digital innovation capability and corporate performance. Highly qualified talent significantly enhances this effect by improving the efficiency of technological application and demonstrating agility in responding to market demands. Based on these findings, the study proposes that governments implement differentiated policies to consolidate the leading position of large enterprises, while supporting the digital transformation of SMEs; enterprises should refine talent cultivation and incentive mechanisms for highly educated personnel, and establish dynamic risk early-warning systems to cope with uncertainties.

This study investigated the effects of a comprehensive weight management program integrating exercise and dietary interventions on body composition in college students with simple obesity. Thirty-eight college students with simple obesity (body mass index BMI≥25 kg·m-2) participated in the Weight Management Pilot Program at Fujian Vocational College of Bioengineering. A single-group pretest-posttest experimental design was adopted for a four-week intervention period. Body composition indicators, including body weight, BMI, body fat percentage, and visceral fat level, were measured before and after the intervention using an InBody analyzer. Paired ttests were employed for statistical analysis. After the intervention, significant decreases were observed in body weight, BMI, body fat percentage, and visceral fat level (P<0.05), while skeletal muscle mass and basal metabolic rate remained stable (P>0.05). These results suggest that a short-term (4-week) combined exercise and dietary intervention can effectively improve body composition in obese college students without causing muscle loss or significant metabolic decline, supporting the feasibility of this approach in terms of both safety and efficacy. Future research should extend the intervention duration to assess long-term effects.