With the continuous advancement of internet technology, live commerce has emerged as one of the mainstream ways of online shopping. The anchor's proficiency in promoting products significantly influences the revenue generated from live streams. In light of this, the study adopts empirical research methods, using Para-social Interaction (PSI) as the theoretical foundation. It investigates the impact of anchor worship on consumer purchase intentions and its underlying mechanisms, with perceived trust and identification serving as mediators. Analysis of 478 valid questionnaire responses was conducted using SPSS software, and structural equation modeling was performed with AMOS software to test the relationships. The findings reveal that anchor worship, perceived trust, and identification significantly affect purchase intentions. Both perceived trust and identification mediate the relationship between anchor worship and consumer purchase intentions. Furthermore, by integrating worship theory into the analysis of consumer purchase intentions, this research broadens the scope of consumer behavior studies.

The rising demand for new energy vehicles (NEVs) and the intensifying industry competition have spurred the continuous development of the new energy vehicle parts (NEVPs) industry, and have also raised new demands for enterprise supply chain risk management. This study employs a combination of internal interviews and empirical research to conduct a comprehensive assessment, measurement, and impact analysis of the supply chain risks faced by NEVPs enterprises in China, thereby revealing the key factors influencing the supply chain risks of NEVPs enterprises. The research findings indicate that risk factors closely associated with external order risks, such as natural disasters in export countries, political risks, macroeconomic conditions, and exchange rate policies, are all significant elements in the risk management of the NEVPs supply chain. Moreover, industry cycle risks, such as policy adjustments targeting the NEVs industry, also exert a considerable influence on the supply chain risks of NEVPs. The study underscores the importance of sustainable management of the NEVPs supply chain and provides a robust theoretical basis for the research system of supply chain risk management in the NEVs industry.

Achieving high-quality development in enterprises requires not only the support of the external environment but also the leadership and impetus from internal managers. This paper selects a sample of A-share listed companies in Shanghai and Shenzhen from 2012 to 2022 to empirically test the impact of managerial ability and organizational resilience on the high-quality development of enterprises and the internal mechanisms. The findings are as follows:Managerial ability significantly positively influences the high-quality development of enterprises. Organizational resilience serves as a mediating role between managerial ability and high-quality development of enterprises, whereby managers leverage their comprehensive abilities to enhance organizational resilience, thus promoting high-quality development. Environmental uncertainty weakens the positive relationship between managerial ability and organizational resilience, while digital transformation of enterprises strengthens the positive impact of managerial ability on high-quality development. This study enriches the research on the mechanisms of managerial ability, organizational resilience, and high-quality development of enterprises, providing strong theoretical support and practical guidance. It helps enterprises to seize development opportunities in the new era and also provides a scientific basis and reference for government policy-making.

To enhance the accuracy of transformer fault diagnosis based on machine learning, a transformer fault diagnosis method using NRBO-XGBoost based on Dissolved Gas Analysis (DGA) is proposed. The Extreme Gradient Boosting (XGBoost) model is selected. The Newton-Raphson-based optimizer (NRBO) is combined with XGBoost to iteratively search for the optimal model parameters. In each iteration, the performance of the current solution is evaluated, and the XGBoost model is retrained using the optimal parameters obtained. A significant improvement in model performance is observed by comparing the results before and after optimization. The performance of the NRBO-XGBoost method is evaluated through a case study, demonstrating the effectiveness of the proposed method for transformer fault diagnosis, with good convergence and high accuracy.

To address the need for cultivating specialized talents in materials chemistry with an agricultural focus at agricultural universities, this paper presents the design of a virtual simulation experiment titled "Preparation, Processing, and Performance Testing of Fully Degradable Cellulose Film". The experiment consists of three modules: the preparation and processing of fully degradable cellulose film, degradation performance testing, and the testing of physical and chemical properties. By utilizing virtual simulation technology, the experimental processes and phenomena are effectively simulated and demonstrated. Students can engage in interactive operations repeatedly, allowing them to master key experimental techniques such as cellulose extraction, modification, film casting, and the evaluation of mechanical and physicochemical properties. Additionally, they can gain insights into formula design principles and the mechanisms of cellulose degradation, thereby achieving educational outcomes that closely resemble actual laboratory experiences. This teaching approach combines virtual and real elements, fostering a highly exploratory learning environment. It not only overcomes the challenges associated with conducting practical experiments but also enhances students' innovative capabilities, ultimately contributing to the development of new talents.

In recent years, urban ozone pollution has become increasingly prominent, making the prediction of ozone concentrations crucial for early prevention and control measures. In Hefei, the number of days with ozone as the primary pollutant is increasing, and ozone has now surpassed PM_2.5 as the leading contributor to air quality degradation. In response, this study focuses on Hefei and uses the daily average ozone concentrations from January 2022 to June 2023 to create a time series. A Seasonal Autoregressive Integrated Moving Average (SARIMA) model is then developed to forecast the ozone levels for the summer of 2023 and the model's performance is evaluated. The results indicate that the model's fitted curves basically align with the actual measurements, with the relative errors of the three-day short-term forecasts remaining within 20%. The model's root-mean-square-error (RMSE) is 21.18 μg·m^-3, and the goodness-of-fit R² reaches 0.904 3, demonstrating robust fitting and predictive capabilities. These ozone forecasts provide a scientific basis for environmental protection efforts, support decision-making in urban planning, and positively impact public health.

As a typical ethnic minority village in the scattered ethnic minority areas of Province A, H Village in Z Town, W County has actively explored grassroots practices to foster a strong sense of community for the Chinese nation. These practices include strengthening the construction of grassroots Party organizations to build cohesion, and maintaining rural harmony and stability through the collaborative development strategy of co-construction, co-governance, and shared benefits. These efforts have yielded significant results. However, H Village also faces several challenges, such as the risk to sustainable development due to excessive dependence on external resources, the need to deepen the narrative of red culture, and the limited effectiveness of grassroots democratic participation mechanisms. To address these challenges, H Village needs to establish an endogenous industrial development model, enhance the depth of red culture narratives, and build inclusive grassroots governance participation mechanisms, thereby further fostering a strong sense of community for the Chinese nation.

The Third Plenary Session of the 20th Central Committee of the Communist Party of China has provided fundamental guidelines for improving the overall pattern of united front work at a new starting point. As special groups assisting the Party in conducting mass work, university mass organizations have significant value and functions in the overall pattern of united front work in higher education institutions. The mass organizations and the overall pattern of united front work in the field of higher education have unique connotations, and there is a close intrinsic relationship between the two. To build an overall pattern of united front work in universities, it is necessary to clarify the basic ideas from perspectives including recognizing the new situation of united front work in universities in the new era, comprehensively strengthening the Party's leadership over united front work, and focusing on cultivating united front talents in mass organizations. Mass organizations, such as trade unions and the Communist Youth League, play important roles in enhancing the cohesion of faculty and staff, uniting young students, and spreading the Party's united front concepts within the overall pattern of united front work in universities in the new era. Additionally, they perform significant functions, such as strengthening ideological and political guidance, safeguarding the rights and interests of teachers and students, and building communication platforms. These contributions provide strong support for universities in fulfilling the fundamental task of fostering virtue through education.

Current research on the biological functions of Arabidopsis AtESD4 primarily relies on esd4 mutants and in vivo experiments, while its recombinant protein expression and purification system remains unexplored. This study established a prokaryotic expression and purification system for AtESD4, identifying the optimal expression vector and induction time. The open reading frame(ORF)of AtESD4 was amplified from an Arabidopsis cDNA library by PCR and cloned into prokaryotic expression vectors(pRSF-duet, pMAL-C2X, and pGEX-4T-1)using a one-step cloning method. Recombinant proteins were expressed in Escherichia coli, purified by affinity chromatography, and analyzed via SDS-PAGE to evaluate the effects of different vectors and induction times (8 h, 16 h, and 24 h)on expression efficiency and purity. Results demonstrated that AtESD4 recombinant proteins predominantly formed inclusion bodies, with significantly higher abundance in bacterial precipitates than in supernatants. Among the three vectors, pMAL-C2X yielded AtESD4 fusion proteins with optimal quality and purity under 24 h induction, whereas pRSF-duet and pGEX-4T-1 showed inferior performance.

Based on equity theory and social exchange theory, this study employs empirical research methods to investigate the impact mechanisms of collaboration incentives in intelligent manufacturing enterprise alliances on operational performance, and further discusses the moderating effects of organizational justice in these relationships. The results indicate that both benefit distribution incentives and information sharing incentives significantly positively affect operational performance. Procedural justice significantly enhances the positive impact of information sharing incentives on operational performance, yet it inhibits the facilitative effect of benefit distribution incentives on operational performance. Moreover, the facilitative effect of benefit distribution incentives on operational performance is positively moderated by interactional justice, while distributive justice shows no moderating effect on the relationship between collaboration incentives and operational performance. This paper enriches the research on the governance mechanisms of intelligent manufacturing enterprise alliances and proposes a collaboration incentive model from the perspective of organizational justice, which could help enhance the overall operational performance of the alliances.

Replacing the low-pressure sodium lamp with a laser significantly enhances the traditional single-slit diffraction experiment, which traditionally suffered from limitations such as the need for individual observations through a microscope eyepiece, a limited number of diffraction fringes, unclear effects of parameter adjustments on the diffraction patterns, challenging operation, and stringent environmental requirements. This improvement makes the experimental demonstrations more efficient, straightforward, and visually clear. A Matlab program has been developed to simulate the single-slit diffraction experiment, allowing students to adjust parameters and directly observe the diffraction phenomena themselves. Additionally, students can engage in hands-on exploration of singleslit diffraction using simply a laser pointer and white paper after class. By integrating simulation with hands-on experimental operations, controlled experiments are conducted on variables such as slit width, wavelength, and screen distance. The results from both experiments and simulations align well with theoretical predictions, which could enhance students' understanding of diffraction concepts.

This paper proposes a hyperspectral unmixing algorithm based on the weighted residual synergetic graph constraint NMF(WRGNMF), building upon the foundation of sparse graph constraint NMF. In the standard NMF algorithm, a residual weighting mechanism is introduced. This strategy processes the values in the residual according to the weighting factor, providing appropriate weights for the reconstruction errors between each original pixel and the reconstructed pixel during the unmixing process, thereby enhancing data fitting accuracy and improving noise resistance. Simultaneously, to fully utilize the spatial information of spectral images, the l₁ norm is employed to enhance the sparsity of the abundance matrix, and graph regularization is used to maintain the affinity of the data structure. Both simulated and real experiments demonstrate the effectiveness of the proposed algorithm, which not only improves unmixing accuracy but also exhibits greater robustness to noise.

To fully exploit the significant role of public physical education in the process of "fostering virtue through education" in universities, this study provides a theoretical interpretation of the knowledge-action perspectives on public physical education held by university presidents in the new era and examines the existing issues. Based on this, corresponding strategies are proposed. These include: emphasizing both recruitment and cultivation through multiple measures to strengthen the construction of the public physical education faculty team; implementing scientific evaluations and precise designs to improve the accuracy of workload statistics for public physical education teachers; exploring diversified funding channels to optimize the public physical education facilities; standardizing testing and providing timely feedback to enhance the implementation of universities students' physical health assessments, among others. The research results provide a useful reference for colleges and universities to finally realize the fundamental task of "foster virtue through education".

The participation of property service enterprises in community home-based elderly care is an important measure for China to actively respond to the aging population. Considering the synergistic effect of property service enterprises and elderly care institutions, and introducing the value of negative feedback from elderly users, this paper constructs a tripartite evolutionary game model of property service enterprises, elderly care institutions, and the community to analyze the evolutionary stability of the strategic choices of different actors. The results show that: the value of negative feedback from elderly users can effectively inhibit the generation of collusive behaviors, promote the active collaborative service of property service enterprises and elderly care institutions, and reduce community supervision costs; increasing government subsidies and penalties will increase the willingness of property service enterprises and elderly care institutions to participate and reduce their willingness to collude; increasing the revenue of elderly care services and reducing costs are also important ways to improve collaborative elderly care services. These results will provide reference for alleviating the government爷s financial pressure from elderly care, adding value and empowering property service enterprises and elderly care institutions, and improving the quality of elderly care services.