Dvořák's Cello Concerto is one of the most famous cello concertos, known for its beautiful and majestic melodies. Performing this concerto requires a high level of technical proficiency from the player. Personally, I am very fond of this piece, and in this article, I aim to analyze several critical and challenging techniques in the concerto. My goal is to help others better understand the logic of performance and improve their technical skills. Great music performance is built on a foundation of solid technique. Only by thoroughly studying and mastering technical issues can we better develop our personal style and interpret the emotions the composer intended to convey. I hope this article will be helpful to those practicing Dvořák's Cello Concerto.

Objective: To explore the medication and compounding rules of Sun Simiao's Qianjin Fang for infertility in Tang Dynasty by using data mining technology and relying on the Chinese Medicine Inheritance Auxiliary Platform System (V2.5). METHODS: The Chinese herbal prescriptions in Qianjinfang for infertility were collected, and their drug composition was sorted out and screened, and the prescription database was constructed by the Traditional Chinese Medicine Inheritance Auxiliary Platform System (V2.5). Frequency analysis, correlation rule and cluster analysis were used for the statistical analysis of the data. Results: A total of 19 prescriptions and compound prescriptions were included, involving 90 kinds of Chinese medicines; the total frequency of the medicines was 288 times, of which the top 5 high-frequency Chinese medicines were XiXin, Renseng, Gan Jiang, Angelica sinensis and Rehmannia glutinous Discordance; the four qi of the medicines were mainly warm and calm; the five flavour of the medicines were mainly sweet, followed by the two flavour of pungency and bitterness; and the meridians of the medicines were mainly the renal meridian, followed by the hepatic, cardiac and splenetic meridians. Through the analysis of association rules, 57 drug combinations were obtained; 7 groups of core drug combinations and 5 new formulas could be obtained through cluster analysis. Conclusion: The formulas were mainly characteristic by breaking down the channels, tonify the kidney and warming the yang, clearing dampness and heat in the lower energizer, nourishing the yin, drying dampness and killing dampness, or supplementing to greatly tonify the vital energy, ease the liver and relieve depression, tranquility the mind, and clearing the collateral and dispersing the knots.

As space exploration advances, space governance has emerged as a crucial means to regulate space activities and stabilize space development. However, issues such as space security, monopolization of governance leadership, environmental concerns, and space resource development are disrupting the orderly progression of space governance. China, as a rising space power, adheres to the principle of peaceful space utilization. This paper discusses how China addresses the current challenges in space governance through space governance proposals, promotion of space cooperation, and enhancement of space governance technologies.

The unprecedented success of the first domestically produced AAA game Black Myth: Wukong has sparked a wave of Chinese cultural export, providing insight into the current situation and pathways for the inheritance of Chinese traditional culture. From the perspective of cultural security, this paper analyzes how the inheritance of traditional Chinese culture faces opportunities arising from national economic development, heightened awareness of cultural security, improvements in national security systems, and globalization-driven cultural exchange. At the same time, it contends with challenges such as the concerning cultural environment, the plundering and loss of valuable cultural resources, and the immaturity of China's cultural discourse system. The success of Black Myth: Wukong also offers insights into the effective inheritance of Chinese traditional culture by emphasizing the need to harness the strengths of traditional culture, seize development opportunities, and enhance cultural security governance.

Driven by the robust wave of informatization, emerging industries based on information technology continue to deepen their development, reshaping human society and leading a historic leap from traditional industrial society to information society, and further towards an intelligent society. In this transformative process, information technology serves as a key driving force, profoundly impacting the education sector, particularly accelerating the pace of educational reform and promoting continuous innovation and upgrading of educational models. This paper focuses on higher education, deeply analyzing the construction pathways and practical values of intelligent classroom teaching models. Specifically, we explore strategies for deeply integrating Internet technology with traditional classroom teaching, aiming to create a highly intelligent, personalized, and interactive teaching environment in higher education—intelligent classrooms.

In the early stages of economic development, population agglomeration significantly promotes economic growth. However, with the disappearance of the demographic dividend, negative externalities begin to strengthen. Currently, the economic development in Anhui Province faces challenges, necessitating a shift in focus from pursuing speed to pursuing quality, particularly concerning sustainable development. This paper analyzes the role of population agglomeration in high-quality economic development from the perspective of the five development concepts, constructing a mechanism to understand this relationship. Targeted recommendations for formulating appropriate population control policies and deepening the upgrading of industrial structures are proposed to promote high-quality economic development.

In the context of rapidly evolving big data and cloud computing technologies, the field of corporate financial management is undergoing a profound transformation. Financial management informationization, as a core engine driving improvements in corporate efficiency and cost optimization, has become a new frontier in industry competition. This trend not only accelerates the intelligent and real-time nature of corporate decision-making processes but also profoundly alters traditional models of capital operations, cost control, and risk management. However, while the wave of big data offers unprecedented data treasures and powerful analytical tools for corporate financial management, it also brings a series of pressing challenges that need to be addressed. This paper aims to thoroughly analyze the main obstacles faced by financial management informationization in the era of big data and to propose a series of practical solutions.

Promoting high-quality development and innovation-driven growth in the manufacturing industry is crucial for enhancing the efficiency of traditional manufacturing and achieving economic transformation. This paper discusses the current development status and innovation strategies of private traditional manufacturing in three parts, establishing a game model to reveal the game status between exploratory innovation and exploitative innovation in manufacturing enterprises. Finally, it offers suggestions for the smooth and efficient realization of high-quality development in the private manufacturing sector.

Since the wide implementation of the leniency system for guilty pleas, it has become common for defendants who have pleaded guilty to appeal on grounds such as "excessive sentencing" in an attempt to serve sentences locally or seek further mitigation. The blank appeals reflect a significant value conflict between fairness and efficiency, which is particularly pronounced in cases involving leniency due to guilty pleas. Judicial practice shows differing attitudes between prosecutorial and judicial authorities, and even within these systems, regarding the handling of blank appeals by defendants who have entered guilty pleas. This study will examine a sample of second-instance criminal cases involving appeals by such defendants nationwide, aiming to reveal the current state of judicial practice and provide data to support strategies for addressing blank appeals in guilty plea cases.

Lithium cobalt oxide (LiCoO2 ) cathode material, with its high energy density and operating voltage, is currently a mainstream material for lithium-ion battery cathodes.   However,  the  crystal  structure  collapse  and  lattice  oxygen  evolution under high-voltage conditions lead to rapid capacity decay, severely limiting its practical applications.   This paper  analyzes the main factors affecting the cycle performance and rate performance of lithium cobalt oxide, considering the physic- ochemical properties of the particles, including elemental content and particle size, and provides a mathematical model linking these properties to electrochemical per- formance.  The study offers insights for the practical production of high-voltage lithium cobalt oxide materials.

At the beginning, we embarked on investigating the correlation between the physicochemical attributes (encompassing elemental composition and particle size) of lithium cobalt oxide and its cycle performance. An Ordinary Least Squares (OLS) linear regression model was formulated, yielding a robust fit with an R-Squared value of 0.94. This model was subsequently optimized through the application of an XGBoost algorithm, achieving an R-Squared value nearing unity, signifying a remarkable enhancement in model accuracy. Visual analysis of the results pinpointed the primary determinants of cycle performance, arranged in descending order of significance: 'Cycle Index,' Mg content, particle size distribution (D10), Zn, and Al.

Then, our attention shifted to examining the link between the aforementioned physicochemical characteristics and the rate performance of lithium cobalt oxide. The Jarque-Bera and Shapiro-Wilk tests confirmed the normality of the data, fulfilling the prerequisites for hypothesis testing. An OLS linear regression model was developed, demonstrating a strong goodness-of-fit with an R-Squared value exceeding 0.8. This model was further honed with an XGBoost model, which achieved an R-Squared score approaching 1, indicating a substantial refinement in model precision. The visualization of model outcomes illuminated the key factors influencing rate performance, ranked in descending order of importance: particle size distribution (D50), Al, Mn, Zn, Mg, Ni, and Fe.

Lastly, we devised an optimal strategy that encompasses the incorporation of strategic doping elements, the utilization of high-temperature sol-gel methods to bolster cycle performance, and coating modifications aimed at enhancing rate performance. This holistic approach fosters the structural stability of lithium cobalt oxide crystals, fortifying their high-potential cycle capabilities, and concurrently elevating their rate performance.

The purpose of this article is to study the level of synergistic development of air cargo in the Yangtze River Delta airport cluster and to analyze the factors affecting its development. The article first reviews the rapid growth of the air cargo industry and its role in driving global trade, and then analyzes the current situation of the Yangtze River Delta airport cluster in terms of air cargo, including its uneven development and homogeneous competition. By constructing an indicator system that includes the scale of airport cargo operations, infrastructure development, cargo connectivity, and the level of urban economic development, and applying the entropy weighting method to determine the weights of the indicators, the article evaluates the level of synergistic development of the Yangtze River Delta airport cluster. The results of the study show that although the synergy of the Yangtze River Delta airport cluster has increased in 2023, its overall synergy is still in the low synergy stage. The article further explores the impact of factors such as market concentration, airport strategic positioning and route network overlap on the level of synergy development. Finally, the article puts forward suggestions to improve the level of air cargo synergy development in the Yangtze River Delta airport cluster

This study explores the current status and influencing factors of the integration between classical photography and contemporary art, aiming to analyze key variables that affect audience perception of art integration. A total of 100 valid survey responses were collected, and Ordinary Least Squares (OLS) regression analysis was employed to examine the impact of independent variables such as art exhibition participation frequency, technical familiarity, social media usage frequency, and cultural openness on the perception of art integration. The results indicate that all hypotheses were validated: art exhibition participation frequency, technical familiarity, social media usage frequency, and cultural openness significantly influence respondents' perception of the integration between classical photography and contemporary art. Among these factors, cultural openness had the most significant impact, suggesting that exposure to diverse art forms helps enhance the understanding of art integration. The significance of technical familiarity and social media usage further demonstrates the importance of technology and social media in art dissemination. Based on these findings, the study provides recommendations for artists, curators, and educators, including promoting interdisciplinary art creation, organizing interactive exhibitions, and strengthening multicultural education. Future research could further explore these influencing factors across different cultural contexts.

Demand for air transportation determines the connectivity of routes between airports and influences the development of airline route networks. The demand for air transportation is affected by many factors, and socio-economic factors are one of the most important ones. In this paper, we use input-output analysis to explore the correlation between the air transportation industry and the three industries at the national level and Xinjiang level, and find that the tertiary industry has the highest direct demand for air transportation. Thus, we construct an indicator system for considering the demand for air transportation, and through the grey correlation analysis method, we find that the integration of Xinjiang's air transportation industry with the tertiary industry is in the friction stage, and at the same time, we select the contribution rate of the tertiary industry, the number of tourists, the total retail sales of consumer goods, and the passenger traffic volume of roads and railroads as the important drivers of the connectivity of Xinjiang's regional airports to the aviation network, and then we use these four drivers as the drivers for priority connectivity of the air routes of Xinjiang regional airports. The simulation network is constructed by prioritizing the connectivity of the network, and compared with the real network, it is found that the number of tourists, the passenger traffic volume of road and railroad, and the total retail sales of social consumer goods are more important drivers for the connectivity of the aviation network.

This study explores the potential of AI-enabled project-based learning (PBL) in enhancing bilingual international communication in Sichuan. By utilizing AI tools, the proposed educational model provides students with real-time, personalized feedback, helping them improve their language fluency, pronunciation, and cultural adaptability in both Chinese and English. The study presents a PBL framework where students are tasked with creating a bilingual virtual tour for an international audience, focusing on the development of 21st-century skills such as collaboration, problem-solving, and critical thinking. The research highlights the scalability of AI-enabled PBL across different linguistic and cultural contexts, making it applicable not only in educational settings but also in professional fields such as diplomacy and international business. The findings emphasize the transformative potential of AI in language education, fostering both language proficiency and global communication skills, and call for future studies to implement and evaluate this model in real-world settings.

This paper analyzes the connotations and functions of dormitory culture in universities under the background of the new era, recognizing the importance and urgency of innovating dormitory culture construction in higher education. Based on this understanding, the paper explores innovative approaches to constructing dormitory culture in the new era from four aspects: improving dormitory management service systems, setting examples through student leaders and Party members, establishing dormitory culture exchange platforms, and creating outstanding dormitory culture projects. These approaches are discussed in light of the basic requirements for strengthening cultural soft power, promoting information technology development, and emphasizing the educational value of culture.

This article explores the current challenges and strategies related to EU immigration policy, incorporating various statistical and econometric methods. It begins with a review of the development of EU immigration policies, highlighting how globalization and the EU's economic stature have attracted significant immigration, leading to challenges in socio-economic, cultural diversity, and social stability areas. The article then analyzes the current state of immigration issues within the EU, particularly focusing on social integration and cultural conflict. Through case studies of Germany, Italy, and Sweden, the effectiveness of different immigration policies is examined. The research utilizes descriptive statistics, ANOVA (Analysis of Variance), and crosstab analyses to provide a comprehensive understanding of public opinion on immigration issues. The findings reveal that despite various strategies in border control, diplomatic cooperation, and social integration, the EU still faces significant challenges, with public satisfaction with current policies being relatively low. The article suggests that future immigration policies should place greater emphasis on social integration and sustainable development, promoting cross-cultural education, diversity management, and cultural exchange to address the complex issues brought by immigration. This analysis offers valuable insights for policymakers to develop immigration policies that better align with public expectations.

Existing deep learning-based image fire detection algorithms require training the model with a large number of diverse image datasets and accurate annotations to achieve high accuracy and strong anti-interference capabilities. However, in the field of fire detection, there is a lack of sufficiently rich datasets of real fire scenes to train the detection models, leading to unreliable detection results. In this paper, we propose a new flame image generation method that aims to enhance the efficiency and adaptability of fire detection systems, particularly when the number of samples is unbalanced. By constructing extensive datasets containing different environments (e.g., factories, warehouses, and forests), we address the practical challenges of safety control and fire initiation.

Our approach is based on two main networks: the flame generation network and the hybrid network. The flame generation network utilizes the SCGAN technique to generate diverse flame images by controlling the shape of  flames based on the input reference information. The hybrid network synthesizes fire images from different scenes into an improved DDPM to create realistic images by fine-tuning textures and styles. Our approach has three main advantages: the ability to control the generated flame images, the preservation of high-quality background details, and training on real datasets, making the generated images suitable for engineering application scenarios.

Allport proposed the Intergroup Contact Hypothesis, which posits that intergroup contact facilitates greater understanding of outgroups and, on this basis, reduces ethnic prejudices, playing a positive role in mitigating interethnic conflicts and tensions. Based on extensive empirical research, Allport outlined four optimal conditions for intergroup contact that promote positive outcomes among ethnic groups. For China, a multi-ethnic developing country, communication, exchange and integration among ethnic groups represent crucial avenues for enhancing mutual understanding and fostering interethnic friendships. Active interethnic contact and exchange strengthen ethnic unity and reinforce the centripetal force of the Chinese nation. This paper analyzes the Communication, Exchange and Integration among ethnic groups at the Naadam Fair in Inner Mongolia through the lens of the four optimal conditions for intergroup contact proposed by the theory of interethnic contact: equal status, shared goals, intergroup cooperation, and institutional support. The aim is to provide theoretical insights for the interethnic development of China's diverse ethnic groups and the construction of harmonious ethnic relations

As marine resources become increasingly scarce, marine aquaculture, an integral part of the marine economy, necessitates scientific management and rational utilization. Image segmentation technology for marine aquaculture, a critical tool for monitoring and managing aquaculture areas, has garnered widespread attention in research and application. This paper reviews the research progress in marine aquaculture image segmentation techniques, analyzes the advantages and limitations of various methods, and explores future development directions.

Knee osteoarthritis (KOA) is a chronic degenerative disease commonly found in middle-aged and elderly people, characterized mainly by degenerative changes in knee joint cartilage and secondary bone hyperplasia. The exact mechanism of knee osteoarthritis is not yet clear, and Western medicine primarily focuses on symptomatic treatment, which cannot effectively curb the progression of the disease. With the continuous research and innovation in traditional Chinese medicine (TCM), TCM has shown advantages such as minimal side effects, significant and stable therapeutic effects, and relatively low costs. Thus, TCM methods for treating knee osteoarthritis have been widely applied in clinical practice. This article reviews the relevant mechanisms and pathways of knee osteoarthritis by searching literature from databases such as China National Knowledge Infrastructure (CNKI), PubMed, and Wanfang from 2003 to 2024, and provides an overview of the treatment of knee osteoarthritis from the perspectives of TCM monotherapy and compound TCM formulations.