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Evaluation for SDEs will be Added or Removed in the 2032 Brisbane Olympics
Get PDFThe International Olympic Committee (IOC) is planning the 2032 Summer Olympics in Brisbane, Australia, and needs to evaluate which sports, disciplines, and events (SDEs) should be included or removed. Our team developed a set of comprehensive mathematical models to help the IOC making correct decisions that align with the Olympic criteria and rules.In problem 1, we analyzed and listed out 17 factors that can be use to quantify the IOC’s 6 criteria. The criteria are Popularity and Accessibility, Gender Equality, Sustainability, Inclusivity, Relevance and Innovation, and Safety and Fair Play. We listed out 2 to 3 factors for each criterion. Some factors are quantitative and can be measured numerically, while the others are qualitive factors and can only be represented in scale.In problem 2, we used the AHP-Entropy method to build our evaluation model. Specifically, we divided the model into three layers from criteria layer to solution layer. We give each factor and criterion their own weight. The higher the weight is, the more it can influence its upper layer. Combining the datasets and their weights together, a weight score is yielded. The sum of all the weight scores of one SDE is the evaluation score, which is the final result of our model. A high evaluation score means that the SDE aligns with the IOC’s criteria. We also setup a systematic approach to validate the datasets applied: through numerous calculations, a Consistency Ratio (CR) can be determined. If CR<0.1, then the datasets is valid and can be put into the model for evaluation.In problem 3, we collected data from three recently removed or added SDEs and three traditional SDEs to test our model. We applied the data into the model constructed in the previous part and yielded these SDEs their own evaluation score. By comparing these scores, we found that the traditional SDEs have a higher average score than that of the two newly added SDEs. The recently removed SDE, on the other hand, scores the lowest. The results prove that our model can produce evaluation aligned with the IOC’s past decisions, thereby validating the model. In problem 4, we predicted the evaluation scores of different SDEs in 2032 with Grey Prediction Model. We achieve this by creating accumulating sequences and solve differential equations. The predicted values of evaluation scores for SDEs are analyzed, and our recommendation is that Esports, Cricket, and Squash should be newly added to the Brisbane Olympics based on the analysis. Among these three, Esports and Cricket should also be added to the 2036 or afterwards Olympics, as they preform well in the mostly weighted factors such asIn problem 5, we performed a sensitivity analysis of our evaluation model and analyzed the strengths and weaknesses of the model. Different types of sensitive analyses are applied to our model to test it stability and margin of error for evaluation. In the end, our model has survived all the tests, illustrating that it is capable of giving out precise and practical evaluation. Finally, we concluded our evaluation results and recommendations made based on them. We wrote them in a report and presented it to the IOC in form of a letter as our final solution to the problem
Constructing Campus Sports Culture Ecosystem: An Educational Ecology Perspective
Get PDFUnder the perspective of educational ecology, this study systematically investigates the construction of a campus sports culture ecosystem, addressing its core values, existing challenges, and optimization strategies. As a critical component of school education ecosystems, campus sports culture plays a pivotal role in fostering students' physical and mental well-being, enriching campus cultural diversity, optimizing educational structures, and advancing societal sustainability. Through literature analysis and logical reasoning, the research identifies four key challenges: uneven resource distribution, insufficient cultural identity, technological integration gaps, and inadequate evaluation mechanisms. To address these issues, four optimization pathways are proposed: 1) Establishing a diversified resource supply and sharing mechanism; 2) Cultivating a multi-tiered sports culture identity system; 3) Accelerating digital and intelligent sports culture development; 4) Implementing scientific and sustainable evaluation frameworks. By integrating resources, fostering cultural synergy, leveraging technological innovations, and refining evaluation systems, this study provides a systematic solution for the sustainable development of campus sports culture ecosystems. The findings offer theoretical and practical insights for constructing ecologically balanced sports education models, aligning with global trends in holistic education and health promotion
Bridging Fiscal Policy and Innovation: The Institutional Logic of the “First-Invest-Then-Equity” Model in Xianyang’s Technology Transfer Reform
Get PDFThe transformation of scientific and technological achievements is a crucial link in closing the innovation value chain and promoting high-quality regional development. In recent years, under China’s national innovation-driven development strategy and the overall layout of the Qinchuangyuan Innovation Promotion Platform in Shaanxi Province, Xianyang City has taken the lead in reforming the fiscal investment and financing mechanisms for science and technology funds, establishing a “First-Invest-Then-Equity (FITE)” policy framework. This paper takes Xianyang’s FITE policy as its research object and adopts policy text analysis and comparative research methods to systematically examine the policy’s institutional background, operational mechanism, and implementation performance. Moreover, it conducts a comparative analysis with representative cities such as Suzhou, Hefei, Changsha, and Chengdu.The findings reveal that: (1) the FITE mechanism effectively facilitates the market-oriented operation of fiscal funds and improves the efficiency of technology commercialization; (2) the Xianyang model demonstrates institutional innovation in fiscal guidance, risk sharing, and revenue recycling, yet faces persistent challenges in mobilizing private capital, establishing efficient equity exit mechanisms, and integrating technology finance. Based on these diagnosed problems, this study proposes several optimization pathways, including improving the coordination between fiscal and private capital, establishing a scientific pre-investment evaluation system, strengthening post-investment performance management, diversifying equity exit channels, building an integrated technology–finance ecosystem, and enhancing legal frameworks and interdepartmental coordination.The research concludes that Xianyang’s FITE mechanism not only provides a replicable model for western Chinese cities in leveraging fiscal funds to promote technology commercialization but also offers valuable local experience for deepening China’s science and technology system reform and improving the overall innovation governance framework
About Integral Equation for the Symmetrical Loop Antenna
Get PDFThe derivation and solution’s problems of integra-differential equations for the currents in symmetrical loop antennas of rectangular, circular and other short-circuited forms with large length are considered. The results are compared with the properties of small antennas
The Application of AI in Smart Bridges
Get PDFWith the in-depth implementation of the "Transportation Power" strategy and the explosive development of artificial intelligence (AI) technology, smart bridges, as the core carrier for the intelligent upgrading of transportation infrastructure, are undergoing a paradigm shift from traditional engineering models to "data-driven + intelligent decision-making". This paper systematically expounds on the application foundation of AI technology in the field of smart bridges, analyzes four full-life-cycle scenarios including design, construction, operation and maintenance, and disaster emergency response. Combined with typical cases such as the AI-assisted beam replacement project at Keqiao Station of Shaoxing Intercity Railway, it reveals the core value of AI technology in improving the accuracy, efficiency and safety of bridge engineering. Meanwhile, it analyzes current challenges in technology application such as data silos and algorithm reliability, and looks forward to the development direction of in-depth integration of multimodal large models and digital twins, providing references for technological innovation and engineering practice of smart bridges.
Applying Micro lecture Technology in the Laboratory Course “Jewelry Processing and Production”
Get PDFAgainst the backdrop of the deepening national strategy for digital education, enhancing the teaching effectiveness of practical experimental courses in application-oriented undergraduate programs has become a pressing issue. Taking the course "Jewelry Processing and Production" as an example, the high demands for skill training and the limited resources for teacher guidance create a core tension in the teaching process. Specifically, excessive pressure on instructors and prolonged waiting times for student operations constrain the overall improvement of teaching quality. To address this structural contradiction, this study introduces micro-lectures as a core vehicle, systematically constructing and implementing a digitally assisted model aimed at optimizing the teaching process. Practice has shown that by embedding standardized, reusable micro-lecture resources proactively into various teaching stages, this model effectively alleviates the burden of repetitive demonstrations on teachers and significantly reduces student idle time in the classroom. Consequently, it creates the necessary conditions for personalized teacher guidance and refined student training. Post-reform, students' skill acquisition and project completion rates have substantially improved. This study confirms that digital resources, represented by micro-lectures, play a fundamental role in restructuring teaching processes and unleashing instructional effectiveness. The practical pathway of "problem diagnosis—resource intervention—process optimization—efficacy release" established herein provides a valuable preliminary paradigm for the digital reform of similar courses
Research on Film Subtitle Translation from the Perspective of Skopos Theory: A Case Study of Mulan
Get PDFThis paper conducts a case study on the subtitle translation of the American film Mulan within the framework of Skopos Theory, exploring its characteristics, principles, and strategies in the translation process. The study finds that the subtitle translation of Mulan exhibits features such as instantaneity, colloquial speech, and use of cultural transplantability, which align with the communication needs of audiovisual translation. Furthermore, the analysis highlights how the three core principles of Skopos Theory—the skopos rule, the coherence rule, and the fidelity rule—are specifically applied in the translation practice. It demonstrates that through the flexible adoption of strategies such as domestication, foreignization, amplification, and free translation, the translator ensures the accurate conveyance of information while taking into account the cultural backgrounds and aesthetic preferences of the target audience, thereby effectively promoting cross-cultural understanding and emotional resonance. These findings verify the applicability of Skopos Theory in audiovisual translation, and further offer theoretical references and practical examples for related translation practices
Variation in the Use of Who Relative Clauses by L2 English Writers: A Corpus-Based Study of TOEFL Essays
Get PDFThis study investigates how English learners at different proficiency levels use who relative clauses in their writing on the Test of English as a Foreign Language (TOEFL). Using the ETS Corpus of Non-Native Written English, the study examines 1,100 essays written by speakers of 11 first languages across low, medium, and high proficiency levels. Quantitative analyses identified the normalized frequencies of who relative clauses, while structural analyses categorized their syntactic types (OS, OO, SS, and SO). Results show that low-proficiency learners produced the highest normalized frequency of who relative clauses, whereas high-proficiency learners produced the fewest. Across all proficiency levels, OS and SS were the dominant types, confirming Keenan’s (1975) relativized subject accessibility hierarchy. High-proficiency learners showed a greater proportion of SS types, reflecting increased syntactic complexity. Findings suggest that learners’ proficiency levels influence the distribution and complexity of who relative clauses. The study concludes with pedagogical implications for sequencing grammar instruction and promoting syntactic development in EFL writing
Position-Sensitive Tone Correspondences in Chinese Loanwords in Mosuo: A Corpus Study
Get PDFThis study is about how Chinese loans adapt to position sensitivity of Mosuo (Yongning Na) tones. We examined 167 items from Michaud’s Mosuo Dictionary and calculated the number of tone correspondences across syllable positions and historical strata. The results reveal that (1) tone correspondences display significant patterns conditioned by syllabic position such that initial syllables display more tonal distinctions than subsequent syllables; (2) departures from pattern (1) occur in predictable environments and semantic domains and are thus regular rather than random; (3) different historical strata display different patterns. Chi-square tests show that there are significant associations between source tones, Mosuo categories, and syllable position. The results support recipient-language primacy: i.e., surface patterns reflect Mosuo’s native constraints rather than close relations to Mandarin tones. This study presents a replicable corpus-based approach to the study of tonal contact in morphotonologically complex endangered languages
The Application of Smart Course Construction Based On the COST Model in the Teaching of “Civil Engineering Materials”
Get PDFThe course “Civil Engineering Materials” adheres to a student-centered approach, aiming to cultivate “new engineering” applied talents with “practical ability engineering thinking, and craftsmanship spirit”. Through smart course construction, the COST model is used to realize the theoretical and practical path of integrating artificial intelligence into education and teaching, to build a comprehensive teaching system that includes knowledge imparting, ability training, ideological and political integration, and quality improvement