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How Does Public Transit Connectivity Affect Voter Turnout? The Case of US
This paper utilizes three methodological approaches to explore the relationship between public transit connectivity and voter turnout. The first approach compares the cases of Los Angeles County, where public transit was free on the day of the 2020 presidential election, and Alameda County, where there was no such program. The second approach utilizes a multi-linear regression to quantify the relationship between public transit connectivity and voter turnout. The third approach makes use of Random Forest, a machine learning model, to make more accurate predictions of voter turnout based on a range of independent variables including public transit connectivity. Overall, this paper finds that there is a positive relationship between public transit connectivity and voter turnout. However, on average across the US, the effects of improvements in public transit connectivity on voter turnout are minute; this paper finds that an average nationwide improvement in public transit connectivity by approximately 40% resulted in a roughly 0.028% average increase in voter turnout across the country. However, in specific cases, the effects can be drastic; for example, in Jackson County, Missouri, there was a 1.65% increase in voter turnout for every 1% improvement in public transit. These results suggest that while public transit can be useful in improving voter turnout, policies that improve public transit connectivity in order to increase voter turnout should be implemented on a case-by-case basis
A Critique of J.L. Austin’s Speech Act Theory
This study is a critique of J.L. Austin’s (1962) speech act theory which attempts to explain how the total performance of speech acts is determined by the total speech situations. The theory does not ignore the fact that language structure facilitates the understanding of speech acts. According to J.L.Austin (ibid), uttering wrong expressions in certain contexts implies that locutionary acts are neither coherent nor cohesive. Diane Blakemore, cited in Deborah Schiffrin, Deborah Tannen and Heidi E. Hamilton (2001) avers that ‘coherence relations are structural relations which hold in virtue of formal properties of utterances.’ Pragmatic use of language is fosterd by linguistic competence on the part of discourse participants. Though a theory that is deely rooted in context-based use and interpretation of language, J.L. Austin’s speech act theory aligns with Fowler’s (1981) claim that ‘linguistic structure is not arbitrary. It is determined and motivated by the functions it performs.’ J.L. Austin holds the view that there are social institutions that language users invoke in the performance of illocutionary acts; this view captures the notion that J.L Austin calls ‘felicity condition’. The theory is in tandem with the goals of pragmatics. Hinging on Adegbija’s (1982), ‘pragmasociolinguistic’ approach, this study concludes that J.L. Austin’s (ibid) speech act theory explains at a foundational level, the action-potential of language in context. However, the theory does not completely elucidate what language users do with illocutionary acts, which, as acknowledged in the literature, are too intractable to categorize, even though they operate in the explanation of the pragmatic, social and linguistic underpinnings of textual message
A Review of Research on the Influence of Chinese Senior High School Chinese Drama Teaching on Students’ Aesthetic Psychological Cognition (2023-2025)
Guided by the core literacy of “aesthetic appreciation and creation” in the new senior high school Chinese curriculum standard, drama teaching, as a core carrier for implementing Chinese aesthetic education and cultivating students’ aesthetic psychological cognition, has become a research hotspot in Chinese education from 2023 to 2025. Using the literature research method, this paper systematically sorts out domestic research findings in this period, focuses on analyzing drama teaching’s impact on students’ four-dimensional aesthetic psychological traits (perception, empathy, thinking, creation), compares cultivation differences of different teaching modes, summarizes research consensus and existing shortcomings, and provides theoretical and practical guidance for follow-up research and teaching optimization
On Subtitle Translation Strategies under the Guidance of Relevance Theory: With Evidence from the Movie Wandering Earth 2
With Chinese films increasingly reaching international audiences, the role of subtitle translation as a crucial facilitator of cultural exchange and comprehension has become paramount. This study, employing Relevance Theory as the theoretical framework, investigates the strategies in translating the subtitling of Wanderding Earth 2, a Chinese sci-fi blockbuster. The findings reveal that to achieve optimal relevance, the translator can employ a combination of textual and cognitive strategies. At the textual level, techniques such as omission, addition, and paraphrase are used to overcome space and time constraints and enhance clarity. At the (cultural) level, strategies including domestication and foreignization strategies are observed, effectively minimizing comprehension barriers while introducing Chinese cultural concepts. This research underscores the explanatory power of Relevance Theory in audiovisual translation and offers practical insights into effective subtitle translation strategies
A Study on the Impact of Self-Efficacy on College Students’ Acceptance of Generative AI-empowered English Learning: Based on the Technology Acceptance Model
This study, grounded in the Technology Acceptance Model (TAM), analyzes questionnaire data from 226 university students using Structural Equation Modeling (SEM). It investigates the predictive effects of self-efficacy (SE) on students’ perceived usefulness (PU), perceived ease of use (PEOU), attitude toward use (ATT), and behavioral intention (BI). Additionally, it explores the direct and indirect mediating roles of the aforementioned three variables between self-efficacy and behavioral intention. The results indicate that university students generally show a high level of acceptance toward generative artificial intelligence in English learning. The predictive relationships among the core variables of the Technology Acceptance Model are validated, with self-efficacy having a significant positive impact on all four variables. Furthermore, the mediating effects of perceived usefulness, perceived ease of use, and attitude toward use between self-efficacy and behavioral intention are significant, with a continuous mediation path observed. Among these, the mediation effect of attitude toward use is the most prominent. These findings provide insights into how universities can optimize the implementation of generative artificial intelligence in English teaching practices and enhance learners’ acceptance of technology
Research on the Clinical Inheritance Practice and Optimization Path of Mongolian Medicine Inheritance Model from the Perspective of Ternary Interaction
The purpose is to analyze the current practice status, interaction mechanism and optimization path of the "family inheritance - apprenticeship - school" trinity education model in the clinical inheritance of Mongolian medicine in Xing 'an League, and to provide empirical evidence for solving the talent gap of Mongolian medicine and the predicament of traditional skills inheritance. The method is to use multimodal field investigation. A 12-month participatory observation, in-depth interviews and case tracking of local Mongolian medical institutions, families and clinics were carried out to systematically collect data on knowledge transfer, skill acquisition and institutional fit. The results showed that the tripartite model was parallel but lacked integration: The advantages of master-apprentice transmission are obvious but the recognition of professional titles is not high. The theoretical system of colleges is complete but the proportion of clinical training is low. The family transmission retains traditional skills but the innovative consciousness of young inheritors is relatively weak. The conflicts between the models affect the effectiveness of transmission. The conclusion proposes to build a dual-track system with clinical ability as the core, the integration of the three elements as the path, and institutional adaptation as the guarantee. By means of mutual recognition of mechanisms, module embedding and other measures, the quality of Mongolian medicine inheritance will be improved to help build a healthy China
Teaching Reform of Structural Mechanics Course in Applied Universities under the Background of Engineering Education Accreditation
Engineering education accreditation takes “student-centered, output-oriented, continuous improvement” as the core orientation, and puts forward clear ability requirements for the training of engineering professionals in applied universities. As the core professional basic course of civil engineering, intelligent construction and other majors, structural mechanics is the key carrier to connect basic mechanics and engineering practice. Its teaching quality directly affects the training effect of students’ engineering literacy and professional ability. In view of the problems existing in the course of structural mechanics in applied colleges and universities, such as abstract and difficult knowledge, disconnection between theory and practice, insufficient motivation of students’ active learning, and single assessment method, combined with the certification standards of engineering education and the orientation of applied colleges and universities, from the four dimensions of teaching content optimization, teaching mode remodeling, teaching method improvement and assessment method reform, this paper puts forward targeted teaching reform strategies, and constructs a teaching system of “integrating theory with practice, paying equal attention to knowledge and ability, and giving consideration to process and result,” aiming at improving the teaching quality of the course and students’ engineering practice ability. To cultivate high-quality applied engineering and technical talents in line with industry needs and certification standards
Construction and Practice of Labor Education System for Civil Engineering Specialty Based on Structural Design Competition
Based on the requirements of the deep integration of labor education and professional practice in the new era, aiming at the problems of insufficient carrier of labor education and disconnection from engineering practice in civil engineering specialty, this paper constructs and practices a multi-dimensional labor education system with structural design competition as the core drive and through professional courses and competition training. The system decomposes the goal of labor education into five dimensions: value shaping, knowledge application, skill tempering, habit formation and quality cultivation, and implements it through the four-stage path of “curriculum embedding-school competition building-province competition tempering-national competition sublimation”. Combined with the teaching of “Structural Mechanics”, “Engineering Seismic” and other courses, the integration path of labor education elements in group projects such as bamboo bridge model bearing and multi-story frame seismic model is elaborated in detail. Practice shows that the system effectively stimulates students’ enthusiasm for labor, significantly improves their engineering practice ability, innovative collaboration spirit and craftsman spirit, realizes the same frequency resonance of labor education and professional talent training, and provides a practical paradigm for similar colleges and universities
Interdisciplinary Integration of Spatial Syntax and Urban Big Data: Building a New Generation Logistics Route Optimization Decision Framework
This paper addresses the limitations of traditional logistics route optimization models, which overly rely on historical average data and struggle to adapt to dynamic urban traffic environments. It proposes an interdisciplinary decision-making framework integrating spatial syntax with urban big data. The research aims to enhance route optimization accuracy and robustness by constructing a “spatial-temporal” dual-driven model. This model integrates static road network topology attributes (integration and connectivity values) generated by Depthmap with dynamic multi-source big data (historical traffic flow, time, and climate). Results demonstrate that compared to traditional shortest path models, this framework significantly reduces average travel time while improving network load balance and prediction accuracy. The conclusion asserts that this model effectively resolves the “shortest path not always optimal” challenge, providing a decision support tool for smart logistics that combines theoretical depth with practical value
Innovative Construction of a Growth-Oriented Academic Assessment System in the Context of Value-Added Evaluation
In the context of educational evaluation reform, the traditional academic evaluation system hinders the sound development of education due to its “select-oriented”, “score-only” and utilitarian tendencies. Based on the theory of value-added evaluation, this paper constructs a new growth-oriented academic evaluation system, which takes the all-round development of students as the core and integrates three characteristics: verticality and development, diversity and comprehensiveness, incentive and orientation. The implementation path covers dimensions such as clarifying stratified goals, optimizing multiple indicators, strengthening data management, collaborating evaluation subjects, and deepening the application of results. By establishing an individual longitudinal development coordinate system, integrating multi-source evaluation information, and driving two-way teaching improvement, the transformation from “horizontal comparison” to “vertical growth” is achieved, providing scientific solutions for solving the evaluation dilemma, implementing educational equity, and improving educational quality, and facilitating students’ individualized development and educational ecosystem innovation