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Research on the Efficiency of Human-Machine Collaborative Delivery Management for Takeout Riders Under Algorithmic Control
Get PDFIn the current digital economy era, the takeout industry is expanding, which makes human-machine collaborative delivery management between takeout riders and intelligent algorithms increasingly important. Based on this, this paper takes takeout riders as Decision Making Units to study the management efficiency of the delivery algorithm from the perspective of input and output. Firstly, a comprehensive evaluation index system for input and output is constructed. Secondly, the entropy method is used to obtain the weights of the delivery input indicators at all levels and the comprehensive input index. Then, the output-oriented DEA-BCC model is established by combining the comprehensive input index and several delivery output indicators. Finally, the efficiency of the delivery algorithm in managing takeout riders is evaluated using the results calculated from the DEA-BCC model. Additionally, this paper also proposes suggestions for personalized human-machine collaborative delivery management in terms of quantity, quality and safety based on the slack variables of the output indicators
Cross-Dimensional Integration and Innovative Applications of Vocal Music and Piano Sound Assets in the AI Era
Get PDFThe rapid advancement of artificial intelligence (AI) technology is reshaping paradigms in musical creation, education, and performance. This paper focuses on piano and vocal sound assets as core research subjects, exploring how AI enables innovative applications through cross-dimensional integration (technology, art, education, and industry). Case studies on interactive smart piano pedagogy, ethical boundaries in vocal synthesis, and data-driven compositional models are analyzed to demonstrate AI’s multifaceted penetration into the music ecosystem and its disruptive impact on traditional practices. A fusion strategy balancing technological optimization and humanistic values is proposed. Findings indicate that AI enhances the efficient management and re-creation of sound assets, promoting the democratization, personalization, and globalization of music. However, systemic solutions are required to address challenges in copyright protection, emotional expression, and ethical governance
Algorithmic Resistance and Online Privacy: Extending the Meta-UTAUT Model with Particular Privacy Concerns: -
Get PDFThis study delved into the perceived benefits and privacy concerns individuals face when interacting with algorithms, and explored their relation to algorithmic resistance. Based on technology acceptance research and online privacy studies, an extended Meta-UTAUT model was proposed. A total of 434 valid samples were obtained in China. The results show that perceived benefits (including performance expectancy, effort expectancy, social influence, and facilitating conditions) are negatively related to algorithmic resistance attitude. Moreover, concerns for technology and financial privacy are positively related to algorithmic resistance intention.This result identifies the aspects of privacy highly esteemed in the interaction between individuals and algorithms. Finally, the contributions, practical and theoretical significance, and limitations of this study were discussed
Appearance Optimization of Environmental Conditioning Equipment: Multi-Physical Field Coupling & Optimization Algorithm Solution
Get PDFFor indoor air quality control equipment optimization, data on ACs, humidifiers, and purifiers is collected. Shape optimization models are built for each to analyze shape factor impacts on functions and obtain optimal shapes and sizes[1]. Then a 3-in-1 device appearance optimization model is established to maximize energy efficiency, human comfort, purification, and humidification effects.
First, air conditioning temperature field optimization analyzes unit placement, inlet/outlet, and wind speed/volume. With heat conduction, Navier-Stokes, and energy equations, a model of indoor airflow and temperature is built. Particle swarm optimizer, finite difference discretizes, SIMPLE solves, and adaptive mesh improves accuracy for uniform temperature.
Secondly, for air purifier shape optimization, a model linking purification effect and shape is set up, with a multi-physical coupling model of particle motion, airflow, pollutant diffusion, and filtration efficiency for efficient purification. The finite difference method discretizes relevant equations and turns partial differential equations into algebraic ones for solving, and the gradient descent method[2] is employed to obtain optimal shape parameters, ultimately finding the best shape and size to maximize purification.
Thirdly, for humidifier performance optimization, consider its role in vapor processes. Build a math model integrating evaporation rate, diffusion, and shape geometry for multi-quantity coupling. Use simulated annealing[3] to iteratively find the optimal, achieving precise humidification control and optimal shape/size.
Finally, integrate models of the previous three problems for the three-in-one environmental regulator. Build a hierarchical optimization model with multi-physical field coupling[4]. Use multi-objective particle swarm genetic algorithm for overall performance optimization[5]. Explore field-volume coupling-based hierarchical nested optimization algorithm to handle multifunctional integration.
This study constructs a full optimization design system. Despite physical model simplification limitations, it's improvable. The results are extendable to other environmental conditioning equipment optimization
The Impact of Modern Agricultural Parks on Regional Agricultural Economic Growth: A Case Study of Modern Agricultural Parks in Southwest China
Get PDFThe level of agricultural economic development is a critical indicator for assessing the achievements of rural revitalization and the construction of a modern agricultural power. How to elevate agricultural economic standards remains a significant challenge for China today. This study treats modern agricultural parks as a quasi-natural experiment and employs a multi-period difference-in-differences (DID) model to analyze panel data from 98 modern agricultural parks in southwest China, aiming to explore whether the construction of modern agricultural parks can influence regional agricultural economic growth. The findings demonstrate that the establishment of modern agricultural parks significantly enhances the level of agricultural economic development. This effect remains robust after conducting parallel trend tests, placebo tests, and propensity score matching (PSM)-DID checks. Further mechanism analysis reveals that such parks drive agricultural economic growth through innovations in agricultural technology. Additionally, heterogeneity analysis indicates that the policy effect of modern agricultural parks varies across regions, with stronger impacts observed in areas with moderate development levels compared to less developed regions. These research findings provide valuable insights for accelerating the construction of a socialist modern agricultural power in the new era and offer a theoretical foundation for advancing the modernization of agriculture and rural areas
Research on the High-Quality Development of Foreign Trade Under the Trend of AI Innovation
Get PDFThis paper takes the innovative trend of artificial intelligence (AI) technology as a starting point to explore its profound impact on the high-quality development of foreign trade. The article first clarifies the connotation and evaluation indicators of high-quality foreign trade development, and then reviews the global development dynamics of AI technology and its core application scenarios. Based on technology-driven theory, diffusion of innovations theory, and value chain reconfiguration theory, a theoretical framework for the integration of AI and foreign trade is constructed. The paper analyzes the empowering effects in key areas such as intelligent supply chain management, optimization of cross-border e-commerce platforms, and precision marketing, while also addressing potential risks such as data security and privacy protection. Building on theoretical review and conceptual exploration, the paper proposes a development model driven by AI to promote the transformation and upgrading of foreign trade, and provides strategic recommendations for governments and enterprises in policy formulation and implementation pathways. The aim is to offer both theoretical support and practical guidance for the high-quality development of foreign trade in the digital economy era
The Impact of the Carbon Border Adjustment Mechanism (CBAM) on China's New Energy Vehicle Exports to the European Union
Get PDFWith the increasingly strong call for energy conservation and emission reduction on the international stage, countries and regions such as the United States, the European Union, and Japan have begun to prepare for legislation on the collection of carbon tariffs. To address climate change, the European Commission has also proposed a series of proposals. The CBAM will open up another important track for global efforts to combat climate change. The product categories initially included in the CBAM's collection scope have been revised several times during the legislative process and have finally been determined to be cement, electricity, fertilizers, steel, aluminum, and chemical products (hydrogen). The automotive industry, including new energy vehicles, power batteries, auto parts, automotive metal raw materials, and the hydrogen fuel cell vehicle industry chain, will all be affected. As a key component of new energy vehicles, the carbon emissions during the manufacturing stage of power batteries typically account for about 30% of the total emissions of new energy vehicles, which will bring new export challenges to China's automotive industry enterprises. This paper uses the input-output method to calculate the embodied carbon emissions of new energy vehicle exports based on the input-output table and export data of automotive products, providing data support for calculating the carbon tariff rate imposed on China's new energy vehicle products. Subsequently, this paper analyzes the impact of the CBAM on the export volume, market price, and social welfare of China's automotive products from both theoretical and empirical perspectives. Finally, in the face of the challenges posed by the EU carbon tariff to China's new energy vehicle industry, several forward-looking measures are proposed from two levels: the government and the automotive enterprises
A Review of Research on the Application of Case Teaching Method in International Chinese Language Education
Get PDFIn recent years, with the rapid development of International Chinese Language Education, research on its related teaching methods has become increasingly abundant. Scholars in International Chinese Language Education have found that the case teaching method, widely used in disciplines such as business and law due to its open and practical characteristics, aligns well with the features and talent development needs of International Chinese Language Education. In order to maximize the role of the case teaching method in International Chinese Language Education, research on its application in this field has gained significant attention. This paper reviews the relevant research on the application of the case teaching method in International Chinese Language Education from 2000 to 2024. Based on a review of the relevant research literature, the paper summarizes the following major research areas: the applicability of the case teaching method in International Chinese Language Education, its application in business Chinese teaching, and the construction of Case Library. The paper identifies four main shortcomings in this field: 1) teaching methods are still dominated by lecture-based instruction, which tends to be rigid; 2) Case Library construction faces challenges, such as a lack of sources and high resource acquisition costs; 3) there is a lack of case sharing; and 4) the coverage of case teaching is narrow. Based on these issues, the paper suggests the following: first, conducting training for International Chinese Language teachers to familiarize them with the case teaching process and encourage its use in classroom teaching; second, expanding case collection channels by gathering teaching cases from International Chinese Language teachers worldwide to enrich Case Library and address the limited sources problem; third, promoting the opening of resources from universities with International Chinese Language Education Case Library, sharing construction experiences, and promoting co-construction and sharing of these databases; and fourth, reflecting on the application of the case teaching method, summarizing its suitable target audience and course types, expanding its application range, and improving teaching effectiveness
Research Progress on Peptide-Based Piezoelectric Carrier Materials
Get PDFPeptide-based piezoelectric carrier materials demonstrate unique advantages in biocompatibility, tunability, and self-assembly capabilities, making them highly promising for applications in sensors, energy harvesting, and bioelectronics. This paper reviews the research progress of peptide-based piezoelectric carrier materials, starting with an introduction to the basic principles of piezoelectric materials and the application of peptides in material science, with a focus on the mechanisms of peptide integration with piezoelectric materials. The paper then analyzes the current main research directions, including peptide-inorganic material composite systems, peptide-organic material composite systems, and peptide-nanomaterial composite systems, summarizing the characteristics, performance optimization strategies, and potential applications of each type of system. Finally, this paper discusses the challenges faced in the current research on peptide-based piezoelectric carrier materials, such as material stability, controllability, and scalability issues, and looks forward to future research directions, including improving material stability, optimizing peptide sequence design, and exploring their application prospects in new smart materials
Research on Ion Channels in Dorsal Root Ganglion Neurons
Get PDFDorsal Root Ganglion (DRG) neurons serve as crucial nodes for pain signal transmission, and their excitability regulation plays a key role in various physiological and pathological processes. Ion channels, as central components in modulating DRG neuron function, are involved in biological processes such as pain conduction, neural signal integration, and plasticity. This paper systematically analyzes the structural characteristics, functional mechanisms, and roles of different types of ion channels in DRG neurons, including sodium channels, potassium channels, calcium channels, and other related channels, particularly in pathological conditions. In light of current research trends, the paper also explores the potential of ion channels as drug targets and in technological applications, while suggesting future research directions. The aim is to provide theoretical support for the diagnosis and treatment of diseases related to DRG neurons