bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Contraband Recognition Algorithm of Intelligent Millimeter Wave Security Equipment Based on R-CNN Algorithm under Civil Aviation Domain
Authors: Sun Qiwen 
Published: July 2024

Abstract
In recent years, the way of air travel is gradually popularized, and the security check system in the airport is facing corresponding pressure. In order to guarantee the security problems in the aviation field, this study investigates the security check system in the civil aviation field. After investigating the security checking process in civil aviation, the Faster R-CNN has been improved based on both multilayer feature fusion and loss function to adapt to the target detection of millimeter wave images. Then, the detection and radiation characteristics of millimeter waves are introduced, and the target detection algorithm based on edge extraction is constructed. On this basis, artificial intelligence, big data, augmented reality glasses, and other technologies are incorporated to establish a security check system in civil aviation and analyze it experimentally. In terms of the overall recognition performance of mAP, this paper’s method improves by an average of 3.098-6.504% and 3.740-8.706%, respectively, with the highest FPS of 45 and 36, and its generalization ability is better compared to other methods. In addition, in the practice of contraband detection in unmixed and mixed backgrounds, the devices based on the security system of this paper have higher than 90% detection in all seven types of contraband, which is able to improve the accuracy of contraband detection, while still maintaining good performance in the case of overlapping targets. This study can assist security personnel in completing the task of detecting contraband and improving the efficiency of security checks.
Exploration of College Students’ Psychological Education Teaching Mode Based on Cognitive Behavioral Theory and Its Practice in the Internet Era
Authors: Xiang Xiaomi , Zhao Ruochen 
Published: July 2024

Abstract
The Internet era brings to the teaching of mental health courses not only the sharing of the best quality teaching resources, but also will profoundly impact the traditional teaching mode of mental health education classes. Based on Cognitive Behavioral Theory (CBT), this study constructed a hybrid online + offline psychological education teaching mode in the Internet era and designed a controlled experiment between it and the traditional teaching mode to analyze the significant difference through the independent samples t-test method to realize the comparative analysis of the teaching mode. Additionally, the influence factors for evaluating the effectiveness of the teaching method were explored using the CART categorical regression tree model. In Group I, which adopted the blended teaching mode, there were significant differences in the male students’ mental health factors in obsessive-compulsive (p=0.013) and paranoia (p=0.014) and highly significant differences in interpersonal relationships (p=0.006) and academic stress (p=0.002). There is a significant difference in the mental health factors of female students in five factors: compulsion, interpersonal relationship, anxiety, maladjustment, and emotional instability, and there is a highly significant difference in paranoia and academic stress. Only the compulsive (male) factor (p=0.029) and depression (female) factor (p=0.031) showed significant differences in each health factor before and after the experiment in Group II, which used the traditional teaching mode. The teaching mode of this paper has an obvious effect on the improvement of college students’ mental health, which is much better than the traditional teaching mode, thus providing feasible ideas for the construction of a psychological education teaching mode.
Applications and Ethical Challenges of Artificial Intelligence Technologies in E-Commerce
Authors: Xiao Bin , Tang Meiyu , Xiong Yong 
Published: July 2024

Abstract
The theory and technology of artificial intelligence are becoming more and more mature, and its application fields are expanding, greatly changing people’s lifestyles and work modes. The article sorted out the power mechanism and interaction relationship of AI technology to promote the development of e-commerce, and innovated the development mode of e-commerce based on AI empowerment, but also illustrated the ethical challenges brought by its application. Combining the BERT model and LSTM model to establish a sentiment analysis model for online reviews of e-commerce products, using the BiGRU model to obtain users’ long-term preferences, and learning users’ short-term preferences through the multi-head self-attention mechanism to establish a personalized recommendation model for e-commerce products. The study explores the algorithmic discrimination of AI-enabled e-commerce and introduces economic concepts to analyze the consumer’s perceived betrayal and kill-off phenomenon through experiments. At the lowest level, the individualized recommendation model only has an MAE value of 0.679, while the BERT-LSTM model has a sentiment analysis accuracy of 0.837. The average level of perceived betrayal and deliberate attribution of the low-priced group is 4.035 and 4.369, respectively, which is lower than that of the high-price group is lower, and the killing phenomenon brought by algorithmic price discrimination can be alleviated when the elasticity of demand is 0.4.AI-enabled e-commerce needs to be legally regulated from the five perspectives of legislation, law enforcement, judiciary, law-abiding, and law-monitoring as a way of circumventing the algorithmic discrimination and ethical challenges brought about by AI technology.
Mechanism Analysis of Smart Logistics Technology to Enhance the Logistics Efficiency of Rural E-Commerce
Authors: Li Linna 
Published: July 2024

Abstract
Under the advancement of reform and opening-up policy, the development direction of e-commerce enterprises has gradually shifted from the city to the rural areas with lower levels of economic development. This paper builds a rural e-commerce intelligent logistics system based on the Internet of Things (IoT) technology and proposes an improved ant colony algorithm to plan the optimal path of rural e-commerce logistics and distribution by mining the transfer probability of each distribution point in logistics and distribution as well as pheromone updating mechanism, so as to improve the logistics efficiency and customer satisfaction. Experiments show that the improved ACO algorithm in this paper performs significantly better than the genetic algorithm and particle swarm algorithm in logistics and distribution path planning and can control the transportation cost and penalty cost at a lower level. When considering the cargo loss of fresh products in logistics distribution, the satisfaction rate of traditional logistics distribution is only 65.2%, while the satisfaction rate of logistics distribution based on intelligent logistics technology is 87.9% on average. The distribution path planned by the ant colony algorithm has less mileage, lower cost, and higher logistics efficiency. This paper provides a feasible path for further improvement of rural e-commerce logistics efficiency, which can promote the development of the logistics industry in the direction of more intelligent, personalized, and green.
Artificial Intelligence-Assisted Evaluation of English Teaching Effectiveness in Colleges and Universities
Authors: Meng Hong 
Published: July 2024

Abstract
Education informatization is an important initiative for the country to realize education modernization, which is related to the development of China’s education. The use of a single evaluation of teaching effectiveness obviously cannot meet the assessment needs. Based on the premise of intelligent assistance through a hybrid brain-computer interface, this paper aims to study an evaluation method for teaching effectiveness using artificial intelligence. Firstly, EEG signals are collected through an EEG acquisition device, and then they are preprocessed. Second, the pre-processed signals are subjected to feature extraction, and then the features are classified using a specific pattern recognition method, and finally the classification results are used to assess the effectiveness of English teaching for college students. Based on the evaluation results, the learning system is optimized and improved. The signals collected by EEG devices carry a lot of noise, and in this paper, the processing of the original signals includes a smoothing filter, de-baseline filter, filter filter, and Kalman filter to achieve a higher signal-to-noise ratio. Multivariate evaluation results are provided by the evaluation system that is assisted by artificial intelligence. Compared with other evaluation methods to enrich the evaluation information, based on the above system effectiveness evaluation study, as far as the F1 value is concerned, this paper’s method is the highest, reaching 0.815, which is 0.048 higher than the highest F1 value of the traditional algorithm, and in the other two values, this paper’s method is also higher than other methods. This verifies the rationality and effectiveness of the teaching effectiveness evaluation system based on a hybrid brain-computer interface proposed in this paper.
A Study on Corporate Management Strategies for Downstream Innovation Ecosystems in the Context of Digital Economy
Authors: He Chuanjie , Liu Xudong 
Published: July 2024

Abstract
The rapid development of the digital economy makes the center of gravity of enterprise development accelerate from the consumer field to the production and manufacturing field, penetrating all aspects of the daily operation and management of an enterprise. This paper presents relevant management strategies by exploring the impact of the ecosystem model of enterprise management innovation on the impact of enterprise management in the digital context. In order to measure the comprehensive efficiency value, the efficiency value of capital absorption, and the efficiency value of investment after enterprise management, the theory of antagonistic cross-efficiency is introduced, the antagonistic cross-DEA model is constructed, and the evaluation steps of enterprise management effect are given. Using this model to empirically analyze the management effectiveness of China’s construction industry, enterprise performance=4.563+0.352*digital innovation ecosystem index+0.236* periodic cost+0.362*number of R&D personnel, and the digital innovation ecosystem is significantly related to enterprise performance. Finally, this paper designs a corporate management strategy for the digital innovation ecosystem in the context of the digital economy from three perspectives.
Artificial Intelligence-Assisted Teaching Strategies for English Cultural Communication in Colleges and Universities
Authors: He Yanping 
Published: July 2024

Abstract
This paper utilizes artificial intelligence-related technologies, such as intelligent agents and text mining, to form the two basic modules of the English Cultural Communication Platform, which facilitates simple online English cultural communication. This study employs questionnaires and surveys to comprehensively understand and analyze the English cultural communicative competence of international education masters who have used the English cultural communication platform for teaching purposes. Independent sample t-tests and one-way ANOVA were used to look into how it affected different parts of English cultural communication competence. The results showed that most students could learn about the lives and cultures of other countries through the platform. 60.07%, 80%, and 90% of the students believe that they can effectively improve their knowledge, attitude, and skills in English cultural communication, respectively. The length of teaching practice on the English cultural communication platform has a significant effect on English cultural sensitivity and English cultural efficacy (P = 0.002), while English proficiency has little effect on influencing English cultural communication skills (P > 0.05). Through this platform, students can effectively develop multicultural communication skills and awareness.
Research on Project-based Teaching Reform of Nautical English in Higher Vocational Colleges under the Background of Informatization
Authors: Huang Xiang 
Published: July 2024

Abstract
The quality of higher vocational nautical English teaching is not only related to the student’s vocational ability and job competence but even related to the safety of the ship and personal safety during the voyage. In this paper, we design a reform plan for higher vocational nautical English teaching based on the Hadoop-MapReduce distributed system framework, design the reading and writing algorithms of teaching resources, use a genetic algorithm to improve Pick-KX dynamic load balancing algorithm and construct a nautical English project-based teaching resource base. The effectiveness of the improved Pick-KX dynamic load balancing algorithm in this paper is tested through experiments with 200 to 1000 concurrent users. Finally, two senior nautical English classes are selected to conduct a semester of controlled variable experiments on project-based teaching reform and analyze the changes in performance. It was found that when the number of online users increased from 200 to 1,000, the IO and memory occupancy increased by 60% and 458M, respectively, and the average time taken increased from 0.8 to 5.8 seconds, which was in a reasonable range, and the repository was able to run smoothly. After one semester of experiment, the average score of the experimental class increased by 10.88 points, and the distribution of scores changed towards the high end of the range, while the scores of the control class did not change significantly. This paper’s nautical English project-based teaching resource library is effective, and the project-based teaching reform is a significant improvement in students’ nautical English scores. This study provides unique ideas and feasible methods for the reform of nautical English teaching, as well as the application and innovation of project-based teaching.
The Impact of Virtual Reality Technology in Improving English Language Proficiency
Authors: Huang Xiang 
Published: July 2024

Abstract
As an online virtual learning environment based on virtual reality technology, the 3D virtual classroom provides a complete learning system for students to study, discuss, and collaborate, which can better improve their English language skills. The article firstly researches the 3D visualization modeling technology of Multigen Creator, and then the 3D virtual classroom environment is embedded in the network to complete the construction of the basic English teaching environment, which can help students to complete the English communication and collaborative learning in the virtual classroom environment. The article concludes with an empirical test of the application effect of using the virtual classroom environment in English language proficiency improvement and finds that after using the virtual classroom environment for English learning, students’ comprehensive language proficiency is improved, which is reflected in the improvement of language expression ability, and students’ total average score is increased from 3.03 to 3.50 points. The pre-test showed an increase in the student’s language learning experience from 2.96 to 3.83 points. It can be concluded that virtual reality technology plays a good role and influences in improving English language proficiency.
Cultural Exchange and Transmission of Values in Tourism: A Study of Opportunities and Challenges in the Context of Globalization
Authors: Jian Zengqing , Zhou Yuxi , Ren Zhengshi 
Published: July 2024

Abstract
This paper, drawing from the definitions of globalization, tourism cultural exchange, and tourism value dissemination, formulates a set of 15 observational variables. Using mathematical and statistical methods, the author constructs a structural equation model that includes the concept of globalization as the exogenous latent variable and cultural exchange and value dissemination as the endogenous latent variables. After estimating the model using the partial least squares method, the author combines relevant data to conduct an empirical analysis of the model. The analysis reveals that the modified fitting parameters, based on partial least squares, have values of GFI = 0.933, CFI = 0.931, TLI = 0.927, RMSEA = 0.046, PGFI = 0.667, and PNFI = 0.758, indicating a relatively satisfactory fit for the modified model. There is a strong positive relationship between the three paths: the globalization idea → cultural exchange (0.428, 0.005), the globalization idea → values dissemination (0.579, 0.048), and the cultural exchange → expression of values dissemination (0.587, 0.019). The mediating effect of cultural exchange is responsible for 28.35% of the relationship, while the direct effect of cultural exchange is responsible for 71.65%. This means that cultural exchange plays a significant positive role in the partially mediating role between globalization ideas and values dissemination.
Research on the Integration of Music Curriculum and College Students’ Mental Health Education in Colleges and Universities in the Context of the New Era
Authors: Kong Nan , Zhao Wanru , Shi Changqing 
Published: July 2024

Abstract
With social progress and technological development, contemporary college students are under increasing pressure in life and study. Music’s role in regulating physical and mental health has been underlined and gradually used in students’ mental health education. Based on the regulating function of music education on students’ psychology, the study proposes the education model of integrating music courses with mental health education and constructs the model of mental health examination (MMHE) that integrates signal characteristics and emotional characteristics of college students to test the mental health level of college students under this education model, so as to explore the effect of integrating music courses on mental health education. In the group of college students, those with good mental health accounted for 63.39% of the total number of students, those with mild mental problems accounted for 31.25%, those with moderate mental problems accounted for 3.87%, and those with more severe mental problems accounted for 1.49%. Among the students with mental health education integrating music, the values of the 10 dimensions of mental health decreased, and the p-value in obsessive-compulsive symptoms, paranoia, hostility, anxiety, maladaptation, emotional instability, and psychological imbalance was less than 0.05, which was a significant effect. Based on this, teachers must base music activities to optimize students’ psychological quality in the teaching of mental health in colleges and universities, and further bring into play the nurturing value of the music discipline.
Research on Environmental Responsibility Behavior of Tourists in Seaside Ecological Scenic Spots--The Case of Shenzhen Bay Park
Authors: Li Ping , Xu Chunxiao , Zhou Qi 
Published: July 2024

Abstract
There is a symbiotic relationship between tourists’ environmental responsibility behavior and tourism’s ecological environment. If tourists consciously maintain the tourism ecological environment, their role in environmental protection will be transformed from a “liability” to an “asset”. Based on the SOR model and relevant research, this paper proposes three stimulus variables for tourists’ environmental responsibility behavior: the image of tourist places, environmental emotion, and local attachment. The initial questionnaire for each variable was created, and the final reasonable questionnaire was determined by reliability testing. A survey of tourists in Shenzhen Bay Park was then conducted and analyzed. The results of the study indicate that tourists in Shenzhen Bay Park exhibit high levels of environmentally responsible behavior. The results of the structural equation test showed that there was a significant influence path relationship (P<0.01) between tourist place image, environmental emotion, and place attachment to environmental responsibility behavior. It has also been found that place attachment has a significant mediating effect on tourist place image, environmental emotion, and tourists’ environmental responsibility behavior. This paper proposes the enhancement strategy of tourists’ environmental responsibility behavior to provide a reference for the strategy planning of related departments, which is conducive to the realization of the sustainable development of seaside ecological scenic spots.
The application of the physical-educational integration model in the technical and tactical teaching of college soccer-specific students and its effects
Authors: Li Zhengchang 
Published: July 2024

Abstract
The concept of body-education fusion integrates educational concepts and sports resources while focusing on theoretical knowledge and skills knowledge, which has become another new form of the development of sports and soccer education and teaching in the new era. This paper analyzes the innovation orientation of the technical and tactical teaching mode of soccer special students under the model of body-teaching fusion, combines the characteristics of soccer technical and tactical teaching, constructs the teaching idea, and divides the teaching content stage. Applying the evaluation of the soccer teaching effect, it constructs the evaluation system of the technical and tactical teaching effect of college students specializing in soccer with four first-level indexes, namely, athletic ability, healthy behavior, thinking development, and team cooperation. Using the hierarchical analysis method to calculate the weight of each index, the fuzzy comprehensive evaluation method is used to carry out a comprehensive evaluation of the technical and tactical teaching mode of soccer specialization students with the integration of body teaching. Combined with the results of the fuzzy comprehensive evaluation of the body-teaching fusion model, we analyze and verify the advantages of the application of the body-teaching fusion model in the technical and tactical teaching of soccer special students. The fuzzy evaluation results of the technical and tactical teaching mode of students in the integration of sports and education football accounted for 45.79%, 32.81%, 19.05%, 2.35%, and 0, respectively, in the expert evaluation grades of “excellent”, “good”, “average”, “passing” and “to be improved”, respectively, and the comprehensive score was 87.03 points, which was significantly better than the interactive teaching mode before the implementation of the concept of sports and education integration, and had certain teaching advantages.