bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of Import and Export of Aquatic Products in Zhanjiang City--Platform Construction Based on Blockchain Perspective
Authors: Yan Yanrong 
Published: June 2024

Abstract
Amid the advancement of the global economy and the digital era, Zhanjiang’s aquatic products have increasingly contributed to its total import and export volume. However, its geographical position, encircled by the sea on three sides, exposes the region’s aquaculture and processing industry to significant challenges, notably the discharge of nuclear wastewater from Japan. Traditional practices governing the import and export of Zhanjiang’s aquatic products face several issues, including complex transaction negotiations, inefficient customs supervision, inadequate logistics, high settlement costs, and difficulties in tracing product quality. The adoption of blockchain technology offers a promising solution to these challenges. By harnessing the inherent features of transparency, decentralization, security, and confidentiality, along with integrated consensus, trust, security, and synergy mechanisms, this study proposes the development of a comprehensive import and export platform for Zhanjiang’s aquatic products. This platform is structured across five layers: data source, data layer, network layer, service layer, and operation layer. Enhancements across five critical components—signing, supervision, logistics, payment, and consumption links—can significantly optimize the traditional pain points associated with Zhanjiang’s aquatic product transactions. The implementation of blockchain technology in this context is anticipated to foster healthy and rapid development within the sector, promoting a more sustainable and efficient trade environment.
Construction and validation of a model of the relationship between bra functional requirements and mammary gland development in adolescent girls
Authors: Zhao Yulin 
Published: June 2024

Abstract
The researchers studied whether there was a bra style or brand preference in adolescent girls and adopted a hybrid approach to study the girls’ expectations for bras regarding the comfort, protection, and support they provide, with a view to assessing the function of the bras for adolescent girls. The research took samples from girls aged eight to 18 who are concentrated in Guangdong Province. The researchers found that teenage girls desire improved bras that are properly sized and fit for them, providing comfort, protection, and support. Additionally, the bras that adolescent girls want should not interfere with their daily study or sports activities. Underwear manufacturers can improve the bra design for teenage girls by incorporating the results of this study, ensuring healthy breast development and meeting their needs and expectations.
Investigation into the Long-Term Stability of Carnallite Pillars Considering Creep Influence
Authors: Li Mingjie , Li Xibing , Chen Jiangzhan , Huang Linqi 
Published: June 2024

Abstract
In subterranean potash mines utilizing the room-and-pillar mining method, maintaining the long-term stability of carnallite pillars is imperative for the safety and ongoing viability of operations. This study undertakes uniaxial compression creep tests on carnallite samples sourced from the Dongtai Potash and Magnesium Salt Mine in Laos. The durability of carnallite pillars is evaluated using an advanced Burgers creep model combined with Flac3D numerical simulations. Results indicate that the creep strength of carnallite is approximately 60%–70% of its immediate strength, demonstrating significant creep behavior. The refined Burgers model provides an accurate representation of the carnallite’s creep characteristics. Post-excavation, the internal compressive stress within the pillars progressively increases, registering an approximate rise of 1 MPa, and stabilizes under pressure after one year. After three years of continuous observation through creep tests and Flac3D simulations, the maximum deformations detected in the roof and floor of the mining house, as well as the adjacent rock masses, were 60mm and 20mm, respectively, indicating minimal overall deformation. The width of the plastic zone within the pillars exhibits time-dependent growth, with rapid expansion occurring in the internal plastic zone and a significant deformation rate within the first six months post-excavation. To ensure the long-term stability of the mining pillars and voids, it is recommended that backfilling operations be conducted within six months following the excavation.
Internet usage and household energy poverty
Authors: Liu Yifei 
Published: June 2024

Abstract
Based on the double critical value method and the data of the China Household Panel Survey from 2014 to 2023, this paper measures the multidimensional relative household energy poverty in China. After confirming the impact of income poverty on energy poverty, this paper explores the formation mechanism of energy poverty from the perspective of opportunity acquisition. It explores the occurrence path of “opportunity access-income poverty-energy poverty” of residents by combining the structural equation model. Finally, the impact of Internet use on energy poverty was investigated through multiple regression analysis. According to the study, China’s official poverty line is about 2.0 US dollars, and the energy poverty line has increased by 49.6% in 2022 compared with 197.2 yuan in 2018. In the empirical analysis of access level and energy poverty, the coefficient of Internet learning is 0.311. Further, adding the moderating effect model regression results of the interaction term shows that the Internet penetration rate has a significant positive impact on multidimensional energy poverty. When it is increased by 1%, the multidimensional energy poverty is reduced by 9.25%.
The Impact of the Sino-US Intellectual Property Cases on the Evolution of Chinese Law and the Future Globalization Trend of Chinese Law from the Perspective of the WTO
Authors: Zhang Chenqing , Dong Zihou , Chi Junwei 
Published: June 2024

Abstract
This paper critically examines the trade relations between China and the United States, with a particular focus on the sensitive issue of intellectual property rights (IPR) trade frictions and disputes. It delves into the root causes of IPR conflicts between the two nations by analyzing IPR cases that have arisen since China acceded to the World Trade Organization. Notably, during the period from 2001 to 2016, the United States initiated a total of 243 “337 investigations” cases against China, which represents 77.66% of all such investigations targeting China. This study also considers the strategic implications of these cases and assesses the impact of the evolving IPR system in China. In 2008, China’s IPR policies were notably centered on enhancing protection, which is reflected in text mining results where the keyword “protection” emerged as one of the top eight high-frequency words, with occurrences ranging from 25 to 73. Furthermore, this analysis forecasts the future trends in China’s legal globalization, informed by the evolution of its intellectual property law.
Numerical Simulation of the out-of-plane mechanical properties of tall foam ceramic (FC) partition wall
Authors: Zhang Zhengze , Cheng Bei 
Published: June 2024

Abstract
This paper conducts simulation research using Abaqus software and Finite Element Software on the out-of-plane mechanical properties of large-scale FC partition walls. Exploring the structural columns of 1.2m, 1.8m, and 3m, respectively, in large-size FC partition walls under out-of-plane loading, the cracking pattern of wall panels, the distribution of cracks, the damage pattern, the load-deflection curve, and the weak parts of the wall panels and the weak points of the wall panels under out-of-plane loading. The simulation results of experimental software in this paper show that the three specimens meet the design requirements, have good integrity before cracking, and are interoperable with steel bone and foam ceramic. Then, the finite element models of the steel frame-embedded foam ceramic wall with different densities were established, and the influence of the density of the foamed ceramic on the out-of-plane mechanical properties of the wall was further studied. The results show that when the density of foamed ceramics increases from 400kg/cm3 to 500kg/cm3, the fracture performance is significantly improved, while when the density increases from 400 kg/cm3 to 500 kg/cm3, the fracture performance is not significantly improved. It is also found that the out-of-plane bearing capacity of foamed ceramic walls with embedded steel frames increases with the increase of foamed ceramic density, and the mid-span deflection decreases with the increase of density. However, with the rise of embedded steel frame spacing, the influence of foam ceramic density on the out-of-plane load and mid-span deflection gradually diminishes. The results of this paper can provide some guiding significance for the design and construction of large-size and story-building partition walls in the future.
Research on the Theory and Innovation Strategy of Digital Media Art Development Based on Artificial Intelligence Technology
Authors: Wang Juncheng , Zhang Jie 
Published: June 2024

Abstract
Artificial intelligence (AI) technology significantly enhances the creative capabilities and expressions of artists, playing a pivotal role in the innovation of digital media art. This paper delves into the technical aspects of digital media art expression, introducing a human-computer interaction (HCI) media art model. This model is designed to cater to the visual sensitivities of the human eye by optimizing text readability and interface color during interaction. We further enhance the interactive interface by converting the color space, applying de-blurring techniques, and mitigating the noise associated with image binarization to refine the HCI interface. The efficacy of these interventions is evaluated through practical implementations in digital media art, focusing on the application effectiveness of HCI and user satisfaction. Our experimental outcomes indicate that the noise level of the employed techniques is maintained within a narrow range of −1.5 to 1.5 dB, demonstrating minimal and consistent fluctuations that substantially improve image processing and influence the final visual output. Furthermore, in assessing user interaction satisfaction, the average user satisfaction scores for the four interactive modalities ranged between 3.316 and 3.684, indicating that most users are satisfied with the digital media art designs integrated with AI.
Human Resource Management Performance Assessment and Enhancement in Public Community Governance
Authors: Yang Lei 
Published: June 2024

Abstract
Human resource management is a more important part of public sector internal management. Based on the principles of objectivity, comprehensiveness, and significance of indicator construction, this paper constructs a human resource management performance assessment model in public community governance. It introduces the entropy weight method and TOPSIS method to comprehensively and objectively calculate the degree of influence of each evaluation indicator on public human resource management performance. Meanwhile, taking the data of public community governance in County S as an example, the vertical and horizontal comparisons of public human resource management performance are carried out to explore the corresponding public human resource management performance improvement strategies. The results of the study show that in the public human resource management of County S city, the weight of the character factor indicator is the largest (0.3801), and that of the diligence element is the smallest (0.0936), indicating that the character factor has the greatest influence on the human resource management performance of public community governance in County S city. In order to improve performance, it is recommended to promote the optimization of the management system by combining the performance management experience, as well as to continuously innovate the human resource incentive methods through multiple research.
Adaptive educational game design incorporating the psychology of early childhood development: a study of enhancing learning experiences and promoting cognitive development
Authors: Wang Jing 
Published: June 2024

Abstract
Grounded in the principles of developmental psychology, this study develops an innovative online educational game for young children titled “Fill in the Picture.” Utilizing the AppCan platform in conjunction with Photoshop technology, the game involves the automatic generation of randomly sampled, unordered point sets using network depth search algorithms. It captures the sequential order in which children connect these points onscreen to form coherent graphical representations, subsequently assessing the correctness of these connections against computer-judged standards. The effectiveness of “Fill in the Picture” was evaluated through a questionnaire survey, which revealed a weighting coefficient of 0.248 for the game’s educational quality. Additionally, it scored above 4 on various dimensions, including educational value, scientific basis, playfulness, artistic integration, immersion, and technological engagement. Importantly, in terms of pedagogical design satisfaction, 81.3% of respondents recognized that the game significantly enhances understanding and mastery of scientific concepts, while 81% appreciated the logical organization of its content. Thus, the “Fill in the Picture” game, designed and developed by integrating a tailored educational game design model based on developmental psychology, demonstrates substantial educational efficacy and user satisfaction.
Data Security and Privacy Protection in the Comprehensive Agricultural Administrative Law Enforcement Database
Authors: Song Wanqiang 
Published: June 2024

Abstract
Nowadays, cloud computing technology is developing rapidly, and cloud platforms as a new type of information service mode. The importance of its security is self-evident. This paper builds a comprehensive database for agricultural administrative law enforcement based on the cloud platform. It constructs a hybrid data encryption algorithm that utilizes the AES algorithm and ECC algorithm in parallel. The ECC algorithm uses the public key to encrypt the secret key, and after that, the AES algorithm converts plaintext data in the database into ciphertext data. Following the testing of the hybrid encryption algorithm’s security and operational performance through experiments, the database’s security and privacy performance are also evaluated. The comprehensive agricultural law enforcement database constructed in this paper is able to rapidly reduce the degree of trust in users with abnormal behavior in the monitoring of user behavior that is not conducive to data security and privacy protection and reduce the degree of user trust to 0.022 when the number of times of dynamic monitoring is 20 times, which effectively protects the data security and privacy in the database. The hybrid encryption algorithm database designed in this paper provides a reference for data security and privacy protection. It has strong practical application value in the field of comprehensive agricultural administrative law enforcement.
Application of anti-mapping security access technology in network security protection
Authors: Ma Dongjuan , Li Rui , Liu Zehui , Guo Min , Jin Xin 
Published: June 2024

Abstract
In the current era, characterized by the pervasive Internet of Everything, trillions of data points are exposed to high-level threats, presenting novel challenges to the domain of cyberspace security. This paper introduces a cybersecurity protection framework derived from the PDRR model, enriched with integrated cybersecurity measures. Utilizing a cyberspace mapping architecture that incorporates anti-mapping security access technology, we analyze the robustness of cybersecurity protections. The framework employs penetration testing queue technology to uncover vulnerabilities within cyberspace, the Hidden Markov Model to assess cybersecurity posture, and the QPSO-LightGBM model to evaluate cybersecurity vulnerabilities. To validate the efficacy of the cyberspace mapping architecture in employing anti-mapping security access technology, we have systematically conducted various experimental methodologies, including penetration testing, security posture sensing, and security vulnerability assessment. This integrated approach provides a comprehensive framework for addressing the complex challenges posed by the vast scale of data in today’s interconnected environments. The average send/receive telegram packets of the network I/O graph in the state of SYN flooding attack grows from 60 packets/sec in the normal state to 2.2*104 packets/sec, and the minimum time of security posture perception by the Hidden Markov Model is only 51.28ms. The accuracy of the QPSO-LightGBM model for network security vulnerability assessment reaches 86.58%. Fully utilizing anti-marker security access technology can improve the understanding of the threat situation in network security and enhance the protection ability.
Research on Comprehensive Evaluation Model of Supply Chain and Logistics Performance Based on Economic Management
Authors: Jiang Qiong 
Published: June 2024

Abstract
The establishment of a scientific and comprehensive comprehensive evaluation model of logistics performance is of great significance to enhance the cost reduction and efficiency of enterprises and market competitiveness. The research constructs a supply chain and logistics performance evaluation model based on supply chain management and logistics performance and performance evaluation with the help of a balanced scorecard, hierarchical analysis method, and fuzzy comprehensive evaluation method. The supply chain and logistics performance evaluation index system is then weighed and analyzed. The experimental object for investigating the evaluation effect of the constructed supply chain and logistics performance evaluation index system is Y Logistics Company. In the proposed supply chain and logistics performance evaluation index system, the weight of internal operation and customer dimension accounts for 61.2%. Y Express Company’s logistics performance evaluation from 2016 to 2020 shows a steady increase. The increase in customer dimension from 1.54 in 2016 to 9.47 in 2020 was the biggest increase among all indicators. Finally, Company Y performs better in the customer dimension, financial dimension, and internal operation, and its indicators of learning and development and social responsibility score lower. Company Y should increase its logistics digital learning and technological innovation and take the initiative to assume social responsibility.
Real-time tracking of the effect of jumping rope exercise using a wearable device
Authors: Liu Diyang , Zhang Qiang 
Published: June 2024

Abstract
With the development of science and technology, wearable devices, as an emerging field, have been gradually integrated into our daily lives and are widely used in the tracking of movement effects. In this paper, the data fusion algorithm combining complementary filtering and extended Kalman filtering and the human posture solving algorithm based on the D-H method is selected to solve the designed human jumping rope motion joint model, which realizes the construction of a wearable jumping rope motion capture system. Furthermore, the effect and commercial value of the wearable device designed in this paper for real-time tracking of jumping rope movement are tested by a single node posture test and a comparison experiment with posture solving. The experimental results show that the static test error and dynamic test accuracy of the sensor are 1.4° and 4°, respectively, which indicate that the sensor can accurately recognize the trajectory of jumping rope movements. The average values of RMSE for pitch angle, roll angle, and yaw angle were 0.37, 0.69, and 1.40, respectively. This indicates that the wearable device and the pose-solving algorithm used in this paper can meet the standard for commercial applications. This study provides a new approach to studying sports, which has rarely been done in the field of smart sports.
Meta-analysis of the Effect of Students’ Physical Activity Performance on Academic Achievement under Smart Physical Education Instruction
Authors: Ren Peng 
Published: June 2024

Abstract
With the continuous development and progress of society and the continuous improvement of educational concepts, the contradiction between physical exercise and the academic achievement of young people still always exists. In this paper, through the construction and identification of the association between smart sports and smart education in colleges and universities, we obtain the components of smart sports in colleges and universities and explore the intrinsic connection between physical exercise performance and academic achievement by analyzing the components of smart sports in colleges and universities. Literature quality was assessed by using an adapted quantitative research quality assessment tool and Meta-analysis method using Review Manager software to search six domestic and international databases to obtain a total of 3,128 documents, and 12 were finally included. The results showed that the percentage of high-quality research literature in this field was relatively low, and the 12 included high-quality literature contained a total of 3846 subjects, and the total effect size of physical activity on academic performance Z = 2.83 (SMD = 0.15, 95% CI = [0.05, 0.27]). The forest plot result shift to the right side highlights the positive impact of physical activity on academic achievement.
Feature extraction and classification of dance movements based on data mining
Authors: Sun Peng , Li Wei 
Published: June 2024

Abstract
In recent years, the expansive utilization of data mining techniques has revolutionized various fields, including the analysis of dance videos. This study leverages data mining to meticulously capture and analyze dance movements, thereby facilitating the enhancement and correction of dancers’ techniques. Within the scope of this research, images of dance movements extracted from videos are subjected to preprocessing, which involves grayscaling and thresholding, to prepare them for further analysis. Building on these processed images, this paper introduces a novel multi-feature dance action recognition approach. This method integrates several distinct features—directional gradient histogram features, optical flow directional histogram features, and audio features—employing a linear weighting scheme within a multi-core learning framework. The efficacy of the proposed approach is demonstrated through its performance on the FolkDance dance dataset, where it achieves a 3.5% increase in fusion accuracy over the traditional Dance Style Identification (DSI) method. Additionally, when compared with the Multi-Feature Learning-Combined (MFL-C) method, our approach shows an improvement of 0.6% in fusion accuracy. This research establishes a viable method for the recognition and classification of dance movements, laying a robust foundation for further inquiry and practical applications in this domain.