bluuebunny/crossref_metadata_2025 huggingface dataset:
Intelligent Contracts and the Principle of Contractual Freedom: A Classical Legal Examination in the Era of Emerging Technologies
Authors: Ni Jiahao
Published: April 2024

The development of smart contract technology has garnered widespread attention in the legal field. This study, rooted in the principle of contractual freedom, delves into the impact of smart contract technology on the expression of parties' free will and analyzes the challenges it poses to legal rules and practices. Through a comparative analysis of smart contracts and traditional contracts, this research reveals the advantages of smart contracts in terms of contract design, execution efficiency, and transparency. While smart contract technology brings innovative changes to contract law, it necessitates profound reflections within the legal community and legal practice on how to strike a balance between free will and technological developments.
An algorithm for constructing spatial vector data storage based on KD-tree and density estimation
Authors: Wang Ning
Published: April 2024

With the widespread application of spatial vector data in various fields, this paper proposes a novel algorithm for constructing spatial vector data storage. The algorithm is based on KD-tree and density estimation techniques, aiming to improve the storage efficiency and query performance of large-scale spatial vector data. The algorithm first efficiently organizes spatial vector data using KD-tree, and then performs density estimation based on the Locality Sensitive Hashing (LSH) algorithm. Algorithm optimizations for spatial partitioning are applied to the KD-tree construction algorithm, reducing the search range during queries and improving retrieval speed. By testing with Green Tide data, the algorithm based on KD-tree and density estimation demonstrates higher query efficiency and better scalability across multiple test datasets. Particularly, when dealing with large-scale datasets characterized by non-uniform data distributions, this algorithm significantly improves data retrieval speed while maintaining low storage overhead.
Experimental Study on Attention Blink of Male Sanda Athletes of Different Sports Levels under Fatigue State
Authors: Feng Shangjin
Published: April 2024

This article uses literature methods, experimental methods, mathematical statistics and other research methods to pay attention to instantaneous detection of male Sanda athletes of different sports levels under fatigue conditions. The results showed that male Sanda athletes' attentional blink phenomenon will be aggravated under fatigue state, but the position of the lowest point will not change. At the same time, excellent Sanda athletes will break away from the attention blinking phenomenon faster.
Study on the Synergistic Development of "Smart + Green" Logistics Industry in Chongqing
Authors: Sima Lin , Gu Xiaoyan
Published: April 2024

Under the background of "digital economy" and "double carbon", logistics industry, as a typical industry with high input, high energy consumption and high emission, is imperative for its intelligent and green transformation. Chongqing, located in the southwest, is an important logistics hub, and the synergistic development of its logistics industry "smart + green" is of great significance to the economic growth and high-quality development of the industry. This paper constructs the index system for the synergistic development of smart logistics and green logistics, and analyzes the development level of smart logistics and green logistics as well as the level of coupling coordination in Chongqing from 2010 to 2022 by using entropy value method and coupling coordination degree model, with the aim of providing a reference for the government to improve the logistics policy as well as the active development of the logistics industry. The study shows that the overall development level of smart logistics and green logistics in Chongqing is on the rise, and the gap between the two is gradually narrowing, and the development level is gradually changing from green logistics development to synergistic development. The development trend of the coupling coordination degree of smart logistics and green logistics is good, and the coupling coordination degree gradually develops into high-quality coordination, and the trend of the coupling coordination degree is consistent with the trend of the development level of smart logistics, and smart logistics has a stronger role in promoting the synergistic development of the two. Among the subsystems, the scale of development, transportation capacity and digitization level in smart logistics and the level of resource utilization and energy use efficiency in green logistics are the short boards restricting the coordinated development of smart and green logistics, and the coordinating role between the subsystems needs to be strengthened.
Empirical Bayes Likelihood for Distrubition Family Based on Ranked Set Sampling
Authors: Li Naiyi , Li Yongming , Huang Juan
Published: April 2024

In empirical likelihood methods, the key to constructing a likelihood function is to find a suitable weight scheme that reflects the importance of data. These weights are usually limited by some constraints. By maximizing this likelihood function, we can obtain estimates of the parameters and perform corresponding hypothesis tests, In this paper, we get the empirical Bayes likelihood test rules for distribution based on ranked set sampling. Its asymptotic optimality is obtained.
A Layered Employee Recruitment Model and Strategy Considering Value Fitness
Authors: Jiang Bin , Wang Bo , Chen Jun , Zhang Li , Zhao Qinpei , Zhang Liyun
Published: April 2024

Based on the status and role of employees at different levels in the enterprise, a hierarchical employee recruitment model (3C model) and corresponding strategies based on the perspective of values are proposed. For enterprises, rather than striving to influence and change their employees' values, it is better to choose employees who align with the company's values during recruitment. Senior managers are the leaders and leaders of enterprises, and their value orientation in business management is closely related to the long-term development of the enterprise. When recruiting, emphasis should be placed on the compatibility of values, consciously forming heterogeneity in the management values of senior team members, and improving the effectiveness of team operation; Middle level managers are the backbone of the enterprise, playing an important role in connecting the past and the future. When recruiting, emphasis should be placed on consistency of values, and their value assessment standards can be determined based on the 3V model, with appropriate consideration given to the widely recognized life values of middle level managers; Grassroots employees are the specific executors of work, and recruitment should focus on the competence of values. Enterprise values can be integrated into the competency model of the position, and comprehensive consideration should be given to specific job characteristics. The hierarchical employee recruitment strategy based on the perspective of values provides a new perspective and method for the recruitment and selection of employees from a more detailed perspective.
Analysis of Influencing Factors on Purchase Intention of Customized Products Based on Rooting Theory
Authors: Liu Kehong
Published: April 2024

As the economic level rises, it is difficult for mass products to meet consumer demand, and consumers are beginning to pursue personalized and customized products or services. Various industries have also begun to implement customized marketing strategies, but exactly what factors affect the consumer's willingness to buy, this issue deserves more in-depth discussion. Therefore, this paper conducted semi-structured interviews with 26 consumers and coded the analysis with Zagan theory, and finally obtained six factors influencing the purchase intention of customized products: self-disclosure, perceived benefit, perceived risk, self-construal, trust and attitude.
Study on the Typical Path to Cast the Chinese Nation's Sense of Community
Authors: Guo Liwan , He Ting
Published: April 2024

Binyang Cannon Dragon Festival is a comprehensive folk festival activity, which integrates the cultural characteristics of Han and Zhuang, and fully demonstrates the typical way to cast the sense of community of the Chinese nation in the new era. Through historical sources, economic, cultural and other aspects of research, to lay a solid cast of the Chinese nation community consciousness of economic foundation, spatial foundation and emotional foundation. In order to better protect, develop and inherit traditional folk customs.
CSA-Net: A Transformer-based Polyp Segmentation Network
Authors: Qi Chunkai , Di Jian
Published: April 2024

It is well known that colorectal polyps are a precursor to colorectal cancer. Accurate segmentation of polyp images from colonoscopy can assist clinicians in localizing polyp regions and reduce the occurrence of misdiagnosis accurately. Many existing methods achieve good results in the polyp segmentation task, but their extraction of global and local features is often insufficient. In this paper, we propose a transformer-based polyp segmentation network (CSA-Net) that utilizes two types of attention modules- spatial attention and channel attention-to further adaptively fuse local features with their global features. The proposed network is validated on five polyp datasets. Experimental results show that our model outperforms previously proposed models.
Analysis of the Concept of Force Majeure in the Context of the PRC Civil Code
Authors: Wang Liping
Published: April 2024

There are eight articles in the PRC Civil Code concerning force majeure. In Article 180, the concept of force majeure is defined: force majeure is unforeseeable, unavoidable and insurmountable objective events. However, in past academic discussions and practice cases, the concept of force majeure was often used in the multi-layer meaning, which is very unfavorable to the unity of the legal order. Therefore, to be able to play a guiding role in the future of the trial, this paper will seriously analyze the concept of force majeure in the context of the PRC Civil Code.
Effect of Different Outlet Structure of Axial Flow Cyclone Separator in Drying Tower
Authors: Luo Xiong , Mo Li , Xiao Shenbin
Published: April 2024

The axial flow cyclone separator used in drying tower is characterized by the diameter of the dust outlet at the tail is larger than that of the cylinder, and the dust removal efficiency is increased by a series dust outlet. The numerical analysis of its separation characteristics is carried out by using the RSM model of CFD. The results show that the separation efficiency can be increased by appropriately increasing the diameter of the dust outlet, and the separation efficiency will not change when the diameter of the dust outlet increases to a certain value. When the insertion depth of the air outlet is reduced from 150mm to 100mm, the average separation efficiency of particles with a diameter of 15-30um is reduced by 4.5%. When the insertion depth of the air outlet is greater than the width of the dust outlet, the insertion depth has no effect on the dust removal efficiency. The tandem dust outlet and parallel dust outlet have the same separation effect on small particles, and the gas flow rate is equivalent to twice the gas flow rate of a single dust outlet. The average particle separation efficiency of 1 - 30um is increased by 16.5% compared with that of a single dust outlet. The flow velocity of the tandem dust outlet is higher than that of the parallel dust outlet.
Field Independence and Dependence and High School English Reading Teaching
Authors: Li Wenyi
Published: April 2024

The English Curriculum Standards for General High Schools (2017 Edition) (hereinafter referred to as the "Standards") clearly stipulate that reading is one of the basic skills mastered by high school students, and it accounts for a relatively large proportion in the college entrance examination. At the high school level, students should develop the five basic skills of listening, speaking, reading, writing and translation, focusing on the cultivation of reading ability. Students should be able to read materials about biographies, fables, etc. With the help of dictionaries, students should be able to grasp the main facts and central ideas, and grasp the main logical clues of the material they read. Reading is a complex cognitive process. Reading is an important means of information input and a cognitive activity. Cognitive style is the preferred information processing method in individual cognitive activities, and field independence and field dependence cognitive style are the core of cognitive style. Through the discussion of field dependence and field independence cognitive style, this article analyses the differences between field independence and field dependence students’ learning behavior to explore the influence of students' cognitive style on teachers' reading teaching strategies and reading material choices, so as to improve students' reading ability.
Effects of C479W Mutation on the Structure and Function of Band 3 Protein
Authors: Lv Haiying
Published: April 2024

Band 3, or anion exchanger 1 (AE1), is one of the indispensable transmembrane proteins involved in effective respiratory processes in the human body, mainly responsible for the exchange of bicarbonate and chloride ions on the plasma membrane of red blood cells. However, the effect of related gene mutations on Band 3 ion transport is not fully understood. In this work, we used all-atom molecular dynamics (MD) simulations to systematically investigate the effects of the mutation from cysteine (C) to tryptophan (W) at site 479 in Band 3 on the structure of Band 3 and its interaction with anions. We studied the kinetics of wild-type (WT) and mutant Band 3 interactions with bicarbonate and chloride ions on the microsecond scale. The results showed that the mutation at site 479 affected the stability of Band 3 structure and the distribution of anions, and changed the affinity of anions to different parts of Band 3. These findings provide some insights into the structural and functional effects of gene mutations in Band 3 and contribute to understanding Band 3 anion exchange.
Research on Member Decision-making of Dual-channel Supply Chain with TPL Participation
Authors: Dong Ying
Published: April 2024

With the development of the Internet, more and more enterprises choose the dual-channel supply chain for the sale of goods, in which the third-party logistics service provider plays an important role. By adopting the modified hotelling model, this paper constructs a three-level two-channel supply chain model, discusses the influence of centralized and decentralized decision-making on the decision-making of supply chain members, and puts forward corresponding management suggestions.
Teachers Transformative Leadership Skills and Promotion of Inclusive Learning Environments
Authors: Wang Zhen , Rizal Dapat
Published: April 2024

This study evaluates the transformative leadership abilities of teachers and their endeavors to foster an inclusive learning environment. The findings reveal that teachers exhibit optimistic attitudes and unwavering commitment to promoting diversity through their vision, inclusive practices, student empowerment, innovative teaching methods, adaptability, and willingness to take risks. They proactively confront and challenge bigotry and preconceptions. The study establishes a robust and statistically significant association between the leadership abilities of instructors and their endeavors towards inclusivity, indicating that enhancements in leadership skills have a favorable effect on promoting inclusiveness. Suggested measures encompass extensive teacher training, allocation of resources, adaptability of curriculum, collaboration, training in cultural competence, provision of accessible materials, integration of support services, awareness of bias, and research. The purpose of these initiatives is to improve inclusive education by guaranteeing fair and equal opportunities for all pupils to receive high-quality education.
Warm, Light Smile, Timeless Humanity
Authors: Yingzi Shentu
Published: April 2024

The series of essays of "Yasha's Sketches" is a treasure among modern scholars' sketches. This paper pays special attention to the author Liang Shiqiu's life and thought trajectory, and explores and evaluates the motives for the creation of the collection, the humor and writing style, as well as the creative proposition of the collection, starting from the three aspects of style, writing style, and literary concept. Liang Shiqiu's attitude of life, which shifted from entering the world to exiting the world, prompted him to start composing small essays; the humor presented in the anthology by using a variety of techniques can be classified into three kinds, namely, laughter, bitter laughter, and ridicule, and Liang's humor is different from Lu Xun's and Qian Zhongshu's because of its warmth and generosity; and the "fixed and universal human nature" is the unifying theme of the anthology. Liang's humor" is the unifying theme of the anthology, which also influences the creation of later generations of literature.
Research on Stress Management and Coping Strategies for College Students
Authors: Jia Xiaoqiang , Chu Wenjing
Published: April 2024

This study aims to explore the current issues of stress faced by college students and their coping strategies. With the intensification of social competition and changes in the educational environment, college students are experiencing unprecedented psychological and life pressures. These pressures come from various sources, including academic pressure, interpersonal relationship stress, and job-related pressure. This study collected a wealth of data on college students' perceptions of stress and their coping mechanisms through surveys and in-depth interviews. The research found that college students employ various coping strategies when dealing with stress, and the effectiveness of these strategies varies from person to person. In addition, this study also examines the measures that universities can take to assist students in managing stress. The research findings not only provide empirical data for understanding the current psychological health status of college students but also offer valuable management and intervention recommendations for universities and society.
Traditional Rural Culture in Xinyang Tea Packaging Design
Authors: Hou Wenjie , Husaini Yaacob
Published: April 2024

Rural traditional culture is an important component of China's traditional cultural system, and has been an important supporting force for the national rejuvenation in the recent years. It has also been widely used in many industries, with the aim to promote rich cultural connotations into the development of rural traditional cultural elements. Xinyang Maojian tea, as being one of China’s most famous product, comes with various tea packaging designs that portray the richness of tea in its own traditional tea culture. Using rural cultural symbols to convey tea culture can reflect regional characteristics and tea types in most prominent way. Therefore, this study would skillfully integrate rural cultural content, combining symbol design theory and using information means to carry out Xinyang tea packaging design that can reflect the market awareness of tea and expand the popularity of Xinyang Maojian. From the perspective of traditional rural culture, this paper analyzes the packaging design of Xinyang tea, aiming at improving the publicity effect of Xinyang tea and carrying forward the traditional rural culture of Xinyang.
The Estimation of Macroeconomic Effects of Tax Cuts and Fee Reductions: An Analysis from the Perspective of Consumer Income and Expenditure
Authors: Wang Jing
Published: April 2024

This paper analyses the macroeconomic effects of China's Tax Cuts and Fee Reduction policies (TC&FR) from the perspective of consumer income and expenditure. It combines factors such as local and central government, population structure and consumption, household savings and corporate investment. The paper then draws three conclusions: firstly, that China's TC&FR reforms have had significant effects; secondly, that the reforms have had a greater impact on the younger consumer group than on the older one; and thirdly, that the goal of multiplying fiscal effects can be achieved by expanding the proportion of middle-income groups. The continuous improvement of the legal taxation and fee collection mechanism has enhanced the governance level of local governments, enabling the policies to be implemented steadily and far-reaching. Secondly, the implementation of TC&FR should focus on the young consumer group and emphasize the protection of welfare for the elderly group. This will help to achieve the goal of multiplying fiscal effects by expanding the proportion of middle-income groups. Thirdly, the difference between China and Western countries lies in China's higher per capita willingness to save. Consequently, TC&FR can be expected to perform optimally when coupled with monetary policies designed to stabilize market investment expectations.
Analysis of Undergraduate Decision-making for Further Education Based on Behavioral Economics Theory
Authors: Fang Junbo , Wang Qing
Published: April 2024

With the economic development and improvement of education in China, the scale of China's postgraduate education has become larger and larger. The choice of further education or direct employment is increasingly a major concern for most undergraduates. Therefore, this paper analyzes the different effects of irrational factors in the decision-making process of college students for further education at various stages under the framework of behavioral economics such as Prospect Theory, Psychological Account Theory, Procrastination Theory, and Herd Effect. Based on the analysis results, this paper puts forward corresponding suggestions from the school, society and the students themselves, all parties working together to guide college students to find their own career planning.
Study on the Current Situations of English Teaching Model in Secondary School based on Ubiquitous Learning
Authors: Yang Jing , Wang Hongyuan , Chen Jiahui
Published: April 2024

Based on the transformation of ubiquitous learning (U-learning) and new media, secondary school students are in desperate need of high-quality English learning resources as well as cultivation of autonomous learning. However, currently there is no mature institutional mechanism for ubiquitous learning for English, which has not effectively promoted learners’ learning. This paper attempts to survey the current status of U-learning in English teaching by applying a mixed method combining qualitative and quantitative approaches. Meanwhile, it aims to identify shortcomings and propose relevant strategies. It is expected that this study can provide practical insights and suggestions for ubiquitous learning researchers and practitioners as well.
Study on the Game of Carbon Disclosure under the Perspective of Philosophy of Science and Technology
Authors: Wu Linzhi
Published: April 2024

The society gradually pays attention to carbon information disclosure, and it is very important for human beings to pay attention to carbon information disclosure and the formulation of a series of regulations in their actions on climate issues, but some enterprise subjects ignore carbon emissions and falsely disclose carbon information based on the principle of profit maximization, which leads to the difficulty of solving environmental problems. From the perspective of philosophy of science and technology, this paper tries to study the game strategy and information asymmetry among enterprises in different situations by taking information asymmetry as an entry point through game theory and Bayes' theorem, further analyze the negative impacts of false disclosure of enterprises and the chaos caused by the tragedy of the commons, etc., and analyze and interpret them through the theory of environmental justice and environmental ethics, and finally analyze and interpret them from the aspects of reducing information asymmetry. Finally, we summarize and reflect on the aspects of reducing information asymmetry, introducing environmental system and formulating industry norms.
Shanghai Crude Oil Futures Yield Volatility Study
Authors: Cong Wenhui
Published: April 2024

Since the listing of Shanghai crude oil futures in March 2018 its market performance has gradually attracted attention. The closing price data of the futures for the period from March 26, 2018 to April 17, 2023 are selected as observations, and a GARCH model is fitted to the futures log return series to analyze the development of Shanghai crude oil futures and its future trend. The study finds that extreme events such as the New Crown epidemic and the Russia-Ukraine conflict had led to high volatility of Shanghai crude oil futures, but the volatility gradually stabilized in the context of the double cycle at home and abroad. The study compares the effectiveness of the GARCH(1,1)-T model and the GARCH(1,1)-GED model in fitting the logarithmic returns of the Shanghai crude oil futures market. the GARCH(1,1)-T model is able to better capture the asymmetry of the market volatility and the phenomenon of sharp peaks and thick tails after taking into account the distributional characteristics of the residuals. In the paper, the closing price of Shanghai crude oil futures in the next 10 days is predicted according to the GARCH(1,1)-T model, and the short-term prediction effect is better.
Cultivating Practical Skills in Dance Therapy Professionals within Vocational Education
Authors: Li Suxiang , Roberto Guzman Jr.
Published: April 2024

The concept of "Dance Therapy" originated in the field of dance therapy in the United States, integrating elements of dance and psychology, emphasizing the philosophy of unity of body and mind. Dance therapy is not only an art form but also a therapeutic method. Through dance movements, rhythm, and expression, it helps individuals explore themselves, release emotions, and enhance social and cognitive abilities. In vocational education, the training of dance therapy professionals is of great significance. They can apply the concepts and methods of dance therapy to provide effective guidance and support for patient groups, promoting their rehabilitation and healing. To cultivate professionals with practical skills in dance therapy, it is necessary to study the value of dance therapy deeply. By analyzing its functions, we can understand how dance therapy helps individuals progress in social, cognitive, and personal qualities. Therefore, training dance therapy professionals in vocational education is a task of great importance. Through research and practice, the theory and methods of dance therapy can be continuously refined, offering effective help and support to more people.
Leadership in Technology Enterprises: Theory, Practice, and Development Trends
Authors: Yuan Xiangping
Published: April 2024

This paper systematically explores the core elements, theoretical foundations, practical applications, and future trends of leadership in technology enterprises. Through a review of leadership theories and an analysis of empirical cases in technology enterprises, we elucidate the key abilities and strategies that leaders need in the face of rapid change and intense competition. In addition, we discuss the significant role of leadership in technology innovation, team building, and organizational transformation, and look forward to the possible directions of future leadership development in technology enterprises.
Detection of Rice Leaf Diseases Based on Improved YOLOv8n
Authors: Liu Xue , Zhou Shunyong , Peng Ziyang , Zhang Hangling , Hu Qin
Published: April 2024

Rice plays an important role in human food chain, but it is easily affected by related diseases in its growth, which seriously affects rice yield. At present, there are many methods to detect rice leaf diseases, but there are still problems such as large model and poor detection effect. In order to solve the limitations of traditional manual and deep learning-based models, a lightweight model based on improved YOLOv8n is proposed. Firstly, SPPD (Spatial Pyramid Pooling and Dilated) structure with different void ratios composed of GELU activation function was added to the Backbone network to increase the receptive field of the network, and Coordinate attention (CA) was combined to help the model pay attention to the characteristics of rice diseases and improve the detection accuracy. Finally, XSEPConv (Extremely Separated Convolution) is used to reduce the parameters and improve the efficiency of the model. The model was trained and tested on the self-built rice leaf disease image data set, and its mAP @0.5 reached 89.3% and FPS reached 217. The proposed SCX-YOLOv8n model is a lightweight, efficient and high-performance rice leaf disease detection model, and compared with other mainstream models, it also has certain advantages in accuracy and recall rate, which can provide an accurate and accurate rice leaf disease detection and other related fields.
Study on the Translation of Bilingual Signs of Cultural Tourism in Baoding under the Background of Global Tourism
Authors: Zhang Yiyang , Li Jinyi , Wang Fang
Published: April 2024

In the process of building a new pattern of global tourism and promoting the transformation and upgrading of tourism structure, it is of great significance to standardize the construction of bilingual signs of cultural tourism. This paper takes the tourism and cultural entertainment sections of the English Translations of Public Signs in Baoding (Trial) as the research object and comprehensively uses literature research, questionnaire survey, qualitative analysis and other methods to point out the shortcomings of the existing research on the translation of bilingual signs in Baoding. On the basis of the research, from the four dimensions of accuracy, standardization, cultural differences and humanity of bilingual signs translation, this paper analyzes some errors in the Trial, discusses the relevant translation strategies, and gives some reasonable suggestions to the government. In this case, the construction of bilingual signs in cultural tourism will be more in line with the development goals of global tourism.
Prediction of Postoperative Survival Time of Hepatocellular Carcinoma Patients Based on Machine Learning
Authors: Wang Zhiyao
Published: April 2024

The survival rate of patients with primary liver cancer after operation is very low. Accurate prediction of postoperative survival of cancer patients plays a key role in the whole treatment period, both for patients and medical staff. For cancer patients, accurate prediction of survival time can make patients have a positive and optimistic attitude when fighting against the disease, and can also reasonably plan the rest of life to realize some wishes. For medical staff, doctors can only predict the survival time of patients through their experience before, and patients' expectations for curing diseases are generally high. Accurate survival prediction can avoid the contradiction between doctors and patients. According to the difference of prognosis of patients with clinical data, medical staff can make individualized postoperative treatment plan for patients to prolong the survival time of patients. To sum up, it is necessary to accurately predict the postoperative survival time of patients through clinical data. In this paper, survival time of 437 hepatocellular carcinoma patients was divided into 1, 3, 5 years and the unbalanced data set is oversampled and shuffled. Then 784 samples are divided into training set and test set by ten fold cross validation. Six machine learning algorithms, were used to predict the postoperative survival time of patients. The performance of the model is evaluated by calculating the accuracy. The optimal machine learning model is selected and the XGboost algorithm will be further optimized by Grid Search. Finally, the survival time of hepatocellular carcinoma patients will be well predicted.
Application of Multimedia Watermarking Technology in the Field of Information Security
Authors: Bi Jiliang , Han Jing
Published: April 2024

This paper aims at comprehensively discussing the principle, methods, applications, challenges and future development of multimedia watermarking technology. In order to achieve this goal, this paper first introduces the basic concept and classification of multimedia watermarking technology, and then expounds in detail the core principles of spatial domain, frequency domain and mixed domain watermarking technology and the methods of watermark embedding and extraction. In terms of methods, this paper reveals their technical differences in robustness, invisibility and capacity through in-depth analysis of the characteristics of watermarking technology in different domains. In terms of application, the article shows the extensive application of multimedia watermarking technology in copyright protection, content authentication, covert communication and multimedia data integrity and authenticity verification through specific case analysis, highlighting its important value in the field of information security. Generally speaking, this paper systematically analyzes the principle, method and application of multimedia watermarking technology, which provides an important theoretical basis and practical guidance for further research and development in this field.
Analysis of the Business Models of Alibaba
Authors: Xia Yu
Published: April 2024

In the era of the burgeoning network economy, Alibaba, the most successful e-commerce company in China, has emerged as a pivotal player, shaping the landscape of e-commerce with its innovative business model and expansive global footprint. This paper presents a comprehensive analysis of Alibaba’s strategic evolution, technology integration, operational dynamics, and global market expansion. Founded in 1999 by Jack Ma and associates, Alibaba has grown from its roots as a business-to-business (B2B) platform to a multifaceted conglomerate encompassing business-to-consumer (B2C), consumer-to-consumer (C2C), and cloud computing services. At its core, Alibaba’s corporate strategy emphasizes long-term vision, customer-centricity, and global dominance, positioning itself as the foremost e-commerce service provider. Alibaba’s technological prowess is evident in its seamless integration of advanced communication, computing, and financial technologies, facilitating secure transactions and enhancing user experience. The company’s operational model emphasizes customer segmentation, revenue diversification, and robust logistics management, driving sustainable growth and market leadership. Furthermore, Alibaba’s strategic expansion into international markets, including Russia, Southeast Asia, India, the Middle East, Australia, and Africa, underscores its commitment to global commerce and economic empowerment. Through strategic investments and partnerships, Alibaba continues to redefine the contours of e-commerce, fostering innovation, connectivity, and inclusive growth on a global scale.
Review Of Control Methods of Dual-Output Half-Bridge LLC Resonant Converter
Authors: Sun Ruibo , Mai Jiacheng
Published: April 2024

Dual-output half-bridge LLC resonant converters are widely used in data centres, aerospace, portable electronic devices, new energy vehicles and other fields due to their superior performance of high frequency, high efficiency and high power density. This paper analyses the topology and operating principle of the dual output LLC resonant converter; introduces the traditional control methods and the new control methods in recent years. For each control method, its principle, characteristics, advantages and disadvantages are described. Finally, the future research direction and development trend of dual-output half-bridge LLC resonant converter are outlooked.
BIOCHAR IMPROVES TOMATOES GROWTH CHALLENGED WITH KHOKHRAN VIRUS INFECTION
Authors: SHAKEEL I , KHURSHID M , MANZOOR MT , ALI S , AKHTAR A , ANWAR W , MUSHTAQ Z , FAIQ M , ABBAS MT
Published: April 2024

Tomato production in Pakistan is being seriously hampered by begomoviruses. To sustain tomato production and to contribute the growing economy of Pakistan, the researchers should focus on the innovative and organic disease prevention/management options. In this regard, the utilization of biochar as a soil amendment and to activate the defense mechanism of plants against invading pathogens emerged to be a reasonable solution. In this study, biochar produced from available organic waste through pyrolysis was used to tackle the begomovirus called the Khokhran virus. Various levels of biochar were applied alongside the soil. Five treatments were used, each involving the addition of biochar to soil: only soil with no biochar served as control, then treatments with 5 and 10% Green Biochar each, as well as 5 and 10% Wood Biochar amended soil substrate. According to the results of root and shoot mass, the treatment with 5%, Green Biochar yielded the best outcome. Plants grown with Green Biochar were taller and had higher yields compared to those in other treatments. Additionally, tests including PCR assays, RNA extraction, and DNA quantification were conducted to confirm the presence of viral load in each treatment. In conclusion, 5% Green Biochar was found to be most effective against the Khokhran virus, by boosting plant growth and inducing resistance.
On Some Novel Results About Fuzzy n-Standard Number Theoretical Systems and Fuzzy Pythagoras Triples
Authors:   Faculty of Science, Mutah University, Jordan, Rashel Rashel ,   Mustansiriah University, Department of Mathematics, Iraq, Obaidi Murhaf
Published: April 2024

The main goal of this work is to study the solutions of linear congruencies in the standard and n-standard fuzzy number theoretical systems, where we present necessary and sufficient conditions for fuzzy congruence to be solvable in these systems. Also, we provide the conditions of fuzzy nilpotency and fuzzy invertibility modulo integers with many illustrated examples. On the other hand, we suggest an algorithm to generate fuzzy Pythagoras triples and fuzzy Pythagoras quadruples in the standard fuzzy number theoretical system.
Literal Neutrosophic and Plithogenic Marshall-Olkin Type II Class of Distributions with Application to Exponential Distribution
Authors:   Department of Mathematical Statistics, Faculty of Science, University of Aleppo, Syria, Danyah Danyah ,   Department of Mathematical Statistics, Faculty of Science, University of Aleppo, Syria,   Department of Mathematical Statistics, Faculty of Science, Alfurat University, Syria, Zeina Mohamed Bisher , Al-Hamido Riad K. Al
Published: April 2024

In this study, we introduce Marshall-Olkin type II class of distributions within the neutrosophic and plithogenic framework. We provide the formal expressions for the probability density function and derive the cumulative distribution function. As a specific instance, we examine the generalization of the exponential distribution in both neutrosophic and plithogenic forms according to this new class, presenting the probability density function and deriving the cumulative distribution function for this case. Furthermore, we propose an algorithm for generating random numbers based on this distribution. Additionally, we estimate its parameters using maximum likelihood and validate the results through a simulation study, demonstrating the efficiency of the calculated parameters. We also investigate the asymptotic properties, including unbiasedness and consistency.
Layout optimization scheme for coexistence of multiple coverage capabilities in base stationsBased on genetic algorithm
Authors: Huang Jinchi , Zhao Xueru , Liu Jieyu
Published: April 2024

With the development of 5G technology, communication networks have become increasingly complex, leading to a continuous growth in the number of base stations. While this has resulted in faster speeds, lower latency, and greater capacity, it has also presented a pressing issue: weak coverage points, areas with weak signal radiation from base stations. To address this challenge, this paper proposes a layout optimization scheme for the coexistence of base stations with multiple coverage capabilities, based on a genetic algorithm. The scheme considers the rational deployment of various types of base stations (represented as macro base stations and micro base stations in the paper) to improve the situation of weak coverage points. The specific steps of the optimization layout scheme include initializing existing base station coverage, calculating distances to weak coverage points, selecting new base station locations, updating data, and analyzing calculations. The final output includes the coordinates and types of new base stations needed. Through model simulation, the proposed optimization layout scheme can consider cost, coverage effectiveness, and threshold constraints while accommodating various requirements. Additionally, the scheme is highly applicable and can be integrated with computer analysis software. Finally, a dialectical analysis of the model is conducted, recognizing the flexibility and practicality advantages of the layout optimization scheme based on genetic algorithms, while acknowledging potential limitations such as overly idealistic assumptions.
Application of large language models in the field of education
Authors: Shen Shiyi
Published: April 2024

This paper delves into the application of generative artificial intelligence and large language models in the field of education, with a particular focus on the rising trend of large language models. Large language models play a crucial role in intelligent tutoring systems by accurately understanding student queries through deep learning and providing personalized responses. Case studies showcase the exemplary utilization of natural language processing techniques and reasoning engines, albeit facing challenges related to real-time processing and privacy concerns. The latter part of the paper concentrates on the application of generative artificial intelligence and large language models in curiosity-driven learning and the integration of multimodal educational systems, emphasizing the technical frameworks and challenges associated with multimodal integration. Finally, the paper provides insights into future developments, highlighting research on the potential benefits in the field of education, while emphasizing concerns related to ethics and privacy.
Integrated study of dark matter and dark energy models
Authors: Feng Haoyang
Published: April 2024

Dark matter and dark energy are used as two important concepts in cosmology to explain some of the observed phenomena in the universe. Dark matter is one of the most dominant constituents of the Universe, and it influences the structural formation of the Universe through gravity, including the formation and evolution of galaxies, clusters, and the large-scale structure of the Universe. Dark energy is believed to be one of the causes of the accelerated expansion of the Universe, and its presence explains the observed phenomenon of the accelerating rate of expansion of the Universe. Although their existence has not been directly observed, people understand through the study of the structure and evolution of the universe that they play an important role in the universe. This paper first introduces the background knowledge of dark matter and its related properties and explains the reasons why three types of models, namely WIMP, axion, and sterile neutrino, are candidates for dark matter in the light of existing observations. The paper then discusses the relevant properties of dark energy and analyses the mainstream dark energy models. For the cosmological constant mode, the fine-tuning problem and cosmic coincidence problem it faces are analysed in detail. The evolution of the dark energy equation of state from the past >-1 to the present <-1 is then explained, and this is used to introduce the scalar field model involving dynamic, the Chaplygin gas model, the holographic dark energy model, and the interacting dark energy model.
Cite space-based research on the use of artificial intelligence in the field of literature and museums
Authors: Sun Wei
Published: April 2024

In recent years, with the rapid development and application of artificial intelligence technology, image technology based on artificial intelligence has gradually become a research hotspot in the field of cultural relic restoration. This article will explore the application of artificial intelligence based image technology in the field of cultural relic and museum restoration. Firstly, the importance of restoring cultural relics and artifacts was introduced, as well as the limitations and shortcomings of traditional restoration methods. Secondly, elaborate on the development and application of artificial intelligence technology, as well as its potential and advantages in the field of cultural relic restoration. Next, we will introduce the application of artificial intelligence based image technology in cultural relic restoration, including image enhancement, segmentation, recognition, and reconstruction. Finally, the application prospects and challenges of artificial intelligence based image technology in the field of cultural relic restoration were summarized, and future research directions and suggestions were proposed.
Optimization model for multibeam sounding line deployment based on genetic algorithm
Authors: Li Hongning , Li Yuchen , Ran Yilian , Wang Yinhe , Lan Xinglin
Published: April 2024

Multibeam sounding technology is a cutting-edge method used for measuring underwater topography, widely applied across various fields. The actual seafloor terrain often exhibits significant fluctuations, leading to challenges such as insufficient coverage in shallow areas and excessive overlap in deep-water zones, resulting in inefficient operations. Rational selection of line spacing helps improve measurement efficiency and ensures data integrity. In this paper, taking the 2023 National College Student Mathematical Modeling Competition Problem B as a background, we conduct a thorough analysis of the variation patterns of the coverage width of multibeam sounding strips with respect to various parameters. We establish models for ocean depth and coverage width, determining how the strip coverage width changes with distance and the angle between survey lines in different scenarios. Finally, employing genetic algorithms and differential methods, we identify decision variables, objective functions, and constraints to formulate a nonlinear programming model. Through iterative searches, we obtain an optimal sounding line deployment plan that maximizes coverage of the target sea area while keeping the overlap rate below 20%. The calculated missed measurement error is approximately 32.774%, and the overlap rate is around 10.477%, indicating a high level of model accuracy.
Analysis of the application of artificial intelligence image processing technologybased on citespace
Authors: Tai Ju
Published: April 2024

Image processing technology has begun to be widely used in all major fields, and the update of artificial intelligence technology has also led to the progress and development of image recognition technology, which not only contributes to scientific research purposes, but also makes peoples lives more convenient. The article analyses the theoretical concepts of artificial intelligence-related technologies, the current status of the application of artificial intelligence image processing technology, and the characteristics of image processing technology, and combined with the actual situation, to explore the combination of artificial intelligence and image processing technology, so that the image processing technology can be sustained and applied to life, scientific research, industry and other fields.