bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on design and implementation of high precision imaging colorimeter system
Authors: Li Yang , Wei Yucheng , Zhou Jiankang , Jia Juncheng
Published: January 2025

As an important parameter to characterize the apparent characteristics of objects, color plays an irreplaceable role in various fields. With the increasing demand for color quality, special color detection instruments are needed to measure color quickly and accurately. However, the current traditional color measuring instrument has some limitations, it is difficult to accurately measure the color of a certain part of the complex pattern, and it is very easy to miss the image information of the object surface.With the continuous development of machine vision technology and spectrum technology, hyperspectral imaging technology came into being. The advantage over traditional color detection instruments is that hyperspectral imaging technology obtains spectral and spatial information at the same time, so as to achieve accurate color detection.In this paper, machine vision technology and hyperspectral imaging technology are applied to the field of color measurement, and a high precision imaging colorimeter system is designed and developed. Compared with the traditional three-channel color detection instrument, the system has more spectral information carried by hyperspectrum, so it can more accurately restore the true color of the item, so as to achieve high-precision color detection.
Luckin Coffee Latte: Consumption and Marketing of “Chinese Style Coffee” on Social Media Platforms
Authors: Pan Rui
Published: January 2025

The increase in Internet usage has made the public gradually proficient in using social media. One standout example of this phenomenon is the surge of co-branded drinks within the tea and coffee beverage sectors. These collaborations have successfully tapped into consumers’ desire for novelty and exclusivity, fueling purchasing enthusiasm. Among these, the “Sauce Flavor Latte” by Luckin Coffee has emerged as a groundbreaking product, capturing widespread attention and propelling the co-branding trend to unprecedented heights. This product’s success not only underscores the power of co-branding but also highlights the critical interplay of factors such as strategic partner selection, innovative product development, a deep understanding of consumer psychology, and effective social media promotion. Luckin Coffee’s collaboration with Kweichow Moutai to create the “Sauce-Flavored Latte” represents a masterclass in leveraging social media for brand amplification. By integrating cultural nostalgia with modern tastes, Luckin effectively catered to diverse consumer demographics, generating curiosity and driving massive online engagement. This case exemplifies how social media can serve as a catalyst for amplifying brand campaigns, turning a product into a cultural phenomenon. This article delves into the intricate mechanisms of social media’s role in the marketing success of the “Sauce-Flavored Latte”, providing a detailed analysis of the strategies employed. Additionally, it aims to offer innovative insights for enhancing the effectiveness of future co-branding efforts within the tea and coffee industries, ensuring sustained consumer engagement and market impact.
A Survey on the Current Status of Informatization Teaching Ability of University Teachers in Hunan Province based on TPACK
Authors: Yuan Yanling , Hu Jiaqi
Published: January 2025

Based on the TPACK theoretical framework, this study conducted a questionnaire survey among 946 university teachers across various institutions in Hunan Province to investigate the current status of informatization teaching ability among university teachers in Hunan and to propose corresponding suggestions. The findings indicate that the overall TPACK level of university teachers in Hunan Province is above average, with the levels of various dimensions ranked as follows: PK > CK > TK > PCK > TCK > TPK > TPACK. At the gender level, there are no significant differences in the various dimensions of TPACK between male and female teachers. In terms of teaching experience, the levels of PK and CK dimensions increase with the accumulation of teaching years, whereas teachers with the least teaching experience (1-5 years) exhibit the highest levels in the technology-related TK and TCK dimensions. Regarding professional differences, computer science teachers have the highest levels of TPACK and TK, while teachers in liberal arts majors have the lowest TK levels. At the educational attainment level, the levels of various dimensions increase with the enhancement of educational qualifications. To enhance the informatization teaching ability of university teachers in Hunan Province, this study proposes pathways for improvement from the perspectives of university teachers, higher education institutions, and the government.
The Role of Transformational Leadership in Organizational Innovation
Authors: Zhang Qian
Published: January 2025

This study delves into the pivotal role of transformational leadership in fostering organizational innovation. Transformational leadership, characterized by its emphasis on inspiring and motivating employees to transcend their self-interests for the collective good, is examined as a key driver of innovation within organizations. By fostering creativity, building a supportive culture, encouraging knowledge sharing, and modeling risk-taking behavior, transformational leaders create an environment conducive to continuous development and implementation of novel ideas, processes, products, or services. The study highlights the mechanisms through which transformational leadership operates to nurture innovation, including intellectual stimulation, cultivating a culture of trust and open communication, and facilitating cross-functional collaboration. Empirical evidence supports the effectiveness of transformational leadership in promoting both radical and incremental innovation across various industries. The practical implications of fostering transformational leadership within organizations are also discussed, focusing on strategies for developing transformational leaders, enhancing organizational culture, and leveraging technology and tools. Despite challenges such as resistance to change and potential burnout, transformational leadership remains a powerful catalyst for organizational success and sustainability.
Corpus-Based Contrastive Study on the Use of the Definite Article “the” between Chinese EFL learners and English Native Speakers
Authors: Dong Shuhan
Published: January 2025

“The” is a functional word of high-frequency in English. Due to its simple form, Chinese students use it extensively after they have learnt its semantic and grammatical rules, and may show different characteristics from those of native speakers. Based on the use of corpus, this paper compares texts extracted from CLEC and BNC, and finds that both Chinese English learners and native English speakers use “the” most frequently to express “specific reference”, followed by “generic reference”. There is also a feature that Chinese English learners use fixed collocations containing “the” more frequently than native English speakers do, but “the” in these fixed collocations don’t belong to its ideographic function. The enlightenment for English teaching is discussed, as well as reasons for the differences: cultural differences, mother tongue and grammar teaching.
The Role of Family Education in Shaping Gender Roles: Insights from Empirical Case Studies
Authors: Mu Yanan
Published: January 2025

This paper delves into the role of family education in shaping children's perceptions of gender roles and gender equality, highlighting the significant influence of parental gender role modeling. Despite existing research on the topic, a notable gap persists in understanding the specific impact of parental modeling on children's gender equality beliefs. The paper argues for the importance of examining the dynamic interplay of parental attitudes and behaviors in fostering gender equality. Through a review of theoretical frameworks and empirical case studies, the paper illuminates how cooperative parenting, engagement with digital media, cultural contexts, and the active involvement of fathers can significantly influence children's gender role attitudes. The findings underscore the necessity for parents to adopt cooperative strategies in child-rearing, actively engage in their children's media consumption, and embrace diverse cultural influences to foster an environment conducive to gender equality.
Economic Analysis of Coordinated Optimal Allocation of Wind Energy Storage in Parks Based on Linear Programming and Enumeration Iteration Methods
Authors: Guo Zhiwei , Xiao Guangxing , Chen Wenye
Published: January 2025

The construction of park microgrids increasingly relies on wind and photovoltaic (PV) generation as the main sources of renewable power. However, the inherent variability and intermittency of these sources often lead to a mismatch between generation and actual load demand, causing inefficiencies and resource waste. To address this issue, this paper proposes an optimized method for configuring wind power, PV generation, and energy storage systems in park microgrids. The method utilizes linear programming and iterative enumeration techniques to determine the optimal energy storage configuration, aiming to minimize electricity purchase costs and maximize the economic benefits of renewable energy. This approach covers the analysis of different operational scenarios, including independent operation, integrated operation, and coordinated wind-PV-storage configurations. The results show that integrating energy storage systems significantly reduces electricity purchase costs and energy curtailment, while enhancing the overall economic performance of park microgrids. These findings provide valuable insights for optimizing energy storage configurations and improving the economic feasibility of renewable energy integration in park microgrids.
Pathways for Curriculum Development in Ethnic Minority Region Kindergartens from the Perspective of Strengthening the Chinese Nation Community
Authors: Hu Qijuan
Published: January 2025

Strengthening the Chinese Nation Community is the path to the great rejuvenation of the Chinese nation, encompassing the construction and development of all ethnic regions. As the initial stage of the education system within the Chinese Nation Community, kindergartens in ethnic regions shoulder the responsibility of cultivating new generations capable of shouldering the mission of national rejuvenation. Starting from the perspective of strengthening the Chinese Nation Community, this study analyzes the significance and implementation pathways of curriculum development in ethnic minority region kindergartens and proposes how to scientifically and effectively integrate the Chinese Nation Community with the construction of kindergarten curricula in ethnic regions. By proposing pathways such as institutional safeguards, promoting cooperation across various platforms, updating educational concepts, and fostering teacher competencies, this study aims to construct a kindergarten curriculum in the new era that aligns with the Chinese nation, providing insights and inspiration for curriculum development in ethnic minority region kindergartens.
Flavonoid-rich extract of unripe Terminalia catappa Modulates Redox Status and Aging in Lead-Induced Neuro-genotoxic Drosophila
Authors: Mohammed Sani Jaafaru , Kasim Mohammed Zanab , Bako Hauwa’u Yakubu , Auta Richard
Published: January 2025

Terminalia catappa (Indian almond) fruit is an oval fruit in shape, growing on a large tree found mostly in the tropical region. The tree has wide health applications and benefits various African and Asian communities. However, there is little documented evidence of its effects on neuroprotection and longevity. This study explored the neuroprotective potential of the flavonoid content from the unripe fruit part of the plant against lead-induced neurogenotoxicity in a fly model (Drosophila melanogaster). Two to three days old male and female flies were harvested and used for the experiment. Negative geotaxis and flies’ pupation assays were employed for the assessment of the flies' behavior. Phase II antioxidant enzymes’ activities and their expression levels were evaluated to ascertain the redox status of the flies before and after the toxicants exposure.  Following the effective dose determination assay, 3.0 and 5.0 mg/g diets were found to be highly effective, meanwhile a concentration of 0.1 µg/g diet of lead (Pb) successfully induced neuro and genotoxicity. There was a remarkable improvement in the emergence of new and the locomotor function of the matured flies fed with the extract before their exposure to the toxic environment compared to the control group. Significant increase in the activity of Catalase, Superoxide dismutase (SOD), and Glutathione-s-transferase (GST) with concurrent reduction of AChE activity in the extract pre-fed flies. A similar effect was also recorded in the mRNA expression level of the corresponding genes when evaluated using a polymerase chain reaction (qPCR). The collective findings of the present study revealed the potential neuro and gene protection effect of the studied extract through antioxidant and antiaging enzyme activities against Lead-induced toxicity in D. melanogaster. Showcasing the potential of the fruit as a source of nutraceuticals that could improve the wellness and quality of human lives when further studied.
Optimizing accuracy rate of Detection of COVID-19: A Machine Learning approach
Authors:   Professor, Department of IT, Paavai Engineering College, Namakkal, Tamil Nadu, India, K. K. ,   Professor, Department of IT, Kongunadu College of Engineering and Technology, Trichy,    Tamil Nadu, India,   Associate Professor, Department of CSE, Knowledge Institute of Technology, Salem, Tamil Nadu,    India,   Assistant Professor, Department of CSE, Arulmigu Arthanareeswarar Arts and Science College,    Tiruchengode, Tamilnadu, India, Muthumanickam K. , Vijayalakshmi P. , Sakthivel S.
Published: January 2025

COVID-19, one of the most highly transmissible diseases in the twenty-first century, has had a profound impact on global lifestyles. Recently, the medical industry has increasingly relied on machine learning, which shows promise in anticipating the presence of COVID-19. By using machine learning techniques, test result turnaround time can be accelerated, and medical personnel can promptly attend to patients' needs. These algorithms analyze various attributes to classify COVID patients and predict their likelihood of contracting the disease. This study aims to utilize X-ray images processed by machine learning algorithms to predict the occurrence of COVID-19 and enhance its detection rate. The paper outlines two strategies employing machine learning techniques: one for predicting the likelihood of infection and the other for identifying positive cases. Different machine learning algorithms, such as decision trees, logistic regression, support vector machines, naive Bayes, and artificial neural networks, were employed. The simulation results reveal that the artificial neural networks model outperforms other methods in terms of accuracy rate.
Identification of Quantitative Trait Loci and Development of Intermediate Breeding Parent for Rice Sheath Blight Resistance
Authors: Jeon Chanjeong , Lee Eunsoo , Lee Jong-Hee , Kwon Young-Ho , Lee Yeongeun , Cho Jun-Hyeon , Kim Sung-Hoon , Oh Seo-Young , Shin Dongjin , Mang Hyunggon
Published: January 2025

The soil-borne pathogen Rhizoctonia solani is one of the most devastating necrotrophic pathogens worldwide, responsible for causing rice sheath blight (RSB). This pathogen has a broad host range, affecting economically important monocots and dicots such as rice, wheat, potato, soybean, sugar beet, and cucumber. Despite extensive screening of rice germplasm, genes that confer full resistance to RSB have rarely been identified, leading to slow progress in breeding resistant varieties. To identify RSB-resistant rice cultivars in Korea, variations in quantitatively inherited resistance have been observed. We conducted a study to visually assess the RSB resistance phenotypes of 250 cultivated varieties under natural disease conditions in the field over several years. Notable candidates included P1401, which showed resistance, while Junam was susceptible. To identify the quantitative trait loci (QTLs) associated with resistance, we developed an F2 mapping population by crossing P1401 and Junam, followed by bulked segregant analysis. These QTLs were mapped to specific locations on seven of the 12 rice chromosomes. This mapping population and the resulting datasets provide valuable resources for advancing genomic research in rice, particularly for marker-assisted breeding strategies for enhancing resistance to R. solani and other important agronomic traits.
Genetic Diversity and Genotype Distribution of Erwinia amylovora in Korea
Authors: Ham Hyeonheui , Lee Se-Weon , Lee Yong Hwan
Published: January 2025

Erwinia amylovora, first identified in 1793 in Hudson Valley (New York, USA), has a genome size of 3.7-4.0 Mb. E. amylovora bacterial strains are classified based on the infecting hosts: the Amygdaloideae-infecting (AI) group, targeting apple and pear trees, and the Rubus-infecting group, affecting berry trees. Since the AI-group strains display high genetic similarity (˃99.7%), it is challenging to characterize their genotypes. This study investigated the genetic diversity of E. amylovora isolates in Korea and the regional distribution patterns of genotypes using a multilocus variable number of tandem repeat analysis (MLVA). Four specific primers were used to amplify and sequence tandem repeats in the E. amylovora genome, and a distribution map of E. amylovora was created using MLVA genotypes. Thirty-two types of MLVA patterns were identified in Korean strains, and RV19 was the dominant type identified in all South Korean regions. According to the minimal spanning tree, genotypes were differentiated into RV7, RV14, RV20, RV22, and RV27 types, originating from the RV19 type. This finding suggests that the RV19 type, introduced to Korea for the first time, spread to other regions from Anseong-si, Cheonan-si, Chungju-si, and Jecheon-si, depending on the type. We determined the MLVA genotypes of E. amylovora isolates and distribution patterns by region from 2019 to 2023. The distribution of these genotypes by year and region provides basic information for the genetic diversity and spread of E. amylovora in Korea.
The Incidence and Genetic Analysis of Two Betaflexiviruses Capillovirus alphavii and Tepovirus tafpruni in Iran
Authors: Pourrrahim Reza , Farzadfar Shirin
Published: January 2025

Viral diseases have emerged as a serious threat to cherry trees production in Iran. To determine which virus(es) are present, three leaves from a sweet cherry tree (Qz5) with diffuse white blotch spots and deformation were subjected to high-throughput sequencing. After de novo assembly, blast analysis revealed that 12 contigs ranging from 360 to 7,433 nucleotides (nts) shared 78-96% nt identities with Capillovirus alphavii (cherry virus A, CVA) and seven contigs, ranging from 350 to 6,844 nts, shared 79-88% nt identities with Tepovirus tafpruni (prunus virus T, PrVT). During a survey, CVA, PrVT, and CVA + PrVT infections were detected in 12.6%, 5.1%, and 7.9% of 724 sour and sweet cherry samples. Phylogenetic analysis revealed that Iranian CVA was grouped into GIIIB, whereas PrVT fell into a distinct branch, which was confirmed by diversity plots. The within-population diversity was lower than the between-population diversity suggesting the contribution of a founder effect on diversification of CVA isolates. Host-specific codon adaptation analysis revealed the highest adaptation of CVA to sour cherry. This could suggest that sour cherry may be one of the closest Prunus species to wild progenitors. It raises the possibility that viruses such as CVA may have exerted evolutionary pressures influencing domestication processes. Additionally, the similarity index indicated that the common plum (Prunus domestica) may have exerted significant evolutionary pressure on CVA and PrVT. The association of CVA and PrVT was reported for the first time in the mid-Eurasian region, specifically in Iran, which represents an issue in phytosanitary certification of cherry plants.
Inhibitory Effects of Garlic Extract on Hop Stunt Viroid in Micropropagated Grapevine Plantlets
Authors: Kang Chae-Min , Jeong Rae-Dong
Published: January 2025

Hop stunt viroid (HSVd) is a major pathogen that affects grapevine health and causes substantial economic losses in grape cultivation. Many studies have been conducted to control grapevine diseases, but effective control methods after plant infections remain lacking. This study aimed to assess the antiviral potential of garlic extract, a natural substance that inhibits HSVds in grapevine plants after micropropagation. Garlic extract was diluted 1,000-fold and applied to grapevine plants, and its effect on HSVd accumulation was evaluated using reverse transcription polymerase chain reaction and digital PCR. The results showed that HSVd accumulation was significantly reduced, with an inhibition rate of 74.45%; meanwhile, higher garlic extract concentrations resulted in contamination and plant damage. Nanopore sequencing confirmed that the integrity of the HSVd genome was compromised after treatment. Furthermore, garlic extract inhibited the HSVd and promoted plant growth by enhancing shoot and root development. Additionally, inhibition of the HSVd was sustained in regenerated grapevine plants. Moreover, the garlic extract showed inhibitory effects against HSVds in natural host cucumber plants. These results suggest that garlic extract could be a cost-effective and sustainable alternative for viroid control in grapevine cultivation, providing long-term protection and broader antiviral activity across plant species.
The Insidious Threat: Assessing the Dangers and Spread of Tomato Leaf Curl New Delhi Virus
Authors: Vo Thuy Thi Bich , Tabassum Marjia , Nattanong Bupi , Qureshi Muhammad Amir , Im Hyo-jin , Parrella Giuseppe , Kil Eui-Joon , Lee Sukchan
Published: January 2025

Begomoviruses have significantly threatened many important crops worldwide, causing substantial issues for years. New viruses from this genus are frequently identified, displaying increasingly harmful traits. Among the numerous species within this group, Tomato leaf curl New Delhi virus (ToLCNDV) stands out as a particularly dangerous member due to its notable pathogenic characteristics. This virus poses a serious threat to crops, leading to considerable economic losses. Although ToLCNDV has not been detected in Korea, there is no definitive assurance that it will not appear in the future. Thus, understanding the features and mechanisms of this virus, alongside extensive research on ToLCNDV characteristics and the development of effective preventive strategies, is essential. This review underscores key aspects of ToLCNDV, stressing the risks this virus poses to agriculture. Furthermore, recent advances in breeding natural resistance in key crops are discussed, offering a foundation for improved control methods and preparedness in regions currently unaffected, such as Korea, to mitigate potential agricultural impacts should the virus emerge.
Comparative Analysis of the Teaching Organization Form Between Chinese and German Kindergartens
Authors: Guan Jiayi
Published: January 2025

Germany is the birthplace of preschool education, and after long-term development, it has formed a relatively complete advanced preschool education system. Kindergarten education is part of preschool education. Therefore, this study hopes to play a certain role in the current kindergarten reform in China by comparing the differences between the teaching organization forms of kindergartens in China and Germany, drawing on the advantages of the current kindergarten education in Germany and combining it with the local situation in China. The reasons for the difference between Chinese and German kindergartens will be analyzed from the organizational form of kindergartens. The biggest difference between German and Chinese kindergartens is that German kindergartens adopt mixed-age classes, while Chinese kindergartens adopt same-age classes. The reasons for these differences are the two countries' policies and economic and cultural attitudes. Then it compares the theoretical basis of different teaching organization forms in the two countries, analyzes the value of these two different teaching organization forms, and combines the advantages of German kindergarten education to put forward reasonable and feasible suggestions for Chinese kindergarten education.
Fortifying the Rural Frontline of National Security Education
Authors: Sun Yinbo
Published: January 2025

In todays world, the international situation is volatile, and national security issues are becoming increasingly prominent. Strengthening national security education and raising national security awareness among the public have gradually become social consensus. In recent years, major cities in China have made visible achievements in promoting national security awareness. However, we must also acknowledge that there is a lower level of national security education in rural areas. As rural areas are the fundamental units of the country, their safety and stability are crucial to the overall security of the nation. Therefore, strengthening national security education in rural areas is both urgent and indispensable. This article explores the current state, existing problems, and countermeasures regarding national security education in rural areas, aiming to propose effective strategies to solidify the rural frontline of national security education.
Analysis of Differentiated Teaching Strategies in Middle School English Education
Authors: Ma Yuting
Published: January 2025

This study examines the implementation of differentiated instruction in Chinese middle school English education, focusing on its theoretical foundations, practical applications, and implementation challenges. Through a comprehensive analysis of international practices and local adaptations, the research explores how differentiated instruction can address the growing diversity of student populations and enhance personalized learning in China's educational context. The study investigates three key dimensions: content differentiation, teaching methods, and assessment approaches, while comparing practices in developed countries like the United States and Australia with China's current educational landscape. The findings reveal significant challenges in implementing differentiated instruction in Chinese middle schools, including resource inequality, teacher capability gaps, and traditional assessment system constraints. However, the research also identifies promising opportunities by integrating modern teaching methods. It contributes to the ongoing discussion of educational reform middle school English education in China. But the findings overlook diverse educational contexts in China, highlighting the need for culturally responsive strategies to adapt international practices to local traditions and student needs.
An Initial Exploration of the Multidimensional Creative Presentation of Qiang Patterns Integrated with AIGC
Authors: Tang Ying
Published: January 2025

As one of the main settlements of the Qiang ethnic group, Mianyang City contains a wealth of Qiang culture. Qiang patterns carry the historical memories and cultural heritage of the Qiang people and are an important part of Sichuan's intangible cultural heritage. The unique national culture and tattoo art of the Qiang people is a treasure in the cultural treasury of the Chinese nation. With the acceleration of the modernization process, Qiang patterns are facing the risk of inheritance breaks and loss of skills. Therefore, in the context of today's era, it is of great practical significance and theoretical value to explore how to utilize digital technology for the protection and inheritance of Qiang patterns from the perspective of intangible cultural heritage.This paper explores strategies for the protection and inheritance of Qiang patterns in Mianyang City under the support of AIGC technology, with the aim of providing creativity and direction for the inheritance and development of Qiang patterns.
An Exploration of the Relationship Between People's Excessive Star-chasing and Lack of Love in Their Original Families
Authors: Guan Zetian
Published: January 2025

This paper reviews the reasons for young people's idol worship, mainly due to the prevalence of generalized belief in idols, people's desire to improve their self-identity and ability through star chasing, the rich and convenient channels for star chasing provided by modern market and Internet technology, and analyzes the adverse effects of lack of love in the original family on individuals and the root causes of excessive star chasing among some teenagers. Lack of love will make individuals lose the ability to obtain love, and they will receive less care than children who do not lack love in their growth, so as to analyze the root cause of the need for everyone to be loved, so some children who lack love will transfer their emotions to unfamiliar images to get some love. Excessive star-chasing will have a serious negative impact on both individuals and society, so measures should be taken against it. Subsequently, through the concept of "remote intimacy" and "i.e. intimacy", it was concluded that excessive star-chasing cannot fully make up for the lack of love in the original family, although star-chasing can bring some love to admirers to a certain extent, but people also need care from the people around them in real life.
Study on the Role and Problems of Learning Feedback in Primary School Mathematics Classroom Teaching
Authors: Liu Huimin
Published: January 2025

In education, learning feedback has received widespread attention as an important means to improve students' learning outcomes. However, implementing feedback in primary school mathematics classrooms is still insufficient. Problems such as inadequate feedback and inappropriate feedback seriously affect students' learning outcomes and the development of mathematical thinking. This paper takes primary school mathematics classrooms as the research background and systematically analyzes the current feedback status and problems. The paper also explores the causes of insufficient and inappropriate feedback, especially the impact of tight class time and insufficient teacher feedback skills. The research shows that optimizing feedback strategy is the key to improving the quality of primary school mathematics teaching. Based on the analysis results, this paper makes the following recommendations: combining clear feedback goals with inquiry-based teaching, diversified feedback methods adapted to the level of inquiry, combining precise feedback content with assessment type, adjusting feedback timing and frequency, and improving teachers' feedback skills. The application of these strategies can effectively solve the feedback problem in primary school mathematics classrooms and provide a reference for teaching reform in primary school mathematics.
Research on Russian Loanwords from the Perspective of Sociolinguistics
Authors: Li Peng
Published: January 2025

In the long process of social development, countries, regions, and ethnic groups may spontaneously or involuntarily borrow foreign words in the process of communication and collision due to practical needs such as political and economic system reform, scientific and technological development, trade exchanges, or external environmental changes. Sociolinguistics is an important means of studying the characteristics and development process of foreign vocabulary. This article employs theoretical analysis approaches to further investigate Russian loanwords within the context of established sociolinguistic theories and loanword expression theories. Through a comprehensive analysis of synchronicity and diachronicity, we can better understand the borrowing, use, and development process of loanwords in Russian. The research findings demonstrate that the incorporation of loanwords occurs unevenly across all stages of social development and sectors of society within the same timeframe, highlighting their significant influence on language and culture.
The Role and Significance of Trademark Law in Brand Value Protection
Authors: Peng Jin
Published: January 2025

A trademark, serving as a legal entity, is a distinct sign that enables to differentiation of a companys goods or services and provide information to the consumer about the source and quality of the product or service as well as guarantee their quality. This academic paper endeavors to probe into the role that trademark law undertakes in the protection and building of brands. The research is carried out by employing a doctrinal research methodology, with the study founded upon an in-depth analysis of the legal instruments that govern trademark law, along with case law and relevant academic literature. Additionally, it scrutinizes a spectrum of issues, namely cross-border infringement, counterfeiting in e-commerce sites, and new technologies. As explained in the research, trademark law is critical to brand differentiation, competitive advantage, and even revenue for firms. However, inconsistent enforcement, changes in market characteristics constitute some of the challenges experienced. As for the conclusion, the study calls for the alignment of international trademark laws and the subsequent approaches to digital markets to guarantee effective brand security.
The Copyright Protection of Artificial Intelligence Generated Content under the Background of Big Data
Authors: Duan Xiaomin
Published: January 2025

With the rapid development of artificial intelligence, it has been widely used in all aspects of life. However, the relevant legal issues caused by artificial intelligence are also increasingly prominent. Among these legal issues, the protection of copyright of Artificial intelligence generated content (AIGC) has become a hot topic from all walks of life. People mainly focus on whether AI should be protected by copyright. This paper argues this problem on two sides. On one hand, this paper will introduce the legitimacy of the copyright protection of the AIGC including institutional suitability (taking Chinas first AI infringement case as an example) and theoretical legitimacy. On the other hand, this paper takes the feasibility of copyright protection of AIGC in consideration, which is divided into three parts: The suitability of the object, the suitability of the subject, and the attribution of rights. This paper also introduces three different methods to the attribution of AIGC copyright, including virtual legal personality theory, artificial intelligence programming designer for the author theory, and AI programming designer and users for the co-author theory. In conclusion, this paper firmly suggests that the AIGC should be protected by copyright.
Social Factors Contributing to Juvenile Delinquency and Its Impact
Authors: Zhang Yichen
Published: January 2025

Nowadays, the issue of juvenile crime, a hot social issue, has received widespread attention, but there are still shortcomings in comprehensive governance and prevention of juvenile criminal behavior. This paper analyzes the social factors that lead to juvenile crime, concluding that juveniles will commit criminal acts due to negative family environments, subjective and objective socioeconomic status, and inadequate education. In light of this, the paper offers the following suggestions: Create a good family atmosphere at home, parents and children should learn to think from each other's perspectives and strive to build mutual understanding and tolerance between them; Improve the overall quality of teachers in schools, maintain the physical and mental health of every student, and set up a platform for psychological treatment so that professional teachers can take care of the students' mental health problems promptly; Establish a good social governance and safety management system, and do good law-abiding work for juveniles.
Construction of Positive Aging Image of Elderly People in Music Performance Short Videos: A Study of Grounded Theory Based on Audience Comments
Authors: Wu Jingjing , Raj Sumathi Maniam
Published: January 2025

This study aims to construct an image model of positive aging through short videos of musical performances by older adults. Based on the rooted theory approach, the study used the audience comments on the Jieyin platform as the data source. After three coding sessions, six core dimensions of the image of positive aging were finally distilled: musical talent, cultural heritage, vigorous vitality, spiritual fulfillment, social capital, and social and family support. Research has shown that musical talent is the basis for the functioning of the other dimensions, cultural heritage reflects the important role of older people in the continuation of social values, vigorous vitality is the presentation of the positive external image of older people, spiritual fulfillment represents the pursuit of the inner spiritual world and the experience of happiness, and social and family support enhances the psychological security and emotional belonging of older people participating in musical activities. The six dimensions support each other, and they build a positive aging image of the elderly. This study enriches the application of rootedness theory in the field of aging research, reveals the important role of music in promoting the mental health, social integration, and cultural inheritance of the elderly, and provides theoretical references and lessons for research and development related to active aging.
Applications of Implantable Microelectrodes in Brain-Computer Interfaces
Authors: Wu Fangzhi , Li Ruier , Yue Xiang
Published: January 2025

Implantable microelectrodes represent a crucial advancement in Brain-Computer Interfaces (BCIs), enabling a wide array of applications across neuroscience and clinical domains. This paper presents a comprehensive overview of implantable microelectrodes, and three kinds of microelectrode arrays are explained in detail. The paper also deals with the integration of microelectrodes with BCI, with an emphasis on critical areas such as neuromodulation, including deep brain stimulation and neural feedback control, motor recovery, and three varieties of clinical applications in people with Parkinson's disease, epilepsy and amputees. Additionally, this work delves into the advanced hardware enhancing application of Implantable microelectrodes. This includes the development of microelectrode arrays, closed-loop systems, and the latest materials and microfabrication techniques. Despite the challenges in data processing, managing immune responses, and optimizing electrode-tissue interfaces, implantable micro-electrodes offer tremendous potential for advances in neuroscience, medicine, and rehabilitation engineering, paving the way for enhanced understanding and treatment of neurological disorders.
Interactive Automatic Travel Schedule Generation Based on Blog and GPT information
Authors: Xiang Guohao , Huang Xinyan , Zhao Meilun
Published: January 2025

With the growth of population and economic development, tourism has become a popular activity. In this case, we have to know the importance of making a plan. However, making plans through various kinds of traveling applications and social media makes it difficult to identify information reliability and choose a suitable route for the journey. So we designed WonderTrip, an applet to be a plug-in program that appears in the form of a plan on the article browsing interface of social media platforms. Further, we used Figma, UI design software, to build our project. Through the combination of frames and text, we allocated pages in order to ensure the operation of the program. This applet is designed to have no advertisements or viruses, providing the simplest way of ordering tickets and checking out the recommended attractions. At the same time, providing schemes for people who don't want to take the time to make their own travel plans.
Cluster Detection and Centers of Mass Prediction in Images
Authors: Xu Haoxi , Wang Yiding , Hou Shifan , Wei Shichen
Published: January 2025

This paper provides an exhaustive evaluation of different algorithms for the accurate detection and localization of dense clusters on complex image data with a resolution to maintain real centroids in obscure, overlapping, or densely packed situations. Our approach differs by its use of the local maximum algorithm to quickly identify potential cluster centers (by detecting local maxima in pixel intensity) as a first step. The algorithm starts by initializing cluster centers, which are then refined using the k-Means clustering method that iteratively relocates the positions of these clusters until an optimal configuration is reached. We tighten our approach by adding custom loss functions to Convolutional Neural Networks (CNNs) that encode the predicted number of clusters and their center positions. An early stopping mechanism is introduced to mitigate the issues of noise and overfitting, with performance measured against a test set. Furthermore, we examine the average pooling and center-of-gravity approaches for noise reduction to predict cluster centers without unnecessary outliers. This combination, along with the Hungarian algorithm, which is used to optimally match predicted and real centers, has shown better results in detecting the correct number of clusters across different datasets. These validation results show that our combined method effectively addresses challenges related to overlapping clusters, increasing robustness and accuracy in identification. The approach seems to have potential for applications in high-precision image segmentation and analysis.
Machine Learning for Prediction and Risk Assessment of Landslides
Authors: Zhou Xinyu , Wang Jingrui , Tian Linghao
Published: January 2025

Landslides pose a serious threat to human life and can cause substantial economic losses. It also consumes a lot of time and energy to deal with landslides. In order to address the occurrence of landslides, it is important to predict the probability of land- slides and assess the risk level. Since the occurrence of landslides is based on many factors, it is impossible for people to make an accurate judgment. Therefore, it is the best choice to train machines to help people to make predictions and risk assessment. In this paper, we discuss how to predict the occurrence of land- slides through random forests and assess the risk level according to the water content of the soil. The results show that the accuracy of prediction by Random Forest is very high. We will also predict future changes in soil moisture content to update the risk level assessment for real-time monitoring.
CapsoAn LLM-Based Verbal Aphasia Assistance APP
Authors: Dai Shangbin , Peng Yixiao , Chen Kaiwen , Lyu Hengzhi
Published: January 2025

The increasing prevalence of verbal aphasia, exacerbated by the rise of digital communication and internet slang, has highlighted the need for innovative solutions to assist individuals with this condition. In response to this demand, we have developed Capso. This advanced application leverages cutting-edge AI technology, specifically the LLaMA 2 & BLIP-2 language model, to generate personalized and stylistically diverse captions from user-provided images. By addressing the challenges of verbal aphasia, Capso not only aids in communication but also enhances the users ability to express themselves creatively on social media. This paper discusses the design principles, user workflow, and the technological core of Capso, ultimately demonstrating how it stands within the broader landscape of AI-driven aphasia interventions. The potential future enhancements of Capso underscore its promising role in the ongoing evolution of digital tools for aphasia therapy.
PactPal: GPT-Driven Legal Contract System
Authors: Wang Xiaoyi , Wang Jinxuan
Published: January 2025

Whenever an ordinary person is called upon to draft a contract for the first time they may be perplexed. In this regard, we have taken advantage of ChatGPTs ability to consider the particulars of the situations that its clients are in to be able to give them information and advice on the law and to assist laypeople in creating their contracts. This paper presents the design and implementation of the PactPal system, a generation and legal contract management tool based on ChatGPT. Through the incorporation of artificial intelligence, the system presents an enhanced approach to contract generation whereby legal contracts that fulfill the needs of the user can be developed in a short time. We created both medium and high-fidelity prototypes; we improved the user interface, contract generation, and customization options step by step. Based on the user testing, it was found that PactPal enhances the drafting of contracts, minimizes the occurrence of errors in the process, and is a smart tool for legal contract management in the future.
Function and Accuracy of Neural Network Based on Different Hyper-parameters
Authors: Chen Siyuan , Guo Yijin
Published: January 2025

This study explores the application of deep learning in image classification, with a particular focus on the overfitting problem and its solutions. The performance of Convolutional Neural Network (CNN) and Fully Connected Neural Network (FCN) in animal image classification tasks was compared experimentally. Experimental results show that the CNN model has higher accuracy and robustness than the FCN model when dealing with practical challenges such as diversification, illumination variation and image blurring. In addition, this study also explored the effects of early stop and dropout techniques in reducing overfitting, and found that an appropriate dropout ratio can significantly improve the generalization ability of the model. Finally, the generalization ability of the model is verified by testing on the Stanford pets image dataset, and suggestions for future research directions are put forward.
AI-HR: An Approach to Improve Performance of Large Language Model in the Pre-screening Process
Authors: Du Congrui , Cheng Yucheng , Wang Liheng , Fan Yile
Published: January 2025

This paper introduces the development of an HR-assisting website designed to streamline the pre-screening process using large language models. We improved the GPT APIs performance through Chain-of-Thought prompting and tailored evaluation rubrics to provide more detailed and accurate assessments of job candidates. We also conducted some experiments to investigate some ethical concerns, such as bias in the recruitment process. Based on the test results, we tried to formulate a strategic approach using GPT-4o mini to enhance fairness and inclusivity in the evaluation process.
Adaptive Travel Solutions: The Role of ChatGPT in Dynamic Itinerary Generation
Authors: Wang Junru , Lin Yange , Chen Tianxin
Published: January 2025

This study discusses the integration of ChatGPT into a personalized travel advisor platform. Currently, travelers face an overwhelming amount of information when planning their trips, which can diminish the enjoyment and effectiveness of travel preparation. To address this issue, we designed an AI-powered travel advisor that generates tailored itineraries based on user inputs, such as destination, budget, and preferences. The development process included user research, low-fidelity prototyping, and usability testing. In this paper, we explore whether incorporating AI into travel planning can enhance user experience and improve the efficiency of trip preparation. With the real-time responses generated by ChatGPT, users can receive more dynamic, relevant, and personalized travel plans compared to traditional search engines. This approach not only simplifies the travel planning process but also provides a more engaging and intuitive user experience.