bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Analysis of Foldable Structures based on the Finger Exoskeleton Joint
Authors: Wang Jie
Published: January 2025

A Mechanical Finger exoskeleton is a device designed to enhance or restore the function of a finger. With the advancement of science and technology, especially the development of robotics and biomedical engineering, such devices show great potential in the fields of rehabilitation medicine, industrial applications and human-computer interaction. For example, enhancing or restoring human function through wearable mechanical devices, especially in assisting the disabled, improving rehabilitation efficiency and military applications, shows great potential. In this paper, we will use solid works to conduct 3D modeling and Matlab coding to briefly elaborate the folding structure design and analysis of the mechanical exoskeleton finger joint. This study reveals the relevant models and simulations of the mechanical finger exoskeleton, which can increase the bending and stretching of the finger within the natural motion range and improve the flexibility characteristics. It can be adjusted according to the specific situation of patients, reduce medical costs, in the field of robotics itself, improve its flexibility and adaptability, improve task execution efficiency, convenience, lightweight and so on for most fields are a big advantage
Microstructural Characteristics and Mechanical Properties of Welded Joints and Base Material of Ultra-Supercritical Pipelines Before and After Service
Authors: Jiang Haifeng
Published: January 2025

This study investigated the microstructural evolution and mechanical property degradation of ultra-supercritical welded joints and base material (HR3C steel) before and after service. Mechanical property tests, including tensile and impact property tests, were conducted. The results show that the tensile strength, yield strength, elongation, and impact properties of the welded joints and base material after service were lower than those of unserviced specimens. Furthermore, optical microscopy, scanning electron microscopy, and transmission electron microscopy were used to observe the welded joint and base material specimens before and after service. In the initial state, the welded joints and base material had an austenitic microstructure and a diffusely distributed strengthening phase with the composition NbCrN. Moreover, high-temperature exposure led to precipitation processes. After service, Cr-rich M23C6 carbides with a chain-like structure precipitated near the grain boundaries of the welded joints and base material, leading to the aggregation of voids at the grain boundaries. This indicates that the coarsened M23C6 carbides at the grain boundaries negatively affect grain boundary strength, which is the main factor causing the reduction in steel plasticity and toughness. In addition, NbCrN mainly precipitated inside the grains, accompanied by dislocation pinning. The inhibitory effect of the dispersed particles on the dislocations allows the steel to maintain strength properties comparable to the initial state after service. However, the gradual deposition of NbCrN eventually degraded the strength properties.
Exploring the Artistic Evolution and Cultural Expression of Modern Nomadic Transportation Tools
Authors: Chaolumen  , D. Sereeterdorj  , M. Molomjamts
Published: January 2025

This article investigates the artistic and cultural significance of wooden carts within nomadic transportation. By examining both traditional and modern iterations of these carts, the study traces their design evolution in response to changing environmental, social, and technological factors. The wooden cart, as a key element in nomadic life, reflects not only the practical needs of nomadic peoples but also their cultural expressions and adaptations to diverse landscapes. This paper explores how these carts, as utilitarian objects, have carried rich cultural meanings across generations, becoming symbols of resilience, mobility, and resourcefulness. The study also looks at the broader context in which these carts were developed, analyzing how shifts in natural environments, societal structures, and technological advancements have influenced their design and use. Through an examination of their aesthetic features-such as form, structure, and ornamentation-the article reveals how wooden carts embody both utilitarian function and artistic expression. Additionally, the symbolic meanings attached to these carts, such as their connection to nomadic identity and community, are explored in relation to the ways nomads interact with and adapt to their surroundings. Ultimately, this paper aims to offer a deeper understanding of nomadic culture by focusing on the role of transportation tools like the wooden cart in preserving and transmitting cultural knowledge, while highlighting the ways in which these tools evolve over time to meet the needs of their users.
Effectiveness of Two Kinds of Traditional Chinese Mouthwash on the Oral Anaerobic Bacteria and Volatile Sulfur Compounds
Authors: Wu Kang
Published: January 2025

Objective To evaluate two kinds of traditional Chinese mouthwash on the anaerobic bacteria of oral cavity and levels of the volatile sulfur compounds. Methods A dual-center, randomized, double-blind, controlled clinical trials lasted for one month was adopted. A total of 60 subjects was selected and randomly allocated in three groups—Xipayi group, Jinzhi Jieyin group and placebo group. Recordings were assessed at the baseline, two weeks and one month. They included the changes of the volatile sulfur compounds and bacteria of the oral cavity. Results: At the two weeks and one month, the Xipayi group and Jinzhi Jieyin group resulted in a significant reduction in the VSCs scores. And the two groups got a greater change in comparison to the placebo group (P < 0.05). At the same time, the Xipayi group and Jinzhi Jieyin group resulted in a significant reduction in the total anaerobic bacteria of oral cavity. The changes of the two groups were more than the placebo group (P<0.05), whereas no significant reduction was observed between the two groups. Conclusion The Xipayi group and Jinzhi Jieyin group are effective in the treatment of the VSCs and the anaerobic bacteria of oral cavity.
Causal Relationship between SLE and Chondromalacia patella-a two-sample Mendelian Randomisation Study
Authors: Ma Hanjun , Zhao Shibo , Liao Ju , Liu Mingxuan , He Zonglong , Lu Changwei
Published: January 2025

Systemic lupus erythematosus (systemic lupus erythematosus, SLE) may affect the development of chondromalacia patellae (CMP) through immune mechanism; in order to investigate the causal effect between SLE and chondromalacia patellae, genome-wide association study (GWAS) was conducted in a large European population. GWAS), mutually independent loci associated with SLE and chondromalacia patellae respectively were extracted as instrumental variables (SNPs), and three Mendelian randomisation (MR) analyses were applied to investigate the causal relationship, i.e., inverse variance weighting, weighted median and MR-Egger. To verify the robustness of the results, heterozygosity was used. To verify the robustness of the results, sensitivity analyses were performed using heterogeneity, multiplicity tests and the "leave-one-out" method. The results of the inverse variance weighting method showed that the OR (95% CI) between SLE and chondromalacia patella was 1.152 (1.063-1.248), P= 0.535E-03, indicating a causal relationship between SLE and chondromalacia patella. The results of this study all passed the heterogeneity and multiplicity tests and the sensitivity analysis results also showed reliable results. In this study, using two-sample MR analysis, SLE was found to be a risk factor for chondromalacia patella from a genetic point of view, and patients with SLE should be prevented or detected and treated early for chondromalacia patella. [Abbreviations] SLE = systemic lupus erythematosus; GWAS = genome-wide association study; IVW = inverse variance weighting; MR = Mendelian randomisation; SNP = single nucleotide polymorphism
The Practice and Exploration of AI Empowering Ideological and Political Education from the Perspective of Contemporary China
Authors: Zhang Hui , Zhao Fei
Published: January 2025

The rapid development of artificial intelligence (AI) has an increasingly obvious impact on English teaching in China. Taking the teaching design of Unit 1 The Mission of Chinese Youths in the English Reading and Writing Course of Understanding Contemporary China (Volume 1) as an example, this paper implemented the teaching concept of "learning-centered and output-oriented", strived to reflect the teaching principles of AI empowering curriculum ideological and political education, integrating learning, and cultivating abilities, and explored how to help students truly understand contemporary China, master Chinese discourse, cultivate multiple abilities, and realize their youthful ideals under the new curriculum model.
Research on the Interactive Translation Teaching Model of College English from the Perspective of the Constructivism Theory
Authors: Yu Kexin , Ni Jincheng
Published: January 2025

The purpose of this study is to explore the interactive translation teaching model and its usage. The constructivist learning theory emphasizes that learners construct knowledge models and strategies through active participation and collaboration in social and cultural interactions. In this study, scale surveys and interviews were used to examine the meaning and use of the Interactive Translation Teaching Model (ITTM) among the college students. Scale surveys were used to assess students' attitudes towards the interactive teaching model and the degree of its usage, while interviews were used to explore students' perception of related teaching models. It is found in this study that the interactive translation teaching model plays an important role in improving college students' English translation competence, and students show positive attitudes towards this student-centered teaching method, which emphasizes interaction and collaboration, and believe that it helps to improve translation skills and stimulate interest in English translation learning. In addition, the study points out that teachers should flexibly combine the traditional and modern teaching methods to meet students' individual learning needs, thus enhance the teaching effects of English translation competence.
Museum Education in the Digital Age: The Impact of Digitisation on the Aesthetic Experience
Authors: Gao Yangxue
Published: January 2025

This paper explores the impact of digitisation on aesthetic experiences in museum education. Digital technologies like VR, AR, and interactive multimedia have redefined traditional aesthetic interactions, offering immersive, multi-sensory experiences. The advantages and challenges of these innovations are examined through case studies, including their potential to privatise aesthetics and reinforce cultural capital inequalities. The article highlights the role of critical pedagogy in addressing these challenges, promoting critical engagement and shared experiences. While digitisation enriches aesthetic possibilities, it also demands thoughtful integration to balance innovation with inclusivity in museum education.
A Survey on Deep Domain Adaptation
Authors: Li Zhaoxin
Published: January 2025

In the practical implementation of deep learning, challenges such as a heavy reliance on large datasets, high costs associated with data annotation, and significant computational resource consumption can lead to issues like incomplete datasets and inaccurate annotations. These factors negatively impact the model's generalization capabilities and overall performance. To address these concerns, recent research has increasingly focused on adaptive technologies. Domain adaptation seeks to transfer abundant labeled information from a source domain to an unlabeled target domain, thereby tackling the decline in machine learning model performance when faced with varying data distributions. By fine-tuning and optimizing models, it is possible to bridge gaps between different domains or scenarios effectively; this allows for leveraging knowledge from the source domain to better align with the characteristics of the target domain. Consequently, this approach reduces training and annotation costs while enhancing both accuracy and robustness in real-world applications. This review intends to thoroughly investigate the distinct contributions of two specific techniques: Joint Adversarial Domain Adaptation, and Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. Through this examination, we aim to uncover strategies for more effectively addressing challenges posed by limited data availability, high expenses, and substantial computing resource demands in deep learning by generating similar high-quality data that further minimizes discrepancies between source and target domains ultimately leading to marked improvements in model adaptability and generalization abilities while facilitating efficient deployment and performance enhancement of deep learning technologies across various practical application scenarios.
Characteristics and Attribution Analysis of Baseflow Variation in the Ganjiang River Basin from 1980 to 2019
Authors: Deng Yueping , Liu Yuanqing , Wu Yanping , Chen Jing , Sun Jin , Liu Bo
Published: January 2025

This study delineates the baseflow processes in the Ganjiang River Basin using daily streamflow data from 1980 to 2019, and analyzes the variations in baseflow depth and the Baseflow Index (BFI) over the past 40 years. The trends, abrupt changes, and persistence of these parameters were examined. The contribution rates of climate change and human activities to baseflow variations were identified using the elasticity coefficient method. The results indicate that the baseflow processes separated by the three-digital filter method align well with the actual daily baseflow dynamics in the Ganjiang River Basin. Over the past four decades, both baseflow depth and BFI exhibited an insignificantly increasing trend with persistence. The baseflow depth is unevenly distributed within the year, predominantly in spring and summer, while BFI is higher in autumn and winter. The years of abrupt change for baseflow depth and BFI differ, with the former occurring earlier than the latter. Compared to the period of 1980-1991, human activities had a greater impact on baseflow depth during 1992-2019, while the influence of climate factors decreased. The average annual baseflow depth increased by 65.31 mm from 1992 to 2019 compared to the period of 1980-1991, with climate change being the primary contributing factor, accounting for 65.14% of the increase. Among climate factors, precipitation was the main contributor. Human activities contributed to a baseflow depth change of 22.77 mm, accounting for 34.86% of the total increase.
Research on the Aesthetic Value of Texture Language in Oil Painting
Authors: Shi Xiaoli
Published: January 2025

As one of the important visual languages in oil painting, calligraphy not only represents an aesthetically pleasing medium but is also an important medium for artists to express emotion and thought varieties have been revealed as well. By analyzing interpretation, mode of expression, aesthetic qualities, and the use of textual language in oil painting, this study aims to show how text enhances the artistic expression of oil paintings, it increases their aesthetic value, and gives rise to new developments in oil painting. The findings suggest that texture language extends beyond formal aesthetics, and is a visual representation of emotion and thought, which carries deep artistic and cultural significance.
Evaluation of Efficacy and Safety of Neoadjuvant Chemotherapy in Pregnancy Complicated with Cervical Cancer
Authors: Pan Hongxia , Ji Jianying , Xiang Lingyuan , Chen Shengcai
Published: January 2025

This study focused on the special clinical context of pregnancy with cervical cancer to comprehensively evaluate the efficacy and safety of neoadjuvant chemotherapy. Through the analysis of relevant cases and comprehensive studies, the role of neoadjuvant chemotherapy in controlling tumor progression and improving the survival rate of patients during pregnancy was discussed, and the adverse effects of chemotherapy on mothers and infants were closely paid attention to, including potential risks to fetal development, physical conditions of pregnant women and pregnancy outcomes. Comprehensive indicators and data to provide scientific basis and reference for clinical treatment decision-making, in order to achieve the best treatment effect and maternal and child safety protection.
Integrating Professional Skills with Ideological and Political Education-Design of a Photography and Videography Teaching Model Based on the Zone of Proximal Development Theory
Authors: Zhao Jiongguang
Published: January 2025

This paper explores an ideological and political teaching model for vocational college photography and videography technology courses based on the theory of the Zone of Proximal Development (ZPD). With the development of digital media technology, the importance of photography and videography in vocational education has increasingly become prominent. It not only requires students to master professional skills but also fosters their aesthetic appreciation and creative expression abilities. This study integrates ideological and political education into photography and videography courses to enhance students' professional skills and their understanding of socialist core values. Through empirical research, we found that this teaching model effectively enhances students' professional skills and ideological qualities. However, issues such as differences in student participation, limitations of the feedback mechanism, and the inadequacy of the evaluation system persist. In the future, we aim to further optimize the teaching model, refine student grouping, develop more effective feedback mechanisms, and establish a more scientific and reasonable evaluation system. These improvements aim to cultivate more highly skilled technical professionals with strong ideological and political literacy.
Study on the Long-term Mechanism of Talent Support and Educational Innovation in the Development of New Quality Productivity
Authors: Li Yingmei , Kuang Shenghua , Dong Tuanxin , Zhong Feng , Wu Gan , He Dongjin
Published: January 2025

With the rapid development of new quality productivity, talent support and educational innovation have become key factors in promoting economic and social progress. This dissertation comprehensively utilizes theoretical analysis and case study methods to explore the talent support system and the long-term mechanism of educational innovation in the development of new quality productivity. It is found that a scientific and reasonable talent support system can effectively improve the overall level of basic research talents, while educational innovation is crucial for cultivating talents adapted to the development of new quality productivity. The paper puts forward a series of policy recommendations, including optimizing the talent cultivation system, strengthening talent attraction and retention, promoting the deep integration of education and industry, constructing a long-term education assessment system, promoting education equity and inclusiveness, and strengthening international cooperation and exchange. At the same time, the paper also points out the limitations of the study and provides an outlook for future research directions, including cross-cultural comparative research, long-term impact assessment, demand-side analysis, policy implementation research, technology integration research, and integration of the Sustainable Development Goals (SDGs). This study provides insights for understanding and promoting talent support and educational innovation in the development of new quality productivity, and provides theoretical basis and practical guidance for related policy formulation.
Preface: 6th International Conference on Materials Science, Resource and Environmental Engineering (MSREE 2024)
Authors: Liu Qingwei , Jefferson Willie
Published: January 2025

This proceeding includes original and peer-reviewed research papers from the 6th International Conference on Materials Science, Resource and Environmental Engineering (MSREE 2024: http://www.msree.org), held on December 16-17, 2023 in Xi'an, China.
The MSREE 2024 conference had three main topics: 1. Material Science and Engineering Applications; 2. Energy Science and Power Engineering; 3. Resource and Environmental Engineering. The aim of MSREE 2024 is to provide a platform for researchers, engineers, and academicians, as well as industrial professionals, to present their research results and development activities in materials science, energy technology, power engineering. It provides opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration.
By submitting a paper to MSREE 2024, the authors agreed to the review process and understood that papers undergo a peer-review process. Manuscripts were reviewed by appropriately qualified experts in the field selected by the Conference Committee, who gave detailed comments and-if the submission was accepted the authors would submit a revised version that took into account this feedback. All papers were reviewed using a double-blind review process: authors declared their names and affiliations in the manuscript for the reviewers to see, but reviewers did not know each other’s identities, nor did the authors receive information about who had reviewed their manuscript. The Committees of MSREE 2024 invested great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit.
Qingwei Liu, Willie Jefferson
Xi’an, China
Research and Practice on Application Oriented Undergraduate Colleges Serving Local Economic Development: A Case Study of Guangxi Normal University of Science and Technology
Authors: Wang Weisong , Sun Wenjing
Published: January 2025

Local applied undergraduate colleges, as an important component of regional economic development, have played an irreplaceable role in serving local economic development. This article takes Guangxi Normal University of Science and Technology as an example to systematically explore how applied undergraduate colleges can enhance their ability to serve the local economy from three aspects: current situation, problems, and countermeasures. Research has shown that strengthening collaborative cooperation with local economies, improving talent training models, and enhancing technological innovation capabilities are key paths for universities to better serve local economic development.
ESG Rating Divergence and Stock Mispricing
Authors: Deng Jiayu
Published: January 2025

With the development and popularization of the concept of sustainable development, more and more investors have begun to use corporate ESG performance to measure the long-term development ability of enterprises, but due to the existence of different evaluation systems among different rating agencies, which has led to the emergence of ESG rating divergence. Against the background of widespread ESG rating divergence, this paper aims to investigate the impact of ESG rating divergence on the level of stock mispricing in the capital market. Through empirical research, it is found that, first, the greater the corporate ESG rating divergence, the greater the level of stock mispricing; second, this paper examines the path of the impact of ESG rating divergence on the level of stock mispricing. The findings show that the expansion of ESG rating divergence promotes the stock mispricing level by reducing the rational investor-institutional investor shareholding path. Meanwhile, when the nature of corporate ownership is state-owned enterprises, the more depressed investor sentiment, and the worse corporate ESG performance, the stronger and more significant the contribution of ESG rating divergence to the level of stock mispricing. Finally, this paper demonstrates the robustness of the research findings by the method of replacing the evaluation indicators of ESG rating divergence and stock mispricing level. This study not only confirms the negative impact of ESG rating divergence on the capital market, but also provides ways and means to improve the pricing efficiency of the capital market.
Ethnobotanical exploration of wild plants used by people of Outer Seraj Region of Kullu District of Himachal Pradesh, India
Authors: Nisha  , Lata Swaran
Published: January 2025

The objective of the study was to document the indigenous knowledge and traditional uses of plants used by the local communities residing in the outer Seraj region of the Kullu district of Himachal Pradesh. The methodology employed for the study involved extensive field surveys, ethnographic interviews and interactive sessions with local communities. This study witnessed use of 177 plant species being utilised by local communities for various purposes. The utilisation of species other than medicinal purpose includes fuelwood (39), edible purpose (34), fodder (19), religious (17), handicrafts (13), veterinary (8), insecticidal (8), timber (5) and agriculture implements (3). An assessment of conservation status (IUCN, 2010 criterion based and CAMP, 2010) of these species showed 21 species in different threat categories, viz., Critically Endangered (CR), Endangered (E) and Vulnerable (VU) in study region.
Effects of Temperature on Resistance to Streptomycin in Xanthomonas arboricola pv. pruni
Authors: Song Ji Ho , Kong Hyun Gi
Published: January 2025

Xanthomonas arboricola pv. pruni (Xap) causes the shot hole disease of stone fruits and almonds. This bacterium is a damaging, widespread pathogen distributed across the major stone fruit producing regions of the world. To control shot hole disease, antibiotics such as streptomycin are mainly used. However, as concerns about antibiotic resistance increase, many restrictions are placed on the use of antibiotics. Additionally, it has been reported that the rise in temperature due to climate change affects disease occurrence and ecology. Therefore, in this study, we determined the minimum inhibitory concentration (MIC) of streptomycin for Xap at an optimal growth temperature of 28°C and investigated the changes in MIC and the occurrence frequency of resistant bacteria at 10°C, 25°C and 30°C. The results of this study showed that the MIC was 30 µg/ml at 28°C. In addition, when the change in streptomycin resistance concentration due to temperature was confirmed, we found that the resistance concentration decreased to 10 µg/ml at 30°C. When the occurrence of resistance according to concentration and temperature conditions was investigated, the occurrence frequency of resistant strains was found to be the highest at 50 µg/ml. In the case of temperature, the occurrence frequency of resistant strains was confirmed to be high at 30°C. These results provide basic data for further reducing the problem of antibiotic resistance by suggesting the possibility of changes in the occurrence of streptomycin-resistant strains depending on the antibiotic treatment environment.
Phenology, biological and cultural control of the new almond pest Eurytoma amygdali (Hymenoptera, Eurytomidae) in Spain
Authors: Rodrigo Eugenia , Benedito Vicent , Xamaní Pilar , Baena Manuel , Ferragut Francisco
Published: January 2025

Aim of study: Eurytoma amygdali Enderlein (Hymenoptera, Eurytomidae), the almond wasp, is a new pest detected in Spain. Although the insect is present in Europe, in Spain no damage was detected until 2016, increasing substantially in the following years. The phenology of almond wasp and the natural enemies complex were investigated and the results of the parasitism rate and cultural control measures were analyzed.
Area of study: Five Spanish provinces, important regions for almond production where E. amygdali causes serious harvest losses.
Material and methods: Samples of different almond varieties were taken from ecological almond plots in the Spanish provinces of Valencia, Alicante, Albacete, Murcia and Cuenca.
Main results: The first almond wasp eggs were observed at the beginning of May and completely developed larvae, early in July. Wasp flight occurred from mid-March to late May. Two natural enemies were associated with the pest, Pyemotes amygdali Çobanoğlu & Doğanlar (Acari, Pyemotidae), and Opilo domesticus (Sturm) (Coleoptera, Cleridae). Pyemotes amygdali parasitized wasp larvae, adult females and males, and Opilio domesticus fed on wasp larvae. O. domesticus was very scarce, unlike P. amygdali. In the plots with parasitized wasps, the parasitism rate ranged from 0.6% to 44% for P. amygdali. Our results suggest that sanitation measure was an important cultural pest control practice, because in the plantations where mummified almonds were removed, 96% of edible almonds were harvested, compared to 18% if mummified almonds were not removed from trees.
Research highlights: Cultural control could be an important measure to control the almond wasp, because it allows biological conservation control, by preserving natural enemies present in the environment and avoid the negative effect of insecticides.
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ ПРОБЛЕМЫ ОСУЩЕСТВЛЕНИЕ И ЗАЩИТЫ СУБЪЕКТИВНЫХ ГРАЖДАНСКИХ ПРАВ В УСЛОВИЯХ ЦИФРОВОЙ РЕАЛЬНОСТИ
Authors: Рузиназаров Шухрат
Published: January 2025

This article examines the boundaries of the implementation and protection of subjective civil digital rights in the process of reforming the Civil Code of Uzbekistan, identifies specific problems and develops appropriate solutions. The article presents conceptual scientific, practical, educational and methodological problems of the implementation and protection of digital rights of citizens in the Republic of Uzbekistan and ways to solve them. The article assumes that an in-depth study of the scientific and methodological basis for the implementation and protection of subjective civil rights will enable reasonable legal regulation of this institution, taking into account objective patterns and the need for social transformation. The article analyzes the features of the digital space that affect law enforcement practice and the effectiveness of civil rights protection. The issues of adaptation of traditional legal concepts to the new conditions caused by the development of digital technologies are considered. The problems of legal regulation arising from the use of virtual objects, digital assets and smart contracts are discussed. Recommendations for improving the legislative framework and law enforcement practice aimed at ensuring reliable protection of the rights of subjects in the digital environment are proposed.
ҚАЗІРГІ ҚАРАҚАЛПАҚ ПОЭЗИЯСЫНДА МАХАББАТ ЛИРИКАСЫ
Authors: Қ.К. ТҰРДЫБАЕВ Қ.К. ТҰРДЫБАЕВ
Published: January 2025

Whatever the literature of the era, the most widely written genre type of lyrics is love poems. The terms love lyrics and love lyrics are used synonymously, and they refer to intimate lyrics. This term is derived from the Latin word intimus, which means "very deep, very Internal" in the literal sense. Love poems are intertwined with the realities of life and the laws of life. Each poet feels love in his own way and sings it in his own way. This wonderful feeling is expressed by the Karakalpak poets – I. Yusupov in their own way, H. Dauletnazarov and O. Satpayev sings differently, N. Hakobova and M. Zhumanazarov sing in a completely different style. But the lyrical heroes of all of them are pure souls, people with a chaste soul who want to be true to their love, fight hard on this path, wish happiness to others. If we take into account the fact that love is one of the ethical categories, then the faithful love of the lyrical hero also serves as a moral example for society. In the article, the author makes a deep analysis of love poems and works of widely recognized poets in modern Karakalpak poetry.
INTERACTIVE METHODS OF ENGLISH LANGUAGE TEACHING AND FORMS OF INTERACTIVE COMMUNICATION
Authors: A.K. Kopbay
Published: January 2025

Interactive methods of teaching English are innovative. Based on the research of A. L. Andreev, we understand the innovation process as “a purposeful, motivated process aimed at creating, mastering and using modern ideas that are relevant and adapted to specific conditions and meet clear criteria”.
Teaching English is an integral system, the main goals of which are to form and develop foreign language communicative and cultural competence of students. At the same time, the focus should be on the individual characteristics of students, their active learning activities. The teacher needs to make every effort to form a positive motivation for learning English. At the same time, the contradictions between the demands of society and the low motivation of students to learn foreign languages in general indicate the need to use effective methods and forms of education that contribute to the formation of communicative competence.
A Comparative Study on the Influence of Chinese and American Education Systems on Regional Economy
Authors: Yang Ziyi
Published: January 2025

This paper explores the comparison of Chinese and U.S education systems, discussing the advantages and disadvantages, and these problems will lead to the regional economic difference. It highlights case studies and evaluates characters. The study concludes with the equal educational problem leading to the regional economic disparities. This study shows that college students choose to take student loans in order to enter good universities, and the impact of this is that they are more likely to work in cities with more developed industries after graduation, so as to get a higher salary to repay the student loans. For China, college students will be more inclined to stay in advanced cities, because living in these cities can not only get a higher salary, but also get more policy and education benefits for their next generation. However, as time goes by no matter in U.S or China, poorer cities will lose a lot of excellent talents, affecting the economic growth of these cities, and thus the degree of regional economic differentiation will gradually deepen. This study aims to explore the relationship between an equal education system and Regional economy. It hypothesizes that equal education systems lead to some loss of human resources and cause backward economic development.
An Analysis of the Influence of Family Socioeconomic Status on Students' Academic Performance
Authors: Guo Ziyu
Published: January 2025

Socioeconomic status (SES) is widely recognised as an important factor in children's academic performance within academia. Disparities rooted in SES have become more pronounced as social inequities have increased, and parental expectations for academic success have risen. This study aims to elucidate the intricate dynamics that affect student academic success. This study examines the critical role of family SES in contributing to student academic performance and identifies key factors that shape this relationship based on existing literature and research data. The study examines the direct impact of SES on academic performance and the mediating effect of parental educational contributions, demonstrating how parental participation might alleviate the challenges encountered by kids from lower SES families. To address this issue, the government and community can intervene to a certain extent. For educators and legislators to create successful interventions that assist underprivileged kids and advance educational equity, they must have a thorough understanding of these variables.
The Application of BCI Based on Deep Learning in Stroke Treatment
Authors: Lin Xiyang , Yang Canyu , Yuan Weihang , Cai Zhoutao
Published: January 2025

Stroke is considered a global disease that leads to death and certain neural disabilities. Deep learning techniques have revolutionized EEG-based Brain-Computer Interface(BCI), enhancing reliability and promising a transformative future for BCI applications in stroke rehabilitation. However, BCI's implementation in clinical practice has been restricted due to their low accuracy performance. The objective of this review is to summarize how the integration of deep learning and BCI technologies can contribute to the rehabilitation of stroke patients. This paper compiles studies that evaluated deep learning and BCI intersection for stroke subjects, analyses the methodological quality of these studies, and verifies the relationship between the effects of the interventions and performance achieved in rehabilitation. The deficiencies and the future development direction of stroke rehabilitation in BCI with deep learning are also discussed. The various deep learning techniques combined with BCI technology, will improve people's ability to cope with stroke and provide a way to recover from stroke.
Study Report on Coresets Selection for Open-Set with Fine-Grained Task and Self-Supervised Machine Learning
Authors: Ma Wentao , Ma Chenyou
Published: January 2025

The paper we studied introduces concepts about machine learning and algorithms for corsets selection. A group of researchers from KAIST have developed an effective coresets selection algorithm to help Open-set self-supervised learning on image classification tasks. Experiments are being established using big open sets and making it more fine-grained, models will be trained using the fine-grained sets in order to classify and annotate different objects in the picture. In our studies, we have experimented using pictures of aircraft to train the model. An algorithm to select coreset named SimCore is being developed, and the group of researchers had found that by merging the coreset selected from the open set with the target dataset, had made the training process of the model more efficient.
Boosting Cooperative NPC Effectiveness and Player Immersion through Behavior Tree Optimization in Gaming
Authors: Zhu Fangyu
Published: January 2025

The purpose of this research is to improve the adaptability and intelligence of cooperative non-player characters (NPCs) in dynamic gaming situations. Although behavior trees (BTs) are commonly used to simulate non-player character (NPC) behaviors, their rigid hierarchical design restricts NPC adaptability in complex settings. This study employs a variety of optimization techniques, including evolutionary algorithms and hybrid strategies that combine Artificial Neural Networks (ANN) and Monte Carlo Tree Search (MCTS), to improve NPC adaptability. The findings reveal that these strategies enable flexible behavior transitions, with evolutionary algorithms strengthening BT's flexibility in decision-making scenarios and ANN and MCTS significantly increasing NPC intelligence and response capabilities. Furthermore, we highlight fundamental drawbacks in typical BTs, such as static node topologies, which may impede dynamic adaptation. These discoveries lay the groundwork for improving immersive gaming experiences, expanding the knowledge repository for NPC AI research, and providing vital insights into the development of more intelligent cooperative NPCs.
Sensory Feedback Improvement of BCI Robotics for Movement Control
Authors: Jiang Zekai , Lyu Haocheng , Wan Yuecen , Qian Haochen
Published: January 2025

Brain-computer interfaces have great potential in motor control and rehabilitation. In related research fields, how to effectively monitor users has always been a research focus. Many studies have found that the performance of brain-computer interfaces can be effectively improved by improving and integrating feedback methods. This article reviews the four main types of feedback currently available, including visual feedback, auditory feedback, vibration, and electrical stimulation in tactile feedback, and introduces their principles and applications. This article summarizes the improvements in experimental accuracy and efficiency brought about by these sensory feedbacks in research and finally proposes limitations and future development trends.
Application of Ear-EEG and Other Wearable Systems in Sleep Assessment
Authors: Tang Yating , Yin Xinyao , Wang Xinyu , Zhang Zeyao
Published: January 2025

Nowadays, about one-third of adults have the symptoms of insomnia. To assess these issues, one of the traditional methods used is polysomnography (PSG). However, it is expensive and not widely accessible, highlighting the urgent need for advancements in wearable technology to provide a more practical alternative for continuous sleep monitoring at home. This paper aims to explore various sleep assessment methods, including electrocardiography (ECG), photoplethysmography (PPG), and actigraphy, which measure heart activity, pulse wave, and muscle movement, respectively. By evaluating these methods, the paper analyses their advantages and challenges, particularly focusing on their accuracy in sleep stage classification and comfort levels. At the same time, this study compares Ear-EEG systems with other methods to assess their effectiveness in sleep monitoring. The future development directions for Ear-EEG in sleep monitoring are also discussed, encompassing aspects such as age variability, design improvements, and integrating advanced algorithms. Future advancements in at-home sleep assessments are expected to treat sleep disorders more efficiently and conveniently through early detection of disorders and improved user-friendliness compared to PSG.
An Effectiveness Analysis of Non-Pharmaceutical Interventions (NPIs) Implemented in European Countries though Machine Learning
Authors: Yu Tong , Chen Xinrui , Jiang Yifei , Chen Ji , Li Bohan
Published: January 2025

Non-pharmaceutical interventions (NPIs) were demonstrated as effective measures for mitigating SARS-CoV-2 transmission during the early stages of the pandemic. This study aims to explore the impact of NPIs by utilizing a Seasonal ARIMA (SARIMA) model to capture the characteristics of the time series of new COVID-19 cases in four countriesItaly, Germany, Austria, and Portugalbefore the implementation of specific policies. Using this model, we predict the trend of new cases for the next month (30 units), assuming the NPIs had not been implemented. By comparing these predictions to the actual trends observed after the NPIs were applied, we evaluate the effectiveness of the interventions in reducing case numbers.
Judging Bias in Olympic Diving: Fairness at Risk Zones During the Tokyo 2021 Games
Authors: Song Kangqi , Lin Xuanrui , Li Jiayin , Yao Yingxia
Published: January 2025

This study aimed to investigate whether judges exhibit bias when scoring divers from the same country, especially at the risk moment, which are competitively significant moments in the sequence of the event. Using the Tokyo 2021 Olympic Diving dataset (Smith 2021), the study first identified the risk zones and analyzed the judges scores in these areas in the preliminary and semi-final rounds. Subsequently, the permutation tests and t-tests were employed to examine whether the nationality of the divers affected the judges scores. The findings suggest that in non-risk zones, judges may support divers from the same country. Nevertheless, in the risk zone, there is no evidence to suggest that judges are biased, which means that judges may consciously maintain fairness during the competition rounds especially at the risk moment. In addition, we explored anti-bias, which means the home judge may give low scores to those divers who are in the risk zone but not from their own country, as these divers may pose a threat to the progress of their own diver at the risk moment. However, the results show that while some judges behavior is consistent with this assumption, such anti-bias lacks statistical significance with reference to the results of the corresponding permutation test.
An Integrated Framework for TFT-LCD Quality Prediction Based on L1 Regularized Feature Selection and SSA-Optimized MLP-XGBoost Ensemble
Authors: Jiang Lan
Published: January 2025

With the rapid development of display technology, accurate quality prediction of TFT-LCD is crucial because its performance directly affects the user experience. Traditional quality prediction methods rely on manual inspection or rule-based methods, facing the challenges of low efficiency, strong subjectivity, and lack of robustness to changes in production environment. To address these limitations, this paper proposes a novel regression model based on L1 regularized feature selection, Salp Swarm algorithm (SSA) optimization, and MLP-XGBoost integration. L1 regularization is used to automatically select key features from high-dimensional industrial data, reduce redundancy and enhance model generalization. Subsequently, SSA optimizes the hyperparameters of MLP and XGBoost, enabling effective exploration of the parameter space and thus improving model performance. The integrated MLP-XGBoost model combines the nonlinear feature extraction capability of MLP with the regression accuracy of XGBoost. Experimental results show that the proposed model outperforms traditional models in various indicators. Compared with the unoptimized MLP-XGBoost, the model achieves a significant reduction in prediction error, verifying its effectiveness in solving TFT-LCD quality prediction.
Prediction of Foundation Pit Dewatering Water Level Based on Neural Network and Improved Kriging Interpolation
Authors: Zhao Cheng , Huang Zhiqiang
Published: January 2025

Based on a foundation pit project in Shenyang, a large number of water level detection data were collected. The research focus of this paper is to use these data to build a depth neural network model to predict the water level of foundation pit dewatering. The Spatio-temporal convolution neural network has two components for capturing temporal correlation and spatial correlation of nodes, which have strong capturing ability of spatio-temporal correlation. The construction of spatio-temporal convolution neural network model can realize the time domain prediction of water level at all measuring points at the same time. The Kriging interpolation model optimized by Dupuit dewatering formula is superior in the spatial prediction of dewatering water level in the whole study area. Compared with OK method, IDW method and SP method, the prediction performance of improved Kriging interpolation is improved by 33.02%, 38.26% and 44.96% respectively Based on STGCN-Kriging model, the average error is 0.71 m and the error percentage is 2.55%. Combining with STGCN network and improved Kriging interpolation, the discrete prediction results in time domain are mapped to the spatial distribution results of water level buried depth in time domain, and the spatial distribution of foundation pit dewatering water level is predicted in time domain.
Metropolis-Hastings Algorithms based on a Zero-inflated Poisson Model
Authors: Chen Yaoyu
Published: January 2025

The Metropolis-Hastings algorithm is a well-proven Markov Chain Monte Carlo (MCMC) technique for generating sequences of random samples from probability distributions difficult to sample directly. In this article, we develop two versions of the Metropolis-Hastings algorithm Independent Metropolis and Random-Walk Metropolis and integrate them with a zero-inflated Poisson model to calculate the percentage of children among widowed women in Manchester, 2021. The excess of zeros in the data are estimated using a zero-inflated Poisson distribution. So we calculate both Metropolis-Hastings algorithms for estimation of the parameters of the model such as the Poisson rate parameter and the zero-inflation parameter. Using these algorithms we have shown that the zero-inflated Poisson model estimates are quite consistent with observed data and hence useful for modelling count data with excess zeros. These observations indicate that Independent Metropolis and Random-Walk Metropolis methods both fit the model parameters correctly, with Random-Walk Metropolis resulting in stable convergence.