bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Camus' Philosophy of Rebellion
Authors: Tang Mingpei
Published: September 2024

The thoughts of the famous French writer and philosopher Albert Camus are profound. His literary works, imbued with his philosophical ideas, are embodied in characters like Meursault from "The Stranger" and Sisyphus pushing the rock uphill. Camus seeks the meaning of life through the "rebellion" against the absurd, which is fundamental to his philosophical significance. Camus' philosophy of rebellion is influenced by Christian existentialism and Nietzsche's "superman philosophy," among other thoughts. "Absurdity" is the target of Camus' philosophy of rebellion; it is omnipresent and unavoidable. People should acknowledge the "absurd." Camus' philosophy does not aim to prove the absurdity of the world through philosophical speculation but rather to address how one should respond after recognizing the absurd. Evaluations of Camus should consider the century-long debate between Camus and Sartre, Sartre's criticism of Camus, and the subsequent scholarly "rehabilitation" of Camus. These discussions highlight the uniqueness and influence of Camus' philosophy and provide us with valuable insights.
Research on Acoustic Monitoring of Escape of Large Yellow Croaker Cultured in Cages
Authors: Chen Shuai , Li Xia , Huang Hongliang , Li Lingzhi , Rao Xin , Yang Jialiang , Li Shuai , Zhao Guoqing , Zhang Gangchen
Published: September 2024

It is an important problem for large yellow croaker culture to escape due to the damage of net coat. In this study, a horizontal moving fish finder was installed in a cage to monitor large yellow croaker groups with different numbers and body lengths by acoustic means, and the behavioral characteristics of fish groups were observed after the experimental net was damaged by using the nesting method. Through the identification of large yellow croaker group individual, swimming speed, size, direction and other group behavior characteristics, in order to prevent the escape of fish, set green (normal), yellow (ordinary alarm), red (strong alarm) three state display. This study will provide technical support for the more scientific and safe development of large yellow croaker cage culture.
Modeling the Continuous Intention to Use Generative AI as an Educational Tool for EFL Learners among Vocational College Students in Guangzhou, China
Authors: Zeng Jing , Li Xia
Published: September 2024

This study aims to model the continuous intention to use generative AI (GenAI) as an educational tool among English as a Foreign Language (EFL) learners in vocational colleges in Guangzhou, China, by integrating the Technology Acceptance Model (TAM) and Self-Determination Theory (SDT). Data were collected from 419 vocational college students in Guangzhou enrolled in EFL courses. A structured questionnaire measured autonomy, relatedness, competence, perceived usefulness, and continuous intention. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that autonomy, relatedness, and competence significantly influence perceived usefulness, which, in turn, positively affects students' continuous intention to use GenAI. Furthermore, perceived usefulness mediates the relationships between the three independent variables (autonomy, relatedness, and competence) and continuous intention. The study is limited to vocational college students in Guangzhou, which may restrict the generalizability of the findings. Future research could expand the sample to different educational contexts. The findings provide valuable insights for educators and policymakers on how to enhance GenAI adoption in vocational education by fostering student autonomy, relatedness, and competence. This study extends TAM by incorporating SDT to explain both external and intrinsic factors influencing the continuous intention to use GenAI in educational settings, focusing on vocational students in a Chinese context.
Research Progress in Prevention and Treatment of Atherosclerosis by Regulating Endothelial Cells with Traditional Chinese Medicine
Authors: Fang Fang
Published: September 2024

Atherosclerosis (AS)is an important pathological basis of cardiovascular and cerebrovascular diseases. Its pathogenesis is complex and involves many factors. Traditional Chinese medicine (TCM) has the advantage of multi-link and multi-target intervention in the prevention and treatment of AS, in which the regulation of endothelial progenitor cells (EPCs) is an important research direction. This article will review the research progress of TCM in preventing and treating AS by regulating EPCs.
Research on the Cultural Identity of Salt-related Place Names in Zigong
Authors: Zou Wenna , Wan Meng
Published: September 2024

This study aims to explore how the mental experience of Zigong’s salt-related place name culture impacts visitors' behavioral identity through the mediating roles of cognitive and affective identity. Based on three hypotheses: (1) mental experience has a positive impact on behavioral identity; (2) cognitive identity mediates the relationship between mental experience and behavioral identity; (3) affective identity also mediates this relationship. Data were collected from 555 tourists in Zigong, Sichuan Province, and analyzed using a structural equation model. The results show that mental experience significantly affects behavioral identity, with cognitive and affective identity playing mediating roles. This study offers insights into promoting local tourism and economic development by enhancing cultural identity through mental experiences.
Time Series Forecasting of Emission Trends Using Recurrent Neural Networks
Authors: Zou Xuetian , Wang Kangli , Lu Jiawei , Wu Dili
Published: September 2024

This paper explores the application of Recurrent Neural Networks (RNNs) for forecasting emission trends, a critical aspect of addressing climate change and formulating effective environmental policies. Traditional forecasting methods, such as Autoregressive Integrated Moving Average (ARIMA) and Exponential Smoothing, often fail to capture the complex nonlinear relationships and temporal dependencies inherent in emission data. In contrast, RNNs, particularly Long Short-Term Memory (LSTM) networks, are designed to recognize patterns in sequential data, making them well-suited for time series forecasting tasks. This study employs a comprehensive methodology that includes data collection from reputable sources, feature selection, RNN model design, and rigorous evaluation using various performance metrics. The results indicate that RNNs significantly outperform traditional forecasting techniques in terms of accuracy, providing valuable insights into future emission trajectories. The findings underscore the potential of RNNs as powerful tools for policymakers and researchers, facilitating more informed decision-making in the fight against climate change.
Education Equity in Urban-Rural Differences in China: Take Teacher Team Building as An Example
Authors: Zheng Xinling
Published: September 2024

China's educational equity has received widespread attention from society, and all regions of the country have adopted positive policies to adjust and improve the fairness of the education system. However, in the existing education system, there are still deficiencies in the allocation of educational resources and teachers in different regions, such as the eastern and western regions, and coastal and inland areas. Certainly, urban and rural areas are the same. This paper analyzes the role of teachers for students, society, and even the country, as well as the differences in urban and rural educational resources and fairness. This paper analyzes the importance of teachers for both urban and rural students, which further illustrates the importance of fair allocation of teacher resources for the development of students. Based on this, this paper proposes the following suggestions: carry out urban-rural educational cooperation develop diversified education, and cultivate excellent local teachers to reduce the fairness problems in urban and rural areas.
The Impacts and Challenges of ChatGPT on Translation Teaching in Universities
Authors: Ma Yihan
Published: September 2024

ChatGPT, as an artificial intelligence tool, has played an important role in various fields, especially in the field of education. However, there are still shortcomings in translation teaching in universities. This paper analyzes firstly the impacts and challenges of ChatGPT in translation teaching in universities and concludes that ChatGPT can help reduce teachers' teaching burden, provide a rich corpus, and improve translation efficiency. But at the same time, this paper also finds out that the abuse of ChatGPT will bring certain risks, such as causing alienation of the relationship between teaching subjects, and students' excessive reliance on it is not conducive to the cultivation of innovative and critical consciousness, ChatGPT will also lead to academic misconduct such as cheating and plagiarism. Based on this, this paper puts forward the following suggestions: Establish two correct tripartite relationships, cultivate students' innovative consciousness, and formulate more perfect laws and regulations to regulate the use of ChatGPT.
Improved Road Target Detection Algorithm for YOLOv7-Tiny
Authors: Chen Shuyan , Ma Dongmei , Luo Xiaoyun
Published: September 2024

In complex road scenes, we propose an enhanced road target detection algorithm for YOLOv7-Tiny to address issues such as large model size, misclassification, and low localization accuracy. Our approach involves several key modifi-cations. Firstly, we replace the LeakyReLU activation function in YOLOv7-Tiny with H-swish. This replacement not only reduces the number of parameters in the model but also enhances its feature extraction capabilities. Additionally, we replace the ELAN module in the Neck with the DPCH-ELAN module and introduce the darknetblock module along with the pcconv convolution. These modifications improve the network's ability to comprehend complex patterns and semantics, thereby enabling it to capture features at different levels of input data. Moreover, we introduce the pcconv convolution building block at the output side to handle heterogeneous information in complex road scenes, thereby enhancing the network's performance in detecting road targets and abnormalities. In our experiments using a mul-ti-source dataset, the improved model exhibits a reduction in GFLOPs by 20.90% and a decrease in the number of pa-rameters by 24.49%. Furthermore, the mean average precision scores (map) at thresholds of 0.5 and 0.5~0.9 are im-proved to 77.3% and 51.8%, respectively, compared to the original YOLOv7-Tiny model. These experimental results demonstrate that our enhanced model achieves a reduction in model size while simultaneously enhancing detection accuracy, thereby meeting the requirements for real-time detection. To assess the generalizability of our approach, we conducted comparison experiments on the VOC2012 dataset. The results indicate that the improved algorithm exhibits robust generalization capabilities across different datasets.
Research of Turkish Earthquake Reports Based on Resonance Theory
Authors: Hao Jiayi
Published: September 2024

The purpose of this study is to examine the public's perception of the distant suffering of the alienation phenomenon and its treatment in the era of social media. The study uses resonance theory to investigate that the media affects the public perception of distant suffering and elicits moral reflection and emotional resonance in the context of globalization and technological acceleration. This research explains the fundamental ideas of resonance theory, including how to build the axes of resonance and how to look for harmonious resonance in an accelerating society between people and the community. Through the balancing techniques of social media in catastrophe coverage, the paper investigates the case of the Turkish earthquake to demonstrate the reasons for public perception fatigue and the methods by which individuals can get involved in humanitarian efforts.
Research On Foreign Language Anxiety in Japanese Acquisition
Authors: Qin Jingwen
Published: September 2024

Foreign language anxiety is a common emotional factor in foreign language learning and is not conducive to learners' development. Since anxiety is specific to certain target languages, current research mainly focuses on English learners, and few studies take Asia languages, such as Chinese or Japanese as the target language. Based on these, this study reviews the current research on Japanese language learning anxiety from the perspective of linguistic classification and summarizes the teaching methods to reduce foreign language anxiety. It is proposed that teachers and learners should be encouraged to rethink their perceptions of mistakes. In addition, the order of knowledge acquisition of Japanese grammar should be respected, and the potential interest of learners in Japanese culture should be utilized. In addition, the establishment of a lighthearted and inclusive learning environment, the judicious use of group activities, and the appropriate administration of examinations and assessments can also be effective in alleviating anxiety.
Causal Relationship between Ischemic Stroke and Malignant Brain Tumors: A Two-Sample Mendelian Randomization Analysis
Authors: Chen Zhiyu , Li Zhaoming , Chen Yiliu , Xu Dianshuang
Published: September 2024

Object: Contemporary observational research has identified associations between cerebrovascular accidents, commonly referred to as strokes, and malignant cerebral neoplasms. However, these studies fall short of elucidating the presence of a direct causal relationship between the two conditions. In our investigation, we employ aggregated data derived from large-scale population-based genome-wide association studies (GWASs), to interrogate the potential causal linkages between these two pathologies. Method: This investigation leverages the two-sample Mendelian randomization (MR) methodology to elucidate the genetic underpinnings of the causal nexus between malignant cerebral neoplasms and ischemic cerebrovascular accidents. Rigorous quality control protocols were enacted to identify SNPs that exhibit a robust association with the exposure variable, namely malignant brain tumors. Analytical strategies, including MR-Egger regression, weighted median, inverse-variance weighted (IVW), simple mode, and weight mode methods, constituted the core of our MR analytical framework. Predominantly, the findings hinge upon the IVW method. To fortify the veracity of our conclusions, an array of sensitivity analyses such as MR-Egger regression, weighted median, MR pleiotropy, MR-PRESSO and radial MR, were deployed to meticulously evaluate heterogeneity and pleiotropy. Result: The findings derived from the IVW model reveal an absence of a significant causal nexus between malignant cerebral neoplasms and any categorization of cerebrovascular accidents, encompassing any strokes (AS) (OR 0.998, 95% CI 0.99-1.01, P=0.741), any ischemic strokes (AIS) (OR 0.999, 95% CI 0.99-1.01, P=0.999), large artery strokes (LAS) (OR 0.993, 95% CI 0.97-1.02, P=0.603), cardioembolic strokes (CES) (OR 1.012, 95% CI 0.99-1.03, P=0.275), and small vessel strokes (SVS) (OR 0.998, 95% CI 0.98-1.02, P=0.880) with respect to either an escalation or reduction in risk. Additionally, the analyses did not unveil any indications of heterogeneity or horizontal pleiotropy within the dataset. On a genome-wide scale, none of the variants associated with malignant brain tumors demonstrated relevance to the investigated outcomes. Conclusion: The outcomes of this MR investigation reveal the absence of a causal linkage between malignant cerebral neoplasms and ischemic cerebrovascular accidents. Nonetheless, the observed correlation between these two pathologies warrants attention, underscoring the necessity for heightened surveillance and care for individuals concurrently afflicted with both conditions.
Addressing cold start problems in new store locations with transfer learning in spatial GNNs
Authors: Lee Michael , Zhang Jude , Kindersley Luna
Published: September 2024

The cold start problem poses a significant challenge for retailers opening new store locations, primarily due to the lack of historical sales data necessary for accurate demand forecasting and effective inventory management. This paper explores the application of transfer learning within spatial Graph Neural Networks (GNNs) as a solution to this issue. By leveraging existing data from established stores that share similar characteristics, our proposed methodology enhances the forecasting accuracy and helps mitigate the risks associated with new store openings. We detail the architecture of the spatial GNN model, which captures complex spatial relationships and customer interactions, providing richer insights into demand patterns. Experimental results demonstrate substantial improvements in forecasting performance compared to traditional methods, highlighting the potential of transfer learning to inform strategic decision-making in retail. This research aims to provide actionable insights for retailers seeking to optimize their operations in new markets.
Punitive Damages for Copyright Infringement in China: Application Practice, Theoretical Reflection and Optimisation Paths
Authors: Zhang Weichen
Published: September 2024

Copyright protection has always been an important issue in development, and the Copyright Law amended in 2020 formally established a system of punitive damages ranging from 1 to 5 times, aiming at combating intentional infringement and aggravated acts. Through the analysis of the determination of ‘intentional infringement’ and ‘aggravating circumstances and the calculation of the amount in practice, it is found that the conditions for the application of punitive damages and the calculation of the amount are ambiguous. We analyses the principle provisions and specific application of punitive damages in terms of jurisprudence, and try to optimize the practice path of punitive damages by means of supplementary legislation and judicial empowerment.
Investigating the Impact of Different Learning Assessments on Students' Adoption of Learning Strategies Through Explore-Exploit Tensions
Authors: Shi Zidi
Published: September 2024

In the current educational reform, learning assessment activities demonstrate diversity and integration. students can actively engage in the evaluation process and monitor their learning performance across different aspects over time. However, limited research conducted on students' psychological acceptance and utilization of diverse types of learning assessments. This study examines the psychological changes in young students' learning assessment activities from the perspective of their trade-off between information exploration and exploitation. Regarding participation, students tend to rely more on teachers' intuitive quantitative evaluations rather than placing trust in results obtained through interactions with their teachers and peers. Regarding the use of evaluation results, grade-related assessments are easier for students to utilize, while assessments involving strategies, attitudes, and emotions are often perceived as less valuable. In terms of self-regulation and knowledge application, students encounter challenges when attempting to acquire useful information independently and adjust their future learning strategies. Adjusting future learning strategies based on quantifiable results such as grades is relatively straightforward for students. Based on these findings, this study proposes three pedagogical recommendations. Firstly, the teacher should establish an appropriate assessment environment. Secondly, the cultivation of students' self-regulation skills should be emphasized throughout the evaluation process. Finally, the teacher should set short-term learning goals for enhancing student abilities while fostering long-term goals aimed at developing personal adaptability skills.
Research on the Development Model of Computer Course Resources in Vocational Colleges Based on the Integration of Industry and Education
Authors: Pan Jun , Gao Qiang , Hong Ruifeng , Li Weiqun
Published: September 2024

China is currently experiencing a critical period of development in vocational education from a scale-based approach to a content-based approach. The integration of industry and education is considered the main theme of vocational education reform, and one of its core issues is curriculum construction. The traditional reform of computer courses has a series of problems in terms of matching the structure with talent training goals, matching the content with professional job requirements, and integrating the evaluation system with professional development. To address this challenge, this article focuses on the construction of integrated curriculum resources between industry and education, with student ability cultivation as the core, and is committed to strengthening the deep connection between talent cultivation and enterprise development. To this end, we have explored and proposed a development model for industry education integration courses based on the concept of "school enterprise coeducation - practical majors - industry connectivity - zero distance docking", in order to solve many problems faced by traditional computer course reform and promote vocational education to move towards a more connotation rich development stage.
Research on Challenges and Strategies of Students' Adaptive Learning within AI
Authors: Yu Cheng
Published: September 2024

It's acknowledged that an adaptive e-learning system can be efficient for users to conduct personalized learning in which learners could choose appropriate content and preferred models based on artificial intelligence (AI) recommendations. Nowadays, the rapid development of adaptive platforms, fueled by the evolution of machine learning and AI, incontestably brings innovative potential to the educational field. However, there are many unavoidable challenges followed by the swift process of integrating AI and other technologies into adaptive learning practices. Through the extensive review of previous research on adaptive e-learning and comprehensive analysis of their prominent outcomes, the paper focuses on exploring the challenges of adaptive learning within AI that students are facing and proposing possible solutions. It's found that adaptive learning is mainly experiencing the challenges involving how to avoid data bias and protect personal privacy, making continuous evaluations of users, lack of emotion monitoring and technological support for both students and teachers and the technology integration and inequity. To deal with the increasing problems, some practical strategies are presented, such as properly governing data for learning management, conducting continuous evaluation and prediction for users, and visualizing cognition, which can be supportive of students' professional development in adaptive learning.
Comparing Chinese high school students’stress, anxiety and depression in domestic and international schools
Authors: Shen Bohan
Published: September 2024

This study investigates the differences in stress, anxiety, and depression among students in the Chinese domestic high school system and the international schools using Advanced Placement (AP) curriculum in China. Using a mixed-methods approach, this paper will analyze the difference between the two systems and explore factors contributing to the difference. The findings from this study will contribute to a better understanding of the mental health challenges faced by Chinese high school students and inform strategies to promote their well-being. In addition, the study will shed light on the potential benefits and drawbacks of the different educational systems, and help stakeholders make informed decisions about educational policies.
Designing a Multi-Level Caching Forward Index for Recommendation System Services
Authors: Zheng Hongye
Published: September 2024

This paper introduces a forward index based on microservices, which effectively addresses the issue of forward read amplification in recommendation systems through a multi-layer caching mechanism. This allows the forward service to handle a large number of concurrent requests with limited resources while ensuring service stability and final value rate. The paper provides a detailed description of the forward index's data structure design, traffic penetration calculation, and overall service architecture design, dividing the system into three parts: SDK, proxy service, and storage, corresponding to data query, data processing, and data storage respectively. In the SDK design, three components are employed: Cache Slot, synchronous queue, and timer, supporting synchronous, asynchronous, and flexible request forms. The proxy service design handles heterogeneous data and online computation, supporting batch and asynchronous designs, and provides a dynamic data protocol to adapt to the characteristic needs of different microservices. The storage layer design considers performance, cost, and maintainability, utilizing a Cache & SSD model to cope with high-concurrency scenarios.
The Role of AI Technology in Constructing Digital English Classrooms in Underdeveloped Areas
Authors: Shang Yumeng
Published: September 2024

As a key part of basic education, English education in primary schools is of great significance to the personal development of students and the construction of society and has received extensive attention from society. However, primary English education in underdeveloped regions of China is still relatively backward. In recent years, the rapid development of AI technology has realized information communication in education, which has become the key force in promoting the digital transformation of English classrooms in underdeveloped regions and the potential to bridge the education gap between areas. This paper is based on the teaching characteristics of the current primary school English subject, combined with the current development of AI technology applied to English teaching, for building the digital classroom of primary school English in underdeveloped areas puts forward the following relevant recommendations. China should accelerate the implementation of infrastructure construction and technology introduction in underdeveloped areas, and strengthen the training of digital literacy and media awareness for primary school English teachers. Primary schools in underdeveloped areas should use AI technology as a teaching aid to build a "double-teacher" English classroom teaching mode and a curriculum feedback platform based on this technology, to effectively promote the digital transformation of English classrooms in underdeveloped areas.
The Dilemma and Transformation of Teacher Roles in the Context of ChatGPT
Authors: Gou Wei , Li Xuejing , Shao Tong , Zhang Yunshan
Published: September 2024

Artificial intelligence such as ChatGPT has had a huge impact on the development of education. With the development and application of ChatGPT in the field of education, the issue of teacher roles being challenged has received widespread attention. This article discusses the development issues and transformation paths in the context of ChatGPT. This article believes that the role of teachers faces some challenges under the impact of artificial intelligence and urgently needs to adapt and transform. These issues include the weakening of teacher authority, alienation of teacher-student relationships, insufficient self-awareness of teacher roles, and a gap between knowledge and practice in teacher teaching practice. Based on this, this article analyzes that teachers need to transform from the original single teaching mode to guides, learning partners, "pilots" collaborative educators, integrators of teaching resources, and cultivators of knowledge construction for student learning. Therefore, to help teachers achieve better identity conversion, this article proposes the following suggestions. Teachers should fully understand their educational attributes, actively explore scientific educational methods, enhance their educational technology capabilities, integrate new-era educational resources, and help students become the leaders of learning.
Development and Application of the 40-Type Perforator for Casing Deformation Wells
Authors: Zeng Bo , Jing Chen , Song Yi , Liu Yulong , Zhou Nayun , Shen Cheng , Wang Jian
Published: September 2024

To address the inability of the 40-type small-diameter perforator to meet the perforation requirements of 5 1/2" deformed casing in horizontal wells, a perforating gun tube with a wall thickness of 3.2 mm and 160-grade steel was designed. This design effectively increased the available internal space within the gun body, enhancing the perforating gun's resistance to detonation-induced deformation under increased charge conditions. Consequently, the single-shot perforating charge was increased from 3 grams to 4 grams. In terms of the gun and charge design, the limited internal space of the gun was maximized, and a shaped charge liner structure was adopted to enable high-clearance distal perforation, ensuring both perforation depth and casing hole diameter. The newly developed 40-type perforator has been widely applied in blocks such as the National Demonstration Platform for Reservoir Stimulation in northern Dianqian, becoming an effective technological solution for perforation operations in deformed casing wells.
The Exploration of Preschoolers' Development of Interpersonal Etiquette Behaviors
Authors: Wang Chuan , Lyu Jiajia
Published: September 2024

The interpersonal etiquette refers to the common behavior norms and moral principles that have been formed in human social interactions, which mainly consist of etiquette, politeness, ceremonies, and appearance. The behavior of interpersonal etiquette as an important content of preschool morality education is not only the concentrated expression of children's interpersonal ability and moral level development, but also the comprehensive representation of the moral and spiritual style of a nation in the future. The development of children's interpersonal etiquette behavior has the characteristics of stage, difference, and gradual progress. In order to promote the development of children's interpersonal etiquette behavior, kindergartens should establish a scientific preschool etiquette curriculum system, provide preschoolers with a prepared environment for etiquette behavior development, parents should establish a correct etiquette education concept and master scientific etiquette education methods, and society should vigorously promote the social atmosphere of respecting etiquette and culture, helping children internalize the behavior norms and social norms, enhancing their cognition of interpersonal rules, cultivating their awareness of civilized interpersonal communication, enhancing their ability of behavior self-discipline, and promoting the development of children's interpersonal etiquette behavior.
Research Progress on the Factors Influencing the Recurrence of Atrial Fibrillation after Radiofrequency Ablation
Authors: Zhou Xingyu , Liu Huangjun , Yu Xin
Published: September 2024

Catheter radiofrequency ablation is an important treatment for atrial fibrillation (AF) at present. However, the recurrence rate of AF after catheter radiofrequency ablation is relatively high. Factors affecting postoperative recurrence include age, gender, type and duration of AF, ablation strategy, characteristics of the left atrium, electrocardiographic parameters, biomarkers, and coexisting diseases. Assessing the risk of postoperative recurrence in AF patients by these factors and developing a reasonable treatment strategy based on the assessment can help improve the therapeutic benefits of AF patients.
The Influence and Application of ChatGPT in the Teaching Reflection of International Chinese Teachers
Authors: Zhu Huiyu
Published: September 2024

The appearance and use of Chat Generative Pre-Trained Transformer (ChatGPT) has a great impact on the field of international Chinese education. The research on the combination of Artificial Intelligence (AI) and Teaching Chinese as a Foreign Language has attracted extensive attention from scholars, but there are relatively few studies on the combination of AI and teaching reflection of international Chinese teachers. This paper is to analyze the influence and application of ChatGPT in the teaching reflection of international Chinese teachers. It is concluded that ChatGPT plays a certain role in the reflection which is about teachers, students, and teaching media and environment. Based on this conclusion, the paper proposes the following suggestions: Through ChatGPT, these teachers could ensure that their attention continues to focus on information related to students' knowledge growth, and they can also provide individualized language practice and learning resources for students according to their language background. But at the same time, teachers need to pay attention to the maintenance of professional level and the improvement of human-AI interactive negotiation competence (HAINC).
Study on the Role and Influence of AI in Personalized Learning for Second Language Acquisition
Authors: Li Yuxuan
Published: September 2024

The combination of AI and second language acquisition can help to provide personalized teaching content and adjust learning more dynamically so that students can improve their learning efficiency and learning effect. Therefore, the use of AI in SLA has received widespread attention, but its accuracy and usability are still insufficient. This paper analyzes the particularity of SLA teaching and the application of AI in SLA, especially its potential to meet the unique needs of learners, optimize learning paths, and improve teaching efficiency. This paper concludes that the combination of teacher and AI is more ideal than the use of AI alone. Based on this, this paper proposes a new pedagogy that fully implements teacher-AI collaborative teaching in SLA. These improvements will promote a more effective language learning environment while strengthening the role of technology in supporting education, and these strategies will drive SLA teaching practices in a more personalized and technology-driven direction.
Research on Potential Customer Mining Models for Electric Vehicles Based on Machine Learning Models and Service Growth Models
Authors: Wang Jinxin
Published: September 2024

This study investigates the factors that impact the sales of electric vehicles (EVs) across different brands. Initially, multiple linear regression was performed on the data, and the variance inflation factors were all found to be less than 10. For the first category of indicators, one-way ANOVA was conducted to separate the three types of brands. For the second category of indicators, a logistic regression model was developed to complete the selection. Through multiple rounds of filtering, the following indicators were determined: For the first category, indicators affecting Brand 1 are A1, A2, A3, A4; indicators affecting Brand 2 are A1, A3; indicators affecting Brand 3 are A1, A2, A3, A5. For all brands, the second category of influencing indicators includes B4, B10, B11, B16, B17. A potential customer mining model was then established. Logistic regression models were created based on the sales influencing factors for different brands, and the model formulas for the three types of brands were calculated. The purchase intentions of 15 target customers were predicted, with an accuracy rate of up to 90%. Finally, the study explores whether increasing service efforts could change customer purchase intentions. A stepwise percentage service growth model was established, incorporating an initial service difficulty coefficient to determine how service satisfaction could be altered. Customers 2, 8, and 11 were selected for validation, and their respective service increment percentages were derived, leading to sales strategies tailored to these three customers.
Analysis of Factors Associated to Hemorrhagic Transformation After Recanalization of Acute Ischemic Stroke
Authors: Yang Lei , Li Yongqiu
Published: September 2024

Ischemic stroke is associated with high rates of mortality and disability, making it an urgent issue that requires immediate attention. However, patients with acute ischemic stroke (AIS) can open the occluded cerebral vessels timelier, restore cerebral perfusion, save the ischemic penumbra, and bring better prognosis. However, a considerable number of patients still have poor clinical outcome due to complications such as hemorrhagic transformation (HT) after vascular reopening. The specific mechanism of HT after recanalization treatment is currently not fully understood. Studies have shown that multiple factors are associated with bleeding transformation after mechanical thrombectomy in AIS patients. Some studies suggest that the damage of ischemia and reperfusion and vascular permeability may play a role. This paper summarizes the possible mechanisms and related influencing factors of HT after vascular recanalization treatment of AIS patients to further guide the treatment and management decisions of AIS patients.
Determination of Polyphenols in Cigar Tobacco by HPLC
Authors: Zhang Jing , Li Ping , Yue Xiaolin , Zhou Ting , Chen Qi , Tan Wenyuan
Published: September 2024

A high performance liquid chromatography (HPLC) method was developed for the determination of neochlorogenic acid, cryptochlorogenic acid and caffeic acid in cigar tobacco. Firstly, the extraction method, extraction liquid concentration and dosage, column temperature and mobile phase flow rate of polyphenols in cigar tobacco were discussed. Then the detection limit, recovery rate, precision and standard curve of three polyphenols were tested. Finally, tobacco samples were tested. The results showed that the optimal extraction conditions were: ultrasonic extraction, extraction time was 30 min, methanol volume concentration was 50%, dosage was 20 mL, the optimal detection conditions were: column temperature was 30 ℃, flow rate was 1.0 mL/min, detection wavelength was 340 nm. The contents of neochlorogenic acid, cryptochlorogenic acid and caffeic acid were in the range of 0~0.202 mg/g, 0~0.331 mg/g and 0.050~0.073 mg/g, respectively, and the linear correlation coefficients of the three polyphenols were ≥0.9991, indicating that the linear correlation of the method was good, and the detection limit was ≤0.066 mg/L. The precision was ≤0.427%, and the recovery was 95.13~96.39%. The results showed that the method had good precision, high accuracy, short analysis time and high detection efficiency, and could be used as an effective method for the detection of polyphenols in cigar tobacco leaves.
Exploring the Relationship between Glycemic Index (GI) and Cancer Risk
Authors: Cong Yang , Li Yewei
Published: September 2024

Obesity and unhealthy diet are important factors that cause cancer. Currently, the application of low GI diet in the prevention and control of diabetes has received increasing attention. A large number of studies have found that a high GI diet can lead to changes in blood sugar and insulin levels, and is one of the important causes of diabetes, tumors, and cardiovascular diseases. Existing studies have shown that there is a close connection between diabetes and cancer, but there are few reports on the relevant mechanisms and risk factors for dietary GI induced cancer. A literature search found that high GI foods increase the incidence of cancer, but there are no large number of experiments to prove whether a low GI diet improves the occurrence of cancer. Therefore, this article proposes and explains the hypothesis of the relationship between glycemic index (GI) and cancer risk, providing new research ideas for the prevention of cancer with a low GI diet.
MORPHOLOGICAL CHANGES IN OSTEOPOROTIC BONES: A COMPARATIVE ANALYSIS USING BIOCHEMICAL AND IMAGING METHODS
Authors: KHAN QUA , KARIM M , NAQVI AZ , NOREEN N , MAGSI I , MANSOOR E , MANSOOR A , AKHTAR N
Published: September 2024

Osteoporosis leads to significant bone mass loss and structural deterioration, increasing fracture risk. Objective: This study explores the morphological changes in osteoporotic bones through a comparative analysis using biochemical markers and imaging techniques. Methods: A cohort of 55 osteoporotic patients underwent evaluation. Biochemical markers were measured, including serum calcium, phosphorus, alkaline phosphatase, and vitamin D. Imaging assessments involved dual-energy X-ray absorptiometry (DEXA) for bone mineral density (BMD) and high-resolution computed tomography (HRCT) for bone microarchitecture analysis. Correlations between biochemical data and imaging results were examined. Results: Biochemical analysis showed elevated alkaline phosphatase levels (mean: 210 IU/L) and widespread vitamin D deficiency (mean: 16 ng/mL). DEXA revealed significant reductions in BMD (mean T-score: -3.2), while HRCT detected substantial trabecular thinning (mean trabecular thickness: 0.12 mm) and increased cortical porosity. A strong inverse correlation (r = -0.75, p < 0.01) between BMD and alkaline phosphatase was observed, indicating a link between high bone turnover and reduced density. Vitamin D deficiency correlated with greater cortical porosity (r = 0.60, p < 0.05). Conclusion: The study highlights that integrating biochemical markers and imaging methods provides a comprehensive understanding of osteoporotic bone morphology. These findings emphasize the need for multi-modal diagnostic approaches to enhance osteoporosis management and fracture risk assessment.
ASSESSMENT OF PASSIVE SMOKING EXPOSURE AMONG PREGNANT WOMEN
Authors: ARIF ZSK , BEGUM R , TASNEEM SS , JABEEN R
Published: September 2024

Secondhand smoke (SHS) exposure poses significant health risks to both mothers and fetuses during pregnancy. Despite global efforts to reduce smoking in public and private spaces, SHS exposure remains prevalent, particularly in low- and middle-income countries. Objective: The study aimed to assess the extent of passive smoking exposure among pregnant women in various settings, including their homes, workplaces, and public spaces, and to examine the frequency and potential health risks associated with SHS exposure during pregnancy. Methods: This cross-sectional study was conducted among 150 pregnant women attending a tertiary care hospital in Pakistan between January and June 2024. Data were collected using a structured questionnaire that captured demographic information and SHS exposure across different environments, including home, workplace, and public spaces. Descriptive statistics, including frequencies and percentages, were used to summarize the data. Results: Among the participants, 60.7% reported SHS exposure at home, with 30% experiencing SHS exposure 6-10 times weekly. Additionally, 61.3% of the women reported exposure at work, with 52.7% exposed 11-15 times monthly. Public spaces also contributed to significant SHS exposure, with 86% of participants affected. Notably, 37.3% of women reported spending 15-30 minutes daily inside a car with someone smoking. Demographically, most participants were aged 25-28 years (46.7%) and had a matric-level education (36.0%). Conclusion: This study reveals a high prevalence of SHS exposure among pregnant women, particularly at home, work, and public places. The findings underscore the urgent need for public health interventions, such as stricter smoke-free policies and public awareness campaigns, to reduce SHS exposure and safeguard maternal and fetal health.
TRENDS OF GERMINATION IN CHILLI SEEDS
Authors: ASHRAF A , SHAHID S , BIBI B , MUMTAZ M , MARRI JK , ULLAH I , HUSSAIN T , KHADIM K , ARIF A , FAIZ A
Published: September 2024

The germination of chilli seeds has traditionally been impacted by physiological or endogenous dormancy traits. Low seed germination rates and vigor growth are issues that could contribute to the poor seedling development of the chilli crop. The most common treatment solution, gibberellic acid (GA3), is not a novel technique for breaking the dormancy of chili seeds. However, further research is required to determine the possible impact of this treatment on the germination of chilli seeds and the growth of seedlings, including the pursuit of an improved GA3 concentration. Thus, the purpose of this study was to assess how various GA3 concentrations affected the performance of seedling growth and emergence in chilli. FGP and GRI had maximum value for T2, and all the treatments were highly significant for FGP and significant for GRI. In T3, the germination performance of the seed decreased drastically. MGT (MGT) decreased from control to T2 and then increased in T3. All three treatments were significantly different for MGT. SH and SVI had maximum values for T2, and all three treatments were significantly different from each other for SVI and highly significant for SH. The optimum concentration of GA3 as pretreatment of chilli seed will help better germination and healthy crop in turn.
Efektivitas Manajemen Organisasi Pelayanan Publik pada Perencanaan dan Pengawasan Pembangunan Daerah B
Authors: Prayitno Dedi
Published: September 2024

Village Community Empowerment (LPMK) is an independent community social institution as a forum for participation by residents and Village partners to realize the aspirations of community needs in the field of development. The implementation of Musrenbang must be carried out by supporting efforts to prevent corruption, so that it is hoped that the targets in the focus of State Finance can be achieved well. After presenting the results of the research and discussing them, it can be concluded that the Musrenbang process has been running with fairly good community involvement. Even though the Musrenbang is already quite large, namely approximately 50% - 70%, efforts are still needed to increase the role of RT, RW and LPMK in area B in the Musrenbang process. Pramusrembang needs to involve mass organizations/institutions/associations and business actors in the region as a form of regional cooperation and a form of channeling to complement the realization of physical/non-physical activities that cannot be handled by budget implementers from Regional Apparatus Organizations (OPD). Campus
Pengaruh Harga dan Promosi Terhadap Loyalitas Konsumen Pengguna Aplikasi Grab-Food di Yogyakarta
Authors: Zufriah Deniyati , Sarjita Sarjita
Published: September 2024

This research aims to determine the influence of price variables and promotion variables on consumer loyalty among Grab-Food users in Yogyakarta. The variables used in this study consist of independent variables, namely price (X1) and promotion (X2), as well as the dependent variable, which is consumer loyalty (Y). The data was analyzed using descriptive analysis, instrument quality testing (validity and reliability tests), and hypothesis testing through multiple linear regression (t-test and R² test), with a total of 100 respondents. The results of the analysis using the multiple linear regression equation show that price has a significant effect on consumer loyalty among Grab-Food users in Yogyakarta. This means that price significantly influences consumer loyalty and has a simultaneous significant effect on consumer loyalty. Consumer loyalty of Grab-Food users in Yogyakarta is influenced by price (X1) and promotion (X2), while the remaining factors are influenced by other variables not included in this study.