bluuebunny/crossref_metadata_2025 huggingface dataset:
Research On Continuous Obstacle Avoidance Control of UAV Tracking Target Based on PID-DDPG Control Method
Authors: Wang Shiyu
Published: July 2024

UAV tracking and obstacle avoidance are important functions of UAVs, and at present, the control system of mainstream UAVs adopts PID control system. However, the traditional PID control can no longer meet the current requirements for faster and more accurate control of UAVs. In this paper, we aim to combine the traditional PID control with deep learning of artificial intelligence to realize the fast tracking and precise obstacle avoidance of the target of UAV in a complex environment. This paper designs a PID-DDPG control model, theoretically, the UAV will prioritize the use of PID control system for fast approach to the selected target, and then switch to the DDPG algorithm to accurately track the target and achieve obstacle avoidance to the environmental obstacles, and ultimately achieve fast tracking and accurate obstacle avoidance to the target in complex environments. Compared with the traditional PID control, the PID-DDPG control system can realize more precise control and faster response to the UAV. At the same time, compared with the pure DDPG deep learning method, this system only needs less learning times and a smaller computation amount.
Exploring the Practical Application of Financial Sharing Models in Petroleum Enterprises: A Case Study of China National Petroleum Corporation (CNPC)
Authors: Li Tianqi , Lyu Yixian , Zhang Rujia
Published: July 2024

With the advent of the big data era and the trend of artificial intelligence, contradictions have gradually arisen between the accounting and financial management of enterprises and the needs of the new era. To save development costs, enterprises need to transform and upgrade in this regard. The new model of financial sharing is one of the important upgrades of CNPC’s financial management models. It can not only integrate resources, increase efficiency, and reduce costs, but also promote the optimization of enterprise operation and management. The paper investigates how CNPC achieves cost reduction and operational efficiency improvement through the transformation and upgrading of financial management mode, as well as the practical application of big data artificial intelligence in enterprise management and financial management during the transformation and upgrading of CNPC's financial management model. Additionally, it discusses the positive impact of popularizing and applying financial sharing mode and What is the guiding significance for the transformation and upgrading of financial management on other Chinese enterprises.
Innovative Teaching Reform in IoT Control Technology and Applications
Authors: Zhong Xiaolei , Qiao Rui
Published: July 2024

The Internet of Things (IoT) control technology and its applications are rapidly evolving, demanding educational institutions to adapt their curricula to prepare students effectively. This paper presents an innovative teaching reform aimed at enhancing the learning experience in the IoT Control Technology and Applications course. The proposed reforms focus on integrating real-world applications, leveraging big data visualization, and incorporating project-based learning to foster practical skills. We discuss the current challenges, the implemented changes, and the outcomes observed in student engagement and comprehension.
Research on the Stress Analysis and Performance Optimization of Lounge Bridge— A Case Study of Xuezhai Bridge
Authors: Lin Zhiyang
Published: July 2024

Lounge bridge is a historic form of bridge, widely distributed in Fujian and Zhejiang provinces in China. Through the lap and support of wooden poles, the structure is simple but very strong, and it is considered to be a unique structure in the history of bridges in the world. In this paper, taking Xuezhai Bridge as an example, the lounge bridge is divided into three main stress systems: bridge deck, three-link and five-link mechanism. The method of elastic mechanics and finite element is analyzed, and the performance of the main materials used in the lounge bridge and the connection mode of mortise and tenon are combined to find the structural defects and the design that can be optimized. By studying the content obtained by analyzing the Xuezhai Bridge in the previous researches, and using modern knowledge, a scheme is proposed to improve the mutual lap design, structural stability and joint strength of the lounge bridge, so that the lounge bridge is more in line with the modern use needs.
Research on Wearable Sweat Sensor Based on Graphene
Authors: Zhang Yixin
Published: July 2024

Sweat is a biofluid of great significance, 99% of which is water, while the rest consists of ions, metabolites, hormones and other substances, which provide extremely rich chemical information about biological metabolism and can be used to reflect the state of the body's bodily functions, making it an ideal sample of body fluids for monitoring. Graphene-based wearable sensor technology obtains unique metabolic information through continuous detection of sweat, enabling personalized application to the human body. The intention of this paper is to first introduce the concept of sweat sensor and its working principle by introducing the extraction method of glucose from sweat, which exposes the shortcomings of the current situation of scientific analysis of the human body, i.e., low personalization of detection, low sensitivity of detection, and high cost of detection. The advantages of carbon-based materials such as graphene are then introduced, leading to the derivation of methods to further improve the sweat sensor and seek to optimize its performance.
Penyampaian Pesan Dakwah Ustadz Muhammad Nuzul Dzikri pada Akun Media Sosial Instagram
Authors: Maharani Shilvia , Asia T Nur
Published: July 2024

The da'wah activities on social media have drawn the attention of many parties, which has subsequently brought forth da'i (Islamic preachers) who utilize this platform as a means to convey Islamic teachings. This research aims to analyze the method of delivering da'wah messages employed by Ustadz Muhammad Nuzul Dzikri on his Instagram account @muhammadnuzuldzikri. The study utilizes a qualitative method, employing content analysis and direct observation of the posted content. The findings indicate that Ustadz Muhammad Nuzul Dzikri conveys his da'wah messages through the use of posters and videos on his Instagram account. The content of these messages encompasses various aspects such as creed, morality, worship, and transactions. These messages are presented with the intention of educating and inspiring his followers to live their daily lives in accordance with Islamic teachings.
Gobernanza educativa desde la pedagogía sistémica
Authors: Zepeda-Moreno Moisés Ezequiel
Published: July 2024

El contenido del presente ensayo busca alentar e impulsar el desarrollo de plataformas y herramientas digitales adecuadas para enfrentar el actual cambio educativo que tiene fuertes implicaciones de gobernabilidad geopolítica. Como podrá ser evaluado por la información analizada dentro de este artículo, a partir del año 2020 se ubica en una revolución tecnológica en cuanto al tema educativo. El incremento de plataformas digitales, análisis Big Data y Chatbots se perfilan como una de las principales industrias de exportación tecnológica de las potencias globales. Sin embargo, el tema sobrepasa el contexto de la profunda dependencia estructural que representa dicha relación comercial. Las EdTech (Tecnologías Educativas por sus siglas en inglés) son pensadas como herramientas para impulsar modelos de gobernabilidad corporativa que no sólo cuestionarán profundamente temas como los de autonomía educativa sino la propia soberanía de los gobiernos. Las conclusiones propuestas señalan la necesaria y urgente atención requerida en el desarrollo de plataformas educativas adecuadas que tomen en cuenta las necesidades humanas y que coloquen al centro al estudiante, su emancipación y descolonización.
Estudios de la información y contextos educativos:
Authors: Tarango Javier
Published: July 2024

La reflexión que en esta editorial se plantea, es partir del desafío que se enfrenta en la construcción de un nuevo número que constituye la colección y continuidad de una revista científica. El reto de integrar una nueva propuesta editorial, entre muchas otras condiciones, se construye ante la incertidumbre de cuáles serán las temáticas que estudian los artículos disponibles, que salvo en el caso de los materiales monográficos, resultan un azar y suceden de manera casual para una construcción de contenidos en tiempo y forma.No obstante, tales diversidades temáticas provocadas ante la abundancia en las visiones que conglomera el contenido de una revista científica, son las que provocan un notable dinamismo, convirtiéndose en el canal principal para lograr la comunicación científica y sus avances, probado está, de forma rápida y eficiente. Desde esta perspectiva, los tiempos actuales ya no problematizan situaciones de procesos de digitalización o los sistemas de acceso abierto, mismos que en general, pudiera decirse que están solventados, más preocupa en estos casos, los enfoques temáticos y su influencia en la epistemología del conocimiento en general.
Education Should Not Be Superficially Appealing: An Analysis of Behavioral Intervention Techniques in "Little Red Flowers"
Authors: Yang Jiaping
Published: July 2024

The film "Little Red Flowers" reflects the drawbacks of educational management in the last century. By analyzing the underlying behavioral intervention techniques and educational approaches of teachers depicted in the film, this paper aims to reflect on the theories and practices of intervention techniques in the context of modern education. It explores more appropriate methods to help students lay a foundation for holistic development. The analysis is conducted from two perspectives: the lack of "reason" and the lack of "love." This paper examines the means and issues of teachers' behavioral intervention techniques, pointing out the harm caused to students' physical and mental health by education under egoistic and authoritarian contexts. "The essence of education is a tree shaking another tree, a cloud pushing another cloud, a soul awakening another soul." Education should not be superficially appealing; through the analysis of intervention techniques, this paper aims to provide new insights for their correct use and for promoting students' healthy development.
The Commons and Differences --An Urgent Need to Localize CBT in Chinese Gambling Addiction Treatment
Authors: Liu Chang
Published: July 2024

Pathological gambling, or gambling disorder, was more familiar as gambling addiction in Chinese society, which is considered to bring enormous damage to both individuals psychological health and social economic improvement, features as a serious of error cognition with behavior dysfunctions in the past 12 months according to a DSM-V standard. Cognitive behavioral therapy (CBT), as one of the four main psychotherapies, plays a suitable role in helping patients adjust to both cognition and behavior imbalance induced by gambling addiction. However, it still leads to a huge gap in how it developed in China compared with the broader application and its effectiveness study of CPT in gambling addiction from foreign countries. In this paper, the localization of CBT in treating addictive gambling is summarized in social burden to show its urgent need, with related problems pointed out, such as shortage of qualified therapists, lack of mature cohort study design with poor usage, unbalanced target population spread with ignored problem severity.
Enhancing English Vocabulary Acquisition Through Integrated Teaching Approaches
Authors: Xu Chenyang
Published: July 2024

In the realm of foreign language acquisition, vocabulary is often recognized as the cornerstone of communicative competence. The complexity and diversity of English vocabulary present a formidable challenge to learners, particularly in non-English speaking contexts. Traditional vocabulary teaching methods have been criticized for their limited effectiveness, prompting a need for innovative approaches that address the multifaceted nature of vocabulary learning. Moreover, the cognitive processes underlying vocabulary acquisition and the role of learner autonomy in this process have become focal points in contemporary language pedagogy. This study aims to explore and analyze the challenges and opportunities in English vocabulary teaching, especially within the context of higher education in China. By comprehensively reviewing the research findings of some scholars, this paper reveals the multi-dimensional approaches and teaching strategies for English vocabulary acquisition. The study points out that vocabulary teaching should transcend the traditional model of separating grammar and vocabulary, and achieve an organic integration of vocabulary and grammar through morphological methods, metacognitive strategy training, and the application of the connectionist theory, thereby promoting the comprehensive improvement of students language abilities. In addition, this paper also emphasizes the application of corpora in English vocabulary teaching and the insights of cognitive linguistics for vocabulary instruction, proposing a novel vocabulary teaching model based on the theory of lexical chunks. The research results indicate that by comprehensively applying a variety of teaching methods and strategies, it is possible to significantly enhance students vocabulary memory, comprehension, and application abilities, thereby improving the overall effectiveness of English teaching.
Economic Inequality: Impacts on Mental Health and Social Structures
Authors: Huang Mingyue
Published: July 2024

Economic disparity poses significant risks to personal well-being and social cohesion, both of which are pivotal global concerns. This research utilizes both personal and aggregate financial status methods to investigate the association between economic disparity and psychological health. Through a comprehensive analysis of current literature and case studies, the study identifies how variations in wealth distribution contribute to a range of mental health issues, including stress, anxiety, and depression. Furthermore, it highlights how economic disparity exacerbates social divisions and undermines community ties. The findings underscore the complex relationship between economic status and psychological health outcomes, emphasizing the social consequences of persistent disparities. This research adopts both qualitative and quantitative methodologies to focus on the negative impacts of economic disparity. The urgent need for policy interventions is stressed to mitigate its effects. The conclusion advocates for a multidimensional approach to address the root causes of disparity, such as policy, educational, and volunteer groups, suggesting that such efforts could significantly promote greater social harmony and improve psychological health outcomes.
An Analysis of Ways to Improve English Teaching Effectiveness in the Context of Education Internationalization
Authors: Li Peihong
Published: July 2024

The current landscape of methodological research on the pedagogical efficacy of English education is marked by a notable lacuna in the field of internationalized education, the importance of English education has become increasingly prominent, notwithstanding the manifold challenges and opportunities engendered by globalization and internationalization. This paper endeavors to delineate strategies aimed at augmenting the potency of English instruction within the milieu of educational internationalization. Predominant issues in contemporary English education encompass insufficient educational resources, mismatched quality between teachers and students, the impact of exam-oriented education, and the economic conditions of students. Building upon this premise, this paper undertakes a systematic review of extant literature while expounding upon the effectiveness of various methodologies employed in English language instruction. Recommendations are proffered for optimizing resource allocation, enhancing teacher proficiency, overhauling educational infrastructure, and furnishing comprehensive support to students with an overarching objective to furnish novel paradigms and trajectories for prospective researchers in cognate domains to explore untapped potentialities and contribute towards furthering advancements in English education.
Taking JD Baitiao as an Example for the Securitization of Internet Financial Consumer Loans: Research on the Structure and Potential Risk
Authors: Xia Lang , Liu Yuze , Wang Jiayi , Liu Shuhan
Published: July 2024

With the rapid development of internet finance, the consumer lending market has become an important field in the financial industry. As one of the largest consumer financial platforms in China, the securitization structure and potential risks of JD Baitiao have attracted much attention. This article explores the structure and potential risks of securitization of consumer lending in internet finance, using Jingdong White Sheet as an example. Firstly, this article provides a detailed analysis of the securitization structure of JD Baitiao, including the basic concept of asset securitization, the process of asset securitization of Jingdong White Sheet, and its characteristics. Secondly, this article analyzes the potential risks of securitization of JD Baitiao, including credit risk, market risk, legal risk, and operational risk, etc. Finally, this article proposes preventive measures and suggestions for these risks.
Detrending U.S. GDP and Policy Responses to Economic Recessions
Authors: Huang Shuai , Liang Zizhao , Chen Kun
Published: July 2024

The purpose of the article is to verify whether to stimulate investment or consumption when facing a recession in order to stabilize the economy. We use the detrend method and some specific data to analyze the situation. When faced with a financial crisis, some effective measures can help stabilize the economy. To diversify the sample, we include the United States' GDP in 19812022. We tried to predict some trend that might happen in the next few years, but when facing such a financial crisis, it shows a sharp downward trend. We also find that the standard deviation of investment is larger than the standard deviation of consumption, which means that in the short term, its better to stimulate investment since it can be affected a lot. On the contrary, we had better stimulate consumption in the long term because of its stability.
Efficient computation of eigenvalues in diffusion maps: A multi-strategy approach
Authors: Fang Yixiong , Yang Weixi
Published: July 2024

In the pursuit of accelerating the computation of k-largest eigenvalues and eigenvectors, this work presents novel methodologies and insights across three main areas. 1) Speed Arnoldi Iteration Up: By observing existing algorithms, we propose an innovative approach that leverages matrix decomposition to accelerate the computation process. The implementation focuses on iteratively computing orthogonal projections and efficiently storing computed vectors in Krylov subspace. 2) Special Case: Eigenvector for =1: We examine a specific scenario concerning Markov matrices, where the largest eigenvalue is 1. The work provides a detailed proof and analysis of this property, contributing to a deeper understanding of eigenvalues and eigenvectors in the context of stochastic processes. 3) Gaussian Approximation for Markov Matrices: This section delves into the Gaussian approximation for Markov matrices, denoted by P. The work covers theoretical insights, practical challenges, computational efficiency, and empirical validation, providing a comprehensive exploration of this critical method. Together, these sections form a cohesive study aimed at enhancing the computational efficiency of significant algorithms within the field of dimensionality reduction and matrix analysis. The findings may find broad applications in various domains, including image segmentation, speaker verification, anomaly detection, and more.
Enhancing customer behavior prediction in e-commerce: A comparative analysis of machine learning and deep learning models
Authors: Liu Deming , Huang Hansheng , Zhang Haimei , Luo Xinyu , Fan Zhongyang
Published: July 2024

The digital era has transformed the way businesses interact with their customers, with online platforms serving as crucial touchpoints for user engagement. Understanding customer behavior in this context is paramount for enhancing user experience, optimizing marketing strategies, and driving business growth. This study aims to explore the likelihood of customers making purchases based on their clickstream data by employing both machine learning and deep learning techniques. This research uses a machine learning model Random Forest (RF), Gradient Boosting Decision Trees (GBDT), Extreme Gradient Boosting (XGBOOST) and deep learning model Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) to predict whether customers will purchase the items using 33,040,175 records in the file of the click and 1,177,769 records in the buys file from real e-commerce customers. The results show that both machine learning and deep learning can accurately forecast the purchasing behavior of customers with an accuracy of around 72 to 75 percent. For the machine learning model, attains the highest prediction accuracy when using a sliding window of 6 days. For the deep learning model, the LSTM model with 50 layers shows the highest prediction of customers willingness to purchase an item. Compared with previous studies, the three machine learning models narrow the range of days, give more accurate predictions, and also improve the model. Both RNN and LSTM show similar accuracy for customer behavior. The current research has asserted that both machine learning and deep learning models give profound results on whether customers will purchase a product, and there is not a significant difference between machine learning and deep learning in this classification topic.
AI-driven financial risk management systems: Enhancing predictive capabilities and operational efficiency
Authors: Shen Qi
Published: July 2024

The integration of artificial intelligence (AI) in financial risk management systems has revolutionized traditional approaches, providing enhanced predictive capabilities and operational efficiency. This paper explores the various applications of AI in credit risk assessment, market risk analysis, operational risk management, and regulatory compliance. AI-driven systems leverage advanced machine learning algorithms to analyze vast datasets, including real-time market data and non-traditional sources, improving risk predictions and enabling proactive risk management. Scenario simulations, predictive modeling, real-time data analysis, and automated decision-making are discussed as core components of AI-driven systems. The paper also highlights the benefits of AI in automating routine tasks, enhancing data analytics, and ensuring regulatory compliance. By continuously learning and adapting to new data, AI systems offer dynamic risk management solutions that address evolving market conditions and regulatory requirements. This comprehensive analysis demonstrates how AI-driven financial risk management systems can significantly reduce the incidence of loan defaults, enhance portfolio quality, and improve the overall resilience of financial institutions.
Leveraging Conditional Generative Adversarial Networks (cGANs) for enhanced artistic creation: Exploring quality improvement and content control through conditional inputs
Authors: Chen Xianyi
Published: July 2024

Conditional Generative Adversarial Networks (cGANs) have revolutionized digital art by enabling the creation of high-quality, artistically coherent images guided by conditional inputs. This paper examines key factors influencing the performance of cGANs, including the quality of training data, network architecture improvements, and loss function optimization. We introduce a mathematical model to quantify training data quality, emphasizing dataset diversity, data augmentation, and cleaning. Network architectural enhancements such as residual connections, attention mechanisms, and progressive growing are explored for their impact on image quality. Additionally, we discuss the integration of conditional inputs, such as labels and textual descriptions, for precise content control. Challenges in balancing realism with artistic expression, managing mode collapse, and interpreting conditional inputs are also addressed. This study provides a comprehensive framework for enhancing cGAN-generated artworks, offering insights into applications in personalized art generation, art restoration, and collaborative art projects.
基于ARIMA-LSTM-XGBoost组合的矿山排土场沉降预测模型研究
Authors: 高 梓皓 , 智 浩森 , 黄 树林 , 张 世杰 , 纪 舒南
Published: July 2024

为确保矿山排土场边坡安全稳定，提出使用GNSS技术对其沉降量进行监测研究。以华新水泥矿山排土场为例，基于2022年1月1日0点至2022年4月31日23点间每小时采集的历史数据，通过箱线图和累积沉降量时间序列关系图进行数据分析。考虑到单一模型不足、预测精度等问题，选择结合自回归综合移动平均模型（ARIMA）、长短时记忆网络模型（LSTM）和极端梯度提升模型（XGBoost），建立ARIMA-LSTM-XGBoost边坡沉降预测模型，将组合模型预测结果与实际值及单一模型进行对比，并以绝对相对误差(ARE)和均方根误差（RMSE）作为评价指标。研究结果表明：根据历史监测数据，边坡3相较于边坡1与边坡2更为稳定；三个边坡测试样本的ARIMA-LSTM-XGBoost组合预测最大绝对相对误差为4.58%、6.45%、7.55%其误差远小于其他4种对比模型，研究结果可为矿山工程技术人员对矿场边坡沉降预测提供参考。
基于Spearman相关系数法对金融市场变化影响因素的探究
Authors: 李 溱 , 胡 焱禹
Published: July 2024

为了更好地研究金融市场的影响因素，以收集到的数据为研究对象，首先对数据进行预处理，即使用最邻近插值法对缺失值进行插补，在验证数据不符合正态分布以后，选择使用Spearman相关系数法对金融市场变化的影响因素进行分析，通过热力学图发现环境因素与整体股市表现较强的相关性，并对最后的相关性结果进行了Kendall's W检验。该研究结果可为金融从业者提供较为科学的指导依据。
我国航运业碳排放总量构成的影响因素研究与对策建议
Authors: 李 天宇 , 李 星宇 , 张 柏寒
Published: July 2024

2024年全球航运科技大会提出新船订单的新能源动力“标配”改革，标志航运业在碳减排和绿色可持续发展方面迈出了重要的一步。我国的航运业碳排放量仍然相对较高。为全面分析影响船舶碳排放总量的因素，故采用了基准回归分析、滞后期检验以及分位数回归等进行实证分析。结果表明，生产过程产生的碳排放（IPCC）对碳排放总量（CO2H）有正向显著影响，这一影响在两条路径上均得到验证。滞后期检验发现我国航运类上市企业在生产作业方面的减碳努力成果呈现周期性表现，并不直接影响当年碳排放。分位数回归结果显示，无论碳排放总量处于何种水平，我国航运类上市企业在生产过程中的努力仍然远远不够，β值均为正向，且p值显示出强烈的显著性。因此，航运业有必要减少生产运营过程中的碳排放、推广船舶废弃物处理的成功案例和先进经验、加快航运业绿色技术的研发与成果转化等对策建议。
Kemampuan Menulis Teks Persuasi Siswa Kelas VIII MTs Tahfizh Cendekia Pekanbaru Tahun Ajaran 2022/2023
Authors: Tanjung Trivinia , Charlina Charlina , Hermandra Hermandra
Published: July 2024

Penelitian ini bertujuan untuk mengetahui kemampuan menulis struktur dan kemampuan menggunakan kaidah kebahasaan menulis teks persuasi siswa kelas VIII MTs Tahfizh Cendekia Pekanbaru. Metode penelitian ini adalah penelitian deskriptif dengan pendekatan kuantitatif. Sumber data penelitian ini adalah seluruh siswa kelas VIII C (19 orang) dan VIII D (17 orang) dengan jumlah sampel 36 orang. Teknik pengambilan sampel, yaitu dengan menggunakan teknik purposive sampling. Data dalam penelitian ini adalah hasil tes menulis teks persuasi siswa kelas VIII MTs Tahfizh Cendekia Pekanbaru. Teknik pengumpulan data yang digunakan berupa tes keterampilan menulis. Teknik analisis data menggunakan teknik statistik deskriptif. Berdasarkan hasil penelitian yang telah dilakukan bahwa kemampuan menulis teks persuasi siswa dari aspek struktur diperoleh persentase 85 yang merupakan berkategori tinggi. Selanjutnya, kemampuan menulis teks persuasi siswa dari aspek kaidah kebahasaan diperoleh persentase 90 yang merupakan berkategori tinggi. Jadi, kemampuan menulis teks persuasi siswa kelas VIII MTs Tahfizh Cendekia memeroleh nilai rata-rata kelas berkategori tinggi yaitu 86.
Floristic Characteristics of Vascular Plants in Taebaeksan National Park: Study on 10 Different Vegetation Habitats
Authors: Kim Young-Chul , Chae Hyun-Hee , Woo Nam-Gyu , Shin I-Chan ,   Korea National Park Service National Park Research Institute
Published: July 2024

We investigated the flora of Taebaeksan National Park using 10 different habitat vegetation assessments. We identified 788 taxa comprising 109 families, 370 genera, 717 species, 13 subspecies, and 56 varieties. They included six endangered species designated by the Ministry of Environment and 47 Korean endemic taxa. The floristic target plants included 15 grade V taxa and 54 grade IV taxa. The Red Data plants included five taxa classified as “Endangered (EN),” and 11 taxa as “Vulnerable (VU).” A total of 28 taxa were naturalized, and one taxon was an invasive alien plant. Among the 10 assessed vegetation habitats, F8 showed the highest richness with 219 taxa. It is suggested that plant diversity assessments be comprehensively conducted not only with the use of vegetation types but also with location and topographical characteristics. To conserve and maintain plant diversity in Taebaeksan National Park, grasslands, shrublands, and mixed subtree areas need to be evaluated as a priority above 1,400 m. Therefore, we propose to assess all the unique plant habitats distributed in Taebaeksan National Park and implement an appropriate conservation management plan.
Клиническая картина слизистой полости рта у пациентов с ВИЧ-инфекцией до и после комплексного лечения
Authors: Азатян В. Ю. , Азатян В. Ю.
Published: July 2024

Ժամանակակից պրակտիկ ստոմատոլոգիայի կարևոր խնդիրներից են բերանի խոռոչի լորձաթաղանթի (ԲԽԼ) հիվանդությունների ախտորոշման, կանխարգելման, բուժման հիմնահարցերը: Աշխատանքի նպատակն է ուսումնասիրել ՄԻԱՎ վարակով բուժառուների բերանի խոռոչի լորձաթաղանթի կլինիկական պատկերը համալիր բուժումից առաջ և հետո: Հետազոտվել է ՄԻԱՎ վարակով 90 բուժառու համալիր բուժումից առաջ և հետո, որոնցից 9-ը (10%) կանայք էին, իսկ 81-ը (90%)՝ տղամարդիկ, որոնց միջին տարիքը` 45,2 ± 8,34, ինչպես նաև հսկիչ խմբում 100 մարդ՝ 38 (38%) կին և 62 (62%) տղամարդ, միջին տարիքը՝ 37,99±16,66: Հսկիչ խումբը կազմում են ԲԽԼ ախտահարումներ ունեցող անձինք՝ առանց ՄԻԱՎ վարակի:
Among the important problems of modern practical dentistry, the issues of improving the diagnosis, prevention, treatment of diseases the oral mucosa (OM). The aim of the work was to study the clinical picture of the oral cavity in patients with HIV infection before and after complex treatment. 90 patients with HIV infection were examined before and after complex treatment: which 9 (10%) were women and 81 (90%) were men. The average age of the patients was 45.2 ± 8.34, as well as 100 patients in the control group: 38 (38%) women and 62 (62%) men. The average age of patients in the control group was 37.99±16.66. The control group consisted of individuals with lesions of the OM without HIV infection. To study the dental status, patients' complaints and data from a clinical examination of the oral cavity were taken into account, which included: external examination of the lips and corners of the mouth, assessment of the condition of various parts of the oral mucosa. Thus, in a comparative study of lesions of the oral cavity before and after complex treatment for HIV infection, it was found that the main pathognomonic symptoms reliably undergo dynamics towards improvement and are detected with less frequency.
The Research on Wildebeest Effect Based on MBTE Model
Authors: Wang Xinyu , Hong Liang
Published: July 2024

This paper analyzes the Wildebeest Effect on the African savannah, using the Emotional State Transition Model and Bayesian Emotional Transition to construct the MBTE model, and employing MCMC methods for simulation. This model contributes to the study of emotional transitions in psychology.
A review of the ideological relationship between Marx and Proudhon in China
Authors: Liu Na
Published: July 2024

Marx and Proudhon had a profound ideological interaction, which lasted for more than 40 years in terms of time; in terms of content, their ideological interaction involved various aspects such as philosophical methodology, socio-economic theories and social reform programmes. Marx's ideological interaction with Proudhon was almost throughout the process of Marx's gradual construction of his scientific theories, and Proudhon was undoubtedly one of the important figures in the process of Marx's ideological formation. At the same time, the criticism of Proudhon was an important part of the development of Marx's thought, and his ideas had an important influence on the development of Marx's thought.
The Whole Teaching Design of Junior Middle School English Unit under the Big Idea
Authors: Luo Ruihuan
Published: July 2024

"Senior High School English Curriculum Standards (2017edition)" (referred to as "senior high school curriculum standards") for the first time uses the term "big concept" (this paper adopts "big concept"), emphasizing that "the subject concept as the core, make the course content structured, theme-based guidance, make the course content contextualized". In the "Compulsory Education English Curriculum Standards (2022edition)" (referred to as the new curriculum standards in this paper), it is again emphasized that under the leadership of the big idea, under the background of the theme context, and relying on the discourse to cultivate the core quality of English subjects, that is, language ability, cultural awareness, thinking quality and learning ability. Nowadays, the big concept of discipline has set off a research upsurge in the educational field, and how to integrate the whole thinking of big concept into various disciplines or even interdisciplinary integration has become the current research focus. Through studying and sorting out the articles about the major ideas of English subjects in recent years, combined with my own thinking, this paper takes the teaching of "Unit9 I like music that I can dance to" in the eighth grade of junior high School English in the Humanistic Version of Go for it as an example. In order to provide some ideas for the further implementation of big ideas in English teaching, this paper probes into the whole unit teaching method based on big ideas of English subjects.
Research on the Development of Lean Production Digitization in Modern Enterprises
Authors: Peng Chun
Published: July 2024

Lean production is a type of production management that aims to eliminate unnecessary waste, making it possible to reduce costs while maximizing productivity and quality. However, with the development of the times, the traditional lean production model has been gradually replaced by digital lean production. This article reviews the relevant research on digitization and lean production, points out some existing problems, and puts forward relevant feasible suggestions.
A Review of Safety Inspection Methods for Reservoir Dams
Authors: Tang Hao
Published: July 2024

Reservoir dams, as critical hydraulic structures, are also key components of flood control engineering, playing a significant role in China's economic construction and social development. Therefore, the safety of dams is of utmost importance. It is essential to conduct long-term safety inspections of dams during their operational period to detect potential safety issues in advance. This paper discusses various methods for dam leakage detection and dam displacement monitoring, which contribute to the overall safety inspection of reservoir dams.
A Review of FinTech Research in the Context of Digital Innovation
Authors: Chen Ping
Published: July 2024

Fintech, as an important engine for deepening the structural reform of the financial supply side, is profoundly affecting the overall direction of the international financial industry. The study of fintech regulation is of strong practical significance in accelerating the transformation and upgrading of the international financial industry and coping with the new challenges of fintech development in the context of digital innovation. The article utilizes the literature research method to systematically sort out the research results on fintech in China and some extra-territorial countries, and mainly reviews the five aspects of fintech's development motivation, business model innovation, risk prevention, regulatory challenges, and coping strategies. At present, China and overseas countries have fully realized the importance of fintech innovation and development and have launched research discussions, but the research on fintech regulation is still in its infancy, and the depth and breadth of fintech regulation research still needs to be expanded.
The Application of TPR in Primary School English Teaching
Authors: Li Jingwen
Published: July 2024

Initiated by James Asher in 1960s, based on memory trace theory, humanistic psychology and children’s first language acquisition, total physical response is a language teaching method built around the coordination of speech and act. The main teaching actions are to issue commands by teachers and to respond by children. A TPR class has its features: (1) Teachers and children play different roles; (2) Much application of imperative; (3) Mistakes and errors can be tolerated. Teachers should try to engage children’s bodies, senses and imagination in a TPR class. TPR is good for English learning and teaching. The application of TPR will create a safe learning environment for children, activate their learning interest. However, it’s not perfect. It is not suitable for all contents and all ages, and sometimes it may cause disciplinary problems.
Chinese Modernisation and Contemporary Inheritance of Chinese Traditional Art
Authors: Yang Mengyu
Published: July 2024

China's modernisation must pay attention to the role of traditional Chinese culture. Traditional culture is the cultural wealth created by the Chinese nation, with important historical and cultural value, in the process of China's modernisation, the combination and inheritance of traditional culture is indispensable. Chinese civilisation has created countless excellent works of art over the past 5,000 years, and nowadays Chinese traditional culture has become an indispensable factor in contemporary art design with its colourful content and diverse styles, which can only contribute to the harmonious construction of Chinese-style modernisation by combining it with Chinese reality. The application of traditional cultural elements in modern art design plays an extremely important role. The application of traditional cultural elements in art design can innovate art forms and promote the sustainable development of traditional art features. Let its application in art design, with innovative ideas and thinking to better promote the innovative development of art design, and promote the integration of culture and art.
Intelligent Navigation System of Hotel Robot based on Artificial Intelligence
Authors: Chen Zhenggang , Zhang Jiayang
Published: July 2024

With the rapid progress of artificial intelligence technology, robot technology plays an increasingly critical role in many industries, especially in the hotel industry. Its application can not only improve service efficiency, but also enhance customer experience. This research is devoted to the development of an intelligent navigation system for hotel robots based on artificial intelligence. Through the use of machine learning technology, the robot has the ability to autonomously navigate to the guest 's location, and provide services such as carrying luggage, leading guests to rooms or other hotel facilities. The research comprehensively covers the whole process of machine learning modeling, including data exploration and problem analysis, data cleaning, feature engineering, model selection and cross-validation, grid search, model integration, and in-depth thinking on model evaluation. It aims to propose an innovative service solution to improve hotel service efficiency and customer satisfaction, and explore a new path for the application of robots in the service industry.
Study on the path to Accelerate the development of new quality productivity and enable high-quality agricultural development
Authors: Wang Lei , Wang Xueshan , Hu Yaling , Yang Luyuan
Published: July 2024

The 20th National Congress of the Communist Party of China pointed out that the agricultural modernization plan will be realized in 2035. Through the use of new technologies, new equipment and new platforms, the new quality productivity will enable the innovative allocation of traditional agricultural production factors and the deep transformation and upgrading of industries, change the traditional production and management methods, bring digitalization into agriculture, and drive the development of rural agriculture as an inevitable trend. This project aims to explore the new quality productivity to empower agricultural development and promote the path of agricultural development research. This paper will take some towns in Anhui Province as an example to study the impact of digital new quality productivity on agricultural development in Anhui province, collect data from agricultural departments and related departments, establish a regression model for empirical analysis, and analyze from three aspects: the improvement degree of rural digital economic infrastructure, the proportion of new rural talents and talent support, and the development degree of rural agricultural digital commerce. Combined with the agricultural bureau and related data for empirical analysis. On the basis of adhering to ecological priority and green development, it is expected to provide  theoretical support for the comprehensive upgrading of agriculture, the steady growth of rural economy and the all-round development of rural residents, and gather strength for the comprehensive construction of a socialist modern country.
A study on the cultivation of students' innovative thinking ability in junior high school English reading teaching
Authors: Teng Qianqian
Published: July 2024

With the deepening of the new curriculum reform, cultivating students' innovative thinking ability has become an important goal of junior high school English teaching. This paper aims to explore how to effectively cultivate students' creative thinking ability in junior high school English reading teaching. Through the in-depth study of relevant theories and the detailed analysis of specific teaching cases, this paper puts forward a series of effective teaching strategies and methods. These strategies include not only innovative activity design in classroom teaching, but also the improvement of extracurricular reading instruction and evaluation system. This paper holds that the cultivation of innovative thinking ability requires teachers to guide students to question, criticize and think independently in teaching, provide rich reading materials and diversified learning tasks, and stimulate students' learning interest and initiative. Through these measures, it is expected to provide useful reference for English reading teaching, so as to comprehensively improve students' comprehensive English ability and innovative thinking ability, and promote their all-round development.
Study on the Conservation and Utilization of the Three Kingdoms Sites in Jingzhou
Authors: Yang Peijun , Fan Xinyi , Meng Xiangzhi , Zhou Yuying
Published: July 2024

Jingzhou, China boasts a vast collection of relics from the Three Kingdoms period. Through archaeological investigations, these relics are found to be widely distributed, including ancient city walls and moats, and activity centers of historical figures. Exploring these remains can reveal the development of historical events of the Three Kingdoms period, showcasing their significant conservation value. The cultural heritage of the Three Kingdoms relics in Jingzhou is a vital cultural resource for modern city development and must be protected and utilized to its fullest potential.
The Design of Reading Discourse Teaching Based on the View of English Learning Activities: The Case of External Research Edition Compulsory Study 2 Unit 2 Time for a Change?
Authors: Ding Yue
Published: July 2024

The English Curriculum Standard for Senior Secondary Schools (2017 edition) advocates the concept of English learning activities, designing English learning activities with comprehensiveness, relevance and practicability, so that students can acquire, interpret and judge the meaning of the discourse through the language, culture and thinking activities such as learning and comprehension, application and practice, and transfer and innovation, and improve the ability of learning and using English through diversified thinking. In this paper, we analyze the practice of English learning activities in high school English reading teaching from the perspectives of text interpretation, teaching goal setting and activity design and implementation, and explore the practice of high school English reading teaching based on the view of English learning activities, so as to realize the development of students' core literacy in English.
Internet of Things (IOT): Research Challenges and Future Applications
Authors: Pradhan Santosh Kumar ,   Department of Computer Science and Engineering, Shaw Kamalkanta ,   Department of Computer Science and Engineering
Published: July 2024

With the Internet of Things (IoT) gradually evolving as the subsequent phase of the evolution of the Internet, It becomes crucial to recognize the various potential domains for. Application of IoT, and the research challenges that are associated with these applications. Ranging from smart cities, to health care, smart agriculture, logistics and retail, to even smart living and smart environments IoT is expected to infiltrate into virtually all aspects of daily life. Even though the current IoT enabling technologies have greatly improved in the recent years, there are still numerous problems that require attention. Since the IoT concept ensues from heterogeneous technologies, many research challenges are bound to arise. The fact that IoT is so expansive and affects practically all areas of our lives, makes it a significant research topic for studies in various related fields such as Information technology and computer science. Thus, IoT is paving the way for new dimensions of research to be carried out. This paper presents the recent development of IoT technologies and discusses future applications and research challenges. Keywords—Internet of Things; IoT applications; IoT Challenges; future technologies; smart cities; smart environment; Smart agriculture; smart living.
House Price Prediction Using Machine Learning
Authors: VH Gangadharayya ,   Department of Master of Computer Applications (MCA), University BDT College of Engineering, DC Abhishek , NB Naveen , Hussain B Dr.Md.Irshad
Published: July 2024

Predicting house prices is an important research and application area in the fields of real estate economics and social sciences. This study uses statistics that include various characteristics of houses, such as location, size, age and quality, to create a method for estimating house prices. Accurate predictions are achieved through powerful data processing, feature selection and modeling techniques, including background analysis and machine learning algorithms. The results show that factors such as location, size, and neighborhood characteristics have a significant impact on home prices. Additionally, research shows that advanced techniques such as geographic analysis and economic analysis are used to improve forecast accuracy. The findings underscore the importance of using accurate statistics and analytical methods to predict house prices, providing valuable information to stakeholders in real estate investment, urban planning and policy making. This retrospective focuses on summarizing the methodology, key findings and conclusions of research in the field of house price forecasting. Adjustments may be made based on the specific results and methods used in a particular study Keyword: House Price Prediction, Machine Learning.