bluuebunny/crossref_metadata_2025 huggingface dataset:
Fault Warning Technology Based on Multivariate Statistical Analysis
Authors: Hu Hao , Feng Fuzhou , Han Junfeng , Zhu Junzhen , Song Chao
Published: June 2024

Traditional data-based modeling methods require obtaining many fault samples for fault warning. However, during the operation of the equipment, there is a large amount of normal operating state data collected while there is a small amount of failure sample data. Therefore, the reliability of failure samples is not high during the operation of the equipment. Multiple statistical analysis and state monitoring techniques, such as principal component analysis, can construct fault warning models with only data under normal working conditions. This article combines kernel transformation with principal component analysis to construct a kernel principal component analysis method suitable for small amounts of fault data conditions, thereby achieving effective early warning of equipment operation abnormalities and faults. This article proposes a fault identification method based on multivariate contribution rate graph to address the difficulty of identifying fault sources, achieving precise identification and localization of fault sources under abnormal working conditions. The research results of this article can lay the foundation for establishing an early warning model for equipment failures.
Industrial Internet Security Protection Strategy Based on the Blockchain
Authors: Sun Hua , Wu Jiale , Yin Yirang
Published: June 2024

With the rapid development and wide application, the industrial Internet integrates a large number of industrial equipment and systems, and involves massive data exchange and processing, which brings security risks such as data leakage, illegal access and system attacks, while improving the production efficiency. The blockchain technology can provide a secure and reliable network environment with its unique decentralization characteristics, data immutability and high transparency. Therefore, based on the blockchain technology, this paper discusses the security protection strategy of industrial Internet, in order to provide theoretical references for the healthy development of industrial Internet.
Theoretical Application of Virtual Reality Technology in Sports Arena Management
Authors: Hui Zhou , Yan Liang
Published: June 2024

This study aims to explore the theoretical application of virtual reality (VR) technology in sports arena management, providing new perspectives and solutions for the modernization of arena management. Combining literature reviews and case analyses, this paper systematically investigates the development of VR technology and its current applications in the sports field. Through comparative analysis, the study discusses the potential value of VR technology in sports arena management. The research includes an in-depth analysis of the core features, application models, and the feasibility of integrating VR technology with arena management. By studying multiple sports arena management cases both domestically and internationally, this research finds that VR technology can effectively enhance user experience, optimize venue operations, improve safety management capabilities, and demonstrate unique advantages in marketing and promotion. The study concludes that introducing VR technology brings innovation to arena management and promotes the digital transformation of the sports industry. However, the application of this technology faces challenges such as cost investment, technological maturity, and user acceptance. Therefore, future research needs to explore how to balance input and output, as well as how to construct a more user-friendly and intelligent sports arena management system.
Design and Practice of The Fire IoT Big Data Application Platform
Authors: Dong Pengfei
Published: June 2024

The Fire IoT Big Data Application Platform is built in accordance with relevant national regulations and standards. Its main functions combine the characteristics of fire control supervision and maintenance, and are designed with Internet of Things technology, big data, mobile Internet and other multimedia technologies according to the current technical status of the fire alarm platform. It is mainly used to solve problems such as the integration of firefighting e-government, normalization of firefighting facility maintenance, and automation of fire fault alarm.
Study on Sustainable Development Strategies for Enterprises: Application of Modular Design and Smart Manufacturing in Low-Carbon Production
Authors: Xiaoyi Duan
Published: June 2024

This paper explores the application of modular design and smart manufacturing in low-carbon production and its impact on the sustainable development of enterprises. Through a case study of Toyota Motor Corporation, it analyzes practices and outcomes in improving production efficiency, optimizing processes, and reducing carbon emissions. The research demonstrates that these strategies enhance economic benefits and strengthen social responsibility, providing a sustainable development path for other enterprises to follow.
Research on Safety Monitoring System for Dangerous Goods Transport Vehicles Based on Wireless Sensor Networks
Authors: Zhang Yuanxia , Long Jun , Xu Bing
Published: June 2024

In line with the safety management requirements for vehicles transporting dangerous goods, a variety of sensors targeting vehicle posture, acceleration, temperature, and more were selectively utilized to construct a wireless sensor monitoring network through sensor detection, Beidou satellite positioning, and remote communication technologies. This network processes and integrates signals from multiple sensors to perform real-time detection of the status of vehicles transporting dangerous goods on their journey. Detected hazardous states are transmitted to the control center and trigger alarms. This monitoring system not only prevents accidents from occurring but also facilitates timely and effective rescue operations in the event of an accident, thereby reducing losses.
Research on Knowledge Graph Construction Technology Based on Intellectual Property Legal Documents
Authors: Han Linrui
Published: June 2024

Amidst the dual thrust of artificial intelligence development and the construction of legal informatization, knowledge graphs are increasingly applied in areas such as judicial judgment assistance, legal retrieval, and question answering. Addressing the heterogeneity of intellectual property rules and the complexity of case semantics, this paper aims to propose a construction method for a legal knowledge graph in the field of intellectual property. This method establishes an ontological framework covering 84 concepts, 89 relationships, and 105 attributes. It then employs the CasRel and BiLSTM-CRF models to extract entities and relationships from 3,713 intellectual property judicial cases, integrating these with the conceptual-level ontology using the TransE knowledge alignment model. Finally, a visualization platform is built on the Neo4j database to display and manage the knowledge graph, and a knowledge reasoning model is developed using the TransD algorithm to facilitate intelligent question answering. The knowledge graph constructed in this study provides a critical knowledge resource for legal research, case analysis, and decision support.
Bibliometrics-based Research Landscape of Artificial Intelligence in Flood Prediction
Authors: Guan Wenling , Cen Haodong
Published: June 2024

Climate change has caused an increasing threat of flood disasters, and using artificial intelligence methods to predict floods is now a hot subject in the field of flood prediction. To find out the current situation of the flood prediction research based on artificial intelligence methods, it is essential to summarise the main research focus and direction at present. 612 references on flood forecasting based on AI methods were selected from the Web of Science Core Collection database. The collected articles were analysed visually using CiteSpace and VOSviewer. The results of the study indicate that the overall trend of publications in AI-based flood prediction studies is increasing. In particular, China, the United States and India are the main contributors to research in this research area. The analysis of collaborating institutions shows that Chinese institutions have high activity in this field. The keywords and term analysis show that the research direction of flood prediction based on AI methods mainly focuses on three aspects, which are flood risk assessment, hydrological information prediction and simulation, and integration and improvement of AI algorithms. In recent years, the integration and improvement of artificial intelligence (AI) algorithms have became as a new focal point of research. The incorporation of multiple machine learning or deep learning methods, as well as using additional algorithms to improve the quality of prediction models have received high attention in this flood prediction. In the future, it is important for research efforts to explore these research avenues further, in order to strengthen China's scientific and efficient response capabilities in the face of flood disasters. This study's results can be a reference for researchers to understand the current landscape and emerging frontiers of AI-driven flood prediction research. It will help guide future research directions and strategies and promote the continued development of this field.
Influencing Factors of Enterprise Digital Quality Management
Authors: Gao Ziwei , Sun Hui , Liu Qiang , Liu Hongshan
Published: June 2024

In the current environment of fierce competition in the global economy, the digital transformation of enterprises has become an important strategy to enhance competitiveness and achieve sustainable development. Digital transformation not only involves production, operation, management and other levels, but also puts forward new requirements and challenges for product quality management. This study aims to effectively implement digital quality management in enterprises, which is essential to ensure product quality, improve customer satisfaction, and maintain corporate reputation. Enterprise digital quality management is an important means for enterprises to improve their management level, optimize production efficiency and service quality, and its successful implementation is affected by many factors. Based on this, this paper uses the literature review method to understand the results and development trends of existing research in the field of enterprise digital quality management, and draws the conclusions of the key factors affecting digital quality management and the relationship between them, which is helpful to reveal how enterprises can effectively manage and improve the core points of product quality in the process of digital transformation. This paper focuses on enterprise digital quality management, analyzes the problems faced by enterprises, and puts forward the path and strategy of enterprise implementation of digital quality management.
The Application of Artificial Intelligence in the Dissemination of Yellow River Culture: Taking the Research Project as an Example
Authors: Cheng Kai , Meng Jiao
Published: June 2024

This article aims to integrate artificial intelligence technology with Yellow River culture communication, facilitating the modernization transformation and widespread dissemination of Yellow River culture. With the rapid development of artificial intelligence technology, its combination with different fields has become a development trend, which provides new possibilities for the spread of Yellow River culture. By focusing on research projects, this study compares traditional research projects with AI-based research projects in the field of Yellow River culture through literature research and questionnaires. Traditional research projects primarily rely on field visits and historical-cultural lectures for knowledge transmission, but they lack interaction, interest, innovation, and personalization. In contrast, AI-driven Yellow River cultural research projects employ artificial intelligence technology along with diverse learning methods and realistic experiences to provide students with more profound, comprehensive, and effective research experiences. This innovative combination not only injects new vitality into the preservation and innovation of Yellow River culture, but also enhances its prominence in contemporary society. Through the exploration of artificial intelligence and research projects, this study offers novel ideas and directions for disseminating and innovating the research approach towards Yellow River culture.
Lane Image Semantic Segmentation Technology Based on BiSeNetV2 Network
Authors: Hu Xiao , Chen Mingju
Published: June 2024

With the rapid development of automatic driving technology, lane image semantic segmentation plays an increasingly important role in intelligent transportation systems. In this paper, a lane image semantic segmentation technology based on the BiSeNetV2 network is proposed. First, we describe the dual-branch structure and feature fusion module in the BiSeNetV2 network, and then elaborate on our improvements in the lane image semantic segmentation task. We incorporated the attention mechanism to help the model grasp the overall structure of the image more effectively and enhance the segmentation accuracy. Simultaneously, we introduce depth separable convolution to decrease computational redundancy and simplify the model's complexity. Ultimately, we performed experiments on the Cityscapes dataset, and the results revealed that the proposed algorithm comprises 1.21× parameters, with an average intersection ratio of 71.4%. At the same time, the network model and algorithm proposed are contrasted with other equally sophisticated techniques. The comparison findings demonstrate that our approach successfully enhances the accuracy and real-time performance of lane image segmentation in comparison to alternative methods.
Research on Image Classification of Pathology Based on Deep Learning
Authors: Wuzhao Runcheng , Gong Gao , Cao Shi , Chen Chaomin , Wang Wei
Published: June 2024

Histopathological image classification based on in-depth study is one of the significant methods for diagnosing diseases. Pathology image information is complex, diverse, and has a large number of features, which leads to difficult classification and low diagnostic accuracy. Building computer-aided diagnostic tools using image processing and artificial intelligence techniques can dramatically improve pathologists’ productivity and reduce error rates. The classification methods for histopathological images mainly included the traditional machine learning methods based on manual feature extraction and deep learning-based pathology image classification methods. The classification accuracy of principal component analysis (PCA), random forest (RF), and support vector machine (SVM) in the traditional machine learning methods were 99.05%, 88%, and 80-85%, respectively. In the deep learning method, the classification accuracy of the convolutional neural network GoogleNet, AlexNet, and deep residual network ResNet is 91%, 99.74%, and 97.4%, respectively. Compared with the shortcomings of traditional classification methods of pathological images, the histopathology image classification methods of deep learning have obvious advantages, but there is also over-dependence on data labeling, feature extraction, and algorithm models, which need to be improved and improved in the future.
Advantages, Challenges, and Planning of Virtual Reality Technology in Education from a Constructivist Perspective
Authors: Wang Yuanrong , Wang Tingmei , Shen Haiwei
Published: June 2024

Virtual reality technology, as a new educational model supported by modern information technology, has the potential to enhance the quality and rationality of education continuously. Starting from the application potential of virtual reality technology in education, this paper, combined with constructivist theory, explores the integration advantages, challenges, and planning of virtual reality technology and education. Constructivist theory emphasizes that learners acquire knowledge through context, collaboration, and meaning construction, while virtual reality technology provides learners with immersive learning environments, promotes exploratory activities, facilitates collaborative communication, personalized learning, and practical operations, thereby deepening understanding and application of knowledge. However, virtual reality technology still faces challenges in education such as a lack of teaching resources, inadequate teacher training, and equipment stability. To address these challenges effectively, it is suggested to establish unified standards to promote resource sharing, build high-quality teacher teams, address equipment technical issues, and enrich user practical experience. These measures will help promote the development and application of virtual reality technology in the field of education.
Research on the Construction and Utilization of University Library Network Databases in Xi'an City
Authors: Zhang Yindan
Published: June 2024

This paper aims to conduct theoretical research on the construction and utilization of university libraries’ network databases in Xi'an City, in order to enhance the level of information services and user satisfaction. Through methods such as literature review, theoretical analysis, and expert interviews, this study investigates the status, problems, and development trends of network database construction in university libraries in Xi'an City. It explores the utilization patterns, technological support, and service strategies of university libraries’ network databases. the study reveals that the construction of network databases in university libraries in Xi'an City faces various challenges, including resource development and integration, technical support and maintenance, service innovation, and personalization. To address these issues, this paper proposes a series of theoretical discussions and suggestions, including rational planning of network database resources, strengthening technical training and team building, and promoting service innovation and personalized demand satisfaction. The research results provide theoretical guidance and practical references for the construction and utilization of university libraries’ network databases in Xi'an City, contributing to the improvement of the quality of information services in libraries and meeting users' diverse and convenient information needs. However, further research and practice are necessary to improve and optimize the construction and utilization of university library network databases.
AI Technology Promotes Innovative Application Research of Simulated Interview Platform
Authors: Sun Ruizi , Sun Yiran , Kong Yuqing , Wang Xiangyi , He Liya , Liu Chunyu , Gao Jianing
Published: June 2024

With the number of college graduates increasing year by year, the employment situation is becoming more and more severe. Whether it is for college or employment, the interview is used as a criterion for talent selection. Through investigation and literature research, the team found that fresh graduates lacked relevant interview experience, and the interview training market developed slowly. At present, AI technology is mature, AI+ education is well-known by the public, policy support is strong, and development prospects are good, AI technology can promote the development of the interview training market to a certain extent. Therefore, in view of the large number of interview demand groups and the immature market situation of simulated interview products, the form of the simulated interview platform is innovated through the design of anthropomorphic AI interviewers, the creation of interesting and challenging sections, and the multidimensional evaluation of the interview process by AI, so as to help users improve interview skills, enrich interview experience and improve interview ability.
Evaluation of Greenhouse Vegetable Planting Efficiency Based on DEA Method
Authors: Lyu You , Zhang Zhenwei
Published: June 2024

The modernization of agricultural technology holds an important position in achieving sustainable agricultural development. Practice has shown that greenhouse agriculture will play a significant role in future agricultural development. This study utilized data envelopment analysis (DEA) to evaluate the production efficiency of greenhouse vegetable cultivation. An efficiency evaluation model was established with greenhouse temperature and light radiation intensity as input indicators, and fruit yield, soluble solids content, lycopene content, and sugar-to-acid ratio as output indicators. Based on the environmental and production data collected from the greenhouse, the DEA Frontier software was used to calculate planting efficiency. The optimal production input was determined through result analysis to achieve the highest planting efficiency. Furthermore, optimization was conducted for production methods with lower efficiency, providing reference and basis for technological innovation in greenhouse agriculture.
Research on the Development Strategy of New Rural Collective Enterprises to Assist Rural Revitalization - Taking Lujiatun Township of Xinmin City as an Example
Authors: Yongxin Zhang , Yitian Qu , Haiyan Yuan
Published: June 2024

Rural collective economy is in a fundamental position in the national economy, and the development and expansion of rural collective economy is the key to solving the current rural social problems and revitalizing the countryside. Under the political environment of rural revitalization strategy, the collective economic development of Lujiatun Township in Xinmin City is facing new opportunities and challenges, and it is of great practical significance to study the problems and countermeasures facing the collective economic development. This paper takes Lujiatun Township of Xinmin City as an example, investigates the current situation of collective economic development in Lujiatun Township of Xinmin City, analyzes the favorable conditions and unfavorable factors for the development of collective enterprises, and puts forward relevant suggestions for it, actively creates a good governance of the countryside with a beautiful scenery and people, and continuously strengthens the sense of well-being and obtainment of the people.
Study on the Discovery and Properties of Anticancer Fibrinolytic Active Protein from Sympiezomias velatus Chevrolat
Authors: Zhang Shuaiying , Ouyang Yerui , Zhu Lei , Zhang Yizi , Liu Jiantao
Published: June 2024

Sympiezomias velatus Chevrolat, commonly known as the cereal leaf beetle, is an insect pest that mainly affects tobacco crops. Feeding on tobacco leaves, it causes significant economic losses and impacts tobacco production. Due to its wide distribution and high adaptability, S. velatus has become an important model organism for studying croppest control and ecological adaptability. In this experiment, S. velatus was used as the research subject. The crude protein of S. velatus was isolated and extracted using the ammonium sulfate partial salting-out method. The protein activity was assessed using the fiber active plate method. The results demonstrated that three different concentration gradients of crude protein exhibited strong fibrinolytic activity. The optimum temperature for protein activity was found to be 35℃, while the optimal pH was approximately 7.0. Fe3+ significantly inhibited the activity of the fibrinolytic active protein in S. velatus, whereas Ba2+ showed a slight inhibitory effect on βME. Na+ and EDTA did not exhibit any impact. MTT experiments revealed that the fibrinolytic active protein displayed a certain inhibitory effect on cancer cell growth. This study provides valuable references for other research on S. velatus.
Research on Plant Landscape Art Design in Modern Urban Landscape Architecture
Authors: Weiqi Li , Hanhan Zhou
Published: June 2024

In modern urban landscaping, plant landscape design plays a crucial role in protecting the urban ecological environment, improving urban cultural quality, enhancing the quality of life of citizens, and promoting urban economic development. With the development of the times and changes in ideological concepts, the plant landscape design in modern urban gardens has shown a new development trend of paying more attention to understanding the laws of plant evolution, making moderate adjustments in accordance with the laws, and fully protecting the natural characteristics of plants. At present, in order to enhance the artistic design effect of plant landscape in modern urban gardens, strategies such as clear design goals, scientific planning and layout, rational allocation of plants, strengthening ecological design, enhancing citizen participation, and continuous evaluation and improvement can be continuously optimized. This can better meet the needs of modern urban construction.
Prediction of Radiation-induced Lung Injury in Postoperative Breast Cancer Patients with Intensity-modulated Radiotherapy based on Radiomics and Dosiomics
Authors: Mo Li , Lin Ling , Liang Liuke , Fu Qingguo , Huang Suning , Yang Haiming
Published: June 2024

This study aims to establish a prediction model for radiation-induced lung injury in postoperative breast cancer patients with intensity-modulated radiotherapy (IMRT) by combining CT-based radiomics with dosiomics. A retrospective analysis was conducted on 79 female breast cancer patients diagnosed and treated at the Affiliated Tumor Hospital of Guangxi Medical University from September 2019 to October 2022. CT images, treatment plans, and clinical follow-up data of these patients were collected. The affected lung was taken as the region of interest (ROI), from which 3384 radiomic and dose radiomic features were extracted. 25 prediction models were constructed using 5 feature extraction methods and 5 classifiers. The ‘fsv-Logistic Regression model’ emerged as the optimal combination, with the training set AUC values of 0.822, 0.844and 0.898, and validation set AUC values of 0.752, 0.752and 0.914. The combined model demonstrated superior predictive performance compared to individual radiomics or dosiomics models. The results of this study show that, CT-based radiomic features combined with dosiomics enhance the predictive efficacy of radiation-induced lung injury in postoperative breast cancer patients with IMRT.
Comprehensive Review on the Etiology and Early Detection Methods of Oral Cancer
Authors: Ruan Chenglu , Cai Qiongqiong , Lin Guanghua , Xiong Jianying
Published: June 2024

Oral cancer is a prevalent malignant tumor with a multifaceted etiology, often detected at advanced stages, thus hindering treatment efficacy. This comprehensive review aims to elucidate the etiology and early detection methods of oral cancer to enhance understanding of the disease's characteristics and recent research progress. Genetic factors, environmental exposures, and lifestyle choices are pivotal in oral cancer pathogenesis. Mutations in genes like TP53, EGFR, and p16INK4a are pivotal, alongside environmental factors like tobacco and alcohol consumption, chronic inflammation, and HPV infection. Early detection is paramount for effective treatment, with emerging methods including serum, salivary, and tissue markers, and advanced imaging techniques such as oral endoscopy and CT scans. An in-depth comprehension of oral cancer pathogenesis and diverse early detection methods promises improved diagnosis rates, better treatment options and enhanced survival and quality of life for patients.
Interpersonal Conversation Analysis of Physician Identity Construction Based on Doctor-patient Corpus
Authors: Guo Li , Zhang Nan
Published: June 2024

In recent years, the use of identity construction theory to study institutional conversation has become one of the research hotspots in the field of pragmatics. Based on the real doctor-patient conversation corpus, this study analyzes how doctors construct their identity in the special context of doctor-patient conversation from the perspective of interpersonal pragmatics. This article first summarizes the four main identities that doctors construct in conversation: expert, comforter, educator and equal partner. Then, based on the four identities constructed by doctors, it analyzes whether gender factors affect the construction of different individualized identities of doctors. This research will provide a reference for doctors to choose a suitable conversational identity. It is hoped that this research will help doctors and patients better understand each other’s communicative intentions and play a role in promoting the realization of a harmonious doctor-patient relationship.
Research on the Current Situation and Improvement Strategies of Health Literacy among Rural Residents in Jiangxi Province
Authors: Yougen Wu , Liang Wei , Jiayan Gui , Hanting Zhang , Yujin Liu
Published: June 2024

To investigate the health literacy level of rural residents in Jiangxi, it analyzes its influencing factors, and provides reference for carrying out health literacy education for rural residents in Jiangxi. A mixed online and offline questionnaire survey was conducted to assess health literacy from four aspects: mastery of health knowledge, health behavior habits, health attitudes and values, and mastery of health skills. Rural residents in Jiangxi scored 24.23 and 27.52 in terms of health knowledge and health behavior habits, accounting for 80.77% and 91.73% of the project, respectively. They scored 15.48 and 14.36 in terms of health attitudes and values, and health skills, accounting for 77.40% and 71.80% of the project, respectively. The health information literacy of rural residents in Jiangxi is at a lower-than-average level. It is necessary to further improve the health education system, expand health education channels, enhance health education strategies, enhance residents' health confidence, strengthen the practical application of health management knowledge and skills, in order to improve the health information literacy level of rural residents in Jiangxi and promote high-quality development of rural revitalization.
Study on the Effects of Sports Game Intervention on Social Communication Ability of Children with Autism
Authors: Liang Tian , Kaixin Liu , Huanxiang Ding , Kuifeng Gao
Published: June 2024

Through literature, field observation, experimental method, mathematical statistics, the article provides intervention training on sports, gaming, and social skills for 20 eligible children with autism in a rehabilitation institution in Linyi City. Tracking experiment observation for 6 months on 20 children, training content is special sports activities, rhythmic exercises, and collective cooperation game. With the help of evaluation tools for 20 autistic children social communication ability before and after intervention evaluation and analysis. Research results: comparative analysis of scales showed that 10 children with autism in the experimental group had significantly improved social skills in sports games 6 months after intervention, while the social skills of 10 children with autism in traditional physical education courses did not change compared to the intervention. By comparing the scale scores of the experimental group and the control group after 6 months, it was found that there was a significant difference in social communication skills between the two groups of children with autism. Thus, the conclusion: sports game intervention for autistic children social communication ability development has improved effect.
Preparation and Evaluation of Florfenicol Nanocrystals for in Vivo Intestinal Absorption
Authors: Gong Guanli , Li Huan , Luo Jiaoyan , Ban Junfeng
Published: June 2024

Initiatives to avoid or reduce the use of antibiotics have a positive significance, and maximizing the retention of the effectiveness of existing antibiotics is one of the effective measures that can be taken in the field of food animal husbandry. A "top-down" method was used to prepare florfenicol nanocrystals, which appeared as irregular prismatic structures under electron microscopy. The particle size measured by laser diffraction was (291.9±2.9) nm, and the zeta potential value was - (23.63±1.64) mV. The absorption results in vivo showed that florfenicol was absorbed in the duodenum, jejunum, ileum, and colon, but primarily in the duodenum. The effective permeability coefficient (Peff) of florfenicol increased to 1.8 times that of the bulk drug group after being prepared as nanocrystals. The above research results indicate that nanocrystal technology has a promoting effect on the intestinal absorption of florfenicol.
Value of miR-21 and miR-141 in Evaluating the Efficacy and Prognosis of Thoracoscopic Lobectomy for Early-Stage Lung Cancer in the Elderly
Authors: Zhang Tao
Published: June 2024

The effectiveness and prognosis of thoracoscopic lobectomy in sennior individuals with early-stage cancer were evaluated by assessing the value of microRNAs (miR)-21 and miR-141. A total of 116 sennior individuals with early-stage cancer were divided into two cohorts based on the surgical effect: the observation cohort (effective) and the control cohort (ineffective). Moreover, 80 healthy individuals who underwent medical examination were selected as the comparison cohort B. The levels of serum miR-141serum miR-21 and were assessed in all participants. The comparison revealed that the highest levels of these two serum biomarkers were observed in control cohort A, followed by the observation cohort, and the lowest levels were found in control cohort B (P<0.05). The receiver operating characteristic curve (ROC) analysis showed that the area under the curve for individual assessment of miR-141 and miR-21 in predicting efficacy and prognosis were 0.838 and 0.740, respectively. The sensitivity and specificity for miR-21 were 85.3% and 76.2%, respectively, while for miR-141, they were 53.7% and 85.1%, respectively. These findings suggest that serum miR-21 and serum miR-141 are closely associated with postoperative efficacy and prognosis in individuals with early-stage cancer. Both miR-141 and miR-21 can serve as biomarkers for evaluating effectiveness and prognosis.
A Review of the Development of Glucocorticoid Testing Methods in Doping Control
Authors: Wang Yirang , Fan Jingyi , Zhou Wanggeng , Liu Bing
Published: June 2024

Glucocorticoids (GCs) are naturally occurring hormones in the human body, known for their anti-inflammatory and immune-regulating functions. However, they have also been misused as performance-enhancing drugs in sports for an extended period. This comprehensive review delves into existing literature to gain insights into the metabolic pathways and negative feedback mechanisms of glucocorticoids in living organisms. One key area of focus is the performance of GC-C-IRMS assays in identifying glucocorticoids. The review critically examines the effectiveness of these assays and sheds light on their potential impact on detecting glucocorticoid abuse in sports. Furthermore, the limitations of current GC assays are thoroughly evaluated, providing a comprehensive understanding of the challenges associated with accurately detecting glucocorticoids. In addition to the present shortcomings, the review also explores future trends in the detection of glucocorticoids. It offers a forward-looking analysis of potential advancements in assay techniques and other innovative approaches that could enhance the detection capabilities in this field. By addressing the current limitations and outlining future possibilities, this review contributes to the ongoing discussion on mitigating the misuse of glucocorticoids in sports through improved detection methods.
Standardized Construction Situation and Influencing Factors of Rabies Post-exposure Prophylaxis Clinics in Guizhou Province
Authors: Nie Lan
Published: June 2024

The aim of the research is to understand the current situation of the standardized construction of rabies exposure and disposal clinics in Guizhou Province, and analyze its main influencing factors. Census and multi-stage sampling methods were adopted to investigate the setting of exposure treatment outpatients in province, city, county and township in Guizhou Province. The coverage rate of rabies exposure treatment clinics was 78.13%. 16.00% of clinics had no 24-hour duty or telephone duty system. 74.00% of outpatient informed consent forms or registration information for rabies exposed populations were not filled out in a standardized manner. And 12.12% of clinics of township (community) had no wound irrigation equipment. Among the influencing factors, capital investment was the most notable (100%), followed by human resources (90.42%) and inattention of leadership (75.00%). The failure of rabies exposure treatment clinics to achieve standardized construction is mainly manifested in the lack of functional divisions, incomplete wound treatment equipment, and imperfect clinic systems. Health expenditures, leadership attention, and human resources are the main factors affecting the standardized construction of clinics.
Prevention and Treatment of Postoperative Pulmonary Complications in Elderly Patients with Lung Cancer and Esophageal Cancer
Authors: Huang Zhixin , Ren Zhanliang , Ren Xiaopeng
Published: June 2024

This research aims to investigate strategies for mitigating and treating post-surgical lung complications among patients suffering from lung and esophageal cancers. In this study, 50 senior patients diagnosed with lung and esophageal cancers who underwent surgical tumor removal at our institution between September 2022 and January 2024 were utilized as research subjects. Employing a numerical blind assignment technique, these patients were segregated into two groups: one consisting of 25 patients receiving standard care (control group), and the other comprising 25 patients subjected to specialized care aimed at preventing pulmonary complications (observation group). A comparative analysis was conducted to evaluate clinical metrics, life quality, and the prevalence of pulmonary complications among the groups. Results: Metrics such as the duration of rehabilitation and the rate of pulmonary complications were found to be significantly improved in the control group compared to initial expectations, as evidenced by statistical significance (P<0.05). Furthermore, the life quality evaluations revealed that the observation group achieved superior outcomes relative to the control group (P<0.05). Therapeutic interventions targeting pulmonary complications have been shown to significantly mitigate the decline in postoperative lung function in elderly individuals diagnosed with lung and esophageal cancers, enhancing their recuperation rates and substantially improving their life quality. Consequently, such treatments are recommended for broader clinical adoption.
Application and Effect Evaluation of Cholangioscopy in the Treatment of Complex Bile Duct Stones
Authors: Hu Jianfei , Yue Wenjin , Zhang Tiequan
Published: June 2024

With the advancement of medical technology, choledoscopy has become an important means for the treatment of complex bile duct stones. This article comprehensively evaluates the application effect of cholangioscopy in the treatment of complex bile duct stones. The principle, operation process and application of cholangioscopic technique in the treatment of different types of complex bile duct stones are introduced in detail, compared with traditional surgical methods. Studies have shown that choledoscopy has shown good therapeutic effects in stone clearance, complication rate and patient satisfaction. However, the technology still faces certain challenges, and it is necessary to further optimize the operation process and improve the accuracy of the technology. The purpose of this article is to provide a reference for the clinical treatment of complex bile duct stones and to promote the development and application of cholangioscopy.
Soil Screening Study of Soil Pollution Risk of Closed Enterprises in Mentougou District, Beijing
Authors: Zhang Dan , Liu Yanhui
Published: June 2024

In order to grasp the soil environmental pollution risk of closed enterprises in Mentougou District, this study targeted 32 industrial enterprises in Mentougou for soil environmental pollution risk screening. Through pollution identification, field investigations, personnel interviews, drilling sampling, and analytical testing, 19 closed enterprises that met the sampling conditions were sampled and analysed, collecting a total of 132 soil samples (including 17 parallel samples). The survey results show that the pH values of the soil from various enterprises ranged between 7.10 and 8.45. Heavy metal detection indicators (arsenic, cadmium, copper, lead, mercury, nickel) in soil samples and petroleum hydrocarbons measured in individual plots did not exceed the screening value standards for the first category of land in the "Soil Environmental Quality Risk Control Standard for Construction Land Soil Pollution (Trial)" (GB 36600-2018). Overall, the soil environmental pollution risk faced by closed enterprises in Mentougou District is controllable.
Analysis on Safety Management Methods and Effective Countermeasures of Power Engineering in Power Supply Enterprises
Authors: Bian Gaomin , Dong Huizhong , Zhang Weilong , Liu Shuna
Published: June 2024

With the increasing of social electricity consumption, power engineering is gradually facing severe challenges in the process of development. Due to the complexity and particularity of power engineering, in the actual construction process, some construction management units, construction units fail to implement the relevant safety management regulations, easy to cause safety accidents, safety management issues are very important. Therefore, this paper discusses the current safety management of power engineering construction site from the perspective of power supply enterprises, and analyzes the current safety management status of power engineering from three aspects: personnel safety awareness, safety education and training, and safety management methods. In view of these three aspects, management methods and effective countermeasures such as establishing safety awareness of all staff, strengthening safety education and training, improving safety risk prevention and control system, strengthening outsourcing team management and construction site management and control are proposed, which provide reference and suggestions for the healthy and stable development of the power supply industry.
Comprehensive Evaluation of Civil Aviation Senior Inspector Competence Based on Cloud Model
Authors: He Hang , You Shuai , Li Weichun , Gao Bo
Published: June 2024

The role of senior aviation inspectors as exemplar leaders in industry regulatory enforcement plays a crucial role in enhancing the regulatory enforcement capabilities of all inspectors, consolidating the "three foundations" of civil aviation regulatory work, and advancing the modernization of the governance system and governance capabilities in the civil aviation industry. To evaluate the work of senior aviation inspectors better, a competency assessment indicators system for senior inspectors was constructed based on the foundation of "One Quality, Three Capabilities" combined with job requirements. Finally, a comprehensive evaluation cloud chart generated by the cloud model was used to assess the competency levels of senior aviation inspectors. Applying this method to evaluate the comprehensive capability of senior inspectors in a certain regulatory bureau, the results indicate that the integrated competency of the senior inspector is close to an excellent level, with outstanding professional competence reaching an excellent level, while other competencies are at an above-average level. The evaluation results align with the actual work performance of the senior inspector, validating the rationality of the evaluation indicators system and the applicability of the evaluation method. The evaluation results can serve as a reference for the performance appraisal of senior inspectors and the improvement of inspector capabilities.
Research on a Fully Digital Simulation Training System for Power Communication EPON Equipment
Authors: Liu Lu
Published: June 2024

With the continuous application of EPON (Ethernet Passive Optical Network) technology in the power communication network, communication operation and maintenance personnel urgently need to carry out equipment practical training and skill drills regularly. In response to the problems of high investment and maintenance costs, low training implementation efficiency, and difficulty in efficient practical exercises for equipment operation and fault handling in EPON training equipment, this article designs a solution for a fully digital EPON equipment simulation training system, and proposes simulation methods for software functions of EPON equipment such as OLT (Optical Line Terminal) and ONU (Optical Network Unit). It also proposes simulation methods for hardware appearance and interactive operation of the equipment, and further proposes a synchronization mechanism for software function and hardware feature simulation. The simulation training system developed based on this scheme not only comprehensively simulates the hardware interaction characteristics and communication logic characteristics of the equipment, but also has the ability to organize and implement large-scale, scenario based, and efficient skill training, fully supporting EPON equipment skill training and drills, and achieving rapid improvement of communication operation and maintenance personnel's skill level and work ability.
Research on Employee Behavior Safety and Product Quality Control Based on Evolutionary Game Theory
Authors: Huang Suguo , Hu Yuanli , Yang Jiejie , Yang Liping , Luo Min , Xu Xuesha
Published: June 2024

Ensuring the safety of employee behavior and maintaining product quality control are vital components of effective enterprise management. Conventional management approaches may fall short in adequately addressing these critical aspects. With the rapid evolution of the internet, the online retail sector is experiencing unprecedented growth. This surge, rooted in e-commerce, is reshaping traditional business paradigms and propelling a shift in economic frameworks. Through a case study focused on apparel products, this research utilizes questionnaire surveys to gather data, employs evolutionary game theory to construct pertinent models, conducts in-depth analysis, draws conclusive insights, devises actionable strategies, and introduces a fresh perspective to comprehensively address issues concerning employee behavior safety and product quality control.
COMPARATION OF LABORATORY AND IN-SITU TEST RESULTS OF MECHANICAL AND DURABILITY CONCRETE PROPERTIES FOR STADIUM STRUCTURE
Authors: Ćećez Marko , Šahinagić-Isović Merima , Selimotić Mili
Published: June 2024

One of the key issues for concrete structures exposed to weathering, besides all other loads, is durability of concrete. The most exposed concrete structures are stadiums. Destruction mechanisms for concrete structures defined by EN 1504 are: mechanicalactions, chemical action, physical action, corrosion of reinforcement and fire. In this paper, the tests conducted on the case study stadium "Rodjeni" in the city of Mostar, are presented. The stadium consists of three grandstands, built in different periods, but with concrete of the same quality and class. North grandstand is 17 years old, west grandstand is 14 years old, and east grandstand was built in 2022. A series of in-situ tests to evaluate mechanical and durability properties were implemented, primarily on north and west grandstand. In addition to in-situ tests, laboratory tests were conducted on the same concrete, to evaluate mechanical and durability properties in laboratory conditions. These results are compared and presented in this paper.