bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple regression analysis of the mechanism of the role of infrastructure development in rural economic growth
Authors: Zhu Mingda 
Published: July 2024

Abstract
The improvement of China’s economic level makes the society’s requirements and standards for infrastructure constantly improve. In order to effectively promote the rapid development of the rural economy, it is necessary to strengthen the construction of rural infrastructure. This paper provides a comprehensive plan for rural infrastructure construction and analyzes its mechanism of action on rural economic development in depth. Taking rural economic growth as the explanatory variable and infrastructure construction as the explanatory variable, the multiple linear regression model is chosen to analyze the impact of rural infrastructure on rural economic growth. The unknown parameters are estimated by the least squares method. The model is tested and modified based on the diagnostic methods of covariance expansion factor and other covariates to obtain the final results. Through empirical analysis, rural economic growth = -15.1935 + 0.184*rural transportation + 0.0983*rural education + 2.4923*agricultural science and technology + 0.3652*agricultural water conservancy, and agricultural science and technology has the greatest impact on rural economic growth. The local area can improve rural infrastructure in three aspects: investment strength, investment focus, and investment and financing mechanisms.
The transformative role of computer-aided design technology in innovation in the apparel industry
Authors: Sun Ning , Cao Botao , Mu Xichan 
Published: July 2024

Abstract
With its unique advantages, computers are applied to various fields, and the garment industry is no exception. The study explores the role of computer-aided design technology in the apparel industry from the perspective of apparel design, production, and sales. We aim to evaluate the effect of computer technology on clothing design and production by constructing a clothing style migration model based on CycleGAN and evaluating its image style migration effect and aesthetic quality. Then, after completing the research design, we analyze the effect of virtual fitting rooms on consumers’ purchase intentions so as to support the role of computer technology in clothing sales. According to the findings, the clothing style migration model’s generated images are of excellent quality, with an average evaluation score of 6.68, and are acknowledged by nearly 80% of the respondents. All four characteristic elements of the virtual fitting room positively and significantly affect consumers’ purchase intention at the level of 0.01, and perceived risk and perceived value play a mediating role, which explains the process of generating consumers’ apparel purchase intention based on the virtual fitting room. Computer-aided design technology can be utilized effectively in apparel design to boost apparel sales and foster the transformation and advancement of the apparel industry.
Evaluation of the Effectiveness of Combining Virtual Reality and Augmented Reality in Children’s Pharmaceutical Packaging Designs
Authors: Wang Junyao , Abidin Sazrinee Zainal , Kamarudin Khairul Manami , Shaari Nazlina , Yu Mengyao 
Published: July 2024

Abstract
The rapid development of virtual reality and augmented reality technology has brought significant changes to many industries in modern society. In the field of product packaging design, the use of virtual reality and augmented reality technology in product packaging design is becoming more common in the field. Researchers are exploring the use of VR and AR technology in children’s drug packaging, employing augmented reality research that leverages natural features and artificial recognition to construct a model of children’s drug packaging that incorporates VR and AR technology. We analyze the impact of VR+AR on children’s drug packaging. Consumers’ main requirements for children’s drug packaging are bright, strong, practical, fun, novelty, and ease of understanding. The paper’s model, sample Z, ranks 5th in market competitiveness and 1st in technical competitiveness, outperforming competitors A, B, C, and D. This suggests that VR+AR children’s drug packaging still needs improvement in market competitiveness despite its high technical content. In descending order, the design evaluation dimensions score the VR+AR children’s drug packaging as follows: vivid picture (3.193)> texture (3.154) > easy to hold (3.142) > Moderate capacity (3.129) > simple and generous (3.105) > conform to the production process (3.047) > harmonious color (3.044) > convenient for transportation (3.028) > low production cost (3.012). The average score for each dimension of the VR+AR children’s drug packaging experience is approximately 4.46 points.
The interplay between the role of emerging technologies in the field of news communication and brand image building
Authors: Wang Lv 
Published: July 2024

Abstract
Emerging technologies such as big data, the Internet of Things and artificial intelligence are developing rapidly and entering into many fields and industries, while their role in the field of news communication and brand image shaping has an important role in influencing. This paper selects WeChat, a Tencent product, as the research object and divides brand image shaping into four dimensions, namely brand awareness, brand trust, brand loyalty, and brand value, to test the relationship between emerging technologies and brand image shaping. Then, we put forward the research hypothesis of this paper and use empirical analysis to test the hypothesis and the empirical results show that the r-value of emerging technology and brand loyalty is 0.591, p<0.01, which proves that there is a positive correlation between the two. Emerging technologies have a significant positive impact on brand awareness, trust, loyalty, and value.
Exploration of Digital Inheritance Ideas of Chinese Traditional Music Culture in the Information Age
Authors: Wu Wenjing , Tham Jacquline , Khatibi Ali 
Published: July 2024

Abstract
In the era of information technology, with the deepening of cultural heritage protection, the importance of digital technology intervention in traditional art and culture for protection and inheritance has become more significant, and the digital inheritance of Chinese traditional music culture has also received widespread attention. In this paper, we first preprocess the traditional music signal and extract the Meier multifrequency coefficients, then use the feature as the input of the deep confidence network, and then keep tuning the parameter training to get the optimal network model, and finally utilize the obtained optimal model to recognize the traditional music. Based on this basis, this paper focuses on the concept of the digital heritage of Chinese traditional music culture through three steps: recognition, processing, display, and dissemination. We also designed and developed a Chinese traditional music culture APP for Chinese traditional music lovers and inheritors and examined the effect and performance of the APP application based on the music recognition model in this paper. The modeling methods proposed in this paper meet the usage requirements by having accuracy rates above 90%. 73.25% of the audience expressed satisfaction and very satisfaction with the overall application effect of the Chinese traditional music APP. In this paper, the Chinese traditional music digital APP proposes an effective means of communication for the solution of digital inheritance and also provides a realizable path for the digital inheritance of Chinese traditional music culture.
Exploration of Intelligent Transformation Path of Traditional Cultural and Creative Products Based on Internet of Things Technology
Authors: Xu Jia , Zhang Leilei 
Published: July 2024

Abstract
More and more modern technology is applied to traditional cultural and creative industries, which enhances the technicality and novelty of traditional cultural products, and the fusion of culture and modern technology profoundly changes people’s way of life and learning. This paper explores the Internet of Things (IoT) technology and the intelligent transformation process of cultural and creative products and constructs cultural and creative products that integrate intelligent voice series. Specifically, a speech recognition model is integrated into the design process of cultural and creative products, and the designed model is applied to the design of intelligent cultural and creative products by analyzing the Hidden Markov Model (HMM), proposing a solution to the shortcomings of the HMM model, and choosing to perform noise reduction of speech signals through the fixed beam algorithm. Based on the speech recognition model designed in this paper, an intelligent cultural and creative product with a speech recognition function is designed, taking the ‘owl wine container’ from the Shanxi Museum as an example. The regression equation of the audience’s satisfaction with the product is Y (satisfaction) = -0.000263 + 0.208X1 (practicality) + 0.265X2 (innovation) + 0.253X3 (culture) + 0.271X4 (interactivity) - 0.296X5 (fun). This paper’s intelligent cultural and creative products have a greater impact on satisfaction due to their innovativeness and interactive function.
A study on the application of AI in modern interior design and its impact on design efficiency
Authors: Zhao Zijun 
Published: July 2024

Abstract
This paper focuses on the functional characteristics of BIM technology, emphasizing the need to develop a combination of BIM technology tailored to the user’s interior design process. We utilize the hardware and software to establish the BIM technology environment, construct the interior design model using the Autodesk Revit software platform, import it into Lumion for color rendering, and utilize Navisworks Simulate software to gather project data and monitor the interior design project’s progress. Autodesk Ecotect software was used to find out how lighting affected the interior design using BIM technology. Next, an interior layout optimization model based on the improved whale algorithm was made to solve the interior layout problem, and the impact of using AI was confirmed. The data show that the error range for the daylighting coefficient using BIM technology and the old method is between 0.04 and 0.91. The old method takes 131 minutes longer than BIM technology. This means that the BIM-based lighting simulation model pre-processing process is still much more efficient than the old method. Furthermore, this paper maintains all the model’s index values above 0.68, demonstrating the model’s ability to achieve a reasonable interior space layout while simultaneously enhancing both the layout speed and the layout effect.
Research on SVM Analysis Model of Influencing Factors of Employability of Graduates from Higher Vocational Colleges and Universities in Jiangxi Province
Authors: Chen Kaiqiong , Tham Jacquline , Khatibi Ali 
Published: July 2024

Abstract
With the expansion of higher vocational colleges and universities, the difficulty of employment of graduates has become an increasingly serious problem in the development of society. The reason for this phenomenon, in addition to the total pressure, lies in the difference between the knowledge, ability, and quality of college students and the needs of employers. This paper crawls the employment information data of graduates of higher vocational colleges and universities from relevant websites, combines the text classification method based on the SVM analysis model to mine the system of graduates’ employment ability, and takes it as a survey scale. Then Jiangxi Province’s higher vocational graduates were selected as the research object. After testing the reliability and validity of the scale, the scale, combined with independent samples, T-test method regression analysis, and other mathematical and statistical methods to explore the factors affecting the employment ability of graduates of higher vocational colleges and universities in Jiangxi Province. Among them, there is no significant difference in the overall employability in terms of gender and specialty category (P>0.05), while there is a significant difference in terms of having or not having work experience (P<0.05). The training objectives and strategies significantly contribute to the improvement of the professional competence of higher vocational graduates, which is a key factor in the influence of employability. Accordingly, students actively improve themselves at the same time. Colleges and universities should develop training objectives and strategies with the needs of enterprises to give students the necessary career guidance in a timely manner and other countermeasure suggestions.
The Role and Impact of Cross-Border Data Flows in International Business Digital Trade
Authors: Gao Zhongpo , Kang Chengwen , Zhang Xinjian 
Published: July 2024

Abstract
Data is an important production factor in the era of the digital economy, and cross-border data flow is a prerequisite for digital trade. The Digital Services Trade Restrictiveness Index (DSTRI) is the basis of this paper’s research on the impact of cross-border data flow on digital trade. Firstly, cross-border data flow and digital trade are refined into cross-border data flow restrictive measures and digital service trade, and the mechanism of cross-border data flow restriction on digital service trade is investigated. Then, the impact model is constructed based on the gravity expansion model, the variable selection is carried out, the model variables are tested from the perspective of Pearson correlation and multicollinearity, and the optimal regression model is selected. Finally, baseline regression results are derived based on the model, and heterogeneity analysis and robustness tests are conducted. Cross-border data flow restrictions have a correlation coefficient of −2.176 with total digital services, and they have both negative and positive effects on the total trade in digital services. The total trade in digital services in DSTRI is negatively impacted by all policy areas of restrictions, which suggests that restrictions in any policy area can hinder the development of digital trade. When conducting the robustness test, cross-border data flow restrictions still have a significant inhibitory effect on digital services trade, which is consistent with the results of the benchmark regression, indicating that the results of the benchmark regression in this paper are reasonable and valid.
Corporate Financial Risk Identification and Operation Control Analysis for XGBoost Modeling
Authors: Guan Yu , Zong Zhijuan 
Published: July 2024

Abstract
Risks in the financial market are omnipresent, and the operations of listed companies are affected by various factors, so the study of the financial risks of listed companies is also of great significance. In this paper, the statement data of listed companies and the text data of annual reports are used separately. The XGBoost model is used to analyze its classification effect, and the confusion matrix and ROC curve evaluation methods are used to compare the accuracy of the prediction results between the XGBoost model and the GBDT model, which helps corporate managers to identify the financial risks of enterprises in advance, and at the same time, improves the level of operation control. The results show that the accuracy of the XGBoost model fluctuates around 0.85, and the highest accuracy of the model is 0.883 when the number of its features is 21. The results of the confusion matrix assessment show that the accuracy of the prediction results of the risk-free company of the XGBoost model reaches 94.95%, and the accuracy of the prediction results of the XGBoost model increases by 5.15% compared with that of the GBDT model. This is in accordance with the ROC curve evaluation results. Obviously, the XGBoost model has a better prediction effect and a more stable early warning performance, and the use of the XGBoost model can help the managers of listed companies to be informed of the deterioration of the company’s financial situation as early as possible so that they can implement the corresponding operational control measures to reduce losses in time.
ChatGPT in orthodontics: limitations and possibilities
Authors: Lima Nara Grazieli Martins , Costa Lavínia , Santos Patrícia Bittencourt 
Published: July 2024

Abstract
Artificial Intelligence (AI) simulates human intelligence in machines capable of rational response and actions. AI’s growth in healthcare, particularly in dentistry, has been remarkable in aiding clinical practices from appointment scheduling to treatment outcome predictions. In orthodontics, AI effectively handles tasks such as automated landmark detection, diagnosing orthodontic needs, assessing maxillary constriction, and selecting appliances. ChatGPT, an AI-based program by OpenAI, excels in generating human-like responses, making it useful across many applications, including those in dentistry. AI enhances personalised patient communication, supports diagnosis and decision-making, digitises patient data, and aids in disease prevention and treatment. In addition, ChatGPT offers support in personalised care, billing, and patient health monitoring. Patients benefit from its help in finding providers, scheduling initial appointments, accessing health information, improving healthcare access and service effectiveness. However, there are limitations. ChatGPT sometimes produces nonsensical responses and poses privacy risks associated with patient data. Generated medical advice might not therefore match professional expertise. Despite these issues, if trained properly, ChatGPT could significantly enhance medical knowledge dissemination. Future studies should weigh the benefits of AI against its risks, and users must verify AI-generated information with reliable sources to ensure effective patient care.
Controlling a demographic wave in defined contribution pension systems
Authors: Molnár Sándor , Molnár Márk 
Published: July 2024

Abstract
A common problem in systems and control theory is to provide an approximation to non-linear systems. We provide a novel approach as a general solution to this problem originally conceived by Gamkrelidze. We consider and solve a general approximation problem which provides the fundamentals for various switching-type systems thus encompassing a wide range of systems theory problems.
Results on E-quasiconvex Functions for a linear map E
Authors: Benhadid Ayache , Brahimi Mahmoud 
Published: July 2024

Abstract
It is well known that convexity theory and its generalization play an important role and have many applications in mathematical programming. In the previous article [2], the authors studied E-convex and semi-E-convex functions. In the present article, we deal with a class of E-quasiconvex functions and give a weak condition for a lower semi-continuous function on ℝ
n
to be an E-quasiconvex function.
Perlindungan Hukum Terhadap Anak Korban Toxic Parenting Dalam Perspektif Hukum Islam
Authors: Lubis Yulia Khairani , Siregar Fatahuddin Aziz , Gunawan Hendra 
Published: July 2024

The problem in this research is legal protection on children suffering toxic parenting in the Labuhanbatu district in the perspective of Islamic law. The type of research in this study is field research, using qualitative approaches, the primary data source of children to experience toxic parenting in the family in 2021-2022 and the caretaker of the women and child protection services (DPPPA), A secondary source of data consists of books, journals, and documents related to the study. The data-gathering techniques used are interviews, observations, and documentation. The data-analysis techniques use qualitative descriptive. That the protection of law in labuhanbatu district is good enough because there is an institution that serves to protect children: the women's protection and child protection service (DPPPA), by performing socialization, and protecting children by providing mediation services, legal aid, and psychological recovery, according to the 2014 35th act on child protection, while it is the perspective of Islamic law that children should be protected from all that could lead to the exclusion of children's rights, Like the one in QS. At-Tahrim: 66, which is the right to an education, a living, protection, and nurturing, and hampering growth of children, for in the perspective of Islamic law the violent behaviour of children is strictly prohibited except in education and worship, it should fit within some provisions, it is according to Ahmad bin Hanbal that the Prophet SAW forbids such violence as beating and educating children, And also, in the opinion of clerics educating children with violence, is not recommended according to dalil-dalil, both the Qur'an and As-Sunnah. Therefore, legal protection in the Labuhanbatu district is in keeping with an Islamic law perspective that prohibits violent child abuse.
Prevention & management of snakebite envenomation: A qualitative study on perspectives & practices in Maharashtra & Odisha
Authors: Munshi Hrishikesh , Gavhande Millind , Bhad Ganesh , Mohanty Bijayalaxmi , Dash Jagdish Prasad , Madavi Kanna , Bansode Manohar , Mohapatra Amarendra , Mahale Smita D. , Pati Sanghamitra , Sachdeva Geetanjali , Bawaskar Himmatrao S. , Gajbhiye Rahul 
Published: July 2024

Background & objectives
Snakebite envenoming (SBE) is a major public health concern, with India bearing the highest global burden of SBE-related deaths. SBE is concentrated in rural and tribal regions of India, where the knowledge, attitude and behaviour of the dwelling communities largely influence mortality and morbidity. Understanding these factors is crucial to designing effective SBE prevention and management strategies. The present study’s objective was to document the perspectives of community members and practices in selected blocks of Maharashtra and Odisha States regarding SBE prevention, first aid and health-seeking behaviour.

Methods
Between March and April 2022, 28 focus group discussions (FGDs) were conducted. Study sites included Shahapur block in Thane district, Aheri block in Gadchiroli district of Maharashtra, and Khordha block in Khordha district, Kasipur block in Rayagada district of Odisha. Separate FGDs were held for males (n=14) and females (n=14), involving about 8-16 participants above 18 yr. All discussions were audio recorded, and a grounded theory approach was employed to identify key themes from the translated transcripts.

Results
The findings of this study revealed a variety of perspectives and practices determining the SBE burden at the study sites. The findings included insufficient knowledge about snake species and their nature of toxicity, use of non-scientific first aid techniques, inaccessible health care and reliance on traditional healers, non-utilization of prevention methods, varied cultural beliefs and practices, and differential treatments based on gender. The findings have been collated in two simplistic frameworks; barriers to effective prevention and barriers to effective management.

Interpretation & conclusions
SBE burden results from a complex interplay between socioeconomic, cultural, and demographic factors, necessitating a collaborative inter-sectoral effort for adequate control. Through crucial regional inputs and the barriers to prevention and management models, this study provides critical insights and priority intervention areas to strengthen India’s upcoming National Action Plan for Prevention and Control of Snakebite Envenoming (NAPSE) in all high-burden States.