bluuebunny/crossref_metadata_2025_split huggingface dataset:
A strategy study based on artificial intelligence data analysis of rural governance into tourism industry development research
Authors: Pan Hong , Wei Tingting , Li Li 
Published: September 2023

Abstract
Exploring the strategy of integrating rural governance into tourism industry development is to provide industrial support to realize rural revitalization. This paper introduces recurrent neural networks and long and short-term memory neural networks under deep learning techniques, including their specific structures and basic principles, starting from artificial intelligence grading techniques. The basic principle of the attention mechanism is explained, and the components of the basic attention mechanism model structure and the steps of processing data are given. The ATT-LSTM analytical prediction model is jointly constructed using the attention mechanism and the long and short-term memory neural network, and the model’s prediction process and overall structure are given. The ATT-LSTM analysis model was used to analyze the data related to developing rural governance integrated tourism industry using county S as an example. From the satisfaction data, the percentages of very good, good, average, and poor ratings are 9.32%, 24.51%, 39.28%, and 26.89%, respectively. In terms of promotion and publicity, the percentage of visitors introduced by friends and family increased from 25.64% in 2017 to 33.58% in 2020, an increase of 30.97%. This shows that the use of artificial intelligence technology can effectively analyze the impact related to the integration and development of rural governance and the tourism industry and should be complemented by industrial advantages and natural resources to tap into local folk culture and thus promote the prosperous development of the tourism industry.
Study on the Flipped Classroom Teaching Model of “Business English Translation” in the Context of Big Data
Authors: Li Qi 
Published: September 2023

Abstract
As a new teaching method born in the changing times, the flipped classroom also provides a new way to reform the teaching mode of business English translation. In this paper, we propose a new neural machine translation model--TwinGAN model, which includes two generators and two discriminators and combines “similarity selection” and “strategy gradient” of reinforcement learning and adversarial learning strategy of the generative adversarial network to improve the translation quality of the model. The model combines “similarity selection”, “policy gradient,” reinforcement learning, and the adversarial learning strategy of the generative adversarial network to improve the translation quality of the model while mitigating the exposure bias problem to improve the translation performance of the model further. Finally, the learning-assisted translation system based on the TwinGAN model is combined with the deep learning-based flipped classroom teaching model and applied to business English translation teaching. In the eight-week teaching test, 38.16% of the students in the experimental class achieved excellent learning levels in the first week of the test, and 57.47% in the eighth week of the test, an increase of 18.55% compared with the first week. In contrast, 36.48% of the students in the control class reached an excellent level in the first week of testing, and 35.73% in the control class reached an excellent level in the eighth week. The flipped classroom model based on deep learning is effective in teaching effectiveness.
Intelligent algorithm-based analysis of corporate financial decisions in the era of cloud accounting
Authors: Zhong Qi’an , Fan Kaifang 
Published: September 2023

Abstract
The development of cloud computing technology has promoted a new information technology revolution, and the arrival of the cloud accounting era has brought new ideas to enterprise financial decision-making. This paper first introduces the improved swarm intelligence algorithm grasshopper optimization algorithm optimization, using reverse learning the Levy flight mechanism to improve the global search ability of the original grasshopper algorithm, using the Gaussian variation mechanism to increase the diversity of the population to achieve algorithm optimization. The IGOA algorithm is then used to optimize the internal parameters of KELM by dynamically adjusting the optimal parameters based on the training set data through a 5-fold cross-validation analysis to evaluate the external classification performance. Then the factors affecting the financial decision analysis and the financial decision process in the cloud accounting era are introduced, and finally, some problems in traditional enterprise decision methods and the impact of intelligent algorithms on enterprise financial decisions are analyzed. In terms of the existing problems, the main ones are: 83% of them think that the traditional enterprise decision-making methods need to be innovated, and 83% of them think there is a shortage of professionals with professional financial decision-making expertise. On the impact of intelligent algorithms on enterprise financial decision-making, 88% think that the decision analysis dimension has been broadened based on intelligent algorithms, and 85% think that the decision risk has achieved fine control. The development and application of intelligent algorithms and cloud accounting technology have an important and positive effect on the financial decision-making mode of enterprises.
Construction of intelligent practice system of college Civics teaching based on VR technology in the information age
Authors: Liu Lina , Kang Chao 
Published: September 2023

Abstract
Exploring the application of VR technology in the intelligent practice system of college Civics teaching can better help Civics teaching realize the concept of nurturing people. In this paper, a virtual reality system is constructed using VR technology, and the construction data of the model is processed by the Wallis homogenization method under deep data processing technology. The teaching human-computer interaction interface in the virtual reality system is optimized and analyzed to meet the interactive experience of VR resources in Civics teaching. The necessity of VR technology application and college Civics teaching is discussed, and the index mining analysis of teaching interaction experience and the comparative analysis of VR intelligent teaching and traditional teaching is conducted using VR technology. From the evaluation of interactive experience, the average percentages of evaluation of sensory experience, interactive experience, and cognitive experience are 51.97%, 50.97%, and 50.98%, respectively. From the comparison of teaching modes, the overall percentage of those who are more satisfied with the VR teaching mode is 84.67%. This shows that the intelligent practice system of college teaching based on VR technology should adhere to the combination of VR teaching and traditional teaching, adhere to the combination of VR technology and the content of college Civics courses, and implement the education concept of good VR technology as a tool to educate people.
Modeling the connection between oil painting creation and university students’ inspiration in the context of “Internet+”
Authors: Tao Zhengwei , Zhao Junchao , Sahir Safrizal bin 
Published: September 2023

Abstract
In the Internet era, oil painting creation requires constant observation and learning before it can be inspired, and the inspiration for oil painting creation is like a godsend. This paper constructs a fast Fourier transform convolutional model based on fast Fourier transform and convolutional neural network to study the connection between oil painting creation and university students’ inspiration in the context of “Internet+”. The model was evaluated algorithmically, and a dataset of oil paintings was built to investigate the influence of the hue and brushwork technique on students’ inspiration. From the algorithm evaluation, the algorithm of this paper’s model reduces the floating-point computation from 34.76G to 20.08G than the traditional time-domain convolution algorithm, which reduces the floating-point computation by nearly 15G and greatly improves the running speed of this paper’s model. From the hue examples, the percentage of blue-gray, pale white, and light blue oil paintings are 34.95%, 18.59%, and 10.73%, respectively. Various hues will bring students different emotional expressions and induce their creative inspiration. In terms of brushwork techniques, the average percentages of the six brushwork techniques are 16.53%, 22.21%, 15.68%, 11.73%, 14.69%, and 19.16%, respectively. The fast Fourier transform convolution model established under the background of “Internet+” can effectively analyze the different tones and brushstroke techniques in oil paintings so that students can feel the emotion and vitality of the works in the process of observation and thus promote the generation of inspiration for oil painting creation of college students.
The path of optimizing and improving the teaching innovation ability of visual communication based on the SWOT model
Authors: Xiong Wenjing , Zhang Yihan 
Published: September 2023

Abstract
With the rapid development of visual media industry and large talent shortage, the traditional teaching mode has failed to keep up with the update speed of visual media development, and it is an imperative trend to carry out teaching innovation, this paper focuses on the path of optimizing the innovation ability of teaching ability of visual communication profession based on SWOT model, using SWOT model method to analyze the system components, the strategic position of subject teaching, the matching point of subject teaching, discipline teaching strengths and weaknesses fuzzy comprehensive evaluation for analysis, through the SWOT model method and traditional method classroom teaching time performance comparison, the results show that the SWOT model method than the traditional method time performance, further analysis of the development trend of SWOT model in the teaching neighborhood in the past seven years, 2018-2019 has increased by 15%, the fastest growth, the future quality and efficiency of teaching will become better and better, which is beneficial to the development of China’s education and talent pool, and is of great significance to the growth of China’s national economy and the improvement of its international status.
A study on the application of non-fiction writing in writing courses in local universities based on a decentralized Internet model
Authors: Zhang Qingbo 
Published: September 2023

Abstract
Along with the development of Chinese journalism and the continuous exploration of journalistic genres in the journalism industry, non-fiction writing has been shuttling between the two genres of literature and journalism. The development background of the times traditional non-fiction writing course teaching mode is difficult to adapt to the needs of college students, this paper around the decentralized Internet-based model of non-fiction writing in local college writing course application research, firstly, to build a non-fiction writing platform mathematical model, Markov random field, through the Bayesian network algorithm to process the characteristics of college students in the classroom data, the results show that students within the platform The results show that as the number of tests increases, the score trend from the three aspects of writing ideas and writing style and writing skills all show an upward trend, and the average score basically stays between 80-90, which is beneficial to understand the students’ writing level and performance, provide different users with suitable learning content for themselves, and contribute to the cause of Chinese literature by improving the students’ ability of non-fiction writing. It is of great value in changing the closed mode of writing courses, enhancing the practicality of writing content, and training college students to think logically and critically.
An Exploration of Chinese Language International Education Exchange and Cooperation Model Based on Random Forest Model
Authors: Suo Chengxiu 
Published: September 2023

Abstract
Chinese culture is always the eternal root of the Chinese nation and is an important language tool used in international exchanges between China and the rest of the world. As China’s status in the international arena has been enhanced in recent years, people from all over the world have become increasingly interested in the Chinese language, and more and more people are going to China to study it. Because of this, in recent years, the academic field has been researching the exchange and cooperation model of Chinese language international education, but most focus on quality rather than reality. This paper takes Chinese international education in colleges and universities as the research object and composes and summarizes the results of international scholars’ exploration of the exchange and cooperation model of Chinese international education. Based on the relevant theoretical foundation of the random forest algorithm; then, based on the previous research experience, four hypotheses are put forward on the influencing factors of the Chinese international education exchange and cooperation model, and combined with statistical theory, the correlation coefficient and visualization are used to demonstrate the size and direction of the correlation between each influencing factor and the Chinese international education exchange and cooperation model; then, the random forest algorithm is carried out from two perspectives of feature selection and weighted random forest Then, the random forest algorithm is optimised from two perspectives: feature selection and weighted random forest, and the model of Chinese international education exchange and cooperation is constructed, with the decidability coefficient (R
2) as the evaluation index of model accuracy, and the mean absolute error (MAE) and root mean square error (RMSE) as the evaluation index of model error. The four hypothetical factors (AQI) indices were analyzed for 3, 6, and 9 years respectively. The results of this study show that the index analysis of the random forest algorithm-based model of Chinese language international education exchange and cooperation is highly evaluated. In the analysis of the AQI indices for 3, 6, and 9 years, the coefficient of decidability (R
2) of the four models reached 0.84, 0.74, and 0.63, respectively, with an increase of 14.23% in the evaluation of the indicator coefficients, an average reduction of 5.77% in the mean absolute error (MAE) and an average reduction of 5.42% in the root mean square error (MAE). According to the above results, the random forest algorithm-based Chinese language international education exchange and cooperation model constructed in this paper possesses good correlation analysis, which promotes Chinese language international education exchange and cooperation and facilitates humanistic exchanges between China and other countries in the world to become more in-depth and the common development of the global economy.
A Study on Risk Management of Commercial Banks’ Home Mortgage Loans Based on Risk Management Framework
Authors: Zhao Yi 
Published: September 2023

Abstract
In the wave of global urbanization, the rapid development of the real estate industry has greatly driven the growth of personal housing loans of commercial banks, and personal housing loans have become a very important part of the loan business of commercial banks, especially in the business operations of many smaller urban commercial banks, where personal housing loan business is an important source of profit. However, the personal housing loan business is facing increasing risk management challenges against the multiple backgrounds of the current epidemic environment, the overall tightening of mortgage policies, and the accelerated advancement of market-based interest rates. For most urban commercial banks, personal housing loan risk control should be based on the local market, combined with the actual development of the enterprise itself, comprehensive internal and external environmental conditions to establish a perfect risk control mechanism and timely improvement of the existing management problems is a top priority. This paper takes Bank H as an example to study the risk management of personal housing loans, exploring the basic performance of Bank H in terms of personal housing loan risks, analyzing the factors affecting its housing loan risks, and the current problems in the management of personal housing loan risks. A linear regression model is also constructed to analyze the causes of Bank H’s housing loan risk, the factors affecting personal housing loan risk, and the characteristics of Bank H’s housing loan risk. The experimental results of this paper show that through risk control management of the 10 indicators selected, Bank H’s annual housing non-performing loan ratio declined by 19.392% and was effectively curbed. It is inferred that effective financial risk management decisions can be an important tool for risk management in averting the risks associated with commercial bank housing loans. Therefore, a sound post-loan risk management mechanism for personal housing loans is essential and the only way to improve the resilience of commercial banks.
The use of technology in teaching ELF pronunciation: a help or a hinderance?
Authors: Raine Paul 
Published: September 2023

Abstract
As the world’s premier lingua franca, English plays an instrumental role in global communication and cultural exchanges. Given that an individual’s English pronunciation is closely tied to their cultural and national identity, English as a Lingua Franca (ELF) emphasizes intelligibility as the primary criterion to gauge pronunciation success. This paper investigates the interplay between ELF, globalization, and interculturality, with particular attention on how technology facilitates the teaching of English pronunciation in ELF scenarios. It provides an in-depth qualitative analysis of educators’ perceptions on the role of technology as an enabler or inhibitor in teaching ELF pronunciation. The research affirms that teachers’ beliefs are consistent with the existing literature. The study concludes that state-of-the-art technology should be leveraged in ELF pronunciation instruction, provided it enhances intelligibility and avoids excessively discouraging learners whose pronunciation diverges from native norms.
Deepening Resilience in Youth: Learning from an Impact Evaluation of a South African Youth Development Programme
Authors: Mkandawire Sandra , Chapman Sarah 
Published: September 2023

Positive youth development programmes seek to actively develop positive qualities in young people through life skills training, leadership training, recreational or wilderness activities, community service, mentoring, counselling and job placement training. We evaluated a positive youth development programme implemented in the Western Cape, South Africa, by following up with graduates who had completed the programme between one and five years prior. Using an ex-post facto, quasi-experimental design, propensity scores were used to identify a sample of successful graduates who has completed the programme (N Treatment = 32) and a sample of people who had applied to the programme but were not selected into the programme (N Control = 33). Quantitative data from the impact evaluation were combined with qualitative interviews with past beneficiaries. The evaluation found no significant difference between past participants and non-participants in terms of resilience, education attainment, employment, self-reported drug use, gang involvement, community integration, family relationships, and involvement in community service. The qualitative findings suggest that while such programmes may be capable of producing short-term benefits for participants, the sustainability of the short-term benefits and their translation into long-term positive outcomes was not evidenced by this evaluation. We make recommendations for improving programme design aspects, such as an emphasis on post-programme services and contextual factors such as socioeconomic climate, and emphasise how these factors need to be addressed in order to strengthen the plausibility of the causal mechanism of these programmes.
The interdural hematoma: A subtype of convexity subdural/dural hematoma with specific radioanatomical characteristics
Authors: Kiss-Bodolay Daniel , Papadimitriou Kyriakos , Hedjoudje Abderrahmane , Duc Christophe , Vargas Maria Isabel , Kiss Jozsef Zoltan , Schaller Karl , Fournier Jean-Yves 
Published: September 2023

Background:
Rare cases of biconvex hematomas splitting the convexity dura mater were reported and denominated interdural hematoma (IDH). Due to their rarity, little is known about their radiological characteristics, and in most cases, their invasive management with craniotomy and dural membrane excision is unnecessary.

Case Description:
We report here a case of single burr-hole endoscopic evacuation of an IDH and its complete resolution after the 6-month follow-up imaging. The literature review reveals 11 reported cases of IDH. Most of them are male and the mean age is 65 years (range 51–90). Most of the reported IDHs were misdiagnosed as epidural hematoma or meningioma, and therefore, they have been managed invasively through craniotomy with dural excision. Diagnosis of the interdural nature was confirmed macroscopically during surgery in all cases and histology was reported for 6 cases. Image analysis found a double dural beak sign and biconvex shape on coronal planes, subarachnoid space enlargement at the collection extremities, and irregular thick inner wall as common radiological aspects of the IDH.

Conclusion:
IDH is a rarely reported and often misdiagnosed dural hematoma subtype. Its invasive treatment through craniotomy is likely related to its unknown radiological characteristics. We review and raise awareness about potentially unique radiological anatomy that could avoid unnecessary invasive treatment. Moreover, we report the first case of endoscopically evacuated IDH with long-term follow-up imaging showing complete resolution.