bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tipología de jóvenes rurales emprendedores agropecuarios: un estudio de caso en Colombia
Authors: Cuevas Reyes Venancio , Ramírez-Gómez Carlos Julián 
Published: October 2024

Objetivo: establecer tipologías de emprendedores rurales a partir de un conjunto de características y dimensiones del emprendimiento.Diseño/metodología: se utilizó un método exploratorio con un enfoque cuantitativo. Se aplicaron 368 encuestas a jóvenes rurales del departamento de Caldas. Posteriormente, a través de un análisis estadístico de clúster, se realizó una tipología de emprendedores rurales.Resultados: la investigación permitió establecer tres grupos de emprendedores rurales. El Clúster 1, denominado como jóvenes desinteresados, constituye el 47 %, los cuales se destacan principalmente por no querer permanecer en el territorio rural. El Clúster 2, nombrado jóvenes comprometidos, representa el 12 %. Este grupo, generalmente, cuentan con proyectos productivos que van de uno a cinco años de permanencia, además de habilidades útiles para desarrollar emprendimientos y apoyo familiar. Finalmente, está el Clúster 3, designado como jóvenes iniciadores, representa el 41 % del total de la muestra analizada. Este grupo se destaca por su menor participación en proyectos productivos emprendedores, además de ser jóvenes menos propensos al riesgo.Conclusiones: se concluye que es posible fomentar emprendimientos rurales que permitan la permanencia de jóvenes en sus territorios, siempre que el apoyo familiar juegue un rol importante, y que las instituciones gubernamentales y académicas contribuyan en la formación y desarrollo de sus capacidades.Originalidad: el estudio contribuye con un análisis de tipología de emprendedores, enriqueciendo la literatura alrededor del emprendimiento rural, específicamente en torno a un problema clave relacionado con la migración y permanencia de jóvenes en los territorios rurales.
Research on Artificial Intelligence-assisted Leisure Hotel and Tourism Industry Sustainable Development Strategy
Authors: Zhang Ya 
Published: October 2024

Abstract
Leisure hotels, as the core and important carrier of tourism development, are facing a broad development opportunity with the intervention of artificial intelligence. This paper designs a speech recognition system using HMM algorithms, enabling tourists to interact with the intelligent leisure hotel through voice commands. The system collects human voices via a microphone or sound card. When the system receives a specific voice, it generates a corresponding message to make a judgment about effective commands. Based on this, a smart voice assistant has been built to allow visitors to enjoy an intelligent home in the guest room and quickly access relevant information. When evaluating the system in terms of experiential value and commercial value, only the item “economic gain” has a low score of 36, whereas the other four indicators are all above 40. To analyze tourists’ perceived value and satisfaction with the smart service, a questionnaire method was employed, and the intrinsic relationship between the two was verified. The results show a significant positive correlation between satisfaction and all dimensions of perceived value. Accordingly, this paper presents relevant strategies for implementing artificial intelligence technology in leisure hotels, as well as strategies to support the sustainable development of the tourism industry.
Digital Resource Development and Teaching Mode Innovation of Chinese Excellent Traditional Culture Calligraphy Art in Civic and Political Science Courses of Colleges and Universities
Authors: Chen Li 
Published: October 2024

Abstract
The excellent culture embedded in the art of calligraphy provides new teaching content for the design and realization of the educational objectives of the Civic and Political Science Program in colleges and universities and facilitates the formation of a new teaching mode. This paper combines the network calligraphy art resources, highlights the calligraphy interaction of the Civics course with the help of projection interaction settings, and proposes a new teaching mode of calligraphy art + Civics course in colleges and universities. It also proposes a full convolutional network algorithm based on an attention gate to deal with the task of binning calligraphic document images and extracting calligraphic resources. Combined with the design principles of interactive digital displays, the teaching concept and teaching design of the calligraphy art college Civics and Politics course are analyzed. Based on the results of convolutional neural network processing of calligraphy text image binarization and the recognition of calligraphy handwriting by convolutional neural network algorithm based on the Attention mechanism coding and decoding model, realize the practice of the new teaching mode of interactive calligraphy art + Civics and Politics course, and compare it with the traditional fusion method, and get the mean and standard deviation of the course grades of the traditional group and the interactive group as 36.12± respectively 6.35 points, 45.68 ± 4.73 points. The samples of different groups show significance (p<0.05) for all of participation, ability, challenge, and interest, which means that the mean value of the interactive group is higher than that of the traditional group in the four dimensions of participation, ability, challenge and interest in learning, which proves the feasibility of the teaching mode of the projected interactive calligraphy art resources + Civic and Political Science course proposed in this paper.
Visualization Design and Implementation of Teaching Content in Dalian Shellfish Sculpture Art Colleges and Universities Based on Computer Vision Technology
Authors: Chen Yuqiong 
Published: October 2024

Abstract
As a traditional culture, Dalian shell carving art is facing a huge survival crisis. The problem of non-heritage culture and art protection can be effectively solved by teaching based on computer visualization technology in such a situation. This paper examines the characteristics of shell carving art as an entry point, determines the basic direction of teaching shell carving art, and develops a visualization scheme for teaching the content. Based on the WEB platform, an online teaching platform for shell carving art design based on computer vision technology has been built. Using the perspective method under computer vision technology to automate the imaging of shell carving art, complete the data visualization mapping of shell carving art, and evaluate the teaching results and feedback. The mean intervals of importance and satisfaction of the teaching effect of shellfish sculpture art are [2.2953, 4.2652] and [3.9485, 4.5636], respectively, and the satisfaction score is higher than the importance, and the students are more satisfied with the design of the course. The S-T curve of Teacher 1 demonstrates the teacher-student interaction. Teacher 1 has more interaction with students in 500s with good classroom scope, but after the 9th minute, the teacher’s lecture dominates it, and there is a lack of communication between teachers and students.
Research on indoor environmental monitoring technology and radiation intensity control method for industrial X-ray flaw detection
Authors: Wang Peng , Yang Jing , Wang Shengfan , Yao Mengru 
Published: October 2024

Abstract
With the development of China’s economy, the application of industrial radiation flaw detection technology is becoming more and more widespread, and the radiation monitoring and protection of flaw detection work has become an important topic in the field of radiation safety and protection. This paper uses pyroelectric technology to track X-ray radiation levels in the environment. It also chooses the scale curve method for calibrating the pyroelectric dosimeter and figures out the scale factor at the same time. The neutron and photon dimensions are used to evaluate the personal dose equivalent. The applicable range of pyroelectric dosimeters is calculated and the method is applied for radiation dose monitoring in industrial X-ray flaw detection rooms. Concrete wall shielding is used to determine the design parameters of the flaw detection room and the location of the distribution points to improve the shielding capacity of the flaw detection room and control the radiation intensity. The monitoring value of the operation position of the flaw detection room of Leshan Leboiler Enterprises in 2018 was 258.2, which was 73 higher than that of 2019. The results of the on-site monitoring of the absorbed dose rate of the ambient air in the flaw detection room showed that the average absorbed rate ranged from 0.015 to 0.546 μSv/h, which was lower than the standard of 2.5 μSv/h, and the shielding capacity of the flaw detection room was better, and the intensity of the radiation could be effectively controlled.
Exploring the Application of Big Data Technology in Macroeconomic Management and Strategy Formulation
Authors: Xue Qianqian 
Published: October 2024

Abstract
The initiative of macroeconomic management and regulation helps to eliminate such undesirable phenomena as unfair competition and malicious competition in the market and effectively improves the fairness and transparency of the economic market. This paper takes the importance of macroeconomic management as a guide and analyzes the value of the application of big data technology in macroeconomic management. Taking China’s macroeconomic data from 2012 to 2024 as the research object, a macroeconomic trend forecasting model is established by combining the C4.5 algorithm of time series. Combined with the FAVAR model, the SV-TVP-FAVAR model is established to study the impact of macroeconomic policy uncertainty on the macroeconomic system. The model cumulative return, trend prediction, aggregate impulse effect, and stage response characteristics are used as indexes for model evaluation. The cumulative return of the macroeconomic trend prediction model can reach up to 82.29%, the incremental GDP is only 920 million yuan lower than the actual macroeconomic value, and the great value of the impact of quantitative tools and price tools on economic growth is 0.369 and 0.359, respectively. The analytical model of macroeconomic data is constructed on the basis of big data technology, which facilitates access to the trend of the macroeconomic changes and the influencing factors and provides a reference for the optimization of the macroeconomic management strategy to provide a reference.
Research on Talent Cultivation Mechanism of Higher Vocational Colleges under the Interdisciplinary Education Model in the Age of Big Data
Authors: Zhu Xuqin 
Published: October 2024

Abstract
The cultivation of talents in interdisciplinary education mode is increasingly important, both in terms of policy support and industry demand. In this paper, we identify the core requirements for interdisciplinary talent cultivation and establish the structure of the interdisciplinary education course system. The implementation path of higher vocational interdisciplinary talent cultivation is divided into four directions: building talent cultivation mode, strengthening the teacher team, innovating school-enterprise cooperation, and building capacity mechanisms. For the personalized education of students, the XDeepFM algorithm is used to establish the course classification model and realize the personalized course resource integration recommendation. Evaluating the effect of talent cultivation under the interdisciplinary education model, there is a significant difference in learning psychology between students with different development plans. In the evaluation of the effect of learning activities, the results of the second round of interdisciplinary education action research are higher than those of the first round, and the difference between the two actions is 7.515. The interdisciplinary education talent cultivation model designed in this paper has shown its initial success.
Study on the Application of Multi-Communication Mode of Integrated Media in Revitalizing the Industrial Development of Rural Culture and Sports Sector
Authors: Li Zhiqiang , Zhang Zuqiang 
Published: October 2024

Abstract
The communication of rural culture and sports not only carries the inheritance and development of local culture but is also an important manifestation of rural revitalization and cultural self-confidence. With reference to the communication characteristics of information related to rural culture and sports, this paper combines traditional and new media to design a multimedia communication model for rural culture and sports. A three-stage DEA model, including the SFA model, is used to measure the development efficiency of the rural culture and sports industry under the multimedia communication model. It is found that after the implementation of the multivariate communication model of integrated media, the audience of rural culture and sports in Z city shows an increasing trend, and the social support efficiency index of rural culture and sports industry reaches 0.9770, which achieves a considerable communication effect. At the same time, the total output and added value of the industry in the field of rural culture and sports also increased rapidly, and its output value accounted for 43.64% of the total sports industry in 2023. The multifaceted communication model of integrated media designed in this paper is conducive to revitalizing the development of industries in the field of rural culture and sports, promoting the sharing of national culture as well as building a new era of rural economy.
Experimental analysis of the effect of ultrasonic vibration on porosity suppression in narrow gap laser welding
Authors: Liang Chengcheng 
Published: October 2024

Abstract
The welding process has a wide range of applications in aerospace, military manufacturing, machinery, and other fields, and with the continuous improvement of welding technology requirements, the inhibition of porosity in the welding process is also increasing. This study, through the narrow gap laser welding characteristics and porosity formation mechanism of the depth of analysis, for the existing narrow gap laser welding method exists in the side wall of the weld fusion is poor porosity, poor uniformity of organizational properties and other issues, proposed ultrasonic-based welding method to achieve effective inhibition of porosity. The experimental analysis of ultrasonic vibration on the formation of porosity is carried out based on narrow-gap laser welding. The peak sound pressure of narrow gap welding increases when the ultrasonic current amplitude changes from 24A to 32A. Under different ultrasonic vibration conditions, the number of welds without applied ultrasound was as high as 95, while the number of porosities gradually decreased to 48 with the increase of applied ultrasound amplitude from 12% to 37%. Furthermore, as the ultrasonic amplitude increased, the residual height decreased by 0.45 ml. In addition, at fixed ultrasonic amplitude, with the increase of laser power, the porosity increased from 0.89% to 2.21%, and the average diameter of the porosity increased from 0.29 mm to 0.43 mm. The porosity for the porosity diameter of less than 200 μm was reduced to 0.020%. The percentage of stomata with a diameter greater than or equal to 200μm increased to 2.098%. This study analyzes the inhibition effect of ultrasonic vibration on porosity to a certain extent. Moreover, the inhibition effect of ultrasonic vibration in narrow gap laser welding is significant and the smaller the laser power under the same amplitude, the better the inhibition effect, which provides a valuable reference for the research of the narrow gap laser welding process.
Application of Neuronal Intelligent Prediction Algorithms in Automated Decision Support for Bridge Construction
Authors: Chen Jing , Huang Kainan 
Published: October 2024

Abstract
By predicting the construction elevation of a cable-stayed bridge with the help of the BP neural network, it was found that the BP neural network is suitable for the prediction of bridge construction, and an accurate prediction value can be obtained. The maximum deviation of the prediction value is 41.6 mm, which is a large error. Therefore, the use of intelligent algorithms to predict the linear elevation of cable-stayed bridge construction and reduce the impact of error can provide an important reference basis for the next stage of elevation control of standing molds and guarantee the accuracy of bridge construction control.
Research on Innovative Design of Interactive Learning Environment for Architectural Education Integrating Artificial Intelligence and Virtual Reality Technology
Authors: Liu Baochang , Wang Wenli , Liu Xiaoyu , Wu Jie 
Published: October 2024

Abstract
To provide new context-creation tools in architectural education to give students a full sense of immersion and presence. This paper discusses the integration of artificial intelligence and virtual reality technology in architectural education, and then the integration of artificial intelligence and virtual reality technology proposed architecture education virtual learning environment human-computer interaction system. Through the experimental study, in the application effect satisfaction analysis, the student satisfaction in the virtual reality learning environment in stimulating students’ learning interest is 80%, and 72% of the students agree to learn architectural expertise in the virtual reality learning environment.
Environmental and Social Disclosure of Brazilian Banking Financial Institutions from the Perspective of the Sustainable Development Goals
Authors: Novo Manoel Jorge Conzença , Quevedo Daniela Müller de 
Published: October 2024

Objective: The objective of this study is to investigate the determining factors that influence the disclosure of environmental and social information by the Brazilian banking sector from the perspective of the Sustainable Development Goals (SDGs), with the aim of identifying which organizational characteristics impact the level of socio-environmental disclosure.

Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. The study is based on the Theory of Legitimacy, which provides theoretical elements for socio-environmental disclosure. This theory explains management’s motivation to disclose environmental information, recognizing that organizational survival depends not only on financial success but also on the ability to maintain a social contract with society.

Method: The methodology adopted for this research comprises a quantitative approach based on content analysis of sustainability reports from Brazilian banks. Data collection was carried out through the analysis of corporate disclosure reports published between 2016 and 2020. The regression model with panel data was used to analyze the influence of organizational characteristics on the dissemination of socio-environmental information from the perspective of the SDGs.

Results and Discussion: The results obtained revealed that the size of the company and public control are factors that influence the disclosure of socio-environmental information regarding the SDGs. Whether or not the company owns shares on the Stock Exchange and its profitability have little impact on the amount of information disclosed about the SDGs. In the discussion section, these results are contextualized based on the theoretical framework, highlighting the implications and relationships identified. Possible discrepancies and limitations of the study are also considered in this section.

Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of socio-environmental disclosure. These implications could encompass the banking sector, regulatory bodies, and policymakers.

Originality/Value: This study contributes to the literature by deepening the knowledge about environmental disclosure in the banking sector, a topic still little explored in academic studies. The relevance and value of this research are evidenced by its potential to inform better practices and policies for socio-environmental disclosure in the banking industry.
Vosviewer-Based Bibliometric Review of Transshipment Location Problem From 2000 to 2023
Authors: Moreno Renan Paula Ramos , Lopes Rui Borges , Ramos Ana Luísa , Ferreira José Vasconcelos , Correia Diogo 
Published: October 2024

Objective: This study conducts a comprehensive bibliometric review of the Transshipment Location Problem (TLP) by identifying key authors, countries, journals, and research areas. It also maps the evolution of TLP and explores methodologies and tools used for optimizing logistical and distribution systems.

Theoretical Framework: TLP, a variant of the classical transshipment problem, has gained attention for its role in optimizing supply chain networks. It involves both proactive transshipment (planned inventory management) and reactive transshipment (responding to unexpected events or shortages).

Method: This study applies a bibliometric analysis methodology using VOSviewer to analyze publications extracted from the Scopus database. The analysis focuses on key bibliometric indicators such as co-authorship, co-citation, and keyword co-occurrence. The dataset comprises 432 selected articles published between 2000 and 2023.

Results and Discussion: The review reveals that optimization tools, particularly in transportation and inventory management, are widely applied in TLP studies The United States, China, and Germany are leading contributors to TLP research. Lateral transshipment strategies are increasingly employed to enhance supply chain flexibility. A small group of influential researchers drives the field through collaborations and citations.

Research Implications: The review provides valuable insights for future research, highlighting gaps in applying optimization methods in emerging fields like healthcare. It offers a clear view of the geographical and institutional landscape of TLP research and suggests areas for future study, such as sustainability.

Originality/Value: This review fills a gap in the literature by systematically mapping TLP research’s evolution and its growing relevance in logistical systems optimization across various industries.
ВЕБСИСТЕМА ЯК ЗАСІБ АДАПТАЦІЇ УЧАСНИКІВ ОСВІТНЬОГО ПРОЦЕСУ
Authors: Сікора Оксана , Вдовичин Тетяна 
Published: October 2024

У статті охарактеризовано процес адаптації у сфері освіти та вказано, що адаптивна освітня система підтримує унікальність кожного учасника і формує його індивідуальну освітню траєкторію. Проаналізовано вплив цифрових технологій на освітній процес та можливості освітніх вебсистем для адаптації освітнього процесу. Вказано переваги та недоліки використання освітніх вебсистем і функції для всіх учасників освітнього процесу на будь-якому рівні. Подано огляд систем управління навчанням і проаналізовано можливості освітніх вебсистем для адаптації освітнього процесу.