bluuebunny/crossref_metadata_2025_split huggingface dataset:
Formulation of Weaning Flours and Supplements Based on Flours From Three Tigernut Cultivars in the Fight Against Protein-energy Malnutrition (Pem)
Authors: Noukpozounkou Zerach , Melilla Mamatchi , Badoussi Eric Marius , Fagla Balbine Amoussou , Mitchikpè Evariste Comlan , Chabi Nicodème Worou , azokpota Paulin 
Published: October 2024

Abstract

The present study aims to resolve In order to resolve an imbalance between nutrient intake and the body's needs by producing flours based on tiger nut tubers. The formulation of weaning and supplement flours is the result of different mixtures between different types of tigernut flours, the main source of carbohydrates; soy, a source of plant proteins; dried fry fish, a source of animal proteins and peanuts, a lipid source and moringa, a mineralogical source. The flours obtained are subjected to different nutritional and microbiological dosages. The proportions of each component are determined by the mixing plan of the Minitab software version 2018. In terms of results, tigernut starch flours have the lowest quantities of fiber unlike whole tigernut flours which contain fiber contents greater than 11%. FSB flour has the highest protein, lipid and energy contents as opposed to FASJ flour which on the other hand contains the lowest protein, fiber, energy and energy density values. Fry meal has the highest protein content (74.718 ± 0.11%) but also the lowest fiber content (0.63 ± 0.07%). Furthermore, peanut flour limits the lipid (52.13 ± 1.21%), carbohydrate (30.6 ± 0.75%) and fiber (20.71 ± 0.94%) contents. Among these flours obtained, no composite flour contains peanut flour. The majority of flours meeting the criteria for infant flours are those which contain fry meals. These include FSBFF0, FSBFF5, FASBFF0, FASBFF5, FASBFF10. The flour with both the best protein content (28.58 ± 1.51) and the lowest fiber is FASBFF10. The factorial map shows three (03) flour grouping blocks following the Euclidean distance that separates them. Thus, a first block is noted consisting of two (02) flours (FASN and FASJ); the second block bringing together 5 flours (FSN, FSJ, FSB, FASB, FASBFS10) and the third block with 7 flours (FSBFF0 FSBFF5, FASBFF0, FASBFF5, FASBFF10, FASBFS0, FSJFF0).
Perceptions Experiences and Challenges of Physical Activity among Firefighters with Coronary Heart Disease Risk Factors in the City of Cape Town Fire and Rescue Services
Authors: Achmat Ghaleelullah , Malema Makhaya , Erasmus Charlene , Kanaley Jill , Leach Lloyd 
Published: October 2024

Background
The development of atherosclerosis in firefighters is affected by various cardiovascular risk factors, such as smoking, poor dietary choices, and lack of physical activity. Together, these elements lead to obesity, high blood pressure, unhealthy cholesterol, and increased blood sugar levels. Continuous exposure to these risks raises the chances of worsening atherosclerosis, which can impede blood circulation to essential organs like the heart and brain. As a result, sudden cardiac death is the leading cause of fatalities while on duty in the fire service.

Aim
This study aimed to explore and describe the perceptions, experiences, and challenges associated with physical activity among firefighters with risk factors for coronary heart disease in the City of Cape Town Fire and Rescue Services.

Methods
A purposive sample of nine full-time active career firefighters from the City of Cape Town Fire and Rescue Services, representing three different ranks, was employed, using a descriptive qualitative study design. The semi-structured interview responses were recorded and transcribed verbatim. The participants were free to leave the study at any time and without penalty, and their rights to confidentiality were protected. The thematic analysis was then used to examine the transcripts.

Results
The results revealed that firefighters were not physically active enough to meet the suggested minimum levels of physical activity and were physically inactive. Sedentary lifestyles have numerous detrimental effects on the human body, such as elevated rates of dyslipidemia, hypertension, diabetes mellitus, cardiovascular disease mortality, and all-cause death. Therefore, it is essential to reduce sedentary behavior and increase physical exercise to improve the health and well-being of firefighters.

Conclusion
Policy strategies should be designed to introduce physical activities at low-moderate intensity levels and accommodate firefighters with coronary heart disease risk factors. Implementing team-based physical activity interventions has demonstrated positive impacts on individual behavior changes within the fire service.
A Linkage Cultivation Model of Students’ Information Literacy and Critical Thinking Skills in Education Informatization Environment
Authors: Jiang Xianghui , Wang Lili 
Published: October 2024

Abstract
This paper first screens the indicators by examining the current state of information literacy and critical thinking. The sparse principal component analysis (SPCA) algorithm and factor analysis model are combined to deeply mine the influencing factors of information literacy and critical thinking and provide an optimization path for the linkage cultivation model of information literacy and critical thinking. Finally, we validate and analyze the enhanced critical thinking abilities. The results show that the first four eigenroot coefficients of the correlation coefficient matrices of the proposed four main factor variables are 4.31, 3.4, 3.07, and 2.74, respectively. The eigenroots’ explanatory degrees are 33.2%, 25.7%, 21.9%, and 15.1%, respectively. The four extracted principal factors can explain 95.85% of the information in the original index. The four critical indicators of questioning, discriminating, comparing, and controlling are significantly positively correlated between the two. The synthesis of the usefulness of the four critical indicators revealed that 97.5% agreed that they could improve students’ information literacy and critical thinking skills. This study positively supports and promotes the improvement of students’ information literacy and critical thinking skills in the educational information technology environment.
The Integration of Online Teaching Platform for Art Design and Civic Education
Authors: Liu Xuequan 
Published: October 2024

Abstract
The integration of art design and ideological and political education in colleges and universities is an inevitable choice for the establishment of moral education, and it is an important part of the systematic project of “educating people”. Based on the relevant countermeasures for integrating ideological and political education into art design courses, this paper proposes an adaptive network teaching platform. The platform constructs a feedback mechanism and recommendation mechanism based on the relationship between students’ ability value and the difficulty of teaching resources and adjusts the difficulty of learning materials by the method of cooperative voting to complete the adaptive guidance. The experimental results show that the experimental group’s performance in all dimensions of Civics is 0.3766 points higher than the control group on average, and the performance of the three art design courses of the students who are taught using this platform is improved by 11.32, 11.91 and 11.92 points on average respectively, and the average number of classroom answers before and after the experiment is improved by 4.35 times. It shows that the integrated teaching of art design and ideological and political education using the network teaching platform proposed in this paper helps to improve students’ art design and ideological and political academic level and is also conducive to the enhancement of learning interest.
Research on the Application of Artificial Intelligence Technology in the Digital Processing of Traditional Visual Art Elements
Authors: Ren Ruiyao 
Published: October 2024

Abstract
The digital era has brought unprecedented convenience and prosperity to art design. This project develops the application of artificial intelligence technology from the digitalization process of traditional visual art elements in two dimensions: image enhancement and image recognition. Combining the quantile algorithm and adaptive gamma correction technology, we have designed an image enhancement method based on AGC-Quantile for traditional elements. Based on the classification model of the MobileNet network and the target detection model based on YOLOv5, the traditional element image recognition model is proposed. Traditional element images containing multiple types of tattoos are selected as experimental objects, and the actual performance of this model is investigated through algorithm comparison and evaluation index analysis. The AGC-Quantile method processes different tattoo images with high quality and outperforms the comparison algorithms in different indexes (MSE>17, PSNR>23, and SSIM>0.82). The classification model based on the MobileNet network and the target detection model based on YOLOv5 is proposed to enhance traditional element images. -YOLOv5 has a classification accuracy and target detection accuracy of 83.2% and 87.6%, respectively, and improves 65.82% in time. According to the experiment, the AI-based model constructed in this paper has superior image enhancement and image recognition effects and can be utilized for the digitization of traditional visual art elements.
Research on Artificial Intelligence-Assisted Software Test Automation Methods
Authors: Hu Yu 
Published: October 2024

Abstract
Software testing faces problems such as low automation and difficult reuse of testing methods. The purpose of this paper is to explore software testing automation methods with the aid of artificial intelligence. In this paper, based on the BS algorithm, the RF algorithm is constructed by Bagging integration, the RF algorithm is optimized by reducing the generalization error through the residual function, and the random forest model for software automation detection is constructed. After that, the model is examined and analyzed using automated detection of malicious software samples as a case study. The experimental results show that the accuracy of the Random Forest algorithm after feature selection reaches 98.9%, its prediction time is the least (7 seconds), and the Random Forest algorithm for training is the best. Z software’s optimized RF algorithm model has an accuracy of between 86% and 99.3% when detecting seven malicious types of samples. This paper’s proposed random forest algorithm model based on artificial intelligence assistance is well-suited for automated software testing, and the detection method is feasible.
Multimodal linguistic landscape ecological optimization strategy for Nanchang urban area based on big data analysis
Authors: Yang Hong 
Published: October 2024

Abstract
How to better coordinate construction development and regional landscape ecology in the process of urbanization is a realistic problem to be solved. This paper firstly constructs a multimodal language landscape ecological analysis and prediction model based on the patch-corridor-substrate theory for the urban geographical characteristics of Nanchang city and analyzes the urban dynamic data and landscape element change transfer by Markov transfer matrix combined with the entropy weight method to realize the analytical functions of land use change, landscape ecological pattern, spatial measurements, and landscape ecological health risk evaluation. It has been found that the landscape ecological condition of Nanchang City has generally deteriorated from 2005 to 2023, and the average value of the landscape ecological index has decreased. With the improvement of ecological environment laws and regulations, the city will develop in a more scientific, orderly, and sustainable direction, the degree of damage to the landscape will gradually decrease, and the landscape patches become more regular. The degree of forest land separation decreased from 1.932 to 1.228. The area of unutilized land continued to decrease, the degree of disturbance increased to 0.994, and the degree of loss increased to 0.342. The area of the lower ecological risk zone continued to decrease to 1,364.96km2. The proportion of the medium ecological risk zone decreased from 33.42% to 5.26%, and the area decreased by 1,996.77km2. The area of the high ecological risk and high ecological risk zones decreased by 400.72% respectively. Higher ecological risk and high ecological risk areas were reduced by 400.72km² and 31.91km², respectively, according to which this paper puts forward three landscape ecological optimization strategies, such as constructing an ecological network system, strengthening monitoring and early warning, and rationally planning land space. This paper is of great significance in carrying out a regional landscape ecological evaluation, regulating the spatial pattern of Nanchang, optimizing the use of regional land resources, and guaranteeing the sustainable development of the region.
Research on Risk Assessment and Management Strategies of Applying Artificial Intelligence Technology in Educational Institutions
Authors: Zheng Xiaohong , Chen Yu 
Published: October 2024

Abstract
Based on the development and application of intelligent technology, educational institutions are facing multiple risks and challenges while ushering in significant development opportunities. In order to cope with the increasingly complex and diversified risk problems and realize the high-quality development of educational institutions, this paper, based on the evaluation principle of objectivity and risk avoidance, identifies the risks of the educational application of artificial intelligence technology by applying the Delphi method. Using the hierarchical analysis method to screen the index system, we established a risk assessment index system for the educational application of artificial intelligence in educational institutions. Analyze the degree of risk impact and combine the risk level with Borda value to obtain the educational risk assessment results. According to the risk assessment results of educational institutions, risk avoidance strategies in theory, system, and construction are proposed. Overall, the factors with higher or lower educational risk severity rankings of AI technology in educational institutions account for a relatively small percentage, and 70% of the risk factor items have a risk severity level between I and III.
Research on the Innovation of Traditional Music Inheritance Mode Supported by Multimedia Technology
Authors: Ma Lili 
Published: October 2024

Abstract
Traditional music is an important carrier for the development and dissemination of Chinese culture, and this paper aims to use multimedia technology to broaden the inheritance of traditional music and put forward the modernized inheritance of traditional music. In order to solve the limitation of time and space of this inheritance mode, it is proposed to utilize the main melody extraction technology of MIDI music to extract and identify the humming melody for the inheritance mode of traditional music. To facilitate the creation and retrieval of traditional music, a traditional music humming retrieval system based on the CHMM model has been designed by improving the HMM model based on score and audio training. Set the neural network model’s parameter values and bound values and use the multimedia system in teaching to test its effectiveness. The algorithm in this paper stabilizes the extraction error value for MIDI music melody at a value between 0.10 and 0.18. Combined with the school’s use of multimedia inheritance technology for traditional music, more than 70% of the students think that the teaching of traditional music using modern multimedia technology is very good. Only 0.01685 students expressed uncertainty about the significance of multimedia in traditional music teaching. The evolution of multimedia technology in traditional music transmission is evident.
Exploring the Content and Methods of Classical Dance Teaching in the Context of Multicultural Integration
Authors: Ma Weili 
Published: October 2024

Abstract
This paper addresses the teaching development of classical dance and proposes the use of modern teaching technology to assist the teaching of classical dance. It integrates the creative stimulation of classical dance teaching with the concept of multi-cloud culture and proposes the hypothesis of optimizing the teaching effect of classical dance with the concept of multi-culture. Utilizing the online teaching platform for retrieval of multiple dance resources, the RANKBOOST algorithm is applied to accelerate the retrieval time of dance resources. The dance resources are pre-processed with dance posture data converted into BVH file form, human posture features are calculated, 3D-SIFT technology is applied to extract the human posture features of dance movements, and similarity calculation is performed to obtain dance movement recognition and dance posture analysis. Test the performance of an online teaching platform and analyze the parameter values of the RANKBOOST algorithm. Design the overall framework of the classical dance teaching experiment, subdividing the teaching purpose, teaching content, teaching time, etc., and statistically compare the results of the teaching experiment. The classical dance online teaching platform is able to load students’ learning tasks when the concurrency reaches the maximum value. Through comparative analysis, it can be seen that the classical dance teaching (online dance analysis) method proposed in this paper based on the concept of multiculturalism can significantly improve students’ classical dance assessment results and effectively achieve the teaching objectives.
The construction of collaborative cultivation path of internationalized talents in Zhuhai and Macao based on the theory of “synergy”
Authors: Liu Taiwei 
Published: October 2024

Abstract
Based on geographic and location advantages, in order to efficiently pool limited resources and improve the quality of talent cultivation, universities in Zhuhai and Macao should break the inter-university and cross-border barriers and innovatively explore a path of collaborative cultivation and development of internationalized talents. The path is based on the theory of synergy, with the industry-education synergy system dynamics model as the analytical framework. Faced with the key development industries and sectors in the Greater Bay Area, it relies on the industry-education alliance built by the government, schools, enterprises, and the talent market. It aims to cultivate a batch of composite talents with management and production skills who are urgently needed in the field, multi-functional, with internationalized vision, and with multi-language service ability so as to better serve the regional economic development. Focusing on the synergy of talent cultivation goals, talent cultivation process, talent cultivation results, and human resources supporting synergy, we strive to create a good ecology of Zhuhai-Macao internationalized talent cultivation from fragmented and disordered to globally organized and from individualism to synergistic cultivation.
Construction of a Value Growth Prediction Model for the Integration of Construction Project Management and BIM Technology
Authors: Liao Hanchao , Shan Miyuan 
Published: October 2024

Abstract
BIM technology is an important technology for digitizing construction project management in order to improve management efficiency, and it has a supportive role in predicting the relevant indicators of project management. The article constructs a project management prediction model based on BIM technology that integrates GSVM and EVS. The earned value method is used to calculate the project schedule performance index and cost performance index, and the gray support vector machine is adopted to map the nonlinear data into the high-dimensional space and carry out calculations in order to simplify the complexity of calculations and improve the prediction efficiency and accuracy. The case study shows that the project duration was shortened by 21 days and 242,000 dollars reduced the cost by applying the model of this paper. Structural equations confirm the positive effect of BIM technology and the GSVM-EVM model on the performance of construction project management and the positive effect of BIM technology on the prediction effect of the GSVM-EVM model.
Study on the Promotion of Green Financial Reform and Innovation on Enterprise Sustainable Development Capability in Low-Carbon Economic Development Based on Statistical Modeling
Authors: Du Kai 
Published: October 2024

Abstract
Green financial reform and innovation attempts to combine the two core principles of green development and innovation-driven to promote the sustainable development of enterprises. This paper adopts the synthetic control method to establish the experimental and reference groups according to whether the study area is a pilot area for green finance reform. According to the research theory, the indicators affecting the sustainable development of enterprises are selected, and the changes in the indicators of the experimental group before and after the green financial reform and innovation are compared and analyzed. Based on the Mean Difference value and Median Difference value, determine the role of green finance in influencing the sustainable development of enterprises. The parallel trend hypothesis test is carried out to verify the feasibility of the double difference model setting. Construct the mediation model for green lending and enterprise R&D investment to promote sustainable development within enterprises in the context of green finance reform and innovation. The regression results show that the coefficient of the double difference interaction term Treati
* Aftert
is 0.2653, which passes the significance test at the 1% level. The mediation model, after adding all control variables and three fixed effects, has a double difference term coefficient of 0.0876. After removing irrelevant factors, it further indicates that the implementation of the green financial pilot zone policy can promote the green technological innovation of enterprises to a certain extent and that the green financial pilot zone policy plays a significant role in the promotion of sustainable transformation of enterprises.