bluuebunny/crossref_metadata_2025_split huggingface dataset:
“Authentic and Amazing”: authenticity as an evaluative category in online consumer restaurant reviews
Authors: Boyle Dominick 
Published: February 2024

Claims and evaluations of authenticity are a powerful resource in food discourse: reviewers use evaluations of authenticity to demonstrate their expertise, and restaurants viewed as authentic receive higher star ratings. But the multivalent nature of authenticity presents challenges for researchers. This contribution seeks to understand authenticity by combining computational and corpus driven discourse analysis methods. O’Connor et al. (2017) sought to quantify the impact of authenticity on consumer perception via four theoretical authenticity types (type, craft, moral, and idiosyncratic). This method is tested using a sample of US restaurant reviews and compared to sentiment analysis metrics computed from the same dataset. All types except for moral authenticity showed a positive effect on sentiment. Authenticity in restaurant reviews is further investigated by examining collocates of terms referring to authenticity and compiling keywords of subcorpora created from high and low scoring reviews. Reviewers most often topicalize authenticity in terms of place, taste, and descriptors of ethnicity. These findings illustrate how combining corpus driven discourse analytical and computational methods can illuminate evaluation from multiple perspectives and provide insights which may help to improve computational approaches in the future.
Computed tomography-guided cannulated lag screw placement for treatment of ununited anconeal process: surgical technique, clinical outcome, and radiographic healing in 7 dogs
Authors: Danner Alexa L. , Leonard Katherine , Chandler John , Gendler Andrew 
Published: February 2024

Abstract

OBJECTIVE
A novel technique and outcomes for correction of ununited anconeal process (UAP) via CT-guided cannulated lag screw placement in 7 canine patients is described.

ANIMALS
Cases of canine patients (7 patients/8 elbows) diagnosed with UAP that subsequently underwent CT-guided cannulated lag screw placement were retrospectively evaluated.

CLINICAL PRESENTATION
Pre- and postoperative exam findings (lameness and pain on range of motion) are presented. Preoperative radiographs and postoperative radiographs at 2 time points (approximately 8 weeks postoperatively and at the time of the most recent imaging; mean, 221 days; range, 85 to 828 days) were scored for degree of arthrosis and postoperative radiographs were evaluated for radiographic union. Complications were reported and stratified by severity and time postoperatively.

RESULTS
Minor perioperative (0 to 3 months postoperatively) complications included seroma formation (n = 1) and major perioperative complications involved development of surgical site infections (2), with 2 patients requiring implant removal in the perioperative period (44 and 82 days postoperatively). All patients achieved radiographic union, defined as partial or complete bridging of the anconeal process to the ulna within the study period (mean radiographic follow-up time 221 days postoperatively; range, 85 to 828 days; 5/8 joints partial bridging, 3/8 joints complete bridging) and pre- versus postoperative elbow arthrosis scores remained static in all patients.

CLINICAL RELEVANCE
The case outcomes described support the use of CT-guided cannulated lag screw placement as a feasible option for treatment of UAP.
Construction of Dynamic Early Warning Mechanism for Civic Education in Colleges and Universities Based on Data Mining
Authors: Yang Mingna , Guo Hongjian 
Published: February 2024

Abstract
This paper adopts a nonlinear support vector machine to categorize the information on students’ ideology and politics in colleges and universities, and completes the construction of a dynamic early warning mechanism for ideology and politics education. Firstly, it builds the early warning system, establishes the students’ civic and political information file, designs the user information module of the system, then sets the index system according to the opinions of the civic and political teachers in colleges and universities, and designs the civic and political dynamics early warning module based on this. Following the completion of the design, four groups of tests were conducted. Colleges A and B were used to implement the system for individual testing, followed by early warning testing using data from multiple colleges simultaneously. Finally, the most significant indicators were tested using group condition analysis. The various tests show that the system response speed is 322ms, which is lower than the industry requirement of 1s. Among the three metrics tested, the system accuracy of this paper is the highest, at 87.2%, 88.1%, and 80.7%, respectively. The X5 scores of 87.56% of the students in each university were generally low, in the range of 1 to 2, indicating that the students were not clear about the importance of the Civics program, but the X12 scores of 94.52% of the students were high, indicating that they believed that the Civics program should be retained. Obtaining a high level of Civics education is made possible by achieving a mission responsibility consistency score of 0.865.
Research on the Innovation of Science and Technology Management Data Service Mode under Artificial Intelligence Technology
Authors: Xiao Xiaohua , Su Zhixian 
Published: February 2024

Abstract
S&T management data has a wide range of sources and types, and the innovation of S&T management data service model is an important way for the efficient utilization of S&T resources in the new era, so this paper creates an innovative model of S&T management data service based on Data-Information-Knowledge-Wisdom model and artificial intelligence technology. Heterogeneous data mining technology based on association rules is used to obtain the connection between S&T management data, Lagrange interpolation is used for heterogeneous data cleaning to predict the missing values of S&T management data, and data lineage resolution technology is used to solve the challenges brought by the complex and diverse S&T management data components. Experimental analyses are conducted from both S&T management data processing and data service cases to verify the effectiveness and scientificity of the S&T management data service innovation model proposed in this paper. The results show that in S&T management data processing, this paper’s method consumes less than 2.45s for associated data rule mining, which has high mining efficiency, and the duplication rate and missing rate of data are below 0.0260 and 0.0222. Through the analysis of the service quality data, it can be seen that the degree of explanation of the service process quality problems of the model proposed in this paper tends to be close to 1, which can reflect the differences in the service process quality problems, and provide accurate, intelligent and personalized services for the main body of science and technology innovation.
Analysis of the Influence of Digital Elements on the Effectiveness of Piano Performance
Authors: Wang Yibing 
Published: February 2024

Abstract
In this paper, based on the mathematical description of chord tone groups, the gesture features extracted for the back of the hand, as well as the playing characteristics of different fingers, are different, and a neural network is used to extract the gesture features and information in the piano performance process. From the perspective of piano performance gesture features, combined with the two-way LSTM layer and attention mechanism layer in the neural network and the Softmax classification algorithm, we constructed a neural network model for piano performance evaluation based on digitalized elements and used the data analysis software to analyze the influence of the effect of piano performance based on digitalized elements in an example. The results show that the influence and dissemination evaluation value of the performance effect of the piano repertoire of “Canon” is the highest, with values of 0.85 and 0.712, respectively, and the influence and dissemination evaluation value of the performance effect of the piano repertoire of “To Alice” is the lowest, with the values of 0.06 and 0.05 respectively, which indicates to a certain extent that the digitalized elements have a facilitating role in the enhancement of the influence and dissemination of the piano performance. When in the ‘one’, ‘two’, ‘three’, and ‘X’ gesture states, the index, middle, ring, and little fingers have a high degree of bending, respectively. The index finger, middle finger, ring finger and little finger have high bending degrees, respectively, and the values are all greater than 73, which confirms that the characterization of playing gestures in piano performance based on digitized elements is of great significance in improving the influence of piano performance effect.
Research on the Mechanism of Enhancing Informatization Teaching Ability of College Teachers Based on Gray Clustering Evaluation Model
Authors: Wan Tao 
Published: February 2024

Abstract
This paper constructs a gray clustering assessment model, combines the indicators of information technology literacy, technology-supported learning, and information technology teaching ability to evaluate the information technology teaching ability of A college teachers, and explores the use of information technology equipment of college teachers. And through the construction and calculation of the whitening weight function to refine the classification of college teachers’ informatization teaching ability, for different categories of teachers’ informatization application presenting different characteristics, using one-way ANOVA and adding the Scheffe (C) test to test the inter-group variability of different categories, in-depth exploration of the influencing factors of teachers’ informatization teaching in different categories. The results show that the overall water mean of teachers’ informatization teaching ability in school A is 3.88±0.59, and the model divides teachers’ informatization teaching level in college A into three categories: 3.8-4.5, 3-3.8, and 1-3, with the proportion of each category being 27.8%, 40.1%, and 32.1%, respectively. This study focuses on analyzing the relevant factors affecting teachers’ informatization teaching ability and puts forward countermeasure suggestions according to local conditions, which is of great significance to deepen the reform of education and teaching.
Research on the Path of Integrating Ecological Culture into the High-Quality Development of Henan Urbanization in the Era of Big Data
Authors: Wang Xingwei 
Published: February 2024

Abstract
With the requirements of a high-quality development strategy, new urbanization also takes high quality as the development goal. This paper utilizes Henan Province as the spatial research carrier to screen and construct a model for urbanization high-quality development and ecological and culturally coordinated development. Comprehensive use of ArcGIS spatial analysis, coupled coordination degree model, synchronicity model and Markov chain and other methods and other methods of the main system, to analyze the regional differences in the level of high-quality and coordinated development of urbanization in Henan Province and the spatial evolution process. It also explores the evolutionary characteristics and functional interaction between urbanization and ecological culture in Henan from the perspective of high-quality development. The results show that the level of urbanization in Henan Province under the integration of ecological culture has been steadily increasing, but there is a large gap between the urbanization levels of various regions. Significant differences exist between the high-quality synergistic development of urbanization in Zhengzhou at the highest level of 0.7782 in the 2022 time period and the low level of only 0.33. This study can provide corresponding policy recommendations for the high-quality development of urbanization in Henan Province, as well as a reference for other provinces with similar urbanization processes as Henan Province.
Research on Computer Graphics Processing Technology Based on GIS Model and Its Application
Authors: He Chun , Peng Xuanmiao , Chen Zhichao 
Published: February 2024

Abstract
In this paper, for the remote sensing images acquired under the GIS model, the wavelet thresholding denoising method is used to reduce the noise to improve the quality of computer images, combined with the image filtering method to complete the grayscale preprocessing of the image, and fused different operators to extract the edge features. To improve image alignment and decrease the amount of splicing calculations, a proposed raster DEM data fusion and splicing algorithm utilizes image feature information. An experimental environment has been created for preprocessing computer vision images by comparing peak signal-to-noise values at different levels to find the best parameters for wavelet thresholding denoising. The feasibility of the preprocessing method in this paper is tested by placing unpreprocessed and preprocessed images in DeepLabv3 and DAM-DeepLab models for training purposes. Test the effectiveness of this paper’s algorithm for fuzzy image target feature description by simulated image edge extraction process. Real-time and effective evaluation of image stitching verifies the reliability of the algorithm. The data show that the splicing results of the four different methods under different scene images are 6.6932 for the global transform algorithm, 6.6831 for the APAP algorithm, 6.6449 for the AANAP algorithm, and 6.6948 for the algorithm of this paper. This paper’s algorithm has seen an improvement in average information entropy by 0.16%, 1.17%, and 4.99% when compared to other algorithms. The theory of graphics application technology within GIS is enriched through the study of computer graphics processing technology within the GIS model.
UEFI-based Research on the Inner Operation Mechanism and Characteristics of Firmware Vulnerabilities in Key Devices of Electric Power Monitoring Systems
Authors: Chen Mingliang , Yu Yingting , Xie Guoqiang , Zeng Chuanhan , Xu Zaide 
Published: February 2024

Abstract
With the large number of computer technology and modern communication technology used in power monitoring systems, its security protection is constantly facing new challenges. The UEFI firmware is used to construct the physical connection structure of key devices in the power monitoring system in this paper. Using fuzzy testing methods to mine the vulnerabilities existing in the power monitoring system by generating a large number of variant test cases as the monitoring object, based on the collection of information of the basic blocks covered during the test run of the vulnerability seed to determine the target point to which the seed belongs. The coverage weight of the seed is determined with the help of the simulated annealing algorithm in order to accomplish task division of the target point. The fuzzy test method is used to analyze the operation mechanism and characteristics of the vulnerabilities in the power monitoring system, and the firmware attack mechanism of different HOOKs under UEFI is explored to summarize the characteristics of the scenarios in which the vulnerabilities appear in the power system as well as their impacts. The results show that the impact caused by vulnerabilities in the power monitoring system on the generation side and transmission side is mainly to damage the integrity and availability of information, the integrity and availability of the vulnerabilities in the generation side of the production side of the device with a risk rating of 63.74, 71.73, respectively, and the vulnerabilities in the transmission side of the SCADA with a risk rating of 79.04, 69.36, respectively. The vulnerabilities detected 608 security vulnerabilities were implanted in the UEF module, and 653 possible security problems were reported by the detection, of which the statistical underreporting rate was 1.48% and the false alarm rate was 9.05%.
An Exploration of English and American Literature Classroom Teaching in College English Based on Interactive Teaching Methodology
Authors: Song Rongrong 
Published: February 2024

Abstract
This paper establishes an index system based on the interactive teaching method and the characteristics of the English and American literature classroom, quantifies the index system as well as the student opinion data using the RBF neural network, and subsequently derives the actual teaching effect of the interactive teaching method for the classroom teachers to adjust their teaching strategies. The focus of this paper is to add a connection from the input layer to the output layer in the RBF neural network and to improve the operating effect of the RBF neural network with nearest neighbor clustering and steepest descent method. After the model design was completed, it was put into practical use in two universities to quantitatively evaluate the teaching effectiveness of the experimental and control classes that adopted the method of this paper. The average test scores of the students in the two classes in the first university differed by 5.2 points, but the probability of significance from the independent samples t-test results of the post-test scores of the two classes was 0.042, which was lower than 0.05. The reading score of the experimental class in the second university after changing the teaching method was 3.4863, which was higher than that of the control class, which was 2.8567. The use of the interactive teaching method in the classroom of English and American Literature can enhance students’ various abilities.
Research on the Reform Path of Music Teaching in Colleges and Universities in the Era of Artificial Intelligence
Authors: Zhang Kai 
Published: February 2024

Abstract
In recent years, the rapid development of artificial intelligence technology represented by knowledge graphs and deep learning has provided an opportunity for educational innovation and learning mode change. A smart music learning model for colleges and universities is developed in this paper with the help of artificial intelligence technology. Learning data analysis is achieved through the use of a community discovery algorithm based on graph data in the model. In order to construct the learning community, the AGNES hierarchical clustering algorithm is used to cluster individual samples in the dataset. Learning big data and music professional ability are correlated through the mining of learner portrait features. Personalized learning paths are generated using the improved convolutional neural network. As experimental subjects, sophomore music majors at X institution were tested and analyzed for the teaching model in the end. The results show that the maximum learning interaction coefficient of the experimental subjects can be obtained as 5.34 and the maximum learning path coefficient as 2.84 under the smart learning mode. The correlation coefficients of the use of the smart learning mode with the usual test scores and the learning effort values are between 0.318 and 0.502. Teachers can obtain precise teaching data from this paper to quantitatively characterize subject competence goals and facilitate the smooth implementation of smart learning.
Analysis of Influencing Factors on the Quality of Teaching Reform of Physical Education Courses in Colleges and Universities Combined with Entropy Weighted TOPSIS Modeling
Authors: Lu Yikuan 
Published: February 2024

Abstract
Students’ total core literacy is influenced by the quality of instruction in physical education courses, which also has an impact on the students’ physical quality and complete level. The evaluation index system established in this paper is based on changes in teaching standards in physical education programs at higher learning institutions. A thorough evaluation of reform quality is performed using the TOPSIS method, while index weights are calculated using the entropy weight method. The quality of the physical education class teaching reform was used as an explanatory variable while teaching material, teaching method, and teaching evaluation were used as explanatory factors to create multiple linear regression equations. The evaluation of teaching reform was conducted using both horizontal and vertical methods, utilizing fifteen institutions in the province of S as examples. The factors that had an impact on the reform were examined through regression and correlation analyses. The findings demonstrate that: first, a positive correlation between subject matter, teaching methods, and teaching evaluation is demonstrated at the 1% level; second, the R2 value in the regression analysis increases from 0.457 to 0.638; and third, the quality of instruction reform in university physical education courses will encourage the generation of students’ sports understanding, with a weight value of 0.3674. To truly enhance the quality of its teaching reform and foster students’ understanding of physical education, colleges and universities need to start with the teaching content, teaching methods, and teaching assessment of their physical education courses. This is a good example of how to raise the standard of its instructional overhaul and foster a lifetime interest in sports in kids.
Study on the Development of “Trinity” Elderly Education in the Context of Global Informatization
Authors: Zhu Zheng , Yuan Yirong , Chai Fei 
Published: February 2024

Abstract
Promoting the high-quality development of geriatric education is the value tendency of the national aging policy, and it is the proper meaning of practicing the concept of positive aging and the necessary way to build a lifelong education system. This paper constructs a “three-in-one” geriatric education community from the three dimensions of schooling, teaching and learning and establishes a geriatric education service quality evaluation system with SERVQUAL service quality model. With regard to the relevant factors affecting the development of the quality of geriatric education services, the University of Geriatric Education in Province D is taken as an example, and the data are quantitatively analyzed by using structural equation modeling and robust regression estimation. The results show that the expected value of tangibility in the quality of geriatric education services is the lowest at 4.139, its perceived gap value is only −0.334, and the expectations of older learners under 65 years old are in the range of 4.75 to 5.00. The regression coefficients of government policies and infrastructure on the development of the quality of elderly education services were 0.282 and 0.251, respectively, which decreased significantly after the inclusion of demographic variables. The elderly’s subjective well-being had a direct effect of 0.452 on the quality of geriatric education services, which was also significant indirectly. The development of high-quality geriatric education requires the joint efforts of the government and society at large to provide an effective foundation for the realization of lifelong education.