bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Exploration of the Role of Factor Analysis in Cultural Cognition on English Proficiency
Authors: Chen Yuanyuan 
Published: August 2024

Abstract
The role of cultural cognition on English proficiency has received extensive attention in the academic community, and this article analyzes the role of cultural cognitive ability on English proficiency by taking advantage of the advantages of factor analysis in revealing the underlying structure and data interpretation and understanding. The article firstly argues the importance of cultural cognitive ability on English proficiency and then elaborates on the mathematical model of factor analysis from the aspects of raw data and correlation matrix, factor analysis, and factor loading. Factor analysis is used to calculate the correlation matrix and extract four common factors according to the rule of eigenvalue greater than 1. The distribution of factors was adjusted by factor rotation, and the common factors that could explain 71.686% of the test data were named “English Expression Ability”, “English Comprehension Ability”, “Cultural Receptivity Ability,” and “Cultural Communication Ability”, and then classified as “Cultural Cognitive Ability” and “English Ability”. It is found that the loading coefficients of English expression, comprehension, and cultural acceptance and communication ability on English proficiency and cultural cognitive ability are 0.642, 0.591, 0.547, 0.392, 0.438, 0.511, 0.421, and 0.604, respectively, which indicates that cultural cognitive ability has a facilitating effect on the students’ English expression and comprehension, and therefore should be cultivated at the while focusing on the cultivation of cultural cognitive ability.
Research on the application of Internet of Things (IoT) for water and fertilizer integration and smart irrigation system in cotton production
Authors: Guo Zhenhua , Chen Huanmei 
Published: August 2024

Abstract
The application of water-fertilizer integration and intelligent irrigation systems in cotton production will greatly promote the increase of cotton yield and quality, which has significant application value for cotton production. This paper introduces Internet of Things (IoT) technology in the water-fertilizer integration and intelligent irrigation system and shifts cotton production to an information-centered production mode. In this paper, water-fertilizer integration adopts the first part of the main pipe fertilizer premixing system, which combines venturi and centrifugal pumps to form a fertilizer mixing equipment and uses sensors to collect the environmental information of cotton growth and development and the growth condition of cotton and also designs the fuzzy PID automation control module to realize water-fertilizer integration and smart irrigation. In the application test on June 22, 2022, the air temperature decreased, humidity increased, and light intensity gradually decreased after 15:30 due to the weather turning cloudy. After the rain stopped around 20:00, the sensors detected that the air temperature reached the lowest value of the test practice section, 28°C, which is sensitive to the environment. Compared with the artificial irrigation method, it can increase cotton yield by 66.98% while saving water by 11.59%, and the application found that the EC value of the fertilizer solution in the fertilizer mixing bucket reached a steady state at about 150s, and the fertilizer decision-making model also has a greater superiority compared with manual.
CHAID Model Construction and Analysis of Living Conservation Efficacy for the Integration of Historical Materials in Rural Bookstores
Authors: He Rong 
Published: August 2024

Abstract
This paper integrates the historical information related to the four rural study halls at the historical material level to understand and deeply explore their value characteristics. Based on this, we sort out the influencing factors of the conservation effect of the rural study halls, sort out the influencing factors of the conservation effect of the rural study halls through principal component analysis and the CHAID model and explain the various factors affecting the conservation effect and their interrelationships through statistical analysis. According to the empirical results, the revitalization strategy is introduced to provide suggestions for the development of rural bookstores. The historical value of the village academy is the most important value element in the comprehensive value comparison, with a high rating of over 1.2 points, followed by the cultural value. The factors affecting the protection effect are sorted out. The final model reflects the problem in which the survival environment dimension is negatively affected overall (-0.004). The cultural places related to the rural academy should be repaired and built in addition, on the basis of which various activities are guaranteed to be carried out on a regular basis. In terms of government support (0.351) and inheritor protection (0.173), the current initiatives have certain positive effects.
Research and Design of Grid Safety Inspection Path Planning and Work Order Assignment Based on Dijkstra and Optimal Scheduling
Authors: Liu Lei , Zhou Xiangfeng , Li Chengjun , Gao Xiaolan , Luo Shuxian , Xue Guoquan 
Published: August 2024

Abstract
The power grid is the core of power energy transmission and distribution in modern society and is affected by many factors, such as the number and variety of its equipment and the intricate structure of the grid, which leads to a more severe situation that the safe operation of the power grid will face. This paper gathers data on the operational status of grid equipment, historical maintenance records, customer complaints, and more. It then employs Monte Carlo simulation sampling to select and analyze the risk state of the grid system, as well as to determine the overall risk probability of the calculation system and the level of consequence indicators. An improved Dijkstra algorithm is applied to plan the optimal path for UAV grid inspection. Based on the inspection and risk assessment results, work orders are automatically generated and assigned to the corresponding maintenance personnel. Simulation results show that the proposed method obtains two optimal inspection schemes, TSP and EETSP. The TSP scheme obtains the shortest path when the inspection data volume is 50 Mbits, and the EETSP scheme obtains the shortest moving time when the inspection data volume is 200 Mbits. The UAV-cooperative transmission line inspection path planning method proposed in this paper can improve grid inspection efficiency and effectively solve the optimal path planning problem in large inspection areas.
Analysis of Effective Approaches and Effectiveness of College Students’ Mental Health Education under the IMB Model
Authors: Li Zhuojun , Yang Zhibo 
Published: August 2024

Abstract
Carrying out mental health education is an important way to carry out college students’ mental health education work, and it is also an important way to popularize mental health knowledge and improve college students’ psychological literacy. Combined with the IMB model, the article proposes an effective way of mental health education for college students, and out of the need to objectively analyze the psychological well-being of students, it designs and implements a psychological knowledge map model and finally constructs an SVM prediction model based on the knowledge map. The main conclusions drawn from the experiments using the model proposed in this paper are: a portion of the students have a potential risk of suicide, with 33.32% of the lower and above, 18.65% of the medium and above, and 5.86% of the higher and above, and more than half of the first-year college students have different degrees of depression. In the test of the difference between experimental and control classes on the posttest, p=0.021<0.05, p=0.012<0.01, p=0.046<0.05, so the overall score of the posttest of the experimental class was higher than the posttest of the control class.
Prevention of common sports injuries of the knee joint in martial arts sparring training
Authors: Chen Ying , Zhuang Hai 
Published: August 2024

Abstract
The occurrence of knee joint sports injuries in wushu sparring training can bring great harm to athletes’ lives as well as their work. For this reason, this paper proposes a monitoring and prediction model for knee joint injuries in martial arts sparring. We synthesize the causes and components of sports injuries by conducting a theoretical analysis of the fundamental circumstances of knee joint injuries. We construct the sports mechanics model by combining the kinesiology and physiological structure of the knee joint. Next, we gathered the knee joint forcefulness parameter data using a sensor and a mechanical model, preprocessed the data, and built a sports injury monitoring model for the knee joint using WNN, verifying its effectiveness. The multiple regression equation of peak knee force is 35.529*speed+49.995*BMI index+81.886*gender. Moreover, the threshold of knee joint abnormality in the WNN model should be corrected to 0.563, and the threshold of meniscus tear should be corrected to 0.379. Meanwhile, with the assistance of this method and the combination of scientific preventive measures, the probability of sports injuries can be effectively reduced and, at the same time, guarantee the better development of martial arts sparring training.
Research on the construction strategy of economic dispatch scenarios for interconnected grid security
Authors: Guo Zhenyu 
Published: August 2024

Abstract
This paper, using the SCED model, develops a method for creating security-constrained economic dispatch scenarios of interconnected grids. This method is based on strategy combinations that consider optimization objectives, planning strategies, and basic data processing. It also analyzes the adaptability of different scenarios and the complexity of the subsequent model construction. Finally, it combines these analyses and calculations with actual grid data. The actual calculations show that the planning of the whole network model for a province has a load factor range of 70%–80%, which meets the actual demand. Line current errors are all within 10%. The contact line plan passing rates are all above 90%. The total cost error of M2 is 22.63%, which is much larger than the method proposed in this paper (Scenario 4). After optimization, the total cost of purchasing power for the regional interconnected grid system decreases. By constructing a reasonable combination strategy, we can enhance the availability and practicality of security-constrained economic dispatch techniques for interconnected grids.
Positioning and Path Exploration of Precision Teaching for English Practical Ability
Authors: Jiao Li 
Published: August 2024

Abstract
In the era of big data in education, the application of campus data mining has become a new challenge for the reform and innovation of education and teaching modes in colleges and universities. The study improves the assessment indexes for English practical ability and develops a learner portrait model that is geared towards English practical ability. After obtaining the relevant data of English majors in a university, data mining algorithms such as K-means and Apriori are applied to construct the learner portrait, outputting the behavioral and outcome characteristics of different groups of students. On this basis, we design precise intervention teaching for students with different profiles, analyze the effect analysis of precise teaching from the perspectives of learning behaviors and learning outcomes, and further summarize the generation path of precise teaching oriented to English practical ability. The sample students are divided into three categories: excellent learners (25%), striving learners (20%), and marginal learners (55%). Precision instruction enabled students to promote participation, interaction, and concentration in the classroom and resulted in an 8% to 13% increase in English learning outcomes. Practical English proficiency teaching that is precision-oriented can effectively improve the quality and efficiency of teaching and promote the improvement of students’ English proficiency.
A Quantitative Study on Strategies for Enhancing English Classroom Interaction Based on Decision Tree Analysis
Authors: Liao Li 
Published: August 2024

Abstract
The quality of classroom interaction has received more and more attention as an important part of the teaching quality of English-specialized courses in colleges and universities. After completing the decision tree-based English classroom interaction analysis model based on the ID3 algorithm, this paper quantitatively analyzes the English classroom interaction rules and then designs the English classroom interaction enhancement strategies containing the three directions of teacher-teacher, teacher-student, and student-student on the basis of the derived rules and conducts a one-academic-year teaching experiment for English majors in a university in Guangzhou. It was found that the experimental class and the control class had the largest gap in two indicators: classroom discussion sessions (19.38% and 2.61%) and student manipulation techniques (9.07% and 0.41%). In the two classes at the beginning of the semester, the quality level scores of classroom interactions in both classes were below 30. In contrast, in the last two classes of the school year, the experimental class remained stable above 70 points until the end of classroom instruction. The control class remained below 30 points. After the beginning of the teaching experiment, the probability of students’ active speaking, group collaboration, or discussion in the experimental class increased rapidly. The probability of students’ active speaking stabilized at about 0.8 by the end of the 16th week. In contrast, the probability points of the control class were distributed more discretely in the course of the experiment, and the probability was basically below 0.4. In the experimental class, the English classroom interaction enhancement strategy proposed in this paper has yielded better results.
An Innovative Model for the Intersection of Big Data and Artificial Intelligence in Tourism for Consumer Behavior Analysis
Authors: Ma Xiao 
Published: August 2024

Abstract
Currently, the development of tourism big data and artificial intelligence cross-technology provides an important role for the tourism industry to predict and analyze consumer behavior and help the development of the tourism industry. This paper discusses the relationship between tourism big data and tourism consumer behavior, and as a basis for consumer behavior, puts forward the ARMA model and LSTM model based on consumer behavior data and then combines them to design a single-layer LSTM-based combination prediction model. Finally, a famous tourist attraction in GD province is used as an empirical research object, and the model proposed in this paper is used to predict and analyze consumer behavior. The analysis of tourism shopping goods revealed that 44.97% of consumers preferred to buy tourism souvenirs, indicating that the cultural and creative products in Area A are more appealing to tourists.
A study on the application of game theory modeling in the analysis of pharmaceutical price elasticity
Authors: Xu Yan , Wu Qide 
Published: August 2024

Abstract
Setting reasonable drug prices is the fundamental goal of drug price elasticity analysis, and the game theory method can play a role in drug pricing by analyzing the behaviors of multiple game subjects to give a plan that meets the best interests of all parties. The optimal pricing strategies under different threshold conditions are summarized by establishing four model assumptions and solving them based on the basic model of game theory and the bidding process. Accordingly, the drug pricing of Pharmaceutical Company F was analyzed, and it was found that its optimal pricing was 21.3yuan, at which time the profit was 132.74% higher than the original pricing profit. After applying this pricing, it was found that the implementation of the new pricing increased the mean score of the company’s profitability by 0.16738 to 0.19504 as compared to before the optimized drug pricing strategy, indicating that the pricing strategy improved by the game theory model is able to provide the company’s level of profitability and is feasible.
A Quantitative Study of the Effect of English Civics Elements on Students’ Critical Thinking Skills in EFL Classrooms in a Big Data Environment
Authors: Yang Jiao , Ma Famin 
Published: August 2024

Abstract
A quantitative research design approach was used to quantify the dependent variable critical thinking skills using big data technology to draw a research sample from 85 institutions in 18 provinces and regions. A qualitative study of the impact of variables such as the English Civics element in the EFL classroom on students’ critical thinking skills was conducted by gradually adding variables in conjunction with the results of quantitative calculations of students’ critical thinking skills. To explore the influence factors of variables such as English civic and political elements on students’ critical thinking ability, a PCA algorithm was used to quantitatively analyze the influence factors. In this paper, English Civics elements such as “scientific spirit” and “patriotism” have a significant impact on students’ critical thinking ability, and their correlation coefficients are between 0.8 and 0.95.
Taxonomy of Tobrilidae species from the Alkaline Lakes of the western Nebraska Sandhills
Authors: Mullin Peter G. , Harris Timothy , Higgins Rebecca , Dutta Enakshy , Porazinska Dorota L. , Powers Kirsten , Powers Thomas 
Published: August 2024

Abstract
Six distinct COI mitochondrial Haplotype Groups (HG) are morphologically, ecologically, and genetically characterized from the aquatic nematode family Tobrilidae. Collection locations included the extreme habitats of the Alkaline Lakes in the western Nebraska Sandhills and the contaminated stream, Johnson Creek, bordering the AltEn 2021 catastrophic pesticide release near the village of Mead in eastern Nebraska. Maximum likelihood and genetic distance metrics supported the genetic integrity of the haplotype groups. Discriminant function analysis of COI haplotype group datasets of combined morphological characters and soil chemistry attributes for both male and female Tobrilidae were classified correctly in all but one case. Scanning electron microscopy revealed new details about amphid apertures, male supplements, and spicules. Partial 18S gene phylogeny suggests that the genus Semitobrilus may not be a member of the subfamily Neotobrilinae, and three specimens in the 226 tobrilid dataset provide evidence of incongruence between COI and 18S derived phylogenies. Given the strong signal provided by the environmental chemistry data, tobrilid mitochondrial haplotypes may well have value as environmental indicators.
First Report and Molecular Variability of Belonolaimus longicaudatus Associated with Turfgrass in Maryland
Authors: Waldo Benjamin , Skantar Andrea , Handoo Zafar , Li Shiguang , Habteweld Alemayehu , Shahoveisi Fereshteh 
Published: August 2024

Abstract
Turfgrass is a crop used extensively in athletic fields and golf courses in Maryland. A soil sample collected in July 2023 from an athletic field in Baltimore County, Maryland, part of a turfgrass nematode survey, contained Belonolaimus longicaudatus. In the southeastern United States, B. longicaudatus is an economically important pathogen of warm season turfgrass. The density was four individuals/100 cm3 of soil, and no visual symptoms were observed in the bermudagrass field. Morphological features and morphometrics of males and females were consistent with B. longicaudatus and placed the Maryland population in a subclade that was geographically represented by populations from north and west Florida, Texas, and South Carolina. Sequencing of the internal transcribed spacer region ITS1 and ITS2 and 28S large ribosomal subunit D2-23 expansion region confirmed the species' identity. Phylogenetic trees and parsimony network analysis placed the Maryland isolate in a large grouping of B. longicaudatus populations including those from Alabama, Delaware, Florida, Indiana, Mississippi, South Carolina, and Texas. To our knowledge, this is the first report of B. longicaudatus in Maryland.
Determination of Factors Affecting the Cumin Production Decision of Agricultural Enterprises: The Case of Konya Province
Authors: Çiftci Fatma 
Published: August 2024

Turkey has vast agricultural lands and diverse climatic conditions, and different plant species can be cultivated. Especially, Konya province, located in the Central Anatolia Region, is an important agricultural centre in Turkey. Konya province, which has a polyculture production pattern, stands out in the production of medicinal and aromatic plants due to its favourable climatic conditions and soil structure. In Turkey, 26.33% of cumin, which is among the medicinal and aromatic plants, is produced in Konya province. This study aims to determine the factors affecting cumin production. For this purpose, 65 cumin producers determined by proportional sampling method were interviewed. The data obtained through these interviews were analysed by using the Analytic Hierarchy Process (AHP) method to determine the weights of the criteria affecting the cumin production decision of the agricultural enterprises. In the process of determining the criteria influencing the cumin production decision, the opinions of subject experts working in universities, public institutions and organizations and producers were taken. Among the criteria determined as yield, price, labour requirement, water requirement, ease of marketing, mechanisation, input costs, cultivation knowledge, soil structure and subsidies, the most important criterion was found to be price with 28.11%. Price criterion is followed by input cost 22.57%, water requirement 12.13%, yield 8.71%, cultivation knowledge 8.43%, subsidies 6.82%, ease of marketing 4.74%, soil structure 3.63%, mechanisation 2.54% and labour requirement 2.25%. It is thought that the solution of the mechanisation problem will make a significant contribution to cumin production as it will reduce the need for labour force.
Perfil da produção domiciliar de alimentos e segurança alimentar de idosos na atenção primária à saúde
Authors: Massad Jackeline Corrêa França de Arruda Bodnar , Kirche Ana Paula Porto Amorim , Scarinci Fabricia Avila , Vieira Kalita Vefago , Vargas Miriam Carla Delgadillo , Mello Rafaella Camargo Mendonça de 
Published: August 2024

Objetivo: Avaliar a produção de alimentos para autoconsumo em domicílios com idosos no município de Várzea Grande - MT. Métodos: Trata-se de um estudo transversal, com uma amostra de idosos, com idade igual ou superior a 60 anos e inferior a 80 anos de ambos os sexos, assistidos pela Atenção primária à saúde no município de Várzea Grande, Mato Grosso. Os dados demográficos analisados foram: sexo, faixa etária, raça/cor, naturalidade, escolaridade, renda mensal, além das variáveis relacionadas à disponibilidade de alimentos através de produção própria e a segurança alimentar e nutricional por meio da Escala Brasileira de Insegurança Alimentar. Resultados: Foram investigados 312 idosos, sendo que a maioria (58,7%) produzia algum tipo de alimento, com predominância de temperos e ervas (41%), frutas (38,5%) e tubérculos e raízes (22,8%). Do total de idosos que produziam alimentos no domicílio (n = 183), a maioria estava em situação de insegurança alimentar (82,5%, n = 98). Conclusão: A produção de alimentos foi predominante entre os investigados, de modo especial nas idosas mais jovens, de raça/cor não branca, nascidas em outro estado, com baixa renda e escolaridade, com insegurança alimentar e que produziam principalmente temperos, ervas e frutas.