bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of individualized facial growth prediction models based on the partial least squares and artificial intelligence
Authors: Moon Jun-Ho , Shin Hak-Kyun , Lee Ju-Myung , Cho Sung Joo , Park Ji-Ae , Donatelli Richard E. , Lee Shin-Jae
Published: November 2023

Objectives

To compare facial growth prediction models based on the partial least squares and artificial intelligence (AI).

Materials and Methods

Serial longitudinal lateral cephalograms from 410 patients who had not undergone orthodontic treatment but had taken serial cephalograms were collected from January 2002 to December 2022. On every image, 46 skeletal and 32 soft-tissue landmarks were identified manually. Growth prediction models were constructed using multivariate partial least squares regression (PLS) and a deep learning method based on the TabNet deep neural network incorporating 161 predictor, and 156 response, variables. The prediction accuracy between the two methods was compared.

Results

On average, AI showed less prediction error by 2.11 mm than PLS. Among the 78 landmarks, AI was more accurate in 63 landmarks, whereas PLS was more accurate in nine landmarks, including cranial base landmarks. The remaining six landmarks showed no statistical difference between the two methods. Overall, soft-tissue landmarks, landmarks in the mandible, and growth in the vertical direction showed greater prediction errors than hard-tissue landmarks, landmarks in the maxilla, and growth changes in the horizontal direction, respectively.

Conclusions

PLS and AI methods seemed to be valuable tools for predicting growth. PLS accurately predicted landmarks with low variability in the cranial base. In general, however, AI outperformed, particularly for those landmarks in the maxilla and mandible. Applying AI for growth prediction might be more advantageous when uncertainty is considerable.
Exploration of distance instruction types and operation plans based on teacher and learner needs analysis for universities by stage of COVID-19 spread
Authors:   The Korean Society for the Study of Local Education Management, Kim Hye Kyung , Ahn Byung Hun
Published: November 2023

This study tried to explore the types of distance instruction and operation plans based on the experiences and demands of instructors and learners about distance instruction that were attempted in the disaster situation of COVID-19. Therefore, this study divided the COVID-19 response situation into three stages and analyzed the experiences and needs of instructors and learners. To conduct this study, 165 instructors and 986 learners responded to the survey, and 3 instructors and 3 learners participated in the interview. As a result of the study, in the satisfaction of distance instruction in response to COVID-19, the satisfaction of instructors and learners was found to be statistically significantly different in 'understanding of learning content', 'reduction in learning volume', 'repetitive learning', and 'improvement of self-directed learning competency'. appear. In the video content utilization class, instructors responded that ‘lecture + quiz/learning activity assignments are provided’, but learners tended to perceive it as ‘lecture-type class’. Also, according to the subject type (theory/experimental practice/integration), lecture-centered classes were commonly presented as the teaching methods expected by instructors and learners in real-time ZOOM classes. In addition, a result of the survey and interview analysis of instructors and learners, six types of distance instruction were derived for each stage of COVID-19 spread. Expert validation was conducted twice for the result of deriving the distance instruction type, and the final distance instruction type and operation plan were presented. In short, this study suggests that there is a need to convert the existing face-to-face class method to a new distance instructional system from the demands of instructors and learners for distance instruction using non-face-to-face methods.
The Value of Nursing Competence and Staffing for Patients in Critical Care: A Scoping Review
Authors: Stafseth Siv K. , Flatland Sigbjørn , Granerud Ellen , Berg Jan , Hansen Britt Sætre
Published: November 2023

Background: Nurse competence and staffing in critical care are of interest to hospital managers and politicians, especially if a relationship exists between educated nurses and patient outcomes. Observational data can describe and measure the impact of critical care nursing practices in intensive care units and may be linked to outcomes. 
Objective: The aim of this study was to provide an understanding of how levels of nursing competence and staffing in intensive care units are described and associated with nurse-sensitive outcomes.
Methods: A scoping review was conducted. Electronic databases, including CINAHL, Medline, Embase, the British Nursing Index, and SweMed+, were searched for English language studies from 2006 to 2023. The inclusion criteria were nurses working in critical care, nurse staffing ratio or assessment, and nurse-sensitive outcomes for intensive care patients.
Results: Twenty-one studies were included. As only few studies mentioned the educational level of nurses and the studies used several job titles, it was difficult to interpret nursing competence. Studies that used valid tools for workloads often reported significant results of nursing staffing related to nurse-sensitive outcomes. Adverse events increased with higher levels of nurse workload, and some events were also affected by the level of competence. Lower mortality rate was linked to more nursing hours per patient. 
Conclusion: We found associations between education, nurse staffing, and nurse-sensitive outcomes in intensive and critical care units. To highlight its effects, advanced nursing competence in critical care and research must be better described. Patients’ need for nursing competence must be assessed using validated tools.
Nu var det år 2022 – politiska, strukturella och personliga hinder för lärarutbildningens akademisering i Sverige 1948–2022
Authors: Erixon Per-Olof
Published: November 2023

This essay is about the research development of Swedish teacher education (TE) with a particular focus on Umeå University during the 1990s. The historical background consists of the reform proposals in the field of schools and TE presented in the late 1940s by the 1946 School Commission and then carefully and slowly implemented the coming decades after numerous governmental investigations. The aim captures the question why it took so long time to integrate TE into the Swedish enlarged higher education system. One explanation that presented relates to the fact that TE did not receive its own academic structures when it was integrated in 1977 and that it was subordinated to the good will of the established university disciplines to develop research and postgraduate education with relevance to TE. Another explanation is that the incorporation of vocational education into university structures generally challenges the historical independence of the independent disciplines and the right to define their own research, while at the same time they became more dependent on political decisions. The order of discourse that prevails within the university is based on the university disciplines that constitute power base at the university, which is unreflectively traded by the university’s top management, not infrequently recruited from a natural science discipline. The conclusion is that a new order of discourse should be built up before TE together with other vocational programs, fully becomes a natural part of the Swedish university structures.
Den modersmålsdidaktiska forskningens roll för professionalisering av lärarutbildningen – metod och tema i fem bidrag
Authors: Erixon Per-Olof , Ongstad Sigmund
Published: November 2023

In this last and concluding chapter, we use a meta-perspective on the five contributions with respect to both form and content. We then find that the construction of the five chapters in several respects is the same, but also differs, for example in terms of the personal positioning in the texts. A central theme in the various texts is knowledge development. Several of the authors depict an internal knowledge-based academic development of the teacher education subject, while others emphasize the external one. Methodologically, all authors use, but in different ways, a combination of life stories – scientific essay. This means that the different ‘life stories’ that are presented in the different stories are also placed in their social, historical and political context – ‘life histories’. As an important contextual factor, several of the authors connect to the sociological concept of “social generation” by linking their stories to the 1968 generation as a discursively mediated identity. The contributions largely follow the authors’ internal, professional history with an emphasis on the epistemological dimension, or in other words the epistemological development. While we regard this substantive focus in the various contributions as a complementary contribution to professional research’s emphasis on the external, i.e. form and function, and formal academicization, we reflect on the relationship between professionalization, academization, school and teacher education. We conclude that the development of subject didactics constituted a major subject- and knowledge-wise addition to teacher education and significantly contributed to teacher education research and professionalization in all four countries.
Stability of branches of lattice elements of steel structures
Authors:   Saint Petersburg State University of Architecture and Civil Engineering, Belyy G. I. , Lobovskiy M. O. ,   Saint Petersburg State University of Architecture and Civil Engineering
Published: November 2023

There has been obtained a solution of the problem of the general stability of the lattice rod, taking into account the stability of the branch between the lattice nodes (local stability) in an analytical form, which is convenient in practical application. It allows taking into account the impact of defects and damages, as well as the misalignment of the lattice nodes on the overall stability of the through rod. It is shown, that with conditional flexibility of the branch, the decrease in overall stability may be significant. Two-branched rod elements isolated from the design according to the calculated length from the lattice plane are almost always loaded in the lattice plane with different values of longitudinal force and bending moment at the ends.Consequently, the longitudinal forces in the branches most loaded from the lattice plane will always be variable. The use of the actual loading scheme in solving the stability problem allows revealing very significant reserves of load-bearing capacity. The solution is obtained by means of the inverse numerical-analytical method, which allows performing the calculation in almost a few seconds. The speed of the solution depends on the number of iterations necessary to find solutions, the mechanism used to «hold» the values of relatively small (inherent in the branches) eccentricities of the longitudinal force constant.
Gypsum amendment influences soil and plant chemical composition temporarily
Authors: Yli-Halla Markku , Taskinen Antti , Ekholm Petri
Published: November 2023

Field application of gypsum (CaSO4 × 2H2O) is a tool to decrease phosphorus (P) load to watercourses. Effects of gypsum application (4 tons ha-1) on soil and crop composition were monitored up to four years after the treatment in the Savijoki catchment, southwestern Finland. Eleven amended fields and 17 control fields were analyzed for easily soluble P, Ca, Mg, K, S, pH(H2O), electrical conductivity (EC)  and loss-on-ignition. Plant samples were analyzed for most nutrients and Se. Downward S transport was monitored in two fields. In the first spring after gypsum application, but not later, S concentrations and EC were substantially but not harmfully elevated in the plough layer, with no other significant effects on soil composition. Sulfur leached out slightly less rapidly from clay than from the coarse mineral soil. Plant S concentration increased for the first and the second year. In conclusion, gypsum application did not have adverse effects on soil or crop chemical composition in this survey of predominantly clay soils.
Conversión y análisis matemático de los deshechos de huesos de cerdo para la obtención de harina en la empresa INVERGEP S.A.C.
Authors: Chuquicondor Villafuerte Rafael Cleto , Pomar Huamaliano Donato Lázaro , Acuña Delgado Leonardo Dante , Pomar Huamaliano Osia
Published: November 2023

La investigación se realizó en las instalaciones del centro de tratamiento de residuos sólidos de origen agroindustrial de la empresa INVERGEP S.A.C. En el fondo Bozas distrito de Aucallama, provincia de Huaral- Lima región. El objetivo es la conversión del deshecho de huesos en base húmeda de cerdo en harina de hueso base seca y el modelamiento matemático del mismo. El diseño es no experimental porque carece de manipulación intencional de las variables. El tipo de investigación es aplicada, con nivel de investigación correlacional y explicativa, el enfoque de la investigación es cuantitativo. Se identificaron como variables: deshechos de huesos de cerdo y la harina de huesos como insumos agropecuarios. Se concluye que existe una relación de 84% de huesos húmedos y 16%, harina de huesos, quiere decir que por cada cinco partes de huesos en base húmedo se obtiene una parte de harina de huesos en base seca y en referencia sobre el análisis matemático es que el valor-P es menor que 0.05, quiere decir que existe una relación estadísticamente significativa entre harina de huesos y los deshechos de huesos con un nivel de confianza del 95%, ademásque, el coeficiente de correlación es igual a 0.998248 lo que indica una relación relativamente fuerte entre las variables.
Sostoyanie nervno-psihicheskogo zdorov'ya shkol'nikov pri razlichnom vremeni ispol'zovaniya mobil'nyh elektronnyh ustrojstv
Authors: Соловьева Ю. В. , Паунова С. С. , Семичева В. Р. , Скоблина Н. А. , Милушкина О. Ю.
Published: November 2023

Mirovaya problema dlya zdorov'ya naseleniya — nekontroliruemoe vremya ispol'zovaniya elektronnyh ustrojstv. Sostoyanie nervno-psihicheskogo zdorov'ya sovremennyh shkol'nikov svyazano s razlichnymi faktorami, v tom chisle so vremenem ispol'zovaniya mobil'nyh elektronnyh ustrojstv. Cel' issledovaniya — analiz sostoyaniya nervno-psihicheskogo zdorov'ya shkol'nikov pri razlichnom vremeni ispol'zovaniya mobil'nyh elektronnyh ustrojstv. V 2022—2023 uchebnom godu s pomoshch'yu oprosnikov A. M. Vejna dlya vyyavleniya priznakov vegetativnyh izmenenij i S. K. Kulakova dlya vyyavleniya internet-zavisimosti bylo oprosheno 109 shkol'nikov (35 mal'chikov i 74 devochek), obuchayushchihsya v obrazovatel'nyh organizaciyah g. Moskvy. Srednij vozrast sostavil 14,9 ± 0,12 let. SHkol'niki byli razdeleny na dve gruppy: soblyudayushchie reglament ispol'zovaniya mobil'nyh elektronnyh ustrojstv (pervaya gruppa, n = 11) i prevyshayushchih reglament (vtoraya gruppa, n = 98). Srednij pokazatel' ekrannogo vremeni ispol'zovaniya mobil'nyh elektronnyh ustrojstv za mesyac sostavil v pervoj gruppe 110,50 ± 10,00 min/den', vo vtoroj — 345,00 ± 15,00. Srednie znacheniya ballov po oprosniku A. M. Vejna v pervoj i vtoroj gruppah imeli dostovernye razlichiya (p ≤ 0,01) i sostavili 12,30 ± 1,89 i 22,54 ± 1,16 ballov. Nalichie priznakov vegetativnyh izmenenij v pervoj i vtoroj gruppah sostavilo 45,9% i 63,6% (p ≤ 0,01). Srednie znacheniya ballov po oprosniku S. K. Kulakova v pervoj i vtoroj gruppah imeli dostovernye razlichiya (p ≤ 0,05) i sostavili 28,7 ± 1,88 i 37,1 ± 1,09 ballov. SHkol'niki, prevyshayushchie reglament ispol'zovaniya mobil'nyh elektronnyh ustrojstv, nahodyatsya v gruppe riska po formirovaniyu vegetativnyh narushenij i internet-zavisimosti.
Assessment of PD-L 1 expression in a tumor improves the accuracy of predicting the risk of regional breast cancer metastases
Authors: Zubareva Evgenia , Senchukova Marina , Shubin Dmitriy , Prokofiev Alexander
Published: November 2023

Background: Improving the accuracy of axillary lymph node (ALN) status assessment and the search for new markers associated with the risk of breast cancer (BC) metastasis continues to be an urgent problem. Aim: To establish the prognostic significance of the expression of PD-L1 in a tumor for assessing the risk of BC metastasis in ALNs. Materials and methods: A retrospective, case‒control cohort study included 158 patients aged 30 to 85 years with newly diagnosed BC. The material for the study was tumor samples obtained by trephine biopsy. The expression of PD-L1 in the tumor was studied on the invasive component of puncture biopsy specimens by immunohistochemistry using PD-L1 polyclonal antibodies. Statistical analysis was performed using Statistica 12.0 software. Receiver operating characteristic (ROC) curves for PD-L1 and Ki67 were constructed to discriminate cases with and without metastases in the ALNs. Univariate and multivariate analyses were performed to establish independent predictors associated with the risk of BC metastasis. A value of p < 0.05 was considered statistically significant. Results: According to the results, independent predictors of a high risk of BC regional metastasis were T2 (OR = 5.81, 95% CI = 1.75–19.35, p = 0.004) and T3-4 (OR = 43.07, 95% CI = 9.31–199.2, p < 0.0001) stages of BC, absence of an intraductal component (OR = 3.68, 95% CI = 1.32–10.33, p = 0.013), presence of lymphovascular invasion (OR = 3.32, 95% CI = 1.34–8.22, p = 0.009), luminal B HER2-positive (OR = 6.82, 95% CI = 1.13–42.26, p = 0.036) and triple negative (OR = 8.52, 95% CI = 1.12–64.89, p = 0.038) molecular biological subtypes of BC, and PD-L1 expression coefficient greater than 1.65 (OR = 6.39, 95% CI = 2.54–16.09, p = 0.0001). Based on the data obtained, an original noninvasive method for assessing a high risk of BC regional metastasis was developed, the sensitivity of which was 80.9%, the specificity - 82.6%, and the accuracy - 85.7%. The area under the curve (AUC) was 0.876 (95% CI = 0.818–0.924, р < 0.0001). Conclusion: The results of the study indicate that the assessment of PD-L1 expression in a tumor can improve the accuracy of predicting the risk of regional BC metastasis.
Application of University English Teaching Model Based on Artificial Intelligence Technology
Authors: Leng Jinying , Lin Xiaoqing
Published: November 2023

This paper is based on cloud computing technology in artificial intelligence and a clustering algorithm controlled to divide teaching resource attributes and reduce packet loss rates in the system. Data mining is used to reduce the number of iterations and improve processing efficiency, a learner model is designed, and the teaching process and assessment tasks are constructed to realize the teaching model. Two natural classes of students at the University of S. underwent an instructional experiment. The results showed that the experimental class reached about 70% of the overall students in the achievement range of 85-95 and 95-100. The college English teaching model based on artificial intelligence technology’s feasibility and effectiveness are proven by the significant improvement in performance compared to the control class.
Modelling simulation of college vocal music teaching development path based on big data analysis
Authors: Li Ya
Published: November 2023

This paper uses big data analysis to determine user similarity and calculate the bias in selecting nearest neighbors. The temporal factor is introduced to fully reflect the changing status of users’ interest degrees so that the recommendation accuracy can be significantly improved. According to the nearest neighbors’ rating of experimental teaching resources, the collected data on the effectiveness of vocal music teaching in colleges and universities are clustered, and the results are reflected using degree weights and biases for updating. It was discovered that seven samples had actual student vocal rating values above 0.5, and the overall vocal test scores could reach 86 or higher. To be more energetic in contemporary times, vocal music teaching in colleges and universities should be reformed and innovated to incorporate big data analysis technology.
Reform and Innovation of Civic and Political Education Based on Deep Enhanced Learning Methods
Authors: Cui Chen
Published: November 2023

The use of an initial state value function and an optimal strategy are used in this paper to solve educational problems based on deep reinforcement learning. Deep reinforcement learning’s approximate function is defined, and the matrix model is created by training tuning using learning methods like gradient descent. To analyze the modeling process of reinforcement learning, reward values are added to the Markov decision transfer matrix and the expected value of cumulative returns is calculated. The weights are trained using the Bellman equation to enhance the algorithm’s stability. In evaluating the effect of reform and innovation in Civic Education, the teacher education concept is rated as 10 points. The reform and innovation of civic education, combined with deep reinforcement learning, can promote the reform of education and teaching modes, improving the efficiency and quality of education.
Analysis of Civic and Political Quality of Preschool Education Curriculum Based on SWOT Analysis and Its Corresponding Strategies
Authors: Li Weiyan , Zhang Yiwei
Published: November 2023

Based on SWOT analysis, this paper combines data mining algorithms to analyze the quality of preschool education curriculum Civics and propose corresponding strategies. First, the internal and external strengths, weaknesses, opportunities, and threats to the quality of preschool education curriculum Civics and Politics are identified through SWOT analysis. Then, data mining algorithms are used to extract numerical attribute features and categorical attributes, and adaptive optimization methods are used to derive adaptive weighted edge vectors to obtain the probability density function of the quality of course ideology. Finally, the study found that the overall satisfaction of teachers and students was more than 70% based on a SWOT analysis. Corresponding countermeasures are proposed to provide an important reference for developing preschool education programs.
Design of virtual simulation practice teaching platform for ideological and political course based on Perceptron model
Authors: Tao Enqian , Jiang Hong
Published: November 2023

To improve the teaching effect of Civics courses in colleges and universities, this paper uses multi-attribute regression to compute the nonlinear representation ability, combined with the perception machine deep learning network, to get the teaching resources and interaction mechanism of Civics courses. The weighted k-shell decomposition method is used to determine the weighted undirected graph of the Civics and Political Science course, and the shortest path between nodes is used to map the link to complete the teacher’s teaching feedback and personalized teaching. The results show that the hit rate and normalized gain rate of the proposed method in the Civics course dataset in colleges and universities are as high as 0.58 and 0.39, respectively, and the performance of the Civics course in colleges and universities is excellent, which indicates that the proposed method can promote the cultivation of students’ quality of Civics and politics, and it has great significance in the field of teaching and learning.
Employment Education and Psychological Work of Students in Lower Colleges and Universities Based on the Hierarchical Analysis Method
Authors: Gong Nanhui , Yang Bosen
Published: November 2023

This paper establishes a platform interaction model in the context of Internet+ to enhance the motivation of college students to take the initiative to receive employment and entrepreneurship guidance and training. A psychological intervention model regarding hope, optimism, self-efficacy, and resilience is constructed. A new method of fuzzy number ordering determined by the limit coefficient can be obtained by defining the limit coefficient of triangular fuzzy numbers. Hierarchical analysis was used to analyze the employment choice dilemma faced by fresh university graduates and to guide them in making the correct employment choices. The results show that the total mean score of positive psychological capital is 119.99, which indicates that the level of positive psychological capital among college students is high. Employers are very satisfied with the graduates’ operational application ability, which reaches 35%.
Current Situation and Mode Innovation of Physical Education Teaching in Colleges and Universities under the Perspective of Deep Learning
Authors: Wang Hui
Published: November 2023

This paper analyzes the current situation of physical education teaching in colleges and universities from the perspective of deep learning and innovates the teaching methodology. A multidimensional data array is used to quantify students’ interests and hobbies to create a recommendation module for intelligent sports learning materials. Using the SIFT feature extraction algorithm, identify the extreme value point of the detection target and develop the sports target extraction module. Through distance transformation and morphological features, determine the skeleton image features to construct a college sports teaching model using deep learning. The results show that the model in this paper enables the coverage rate of sports courses to reach over 97.20%, with a fluctuation of no more than 1.5%. Deep learning has contributed to some innovation in college sports teaching.
Effective combination and application path of computer big data analysis and cloud computing network technology
Authors: Liu Shuye
Published: November 2023

In this paper, based on the data mining algorithm to obtain a collection of big data attributes, the information entropy detection is used to analyze the data distribution characteristics, and the clustering center is extracted. Normalize the feature data, calculate the judgment matrix in the mining process based on the condition set, and perform normalization. The redundant features are extracted from the data to be mined, and the weight vector value of each feature is obtained to obtain the processed feature subset. The results show that the importance score and security score are above 6. The combination with cloud computing network technology in computer big data analysis helps improve data processing efficiency and provides more reliable data support for social and economic development.
Application of 3D visual perception-driven design of velvet flowers in traditional dresses
Authors: Fan Li
Published: November 2023

This paper firstly analyzes the specific application of velvet flowers on women’s dresses from the perspective of fashion aesthetics and with the understanding of the background and development trend of dresses. Secondly, based on 3D visual perception, we propose the optimization of the normalization method and loss function optimization, which can improve the migration speed and generation quality of velvet flower design, and then seamlessly fit it to the dress base map by Poisson fusion to realize the intelligent design of velvet flower in dresses driven by 3D visual perception. Then, the color features and attributes of the floral in the dress are studied, and the HSV color space model is used to extract the high-frequency colors and attributes of the dress. Then, the floral design is digitized, and the dress design is driven by 3D visual perception is studied and analyzed. The results show that the loss value of the dress design style migration network trained based on AdaN is the smallest, and the loss value is reduced by 0.19 compared to the dress design style migration network using IN and 0.31 compared to BN. The velvet flower design on the dress design base map can be implemented based on the foundation provided by this study.
Reinforcement Learning Technology Applied to the Innovative Model of Informatisation of Classroom Teaching in Educational Economics
Authors: Chen Liu , Lyu Jie
Published: November 2023

This paper constructs the architecture of the online teaching platform for education economics based on the MVC pattern coupled with three-tier architecture. The optimal value function is solved through the experience playback mechanism and the strategy function of reinforcement learning, and the value function is used to realize the update of the deep Q learning parameters, which is used to realize the guided teaching of students in the platform. A test analysis was conducted to verify the effectiveness of using the online teaching platform for education economics courses. The results show that the waiting time for teaching resource requests in the 0-3s range of this paper’s platform is 29.71% and 51.56% lower than that of the B/C and Web platforms, respectively. The mean value of students’ learning attitude toward the platform was 108.558, and the highest satisfaction score was 0.7088. The online teaching platform can effectively improve students' learning attitude and promote the innovation of information technology in education economics classroom teaching.
A model of integrating college students’ consumerism education and ideological and political education by applying multivariate data fusion
Authors: Liu Pei
Published: November 2023

This paper explores the relationship between college students’ consumption views and their consumption views under Civic Education in the context of multiple datasets. Secondly, a multi-agent, multi-source heterogeneous data collection model is used to collect data on consumption view and Civic Education. A CNN model is designed to study the correlation between consumption view and Civic Education. The CNN and LSTM multi-grain data classification models are used to fuse the features of consumer outlook and Civic Education, respectively. Then, build an online learning platform for college students’ consumerism. Finally, the platform’s fusion effect and learning results for college students were analyzed and studied. The average JS index of data fusion was 93.32%, and the fusion effect was good. The total score of students’ pre and post-test consumerism scores increased from 86 to 100, and the effect of college students’ consumerism education was positive.
The Construction of English Education Resource Base for Colleges and Universities Applicable to Entropy Power-Cloud Modeling
Authors: Zhang Yunyun
Published: November 2023

In this paper, firstly, the weights of evaluation indexes are determined using the entropy weight method, and the characteristics of the cloud model are analyzed to establish the entropy weight-cloud evaluation model. Then, the general structure of the educational resource library system and the system architecture were established based on the utilization requirements, and the functional classification of the educational resource library system was realized. Finally, the entropy-weight-cloud model was used to analyze the motivation for using the resource library, the performance of the system, and the user’s satisfaction with its use. The results show that the mean value of the performance evaluation index is stable between 3.8 and 4.5, the standard deviation is between 0.789 and 0.978, and the users are consistent with a higher performance evaluation index. The mean values of resource quality range from 3.293 to 3.87, and the mean values of system support services range from 3.38 to 3.59. Users’ satisfaction with the English education resource base is high. The construction of educational resource libraries, crucial for reforming university education, is provided as a reference in this study.
Optimisation of Master’s Degree Programmes in Translation Based on Multi-Attribute Decision-Making Approach
Authors: Tang Wenqian , Chen Lidong , Xie Gengquan
Published: November 2023

In this paper, first of all, in the quality assessment of the teaching quality of the translation course, it is proposed to use a multi-attribute decision model to assess the quality of the set of alternatives for all the courses and to use the existing decision ideal points to rank and select the best of a set of optimized solutions for the translation course through the hesitant fuzzy number and objective optimization model. Finally, to explore the optimization problem of the curriculum, a research analysis was conducted on MTI master’s students who recently graduated from the institution. The results show that by optimizing the MTI course specifically, the students’ positive interest (p
1 = 0.03) and independent inquiry interest (p
2 = 0.01) are less than 0.05, showing significant differences (p<0.05). The special optimization scheme of the MTI course proposed in this paper can reflect some problems worth pondering in the curriculum and provide a guiding reference for optimizing the MTI course in schools.
Characteristics of life space remodelling in tourism-based villages during rural gentrification based on the coupled coordination degree model
Authors: Xu Yuhui , Chang An , Han Lu
Published: November 2023

This paper first takes the process of rural gentrification as the main line, selects the village of Annoyed bun in Hohhot City, Inner Mongolia Province, as the case area, conducts research on the characteristics of the remodeling of the living space of the village of the annoyed bun, and proposes the theoretical system of rural gentrification, the governance structure and the mechanism. Secondly, the research on tourism-based villages based on the coupling coordination degree model is carried out to determine the evaluation factors in the coupling index system of tourism-based villages according to the needs of tourists and then construct the evaluation index system of the coupling coordination degree model. Then, the entropy value method is used to calculate the weight of each index, and on the result of the weight of each index, the coupling coordination degree formula can be used to derive the comprehensive evaluation index and the fusion coordination degree value, and then analyze the example of the tourism-type village based on the coupling coordination degree model. The results show that on the value of the degree of integration and coordination, in the three years from 2015 to 2017, Hohhot City, Hohhot City, annoying package village ecology and tourism-type villages mainly show the role of mutual promotion, Hohhot City, towards the direction of mutual promotion between the two. This study promotes the revitalization, reconstruction and reorganization of village life, which objectively becomes a new path for constructing new rural areas and rejuvenation in China.
Exploring the development of students’ sports interests in college smart physical education based on cluster analysis
Authors: Gao Baohua
Published: November 2023

This paper firstly analyzes the smart campus, gives the six-dimensional assessment model of the smart campus, and understands that college smart sports are a new type of manifestation of smart sports in colleges and universities. Secondly, it constructs the intelligent sports education platform model of colleges and universities based on cluster analysis and utilizes the K-means algorithm to calculate the metrics and analyze the data by clustering. Finally, taking the college students majoring in physical education at University B as the research object, the students’ sports interest cluster analysis was conducted based on the cluster analysis of the student’s application of the smart sports education platform. The results show that the horizontal coordinate K=3 tends to level off, which is the recommended optimal K value, and the clustering can be completed by using the K-Means clustering method, and the average standardized scores of each clustered variable of athletic students’ sports interests are the highest, and all of them are positive, which are 0.6, 1.2, 1, 0.8, and 0.85, respectively.
Integrative Development of Modern Literary Works and Traditional Culture Combined with Semantic Association Network Modeling
Authors: Su Hong
Published: November 2023

The coupling framework of modern literary works and traditional culture is first discussed in this paper, and the intrinsic connection between them is examined. Secondly, a semantic-associated information extraction network model is constructed using LSTM and attention mechanism, and the target semantic fusion is achieved through semantic space conversion and semantic-associated information extraction. Finally, the dataset and empirical analysis confirm the SAIEDMMA model’s effectiveness. The results show that the F1 value of the SAIE-DMMA model on the Total-Text dataset and ICDAR2015 dataset is 85.59% and 87.72%, respectively. The traditional culture of folk culture has the highest degree of integration in modern literature, and the growth of its literature from 2017 to 2021 is 1,273 books. This shows that the semantic correlation information extraction network can analyze the semantics of the integration of modern literary works and traditional culture, and it can also be used to promote the effective inheritance and development of traditional culture so that modern literary works are closer to public life.
Based on big data analysis of the current situation of music teaching in China’s colleges and universities and the innovative development of exploration
Authors: Wang Zhouxiu
Published: November 2023

This paper develops a cluster analysis model based on big data analytics, which first utilizes ETL tools to extract, clean, and standardize music teaching data from massive data. Then, the preprocessed music teaching data was analyzed using a big data technology platform. Finally, the clustering algorithm has been improved, and the K-means algorithm based on density optimization is designed to cluster the music teaching data. Using this model to analyze the learning behavior of college music classroom yields that the quantitative values of test activities and classroom performance in Classification 1 are only 11 and 14, the quantitative value of classroom performance in Classification 2 is only 9, and the quantitative value of homework group task in Classification 3 is only 9. The analysis shows that the quality of music teachers in colleges and universities is not uniform. The current state of music teaching in colleges and universities is poor, and it is imperative to create and improve music education.
Brand Communication Strategy and Influence Enhancement of Higher Vocational Education Based on Information Communication Models
Authors: Li Donghai
Published: November 2023

This paper firstly researches the brand communication strategy and influence enhancement of higher vocational education, according to the strategic layout of vocational education, the SWOT analysis of online brand communication of offline vocational education institutions and online vocational education institutions, and then puts forward the strategy of enhancing the influence of brand communication of higher vocational education. Secondly, based on the multi-information interaction communication mechanism, research on the influence of vocational education brand communication based on the information dissemination model is proposed for the brand communication dilemma of vocational education in the new media environment. Then, considering the influence mechanism inference, a single intelligent body model needs to be extended to the whole multi-vocational education information interaction communication model to make the vocational education information interaction communication more stable, and research and analysis of vocational education brand communication strategy and influence enhancement based on the information communication model. The results show that targeted vocational education information will occupy more storage space, the vector sum will be more, and the trend and evolution state of vocational education information dissemination can be effectively controlled by controlling the vector sum. This study enhances the impact of brand communication on higher vocational education.
Interconnection between language, environment and identity in the poems of the Csángó Demeter Lakatos and the Kven Alf Nilsen-Børsskog
Authors: Molnár-Bodrogi Enikő
Published: November 2023

The purpose of this study is to make a comparative analysis of the interconnections between language, environment and identity from an ecolinguistic point of view. It is meant to analyse the attachment of two Finno-Ugric poets, Demeter Lakatos and Alf Nilsen-Børsskog to their own cultural and natural environment.

Demeter Lakatos was a Csángó folk poet, who consciously adopted the local, popular dialect to express his loyalty to his ancestry, to his roots that lay in the Moldavian Csángó identity. Alf Nilsen-Børsskog was the first writer and poet who wrote in Kven. His literary work has been of great significance in the context of the cultural emancipation of his ethnic minority and the revitalization of their language.

The main things that keep together a minority community – especially an endangered community – are basically language, faith, and certain characteristics of their own local natural surroundings (including the place where – for one reason or another – they had to flee from). This can be practically anything: a mountain, a river, even a tree. And whatever it is, it has a special, almost sacred place in the hearts of the members of the community.

I have chosen these two poets because their poetry has not been much analysed and also because both belong to Finno-Ugric minorities whose languages are highly endangered, and this fact marks their attitude towards their environment.

This study follows a qualitative approach through discourse analysis, and the source of data are the volumes of poems written by Demeter Lakatos and Alf Nilsen- Børsskog.
Popular historical films as collective memory-work in Eastern Europe: from Polish KATYN to Romanian AFERIM! and Hungarian BET ON REVENGE
Authors: Virginás Andrea
Published: November 2023

Historical film – a film genre supported in the Cold War era – has re-emerged in the 21st century in Eastern European cinemas, its success signalled by popularity, dedicated state financing funds or political support. This article frames the phenomenon within the Assmannian model of three communicative generations, suggested to be interlinked on the level of both the creative staff and the audience of Eastern European historical films. Based on box-office data of the Lumiere Database of the European Audiovisual Observatory, and research referring to further elements of canonization, it is argued that titles such as Polish Katyn (2007), Romanian Aferim! (2015) or Hungarian Bet on Revenge (2016) – the first majority production historical films to achieve significant audience, and, consequently, critical success in their domestic markets in the 21st century – signal a successful collective memory-work process. While in the major Polish market this may be inscribed within the three communicative generations of the victims, the forgetters and the mourners doing memory-work – possibly processing collective traumatization too –, the two small national examples fall outside the validity of the Assmannian model. In order to somewhat refine this apparent opposition between 21st century Eastern European major and small national collective memory-work through historical films, further examples from the Polish, Hungarian and Romanian top lists are examined. Poetic-medial features – the actualization of “trauma narratives” (Alexander 2012) or of postmodern irony, the employment of cinematic and/or televisual visuality – seem to facilitate collective memory-work differently for major and small national domestic audiences, activating or not their belonging to the three communicative generations with respect to the historical events represented in the films.
Favoured subjects. The myth of the Middle Class and the imaginary of Cluj IT
Authors: Gondos Emőke
Published: November 2023

Romanian IT professionals are marketized as young, highly skilled, and full of potential individuals. However, there is a contradiction in their image. In the discourse of international outsourcing, they are presented as cheap labour, while on the national and local level they are considered high earners. Under the privilege of income tax exemption, the IT sector is continuously growing and attracting labour, providing well-paying entry-level jobs and bringing in foreign capital. At the same time, on a symbolic level, it also developed a reputation as a facilitator of social ascension and of importer of European ideas. In this paper I aim to examine what drives people towards professional reorientation to IT. How is the idea of the middle class being used? What is the imaginary that makes people take on the risky and arduous road of re-professionalization and what are its consequences?
Comparative Analysis of Evidence Law Within the Civil Process Comparative-Legal Research
Authors: Barnabishvili Sophio
Published: November 2023

The article discusses the types of evidence used in the civil law process. Comparative-legal research includes a list of types of evidence used in the civil law process in different countries of the world, their description, and legal significance based on local law. The Code of Civil Procedure is a legal means of protecting the civil rights and freedom of a person. Proceedings are conducted in compliance with the principles of disposition and competition, which allows disputing parties, under equal conditions, to determine the essence of the dispute on their initiative and to present relevant different types of evidence to determine the truth in the case. In general, asserting one’s position, truth, or justice and obtaining, collecting and presenting relevant evidence for the purpose is related to the legal awareness, good faith and sound logic developed by the party (its representative or third parties). In the process of development of a democratic state, much attention is paid to the pursuit of perfection of individual disciplines of private law, which mainly includes the objective protection of human rights and legal interests. In this process, it is of the utmost importance that the relevant norms of the law allow the interested person to present appropriate evidence to confirm the violation of the right and request the restoration of the violated rights in the justice implementing Agency. The Code of Civil Procedure is a legal means of protecting the civil rights and freedom of a person. Proceedings are conducted in compliance with the principles of disposition and competition, which allows disputing parties, under equal conditions, to determine the essence of the dispute on their initiative and to present relevant different types of evidence to determine the truth in the case.
IMPATIENS DARACHUENSIS (BALSAMINACEAE), A NEW SPECIES FROM BHUTAN HIMALAYA
Authors: Gyeltshen Phub , Adamowski Wojciech , Phuntsho Tashi , Thinley Kinga
Published: November 2023

Impatiens darachuensis, a new species from Sarpang district in southern Bhutan, is described and illustrated. Detailed photographs of plants and dissected flowers are provided, as is information on phenology, distribution, habitat and ecology. The new species is assessed as Endangered using IUCN categories and criteria.
A NEW SPECIES OF BEGONIA (BEGONIACEAE) FROM INDONESIA AND TIMOR-LESTE
Authors: Thomas Daniel , Ardi Wisnu , Santana Fernando , Pinto Pedro , Loke Frances Wei , Martins Natalino Babo , Conaboy Nathan
Published: November 2023

A new rhizomatous, lithophytic species of Begonia (Begoniaceae – Begonia sect. Jackia) is described from material collected from limestone areas in the Indonesian and Timor-Leste parts of the island of Timor, Lesser Sunda Isles. Photographs, a provisional conservation status assessment of the new species, and an identification key to species of Begonia sect. Jackia in the Lesser Sunda Isles are provided.