bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development Path of Tea Culture and Aesthetic Education Integration in Higher Vocational Colleges and Universities Based on Collaborative Filtering Algorithm
Authors: Xiang Song 
Published: February 2024

Abstract
Tea culture is an excellent traditional culture in China, and its integration into higher vocational aesthetic education can promote the overall development of students. This paper takes the higher vocational colleges and universities in H city as an example, constructs the correlation index of the integration and development of tea culture and aesthetic education, and explores the key factors of the integration and development of tea culture and aesthetic education by combining the gray correlation method. At the same time, the students’ portraits are constructed, the constructed user portraits are clustered using the K-mean algorithm, combined with the improved collaborative filtering algorithm, and the resources related to tea culture and aesthetic education in higher vocational colleges and universities are accurately recommended. The improved model is also applied to the city to analyze the resource recommendation effect of tea culture and aesthetic education and explore the development path of integration of tea culture and aesthetic education in higher vocational colleges. The results show that the gray correlation between the integration of tea culture and aesthetic education in higher vocational colleges and universities, and the educational foundation, educational level, student ability, and educational needs are within (0.642, 0.808). The similarity between the users recommending aesthetic education resources is above 0.7, the similarity between the users recommending tea culture and aesthetic education resources and the users recommending tea culture resources is above 0.8, and the content recommended by each user achieves the desired effect (100%). The effective promotion of tea culture and aesthetic education in higher vocational colleges and universities is achieved through the accurate recommendation of relevant resources for students’ needs.
Research on Visual Design of AI Painting Based on SolidWorks Technology
Authors: Yan Jun , Fan Hanwen , Yang Yanhua , Miao Feng 
Published: February 2024

Abstract
AI technology has become a new creative tool, which brings infinite possibilities for painting creation. In this paper, we first parameterize the design of the painting through SolidWorks software and construct a semantic text with the design parameters obtained. Secondly, the text is inputted into the text-image similarity model based on a graph convolutional network, and the Stanford CoreNLP tool is used to perform dependency parsing on the input text and feature extraction on the textual semantic and spatial relation maps through two GCN networks. Finally, the visual parameters and visual comfort of the AI drawing samples are examined. The results show that the maximum difference between the cumulative scores comparing the reference image and the AI output image is 0.41, and this value is less than 1, which indicates that the AI drawing achieves the visual effect of quantifying the image quality. The efficiency and quality of drawing output can be improved through this study, which has both theoretical and practical significance.
Construction of Piano Performing Arts Talent Cultivation and Creative Thinking Based on the Constant Differential Error Approximation Method
Authors: Yang Xiao , Lu Yanyan 
Published: February 2024

Abstract
Piano talent cultivation mostly focuses on repetitive training only, and lacks a clear cultivation program for theoretical knowledge and skill points. In this paper, we adopt the curriculum knowledge graph to extract the knowledge point subgraph of piano learning and provide an initialized knowledge graph structure for the learning path under the cultivation scheme. A multi-objective optimization model of the path containing constraints such as the difficulty and mastery of knowledge points is set, and the relevant parameters of the model are defined and calculated to establish a multi-optimization objective function. A solution method that uses constant differential error approximation is proposed as a means of approaching the Pareto optimal solution. To develop the LSPIA algorithm with reciprocal weights, the adjustment vectors are modified using a least squares asymptotic iterative approximation with minimum squares values. Following the discovery of the most suitable route, a teaching experiment was carried out. The results show that the posttest P-value of the total creative thinking score of the experimental and control classes is 0.022 less than 0.05, which indicates that there is a significant difference between the creative thinking of the students in the two classes in terms of affective characteristics. The experimental group achieved a mean score of 122.69 on the post-test, which was a significant improvement from the mean score on the pre-test. An innovative approach to cultivating piano playing talents involves optimizing learning paths.
Research and Practice of Personalized Teaching System of Local Comprehensive University Based on Artificial Intelligence Technology
Authors: Li Shanshan , Wang Hui , Wang Liqiao 
Published: February 2024

Abstract
Driven by the concept of wisdom education and the development needs of the times, personalized teaching has become a new requirement for the quality of talent cultivation under the national innovation-driven development strategy, and it is the inevitable trend of the current education and teaching reform. This paper builds a personalized teaching system in the era of smart education, based on the characteristics of local comprehensive universities. Face recognition technology is used to analyze the learning behavior of students in the smart campus, combined with virtualization technology and bilateral resources to integrate the teaching service model to realize the distribution of teaching service demand, and the classroom behavior is analyzed by deep intelligence through natural language processing technology. The proposed personalized teaching system is being implemented at Henan University of Science and Technology for specific practical analysis. The practical results show that the occupancy rate of students’ behavior in class 2 with the personalized teaching system is 0.3525 higher than that in class 1 with the traditional teaching system, and the occupancy rate of teachers’ behavior is 0.5422, with a higher conversion rate of teachers’ and students’ behavior. It shows that the new personalized teaching system is student-oriented and can effectively cultivate the quality of students is of great significance for the educational and teaching reform of the same type of colleges and universities.
A Study of Digital Communication Paths in Contemporary Politics and Marxist Thought
Authors: Li Yulan 
Published: February 2024

Abstract
In the context of digital technological change and media convergence, how to quantitatively analyze the digital communication path of contemporary politics and Marxist thought has become a new problem to be solved. The objective of this paper is to create a model for analyzing the digital communication path of political information and Marxist thought. The degree correlation in the social network algorithm is used to analyze the correlation between the information nodes of contemporary politics and Marxist thought, and the clustering coefficients are used to predict the behavior and evolution of the nodes in the dissemination network. The dissemination model of contemporary politics and Marxist ideology can be explored by combining the infectious disease information dissemination model on the network platform. After the construction has been completed, the model is employed to evaluate the relevant information of a network platform. The early stages of the spread of political and Marxist-related information resulted in 180,000 crowd contacts becoming information exposers and quickly reaching the peak point. The peak point of 119,800 people is quickly reached when both intentional and unintentional communicators of political messages increase. Node density reaches 0.94 and then declines roughly 24 hours after the political message is released. The model employed in this paper is capable of effectively analyzing the digital dissemination path of politics and Marxist ideology and providing a reference for exploring the digital dissemination of political information.
Application of Independent Learning Mode for College Students Based on Online-Offline Integration in the Internet Era
Authors: Lu Yanping 
Published: February 2024

Abstract
In this paper, in the process of building an online-offline integrated independent learning model, we propose to better adapt suitable learning resources for learners using knowledge clustering. Based on the characteristics of CURE clustering algorithm, which has strong generalization ability but high complexity, the optimized ACURE algorithm is designed by making improvements in two stages: preprocessing and class merging. Secondly, to test the performance of the optimized ACURE algorithm, decentralized representative points are used to represent the clustering of the ACURE algorithm. Next, a questionnaire survey was conducted among college students and teachers using random and stratified sampling to analyze their perceptions of this merged autonomous teaching model. Finally, the combined autonomous teaching model was applied to actual teaching and its effectiveness was analyzed through teaching control. The results show that the ACURE algorithm presents perfect clustering from the contraction factor 0.3. The overall percentage of teachers’ cognition exceeds 75%, and the overall percentage of students’ cognition exceeds 50%. In the second stage test result of practical application, the experimental class is higher than the control class up to 3.87, and the effect of the integrated autonomous teaching model is distinct.
Numerical method for calculating heat and mass transfer of two-phase fluid in fractured-porous reservoir
Authors: Бобренева Ю.О. , Повещенко Ю.А. , Подрыга В.О. , Поляков С.В. , Узянбаев Р.М. , Коледина К.Ф. , Рагимли П.И. 
Published: February 2024

Предложен подход к численному моделированию неизотермической задачи фильтрации в трещиновато-пористой среде, основанный на методе расщепления по физическим процессам. В задаче учитывается наличие двухфазной жидкости и двойной пористости у коллектора. Применение метода расщепления по физическим процессам позволяет упростить алгоритм решения, при этом сохранив эквивалентность к консервативной разностной аппроксимации исходных уравнений и обеспечив устойчивость решения задачи. При численном решении используются аппроксимации дифференциальных операторов, полученные в рамках метода конечных разностей. Реализация численного алгоритма основывается на методе матричной прогонки. Апробация метода и его верификация выполнена в серии вычислительных экспериментов, исходные данные для которых взяты из исследований промысловых скважин на российских нефтяных месторождениях.
The work proposes an approach to numerical modeling based on splitting by physical processes for a non-isothermal problem of filtration in a fractured-porous medium. The task is complicated by the presence of a two-phase fluid and dual porosity of the reservoir. The system of equations defining the model is complex and is described by a system of strongly non-linear partial differential equations. The use of the splitting method according to physical processes makes it possible to simplify the solution algorithm while maintaining the equivalence to the conservative difference approximation of the original equations and ensuring the stability of the problem solution. In the numerical solution, the approximations of differential operators obtained in the framework of the finite difference method are used. The implementation of the numerical algorithm is based on the matrix sweep method. To test the method, a series of computational experiments were carried out. Calculations have shown that the developed methodology is correct and allows one to simulate the dynamic operating conditions of wells.
Роль загальноклінічних показників крові для прогнозування перебігу коронавірусної інфекції у хворих на COVID-19: систематичний огляд
Authors: Yushchuk A. Anna , Korzhyk O. Olha , Pykaliuk V. Vasyl 
Published: February 2024

Abstract. The course of coronavirus infection in patients with COVID-19 can cause systemic inflammation of the organism, and dysregulation of the immune system and the hemostasis system. Given the possibility of severe and recurrent cases of SARS-CoV-2 infection, it is imperative for clinicians to find reliable, cost-effective, and at the same time accessible blood-specific parameters that can serve as stratification markers for patients with confirmed COVID-19. The purpose of our review article is to highlight the modern research results on the characteristics of general clinical hematological parameters (complete blood count) in patients with COVID-19 and their use for predicting the course of the coronavirus infection. We used bibliosemantic, analytical, and logical methods when writing a systematic review, as well as a generalization method. We searched and selected scientific publications by keywords in bibliographic databases, analyzed and summarized the results. The indicators of the general blood analysis (an absolute count of neutrophils, lymphocytes, platelets, and monocytes) allow calculating several newly introduced indices of inflammation, such as NLR, dNLR, PLR, MLR, NLPR, AISI, SIRI, SII. The use of such indices at the stage of hospitalization in patients with confirmed COVID-19 can be used to predict the course of the disease and the probability of a critical condition or lethal outcome.
On the Function of Function
Authors: Kopp David 
Published: February 2024

The concept of harmonic function, far from carrying a
unitary and universally understood meaning, has signified many
different things to theorists past and present. This essay
examines some of the different meanings commonly associated with
the term today, as well as aspects of the harmonic theories of
Rameau, Weber, and Riemann, all regularly associated with the
concept. Notions of chord identity, scale degree, and logical
determinacy are considered.
On Getting Deconstructed
Authors: Dubiel Joseph 
Published: February 2024

Ideas held by some of a special tension between
the “new musicology” and music theory may depend on the
maintenance—on both “sides”—of an ill-considered notion
of structure. Rose Rosengard Subotnik’s discussion of
“structural listening” is taken as a starting point for
rumination on this problem. The terms of the alleged
opposition are not shown to be essential.
More on Handel and the Hemiola
Authors: Willner Channan 
Published: February 2024

To the three categories of hemiolas I identified in an
earlier study I add a fourth, overlapping hemiolas. Particularly in
the Baroque repertoire, and especially in the works of Handel, there
are frequent instances of two successive two-bar hemiolas that overlap
because they are collapsed onto three bars. I examine the larger
context in which their preparation, elaboration, and peroration may
represent central compositional issues, especially in light of the brevity
of most Baroque compositions.
Commentary on Channan Willner
Authors: Schulenberg David L. 
Published: February 2024

Channan Willner’s article discusses hemiola from the vantage
point of an omniscient analyst armed with a score. This commentary
asks several questions about such an approach when applied to
relatively unfamiliar music, raising the possibility of incorporating
consideration of the listener’s (or analyst’s) state of knowledge
(including knowledge of related works and of historical performance
practice) into the analysis.
Response to Professor Morse's Open Letter (MTO 3.3)
Authors: Killam Rosemary 
Published: February 2024

Professor Morse’s “Open Letter” in the last issue of
MTO (3.3, May 1997) exhibits much thought and deserves careful
reading, although Killam disagrees with many of Morse’s
conclusions. The terms “sex” and “gender” are conflated by
Morse, but Killam’s original article oversimplifies and ignores
the complex implications of these terms for music and its
analysis. Killam’s “Response” questions possible intermingling
of theorists’ analytical methodology uncertainties, with
theorists’ anxieties toward music written by women and toward new
music in general.
A Different Response to Killam (MTO 3.2, 3.3)
Authors: London Justin 
Published: February 2024

A response to Rosemary Killam’s essay which appeared
in MTO 3.2. Prof. Killam’s observations regarding the paucity
of pieces by women composers in current texts and anthologies of
20th-century music are contextualized by a consideration of other
kinds of music that are currently excluded from the modernist
canon that lies at the heart 20th-century theory pedagogy. It is
argued that the exclusion of women’s compositions is more a
symptom of a modernist myopia than any covert or overt misogyny
on the part of the music theory community. The response
concludes with some suggestions for alternative approaches to
20th-century analysis course syllabi and content.
Report from the Third Triennial ESCOM Conference in Uppsala, Sweden, 7-12 June, 1997
Authors: Broman Per F. 
Published: February 2024

The Department of Psychology at the University of
Uppsala, Sweden, hosted the Third Triennial conference of the
European Society for the Cognitive Sciences of Music (ESCOM),
7–12 June, 1997. Several papers of particular interest to the
music theory community were presented, including those by Eytan
Agmon, John Clough and Nora Engebretsen, Jay Rahn, Bengt Edlund,
Fred Lerdahl, and Jean-Jacques Nattiez.
Construction and Validation of Zoomorphic Naming Ability Test in Zoology
Authors: Shanmugasundaram R. , Manickavasagan T. 
Published: February 2024

Zoology is the branch of biology concerned with the study animals and animal kingdom. It is also known as animal biology. The study zoology includes the interaction of animal kingdom in their ecosystems such as classification, habits, structure, embryology, distribution, evolution, and extinct species. Zoology is the division of biology that deals with the animals kingdom. It is the scientific study related to construct and validate the tool to measure the higher secondary science stream students in Zoomorphic naming ability it means that the science of naming, describing and classify organism and includes all animals and microorganism of the world. Therefore, this work is an attempt to construct and validate a tool for assessing the zoomorphic naming ability of higher secondary students who are studying in science stream. For this purpose, a collection of 50 zoomorphic naming ability questions from the content of zoology book materials prescribed for higher secondary students. These gathered 50 questions were undergone pilot study with 100 higher secondary science stream students in Cuddalore District, Tamilnadu State in India and on the basis of index of difficulty and index of discrimination values 40 questions have been chosen. The reliability and validity have also been found for this test tool. Hence, a complete and fully fledged Zoomorphic Naming Ability Test has been constructed and validated through this study and it will be an enough tool to measure the Zoomorphic Naming Ability of the higher secondary science stream students.
Outlining a ‘Semantic Anthropology of Data Science’
Authors: Occa Edoardo 
Published: February 2024

Abstract
This work intends to describe the humanitarian response to the cholera epidemic carried out by the international health non-governmental organisation Doctors with Africa CUAMM in the provinces of Zambezia, Sofala and Tete in Mozambique. The knowledge and practices of applied medical anthropology have proved to be fundamental in the management of prevention and monitoring activities in homes where cases of cholera have been identified and confirmed. The collection and management of data relating to the epidemiological curve has represented a challenge in the field and pose considerable theoretical problems with respect to the representation, public discourse and policies of local government and large international donors in response to health emergencies caused by the ecological crisis-climate, especially in Africa and Mozambique.
EFFICIENCY USE OF RESOURCES AND PROFITABILITY OF “UGU” (FLUTED PUMPKIN) (Telfairia occidentalis Hook F.) PRODUCTION AMONG SMALL-SCALE FARMERS IN SOUTHEAST, NIGERIA
Authors: UTOBO O. , EZEANO C.I. , NWANKWO F.O. , ONUGU C.U. , OFFIA E.O. , NZEOCHA C.C. 
Published: February 2024

This study examined efficiency use of resources and profitability of fluted pumpkin production among small-scale farmers in Southeast, Nigeria using 400 farmers selected through multistage and purposive sampling techniques. Data collection was done with structured questionnaire and analyzed using descriptive and inferential statistics. Results showed that 80% of fluted pumpkin farmers were females while 20% of them were males and aged 38years that operated on the average of 0.7ha which earned them average annual income of N 98,000.00 from fluted pumpkin sales. Results also revealed that the farmers had formal education with 12years average farming experiences and average household size of 7 persons. R2 was 0.794 meaning that 79% of the variations in output of fluted pumpkin in the study area were accounted for, by the independent variables included in the model. The F-value of 19.774 was significant at 1%. Results further showed that farm size (0.517), cost of manure (0.331), farming experience (0.327), and capital input (0.221) were significant and positively related to output of “ugu”. However, age (-0.022) and household size (-0.039) were inversely related to output of “ugu” in the area. The most technical efficient factor inputs were farm size (88.539) and labour (3.166), while fluted pumpkin seed (0.273) and capital input (0.377) were technically inefficient considering their values. The inputs of farm size (3.924) and capital input (24.900) were underutilized, while labour (0.169), cost of fluted pumpkin seed (0.004), cost of manure (0.002) and agro-chemicals (-0.001) were over-utilized. The result of profitability analysis showed that the cost-return-ratio was 1:1.44, meaning that every N1 invested would generate a profit of N0.44k. It would be concluded that small-scale “ugu” producers in Southeast, were not utilizing productive resources efficiently, though cultivation of “ugu” in the area is s viable venture. There is the need for regular training of the farmers in resource utilization and management for optimum productivity.