bluuebunny/crossref_metadata_2025 huggingface dataset:
PERSEPSI PETANI TERHADAP UPAYA KHUSUS PAJALE PADA USAHATANI PADI SAWAH DESA TORIBULU KECAMATAN TORIBULU KABUPATEN PARIGI MOUTONG
Authors: Silvana Teresia , Tangkesalu Dance , Hadayani Hadayani
Published: August 2023

Penelitian ini bertujuan menganalisis hubungan antara persepsi petani terhadap upaya khusus pajale pada usahatani padi sawah. Penelitian ini dilaksanakan di Desa Toribulu, Kecamatan Toribulu, Kabupaten Parigi Moutong, dengan pertimbangan bahwa Desa Toribulu merupakan desa dengan hasil produmsi padi sawah tertinggi, Pemilihan Lokasi dipilih secara sengaja (purposive) waktu penelitian pada bulan September-november 2019, jumlah sampel sebanyak 32 responden dengan menggunakan metode penentuan sampel acak sederhana (simple random sampling method). Analisis data uji korelasi rank spearman Nilai statistiknya disebut rho, merupakan metode korelasi berjenjang atau koreasi berpangkat disimbolkan dengan rs atau r, r hasil analisis data menggunakan uji korelasi rank spearman nilai korelasi atau nilai r bernilai positif maka hubungan kedua variabel dikatakan searah yaitu 0,890** artinya terdapat hubungan yang sangat kuat dengan nilai signifikansi atau sig (2-tailed) sebesar 0,000 karena nilai sig (2-tailed) 0,000 < lebih kecil dari 0,01 maka artinya terdapat hubungan yang signifikan (berarti) antara variabel persepsi petani terhadap upaya khusus secara keseluruhan dengan produksi usahatani padi sawah di Desa Toribulu Kecamatan Toribulu Kabupaten Parigi Moutong.
ANALISIS PERBANDINGAN PENDAPATAN OLAHAN COKELAT PADA INDUSTRI BANUA COKELAT DI MASA PANDEMI COVID-19 DAN DI ERA NEW NORMAL
Authors: Sari Puspita , Abd. Rauf Rustam , Hatmi Wira
Published: August 2023

Banua Cokelat adalah salah satu industri yang terkena dampak pandemi covid-19. Penerapan PSBB selama pandemi mengakibatkan berkurangnya aktivitas masyarakat di luar sebagai pelaku konsumen, yang kemudian berdampak pada pendapatan Banua Cokelat. Penelitian ini bertujuan untuk mengetahui perbandingan pendapatan olahan cokelat pada industri Banua Cokelat di Masa Pandemi Covid-19 dan di Era New Normal. Penelitian ini dilaksanakan di Industri Banua Cokelat yang bertempat di jalan Otista No 70 Kota Palu. Penelitian ini dilakukan selama 2 bulan. Penentuan responden dan lokasi penelitian dilakukan secara sengaja (Purposive). Responden berjumlah tiga orang. Analisis yang digunakan yaitu analisis pendapatan. Hasil analisis menunjukkan bahwa pendapatan yang diperoleh industri Banua Cokelat di masa pandemi covid-19 lebih rendah dibandingkan dengan di era new normal. Total pendapatan yang diperoleh di masa pandemi covid-19 pada bulan Januari-Maret tahun 2021 yaitu sebesar Rp.25.181.774 dan total pendapatan di era new normal pada bulan Januari-Maret tahun 2022 yaitu sebesar Rp.30.794.874.
Reliability and Validity of Turkish Version of Pediatric Quality of Life Inventory TM 3.0 Eosinophilic Esophagitis Module for Teens and Their Parents
Authors: Bakirtas Arzu , Yapar Dilek , Karagol Hacer Ertoy , Terece Sinem Polat , Duztas Demet Teker , Gurkan Odul , Sari Sinan , İlhan Mustafa Necmi , Dalgic Buket
Published: August 2023

Background While the Pediatric Quality of Life Inventory™
(PedsQL™) 3.0 eosinophilic esophagitis (EoE) Module is widely used for
EoE assessment, no comprehensive transcultural adaptation has been
completed, except for one linguistic validation study in Spanish. To
assess the transcultural adaptation of the Turkish version of PedsQL™
(Tr-PedsQL™) 3.0 EoE Module for teens and parent reports through
validity and reliability tests, marking a first in the field.
Methods Teens with EoE and their parents were included in the
study. Linguistic validation, content validity (CnV) and field test for
construct validity (CsV) and reliability were completed in the
adaptation of the Tr-PedsQL™ 3.0 EoE Module. Convergent and divergent
validity (CgV and DgV) were examined for CsV by correlation analysis
between Turkish version of Pediatric EoE Symptom Scores® (Tr-PEESS) v2.0
and Tr-PedsQL 3.0 EoE Module scores. Reliability
was determined through internal consistency (Cronbach-α) and test-retest
reliability (intraclass correlation coefficients: ICC). Results
Thirty-three teens and their parents completed the study. CnV indexes
were > 0.8 for all items. Good correlations between
Tr-PEESS v2.0 and Tr-PedsQL 3.0 EoE Module Total,
Symptoms I, II and Total scores substantiated CgV, while low or absent
correlations in certain dimensions evidenced DgV. Tr-PedsQL
3.0 EoE Module showed good internal consistency
(Cronbach-α: 0.61-0.90) and good to excellent test-retest reliability
(ICC: 0.713-0.935). Conclusions This study is the first to
adapt the PedsQL™ 3.0 EoE Module for another language with its validity
and reliability in assessing the health-related quality of life among
Turkish-speaking teens with EoE and their parents.
Discussion of: Technology, Ethics, and the Pandemic: Responses from Key Accounting Actors
Authors: Schmidt Regan N.
Published: August 2023

Boulianne, Lecompte, and Fortin (2023) investigate how audit firms, auditing regulators, and the accounting profession publicly acknowledge ethics in technology before and during the early stages of the pandemic. In this discussion, I situate the paper in a broader context and then evaluate elements of the investigation to better understand its contribution. Areas of future research are suggested to further our understanding of the intersection of accounting, ethics, technology, and the pandemic.
It’s Not a Secret Anymore! People's Republic of China Company and Audit Firm Collide
Authors: Rankin Kathleen A. , El Mahdy Dina F. , Rau Stephen E.
Published: August 2023

This case is fictitious but draws upon facts from actual occurrences. It requires students to apply auditing concepts and professional standards in an international setting. An affiliate of a U.S. accounting firm, Loxon Shanghai CPA Ltd., has received a request from the SEC for the audit workpapers of one of their Chinese clients, Great Lead Software. If Loxon complies with the SEC, it may violate Chinese State Secrecy Laws. After revelations of fraud by Great Lead Software surface, Loxon’s decision regarding the workpapers becomes more perilous. The case provides an opportunity for students to achieve multiple learning objectives, including identify audit deficiencies in a globalized setting, identify auditor’s responsibility in the United States versus China, describe the benefits of International Standards on Auditing, describe how culture may affect financial reporting systems including transparency and regulatory issues, and identify potential conflicts between U.S. regulatory requirements and the Chinese state secrets laws.
Engaging Students in the Standard Setting Process
Authors: Botosan Christine A. , Hill Mary S. , Taylor Gary K.
Published: August 2023

Being a continuous learner often is viewed as a key attribute of successful accounting professionals. This paper describes a project that engages master level financial accounting students directly in the standard-setting process by having students research, write and submit a class comment letter on a current Exposure Draft to the Financial Accounting Standards Board (FASB). This project integrates multiple competencies through experiential learning. The project is designed to provide students with first-hand experience engaging in the standard setting process, introduce students to some of the challenges with staying abreast of current developments, and help students develop tools and skills they can use throughout their careers to learn about emerging accounting issues and critically analyze alternative solutions.

JEL Classifications: M41.
Machine Learning Activity-Based Costing: Can Activity-Based Costing’s First-Stage Allocation Be Replaced with a Neural Network?
Authors: Knox Brian D.
Published: August 2023

Using a design science approach, I test whether machine learning can replace the first-stage allocation of activity-based costing (ABC). I call this combination machine learning activity-based costing (MLABC). I conduct three numerical experiments using simulated datasets and find evidence that MLABC can produce relatively accurate overhead allocations like ABC if (1) the data include longitudinal correlations between cost drivers and cost resources, (2) correlations between cost drivers and cost resources include interactions, and (3) avoiding ABC’s cost study does not leave the firm ignorant of a cost driver that accounts for a substantial amount of variance between cost drivers and cost resources. I find limited evidence that MLABC can facilitate active experimentation with the firm’s cost function to learn more about it. I also conduct two supplemental mini-cases with data from practice. These mini-cases help test assumptions from my numerical experiments.

Data Availability: Some data are protected by a nondisclosure agreement.

JEL Classifications: M40; M41; M49; C45; C63.
Martin’s Lounge: From Valuation Engagement to Fraud Examination
Authors: Young Randall F. , Conn Carolyn T. , Brewster Billy E.
Published: August 2023

This case utilizes a fictional bar to engage students in using accounting information to detect and monitor for asset misappropriation by employees. Students are given background information about Martin’s Lounge and a task of identifying asset misappropriation and estimating losses due to asset misappropriation. All information necessary to solve the case is provided in the case narrative and the six Excel files supplied with the case. Students can use generalized audit software (e.g., IDEA), Microsoft Excel, or data analytic/visualization software to solve the case. The case challenges students to consider how accounting data can be used to detect instances of asset misappropriation and the possible perpetrator of a fraud. The case can be assigned as an individual assignment or a small group assignment.
Free Cash Flow Disclosure in Earnings Announcements
Authors: Adame Katharine W. , Koski Jennifer L. , Lem Katie W. , McVay Sarah E.
Published: August 2023

More companies are disclosing free cash flow in their earnings announcements. Companies choose a range of definitions, almost none of which correspond to the theoretical finance definition. The most common definition (in 40 percent of free cash flow disclosures) is operating cash flow minus gross capital expenditures. From discussions with managers, this definition is chosen largely to keep things simple, especially given the lack of time to explain subtle complexities to investors. There is evidence of both opportunistic and information motives in the choice to disclose. Information variables, such as capital intensity and low-quality earnings, explain at least as much of the disclosure decision as opportunism variables in all estimations. Opportunism is relatively more evident within initial disclosures, which are more likely when earnings decline and free cash flow is positive or increasing.
The Effects of Industry Specialist Engagement Signing Auditors and Review Signing Auditors on Audit Fees and Audit Quality: Evidence from China
Authors: Song Zilong , Yu Yumiao , Zhan Jun
Published: August 2023

This study examines whether and how individual-level auditor industry expertise affects audit pricing and audit quality. Using 11,650 firm-year observations from China, where an audit report must be signed by two auditors, we examine the industry expertise of both signing auditors and find that expert signing auditors charge higher audit fees and provide higher quality audits. We also explore the role of fee premiums on the expertise-quality association and find that the positive expertise-quality association is moderated by fee premiums charged by specialist auditors. Finally, we find that engagement auditor expertise, either alone or in conjunction with review auditor expertise, is positively associated with audit fees and audit quality.

Data Availability: Data used in this study are publicly available from the sources described herein.

JEL Classifications: M4; M42.
Airlines Operating Cost and Revenue: The Case of the Cameroon National Airline
Authors: Tche Jacob
Published: August 2023

This paper attempts to provide a unique opportunity to calculate Cameroon domestic air transport operating cost and revenue. I explicitly introduce in my cost function the route distance of the domestic network in which carriers provide their services. Due to the declined in the domestic air transport routes in Cameroon, I proposed a hub-and-spoke network which influenced the operating revenue. My results, therefore, indicated that only two out of eleven routes are profitable. Consequently, to prevent huge shortfall in airlines revenues, I argued for the creation of the Domestic Network Sustainability Trust Fund.
Financial Inclusion and Its Impact on Economic Growth: An Empirical Evidence from South Asian Countries
Authors: Biswas Gautam Kumar
Published: August 2023

Financial inclusion contributes to the growth of a country through developing financial infrastructure, which accelerates economic activities and creates employment. The study attempted to explore the contribution of financial inclusion on economic growth in 4 South Asian countries. In my study, I used various panel data models, and several measures of financial inclusion to reveal the relationship between economic growth and financial inclusion. The findings of the study confirmed that financial inclusion had a positive impact on economic growth in those countries although the extent of effect varies across different measures of financial inclusion. Therefore, policy makers in these countries must take necessary steps to accelerate financial inclusion activities to achieve robust economic growth.
Aprendizajes y desafíos de la extensión universitaria. Sistematización de una experiencia en el Profesorado Universitario de Educación Física (UNLU)
Authors: Rexach Patricia , Reisin Gabriela Maia , Valero César
Published: August 2023

El presente trabajo tiene el objetivo de sistematizar diversas propuestas de Extensión universitaria llevadas a cabo en el Profesorado de Educación Física dependiente de la Universidad Nacional de Luján. A lo largo del escrito se recuperan las características y aprendizajes fruto de estas propuestas. Se describen los orígenes de cada una de las iniciativas y se realiza un encuadre historizando el recorrido. También se hace referencia a las variantes y modificaciones que fueron necesarios diseñar ante la emergencia sanitaria producto de la pandemia por el covid-19. Por último, se propone revisitar las acciones y proyectos desde las voces de los y las estudiantes a fin de identificar aportes de las experiencias para sus recorridos de formación y desafíos aún pendientes.
Memoria lúdica y patrimonio cultural en Paso de las Duranas (Montevideo, Uruguay)
Authors: Kühlsen Karen , Scarlato Inés , Rodríguez Camilo
Published: August 2023

En el presente trabajo se realiza una descripción general del Espacio de Formación Integral Juego, Tiempo Libre y Ocio. Memoria lúdica y patrimonio cultural en el barrio Paso de las Duranas que se desarrolla en el marco de la Universidad de la República (Uruguay), así como una presentación de las formulaciones conceptuales preliminares, derivadas de su implementación. En particular, se ensaya una aproximación conceptual a la noción de memoria lúdica en el cruce con las trayectorias investigativas del Grupo de investigación Educación, Sociedad y Tiempo libre (ISEF/Udelar). Este proyecto tiene por objetivo investigar y llevar adelante una propuesta de intervención vinculada a las prácticas de tiempo libre y ocio desarrolladas en un barrio de Montevideo, Uruguay, haciendo foco en los juegos y juguetes como formas materiales que operan en la mediación entre generaciones. Sobre este eje se articulan los temas de archivo, patrimonio y memoria lúdica.
La extensión en la ampliación de trayectorias educativas juveniles: recorridos, perspectivas teóricas y desafíos
Authors: Scarnatto Martín , Simoy María Silvana , Pérez Torrecilla Silvia , Viñes Nicolás , Torres Pablo Ariel , Fuentes Berhau Mariana Noemi
Published: August 2023

En el siguiente artículo se presentan los diferentes lineamientos que le dan forma al proyecto de extensión denominado “Hacia la Universidad Pública: continuidad de trayectorias educativas”. En primera instancia se realiza un recorrido sobre los momentos que fue desandando este proyecto de extensión desde el año 2016 hasta la actualidad. Caracterizado principalmente por la puesta en valor de la perspectiva de derechos que distingue a la política educativa de nuestro país y a su vez haciendo un fuerte énfasis en que la Educación Superior es un universo posible para lxs estudiantes que están finalizando la Escuela Secundaria. A su vez está anclado a 3 ejes que estructuran y le dan sentido a nuestras acciones; a) la terminalidad de la escuela secundaria, b) la educación superior como derecho y c) la extensión universitaria como posibilidad de intervención, en el contexto de procesos de “diálogos” entre la universidad y la escuela secundaria. Por último se aborda a la sistematización como estrategia teórico-metodológica y como recurso indispensable para llevar adelante con sentido crítico y reflexivo las prácticas extensionistas.
La extensión universitaria en el pensamiento sobre lo público y la comunidad
Authors: Rettich Jorge
Published: August 2023

El presente trabajo plantea repensar lo que se puede comprender por comunidad y por público, para desde allí analizar las posibles relaciones de la Universidad con la sociedad, en tanto política pública. De este modo se presenta un primer marco desde donde pensar la extensión en relación a la cuestión del lenguaje, el sujeto y el saber, para luego introducirnos en los aspectos específicos de lo que implica comunidad y público. De este modo entendemos se ofrece una forma novedosa para pensar la extensión desde una perspectiva diferente.
Design Method and Application of Intelligent Sports Equipment Based on Stochastic Differential Equation
Authors: Liang Xianrong , Yu Jiangxi
Published: August 2023

A set of intelligent sports equipment information analysis systems based on stochastic differential equation algorithms is established in this paper. Then the periodic solutions of the Fokker-Planck equation are studied in this paper. At the same time, the integral conservation problem of the finite element semi-discrete solution of the Fokker-Planck equation on R is given. Finally, the intelligent sports equipment information analysis method based on the stochastic differential equation algorithm is used in college physical education. The practical application proves that this research can support multi-source acquisition. This method has high precision. This device is helpful for exercise.
Visual Operation and Maintenance Monitoring of Power System Data Network Based on Neural Network Model
Authors: Zeng Qinghua , Chen Jianbin , Liu Jingyao , Cheng Haitao , Zou Biao
Published: August 2023

This paper introduces a communication network health monitoring technology and integrated operation management platform based on a power switching network. Firstly, network characteristics are described from technology, structure and service function. Separate regular communication networks. This paper studies a new condition-monitoring technology based on a power-switching network. This paper studies the topology of the AC power network. The condition of the network is carried out through the neural network. According to the perception results, an integrated operation management system is constructed to provide users with relevant data. This section describes the network fault status, fault diagnosis, and features of fiber hopping services. This paper offers some suggestions for operating and maintaining a power-switched network.
Integrated Operation and Maintenance of Power System Communication Based on the Markov Model
Authors: Ji Changjiu , Chen Jixu , Qiu Li , Wang Ning , Cheng Haitao
Published: August 2023

Based on the Markov model, a fault warning system for power grid operation is proposed. Its main objective is to improve the execution effect of alarm commands. Firstly, the power grid operation reliability evaluation model based on the Markov model is established. According to the set critical value to judge the change of power grid operation state. Develop abnormal alarm commands for power grid operation. Strange events are described in detail using natural language technology, and corresponding instructions are completed in the system. After the comparative test, the new alarm improved more remarkably than the traditional intelligent alarm mode.
The curriculum optimization exercise system of college physical aerobics based on partial differential equation
Authors: Shen Han
Published: August 2023

To better understand the research on how to improve the exercise of the college body aerobics curriculum, a method based on the equality of the half. By using the conditions in the theory of the difference between the variables to solve the selection problem in the multivariate experiment, it is equivalent to the design of the decision importance. Given the current situation of teaching aerobics in physical exercise at colleges and universities, an optimization of teaching aerobics is created. Through the test report, the relevant information has been identified. At this stage, there is no difference between the two groups in terms of skills and theoretical knowledge, but in self-exercise, the P value is less than 0.05, there is a difference, assuming that the New teaching has an important role in the development of students’ ideas. The goal is to use the best methods of teaching aerobics, solving the conflict between teaching hours and teaching methods of teaching aerobics for physical education in buildings colleges, and universities, and strive to make students get the best results in a limited time, thus making people attach importance to theoretical research and ideas of aerobics training.
Prediction of Cyberspace Security Data Based on the Markov Chain Model
Authors: Zhang Xinmiao
Published: August 2023

In the era of people’s access to information, the network has undergone tremendous development, the connection patterns of network attacks have become endless, and the number of attack network methods is increasing year by year. Based on the Markov model, the author studies the problem of network security authentication and aims to determine the truth of network security. In this way, network security managers can identify current network security issues, and we can gain a better understanding of the current network situation so that we can update our current security network promptly. The development process proposed by the author is simulated and the obtained results are all compared and evaluated. The experimental results show that the hidden Markov model algorithm is improved, the network security situation is better recognized, and the accuracy of the n network security problem is better known. At the same time, it is known to predict network security problems in the future according to the application model of predicting network security problems. Tests have shown that the development process is feasible and effective.
Statistical Analysis of Advanced Mathematics Teaching Quality Evaluation Based on Quantile Regression Model
Authors: Chen Junying , Zeng Haoyu , Wang Lijuan
Published: August 2023

To understand the quantile regression model, research on a statistical analysis of advanced mathematics teaching quality evaluation was proposed. In the research, based on the test bank and questionnaires, statistical analysis was applied to examine the quality of the test bank and investigate the factors affecting the teaching quality, to understand the students’ scores, find the main factors affecting the teaching quality and use them to analyze the students’ learning status and learning quality. This will help teachers understand and grasp the students’ learning process and improve their teaching ability. And it can provide a theoretical basis for qualitative and quantitative analysis to further improve the high quality.
Improved K-SVD Model in Higher Vocational Physics Teaching
Authors: Yang Shuai
Published: August 2023

In physics class, the residual data before and after noise elimination contains more image information. In the equivalent wave domain, the K-SVD method is used to eliminate noise in the noise image of each frequency band and the residual of each frequency band. The main objective is to improve the image quality of noise. The method is combined with the denoised sub-spectrum to obtain the denoised sub-spectrum with the residual signal. An inverse isomorphic wave is used for noise reduction. The simulation results show that the noise reduction algorithm using K-SVD is better than the equivalent waveform and K-SVD mode. This method has achieved good results in practical application.
Vocational Education Agglomeration Promoting Innovation and Entrepreneurship Based on Spatial Dubin Model
Authors: Du Fengshun , Hou Chen
Published: August 2023

Based on the spatial Dubin model, this paper theoretically discusses the influence of collaborative innovation on regional economic growth. The paper studies the industrial structure of enterprises by using the spatial Dubin method established by different regions and social and economic factors. It is found that collaborative innovation has a spillover effect on domestic industrial development both internally and externally. The regional migration of creative elements within the region mainly causes space overflow. And it has the characteristics of regional decline. This conclusion has specific guiding significance to the mechanism of enterprise collaborative innovation. This mode plays a positive role in promoting benign exchanges between regions and realizing industrial development and upgrading.
The Innovative Development Model of Ideological and Political Education Based on Big Data and We Media
Authors: Lv Yonghong , Li Xiangyu
Published: August 2023

To achieve the teaching objectives effectively and achieve the main objectives of ideological and political education, the author proposed research on the new curriculum design of ideological and political education based on the mass media and the Three Media. Based on the questionnaire survey, analyzes the opportunities and challenges brought to the college counselors in the mass database, including educational content, educational content, and educational methods, and introduces the problems in the present thinking and work of the college counselors. and This paper discusses the concept, content, process, and supervision system of the new ideological and political work. First, we need to build a good network environment, and then we need to build a sound information platform; and then we need to build a sound information platform. Thirdly, counselors should improve their culture and work continuously, adhere to life-long education, and colleges and universities should pay more attention to training talents and improve the ability to use information. As an important channel of national and political education, ideological and political education in colleges and universities plays an important role and role, which directly determines the structure of students” Three perspectives So, when carrying out ideological and political education, we should energetically adapt to the changes in the age of mass information, carry out educational informatization, and perfect the teaching level of educational informatization.
Effect evaluation of ideological and political guidance in university party construction based on hierarchical analysis model
Authors: Li Cong , Zhao Yuanpeng , Wang Dan , Zhong Li
Published: August 2023

To further explore the evaluation model of the quality of college students working in vocational colleges, this paper proposes to establish an evaluation index system for the quality of college students working in vocational colleges according to the four main factors of the domestic vocational college, which is based on the analysis of the quality. the work of the party building, the quality and responsibility of the party members, and the mass examination; In the process of evaluating the quality of college students’ dormitory building, various useful and useful information were determined, and the evaluation model was established by using the analytic hierarchy process, and the weight coefficients of various influential factors were determined by the combined method. First of all, according to the characteristics and requirements of the student’s institution, combined with the system of employment management widely used in China, combined with the practice of students’ institution, thoroughly analyzed various factors which affect the quality of the student’s institution building, and establish a more effective and objective evaluation index system. Secondly, using the analytic hierarchy process to scientifically classify the indicators, and determine the evaluation factor set and evaluation criteria, establish a hierarchical structure model. Finally, combined with the hierarchical structure model, the relative weight of each evaluation factor is given using the principle of fuzzy mathematics.
Multimodal Corpus Construction and Research of Intercultural Communication Based on Multiple Regression Equation
Authors: Yao Wenjing
Published: August 2023

To promote the transformation of education and teaching concepts, guide the reform of teaching content and teaching methods, and promote the joint construction and sharing of high-quality curriculum teaching resources in colleges and universities through modern information technology, improve the quality of talent training and serve the construction of a learning society. Using video analysis and website research methods, the author takes the cross-cultural communication courses offered by 22 universities in the national excellent resource sharing courses published by the multimodal online corpus of “Love Course Network” as the research sample, taking the playability of teaching videos, noise level, picture definition, multimedia courseware playing, utilization of curriculum resources and network interaction as research contents, the construction and application of teaching videos are analyzed in depth. The results show that, in the construction of intercultural communication sharing courses, there are still problems such as poor playability of teaching videos, noise and poor picture clarity.
Product Marketing Diffusion Under the Background of Digital Economy Based on Improved Bass Model
Authors: Zhu Jiaqi
Published: August 2023

Based on the improved Bass model, this paper studies online social platforms’ product information dissemination mode. This paper studies the Bass model based on the attenuation effect of user benefits. The dissemination mode of product information is established. It is the effect of product information quality on product information dissemination. Finally, an empirical analysis is made of the communication materials of the films released from 2013 to 2022. It is found that the user switching engine and the user’s consumption have obvious effects on the information transmission. This model has better prediction accuracy and fitting performance than the Bass model. This model can be applied to the calculation of other damped transport rates.
Comprehensive Sex Education Model of College Students Based on Personalized Recommendation Algorithm
Authors: Han Peiqing
Published: August 2023

This paper introduces the student-centered new intelligent, comprehensive teaching model. This paper uses the accumulated user behavior data on the platform to build a personalized recommendation model. The system provides a personalized learning route for students to choose learning strategies and resources. This method converts the user’s learning process into the user’s evaluation of the system to solve the problem of the scoring matrix. Secondly, it proposes to improve users’ similarity based on their initial marking to overcome the personalized model concept of cold start questioning of new customers effectively. Examples show that the proposed method can improve the efficiency of personalized recommendations.
Application of computers in artificial intelligence in the context of big data
Authors: Sun Manman , Cui Suli , Qiu Bin
Published: August 2023

To make the computer useful in the field of artificial intelligence in the context of big data. In this paper, based on the analysis and comparison of the big data algorithm model and artificial intelligence algorithm in computers, we propose an algorithm based on a decision tree and logistic regression model in big data to query literature papers in the field of artificial intelligence as an example and compare and analyze the accuracy, accuracy, completeness, and F1 value of the obtained data through two categories of experiments. The experimental results show that the decision tree and logistic regression algorithm model based on big data can make the data finding accuracy of 89%, accuracy of 92%, and completeness of 87%, and optimize the speed and quality of the computer algorithm in the process of processing big data. This shows that the computer in the context of big data can provide access to data through algorithmic models in the field of artificial intelligence, which can improve the accuracy and authenticity of data sources and provide data support for in-depth research in the field of artificial intelligence.
Optimization of ecological sports innovation teaching path based on multiple intelligence evaluation model
Authors: Hao Anying , Li Liangfa , Wang Jing
Published: August 2023

Rural sports tourism is an emerging industry that integrates rural tourism and sports tourism and plays an important role in broadening the field of sports and cultural consumption and driving rural economic development. Under the background of big data, how to better integrate rural sports culture and sports tourism becomes an important issue to improve the quality of rural tourism. This paper analyzes the big data of rural sports tourism on the Internet review platform based on big data processing technology, combined with the investigation and research on the current situation of rural sports tourism resources in a town. The big data analysis shows that rural sports tourists are only 7% more female than male, and the overall gender ratio is relatively balanced. In terms of age composition, the largest number of tourists were between 36 and 45 years old, accounting for 42.6%. In addition, rural sports tourists aged 26 to 60 accounted for 82.6% of all, indicating that rural sports tourism is dominated by middle-aged and elderly people. In terms of travel time, the largest number of rural sports tourists chose 2 to 3 days, accounting for 33.8%, and only 2.3% traveled for more than 7 days. In the choice of travel mode, 37.6% of tourists are organized by travel agencies, accounting for the largest number of travelers. From the big data emotional analysis of the evaluation words of sports tourists, the most frequent occurrence is characteristic, reaching 435 times, and the least frequent is danger, but also 89 times. Meanwhile, convenience and health also appear more frequently. Comprehensive analysis of the above, this paper believes that rural sports tourism should promote more local characteristics of sports culture and highlight differentiation while strengthening personal safety protection measures for tourists.
Huanghua Port enters carbon neutrality ahead of schedule through technological innovation
Authors: Li Hongjun
Published: August 2023

To improve the energy utilization rate and reduce the pollution of the port, the Huanghua Port uses technological innovation to enter carbon neutrality is proposed. According to the study of the working characteristics of a three-phase asynchronous motor, the copper loss and iron consumption of the motor are reduced, permanent magnets are embedded in the rotor to generate a magnetic field directly, and the kinetic energy and potential energy of mechanical operation are converted to power generation and recycled, and the braking power generation characteristics of the motor are used to complete power recovery. The tension of the upper and lower sides of the belt before it starts to rotate is equal, and the tensioning force should meet the starting requirements, and the working section of the belt carrying goods horizontally is divided and calculated according to the evenly distributed rollers until it runs at a uniform speed. According to its power consumption, calculate the cost of using an auxiliary generator to generate and connect electricity, use the power supply to supply the power demand, let the motor run in the rated load area as much as possible, reduce the voltage, and reduce the motor subway consumption, to improve the efficiency of the motor and realize the green energy saving of the port. The analysis of the results shows that: through this paper technical innovation of the whole process of all equipment comprehensive optimization, the port process line efficiency increased by 17.5% on average, equivalent energy saving of nearly 17%, the amount of work using time more reasonable, to ensure that the quality of work does not decline while reducing the waste of power resources, thus affecting the port efficiency improvement.
Research on vectorized engineering file management model
Authors: Chen Siruo , Zheng Xuemei , Chen Yanjiang , Du Shuiting
Published: August 2023

To solve the problem of low efficiency of engineering archives management in the general environment, this paper researches vectorized engineering archives management mode. Firstly, the composition of the archive management system is introduced, the basic system is established according to the cyclic management process of engineering archives, and the vectorization technology and characteristics are explained. Subsequently, the traditional vectorization algorithm based on edge structure extraction is used as an example, and further vectorization calculation is carried out using the bilateral filtering model, weighted least squares method, Lo gradient minimization model, Snake parameter activity contour model, geometric activity contour model, and aggregation algorithm. The advantages of vectorization techniques in information extraction are exploited to provide necessary assistance to the actual archive management work. The results show that the images processed by vectorization have the lowest compression rate, with an average compression rate of 55.67%; among the three methods, the image storage space and compression time under vectorization technology are the smallest at about 324MB and 3.4s; and the method in this paper has the highest output signal-to-noise ratio and the lowest mean square error, which well preserves the shape of the signal time domain waveform and has better noise reduction performance.
Analysis of the current situation of university-city integration development based on data mining technology and exploration of the optimization path
Authors: Jiang Haibo , Jiang Yihuo , Guo Xiaomei
Published: August 2023

University is an inevitable product of a city’s development to a specific stage. In different social environments and historical stages, universities always develop symbiotically with cities, and the integration of the higher education system and emerging technologies can accelerate the regional economic development of universities and cities. Based on data mining technology, this study uses a neural network algorithm to establish an algorithmic model and sigmoid function as the incentive function to analyze the integration development of the emerging technology industry and university in Dongguan city and provide an optimization path for the integration development of the city and university. The research results show that in the field of scientific and technological research results, the universities in Dongguan City applied for 49,726 patents in 2021 and authorized 25,523, with an efficiency rate of 51.33%. In the area of urban economic development, Dongguan’s GDP in 2021 showed strong momentum, achieving a regional GDP of 108.554 billion yuan, up 8.2% over the previous year.
Research on the Realization Mechanism and Evaluation System of High-Quality Undergraduate Education in Private Universities Based on Deep Learning
Authors: Guo Xiaomei , Jiang Yihuo , Jiang Haibo
Published: August 2023

Due to the new development stage, it is especially important to improve the education quality of private undergraduate universities. As a result, it is a new hot issue for the construction of mechanisms and assessment systems for the quality improvement of private undergraduate education. In this paper, after analyzing and researching the quality of undergraduate education in present-day universities, the mechanism of deep learning is applied to the establishment of the assessment system. Finally, 1082 samples collected from the data center platform of a private university are analyzed as the research object. From the results, the final size of the combined weights of the seven evaluation items constituting the assessment system differed little. They were 12.81%, 15.78%, 15.28%, 14.38%, 12.83%, 12.81%, 15.01%, and 13.27%, respectively. In the comparison of this paper’s method with FAHP+TOPSIS combined evaluation, euclidean map method, and genetic algorithm assignment, the difference between the seven weight values of the Euclidean map method is larger, 5.56%. The evaluation times of the four methods were 41 s, 38 s, 47 s, and 118 s. Compared with the other three methods, the genetic algorithm assignment took the most time.
An open-sharing platform for physical education course resources based on the MOOC network
Authors: Yao Jie
Published: August 2023

How to optimize course learning resources and learning methods to promote higher-order learning is an important research topic in current teaching reform. Based on the background of the big data era, this paper uses the MOOC network to build an open-sharing platform for physical education teaching course resources. Firstly, the MOOC network classroom teaching model is summarized through the analysis paradigm of the MOOC platform analyzing indicators to deal with teaching big data. The third-order nonlinear model is used in the teaching model to dynamically express the physical education teaching resource-sharing design system and establish a physical education simulation model. In the simulation model, the search optimal solution is improved for resource platform search, and global search is performed when the inertia factor is large and local search is performed when it is small. The univariate validation test for group S students revealed that the mean value of the performance of the answers selected by group S students before the test compared to after the test changed from negative to positive, from -0.46 to 0.16, which was a significant improvement. It can be seen that the teaching model based on the MOOC web-supported open-sharing platform of physical education course resources has positively contributed to students’ learning performance, learning interest, and independent learning ability.
Research on the application of dance movement skill analysis in teaching in the context of artificial intelligence in universities
Authors: Zhou Li
Published: August 2023

To explore whether dance movement techniques in colleges and universities in the context of artificial intelligence can bring new developments in teaching methods in the field of teaching and whether its effectiveness can bring some new power to professional training. In this paper, the principle model of the dance technique movement system is used to calculate the correlation coefficient between music and dance movement characteristics. On this basis combined with a genetic algorithm to train the corresponding relationship of different music dance movements, through the accuracy of the corresponding relationship as an adaptation function, to obtain an optimal dance movement correspondence, to get the dance movement matching optimization objective function, and combined with ant colony theory to optimize the solution of this objective function, thus completing the optimization of dance movement matching in music choreography. The research results show that 83.5% of the students think that dance movement skills are relevant in teaching and can achieve the teaching effect faster and more effectively, and 70% of the students think that they have enough learning time to grasp the form of technical movements more skillfully. Therefore, it is very important to analyze the dance movement techniques in colleges and universities to teach and improve the quality of teaching.
Analysis of factors influencing the image perception of tourism scenic area planning and development based on big data
Authors: Qin Jing
Published: August 2023

Based on the big data algorithm, this paper provides a detailed description of the SVM model, optimizes the algorithmic process of SVM with the GWO algorithm, and constructs the GWO-SVM classification model. The GWO-SVM is used for data mining analysis of image perception of tourism scenic planning and development, and three factors affecting image perception, namely image perception attributes, emotional image, and exploratory variables, are mined with the example of a city tourism scenic area. Regarding image perception attributes, the average percentages of functionality, wholeness, psychology, and uniqueness are 79%, 81.97%, 59.35%, and 17.95%, respectively. The perfect tourism facility function and good tourism atmosphere are the tools to enhance tourists’ image perception of tourist attractions. In terms of emotional image data, the percentage of “excited” and “pleasant” emotions are 25.66% and 27.06%, respectively, while the percentage of “frustrated” emotions is only 2.93%. In the exploratory variables, the percentage of “excited” and “happy” emotions were 25.66% and 27.06%, respectively, while the percentage of “frustrated” emotions was only 2.93%. Among the exploratory variables, the approval rates of tourism facilities, natural and humanistic landscapes, and scenic activities are 65.09%, 48.29%, and 47.52%, respectively, which means that play facilities, various landscapes, and preferential activities are good ways to enhance the image recognition, of scenic spots. The reasonable use of big data analysis technology can make the goal of planning and developing tourist attractions clearer and also help to improve the image recognition of tourist attractions and increase the economic benefits of tourist attractions.
Knowledge Landscape and Trend Analysis of Chinese Rural Education Research in the Perspective of Rural Revitalization
Authors: Huang Shuangliu , Chen Huazai
Published: August 2023

Chinese rural education research has gone through three stages of development: the period of slow exploration, the period of steady accumulation, and the period of broad development. This paper aims to clarify the knowledge landscape and trends of Chinese rural education research in the context of rural revitalization. To this end, based on the co-word analysis method, this paper collects terms, co-occurrence frequency statistics, and cluster analysis of academic literature on rural education research to give the current situation of literature based on spatial and temporal distribution and hotspot analysis of high-frequency keywords. The number of articles published in rural education research increased year by year from 2017 to 2021 with an average annual growth rate of 16.45%, and the total number of articles reached 465. Among the authors of the published articles, there are 25 core authors with three or more articles, accounting for 5.46% of the total number of all authors. From the distribution of hotspots of high-frequency keywords, the frequency of rural revitalization and rural education as the upper concept was 146 and 87 times, respectively, and the research on rural education showed a trend of diversification. Under the perspective of rural revitalization, academic literature research based on co-word analysis can clarify the policy orientation and research hotspot dynamics in the field of rural education and rural revitalization, examine the intrinsic correlation between rural revitalization and rural education, and explore the path options for promoting the development of rural education and realizing rural revitalization.