bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the intelligent teaching mode of college piano classroom based on big data technology
Authors: Huang Yanhong 
Published: October 2023

Abstract
In this paper, firstly, under the perspective of big data, the innovation research of piano intelligent teaching mode and the application strategy of intelligent piano teaching mode under big data thinking are explained, respectively. Secondly, in music recognition in a college piano classroom, the piano music signal needs to be sampled, quantized and pre-processed to avoid the frequency bias caused by the low-frequency components of the piano music signal. Then, based on the big data technology, the piano intelligent teaching note recognition system is constructed by using the improved time domain algorithm and the improved time-frequency domain combination algorithm, and the recognition of note time value in piano intelligent teaching and the piano intelligent teaching note recognition system are studied and analyzed. The results show that the improved time-frequency domain combination is more effective in responding to the time-value information of piano music signals in recognition simulation. The note recognition system studied in this project has seen a recognition rate increase of almost 5% in system performance. This paper studies the application of intelligent piano teaching in professional learning in universities, which can lead to the development and popularity of intelligent teaching methods in piano classrooms.
A study on the cultivation path of students’ core literacy in higher education institutions under the perspective of deep learning
Authors: Gao Chengjin 
Published: October 2023

Abstract
This paper first analyzes the characteristics and components of students’ core literacy in higher education institutions and constructs a flipped classroom teaching model under the deep learning perspective. Secondly, a Stacking integration-based model for student core literacy features classification is constructed by integrating Lasso regression, random forest, and XGBoost algorithms as base learners. Finally, a case study was conducted to verify the effectiveness of the flipped classroom model in cultivating students’ core literacy. The results showed that the p-values of moral quality, professionalism, humanistic literacy, and practical innovation of students under the flipped classroom teaching model were 0.022, 0.038, 0.012, and 0002, respectively, all of which were less than 0.05, with significant differences. The flipped classroom teaching model can effectively develop students’ core literacy, as shown by this.
Analysis of talent cultivation path based on elastic regression network algorithm for recreation tourism industry in the context of industry-education integration
Authors: Xu Chunbo 
Published: October 2023

Abstract
In this paper, according to the elastic regression network algorithm model, the evaluation attribute values are normalized, the variables are analyzed by multiple regression, and the weights of evaluation attributes are calculated using the entropy weight method. Then, the talent demand of the recreation tourism industry is studied, and the talent training model of industry-education integration in the recreation tourism industry is constructed. Finally, the analysis of talent cultivation identity, satisfaction, and results was conducted using the elastic regression network. The results show that the average score of students’ self-appraisal of cultivation results reached 4.76, and the average score of enterprise evaluation was 4.28. The teachers’ identity rating of teaching management is 4, and the student’s identity rating is 4.616. The teachers’ identity rating of school-enterprise cooperation is 3.79, and the student’s identity rating is 4.465. This paper’s research aims to promote the recreation and tourism industry’s development and enhance talent training quality.
Analysis of the factors influencing the promotion of stone sculpture art based on social media communication dynamics
Authors: Chen Jing , Yuan Yue , Zhao Zijian 
Published: October 2023

Abstract
This paper first focuses on the design elements and digital platforms of stone carving art and then discusses the dissemination of stone carving art on social media platforms. Secondly, a social media propagation dynamics modeling of stone sculpture art promotion is proposed, and the degree distribution of stone sculpture art promotion in the BA scale-free network is calculated by the social media network model and propagation evolution model. Finally, the kinetic analysis of social media on stone carving art promotion by different influencing factors and information dissemination stages is explored. The results show that when the user recognizes stone carving art as Ii
(0) = 0.7 the larger the value Ii
= (0), the greater the user’s propensity to spread stone carving art promotion information and the greater the rate of stone carving art promotion information dissemination. Through the in-depth combination of social media and stone carving art, this paper has important practice and significance for the protection and inheritance of stone carving art and for improving its influence and popularity.
The construction of an index system for measuring photography teaching literacy in universities based on grey correlation analysis in cross-cultural teaching
Authors: Guo Xiwei , Della Christiantine 
Published: October 2023

Abstract
This paper proposes a model of photography teaching literacy based on cross-cultural teaching by designing and implementing a photography curriculum based on “recording the fading colors of Suzhou” and combining it with cross-cultural teaching. Then, we set the gray correlation factor series, transformed the gray correlation factor series into a dimensionless pure quantity through mathematical transformation, calculated the correlation coefficients between the comparison series and the reference series, and applied the gray correlation analysis to analyze the intercultural photography teaching literacy index system. The results showed that teachers of different genders showed significant differences in intercultural photography teaching ability (F=2.774, p=0007<0.05) and no significant differences in intercultural photography teaching knowledge and intercultural photography teaching emotion. In terms of correlation, the correlation coefficient between research hard work and autonomous cooperation was 0.523 (**), and its correlation exists, indicating that teachers in colleges and universities at the prefecture level have a stronger awareness of the degree of correlation between research spirit and teaching spirit than those in colleges and universities at the county level. This study explores the good relationship between research literacy and photography teaching literacy so that it can be adapted to the development of teachers and students in the context of the new curriculum.
Research on image recognition and processing of motion targets of warehouse logistics robots
Authors: Zhao Aodong , Zhou Guanghong , Zhang Nan 
Published: October 2023

Abstract
In developing robots for warehouse logistics, image recognition and processing for moving targets are the cornerstone of subsequent work. In this paper, the Meanshift algorithm is extended to continuous image sequences, and the Camshift algorithm for motion target tracking in a warehouse environment is proposed to obtain effective tracking of targets through the probability distribution when the color of continuous images changes dynamically. Based on target tracking, a feature-matching-based image recognition method is constructed. The scene image is first treated with improved Gamma correction for light equalization, and then image features are extracted using SURF feature points. Regarding running time, the feature matching method is, on average, 2.03 seconds faster than FLDA and 0.96 seconds faster than PCAFLDA under the same external conditions. By optimizing the computational structure, the feature-matching method can address the need for efficiency in warehouse logistics.
Analysis of non-linear effects of international financial systemic financial risk on macroeconomic impact
Authors: Yang Fangzhou , Liu Wenshu , Yang Guoxing 
Published: October 2023

Abstract
This paper first analyzes the international financial systemic risk transmission mechanism in the big data environment, constructs an international financial systemic risk index system, and measures the index based on principal component analysis. Then, the existing international financial and macroeconomic literature is sorted out, a macroeconomic resilience index system is constructed, and the index is measured using the entropy value method. Finally, MS-VAR and TVP-VAR models are constructed based on the VAR model to analyze the non-linear effects of international financial systemic financial risks on macroeconomic impacts. The results show that a shock of 1 unit of CFSI causes a positive response of MR of about 0.23 in the long run, and CFSI all produce a negative shock to MI until this negative shock reaches a maximum of -0.023 in the 5th period.
Analysis of the expression and application of visual communication elements in art design based on big data
Authors: Li Xiaojing 
Published: October 2023

Abstract
Based on big data analysis, this paper clarifies the basic elements and other elements in visual communication through the expression of visual communication elements in art design and constructs the formation mechanism of visual art design and the characteristics of information cognition. Based on the image processing algorithm for image brightness equalization processing, the image fusion and wavelet noise reduction processing are combined with the pixel point quantization tracking method, and specific cases demonstrate the optimization effect and practicality. The results show that in the example solution, the visual communication index of each module is Z = 4289, while the optimized visual communication index Z&prime = 4834 is obtained after processing by the image-based processing algorithm, which improves the communication effect and quality of the art design. This paper proposes a new idea and method that provides inspiration and reference for art design practice and research.
A study on the influence of teacher certification concept on the construction of art majors in universities based on big data analysis
Authors: Xi Jingxia 
Published: October 2023

Abstract
The development of the data era has put higher requirements for college art courses, but the imperfect evaluation system of practical teaching of college art courses has become a stumbling block to the flourishing development of college art. Based on the decision tree model, this paper proposes constructing the optimal decision tree using pruning techniques. The optimized decision tree is adopted to explore the differences in the construction of art majors in universities under the condition of normal major certification and feedback on the influence of normal major certification on art majors through the evaluation results. From the analysis of the three index examples, the mean values of cognitive evaluation, pedagogical evaluation, and effectiveness evaluation of art courses were 2.527, 4.756, and 3.267, respectively, indicating the best evaluation in the pedagogical evaluation of art courses, but the cognitive evaluation was slightly lower. Normal major certification significantly influences the construction of art majors in colleges and universities. The decision tree model can also guide the innovation direction of college art courses more intuitively through data so that the evaluation system of college art courses can enjoy the development dividend of the new technology era.
Study on the Application of Ganan Hakka Architectural Elements in Modern Architectural Interior Design
Authors: Lei Xiang , Guo Limin , Liu Yang 
Published: October 2023

Abstract
This paper constructs a morphological extraction model of Ganan Hakka architectural elements based on feature fusion using ResNet as the backbone network. Then, the extraction method of Ganan Hakka architectural colors based on the combination of multivariate fuzzy C-mean clustering algorithm and the K-mean++ algorithm is designed. The improved recommendation algorithm intelligently matches the extracted color and morphological elements and applies them to modern architectural interior design. The results show that the average time of interior design intelligent recommendation is 3.8s, the overall accuracy is above 0.94, and the degree of interior design intelligent matching is in the range of [0.78,0.99]. Based on this study, Ganan Hakka’s architectural elements can be well combined with modern architectural interiors to promote traditional culture.
Analysis of the information transmission path of national sports culture based on gradient descent algorithm in the era of informationization
Authors: Liu Yefei 
Published: October 2023

Abstract
The digitization inheritance of national sports culture is an inevitable requirement of the new era, so studying its communication characteristics in the digital age is necessary. In this paper, the cognitive semantics of its cultural imagery is obtained based on the analysis of the connotation of national sports culture, and the informational imagery is extracted based on the cultural semantic analysis. The fast gradient descent algorithm optimizes the sampling and dissemination process of information during establishing the SIRI communication network for cultural imagery. Changes in the state and popularity of the dissemination nodes were explored by changing the external social environment and the input of the information carrier. When the probability of social environment increases from 0.15 to 0.95, the node with state S transforms into an information dissemination node faster and finally tends to a stable value of 0. In terms of information carriers, the degree of the flow of video dissemination will be graded higher than other carriers, and the popularity of video dissemination is 2.45%, 3.14%, and 5.21% higher than audio, image, and text, respectively, when the dissemination reaches the 4th generation. The information dissemination model optimized using a gradient descent algorithm can accurately capture the dissemination characteristics of national sports culture, thus proposing a better information transmission path.
Regulation of Organic Production in Brazil: Notes for its Adaptation to Participatory Guarantee Systems
Authors: Resende Eugênio Martins de Sá , Costa Bianca  Aparecida Lima , Da Silva Márcio Gomes , Padilla Mamen Cuéllar , Pérez Isabel Maria Haro , Da Silva Ihedilla Humberta Sinésio Cândido 
Published: October 2023

Objective: analyze the process of public regulation of organic production in Brazil, with a focus on Participatory Guarantee Systems (PGS) and Social Control Organizations (SCO).

Method: The research employed document analysis of reports produced by civil society organizations, content analysis of two webinários on the subject, and conducted 12 interviews with representatives of Brazilian PGSs.

Theoretical framework: The theoretical framework encompasses regulations and documents related to organic certification, agroecology, and social construction spaces, as well as current studies on PGS and participatory certification.

Results and conclusion: The results presented in this work are part of the research project “Sistemas de confianza, producción ecológica y garantía. Innovaciones sociales al sello oficial en el contexto de los canales cortos de comercialización” developed by the University of Córdoba, Spain, in partnership with a team from the Federal University of Viçosa, Brazil. It is noteworthy that the excess of records, notes and regulatory controls hinder the inclusion and participation of peasants and farmers in organic quality assurance processes.

Research implications: This discussion aims to contribute both to an expanded understanding of the social processes established for the regulation of organic production and to provide insights for the reformulation of current regulations in the country.

Originality/value: A revision of the methods of verification, traceability, and social control is necessary, adapting them to the diverse socio-cultural realities existing in Brazil.
Behavior of Cement Mortar with the Addition of Coconut Fibers
Authors: Santos Andressa Ponse , Do Nascimento Matheus Rodrigues Pereira , Barboza Christian Souza , Omido Agleison Ramos 
Published: October 2023

Purpose: Analyze the physical and mechanical parameters of cement mortar with the addition of coconut fibers (FC).

Theoretical framework: In recent years, there has been a comprehensive approach towards incorporating natural fibers as reinforcing elements in cementitious composites. This approach is motivated by the availability of these fibers, the reduced costs involved and the positive effects in mitigating the environmental impacts caused by the use of polymeric fibers from non-renewable sources. However, increasing the proportions of these elements in mortars, for example, does not always result in improvements to the integrity of the material produced.

Method: The initial phase was directed to the literature review focused on studies that explored the behavior of cement mortars with vegetable fibers. Next, the process of mechanical extraction and treatment of coconut fibers was carried out, aiming for the subsequent characterization of the materials. A dosage study was carried out using a 1:3 mixture (cement:sand) using percentages of 3%, 5% and 7% of coconut fibers, based on the total volume of the composite. Based on the preliminary study, the mix with 5% addition of coconut fibers was selected due to its superior performance. To evaluate the material with the defined percentage of FC, tests were carried out covering physical indices and mechanical resistance in the fresh and hardened state. Parameters such as consistency index, compressive strength, tensile strength, water absorption, void index and specific mass were analyzed.

Results and conclusion: The results indicate that the addition of 5% by volume has a positive impact on increasing the tensile strength of mortars from 1.83 MPa (without fibers) to 2.36 MPa (with fibers). However, this addition does not have a favorable influence on other mechanical properties, such as compressive strength, although it does not cause significant harm to its applicability.

Research implications: Composites with vegetable fibers offer the possibility of combining traditional construction techniques with unconventional elements, using the reuse of waste.

Originality/value: The contribution to the evaluation of the behavior and adaptation of this material, in order to make it economically viable and durable.
Tehnik Progressive Muscle Relaxation terhadap Penurunan Tekanan Darah untuk Mencegah Terjadinya Hipertensi Intradialisis pada Pasien yang Menjalani Hemodialisis
Authors: Agustina Mita , Umbu Egidius , Amandus Amandus 
Published: October 2023

Latar belakang : Ginjal merupakan organ yang berperan penting didalam tubuh manusia. Penyakit ginjal kronik saat ini sudah menjadi epidemik global dan prevalensinya meningkat diseluruh dunia. Hemodialisis merupakan terapi pengganti ginjal yang paling banyak dilakukan pada pasien End Stage Renal Disease (ESRD) dan jumlahnya dari tahun ke tahun terus meningkat. Meskipun hemodialisis aman dan bermanfaat untuk pasien, namun bukan berarti tanpa efek samping. Penyulit yang umum terjadi saat pasien menjalani hemodialisis, yaitu kram otot, pusing, sakit kepala, aritmia, hipotensi dan hipertensi. Hipertensi adalah kejadian penyulit selama intradialisis yang paling banyak terjadi. Salah satu cara yang dapat dilakukan untuk mencegah kejadian hipertensi intradialisis adalah dengan tehnik Progresive Muscle Relaxation,
Tujuan Penelitian : Mengidentifikasi pengaruh Progresive Muscle Relaxation untuk mencegah hipertensi intradialisis pada pasien dengan hemodialisis
Metode Penelitian : Quasi Experimental Research, dengan desain penelitian Pre And Post Test with Control Group Design, dengan jumlah sampel 30. Analisa data dilakukan mencari dengan Paired T TEST.
Hasil penelitian: Terjadi peningkatan tekanan darah pada responden yang tidak diberikan tehnik Progressive muscle relaxation yaitu 2 mmHg (sistole) dan 7,60 mmHg (diastole), dan terjadi penurunan tekanan darah pada responden yang diberikan tehnik Progresive muscle relaxation yaitu 16,87mmHg (sistole) dan 6,87 mmHg (diastole)
Kesimpulan: ada pengaruh terapi progresive muscle relaxation untuk mencegah hipertensi intradialisis pada pasien dengan hemodialisis
Hubungan Dukungan Sosial, Status Sosial Ekonomi dan Usia dengan Kesejahteraan Psikologis Pasien Pasca Covid-19
Authors: Budiman Arief , Ramadhan Jidan , Hidayah Nanda Nur , Hasmi Putri Dwi , Sandra Rafika 
Published: October 2023

Introduction: : Coronavirus Disease 2019 is an infectious disease that causes severe acute respiratory syndrome. During this COVID-19 pandemic, it has a negative impact on physical and psychological health. In Indonesia, there is a negative public stigma regarding post-COVID-19 patients. People tend to isolate someone who has been declared cured, ostracize groups that are considered easy to spread the COVID-19 virus. The existence of negative stigma from society and the environment can be burdensome for patients who have recovered to be able to return to normal activities, this will generally affect their psychological well-being.
Purpose: to determine what factors were associated with the psychological well-being of post-Covid-19 patients.
Method: This research method uses a correlation descriptive research design with a cross sectional approach. The population in this study were 328 post-COVID-19 patients and a sample size of 255 respondents using the incidental sampling technique. Data collection was carried out from May to October 2021 in the Sambutan Samarinda health center work area by using questionnaires. Statistical analysis test using frequency distribution and central tendency, while for bivariate test using Spearman Rank.
Result: The results of the study based on the Spearman Rank test there was a significant relationship between sosial support, socioeconomic status, age factor and psychological well-being of post-covid-19 patients with a p value of 0.00.
Conclusion: the factors of sosial support, socioeconomic status and age have a significant relationship to the psychological well-being of post-covid-19 patients with a very strong relationship and a positive direction, meaning that the higher the sosial support, socioeconomic status and age of a person, the the better the psychological well-being.
The Big data analysis on historical tweets on Indonesian Heroes' day
Authors: Zudan Rosyidi  , Sugihartati Rahma , Ariadi Septi 
Published: October 2023

The changes in the historical text on Twitter are starting point of this research. The moment of the Heroes' Day commemoration on Twitter becomes the entry point to analyse these changes. Therefore, this study analyses historical text tweets at that moment by paying attention to the context surrounding the users. The study uses a content analysis method, emphasising a qualitative approach. Two data collection techniques are used to obtain accurate and faster details: manual observation and data crawling by Python program. This study found three dominant text variations. The first is a text containing a narrative about Bung Tomo, public information about the Hero, and the word "ex" (mantan -Indonesian) to commemorate users' relations. There are ten dominant words used in the three variations of the text.