bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Degree of Influence of External Unfairness of Executive Compensation on the Stability of Corporate Management Teams
Authors: Yao Yan 
Published: November 2023

Abstract
This paper uses explanatory variables to carry out the degree of executive unfairness on the stability of the team, using the number of members serving in the sample period to measure the stability of the executive team, the introduction of risk-taking, inefficient investment mediating variables on the role of corporate merger and acquisition behavior impact path. By calculating the causal relationship between executive team stability and corporate technological innovation performance, it is concluded that the degree of external positive inequity in compensation impacts corporate stability. It is found that the mean value of executive compensation in the agriculture and forestry industry is 0.287, the median is 0.193, and the average annual growth rate of average executive compensation is 24.2%, which can provide practical suggestions for corporate managers and decision-makers about compensation setting and team building.
Factors influencing communication power in new media innovation combined with multi-source data fusion analysis
Authors: Liu Yiou , Huang Yingfei , Huang Haimin , Chen JiongZhao , Liang Ruomeng 
Published: November 2023

Abstract
This paper combines multi-source data and obtains effective data collection with higher value and richer knowledge connotations by cleaning, integrating, filtering, and transforming the original data. It also calculates the propagation characteristics of new media innovation, proposes the similarity of nodes, combines the propagation probability to construct the centrality degree and the near centrality expression, and analyzes the relationship of the propagation term that affects the new media innovation. The results show that when p takes 0.1, it is 13.8 and 14.15 seconds at 100 nodes and 500 nodes of new media innovations, indicating that the propagation time starts to extend gradually with the increase of p-value. The correlation between dissemination power and time in new media innovation incorporating multi-source data is demonstrated.
The Relationship between Human Resource Management and Organisational Performance in Universities Combining Multiple Linear Regression
Authors: Guo Xiaojing 
Published: November 2023

Abstract
This paper first explores human resource management and organizational performance and investigates the multiple linear regression model and its hypothesis conditions, parameter estimation, model testing and variable normalization treatment. Then, the evaluation index system of university organizational performance was constructed, and the relationship between human resource management and organizational performance in universities was analyzed in depth through correlation analysis, the relationship between subjects’ basic conditions and organizational performance, analysis of variance explanation of endogenous latent variables, and empirical analysis of the relationship between human resource management practices and organizational performance. The results show that information sharing has a significant positive relationship with research contribution (β=0.293, Sig.=0.084, T=4.67) and based on human resource planning has a significant positive relationship with research input (β=0.55, Sig.=0.023, T=2.362). Therefore, human resource management in universities has a significant impact on organizational performance.
Strategies for Civic Education in Colleges and Universities Based on Deep Learning Methods
Authors: Qin Hongliang 
Published: November 2023

Abstract
To solve the employment problems of college students, this paper integrates Civic Education and employment education, reforms the Civic Education of colleges and universities based on deep learning, and constructs the evaluation index system of Civic Education of colleges and universities to improve the employment and entrepreneurship rate. Based on the established evaluation indexes, a comprehensive evaluation model for college Civic Education based on deep learning is constructed by combining principal component analysis and gray correlation degree. The strategy evaluation is comprehensive by screening and assigning weights to the evaluation indexes. The results show that the maximum value of the gray comprehensive correlation degree is 0.93, and the correlation degrees of five first-level indicators are 0.18, 0.19, 0.2, 0.21 and 0.15, respectively. The quality of college Civic Education based on deep learning is superior and can enhance employment and entrepreneurship abilities.
Applying multiple linear regression to analyze the relationship between film and animation industry development and policy support
Authors: Yue Jingya , Feng Shaodan 
Published: November 2023

Abstract
To explore the role of policy in developing the film and animation industry to better utilize the service function of animation industry policies. This paper constructs a two-dimensional analysis model of the policy, selects and codes the policy text, and uses it as the explanatory variable in multiple linear regression. At the same time, the comprehensive evaluation of the development level of the film and animation industry was selected as the explanatory variable, the index system was constructed by using the diamond theory, and the public factors and weights of the evaluation were determined based on the factor analysis method. Finally, a regression equation was established through multiple regression analysis to explore the influence of policies on the production and revenue of film and television animation and product quality, and the correlation coefficients of the regression equation were determined. Implementing the film and television animation policy resulted in a 56.8% increase in the industry’s main business revenue. At the 0.05 level, the effect was statistically and economically significant.
Application of multi-source data fusion of modern dress design with the artistic elements of Chinese embroidery
Authors: Yuan Wei 
Published: November 2023

Abstract
This paper first investigates the method of extracting features from Chinese embroidery art images, including preprocessing, filtering, and enhancement steps. Then, the multi-classification recognition technique based on an improved support vector machine is used to classify and recognize different modern dress designs. Non-iterative and conjugate orthogonal algorithms are proposed for a feature fusion method based on partial least squares analysis. In the performance analysis part, the performance of feature extraction classification, data fusion energy, and fused data noise are evaluated. Lastly, the impact of the dress style generation map incorporating fused Chinese embroidery elements is analyzed. The study shows that the method in this paper can save 33.4 J of energy consumption after running for 250 s compared with the popular learning-based method. At least a 10% improvement in the number of dress style graphs that interest social event participants, etiquette service practitioners, and performers was achieved after multiple training iterations.
Business English Learning Path Based on Knowledge Mapping in the Context of Educational Informatisation
Authors: Cong Rui 
Published: November 2023

Abstract
In this paper, we first construct ontology and entity learning to construct a knowledge graph by matching the knowledge to the schema layer. Then, we obtain users’ learning styles, extract interest keywords from user behavioral data, map them into the vector space encoded based on the KgTransH algorithm, and compare them with the original algorithm on multiple datasets. Then, the business English learning path is planned based on learning path length, learning time and achievement ranking. Finally, the effect of the knowledge graph-based business English learning path planning method is analyzed through comparative experiments. Through 50 iterations, the satisfaction of the knowledge graph method, GA method and ACO method are between 4.3-4.8, 4-4.7 and 4.05-4.7, respectively, which indicates that the method of this paper is better than the other methods. This study is important for improving the learning effect of Business English.
The application of deep learning analysis based health psychology education in the ideology and politics course of universities
Authors: Zhang Xiaoyu , Zheng Qingsong 
Published: November 2023

Abstract
In this paper, a formal view of mental health based on deep learning was constructed by collecting social network data and psychological labeling data of students in colleges and universities, and the social network data model was extracted by using the MANE algorithm and combined with the average degree and other indexes to make a preliminary assessment. Oriented to this data model, a student mental health identification algorithm based on the MAM algorithm was proposed, and the method was combined with psychology education to study its application in the Civics classroom. From the perspective of educators, the influence degrees of teachers’ knowledge, ability, quality, and teaching input in Civics education from the psychological perspective are 0.214, 0.114, 0.043, and 0.048, respectively. Healthy psychology education based on deep learning can effectively analyze the psychology of Civics education and provide a guiding path to the use of psychology in the Civics classroom.
Phonological and Lexical Change in English Linguistics Applying the Dominance Relatedness Approach
Authors: Wang Yungang 
Published: November 2023

Abstract
This paper first analyzes the causes of phonological and lexical changes in English linguistics and discusses the main manifestations of English phonological changes and phonological and lexical changes. Then, it constructs the evaluation model of English linguistics using the dominant correlation method based on the entropy value, approximation ideal, and gray correlation methods. Finally, data on phonological and lexical changes are analyzed about the development of English linguistics in the past sixty years. From the analysis of factors affecting English vocabulary change, the historical factor responsible for vocabulary change is the development of human society, and the factor value currently stands at 0.428. In comparison, the social, psychological, cultural and foreign language factor values reach 0.654, 0.458, 0.512 and 0.461, respectively.
Liquid chromatographic fingerprinting technique for quality control of Angelica sinensis and its preparation
Authors: Liang Yong 
Published: November 2023

Abstract
In this paper, the fingerprints of 10 batches of Angelica sinensis herbs and 5 batches of commercially available Angelica sinensis preparations originating from different parts of China were determined by high-performance liquid chromatography (HPLC) fingerprinting using a methanol-acetonitrile solution system with linear gradient elution, and the similarity analyses were applied for the classification. Derringer’s satisfaction function evaluated the acceptable limit values for processing multiple characteristic peaks of Angelica sinensis herbs. The results showed that under selected chromatographic conditions, HPLC fingerprints of Angelica sinensis were obtained, and four characteristic peaks were calibrated. The similarities of 10 batches of Angelica sinensis herbs ranged from 0.953 to 0.998, and those of 5 batches of Angelica sinensis preparations ranged from 0.969 to 0.999. The method established in this paper is stable, reliable and reproducible, and it can be used to provide a reference for quality control of the herbs of Angelica sinensis and the drinkable tablets of Angelica sinensis body and to provide a reference for quality control of the classic prescriptions containing Angelica sinensis or the It can provide a reference for the quality control of Angelica sinensis herb and Angelica sinensis body tablets, and provide a basis for the development and research of classical prescriptions containing Angelica sinensis or Angelica sinensis.
Visual Communication Design Features Based on Traditional Animal and Plant Patterns
Authors: Li Peng 
Published: November 2023

Abstract
This paper contributes to the visual communication design of traditional animal and plant patterns by recreating the traditional pattern graphics based on the specific skeletal laws of traditional patterns. Based on the demand for vectorization of traditional animal and plant tattoos, a vectorization algorithm based on edge structure extraction is proposed to pre-process the tattoos using the gradient minimization model, and the tattoos are processed by image vectorization using the edge structure extraction algorithm of clustered segmentation and the Bézier curve fitting algorithm of the least squares method. Based on the image vectorization rendering of traditional animal and plant patterns, the visual communication design is carried out, and the color matching effect is analyzed in terms of single-factor color matching and comprehensive color matching. 10 extracted colors are analyzed in terms of the hue angle difference on the color ring, and the two comparative colors are the contrasting colors when the angle difference is 120~180°. The contrast height is highest when the difference value is 180°.
Talent cultivation model of rural tourism and industry-education integration combined with the advantageous correlation degree method
Authors: Chen Anhui 
Published: November 2023

Abstract
In this paper, we first constructed an industry-teaching integration model for rural tourism talent cultivation and determined the objectives, content, and cultivation methods for cultivating talent. Then, the correlation analysis model is established, the principal components are extracted, and the discrete behavioral observations of the system factors are transformed into segmented continuous lines through the method of linear interpolation, and then the geometric characteristics of the lines are used to determine whether the connection between different sequences is close. Finally, a correlation analysis is conducted on the level of talent cultivation during industry-teaching integration and the factors that influence it. The results show that the training conditions of industry-education integration β = 0.283, the training mode β = 3.409, and the training content β = 0.175, which indicates that the integration of industry-education integration plays an important role in cultivating rural tourism talents. This study proposes a new talent cultivation mode to provide a theoretical basis for the sustainable development of rural tourism.
Peran Perencanaan Karir terhadap Work Readiness pada Siswa Sekolah Menengah Kejuruan
Authors: Tentama Fatwa , Heryasa Mukti Bima 
Published: November 2023

Work readiness berperan penting bagi individu agar dapat memperoleh, menjaga dan melakukan pekerjaan dengan baik. Penelitian ini bertujuan untuk menguji peran perencanaan karir terhadap work readiness. Populasi penelitian ini adalah seluruh siswa kelas XII SMK Muhammadiyah 1 Yogyakarta yang berjumlah 190 siswa. Sampel pada penelitian ini sebanyak 50 siswa yang diperoleh melalui teknik cluster random sampling. Instrument pengumpulan data pada penelitian ini menggunakan skala work readiness dan skala perencanaan karir. Data penelitian dianalisis dengan teknik korelasi product moment melalui bantuan software SPSS V.19. Hasil analisis data menunjukkan bahwa perencanaan karir memiliki hubungan positif dengan work readiness. Nilai r yang dihasilkan sebesar 0,297 dengan taraf Sig. 0,036. Sehingga dapat disimpulkan bahwa perencanaan karir sebagai faktor internal mampu memberikan kontribusi yang signifikan terhadap work readiness. Artinya faktor yang bersumber dari dalam diri cukup mampu mempengaruhi work readiness.
Cost Analysis in the Transition of Projects to Remote Work During the COVID-19 Pandemic
Authors: Maritan Francieli Bender , Soliani Rodrigo Duarte , Drumond Thais Diniz Reis , Satrapa Herika Fernanda Dantas Montilha , Oliveira Pollyana Rufino de Souza , De Lima Junior Francisco Bezerra , Nora Leonardo Augusto Rodrigues da Silva , De Oliveira Gabriela Cunha 
Published: November 2023

Theoretical Benchmark: The COVID-19 pandemic forced businesses to undergo unprecedented transformations. Projects emerged as key drivers of change, necessitating clear intentions and resource organization. Amid economic challenges, companies globally pivoted to remote work, leading to cost analysis implications. Delays and cost overruns persisted in project management, with factors like inadequate forecasting and unforeseen risks contributing. The study aimed to evaluate the expenses of three consulting projects transitioning from in-person to remote work due to the pandemic's impact. Method: This study employs an exploratory case study methodology to examine the transformations undertaken by a private entity offering educational and technology services in response to the COVID-19 pandemic. The focus is on the technology and innovation sector, where services include metrology, technical services, product development, and consulting. Cost analysis is conducted, comparing in-person and remote project execution, with a fixed-price contract model, and profit margins are evaluated for each project mode. Results and Conclusion: Adapting projects to remote work during the pandemic reduced costs and increased profit margins, with Project A achieving a 4.9% profit margin due to savings. Projects B and C saw significant cost reductions of 17% and 31%, respectively, when executed remotely, leading to higher profit margins. The study underscores the potential for remote consulting projects as a viable business opportunity and suggests further research into their impact on customer satisfaction and pricing competitiveness. Research Implications: The study's findings recommend that consulting firms should adopt standardized cost estimation procedures and implement project-specific cost monitoring. These implications offer practical guidance to consulting firms aiming to excel in demanding situations and streamline their operations effectively. Originality/Value: This research explores how consulting firms can thrive during crises like COVID-19 by adopting remote work, which reduces costs and increases profitability. It suggests, as a topic for future research, a more detailed analysis of the correlation between project execution in-person and remotely, and how this directly affects the satisfaction and performance of client companies.
Generating Sympathy for Specific Characters and Events in Mandla Langa’s “The Dead Men Who Lost Their Bones”
Authors: Sibuyi Dzunisani 
Published: November 2023

In this article, I investigate Mandla Langa’s short story “The Dead Men Who Lost Their Bones” by applying Gérard Genette’s narrative discourse along with Mikhail Bakhtin’s dialogic imagination to the text. By highlighting the way in which Langa employs narrational strategies to generate meaning in the story, I aim to correct the critical neglect of this aspect of his work. It is established that two narrational modes of the intradiegetic-homodiegetic and the intradiegetic-metadiegetic are employed by two central characters in the narrative. The first character narrator is Clementine, the daughter of the second narrator, Simeon Ngozi. This produces a heterodiegetic narrative, that is, a multiple narrative strategy. This multi-voiced polyphonic narrative accentuates the plight of the main characters and their struggles under oppressive and exploitative conditions in apartheid South Africa. It also generates sympathy for these events, as well as for Clementine and her father.
The impact of 6-furfurylaminopurine on the productivity and quality of strawberry
Authors: Пономарёва А.С. , Ламмас М.Е. , Боровик Р.А. 
Published: November 2023

В условиях Краснодарского края в 2021–2022 годах проводились исследования по применению 6-фурфуриламинопурина (0,075 г/л) в трёх дозах (0,5, 0,75 и 1,0 л/га) на землянике садовой сорта Клери, в результате которых было выявлено положительное влияние препарата как на биометрические показатели растений и элементы структуры урожая, так и на количество и качество полученной продукции. Отмечено, что значительный прирост по элементам структуры урожая был получен при обработке регулятором роста растений на основе 6-фурфуриламинопурина в норме 0,75 л/га. Так, увеличение среднего количества ягод на цветоносе в 2021–2022 годах составляло 31,1%. Масса ягод земляники возросла на 6,1–13,7% при среднем значении в контрольном варианте 14,37 г. Полученные в опытных вариантах ягоды отличались лучшими вкусовыми качествами и более сбалансированным биохимическим составом. Так, сумма сахаров в ягодах земляники садовой в вариантах с применением 0,075 г/л 6-фурфуриламинопурина возросла на 3,3–8,4%, а сумма сухих веществ — на 3,4–7,9% по сравнению с вариантом без обработки регулятором роста растений. Содержание витамина С в ягодах земляники увеличилось на 2,2–3,8% при 76,4 мг/100 г в контрольном варианте. Также выявлено положительное влияние регулятора роста на урожайность земляники. Максимальная прибавка урожая за 2 года была получена при применении препарата в дозе 0,75 л/г, она составила 0,5 т/га. Опрыскивание рассады земляники садовой сорта Клери через 2 недели после высадки 6-фурфуриламинопурином (0,075 г/л) благоприятно сказалось на росте и развитии культуры, улучшении продуктивности и качественных показателей ягод земляники, а также способствовало лучшей приживаемости высаженной рассады и снижению стресса у растений
This article reports on the application of three rates (0.5, 0.75 and 1.0 l ha-1) of 6-furfurylaminopurine (0.075 g/l) when growing strawberry (Kleri) in the Krasnodar region in 2021–2022. A positive effect was indicated on plant biometry, productivity as well as product quantity and quality. The growth stimulator based on 6-furfurylaminopurine (0.75 l ha-1) significantly improved plant productivity. The number of strawberries per peduncle grew by 31.1% in 2021–2022. The mass of strawberries increased by 6.1–13.7% under the average value of 14.37 g in a control. The application of the growth stumulator resulted in the product of better taste with more balanced biochemistry. Treating strawberries with 0.075 g/l of 6-furfurylaminopurine led to the increase of sugars by 3.3–8.4%, dry matter — by 3.4–7.9%. The content of vitamin C grew by 2.2–3.8% versus 76.4 mg/100 g in the control. The growth stimulator had positive impact on strawberry productivity. The highest yield increase of 0.5 l ha-1 was observed under the application of 0.75 l ha-1 of the preparation. Spraying strawberry with 6-furfurylaminopurine (0.075 g/l) 2 weeks after planting improved plant growth, development, productivity, quality, and stress-resistance.