bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kazuo Aoyama y Rodrigo Liendo Stuardo, editores (2022) Mesoamérica: el estudio de sus procesos de transformación social desde una perspectiva de larga duración
Authors: Martínez Rosas Jesica 
Published: October 2024

El libro se compone de catorce capítulos, productos de importantes investigaciones, presentados durante el Primer Congreso Internacional de Mesoamericanistas en Japón, celebrado en el Campus Innovation Center de Tokio, los días 29 y 30 de octubre de 2016, editado y coordinado por Kasuo Aoyama[1] y Rodrigo Liendo Stuardo[2].

[1] Doctor en antropología por la Universidad de Pittsburgh. Actualmente es profesor de tiempo completo en la Universidad de Ibaraki (Japón); se ha especializado en estudios sobre arqueología maya, principalmente. Algunos de los espacios en los que ha trabajado son Aguada Fénix, México, Copán, Honduras, Aguateca y Ceibal, Guatemala. Ha colaborado en más de 250 publicaciones sobre la cultura maya y Mesoamérica.
[2] Doctor en arqueología por la Universidad de Pittsburgh; investigador de tiempo completo en el Instituto de Investigaciones Antropológicas, UNAM. Ha estudiado diversos sitios arqueológicos mayas, y desde 1996 ha sido responsable de dirigir el Proyecto Regional Palenque, de los que ha publicado diversos títulos.
Percepção do vínculo parental e variáveis associadas ao apego materno-fetal na gestação de alto risco
Authors: Lima Reis Henrique , Cardoso Nogueira Ketylen , Manfroi Edi Cristina , Pereira Gonçalves André 
Published: October 2024

Este estudo investigou os efeitos da percepção do vínculo parental, variáveis sociodemográficas e gestacionais na intensidade do apego materno-fetal (AMF) no contexto de gestação de alto risco. Trata-se de um estudo quantitativo e transversal com 119 participantes. Foi aplicado um questionário sociodemográfico, a Escala de Apego Materno-Fetal - Versão Breve e o Parental Bonding Instrument. Os resultados da análise de regressão linear múltipla foram estatisticamente significativos (p < 0,05). O modelo final explicou 28,7 % da variância do AMF e foi composto pelas variáveis de superproteção paterna, cuidado paterno, idade da mulher, idade gestacional e suporte do pai do bebê. Reitera-se que a intensidade do AMF é multideterminada, envolvendo aspectos da história de vida, sociais e situacionais. A percepção da mulher acerca do vínculo paterno durante sua infância e adolescência e o apoio do pai do bebê no período gestacional destacam-se como fatores influentes para a vinculação materno-fetal, indicando a importância do envolvimento paterno ao longo do ciclo vital. São pontuadas implicações para a prática profissional, bem como limitações e recomendações de estudos futuros.
Economic Consequences of AS 18: Related-Party Transactions with Principals versus Nonprincipals
Authors: Hope Ole-Kristian , Lu Haihao , Peng Songlan 
Published: October 2024

ABSTRACT
In 2014, the PCAOB adopted a new auditing standard, AS 18 Related Parties, with the intention of enhancing auditors’ performance in auditing related-party transactions (RPTs). Using hand-collected data, we find significant reductions in both firms’ restatement risk and their engagement in RPTs following the AS 18 adoption. Such reductions are especially pronounced for smaller firms and firms having RPTs with principals, in which related persons in the counterparty of RPTs are the primary beneficiaries, such as CEOs, board chairs, or primary shareholders. We also find that smaller firms having RPTs with principals tend to pay higher audit fees post-AS 18. Our study responds to the PCAOB’s call to assess the economic consequences of AS 18. The findings suggest that AS 18 is associated with improved audit quality and reductions in auditees’ opportunistic RPT activities.
Data Availability: Data are available from public sources as cited in the article and from the authors upon request.
JEL Classifications: M10; M40; M41; M42; M48.
Corporate Tax Enforcement and Business Activity
Authors: Gallemore John , Jacob Martin 
Published: October 2024

ABSTRACT
We examine the consequences of corporate tax enforcement for business activity. Using two different empirical approaches—a regional design and a firm-level design—we document that corporate tax enforcement is negatively associated with business activity, as measured by establishments and employment. This association is economically significant and is robust to tests that mitigate concerns regarding endogeneity and measurement. Furthermore, we find that the negative association between tax enforcement and business activity varies substantially in the cross-section. Specifically, we find that it is weaker for regions and firms with greater access to external financing sources and is stronger for regions and firms where compliance costs are likely higher and for which the ex ante costs of tax enforcement are greater. Our findings suggest that the effects of tax enforcement on business activity are economically important and heterogeneous, which should be of interest to academics and policymakers.
JEL Classifications: H25; H26; R11; R12.
Steatotic Liver Disease in Pediatric Obesity and Increased Risk for Youth-Onset Type 2 Diabetes
Authors: Putri Resthie R. , Casswall Thomas , Danielsson Pernilla , Marcus Claude , Hagman Emilia 
Published: October 2024

OBJECTIVE
To assess 1) the association between metabolic dysfunction–associated steatotic liver disease (MASLD) in pediatric obesity and youth-onset type 2 diabetes, 2) the joint effect of MASLD and intermediate hyperglycemia on type 2 diabetes risk, and 3) the effect of obesity treatment on type 2 diabetes risk.

RESEARCH DESIGN AND METHODS
A cohort study using the Swedish Childhood Obesity Treatment Register (Barnobesitas Registret i Sverige [BORIS]) (1999–2020) linked with national registers was conducted. We included 10,346 children with overweight or obesity and 59,336 matched control individuals. MASLD was defined by transaminases and diagnosis code, separately. Type 2 diabetes was ascertained from national registers.

RESULTS
In the obesity cohort, median age at type 2 diabetes diagnosis was 16.9 (quartile 1 [Q1], quartile 3 [Q3]: 14.7, 21.4) years, median follow-up was 8.1 (Q1, Q3: 5.1, 11.7) years. Cumulative incidence of type 2 diabetes at age 30 was 22.7% (obesity and MASLD), 9.9% (obesity alone), and 0.7% (control individuals). MASLD was associated with risk for type 2 diabetes (hazard ratio [HR] 2.71 [95% CI 2.14–3.43]), independently of age, sex, degree of obesity, intermediate hyperglycemia, and parental type 2 diabetes. Joint effect of MASLD and intermediate hyperglycemia increased type 2 diabetes risk (HR 9.04 [6.38–12.79]). Optimal response in obesity treatment reduced the risk (HR 0.23 [0.09–0.57]).

CONCLUSIONS
MASLD, defined by transaminases or diagnosis code, in pediatric obesity is associated with increased risk for youth-onset type 2 diabetes. MASLD interacts synergistically with intermediate hyperglycemia to dramatically increase the risk. Optimal response in obesity treatment reduces type 2 diabetes risk, despite MASLD.
Evaluación del ROM del hombro de tenistas como indicador del índice de lesión
Authors: Gomeñuka Natalia Andrea , Lozano Santiago , Villa Adolfo 
Published: October 2024

La práctica del tenis se encuentra asociada, inevitablemente, con la aparición de lesiones en el hombro dominante por la mecánica propia del deporte. Nuestro objetivo fue relacionar la aparición de lesiones previas del hombro con el rango de movimiento (ROM) en 35 hombres tenistas adultos amateurs (edad = 36.46±5.62 años, Cantidad de torneos participados en 2022 =4.00±1.50 torneos). Se realizó la medición del ROM del hombro dominante y un cuestionario para indagar en lesiones sufridas y hábitos deportivos. Resultados: existe una correlación significativa entre la aparición de lesiones y el ROM del brazo dominante (x2 = 14.33; α < 0.05); en aquellos tenistas amateurs que no realizaban entrada en calor eran los que habían sufrido algún tipo de lesión y por ende eran más susceptibles a lesionarse (x2 =12.01; α < 0.05); la duración de la entrada en calor de aquellos tenistas que no la realizaban lo hacían con una duración menor a cinco minutos, eran quienes más lesiones habían sufrido(x2 = 8.22; α < 0.05); y finalmente que se observó la realización de ejercicios de elongación no poseía injerencia estadística sobre la aparición de lesiones en estos tenistas (p>0.05). Conclusión: se afirma que para evitar la aparición de lesiones en tenistas amateurs adultos es recomendado realizar ejercicios para mejorar o incrementar el ROM en el brazo dominante, además que debe ser realizada una correcta entrada en calor previo a las sesiones de entrenamiento y partidos, finalmente, esta entrada en calor debe tener necesariamente una duración superior a los 5 minutos.
Research on Evaluation of Online Education Effectiveness Based on AI Teaching Aid System
Authors: An Xuemei 
Published: October 2024

Abstract
In the age of technology, the application of intelligent assistive systems in teaching is getting more and more attention. After systematically describing the framework of the AI teaching assistance system and the process of online education effect evaluation, the study selects the course of an AI teaching assistance platform as a research case, collects the students’ learning behavior data, and applies the K-means-based clustering algorithm to divide them into clusters to obtain the learner portrait. The association rule algorithm based on Apriori is used to initially mine the connection between online learning behavior and educational effects. Furthermore, the multivariate linear regression method is applied to determine specific associations between online learning behaviors and educational effects to complete the assessment of online educational effects. Through the analysis, four types of learners were summarized: general (37.89%), negative (6.84%), interactive (9.48%), and positive (45.79%). Significant correlations between students’ online learning behaviors and educational outcomes were obtained, with regression equations between them. The effectiveness of online education is greatly influenced by students’ time commitment and learning motivation. Subsequent teaching can start from these two aspects to promote the improvement of the quality of teaching in online education.
Social Media Impact on Traditional Journalism Content Change and Reader Behavior Analysis
Authors: Cui Wei , Li Fengmei 
Published: October 2024

Abstract
With the rapid development of social media, the number of netizens using social media such as microblogging, WeChat, and forums is growing rapidly, and there are more and more channels to obtain news information. This study introduces “technological innovation” as the mediator variable, social media usage as the independent variable, traditional journalism content change, and reader behavior as the dependent variable, and age and political affiliation as the control variables to explore how social media plays its influential role. The survey study yielded a total of 896 valid data samples. Regression analysis using a PLS model was used to test the relevant hypotheses. The regression results show that without the introduction of the mediator variable “scientific and technological innovation”, social media has a significant effect on the content change of traditional news, and the R-squared explanation rate is 16.8%, which indicates that social media positively affects the content change of traditional news. Meanwhile, among the information content of social media, life and medical information (β=0.075, P<0.05) and current affairs and social information (β=0.112, P<0.001) positively affect the reader behavior of traditional journalism, which indicates that social media has a significant impact on influencing the reader behavior of traditional news. After the introduction of the “scientific and technological innovation” variable, the core value of the previous regression model decreases and becomes significant, indicating that scientific and technological innovation plays a mediating role in the above influence path.
The Construction of a Model for Cultivating Intercultural Communication Competence of Business English Majors in the Context of One Belt and One Road
Authors: Lin Yinghua 
Published: October 2024

Abstract
Under the background of Belt and Road, not only economic cooperation but also humanistic exchanges between countries should be strengthened, which requires that modern college students have strong communication skills in Business English. This paper discusses the model of cultivation and constructs an ICC model containing five aspects: knowledge, attitude, interpretation and association skills, discovery and interaction skills, and education. Based on this model, the course content and teaching methods are designed around four dimensions: attitude, knowledge, skills, and critical cultural awareness. Through the construction of the intercultural communication competence index system to verify the effect of the ICC model on the cultivation of students’ intercultural communication competence, all dimensions show that the effect of the ICC model is more obvious. The results of teaching practice show that the student’s final average score is 66.59, which is 10.27 points higher than the midterm average score, and the significant probability of the t-test using SPSS is p<0.01, which is a significant difference between before and after. The above-analyzed results prove that the ICC model achieved good teaching effects in the application experiment.
Research on the Integration and Innovative Expression Methods of Visual Elements of Popular Music in Multimedia Era
Authors: Ma Xiaohong 
Published: October 2024

Abstract
Visual art and music art are two typical media, and the progress of multimedia technology has prompted the cross-border integration between them. This paper tries to visualize the visual translation of music acoustic information and emotional experiences through audiovisual mapping design. The extraction and analysis of musical and visual elements in the music visual mapping model are summarized and analyzed. Combined with the visual expression method, a mapping pattern framework that can be reused in music visualization design is proposed, and two types of mapping patterns are classified on top of it. Based on the four basic attributes of pitch, chord, tone, and timbre of popular music, corresponding visual elements are designed. Finally, the impact of the two mapping modes on the functional and aesthetic effects of music visualization is experimentally demonstrated and evaluated, and it is found that the mean value of the scaling index of the original HCR sequence of the pop music clip is close to 0.864, while the mean value of the disturbed sequence is 0.504, which is a referable evaluation result for determining the appropriate mapping type when designing music visualization.
Research on the Evaluation of the Effectiveness of Industry-Teaching Integration Construction of Higher Vocational Excellence Courses--Based on Network DEA Model Analysis
Authors: Chen Chen , Song Peisen 
Published: October 2024

Abstract
The integration of industry and education is an important model for building high-level higher vocational colleges and universities, and it is also a necessary way to promote the modernization and development of higher vocational education. Based on Hall’s three-dimensional structural model, this paper explores the specific process of the construction of industry-teaching integration of high-level, high-quality courses and evaluates the effectiveness of the construction of industry-teaching integration of high-level, high-quality courses using the network SBM-DEA model. The evaluation index system was first constructed according to the questionnaire survey method, Delphi method, and hierarchical analysis method, and then the indexes were screened and applied to the empirical analysis of the effectiveness of the construction of industry-teaching fusion of higher vocational boutique courses. The average overall operational efficiency of the industry-teaching fusion of boutique courses at 45 higher vocational colleges and universities is 0.547, which is the average level. However, the efficiency of the two phases still has some differences between the average efficiency value of the resource construction phase and the outcome output phase. The correlation coefficient between the efficiency of the outcome output stage and the overall operational efficiency is 0.885, which is highly correlated. Most institutions pay more attention to the operation of the outcome output stage. The R² of the fit between pure technical efficiency and comprehensive efficiency is 0.731, and the R² of the fit between scale efficiency and comprehensive efficiency is 0.264, indicating that pure technical efficiency is the dominant factor affecting the comprehensive efficiency of institutions. In the two stages of resource construction and output of results, the output side shows insufficient output, while the input side shows input redundancy, indicating that the input resources are not effectively utilized. This paper provides a direction of action to strengthen the deep integration of industry and education in higher vocational boutique courses and to promote complementary resources and a benign interaction between schools and enterprises.
Data-driven innovation and implementation effectiveness of tourism marketing strategies in the digital era
Authors: Cui Lili 
Published: October 2024

Abstract
Tourism marketing strategy is the top priority for all tourist attractions and tourism-related enterprises, and how innovative tourism marketing strategy in the digital era has become the key to improving the competitiveness of attractions and enterprises. This paper uses data mining technology as a basis to study feasible solutions for innovative tourism marketing strategies for scenic spots and enterprises under data-driven. A formalized label representation is used to construct an extended user portrait conceptual model by clustering the tourists’ contextual information using K-means. Tourism marketing targets users based on similarity calculation results, and association rules are used to mine the alignment association rules between tourists’ contextual features and attractions. Combined with the big data framework system Hadoop technology, we have built a tourism marketing platform that is used to analyze the tourism preferences of different tourists and formulate effective tourism marketing strategies. This paper, based on the data-driven tourism marketing strategy, can significantly improve scenic spot traffic. After marketing the Biluo Tower scenic spot in October, the average value of the traffic is up to 20,384 people, compared with the pre-marketing increase of 56.71%. At the same time, the marketing strategy significantly improves the satisfaction of tourists, and after the implementation of the marketing strategy, the satisfaction of tourists in the scenic area generally improves to more than 0.975.
Research on Dynamic Capture and Pattern Recognition Technology of Pitching Technology in Baseball Sports
Authors: Li Haike 
Published: October 2024

Abstract
This paper proposes a baseball pitching action recognition algorithm based on a spatiotemporal graph convolutional neural network and constructs an error action correction algorithm on this basis. The dynamic skeleton model ST-GCN is used to combine the positional information of human movement with the temporal dynamic information. The action contour sequence is extracted to determine the funding for the erroneous action. Finally, the machine learning method is used to realize the adaptive corrective analysis of the erroneous action. Example analysis shows that the action correction algorithm proposed in this paper improves the recognition accuracy by 20.78%, 16.67%, and 9.11%, 9.73% in the two datasets, and the pitching accuracy of the experimental group is 12.5% higher than that of the control group, and the standardized degree score of the pitching technical action is 1.1 points higher than that of the control group. Therefore, the practical effectiveness of the pitching action identification and correction method in this paper has been effectively verified.
Research on the Integration of Virtual Reality Technology and Teaching Scene Innovation in Civic and Political Education Management in Colleges and Universities
Authors: Wu Xiaobing 
Published: October 2024

Abstract
The generation and development of virtual reality technology provides new and powerful tools for the management of ideological education in colleges and universities. This paper focuses on exploring the utility of using virtual reality technology in college civic education. By selecting and deploying appropriate virtual reality display devices and development environments, we provide sufficient hardware and software support for the application of virtual reality technology to the ideology and politics classroom in colleges and universities. The browser/server 3-tier architecture model is introduced to develop this paper’s interactive teaching system based on virtual reality technology and integrate it with Civics classroom teaching. Students in the Civics classroom of University A are selected as the research subjects, and the eye movement index experiment is designed, which shows that the subjects’ attention time ratio and first-time attention time when using VR panorama learning are significantly improved compared with that of using static picture learning. The Civics classroom can easily accept this paper’s VR interactive teaching system, as demonstrated by the questionnaire results of the experimental group in two courses in teaching practice. At the same time, the mean values of the experimental group’s mind-flow experience and quiz scores using this paper’s system were 19.76% and 16.30% higher than those of the control group, and the degree of learning engagement was improved by as much as 78.556%, which effectively demonstrates the value and role of this paper’s VR interactive teaching system applied in the Civics classroom.
Research on the application of neural networks in macroeconomic forecasting and strategic management decision-making
Authors: Xue Qianqian 
Published: October 2024

Abstract
Traditional macroeconomic forecasting models have some limitations in utilizing large-scale variables, screening appropriate variables, and forecasting accuracy. Based on the theories of economic fluctuation and New Keynes, this paper uses monetary policy, investment behavior, and consumption behavior as predictors of macroeconomic fluctuation. Then, it explores the principles and steps of the BP network applied to forecasting, the design of BP neural network structure, the selection of training algorithm and training parameters, and finally establishes a reasonable BP network structure model. Finally, using the prediction of GDP growth rate as an example, an empirical comparative analysis of model prediction accuracy is carried out. The empirical results of the model in the training set and the test set show that the structure of the BP neural network model is 3-48-1, and the model obtains the optimal learning error (6.207×10−5) at 500 iterations. In the experimental set, the root-mean-square prediction error between the output predicted value and the actual value is less than ±0.2 . The model accurately predicts the GDP growth rate, which can provide a theoretical basis for proposing macroeconomic strategic management decisions.