bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effectiveness of using Wattpad to teach narrative text writing
Authors: Gustiani Rayna Elisya , Bunau Eusabinus , Rahmani Eka Fajar 
Published: February 2024

This study aimed to examine the effectiveness of Wattpad as a medium to teach narrative text writing to the tenth-grade students of SMK Negeri 5 Pontianak. This study was carried out using a pre-experimental study with one group pre and post-test design. The sample of this research was a cluster involving 30 students from Class X Tata Kecantikan I taken from a population of 334 students. The results indicated that the t-test was 12.489. The analysis of the pre-post-test scores indicated that the pre-test was lower than the post-test (71.5<88.3). The t-test analysis showed a greater value compared with the t-table (12.489>2.045) with the degree of freedom 29 and ???? = 0.05. The analysis revealed that the null hypothesis was rejected while the alternative hypothesis is accepted. In addition, the effect size was categorized as a strong effect with the value (2.28>1.00). Therefore, the research referred that the use of Wattpad as a medium to teach students narrative text writing was effective with a strong effect. Despite its initial purpose, Wattpad can be a recommended media to teach tenth-grade students.
Does More Frequent Financial Reporting Bring the Future Forward?
Authors: D’Adduzio Jenna , Koo David S. , Ramalingegowda Santhosh , Yu Yong 
Published: February 2024

SYNOPSIS
Exploring mandatory financial reporting frequency changes in the United States from 1954 to 1972, we find that a mandatory increase in reporting frequency is associated with an increase in firms’ future earnings response coefficients. This effect is stronger for firms with higher sales seasonality or operating in industries with lower earnings persistence and for firms that provide more voluntary disclosures of forward-looking information after the reporting frequency increase. We also find that investors increase (decrease) the weight on long-term (near-term) earnings when pricing the firm after the reporting frequency increase. Our findings suggest that more frequent mandatory reporting can enhance the ability of investors to predict future earnings by providing additional useful information on future earnings and by triggering more voluntary disclosures. Our study informs the ongoing policy debates on mandatory financial reporting frequency by highlighting the informational benefit of frequent financial reporting for investors.
Data Availability: Data are available from public sources identified in the paper.
JEL Classifications: G14; M41; M48.
Do Firms Withhold Loan Covenant Details?
Authors: Li Edward Xuejun , Neamtiu Monica , Tu Zhiyuan 
Published: February 2024

ABSTRACT
We study firms’ decisions to withhold loan covenant details by focusing on a unique disclosure-related cost. Prior research documents the prevalence of tight initial covenants that are selectively relaxed in future renegotiations. This uncertainty in renegotiation outcomes can generate a disclosure-related cost because disclosing a snapshot of initial covenants with a high likelihood of violation could lead to harmful outsider reactions (e.g., trade credit cuts) to violations that may be eventually cured. We hypothesize and find that, when firms are likely to face tighter initial covenants and more renegotiations, they are more likely to withhold covenant details, particularly when under pressure from trade creditors. Our inference is robust to controlling for firms’ obligation to disclose (i.e., contract materiality) and future performance. Prior research has found that the precise covenant details of many loans are not publicly available. We are the first to offer a systematic explanation related to disclosure costs.
JEL Classifications: M41; D82; G21; L14.
The Impact of Performance Reporting on Investment Behavior: Evidence from Disclosure Reform in the U.K.
Authors: Park Gitae 
Published: February 2024

ABSTRACT
I examine the real effects of a disclosure mandate that, with the aim of enhancing performance reporting, requires a subset of London Stock Exchange (LSE) firms to describe operational and strategic aspects of value creation, such as business operations and strategies, in their annual reports. Using an instrumented difference-in-differences design, I find that compliance with this initiative, evidenced by more disclosures of performance measures and commentaries relating to business operations and strategies, promotes intangible investments. My analysis of external and internal control systems suggests that enhanced performance reporting promotes investments because it attracts long-term investors and reduces CEO pay sensitivity to earnings performance.
JEL Classifications: D22; D82; O30; M41.
Stock Price Reactions to the Information and Bias in Analyst-Expected Returns
Authors: Loudis Johnathan A. 
Published: February 2024

ABSTRACT
I use a novel decomposition to estimate information and bias components from the returns implied by analyst price targets and provide evidence that prices simultaneously under-react to information and over-react to bias. Price reactions to information are permanent, and prices drift in the direction of their initial reaction for up to 12 months. Price reactions to bias are transitory, and prices reverse their initial reaction after about three months. Price reactions are relatively efficient. Approximately 85 percent of the total price reaction to information occurs during price target announcement months. Market participants are able to mostly (but not fully) debias analyst-expected returns before incorporating them into prices, with the announcement-month reaction to bias being relatively weak at about 15 percent of its reaction to information. A trading strategy analysis implies that mispricing induced by bias is only about one-third of that implied by prior research.
JEL Classifications: G12; G14; G40.
Banality of Transgender Performance in the Public Sphere: The Views of Religious Leaders and the Goverment from the Maqāṣid Al-Syarī’ah Perspective (a Case Study in Bone City)
Authors: Laura Riska Islamia , Hasan Hamzah , Kurniati Kurniati 
Published: February 2024

This study discusses the maqāṣid al-syarī'ah perspective on the views of religious leaders and the government regarding the performance of transgender women in the public space of the Bone district which is already at the banal stage (considered normal, normalized). This type of research uses descriptive qualitative field research with two approaches, namely normative theology (syar'ī) and phenomenology. The main data source was obtained from interviews with religious leaders and the government of Bone district. Observation, interview, and document study techniques are the data collection techniques used. The research results obtained from the interview session found that there were two main factors causing the banality of transgender performance in the public spaces of Bone district. First, the human rights factor. Second, the existence of the Bissu culture (transgender) as part of the Bugis history of Bone which has long been accepted by society. Based on the analysis of maqāṣid al-syarī'ah, these two factors are contrary to sharia (Islamic law). The position of human rights is not higher than the position of Shari'a, this is based on the order of al-ḍarūriyāt al-khams where the order of hifz al-nafs (care of the soul) is in second place under hifz al-din (maintenance of religion). Furthermore, the reason that the acceptance of transgender women that has been taking place for a long time, like acceptance of Bissu, cannot be accepted based on maqāṣid al-syarī'ah. Because it is clear in the Shari'a that harm cannot be allowed to go unpunished even though it is considered to have happened for a long time by most people. As the law of fiqh rules الضَّرَرُلاَيَكُونُ قَدِ يمً.
Keywords: Banality, Transgender, Maqāṣid Al-Syarī'ah
Examining the Problem of Kisas and Polygamy in the Context of Fiqh of Justice
Authors: Shuhufi Nadyatul Hikmah 
Published: February 2024

The correct application of Islamic law will provide security, peace and tranquility. Like kisas law and polygamy law include the values and principles of justice both conceptually and practically. The legal provisions must be understood correctly because they allow contextualization to occur which refers to the context of the times that are constantly changing. Then, this article is analyzed using the context of fiqh of justice. This resulting in the conclusion that kisas punishment can save lives, property, and human rights in general. While the polygamy law on the one hand is a solution to justice for family life in an emergency.
Keyword: Keywords: Kisas, Polygamy, Fiqh of Justice
Research on the denoising algorithm for hyperspectral images based on tensor decomposition and full variational constraints
Authors: Chen Chushen 
Published: February 2024

Abstract
In this paper, based on tensor decomposition, SSTV regular constraints are combined with low-rank 3D tensor for image denoising and the effect of the algorithm is enhanced by the augmented Lagrangian method to construct a hyperspectral image denoising algorithm based on tensor decomposition and full variational constraints. After the algorithm design is completed, image restoration is performed based on the use of objective evaluation, standard mean square error, and peak signal-to-noise ratio to test the specific effect of the algorithm. 2 sets of experiments were designed and analyzed the sensitivity of the algorithm parameters. The test results show that for the penalty parameter

μ
=
C
max

(

m

,

n

)

σ

\mu = C\max \left( {\sqrt {\rm{m}} ,\sqrt {\rm{n}} } \right)\sigma

, the optimal results are achieved when C=8 and K values are 13-15. The PSNR index of this paper's algorithm is always greater than 45 when the noise intensity is 0.025-0.1, the highest is 58.817, and the lowest is 45.837. The DN value of the image denoised by the algorithm floats 0.012-0.085 on the basis of the original curve, which is less than 0.1. The performance of the algorithm decreases as the noise becomes more and more complex, and the noise intensity of 0.1 finally drops to 45.837, but the output image is still clear.
The Use of Digital Media Arts in Animation Filmmaking in the Age of Digital Intelligence
Authors: Tang Linye 
Published: February 2024

Abstract
The development of digital media art has brought a broader application prospect for the production of digital animation movies. The incorporation of Digital Media Arts into Animation Filmmaking during the Age of Digital Intelligence The DTW algorithm is selected to temporally regularize and align the motion data of the animated character, and the motion model is downsized and optimized by combining with the PCA method, to obtain the motion sequence with the characteristics of the animated character itself. The multi-scale method is utilized to decompose the original motion data when combined with motion capture technology to establish a 3D motion database. Analyze the motion connection curves between different video clips and the generated animation data after and before motion modeling using the 3D motion database of broadcast gymnastics. Analyzing the drawing efficiency of virtual character models is done using an ordinary human character model with different voxel accuracy. Before the motion library modeling, the average joint error measured in degrees was 10.012°, as indicated by the data. The modeling procedure results in a reduction of the average joint error to 4.281°. The accuracy of animated character generation motion can be improved by using motion modeling. Character motion generation suggestions for animated movie production are provided in this study.
Innovative Development Strategies for the Integration of Industry and Education in Colleges and Universities in the Internet Era
Authors: Wang Lei 
Published: February 2024

Abstract
To cultivate more application-oriented talents needed in the market, this paper puts forward a series of innovative development strategies for the integration of industry and education for the government, schools, and enterprises. The indicators used to determine whether the integration of industry and education is good or bad are relatively complicated because it is a long-term and complex teaching mode. In this paper, we use hierarchical analysis to construct a reasonable and clear evaluation index framework and use the convolutional neural network algorithm to calculate the weight value of each index, to comprehensively reflect the impact of the mechanism of industry-teaching integration on students, schools, and enterprises. According to the results of the evaluation system, the weights of the indicator “school running form” and the indicator “employment rate of graduates” reach 0.71 and 0.43 respectively, which fully indicates that the mechanism of integration of industry and education promotes the transformation of several courses in the school, and also helps students to solve the problem of employment. Employment Problems. In addition, the global weight value of the indicator “training cost of new employees” is only 0.01, which greatly reduces the recruitment and training cost of enterprises through the integration of industry and education. Therefore, the convolutional neural network adopted in this paper can effectively calculate the weight value and judge that the innovative development strategy of industry-teaching integration is of great help to all three parties.
Research on the Logical Direction of Traditional Culture Inheritance and Promotion in the Internet Era
Authors: Wang Ni 
Published: February 2024

Abstract
China’s traditional cultural heritage is facing serious challenges under the impact of modern culture. The somatosensory interaction gestures for cultural relics are designed using the Kinect somatosensory interaction model in this paper. The appearance of virtual cultural relics can be designed and realized using a three-dimensional coordinate system. Combined with the method of digital projection, the interaction projection generated by the Kinect somatic interaction model is corrected by the geometric correction method, and the edge fusion algorithm is applied to correct and fuse the edges of the corrected virtual artifact appearance. Testing the effects of cultural inheritance and promotion in the 38 regions of the application is carried out through the application of the cultural relics interaction. According to the findings, the highest score for traditional culture inheritance among the 38 regions is 28.36, and four regions have inheritance scores above 20 points. In traditional culture promotion, the highest score region is close to 12 points, and the heritage interaction experience can make users feel the inherent culture of the heritage, which has a positive effect on traditional culture inheritance and promotion.
Analysis of the Technique and Morphological Language of Modern Painting Creation Based on Generative Adversarial Networks
Authors: Zhao Liang 
Published: February 2024

Abstract
With the development and progress of society, traditional painting creation techniques cannot realize the development needs of modern society for paintings, and it is necessary to constantly innovate and improve the painting creation techniques. Based on the structure of the generative adversarial network, this paper utilizes the one-dimensional midpoint substitution method and dichotomous method to generate the rock outline in painting creation and combines the generative adversarial network to establish the style migration model of modern painting creation techniques and morphological language. Unity was used to construct the validation dataset, and for the style migration of painting creation techniques, we verified it in terms of stroke curvature, FID value, and peak signal-to-noise ratio, and analyzed the evolution of painting creation techniques and morphology language. The results show that the difference in stroke curvature before and after the contour migration of painting creation techniques is 3.27, the peak signal-to-noise ratio reaches 25.43 dB, and the evolution of comprehensive painting in creation techniques is in an upward trend, with an average annual growth rate of 13.07% from 2012 to 2020. Generative adversarial networks can be used in modern painting creation techniques to increase the richness of paintings and establish a spiritual connection between painters and audiences.
Innovative Development of Enterprise New Media Communication Path in Mobile Internet Environment
Authors: Jiang An , Wen Ruiqi 
Published: February 2024

Abstract
In the Internet context, traditional media have gone online, and corporate new media urgently need to find a new communication direction. Establishing an innovative media communication path for enterprises in the mobile internet environment through innovative development. The decision-making optimization of corporate new media communication is based on the core objectives of minimizing the promotion cost of implanted online ads and maximizing the communication efficiency of implanted online ads. The multi-objective particle swarm optimization algorithm is used to construct the optimal decision-making model of media selection for corporate implantable online advertising, obtain the optimal solution of the model according to the objective function, and analyze the example of a corporate new media communication path. The results show that: guidance support (X4), basic positioning (X5), future layout (X6), and driving force (X1) have a significant positive influence on media functionality (Y2), and their explanatory power for implantable advertising functionality is 13.1%, 4.2%, 3.7% and 2.9% respectively, and implantable advertising functionality will become the key path of enterprise business expansion and operation mode, and functional differentiation also will become one of their competitiveness. The goal of this study is to combine new media marketing and traditional marketing to achieve complementary advantages and maximize the communication effectiveness of enterprises.
Study on the Effectiveness of Public Participation in Urban and Rural Grassroots Governance Based on a Big Data Platform
Authors: Ma Buguang 
Published: February 2024

Abstract
Urban and rural grassroots governance is the cornerstone of the modernization of national governance, and strengthening effective public participation is also the continuation and sublimation of the strategy of poverty alleviation. This paper utilizes gene structure for expression, constructs the RMUGS model, and then constructs a three-level retrieval algorithm based on the various levels of the model to analyze big data on the results achieved by public participation in urban-rural grassroots governance in Z town of Guangdong province. Town Z has been able to achieve good results in urban-rural grassroots governance, as shown in the data analysis results. Significant results have been achieved in the improvement of infrastructure, with the overall degree of improvement reaching more than 75%, and the highest improvement of public lighting reaching 90% of the degree of improvement. The number of people actively participating has gone up from 60.33% in 2020 to 77.95% in 2022, with general residents without positions experiencing the greatest increase. The above data analyzed by the RMUGS model clearly shows that public participation in urban and rural grassroots governance has a very high degree of effectiveness, which provides effective directions and ideas for future grassroots governance.
Designing an Athletic Training Assistance System under Deep Learning Guided by Kinesiology Theory
Authors: Chen Chen 
Published: February 2024

Abstract
The combined application of computer artificial intelligence technology and sports promotes the positive development of the sports industry. The combined application of computer artificial intelligence technology and sports promotes the positive development of the sports industry. After completing the model construction, the structure of the external limb sports training auxiliary machinery is designed, and the system structure of the sports training auxiliary machinery is constructed by combining the needs of sports training. The optimization of external limb sports training auxiliary machinery was achieved by performing and solving mathematical modeling of a single limb. The performance of the action recognition model and the sports auxiliary machinery is examined through experiments, in which the action recognition model based on deep learning in this paper has the best effect, which is 95.75%, and the loss values of the model after convergence are all below 0.2. In the empirical testing of the performance of the sports assistive machine, the obtained target trajectory tracking error is within ±3mm and ±2mm, respectively, and the performance of the deep learning-based action recognition model and the external limb sports training assistive machine is excellent, which can effectively help the sports training. The purpose of this study is to provide design direction and practical significance for the design of a sports training assistance system.
The Application of Virtual Reality Technology in Exploring Interests and Cultivating Personalities in Physical Education in Colleges and Universities
Authors: Lei Weibin 
Published: February 2024

Abstract
Virtual reality technology brings a series of changes to physical education. In this paper, Madgwick algorithm is chosen as the main algorithm of the human body attitude tracking system, which is widely used in the attitude solution of Jetlink inertial guidance system for its high accuracy and uncomplicated calculation. The use of forward kinematics is then utilized to capture and abstract the human body. To analyze its positive effects on students’ physical fitness, sports interest, sports technology mastery, and personalized development, the application of virtual reality technology is used in college sports teaching. The results show that in breaststroke exercise, there is a significant difference between the experimental group and the control group in physical fitness, lung capacity P=0.001<0.05, standing long jump P=0.032<0.05, sit-up P=0.030<0.05. There is also a highly significant difference in the change of the dimension of positive interest before and after the experiment, F=29.410, P<0.05, η
2
p = 0.231, which indicates that the degree of change of the dimension of positive interest over time has a significant difference. Over time, the degree of positive interest dimension fluctuates. In skiing, VR technology enables practitioners to provide good dynamic motion perception and promote better mastery of technical movements. Among the five indicators of personality development in tennis teaching, the P-values are all less than 0.05, which indicates that the use of virtual reality tennis teaching instruction can promote the personalized development of students.