bluuebunny/crossref_metadata_2025 huggingface dataset:
New Paraguayan records of Xenarthra with a review of the species present in Neembucu department
Authors: Smith Paul , Ayala Jorge , Smith Rebecca L. , Cronin Barry , Barrios Felix , Narvaez Hector , Zickgraf Olivia , Resquin Juan Jose , Fuentes Armadans Claudio , Rios Sergio D.
Published: February 2024

This article provides an update of the distribution of the Xenarthra fauna of Paraguay. Tamandua tetradactyla is confirmed to occur in all Paraguayan departments. New departmental records of Myrme-cophaga tridactyla are reported for Neembucu, Paraguarí, and San Pedro. Dasypus novemcinctus is reported for Neembucu department for the first time. Two previous species (Dasypus hybridus and Cabassous tatouay) considered to occur in Neembucu department based on specimens in the Basel Natural History Museum are now considered doubtful. A public interest in reports of Myrmecophagidae in Paraguay is noted and it is suggested that it could be utilized to benefit the conservation of these species in the Oriental region, where both species are rarely encountered.
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

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

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

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.
Ectopic Testicular Torsion: About 2 Cases
Authors: R Safwate
Published: February 2024

Cryptorchidism is developmental defect in which a testis or both testes failed to descend from high in the abdomen to the bottom of the scrotum. Testicular descent is essential to normal spermatogenesis which requires temperature lower than the body temperature. We report two patients consulted for inguinal pain and were diagnosed with torsion of the spermatic cord on undescended testicle. The first consulted late and had a necrotic testicle, the second consulted on time and operative exploration found a viable testicle.
Traumatic Renal Artery Injuries: A Comprehensive Case Study Analysis
Authors: S Bouras
Published: February 2024

Post-traumatic renal artery injury is a rare yet critical complication following trauma, potentially leading to severe renal damage and functional loss. We present three cases of post-traumatic renal artery injury resulting in renal ischemia due to late diagnosis. Of particular note is that the interval between the first patient and the third is only three months, occurring at a time when such lesions are rarely observed. These cases, all involving young male individuals, highlight the challenges of prompt identification and timely intervention in such injuries. Delayed diagnosis hampered attempts at surgical revascularization in all cases, and our hospital lacked resources for percutaneous revascularization procedures. Despite efforts to manage these injuries conservatively, the success rates of surgical revascularization have been limited, leading to recurrent thrombosis. This has prompted the medical community to reconsider the approach to managing these injuries, with emphasis on non-operative methods and less invasive alternatives, particularly in the presence of a functioning contralateral kidney. However, determining the optimal management strategy remains elusive due to insufficient evidence regarding the efficacy of various approaches. Urgent management of renal artery injuries aims to preserve kidney function and mitigate secondary complications, such as renovascular hypertension. Long-term follow-up revealed varying outcomes among these patients, emphasizing the complex nature of managing post-traumatic renal artery injuries
Influencia del Capital Intelectual y Tecnologías de la Información en el Rendimiento de Pymes zona centro de Tamaulipas
Authors: Macías-Linares Blanca Rosío , Ábrego-Almazán Demian , De la Cruz-Maldonado Juan Carlos
Published: February 2024

El objetivo de esta investigación fue el de evidenciar empíricamente cómo el control percibido en tecnologías de la información influye en su capacidad de uso y esto en conjunto con el capital intelectual en el rendimiento empresarial, para enfrentar la problemática de alta mortandad empresarial. Para ello se aplicaron 108 cuestionarios a contadores, propietarios y gerentes de Pymes de la zona centro de Tamaulipas México. Se utilizó la técnica de ecuaciones estructurales por el método de mínimos cuadrados parciales (PLS-SEM) para el análisis de datos. Los hallazgos confirman que el capital intelectual afecta positivamente al rendimiento empresarial, siendo el capital humano el factor con mayor aporte a través de las habilidades y experiencia de los empleados; también se detectó una alta capacidad percibida de los empleados sobre el uso de tecnologías, principalmente en el uso de internet y sistemas de información, sin embargo, esta autoeficacia no se aprovecha al máximo debido a la baja implementación de uso de TI en las Pymes analizadas.
Analysis of The Contention of Religious Ideology and Halal Industry in Social Media about Halal Logo Rebranding
Authors: Saidi Saidi , Sazali Hasan
Published: February 2024

The Halal Product Guarantee Agency (BPJPH) halal logo design has pros and cons for Indonesian Muslims in terms of Arabic calligraphy, the shape of the halal logo, which resembles a wayang, and a total change from the previous halal logo of the Indonesian Council of Ulama (Majelis Ulama Indonesia). This research aims to analyze the phenomenon of the halal industry in Indonesia in the context of the contention between religious and industrial ideologies on social media, focusing the study on the controversial rebranding of the halal logo. This research uses a qualitative analysis method with a mass communication and political science approach to understand the substance and objectives of the various parties involved in the halal logo controversy on social media. This research indicates that a total change of the halal logo is not urgent in improving the quality of halal product guarantee services in Indonesia. The BPJPH halal logo design prioritizes artistic expression rather than Halal writing in Arabic as a sign that the product is "Halal," so it is difficult to read as a "Halal" sign. The essence of the halal logo is that it is a sign that the product has been certified halal by BPJPH so that the certainty of halal writing is easier and quicker for consumers to understand.
Data Privacy Protection in Islamic Communication Perspective
Authors: Saidah Musfiah , Maylaffayza Hilya
Published: February 2024

Technology development brings many conveniences, but on the other hand, it also provides challenges, such as data security. The phenomenon of hacking personal data that ends in fraud and other crimes seems to be evidence. Technology in the era of society 5.0 was rising to facilitate human work, but it is used to misuse big data from the individual level. Social media provides opportunities for open privacy by revealing confidential personal data. In addition to requiring self-control, it also requires security and data protection. This research aims to analyze the phenomenon of data theft in the context of Islamic communication with solutions obtained from the perspective of the Qur'an. The method utilized is qualitative research through literature study using a constructivist paradigm. The results of this study revealed that internal and external factors caused data theft. The ability to filter information and information literacy in the digital space, maintain ethics in the media space, integrate roles between government and society, and protect digital communication from the perspective of the Qur'an have a positive effect on information preservation in the digital realm. In addition, continuous integration between the government and the community is also needed to overcome the rife data theft problem.
Reconfiguring education and research in the European Higher Education Area
Authors:   Faculdade de Psicologia da Universidade do Porto, Magalhães António , Veiga Amélia ,   Faculdade de Psicologia e Educação da Universidade do Porto
Published: February 2024

The objective of this paper is to contribute to the understanding of the reconfigurations of education and research within the European Higher Education Area. While higher education systems and institutions are pointed out as key to competitively positioning Europe in the global context, the articulations between education, research and innovation are reconfigured. Based on discourse analysis, the articulations between nodal points - education, research and innovation - associated with the discourses on mobility and employability, made visible the weight of innovation promoted by economic policy drivers. The analysis challenges the relevance attributed to innovation and its major economic prospects as it hinders the broader educational and social potential of the political achievements of European Higher Education Area related to mobility and employability.
Madureira, M. (2017). Escola Superior de Enfermagem de São Vicente de Paulo Uma História ao serviço da Formação
Authors:   Universidade Católica Portuguesa, Figueiredo Amélia Simões , Rabiais Isabel ,   Universidade Católica Portuguesa
Published: February 2024

Recensão crítica do livro de Madureira, M. (2017). Escola Superior de Enfermagem de São Vicente de Paulo Uma História ao serviço da Formação. Lisboa: Universidade Católica Editora.
De buen padre a buen vecino: la espacialización del ethos empresarial regiomontano
Authors: López Feldman Aarón Benjamín
Published: February 2024

Esta nota de investigación tiene como objetivo presentar una problematización teórico-­metodológica de un proyecto urbano: el llamado Distrito Tec, en Monterrey, Nuevo León. Para realizar esta problematización es necesario romper epistemológicamente no sólo con el objeto pre-construido desde las narrativas legitimadoras del proyecto Distrito Tec y de la ciudad como escala obvia, sino también con los conceptos fetiche (gentrificación, acumulación por desposesión) que se han convertido, para las ciencias sociales, en lugar común académico. Desde esta perspectiva, el Distrito Tec puede entenderse no como un proyecto de “regeneración urbana”, sino como parte de las estrategias históricas de reproducción social de la élite empresarial local, en específico mediante la espacialización de su ethos y de la actualización de sus prácticas paternalistas.
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
Financial Bootstrapping and Financial Literacy: The Moderating Role of Government Support on SME Performance
Authors: Parmitasari Rika Dwi Ayu , Indriyani Eka , Rusnawati Rusnawati , Farild Miftha , Efendi Widya , Adawiah Arabiatul
Published: February 2024

SMEs can support long-term, stable, and sustainable economic development. However, funding, limited information, and lengthy credit administration procedures constantly severed their expansion. Potential solutions may emerge from external funding in creative and unconventional ways through financial bootstrapping. This study analyzes the influence of financial bootstrapping and financial literacy on SME performance using P2P lending in Makassar, Indonesia, with government support as mediation. Government support as mediation is expected to provide policies that facilitate SMEs obtaining external funding through fintech P2P lending to improve SMEs' business performance. This study employs a partial-least-squared structural-equation model (PLS-SEM) for data analysis of 220 businesses. The result shows that financial literacy significantly affects SME performance. This positive effect emerges in direct or mediated relationships. Financial bootstrapping does not substantially affect SME performance. This finding signifies the lack of information regarding the myriad of funding opportunities.
Models of Ethical Marketing Force in Indonesian Islamic Bank
Authors: Zubair Muhammad Kamal , Nasuka Moh
Published: February 2024

This research illuminates the ethical standards governing marketing professionals within the Islamic banking sector, focusing on discouraging unethical practices for personal gain. We objectively depict the prevailing ethical landscape using field research and descriptive methodologies. Our investigation reveals that the largest Islamic Bank in Indonesia, Bank Syariah Indonesia (BSI), has instituted a comprehensive ethical framework for its marketing personnel. This framework transcends mere guidelines, embodying an ethos deeply ingrained in their professional conduct. Marketing strategies, underpinned by Islamic ethics, are guided by the tenets of faith: Shiddiq (honesty), Amanah (responsibility), Fathanah (wisdom), and Tabligh (communicative). This study offers a unique insight into the ethical marketing practices within the Islamic banking industry, contributing to the discourse on ethical standards in financial services marketing.
Research on the denoising algorithm for hyperspectral images based on tensor decomposition and full variational constraints
Authors: Chen Chushen
Published: February 2024

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

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

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

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

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

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

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

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

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.
A Study of Music Education Curriculum Design and Evaluation from a Constructivist Perspective
Authors: Wu Wenjing , Tham Jacquline , Khatibi Ali
Published: February 2024

Music education is of great significance in the cultivation of high-quality talents, but currently there are problems such as music education is not emphasized and the quality being poor. Aiming at this situation, this paper designs a music education program using constructivist theory. At the same time, to explore the teaching effect of the designed music course, the data are analyzed to confirm the public factors by combining KMO, Bartlett method, and factor analysis model, adjusting the weights of teaching indexes based on the public factors and K-Means clustering analysis, and evaluate and analyze the teaching data. The model was applied to teaching evaluation to explore the effects of the designed music course in terms of overall classroom feedback, teaching effectiveness, and evaluation of indicators. Teacher-student interactions were more frequent in the 5-45-minute classroom, the average score of students in the experimental class in the area of interest inquiry was 11.275, which was higher than that of the control class, which was 8.035, and students in the experimental class achieved an overall score of 84.06 and 91.28 on the music exam, while the control class only scored 42.73 and 55.21. Meanwhile, the analysis found that the average evaluation score of students on the content indicators was 78.02, and the rating of some classes reached 92.84. The use of constructivist design in the music teaching classroom can enhance students’ understanding and perception of music, and enhance the efficiency of music learning.
Exploring the Teaching Reform of Music Appreciation Course in Polytechnic Institutions Combined with Students’ Memory Characteristics
Authors: Yue Han
Published: February 2024

With the development of the times, the cultivation of students’ comprehensive ability has been widely emphasized, among which the cultivation of music appreciation ability is more and more important. The purpose of this paper is to develop a framework for a multi-intelligences music appreciation ‘immersion’ teaching mode, which is based on the teaching reform of the music appreciation course. Our process involved collecting and pre-processing data related to music emotion, extracting music emotion features, and building a model for music emotion appreciation using long and short-term memory networks. The construction of a multi-featured memory network knowledge tracking model involved cross-fertilizing students’ responses to music appreciation difficulty and ability. Through the effect test of the memory network knowledge tracking model and the practical analysis of music appreciation curriculum reform, it can be seen that the average effect of the knowledge tracking model proposed in this paper is higher than that of the traditional knowledge tracking model by 0.15~0.21. The total score of the experimental class’s music appreciation ability is 10.21, while the control class’s score is 7.78, and the experimental class based on the teaching music appreciation curriculum of multiple intelligences is higher than that of the control class by 2.43%. This paper provides a reform direction for the teaching reform of music appreciation courses based on the multiple intelligences music appreciation teaching program, which is of practical significance for the development of music appreciation teaching.
Exploring the Flux of Cherry Blossom Imagery in Japanese Literature and Culture by Combining Social Network Analysis Methods
Authors: Han Meizi
Published: February 2024

This paper combines the LDA theme mining model with social network algorithms to construct an objective evaluation model for the imagery of cherry blossoms in Japanese literature and culture. To determine the number of topics, one needs to observe the change in perplexity degree for various numbers of topics. The degree of influence of surrounding nodes on this node is measured using in-degree and out-degree, and the degree of closeness between users in social networks is measured using the clustering coefficient. Based on the network data, we analyzed Japanese literary works related to cherry blossoms and readers’ comments on related literary review websites, followed by analyzing the rate of microblog retweets when a hot literary work was published to determine the theme density. In the beginning, Topic 1, which represents positivity, has the highest theme intensity of 0.2581, indicating that the imagery of cherry blossoms is skewed toward the positive in the minds of readers and netizens. Following the emergence of hot literature, the spread of Topic2, which is associated with negativity, reached its peak, with a density that reached as high as 2235721 times. At this time, the highest high-frequency words are death 5827 times, and poignant 5748 times, all of which are negative meanings, and the theme intensity of Topic 2 is 0.2992. The impression of people can be negatively impacted by cherry blossoms. By constructing a model for literary analysis of imagery, this paper serves as a reference and presents a new direction for textual research.
Design and Innovative Methods of English Teaching Tutorials in the Context of the Information Age
Authors: Zhou Lili
Published: February 2024

In this work, the problem of teaching English in colleges and universities throughout the information age is addressed by using augmented reality (AR) technology to finish designing the teaching activities and objectives. It establishes the English teaching evaluation index system, uses the Hummingbird optimization algorithm to optimize the convolutional neural network’s parameters, and builds the English teaching quality evaluation model based on this optimization. We assess students’ happiness and their capacity for autonomous learning in English instruction in the information era by statistical analysis, and we investigate novel approaches for English teaching tutorials in the information age. The results show that, in terms of overall satisfaction with English teaching, freshmen students have the highest level of satisfaction with the three phases of English teaching, with values of 216.71, 215.36, and 218.13, and sophomores have the lowest level of satisfaction, with values of 137.41, 133.01, and 138.76, indicating that there is a difference in student satisfaction by grade level. Establishing goals and monitoring the use of strategies were highly correlated with teacher support (P=0.534, 0.554 >0.5), which indicates a significant correlation between teacher support and students’ ability to learn English independently. This study can have a positive impact on the creative impact of teaching English in colleges and universities and successfully promote innovative transformation of the teaching mode.
Analysis of Risk Characterization and Identification Techniques for Electricity Spot Settlement Based on Multilayer Perceptron Machine
Authors: Duan Ruiqin , Zhu Xinchun , Liu Shuangquan , Li Xiufeng , Shao Qizhuan , Wu Yang
Published: February 2024

In this paper, the structural characteristics of the perceptron neural network and the calculation method of the hierarchical relationship of the MLP neural network model are first studied. Then the aspects of two-part settlement, generation-side settlement, and customer-side settlement in the electricity spot settlement mechanism are studied, and the importance of these mechanisms for the operation of the electricity market and risk identification is pointed out. Following that, the effectiveness of the risk identification model is assessed and analyzed. This paper examines market performance indicators, the impact of the dual-track mechanism, and the time characteristics of the price index to characterize risk. The results show that in Guangdong, for example, the price in the day-ahead market is much higher than the supply-demand equilibrium price most of the time, and the maximum difference can be as high as 0.662 yuan/(kW-h). For the entire month, the real-time market’s average price is RMB 0.546/(kW-h) and it is RMB 0.063/(kW-h) higher than the day-ahead market. The importance of this study lies in its role in managing and responding to risks for electricity market operators and participants.
Relationship Between Length and Weight and Habitat Conditions of Several Fish Species in Tondano Lake, Minahasa, North Sulawesi
Authors: Sipayung Rosenta , Lawalata Helen Joan , Setyawati Iriani , Rawung Livana Dethris , Djarang Rievo Handry
Published: February 2024

The snake-head gudgeon or payangka fish (Ophieleotris aporos), tilapia fish or mujair (Oreochromis mossambicus), and marble goby or betutu fish (Oxyeleotris marmorata) are economically important fish in Lake Tondano. However, numerous community activities can disrupt aquatic biodiversity, declining Lake Tondano environmental conditions, and other factors. This study aimed to determine the relationship between length and weight and the habitat conditions of Ophieleotris aporos, Oreochromis mossambicus, and Oxyeleotris marmorata. The method used in this study was purposive sampling with research stations located at Remboken (station 1), Kakas (station 2), and Tondano Estuary (station 3). Sampling was carried out 5 times in every 10 days. The weight and length of the fishes caught in Lake Tondano were 2-60 g and 1-8 cm (Ophieleotris aporos); 9-180 g and 6-25.5 cm (Oreochromis mossambicus); and 16-30 g and 2.6-26.5 cm (Oxyeletotris marmorata), all of them have an allometric growth pattern. Oreochromis mossambicus is the most commonly caught fish in all research stations. The research station with the best level of water fertility is Remboken Station. The habitat characteristic of Lake Tondano was 25-290C of water temperature; brightness of 1.34-2.66 m; depth of 4.23-11.8 m; pH of 6.7-7.8; and dissolved oxygen of 2.27-6.31 mg/L, which still supports the well-being of the fish.
Suitability of Mangrove Forests for Sustainable Tourism
Authors: Kevin Ewaldo  , Mahawan Kurniasa  , Noverita Dian Takarina
Published: February 2024

The Pantai Indah Kapuk (PIK) Mangrove Ecotourism is in DKI Jakarta Province. It can develop into sustainable tourism because it has good natural conditions and an easy-to-reach location. This research aims to determine the suitability index of mangrove forest tourism for sustainable tourism development. This research was conducted from February to March 2023. The method used in this research is a quantitative descriptive method. This study has two observation points to determine the thickness, density, type of vegetation, and biota objects. The results showed that this location has the potential to be used as a tourist attraction. It is supported by the value of the tourism suitability index for each research station of 68.7% at the first observation station and 62.5% at the second observation station. Rhizphora apiculata species dominate the composition of the mangrove vegetation in this location, with a density of 850 trees/ha. The thickness of the mangrove at this location is 60.4 m at the first station and 64.1 m at the second station. The biota objects found at the observation point were fish, mollusks, reptiles, and mammals. Overall, this research location is suitable for tourist attractions and can be developed to become more sustainable tourism. However, several efforts are needed to improve this suitability, such as mangrove forest rehabilitation and cooperation from various stakeholders.
Maximising Productivity through Employee Motivation
Authors: Edward Augustine Benjamin Affainie  , Abubarker Qutieshat
Published: February 2024

The paper provides a comprehensive examination of research on how to enhance productivity in the workplace by motivating employees. First, the paper introduces the concept of employee motivation and its impact on output. The article then delves into several theories, including Maslow's hierarchy of needs, Herzberg's two-factor theory, and expectation theory, to better understand what motivates workers and how these factors can increase employee engagement. The paper also discusses various approaches and practices that have proven effective in boosting morale and productivity in the workplace. These include goal-setting, rewards and recognition, and employee participation in decision-making. Furthermore, the paper highlights the importance of strong leadership in fostering an inspiring workplace. Leaders play a crucial role in establishing the direction, communicating it clearly, and promoting an environment that encourages teamwork and constructive criticism. In addition, the paper summarizes studies that have examined the efficiency of different forms of motivation. The results suggest that proper goal setting, feedback, and appropriate rewards and recognition significantly benefit employee motivation and performance. The paper stresses the need for regular assessment and improvement of incentive strategies to ensure their long-term efficacy. The paper concludes by pointing out specific gaps in the existing literature and offering suggestions for further study. Given the significance of teams in contemporary businesses, the study suggests that more research is needed on team-level motivation than has been conducted.