bluuebunny/crossref_metadata_2025_split huggingface dataset:
La acción colectiva en las plataformas digitales
Authors: Bachoer Lucia 
Published: August 2024

El objetivo general de este trabajo es describir la participación y las percepciones de los trabajadores de reparto en plataformas en relación con la acción colectiva observables en las protestas, las organizaciones colectivas y la plataforma intermediación de vínculos (WhatsApp), en el Área Metropolitana de Buenos Aires durante el periodo 2020 – 2022. A su vez, el objetivo específico es identificar las valoraciones que los repartidores le asignan a la organización de la jornada de trabajo. A partir del desarrollo de una serie de perspectivas sobre la acción colectiva en el trabajo de reparto en plataformas a través de una metodología cuali-cuantitativa basada en encuestas y complementadas con entrevistas, se obtuvieron los principales hallazgos:

La flexibilidad y la autonomía horaria son las condiciones del trabajo en plataformas más valoradas por los repartidores. Si bien, se destacan valoraciones positivas sobre los beneficios que otorga el registro en la seguridad social, se manifiesta cierto temor a que ello pueda asociarse a una posible pérdida de la autonomía de disponer libremente de la jornada de trabajo.
La participación en la protesta y, más aún, en las organizaciones colectivas es relativamente baja por parte de los trabajadores. Sin embargo, se observa una importante cantidad de repartidores que le asignan un gran nivel de importancia a la existencia de una organización de trabajadores que los represente. Los motivos de esta existencia se vinculan a la mejora en los derechos laborales, en particular con la salud y la seguridad.
La plataforma intermediación de vínculos WhatsApp- se ha vuelto fundamental para el desarrollo del proceso de trabajo facilitando altos niveles de participación, promoviendo lazos de solidaridad entre compañeros y han jugado un papel relevante para promover la participación en la protesta.

El trabajo concluye que, uno de los grandes desafíos que tienen las organizaciones colectivas del sector es lograr enlazar el mantenimiento de la flexibilidad y autonomía de la jornada que ofrecen estas plataformas con las demandas por los derechos laborales
Revealing Gender Relations in Arab Society in the Film Barakah Yuqâbil Barakah Through a Literary Sociology Perspective
Authors: Asrina Asrina , Army Putri Athifah , Al Barqy Muhammad Musa 
Published: August 2024

يركز هذا البحث على مشكلة أنماط العلاقة بين الجنسين الموجودة في فيلم بركة يقابل بركة. وتعتبر مسألة العلاقة بين الجنسين في هذا الفيلم مثيرة للاهتمام ومهمة للدراسة لأن هذا الفيلم يستكشف عن العلاقة بين الجنسين ضمن الإطار الثقافي للمجتمع السعودي الذي يتطابق مع المجتمع الأبوي، ويقوم على الشريعة الإسلامية، ويحد بشكل كبير من مساحة حركة المرأة. طريقة البحث المستخدمة في هذا البحث هو الوصفي التحليلي بمنهج علم الاجتماع الأدبي وهو علم الظواهر الاجتماعية. ومصدر البيانات الأساسي هو فيلم بركة يقابل بركة لمحمود صباغ. تظهر نتائج البحث أن هناك عدة أشكال للعلاققة بين الجنسين في هذا الفيلم. الشكل الأول هو الهيمنة في العلاقة بين الجنسين، والشكل الثاني هو التبعية في العلاقة بين الجنسين، والشكل الثالث هو العلاقة المتساوية بين الجنسين. ومن جميع أشكال العلاقة الموجودة بين الجنسين في هذا الفيلم، يمكن أن يستنتج أن هناك مشاكل كبيرة في العلاقة بين المرأة والرجل في المجتمع العربي، وكانت العلاقة بين الجنسين في الماضي تعتبر أفضل مقارنة بالمجتمع العربي اليوم، وأن النظام القائم لا يدعم إقامة علاقة جيدة بين الجنسين، وأن هناك شرعية دينية فيما يتعلق بالعلاقة بين الجنسين.
Abstract
This article focuses on the patterns of gender relations depicted in the film Barakah Yuqâbil Barakah. The issue of gender relations in this film is intriguing and significant for research because it explores gender relations within the cultural framework of Saudi society, which aligns with a patriarchal system, is based on Islamic Sharia, and significantly restricts women's mobility. The research method used in this article is descriptive-analytical, employing the literary sociology approach, which is a study of social phenomena. The primary data source is the film Barakah Yuqâbil Barakah by Mahmoud Sabbagh. The research findings reveal several forms of gender relations in this film. The first form is dominance in the relationship between the sexes, the second form is dependency in gender relations, and the third form is equal gender relations. Among all the forms of gender relations depicted in this film, it can be concluded that there are significant issues in male-female relations in Arab society. Gender relations in the past were considered better compared to contemporary Arab society, and the existing system does not support the establishment of healthy gender relations. Additionally, there is a religious legitimacy concerning gender relations.
Kedudukan Peraturan Komisi Pemilihan Umum (PKPU) Dalam Tata Susunan Peraturan Perundang-Undangan Republik Indonesia
Authors: Sumanto Dedi , Nggilu Salahuddin 
Published: August 2024

AbstractPKPU was an implementing regulation of law, The position in this composition structure was equalized or aligned with Government Regulations which in theory and Law Number 12 of 2011 concerning the Formation of Laws and Regulations was called regulations that bring the orders of Law, it was just that PKPU more specific. So it can be concluded that the position of PKPU in the statutory arrangement was below the law which has the consequence that a lower level statutory regulation must not conflict with higher regulations (lex superior derogate legi inferior); The position of PKPU in the composition in the Legislation was under the law, that also has implications for the legal strength, the force of law applies a statutory regulation based on the force of law to apply philosophically, juridically, sociologically, and politically and both must meet these four requirements, it was concluded that the legal strength of PKPU Number 9 of 2016 based on the power to apply philosophically, sociologically and politically, while juridically there are elements that are not fulfilled, namely the element of complying with the form, type and material of content and the obligation to does not conflict with higher regulations.Â AbstrakPKPU merupakan peraturan pelaksana dari undang-undang maka kedudukannya dalam tata susunan dipersamakan atau disejajarkan dengan Peraturan Pemerintah yang dalam teori dan Undang-Undang Nomor 12 Tahun 2011 tentangÂ Pembentukan Peraturan Perundang-undangan disebut sebagai peraturan yang menjalankan perintah Undang-Undang, hanya saja PKPU ini lebih bersifat khusus. Maka dapat disimpulkanÂ kedudukan PKPU dalam tata susunan perundang-undangan adalah berada di bawah dari undang-undang yang mengandung konsekuensi bahwa suatu peraturan perundang-undangan yang lebih rendah tingkatannya tidak boleh bertentangan dengan peraturan yang lebih tinggi (lex superior derogate legi inferior);Â Kedudukan PKPU dalam tata susunan Peraturan Perundang-undangan berada di bawah undang-undang hal ini pun berimplikasi pada kekuatan hukumnya, kekuatan hukum berlaku suatu peraturan perundang-undangan berdasarkan kekuatan hukum berlaku secara filosofis, yuridis, sosiologis, dan politik dan peraturan perundang-undangan yang baik harus memenuhi keempat syarat tersebut, maka disimpulkan bahwa kekuatan hukum PKPU Nomor 9 Tahun 2016 didasarkan atas kekuatan berlaku secara filosofis, sosiologis dan politik sedangkan secara yuridis ada unsur-unsur yang tidak terpenuhi yaitu unsur keharusan kesesuaian bentuk, jenis dan materi muatan dan keharusan untuk tidak bertentangan dengan peraturan yang lebih tinggi.
STRATEGI PEMBELAJARAN BAHASA ARAB MENGGUNAKAN MODEL PEMBELAJARAN TEMATIK
Authors: Qatrinnada Auia , Suparmanto Suparmanto , Hariadi Dedi , Abdiana Aulia , Lutfiana Fira 
Published: August 2024

As we know that learning will not be optimal if there is no learning strategy because the learning strategy is an operational method, it will include the style that the teacher uses in composing lessons, the arts that are displayed by the teacher in the learning process as well as facilities and media in various forms for the learning process, and Learning strategies can be a major factor in the success of language learning.One example of in supporting Arabic learning, the thematic model is one solution. The curriculum K- 13 at the elementary school level gives birth to an eye that is mixed into a single unit, namely thematic. Learning Arabic thematic model is a method that refers to the themes in the environment around students. And the thematic learning aims to develop the competence of attitudes, knowledge, and skills of students. Especially in learning Arabic, it can create a comfortable and pleasant classroom atmosphere, build cohesiveness with each other such as forming cooperative groups, collaborations, study groups, can encourage students to solve problems, Learners can quickly and timely obtain information. In carrying out learning with the thematic model, it must be in accordance with the principles and foundations in accordance with what has been described based on the socialization of the 2013 curriculum provided by the Ministry of Education and Culture.
Application and optimization of deep learning in the credit score of auto finance
Authors: Wang Zhan 
Published: August 2024

Abstract
In this paper, a credit scoring integration model incorporating BRNN is used to study the credit scoring problem in automobile finance. Aiming at the problems of existing credit scoring models constructed with shallow architecture and the unidirectional limitation of RNN itself, this paper introduces a BRNN model that superimposes RNN models in two directions. The potential relationship between each credit feature is mined through logistic regression, extreme gradient boosting tree, and bidirectional recurrent neural network algorithms, and the final prediction output is linked to the customer’s overall credit to improve the prediction accuracy. In this paper, we study the application of a credit scoring model based on the improved BRNN model for an auto finance company. Data preprocessing techniques and feature screening methods are used to improve the BRNN model and construct the credit scoring model for auto finance at Company A. The BRNN model is the basis for Company A’s credit scoring model. Based on the comparison with other models, it is concluded that the automobile finance credit scoring IBRNN model constructed based on the improved BRNN model in this paper has an accuracy of 89.6% in classifying the user finance data of Company A on different datasets, which is a significant improvement compared with the other five models.
Optimization Path of Innovation and Entrepreneurship Ability of College Students in the Context of High-Quality Development
Authors: Zhang Shumin 
Published: August 2024

Abstract
Studying the influencing factors of college students’ innovation and entrepreneurship ability is crucial to optimizing the innovation and entrepreneurship of college students in the context of high-quality development. Based on this, this paper constructs an SEM structural equation model and improves the convergence of the PLS algorithm using the least squares solution and optimal iteration initial value for the PLS algorithm in the SEM model. Then, the correlation analysis is done between six influencing factors, such as national policy, birthplace, and entrepreneurial activities, and college students’ innovation and entrepreneurship ability, and finally, the hypothesis of the influence of innovation and entrepreneurship ability is verified by the SEM model test. The main results are as follows: this paper constructed a model of influence factors on college students’ innovation and entrepreneurship ability, with five levels and 18 factors, and ranked their importance. The SEM model’s fit coefficient of 0.927>0.9 is a sign of a high degree of fit in the structural equation model. The regression coefficients of the five dimensions calculated according to the SEM model are 0.781, 0.939, 0.243, 0.935, and 0.839. All five dimensions have a significant positive impact on innovation and entrepreneurship. This paper finds that there is a positive correlation between college students’ innovation and entrepreneurship ability and national innovation and entrepreneurship policy, place of origin, entrepreneurial activities, education, and internship experience, and constructs the optimization path of college students’ innovation and entrepreneurship ability.
Exploring the Key Issues and Practical Paths of Modernizing the Governance of Vocational Education for Deep Learning
Authors: Lin Sike , Chen Jinwei 
Published: August 2024

Abstract
Deep learning algorithms are widely used in various fields due to the increasing popularity of education modernization, and the Ministry of Education has expressed a requirement to apply these algorithms to the governance of education in vocational schools in order to strengthen their teaching management. This paper constructs a student portrait model based on an improved K-means algorithm to monitor and analyze students’ daily behaviors. Firstly, we collect and integrate data from various sources. The dataset was preprocessed using data preprocessing methods, including data cleaning, data transformation, and data normalization. The Canopy algorithm was used to determine the number of clusters, and the number of clusters and cluster centers obtained by the Canopy algorithm were used as input parameters for the K-mean algorithm. The Maximum Minimum Distance algorithm was used to select sample points as far as possible for the K-means algorithm. Finally, we verify the effectiveness of the improved clustering algorithm and analyze the two dimensions of students using it. The findings show that students of type I in the learning behavior-oriented clustering visited the library an average of 22.54 times a month. There are a small number of students who spend more time online, averaging 48.45 hours per month. The majority of students’ categorical data and real-life learning behaviors coincide. This provides a basis for vocational school educators to optimize decision-making and teaching methods, indicating that the model in this paper is applicable to modern vocational education governance.
Research on Information Modeling Technology of Assembly Building for Future Trends
Authors: Xu Lili , Wang Lin 
Published: August 2024

Abstract
In recent years, the informatization technology of BIM and digital twin has been applied to the field of assembled buildings, especially the advantages of BIM technology applied in the construction industry are gradually emerging. Therefore, this paper takes assembly building as the object and cost control as the purpose of conducting research. Firstly, it introduces the application of BIM technology in assembly building, and secondly, the collision process in BIM technology is optimized by the MLS-MPM algorithm. Economic benefit analysis is carried out on the informative modeling of BIM technology in assembly building, and finally, the constructed model is applied to the basement design stage, the construction production and transportation stage, and the construction stage to evaluate its project benefits. The results show that on the basis of Revit software modeling, the Revit model was imported into Navisworks, and a total of 619 collision points were found in the basement. It is found that the collision results of pipe diameters below DN50 have little impact on the actual construction; pipe diameters above DN50 have a great impact on the elevation in the actual construction, which requires collision detection and drawing modification. The analysis of the economic benefits of information technology modeling in assembly buildings found that it can create benefits of up to 50,200 yuan during the design phase. The build production and transportation phase results in the creation of 58,800,000yuan in benefits. Optimizing schedule and cost control leads to 36,000 yuan and 13,500yuan benefits in the construction phase, respectively. This study is very important to provide a reference for the application of information technology in assembly buildings for future trends.
A Study on Semantic Classification of Guangxi Ethnic Folk Dance Movements Incorporating Deep Learning
Authors: Zhang Zhengwu 
Published: August 2024

Abstract
In recent years, the development of Guangxi’s national folk dance has been on the rise and has gained much attention. The research of Guangxi’s national folk dance is currently in a booming period. The research is based on deep learning theory, using stack denoising autoencoder and convolutional depth Boltzmann mechanism to build a SdAE-CDBM model for dance movement classification. The dance movements are recognized and detected by using feature mining and extraction of dance movements in Guangxi folk dance videos. The SdAE-CDBM model of this paper is compared with other classification models in terms of semantic classification accuracy of dance movements to explore the classification performance of the SdAE-CDBM model proposed in this paper. The average F1 values of the SdAE-CDBM model in the classification of the seven types of dance movements are 86.77%, 88.54%, and 90.18%, respectively, which are the maximum values among the movement classification models. The SdAE-CDBM model was able to achieve the highest classification accuracy and the fastest classification convergence speed among all classification models. When it comes to classifying dance movements semantically, the SdAE-CDBM model achieves a classification accuracy of 70.28%, which is significantly superior to other classification models. The SdAE-CDBM model in this paper is highly effective in the semantic classification of dance movements, as evidenced by this.
Research on Fine Cost Control of Civil Engineering Works Supported by Building Information Modeling
Authors: Zhan Xiaoping 
Published: August 2024

Abstract
The problems of cost control in the development process of the construction industry are endless, and cost control, as a core task in the process of project management, has a decisive role in the realization of project economic benefits. This paper combines the DEMATEL method and WBS work breakdown structure to screen and decompose the factors affecting cost under the cost control theory. Then, BIM5D technology is introduced to construct a refined cost control model based on the combination of the earned value method and BIM technology, in which the BIM-5D model can become its grassroots database and combined with the earned value method to provide the basic data for cost monitoring, cost early warning, cost correction and cost prediction, to realize an effective and refined control of costs. The case study shows that enterprise infrastructure, human resource management, internal logistics, procurement and bidding, cooperative and competitive relationships, technology development, project construction, completion and acceptance, and subsequent maintenance services all affect civil engineering costs. The control method can effectively control the construction progress and cost status, can play a good effect on the schedule-cost synergistic control, and provide support for the project management decisions of the constructor in the construction stage.
Demonstration Application of Adaptive Intelligent Monitoring and Analyzing System for Distribution Networks Based on Distribution OCS System and Multiple Data Fusion
Authors: Huang Yusong , Zhou Zhongqiang , Ma Jianwei , Liang Ling , Wan Huijiang 
Published: August 2024

Abstract
Electricity is a matter of national livelihood, and monitoring the operation status of the distribution network is an effective means to improve the quality of electricity service. In this paper, we design a distribution network intelligent monitoring and analysis system based on the distribution network OCS system, so as to realize real-time monitoring of the operation status of the distribution network. The system processes the collected three-phase current, three-phase voltage, and other multivariate data through the multivariate data fusion processing technology and adopts the adaptive weighted fusion algorithm based on the t-test criterion to eliminate the coarse error values and enhance the data fusion effect. The software and hardware facilities of the distribution network intelligent monitoring and analyzing system are designed with the distribution network OCS system as the core, and the functional modules such as power data calculation, reactive power compensation, and intelligent protection are designed according to the requirements of practical applications. In practical application, the intelligent monitoring and analysis system for distribution networks described in this paper can successfully monitor electricity load, reactive power compensation, and other conditions in the townships in area A. The system can be successfully used to monitor the electricity load and reactive power compensation of the townships in area A. After the application of the system, it accurately determined 10 faults, promptly located the fault points, and isolated the faults automatically. The cost saving of only part of the project after the use of the system amounted to RMB 912,100, and at the same time, it greatly improved the satisfaction level of the users in the distribution network.
Research on Building a New Mode of Civic and Political Education by Image Recognition Technology for Popularizing Socialist Core Values
Authors: Liu Bin 
Published: August 2024

Abstract
Given the current state of ideological education in colleges and universities, we propose leveraging image recognition technology to foster innovation and digital advancement in this mode of education. The weighted average method is used to greyscale the video images of students’ classrooms, and after binarizing the images using the OTSU algorithm, interference factors are avoided by denoising and angle correction. We combine the motion history image (MHI) and HOG features to create a new feature that depicts Civics classroom behavior. The SVM classifier then performs the classification of classroom behavior, ultimately constructing the Civics classroom behavior recognition model based on HOC+MHII+SVM. This paper’s model and research data are combined to conduct an example analysis of Civics education in colleges and universities. It can be concluded from the analysis that, in the case of simultaneously adopting SVM for recognition and classification, it is found that HOC+MHI feature fusion has a more significant effect on classroom behavior recognition than FPN+Multi-layer CBAM, and the difference of its various indexes is maintained within the range of 0.01~0.08. In addition, the experimental group has a significant difference relationship in the four dimensions of demonstrating the concept of honor and shame, the concept of national development, the value of development, and the value of society, P<0.05. This study provides theoretical references for research on the innovation of the ideological and political education model and is conducive to the promotion of cultivating the formation of students’ socialist core values.