bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relevansi Pemilihan Kepala Negara Di Indonesia Dalam Konsep “Imamah” Imam Al-Mawardi
Authors: Nimah Rodhotun , Fatimah Siti 
Published: August 2023

Seiring berkembangan zaman serta pola pikir manusia, muncul gagasan membentuk dan memilih kepala negara adalah sebuah kewajian. Di era reformasi negara republik Indonesia yang yang menganut prinsip demokrasi dalam undang-undangnya mengamanahkan pemilihan Presiden dan Wakil Presiden langsung oleh rakyat, Yang sesuai dengan pasal 6A ayat (1) Undang-Undang 1945. Dalam rahan politik islam memilih seorang pemimpin adalah wajib kifayah. Sehingga dapat kita komperasikan relevansi pemilihan kepala negara di Indonesia dengan konsep imamah menurut alMawardi seorang tokoh politik Islam. Apakah konsep pemilihan kepala negara di Indonesia selama ini memiliki relevansi terhadap konsep pemilihan kepala negara dalam Islam khususnya dalam konsep “Imamah” menurut imam al-Mawardi. Dapat terlihat negara Indonesia di masa lampau dan era reformasi. Di mana masa-masa pemerintahan masa masa orde lama, di mana pembentukan kepala nagara atau Presiden melalui musyawarah badan panitia penyelidik usaha pesiapan kemerdekaan Indonesia (BPUPKI), dalam artinya sistem pemilihan kepala negara tidak melalui langsung oleh rakyat. Dalam artinya pemilihan kepala negara dapat dilihat tidak langsung hanya penunjukan langsung oleh Presiden lama kepada kepala negara baru. Maka melihat dari tawaran tokoh politik Islam seperti al-Mawardi terhadap pembentukan kepala negara ada relevansinya dengan masa-masa sistem pemerintahan orde lama dan orde baru.
Superbloque: innovación y revisión de los grandes conjuntos
Authors: Canén Pablo 
Published: August 2023

El Parque Posadas fue el primer gran conjunto que se construyó en Uruguay. Sus diez edificios se ejecutaron en el contexto de la Ley de vivienda N° 13728 y su promoción de la industria privada para dinamizar la construcción y complementar al sector público en la realización de soluciones habitacionales. La escala inusitada en nuestro medio, 2051 apartamentos, planteó desafíos administrativos, organizativos y tecnológicos. A su vez, con elogios y críticas, dio paso a nuevas formas de asociación vecinal y nuevas pautas de construcción de ciudad. En este artículo se conceptualiza la idea del gran bloque o superbloque como un tipo ajustado a la escala de estos grandes conjuntos, y se orbita en torno a casos de escala comparable. De todas maneras, se detallan las características singulares de este proyecto, su historia - con un balance crítico por parte de la comunidad arquitectónica- y su devenir en relación a otros complejos, aspecto que podría ameritar una nueva revisión.
Construction of an economic environment scheduling system based on the multi-objective fuzzy optimization model
Authors: Liu Lu 
Published: August 2023

Abstract
To integrate the combination of electric vehicles and wind power of the transmission system, a wind farm environment multi-objective transmission model considering plug-in electric vehicles was established. The fuzzy optimal scheduling model for the environment and economy target of wind farm power system considering grid interconnection of electric vehicles designed by the author has the following characteristics: A fuzzy multi-objective dynamic scheduling model for the design of wind farm power system considering grid connection of plug-in electric vehicle is established, and the original 10 systems are taken as an example for power system design. The results show that the better model shows that the electric vehicle grid connection can greatly reduce the disadvantage of wind power stochastic uncertainties of system scheduling. The model can be used under different conditions further analyzing the rationality of the model determined by the author. An improved particle swarm optimization algorithm is used to solve this problem. The model takes the environmental and economic benefits into account, which improves the efficiency of the model.
Sports Talent Training System of Sports Aerobics Based on Fractional Differential Equation
Authors: Zhou Xiaofeng , Zhang Dandan 
Published: August 2023

Abstract
Fractional calculus is now widely used in engineering. The complex physical properties are described accurately by using variable-order fractional-order operators. The variable fractional difference model is a powerful mathematical tool. This model is convenient for engineering simulation. This paper mainly investigates the situation of calisthenics in 2 middle schools. Secondly, the fractional differential equation studies the development status of gymnastics in China. This paper comprehensively examines the current situation of calisthenics in students’ cognition of calisthenics. The results show significant obstacles in the development of calisthenics in colleges and universities.
Prediction of English teachers’ professional development based on data mining and time series model
Authors: Fu Min , Zhang Xinye 
Published: August 2023

Abstract
English is a basic required course in colleges and universities. Different from other majors, students majoring in English usually have to pass CET-4, IELTS, and TOEFL. Therefore, both English majors and teachers have necessary feature vectors. Using data mining technology to predict the professional development direction of English major students from the perspective of big data is the goal of this paper. Based on a convolutional neural network and sequential model algorithm, the career development prediction model is established, and its accuracy is evaluated. It proves that the prediction effect of the model has the value of continuing in-depth research, and then the prediction model is further optimized. Finally, based on the design and development of the optimization model of English major students’ career development prediction software, the prediction model is analyzed and studied based on the real data of the school.
BIM+ Engineering Cost Estimation Optimization Based on Equivalent Approximate Linear Model
Authors: Lu Yuan , Wang Yilin , Huang Lili 
Published: August 2023

Abstract
In this paper, a typical equivalent fitting linear modeling method is studied by using BIM technology. This paper realizes the quality-efficiency control of construction projects based on BIM technology. The software can realize the cost data statistics and collection of each sample. The system takes the statistical sequence of each department’s project cost as the original data for dimensionality reduction processing. The variance contribution is used as the weight to calculate the weight of each main component. According to the finite element analysis of combined parameters, the project cost and construction benefit are the restrictive factors. A multi-factor comprehensive evaluation method establishes a rapid construction cost evaluation model. The experimental results show that this method agrees with the conventional calculation method and the measured data. The estimated cost of construction differs little from the measured value. The results show that the model constructed according to different stages of the construction projects has good prediction accuracy.
Analysis of the effects of physical activity on chronic diseases based on multidimensional data analysis
Authors: Liang Jun , He Qing 
Published: August 2023

Abstract
In recent years, the incidence of chronic diseases in the middle-aged and elderly population has been increasing, with high morbidity, disability, and mortality rates, and is one of the most dangerous factors leading to death in middle-aged and elderly people. Although drugs are the most common means of treating chronic diseases, long-term medication can bring serious side effects and cause chronic damage to multiple organs. Evidence-based medical evidence shows that sports prescription interventions have better intervention effects on chronic diseases without side effects, and they have become a common means to promote recovery and improve the quality of life of patients with chronic diseases. In this paper, we will analyze the effects of different sports on the indicators of chronic diseases from a multidimensional perspective and develop a scientific sports prescription to help patients with chronic diseases recover. The experimental results show that high-intensity intermittent exercise and resistance exercise also have good intervention effects on patients with chronic diseases; in addition, different exercise prescription factors such as exercise intensity, exercise time, and exercise items directly affect the intervention effects of exercise, and unscientific exercise prescriptions not only fail to promote patients’ recovery but also bring adverse effects on patients’ physical functions and even aggravate the development of the disease. The recovery of the physical function of the patients in the experimental group is sufficient to show the feasibility of exercise intervention. Therefore, the development of scientific exercise intervention prescriptions is of great significance to the rehabilitation of patients with chronic diseases.
Information security of hospital computer network based on SAE deep neural network
Authors: Li Guizhen , Dong Zhenyin , Wang Yongping 
Published: August 2023

Abstract
As the pace of hospital informatization construction continues to accelerate, information network technologies are being used more and more extensively in the medical industry. These advanced technologies make medical businesses more and more dependent on industry information and data, which brings about network system security issues that cannot be ignored. To strengthen the daily operation and management of hospitals, ensure the stable operation of computer systems, and do a good job in protecting the security of hospital computer system network information, this paper designs a risk assessment method for hospital computer network information security based on SAE deep neural network and analyzes the main factors affecting the security of hospital computer system network information. The experimental results prove that the proposed method can effectively improve the reliability of the evaluation results and ensure the accuracy of the evaluation results. According to the obtained information security model, it can effectively guide the construction and application of hospital computer network information systems, optimize the system network, and promote the development of hospital informatization.
An innovative training model for developing talents in French language education based on the deep learning model
Authors: Tang Yafen 
Published: August 2023

Abstract
Modern society is developing rapidly, new technological means are emerging, people’s mindset is changing day by day, and all aspects of social life have undergone great changes. In such an era, French teaching is facing new challenges, but it is also a new opportunity for teaching reform. The introduction of new deep learning model teaching tools in traditional teaching, the construction of online education, and the adoption of a combination of online and offline teaching models enable French teaching to adapt to the characteristics and needs of the new era and ensure the quality of teaching. The model uses deep learning as technical support and takes the prediction of students’ answers to a question as a judgment indicator. Through the generation of directed graphs in the model, the model structure is optimized to improve its application in predicting students’ answers compared to the classical model. It is prepared for the next step of building a system for personalized question recommendation using deep reinforcement learning. The model plays a role as a student simulator in the recommender system. So its prediction effect reflects the simulation effect on students. Finally, it is experimentally demonstrated that the proposed deep knowledge tracking model based on directed graphs has a significant improvement in prediction effectiveness compared to the traditional model.
Machine vision-based multi-degree-of-freedom laser cladding system integration and process monitoring research
Authors: Zhao Liqun , Zhang Wen 
Published: August 2023

Abstract
Machine vision-based multi-degree-of-freedom laser cladding system integration and process monitoring is an important methods to ensure high-quality laser cladding. In this paper, based on the basic theory of multi-degree of freedom of machine vision, the laser cladding system is redesigned, and the melt pool images during the cladding process are monitored and analyzed. The melt pool image is pre-processed with the help of spatial filtering, and the image is thresholded using the iterative method thresholding to analyze the melt pool image. It is proved that the larger the laser power is, the larger the melt pool area is, and the maximum melt pool area is 60,000 pix when the laser power is 200 W. The maximum melt pool area is achieved when the nozzle tilt angle is 30° and the melt pool area is vertical. The smaller the melting speed, the larger the melting area and the maximum melting pool area is up to 35000pix when the melting speed is 210mm/min. It shows that the integration and process monitoring of the multi-degree-of-freedom laser melting system based on machine vision can reasonably control the process parameters of laser melting and improve the quality of laser melting by real-time monitoring and analysis of the melting pool images.
Software engineering database programming control system based on embedded system
Authors: Luo Ke , Deng Wei 
Published: August 2023

Abstract
To improve the programming efficiency of a software database, this paper analyzes the possibility of running an embedded system in a software engineering database by constructing an embedded software data programming control system with the help of an independent time step algorithm and main function. By analyzing and calculating the format of DXF files and commonly used group code values, the format of file storage and the method of expressing data in the graphical element processing module are summarized to ensure the accuracy of software processing and the stability of the software processing process. According to the laws summarized in the analysis, the necessity of introducing an embedded system in the software data programming control process was proposed and simulated, and tested. In the test process, we focus on the process time consumption, space resource occupation rate, running accuracy, and step length data. The test results show that the maximum programming process time of the embedded software data programming control system is only 4.5s, the minimum software space resource occupation rate is 19.7%, the highest operation accuracy is 98.9%, and the calculation time per step is about 0.002s, which is significantly better than the programming system based on remote wireless synchronization system and the computer software programming system based on C language technology. The data calculation results of the independent time step algorithm and the main function prove the feasibility of introducing embedded systems in the software programming process and improving the reusability of software programming code for embedded systems.
Research on international logistics supply chain management strategy based on deep reinforcement learning
Authors: Wang Yuzhen , Wang Jian 
Published: August 2023

Abstract
The use of deep reinforcement learning algorithms for strategy formulation in supply chain management enables the nodes in the supply chain to better improve their management strategies. In this paper, a supply chain model is constructed as a starting point, and deep reinforcement learning algorithms are introduced on this basis. Firstly, the decision problem of uncertainty is handled by the reinforcement learning method of functions, and the DQN algorithm (deep neural network algorithm) is divided into two parts for iterative rules. Then the target network is established to make the iterative process more stable, to improve the convergence of the algorithm, evaluate the loss function in the training process of the network, and to determine its influence factor. Then the neural network is used to improve the iteration rule, improve the output layer, select the final action, and define the model expectation reward. Finally, the Bellman equation is fitted to the function by a deep neural network to calculate the final result. The experimental results show that by analyzing and constructing the cost of international logistics under supply chain management, the capacity utilization rate of ocean freight link is 57% The unloading link is 74% and the total capacity utilization rate is calculated as 76%. It shows that using deep reinforcement learning algorithms under international logistics supply chain management is feasible and necessary for improving the management strategy research of supply chains.
Exploring the path of development of international trade of agricultural products in the context of digitalization
Authors: Wang Fei , Chen Wanling 
Published: August 2023

Abstract
Agriculture is the foundation of the national economy, and Chinese agriculture in the digital background should realize the intelligent management of agricultural production To improve the efficiency of international trade of Chinese agricultural products and help Chinese agricultural products occupy a larger share in the international market, this paper takes the clustering algorithm and agricultural IoT technology as the research method applies the improved spectral clustering algorithm for processing agricultural data to extract research data and perform data correction, simulates and evaluates the performance of the algorithm through agricultural IoT data pooling and simulation analysis, and uses the chance routing performance index as the main judgment The variance results are derived from the criteria. The data show that the production of agriculture, forestry, animal husbandry, and fishery has developed qualitatively in the digital background, and the total output value reached 122,874.96 billion yuan in 2021, and the total grain production reached 73,000,000 tons in 2021, with obvious export advantages. The export value of agricultural products has grown from $48.98 billion in 2010 to $85.06 billion in 2021, and the export value of China’s agricultural products exceeded $70 billion in 2014, making China’s international trade in agricultural products fruitful. Based on this, this paper explores the multifaceted achievements and future development path of international trade in agricultural products in the context of digitalization, intending to contribute its share to China’s international trade in agricultural products.
Understanding the impact of plateau climate on the travel behavior of elderly pilgrims: Evidence from Tibet, China
Authors: Cheng Gang , Wang Xinlei , Yang Can 
Published: August 2023

Abstract
The climate is an important factor influencing residents’ travel behavior. Many studies have focused on travel in areas with gentle terrain, with high-altitude regions receiving increased research attention due to their unique climatic conditions. Pilgrimage is a daily travel activity for many residents, and studying pilgrim flow patterns helps enrich the theory of travel behavior in high-altitude regions. In the context of population aging, it is crucial to help policymakers and transportation planners recognize the travel mobility needs of elderly pilgrims. This paper comprehensively analyzes the socio-demographic, travel and personal health attributes related to the mobility of elderly pilgrims and establishes plateau climate as an important factor influencing the travel behavior of this group. This study considers the actual situation of the Tibetan Plateau to fit the theoretical gap related to the travel behavior of urban residents in the plateau. Using travel diary data from selected cities on the Tibetan Plateau, a Random Coefficient Multinomial Logit Model is used to analyze the mobility patterns of elderly pilgrims. Considering the realities of China and based on specific research findings, policies developed by transportation practitioners and urban planners need to encourage older adults to use active transportation modes with lower carbon emissions and public transportation.
A Study on Aesthetic Elements in Ethnic Music Appreciation in the Age of Information Technology
Authors: Jia Jiangli , Zhang Hainan 
Published: August 2023

Abstract
In the age of information technology, the communication and collision mode between folk music cultures is no longer single, and the data of information also makes the dissemination of folk music culture develop towards diversification. This paper first builds a folk music appreciation platform based on B/S model system architecture. Apriori mining algorithm is added to improve the fully automatic algorithm. After constructing the database of aesthetic elements, we select and pre-process the audio data to be mined for folk music appreciation. Convert and mine the processed aesthetic elements. Finally, the mined aesthetic elements in folk music appreciation are analyzed. The test results of the improved Apriori data mining algorithm are generally high, as verified by experiments. The folk music with the highest number of clicks was “Five Brothers Herding Sheep” with 810 clicks. The ethnic music with the least number of clicks is “Yellow River”, with 189 clicks. The ethnic music with the highest number of clicks was “Five Brothers Herding Sheep”, with 290 clicks. The folk music with the least number of clicks is “Dongfang Hong”, with 76 clicks. This confirms that the Apriori mining algorithm, after improvement, has high accuracy and outstanding advantages and can be used as the main means of mining aesthetic elements in folk music appreciation. Thus, the reliability of folk music appreciation can be further improved.
Punishment of employees – its causes, types, and consequences, as well as factors determining punishment for poor quality
Authors: Bugdol Marek , Puciato Daniel 
Published: August 2023

Abstract

Purpose
The purpose of this paper is to identify reasons for punishing employees, prevalent types of punishment, consequences of punishment, and the factors that determine whether employees are punished for the poor quality of products and services.

Design/methodology/approach
The main research method was a diagnostic survey using a questionnaire technique. A personal interview was a complementary method aimed at providing additional data and broaden the extent of research findings.

Findings
The conducted research shows that employees are punished mainly when some irregularities occur and are detected (someone does not respect the procedures and standards in force in a given organization). Penalties provided for in-work discipline systems are rarely used. They are supplemented by various informal punishments. As a consequence of penalties received, employees feel injustice, a lack of motivation to work, a lack of satisfaction, and an unwillingness to propose improvement actions.

Originality/value
The factors influencing punishment include the ability to set a quality criterion for a job appraisal, the presence of a quality criterion in a remuneration system, as well as the results of quality audits. The narrow spatial and temporal scope of the conducted research should be considered as its main limitation. The research was of a partial character, so its representativeness is rather limited. The interpretation of data obtained through interviews depends on their structure, the knowledge and skills of interviewees, and their ability to avoid bias.