bluuebunny/crossref_metadata_2025 huggingface dataset:
Stock Price Prediction Using ARIMA and LSTM Models: An Application to CSI 300 Closing Prices
Authors: Zhang Yifan
Published: June 2024

In the development of the real economy, the performance of the stock market can well reflect its development status, so it is of great value to select effective forecasting methods to make a relatively accurate prediction of stock prices. The research and forecast object of this paper is the daily adjusted closing price of CSI 300 index. The sample data is derived from China Securities Data Website and is composed of six characteristic data for 261 days from July 1, 2022 to July 26, 2023. This paper compares the prediction ability of Autoregressive Integrated Moving Average (ARIMA) model and Long Short Term Memory (LSTM) networks. For the deviation function, this paper chooses MAE and RMSE two methods. By comparing the prediction ability of the models, the following conclusions are drawn: The daily closing price of CSI 300 has autocorrelation and long-term memory, which enables the prediction of future price based on historical data. Compared with ARIMA model, LSTM has stronger prediction ability, but the prediction has a lag, which is not conducive to reflecting the drastic trend changes in the short term. More characteristic information needs to be added to characterize to obtain more accurate results.
Comprehensive Exploration on Performance Improvement of Rocket Thruster
Authors: Li Xuge
Published: June 2024

Since mankind has been carrying out space research for decades, rockets are one of the most important tools used by mankind to explore space. In this article, the structure of a rocket is analyzed, and the function of each part is understood. Tsolkovsky's rocket equation is used to analyze the relationship between the initial and final mass of the rocket. Through the study of engine thrust, the calculation of engine thrust was demonstrated using the formula. Besides, the ideal specific impulse of different fuels in a vacuum is compared in a graph and some of the fuels in the chart. Ultimately, it was concluded that the performance of rockets could be improved in terms of open-edge construction, enhanced engine thrust, utilization of composite fuels and improved combustion efficiency. In the future, due to the development of rocket technology, perhaps commercial space activities will usher in a new trend.
Research Progress of Hydrogen Storage Materials
Authors: Wang Cheng
Published: June 2024

Hydrogen energy has become increasingly popular as a clean and renewable source of energy in recent years due to the high levels of carbon pollution worldwide. This essay examines the current research status on various hydrogen storage techniques and materials for hydrogen energy. There are currently three primary hydrogen storage methods: high-pressure gaseous hydrogen storage, low-temperature liquid hydrogen storage, and solid-state hydrogen storage. The most widely employed method in China is high-pressure gaseous hydrogen storage. It entails compressing hydrogen fuel into a container under high pressure. As a result, high-pressure gaseous hydrogen storage is commonly used for stationary hydrogen storage. Low temperature liquid hydrogen storage involves compressing the hydrogen at first and then cooling it down with liquefaction technology. However, due to the strict requirements for compression and container insulation, its actual performance is often limited. This paper focuses on the study of solid hydrogen storage materials. The physical adsorption materials that are successively introduced include carbon-based hydrogen storage materials, metal-organic frameworks (MOFs), and Covalent organic frameworks (COFs). In the current study, carbon-based hydrogen storage materials show better performance only in low-temperature and high-pressure environments, but MOFs and COFs have great prospects in hydrogen storage. The chemical absorption hydrogen storage materials introduced in this paper are metal alloy hydrogen storage and hydrogenation complexes hydrogen storage, mainly rare earth-based hydrogen storage materials and magnesium-based hydrogen storage materials. Among them, magnesium-based hydrogen storage materials have become one of the most promising hydrogen storage materials due to their low cost and good hydrogen storage performance.
Research on Optimization Design of Heliostat Field Based on Genetic Algorithm
Authors: Lu Jianqi
Published: June 2024

This article aims to design various variable parameters of the heliostat field while achieving the rated power of the heliostat field is an innovative solar heating system that focuses solar radiation on the absorption tower through a reflector, thereby generating high-temperature heat energy. This article mainly discusses the performance analysis and parameter optimization of the heliostat field to achieve optimal performance while meeting the rated power requirements. A simulated solar model was established using a three-dimensional Cartesian coordinate system, taking into account the effects of solar altitude angle and direct normal irradiance. The model in this paper comprehensively considers the effects of shadow occlusion loss, cosine efficiency, atmospheric transmittance, collector truncation efficiency, and mirror reflectance on the mirror field. To solve the problem, it is necessary to establish a three-dimensional coordinate system model, with the position of the absorption tower as the origin position of the coordinate system. Then, based on the size and installation height of the heliostat, the position of each heliostat is obtained, and optimized design is carried out to ensure that the total output thermal power is within the rated power range. Therefore, this article establishes a three-dimensional coordinate system model, taking the position of the absorption tower as the origin position of the coordinate system. Based on the size and installation height of the heliostat, the position of each heliostat is obtained. The annual average optical efficiency, annual average output thermal power, and annual average output thermal power per unit mirror area of the heliostat field are optimized and solved using genetic algorithm.
Light pollution risk level assessment based on Delphi method and analytic hierarchy process
Authors: Dai Muxuan , Ma Yuanyuan
Published: June 2024

Aiming at the light pollution phenomenon, this paper establishes the light pollution risk level evaluation model. First, the assessment indexes were screened and modified by Delphi's method. Then, on the basis of this assessment system, the assessment model of light pollution risk level was established based on the analytic hierarchy process (AHP) . Finally, the light pollution risk index was defined in the way of weighted summation of each index.
Principle and Applications of Monte-Carlo Simulation in Forecasting, Algorithm and Health Risk Assessment
Authors: Dou Mingze
Published: June 2024

Monte Carlo simulation, as a technique to reverse parameters by random sampling in known data, is widely used in many fields such as finance, computer and engineering. While introducing the basic concepts and related principles of Monte Carlo simulation, this paper will focus on three new applications of Monte Carlo simulation in electricity price prediction, algorithm and health risk assessment. The limitations and future development of the Monte Carlo simulation are discussed later. Future research should solve the defects of Monte Carlo simulation with long computing consumption time, lack of evaluation method and strict sampling requirements, and enhance the adaptability of this method by combining the problems worth research in various fields. This paper hopes to provide the reader with the relevant background knowledge of Monte Carlo simulations to facilitate the application of Monte Carlo simulation to complex problems in more domains. Overall, these results shed light on guiding further exploration of applications based on Monte Carlo Simulations.
Research On the Heat Output of Heliostat Field Based on Microelement Method
Authors: Chen Mengqi , Li Lijun , Yang You
Published: June 2024

The optimal arrangement of heliostat field is of great significance to energy utilization, and the rational arrangement of heliostat field is firstly to accurately calculate the heat output  of heliostat field. To calculate the heat output of the heliostat field, first calculate the optical efficiency of the heliostat. After geometrical optical analysis, the micro-element method and the cross-product method can be used to determine whether the incident or reflected light on each area of the micro-element is occluded by the shadow of the tower or other heliostats, so that the shadow occlusion efficiency can be calculated. Then using the transformation of the optical cone coordinate system and the mirror field coordinate system and the symmetry of the incident light and reflected light with respect to the normal vector of the heliostat, so as to determine whether the reflected ray falls into the receiving range of the collector. So the truncation efficiency of the collector is solved. Then the optical efficiency of the heliostat is obtained by the formulas of specular reflectance, atmospheric transmittance and cosine efficiency. Finally, using the normal radiation irradiance formula, the heat output of the heliostat field is obtained. The annual average heatoutput obtained by the formula is 38.5MW.
Application for Machine Learning Methods in Financial Risk Management
Authors: Liu Runqing
Published: June 2024

Financial risk management has significant importance and implications for individuals, businesses, investors, and even the whole nation. As the financial markets and institutes grow complex so does the risk associated with financial management. The spectrum of financial risks includes market risk, liquidity risk, credit risk, and a range of others. With a multitude of portfolios and sophisticated products, financial firms require apt tools that can accurately measure the risk, returns, and exposure. The growing complexity has also made statistical and simulation tools ineffective and there is a growing emergence of machine learning. Machine learning is a sub-category of artificial intelligence that uses algorithms. These algorithms analyze data and then learn from it so that a decision based on a certain experience or criteria can be made. Machine language tools provide data protection as the information is only accessible to the key decision-makers. Deep learning is modeled like a human brain and therefore it operates using multiple layers of artificial networks and can process and use a very vast amount of data.
The supply chain demand forecasting model based on LSTM and multiple clustering techniques
Authors: Xun Hongfeng , Li Wenhui
Published: June 2024

This study addresses the optimization of supply chain management in e-commerce platforms through the analysis of historical data related to e-commerce activities and product demand. By processing data and conducting anomaly detection, a combination of linear regression, ARIMA, and LSTM models is employed to analyze time series features, with LSTM selected for predicting the demand of various products across different warehouses for each merchant. K-means clustering is utilized to categorize time series data, identifying distinct demand patterns for different products. For new time series data, DBSCAN density clustering and ARIMA models are applied for prediction. Additionally, considering the impact of promotional events such as Singles' Day on demand, ARIMA models are employed to analyze periodic time series data.
Application of Linear Regression Analysis in Predicting the Index of An Electronic Store
Authors: Lu Chunyue
Published: June 2024

This paper illustrates how linear regression analysis can be used to establish a suitable mathematical model for the return on investment (ROI) of the store from June to December in 2020. What’s more, preliminary analysis of the known data will be explained. Then, the ROI of the store from January to May is estimated by using the model, and the limitations and uncertainties of using the analytical method will be stated by reflecting the process of the analysis. The paper aims to prove the feasibility and rationality of using the method of linear regression analysis to build a model for the prediction of future figures and show exactly how linear regression analysis can be exactly applied in real-world cases. Also, the result shows that the method is effective and reasonable, while there are still errors and uncertainties of the estimation, which makes merchants must consider about all factors when making decisions.
Pima Indian Diabetes Database and Machine Learning Models for Diabetes Prediction
Authors: Xie Linshan
Published: June 2024

As a matter of fact, diabetes mellitus is becoming a growing epidemic worldwide in recent years which attracts great attention of researchers. In reality, as a result of the illness and its complications, the strain on healthcare systems is rising. Therefore, it is crucial to identify diabetes early in order to shield individuals from major consequences. With this in mind, in this study, four ML models are used for the imputation of dataset (K-NN) and the prediction of diabetes (LR, SVM and RF). According to the analysis, the results show that the LR model is slightly better than the RF as well as SVM models, with a prediction accuracy of 0.7913 and a precision of 0.8571. Ultimately, it can be said that there is a lot of promise when employing ML models to diagnose diabetes early on based on the evaluations. Overall, these results shed light on guiding further exploration of diabetes prediction.
Research on the Optimization of Multibeam Bathymetric Survey Line Arrangement Based on Multimodal and Clustering Techniques
Authors: Liu Jiyang , He Haokun , Li Mingkai
Published: June 2024

Currently, there is limited research on the survey line arrangement for multibeam bathymetric technology in the marine surveying field. This study aims to propose a more cost-effective and efficient survey line arrangement for multibeam bathymetric technology, providing stronger theoretical and practical support for the relevant field. Assuming an ideal scenario where the seafloor is a flat slope, this study, based on computational geometry, establishes five survey line models. It plans the survey line arrangement reasonably, calculating the number of survey lines, their lengths, overlap rates, and omission rates, achieving multimodal universality of the model. In addition, hypothetical situations are constructed for computational comparisons. Subsequently, a set of real seafloor surface parameters were selected for discussion. The seafloor slope was first clustered and the slope was calculated using the central difference method. The sea area was then gridded, and using clustering techniques and sensitivity tests on the slope, effective clustering of the seafloor was achieved. Finally, comprehensive solutions were sought for each partitioned area, combined with the multimodal survey line model. Therefore, based on multimodal and clustering techniques, this study provides an effective survey line design method for multibeam transducer technology in marine surveying. The proposed line arrangement model and computational scheme provide strong theoretical and practical guidance for further applications of marine depth measurement technology.
Analysis of Planet Searching Scenarios: Radial Velocity, Gravitational Microlensing and Transit
Authors: Liu Ziqian
Published: June 2024

As a matter of fact, since extrasolar planets are crucial celestial bodies for understanding stellar evolution and the starting point for investigating the origin of life, they have long been a focus of astronomical frontier research. So far, approximately ten different exoplanet detection techniques have been proposed based on various advanced detectors. In reality, with the improving accuracy of astronomical observational tools, more than 4,000 exoplanets have been found since 1992 according to the NASA. With this in mind, in this paper, three methods of detecting planets are introduced, and their working principles and geometric representations are introduced, respectively. To be specific, the radial velocity, transit, gravitational microlensing, the theory of the doppler effect, planetary spectra orbit, lens equation and observed values interpreted and analyzed. According to the analysis, the current detection limitations are clarified and demonstrated. At the same time, the development trend of exoplanet exploration in the next 5 to 10 years is also prospected.
Estabilidad del rendimiento de chile tipo chilaca
Authors: González García Juvencio , Guerrero Morales Sergio , Anchondo Nájera José Álvaro , Sáenz Solís Jorge Iram , Magaña Magaña José Eduardo
Published: June 2024

Con el propósito de evaluar la estabilidad del rendimiento de ocho variedades de chile chilaca del programa de mejoramiento genético de la Universidad Autónoma de Chihuahua y un testigo de amplio uso estatal, se establecieron seis experimentos en igual número de ambientes de Chihuahua. Se utilizó la técnica propuesta por Eberhart y Russell teniendo como parámetros principales el valor de la pendiente (β1) y la desviación de la regresión (Sdi). Los mejores rendimientos se obtuvieron en las localidades del noroeste del estado, lugar de origen de las variedades; los coeficientes de regresión variaron desde 0.285ns (Harana 4), hasta 1.851* (Harana 1), donde Harana 7, 6, 3, 4, 5 y Colegio 64 fueron estables con valores 0.759, 1.168, 0.621, 0.285, 0.772 y 0.464, respectivamente. Sólo Harana 2 resultó consistente ante los cambios de ambiente con Sdi de 0.389. Harana 7 y 6 sobresalieron por su alto rendimiento en todos los ambientes, son estables pero no consistentes. Harana 1 es de alto rendimiento y no estable, se sugiere su siembra en ambientes con índices ambientales superiores a la media general. El único genotipo consistente es Harana 2, de rendimiento intermedio que reúne las características de mercado buscadas por el consumidor final (tamaño, forma y grosor de fruto, picor y sabor).

DOI: https://doi.org/10.54167/tch.v9i1.598
Simulation-based business model innovation process for business-to-business contexts
Authors: Ksouri-Gerwien Christoph , Poeppelbuss Jens
Published: June 2024

Innovating service-oriented business models in industrial business-to-business (B2B) contexts presents a complex and risky endeavor. Recently, System Dynamics (SD) modelling and simulation has been suggested as a tool for prototyping and experimentation in business model innovation (BMI). However, knowledge of how to best utilise SD in BMI is scarce. Therefore, our research objective was to develop a new simulation-based approach for BMI, particularly for B2B contexts. We conducted a two-and-a-half-year action design research study with two industrial firms, Alpha (start-up) and Beta (incumbent firm). We developed and simulated new service-oriented business models as part of the two BMI teams. Our study resulted in the simulation-based BMI process containing phases, tools/techniques, and goals. Our findings demonstrate that SD, as a dynamic and visual modelling language, facilitates collaborative and cognitive activities during BMI, such as communication, design, evaluation, and decision-making.
Performance Evaluation of an Engine Driven Onion Grading Machine
Authors: Tafa Wabi
Published: June 2024

To replace the traditional way of onion grading mechanism practiced in the Ethiopia, the performance evaluation of an onion grading machine developed and fabricated at Asella Agricultural Engineering Research Center (AAERC) was undertaken. The experimental design used was factorial in a completely randomized design with two factors (three levels of speeds of grading unit (rpm) and three levels of feed rate (kg/min) with three replications). The main and interaction effects of machine operational parameters on grading capacity, grading efficiency, bulb damages, fuel, and energy consumption were studied. The optimum result was obtained when the machine operated at 55 rpm speed of the grading unit and a feeding rate of 15 kg/min. At these operational parameters, a grading capacity of 1488.43 kg/hr, maximum grading efficiency of 96.04%, bulb damage percentage of 1.20%, and fuel and energy consumption of 1.37(ml/kg) and 4.23 W-hr/kg, respectively were obtained. Statistical analysis of the data showed that the combination of grading unit speed and feed rate of the grader had a significant effect on grading machine capacity, efficiency, and percent of bulb damage at p < 0.05. The cost of the grader was estimated to be 20,880.99 ETB with a cost-benefit ratio of 1.00: 9.09. Generally, it can be concluded that this grading machine is simple in design, easy in operation, and found to be suitable for small and medium-scale farmers.
La proximidad sensible en la devoción mariana
Authors: Rodríguez Gerardo Fabián , Miranda Lidia Raquel
Published: June 2024

Nuestras investigaciones anteriores sobre la cercanía sensorial de la Virgen María en textos medievales de diversa procedencia y sus diferentes apropiaciones y manifestaciones en prácticas religiosas contemporáneas nos han permitido dialogar con la propuesta relacional del sociólogo Simmel. De manera especial su concepto de proximidad sensible ha posibilitado la redacción del presente trabajo, en el que ofrecemos un análisis del cuerpo y las relaciones sociales que lo constituyen, así como de los espacios que habita y su sentir, tanto físico como emocional, en el marco de un sensorium devocional mariano gestado en la Edad Media y cuya pervivencia se registra en un lugar sacralizado en la provincia de Buenos Aires, Argentina.
Mundus subterraneus.
Authors: Blasco Paredes María
Published: June 2024

La colección de galerías, bóvedas y pasadizos del monasterio revelan la vida que ha tenido el monasterio durante generaciones. Este trabajo se enfoca en mostrar la perspectiva menos común, aquello que no es visible a los ojos de un espacio que forma parte del patrimonio arquitectónico. Se pretende cartografiar el espacio al que no todos tienen acceso, de forma que se muestre esta realidad sobre papel, para ofrecer una nueva visión que invita a sumergirse en la historia de este edificio tan complejo y funcional.
Education Policy on Operational Assistance Management at the Local Level: A Challenge and Recommendations
Authors: Agus Andi , Hakim Lukman , Mahsyar Abdul , Fatmawati
Published: June 2024

This research discusses the Implementation Operational Assistance Program (BOP) at the local level as a fund management mechanism to support educational activities in schools, provide equitable access to education, encourage educational inclusion, and reduce disparities between regions. This study uses a qualitative approach with a focus on thematic analysis. This approach was chosen to guide researchers to find sources of analysis directly from the government by identifying several official government documents. This study's findings indicate several challenges in managing BOP locally, such as a need for more resources, infrastructure and technical capabilities. Several policy recommendations are suggested to overcome these challenges, namely by increasing monitoring and evaluation, transparency, management capacity, use of technology, and collaboration. With the implementation of the right policies, BOP management at the local level can be improved so that education can become a more inclusive, quality and sustainable means for all parties.
Analyzing Supporting and Inhibiting Factors in the Implementation of Stunting Reduction Acceleration Policy in Depok City
Authors: Suri Supian , Hamdi Muchlis , Nurdin Ismail , Lukman Sampara , Sidiq Fathir Fajar
Published: June 2024

This research raises the issue of stunting, which is not only a serious public health challenge in Depok City but also worldwide. The main focus of the research is to identify and analyze the factors that support and hinder the implementation of policies to accelerate stunting reduction in Depok City and formulate an optimal implementation model. Using a descriptive qualitative approach, this study collected data through in-depth interviews, Focus Group Discussions (FGDs), and observations. The analysis was conducted using NVivo 14 software by applying Knill and Tosun's determinants of policy implementation approach. Results show that factors such as political will, program innovation, human resource quality, and social acceptance are key enablers, while budget inefficiency and sectoral ego were found to be the main inhibitors. The proposed implementation model integrates policy instruments, policy design, control structure, institutional design, administrative capacity, and social acceptance with a focus on sustainability. This research makes an important contribution to the development of knowledge in the fields of government science and public administration and the practice of public policy, particularly in efforts to accelerate stunting reduction in Depok City and other regions in Indonesia.
Analysis of the Influence of Brand Image on Customer Loyalty Using Customer Satisfaction as an Intervening Variable Case Study at the Uni Kapau Jaya Restaurant, Bandung City
Authors: Permadhi Billy Maulana , Maulina Erna , Tresna Pratami Wulan
Published: June 2024

This study aims to analyze the influence of brand image on customer loyalty with customer satisfaction as an intervening variable at Uni Kapau Jaya Restaurant, Bandung. The research method used is causal research with a quantitative approach. The research object is Uni Kapau Restaurant Jaya known for its Minang cuisine. Data were collected through surveys and statistically analyzed using the Structural Equation Modeling (SEM) technique. The results show a positive influence of brand image on customer loyalty, and customer satisfaction mediates the relationship between brand image and customer loyalty. The practical implications of this study emphasize the importance of considering brand image and customer satisfaction in enhancing customer loyalty in the food and beverage industry.
Performance Management System in Industry: A Systematic Literature Review
Authors: Marbun Tonggo , Sobandi A. , Risali Ridho Pangestu Adhitio
Published: June 2024

The increasingly competitive business environment necessitates the development of an effective Performance Management System (PMS). According to academics, current research on PMS has not yet reached a consensus on the actual consequences of PMS and the inconclusive results are due to inadequate understanding of the antecedents and effectiveness of PMS. Therefore, this research aims to observe the dimensions commonly used to measure PMS in the industrial context, understand the characteristics of studies, and identify antecedents, outcomes, mediations, and moderations in the literature on PMS in the industrial context over the past 7 years using a systematic literature review with the PRISMA guideline. The scholarly articles in this SLR are those included in the Scopus database from 2018 to 2024. The review results reveal that the dimensions currently used to study PMS originate from dimensions built by previous researchers, namely PMS Accuracy. The majority of the included studies on PMS in this research were published in 2018 and 2021, with most employing quantitative methods and the majority being located in India and Italy. Our research also reveals that PMS has a positive impact at both individual and organizational levels. This SLR contributes to explaining the current research conditions of PMS in the industrial context and also provides suggestions for future PMS research.
Organizational Structure and Human Resources Management at The West Java Provincial Election Supervisory Body
Authors: Khadafi Akbar , Nurdin Nurliah , Pitono Andi
Published: June 2024

Bawaslu as a state auxilarry bodies, in charge of election supervision affairs must certainly have a good institutional structure from the central level to the Regency/City level, especially the target of this study, namely Bawaslu Provinsi Jawa. The purpose of this study is to analyze the management or governance of Bawaslu institutions within West Java Province and the management of Bawaslu human resources in West Java Province in improving employee performance. The method used is qualitative-descriptive. The results showed that Bawaslu of West Java Province must improve the secretariat status of each Regency/City to strengthen the institutional structure and increase the competence of human resources.
The Effect of Product Quality, Service Quality on Customer Loyalty Mediated Satisfaction for Grabfood Customers in Jabodetabek
Authors: Sahid Wahno , Abadi Feryyal
Published: June 2024

Customer loyalty is a crucial factor in an organization's growth and financial performance. This study aims to investigate how Product Quality influences customer loyalty, service quality, and customer happiness among Grab Food’s customers while making purchases. The population for this study consists of all online Grab food consumers in Indonesia, with a sample size of 173 online Grab food clients. The research used Structural Equation Models (SEM) for data analysis.). Research shows that both product quality and service quality have a significant influence on Grab Food’s customer loyalty in the Jabodetabek area. This shows that aspects such as food taste, ease of ordering, and speed of delivery contribute significantly to customers' decisions to continue using Grab Food services repeatedly. Mediating Role of Customer Satisfaction: The research results also highlight the important role of customer satisfaction as a mediator between product quality/service and customer loyalty. Important managerial implications for Grab Food. highlighting the importance of Grab Food’s focus on improving their Product Quality and services. Companies can carry out a thorough evaluation of the production process and service provision to ensure that the products and services provided meet customer expectations.
AI AND DIGITAL COMMUNICATION INTEGRATION IN LEARNING: THE GOVERNMENT'S ADAPTIVE STRATEGY FOR CITIZEN RESPONSIVE EDUCATION IN THE DIGITAL AGE
Authors: Utami Pri
Published: June 2024

The use of artificial intelligence (AI) and digital communication has changed the educational landscape, bringing new challenges and opportunities to the learning process. However, this technological integration requires a wise approach to maintaining a balance between technology and human interaction. This study aims to analyze how the use of AI technology and digital communication can shape the dynamics of modern education, explore potentials, challenges, as well as emerging social and ethical implications. This study adopts a descriptive qualitative approach, with data obtained from previous studies that are relevant to the role of AI and digital communication in the educational context. Through data analysis, this study identified best practices in using AI technology, challenges in integrating it, and its impact on the roles of teachers and students. The results of this study underscore the need for a holistic approach in the use of technology in education, by preserving the essence of human education and designing sustainable strategies to respond to technological changes. By deeply understanding the implications of using AI technology and digital communication in education, we can form a solid foundation for facing challenges and opportunities in digital era education.
PERBANDINGAN POLIKAPROLAKTON, ASAM POLILAKTAT DAN POLIDIOKSANON DALAM PROSES NEOKOLAGENESIS: SYSTEMATIC REVIEW AND META-ANALYSIS
Authors: Tamon Oktavian
Published: June 2024

Penuaan merupakan suatu proses yang dipengaruhi oleh lingkungan, yang merupakan kecenderungan genetik, terdiri dari proses biologis dan seluler yang menyebabkan penurunan aktivitas fisiologis intrinsik sel. Dalam mencegah proses penuaan dapat dengan merangsang kolagen baru melalui penggunaan bahan yang dapat meningkatkan kolagen baru. Tujuan systematic review ini yaitu untuk mengetahui perbandingan polikaprolakton, asam polilaktat dan polidioksanon dalam proses neokolagenesis. Systematic review ini menggunakan artikel pada database PubMed, Google Scholar, dan ProQuest yang diterbitkan pada 2019-2023, didapatkan 592 artikel kemudian direview menggunakan diagram Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) dan mendapat 5 artikel yang memenuhi syarat untuk dianalisis. Hasil 5 artikel diperoleh bahwa bahan polidiaxanone lebih baik dan aman serta dapat merangsang proses neokolagenensis. Jahitan ini memiliki kekuatan tarikan awal yang lebih besar dibandingkan asam poliglikolat. Dari segi bentuk injeksi maupun benang PCL dan PLLA juga baik dalam proses neokolagenensis namun lebih efekif dan lebih baik PDO. Dapat disimpulkan bahwa pada proses neokolagenesis ini bahan yang memiliki sifat biofisik, keamanan, dan kemanjuran adalah bahan pengisi polidioksanon (PDO) dibandingkan dengan bahan pengisi asam poli-L-laktat (PLLA), polikaprolakton (PCL), PDO juga dapat menstimulasi kolagen baru dibandingkan dengan PCL dan PLLA. Bagi penggunaan bahan tersebut dapat memperhatikan tingkat keefektifannya untuk menghasilkan proses neokolagenenesis yang baik.
PERSPEKTIF HUKUM ISLAM DAN HUKUM POSITIF TERHADAP MITIGASI RISIKO LINGKUNGAN DALAM PEMBIAYAAN DI BANK SYARIAH
Authors: Novianti Resha Nurul
Published: June 2024

Penelitian ini membahas mengenai tanggung jawab bank dalam mengelola risiko lingkungan atas kegiatan usaha Perusahaan yang merupakan nasabah pembiayaan bank syari’ah. Penelitian ini bertujuan untuk mengkaji dan menganalisis fungsi bank dalam mendukung keuangan berkelanjutan yang telah ditentukan didalam perundangan-undangan dan konsekuensi hukum bagi bank terkait dengan penegakan lingkungan. Jenis penelitian ini adalah penelitian yuridis normative. Hasil penelitian ini menunjukkan bahwa regulasi terkait secara eksplisit menyebutkan kewajiban bank syari’ah untuk memperhatikan aspek perlindungan dan pengelolaan lingkungan hidup dengan berpedoman pada aturan-aturan terkait terkait terutama pada Undang-Undang Perlindungan Lingkungan Hidup. Dengan adanya kewajiban yang ditentukan maka bank syariah bertanggungjawab menjalankan fungsinya dan ketidakpatuhan atau kelalaian atas fungsi mitigasi risiko lingkungan akan menyebabkan bank menanggung konsekuensi hukum baik hukum administrasi, hukum perdata, dan hukum pidana tergantung kesalahan tersebut memenuhi klausul hukum yang mana.
PENERAPAN DASAR EDITING VIDEO KOMISI PEMILIHAN UMUM DAERAH ISTIMEWA YOGYAKARTA (KPU DIY) PADA PLATFORM YOUTUBE
Authors: Putra Kornelius Permana , Mahendra Angga Intueri
Published: June 2024

YouTube merupakan salah satu platform sosial media yang memberikan informasi atau hiburan dalam berbentuk video. Sebagai pusat informasi dalam pemilihan umum KPU menggunakan YouTube. Maka dari itu perlu adanya konten dalam berupa video yang sesuai dengan prinsip dan peraturan yang telah ditetapkan. Penelitian ini membahas mengenai penerapan dasar editing video dalam penyampaian informasi pada YouTube channel KPU DIY. Teori yang digunakan teori dasar editing video. Tujuan dalam penelitian adalah untuk mengetahui bagaimana dasar editing video yang diterapkan dalam YouTube channel KPU DIY. Penelitian ini menggunakan metode kualitatif dengan cara pengumpulan data observasi non partisipan dan dokumentasi. Teknik yang digunakan dalam penelitian ini adalah Teknik simple random sampling dengan pemilihan konten yang dipublikasikan pada jangka waktu periode 29 Agustus 2023-5 Oktober 2023 yang merupakan hasil editing video yang di miliki KPU DIY yang memiliki beberapa masalah dari masalah teknis serta mencari kesesuaian pada teknik dasar editing video Hal ini diharapkan menjadi bahan masukan dan evaluasi bagi editor untuk lebih memperhatikan dasar editing dan standar yang ada agar kualitas video dan informasi yang disampaikan dapat dipahami dan dinikmati oleh penonton.
KEBIJAKAN PENYALURAN BANTUAN SOSIAL PROGRAM KELUARGA HARAPAN (PKH) MELALUI HIMPUNAN BANK MILIK NEGARA (HIMBARA) DAN PT. POS INDONESIA
Authors: Umasugi Mohbir , Adam Muhammad Darsan Hi
Published: June 2024

Program Keluarga Harapan (PKH) merupakan program yang memberikan bantuan sosial kepada masyarakat. Mekanisme PKH dimulai dari perencanaan, seleksi calon, pertemuan pertama, interaksi, verifikasi, validas, penyaluran dana PKH, dan pemutakhiran data. Untuk melaksanakan program Keluarga Harapan, seorang koordinator harus bertanggung jawab dalam melaksanakan kegiatan. Untuk menghindari permasalahan dan mencegah terjadinya kecurangan maka mekanisme akuntabilitas memerlukan dimensi akuntabilitas yaitu akuntabilitas dan akuntabilitas berkaitan dengan kepatuhan terhadap peraturan perundang-undangan yang berlaku. Metode analisis data yang digunakan dalam penelitian ini yaitu deskriptif kualitatif. Deskriptif kualitatif merupakan metode yang digunakan untuk mengeksplorasi temuan di lapangan. Hasilnya menunjukkan bahwa penyaluran bantuan sosial PKH memakai dua mekanisme yaitu penyaluran bantuan sosial PKH melalui HIMBARA (Himpunan Bank Milik Negara) dan PT. Pos Indonesia. Penyaluran melalui HIMBARA sendiri merupakan penyaluran untuk penerima bantuan sosial PKH yang lama mendapatkan bantuan sosial PKH, sedangkan penyaluran bantuan sosial PKH melalui PT. Pos Indonesia sendiri kepada penerima bantuan sosial PKH yang baru di tetapkan untuk mendapatkan PKH, penerima bantuan sosial PKH melalui PT. Pos Indonesia ini kemudian akan diajukan Kementerian Sosial untuk BUREKOL (Buka Rekening Kolektif) di HIMBARA agar selanjutnya akan menerima bantuan PKH melalui HIMBARA dengan jenis bank dari HIMBARA yang berbeda-beda di setiap daerah berdasarkan ketetapan Kementerian Sosial.
Iron Brother relations under The Belt and Road Initiative
Authors: Tang Jun
Published: June 2024

In 1951，China established diplomatic relations with it’s neighbouring country Pakistan. Over the past 71 years, the two sides developed good-neighborly friendship and mutually beneficial cooperative relations on the basis of the Five Principles of Peaceful Coexistence. Under the back ground of The Belt and Road Initiative, the two sides enhanced the relations to all-weather strategic partnership, which is known as Iron Brother relations as well. CPEC is a model project of the Belt and Road Initiative, since it will boost economic development and create new business and job opportunities, helping to reduce poverty in Pakistan. CPEC will improve trade and linkage between China and Pakistan and the rest of the world by opening new opportunities, optimizing business, and enhancing cooperation in accordance with the win-win model. By reviewing the Belt and Road Initiative and CPEC, this paper is to explore how the friendship of the two sides developed and what lessons can be learned from this model international friendship. The paper discusses the national interests, fundamental diplomatic principles, and the blueprint of building a community of shared human destiny respectively.
A Study on the “Issues and Challenges Faced by the Logistic and Warehouse Sector”
Authors:   NIMS UNIVERSITY JAIPUR RAJASTHAN, SINGH, SHANTANU KUMAR
Published: June 2024

Today, India's logistics sector includes internal and external components of service and manufacturing supply chains. Recently, there has been a lot of interest from industry and policy makers. The task of managing these structures to facilitate competition is removed. Inadequate infrastructure affects the creation of a niche for economic growth. Internal control systems have the ability to overcome short_term structural weaknesses and provide longterm competitive advantages. There are many challenges and opportunities in the logistics sector of the Indian economy.The biggest challenge facing the industry today is the limited integration of transportation networks, information technology, storage and distribution facilities. Regulations exist at different levels and are determined by national,regional and local authorities. However, laws vary from city to city, which is an obstacle tocreating a national network. n educated workforce is essential for the manufacturing and marketing sectors as well as the third party integration sector. This is particularly vulnerable at operational levels - IT, drivers, warehouses - and at a higher strategic level. The poor nature of the Indian logistics sector is considered to be a labor_intensive industry with a lack of adequate training facilities, resulting in a lack of skilled managers and customer service personnel. Lack of IT standards, tools and system integration. Key words: Transport network integration, Internal integration, External transport.
Implementasi Kebijakan Penggunaan Kartu Kredit Pemerintah dalam Meningkatkan Nilai IKPA Tahun 2023: Studi Kasus pada Sekretariat BSILHK
Authors: Arisa Alvia Rachman Hardina , Kurniawan Subagja Iwan , Hakim Azis , Ermanto Conrita , Ali Akbar
Published: June 2024

Kebijakan penggunaan kartu kredit dikeluarkan oleh pemerintah melalui Peraturan Menteri Keuangan Nomor 97/PMK.05/2021 tentang perubahan atas Peratrutan Menteri Keuangan Nomor 196/PMK.05/2018 tentang Tata Cara Pembayaran dan Penggunaan Kartu Kredit Pemerintah serta perubahan yang mengatur mengenai teknis pelaksanaan pemabayaran dan penggunaan kartu kredit sebagai alat pembayaran belanja barang atas beban Anggaran Pendapatan dan Belanja Negara (Selanjutnya disingkat APBN). Penelitian ini bertujuan untuk mengetahui dan menganalisis implementasi kebijakan penggunaan Kartu Kredit Pemerintah yang telah diterapkan pada Sekretariat Badan Standardisasi Instrumen Lingkungan Hidup dan Kehutanan berdasarkan efektivitasnya dalam meningatkan nilai indikator kinerja pelaksanaan anggaran. Jenis penelitian ini adalah penelitian deskriptif kualitatif. Hasil penelitian menunjukkan bahwa penerapan Kartu Kredit Pemerintah Sekretariat Badan Standardisasi Instrumen Lingkungan Hidup dan Kehutanan sudah sesuai dengan ketentuan yang berlaku. Implementasi Kartu Kredit Pemerintah pada Sekretariat Badan Standardisasi Instrumen Lingkungan Hidup dan Kehutanan dinilai efektif dari segi pengukuran efektivitas seperti pencapaian tujuan, integrasi dan adaptasi. Kajian ini memberikan gambaran tentang bagaimana implementasi penggunaan kartu kredit pemerintah dalam meningkatkan nilai indikator pelaksanaan anggraan sehingga mampu meningkatkan kualitas pengelolaan keuangan APBN sebagai wujud good governance.
The Role Of Organizational Commitment In Mediating The Influence Of Transformational Leadership And Organizational Culture On Employee Performance
Authors: Sholihin Mokhamad , Suswati Endang , Priyatna Navi Muda
Published: June 2024

This study aims to examine and analyze the influence of: 1) transformational leadership on organizational commitment, 2) organizational culture on organizational commitment, 3) transformational leadership on performance, 4) organizational culture on performance, 5) organizational commitment on performance, 6) transformational leadership on employee performance through organizational commitment, 7) organizational culture on employee performance through organizational commitment.  This research uses an explanatory research approach, conducted at the SATPOL PP office of Mojokerto Regency. The population amounted to 59 civil servants, then sampled by census techniques.  Primary data related to research variables were obtained through questionnaires given directly to respondents. Once the data is collected, it is further analyzed using path analysis. However, previously tests were carried out on validity, reliability and classical assumptions. To test the hypothesis, a t-test with an alpa of 5% is used, and to determine the organizational commitment to act as a mediator, the Sobel test with an alpa of 5% is used. The results of this study prove that: 1) transformational leadership has a significant effect on organizational commitment; 2) organizational culture has a significant effect on organizational commitment; 3) transformational leadership has no effect on employee performance; 4) organizational culture has a significant effect on performance; 5) organizational commitment has no effect on employee performance; 6) organizational commitment does not play a role in mediating the influence of transformational leadership on performance; 7) Organizational commitment plays a role in mediating the influence of organizational culture on performance.
Evaluation of the Drinking Water Quality Index in Dibis District – Kirkuk
Authors: Al-Taay Omar Taha Mahmoud , Abdulqader Rushdi Sabah
Published: June 2024

In this study, a weighted mathematical model was utilized to evaluate the water quality of the filtration station in the Al-Dibs district. The assessment was conducted at five different sites from October 2023 to April 2024. Various characteristics of the water samples were measured, encompassing physical properties like turbidity, total suspended solids, total dissolved solids, and electrical conductivity. Additionally, chemical properties such as pH, total alkalinity, total hardness, calcium hardness, magnesium hardness, chloride, total nitrogen, and available phosphorus were analyzed. Bacterial properties, including total bacterial count, coliform bacteria, and fecal bacteria, were also assessed. The study monitored various sites along the Lower Zab River, including the raw water collection point, water pumping area, Oil Quarter, Diyarbakır Quarter, and Kolan Quarter. Results revealed unsatisfactory water quality at the raw water collection point, while excellent quality was observed at the other sites (2, 3, 4, 5). The water quality index rankings were as follows: 18.10, 17.61, 47.96, 30.40.These findings suggest that the water treatment station effectively produces water suitable for daily sanitary purposes.
METHODS AND CONDITIONS FOR EFFECTIVE MASTERING PRINCIPLES OF GYMNASTICS
Authors:   Teacher of the Uzbek state university of physical education and sport, Uzbekistan, Xudaybergenovna Kenjayeva Sayyora
Published: June 2024

This article describes the methods and conditions for effective mastery of gymnastic exercises using the principles of successful organization of gymnastic exercises.
Proceso creativo:
Authors: Pozo Puértolas Rafael
Published: June 2024

Este ensayo describe a partir de un enfoque holístico cómo se estructura un proceso creativo en el diseño gráfico, desde el ámbito profesional. Para comprender cómo se desarrolla, lo exploramos desde cuatro perspectivas diferentes: espiritual, cognitiva, biológica y pragmática. Con la finalidad de determinar una tabla donde se representa un patrón de etapas secuenciales, en relación con los posibles condicionantes que influyen en el proceso creativo. Entendemos que esta aportación será de utilidad, para analizar y evaluar un determinado proceso creativo.
cartografía interactiva pone en valor las edificaciones patrimoniales preexistentes
Authors: Gutiérrez González María José
Published: June 2024

La especulación del espacio, la contaminación y un estilo de vida poco sostenible son problemáticas de la ciudad contemporánea. Una estrategia para paliar este contexto es a través del respeto con otros fragmentos del pasado, como son los componentes rurales históricos. Por su carga de singularidad y valor cultural. Ante esta situación se realiza una cartografía artística interactiva, para visualizar esta problemática en la ciudad de València. Se muestra el deterioro de la arquitectura vinculada con la cultura de irrigación, como el estado de los molinos, alquerías y asociados a la acequia Rascanya, una de las ocho acequias históricas.