bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Table Tennis Trajectory Based on Optimized Unscented Kalman Filter Algorithm
Authors: Yan Kun
Published: July 2024

This study introduces an innovative trajectory prediction algorithm for table tennis, employing an optimized Unscented Kalman Filter (UKF) combined with a Simple Physical Motion (SPM) model. The conventional UKF algorithm, while effective in real-time predictions, often encounters significant deviations in short-term forecasts, especially when dealing with abrupt changes in a table tennis ball’s motion. To address this, our approach integrates UKF with SPM, effectively predicting the ball’s trajectory pre- and post-collision. The method begins by using UKF to predict the ball’s trajectory and landing point before collision, taking into account factors such as air resistance, gravity, and the Magnus force caused by the ball’s rotation. After collision, the trajectory is forecasted using a simplified collision rebound model and a kinematic model. This dual-phase approach significantly reduces trajectory prediction errors post-collision. This algorithm’s practical application is demonstrated in a constructed table tennis robot system, highlighting its superior real-time performance and accuracy, particularly in post-collision trajectory prediction. This makes it a valuable tool for advanced table tennis training and robotic interaction systems. This study contributes to the field of machine vision and robotic interaction by presenting a more efficient and accurate method for trajectory prediction, particularly in dynamic environments like table tennis. The algorithm’s lower hardware requirements, combined with its robustness and simplicity, underscore its potential in broader applications where accurate real-time trajectory prediction is crucial. This development not only advances the field of sports robotics but also has implications for various industrial and research applications where precise object tracking and prediction are essential.
Construction and application of a core competitiveness evaluation index system for public health personnel training based on the CIPP model
Authors: Luo Ma
Published: July 2024

BACKGROUND: With the change of human disease spectrum and the increase of public emergencies, the public’s demand for health services and health is gradually increasing and higher expectations are placed on public health personnel. OBJECTIVE: Research needs to establish a comprehensive system of evaluation indices for accurate assessment of the core competencies of public health personnel, to enhance their core competitiveness, and introduce novel approaches to evaluate talent development in the field of public health. METHODS: The study is based on the CIPP (Context Input Process Product) model and uses literature analysis, semi-structured interviews, and Delphi methods to construct an evaluation index system for the core competitiveness of public health talent cultivation. The entropy method is used to determine the weight of the model evaluation index. Finally, the improved Artistic Be Colony algorithm (ABC) is used to optimize the BP network, and apply it to evaluate the core competitiveness of public health talent cultivation. RESULTS: The improved BP network achieved the target accuracy within 11 iterations, with the optimal value observed after 16 iterations, producing an MSE (Mean Square Error) value of 10–13. The evaluation of the index system reported a 97% accuracy, and upon application to the university’s public health training programme, nearly 50% of students and teachers achieved core competitiveness quality scores above 90. CONCLUSIONS: The aforementioned method suggests that it can proficiently assess the fundamental competitiveness of training for public health personnel and offer guidance for future development in the domain of public health.
Creative influence prediction using graph theory
Authors: Alfieri Francesco , Asprino Luigi , Lazzari Nicolas , Presutti Valentina
Published: July 2024

Creative influence is responsible for a considerable part of the creative process of an artist and can largely be associated with their social circle. It has been observed that the type and amount of relationships with other fellow artists correlates with the success of an artist. Most of the recent literature has focused on using artefact similarity as a proxy for creative influence between two artists. However, this approach neglects the significance of an artist’s social network. In this work, we rely on an ontology that comprehensively model the relationship between individuals as a Knowledge Graph and we design an explainable method based on graph theory to predict the influences of an artist given their social network. We evaluate our method on a dataset of relationships between Jazz musicians and achieve accurate results when compared to baselines that rely on the distribution of the data. Our results are aligned with relevant works from the socio-cognitive and psychology fields. We show that our method generalises to resources where information on influence is not directly available and can be used to enrich existing Knowledge Graphs. The code and the ontology developed is shared at https://github.com/n28div/influence_prediction under CC-BY license.
Advanced hybrid closed loop (artificial pancreas) and carbohydrate count in type 1 diabetes
Authors: Pollakova Daniela , Lauria Pantano Angelo , Di Folco Ugo , Nardone Maria Rosaria , Tubili Claudio
Published: July 2024

BACKGROUND: Postprandial Glucose Excursion (PPGE) control is one of the goals of diabetes therapy. Patients should count meal carbohydrates but it is often inaccurate. Automated Advanced Hybrid Closed Loop (AHCL) systems may overcome carbohydrate count mistakes and aid to improve PPGE control. OBJECTIVE: To evaluate the effect of switching from manual Sensor Augmented Pump (SAP) to AHCL on PPGE in Type 1 Diabetic (T1D) subjects. METHODS: In 15 T1D patients using manual SAP, the Area Under the Curve (AUC) after breakfast, lunch and dinner was calculated for two weeks before (T0), immediately (T1) and 3 months (T2) after switching to 780 G AHCL system. Total Daily Dose (TDD), Time Above/Below/In Range (TAR, TBR, TIR), BMI, A1c, lipid profile and Treatment Satisfaction Questionnaire (DTSQ) were considered. RESULTS: A significant reduction in AUC was observed for breakfast and dinner at T2 and for lunch and dinner at T1. TIR increased, while TAR and TBR reduced significantly from T0 to T1 and T2. For A1c, BMI and plasma lipids no statistically significant differences were observed, although A1c decreased from 7.2% to 6.8%. TDD increased significantly, due to the automatic correction boluses. DTSQ score at T2 was 33 (range 32–34, max 36). CONCLUSIONS: After switching to AHCL, PPGE decreased rapidly by automatic correction boluses, without weight gain. Meal management simplification and glucose control improvement were associated with high satisfaction scores.
Factors Influencing Consumer Purchase Interest in Shopee and Tokopedia
Authors: Imari Iqbal , Abadi M. Kurnia Rahman , Akbar Muhammad Ridho
Published: July 2024

The phenomena of internet usage, which is anticipated to grow over time, presents a new economic potential for e-commerce. One of the businesses owned by Pondok Modern Gontor, situated in Ponorogo City, East Java, is La Tansa Gontor Book & Stationery Store which currently also using e-commerce. This study aims to investigate the factors that influence consumer purchase interest in e-commerce used by La Tansa. The Theory of Planned Behavior, popularized by Icek Ajzen, is the theory applied in this study. This hypothesis is predicated on three different variables: behavioral attitude, subjective norms, and perceived behavioral control. In this study, a descriptive survey method is combined with a quantitative approach. With a sample size of 358 participants, the population in this study consisted of the 3,416 followers in marketplace platform. Several linear regression tests were employed in this investigation. A total score of 31,038 indicated that the aspects of product price and quality were thought to be very influential. The product pricing component, one of the two variables included in the study, had the most significant impact on consumer purchasing interest. With a 66.3% percentage. Product quality, on the other hand, has a 11.48% influence on consumer purchasing interest. Overall, the factors of product price and product quality jointly affect consumer purchasing interest with a significance of 0.05 and a F computed value of 293,715 F table 3.021, indicating that both factors have an impact.
Analysis of tower structure for fatigue taking into account wind vortex shedding
Authors: Nuzhnyi Valery , Dayrov Myhailo
Published: July 2024

Vortex shedding is manifested in all tower structures with a solid or lattice cross-section with relatively equal width and depth of the cross-section. The phenomenon is associated with the alternate breakdown of vortices from the edges of the structure, which cause it to oscillate under the influence of inertial masses in a plane perpendicular to the wind. The main condition for the manifestation of vortex shedding is the action of wind with a speed exceeding a certain critical one. As shown by calculations of a real tower structure, oscillations according to the first natural frequency and shape occur already under the influence of a moderate wind. This requires attention, assessment of the number of oscillation cycles and the implementation of criteria for taking into account the combined effect of frontal wind and vortex shedding on the structure and calculation of the structure for endurance. The paradox is that this phenomenon is not widely known in engineering practice, and instructions on the mandatory calculation of structures for vortex excitation appeared only with the implementation of amendment 2 to DBN B.1.2-2:2006 "Loads and influences. Design norms" in 2020. In this analyzed state of research on this issue, an available method for calculating vortex excitation, introduced in EN 1991-1-4:2005, is presented. The calculation and analysis of the McDonald's advertising totem with a height of 25.575 m, implemented in Kyiv in 2016, was performed.
Calculations showed that this structure is characterized by oscillations due to vortex shedding. From the available sources of meteorological data, an approximate number of oscillation cycles was determined, criteria for calculating the structure's durability were determined, and generalizations were made that can be applied to all structures. In particular, it is pointed out the need to limit stresses beyond the endurance limit in two ranges - parametric resonance from the frontal wind, and sign-changing cyclic oscillations from vortex excitation. An analysis of the effective cross-sections and effective structural forms of building details when working under the action of a frontal wind with vortex shedding was carried out.
Analysis of the building on the air shock wave by direct dy-namic method (with LIRA-FEM soft-ware)
Authors: Romashkina Maryna , Pisarevskyi Bohdan , Zhuravlyov Olekii
Published: July 2024

Calculation of the impact of air shock waves on buildings is extremely important for our country, which is in a state of war. Studying the structural safety and survivability of load-bearing reinforced concrete structures under influence is an important task, especially for critical infrastructure facilities. A blast scenario can be carried out directly in an FEA program as a time history analysis evaluate varying levels of structural damage and to minimize loss of life.The article is devoted to the features of the calcula-tion of buildings under the influence of air shock waves using the finite element method using the LIRA-FEM software complex. The features of ex-plosive loads, typical shock wave parameters, and the order of analysis for explosive loads are taken into consideration. The primary distinctions be-tween shock or explosion impacts and regular loads are explained. In-depth consideration is given to the problems of determining shock wave parameters and how they affect structures. Also included are the techniques for evaluating structures for explosive impacts.Using LIRA-FEM software, a preliminary analysis of the explosion resistance of a one-story building with a metal frame and sheet metal wall infill is carried out. It is demonstrated how to define impulse loads from a shock wave to the side walls, roofs, rear walls, and walls facing the explosion. The article describes the peculiarities of the "Time History Analysis" system in the LIRA-FEM program for ex-plosion dynamics problems.This analysis helps in the assessment of risks in the design of protective structures, development of pro-ject solutions and conducting research in the field of explosion safety.
Analisis Korelasi Antara Implementasi Sanitasi Total Berbasis Masyarakat (STBM) Pilar 2 dan 3 dengan Tingkat Kejadian Diare di Desa Lagego, Kecamatan Burau, Kabupaten Luwu Timur
Authors: Hasta Meisya , Hidayat Hidayat , Sulasmi Sulasmi , Haderiah Haderiah
Published: July 2024

Diare adalah buang air besar sebanyak tiga kali atau lebih dalam sehari dengan konsistensi tinja yang lembek sampai mencair yang mungkin dapat disertai dengan muntah atau tinja yang berdarah. Penelitian ini bertujuan untuk mengetahui Hubungan Penerapan Sanitasi Total Berbasis Masyarakat (STBM) Pilar 2 Dan 3 Dengan Kejadian Diare Di Desa Lagego Kecamatan Burau Kabupaten Luwu Timur. Jenis penelitian ini adalah observasional analitik dengan pendekatan secara Cross Sectional yaitu turun langsung ke lapangan dengan menggunakan kuesioner untuk mengetahui hubungan sebab akibat antara dua variabel secara observasional. Hasil penelitian ini menunjukkan bahwa terdapat 56 responden yang belum melakukan penerapan STBM pilar 2 dan 30 responden yang telah melakukan penerapan STBM pilar 2. Sedangkan untuk penerapan STBM pilar 3 terdapat 11 responden yang belum melakukan penerapan STBM pilar 3 dan 47 responden yang telah melakukan penerapan STBM pilar 3. Hasil analisa menunjukkan bahwa adanya hubungan penerapan sanitasi total berbasis masyarakat (STBM) pilar 2 dengan kejadian diare (p=0,000<0,05) dan pilar 3 dengan kejadian diare (p=0,001<0,05). Hal ini disebabkan karena masyarakat masih menganggap perilaku cuci tangan pakai sabun dan pengelolaan air minum makanan rumah tangga tidak termasuk dalam hal – hal yang sangat penting untuk dilakukan. Masyarakat khususnya yang berada di lokasi penelitian masih banyak yang belum menerapkan program STBM Pilar 2 dan 3 sehingga masyarakat yang menderita diare masih banyak. Sehingga masyarakat disarankan untuk dapat menerapakan program STBM pilar 2 (cuci tangan pakai sabun) dan pilar 3 (pengelolaan air minum makanan rumah tangga) agar terhindar dari kejadian penyakit diare
Kata kunci : Sanitasi Total Berbasis Masyarakat, Pilar 2 dan 3 STBM, Diare
New computational methods using seventh-derivative type for the solution of first-order initial value problems
Authors: Victor Oboni ATABO , Adee Solomon Ortwer , Olatunji Peter Oluwafemi , Danjuma Yahaya Jibrin
Published: July 2024

This study uses finite power series as the basis function and interpolation and collocation techniques to study a class of implicit block methods of a seventh-derivative type. Discrete schemes are implicit two-point block methods that are obtained by selecting collocation points carefully and unevenly in order to improve the stability of the methods through testing. Nevertheless, in contrast to other current numerical equations, these methods require seventh-derivative functions. The novel techniques are identified, examined, and shown to be A-stable and convergent. Newton Raphson’s approach is used to accomplish method implementation. Trials demonstrated the effectiveness and precision of the derived equations in terms of computational time and absolute errors on a variety of first-order initial value issues, such as first-order, second-order linear differential systems and SIR model. When compared to similar methods that are currently in the literature, the suggested methods produce better numerical results.
SAVE: Steps in Achieving Viable Energy—Leader Guide
Authors: Mitten Nathan , Ingley H.A. (Skip) , Kochert Jessica , Jordan Joy C.
Published: July 2024

The 4-H SAVE project is an energy education curriculum that targets youth, ages 11 to 13. The project takes youth on a journey through the exciting world of energy.
Youth start the journey by learning about what energy is, the different forms energy can come in, and how it can transform from one form into another. Once they have mastered the forms in which energy can exist, they will search out where that energy comes from by investigating the wide variety of energy sources. The journey continues as youth investigate the various ways that energy is used, both through natural and man-made processes. Finally, the journey concludes with a closer look into the ways the world we live in is impacted, both positively and negatively by our energy use. Original publication date January 2011.
4-H Livestock Judging: Introduction and Leader's Guide
Authors: Carr Chad , Crosswhite Justin , Johnson Amanda
Published: July 2024

This document is an educational guide. It serves as a curriculum resource within the Florida 4-H program, specifically designed for teaching livestock judging to young people aged 11-18. The guide emphasizes the development of various life skills through judging activities, such as communication, decision making, and organizational skills, while also aiming to boost confidence and self-esteem among participants.
The document is intended for 4-H leaders and coaches, providing encouragement and guidance for those who may lack extensive background knowledge in animal science. It highlights the importance of animal science within the Florida 4-H educational framework and underscores the positive impact of livestock judging programs on youth development. The guide also aims to reassure and support potential leaders, emphasizing that successful programs can be led effectively without requiring advanced subject matter expertise. Original publication date November 1992.
Spiderwort Control in Hay Fields and Pastures
Authors: Durham Michael , Ferrell Jason , Sellers Brent
Published: July 2024

This document is about Spiderwort (Tradescantia ohiensis Raf.). This is a native perennial species found throughout the eastern half of the US. It has a large, fleshy stem with long and grass-like leaves. Spiderwort emerges in early spring, then flowers and produces seed through midsummer. This plant is problematic in grazing systems because it is largely avoided by cattle. The large, fleshy stem also makes this plant an issue in hay production. When cut with a grass forage, spiderwort does not dry at the same rate as grass and can cause spoilage when the hay is baled.
Guide to Scale Insect Identification
Authors: Futch Stephen H. , McCoy C.W. , Childers C.C.
Published: July 2024

Control of scale insects in Florida citrus utilizes native and introduced exotic natural enemies, including predators, parasites, and pathogens. Under most conditions, predators and parasites suppress scale pest populations to a level where chemical intervention is unnecessary. In situations where natural enemies do not provide the necessary control, integrated pest management (IPM) is used since it minimizes negative effects on natural enemies. Increases in scale insect populations involve multiple factors including: a) disruption of biological control by weather; b) infestation of areas by scale insects where natural enemies do not exist; and c) disruption of natural enemies by the repeated use of non-selective pesticides.
Design Suggestions and Greenhouse Management for Vegetable Production in Perlite and Rockwool Media in Florida
Authors: Hochmuth George , Hochmuth Robert
Published: July 2024

The purpose of this publication is to present suggestions and options for designing and operating a greenhouse for vegetable production in solid media systems. While developed through perlite and rockwool research, these recommendations also would apply to other solid media, such as peat, pine park mixes or coco fiber. The major design considerations are those pertaining to the floor design for the media system and irrigation system design. Suggestions also are presented for general greenhouse design and operation for tomato culture. Many of these design and management suggestions would apply to houses with other production systems, e.g., upright bag or peat-trough, and in most cases would be applicable for cucumbers, eggplant, and pepper. First published Oct. 1990.
Native Wildflowers -- Coreopsis lanceolata L.
Authors: Norcini Jeffrey G.
Published: July 2024

This document is about the genus Coreopsis a Florida's State Wildflower. Coreopsis lanceolata, lanceleaf coreopsis, is an evergreen to semi-evergreen perennial that is one of 14 native coreopsis species found in Florida. It primarily occurs in north Florida, but has been observed as far south as Lake County. Seed from commercial sources has been planted along roadways, although native populations are also found on roadsides. First published Dec. 1999.
Chilling Injury in Tropical Foliage Plants: I. Spathiphyllum
Authors: Chen J. , Qu L. , Henny R.J. , Robinson C.A. , Caldwell R.D. , Huang Y.
Published: July 2024

This document is about the genus Spathiphyllum, commonly known as Peace Lily, which has about 36 species. Most species originate in Central and South America, but two have their native habitat in the Malay Archipelago. Because of their elegant white spathes, deep green foliage, and ability to tolerate low light, Peace Lily has become one of the most popular ornamental foliage plants. First published Sept. 2001.
Impact of Data Augmentation on the Hate Speech Detection in Portuguese Language
Authors: Silva Félix , Cerri Artur , Brisolara Corrêa Ulisses , A. de Freitas Larissa
Published: July 2024

Online communities allow users to establish a web presence, manage their identities, and stay connected with others. The internet has facilitated global outreach with just a click on the World Wide Web. However, the current landscape of online social media platforms are marred by various issues, with hate speech prominently taking center stage. Hate speech is characterized by hostile and malicious language driven by prejudice, targeting individuals or groups based on their innate, natural, or perceived characteristics. Detecting such speech is crucial for maintaining a safe online environment. This study examines the impact of dataset regularization techniques on the performance of BERTimbau-based models when applied to four Portuguese hate speech datasets: Fortuna et al. (2019), OFFCOMBR-2, ToLD-BR, and Hate-BR. Four Data Augmentation techniques are evaluated: Oversampling, Undersampling, Text Augmentation, and Synonym Replacement. Our experiments revealed that, apart from the Fortuna et al. (2019) dataset, the Data Augmentation techniques did not significantly enhance the performance of hate speech detection tasks.
Advancing Precision Healthcare Analytics: Machine Learning Approach-es for Diabetes Prognosis using the PIMA Indian Dataset
Authors: Wajahat Iram , Keshtkar Fazel , Bukhari Sayed Ahmad Chan
Published: July 2024

The prevalence of diabetes presents a significant global health challenge, necessitating practical prognostic tools for timely intervention. Harnessing machine learning offers a promising avenue for accurate prediction, aiding in early detection and prevention. This study delves into the development of machine learning models for diabetes prognosis, leveraging the PIMA Indian dataset. Emphasizing the importance of early detection, the research underscores diabetes as a modifiable condition through lifestyle adjustments. By analyzing diverse healthcare data, including electronic health records and imagery, machine learning algorithms can unveil latent patterns crucial for timely diagnosis. This project has three objectives: 1) To find the significant features contributing to diabetes, 2) To develop a predictive model for diabetes prediction, and 3) To find an optimal model for diabetes prediction, comparing the performance of models. The research methodology encompasses a range of statistical and machine-learning algorithms applied to the PIMA dataset to identify optimal prediction methods. Our research underscores the pivotal role of glucose levels as the foremost predictor of diabetes across all models examined, reaffirming the significance of this metabolic marker in diabetes prognosis. The findings highlight logistic regression efficacy in feature extraction and prediction accuracy over random forest, K nearest neighbors (KNN), and deep neural (DL) networks, suggesting its potential for automated prognostic tools. Furthermore, omics data integration promises to enhance DL model performance, paving the way for robust diagnostic solutions.
Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora
Authors: Rajaei Moghadam Mina , Rezaei Mosab , Williams Miguel , Aygen Gülşat , Freedman Reva
Published: July 2024

This paper presents an analysis of the differences between written text and the transcription of spoken text using current Natural Language Processing (NLP) methods. The purpose of the study is to investigate the long and rich history of attempts to differentiate spoken and written text in fields such as linguistics, communication, and rhetoric, which date back to the early 20th century. Given the availability of large quantities of machine-readable data and machine learning algorithms that can handle them, it is possible to use a large number of derived features. The research focuses on syntactic and lexical differences in written books and transcriptions of speeches by United States presidents. The analysis investigates morphological, lexical, syntactical, and text-level aspects. In this process, multiple features have been considered including lexical diversity, syllable count, frequency of parts of speech, and features relating to the parse tree, like the average length of noun phrases, and the use of interrogative sentences, among others. This study will enhance our understanding of the difference between written text and the transcription of spoken text in various disciplines including computer science, applied linguistics, communication, and similar fields.
Beyond Size and Accuracy: The Impact of Model Compression on Fairness
Authors: Kamal Moumita , Talbert Douglas
Published: July 2024

Model compression is increasingly popular in the domain of deep learning. When addressing practical problems that use complex neural network models, the availability of computational resources can pose a significant challenge. While smaller models may provide more efficient solutions, they often come at the cost of accuracy. To tackle this problem, researchers often use model compression techniques to transform large, complex models into simpler, faster models. These techniques aim to reduce the computational cost while minimizing the loss of accuracy. The majority of the model compression research focuses exclusively on model accuracy and size/speedup as performance metrics. This paper explores how different methods of model compression impact the fairness/bias of a model. We conducted our experiments using the COMPAS Recidivism Racial Bias dataset. We evaluated a variety of model compression techniques across multiple bias groups. Our findings indicate that the type and amount of compression have substantial impact on both the accuracy and fairness/bias of the model.
Evaluating Graph Attention Networks as an Alternative to Transformers for ABSA Task in Low-Resource Languages
Authors: Gomes Gabriel , T. Bender Alexandre , Cerveira Arthur , A. Freitas Larissa , B. Corrˆea Ulisses
Published: July 2024

Opinions toward subjects and products hold immense relevance in business to guide decision-making processes. However, due to the increase in user-generated content, manual analysis is unrealistic. Techniques such as Sentiment Analysis are paramount to understanding and quantifying human emotion expressed in text data. Aspect-Based Sentiment Analysis aims to extract aspects from an opinionated text while identifying their underlying sentiment. Graph-based text representations have been shown to bring benefits to this task, as they explicitly represent structural relationships in text. While studies have demonstrated the effectiveness of this representation for Aspect-based Sentiment Analysis using Graph Neural Networks in English, there is only sparse evidence of improvement using these techniques for low-resource languages such as Portuguese. We develop a straightforward Graph Attention Network model for the Aspect-Based Sentiment Analysis task in Brazilian Portuguese. The proposed approach achieves a Balanced Accuracy score of 0.74, yielding competitive results and ranking third place in the ABSAPT competition. Furthermore, by leveraging sparse graph connections our model is less computationally demanding than a Transformer architecture in terms of training and inference.
Application of anti-money laundering measures during the investigation of crimes related to drug trafficking in Kazakhstan
Authors: Daurembekov Ye. ,   L.N. Gumilyov Eurasian National University
Published: July 2024

This article discusses the current problems of improving anti-money laundering measures in the investigation of crimes directly related to the illicit trafficking of narcotic drugs and psychotropic substances in Kazakhstan. The author highlights the organizational and legal aspects of the identification and further investigation of criminal offenses related to drug trafficking, as well as the criminalistic characterization of their sale and subsequent money laundering. The practical experience of law enforcement agencies and international organizations whose activities are aimed at suppressing money laundering and drug trafficking is being studied. Based on the analysis, the author concludes that it is necessary to develop systematic measures to combat money laundering in the legalization of criminal proceeds. A study is being conducted on the activities of the informal organization Egmont group in recent years, information on money laundering from drug trafficking. The purpose of the study is to identify effective measures to combat money laundering by examining statistical data and empirical evidence of crimes related to illicit trafficking in narcotic drugs and psychotropic substances. In studying this problem, various scientific research methods were used, which made it possible to objectively and comprehensively disclose certain provisions of the topic of the article. As a result of the conducted research, the author draws conclusions and suggests measures to counter money laundering in the shadow economy.
The Tax Avoidance Practice of Indonesian Mining Companies
Authors: Widyowati Lestari Adhi , Rani Inta Hartaningtyas , Jalih Jara Hardiyanti
Published: July 2024

The mining sector in Indonesia is one of the most significant contributors to state revenue through taxation. The mining industry contributed 33.431 trillion in the first semester of 2019. Although the amount seems significant, it would be bigger if mining companies did not avoid paying taxes. This research aims to analyze the role of institutional ownership in moderating the influence of profitability, thin capitalization, and inventory intensity on tax avoidance. This research uses MRA to analyze data on mining companies listed on the IDX from 2018 -2022. Data was collected from the population using purposive sampling to produce 60 samples. The research results show that profitability and thin capitalization variables impact tax avoidance, while inventory intensity differs. Institutional ownership moderates the impact of low profitability and thin capitalization on tax avoidance. However, there is no proof that this lessens the effect of inventory intensity on tax avoidance. By choosing a group of variables that affect tax avoidance, this study fills a knowledge gap in the influence of institutional ownership as a moderating variable. Future research can replicate this research by expanding the industry that is the object of research, extending the period, and using different analysis tools.
Pitutur Jawa: Mohon, Mangesthi, Mangesti, Marem Dalam Praktik Konsultan Pajak
Authors: Putri Tanti Sasongko , Rahmiati Alfa
Published: July 2024

Budaya Jawa dikenal dengan nilai-nilai yang sangat dijunjung tinggi mencakup berbagai nasihat kehidupan, termasuk mengenai tata krama, etika, keadilan dalam hukum, serta interaksi sosial. Namun tidak jarang terjadi pelanggaran terhadap nilai-nilai tersebut. Konsultan pajak mungkin berada dalam situasi di mana dia harus mengambil keputusan yang menimbulkan dilema etis. Penelitian ini bertujuan untuk mendalami bagaimana nilai-nilai dalam pitutur Jawa seperti Mohon, Mangesthi, Mangastuti, dan Marem tercermin dalam praktik konsultan pajak. Menggunakan metode kualitatif dengan konsep yang mengaitkan pitutur jawa dengan praktik konsultan pajak, data disajikan secara deskriptif. Hasilnya menunjukkan bahwa nilai-nilai budaya Jawa tersebut memiliki relevansi yang kuat dengan praktik konsultan pajak. Mereka dapat menjadi landasan spiritual dan moral yang kokoh bagi konsultan pajak dalam menjalankan tugas mereka dengan integritas, komitmen untuk kebaikan bersama, dan kesadaran akan tanggung jawab moral mereka sebagai penasihat pajak. Keterbatasan penelitian ini adalah fokus yang terbatas hanya pada praktik konsultan pajak yang berdasarkan pada nilai-nilai budaya Jawa.
The “Reverse Course” in the policy of the USA towards Japan in 1947-1952
Authors: Kolyada Igor ,   Mykhailo Drahomanov Ukrainian State University, Tseiher Igor ,   Mykhailo Drahomanov Ukrainian State University
Published: July 2024

The purpose of the research is to analyze the evolution of the foreign policy course of the USA in relation to post-war Japan and to show the economic, political, and strategic achievements of the "Reverse Course". The research methodology is based on the principles of historicism, comprehensiveness and multi-vectority, objectivity and systematicity. The scientific novelty lies in the fact that Ukrainian historiography on the issue of the history of post-war Japan is extremely small and has a number of white spots, in particular, on the issue of cooperation between the Japanese government and the American military administration. Conclusions. American policy in Japan proves that yesterday's enemy can become a potential partner and, even more so, an ally in the future. Having paid a bloody price for the victory, the USA began radical reforms in Japan, which were aimed, at least in the first period of occupation, at the demilitarization and deindustrialization of yesterday's enemy. However, practice has shown that building a strong and structural economy, liberalizing and democratizing political processes work much more effectively. After the end of the Korean War, Japan's economy started to grow steadily and very soon led to the famous "economic miracle." Modern Japan is a successful democratic state that ranks among the top five in terms of GDP and other economic indicators and is a pioneer in the latest technologies and science. The example of Japan, in our opinion, is indicative and proves that a country that has survived a devastating war with terrible losses can recover if deep and comprehensive reforms are carried out in all social, political, cultural, and economic spheres.
Pengelompokan Faktor-Faktor yang Mempengaruhi Curah Hujan di Provinsi Sumatera Utara Menggunakan Metode Fuzzy C-Means
Authors: Supriyanti Kamalina Rosyida , Damiri Bravina Aulia , Ramadhan Wulan Nur
Published: July 2024

Latar   Belakang: Di Indonesia, kondisi curah hujan dipengaruhi oleh berbagai faktor, termasuk kondisi fisiografis, pola angin, dan perubahan iklim. Kondisi curah hujan di Sumatera Utara pada tahun 2020 bervariasi di berbagai wilayah. Pada tahun 2020  curah hujan di Sumatera Utara berada pada angka 4.380 mm di mana angka tersebut termasuk angka tertinggi dari curah hujan normal yang berada dalam kisaran 1000-3000 mm per tahun.
Tujuan: Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi tingkat curah hujan di Provinsi Sumatera Utara.
Metode: Metode analisis data yang digunakan adalah Fuzzy C-Means. Penelitian ini menggunakan data sekunder yang bersumber dari BPS Sumatera Utara. Data yang diambil berupa data curah hujan, kelembapan udara, kecepatan angin, penyinaran matahari, dan penguapan di beberapa stasiun di Provinsi Sumatera Utara pada tahun 2020.
Hasil: Hasil analisis yang didapat yaitu menetapkan dua cluster pada penelitian ini, stasiun BMKG dapat dikelompokkan menjadi cluster 1 (Deli Serdang, BMKG Wilayah I, Marihat, Pinangsori, dan Gunung Sitoli) dan cluster 2 (Belawan dan Tanjung Morawa). Dengan begitu, metode Fuzzy C-Means Clustering memberikan hasil yang baik dalam mengelompokkan faktor-faktor curah hujan.
Kesimpulan: Penerapan metode Fuzzy C-Means memberikan hasil yang baik dalam mengelompokkan faktor-faktor curah hujan.
Pembelajaran media audio visual dalam Pendidikan Jasmani: Systematic literatur review
Authors: Fauzan Muhammad Ghani , Rahmat Alit , Carsiwan Carsiwan
Published: July 2024

Pembelajaran Media Audio Visual telah menjadi komponen integral dalam pengembangan metode pembelajaran, terutama dalam konteks Pendidikan Jasmani dan Kesehatan (Penjas). Penelitian ini menggunakan metode SLR (Systematic Literature Review) yang terkait dengan pemanfaatan media audio visual dalam konteks pembelajaran Penjas. Kajian ini memaparkan tinjauan terhadap artikel-artikel ilmiah, jurnal, serta publikasi terkait yang menggambarkan peran, efektivitas, dan implementasi media audio visual dalam pembelajaran Penjas. Analisis ini melibatkan aspek-aspek seperti jenis media yang digunakan, teknik penerapan, reaksi siswa, pencapaian tujuan pembelajaran, serta perbandingan dengan metode konvensional. Hasil kajian menyoroti bahwa pemanfaatan media audio visual secara konsisten memberikan kontribusi positif terhadap efektivitas pembelajaran Penjas. Beragam teknik, mulai dari video pembelajaran, animasi, hingga simulasi, telah menunjukkan peningkatan dalam pemahaman materi, partisipasi siswa, dan motivasi belajar. Namun, kajian ini juga menyoroti kebutuhan akan penelitian lebih lanjut untuk memahami konteks-konteks spesifik di mana penggunaan media ini paling efektif. Dengan demikian, kajian ini memberikan landasan yang kuat bagi pengembangan lebih lanjut dalam pemanfaatan media audio visual dalam lingkup Pembelajaran Penjas. Implikasi praktisnya menekankan pentingnya integrasi teknologi dalam proses pembelajaran untuk meningkatkan kualitas pendidikan di bidang ini.
ЛЮДСЬКИЙ КАПІТАЛ ЯК ВИЗНАЧАЛЬНИЙ ЧИННИК РОЗВИТКУ ТЕРИТОРІАЛЬНИХ ГРОМАД В УКРАЇНІ
Authors: Дзвінчук Дмитро Іванович , Бурса Олег Іванович
Published: July 2024

У статті йдеться про людський капітал як основний чинник розвитку територіальних громад в Україні. Актуалізується необхідність дослідження людського капіталу у зв’язку із процесами децентралізації в Україні та становленням економіки знань. Людський капітал розглядається як фундаментальна основа трудового потенціалу територіальної громади. Людський капітал виступає фактором виробництва, що приносить дохід в результаті ефективного використання знань, навичок, досвіду, мобільності набутих в результаті здійснення інвестицій основними суб’єктами. Звертається увага на усвідомлення ключової ролі людини та її здібностей в отриманні економічних, соціальних та статусних ефектів, зміщення зайнятості у нематеріальну сферу виробництва, інтелектуалізацію управлінської діяльності. Доведено, що елементами впливу на соціально-економічний та культурний розвиток громади є спільна діяльність та партнерство органів місцевого управління, підприємницьких структур, населення території на підставі визначених принципів щодо їх взаємодії. Визначаються окремі організаційно-управлінські та психологічні труднощі, які заважають сталому розвитку територіальних громад. Акцентовано увагу на необхідності постійного навчання та підвищення кваліфікації управлінців, здобуття ними спеціальної управлінської освіти, розвитку лідерських якостей шляхом участі в різних науково-комунікативних заходах. Проведений аналіз дає змогу дійти висновку про те, що індивідуальний людський капітал лежить в основі людського капіталу суб’єкта господарювання та територіальної громади. Кожен житель громади є цінним інтелектуальним ресурсом і суб’єктом життєдіяльності громади та вносить свій вклад у сталий розвиток територіальної громади.
Criticism of the Phenomenological Approach
Authors: Annisa Silvia
Published: July 2024

Along with criticism of objectivity, phenomenology is also often criticized for limitations in the generalization of findings. Because of its focus on unique individual experiences, phenomenology tends to ignore the social, cultural, and historical contexts that may influence those experiences. This makes it difficult to generalize phenomenological findings to wider populations, and limits their relevance in more general theory development. Along with criticism of objectivity, phenomenology is also often criticized for limitations in the generalization of findings. Because of its focus on unique individual experiences, phenomenology tends to ignore the social, cultural, and historical contexts that may influence those experiences. This makes it difficult to generalize phenomenological findings to wider populations, and limits their relevance in more general theory development. This article uses the literature study method to explore research objectives, using articles, books and other reference sources.
THE ROLE OF INNOVATIVE STORAGE DEVELOPMENT OF THE ENTERPRISE IN THE CONDITIONS OF THE COMPETITIVE ENVIRONMENT
Authors: Hudyma Liliia ,   National Academy of Management
Published: July 2024

The most significant source of the emergence and maintenance of competitive advantages of the enterprise is the use of updated scientific and technical products, which are the result of scientific, engineering, technological and intellectual activities of leading specialists. High competitiveness provides opportunities to earn profits sufficient to interest investors for further cooperation, which will ensure stable development of the enterprise. Thus, under the conditions of a dynamic competitive environment, the introduction of innovations is a necessary condition for maintaining high competitive positions of the enterprise. Based on the theory of "innovative development" developed by J. Schumpeter, the main emphasis in the article is on the need to introduce innovations into the production process, as an integral component of ensuring competitiveness on the market of the business entity. Thus, the modern market needs the active development of innovations materialized in updated technologies, products, organizational and management solutions. Innovative activity has several specific features: increased risk, unpredictability of results, delayed effectiveness (longterm nature of obtaining results), and at the same time, the potential for obtaining high profits. The formation of the company's innovative potential, as well as its implementation, is determined, to a greater extent, by the continuous interaction of a complex of factors and conditions that accelerate the innovation process, from the results of scientific research to the introduction of innovative technology, or the mass release of innovative products. The article explores such important categories as "innovation", "novation", "discovery", "invention" and "innovation" and outlines the clear differences between them. Different approaches of scientists to the category "innovative potential" are characterized. The choice of the most optimal method of assessing the innovation potential is of great importance, since such an indicator demonstrates the readiness of the enterprise to create an innovative product in the form of a scientific and technical sample and its use in practice, and also helps to assess how much the implementation of the innovation is economically justified. The methods of assessment of innovation potential proposed by various scientists, which are most widely used in practice, are considered.
INFRASTRUCTURE OF INSTITUTIONALIZATION OF APPROPRIATION OF INFORMATIVELY-DIGITAL INTELLECTUAL PRODUCT: DELIVERY OF INTELLECTUAL SERVICES
Authors: Leonidov Іhor ,   Ukrainian State University of Science and Technologies
Published: July 2024

The paper discusses of elements of infrastructure of institutionalization of appropriation of informativelydigital intellectual product. Evolution of scientific fundamental and empiric developments of the infrastructure was exposed. The economic relations concerning intellectual services how condition of appropriation of informatively-digital intellectual product was grounded in represented its scientific determinations. Authorial determination of content of infrastructure of appropriation of informatively-digital intellectual product was offered. The infrastructure of institutionalization of appropriation of informatively-digital intellectual product was outlined how a result of barriers out of reproduction of actors of its appropriation. Was circumscribe the elements of infrastructure of institutionalization of appropriation of informatively-digital intellectual product, namely: organizational rules (for the funds of assistance to crediting, associative consulting firms, association of resources of private business and state), normatively-legal laws (in relation to businessincubators, technological and scientifically-research parks), traditions and patterns of economics (centers of transfer of technologies, its commercialization and National organ of intellectual property). Delivery of intellectual services, what aimed to decreasing of transaction costs into the infrastructure of institutionalization of appropriation of informatively-digital intellectual product, was exposed. Was found out the varieties of intellectual services, what assistance of extended reproduction of appropriation of informatively-digital intellectual product in the socio-economic clusters of his actors, namely: financing of researches, consulting, tuition and retraining of specialists (in the cluster of creators), unification of creation of intellectual product, saving and commercialization of legitimate intellectual product (in the cluster of producers), the transfer of technologies, support of the foreign patenting and assistance to commercialization of inventions (in the cluster of mediators-entrepreneurs). Further researches must be goal-seeking to the modeling of measures of regulation of functions of elements of infrastructure of institutionalization of appropriation of informatively-digital intellectual product. Practical importance of the paper was represented in an availability for government regulation of development of local types of industrial activity in Ukraine with the high degree of scientific accompaniment on the newest technological basis.
МЕТОДИЧНІ ПІДХОДИ ДО ОЦІНЮВАННЯ ФІНАНСОВОГО ПОТЕНЦІАЛУ ПІДПРИЄМСТВ
Authors: Іщенко Ніна
Published: July 2024

Стаття присвячена висвітленню методичних підходів до оцінювання фінансового потенціалу підприємств. Визначено основні структурні складові оцінювання фінансового потенціалу підприємств. Охарактеризовано основні методичні підходи до оцінювання фінансового потенціалу підприємств. Встановлено, що жоден із методичних підходів до оцінювання фінансового потенціалу підприємств не є універсальним і має свої недоліки. Визначено основнi проблеми оцінки фiнансового потенцiалу підприємств. Обґрунтовано необхідність розробки методики комплексної оцінки фінансового потенціалу підприємства. Запропонована методика комплексного оцінювання фiнансового потенцiалу підприємств передбачає розрахунок індикаторів оцінювання фінансового потенціалу підприємств і визначення рівня фінансового потенціалу підприємств.