bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Commercial Operations of UAS Within the Framework of the Exististing International Regime Applicable to Air Carriers
Authors: Kunert-Diallo Agnieszka , Balcerzak Tomasz 
Published: December 2024

ABSTRACT
This study explores the legal framework governing cross-border operations of Unmanned Aircraft Systems (UAS), highlighting the pressing need for a unified regulatory environment to match the rapid advancements in UAS technology. As UAS operations increasingly align with international air services, this study draws parallels between UAS governance and the regulation of airlines, which are currently authorized to provide international air services under air transport agreements. The analysis focuses on the applicability of both international law and EU regulations to UAS operations, particularly in the context of scheduled, non-scheduled, and cabotage services. It examines certification and licensing requirements under EU regulations, identifying their potential to serve as models for future international standards. Overall, this study contributes to the understanding of regulatory challenges and opportunities, emphasizing the importance of harmonized global standards for the effective integration of UAS into international aviation.
The Impact of the European Deforestation-Free Regulation on Trade Relations With Southeast Asia
Authors: Simonnet Andrea 
Published: December 2024

Abstract
As political and trade ties deepen between the European Union (EU) and Southeast Asia, new challenges have surfaced where EU trade laws and extraterritorial regulations intersect with social and environmental concerns. The EU must balance these with the development goals of its interregional partners. Notably, the EU’s sustainable forest policies have strained relations with palm-oil producers like Indonesia and Malaysia. The upcoming 2023 European deforestation-free regulation adds further tension, as its broad scope and benchmarking have sparked opposition in the forest sector. Examining these challenges highlights the existing and significant conflicts raised by the EU’s unilateral approach to climate mitigation. For the sake of the European environmental strategy’s effectiveness, as it extends beyond economic ambitions, it becomes necessary for the Union to develop a joint and suitable cooperation with its partners, to achieve political consensus while limiting trade disruptions in the forest agricultural sector.
Pengaruh Kontrol Psikologis Orang Tua dan Kontrol Diri terhadap Perilaku Cyberbullying Remaja
Authors: Damayanti Adinda Putri , Islamiah Nur , Alfiasari  
Published: December 2024

Cyberbullying adalah tindakan agresif yang sengaja dilakukan oleh individu atau kelompok melalui kontak elektronik secara berulang kali dari waktu ke waktu terhadap korban yang tidak dapat dengan mudah membela dirinya sendiri. Penelitian ini bertujuan untuk menganalisis pengaruh kontrol psikologis orang tua dan kontrol diri remaja terhadap perilaku cyberbullying pada remaja. Desain penelitian berupa penelitian eksplanatori dengan metode kuantitatif. Teknik penarikan contoh berupa voluntary sampling dengan kriteria contoh merupakan remaja usia 15-18 tahun yang aktif menggunakan media sosial dan masih tinggal bersama kedua orang tua di Kabupaten Bogor. Analisis data terdiri atas analisis deskriptif, uji korelasi, dan uji regresi linear berganda. Hasil uji korelasi menemukan korelasi negatif kontrol psikologis orang tua dengan kontrol diri remaja serta korelasi positif antara kontrol psikologis ayah dengan kontrol psikologis ibu. Selain itu, hasil uji pengaruh menemukan bahwa kontrol psikologis orang tua berupa personal attack memiliki pengaruh signifikan terhadap perilaku cyberbullying. Remaja yang memiliki kontrol diri rendah cenderung berpotensi melakukan perilaku cyberbullying.
Urbanization and Urban Government Organization Models in some Countries: Lessons and Recommendations
Authors: Huong Nguyen Thi 
Published: December 2024

Abstract:
In recent decades, urbanization has emerged as a global phenomenon. The migration wave, urbanization, and urban development have driven many countries to research and discover appropriate urban governance models for new situations. The research and findings of standard governance models and urban governance models are not only urgent but also hold long-term strategic importance. The article provides a general overview of the current state of urbanization, explores some typical urban governance models around the world, draws key lessons, and proposes solutions to improve legislation on the organization of urban government to meet national development requirements.
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Иноконфессиональные музыкальные цитаты в литургических и светских жанрах второй половины XVI — первой половины XIX в. и Credo Мессы h-moll И. С. Баха
Authors: Денисов А.В. 
Published: December 2024

Исследование иноконфессиональных музыкальных цитат связано с решением ряда вопросов, среди которых на первом плане оказываются религиозно-этический и эстетический. Отдельно следует учитывать функциональный аспект: в ка ком контексте автор предполагал исполнение подобных сочинений. Показана историческая изменчивость обращения композиторов к иноконфессиональным цитатам: в XIX в. они все чаще стали возникать в светских жанрах (на первом месте — хорал “Dies Irae”). На конкретных примерах проанализированы причины, объясняющие их появление: внешние обстоятельства (заказ) — “Lauda Sion” Ф. Мендельсона; сочувственное / толерантное отношение автора к другой религии — “Veni Domine” Б. Гуаюля; решение определенных художественных задач — «Гугеноты» Дж. Мейербера; интерес к различным художественным / культовым традициям — фантазии на темы псалмов гугенотов Э. дю Корруа, ряд псалмов из “Estro poetico-armonico” Б. Марчелло, “Dixit Dominus” Г. Генделя; функционирование музыкального материала в «чужой» литургической практике — Траурный антем памяти королевы Каролины Г. Генделя. У композиторов, связанных с немецкой культурой, цитаты выполняли риторические функции; особое положение в этом плане занимает Credo из Мессы h-moll И. С. Баха. В статье рассматриваются первоисточник использованных в нем цитат, особенности их трактовки, а также соотношение с религиозной и художественной концепцией Мессы.
The study of interconfessional musical quotations is linked to the resolution of a number of questions, the most important of which are religious-ethical and aesthetic. The functional aspect should be considered separately: in what context did the author intend such works to be performed? The historical variability of composers’ recourse to interconfes sional quotations is shown: in the 19th century they began to appear more frequently in secu lar genres (first and foremost the chorale Dies Irae). Various examples are analysed to explain the reasons for the appearance of interconfessional quotations: external circum stances — Lauda Sion by F. Mendelssohn; sympathetic/tolerant attitude of the author towards another religion — Veni Domine by B. Hoyoul; solution of specific artistic tasks (for example, the depiction of another confession in the opera) — The Huguenots by G. Meyerbeer; interest in various artistic / cultic traditions — fantasies on the themes of Huguenot psalms by E. du Caurroy, a number of psalms from Estro poetico-armonico by B. Marcello, Dixit Dominus by G. Handel; functioning of musical material in foreign liturgical practice — Funeral Anthem in Memory of Queen Caroline by G. Handel. At the same time, for composers associated with German culture, quotations fulfilled rhetorical functions; the Credo from the Mass h-moll by J. S. Bach occupies a special place in this respect. The primary source of the quotations used in it, the peculiarities of their interpretation in the Mass and their correlation with its religious and artistic concept are examined.
PRÁTICA DE ASSESSORAMENTO PEDAGÓGICO EM TECNOLOGIA EDUCACIONAL EM PROGRAMAS DE FORMAÇÃO CONTINUADA DE PROFESSORES DA EDUCAÇÃO BÁSICA
Authors: Câmara Aldemira de Araújo , Azevedo Rosa Oliveira Marins 
Published: December 2024

Este estudo tem como objetivo apresentar um panorama das produções acadêmicas que tratam a respeito do assessoramento pedagógico em tecnologia educacional em programas de formação continuada de professores da educação básica. Foi realizada uma Revisão Integrativa (RI), em dissertações e teses disponíveis no portal da CAPES e BDTD, sem período definido, por meio de um protocolo com base em Mendes e Pereira (2020), em quatro etapas: I – Objetivo e pergunta; II – Busca dos trabalhos; III – Seleção dos trabalhos; e IV – Análise dos trabalhos selecionados. A partir de critérios qualitativos, os trabalhos selecionados foram analisados na perspectiva da Espiral de Creswell (2014), sendo evidenciadas quatro categorias: 1) O assessoramento pedagógico em tecnologia educacional como espaço de formação mútua proporciona a troca de experiências e a partilha de saberes; 2) O Assessoramento Pedagógico em tecnologia educacional como etapa de um programa de formação continuada de professores orienta o planejamento e a implementação de projetos no contexto escolar; 3) O assessoramento pedagógico em tecnologia educacional é importante na criação de redes de formação de professores para compartilhamento de experiências; e 4) O assessoramento pedagógico em tecnologia educacional contribui com a formação continuada e prática pedagógica de professores. Os resultados indicaram a importância da prática de assessoramento pedagógico em tecnologia educacional como estratégia formativa, alinhada às ações dos programas de formação continuada de professores da educação básica, para inserção das Tecnologias Digitais da Informação e Comunicação (TDICs) na prática pedagógica do professor com intencionalidade pedagógica.
Structural and semantic features of English eponyms in the “artificial intelligence” terminology system
Authors: Shadrina O. V. 
Published: December 2024

The paper is focused on the structural and semantic characteristics of eponyms in the sublanguage “Artificial Intelligence” in English. The study’s relevance is determined by the rapid advancement of artificial intelligence systems and information technology in almost all spheres of human activities, which in turn leads to the creation of new lexical units. This finding highlights the necessity of conducting both theoretical and applied studies in this area of lexicology.We have found that in the sublanguage “Artificial Intelligence”, the names and surnames of individuals who have made significant contributions to the formation and development of this field of knowledge are used as a productive basis for creating new terms. We have also succeeded in revealing that anthroponyms can both undergo certain morphological transformations during the deonymization process and be used in their initial form. The most productive word-formation models are the use of an eponym in the possessive case and the formation of an eponym-based adjective. In contrast to anthroponyms, toponyms and names of literary and mythological characters shift into the category of common nouns without changing their form, but acquiring a new meaning. The study’s findings highlight the significance of eponyms as fundamental components of the language of science and technology and their impact on the way artificial intelligence concepts are understood.
Gil (‘wind’) as a linguocultural symbol in the Tatar linguistic consciousness (based on proverbs)
Authors: Zamaletdinova G. F. , Sattarova M. R. 
Published: December 2024

The article is devoted to the linguocultural study of the concept zhil (‘wind’) based on Tatar proverbs, in which the concept under study is verbalized as a reflection of national consciousness and culture. This element is one of the universal categories of the conceptual picture of the world. The study of concepts in the paremiological system provides a better understanding of ethnic consciousness and mentality as the reproduction of a paremiological unit creates a certain image in the mind of a native speaker.This article considers the symbolic understanding of wind in the Tatar linguistic consciousness taking into account its characteristic features, such as air movement, strength, elusiveness, possible harm and wind energy. In the minds of the Tatars, the wind is perceived not only as the embodiment of everyday problems, poverty and hunger, but also as a powerful force that relieves grievances and sorrows, heals people’s body and soul.In Tatar proverbs, one can also define the functions of the wind: it can lead to the loss or destruction of something, acts as an intermediary for the transmission of information and brings good luck.In the article, zhil (‘wind’) as a linguocultural concept, is interpreted in conceptual, figurative and axiological aspects.
Maternal Perception of COVID-19's Potential Impact on the Development of Children Born During the Pandemic
Authors: Laughlin Emma , Clinch Caroline , Ballback Rachel , Ghulmi Lima , Hilton Claudia 
Published: December 2024

Background: COVID-19 impacted the world population through isolation and social distancing recommendations, which affected new mothers’ participation in social interactions. Social inter­action is a critical aspect of child development that was limited due to the COVID-19 pandemic. This study aimed to answer the question, “What are the maternal perceptions of the potential impact of social measures during the COVID-19 pandemic on the development of children born during the pandemic?”
Subjects and Method: This qualitative research is important to explore the potential impact of COVID-19 on the maternal perception of child development during the pandemic. Five online interviews were conducted with mothers who gave birth to their first child between March 2020 and March 2021. Open, axial, and selective coding were utilized to identify relevant themes.
Results: Participants felt gross and fine motor skills, cognition, and socioemotional skills were not impacted by COVID-19, but there was a perceived impact on language and communication skills.
Conclusion: The perceived decrease in language and communication skills due to social distancing measures of COVID-19 was congruent with the initial hypothesis: “Delayed language and communi­cation skills are a concern identified by mothers of children born during the pandemic”.
Cryptocurrency Forecasting Using Deep Learning Models: A Comparative Analysis
Authors: Bourday Rachid , Aatouchi Issam , Kerroum Mounir Ait , Zaaouat Ali 
Published: December 2024

Bitcoin has recently grown to prominence as a decentralized digital currency, attracting significant interest for its potential transformation of the financial market. Forecasting Bitcoin's price is crucial for investors, traders, and academics, given the currency's inherent volatility, which makes accurately predicting future prices challenging. This article aims to provide a comprehensive and comparative analysis of Deep Learning Forecasting Models in order to predict Bitcoin prices in the short and medium terms: Transformer with XGBoost, Transformer with ANN, Transformer with LSTM, and Transformer with SVR. This study is the first to explore the effectiveness of transformer-based architectures, particularly focusing on feature extraction, in complex financial market predictions. Therefore, we trained these models using historical Bitcoin data from 2016 to 2023 and evaluated their performance on a test dataset. Our experiments demonstrate that the Transformer with the XGBoost model outperforms the baseline models, achieving a Mean Absolute Error (MAE) of 0.011 and a Root Mean Squared Error (RMSE) of 0.018. Our findings suggest that the use of advanced deep learning techniques effectively manages the complexities of the cryptocurrency market, offering significant improvements over traditional methods and guiding investors in the cryptocurrency markets. Doi: 10.28991/HIJ-2024-05-04-013 Full Text: PDF
PENGARUH JENIS DAN KADAR ANTIOKSIDAN TERHADAP KARAKTERISTIK MARSHALL ASPAL KARET
Authors: Siregar Devika 
Published: December 2024

Infrastruktur jalan merupakan sarana penting untuk menghubungkan suatu daerah ke daerah lainnya dan sering mengalami kerusakan. Kerusakan yang terjadi berupa jalan berlubang, retak, bergelombang, penurunan bahu jalan, serta amblas. Penelitian ini bertujuan untuk menentukan pengaruh antioksidan dalam aspal karet menggunakan crumb rubber jenis SIR-20 terhadap karakteristik produk aspal karet. Pembuatan kompon diawali dengan penggilingan crumb rubber menggunakan open mill. Pelunakan kompon karet dibantu dengan penambahan aspal sebangai plasticizer, lalu ditambahkan antioksidan trimethyl quinolone (TMQ), butylated hydroxytoluene (BHT) dan polyethylene glycol (PEG). Proses pelelehan crumb rubber dilakukan pada suhu 160oC selama 1 jam dengan kecepatan pengadukan 500 rpm. Aspal modifikasi karet alam dilakukan pengujian marshall dan Fourier Transform Infrared Analysis (FTIR) pada keadaan short term dan long term aging. Hasil pengujian menunjukkan bahwa penambahan kadar antioksidan dalam aspal dapat meningkatkan stabilitas marshall dan didapatkan hasil terbaik pada penambahan antioksidan TMQ 2% sebesar 1877,8 kg pada short term dan 1948,2 kg pada long term, VFA sebesar 79,1% pada short term dan 79,4% pada long term, VMA sebesar 14,999% pada short term dan 14,956% pada long term, dan VIM sebesar 3,138% pada short term dan 3,089% pada long term.
FORECASTING BITCOIN PRICES WITH TIME SERIES ANALYSIS IN PYTHON AND EXCEL
Authors: Joshi JayKrishna , Gharat Anish , Chheda Snehee , Sharma R.P. 
Published: December 2024

Over the past few years the interest in trading with a decentralized or virtual form of currency has significantly increased. This has led to the rise of the cryptocurrency market in the early 2000’s. Bitcoin, the pioneer in the field, has managed to dominate this volatile and cutthroat market till this day. Cryptocurrency is based on multiple technological frameworks and success stories of high returns in a short time frame have garnered the interest of young investors as well.

Similar to the traditional stock market, multiple machine learning, Artificial Intelligence, Time Series Analysis models have come up to help investors, understand trends, patterns, and derive a deeper understanding of the asset as well as the market they are investing in.

Our research aims to deal with this problem using time series methods such as Auto-Regressive (AR), Moving Average (MA) and Auto-Regressive Integrated Moving Average (ARIMA) models. In our analysis, we have implemented the models using both Excel method and Python. Our metric of evaluation is Mean Absolute Percentage Error (MAPE). In our work, data was taken from a website called ‘Yahoo finance’ [1] for Bitcoin cryptocurrency for a five-year time period i.e. from 1st June, 2017 to 31st May, 2024.

Our Python methodology has resulted in a MAPE of 0.16 for AR model, 0.14 for MA model and 0.11 for ARIMA model. The same has been verified using Excel and the score has been validated.
Klasifikasi Daerah Penangkapan Ikan Menggunakan Algoritma Random Forest dan Support Vector Machine
Authors: Kurnianto Andi , Imas Sukaesih Sitanggang  , Medria Kusuma Dewi Hardhienata  
Published: December 2024

Kondisi ekonomi nelayan tradisional masih berada di lingkaran kemiskinan sehingga diperlukan solusi untuk meningkatkan kesejahteraan. Salah satu solusi adalah dengan menggunakan teknologi informasi mengenai daerah penangkapan ikan, sehingga nelayan dapat menghemat bahan bakar dan menambah jumlah tangkapan. Informasi daerah penangkapan ikan dapat di tentukan dengan cara mengolah data citra satelit dan menggunakan teknologi machine learning. Penelitian ini bertujuan membuat model yang dapat melakukan menklasifikasi daerah penangkapan ikan menggunakan algoritma Random Forest dan Support Vector Machine menggunakan data citra satelit laut jawa dan sekitarnya dari tahun 2019-2021 dengan menggunakan parameter klorofil, suhu permukaan laut, salinitas, ketinggian dan suhu air laut. Hasil penelitian ini menunjukan parameter klorofil mempunyai peran paling besar sebesar 77.14% dalam menentukan daerah penangkapan ikan. Hasil nilai precision yang dihasilkan algoritma Support Vector Machine (99.83%) lebih tinggi dibanding dengan yang dihasilkan algoritma Random Forest (99.80%). Meski demikian model klasifikasi yang dihasilkan algoritma Random Forest mempunyai nilai accuracy (99.90%), recall (100%) dan F1 score (99.90%) yang lebih tinggi dibanding dengan yang dihasilkan algoritma Support Vector Machine dengan nilai accuracy (99.89%), recall (99.96%) dan F1 score (99.89%).
Pengembangan Multimedia Interaktif untuk Membantu Peserta Didik dalam Memahami Konsep Matematika pada Materi Transformasi Geometri Kelas XI MIPA SMA Negeri Benlutu
Authors: Ta'eko Juldini Trinasti , Samo Damianus D. , Halim Fransiska A. 
Published: December 2024

During the learning of mathematics in SMA Negeri Benlutu, especially in class XI, teacher use WhatsApp group to send materials in .pdf format to students. Meanwhile, there is no sufficient learning media to support learning in the classroom. Therefore, the purpose of this study is to create interactive learning media, to help students understand valid, practical, and effective mathematical concepts about geometric transformation material in class XI MIPA SMA Negeri Benlutu. This research uses the research and development (R&D) method with the ADDIE development model consisting of five stages: analysis, design, development, implementation, and evaluation. The instruments used are interviews, questionnaires, and concept understanding tests. The results showed that the ThransForMath application met the three criteria of learning media feasibility: valid, practical, and effective. Valid criteria were obtained from the average validity of three material and media experts, which reached 4,7, or in the "valid" category. Practical criteria are obtained from the average practicality of all students in small and large classes, which reached 4,74 and 4,83, respectively, or in the "practical" category. Effective criteria are obtained from the results of students' concept understanding tests in small and large class trials of 100% and 88%, respectively, or in the "effective" category.