bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisa Yuridis Daluarsa Gugatan Pada Peradilan Tata Usaha Negara Pada Putusan Nomor 38/G/2021/PTUN.SMG
Authors: Muhammad Bagoes Raihan
Published: May 2024

Penegakan hukum lingkungan memiliki peran penting dalam pembangunan berkelanjutan. Kebijakan lingkungan yang konsisten dan berkelanjutan diperlukan untuk melindungi sumber daya alam dan memastikan keberlanjutan lingkungan hidup. Studi ini bertujuan untuk menganalisis aspek yuridis dari penegakan hukum lingkungan melalui analisis terhadap gugatan pada peradilan tata usaha negara. Tujuan utamanya adalah untuk memahami peran peradilan dalam menegakkan hukum lingkungan dan dampaknya terhadap pembangunan berkelanjutan. Metode penelitian yang digunakan adalah analisis yuridis terhadap putusan peradilan tata usaha negara terkait dengan gugatan lingkungan. Data diperoleh melalui studi kasus dan analisis terhadap kebijakan lingkungan yang terkait dengan putusan peradilan. Hasil analisis menunjukkan bahwa penegakan hukum lingkungan melalui peradilan tata usaha negara memiliki dampak yang signifikan terhadap kebijakan lingkungan dan pembangunan berkelanjutan. Putusan peradilan memainkan peran penting dalam menegakkan kepatuhan terhadap regulasi lingkungan. Penegakan hukum lingkungan melalui peradilan tata usaha negara merupakan aspek krusial dalam pembangunan berkelanjutan. Konsistensi dalam penegakan hukum lingkungan dapat memberikan landasan kuat bagi keberlanjutan lingkungan hidup dan pembangunan secara keseluruhan.
Persebaran Produksi Tanaman Biofarmaka Menurut Kecamatan di Kota Bogor Tahun 2020-2022
Authors: Navila Ilma
Published: May 2024

Indonesia has a variety of plants that are often used by the community as traditional medicine. Therefore, it is necessary to conduct research on the distribution of medicinal plants based on geographic information systems that aim to determine the distribution of medicinal plants (biopharmaceuticals), in addition to providing information and adding insight to the public about the distribution of medicinal plants in sub-districts in the city of Bogor. The method used in this study involved collecting spatial data.
Analisis Penerapan Sistem Manajemen Keselamatan dan Kesehatan Kerja Di PT. PLN (Persero) Sektor Tambora Kabupaten Sumbawa Barat
Authors: Faathir Ilman Abdillah
Published: May 2024

Occupational Safety and Health Management System (SMK3) is part of a management system that includes the company's organizational structure, planning, responsibility, implementation, achievement, assessment and development of occupational safety and health policies. PLN Tambora West Sumbawa is a business unit of PT PLN (Persero) which manages the electricity system in West Nusa Tenggara Province PT PLN (PERSERO) Tambora sector. In the Tambora sector, it was found that the implementation of SMK3 is still not effective, which can cause occupational accidents and occupational diseases such as the use of coal as a flammable material, slipping, falling from a height, disturbance, electric shock, and coal ash residue (FABA) which, if inhaled continuously, will cause respiratory problems. Continuous inhalation will cause respiratory distress. Therefore, an analysis was carried out on the implementation of the occupational safety and health system (SMK3) at PT PLN (PERSERO) by using data in the form of a questionnaire related to the implementation of the company's K3 management towards ISO 45001: 2018 and processing the data using the Gap Analysis method, then providing recommendations for improvement. The results showed that the implementation of ISO 45001: 2018 amounted to 88%. There is a gap of 12% because there are 4 clauses that have not been implemented optimally, namely clause 4.2 concerning understanding the needs and expectations of workers and other interested parties, clause 5.3 concerning roles, responsibilities and organizational management, clause 5.4 concerning worker consultation and participation and clause 7.2 concerning competence, so improvements are proposed for each clause.
APLIKASI AKAD MUSYARAKAH PADA SISTEM PEMBIAYAAN UNTUK MODAL USAHA
Authors: Fadliani Faddila , Firdaus Rayyan
Published: May 2024

Jurnal ini membahas aplikasi akad musyarakah dalam sistem pembiayaan untuk modal usaha. Melalui studi pustaka, ditemukan bahwa penerapan akad musyarakah telah dilakukan di berbagai lembaga keuangan syariah. Temuan dari penelitian-penelitian terdahulu memberikan wawasan mengenai prosedur pembiayaan, pembagian hasil nisbah, serta kelebihan dan kekurangan penerapan akad musyarakah. Dari hasil penelitian, disimpulkan bahwa penerapan akad musyarakah menunjukkan potensi yang besar, namun masih memerlukan upaya dalam mengatasi kendala-kendala yang muncul. Jurnal ini diharapkan dapat memberikan kontribusi dalam pengembangan praktik keuangan syariah.
Fenomena Bunuh Diri : Mahasiswa Universitas Brawijaya Terjun dari Lantai 12 dalam Perspektif Durkheimian
Authors: Sastrawardana Viqia
Published: May 2024

Bunuh diri merupakan sebuah tindakan yang dengan sengaja bahkan menyebabkan kematian kepada dirinya sendiri. Kasus bunuh diri yang sempat ramai diperbincangkan pada ranah media sosial dan media berita, yang dialami mahasiswa Univversitas Brawijaya terjun dari lantai 12 Gedung Fakultas Ilmu Komputer diduga depresi yang sulit dikontrol dan bekas luka sayatan yang dilakukannya beberapa hari yang lalu, hasil pemeriksaan pada jasad korban bunuh diri oleh tim forensik dan ahli bedah. Menurut Durkheim dalam karyanya yang berjudul suicide, tindakan bunuh diri yang dilakukan mahasiswa Universitas Brawijaya adalah fatalistic suicide. Bunuh diri fatalistik menurut Durkheim, adalah merupakan tindakan individu yang telah tertutup masa depannya diakibatkan kedisiplan yang ketat. Penyajian diagram batang persoalan angka pada kasus bunuh diri yang kian meningkat diakhir tahun 2023, dengan banyaknya kasus bunuh diri di Indonesia terdapat di Provinsi Jawa Tengah dengan 356 kasus dan Provinsi Jawa Timur urutan kedua dengan 184 kasus bunuh diri, serta Provinsi Sulawesi Utara dengan angka bunuh diri terendah di Indonesia dengan 18 kasus bunuh diri. Penulis membaca sejumlah literatur yang berkaitan dengan tema yang diangkat dalam tulisan ini baik dari internet dan jurnal.
Interferensi Bahasa Aru pada Mahasiswa Aru di Surabaya: Analisis Pengaruh Bahasa Daerah terhadap Bahasa Indonesia dalam Konteks Pendidikan
Authors: Lola Rima Kelanit
Published: May 2024

Interferensi bahasa Aru terhadap bahasa Indonesia pada mahasiswa Aru di Surabaya menjadi perhatian penting dalam konteks pendidikan. Hal ini penting karena bahasa Aru merupakan bahasa asli yang masih digunakan oleh masyarakat Aru di Maluku dan dapat mempengaruhi penguasaan bahasa Indonesia pada mahasiswa Aru. Selain itu, pemahaman yang lebih baik tentang interferensi bahasa Aru dapat membantu meningkatkan apresiasi terhadap bahasa Indonesia pada mahasiswa Aru di Surabaya. Penelitian ini bertujuan untuk menganalisis interferensi bahasa Aru terhadap bahasa Indonesia pada mahasiswa Aru di Surabaya, dengan fokus pada pengaruh bahasa asli terhadap penguasaan bahasa Indonesia. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan teknik pengumpulan data melalui menyimak, wawancara, dan teknik menulis. Data yang dianalisis adalah dialog mahasiswa Aru dalam berkomunikasi menggunakan bahasa Indonesia. Hasil penelitian menunjukkan adanya interferensi bahasa Aru terhadap bahasa Indonesia, terutama dalam bentuk interferensi fonem, kata, dan kalimat. Kesalahan dalam penggunaan kata dan kekakuan kalimat bahasa Indonesia juga teridentifikasi dalam percakapan mahasiswa Aru. Dari hasil penelitian ini, disimpulkan bahwa interferensi bahasa Aru mempengaruhi penguasaan bahasa Indonesia pada mahasiswa Aru di Surabaya. Penelitian ini memiliki urgensi penting dalam meningkatkan pemahaman dan apresiasi terhadap bahasa Indonesia pada mahasiswa Aru di Surabaya.
Analisis Morfofonemik Dialek Lamalera
Authors: Magi Krova Magdalena
Published: May 2024

This research is entitled "Morphophonemic Analysis of Lamalera Dialect". This title was taken as research because the Lmalera dialect is the Lamaholot language and has its own identity in the form of vowel lengthening in the previous syllable. This morphophonemic work is determined on the influence of morphemes and phonemes as well as grammatical influence. The formulation of the problem in this study is how Lamalera morphophonemic which includes morpheme and phoneme effects and grammatical effects of Lamalera dialect. The purpose of this study is to find out the morphophonemic process of Lamalera dialect in the form of morpheme and phoneme effects and grammatical effects of Lamalera dialect. The method in this research uses the listening method and the chap method, while the data analysis technique in this research is descriptive. The reason the researcher uses this technique is a way used by researchers to process data which will then be descriptive in detail the results of observations of the data that has been collected. The conclusion of this study states that, nouns ending in the vowel /a/ will change to the nasal vowel /a^/ in the form of the second person singular owner. Lamalera dialect has a joint where -an changes into /a^/, there is also a morphophonemical change which is the lengthening of the vowel in the previous syllable. When due to other grammatical elements that follow the vowel changes /e^/ and /o/, the vowel changes /e^/ and /o/ in nouns. If the vowel /e"/ is preceded by another vowel, the morphophonemic changes will follow the pattern below: the final vowel /e"/ preceded by the vowel /a/ only takes a morphophonemic change to /i/.
Avoiding Existential Conflicts with Hyper Intelligent Computers
Authors: Nicolau Mark
Published: May 2024

This Article presents my vision of the future where existential conflicts with intelligent computersand networks will be mitigated by the evolution of the human race from the intelligent people who invented the ‘dumb’ computers in the 1940s, to the smart people of 2010s who created ‘artificial intelligent’ computers (see reference [1]), and who through bioengineering built superhumans to face super-intelligent computers by 2040 [2], and to the builders of the future Hybrid humanoids (with organoid brains) who will evolve before 2100 to avoid conflicts with Hyper intelligent computers and of the Android robots (loaded with Avatars of humans) capable to deal with the omnipresent adversary distributed networks (Divergent networks).
Renkamos informacijos apie žmonių gýveną metodinės priemonės. II dalis: Antano Mažiulio indėlis
Authors: Šidiškienė Irma
Published: May 2024

Straipsnis yra tęsinys I dalies [50], kurioje nagrinėta, kaip metodinių priemonių, instrukcijų, klausimynų istoriografija padeda atskleisti etnologijos mokslo Lietuvoje formavimąsi. Iškeltas klausimas, kodėl Vacio Miliaus bibliografijoje tėra keturi Antano Mažiulio straipsniai iš šešiolikos skelbtų, skirtų renkamos medžiagos metodikai, jos populiarinimui. Straipsnio II dalyje nagrinėjama A. Mažiulio renkamos medžiagos metodinių priemonių, informacijos klasifikacija, metrikų bei kitų nurodymų pobūdis. Lyginant ankstesnes metodines priemones su A. Mažiulio skelbta metodine informacija buvo nustatyta, kad A. Mažiulio metodiniai nurodymai pasižymėjo renkamos informacijos sisteminimu pagal tautosakos, muziejinių rinkinių rūšis. Be to, jis išplėtojo vedybų klausimyno struktūrą ir detaliai išdėstė rinkėjo etiketo bei komunikacijos su pateikėjais niuansus.
Toward Enhanced Privacy in Digital Marketing: An Integrated Approach to User Modeling Utilizing Deep Learning on a Data Monetization Platform
Authors: Chopra Bhuvi , Raja Vinayak
Published: May 2024

This paper introduces an innovative method for safeguarding user privacy in digital marketing campaigns through the application of deep learning techniques on a data monetization platform. This framework empowers users to maintain authority over their personal data while enabling marketers to pinpoint suitable target audiences. The system consists of several key stages: initially, representation learning in hyperbolic space captures latent user interests across various data sources with hierarchical structures. Subsequently, Generative Adversarial Networks generate synthetic user interests from these embeddings. To preserve user privacy, Federated Learning is utilized for decentralized user modeling training, ensuring data remains undisclosed to marketers. Lastly, a targeting strategy, rooted in recommendation systems, utilizes learned user interests to identify optimal target audiences for digital marketing campaigns. In sum, this approach offers a comprehensive solution for privacy-preserving user modeling in digital marketing.
Diplomacy in the Age of AI: Challenges and Opportunities
Authors: Varela Damián Tuset
Published: May 2024

As artificial intelligence (AI) continues to permeate various aspects of society, its impact on diplomacy and international relations becomes increasingly profound. This paper explores the challenges and opportunities presented by the intersection of diplomacy and AI. It examines how AI technologies are reshaping traditional diplomatic practices, influencing decision-making processes, and altering power dynamics among nation-states. Additionally, it discusses the ethical implications and governance frameworks necessary to navigate this evolving landscape. Despite the challenges, AI offers numerous opportunities for enhancing diplomatic efforts, fostering collaboration, and addressing global challenges in a more efficient and effective manner. By understanding and harnessing the potential of AI, diplomats can adapt to the changing landscape of international relations and leverage technology to advance diplomatic objectives.
Unlocking the Potential of AI/ML in DevSecOps: Effective Strategies and Optimal Practices
Authors: Camacho Nicolas Guzman
Published: May 2024

In the dynamic realm of technology, the fusion of Artificial Intelligence (AI) and Machine Learning (ML) with DevSecOps practices stands out as a pivotal catalyst for bolstering security, efficiency, and innovation in software development and deployment processes. This document explores effective strategies and optimal practices for maximizing the capabilities of AI/ML within the DevSecOps framework. Commencing with an overview of DevSecOps principles and the integral role of AI/ML, the document delves into specific tactics such as automated threat detection, predictive analytics for vulnerability management, and intelligent automation for continuous integration and deployment. Additionally, it addresses prominent challenges and considerations associated with the integration of AI/ML in DevSecOps, including data privacy, algorithm transparency, and ethical implications. Through illuminating case studies and real-world illustrations, the document showcases how organizations can leverage AI/ML technologies to streamline their DevSecOps pipelines, mitigate security risks, and cultivate a culture of ongoing enhancement. By embracing these strategies and adhering to best practices, organizations can harness the full potential of AI/ML to propel innovation, fortify resilience, and enhance agility in their DevSecOps endeavors.
Cognitive Frameworks for Mitigating Antiblack Bias: Advancing Ethical AI Design and Development
Authors: Islam Md. Mafiqul
Published: May 2024

This paper explores the utilization of cognitive modeling to address the influence of antiblackness and racism on the design and development of AI systems. Through the lens of the ACT-R/Φ cognitive architecture and ConceptNet, an existing knowledge graph system, we investigate this issue from cognitive, sociocultural, and physiological perspectives. We propose an approach that not only examines how antiblackness may permeate AI system design and development, particularly within the realm of software engineering, but also establishes links between antiblackness, human cognition, and computational cognitive modeling. We contend that overlooking sociocultural factors in cognitive architectures perpetuates a colorblind approach to modeling, obscuring the inherent sociocultural context that shapes human behavior and cognitive processes.
Crafting explainable artificial intelligence through active inference: A model for transparent introspection and decision-making
Authors: Carrasco Ramírez José Gabriel
Published: May 2024

This paper explores the feasibility of constructing interpretable artificial intelligence (AI) systems rooted in active inference and the free energy principle. Initially, we offer a concise introduction to active inference, emphasizing its relevance to modeling decision-making, introspection, and the generation of both overt and covert actions. Subsequently, we delve into how active inference can serve as a foundation for designing explainable AI systems. Specifically, it enables us to capture essential aspects of "introspective" processes and generate intelligible models of decision-making mechanisms. We propose an architectural framework for explainable AI systems employing active inference. Central to this framework is an explicit hierarchical generative model that enables the AI system to monitor and elucidate the factors influencing its decisions. Importantly, this model's structure is designed to be understandable and verifiable by human users. We elucidate how this architecture can amalgamate diverse data sources to make informed decisions in a transparent manner, mirroring aspects of human consciousness and introspection. Finally, we examine the implications of our findings for future AI research and discuss potential ethical considerations associated with developing AI systems with (apparent) introspective capabilities.
The Impact of Principal on Teacher Motivation in Secondary Schools
Authors: Nachshoni Amizur
Published: May 2024

This research investigates the influence of school principals' motivation on teachers, recognizing motivation as a complex process driving human behavior towards goals. Motivation's significance lies in its role in energizing individuals towards their aspirations. The study highlights two key motivations: the critical role of motivated teachers in education and the principal's leadership impact on teacher motivation. Literature underscores motivation's multifaceted nature and its link to organizational climate, rewards, and management practices. Challenges include establishing causality between principal actions and teacher motivation amid diverse educational contexts. Despite hurdles, insights gleaned shed light on the principal's influence and teacher motivation levels.
Advancements in Self-Supervised Learning for Remote Sensing Scene Classification: Present Innovations and Future Outlooks
Authors: Carrasco Ramírez José Gabriel
Published: May 2024

Deep learning methodologies have significantly advanced the fields of computer vision and machine learning, enhancing performance across various tasks like classification, regression, and detection. In remote sensing for Earth observation, deep neural networks have propelled state-of-the-art results. However, a major drawback is their dependence on large annotated datasets, necessitating extensive human effort, especially in specialized domains like medical imaging or remote sensing. To mitigate this reliance on annotations, several self-supervised representation learning techniques have emerged, aiming to learn unsupervised image representations applicable to downstream tasks such as image classification, object detection, or semantic segmentation. Consequently, self-supervised learning approaches have gained traction in remote sensing. This article surveys the foundational principles of various self-supervised methods, focusing on scene classification tasks. We elucidate key contributions, analyze experimental setups, and synthesize findings from each study. Furthermore, we conduct comprehensive experiments on two public scene classification datasets to evaluate and benchmark different self-supervised models
Unlocking the Potential of Mobile-Edge Cloud: A Comprehensive Review and Future Directions
Authors: Alhaddad Musaab Mohammad
Published: May 2024

With the rapid expansion of the Internet of Things (IoT), the demand for computational resources continues to soar, necessitating innovative solutions to address the needs of resource-constrained IoT users. Mobile edge computing (MEC) emerges as a promising remedy, mitigating the strain imposed by resource-intensive mobile applications. Concurrently, leveraging unmanned aerial vehicles (UAVs) as aerial platforms presents an enticing opportunity to enhance connectivity in wireless networks, owing to their on-demand deployment capabilities, high cruising altitudes, and maneuverability in three-dimensional space. This paper presents a comprehensive examination of UAV-enabled aerial MEC, elucidating its advantages, challenges, and recent advancements across various domains. Topics explored include joint optimization of UAV trajectory, computation offloading, and resource allocation, UAV deployment strategies, task scheduling, load balancing, interplay with other technologies, and machine learning-driven optimizations. Additionally, the paper outlines key avenues for future research endeavors.
Exploring Meta-Learning: Unveiling Progress and Obstacles - A Comprehensive Examination
Authors: Akter Sohana
Published: May 2024

Educational international organizations have forecasted a radical transformation in how students learn, the content they learn, and the requisite skills in the near future. The advent of smart technologies is poised to revolutionize learning conditions, ushering in opportunities for transformative learning experiences and fostering more conscious, self-directed, and self-motivated learning endeavors. Meta-learning encompasses a suite of cognitive meta-processes through which learners consciously construct and manage personal learning models. It involves a progression of meta-skills that evolve hierarchically, facilitating the attainment of advanced levels of comprehension termed meta-comprehension. This article delves into the concept of meta-learning and delineates the meta-levels of learning through the lens of metacognition. Additionally, it explores the potential of smart technologies to serve as fertile ground for implementing meta-learning training strategies. The findings of this study contribute to a novel theoretical framework for meta-learning, bolstered by smart devices capable of supporting future meta-learners, or more aptly, meta-thinkers, in transcending conventional realms of knowledge and ascending to higher meta-levels of human intelligence.
Advancements in Deep Learning for Minimally Invasive Surgery: A Journey through Surgical System Evolution
Authors: Reddy Kalli Venkata Dinesh
Published: May 2024

The surge in artificial intelligence (AI) applications across diverse fields owes much to advancements in deep learning and computational processing speed. In medicine, AI's reach extends to medical image analysis and genomic data interpretation. More recently, AI's role in analyzing minimally invasive surgery (MIS) videos has gained traction, with a growing body of research focusing on organ and anatomy identification, instrument recognition, procedure recognition, surgical phase delineation, surgery duration prediction, optimal incision line identification, and surgical education. Concurrently, the development of autonomous surgical robots, exemplified by the Smart Tissue Autonomous Robot (STAR) and RAVEN systems, has shown promising strides. Notably, STAR is currently employed in laparoscopic imaging to discern the surgical site from laparoscopic images and is undergoing trials for an automated suturing system, albeit in animal models. This review contemplates the prospect of fully autonomous surgical robots in the future.
Exploring Challenges and Solutions in Cloud Computing: A Review of Data Security and Privacy Concerns
Authors: Raja Vinayak
Published: May 2024

As organizations transition towards cloud computing environments, the significance of security and privacy concerns escalates. This research report conducts a systematic exploration of diverse challenges and vulnerabilities inherent in cloud computing, with a particular emphasis on security and privacy issues. The study extensively evaluates potential threats ranging from data breaches to unauthorized access, and it evaluates the repercussions of these challenges on user trust and data integrity within cloud infrastructure. Moreover, it proposes and discusses effective strategies and solutions aimed at mitigating security risks and safeguarding user privacy in cloud computing. This paper contributes to the ongoing discourse on cloud security and privacy, offering both practitioners and researchers a valuable reference for navigating the dynamic landscape of cloud-based services.
Ciberacoso, una amenaza real para los jóvenes cubanos en la era digital.
Authors: Contreras -Molina Ana Iris , Rodríguez -Hurtado Beatriz
Published: May 2024

El uso de las nuevas tecnologías de la información (TIC) y las comunicaciones, presenta una serie de beneficios para el desarrollo de la humanidad e impacta de manera positiva en la calidad de vida de la misma. No obstante, el desarrollo de las TIC dio un giro de carácter negativo, permitiendo que aparecieran los ataques en el ciberespacio, afectando a grupos vulnerables, principalmente a la infancia y juventud.  Cuba no se encuentra exenta de esta realidad, sin embargo, existe una deficiencia en la tecnología digital que dificulta el proceso de investigación penal, intensificándose las dificultades cuando la víctima del acoso informático es un menor de edad. Por consiguiente, la investigación pretende proponer acciones para prevenir el ciberacoso en la población juvenil cubana. Para la investigación se utilizaron: análisis documental, entrevistas a especialistas, encuestas, histórico lógico, análisis y síntesis. En la investigación se evidencia limitaciones en la participación de entidades educativas, jurídicas, militares y otros sectores de la sociedad para prevenir el acoso virtual. Por lo que resulta necesario realizar acciones preventivas como la socialización de los riesgos de las TIC para la juventud, concienciación sobre el uso responsable de internet, la promoción de valores como el respeto y la tolerancia y la creación de centros especializados para el trabajo preventivo con los jóvenes a nivel comunitario.
On the implementation and functioning of the «Barnahus»
Authors: Kalyniuk Natalia , Humenna Nadiia
Published: May 2024

The aim of the work is to study and analyze the Barnahus model through the prism of European experience and the legal system of Ukraine.
The methodological basis of the study is the dialectical method of scientific knowledge, since the genesis of the «Barnachus» model was revealed with its help. From the standpoint of the value approach, legal ideas, the normative legal framework and law enforcement practice were investigated. The work uses such general scientific methods as: system analysis, ascent from the general to the specific, analogy, generalization, comparison, as well as the principle of historicism, social and objective approach, which contributed to the disclosure of the features of the «Barnachus» model as a whole and its components, in particular. Special-legal methods, such as comparative- legal, formal-dogmatic, sociological-legal, cultural-legal.
Results. The article is devoted to the Barnahus model, which is currently an innovative model at the European level in the field of combating violence against children and child-friendly justice. Ukraine, striving to become a full-fledged member of the European Union, has undertaken a number of obligations, including to provide children with additional procedural guarantees during their interrogation (questioning) in criminal proceedings. The article examines and analyzes the Barnahus model through the prism of European experience and the legal system of Ukraine. The author analyzes the basic ideas of the Barnahus model; examines the peculiarities of the formation and development of the Barnahus model in the legal systems of Scandinavian countries; clarifies the European quality standards of the Barnahus model as a result of the PROMISE network; examines the organizational and legal framework for the implementation and functioning of the Barnahus model in Ukraine; analyzes the impact of national legislation on the functioning of the Barnahus model in Ukraine, revealing certain problematic aspects.
Conclusion. It is established that the Barnahus model is a multidisciplinary program for child victims and child witnesses of violence or cruelty, organized in a child-friendly environment and under one roof to ensure effective protection, quick access to justice, and the provision of necessary services. It is proved that its main task is to cooperate «under one roof» of an interagency and interdisciplinary team involved in juvenile criminal justice for effective coordinated work (collecting evidence, providing services, creating a child-friendly environment, helping to return to their usual life, etc.) and achieving maximum interaction with child witnesses or child victims of violence or cruelty.
The role of the EU in supporting Ukraine’s economy during the war: prospects for relationship development
Authors: Kostiuchenko Yaroslav
Published: May 2024

The article focuses on the issues of the russian war against Ukraine, which has caused significant damage to the Ukrainian economy. In this difficult situation, the EU plays a key role in supporting Ukraine by providing financial, economic, and humanitarian assistance. The study of the EU’s role in this area and the determination of prospects for the development of relations between Ukraine and the EU in the context of post-war reconstruction are extremely important.
The article explores and analyzes the role of the EU in supporting the Ukrainian economy during the war, as well as identifies the prospects for the development of relations between Ukraine and the EU in the context of post-war reconstruction.
The paper argues for a comprehensive analysis of the EU’s role in supporting the Ukrainian economy during the war, identifying promising areas for the development of relations between Ukraine and the EU in the context of post-war reconstruction, and developing practical recommendations for strengthening cooperation between Ukraine and the EU.
The article substantiates and evaluates the role of the EU in supporting the Ukrainian economy during the war. It identifies promising areas for the development of relations between Ukraine and the EU. It develops practical recommendations for strengthening cooperation between Ukraine and the EU in the context of post-war reconstruction.
The article argues that Ukraine’s imports from the EU may increase after joining the EU, as Ukrainian consumers will gain access to a wider range of goods at competitive prices. Accordingly, there will be changes in the structure of trade. Exports of agricultural products from Ukraine may decrease, while exports of industrial goods may increase.
The article emphasizes that Ukraine needs to make a lot of efforts to prepare for EU membership. However, EU membership can bring Ukraine many benefits, including: economic growth; improving the standard of living; strengthening democracy.
Exploring Learners’ Needs and Expectations: Translating EU Texts in an English Bachelor’s Programme at a Hungarian College
Authors: Károly Adrienn
Published: May 2024

This paper reports on a needs analysis study involving a group of Hungarian undergraduate students of English before taking an EU specialized translation course. The purpose of the study was to explore the students’ needs regarding course content and methodology, to capture their perceptions about the translation process and translation competence, and to compare these with the teachers’ expectations and assumptions as well as with the current course syllabus. The results of the study are hoped to be of assistance to the teacher of the course in selecting and adapting the course content, material and teaching approaches to the immediate needs of the students. Data was collected through questionnaires with the students and a semi-structured oral interview with their teacher. Document analysis was also used to compare the students’ expressed goals, needs, and perceptions with the aims and contents of the course as stated in the course syllabus. The results show that undergraduate students’ needs and perceptions – regarding translation in general and one particular course – are different from the teachers’ assumptions and the aims of the course as expressed in the syllabus. Therefore, exploring undergraduate students’ actual needs and tailoring the course to these needs is a crucial step in syllabus design.
Register Analysis of English Biology Texts: A Corpus-Based Exploratory Study of Grammar
Authors: Borza Natália
Published: May 2024

While considerable research has been conducted on describing the discourse features of academic writing in the field of biology, there is hardly any research available on the register specific features of textbooks written for secondary students, in particular on those of biology textbooks. The present quantitative investigation aims to fill this niche by means of developing an analytical instrument capable of providing data that describe the dominant grammatical features of English language biology texts used in the instruction of Hungarian students in a bilingual secondary school in Budapest. The results of the study reveal that biology texts for secondary students are less complex in terms of grammar than general English reading texts for intermediate (B2) learners. The findings are hoped to be of assistance to biology ESP teachers and general English teachers instructing in a bilingual secondary school alike.
Alternative Learning Plots: A Narrative Inquiry into Teachers’ Competence Building in the Classroom
Authors: Nagy-Váci Krisztina
Published: May 2024

The present study aims at exploring secondary school language teachers’ ways of learning teaching skills, that is, the learning plots which are constructed through narrating small stories about critical incidents in the classroom. As part of a greater grounded theory study, six teachers have been interviewed to enrich existing findings on teachers’ competence building. In the research process, four alternative teacher responses have been identified through constant comparison and coding procedures. These are the avoidance of competence building, experimenting with competences, delaying competence building and persevering with one’s own beliefs. The analysis intends to complement our understanding of teacher development through classroom experience.
Training to Become a Mentor: Hungarian EFL Teachers' Personal Discoveries
Authors: Pohl Uwe , Révész Judit
Published: May 2024

This article identifies and illustrates key developmental stages of a group of ELT mentor trainees during an intensive training course in Hungary. It reveals changes in the way the teachers defined their professional identities that amount to major steps in the participants’ development as teachers and mentors-in-training. As an account of how a highly structured teacher training event led to significant personal and professional development, the article also demonstrates the importance of the group process for participants to value and internalize the role of the mentor.
The Motivation Processes of MA in English Applied Linguistics Students
Authors: Kövér Ármin , Szűcs Ágota
Published: May 2024

Research into L2 motivation has more than five decades of tradition. Despite the copious data, information about the motivation processes of MA students is still very sparse. Therefore, the aim of this article is (1) to explore the characteristics of the general motivation of English MA students and (2) to examine the phenomenon as a dynamically changing construct. It is a small-scale qualitative exploratory study involving six English Applied Linguistics MA students: two first-year and two second-year students and two graduates. In order to investigate the motivation of these students semi-structured interviews were administered. The results suggest that the motivation of the participating students is a highly complex phenomenon compounded of several different elements and that the interaction of these elements can be examined on two levels; namely, the motivation process on a daily basis and the motivation process over a number of years.
EFL Teacher Trainer Beliefs and Practices at a Hungarian University - Validating Instruments for a Pilot Study
Authors: Juhász Dávid
Published: May 2024

Training great teachers is the ultimate goal of teacher education (Almarza, 1996; Brown & McGannon, 1998; Nunan, 1992, etc.). While the contents of the various certificate, diploma and Master's-level courses vary, all these courses have a common goal: training "good" ELT professionals. As the category "good" and what it constitutes vary according to the aims and outcomes of these courses, the emphasis is on different issues in teaching and teacher training. The aim of this paper is to validate the instruments used to explore the complex interplay of teaching beliefs and actual teaching practices of three Hungarian teacher trainers at one of Hungary's leading ELT training institutions and investigate whether trainers' beliefs are supported by their teaching practices using three instruments: an interview schedule for trainers, another interview schedule for the trainers' trainees, and classroom observations. The findings indicate that although there is remarkable variation in teaching beliefs, styles and classroom practices among experienced teacher trainers, they have a realistic view of their teaching practices possibly due to self-reflection. The instruments in the study provided valuable insights through triangulation and further refinements are suggested to better investigate the research subject. Using the results, further studies could investigate the transmission of beliefs from trainers to trainees during apprenticeship of observation (Darling-Hammond, 2000).
Accent on Accents: Helping Learners Better Understand English Spoken by Speakers Having a Variety of Accents
Authors: Johansen Aimee
Published: May 2024

This article aims to introduce a few tools to help English (ESL/ELF/EFL) teachers improve their students’ understanding of a variety of accents in English. Related issues have been addressed by researchers, but the question of how to help L2(+) listeners with a good level of comprehension of ‘standard’ varieties of English, to better understand an unfamiliar accent, has not been widely studied. This paper will introduce several methods that were tried in a classroom setting, with differing results. A global approach, as opposed to a segmental approach, seems to be more promising, as results were better for the techniques that focused more on longer passages, as opposed to isolated words or phrases. This article will open the discussion about how language teachers and researchers can continue to improve methods used to help learners increase their understanding of unfamiliar accents.
Bias Sequences and Turn-Taking in the Validation of the Small Group Oral Examination
Authors: Dávid Gergely A.
Published: May 2024

This research originated in an interest in the characteristics of communication in a group oral test. The researcher’s attention was directed towards its turn-taking mechanisms and how communication is shaped in groups of three. The investigation of the test discourse, with reference to insights and predictions from Conversation Analysis, yielded external validity evidence for the conversational nature of the interaction in this test. The findings support the claim that in Phase two of the group oral test the interaction is sufficiently conversational. True to the nature of conversation, each of the recorded exams contained bias sequences, in which interaction involves only two of the speakers from time to time. The findings also suggest a research-based rationale for the number of speakers desirable in a group oral test in that it may be a happy choice to examine students in threes, rather than twos or larger numbers.
Phytochemical screening and in vitro antimicrobial activity of Rosmarinus officinalis leaves
Authors: Nsanzamahoro Christophe , Gatozi Emmanuel , Urimubenshi Jean Damascene , Ntaganda Jean
Published: May 2024

Rosmarinus officinalis is a medicinal plant, which belongs to family Lamiaceae. It is an evergreen bush. It was analyzed for its phytochemical constitution and antibacterial activity. For this purpose, leaves of n-hexane, ethyl acetate and methanolic extracts were used. The tests of phytochemical screening showed that the plant leaves contain anthraquinones, terpenoids, flavonoids, reducing sugars, saponins, cardiac glycosides, coumarins, phenols, carbohydrates, proteins, steroids, alkaloids and quinones, while tannin was absent. The antibacterial activity was determined against E. coli and staphylococcus aureus; the invitro antibacterial activity was performed by disc diffusion method. The n-hexane and ethyl acetate extracts showed no antibacterial activity against E. coli while ethyl acetate extracts showed antibacterial activity against Staphylococcus sp. The results showed that the highest mean inhibition zone was observed in the methanolic extracts.
Challenges and Barriers to Software Testing
Authors: Ashiq Shahzad , Masood Abdullah Bin , Fakhar Muhammad Hunfia , Iqbal Muhammad Waseem , Nazir Zaeem , Muhammad Hafiz Abdul Basit , Rahman Shoaib Ur , Ahmad Saleem Zubair
Published: May 2024

Software development in a context where development locations are separated across geographical regions, either nearby or internationally, is quickly becoming a popular practice. This software development agreement is often mentioned as Global Software. "Global Software Development (GSD) is also known as Distributed Software Development (DSD) or Global Software Engineering (GSE)". Plans carried out by a scattered squad have been identified by way of a more dangerous and hard enterprise than projects carried out by teams working below a similar roof. As a result, considering the possible obstacles and appropriate mitigation techniques for GSD is critical for operating a successful project. Software development is divided into stages of requirements, analysis, designs, coding, and testing. The creation of software in globalized settings is frequent and significant in today's world of software development. This paper emphasizes the condition of software product transmission, which deals with software testing in an overseas site, as part of numerous globalized scenarios.
A Qualitative Study of Buddhist Counseling on Traumatized Clients: Counseling Practices of Seven Experienced Buddhist Counselors
Authors: Lee Kin Cheung (George) , Zhang Wendi , Lo Oiling Winona , Hu Chuying
Published: May 2024

In the past decade, a number of contemporary psychotherapy approaches for trauma have extracted Buddhist ideas and practices into their treatment models. However, there has been growing criticisms that are primarily rooted in the concern that these practices have been taken out of their original Buddhist context, necessitating the implementation of holistic Buddhist knowledge among mental health professionals. In response, this qualitative study aims to explore the treatment of traumas by utilizing a Buddhist counseling approach that incorporates the wisdom and principles of Buddhism. Seven experts with advanced training in Buddhism and experiences in Buddhist counseling for trauma were interviewed. The results indicate that Buddhist counseling facilitates the development of concentration, enabling clients to cultivate wisdom in addressing their rigid attachment to self-identity or self-notion. Various specific Buddhist counseling interventions were discussed. Initially, the research question aimed to explore the Buddhist conceptualization of trauma. However, the participants encountered difficulties in understanding the Western construct of trauma. To them, trauma was simply suffering associated with concepts such as grief, loss, and challenging life experiences
Perception of Emotions and Colours Among Ukrainians
Authors: Milutina Katerina , Balashevych Oleksandra , Zarubin Illia
Published: May 2024

The study presents research results on the associative connection between emotions and colours among Ukrainian-speaking and non-Ukrainian-speaking Ukrainians. It aims to confirm or refute the constancy of associations between the ten differential emotions identified by C. Izard and different colours, as well as the specificity of the relationship of these associations for the Ukrainian-speaking audience compared to the non-Ukrainian-speaking one. The survey questionnaire comprised a socio-demographic section, which incorporated a query regarding the language that the respondents learned to speak initially. The methodology was based on the free association method, where the stimulus material consisted of the names of ten specified emotions, and the respondents were expected to provide the colours that came to mind first. The study involved 127 participants aged between 18 and 60, of whom 109 were female and 18 were male. The study showed a constant associative relationship ratio between emotions and colours. In contrast, this ratio's specificity in the Ukrainian sample was not supported compared to the non-Ukrainian sample. This finding highlights the need for further research into the influence of language, culture, and individuality on colour perception in modern conditions. The second result shows that some emotions have more associative colours than others, indicating the existence of emotion colour attributes. It allows for the analysis of the uniqueness of each individual's experience of different emotions.
Gravitating towards Artificial Intelligence on Anti-Money Laundering A PRISMA Based Systematic Review
Authors: Milon Md Noor Uddin
Published: May 2024

In Bangladesh, like many other countries, the implementation of Anti-Money Laundering (AML) measures plays a crucial role in the fight against financial offences and the maintenance of the financial system's integrity. The integration of Artificial Intelligence (AI) is one of the technologies for AML that has emerged as a promising approach to enhance the detection and prevention of financial crimes. The researcher aims to investigate the current state of AML, the impact of AI, the roles involved, and the legislation to achieve economic stability for the transformation of Bangladesh into a smart nation by 2041. In this systematic review study, the PRISMA framework is utilized to provide a comprehensive analysis of existing literature on the application of AI in AML, with a focus on risks, laws, and implications, particularly within the context of Bangladesh. The review synthesizes findings from diverse sources (Web of Sciences, Scopus, PubMed, and DOAJ indexing articles and reports) including academic research, industry reports, and regulatory documents, to assess the effectiveness, challenges, and ethical considerations associated with AI-driven AML solutions. Through a structured search strategy and rigorous selection criteria, the researchers discovered a total of 299 research papers, consisting of 181 latest studies and 117 previous relevant studies identified and analyzed to elucidate key trends, methodologies, and gaps in the current landscape of AI-enabled AML practices. The review also offers insights and recommendations for policymakers, practitioners, and researchers interested in leveraging AI technologies to combat money laundering effectively while navigating regulatory frameworks and safeguarding privacy rights. By critically examining the intersection of AI, AML, and legal frameworks, this study contributes to the ongoing discourse on the role of technology in addressing financial crime challenges in Bangladesh and beyond.