bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGEMBANGAN LKPD BERBASIS STEM (SCIENCE, TECHNOLOGY, ENGINEERING AND MATHEMATIC) UNTUK MENINGKATKAN KETERAMPILAN PROBLEM SOLVING DI SMPN 3 KOTA TERNATE
Authors: Apling Mujais , Nur Hartina M
Published: August 2024

LKPD berbasis STEM (science, technology, engineering, and mathematics) merupakan kolaborasi antar empat bidang pengetahuan dalam kehidupan nyata peserta didik untuk mengidentifikasi, berinovasi serta memecahkan suatu permasalahan dalam menciptakan suatu proyek atau produk Tujuan dari penelitianPenelitian ini pada dasarnya bertujuan untuk melihat pengaruh LKPD berbasis STEM untuk meningkatkan keterampilan problem solving pada materi bioteknologi konvendional. Penelitian ini merupakan jenis penelitan dan pengembanagan (Research dan Development) atau RD. Penilitian ini menggunakan Instructional Design (Desain pembelajaran) dengan pendekatan ADDIE, Penelitian yang akandilakukan ini mengunakan penelitian deskriptif. Untuk mengung pengaruh bahan ajar LKPD berbasis STEM untuk meningkatkan keterampilan problem solving pada materi bioteknologi konvensional di SMPN 3 Kota Ternate. Sampel penelitian sebanyak 20 siswa. Hasil penelitian yang dilakukan diketahui bahwa LKPD berbasis STEM (Science, Technology, Engineering and Mathematic) sangat berpengaruh dalam melatih kemampuan problem solving siswa dengan kategori tinggi pada presentase 72%.
PENAPISAN FITOKIMIA EKSTRAK METANOL AKAR Gofasa (Vitex Cofassus) asal Pulau Halmahera DAN POTENSINYA SEBAGAI ANTIOKSIDAN dan ANTIKOLESTEROL
Authors: Khadijah Khadijah , Merlin Merlin , Baturante Nurjannah , Sernita Sernita , Sumarna Sabir , Jayali Ahmad Muchsin
Published: August 2024

Vitex cofassus (Gofasa) merupakan salah satu tanaman tropika yang secara tradisional telah digunakan sebagai bahan obat. Skrining  fitokimia, uji antioksidan, antikolesterol dan uji toksisitas terhadap A. salina terhadap ekstrak metanol Vitex cofassus  telah dilakukan. Ekstraksi komponen kimia dilakukan dengan cara maserasi dengan pelarut metanol dan dilakukan uji fitokimia terhadap ekstrak untuk mengetahui komponen kimianya. Uji kolesterol dilakukan dengan menggunakan metode CHOD-PAP dan uji antioksidan dilakukan dengan metode DPPH.  Hasil  skrining fitokimia menunjukkan ekstrak metanol akar V. cofassus mengandung alkaloid, terpenoid, flavonoid dan tanin. Ekstrak metanol akar V. cofassus memiliki kemampuan untuk menurunkan kolesterol sebanyak 92% dan memiliki nilai IC50 terhadap DPPH sebesar  65.043 µg/mL. Hal ini menunjukkan ekstrak metanol akar V. cofassus memiliki kemampuan sebagai antikolesterol dan antioksidan.
Data Mining Clustering Analysis of Child Growth and Development Using the K-Means Method
Authors: Nurjannah Eka , Nasution Marnis , Muti’ah Rahma
Published: August 2024

This research aims to group children based on their growth and development characteristics. This method helps identify groups of children with normal growth and development, early signs of growth and development problems, and serious growth and development problems. The stages used in this research follow the Knowledge Discovery in Database (KDD) process, which consists of data selection, data pre-processing, data transformation, data mining, and evaluation or interpretation of results. By applying the K-Means method, this research aims to provide a clearer and more detailed picture of the distribution of children's growth and development problems and assist in decision making for more appropriate interventions. The K-Means method in data mining was used to group 102 sample data into three clusters based on children's growth and development characteristics. The results of this analysis show that 38 samples fall into Cluster 1 (C1), 36 samples into Cluster 2 (C2), and 28 samples into Cluster 3 (C3). Evaluation of clustering results is carried out using Box Plot and Scatter Plot. Box Plot shows a clear distribution of data for each cluster, ensuring that the data grouping corresponds to statistical evaluation. Cluster C1 is toddlers with normal growth and development. Cluster C2 shows early signs of growth and development problems. Cluster C3 indicates serious growth and development problems
Agile Project Management Impacts Software Development Team Productivity
Authors: Rahman Abdul , Indrajit Eko , Unggul Akhmad , Dazki Erick
Published: August 2024

The agile nature of the software development sector calls for flexible and effective project management techniques. Agile Project Management (APM) is emerging as a significant method that supports team cooperation, iterative improvement, and flexibility. This paper looks at how agile project management might affect software development team output. This study investigates the primary Agile methodologies Scrum and their impact on team productivity by means of a thorough literature review and empirical analysis. A mixed-methods approach employs qualitative comments and quantitative measures to provide a comprehensive view of output changes. We examine several software development teams inside a mid-sized technology company over 12 months using a case study approach, comparing productivity measures before and after Agile practices, including team satisfaction, development pace, and code quality. Furthermore, team member surveys and interviews offer an understanding of the supposed advantages and difficulties of switching to Agile approaches. Teams showing more efficiency, improved communication, and better morale point to a notable rise in productivity. Notable improvements included improved adaptability to shifting project needs and a shorter time-to-market for software products. This paper offers an insightful analysis of Agile Project Management's ability to revolutionize software development processes, helping companies trying to improve project results. This study has consequences for managers and practitioners because it provides valuable instructions for implementing Agile approaches to achieve the best team performance. Future directions of study will include investigating the long-term effects of Agile methods and their relevance in various organizational settings.
Classification of Avocado Ripeness Levels Using CNN Method
Authors: Wibowo Gamma Wira , Mulyanto Edy
Published: August 2024

This research aims to develop a model for classifying the ripeness level of avocados using the Convolutional Neural Network (CNN) algorithm. The dataset comprises images of avocados categorized into three classes: unripe, ripe, and overripe. The CNN model is trained to classify the images into one of these three categories. The results indicate that the developed model can classify avocado images with high accuracy. The primary tool used for developing and implementing this method is MATLAB R2022a. The CNN algorithm is utilized to recognize and classify the ripeness level of avocados. This process involves several image processing steps, starting with preprocessing, image enhancement, and segmentation to isolate the avocado area. The dataset used in this research consists of 452 images distributed in 3 classes (unripe with 142, ripe with 66, and rotten with 244), with 80% used for training and 20% for testing. After 10 accuracy tests, the results indicate an accuracy rate of 90%. Additionally, features extracted from the images include color, shape, size, and texture characteristics, such as Mean, Standard Deviation, Kurtosis, Skewness, Variance, Entropy Value, Maximum Pixel, and Minimum Pixel. This research contributes to the field of agricultural technology by providing a robust method for the automatic classification of avocado ripeness. The findings are expected to facilitate accurate and efficient recognition of avocado ripeness, thereby supporting agricultural practices and market operations. Future research could explore the use of data augmentation techniques to further improve the accuracy and generalization of this model.
Implementation of the C4.5 and Naive Bayes Algorithms to Predict Student Graduation
Authors: Lianah Lianah , Harahap Syaiful Zuhri , Irmayati Irmayati
Published: August 2024

This research aims to determine student graduation using two data mining methods, namely the Naive Bayes Classifier and the C4.5 Algorithm. Research stages include data analysis, data pre-processing, model design in data mining, classification results, method evaluation, and evaluation results. This research uses student data consisting of training data and testing data to evaluate the performance of the two methods in predicting student graduation based on attributes such as attendance scores, behavior scores, Final Semester Examination (UAS) scores, and report card scores. The classification results show significant differences between the two methods. The Naive Bayes Classifier produces predictions that 37 students pass and 17 students do not pass, while the C4.5 Algorithm predicts that 30 students pass and 24 students do not pass. This difference in results indicates that there are differences in the approaches of the two methods to student graduation data, with the Naive Bayes Classifier tending to provide more positive predictions than the C4.5 Algorithm. Evaluation of the performance of the method shows that the Naive Bayes Classifier has an accuracy rate of 100%, which is a perfect result, while the C4.5 Algorithm has an accuracy rate of 89%. This significant difference in evaluation results confirms that the Naive Bayes Classifier is superior in classifying student graduation compared to the C4.5 Algorithm in the context of this research. These findings can help in making decisions regarding student graduation evaluations in the future.
Edge Computing Architecture Sensor-based Flood Monitoring System: Design and Implementation
Authors: Hindarto Djarot
Published: August 2024

The purpose of this research is to develop and execute a system for monitoring floods using sensors and edge computing architecture. The goal is to make flood detection and prediction more accurate and faster. The growing frequency and severity of flood disasters in different parts of the world has prompted the necessity for a better system to track these events. The primary goal of this study is to design a system that can reduce network load and latency by processing sensor data locally at edge devices before sending it to the cloud. To detect and anticipate flood events, the research method incorporates several environmental sensors that measure things like soil moisture, water level, and rainfall. These readings are subsequently processed by edge nodes using machine learning algorithms. Compared to more conventional methods that depend only on cloud computing, the results demonstrate that the system can deliver quicker and more accurate predictions. Results showed a detection and prediction accuracy of 98.95% for floods. Edge computing also succeeded in drastically cutting down on bandwidth consumption and communication latency. This research concludes that edge computing architecture based on sensors can effectively monitor floods and has excellent potential for use in many different areas prone to flooding. Improving the prediction algorithm and investigating its potential integration with a more thorough early warning system should be the focus of future research.
K-Means and Naive Bayes Algorithms for Evaluation of Education Personnel Performance Based on SPMI Standards
Authors: Wahyudi Eko , Wijaya Rian Farta , Khairul Khairul
Published: August 2024

This research compares the K-Means and Naive Bayes algorithms in evaluating the performance of educational staff based on SPMI standards at STMIK Triguna Dharma. The main objective is to identify the effectiveness of the two algorithms in grouping performance evaluation data and determine the advantages and disadvantages of each method. Primary data was obtained through surveys and interviews, while secondary data came from institutional archives. The K-Means algorithm shows 100% accuracy with the ability to group educational staff into very good, good, quite good, poor and poor performance categories. Meanwhile, the Naive Bayes algorithm shows 91% accuracy, with 100% precision results for the "good" and "fairly good" categories. These results indicate that K-Means is more effective in grouping educational staff based on performance evaluation compared to Naive Bayes. This research makes a significant contribution in the field of evaluating the performance of educational staff and offers insights for a more effective implementation of SPMI in higher education.
Machine Learning to Predict Student Satisfaction Level Using KNN Method and Naive Bayes Method
Authors: Arfah Dinda Julia , Masrizal Masrizal , Irmayanti Irmayanti
Published: August 2024

This research aims to apply machine learning techniques in classifying student satisfaction levels at the Faculty of Science and Technology, using the K-Nearest Neighbors (KNN) and Naive Bayes methods. This method was chosen because of its ability to manage classification data and provide accurate predictions regarding student satisfaction with the faculty. It is hoped that this research will provide a deeper understanding of the factors that influence student satisfaction as well as the potential for developing a better evaluation system in the future. This research was carried out through structured stages, starting from selecting the right data to collect relevant information, designing the model by applying the KNN and Naive Bayes methods, to evaluating the performance of the model being built. The data used consisted of 110 student data, where the classification results showed that 104 students were satisfied and 6 other students were dissatisfied with the faculty. The evaluation process produced excellent accuracy, with the Test and Score results and confusion matrix showing an accuracy level exceeding 90%. In conclusion, this research succeeded in showing that the KNN and Naive Bayes methods were effective in classifying the level of student satisfaction at the Faculty of Science and Technology. The results obtained confirm that both methods are reliable in managing and analyzing student satisfaction data efficiently, and provide valuable insights for educational institutions to improve student services and experiences in the future
Sentiment Analysis of the Indriver Online Ojek Application using the Naïve Bayes Classifier Method
Authors: Akbar Muhammad Zidan , Ikhsan Muhammad , Zufria Ika
Published: August 2024

According to statista.com, there are 73.1 million online motorcycle taxi users in Indonesia and there are 68.1 million active online motorcycle taxi users in Indonesia especially in the province of North Sumatra, there are 43,811 online motorcycle taxi drivers. The Indriver online motorcycle taxi application is an international online transportation service that gives passengers and drivers the freedom to negotiate prices. Sentiment analysis analizes text to determine positive, negative, or neutral sentiments. The method commonly used in sentiment analysis is the Naive Bayes Classifier method. This research uses quantitative methods to analyze sentiment toward the InDriver online motorcycle taxi application by utilizing the Naïve Bayes Classifier algorithm. User review data is collected from reviews on the Google Play Store, then cleaned and converted into a format suitable for statistical analysis. To analyze sentiment towards the InDriver online motorcycle taxi application using the Naïve Bayes Classifier method, collecting review data and user comments using the Python library and the Visual Studio code application, carrying out preprocessing, TF-IDF weighting, dividing the data into 70% and 30%, after that conducting testing using naïve Bayes classifier algorithm, as well as carrying out evaluation using a confusion matrix. The results of calculating the level of accuracy using the Naïve Bayes method for sentiment classification can be said to be good, this can be seen from the accuracy results on a dataset of 1393 with a comparison of training data and test data of 7:3, obtaining an accuracy value of 76%, precision of 71% , recall of 81% and f1-score of 76%. The results of this research analysis produced superior positive sentiment totaling 677 and negative sentiment totaling 608 while neutral was 90
Fotobiomodulação na estabilidade de implantes dentários
Authors: Sena Natã Ferreira Gama de , Meira Carlos Eduardo
Published: August 2024

A terapia de fotobiomodulação (PBMT) promove a estabilidade de implantes dentários usando luz para estimular processos biológicos, acelerando a cicatrização óssea e tecidual. Estudos mostram que PBMT aumenta a atividade dos osteoblastos e a angiogênese, melhorando a osseointegração. Com propriedades anti-inflamatórias e analgésicas, PBMT reduz desconforto pós-operatório, beneficiando especialmente pacientes com cicatrização comprometida, como diabéticos ou osteoporóticos. Dessa forma, o objetivo dessa revisão narrativa da literatura é apresentar a PBMT como opção terapêutica na estabilidade de implantes dentários. A terapia de PBMT é promissora na odontologia, especialmente para estabilizar implantes dentários e promover a osseointegração. Utilizando luz de baixa irradiância, a PBMT estimula processos biológicos e acelera a cicatrização sem danos térmicos. Estudos mostram benefícios na estabilidade inicial dos implantes. No entanto, a padronização dos protocolos de tratamento é necessária para garantir resultados consistentes e evitar efeitos adversos.
A eficácia da terapia ABA em pacientes adultos com diagnóstico de autismo
Authors: França Karla Valéria Paiva de , Morais Sirlany Martins de , Rocha Yloma Fernanda de Oliveira
Published: August 2024

O diagnóstico do Transtorno Espectro Autista requer investigação extensa para obter o tratamento desde o início. Diante disso, a Análise do Comportamento Aplicada - ABA visa avaliar a habilidade atrasada ou ausente, passando por cada etapa para alcançá-la de forma eficaz. Um dos objetivos da ABA é validar as habilidades que a pessoa com autismo domina e ensinar as habilidades que ainda não domina. O objetivo geral deste estudo foi compreender os benefícios da ABA para o tratamento do adulto com Transtorno Espectro Autista - TEA. A elaboração do presente estudo no que diz respeito ao procedimento, utilizou a pesquisa bibliográfica narrativa, exploratória e de cunho explicativo. Foram utilizados como base trabalhos publicados por proporcionar importantes contribuições para o tema proposto, e materiais entre 2000 até 2023, e as palavras-chaves: TEA, ABA, ABA. Pacientes Adultos. Portanto, observou-se que a aplicação da ABA em adultos requer uma abordagem personalizada e respeitosa que leve em consideração as preferências, necessidades e objetivos individuais do adulto autista. Os resultados deste estudo sugerem que a integração social deste paciente pode ser alcançada através do desenvolvimento de autonomia e maior independência nas atividades diárias, ampliando habilidades funcionais e proporcionando melhor qualidade de vida a todos os envolvidos em sua situação social.
Evidências preliminares de duas novas escalas de autismo: Uma proposta de rastreio de sintomas na população adulta e no público feminino
Authors: Benevides Sílvia Barbosa , Souza Emanuelle Cordova de , Soares Artur Gil Bezerra , Ferreira Lucas Fortaleza de Aquino , Marques Louise , Lopes Everson Rangel , Anunciação Luis
Published: August 2024

Tem ocorrido um aumento de indivíduos mais velhos diagnosticados com Transtorno do Espectro Autista (TEA), o que possibilita considerar o uso de instrumentos usados para tal finalidade. Diante disso, o objetivo principal deste estudo é apresentar as etapas iniciais de construção de duas medidas que visam auxiliar este diagnóstico. Foi realizada uma busca da literatura com enfoque em buscar medidas sobre sintomas associados ao TEA, com público-alvo adulto ou especificamente mulheres adultas. Em seguida, especialistas de neuropsicologia e psicologia avaliaram qualidades da clareza e pertinência dos itens destas medidas. A partir da análise estatística e dos comentários dos especialistas, foram revisados os itens e duas versões foram criadas. De forma geral, foram observadas pontuações adequadas ao considerar a perspectiva dos especialistas sobre a clareza e pertinência dos itens das escalas. Em síntese, indica-se que futuros desenvolvimentos de instrumentos com finalidades diagnósticas considerem essas diferenças de gênero, incorporando itens que capturem as manifestações mais sutis e específicas de TEA em mulheres.
Gestão de riscos e auditoria contábil como mecanismo de transparência e credibilidade das organizações: Um estudo de caso nas empresas listadas no Novo Mercado da B3
Authors: Santos Karine Silva , Falcão Leonardo Macedo , Azevedo Maria Inês Aranha , Reinaldo Cristiano Melo
Published: August 2024

Este estudo objetiva analisar o processo da Governança Comparativa e Gestão de Riscos em organizações listadas no Novo Mercado da B3, setor de consumo cíclico, subsetor comercio, segmento produtos diversos. Dessa forma, o presente artigo buscou analisar a participação dos mecanismos de Gestão de Riscos e a auditoria Externa das empresas listadas na B3 no período de 2019 a 2022. Quanto à metodologia, o estudo pode ser classificado como pesquisa bibliográfica e descritiva, com abordagem qualitativa a partir da análise dos formulários de referência e das demonstrações financeiras das empresas listadas no Novo Mercado da B3. Para a análise, os pesquisadores criaram um instrumental como forma de guia para obtenção dos resultados. O artigo foi dividido em três seções, a primeira trata-se da fundamentação teórica com os itens de auditoria contábil e demonstrações financeiras, governança corporativa e teoria dos stakeholders e gestão de riscos corporativos. Foi obtida as conclusões de que os mecanismos de confiabilidade das informações fornecidas pelas empresas são frágeis a ponto de vir a público indícios de erros e fraudes.
Non-surgical endodontic treatment of a type III dens invaginatus with large perirradicular radiolucency using bioceramic materials: Case report
Authors: Marra Bárbara de Assis , Galvão Alexia Mata , Araújo Ana Clara Alves , Caram Cristiane Melo , Mendes Jessica Monteiro , Oliveira Maria Antonieta Veloso Carvalho de
Published: August 2024

Dens invaginatus (DI), also known as dens in dente, is an uncommon dental anomaly in humans, characterized by irregular morphological development during odontogenesis, which can manifest in various coronal and radicular anatomies. Endodontic treatment of teeth with this variation demands anatomical knowledge, detailed planning, and the use of specialized techniques and materials. The objective of this research is to detail, through a case report, the non-surgical endodontic treatment of type III dens invaginatus in the upper lateral incisor with extensive periapical lesion, using bioceramic materials. An 18-year-old female patient was referred to the referral center by an orthodontist after radiographic examination revealed an extensive periapical lesion on tooth 12. Consequently, cone beam computed tomography was requested to assess the lesion and internal/external anatomy. The endodontic treatment was performed entirely under operative microscopy, utilizing mechanized instrumentation and thermoplasticized obturation. Disinfection was enhanced through activated irrigation technique and intracanal placement of bioceramic medication, with periapical repair achieved using bioceramic sealer cement. Long-term follow-up demonstrated that conservative endodontic treatment, employing modern techniques alongside bioceramic materials, proved effective in resolving complex cases.
PERFORMANCE OF ROBUST SUPPORT VECTOR MACHINE CLASSIFICATION MODEL ON BALANCED, IMBALANCED AND OUTLIERS DATASETS
Authors: Sembiring Muhammad Ardiansyah , Saputra Herman , Yusda Riki Andri , Sutarman Sutarman , Nababan Erna Budhiarti
Published: August 2024

In the realm of machine learning, classification models are important for identifying patterns and grouping data. Support Vector Machine (SVM) and Robust SVM are two types of models that are often used. SVM works by finding an optimal hyperplane to separate data classes, while Robust SVM is designed to deal with uncertainty and noise in the data, making it more resistant to outliers. However, SVM has limitations in dealing with class imbalance and outliers in the dataset. Class imbalance makes the model tend to predict the majority class, and outliers can interfere with model formation. This research compares the performance of SVM and Robust SVM on normal, unbalanced and outlier datasets. The software uses Python and Scikit-learn for implementation and comparison of the two models. Key features include automatic data preprocessing, model training, and evaluation with metrics such as accuracy, precision, recall, and F1 score. The results show that Robust SVM is superior in accuracy on normal datasets and is very effective in dealing with class imbalance, achieving a maximum accuracy of 100%. On datasets with outliers, Robust SVM maintains stable accuracy, demonstrating its robustness to outliers. This research contributes to correspondence management by providing more reliable classification models, improving data processing accuracy, and supporting more informed decision making in software development
Searching for sea lice: surveillance to assess environmental infection pressures to model and inform sea lice infestation management
Authors: Rabe B , Murray AG , Ives SC , Moriarty M , Morris DJ
Published: August 2024

The expansion and development of sustainable salmon aquaculture requires research, innovation and, where necessary, regulation to manage environmental impacts. Sea lice are a key concern for marine salmonid fish aquaculture as these parasites adversely affect farmed and wild salmonids. Reducing the risk of harmful infestation levels requires appropriate data to support modelling and inform adaptive management processes. Throughout their life cycle, sea lice occur as either planktonic larvae or as ectoparasites on farmed, wild or sentinel fish host populations. Limited resources require surveillance methodologies and strategies for these stages to be optimized to obtain data that meet the specific needs of control. In this review we assess the different surveillance strategies available to inform the appropriate management of sea lice impacts on wild salmonids. We advocate modelling as the most effective way to use surveillance data, with subsequent model improvements informed by the continued input of collected data. A feedback loop is proposed of identifying/collecting empirical data to improve models, which in turn will direct more focused surveillance for future data collection and so drive adaptive management processes. In the future, surveillance monitoring, as part of an adaptive management regime in Scotland, should build on existing links between stakeholders and policy makers, and use both models and data to help the sustainable development of the aquaculture industry.
The exposome puzzle
Authors:   , Ohanyan Haykanush
Published: August 2024

Obesity is a chronic condition that leads to a range of other non-communicable diseases, including type 2 diabetes (T2D). In recent decades, the incidence rates of obesity and T2D have risen alarmingly, posing a significant threat to global health. The rise in these conditions may be linked to changes in our surrounding environments. Environmental factors can influence obesity and T2D risks directly (e.g., pollutants, toxins) or indirectly by affecting behaviour.
Studies have shown that our built environment, walkability, transportation, and other factors can influence obesity through physical activity levels. The local food environment, air pollution, and noise have also been linked to obesity and particularly to T2D risk. Furthermore, in high-income countries, individuals with lower income and education are generally more likely to experience higher rates of obesity and T2D. However, the results remain heterogeneous and vary across different countries and regions.
Despite substantial research, a few studies examined the joint exposure to various factors. In real life we are exposed to various environmental stressors simultaneously, forming our exposome. Therefore, it is important to study their joint effects. Most earlier research focused on single exposures, potentially neglecting complex interrelations among these components. In this doctoral thesis, I applied discovery-based approaches to investigate a large set of environmental drivers of obesity and T2D in adults. I employed advanced statistical methods to comprehensively study the exposome factors as parts of one complex system. The results showed that neighbourhood-level social and economic factors, walkability, temperature, loneliness were associated with obesity and T2D risk.
Doğu Akdeniz Sorunu Çerçevesinde Avrupa Birliği’nin Türkiye’ye Karşı Aldığı Önlemlerin Uluslararası Hukuk Bakımından Değerlendirilmesi
Authors: Ünyılmaz Habip
Published: August 2024

Uluslararası örgütlerin üyesi olmayan devletlere karşı aldıkları önlemlerin uluslararası hukuk bakımından niteliğinin belirlenmesi ve bu önlemlerin hukuki incelemesinin yapılması, günümüzde artan uygulama örnekleri dikkate alındığında, önem arz etmektedir. Bu çalışmada Avrupa Birliği (AB) tarafından Doğu Akdeniz’deki sondaj ve arama faaliyetleri nedeniyle Türkiye’ye karşı başvurulan önlemlerin örnekliğinde bir inceleme yapılacaktır. Önce Türkiye’ye karşı alınan önlemlerin neler olduğu tespit edilecektir. Ardından uluslararası örgütlerin başvurdukları önlemler cebrî karakterleri esas alınarak genel uluslararası hukuk bakımından sınıflandırılacak ve her bir önlem kategorisine dair temel bilgiler ve ayırt edici hususlar aktarılacaktır. Türkiye’nin AB üyesi olmaya aday devlet statüsü önlemler bakımından kısaca incelendikten sonra, AB’nin aldığı önlemlerin söz konusu önlem kategorilerden hangisine dâhil olabileceği ve hangi şartların gerçekleşmesi gerektiği muhtemel gerekçeler dikkate alınarak sunulacaktır. Ulaşılabilen bilgiler ışığında önlemlerin uluslararası hukuka uygunlukları ve muhtemel hukuka aykırılık durumları değerlendirilecektir. Bu makale gerek uluslararası örgütlerin gerekse devletlerin farklı gerekçelerle sıkça başvurdukları önlemlerin uluslararası hukuk bakımından durumuna ve sınırlarına ilişkin bir vaka çalışmasıdır.
Yargıtay Kararlarında Mirasçıların Miras Hakkını Konu Ettiği İşlemlerin Nitelendirilmesi Sorunu
Authors: Akkanat Öztürk Elif Beyza
Published: August 2024

Mirasın açılmasından önce miras payı, alelade bir beklentiden ibarettir. Hukuka uygunluğu “ahlaka aykırılık” düzeyinde farklı hukuk düzenlerinde tartışma konusu edilse de Türk hukukunda açılmamış miras payının da “devri” mümkündür. Muhtemel miras payının konu edildiği hukuki işlemler “devirle” de sınırlı değildir. Ayrıca muhtemel mirasçı, miras payından feragat edebilir. Mirasın açılmasının ardından ise yine miras payının devrine ve paylaşma esaslarının belirlenmesine dair ayrı bir hukuki rejim öngörülmüştür. Bu çalışmanın konusunu Yargıtay kararlarının miras hakkına yönelik gerçekleştirilen bu nevi hukuki işlemlere yaklaşımıdır.
Miras hukukunun kendisine özgü bir hukuki rejimi mevcuttur. Özellikle “sınırlı sayı ve tipe bağlılık ilkesiyle” sınırlandırılmış bu özgün hukuki işlem rejimindeki uyuşmazlıkların da sonuçları itibarıyla özellikli olması kaçınılmazdır. Ancak yargı kararlarında miras payının konu edildiği hukuki işlemlerin sınıflandırılmasında kanuni çizgilerin aşıldığı görülmektedir. Bu çalışmada Yargıtay kararlarında miras payının konu edildiği hukuki işlemlerin nitelendirilmesi sorununu ele alınmıştır. Böylece işlemlerin nasıl nitelendirildiği ve nasıl nitelendirmesi gerektiği değerlendirilmiştir.
EVALUATION OF POSTOPERATİVE MORBİDİTY FOLLOWİNG OPERATIONS OF IMPACTED MANDIBULAR THIRD MOLARS WITH BONE RETENTION
Authors: Sancar Bahadır , Üstündağ İrfan
Published: August 2024

This study is aimed to see how gender and whether tooth is placed on the right or left affected the length of the operation, edema, trismus, and discomfort after surgical extraction of an impacted mandibular third molar. This prospective study was conducted in the Inonu University. The study included 104 mandibular wisdom tooth with bone retention. There were 55 females and 49 males among the 104 patients, with 53 left and 51 right impacted mandibular third molar. The operations were performed by the same surgeon in the same operating room. The time between the incision and the suture was determined and recorded as the operation time for each procedure. Before surgery, on the 2nd postoperative day, and on the 7th postoperative day, the patients were compared in terms of facial swelling impacted mandibular third molar, discomfort, and trismus. IBM SPSS V23 was used to evaluate the data. The left impacted mandibular third molar extraction takes longer than the right impacted mandibular third molar extraction. Tooth 38, which have a longer operation time, are more prone to swelling, discomfort, and trismus. When tooths are extracted, right-handed surgeons cause less postoperative morbidity 48. We recommend that both right-handed, left-handed surgeons operate in clinics that conduct impacted tooth extractions.
DETERMINATION OF MODULUS OF ELASTICITY OF ASPHALT CONCRETE WITH FLY ASH USING THE WITCZAK MODEL
Authors:   SE ", Sokolov Oleksiy ,   NIRI"
Published: August 2024

Summary. In Ukraine, about 30% of all electricity is produced by burning solid fuels - coal, shale, and peat. In our country, there are about 15 operating thermal power plants, which generate about 5-6 million tons of ash and slag waste as a secondary product per year. Thus, the waste of the fuel and energy complex, which is formed in the furnaces of thermal power plants, is a huge accumulation of ash in the form of dust-like residues and lumpy sludge, as well as various ash-slag mixtures. These products of high-temperature processing (1200-1700 ºС) of the mineral part of the fuel are widely used in many countries of the world, and taking into account the global trend of increasing the share of the secondary market for the use of waste, it is necessary to predict an increase in the rate of their processing in Ukraine as well. Problems. In Ukraine, as a filler, the material obtained by crushing carbonate rocks is used as a filler, which is established in DSTU B B.2.7-121. At the same time, as a result of burning coal, millions of tons of dust-like waste - fly ash - are generated at power-generating enterprises of Ukraine. In terms of indicators, this material approaches the requirements for filler according to DSTU B V.2.7-121 and can be used for the production of asphalt concrete mixtures.
SYSTEMATIC IMPROVEMENT OF WATER LEGISLATION IS THE KEY TO REVITALISING RIVER BASINS AND WATER BODIES
Authors:   National University «Yuri Kondratyuk Poltava Polytechnic», Shara Svitlana
Published: August 2024

Summary. The article determines that one of the main factors of revitalisation of water bodies and maintenance of high-quality water supply in Ukraine is institutional support of water relations. The author analyses the scientific experience and compares the existing legal systems of water law in the countries of the world and in Ukraine. The main unresolved problems of legal regulation of water relations and water resources management in Ukraine are formulated. Specific institutional steps for the development of legal institutions of water legislation in Ukraine are outlined. The author identifies the need to change the emphasis towards the ecologisation of water law in Ukraine and the development and adoption of a fundamentally new Water Code of Ukraine based on the requirements of international legal and economic systems. Key words: law, right, water legislation, responsibility, revitalisation, water cadastre.
TO THE ISSUE OF EQUIPPING A CATEGORY O2 TRAILER TRAIN
Authors:   National Transport University, Sakhno Volodymyr , Onyshchuk Vasyl ,   Lutsk National Technical University, Stelmashchuk Valeriy ,   Lutsk National Technical University, Stelmashchuk Stanislav ,   Lutsk National Technical University
Published: August 2024

Summary. In recent years, enterprises and private manufacturers of Ukraine have mastered the production of a wide range of trailers. Today, trailer manufacturers offer a wide range of various designs, including those with large dimensions and strong sides. Thanks to this, the devices can transport not only bulky goods, but also those that are not recommended for transportation in the car cabin. The trailer, in particular a multifunctional one, will become indispensable for the transportation of construction materials, the removal of garbage and other waste after repairs, the transportation of heavy equipment, office and household furniture, etc. In the production of multi-functional trailers of the PVBF type, the main component products (running and braking systems, coupling devices, parking risers, winches, element base for fixing sides and doors, etc.) manufactured by the companies "Knott", "AI-Ko Kober", " Reynolds transport systems (Europe)", "Aluvan", etc., which meet modern certification requirements. For these trailers, the general characteristics of the mass and dimensional parameters of the five main groups of the standard size series, which differ in gross weight (1500, 2000,……3500 kg) and trailer base (2500...5000 mm), are defined. Taking into account that the weight of the trailer should not exceed the weight of the towing vehicle, you can choose your own towing vehicle for each group of the size series. When choosing a traction vehicle, you should proceed from the condition of ensuring the movement of the road train at maximum speed. Under this condition, the maximum engine power of the traction vehicle for a road train with a trailer weight of 1,500 to 3,500 kg is determined. The obtained power of the motor train engine for the entire standard-sized series of trailers is significantly less than the real power of the traction vehicle engine. Therefore, the traction vehicle must be selected based on mass indicators from the vehicles that are operated in Ukraine. Keywords: car, multi-functional trailer, road train, standard size range, mass, speed, power
THE ROLE OF TECHNOLOGY IN THE MODERN MARKETING ENVIRONMENT: TRENDS AND RESEARCH METHODS IN THE ERA OF DIGITAL TRANSFORMATION
Authors:   National Transport University, Dyachenko Tetyana , Gonchar Tetyana ,   National Transport University, Artemchuk Valentina ,   National Transport University, Parokhnenko Oleksiy ,   National Transport University
Published: August 2024

Abstract. The article reveals the essence of the modern marketing environment in the modern digitization environment. The authors provide a literary opinion of the conceptual apparatus of definitions: "market", "marketing environment", "marketing environment", "macroenvironment of the market" and "marketing microenvironment". The main features of the modern marketing environment are defined. The article examines the impact of scientific and technological progress, characterized by technological changes that deeply affect the way of life, needs and preferences of the consumer. They affect all aspects of business, but most importantly, it is noticeable in the area of innovation. An analysis of the obstacles and opportunities faced by enterprises when implementing digital technologies in marketing and strategies for overcoming these challenges was carried out. Overview of modern methods and tools of data collection, analysis and interpretation in marketing research. Conducting marketing research depends on the further choice of the company's strategic direction, which allows for the creation of a strategic marketing plan To reveal the issue of using data analysis methods to obtain insights into consumer behavior, the effectiveness of marketing measures, and the identification of new opportunities on the market. All issues discussed in the article are relevant and provide an information base for further research. Keywords: marketing environment, marketing research methods, information technologies, digital transformation, marketing.
SUBSTANTIATION OF THE ROAD CONSTRUCTION UNBOUND MATERIALS CALCULATION MODEL WITH GEOGRIDS STABILIZATION
Authors:   National Transport University, Usychenko Olena , Kharin Pavlo ,   Uniprom LLC, Zarichniy Anton ,   National Transport University
Published: August 2024

Summary. Based on the results of experimental studies conducted on different types of flexible pavement structures, the authors of the article examined the behavior of unbound material reinforced with geogrid. A series of static plate load tests were carried out, and the deformation modulus values of traditional and reinforced pavement structures were determined. The impact of the geogrid, installed at the base of the unbound layer of the pavement structure, on its deformation modulus was investigated. It was found that the use of geogrids significantly increases the equivalent deformation modulus of the pavement, depending on the thickness of the inert material layer and the deformation characteristics of the subgrade soil. The effectiveness of the reinforcement depends on the ratio of the deformation characteristics of the pavement and the subgrade soil, as well as the relative depth of the geogrid installation. The greatest effect is achieved on weak soils under large deformations. The results obtained are significant for further research and practical application of pavement reinforcement technology using geosynthetic materials. Keywords: highway, pavement structure, biaxially oriented geogrid, geosynthetic reinforcement, plate load tests, deformation characteristics, loading, reinforcement coefficient, field experiment
EDUKASI LANGKAH-LANGKAH PENGGUNAAN OBAT KONTRASEPSI (PIL KB) KOMBINASI YANG AMAN
Authors: Setiawan Deni , Hadi Samsul , Fajri Ahmad , Aryani Rosiana
Published: August 2024

Individuals and couples' reproductive health greatly benefits from the use of contraception since it enables them to plan and manage pregnancy. The general public is intended to receive information regarding the usage of combined birth control pills from this health promotion. In August and September, events were held at the Kimia Farma Veteran Banjarmasin drugstore. A pretest and posttest are used to evaluate the activities. 26 women, most of whom were in their 21s to 40s and prolific, attended the event. The findings of the pretest, which had an average percentage of accurate answers of 75.34%, and the posttest, which had an average percentage of correct answers of 99.2%, differ from one another. The findings indicate a rise in public awareness, which should influence how the general public and patients behave when taking combined birth control tablets as prescribed
The Roles of Translators and Interpreters: Opportunities and Challenges in Translation and Interpreting Activity
Authors: Nur Fitria Tira
Published: August 2024

This research explores the roles of translators and interpreters in the 21st century, focusing on their differences in work methods, language type focus, context understanding, translation style, processing time, translator tool assistance, role in communication, and additional skills. This research is library research. The analysis shows that both professionals require a deep understanding of culture and language, expert knowledge, and clear communication. Translators must understand cultural knowledge for negotiations, while interpreters facilitate communication between people speaking different languages. They must consider non-verbal cues, and have excellent language skills, quick thinking, effective information processing, and in-depth knowledge of the culture and business practices associated with the languages they translate. Interpreters can use the SIS (Simultaneous Interpretation System) tool or not. In the 21st century, translation and interpretation are complex professions that require adaptability and diverse abilities to navigate globalization. Technical and non-technical factors influence translation continuity, with technical factors like sound systems and lighting affecting quality. Training programs for translators and interpreters have emerged, with certification being a key requirement for recognition.
Teknologi dan Kepatuhan Hukum (Tantangan dan Strategi dalam Sosiologi Hukum)
Authors: Septianingrum Gita Ayu Ajeng , Putri Nabila  , Siti Nurhayati
Published: August 2024

Dialog ini menyelidiki hubungan antara inovasi dan kepatuhan yang sah dalam lingkungan yang sah secara sosiologis. Masyarakat telah memanfaatkan inovasi sebagai alat untuk mengatasi tantangan dan mencari kenyamanan dalam taraf hidup. Kemajuan mekanis, yang sejalan dengan dorongan dalam sains, telah mengubah cara kita menciptakan dan mengubah inovasi menjadi divisi generasi yang menghasilkan produk dan layanan berteknologi tinggi. Bagaimanapun, kemajuan teknologi juga membawa tantangan yang belum dimanfaatkan, seperti depresi yang meluas dan pengurungan sosial, serta dampak negatif pada kesejahteraan mental dan hubungan antarpribadi. Ilmu pengetahuan manusia, sebagai ilmu yang mempertimbangkan hubungan antara manusia dan lingkungannya, merupakan kunci untuk memahami pengaruh inovasi terhadap masyarakat. Ilmu Hukum Manusia, yang menganalisis simbiosis mutualisme antara hukum dan masyarakat, dapat berupa bidang ilmu pengetahuan yang signifikan dalam menghadapi tantangan-tantangan ini di masa maju. Ini menanyakan tentang metode penelitian subjektif ketenagakerjaan, berpusat pada pengumpulan informasi melalui pertimbangan tertulis dan pemeriksaan yang jelas. Diskusi tersebut mencakup tantangan hukum yang muncul di era komputerisasi, seperti perlindungan dan kebebasan dari bahaya informasi, kelimpahan mental dalam komputerisasi, kejahatan dunia maya, dan arah ekonomi berbagi. Penelitian ini juga menyelidiki strategi-strategi yang dapat diambil beberapa negara untuk menanggulangi tantangan-tantangan ini, serta saran-saran sah dan moral yang muncul dalam menghadapi kemajuan teknologi. Prosedur yang diusulkan mencakup perubahan pada kontrol dan undang-undang, penerapan standar sah yang relevan dalam pengaturan inovasi, dan bagian dinamis dari keluarga, sekolah, komunitas, dan negara dalam mengatasi dampak negatif dari alat penggerak mekanis. Dengan kesadaran dan partisipasi, diyakini era masa depan akan lebih cerdas dan gagah dalam menghadapi tantangan inovasi.
Implementasi Kebijakan Penanggulangan Kemiskinan di Yogyakarta: Tinjauan Penerapan Regulasi dan Otonomi Khusus
Authors: Sipahutar Cornelius , Hitalessy Yehezkiel Steferd Kristo , Putri Quinny Azalia
Published: August 2024

Despite its abundance of cultural and natural resources, the Special Region of Yogyakarta continues to grapple with poverty. A significant portion of the population in Yogyakarta continues to experience poverty and has not yet completely reaped the advantages of the special autonomy along with its regulations. This study seeks to investigate the issue of poverty and evaluate the efficacy of special autonomy and regulations. A descriptive qualitative method was employed using a desk study to analyze literature from scientific journals, books, and online sources. The findings indicated that the use of special funds and restrictions has not yielded complete efficacy in mitigating poverty. Enhancing collaboration between the government and the community is necessary, and legislation should be tailored to local knowledge and practices. Efforts should be made to enhance the management of dedicated funds with a specific focus on enhancing human resources so as to achieve a more efficient reduction of poverty.