bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conversion as one of the ways to form grammatical homonymy in the Crimean Tatar language
Authors: Abliametova Susanna Marlenovna , Sattarova Zera Mambetovna 
Published: January 2025

The article uses the material of the modern Crimean Tatar language to consider grammatical homonyms formed as a result of substantiation, adjectivization, and adverbialization of the transition of independent words into service words, primary homonyms. In the Crimean Tatar language, there are grammatical homonyms formed by conversion. Conversion has one important problem – the definition of the original and derivative words in a pair of words formed by the conversion. The main pattern of homonymy of words in different parts of speech is that the transition of words from one part of speech to another is associated with the reduction of a paradigm or the separation of a word form this paradigm. When changing words into unchangeable words, the paradigm shortens and narrows. Homonyms referring to one or different parts of speech express different meanings in terms of their paradigmatic and syntagmatic aspects. When writing this paper, the descriptive method and the method of distributive analysis were used to study grammatical homonymy in the Crimean Tatar language. The analysis of the stated facts allows us to draw the following conclusions. Consideration of grammatical homonyms in the modern Crimean Tatar language, including substantiation, the transition of common names into proper names, adjectivation, adverbialization, the transition of semantic words into official ones, primary homonymy indicates the complex nature of the processes occurring during the formation of vocabulary and grammar of the modern Crimean Tatar language. Syntactic and morphological factors that resolve and formalize syntactic changes form grammatical homonyms. In this process, the unity of action of all sides of the language is manifested, their mutual connection and interdependence. Grammatical homonymy is more abstract than lexical. If lexical homonyms are always represented by separate words – carriers of a certain real content, then grammatical homonymy can be expressed not only in the identity of whole word forms, as in all the examples given, but also in the identity of only grammatical formants, as well as in the identity of grammatical constructions or models. Thus, the essence of grammatical homonymy is that they serve as homonyms only due to the coincidence of grammatical forms and are formed as a result of conversion.
Features of the narrative structure of G. d'Annunzio's novel "The Innocent" in the light of the theory of psychoanalysis Z. Freud's
Authors: Pokhalenkov Oleg Evgen'evich , Simak Nazarii Igorevich 
Published: January 2025

The presented work examines the novel "Innocent" by Gabriel d'Annunzio (Gabriele D'Annunzio "L'innocente", 1892) is one of the most famous and scandalous Italian authors of the 20th century. The main focus of the research is on the analysis of the narrative structure of the novel through the use of Sigmund Freud's concept of psychoanalysis. Thus, the focus of attention falls on: the motif of sleep and dreams, as well as artistic details that become especially important in the light of Freud's concept (for example, the image of a candle). Special attention is paid to the analysis of the artistic space of the novel – its division into toposes and loci (Venice, Rome, the estate of the hero, etc.). An important category is also initiation, which allowed to give a new interpretation to the relationship between the hero and his wife and the murder of a child. The methodological basis of the research is the dialectical method of scientific cognition, in which general scientific and private scientific methods are used. The biographical method made it possible to establish links between the biography of the authors and the features of their works. The method of psychological analysis allowed us to consider the work through the prism of Sigmund Freud's concept of psychoanalysis. And the method of structural analysis made it possible to analyze different levels of the text. The main conclusion of the authors is that the entire narrative of the "Innocent" Gabriel D'Annuzio is a kind of allegory of the hero's growing up path. The hero of the novel, Count Tullio Ermil, was guided by the principle of pleasure, allowing himself to satisfy all his desires, the unconscious dominated the conscious in him, the censorship process was minimal, which led to the realization of repressed desires. The scientific novelty and new contribution of the authors lies in the fact that it was revealed that the murder of Raimondo ("innocent") is a ritual murder inherent in the initiation rite, as a result of which there is a detachment from the mode of the child and the acquisition of the mode of the adult. What is specific in the context of the novel is only that the victim is metaphorically also the murderer.
Stages of Prosecution of Crimes with Aggravation Analysis of Religious Court Decisions
Authors: Aldi Muhammad , Hakim Abdul , Jannah Maya 
Published: January 2025

The state guarantees the lives of its citizens in accordance with Article 28A of the 1945 Constitution. The Criminal Code covers specific crimes including crimes against property in Book Two Chapter XXII, namely Theft. The purpose of this study is to analyse the prosecutor's charges in a case of aggravated theft. The method used in this research is normative research. This type of research uses descriptive qualitative type. The data sources used are two types of primary data sources in the form of case file Number: 814/pid.B/2023/PN.Rap and criminal law books and secondary data sources in the form of books and articles related to this research. The results of this study are the unbalanced prosecutor's charges between the two perpetrators of theft with aggravation. This research concludes that the legal considerations in the judge's decision which sentenced each of the two defendants to 1 year (defendant 1) and 9 months (second defendant). This research is strengthened by the existence of case files located at the Labuhanbatu police station, so that it can be properly analysed.
ПУТИ ОПТИМИЗАЦИИ ТЕХНИКИ ОЦЕНКИ ФУНКЦИОНАЛЬНО-ЭМОЦИОНАЛЬНОГО СОСТОЯНИЯ СПЕЦИАЛИСТА ЭКСТРЕМАЛЬНОГО ПРОФИЛЯ
Authors: Рахиммирзаев С.Б. 
Published: January 2025

Статья посвящена исследованию работы регистратора оценки функционально-эмоционального состояния человека «РОФЭС», его апробированию, выделению основных направлений модификации. Раскрыты пять обновлённых интегральных оценок, которые позволяют перспективно применять «РОФЭС» в ходе отбора кандидатов для профессиональной деятельности экстремального профиля.
The article is devoted to the study of the work of the registrar for assessing the functional and emotional state of a person "ROFES", its testing, and highlighting the main areas of modification. Five updated integral assessments have been revealed, which allow promising use of ROFES during the selection of candidates for professional activities of an extreme profile.
Перспективы применения машинного обучения и нейронных сетей для прогнозирования успешности мероприятий по переводу и приобщению нефтяных пластов
Authors: Зольников Д.Н. 
Published: January 2025

В статье рассматривается подход к повышению успешности мероприятий по переводу и приобщению нефтяных пластов – посредством применения машинного обучения и нейронных сетей. В настоящее время успешность мероприятий по объекту исследования оставляет 50–60 %. В ходе геолого-промыслового анализа было выделено 65 параметров, влияющих на эффективность проведения мероприятий. Обучающая выборка включала 880 фактических проведенных мероприятий по переводу и приобщению пластов. Наиболее точным инструментом для прогнозирования успешности мероприятий оказалась нейросетевая модель – точность прогнозирования на выборке валидации составила более 80 %. Тестирование модели было проведено на отдельной выборке, включающей 50 мероприятий по переводу и приобщению пластов за 2023 г. По результатам прогнозирования 41 из 50 прогнозов оказались верными, что составляет 82 %. Прирост в дополнительной добыче нефти по скважинам тестового набора возможен на 33,9 %. Данный подход позволит повысить точность успешных прогнозов по мероприятиям на 20-30 % по сравнению с существующим подходом, что способствует сокращению числа неуспешных мероприятий и увеличению дополнительной добычи нефти.
The article considers an approach to increasing the success of oil reservoir transfer and integration activities through the use of machine learning and neural networks. Currently, the success rate of activities on the object of research leaves 50-60 %. During the geological and commercial analysis, 65 parameters were identified that affect the effectiveness of the activities. The training sample included 880 actual activities carried out for the translation and introduction of layers. The neural network model turned out to be the most accurate tool for predicting the success of events – the accuracy of forecasting on the validation sample was more than 80 %. The model was tested on a separate sample, including 50 activities for the transfer and incorporation of layers in 2023. According to the forecast results, 41 out of 50 forecasts turned out to be correct, which is 82 %. An increase in additional oil production from the wells of the test set is possible by 33,9 %. This approach will increase the accuracy of successful forecasts for events by 20-30 % compared to the existing approach, which helps to reduce the number of unsuccessful events and increase additional oil production.
Инженер-геолог-геофизик Горгун Владислав Александрович: наставник, изобретатель
Authors: Боровский М.Я. , Богатов В.И. , Борисов А.С. , Равилова Н.Н. 
Published: January 2025

Освещена производственная и педагогическая деятельность яркого представителя Казанской геологической школы. Отмечены научно-практические разработки изобретателя.
The production and pedagogical activities of a bright representative of the Kazan Geological School are highlighted. The scientific and practical developments of the inventor are noted.
Разработка поисковых критериев ловушек углеводородов в неокомском клиноформном комплексе севера Западной Сибири на основе акустического моделирования
Authors: Сенькина К.А. 
Published: January 2025

Основной потенциал нефтегазоносности севера Западной Сибири связан с неокомским клиноформным комплексом. Ввиду значительных глубин залегания перспективных объектов, их изученность глубоким бурением по сей день остаётся крайне низкой. В связи с чем особенно остро встаёт вопрос в разработке критериев для поиска ловушек в данном интервале разреза. В этом заключается актуальность представленной работы. В статье предлагается решение описанной задачи с помощью акустического моделирования секвенсов неокомского комплекса на примере типового разреза севера Западной Сибири. Основанием для применения данной методики является разделение в поле акустического импеданса газонасыщенных песчаников и глинистых прослоев. Осложняющим фактором в решении данного вопроса является слабая разбуренность изучаемой территории. В результате работы выделены преимущества использования алгоритма, а также подсвечены возможные риски и ограничения метода. Изложенные в статье результаты позволяют повысить эффективность геологоразведочных работ в условиях недостаточного объёма скважинной информации.
The main potential of the oil and gas potential of the north of Western Siberia is associated with the Neocomian clinoform complex. Due to the significant depths of the promising objects, their study by deep drilling remains extremely low to this day. In this connection, the question arises in the development of search criteria for finding traps in this section interval. This is the relevance of the presented work. The article proposes a solution to the described problem using acoustic modeling of sequences of the Neocomian complex on the example of a typical section of the north of Western Siberia. The basis for the application of this technique is the separation of gas-saturated sandstones and clay interlayers in the field of acoustic impedance. A complicating factor in solving this issue is the weak drilling of the studied territory. As a result of the work, the advantages of using the algorithm are highlighted, as well as the possible risks and limitations of the method are highlighted. The results presented in the article make it possible to increase the efficiency of geological exploration in conditions of a shortage of well information.
It’s a Fine Line between Sadism and Horror
Authors: Woodcock Scott 
Published: January 2025

Much has been written about the puzzling aesthetic appeal of horror films that include scenes of brutal, graphic violence. More recently, however, some philosophers have proposed that viewing certain horror films as a source of entertainment is morally problematic because of the impact they might have on our moral psychology. By contrast, Ian Stoner argues that viewing fictional depictions of violence in horror films is not morally problematic because horror films do not present violence in ways that risk damaging the kinds of reactive attitudes required to exhibit a well-functioning moral psychology. In this paper I note some the ways in which Stoner is correct about horror films, yet I argue that he has overstated his case for the permissibility of viewing all instances of horrific violence as entertainment.
NAVIGATING AUDIT COSTS: THE INTERPLAY OF MEKANISME CORPORATE GOVERNANCE, EXECUTIVE COMPENSATION, AUDIT RISK, AND FAIR VALUE
Authors: Rizal Rahmat Mulia , Urumsah Dekar 
Published: January 2025

Objective: The purpose of this study is to critically examine and test the factors that determine audit fees, with a particular focus on the roles of corporate governance mechanisms, executive compensation, audit risk, and the fair value of non-current assets. By analyzing these factors, the study aims to provide deeper insights into the complex drivers of audit pricing and contribute to the ongoing discourse on audit quality and financial transparency.

Theoretical Framework: Agency theory emphasizes the conflicts of interest between principals (investors) and agents (management) arising from information asymmetry, which results in audit fees that confirm the accuracy of financial statements. Additionally, corporate governance mechanisms, executive compensation, audit risk, and fair value influence this dynamic.

Method: This study investigates manufacturing companies in the consumer goods sub-sector listed on the Indonesia Stock Exchange from 2018 to 2022. A purposive sampling method was used to select 42 companies each year, totaling 210 annual reports obtained from the IDX website and the companies' websites.

Results and Discussion: The research findings show that a higher number of independent commissioners, a higher number of audit committees, higher executive compensation, and the use of fair value of non-current assets can increase the cost of an external audit. However, this study has yet to be able to prove that managerial ownership and audit risk can affect audit fees.

Research Implications: This research offers insights for auditors, management, and regulators. Auditors should align fees with audit quality, factoring in business complexity and risk. Reasonable fees reflect management's investment in internal controls, enhancing financial statement credibility. Regulators must ensure fees support high-quality audits to prevent failures.

Originality/Value: This study contributes to the literature by highlighting how corporate governance factors independent commissioners, audit committees, executive compensation, and fair value of non-current assets impact audit fees. It emphasizes their role in enhancing audit quality and offers valuable insights for auditors, management, and regulators in justifying audit fee structures.
Pengujian Parameter Algoritma Genetika dan Feed-Forward Neural Networks pada Permainan Ular Klasik
Authors: BISRY AHMAD , RAMDANI CECEP MUHAMAD SIDIK , YULIYANTI SITI 
Published: January 2025

AbstrakKonfigurasi parameter yang tepat sangat penting untuk memaksimalkan kinerja dari sebuah algoritma. Algoritma genetika dan neural networks memerlukan pemilihan parameter yang sesuai dalam penggunaannya. Pada permainan ular, performa diukur dari score dan efisiensi runtime. Penelitian ini menguji parameter untuk menemukan konfigurasi optimal bagi kedua algoritma. Permainan ular digunakan sebagai model eksperimen karena metrik kinerja yang jelas, seperti score yang didapat dan beberapa rintangan yang ada. Sebanyak 60 eksperimen dilakukan untuk membandingkan jumlah generasi dan populasi, mutation chance, dan jumlah neuron pada hidden layer. Hasil penelitian menunjukkan konfigurasi dengan generasi lebih besar dari populasi adalah yang paling optimal, menghasilkan score setara dengan generasi dan populasi yang sama besar, namun dengan runtime lebih efisien. Mutation chance 0.1% merupakan yang terbaik dibandingkan dengan 0.2% sampai 0.5%. Selain itu, hidden layer dengan 16 neuron lebih efisien dibandingkan 24 neuron, baik dari segi score maupun runtime.Kata kunci: Algoritma genetika, neural networks, Permainan ular klasikAbstract Appropriate parameter configuration is crucial to maximizing algorithm performance. Genetic algorithms and neural networks require careful parameter selection. In the game of Snake, performance is measured by score and runtime efficiency. This research tests parameters to find optimal configurations for both algorithms. Snake serves as an experimental model due to clear performance metrics such as score and various obstacles. Sixty experiments compare generation and population sizes, mutation chances, and neuron counts in hidden layers. Findings indicate that configurations with larger generations than populations are optimal, yielding scores similar to equal-sized generations and populations but with more efficient runtime. A 0.1% mutation chance outperforms rates of 0.2% to 0.5%. A hidden layer with 16 neurons proves more efficient than 24 neurons in both score and runtime aspects.Keywords: Genetic algorithm, neural networks, classic snake game
Sistem Evaluasi Lahan Penentuan Tanaman menggunakan Metode Forward Chaining
Authors: SAFITRI NADIA AYU , ATTHOILLAH EDY , NAJAMUDDIN AHMAD NANDA , FAUZI HILMIY AHMAD , HIKMAH LAILATUL , PRASETYO DAFIT ARI , FITRI ZILVANHISNA EMKA 
Published: January 2025

ABSTRAKSistem Evaluasi Lahan merupakan sistem untuk menilai kesesuaian suatu lahan bagi berbagai jenis tanaman. Kurangnya pengetahuan petani tentang tingkat kesuburan tanah untuk jenis tanaman tertentu menyebabkan kegagalan dalam usaha pertanian mereka. Kandungan unsur NPK (Nitrogen, Phospor, dan Kalium) dalam tanah menentukan tingkat kesuburan lahan. Penelitian ini bertujuan mengembangkan sistem evaluasi lahan menggunakan teknologi pengolahan citra tanah dan metode forward chaining untuk menentukan kesesuaian lahan dan memberikan rekomendasi tanaman. Hasil penelitian menghasilkan tingkat akurasi dalam prediksi nilai kandungan Nitrogen sebesar 96,6%, Phospor sebesar 91,03%, dan Kalium sebesar 94,69% serta memberikan rekomendasi tanaman yang tepat. Sistem evaluasi lahan ini diharapkan dapat membantu petani meningkatkan produktivitas pertanian mereka.Kata kunci: pertanian, unsur hara NPK, pengolahan citra, sistem pakar, forward chaining ABSTRACTA land evaluation system is a system for assessing the suitability of land for different types of crops. The lack of farmers' knowledge about the soil fertility level for certain crops led to failure in their agricultural endeavors. The soil's content of NPK elements (Nitrogen, Phosphorus, and Potassium) determines soil fertility. The research aims to develop an evaluation system of soil using soil image processing technology and forward chaining methods to determine soil suitability and give plant recommendations. The results of the research yield accuracy in the prediction of nitrogen content values of 96.6%, phosphorus of 91.03%, and potassium of 94.69% and give the correct plant recommendation. This land evaluation system is expected to help farmers increase their agricultural productivity.Keywords: agriculture, NPK hara element, image processing, expert system, forward chaining
Klasifikasi Sentimen Pada Buzzer Politik Jelang Pemilu 2024 menggunakan Metode Lexicon-based
Authors: NURHASANAH YOULLIA INDRAWATY , NAUFAL MUHAMMAD THORIQ 
Published: January 2025

ABSTRAKPemilu merupakan sebuah momen dimana masyarakat memiliki peran untuk berpartisipasi dalam pemerintahan. Media sosial, khususnya media sosial X menjadi salah satu yang diminati untuk menyebarkan informasi. Informasi yang tersebar dalam jumlah banyak sangat sulit untuk disaring dengan baik oleh masyarakat. Mempengaruhi opini publik dengan menggunakan kata-kata kasar, memanipulasi informasi, dan membuat konten negatif merupakan peran buzzer politik di dalam media sosial. Sehingga dibutuhkan alat untuk filterisasi sentimen publik yang beredar. Alat yang digunakan adalah analisis sentimen. Penelitian bertujuan untuk melakukan klasifikasi sentimen buzzer politik dalam media sosial X menggunakan model lexicon-based yang ditingkatkan kamusnya sesuai dengan studi kasus yang dilakukan (corpus-based). Dengan menggunakan 1031 data, didapatkan sentimen positif (bukan buzzer) sebesar 63.69%, sentimen negatif (buzzer politik) sebesar 31.94%, dan sentimen netral sebesar 4.37%. Sehingga disimpulkan bahwa model lexicon-based mampu menjelaskan sentimen X.Kata Kunci: Analisis sentimen, Lexicon-based, Buzzer, X, PemiluABSTRACTElection is a moment where people have a role to participate in the government. Social media, especially X social media, is one of the most popular ways to disseminate information. Information that is spread in large quantities is very difficult for the public to filter properly. Influencing public opinion by using harsh words, manipulating information, and creating negative content is the role of political buzzers in social media. So a tool is needed to filter public sentiment that is circulating. The tool used is sentiment analysis. The research aims to classify the sentiment of political buzzers in social media X using a lexicon-based model that is enhanced by the dictionary according to the case study conducted (corpus-based). By using 1031 data, positive sentiment (not buzzer) is 63.69%, negative sentiment (political buzzer) is 31.94%, and neutral sentiment is 4.37%. So it is concluded that the lexicon-based model is able to explain X sentiment.Keywords: Sentimen analyzed, Lexicon-based, Buzzer, X , Election