bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pencegahan Stunting Pada Masyarakat Desa Laban Kecamatan Kangkung Kabupaten Kendal
Authors: Hadi Husnul , Zhannisa Utvi Hinda , Rohmansyah Nur Azis , Wiyanto Agus 
Published: December 2024

Stunting merupakan gangguan pertumbuhan yang sering terjadi pada anak di bawah usia lima tahun, berdampak pada perkembangan fisik mereka. Kondisi ini umumnya disebabkan oleh malnutrisi pada ibu selama kehamilan atau kurangnya asupan gizi pada anak selama masa tumbuh kembang. Di Desa Laban, salah satu tanda stunting yang paling sering diamati adalah tinggi badan anak yang lebih pendek dibandingkan dengan teman sebaya mereka. Meskipun tinggi badan anak dipengaruhi oleh berbagai faktor, stunting mencerminkan keterlambatan pertumbuhan yang membutuhkan perhatian serius. Beberapa langkah untuk mengatasi masalah stunting meliputi pemenuhan kebutuhan gizi sejak masa awal kehamilan hingga anak berusia dua tahun, pemberian ASI eksklusif hingga usia enam bulan, serta memastikan anak mendapatkan imunisasi secara lengkap. Untuk mencegah stunting, tim pengabdi telah melaksanakan penyuluhan kepada masyarakat Desa Laban. Kegiatan penyuluhan, penyuluhan dilakukan melalui pendekatan kelompok sasaran ibu hamil, ibu menyusui, dan masyarakat lainnya dengan materi tentang penyebab, dampak, dan pencegahan stunting. Berdasarkan hasil survei akhir yang dilakukan, didapat hasil pemahaman pencegahan stunting pada masyarakat sebagai berikut; 10% berada pada kategori rendah, 30% pada kategori sedang, 60% pada kategori baik.
The Development of Mathematics Textbooks Based on the Integration of Science and the Qur'an in Madrasah Aliyah
Authors: Lailaturrosidah Azah , Harini Sri , Susanti Elly 
Published: December 2024

This research focuses on the need for mathematics textbooks that not only meet national curriculum standards but also integrate important spiritual and religious values at Madrasah Aliyah Darut Taqwa Sengonagung Pasuruan. The purpose of this study is to understand the current condition of the use of textbooks in learning mathematics in grade X Madrasah Aliyah, develop textbooks that integrate Qur'anic science in mathematics learning, evaluate the effectiveness of the developed textbooks in improving students' understanding of mathematical concepts and Qur'anic values, and get students' and teachers' responses to the use of these textbooks. The research method used is Research and Development (R&D) with the ADDIE approach (Analysis, Design, Development, Implementation, and Evaluation). The results showed the mathematics textbook at Madrasah Aliyah Darut Taqwa Pasuruan currently lacks integration of spiritual and religious values despite students' strong religious background. This study aims to address this by integrating mathematical concepts with scientific knowledge and Qur'anic values. The textbook features a detailed analysis of student needs, with carefully designed structure and content, and includes evaluation tools such as tests and quizzes. Validated by experts in mathematics, science, and the Qur'an, the textbook meets high standards of validity in content, language, and educational media. Its implementation in the tenth grade has successfully improved students' interest, participation, and interaction in learning. Evaluation results show a high validity across all aspects, with an N-Gain score of 0.43 from field testing, indicating a positive impact on student interest and academic performance.
Aplicação do algoritmo k-Nearest Neighbors (k-NN) para previsão de índices em mercados financeiros
Authors: Avelar Ewerton Alex , Fonseca Simone Evangelista , Souza Antônio Artur de , Duarte Luís Henrique Marques , Gonçalves Vanderson Ribeiro 
Published: December 2024

Esta pesquisa analisa se os preços históricos de negociação dos principais índices das maiores bolsas de valores do mundo explicam o retorno futuro dos ativos, por meio da aplicação do algoritmo de Aprendizado de Máquina (Machine Learning – ML) K-Nearest Neighbors (k-NN). Para tal, utilizou-se uma amostra composta pelas cotações diárias de 37 índices de tais bolsas no período de 2001 a 2019. Os modelos foram estimados por índice, conforme os preços de fechamento e de máximo, assim como o período completo e a divisão em subperíodos, cujos resultados se apresentaram superiores aos do desempenho médio do mercado. Com base na cotação máxima dos índices, os modelos obtiveram desempenho superior aos dos preços de fechamento, e os de subperíodos conseguiram melhores desempenhos. A eficiência dos mercados sob a forma fraca foi questionada no contexto contemporâneo de forte ascensão de algoritmos de ML para a previsão em finanças. Nesse contexto, os principais índices das maiores bolsas de valores do mundo foram analisados, com a obtenção de subsídios gerais que podem auxiliar na orientação de pesquisas futuras na área, em que o tema é relevante devido a contribuições sobre o uso de algoritmos de ML na previsão de preços de ativos de investimento.
Palavras-chave: k-Nearest Neighbors. Machine Learning. Previsão de Preços. Hipótese de Mercados Eficientes. Bolsa de Valores.

APPLICATION OF THE ALGORITM K-NEAREST NEIGHBORS (K-NN) FOR FORECASTING INDEXES IN FINANCIAL MARKETS
ABSTRACT
This research analyzes whether the historical trading prices of the main indexes of the largest stock exchanges in the world explain the future return of assets, through the application of Machine Learning (ML) algorithm K-Nearest Neighbors (k-NN). To this end, a sample composed of the daily quotations of 37 indexes of such exchanges in the period from 2001 to 2019 was used. The models were estimated by index, according to the closing and maximum prices, as well as the full period and the division into subperiods, whose results were superior to the average market performance. Based on the maximum quotation of the indexes, the models obtained superior performance than the closing prices, and those ones of subperiods achieved better performance. The efficiency of markets in the weak form has been questioned in the contemporary context of strong rise of ML algorithms for forecasting in finance. In this context, the main indexes of the largest stock exchanges in the world were analyzed, obtaining general subsidies that can help guide future research in the area, in which the topic is relevant due to contributions on the use of ML algorithms in predicting the prices of investment assets.
Keywords: k-Nearest Neighbors. Machine Learning. Price Forecasting. Efficiency Market Hypothesis. Stock Exchanges.
Konflik Antar Etnik-Agama Dan Pembangunan Perdamaian Di Lombok: Sebuah Eksplorasi Everyday Peace Di Lombok Utara
Authors: Anam Syaiful , Handayani Nilam , Khairurrizki Khairurrizki 
Published: December 2024

This article explores the concept of "Everyday Peace" in North Lombok, Indonesia, focusing on how this diverse region maintains ethno-religious harmony. Drawing upon Roger Mac Ginty's concept of "everyday peace," the study highlights the crucial role of local actors, rather than international interventions, in peacebuilding through daily routines, norms, and community interactions. North Lombok, despite its religious and ethnic diversity, has successfully avoided conflicts often seen in other parts of Lombok. Key factors contributing to this peace include the acceptance of differences, freedom of worship, and connectivity through interfaith collaboration. The article illustrates how local communities, youth groups, traditional leaders, and the government work together to promote tolerance, with religious festivals and community events serving as platforms for peaceful coexistence. Employing an explanatory research method, the study investigates the cause-and-effect relationships within this social phenomenon, elucidating the observed dynamics by illustrating the positions and relationships between variables based on factual field observations. This approach goes beyond mere description, providing evidence for various possible explanations within the phenomenon. Primary data collection involves direct engagement in the field through observation, interviews, and questionnaires, while secondary data is sourced from reputable books, journals, and websites relevant to the research topic. The study concludes that everyday peace, rooted in local traditions and mutual respect, is a viable model for managing diversity and preventing conflict in multicultural societies. This approach, integrating local values and international frameworks, offers valuable insights for peacebuilding in other heterogeneous regions.
Development of an Approach to Analysing Regional Road Traffic Accident Rates
Authors: Evtyukov S. A. , Zeinalov F. N. , Mitroshin D. V. , Novikov A. N. , Shevtsova A. G. 
Published: December 2024

The article examines the state of road traffic safety (RTS) in the Russian Federation for the 2012-2022 long-term period. The study has identified the main directions in the considered area, described the results of the on-going Safe High-Quality Roads national project, as well as analysed current federal projects, namely, the target indicators of the Road Traffic Safety federal project and the promising ways to achieve them.To analyse regional road traffic accident rates, a necessity has been revealed to develop an approach based on a Big Data tool for processing large amounts of primary data. It has been also revealed that the available data presented in publicly available statistical databases do not allow us to fully assess the causes that result in road traffic accidents (RTA). Despite this, considering the available resources, namely the data presented in analytical information systems on the balance sheet of departmental organisations, it is possible to assess the RTA rate for an entire region, considering, rates of RTAs without casualties, which are determined by a significantly larger volume of data. In this case, it is possible to carry out detailed specification of the causes and conditions of accidents, which allows for implementation of an integrated approach in the considered area.In this regard, the main objective of the study is to develop an approach to analysing RTA rates in a region. The main methods for achieving this objective are mathematical and statistical analysis. Public databases, as well as the resources of a specialised automated information management system (AIMS), were used as research materials. The research has resulted in proposing an intelligent method of data analysis, which will subsequently make it possible to more effectively make decisions to increase road traffic safety, including through implementation of control and supervisory activity of the relevant authorities.
Study of the Relationship Between the Predictive Abilities of Student Air Traffic Controllers and Their Behaviour in a Conflict
Authors: Erkhova M. V. , Zobov P. V. 
Published: December 2024

The objective of the research is to study the relationship between the predictive abilities of student air traffic controllers and their behaviour in a conflict. These personal characteristics were chosen due to their high professional significance in the field of air traffic control. The article substantiates the relevance of studying the relationship between the intellectual and communication abilities of air traffic controllers, the need to develop these abilities when obtaining higher professional education.The results identify the relationship between the manifestation of the basic properties of thinking of air traffic controllers, characterising their ability to predict the situation, and the strategies of their behaviour in a conflict. The main research methods included theoretical analysis of literature, generalisation, testing, analysis, and statistical methods.The provided study involved 64 second-year students at Ulyanovsk Civil Aviation Institute, studying within the speciality profile «Air Traffic Control».Testing using the Thomas-Kilmann instrument (adapted by N.V. Grishina), aimed at identifying the behaviour strategies of respondents in a conflict situation, as well as testing using the «Forecasting Ability» testing method developed by L. A. Regush were used as empirical research methods. The diagnostics allowed to measure the following properties of thinking characterising the prognostic abilities of students: analytical thinking, consciousness, flexibility, perspective and evidence-based thinking.Analysis of the test results allowed building a diagram of the group average manifestation of five main strategies of behaviour of respondents in a conflict, as well as a diagram of manifestation of five main components (according to L. A. Regush) of the predictive abilities of student air traffic controllers and considering the relationship between them. The analysis of the results obtained was carried out from the point of view of the requirements regarding the future occupation of the respondents.To determine the degree of consistency of the series of values of behaviour strategies in conflict and the properties of predictive thinking in the group of respondents, the Pearson correlation coefficient (Pearson R) was used as a method of statistical data analysis.
Unification of Terms of Maintenance and Repair of Passenger Railway Cars and Their Elements as the Main Part of Implementation of the Operational Stage of the Life Cycle Contract
Authors: Shinkaruk A. S. 
Published: December 2024

The article is devoted to consideration of issues of analysis of units and parts used in newly built rolling stock, their systematisation and formation of an accounting algorithm, as well as to the issues of their replacement with determination of problematic aspects and ways to level them. The service life of main elements and units used in passenger rolling stock has been studied, allowing to determine the terms of their periodic replacement, maintenance and repair, and to propose an algorithm for their control.The study refers to the issues of replacement or maintenance of individual units, parts and elements of passenger cars with reference to the period of scheduled preventive maintenance, as well as to the need to consolidate individual requirements at the stage of designing the rolling stock and its elements in the regulatory and legal field to improve the efficiency of using rolling stock at the operational stage of its life cycle and minimise the transfer of rolling stock to the non-working fleet withdrawing it from transportation activity.The studies of the regulatory documentation supplied during manufacture of a car are followed by the analysis and systematisation of the service life of the car itself, as well as of its main units and assemblies.This study is intended to improve the efficiency of rolling stock operation, systematise and, in some cases, establish requirements for the service life of individual units, mechanisms and elements in manufacture and design of passenger cars, simplify and optimise assessment of the life cycle cost of a car, synchronise the stages of the life cycle of individual elements of the rolling stock with the life cycle (cyclic replacement) of units and parts used in the rolling stock.
Validation of the Frequency Scale for the Symptoms of GERD (FSSG) questionnaire for Ukrainian-speaking population in Vinnytsia region
Authors: Paliy I. G. , Zaika S. V. , Ksenchyna K. V. , Chernova I. V. 
Published: December 2024

Gastroesophageal reflux disease (GERD) is one of the most common pathologies of the digestive system. The main complaint is heartburn. The prevalence of gastroesophageal reflux disease is expected to remain high and even increase.
Objective — to translate and adapt the Frequency Scale for the Symptoms of GERD (FSSG) questionnaire into Ukrainian and validate its use among the Ukrainian‑speaking population in Vinnytsia region as a screening tool for gastroesophageal reflux disease.
Materials and methods. The process of cross‑cultural adaptation of the English version was carried out in accordance with the recommendations of the International Society for Pharmacoeconomics and Outcomes Research. We interviewed 42 people with complaints of diseases of the digestive system using the FSSG and Gastrointestinal Sуmptom Rating Scale (GSRS) questionnaires. The comprehensibility and complexity of the Ukrainian‑language version of the FSSG was evaluated on a 4‑point Likert scale, reliability — by the test‑retest method with an interval of three days, validity — by comparing the results of the questionnaires.
Results. Comparing the results of the FSSG and GSRS questionnaires, a statistically significant correlation of moderate strength was found between FSSG reflux symptom scores and GSRS reflux syndrome scores (0.59; 95% CI: 0.35 to 0.76) and between total FSSG score and GSRS dyspeptic syndrome score (0.5; 95% CI: 0.23 to 0.69). The comprehensibility and complexity index corresponds to 1.0. Reliability was assessed using the test‑retest method with an interval of 3 days, the intraclass correlation coefficient between the results was 0.81 (95% CI: from 0.68 to 0.89). According to the results of the internal consistency analysis of the FSSG questionnaire, the Cronbach’s alpha coefficient was 0.7 at an acceptable level >0.7. Although the questionnaire does not provide definitive information to verify the diagnosis, this method is widely used in modern medical practice to identify groups of patients with typical and atypical symptoms that are subject to further examination.
Conclusions. The FSSG is a screening method for gastroesophageal reflux disease in patients with symptoms typical of the upper gastrointestinal tract that has demonstrated reliability and validity.
The role of Controlling Nutritional Status (CONUT) score in predicting survival in liver cirrhosis patients
Authors: Motsiuk V. M. , Odnorih Y. O. , Odnorih Y. O. 
Published: December 2024

Malnutrition is a common novel complication of liver cirrhosis (LC) often found in both decompensated and compensated patients. An altered nutritional state is associated with an unfavourable disease course. The optimal diagnostic tool for malnutrition in LC patients is still not determined. The Controlling Nutritional Status (CONUT) score reliably detects malnutrition and predicts clinical outcomes in cancer patients. The predictive value of the CONUT score in LC patients is unknown.
Objective — to assess the CONUT score’s predictive value for the long‑term survival of LC patients.
Materials and methods. 161 LC patients were involved in the prospective study. 23 patients had LC of Child‑Turcotte‑Pugh (CTP) class A, 57 patients had LC of class B, and 81 patients had LC of class C. To assess the nutritional status, the CONUT scale was used, which takes into account the degree of decrease in the level of albumin, total cholesterol and lymphocytes in the blood. The follow‑up median was 489 (interquartile range: 293—639) days. During this time 50 patients died from liver‑related complications.
Results. According to the CONUT score, 14.9% of LC patients had normal nutritional state, 29.2% — mild, 46.6% — moderate, and 9.32% — severe malnutrition state. The rate of overt ascites, hydrothorax, and hepatic encephalopathy in patients with moderate and severe malnutrition at baseline was significantly higher than in patients with normal nutritional state. Kaplan‑Meier analysis demonstrated that patients with moderate and severe malnutrition according to the CONUT score had worse long‑term survival than patients with mild malnutrition and normal nutritional state (Log‑rank p <0.01). In multivariate regression analysis, only hypoalbuminemia (hazard ratio (HR) — 2.27, p=0.018), hepatic encephalopathy (HR 2.28, p=0.031), and moderate to severe malnutrition (HR 3.69, p=0.003) had an independent impact on LC patients’ mortality.
Conclusions. The CONUT score is a reliable and easy‑to‑calculate tool for predicting the long‑term survival of LC patients. Early detection of malnutrition and targeted interventions might improve survival in patients with LC.
Causes of late diagnosis of Wilson’s disease. Clinical case
Authors: Zhdan V. M. , Kyrian O. A. , Babanina M. Y. , Ivanytskyi I. V. , Kitura Y. M. , Volchenko H. V. , Tkachenko M. V. , Lebid V. H. 
Published: December 2024

The article discusses a clinical case of Wilson’s disease, a rare genetic disease characterized by impaired copper metabolism and its accumulation in various organs, particularly in the liver and brain. The complexity of the diagnostic search is described, taking into account the non‑specific symptoms that require a long and versatile diagnostic search at the onset of the disease. The complexity of the diagnosis after clinical manifestation was caused by the absence of damage to the nervous system, typical ophthalmological signs, such as Kaiser‑Fleischer rings, and changes in laboratory tests (content of «free» copper, ceruloplasmin, and copper in daily urine). The diagnostic significance of laboratory indicators of copper metabolism in blood and urine has been proven when Wilson’s disease is excluded in a patient with liver cirrhosis, even in the absence of damage to other target organs that are pathologically affected by copper.
Special attention is paid to clinical manifestations, methods of laboratory and instrumental examination, as well as the importance of an interdisciplinary approach to diagnosis. This case emphasizes the importance of timely diagnosis to prevent serious complications and improve the patient’s prognosis. In addition, the problems arising from the late diagnosis of Wilson’s disease, such as the development of irreversible liver damage (cirrhosis) and neurological disorders, which can significantly impair the quality of life of patients, are considered. The role of genetic testing to confirm the diagnosis is emphasized, especially in cases where the clinical picture is ambiguous or there are concomitant diseases complicating the diagnostic process.
The authors call for increased awareness among doctors about Wilson’s disease, given its rarity and the difficulty of recognizing it in the early stages. Long‑term follow‑up of patients and correction of therapy in case of changes in the clinical condition are important. Recommendations for improving diagnostic algorithms and an interdisciplinary approach in the treatment of patients with Wilson’s disease are given.
Long-term use of subcutaneous octreotide reduces variceal bleeding in non-cirrhotic portal hypertension
Authors: Chalasani Aashish , Lee Alice Unah 
Published: December 2024

Background: Non-cirrhotic portal hypertension from a portal vein thrombus can cause variceal bleeding. The use of vasoactive agents such as octreotide is currently limited to acute bleeding episodes. Current strategies to reduce recurrent bleeding events include non-selective beta blockers, treatment of underlying disease including management of risk factors, and periodic endoscopic therapy. There is limited literature on the use of subcutaneous octreotide in the long-term management of recurrent variceal bleeding. Case: We present a 55-year-old male with progressive non-cirrhotic portal hypertension on the basis of a portal vein thrombus with extensive thrombosis leading to significant portal hypertension and episodic acute variceal bleeding over the course of 15 years. Progression of varices throughout the gastrointestinal tract led to more severe bleeding with requirement for massive transfusion protocols. He was deemed not suitable for shunting procedures or transplantation due to increased bleeding episodes and development of ascites. Results: Following commencement of twice-daily subcutaneous octreotide, no further clinically significant bleeding events occurred. He remains stable more than 3 years on from therapy. Conclusions: This case demonstrates an observed reduction in clinically significant bleeding and red cell transfusion requirements in a non-cirrhotic portal hypertension patient on daily octreotide. Further larger-scale, randomized controlled studies are required to investigate this observation.