bluuebunny/crossref_metadata_2025 huggingface dataset:
LIABILITAS NEGARA ATAS SAMPAH ANTARIKSA OLEH NEGARA PELUNCUR DALAM KEGIATAN KERUANGANGKASAAN BERDASARKAN HUKUM INTERNASIONAL
Authors: Iqbal Firdaus Muhamad , Oktaviani Jusmalia
Published: November 2024

The era of globalization is characterized by the use of space for various human interests. Many countries launch satellites into space, which causes a new problem: increasing amounts of space waste or space debris. Space debris comes in the form of pieces, fragments, or debris that can have a negative impact on the Earth. Subject to applicable law, the launching country is responsible for any losses incurred from the satellite it launched. However, in practice, it is not easy to determine the state's responsibility for space waste. Therefore, this study aims to explain the complexity between the legal framework and the circumstances in the field. The study uses a juridical-normative approach, with logical analysis as well as sociological and philosophical foundations. The types and sources of data used in this study are secondary data. Data is collected primarily through document study techniques (library research and online research) by inventorying secondary data. The study explains that the country's responsibility for the negative effects of space waste will depend on many factors, making it situational. International efforts are needed to anticipate and arrange mutual agreements to prevent space waste from increasing.
Analysis of methods and models of time and human resource management in IT projects
Authors: Borysov Oleksii
Published: November 2024

In modern IT companies, time and human resource management are critical for the
successful execution of projects. Effective time management reduces the risk of delays
and increases team productivity, positively impacting the final result. The aim of the
article is to analyze the standards, methods, and models of time optimization in IT
projects, as well as human resource management in IT companies. The research revealed
that there are several key standards and models for time management in the IT industry.
Among them are Agile methodologies, Scrum, and traditional approaches. Each has its
advantages and disadvantages depending on the project type and its requirements. Several
time optimization methods are considered, such as the Critical Path Method (CPM) and the
Program Evaluation and Review Technique (PERT). These methods are effective in
identifying and managing project time constraints, allowing the identification of
critical tasks and optimization of resource allocation. Regarding human resource
management, the research identified the use of various motivation and team management
models. In particular, Agile HR methods, which include team self-organization, flexible
working schedules, and continuous feedback, contribute to increased motivation and
employee satisfaction, impacting their productivity and work quality. Based on the
research, it can be concluded that effective time and personnel management are essential
components of IT project success. The use of Agile and Scrum methodologies combined with
time optimization methods, such as CPM and PERT, enhances productivity and reduces the
risk of delays. Implementing Agile HR methods for personnel management increases team
motivation and efficiency. The combination of these approaches creates an effective
project and personnel management system capable of adapting to changes and ensuring a
high level of task execution.
Innovative trends in structural-transformational shifts in the management system of
construction stakeholder enterprises
Authors: Omelianenko Maryna , Krychevs’ka Yliia
Published: November 2024

This article explores innovative trends in personnel management within the
construction industry, based on the combination of digital tools, economic-mathematical
models, and flexible approaches to work organization. These trends contribute to
improving the efficiency of human resource management under structural-transformational
shifts, providing a competitive advantage to construction stakeholder enterprises. The
article specifies the methods, tools, and procedures for personnel formation and
development in construction. Modern HR management approaches are analyzed, emphasizing
its role in the professional development of personnel. Key tools and technologies used
for assessing and enhancing employee qualifications are considered, including methods
such as 360-degree assessment, coaching, mentoring, as well as competency and career
development models. Special attention is paid to the impact of HR management on employee
motivation, productivity, and loyalty to the organization. The potential of digital
technologies and innovative approaches that enable more effective implementation of
personnel development programs is highlighted. The results confirm that integrating HR
management into the overall business strategy is a key condition for improving
organizational performance and ensuring its competitive advantage in the market. The
article also examines dynamic trends in the demand for managerial personnel and the
development of functional training systems for management staff at both international
and national levels, with a special focus on construction enterprises. Key challenges
related to the growing demand for highly qualified managers in the context of
digitalization and innovative changes in construction are discussed. Approaches to
forming talent pools, implementing modern training programs, and digital technologies
for enhancing managerial qualifications are analyzed. The article concludes by stressing
the need to integrate advanced HR management practices and develop strategies to adapt
training systems to meet the increasing demands for managerial competencies in the
construction sector.
Integration of machine learning and deep learning methods for sunflower yield
prediction
Authors: Hnatiienko Vladyslav , Hnatiienko Hryhorii
Published: November 2024

Practical experience in yield forecasting demonstrates that it is a complex
multifactorial task requiring precise and reliable methods for resolution. The use of
machine learning and deep learning is crucial for achieving better results in digital
agronomy. This paper is dedicated to the development of an intelligent system for
sunflower yield forecasting. Based on the analysis of scientific publications and
practical experience, the main issues of data processing are summarized, and schemes for
their resolution are proposed. The main stages of the work included the study of the
current state of digital agronomy, the selection of an approach, the development of a
data processing method, the software implementation of the model, and testing. The key
challenges were the limited data sets and the complexity of choosing the optimal
approach to avoid overfitting. Combining different analysis methods allowed the creation
of a powerful system that surpasses traditional approaches, though it requires more data
for training. The study's conclusions show that machine learning and deep learning
methods, such as LightGBM and U-Net, along with the proposed data processing methods,
achieve high accuracy in forecasting. The model demonstrated the ability to generalize
knowledge to new fields and to build detailed yield maps. Further research includes the
development of a method for generating combinations of plant care options, the
adaptation of computer vision methods with optimized algorithms to reduce computational
complexity, and the expansion of the system's functionality to include cybersecurity
aspects. The proposed system significantly enhances the efficiency of sunflower yield
forecasting, contributing to the development of digital agronomy.
The integration of Agile methodologies in urban transformation projects
Authors: Yehorchenkova Nataliia , Yehorchenkov Oleksii
Published: November 2024

In recent years, Agile methodologies have emerged as promising frameworks for
managing complex projects, with applications extending beyond software development into
various domains. This article delves into the intersection of Agile methodologies and
urban transformation projects, where the dynamic and multifaceted nature of urban
development presents unique challenges. By breaking down urban projects into iterative
phases, Agile methodologies offer a flexible and adaptive approach that can effectively
address the diverse needs and priorities of stakeholders. Through empirical research and
case studies, this study explores how Agile principles can enhance stakeholder
engagement, facilitate cross-sector collaboration, and promote innovative solutions to
urban challenges. Additionally, the article examines the role of Agile methodologies in
fostering resilience, sustainability, and inclusivity in urban development initiatives.
By synthesizing insights from theory and practice, this article provides a comprehensive
overview of the potential benefits and challenges of applying Agile methodologies in the
context of urban transformation, offering valuable guidance for practitioners,
policymakers, and researchers alike. As cities continue to evolve and face ever-growing
challenges, Agile methodologies present a promising avenue for driving positive change
and creating more resilient, sustainable, and inclusive urban environments.
Google Trends in the Diagnosis of Meteosensitivity
Authors: Yarovaya Ksenia , Hnatiuk Iryna , Solodovnikova Yuliia , Son Anatoliy
Published: November 2024

INTRODUCTION Primary headache disorders, including tension-type headaches (TTH) and migraines, are highly prevalent and pose a significant socio-economic burden. Environmental triggers, such as weather changes, are commonly believed to provoke these headaches.

METHODS This study aims to explore the role of geomagnetic activity as a potential trigger for TTH and migraines. Using Google Trends data, we tracked public interest in the search terms “migraine” and “headache” in Ukraine from 2019 to 2023. We analyzed the Ap index, which measures geomagnetic activity, alongside the search data to explore potential correlations.

RESULTS A total of 261 observations were made. The analysis revealed a negative correlation between the popularity of search queries for “migraine” and “headache” and geomagnetic activity, with increased search interest during periods of low geomagnetic activity. TTH patients were found to be more sensitive to low geomagnetic activity compared to those with migraines, suggesting different pathophysiological mechanisms between these two types of headaches. While the correlation is statistically significant, it remains relatively weak, indicating that geomagnetic fluctuations may contribute to headache triggers but are not the sole factor.

CONCLUSIONS The findings suggest a potential link between geomagnetic activity and the incidence of primary headaches, with TTH being more responsive to these fluctuations than migraines. The study underscores the need for further research into the impact of geomagnetic activity on human health and headache disorders.

WHAT IS ALREADY KNOWN ON THIS TOPIC Primary headache disorders, such as tension-type headaches (TTH) and migraines, are commonly triggered by environmental factors, but the role of geomagnetic activity remains underexplored despite its known effects on human health, like circadian rhythms and blood pressure.

WHAT THIS STUDY ADDS This study identifies a significant negative correlation between low geomagnetic activity and increased public interest in headache-related terms, suggesting that geomagnetic fluctuations may act as environmental triggers for headaches, particularly TTH. It highlights distinct sensitivities between TTH and migraines to geomagnetic changes and demonstrates the utility of Google Trends as a tool for exploring public health patterns related to environmental factors.

HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY This study highlights geomagnetic activity as a potential environmental trigger for primary headaches, encouraging further research into its role and distinct impacts on TTH and migraines. It underscores the utility of tools like Google Trends for public health surveillance, offering insights for healthcare practices and policy development to better address headache prevention.
Diversity in Motion: The Role of Immigrant Human Capital in Danish Second-Tier Towns and Rural Areas
Authors: Javakhishvili-Larsen Nino , Andersen Hans Thor
Published: November 2024

This study explores the impact of diversified human capital (HC) among inter-regional immigrants on local economies in Denmark, using data from 2009 to 2020. It introduces a Regional Entropy Index (REI) model to measure HC diversification, including education, age, socioeconomic status, sector, wage level, and occupation.

Findings show that the effects of diversified HC on wages differ between urban and rural areas. Both benefit from diverse age and wage levels, but the impact of education and occupation diversity varies. Rural areas gain more from diverse age, wage, and occupation levels, while urban areas benefit from diversity in age, wage, and education.

The study highlights significant spillover effects, with stronger impacts on urban and neighbouring areas. Proximity to urban centres enhances the economic benefits of diversified HC immigration, especially in secondary towns, challenging traditional views on regional economic growth and emphasizing the need for tailored policies.
Pelatihan Kewirausahaan Pengurus Organisasi Ikatan Pekerja Sosial Masyarakat (IPSM) DKI Jakarta
Authors: Suryanti Heni , Handayani Dewi Dyah , Putra Wijaksono Guntur
Published: November 2024

Pengabdian kepada masyarakat dengan judul “Pelatihan Kewirausahaan Pengurus Organisasi Ikatan Pekerja Sosial Masyarakat (IPSM) DKI Jakarta”. Kami sebagai dosen yang melakukan pengabdian kepada masyarakat berusaha untuk memberikan tambahan pengetahuan tentang akuntansi dasar bagi pengurus dan anggota dari Organisasi Ikatan Pekerja Sosial Masyarakat (IPSM) DKI Jakarta yang berlokasi di Kantor Dinas Sosial Provinsi DKI Jakarta, Jl. Gunung Sahari II/6 Jakarta Pusat, Daerah Khusus Ibukota Jakarta. Tujuan diadakan pelatihan ini agar pengurus dan angota IPSM DKI Jakarta kedepannya dapat menggunakan dan mengaplikasikan dengan mudah ilmu yang telah diberikan dalam kegiatan organisasi dan tertarik untuk mempelajari lebih lanjut tentang ilmu akuntansi.
Criminal Liability Arising From Medical Staff’s Negligence in Abortion
Authors:   Faculty of Humanities, University of Hazrat.e.Masoumeh, Qom, Iran., Nekounam Vahid Vahid
Published: November 2024

Background and Objectives: Abortion has been accompanied by challenges in various legal systems and religious doctrines, with different countries adopting varying criminal policies regarding it. Regardless of the legal systems’ perspectives on the permissibility of abortion, the issue of criminal and civil liability of medical staff in cases of abortion remains significant. While various provisions have been set forth in the Islamic penal code (IPC) and the law on protection of family and youth in Iran, the concept of negligence has received less attention in this field. The aim of this research was to examine the responsibility of medical staff in cases of neglect that result in abortion.
Methods: The present study was conducted using an analytical-descriptive method and relied on library sources. Additionally, information was gathered through documentary research involving the study of laws and reputable jurisprudential sources.
Results: Based on the research findings, different rulings exist regarding negligence, with possible implications of intentional crime attributed to medical staff in certain cases.
Conclusion: According to the investigations conducted, the legal system in Iran, among others, considers medical staff liable for punishment even in instances of mere negligence. Furthermore, upon meeting certain conditions, such as the presence of a duty and a causal relationship, medical staff will be held responsible for negligence resulting in abortion.
Comparing the Effects of Islamic Spiritual Therapy and Stress Inoculation Training on Distress Tolerance and Anxiety of Patients With Stomach Cancer
Authors:   Department of Psychology, Faculty of Humanities, Urmia Branch, Islamic Azad University, Urmia, Iran., Mohammadzadeh Nanekaran Zohre , Shaker Dolaq Ali Ali ,   Department of Psychology, Faculty of Humanities, Urmia Branch, Islamic Azad University, Urmia, Iran., Khademi Ali ,   Department of Psychology, Faculty of Humanities, Urmia Branch, Islamic Azad University, Urmia, Iran., Shaygannejad Alireza ,   Department of Psychology, Faculty of Humanities, Urmia Branch, Islamic Azad University, Urmia, Iran.
Published: November 2024

Background and Objectives: This study was conducted to assess the effects of Islamic spiritual therapy compared to cognitive-behavioral therapy based on stress inoculation training (SIT) on distress tolerance and anxiety sensitivity in patients with stomach cancer.
Methods: This research was a quasi-experimental study based on a pre-test and post-test design with a control group. The research population included patients with stomach cancer in Ardabil City, Iran in 2021. Sixty individuals were selected through convenience sampling and randomly divided into three groups (two experimental groups and one control group). The measurement tools were Simon and Gaher's distress tolerance scale and the Anxiety sensitivity index by Floyd et al., which were administered to all three groups before the group intervention and at the end of the tenth session. The first experimental group was exposed to Islamic spiritual therapy, the second test group received SIT and the control group did not receive any psychological treatment. Covariance analysis was used to analyze the data.
Results: The results of multivariate covariance analysis showed that the Islamic spirituality therapy and SIT had a significant effect on distress tolerance and anxiety sensitivity compared to the control group. However, Islamic spiritual therapy was more effective in improving distress tolerance (F=445.940) and reducing anxiety sensitivity (F=65.502) compared to the SIT group (P≤0.01).
Conclusion: It appears that the combination of Islamic spiritual therapy with SIT, despite its emphasis on irrational thoughts, is less effective than Islamic spiritual therapy alone in reducing negative thoughts.
Improving Heart Disease Risk Assessment with Advanced Deep Learning and Federated Learning
Authors: A. Vijaya Simha  , S K Sathya Hari Prasad
Published: November 2024

Since heart disease is still one of the world's top causes of death, prompt therapies depend on precise risk prediction. This study investigates how to improve heart disease risk assessment by combining federated learning and advanced deep learning. For feature extraction and prediction, we suggest a novel architecture that makes use of deep neural networks, and federated learning allows distributed datasets to be securely collaborated on without sacrificing privacy. The potential of this strategy in developing scalable, privacy-preserving systems for individualized healthcare is shown by experimental results that show increased accuracy and generalization over conventional models. Our research paves the way for more accurate and comprehensive heart disease risk assessment.
AI-Driven Predictive Maintenance in Data Infrastructure: A Multi-Modal Framework for Enhanced System Reliability
Authors: Madhukar Dharavath
Published: November 2024

This article presents a comprehensive framework for implementing artificial intelligence-driven predictive maintenance in modern data infrastructure environments. While traditional maintenance approaches have relied on reactive or scheduled interventions, the proposed framework leverages multiple AI technologies, including machine learning, natural language processing, and reinforcement learning, to create a proactive maintenance ecosystem. The methodology integrates diverse data streams from infrastructure components, including sensor data, system logs, and historical maintenance records, to predict potential failures and optimize maintenance schedules. The approach combines time series analysis for trend identification, natural language processing for unstructured data analysis, and reinforcement learning for dynamic schedule optimization. Implementation across multiple case studies, including cloud service providers and manufacturing environments, demonstrates significant improvements in system reliability, reduction in unplanned downtime, and optimization of maintenance resource allocation. The results indicate that AI-driven predictive maintenance substantially outperforms traditional approaches in both accuracy and cost-effectiveness. This article contributes to the growing field of intelligent infrastructure management and provides practical guidelines for organizations seeking to enhance their data infrastructure reliability through advanced predictive maintenance strategies.
Blockchain Technology as a Security Enhancement Framework for Internet of Things: A Comprehensive Analysis
Authors: Gokul Balaguruswamy Naidu
Published: November 2024

The exponential growth of Internet of Things (IoT) devices has introduced significant security challenges that traditional cybersecurity measures struggle to address effectively. This research presents a comprehensive analysis of blockchain technology's integration with IoT systems as a solution to enhance security, privacy, and trust in connected device ecosystems. Through systematic evaluation of implementation architectures, security frameworks, and real-world applications, this study demonstrates how blockchain's inherent characteristics of decentralization, immutability, and cryptographic security can effectively address critical IoT vulnerabilities. The research examines specific applications across supply chain management, healthcare systems, and smart city infrastructure, providing quantitative and qualitative evidence of security improvements. While acknowledging challenges in scalability, energy consumption, and regulatory compliance, the study presents innovative solutions and future directions, including AI integration and privacy-enhancing technologies. The findings indicate that blockchain-IoT integration significantly improves data integrity, device authentication, and access control mechanisms, reducing security incidents by up to 60% in implemented cases. This research contributes to the growing body of knowledge on secure IoT architectures and provides practical insights for organizations considering blockchain implementation in their IoT security frameworks.
Cloud and IoT Technologies Revolutionizing Precision Agriculture
Authors: Anand Kumar Vedantham
Published: November 2024

Integrating Cloud Computing and Internet of Things (IoT) technologies is revolutionizing the agricultural sector by enabling precision farming practices and data-driven decision-making. This comprehensive article explores the transformation of traditional farming through smart agriculture technologies, examining the technological infrastructure, key applications, and measurable benefits. The article discusses how IoT sensor networks, cloud-based analytics, and automated systems enhance resource optimization, environmental sustainability, and operational efficiency. The article demonstrates that these technological implementations significantly impact water conservation, crop health monitoring, field mapping, equipment management, and environmental protection while delivering substantial economic benefits through improved yields and reduced operational costs. The article provides insights into the current state of smart agriculture adoption and its implications for future farming practices.
The Liquid Biopsy: A Detailed Review of Evolution, Technologies and Clinical Implications
Authors: Karra Geetha  , Gottimukkala Rakshitha  , Golusula Yuvaraj  , T. Rama Rao
Published: November 2024

Liquid biopsy has transformed molecular diagnostics by providing a non-invasive method for disease identification and monitoring, notably in cancer. This study examines the history of liquid biopsy, with an emphasis on the critical role of circulating tumor DNA (ctDNA) and the move from targeted to genome-wide analysis. It emphasizes the value of liquid biopsy in non-invasive diagnosis, patient comfort, real-time monitoring, and individualized treatment solutions. Success stories in early cancer identification across several cancer types highlight the efficiency of liquid biopsy in detecting particular genetic alterations associated with early-stage illness. The paper also examines the use of liquid biopsy for tracking treatment response and finding minimum residual disease, underlining its potential to revolutionize therapy assessment and post-treatment care. However, consistency issues, such as heterogeneity in sample collection, storage, and processing, as well as variations among cancer types, represent substantial barriers to the widespread use of liquid biopsy. Efforts to solve these problems through collaborative projects and standardization ideas are presented, with a focus on data sharing and the advancement of innovative liquid biopsy technologies. Overall, this review gives a thorough overview of liquid biopsy achievements and limitations, emphasizing its promise as a foundation for current diagnostic techniques.
Study On Uniformity of Pure Iodine with Concentration 370 Mg/Ml in Dual Energy Computed Tomography Images
Authors: Muhammad F. Fauzan  , Choriul Anam  , Heri Sutanto  , Ilham Alkian  , Adiwasono M. B. Setiawan
Published: November 2024

Objective: To analyze a uniformity of pure iodine concentration (with concentration of 370 mg/ml) in dual energy computed tomography (DECT) images. Method: To perform this study, an in-house phantom was used. The phantom has a diameter of 16 cm, a length of 5 cm, and has 5 holes with a diameter of 1.5 cm. Iodine with concentration of 370 mg/ml were positioned at each hole of the phantom. The phantom was scanned using the GE Revolution Apex (ultrafast kV switching type DECT) with voltages of 80/140 kV. The image was reconstructed and displayed as the Iodine material density (MD) map using the Gamestrone Spectral Imaging (GSI Viewer) application. To obtain the uniformity, regions of interest (ROIs) were located at the center and edges at 3, 6, 9, and 12 o'clock. Results: The measured concentration is lower than set concentration of 370 mg/ml. It was found that average measured iodine concentrations are 277.8, 311.2, 287.5, 312.6, and 303.1 mg/ml at the center and at 3, 6, 9, and 12 o’clock, respectively. The maximum value of the measured iodine concentration is at 9 o’clock, and the minimum value of the measured iodine concentration is at center position. Hence, the iodine uniformity was less than 37 mg/ml. Conclusion: Measurement of iodine uniformity on DECT images was carried out. Uniformity is below 10% of the iodine concentration value.
CSUPASZ LEJTŐK KARRJAINAK VIZSGÁLATA
Authors: Veress Márton , Szunyogh Gábor , Péntek Kálmán , Mitre Zoltán , Zentai Zoltán , Deák György , Tóth Gábor , Széles Gyula
Published: November 2024

This study deals with the karren formation of bare surfaces. The used methods are theoretical calculations, field mapping, laboratory experiments, and digital modelling.  The denudation rate of karren surfaces on bare slopes and based on the data of measurements, the denudation rate of karren in different vegetation belts were given. Mostly, the development of rinnenkarren and meanderkarren was analysed. A function relation was determined between the density of rinnenkarren types and the slope angle. The effect of the main channel and tributary channels on each other was studied by computer modelling. The impact of the wind on the development of karren and the conditions for the development of tropical karren was also investigated.
TÁJFÖLDRAJZI KUTATÁSOK A BÜKKALJÁN
Authors: Elekes Tibor , Hegedűs András , Hevesi Attila , Kocsis Károly , Pecsmány Péter , Siskáné Szilasi Beáta , Szalontai Lajos , Vágó János
Published: November 2024

The „common denominator” of the diverse research topics and areas at the Institute of Geography and Geoinformatics at the University of Miskolc is the Bükkalja, where the majority of our colleagues have already conducted observations during their varying professional careers. Therefore, it is only natural that in our study, prepared in honour of Dénes Lóczy, we present our main research directions in physical, social and economic geography.
The Effectiveness of Transcultural Nursing Model to Improve Malaria Childcare
Authors: Payasan Lalu Guntur , Situmeang Lamria , Sulistiyani Sulistiyani , Mebri Elizabeth
Published: November 2024

Malaria is endemic to Papua due to various factors, rendering its eradication a continual challenge. Nurses, as healthcare practitioners engaged in malaria management, frequently encounter clinical and sociocultural challenges. Consequently, transcultural nursing has emerged as an effective approach to improve pediatric malaria treatment. This study seeks to assess the efficacy of the transcultural nursing model in enhancing malaria care for children provided by their families. This quasi-experimental design used two groups: a control group and an intervention group, each comprising 50 participants. Data analysis utilized t-tests and a general linear model to evaluate the efficacy of the transcultural nursing model among groups subjected to three interventions over time The findings indicated notable disparities in child malaria care practices between the control and intervention groups, as demonstrated by both the t-test and general linear model analyses. This research concludes the transcultural nursing model can effectively address cultural barriers in the provision of nursing care for malaria.
Earthquake Disaster Simulation on Increasing Knowledge and Preparedness Attitudes of Elementary School Students in Padang City
Authors: Putri Salsabil Syah , Tasman Tasman , Suryarinilsih Yosi , Rachmadanur N. , Metti Elvia
Published: November 2024

The earthquake in West Sumatra in 2009 caused 1,195 people to die, where the majority of victims were the elderly and children. The factor that causes the large number of fatalities during earthquake disasters is the lack of knowledge and attitudes of the community and children regarding earthquake disaster management preparedness. This research aims to determine the effect of earthquake simulation on increasing knowledge and attitudes about earthquake disaster preparedness among elementary school students in Padang City. The research method uses Quasi-experimental with One Group Pre test and Post design, the research location is Lubuk Lintah State Elementary School 21. The population is 80 grade 5 elementary school students with 44 samples taken by proportionate random sampling. The data collection technique uses a questionnaire. The earthquake disaster simulation educational intervention was carried out twice in one meeting for 2x120 minutes. Data analysis used the Paired T-dependent test. The research results showed that there was an effect of increasing knowledge and attitudes before and after being given an earthquake simulation to elementary school students with P-value = 0.000. The research conclusions show that earthquake simulations can be used to increase knowledge and attitudes about earthquake disaster preparedness among elementary school students. If earthquake simulation is used as an activity program in schools, it can make students resilient to disasters.
Analysis of Factors That Influence Bullying Behavior in Adolescents in Public Middle School in East Jakarta Region
Authors: Amin Ade Nuriah , Supartini Yupi , Tambunan Eviana Sumarti , Sulastri Titi , Ningsih Ratna , Hapsari Dina Carolina
Published: November 2024

Bullying is intentional aggressive behavior by a stronger individual or group of peers against a weaker individual or group of peers, whether physically, verbally, or psychologically. This behavior occurs repeatedly and has a negative impact on the victim. The discussion in this research that will be examined are the factors that influence bullying behavior, including: age, gender, parents' educational background, parents' parenting patterns, and peer factors. This research was conducted to determine the factors that influence bullying behavior among teenagers at State Middle Schools in the East Jakarta Region. This type of research is quantitative correlation research with a cross sectional approach and the sampling technique in the research was carried out using non-random sampling with a purposive sampling technique. The sample size in this study was 115 respondents and was analyzed using the chi square test for bivariate and univariate analysis. Based on the results of the analysis, there is a relationship between parental parenting factors and bullying behavior (p value 0.014), and peer factors (p value 0.006) and bullying behavior. Based on the research results from the data presentation and discussion as described in the previous chapter, the results of this research explain based on the characteristics of the respondents (age, gender, and educational background of parents) which are of particular concern regarding internal factors that can be formed in the family to pay attention to each age stage of their child's development.
EFFECT OF CALCINATION TEMPERATURE ON THE PHASE COMPOSITION AND MAGNETIC PROPERTIES OF THE BOEHMITE WITH ADSORBED FERROCENE
Authors:   Institute of Catalysis and Inorganic Chemistry named after acad. M. Naghiyev, Rustamova A.I. , Muradkhanov R.M. ,   Institute of Catalysis and Inorganic Chemistry named after acad. M. Naghiyev, Osmanova S.N. ,   Institute of Catalysis and Inorganic Chemistry named after acad. M. Naghiyev,   Khazar University, Soloviev S.O. ,   L.V. Pisarzhevskii Institute of Physical Chemistry of the National Academy of Sciences of Ukraine, Ismailov E.H. ,   Institute of Catalysis and Inorganic Chemistry named after acad. M. Naghiyev
Published: November 2024

The effect of calcination temperature in air of finely dispersed boehmite powders with ferrocene
adsorbed at room temperature from n-hexane solution on X-ray diffraction patterns and EPR spectra of
calcined samples was studied. It has been shown that calcination in air of boehmite samples with adsorbed
ferrocene leads to the decomposition of ferrocene molecules, stabilization of two types of magnetic centers in
the structure of boehmite (at 200 and 400°C) and aluminum oxide (at 600°C) caused by two types of
magnetic centers -Fe3+ ions with g-factor values, equal to 4.3 and 2.0. The signal at g = 4.3 is attributed to
isolated Fe3+ ions in the structure of boehmite and aluminum oxide in a local field of oxygen anions with a
rhombic environment. The signal at g = 2.0 is most likely due to Fe3+ ions bound by dipole interaction for
samples with a low concentration of supported ferrocene (<0.1 wt.%) and superpara/ferromagnetic FeOx
particles for samples of the calcination product of boehmite with a high content (>0.1 wt.%) of ferrocene.
With increasing content of adsorbeded ferrocene, concentrations of Fe3+ ions with g-factor values equal to
4.3 and 2.0 grow disproportionately, and mainly the growth of the concentration of superpara/ferromagnetic
FeOx particles on the oxide surface is observed.
INFLUENCE OF THE COMPOSITION AND STRUCTURE OF HYDROXYLCONTAINING SURFACTANTS ON THE PROCESS OF ELECTROCHEMICAL TIN‒ BISMUTH ALLOY DEPOSITION
Authors:   Research Institute for Physical Chemical Problems of the Belarusian State University, Vrublevskaya O.N. , Vorobyova T.N. ,   Belarusian State University
Published: November 2024

The possibility of electrochemical deposition of tin‒bismuth alloy with an increased tin quota
which is in demand for microassembly in electronics was revealed. Modification of the acid EDTA
electrolyte with hydroxyl-containing surfactants differing in the length of hydrocarbon chain and the number
of hydroxyl groups provided the deposition of Sn–Bi alloys with tin content 36.0–63.0 wt.%. in the presence
of 1,4-butyndiol (BD), and up to 80.0 wt.% using polyvinyl alcohol (PVA-10) or a product of processing a
mixture of alkylphenols with ethylene oxide (OP-10). The reasons for different surfactants action were found.
PVA-10 and OP-10, unlike BD, slow down the diffusion of Bi(III) ions by 3‒4 times. All surfactants
accelerate the diffusion of Sn(II) ions, which is especially noticeable in the case of BD. This effect of BD is
due to its complexation with Sn(II) ions instead of EDTA, as a result of which the diffusion of positively
charged particles to the cathode is accelerated.
SYNTHESIS, CHARACTERIZATION AND ANTIBACTERIAL ACTIVITY OF [1,2,4]TRIAZOLO[4,3-B][1,2,4,5]TETRAZINE DERIVATIVES
Authors:   Department of Chemistry, College of Science, University of Thi-Qar, Hassan Bassam A. , Mekky Athraa H. ,   Department of Chemistry, College of Science, University of Thi-Qar
Published: November 2024

A series of fused heterocyclic compound triazolotetrazine were prepared from the reaction of
equimolar amount of 4-amino-5-phenyl-4H-1,2,4-triazole-3-thiol via cyclization addition reaction with
different aromatic aldehydes in presence of piperidine as catalyst to produce the target [1,2,4]triazolo[4,3-
b][1,2,4,5] tetrazine derivatives. The synthesized compounds were characterized by spectral methods (FT-IR
and 1H-NMR, 13C-NMR and mass). The newly synthesized compounds exhibited an anticancer effect when
these compounds were docked inside the C-Met tyrosine kinase receptor. As shown by their docking scores,
they range from -5.599 to -4.403 Kcal/mol, whereas Crizotinib binding affinity is -3.211 Kcal/mol. For
antibacterial efficiency, 4e and 4f testing on a series of bacteria, Enterococcus faecalis, Staphylococcus
aureus, Escherichia coli, and Klebsiella, respectively, reveals that the compounds have exhibited moderate
activity against negative and positive bacteria. Antifungal activity of (4g, 4i) was assessed against the
representative typical fungi such as Candidiasis fungal and compared with Fluconazole as an antifungal
drugs. The results indicated that tested compounds had good fungicide activity, which has good growth
inhibition against Candidiasis
ЕФЕКТИВНІСТЬ ВИРОБНИЦТВА НІШЕВИХ ЗЕРНОВИХ КУЛЬТУР У КОНТЕКСТІ ЗАБЕЗПЕЧЕННЯ ПРОДОВОЛЬЧОЇ БЕЗПЕКИ І СТВОРЕННЯ ДОДАНОЇ ВАРТОСТІ
Authors: Мірзоєва Тетяна
Published: November 2024

Акцентовано увагу на необхідності забезпечення продовольчої безпеки. Наголошено, що для української національної економіки гострим питанням є створення доданої вартості. Стверджується, що вирощування нішевих культур загалом і зернових, зокрема, зумовлює низку ефектів в економічній, екологічній і соціальній площинах, але за умови ефективного управління ризиками. Проаналізовано динаміку виробництва нішевих зернових культур в Україні впродовж 2019-2023 рр. Зосереджено увагу на пшениці ярій, просі, вівсу й гречці. Виділено фактори, що стримують розвиток виробництва нішевих зернових культур. Зроблено акцент на тому, що вони сприяють забезпеченню продовольчої безпеки, розвитку виробництва продуктів із доданою вартістю, диверсифікації агробізнесу, відкривають низку можливостей для представників малого бізнесу, а їх виробництво потенційно може супроводжуватися високим рівнем ефективності.
ФІНАНСОВЕ ПРОГНОЗУВАННЯ ВИТРАТ В БЮДЖЕТУВАННІ НА ПІДПРИЄМСТВІ
Authors: Мошковська Олена , Кульгейко Михайло
Published: November 2024

Актуальність статті визначається тим, що механізм бюджетування досі не став суттєвим елементом планової діяльності українських підприємств. Фактично вищезазначена технологія фінансового планування є мало використовуваною у практичній діяльності підприємств. Ця ситуація характерна і для процесів управління витратами, які є найважливішим елементом сучасного фінансового менеджменту. Метою статті є дослідження проблематики фінансового прогнозування витрат в бюджетуванні на підприємстві. У статті обґрунтовано необхідність та показано напрями розвитку бюджетування витрат, розглянуті етапи мобільного бюджетування, представлено інтегральний показник оцінки ефективності виконання генерального мобільного бюджету. Зроблено висновок, що прогнозування та бюджетування пов'язані між собою в тому плані, що прогноз формує основу для інформаційного забезпечення бюджетування, при цьому бюджет, наповнений прогнозними даними, стає інструментом участі прогнозування в системі стратегічного планування витрат.
РЕІНТЕГРАЦІЯ ВЕТЕРАНІВ У ЦИВІЛЬНЕ ЖИТТЯ: МІЖНАРОДНИЙ ДОСВІД ТА ОСОБЛИВОСТІ В УКРАЇНІ
Authors: Ніжейко Костянтин , Ковалівська Катерина
Published: November 2024

У статті розглядається важливість реінтеграції ветеранів у суспільство. Актуальність дослідження зумовлена зростаючою кількістю ветеранів, які стикаються з соціально-психологічними викликами та необхідністю їхньої адаптації. Гіпотеза, на якій ґрунтується дане дослідження, полягає в тому, що комплексний підхід до реінтеграції, який включає психологічну підтримку, фізичну реабілітацію та державну допомогу, може значно поліпшити процес адаптації ветеранів. Методологія перевірки цієї гіпотези включає аналіз даних, представлених офіційними джерелами, а також дослідження випадків успішної реінтеграції у інших країнах, що пережили війну. Результати показали, що ветерани, які отримували комплексну підтримку, демонстрували значні покращення у відновленні родинних зв’язків та соціальній адаптації. Висновки свідчать про необхідність розробки і впровадження ефективних програм реінтеграції, які б відповідали потребам ветеранів та сприяли їхньому успішному поверненню до суспільства.
ЦИФРОВА ТРАНСФОРМАЦІЯ ПРОЦЕСІВ НА ОСНОВІ ВПРОВАДЖЕННЯ ТЕХНОЛОГІЙ ШТУЧНОГО ІНТЕЛЕКТУ
Authors: Осокіна Алла , Леоненко Олександра
Published: November 2024

В статті розглядається застосування штучного інтелекту в процесі цифрової трансформації підприємств. Аналізуються можливості застосування штучного інтелекту в різних процесах підприємства, а також їх вплив на автоматизацію бізнес-процесів, оптимізацію виробництва та покращення взаємодії з клієнтами. Розглядаються виклики, пов’язані з впровадженням штучного інтелекту, такі як дефіцит кваліфікованих кадрів, питання безпеки даних та етичні проблеми. На основі проведеного аналізу сформульовано загальні рекомендації для бізнес-організацій які планують здійснювати цифрову трансформацію з використанням технологій штучного інтелекту.
РЕФОРМУВАННЯ МЕХАНІЗМУ ЗАБЕЗПЕЧЕННЯ ФІНАНСОВОЇ БЕЗПЕКИ ТЕРИТОРІАЛЬНИХ ГРОМАД УКРАЇНИ В УМОВАХ ВОЄННОГО СТАНУ
Authors: Парубець Олена , Дуброва Юрій
Published: November 2024

У статті досліджено теоретичні підходи до визначення поняття «фінансова безпека територіальних громад». Визначено складові зазначеної безпеки, а саме бюджетну, податкову, боргову, інвестиційну та соціальну безпеки, а також враховуючи активізацію процесів цифровізації – фінансову безпеку інформаційного простору територіальних громад. Запропоновано авторське визначення механізму забезпечення фінансової безпеки територіальних громад, наведено його структуру. Зазначено, що головне призначення зазначеного механізму полягає в забезпеченні функціонування територіальних громад в умовах війни та подальшого їх відновлення і розвитку у повоєнний період. Особливий акцент при розгляді зазначеного механізму робиться на можливостях використання цифрових інструментів та розвитку інституційної взаємодії.
ІНТЕРНАЦІОНАЛІЗАЦІЯ УКРАЇНСЬКОГО ІТ-СЕКТОРА: РИЗИКИ ТА МОЖЛИВОСТІ
Authors: Середа Валентина , Кузьома Олена
Published: November 2024

Стаття присвячена актуальним питанням функціонування вітчизняного ІТ-сектору та розвитку його експортного потенціалу. Розкрито внесок ІТ-галузі у створення ВВП та експорт України, виявлені тенденції зміни відповідних показників у 2010-2023 рр. Узагальнено чинники розвитку та адаптивності вітчизняного ІТ-сектору в умовах повномасштабного вторгнення росії в Україну. Виявлено сучасні проблеми та ризики, що негативно впливають на функціонування ІТ-сектору України та запропоновані варіанти вирішення цих проблем. Охарактеризовано сильні та слабкі сторони вітчизняної ІТ-галузі, а також загрози і можливості її розвитку задля повоєнного відновлення вітчизняної економіки. Перспективність даної проблематики полягає у необхідності подальших досліджень стану і можливостей розвитку ІТ-сектора України, зважаючи на його велике значення для інтенсивного зростання вітчизняної економіки та якісного поліпшення структури експорту.
ДИВЕРСИФІКАЦІЯ АГРОБІЗНЕСУ ЧЕРЕЗ ПОШИРЕННЯ ПРАКТИКИ ВИРОЩУВАННЯ НІШЕВИХ ОЛІЙНИХ КУЛЬТУР
Authors: Степасюк Людмила , Степасюк Максим
Published: November 2024

У статті здійснено акцент на ролі диверсифікації в умовах сьогодення через вирощування нішових сільськогосподарських культур. Зазначені основні причини, що зумовлюють інтерес аграрних виробників до нішової диверсифікації. Представлені основні переваги й недоліки виробництва нішових культур. Особливу увагу дослідження акцентовано саме на нішових олійних культурах, зокрема як приклад розглянуто економічне і соціальне значення виробництва високоолеїнового соняшнику. Доведено, що в останні роки при виборі напрямку своєї діяльності для українських виробників додана вартість стає важливим орієнтиром. Обґрунтовано, що саме нішові олійні культури є найвигіднішою сировиною для виробництва продуктів із високою доданою вартістю і, що важливо, виступають джерелом додаткових доходів для аграріїв, особливо для представників малого бізнесу.
ВНУТРІШНІЙ КОНТРОЛЬ ДІЯЛЬНОСТІ: МІСЦЕ В СИСТЕМІ УПРАВЛІННЯ ТА ВЗАЄМОЗВ’ЯЗОК З ОБЛІКОВО-АНАЛІТИЧНИМ РЕСУРСОМ ПІДПРИЄМСТВА
Authors: Чернецька Ольга , Гребенюк Карина , Чабаненко Єлизавета
Published: November 2024

Статтю присвячено визначенню місця та ролі внутрішнього контролю в системі управління підприємств в актуальних умовах бізнесу та виявленню взаємозв’язку контрольних процедур з обліковим забезпеченням діяльності та застосуванням аналітичного інструментарію для оптимізації управлінських рішень. Наголошено на ролі внутрішнього контролю як важливого інструменту забезпечення дотримання вимог законодавства, управління ризиками бізнесу, підвищення рівня фінансової стабільності та конкурентоспроможності підприємства. Наведено проблемні аспекти системи управління на підприємстві в контексті застосування контрольних заходів. Визначено ключові аспекти взаємозв’язку внутрішнього контролю з обліково – аналітичним ресурсом підприємства. Запропоновано напрямки оптимізації системи управління засобами внутрішнього контролю його діяльності у взаємодії з обліково-аналітичним ресурсом бізнес-суб’єкта.
ОСОБЛИВОСТІ ФОРМУВАННЯ МАРКЕТИНГОВИХ СТРАТЕГІЙ НА РИНКУ ПОЛІГРАФІЧНИХ ПОСЛУГ
Authors: Чміль Ганна , Близнюк Тетяна
Published: November 2024

У статті досліджуються ключові аспекти формування маркетингових стратегій для підприємств поліграфічної галузі, що діють в умовах цифровізації. З огляду на зростаючу конкуренцію та зміни в уподобаннях клієнтів, виділено основні виклики, з якими стикаються друкарні: необхідність створення унікальної пропозиції, забезпечення екологічності та інтеграція з сучасними цифровими платформами. В ході дослідження розглядаються питання адаптації до нових технологій і важливість персоналізації для підтримки лояльності клієнтів. У статті наведено практичні рекомендації для підвищення конкурентоспроможності поліграфічних підприємств, зокрема через цифрові інструменти для аналізу ринку та онлайн-просування. Запропоновані стратегії спрямовані на оптимізацію взаємодії з цільовою аудиторією, підвищення ефективності рекламних кампаній і поліпшення іміджу поліграфічних послуг.
ПРОГНОЗУВАННЯ ТА СЦЕНАРУВАННЯ РОЗВИТКУ МІСТ В УМОВАХ ІНФОРМАЦІЙНОЇ ЕКОНОМІКИ
Authors: Романовська Юлія
Published: November 2024

В роботі зазначено, що інформаційна економіка в умовах інтеграційних процесів є ключовим напрямом розвитку міських територій; основними ресурсами інформаційної економіки виступають знання й інформація. В статті доведено, що прогнозування та сценарування розвитку міст виступає в ролі стратегічного інструменту для планування майбутнього. Доведено, що зв'язок між прогнозуванням і сценаруванням розвитку міст полягає в тому, що прогнозування забезпечує базу для сценаріїв, дозволяючи створювати більш реалістичні та обґрунтовані варіанти розвитку. Прогнозні сценарії – основа для гнучких та адаптивних рішень щодо розвитку міста, що дозволяє зменшити ризики від непередбачуваних загроз. З’ясовано, що розроблення сценаріїв як вид управлінської діяльності у світовій практиці, поєднує вплив різноманітних чинників, тенденцій та процесів у зовнішньому та внутрішньому середовищі інформаційної економіки.