bluuebunny/crossref_metadata_2025 huggingface dataset:
ENSINO DE TRIGONOMETRIA NO TRIÂNGULO POR ATIVIDADES EXPERIMENTAIS
Authors: Silva Cláudio Lima da , Silva Ana Kely Martins da , Sá Pedro Franco de , Silva Francisco Hermes Santos da
Published: December 2024

Este trabalho apresenta os resultados de uma dissertação de mestrado do Programa de Pós-Graduação em Ensino de Matemática da Universidade do Estado do Pará (UEPA), intencionando responder à seguinte questão: quais os possíveis efeitos da aplicação de um conjunto de atividades experimentais para o ensino de relações trigonométricas no triângulo retângulo quando desenvolvidas junto a alunos do 2º ano do ensino médio? O objetivo que norteou o processo investigativo foi: analisar os possíveis efeitos da aplicação de uma sequência didática baseada em atividades experimentais sobre o processo de ensino e aprendizagem e do desempenho na resolução de problemas trigonométricos no triângulo retângulo de uma turma do 2º ano do Ensino Médio. A experimentação foi realizada numa escola da rede estadual de ensino do município de Parauapebas, PA, com 40 discentes. Os resultados revelaram que, inicialmente, os alunos apresentaram um desempenho insatisfatório, com uma média de acertos muito baixa no pré-teste. Após a aplicação das atividades, a média de acertos subiu para 85,71%, evidenciando efeito favorável da abordagem experimental. A análise estatística confirmou que a intervenção não apenas melhorou o desempenho acadêmico, mas também reduziu a influência de fatores externos, como condições socioeconômicas, na aprendizagem.
Vacuum evaporation optimization of Bali local honey for quality enhancement
Authors: Mangku I.G.P. , Udayana I.B.G. , Hidalgo H.A. , Nicolas A.R. , Fresnido M.B.
Published: December 2024

The quality of honey is of great importance to both local and international markets, as it
ensures competitive pricing and promotes human health. One crucial factor that affects
honey's quality is its moisture content. Therefore, this study aimed to evaluate the effect of
temperature and rotation speed of evaporated vacuum on the physicochemical quality of
local honey and to determine the most effective vacuum evaporated to improve honey
quality. It employed a randomized complete block design comprising of two factors, such
as evaporated temperatures of 60℃, 70℃, and 80℃, as well as the rotation speed of the
evaporator vacuum at 80 rpm, 100 rpm, and 120 rpm. The results showed that reducing
the moisture content of local honey can improve its quality significantly. Furthermore, the
quality can be improved by a rotary vacuum evaporator using a temperature of 70℃ and a
rotary speed of 100 rpm. The physicochemical quality showed a moisture content, ash
content, reducing sugar, pH value, L*, a*, and b* of 20.978±0.335%, 0.310±0.006%,
65.460±0.135%, 3.741±0.006, 16.473±0.206, 2.447±0.105, and 1.280±0.040,
respectively.
Organoleptic analysis as approach study for consumer preference of Cajuput
(Melaleuca cajuputi) sponge cake
Authors: Laksmita A.N. , Salam D.M. , Fernandes A. , Maharani R. , Saputra S.H.
Published: December 2024

Sponge cake is a delightful food for gathering in the afternoon or evening. Sponge cake
taste usually sweet with various additions such as chocolate, chopped walnuts, cheese,
pandan aroma, and others. The development of the culinary business requires some
innovations to create new variants of sponge cake with unique taste, and healthy purposes.
Cajuput is a familiar herb for bio-food and bio-medicine material; thus it can be used as an
additional taste for a unique sponge cake. An innovation was made by adding dried
Cajuput leaf flour into sponge cake for health benefits. This study aimed to determine the
response of panelists of Cajaput sponge cake. The research was carried out by adding 10 g
(D1), 20 g (D2), and 30 g (D3) of dried Cajuput leaf flour into sponge cake. Organoleptic
testing was carried out on forty trained panelists to describe the consumer acceptance of
the sponge cake. The results showed that 35% of panelists preferred the aroma of D1 and
D2 Cajaput sponge cake. Meanwhile, 65% of panelists liked the taste of D1 Cajaput
sponge cake. On the other hand, 45% of panelists liked the texture of D2 sponge cake. A
total of 55% of panelists overall accepted the D1 Cajaput sponge cake. The consumer
acceptance of the Cajaput sponge cake will be a drive for culinarians to develop a
healthier and tasty food products.
Preparation and characterization of nanoparticle and nanocrystal from sago
starch
Authors: Ramli M.E. , Zulkurnain M. , Nazir N. , Uthumporn U.
Published: December 2024

There is an emerging interest in the development of starch-biomaterial for various
applications such as in food emulsions. Starch has several advantages to be modified as
they are low-cost material, submicron in size with a high surface area to volume ratio and
abundance of functional groups for surface modifications. The objective of this study was
to prepare and investigate the morphological, structural and physicochemical properties of
nanoparticles (SNP) and nanocrystals (SNC) extracted from sago starch. SNP was
prepared by enzymatic hydrolysis with 5% pullulanase at 58°C for 24 hrs, meanwhile
SNC was produced by acid hydrolysis with aqueous sulphuric acid (H2SO4) for 5 days at
40°C. Both SNP and SNC showed a size lower than 1000 nm and a homogenous
polydispersity index. The X-ray diffraction analysis showed that the relative crystallinity
increased significantly (p<0.05) and allowed stronger hydrogen bond interaction in both
SNP and SNC. Besides that, swelling power, solubility and yield of SNP were
significantly higher (p<0.05) than SNC as it was greatly influenced by the amorphous and
crystalline regions of the starch particles after hydrolysis. Moreover, SNP have a less
distinct shape with a size larger than SNC favoured by self-aggregation and lower zeta
potential value. Overall, SNP prepared by enzymatic hydrolysis showed the most
promising materials to meet industrial demands due to the environmental friendliness (no
pollution), high yield and less preparation time needed. Therefore, the newly fabricated
SNP have potential as an emulsifier, encapsulating agents and others regardless of any
food system.
USE OF SODIUM TETRADECYL SULFATE IN THE TREATMENT OF PATIENTS WITH VENOUS MALFORMATIONS OF THE MAXILLOFACIAL REGION
Authors: Sh.T. Kamilov , A.A. Grishin
Published: December 2024

The aim of the study was to evaluate the effectiveness of the foam form of 3% sodium tetradecyl sulfate in the treatment of patients with venous malformations of the maxillofacial region. The study included 30 patients with venous malformations of the maxillofacial region. The patients were divided into three groups: group 1 – patients with a small malformations size up to 2cm in diameter; group 2 – patients with an average malformations size from 2 to 6cm in diameter; group 3 – patients with a large malformations size from 6cm in diameter. In the treatment of patients, a foam form of 3% sodium tetradecyl sulfate was used.
All patients were treated without intraoperative and postoperative bleeding. According to the results of the study, large malformations decreased in size by an average of 49.7%, medium malformations decreased by an average of 68.1%, while small malformations decreased by 69.6%.
Sclerosing of venous malformations of the maxillofacial region with a foam form of 3% sodium tetradecyl sulfate is an effective, easily accessible and safe treatment method.
ANALYSIS OF THE EFFECTIVENESS OF PARASITOLOGICAL EXAMINATION OF BILE DEPENDING ON THE PHASE OF THE LUNAR CYCLE AND THE MONTH OF THE YEAR: MYTH OR REALITY?
Authors: O.A. Baykova , V.O. Kobanenko , L.V. Nikolaeva
Published: December 2024

Relevance. Currently, medicine emphasizes the biological characteristics of the organism. In this context, the study of the impact of the lunar cycle on disease incidence and human physiological activity is of particular interest. In Russian clinical practice, there is a widespread belief that the likelihood of detecting Opisthorchis eggs in bile is higher during the full moon. However, this assertion is unsubstantiated. Opisthorchiasis is a natural focal biohelminthiasis. The most intense endemic region for opisthorchiasis in the world is the Ob-Irtysh basin, which includes the Krasnoyarsk Territory. Despite the emergence of new diagnostic techniques, diagnosing opisthorchiasis remains complex and vulnerable. Therefore, we decided to analyze whether the efficiency of parasitological examination depends on the phases of the lunar cycle and the time of year.
Aim. To analyze the frequency of opisthorchiasis detection depending on the day and phase of the lunar calendar, as well as the month of the year, based on the results of duodenal probing.
Matherials and Methods. The frequency of opisthorchiasis detection was analyzed using duodenal probing among 361 patients over the period from 2008 to 2023. The following indicators were selected to evaluate the dependency of detection frequency: month of the year, phase of the lunar calendar (new moon, first quarter, full moon, and third quarter), and day of the lunar calendar (from 1 to 30). The results were evaluated using Poisson regression analysis and Spearman's rank correlation coefficient.
Results. The results of the Poisson regression analysis indicated that the independent variables used (days and phases of the lunar calendar) did not have a statistically significant impact on improving the model (p = 0.150 and p = 0.504, respectively). No statistically significant influence on the model was found either (p = 0.488 and p = 0.516, respectively). No statistically significant correlation between the phases of the lunar calendar and the number of opisthorchiasis detections was found using Spearman's rank correlation coefficient (r = -0.108, p = 0.571). An analysis of the number of opisthorchiasis detections by specific months registered a deviation from the Poisson distribution due to the obtained overdispersion of the indicator.
Conclusions. Using the model to predict opisthorchiasis detections based on the day or phase of the lunar cycle is not feasible. Poisson regression analysis for estimating the number of opisthorchiasis detections by specific months is unachievable.
Optimización del cuidado post operatorio: intervenciones de enfermería en la prevención de complicaciones en cirugía abdominal
Authors: Zambrano Cerón Dolores Guadalupe , Sanmartin Matute Nube Beatríz , Zambrano Mora José Gabriel , Pinargote Macías Nelson Isaac
Published: December 2024

Los pacientes en el postoperatorio son más vulnerables al dolor, la hemorragia, a reacciones relacionadas a la aplicación de agentes anestésicos y a los cambios rápidos en la homeostasis. Las complicaciones se producen cuando las pacientes están fisiológicamente inestables después de la intervención y pueden reaccionar al procedimiento o a los medicamentos que se les han administrado. Se llevó a cabo una revisión bibliográfica exhaustiva sobre la optimización del cuidado postoperatorio y las intervenciones de enfermería dirigidas a la prevención de complicaciones en cirugía abdominal. Se recopiló información de diversas bases de datos académicas, enfocándose en estudios clínicos y revisiones sistemáticas que analizaron el impacto de las prácticas de enfermería en la recuperación de pacientes. La optimización del cuidado postoperatorio en cirugía abdominal representa un pilar fundamental en la mejora de los resultados clínicos y la satisfacción del paciente. Las intervenciones de enfermería desempeñan un papel crucial en la prevención de complicaciones, la promoción de la recuperación y la disminución de la estancia hospitalaria.
Classification of competitiveness determinants in information and communication technologies
Authors: Zavhorodnya Elizaveta , Melnyk Tetyana
Published: December 2024

In the current era, the influence of the ICT sector on the national economy is greater than ever before. Consequently, it is vital to gain a deeper understanding of the various factors that affect ICT companies and the ICT sector in order to ensure the continued growth and competitive advantage of the national economy. It is therefore necessary to consider, summarise, group and classify the principal determinants of influence on the development and competitiveness of information and communication technologies (at the level of ICT companies and the ICT sector as a whole) for subsequent use by the main stakeholders. The objective of this study is to identify the distinctive characteristics and classify the factors that influence the development and competitiveness of information and communication technologies (ICT) at the level of individual ICT companies and at the level of the broader ICT sector within a national economy. It is proposed that the determinants of the development and competitiveness of ICT companies be classified according to the following criteria: the Five Competitive Forces Model, the Diamond Model, the Value Chain Model, the formation environment (to take into account the internal environment of the ICT company, its external industry environment or in the national/global context), types of resources (to reflect the impact of resources on the ICT company's competitive position), impact duration (to help ICT companies prioritise their corporate strategies), strategic focus (to align corporate activities with selected competitive advantages), types of technology (to understand the specific challenges and opportunities of different technologies), and types of market factors (to understand the challenges and opportunities of target markets). Concurrently, the categorisation of determinants of development and competitiveness within the ICT sector of the national economy is constituted by a set of elements pertaining to the economic environment (for the purpose of identifying the particular economic circumstances that impact upon the ICT sector), the technological environment (for the purpose of understanding the specific technological factors and innovations that contribute to its growth and competitiveness), the social environment (for the purpose of characterising the influence of social factors on the implementation and utilisation of ICT), the regulatory environment (for the purpose of considering the impact of legislation, regulations and policies on the ICT sector) and market dynamics (for the purpose of reflecting the impact of market conditions on the ICT sector).
Інвестиції в зелений бізнес та сталий розвиток
Authors: Holovnia Yuliia , Bilousko Tamila
Published: December 2024

Стаття присвячена дослідженню ролі інвестицій у розвиток зеленого бізнесу як важливого чинника сталого розвитку економіки України. У роботі розглянуто сутність зеленого бізнесу, який орієнтується на мінімізацію негативного впливу на навколишнє середовище через інноваційні рішення та екологічно чисті технології. Особлива увага приділяється аналізу Environmental Performance Index (EPI) для України, що дозволяє оцінити екологічну ефективність та роль інвестицій у вирішенні екологічних викликів. У статті також проаналізовано Green Growth Index (GGI), що відображає розвиток зеленої економіки в країні, зокрема, за показниками ефективності використання ресурсів, захисту природного капіталу, розвитку зелених економічних можливостей та соціальної інтеграції. Окремо розглянуто розвиток біоекономіки як складової зеленої економіки, що підвищує конкурентоспроможність на міжнародних ринках. Розглянуто фінансові інструменти для інвестування в зелений бізнес. Зроблено висновок, що інвестиції в зелений бізнес є стратегічним інструментом для досягнення сталого розвитку та покращення екологічної ефективності України в умовах глобальних викликів.
Оцінка ефективності впровадження системи управлінської звітності
Authors: Zavoritnii Mykola
Published: December 2024

У дослідженні обґрунтовано потребу та переваги систематизованої управлінської звітності для прийняття стратегічних і тактичних рішень. Розглянуто основні етапи впровадження системи: підготовка, проектування, розробка і тестування, впровадження, постійна експлуатація та вдосконалення. Особлива увага приділяється використанню сучасних технологій, таких як штучний інтелект, хмарні технології та Big Data, для підвищення ефективності управлінських рішень. Автором розроблено послідовний алгоритм впровадження системи управлінської звітності. Ефективність впровадження пропонується оцінювати за ключовими показниками ефективності (KPI), які включають точність, своєчасність, повноту інформації, економічну ефективність, задоволеність користувачів, аналіз ризиків та надійності системи. Дослідження підтверджує, що впровадження сучасних технологій у систему управлінської звітності сприяє досягненню стратегічних цілей підприємства та підвищенню його конкурентоспроможності.
Environmental and economic risks in the implementation of the sustainable development model for enterprises in the conditions of energy challenges
Authors: Komelina Olha , Kharchenko Yuriy
Published: December 2024

The article is devoted to the study of scientific and methodological foundations for assessing ecological and economic risks in the implementation of a model for sustainable development of enterprises under increasing energy challenges. It was determined that the development of a modern business model for enterprises should take into account changes in their competitive position, new trends in the development of the energy market, processes of decentralization of energy networks, and the reconstruction of Ukraine's energy infrastructure under the influence of geopolitical factors. The authors propose an economic-mathematical model for analyzing the volume of the company's products, taking into account the value of its products for the consumer. The implementation of this approach will make it possible to determine ways to achieve sustainable energy development of Ukrainian enterprises and their adaptation to new conditions of competitiveness and energy sustainability.
A Study of the Reasons of the Social Exclusion of Infertile Couples in Poland
Authors:   Nicolaus Copernicus University in Toruń, Collegium Medicum in Bydgoszcz, Baruch Anna ,   Municipal Social Welfare Centre in Bydgoszcz
Published: December 2024

This article addresses the underresearched issue of exclusion of a social group that consists of people experiencing involuntary childlessness, which has not been thoroughly researched in this perspective yet. Apart from the available literature on this subject, there were also used conclusions from research that represent only a small part of the author’s unpublished doctoral dissertation Niepłodność w narracjach małżeństw jako indywidualne i wspólne strategie uczenia się egzystencjalnego [Infertility in the accounts of married couples as individual and joint strategies of existential learning]. The author argues that the marginalization of childless people is a consequence of receiving no external support from state organs and institutions (mostly from the educational and medical sector) that would make it possible to prevent infertility or, if it is diagnosed, to make available all possible ways to overcome it.
EXTRACTION OF CYBERSECURITY OBJECTS FROM ARRAYS OF ELECTRONIC TEXT DOCUMENTS ON THE INTERNET AND SOCIAL NETWORKS
Authors: Puchkov Olexandr , Lande Dmytro , Subach Ihor
Published: December 2024

The modern world is characterized by the rapid development of information technology (IT) and global interaction in cyberspace. This progress, despite its benefits, has also led to the emergence of new threats and challenges in the field of cybersecurity. Cyberwarfare, which has become a real problem for states, organizations and individual users, requires the development of effective methods for detecting and analyzing cybersecurity targets. One of the key aspects in the fight against cyber threats is the ability to extract factual data about cybersecurity objects from large amounts of textual information. Traditional text analysis methods have their limitations, especially when working with large and complex text data. In this regard, the use of modern IT, which allows processing and analyzing textual information with high accuracy and efficiency, becomes relevant. The article presents methods for extracting cybersecurity objects from electronic text documents using regular expressions and detecting cybersecurity objects based on the analysis of arrays of Cyrillic texts. The first methodology detects factual data from text documents using regular expressions, which allows for the accurate identification of geographic names, company names, and other important concepts. The second method is designed to analyze Cyrillic texts to recognize named cybersecurity entities, which simplifies the extraction procedure and increases the accuracy of the result. Each methodology complements each other, creating an overall integrated system that more effectively solves the task of extracting and analyzing cybersecurity objects compared to currently available solutions. The algorithms of the proposed methods are described, the practical implementation of which allows processing and analysing textual information with high accuracy and efficiency, which is an important step in the development of information technology for computer intelligence from open electronic sources and social networks.
IMPLEMENTATION OF DATABASE SECURITY BASED ON ORACLE AUDIT VAULT AND DATABASE FIREWALL
Authors: Tyshyk Ivan
Published: December 2024

The paper provides recommendations for protecting databases from unauthorized intrusions, organizes the collection of statistics on the relevance and potential number of database attacks currently occurring worldwide, and offers a general overview of database attacks and countermeasures. To monitor database activity for unauthorized actions, the solution used is Oracle Audit Vault and Database Firewall, which combines built-in audit data with network SQL traffic capture. This solution prevents unauthorized database connections. It is evident that some databases may be compromised by cybercriminals through sheer luck or by exploiting employee negligence. Many companies may neglect to change default login credentials for information systems. Weak employee passwords that are easy to guess, or passwords that are not changed regularly, can also be exposed by cybercriminals. Hackers often use automated software to gain unauthorized access to an information system by brute-forcing passwords, cycling through words from a dictionary. Many users choose simple words for passwords that could potentially be included in a dictionary, making the information system vulnerable. Additionally, database access can easily be achieved using malicious software designed to exploit unprotected or outdated systems. This can also apply to unused database features, which may have their own vulnerabilities. Attackers can exploit software vulnerabilities in various ways, such as writing code for a target vulnerability hidden inside malware. Updates can improve software performance, fix existing bugs, remove outdated features that take up disk space, and enhance the overall security of the system. Updates are available for both operating systems and database management systems, and are crucial for ensuring their security and stability.
DESIGN OF SYMMETRIC CRYPTOGRAPHIC DIFFERENTIAL DISTINGUISHER BASED ON DEEP LEARNING
Authors: Jiang Xue , Lakhno Valerii , Sahun Andrii , Mamchenko Sergii
Published: December 2024

Research in the field of cryptanalysis demonstrates that differential discriminators based on neural networks significantly outperform traditional methods in identifying weaknesses in simple encryption algorithms. This is due to their ability to detect complex patterns in data that may go unnoticed by classical approaches. However, despite their high performance, there are limitations in terms of the accuracy of the discrimination and the maximum number of rounds that can be compromised for certain ciphers. The purpose of this study is to overcome these shortcomings by optimizing the architecture of the neural network (NN) and the structure of the input data, according to the Gohr model. As part of this work, several key components of the differential discriminator were improved: the convolutional module, the residual module, and the prediction module. The optimization of these components allowed to significantly increase the efficiency in recognizing differential patterns in ciphertexts. In addition, special attention was paid to optimizing the structure of the input data, which made it possible to more accurately identify the characteristics of the ciphertext and information about the encryption structure. The results of the study, conducted on the example of cryptanalysis of the Speck32/64 cipher, confirm the improvements achieved: the accuracy of the differential distinguisher has increased by 5-7 rounds, and the recognition capability has been extended to 8 cipher rounds. These achievements demonstrate the high efficiency of the proposed approach, which has significant potential for further research in the field of cryptanalysis. Due to the importance of information system security, the results of this study can significantly affect the development of new cryptanalysis methods and the improvement of encryption algorithms, which, in turn, can lead to increased data protection reliability in the modern digital environment. The results of the study, conducted on the example of cryptanalysis of the Speck32/64 cipher, confirm the improvements achieved: the accuracy of the differential distinguisher has increased by 5-7 rounds, and the recognition capability has been extended to 8 cipher rounds. These achievements demonstrate the high efficiency of the proposed approach, which has significant potential for further research in the field of cryptanalysis. Due to the importance of information system security, the results of this study can significantly affect the development of new cryptanalysis methods and the improvement of encryption algorithms, which, in turn, can lead to an increase in the reliability of data protection in the modern digital environment.
THE CONCEPT OF APPLYING BLOCKCHAIN TECHNOLOGIES TO INCREASE THE SECURITY OF PERSONAL DATA OF THE “DIYA” PLATFORM: COMPLIANCE WITH THE REQUIREMENTS OF THE GDPR AND UKRAINIAN LEGISLATION
Authors: Balatska Valeriia , Poberezhnyk Vasyl
Published: December 2024

With the development of digital government services and the “Diya” project in Ukraine, the issue of personal data protection is becoming one of the most important challenges, especially in the context of compliance with the requirements of the General Data Protection Regulation (GDPR) and national legislation. Modern digital solutions must ensure transparency, security and compliance with legal norms regarding the processing and storage of citizens’ personal information. This study proposes the integration of blockchain technologies into the “Diya” project as an effective means of increasing the confidentiality and security of personal data. The use of blockchain ensures the immutability and transparency of data in state registers, allowing to track all operations with information and record each request for access. This is especially important for compliance with the principles of the GDPR, such as transparency of data processing, the right to information and the right to be forgotten. The proposed system includes key technological components, such as smart contracts to automate the management of consent to data processing and the delimitation of access to them. Smart contracts allow for automatic and secure execution of agreements between the user and the system, significantly reducing the risks of human error or abuse. In addition, the use of the decentralized IPFS file system guarantees reliable file storage, which eliminates the possibility of centralized attacks or information loss. Data protection methods such as masking, pseudo-anonymization and perturbation help reduce the risk of unauthorized disclosure of information even in the event of a data leak. This is especially relevant for state registers containing sensitive information about citizens, and provides a high level of protection in accordance with GDPR standards. The implementation of this concept within the framework of the “Diya” project will not only increase citizens’ trust in state digital services, but also create conditions for Ukraine’s integration into the European legal space in terms of personal data protection. The proposed solution can become the foundation for the further development of state registers and other digital services focused on data protection within the framework of the latest technologies. The purpose of the research is to analyze and develop an innovative system for protecting personal data in state registers of Ukraine based on blockchain technologies, which meets the requirements of GDPR and national legislation. This approach will ensure reliability, security and transparency of data processing, which will contribute to the digital transformation of public administration.
MODEL OF PARAMETERS FOR ASSESSING CONSEQUENCES OF LEAKAGE OFFICIAL INFORMATION FROM OBJECT OF CRITICAL INFRASTRUCTURE
Authors: Dreis Yurii
Published: December 2024

There is a problem between the effectiveness of ensuring the stable and continuous functioning of a critical infrastructure facility in the process of providing it with basic services and/or vital functions and the effectiveness of the implemented methods, means and measures that do not provide a sufficient level of protection of critical information infrastructure facilities and, as a result, lead to the leakage of information with limited access, especially official information. To solve it, an analysis of the types of liability in case of disclosure of official information, classified by the amount of significant damage caused or serious consequences, was conducted. Criteria for restricting access and classifying types of information with limited access, especially for official information, were established as a “three-part test” to determine the relevant interest, purpose and its purpose, harm in case of disclosure and its counterbalance to the public interest in disclosure. Based on the conducted study of the list of service information of a separate critical infrastructure object, a basic model was developed, which, due to the integrated set-theoretic representation of sets characterizing the parameters of access restrictions, the information object, its set or individual indicators, the stamp, terms and types of marking of material carriers of service information, etc., allows, in accordance with the requirements of current legislation, to determine the sets of input and output components for forming a set of parameters for assessing the consequences of its leakage. Also, a hierarchical structure of this tuple model of the parameters for assessing the consequences of a leak of service information of a critical infrastructure object was built for the structuring of input and output data. In the future, to conduct experimental research and practical implementation of the above process, it is necessary to develop a method for assessing the consequences of the leakage of official information from object of critical infrastructure.
INFORMATION RETRIEVAL AND DEANONYMIZATION IN THE TASKS OF EARLY DETECTION OF POTENTIAL ATTACKS ON CRITICAL INFRASTRUCTURE
Authors: Chalyi Oleksii , Stopochkina Iryna
Published: December 2024

Information about cyberattacks that attackers plan to carry out against critical infrastructure facilities is partly distributed on malicious information сhannels, chats or sites. Investigation of information materials and their analysis can provide an understanding of the stages of attack planning and their prevention. Part of this problem is to provide information search and analysis tools to detect linguistic patterns, similarities in text data, which are capable of deanonymizing cybercriminals and establishing relationships between published data. This work proposes a new model and a corresponding prototype of the system, based on the vector space model and the TF-IDF algorithm. The system is designed to analyze publicly available text data (both internet and darknet), and differs with a probabilistic approach to analyzing the identifiers of the information publisher. The proposed system also focuses on identifying latent connections between anonymous accounts by analyzing unique stylistic and linguistic traits. It leverages these traits to trace patterns in communication, uncovering hidden associations among cybercriminal entities. Experiments conducted based on the analysis of real chats, including chats of cybercriminals, demonstrate the potential of the system for detecting identifiers and determining stylistic features. If a sufficiently complete set of data is available and a list of target words is available, it is possible to analyze the stages of preparing an attack, malicious individuals or groups involved in it. The results underline the significance of integrating advanced linguistic analysis techniques with probabilistic models to enhance investigative capabilities against evolving cyber threats.
FUZZY COGNITIVE MAPS AS A TOOL FOR VISUALIZING INCIDENT RESPONSE SCENARIOS IN SECURITY SYSTEMS
Authors: Shevchenko Svitlana , Zhdanovа Yuliia , Skladannyi Pavlo , Petrenko Taras
Published: December 2024

Cyber threats are becoming increasingly complex and diverse. Existing methods of analysis and decision-making do not always allow us to adequately assess the uncertainty and ambiguity of the situation, responding to cyber incidents after they occur. It is more effective to implement proactive cybersecurity measures based on constant analysis and forecasting of potential threats. This approach allows us to identify weaknesses in the security system and take preventive measures, minimizing the risk of successful cyber attacks. This study proposes the use of fuzzy cognitive maps (FCMs) as an effective tool for visualization and analysis of incident response scenarios. Based on the analysis of scientific sources, the main definitions of the study are highlighted, in particular, the concepts of cognitive modeling, a fuzzy cognitive map, which is presented in the form of a weighted directed graph and a cognitive matrix, and the stages of its creation. The main provisions regarding the scenario approach in cybersecurity are formulated. As a result of the SWOT analysis, key concepts were identified, including risks, attacks, and defenses that form the basis of the system. The assessment of the relationships between concepts allowed us to create a model that reflects the cause-and-effect relationships between the elements of the mobile network security system. The model indicators were studied: consonance and dissonance, which showed that the greatest threat to the system is posed by APT (Advanced persistent threat), phishing, and ransomware, which have the highest level of relationships with other elements of the system, and DDoS attacks, on the contrary, have the least impact in the context of the constructed model. Scenarios for responding to incidents in the network security system were developed using the Mental Modeler software tool. Disadvantages of cognitive modeling and the scenario approach are identified. Their limitations are associated with the quality of expert knowledge and the complexity of building models for large systems. Promising areas of further research are the development of adaptive models capable of self-learning on new data using artificial intelligence. The results of the study can be used as educational material for students of specialty 125 Cybersecurity and Information Protection.
Deep Learning Classification and Object Detection in Helicopter Images: Performance Analysis of GoogleNet, AlexNet and YOLOv9c Architectures
Authors: Doğan İrem Hatice , Arslan Ozan , Tat Ayşe Betül , Şahin Burhan , Uslu Ege Erberk , Yülüce İbrahim , Dağdeviren Orhan
Published: December 2024

Helicopter imaging classification and detection are crucial for autonomous navigation, military operations, search and rescue, and civil aviation management. This study utilized two helicopter image datasets, applying data augmentation techniques such as random resizing, cutting, horizontal rotation, rotation, and color adjustments, along with histogram equalization for contrast enhancement. Twenty-four helicopter classes were trained using GoogleNet and AlexNet architectures, while the YOLOv9c model was employed for object detection. The results revealed that the GoogleNet classification model achieved an 81% F1 score, and AlexNet reached 73%. In contrast, the YOLOv9c model demonstrated an average mean Average Precision (mAP) of 87%. These findings indicate that CNN architectures and YOLO are effective for helicopter image classification and detection, highlighting their potential applications in military, search and rescue, and civil aviation contexts.
Meat productivity of ducks with the use of biologically active substances
Authors: Polozyuk Olga Nikolaevna , Polozyuk Evgeny Sergeevich , Kornilova Valentina Anatolievna
Published: December 2024

The authors found out that throughout the experiment, the dynamics of the live weight of broiler ducks of the Agidel 345 cross was greater in the second experimental group, which received the probiotic “Subtilis”. At the end of the experiment, the body weight in this group was 3822.5 g, which is 3.8% (144 g) and 2.6% (99.1 g) more compared to the control and first experimental groups.The use of probiotics “Prolaxim-В” and “Subtilis” also had a positive effect on meat productivity indicators. In the first experimental group, where Prolaxim-B was used as a probiotic, and the second experimental group, where the probiotic Subtilis was used, the yield of muscle tissue was higher than in the control group by 0.6 and 1.2%. In the first experimental group, the yield of internal fat was greater than in the control group by 2.6 g, but less than in the second experimental group by 4.9 g.
Technology of differentiated environmentally safe irrigation with wide-coverage sprinkler equipment
Authors: Zhuravleva Larisa Anatolievna , Apatenko Aleksey Sergeevich
Published: December 2024

The article considers the technology of differentiated irrigation, that reduces the volume of surface runoff and significantly improves environmental safety. The volume of surface runoff per irrigation using standard technology in 2020 amounted to 9 % of the irrigation rate, which is 2.3 times more than with optimized technology. According to the results of research in 2021, the volume of surface runoff using standard technology amounted to 10 % of the irrigation rate. The volume of runoff using optimized technology was 2.4 times less. Field studies in 2022 also showed that the volume of surface runoff during irrigation using standard technology, with the same rate, is significantly higher than that of irrigation with differentiated standards and the volume of runoff from the irrigation rate was 8% with standard technology, 3.6% with optimized technology. The surface runoff results in surface wash and removal of nutrients and humus. The analysis also showed the decrease of nutrient removal with the introduction of optimized technology.
Safety of loading and unloading and transport operations of agroindustrial complex and theoretical and practical justification of ways to ensure it
Authors: Shkrabak Vladimir Stepanovich
Published: December 2024

The article notes the predominant role of agricultural production in the structures of the OKVED of the country and its undeniable success. Attention is drawn to the loading and unloading and transport operations in agriculture, which do not fully meet the requirements of the regulatory framework in the field of safety. In support of this, information is provided on this problem in Russia and in some countries of the world. Particular emphasis is made on the need to strengthen work in this direction, including theoretical and practical aspects. For analysis, the article schematically presents the subindustries of the agroindustrial complex with the presence of loading and unloading and transport operations, the aggregate state of goods and their mass and dimensional characteristics, which significantly affect safety. The need for professional and objective multilateral analysis is emphasized in order to find ways to improve the safety of loading and unloading and transport operations, taking into account the characteristics of agricultural goods. The relative stability of industry factors influencing the danger is noted; however, it does not allow to develop methods for reducing and eliminating injuries and accidents in the considered operations. Therefore, the article forms analytical dependencies on the relevant parameters and their interrelationships. The analysis and assessment of the situation with injuries and accidents in the implementation of loading and unloading and transport operations determine the need to update the regulatory framework in this part, as well as theoretical and practical provisions in terms of engineering and technical innovation. Five patented solutions are given as an example, contributing to the practical elimination of traumatic factors.
Study of resistance to Phytophtora infestans of potato breeding material using DNA markers
Authors: Doguzova Nino Nodarovna , Gazdanova Irina Olegovna
Published: December 2024

Potato late blight, caused by the oomycete Phytophthora infestans, is one of the most harmful diseases of the crop. Nightshade crops suffer the most from it, with potatoes (Solanum tuberosum) taking the first place. Late blight causes serious damage to potatoes by sapping out nutrients from the root tissue. The development of molecular marker technology has had a great impact on plant breeding. Various types of molecular markers have been developed, and sequencing technologies have contributed to the improvement of agricultural crops. Late blight resistance based on the R resistance gene is the most effective method for suppressing infection by the pathogen Phytophthora infestans. Using SCAR markers of R genes, it is possible to identify potential donors of resistance genes, facilitate the selection of resistant plants in segregating populations, and determine the preservation of resistance genes after multiple crossings and during long-term cultivation of potato varieties.
The effectiveness of humic acid salts and chelated forms of microfertilizers when cultivating potatoes on irrigated chestnut soils of the Transvolga region
Authors: Korsakov Konstantin Vyacheslavovich , Pronko Viktor Vasilievich , Pronko Nina Anatolievna
Published: December 2024

In 2019–2022 field experiments with fertilizers based on humic acids were carried out on irrigated chestnut soils in the Saratov Transvolga region. The object of the research was the released variety of potato Silvana. The comparative evaluation of products containing the alkaline extraction of humic and fulvic acids (potassium humate) and chelated forms of microfertilizers (Reasil® micro Hydro Mix) was given. On average within 4 years of experiments the extra yield due to three-time application of potassium humate was 2.82 t/ha compared to the control. Three-time spraying of potato crop with the solution of Reasil® micro Hydro Mix increased the yield by 3.48 t/ha. Considering the statistically inaccurate difference between these two groups (0.66 t/ha), the equivalent influence can be established. The maximum yield of commercial potato tubers of Silvana variety was obtained with the combined application of potassium humate and Reasil® Forte Carb-N-Humic, that is 25.86 t/ha. Fertilizers based on humic acids increased the yield of starch by 475-1076 kg/ha.
Formation of the yield of winter wheat varieties depending on their cultivation methods in the Nizhny Novgorod region
Authors: Petrov Leonid Kirillovich , Ivenin Valentin Vasilievich , Ivenin Аleksey Valentinovich
Published: December 2024

The results of studies of the cultivation (seeding rate) influence on the yield of winter wheat varieties conducted in the Nizhny Novgorod Research Institute in 2017-2021 are presented. The slightly better field germination rate of plants was determined on average in the varieties Moskovskaya 82 and Moskovskaya 39 – 70.2 and 69.0 % respectively. It was revealed that overwintering of plants of the studied culture was satisfactory in general, and the best result was in the Moskovskaya variety 82 – 7.60 points. It is shown that the snow mold varied in variants within the range of 2.04-2.32 points. The changes occurred depending on the seeding rates. It should be noted that the incidence of leaf diseases in winter wheat was generally insignificant. The prevalence of powdery mildew in most variants reached a significant value of76.3-92.2 %, and the intensity of the disease was low – 1.2–4.5 %. The prevalence of brown rust and septoria in the studied crops was less and amounted to 15.5–59.0 and 46.0–60.9 %, respectively. The intensity of these diseases was also insignificant – 0.3–6.2 % and 1.1–2.8 %, respectively. The sugar content varied in autumn and spring in different ways. The actual yield varied in the range of 6.74–8.07 t/ha. The yield varied depending on the seeding rates: at 6.0 mln germinating seeds it was 7.75 t/ha, at 4.5 mln – 7.40 t/ha, at 3.0 mln – 7.21 t/ha (NSR05 according to AB factors – 0.63). A significant reserve of resource saving of seed material (seeds) was identified. Nemchinovskaya 57, Moskovskaya 82, Moskovskaya 56 were noted as the most adapted varieties to environmental conditions with yields of 7.72; 7.68; 7.56 t/ha, respectively. The biological (potential) yield ranged 8.13 to 11.06 t/ha and the same varieties were distinguished.
A clinical case of the use of the developed biocomposite in veterinary traumatology
Authors: Artemyev Dmitry Alekseevich , Sherepera Sofia Olegovna
Published: December 2024

The authors proposed an original osteoplastic biocomposition material to accelerate the consolidation of fractures in animals. This biocomposite contains hydroxyapatite – 1.0 g, methyluracil – 1.0 g, amoxicillin – 0.05 g, sodium alginate – 0.75 g and solvent – water up to 50.0 ml as active substances. The object of the study was Tikhon the cat, who was admitted to the DoctorVet veterinary clinic 105 days after receiving the injury. The diagnosis is posttraumatic pseudoarthrosis of the middle third of the tibia on the left. X-rays of this patient were examined after rheosteosynthesis using an external fixation device and 1.5% biocomposition material, and the period of fusion of the bone structure was determined. On the third day after surgery, the animal recovered the motor function of the left pelvic limb, while the postoperative period passed without complications. The total consolidation period took eight weeks. A good anatomical and functional effect of treatment has been achieved, without the appearance of lameness. The described clinical case showed that even in the case of an aggravating anamnesis, but with the use of osteoplastic biocomposite, bone fusion occurred in 57 days, which accelerated the consolidation process by four weeks (33.2%).
Investigation of the influence of ambient temperature on the parameters of a film electric heater
Authors: Levinsky Vasily Nikolaevich , Popov Vitaly Matveevich , Epishkov Egor Nikolaevich , Afonkina Valentina Aleksandrovna
Published: December 2024

When designing heating systems, drying plants based on film electric heaters, it is necessary to take into account its maximum power per unit area (specific power). In the article, for a film electric heater with a resistive element in the form of a high-resistance foil, the dependences of the limiting surface temperature on its specific power are obtained, provided its position in space, taking into account the influence of ambient temperature. As a result of the research, a theoretical dependence was obtained that allows taking into account the based disturbing factors when choosing the parameters of film electric heaters, performing design.